diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 4e3f0112f..4b9061ec4 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -10,6 +10,7 @@
 import json
 import keyword
 import re
+import shutil
 from enum import StrEnum
 from graphlib import TopologicalSorter
 from pathlib import Path
@@ -17,11 +18,10 @@
 
 import typer
 
+from .logging import LogMode, configure_logging, get_logger, log_section
 from .pipeline import DecompBackend, DecompPipelineResult, DecompSubtasksResult
 
 
-# Must maintain declaration order
-# Newer versions must be declared on the bottom
 class DecompVersion(StrEnum):
     """Available versions of the decomposition pipeline template.
 
@@ -35,7 +35,8 @@ class DecompVersion(StrEnum):
 
     latest = "latest"
     v1 = "v1"
-    # v2 = "v2"
+    v2 = "v2"
+    # v3 = "v3"
 
 
 this_file_dir = Path(__file__).resolve().parent
@@ -44,52 +45,27 @@ class DecompVersion(StrEnum):
 def reorder_subtasks(
     subtasks: list[DecompSubtasksResult],
 ) -> list[DecompSubtasksResult]:
-    """Reorder subtasks based on their dependencies using topological sort.
-
-    Uses Python's graphlib.TopologicalSorter to perform a topological sort of
-    subtasks based on their depends_on relationships. Also renumbers the subtask
-    descriptions if they start with a number pattern (e.g., "1. ", "2. ").
-
-    Args:
-        subtasks: List of subtask dictionaries with 'tag' and 'depends_on' fields
-
-    Returns:
-        Reordered list of subtasks where all dependencies appear before dependents,
-        with subtask descriptions renumbered to match the new order
-
-    Raises:
-        ValueError: If a circular dependency is detected
-    """
-    # Build dependency graph
     subtask_map = {subtask["tag"].lower(): subtask for subtask in subtasks}
 
-    # Build graph for TopologicalSorter
-    # Format: {node: {dependencies}}
     graph = {}
     for tag, subtask in subtask_map.items():
         deps = subtask.get("depends_on", [])
-        # Filter to only include dependencies that exist in subtask_map
         valid_deps = {dep.lower() for dep in deps if dep.lower() in subtask_map}
         graph[tag] = valid_deps
 
-    # Perform topological sort
     try:
         ts = TopologicalSorter(graph)
         sorted_tags = list(ts.static_order())
     except ValueError as e:
-        # TopologicalSorter raises ValueError for circular dependencies
         raise ValueError(
             "Circular dependency detected in subtasks. Cannot automatically reorder."
         ) from e
 
-    # Get reordered subtasks
     reordered = [subtask_map[tag] for tag in sorted_tags]
 
-    # Renumber subtask descriptions if they start with "N. " pattern
     number_pattern = re.compile(r"^\d+\.\s+")
     for i, subtask in enumerate(reordered, start=1):
         if number_pattern.match(subtask["subtask"]):
-            # Replace the number at the start with the new position
             subtask["subtask"] = number_pattern.sub(f"{i}. ", subtask["subtask"])
 
     return reordered
@@ -98,39 +74,15 @@ def reorder_subtasks(
 def verify_user_variables(
     decomp_data: DecompPipelineResult, input_var: list[str] | None
 ) -> DecompPipelineResult:
-    """Verify and fix user variable ordering in subtasks.
-
-    Validates that:
-    1. All input_vars_required exist in the provided input_var list
-    2. All depends_on variables reference existing subtasks
-    3. Subtasks are ordered so dependencies appear before dependents
-
-    If dependencies are out of order, automatically reorders them using topological sort.
-
-    Args:
-        decomp_data: The decomposition pipeline result containing subtasks
-        input_var: List of user-provided input variable names
-
-    Returns:
-        The decomp_data with potentially reordered subtasks
-
-    Raises:
-        ValueError: If a required input variable is missing or dependencies are invalid
-    """
     if input_var is None:
         input_var = []
 
-    # Normalize input variables to lowercase for comparison
     available_input_vars = {var.lower() for var in input_var}
-
-    # Build set of all subtask tags
     all_subtask_tags = {subtask["tag"].lower() for subtask in decomp_data["subtasks"]}
 
-    # Validate that all required variables exist
     for subtask in decomp_data["subtasks"]:
         subtask_tag = subtask["tag"].lower()
 
-        # Check input_vars_required exist in provided input variables
         for required_var in subtask.get("input_vars_required", []):
             var_lower = required_var.lower()
             if var_lower not in available_input_vars:
@@ -140,7 +92,6 @@ def verify_user_variables(
                     f"Available input variables: {sorted(available_input_vars) if available_input_vars else 'none'}"
                 )
 
-        # Check that all dependencies exist somewhere in the subtasks
         for dep_var in subtask.get("depends_on", []):
             dep_lower = dep_var.lower()
             if dep_lower not in all_subtask_tags:
@@ -150,14 +101,12 @@ def verify_user_variables(
                     f"Available subtask tags: {sorted(all_subtask_tags)}"
                 )
 
-    # Check if reordering is needed
     needs_reordering = False
     defined_subtask_tags = set()
 
     for subtask in decomp_data["subtasks"]:
         subtask_tag = subtask["tag"].lower()
 
-        # Check if any dependency hasn't been defined yet
         for dep_var in subtask.get("depends_on", []):
             dep_lower = dep_var.lower()
             if dep_lower not in defined_subtask_tags:
@@ -169,7 +118,6 @@ def verify_user_variables(
 
         defined_subtask_tags.add(subtask_tag)
 
-    # Reorder if needed
     if needs_reordering:
         decomp_data["subtasks"] = reorder_subtasks(decomp_data["subtasks"])
 
@@ -182,7 +130,8 @@ def run(
         typer.Option(help="Path to an existing directory to save the output files."),
     ],
     out_name: Annotated[
-        str, typer.Option(help='Name for the output files. Defaults to "m_result".')
+        str,
+        typer.Option(help='Name for the output files. Defaults to "m_decomp_result".'),
     ] = "m_decomp_result",
     prompt_file: Annotated[
         typer.FileText | None,
@@ -192,12 +141,8 @@ def run(
         str,
         typer.Option(
             help=(
-                "Model name/id to be used to run the decomposition pipeline."
-                + ' Defaults to "mistral-small3.2:latest", which is valid for the "ollama" backend.'
-                + " If you have a vLLM instance serving a model from HF with vLLM's OpenAI"
-                + " compatible endpoint, then this option should be set to the model's HF name/id,"
-                + ' e.g. "mistralai/Mistral-Small-3.2-24B-Instruct-2506" and the "--backend" option'
-                + ' should be set to "openai".'
+                "Model name/id used to run the decomposition pipeline. "
+                'Defaults to "mistral-small3.2:latest", valid for the "ollama" backend.'
             )
         ),
     ] = "mistral-small3.2:latest",
@@ -205,11 +150,7 @@ def run(
         DecompBackend,
         typer.Option(
             help=(
-                'Backend to be used for inference. Defaults to "ollama".'
-                + ' Options are: "ollama" and "openai".'
-                + ' The "ollama" backend runs a local inference server.'
-                + ' The "openai" backend will send inference requests to any'
-                + " endpoint that's OpenAI compatible."
+                'Backend used for inference. Options: "ollama", "openai", and "rits".'
             ),
             case_sensitive=False,
         ),
@@ -217,35 +158,23 @@ def run(
     backend_req_timeout: Annotated[
         int,
         typer.Option(
-            help='Time (in seconds) for timeout to be passed on the model inference requests. Defaults to "300"'
+            help='Timeout in seconds for backend requests. Defaults to "300".'
         ),
     ] = 300,
     backend_endpoint: Annotated[
         str | None,
         typer.Option(
-            help=(
-                'The "endpoint URL", sometimes called "base URL",'
-                + ' to reach the model when using the "openai" backend.'
-                + ' This option is required if using "--backend openai".'
-            )
+            help='Backend endpoint / base URL. Required for "openai" and "rits".'
         ),
     ] = None,
     backend_api_key: Annotated[
         str | None,
-        typer.Option(
-            help=(
-                'The API key for the configured "--backend-endpoint".'
-                + ' If using "--backend openai" this option must be set,'
-                + " even if you are running locally (an OpenAI compatible server), you"
-                + ' must set this option, it can be set to "EMPTY" if your local'
-                + " server doesn't need it."
-            )
-        ),
+        typer.Option(help='Backend API key. Required for "openai" and "rits".'),
     ] = None,
     version: Annotated[
         DecompVersion,
         typer.Option(
-            help=("Version of the mellea program generator template to be used."),
+            help="Version of the mellea program generator template to use.",
             case_sensitive=False,
         ),
     ] = DecompVersion.latest,
@@ -253,15 +182,24 @@ def run(
         list[str] | None,
         typer.Option(
             help=(
-                "If your task needs user input data, you must pass"
-                + " a descriptive variable name using this option, this way"
-                + " the variable names can be templated into the generated prompts."
-                + " You can pass this option multiple times, one for each input variable name."
-                + " These names must be all uppercase, alphanumeric, with words separated by underscores."
+                "Optional user input variable names. "
+                "You may pass this option multiple times. "
+                "Each value must be a valid Python identifier."
             )
         ),
     ] = None,
+    log_mode: Annotated[
+        LogMode,
+        typer.Option(
+            help='Readable logging mode. Options: "demo" or "debug".',
+            case_sensitive=False,
+        ),
+    ] = LogMode.demo,
 ) -> None:
+    """Runs the decomposition pipeline."""
+    configure_logging(log_mode)
+    logger = get_logger("m_decompose.cli")
+
     """Decompose a task prompt into subtasks with constraints and dependency metadata.
 
     Reads the task prompt either from a file or interactively, runs the LLM
@@ -303,6 +241,15 @@ def run(
         from . import pipeline
         from .utils import validate_filename
 
+        log_section(logger, "m_decompose cli")
+        logger.info("out_dir        : %s", out_dir)
+        logger.info("out_name       : %s", out_name)
+        logger.info("backend        : %s", backend.value)
+        logger.info("model_id       : %s", model_id)
+        logger.info("version        : %s", version.value)
+        logger.info("log_mode       : %s", log_mode.value)
+        logger.info("input_vars     : %s", input_var or "[]")
+
         environment = Environment(
             loader=FileSystemLoader(this_file_dir), autoescape=False
         )
@@ -312,6 +259,8 @@ def run(
             if version == DecompVersion.latest
             else version.value
         )
+        logger.info("resolved version: %s", ver)
+
         m_template = environment.get_template(f"m_decomp_result_{ver}.py.jinja2")
 
         out_name = out_name.strip()
@@ -327,21 +276,19 @@ def run(
             assert all(
                 var.isidentifier() and not keyword.iskeyword(var) for var in input_var
             ), (
-                'One or more of the "input-var" are not valid. The input variables\' names must be a valid Python identifier'
+                'One or more of the "input-var" are not valid. '
+                "Each input variable name must be a valid Python identifier."
             )
 
+        log_section(logger, "load task prompt")
+
         if prompt_file:
-            decomp_data = pipeline.decompose(
-                task_prompt=prompt_file.read(),
-                user_input_variable=input_var,
-                model_id=model_id,
-                backend=backend,
-                backend_req_timeout=backend_req_timeout,
-                backend_endpoint=backend_endpoint,
-                backend_api_key=backend_api_key,
-            )
+            task_prompt = prompt_file.read()
+            user_input_variable = input_var
+            logger.info("prompt source  : file")
+            logger.info("prompt length  : %d", len(task_prompt))
         else:
-            task_prompt: str = typer.prompt(
+            task_prompt = typer.prompt(
                 (
                     "\nThis mode doesn't support tasks that need input data."
                     + '\nInput must be provided in a single line. Use "\\n" for new lines.'
@@ -350,37 +297,64 @@ def run(
                 type=str,
             )
             task_prompt = task_prompt.replace("\\n", "\n")
-            decomp_data = pipeline.decompose(
-                task_prompt=task_prompt,
-                user_input_variable=None,
-                model_id=model_id,
-                backend=backend,
-                backend_req_timeout=backend_req_timeout,
-                backend_endpoint=backend_endpoint,
-                backend_api_key=backend_api_key,
-            )
+            user_input_variable = None
+            logger.info("prompt source  : interactive")
+            logger.info("prompt length  : %d", len(task_prompt))
+
+        log_section(logger, "run pipeline")
+
+        decomp_data = pipeline.decompose(
+            task_prompt=task_prompt,
+            user_input_variable=user_input_variable,
+            model_id=model_id,
+            backend=backend,
+            backend_req_timeout=backend_req_timeout,
+            backend_endpoint=backend_endpoint,
+            backend_api_key=backend_api_key,
+            log_mode=log_mode,
+        )
+
+        logger.info("verify_user_variables: skipped")
+
+        log_section(logger, "write outputs")
 
-        # Verify that all user variables are properly defined before use
-        # This may reorder subtasks if dependencies are out of order
-        decomp_data = verify_user_variables(decomp_data, input_var)
+        decomp_dir = out_dir / out_name
+        val_fn_dir = decomp_dir / "validations"
 
-        with open(out_dir / f"{out_name}.json", "w") as f:
+        logger.info("creating output dir: %s", decomp_dir)
+        decomp_dir.mkdir(parents=True, exist_ok=False)
+        val_fn_dir.mkdir(exist_ok=True)
+
+        (val_fn_dir / "__init__.py").touch()
+
+        val_fn_count = 0
+        for constraint in decomp_data["identified_constraints"]:
+            if constraint["val_fn"] is not None:
+                val_fn_count += 1
+                with open(val_fn_dir / f"{constraint['val_fn_name']}.py", "w") as f:
+                    f.write(constraint["val_fn"] + "\n")
+
+        with open(decomp_dir / f"{out_name}.json", "w") as f:
             json.dump(decomp_data, f, indent=2)
 
-        with open(out_dir / f"{out_name}.py", "w") as f:
+        with open(decomp_dir / f"{out_name}.py", "w") as f:
             f.write(
                 m_template.render(
-                    subtasks=decomp_data["subtasks"], user_inputs=input_var
+                    subtasks=decomp_data["subtasks"],
+                    user_inputs=input_var,
+                    identified_constraints=decomp_data["identified_constraints"],
                 )
                 + "\n"
             )
-    except Exception:
-        created_json = Path(out_dir / f"{out_name}.json")
-        created_py = Path(out_dir / f"{out_name}.py")
 
-        if created_json.exists() and created_json.is_file():
-            created_json.unlink()
-        if created_py.exists() and created_py.is_file():
-            created_py.unlink()
+        logger.info("json written    : %s", decomp_dir / f"{out_name}.json")
+        logger.info("program written : %s", decomp_dir / f"{out_name}.py")
+        logger.info("validation files: %d", val_fn_count)
+        logger.info("")
+        logger.info("m_decompose CLI completed successfully")
 
-        raise Exception
+    except Exception:
+        decomp_dir = out_dir / out_name
+        if decomp_dir.exists() and decomp_dir.is_dir():
+            shutil.rmtree(decomp_dir)
+        raise
diff --git a/cli/decompose/logging.py b/cli/decompose/logging.py
new file mode 100644
index 000000000..4f32440cb
--- /dev/null
+++ b/cli/decompose/logging.py
@@ -0,0 +1,44 @@
+import logging
+import sys
+from enum import StrEnum
+
+
+class LogMode(StrEnum):
+    demo = "demo"
+    debug = "debug"
+
+
+_CONFIGURED = False
+
+
+def configure_logging(log_mode: LogMode = LogMode.demo) -> None:
+    global _CONFIGURED
+
+    level = logging.DEBUG if log_mode == LogMode.debug else logging.INFO
+
+    root_logger = logging.getLogger()
+
+    if not _CONFIGURED:
+        handler = logging.StreamHandler(sys.stdout)
+        handler.setFormatter(
+            logging.Formatter("[%(levelname)s] %(name)s | %(message)s")
+        )
+        root_logger.handlers.clear()
+        root_logger.addHandler(handler)
+        _CONFIGURED = True
+
+    root_logger.setLevel(level)
+
+    logging.getLogger("m_decompose").setLevel(level)
+    logging.getLogger("mellea").setLevel(level)
+
+
+def get_logger(name: str) -> logging.Logger:
+    return logging.getLogger(name)
+
+
+def log_section(logger: logging.Logger, title: str) -> None:
+    logger.info("")
+    logger.info("=" * 72)
+    logger.info(title)
+    logger.info("=" * 72)
diff --git a/cli/decompose/m_decomp_result_v1.py.jinja2 b/cli/decompose/m_decomp_result_v1.py.jinja2
index 7aa1d54f4..1f1e3646e 100644
--- a/cli/decompose/m_decomp_result_v1.py.jinja2
+++ b/cli/decompose/m_decomp_result_v1.py.jinja2
@@ -4,6 +4,14 @@ import os
 import textwrap
 
 import mellea
+{%- if "code" in identified_constraints | map(attribute="val_strategy") %}
+from mellea.stdlib.requirement import req
+{% for c in identified_constraints %}
+{%- if c.val_fn %}
+from validations.{{ c.val_fn_name }} import validate_input as {{ c.val_fn_name }}
+{%- endif %}
+{%- endfor %}
+{%- endif %}
 
 m = mellea.start_session()
 {%- if user_inputs %}
@@ -30,7 +38,14 @@ except KeyError as e:
     {%- if item.constraints %}
     requirements=[
         {%- for c in item.constraints %}
+        {%- if c.val_fn %}
+        req(
+            {{ c.constraint | tojson}},
+            validation_fn={{ c.val_fn_name }},
+        ),
+        {%- else %}
         {{ c.constraint | tojson}},
+        {%- endif %}
         {%- endfor %}
     ],
     {%- else %}
diff --git a/cli/decompose/m_decomp_result_v2.py.jinja2 b/cli/decompose/m_decomp_result_v2.py.jinja2
new file mode 100644
index 000000000..9b1bb13c6
--- /dev/null
+++ b/cli/decompose/m_decomp_result_v2.py.jinja2
@@ -0,0 +1,91 @@
+{% if user_inputs -%}
+import os
+{% endif -%}
+import textwrap
+
+import mellea
+{%- if "code" in identified_constraints | map(attribute="val_strategy") %}
+from mellea.stdlib.requirement import req
+{% for c in identified_constraints %}
+{%- if c.val_fn %}
+from validations.{{ c.val_fn_name }} import validate_input as {{ c.val_fn_name }}
+{%- endif %}
+{%- endfor %}
+{%- endif %}
+
+m = mellea.start_session()
+{%- if user_inputs %}
+
+
+# User Input Variables
+try:
+    {%- for var in user_inputs %}
+    {{ var | lower }} = os.environ["{{ var | upper }}"]
+    {%- endfor %}
+except KeyError as e:
+    print(f"ERROR: One or more required environment variables are not set; {e}")
+    exit(1)
+{%- endif %}
+{%- for item in subtasks %}
+
+
+{{ item.tag | lower }}_gnrl = textwrap.dedent(
+    R"""
+    {{ item.general_instructions | trim | indent(width=4, first=False) }}
+    """.strip()
+)
+{{ item.tag | lower }} = m.instruct(
+    {%- if not item.input_vars_required %}
+    {{ item.subtask[3:] | trim | tojson }},
+    {%- else %}
+    textwrap.dedent(
+        R"""
+        {{ item.subtask[3:] | trim }}
+
+        Here are the input variables and their content:
+        {%- for var in item.input_vars_required %}
+
+        - {{ var | upper }} = {{ "{{" }}{{ var | upper }}{{ "}}" }}
+        {%- endfor %}
+        """.strip()
+    ),
+    {%- endif %}
+    {%- if item.constraints %}
+    requirements=[
+        {%- for c in item.constraints %}
+        {%- if c.val_fn %}
+        req(
+            {{ c.constraint | tojson}},
+            validation_fn={{ c.val_fn_name }},
+        ),
+        {%- else %}
+        {{ c.constraint | tojson}},
+        {%- endif %}
+        {%- endfor %}
+    ],
+    {%- else %}
+    requirements=None,
+    {%- endif %}
+    {%- if item.input_vars_required %}
+    user_variables={
+        {%- for var in item.input_vars_required %}
+        {{ var | upper | tojson }}: {{ var | lower }},
+        {%- endfor %}
+    },
+    {%- endif %}
+    grounding_context={
+        "GENERAL_INSTRUCTIONS": {{ item.tag | lower }}_gnrl,
+        {%- for var in item.depends_on %}
+        {{ var | upper | tojson }}: {{ var | lower }}.value,
+        {%- endfor %}
+    },
+)
+assert {{ item.tag | lower }}.value is not None, 'ERROR: task "{{ item.tag | lower }}" execution failed'
+{%- if loop.last %}
+
+
+final_answer = {{ item.tag | lower }}.value
+
+print(final_answer)
+{%- endif -%}
+{%- endfor -%}
diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index 452e16a5b..1ee20246c 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -1,3 +1,4 @@
+# decompose/pipeline.py
 """Core decomposition pipeline that breaks a task prompt into structured subtasks.
 
 Provides the ``decompose()`` function, which orchestrates a series of LLM calls
@@ -16,12 +17,14 @@
 from mellea.backends.ollama import OllamaModelBackend
 from mellea.backends.openai import OpenAIBackend
 
+from .logging import LogMode, configure_logging, get_logger, log_section
 from .prompt_modules import (
     constraint_extractor,
-    # general_instructions,
+    general_instructions,
     subtask_constraint_assign,
     subtask_list,
     subtask_prompt_generator,
+    validation_code_generator,
     validation_decision,
 )
 from .prompt_modules.subtask_constraint_assign import SubtaskPromptConstraintsItem
@@ -29,6 +32,11 @@
 from .prompt_modules.subtask_prompt_generator import SubtaskPromptItem
 
 
+class ConstraintValData(TypedDict):
+    val_strategy: Literal["code", "llm"]
+    val_fn: str | None
+
+
 class ConstraintResult(TypedDict):
     """A single constraint paired with its assigned validation strategy.
 
@@ -39,7 +47,9 @@ class ConstraintResult(TypedDict):
     """
 
     constraint: str
-    validation_strategy: str
+    val_strategy: Literal["code", "llm"]
+    val_fn: str | None
+    val_fn_name: str
 
 
 class DecompSubtasksResult(TypedDict):
@@ -65,7 +75,7 @@ class DecompSubtasksResult(TypedDict):
     tag: str
     constraints: list[ConstraintResult]
     prompt_template: str
-    # general_instructions: str
+    general_instructions: str
     input_vars_required: list[str]
     depends_on: list[str]
     generated_response: NotRequired[str]
@@ -111,51 +121,52 @@ class DecompBackend(StrEnum):
 RE_JINJA_VAR = re.compile(r"\{\{\s*(.*?)\s*\}\}")
 
 
-def decompose(
-    task_prompt: str,
-    user_input_variable: list[str] | None = None,
+def _dedupe_keep_order(items: list[str]) -> list[str]:
+    return list(dict.fromkeys(items))
+
+
+def _extract_jinja_vars(prompt_template: str) -> list[str]:
+    return re.findall(RE_JINJA_VAR, prompt_template)
+
+
+def _preview_text(text: str, max_len: int = 240) -> str:
+    text = " ".join(text.strip().split())
+    if len(text) <= max_len:
+        return text
+    return text[:max_len] + " ..."
+
+
+# -------------------------------------------------------------------
+# backend
+# -------------------------------------------------------------------
+def build_backend_session(
     model_id: str = "mistral-small3.2:latest",
     backend: DecompBackend = DecompBackend.ollama,
     backend_req_timeout: int = 300,
     backend_endpoint: str | None = None,
     backend_api_key: str | None = None,
-) -> DecompPipelineResult:
-    """Break a task prompt into structured subtasks using a multi-step LLM pipeline.
+    log_mode: LogMode = LogMode.demo,  # kept for signature compatibility
+) -> MelleaSession:
+    logger = get_logger("m_decompose.backend")
+    log_section(logger, "backend")
 
-    Orchestrates a series of sequential LLM calls to produce a fully structured
-    decomposition: subtask listing, constraint extraction, validation strategy
-    selection, prompt template generation, and per-subtask constraint assignment.
-    The number of calls depends on the number of constraints extracted.
+    logger.info("backend      : %s", backend.value)
+    logger.info("model_id     : %s", model_id)
+    logger.info("timeout      : %s", backend_req_timeout)
+    if backend_endpoint:
+        logger.info("endpoint     : %s", backend_endpoint)
 
-    Args:
-        task_prompt: Natural-language description of the task to decompose.
-        user_input_variable: Optional list of variable names that will be
-            templated into generated prompts as user-provided input data. Pass
-            ``None`` or an empty list if the task requires no input variables.
-        model_id: Model name or ID used for all pipeline steps.
-        backend: Inference backend -- ``"ollama"``, ``"openai"``, or ``"rits"``.
-        backend_req_timeout: Request timeout in seconds for model inference calls.
-        backend_endpoint: Base URL of the OpenAI-compatible endpoint. Required
-            when ``backend`` is ``"openai"`` or ``"rits"``.
-        backend_api_key: API key for the configured endpoint. Required when
-            ``backend`` is ``"openai"`` or ``"rits"``.
-
-    Returns:
-        A ``DecompPipelineResult`` containing the original prompt, subtask list,
-        identified constraints, and fully annotated subtask objects with prompt
-        templates, constraint assignments, and dependency information.
-    """
-    if user_input_variable is None:
-        user_input_variable = []
-
-    # region Backend Assignment
     match backend:
         case DecompBackend.ollama:
-            m_session = MelleaSession(
+            logger.info("initializing Ollama backend")
+            session = MelleaSession(
                 OllamaModelBackend(
-                    model_id=model_id, model_options={ModelOption.CONTEXT_WINDOW: 16384}
+                    model_id=model_id,
+                    base_url=backend_endpoint,
+                    model_options={ModelOption.CONTEXT_WINDOW: 16384},
                 )
             )
+
         case DecompBackend.openai:
             assert backend_endpoint is not None, (
                 'Required to provide "backend_endpoint" for this configuration'
@@ -163,7 +174,9 @@ def decompose(
             assert backend_api_key is not None, (
                 'Required to provide "backend_api_key" for this configuration'
             )
-            m_session = MelleaSession(
+
+            logger.info("initializing OpenAI-compatible backend")
+            session = MelleaSession(
                 OpenAIBackend(
                     model_id=model_id,
                     base_url=backend_endpoint,
@@ -171,6 +184,7 @@ def decompose(
                     model_options={"timeout": backend_req_timeout},
                 )
             )
+
         case DecompBackend.rits:
             assert backend_endpoint is not None, (
                 'Required to provide "backend_endpoint" for this configuration'
@@ -179,28 +193,100 @@ def decompose(
                 'Required to provide "backend_api_key" for this configuration'
             )
 
+            logger.info("initializing RITS backend")
             from mellea_ibm.rits import RITSBackend, RITSModelIdentifier  # type: ignore
 
-            m_session = MelleaSession(
+            session = MelleaSession(
                 RITSBackend(
                     RITSModelIdentifier(endpoint=backend_endpoint, model_name=model_id),
                     api_key=backend_api_key,
                     model_options={"timeout": backend_req_timeout},
                 )
             )
-    # endregion
 
+    logger.info("backend session ready")
+    return session
+
+
+# -------------------------------------------------------------------
+# task_decompose
+# -------------------------------------------------------------------
+def task_decompose(
+    m_session: MelleaSession,
+    task_prompt: str,
+    log_mode: LogMode = LogMode.demo,  # kept for compatibility
+) -> tuple[list[SubtaskItem], list[str]]:
+    logger = get_logger("m_decompose.task_decompose")
+    log_section(logger, "task_decompose")
+
+    logger.info("generating subtask list")
     subtasks: list[SubtaskItem] = subtask_list.generate(m_session, task_prompt).parse()
 
-    task_prompt_constraints: list[str] = constraint_extractor.generate(
+    logger.info("subtasks found: %d", len(subtasks))
+    for i, item in enumerate(subtasks, start=1):
+        logger.info("  [%02d] tag=%s | subtask=%s", i, item.tag, item.subtask)
+
+    logger.info("extracting task constraints")
+    task_constraints: list[str] = constraint_extractor.generate(
         m_session, task_prompt, enforce_same_words=False
     ).parse()
 
-    constraint_validation_strategies: dict[str, Literal["code", "llm"]] = {
-        cons_key: validation_decision.generate(m_session, cons_key).parse() or "llm"
-        for cons_key in task_prompt_constraints
-    }
+    logger.info("constraints found: %d", len(task_constraints))
+    for i, cons in enumerate(task_constraints, start=1):
+        logger.info("  [%02d] %s", i, cons)
+
+    return subtasks, task_constraints
+
+
+# -------------------------------------------------------------------
+# constraint_validate
+# -------------------------------------------------------------------
+def constraint_validate(
+    m_session: MelleaSession,
+    task_constraints: list[str],
+    log_mode: LogMode = LogMode.demo,  # kept for compatibility
+) -> dict[str, ConstraintValData]:
+    logger = get_logger("m_decompose.constraint_validate")
+    log_section(logger, "constraint_validate")
+
+    constraint_val_data: dict[str, ConstraintValData] = {}
 
+    for idx, cons_key in enumerate(task_constraints, start=1):
+        logger.info("constraint [%02d]: %s", idx, cons_key)
+
+        val_strategy = (
+            validation_decision.generate(m_session, cons_key).parse() or "llm"
+        )
+        logger.info("  strategy: %s", val_strategy)
+
+        val_fn: str | None = None
+        if val_strategy == "code":
+            logger.info("  generating validation code")
+            val_fn = validation_code_generator.generate(m_session, cons_key).parse()
+            logger.debug("  generated val_fn length: %d", len(val_fn) if val_fn else 0)
+        else:
+            logger.info("  validation mode: llm")
+
+        constraint_val_data[cons_key] = {"val_strategy": val_strategy, "val_fn": val_fn}
+
+    return constraint_val_data
+
+
+# -------------------------------------------------------------------
+# task_execute
+# -------------------------------------------------------------------
+def task_execute(
+    m_session: MelleaSession,
+    task_prompt: str,
+    user_input_variable: list[str],
+    subtasks: list[SubtaskItem],
+    task_constraints: list[str],
+    log_mode: LogMode = LogMode.demo,  # kept for compatibility
+) -> list[SubtaskPromptConstraintsItem]:
+    logger = get_logger("m_decompose.task_execute")
+    log_section(logger, "task_execute")
+
+    logger.info("generating prompt templates for subtasks")
     subtask_prompts: list[SubtaskPromptItem] = subtask_prompt_generator.generate(
         m_session,
         task_prompt,
@@ -208,66 +294,212 @@ def decompose(
         subtasks_and_tags=subtasks,
     ).parse()
 
+    logger.info("subtask prompt templates generated: %d", len(subtask_prompts))
+    for i, item in enumerate(subtask_prompts, start=1):
+        logger.info("  [%02d] tag=%s", i, item.tag)
+        logger.debug("       prompt_template=%s", item.prompt_template)
+
+    logger.info("assigning constraints to subtasks")
     subtask_prompts_with_constraints: list[SubtaskPromptConstraintsItem] = (
         subtask_constraint_assign.generate(
             m_session,
             subtasks_tags_and_prompts=subtask_prompts,
-            constraint_list=task_prompt_constraints,
+            constraint_list=task_constraints,
         ).parse()
     )
 
-    decomp_subtask_result: list[DecompSubtasksResult] = [
-        DecompSubtasksResult(
+    logger.info(
+        "constraint assignment completed: %d", len(subtask_prompts_with_constraints)
+    )
+    for i, item in enumerate(subtask_prompts_with_constraints, start=1):
+        logger.info(
+            "  [%02d] tag=%s | assigned_constraints=%d",
+            i,
+            item.tag,
+            len(item.constraints),
+        )
+        for cons in item.constraints:
+            logger.debug("       - %s", cons)
+
+    return subtask_prompts_with_constraints
+
+
+# -------------------------------------------------------------------
+# finalize_result
+# -------------------------------------------------------------------
+def finalize_result(
+    m_session: MelleaSession,
+    task_prompt: str,
+    user_input_variable: list[str],
+    subtasks: list[SubtaskItem],
+    task_constraints: list[str],
+    constraint_val_data: dict[str, ConstraintValData],
+    subtask_prompts_with_constraints: list[SubtaskPromptConstraintsItem],
+    log_mode: LogMode = LogMode.demo,  # kept for compatibility
+) -> DecompPipelineResult:
+    logger = get_logger("m_decompose.finalize_result")
+    log_section(logger, "finalize_result")
+
+    decomp_subtask_result: list[DecompSubtasksResult] = []
+
+    for subtask_i, subtask_data in enumerate(subtask_prompts_with_constraints, start=1):
+        jinja_vars = _extract_jinja_vars(subtask_data.prompt_template)
+
+        input_vars_required = _dedupe_keep_order(
+            [item for item in jinja_vars if item in user_input_variable]
+        )
+        depends_on = _dedupe_keep_order(
+            [item for item in jinja_vars if item not in user_input_variable]
+        )
+
+        logger.info("finalizing subtask [%02d] tag=%s", subtask_i, subtask_data.tag)
+        logger.info("  input_vars_required: %s", input_vars_required or "[]")
+        logger.info("  depends_on         : %s", depends_on or "[]")
+
+        subtask_constraints: list[ConstraintResult] = [
+            {
+                "constraint": cons_str,
+                "val_strategy": constraint_val_data[cons_str]["val_strategy"],
+                "val_fn_name": f"val_fn_{task_constraints.index(cons_str) + 1}",
+                "val_fn": constraint_val_data[cons_str]["val_fn"],
+            }
+            for cons_str in subtask_data.constraints
+        ]
+
+        subtask_result: DecompSubtasksResult = DecompSubtasksResult(
             subtask=subtask_data.subtask,
             tag=subtask_data.tag,
-            constraints=[
-                {
-                    "constraint": cons_str,
-                    "validation_strategy": constraint_validation_strategies.get(
-                        cons_str, "llm"
-                    ),
-                }
-                for cons_str in subtask_data.constraints
-            ],
+            constraints=subtask_constraints,
             prompt_template=subtask_data.prompt_template,
-            # general_instructions=general_instructions.generate(
-            #     m_session, input_str=subtask_data.prompt_template
-            # ).parse(),
-            input_vars_required=list(
-                dict.fromkeys(  # Remove duplicates while preserving the original order.
-                    [
-                        item
-                        for item in re.findall(
-                            RE_JINJA_VAR, subtask_data.prompt_template
-                        )
-                        if item in user_input_variable
-                    ]
-                )
-            ),
-            depends_on=list(
-                dict.fromkeys(  # Remove duplicates while preserving the original order.
-                    [
-                        item
-                        for item in re.findall(
-                            RE_JINJA_VAR, subtask_data.prompt_template
-                        )
-                        if item not in user_input_variable
-                    ]
-                )
-            ),
+            general_instructions=general_instructions.generate(
+                m_session, input_str=subtask_data.prompt_template
+            ).parse(),
+            input_vars_required=input_vars_required,
+            depends_on=depends_on,
+        )
+
+        logger.debug("  prompt_template=%s", subtask_result["prompt_template"])
+        logger.debug(
+            "  general_instructions=%s", subtask_result["general_instructions"]
         )
-        for subtask_data in subtask_prompts_with_constraints
-    ]
 
-    return DecompPipelineResult(
+        decomp_subtask_result.append(subtask_result)
+
+    result = DecompPipelineResult(
         original_task_prompt=task_prompt,
         subtask_list=[item.subtask for item in subtasks],
         identified_constraints=[
             {
                 "constraint": cons_str,
-                "validation_strategy": constraint_validation_strategies[cons_str],
+                "val_strategy": constraint_val_data[cons_str]["val_strategy"],
+                "val_fn": constraint_val_data[cons_str]["val_fn"],
+                "val_fn_name": f"val_fn_{cons_i + 1}",
             }
-            for cons_str in task_prompt_constraints
+            for cons_i, cons_str in enumerate(task_constraints)
         ],
         subtasks=decomp_subtask_result,
     )
+
+    logger.info("pipeline result finalized")
+    logger.info("  total_subtasks   : %d", len(result["subtasks"]))
+    logger.info("  total_constraints: %d", len(result["identified_constraints"]))
+    logger.info("  verify step      : skipped")
+
+    return result
+
+
+# -------------------------------------------------------------------
+# public entry
+# -------------------------------------------------------------------
+def decompose(
+    task_prompt: str,
+    user_input_variable: list[str] | None = None,
+    model_id: str = "mistral-small3.2:latest",
+    backend: DecompBackend = DecompBackend.ollama,
+    backend_req_timeout: int = 300,
+    backend_endpoint: str | None = None,
+    backend_api_key: str | None = None,
+    log_mode: LogMode = LogMode.demo,
+) -> DecompPipelineResult:
+    """Break a task prompt into structured subtasks using a multi-step LLM pipeline.
+
+    Orchestrates a series of sequential LLM calls to produce a fully structured
+    decomposition: subtask listing, constraint extraction, validation strategy
+    selection, prompt template generation, and per-subtask constraint assignment.
+    The number of calls depends on the number of constraints extracted.
+
+    Args:
+        task_prompt: Natural-language description of the task to decompose.
+        user_input_variable: Optional list of variable names that will be
+            templated into generated prompts as user-provided input data. Pass
+            ``None`` or an empty list if the task requires no input variables.
+        model_id: Model name or ID used for all pipeline steps.
+        backend: Inference backend -- ``"ollama"``, ``"openai"``, or ``"rits"``.
+        backend_req_timeout: Request timeout in seconds for model inference calls.
+        backend_endpoint: Base URL of the OpenAI-compatible endpoint. Required
+            when ``backend`` is ``"openai"`` or ``"rits"``.
+        backend_api_key: API key for the configured endpoint. Required when
+            ``backend`` is ``"openai"`` or ``"rits"``.
+        log_mode: Mode of logging detail to emit during pipeline execution.
+
+    Returns:
+        A ``DecompPipelineResult`` containing the original prompt, subtask list,
+        identified constraints, and fully annotated subtask objects with prompt
+        templates, constraint assignments, and dependency information.
+    """
+
+    configure_logging(log_mode)
+    logger = get_logger("m_decompose.pipeline")
+    log_section(logger, "m_decompose pipeline")
+
+    if user_input_variable is None:
+        user_input_variable = []
+
+    logger.info("log_mode       : %s", log_mode.value)
+    logger.info("user_input_vars: %s", user_input_variable or "[]")
+
+    if log_mode == LogMode.debug:
+        logger.info("user_query     : %s", task_prompt)
+    else:
+        logger.info("user_query     : %s", _preview_text(task_prompt))
+
+    m_session = build_backend_session(
+        model_id=model_id,
+        backend=backend,
+        backend_req_timeout=backend_req_timeout,
+        backend_endpoint=backend_endpoint,
+        backend_api_key=backend_api_key,
+        log_mode=log_mode,
+    )
+
+    subtasks, task_constraints = task_decompose(
+        m_session=m_session, task_prompt=task_prompt, log_mode=log_mode
+    )
+
+    constraint_val_data = constraint_validate(
+        m_session=m_session, task_constraints=task_constraints, log_mode=log_mode
+    )
+
+    subtask_prompts_with_constraints = task_execute(
+        m_session=m_session,
+        task_prompt=task_prompt,
+        user_input_variable=user_input_variable,
+        subtasks=subtasks,
+        task_constraints=task_constraints,
+        log_mode=log_mode,
+    )
+
+    result = finalize_result(
+        m_session=m_session,
+        task_prompt=task_prompt,
+        user_input_variable=user_input_variable,
+        subtasks=subtasks,
+        task_constraints=task_constraints,
+        constraint_val_data=constraint_val_data,
+        subtask_prompts_with_constraints=subtask_prompts_with_constraints,
+        log_mode=log_mode,
+    )
+
+    logger.info("")
+    logger.info("m_decompose pipeline completed successfully")
+    return result
diff --git a/cli/decompose/prompt_modules/__init__.py b/cli/decompose/prompt_modules/__init__.py
index 19b7079e3..922bdcbe8 100644
--- a/cli/decompose/prompt_modules/__init__.py
+++ b/cli/decompose/prompt_modules/__init__.py
@@ -7,4 +7,7 @@
 from .subtask_prompt_generator import (
     subtask_prompt_generator as subtask_prompt_generator,
 )
+from .validation_code_generator import (
+    validation_code_generator as validation_code_generator,
+)
 from .validation_decision import validation_decision as validation_decision
diff --git a/cli/decompose/prompt_modules/subtask_constraint_assign/_prompt/system_template.jinja2 b/cli/decompose/prompt_modules/subtask_constraint_assign/_prompt/system_template.jinja2
index 30baaf93a..e5cad42e7 100644
--- a/cli/decompose/prompt_modules/subtask_constraint_assign/_prompt/system_template.jinja2
+++ b/cli/decompose/prompt_modules/subtask_constraint_assign/_prompt/system_template.jinja2
@@ -8,7 +8,7 @@ You will be provided with the following 4 parameters inside their respective tag
 4. <all_constraints> : A list of candidate (possible) constraints that can be assigned to the target task.
 </parameters>
 
-The <all_constraints> list contain the constraints of all tasks on the <execution_plan>, your job is to filter and select only the constraints belonging to your target task.
+The <all_constraints> is a list of constraints identified for the entire <execution_plan>, your job is to filter and select only the constraints belonging to your target task.
 It is possible that none of the constraints in the <all_constraints> are relevant or related to your target task.
 
 Below, enclosed in <general_instructions> tags, are instructions to guide you on how to complete your assignment:
diff --git a/cli/decompose/prompt_modules/validation_code_generator/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/__init__.py
new file mode 100644
index 000000000..dfb4bd0ce
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/__init__.py
@@ -0,0 +1,7 @@
+from ._exceptions import (
+    BackendGenerationError as BackendGenerationError,
+    TagExtractionError as TagExtractionError,
+)
+from ._validation_code_generator import (
+    validation_code_generator as validation_code_generator,
+)
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_exceptions.py b/cli/decompose/prompt_modules/validation_code_generator/_exceptions.py
new file mode 100644
index 000000000..d808b613d
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_exceptions.py
@@ -0,0 +1,24 @@
+from typing import Any
+
+
+class ValidationCodeGeneratorError(Exception):
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        self.error_message = error_message
+        self.__dict__.update(kwargs)
+        super().__init__(
+            f'Module Error "validation_code_generator"; {self.error_message}'
+        )
+
+
+class BackendGenerationError(ValidationCodeGeneratorError):
+    """Raised when LLM generation fails in the "validation_code_generator" prompt module."""
+
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        super().__init__(error_message, **kwargs)
+
+
+class TagExtractionError(ValidationCodeGeneratorError):
+    """Raised when tag extraction fails in the "validation_code_generator" prompt module."""
+
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        super().__init__(error_message, **kwargs)
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/__init__.py
new file mode 100644
index 000000000..0b985cbe6
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/__init__.py
@@ -0,0 +1,5 @@
+from ._icl_examples import icl_examples as default_icl_examples
+from ._prompt import (
+    get_system_prompt as get_system_prompt,
+    get_user_prompt as get_user_prompt,
+)
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/__init__.py
new file mode 100644
index 000000000..052fe7c99
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/__init__.py
@@ -0,0 +1,2 @@
+from ._icl_examples import icl_examples as icl_examples
+from ._types import ICLExample as ICLExample
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/_example.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/_example.py
new file mode 100644
index 000000000..9bb4e23da
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/_example.py
@@ -0,0 +1,24 @@
+# ruff: noqa: W293
+from .._types import ICLExample
+
+constraint_requirement = """You must not use any uppercase letters"""
+
+validation_function = """def validate_input(input: str) -> bool:
+    \"""
+    Validates that the input contains only lowercase letters.
+    
+    Args:
+        input (str): The input to validate
+        
+    Returns:
+        bool: True if all characters are lowercase, False otherwise
+    \"""
+    try:
+        return answer.islower()
+    except Exception:
+        return False"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_function": validation_function,
+}
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/_example.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/_example.py
new file mode 100644
index 000000000..6e2d98fe0
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/_example.py
@@ -0,0 +1,31 @@
+# ruff: noqa: W293
+from .._types import ICLExample
+
+constraint_requirement = """The answer must be a JSON with the following keys:
+1. "subject"
+2. "content\""""
+
+validation_function = """import json
+
+def validate_input(input: str) -> bool:
+    \"""
+    Validates that the input is a JSON with required keys: subject and content.
+    
+    Args:
+        input (str): The input to validate
+        
+    Returns:
+        bool: True if JSON has required keys, False otherwise
+    \"""
+    try:
+        data = json.loads(response)
+        return isinstance(data, dict) and "subject" in data and "content" in data
+    except json.JSONDecodeError:
+        return False
+    except Exception:
+        return False"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_function": validation_function,
+}
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/_example.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/_example.py
new file mode 100644
index 000000000..65070a6ed
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/_example.py
@@ -0,0 +1,58 @@
+# ruff: noqa: W293
+from .._types import ICLExample
+
+constraint_requirement = "Return a list of requirements, using dash bullets (-), where each item begins with the relevant entity"
+
+validation_function = """def validate_input(input: str) -> bool:
+    \"""
+    Validates that the input is a list of requirements using dash bullets,
+    where each item begins with the relevant entity.
+    
+    Args:
+        input (str): The input to validate
+        
+    Returns:
+        bool: True if input follows the required format, False otherwise
+    \"""
+    try:
+        if not input or not isinstance(input, str):
+            return False
+            
+        lines = input.strip().split('\n')
+        
+        # Check if all lines are empty
+        if not any(line.strip() for line in lines):
+            return False
+            
+        for line in lines:
+            line = line.strip()
+            
+            # Skip empty lines
+            if not line:
+                continue
+                
+            # Check if line starts with a dash bullet
+            if not line.startswith('- '):
+                return False
+                
+            # Check if there's content after the dash bullet
+            content = line[2:].strip()  # Remove '- ' prefix
+            if not content:
+                return False
+                
+            # Check if content has an entity (word) at the beginning
+            words = content.split()
+            if not words:
+                return False
+                
+            # Entity should be the first word - just check it exists
+            # We're not validating what constitutes a valid entity here
+            
+        return True
+    except Exception:
+        return False"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_function": validation_function,
+}
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/_example.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/_example.py
new file mode 100644
index 000000000..f1af01ab1
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/_example.py
@@ -0,0 +1,31 @@
+# ruff: noqa: W293
+from .._types import ICLExample
+
+constraint_requirement = 'Avoid the words "daughter-in-law" and "grandson"'
+
+validation_function = """def validate_input(input: str) -> bool:
+    \"""
+    Validates that the input does not contain the words "daughter-in-law" and "grandson".
+    
+    Args:
+        input (str): The input to validate
+        
+    Returns:
+        bool: True if neither word is found, False otherwise
+    \"""
+    try:
+        if not input:
+            return False
+            
+        # Convert to lowercase for case-insensitive comparison
+        input_lower = input.lower()
+        
+        # Check if either forbidden word is present
+        return "daughter-in-law" not in input_lower and "grandson" not in input_lower
+    except Exception:
+        return False"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_function": validation_function,
+}
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_icl_examples.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_icl_examples.py
new file mode 100644
index 000000000..c018d2e41
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_icl_examples.py
@@ -0,0 +1,5 @@
+from ._example_1 import example as example_1
+from ._example_2 import example as example_2
+from ._types import ICLExample
+
+icl_examples: list[ICLExample] = [example_1, example_2]
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_types.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_types.py
new file mode 100644
index 000000000..bdd1f2372
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_types.py
@@ -0,0 +1,6 @@
+from typing import TypedDict
+
+
+class ICLExample(TypedDict):
+    constraint_requirement: str
+    validation_function: str
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_prompt.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_prompt.py
new file mode 100644
index 000000000..b324180fc
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_prompt.py
@@ -0,0 +1,19 @@
+from pathlib import Path
+
+from jinja2 import Environment, FileSystemLoader
+
+from ._icl_examples import ICLExample, icl_examples as default_icl_examples
+
+this_file_dir = Path(__file__).resolve().parent
+
+environment = Environment(loader=FileSystemLoader(this_file_dir), autoescape=False)
+system_template = environment.get_template("system_template.jinja2")
+user_template = environment.get_template("user_template.jinja2")
+
+
+def get_system_prompt(icl_examples: list[ICLExample] = default_icl_examples) -> str:
+    return system_template.render(icl_examples=icl_examples).strip()
+
+
+def get_user_prompt(constraint_requirement: str) -> str:
+    return user_template.render(constraint_requirement=constraint_requirement).strip()
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/system_template.jinja2 b/cli/decompose/prompt_modules/validation_code_generator/_prompt/system_template.jinja2
new file mode 100644
index 000000000..7b414d0d5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/system_template.jinja2
@@ -0,0 +1,77 @@
+You are a Python developer specialized in writing validation functions based on natural language constraints or requirements.
+
+## Function Requirements
+
+You will be provided with a constraint/requirement inside the <constraint_requirement> tags.
+Your task is to write a Python function capable of validating the <constraint_requirement> against a text input to your function.
+
+Your code must:
+- Be a single Python function.
+- Take exactly one string parameter (the text input to be validated).
+- Return a boolean value (True if valid or False if invalid).
+- Use only standard Python libraries. No third-party dependencies.
+- Be deterministic and self-contained.
+- If the constraint/requirement mentions data that was not provided, just return `False` (don't need to implement code).
+
+## Output Format
+
+Your response must be structured as follows:
+- Your Python function must be inside the <validation_function> tags.
+- The function signature must be: `def validate_input(input: str) -> bool:`.
+- Always enclose your code on a "try..except Exception:" clause and return `False` in case of exceptions.
+
+## Examples
+
+Here are some complete examples showing constraints/requirements and their corresponding validation functions:
+
+{% for item in icl_examples -%}
+<example_{{ loop.index }}>
+<constraint_requirement>
+{{ item["constraint_requirement"] }}
+</constraint_requirement>
+<validation_function>
+{{ item["validation_function"] }}
+</validation_function>
+
+All tags are closed and my assignment is finished.
+</example_{{ loop.index }}>
+
+{% endfor -%}
+That concludes the complete examples of your assignment.
+
+## Additional Instructions
+
+When writing your answer, follow these additional instructions below to be successful:
+1. The function signature must be: `def validate_input(input: str) -> bool:`
+2. The function must handle `None` and empty string inputs by returning `False`
+3. Use appropriate Python standard library modules (re, json, etc.) as needed
+4. Ensure the function is simple and doesn't have unnecessary complexity
+5. The validation logic should directly correspond to the provided constraint/requirement
+
+## Common Validation Patterns
+
+Here are some typical validation scenarios you might encounter:
+
+1. Character limit validation:
+    - Check if the answer has a specific number of characters or words
+    - Example: "The answer must be less than 100 characters"
+
+2. Format validation:
+    - Validate JSON structure, XML format, or other structured data
+    - Example: "The answer must be valid JSON with 'name' and 'age' fields"
+
+3. Content validation:
+    - Check for specific content patterns like uppercase letters, numbers, etc.
+    - Example: "The answer must contain at least one uppercase letter"
+
+4. Pattern matching:
+    - Use regex to validate specific patterns
+    - Example: "The answer must be in the format 'Name: [text], Age: [number]'"
+
+Important: Use only standard Python libraries that don't require additional installation.
+Important: Your function must be deterministic and produce consistent results.
+Important: You must always close the tags that were opened by using their corresponding close tag. You will be penalized if you don't close all tags.
+
+Very Important: After closing all tags, finish your assignment by writing (without the double quotes): "All tags are closed and my assignment is finished.".
+Very Important: Always enclose your code on a "try..except Exception:" clause and return `False` in case of exceptions.
+Very Important: If the constraint/requirement is not clear, or missing information, just return `False`.
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/user_template.jinja2 b/cli/decompose/prompt_modules/validation_code_generator/_prompt/user_template.jinja2
new file mode 100644
index 000000000..867af52e4
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/user_template.jinja2
@@ -0,0 +1,9 @@
+## Requirements:
+- The function name must be: "validate_input"
+- The function signature must be: `def validate_input(input: str) -> bool:`
+
+Now, here is the constraint/requirement for you to write a Python validation function:
+
+<constraint_requirement>
+{{ constraint_requirement }}
+</constraint_requirement>
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py b/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py
new file mode 100644
index 000000000..55949c963
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py
@@ -0,0 +1,113 @@
+import re
+from collections.abc import Callable
+from typing import Any, TypeVar, final
+
+from mellea import MelleaSession
+from mellea.backends import ModelOption
+from mellea.stdlib.components.chat import Message
+
+from .._prompt_modules import PromptModule, PromptModuleString
+from ._exceptions import BackendGenerationError, TagExtractionError
+from ._prompt import get_system_prompt, get_user_prompt
+
+T = TypeVar("T")
+
+RE_VALIDATION_FUNCTION = re.compile(
+    r"<validation_function>(.+?)</validation_function>", flags=re.IGNORECASE | re.DOTALL
+)
+
+
+@final
+class _ValidationCodeGenerator(PromptModule):
+    @staticmethod
+    def _default_parser(generated_str: str) -> str:
+        r"""Default parser of the `validation_code_generator` module.
+
+        _**Disclaimer**: This is a LLM-prompting module, so the results will vary depending
+        on the size and capabilities of the LLM used. The results are also not guaranteed, so
+        take a look at this module's Exceptions and plan for unreliable results._
+
+        Args:
+            generated_str (`str`): The LLM's answer to be parsed.
+
+        Returns:
+            str: The extracted Python validation function code.
+
+        Raises:
+            TagExtractionError: An error occurred trying to extract content from the
+                generated output. The LLM probably failed to open and close
+                the \<validation_function\> tags.
+        """
+        validation_function_match = re.search(RE_VALIDATION_FUNCTION, generated_str)
+
+        validation_function_str: str | None = (
+            validation_function_match.group(1).strip()
+            if validation_function_match
+            else None
+        )
+
+        if validation_function_str is None:
+            raise TagExtractionError(
+                'LLM failed to generate correct tags for extraction: "<validation_function>"'
+            )
+
+        return validation_function_str
+
+    def generate(
+        self,
+        mellea_session: MelleaSession,
+        input_str: str | None,
+        max_new_tokens: int = 4096,
+        parser: Callable[[str], T] = _default_parser,  # type: ignore[assignment]
+        # About the mypy ignore above: https://github.com/python/mypy/issues/3737
+        **kwargs: dict[str, Any],
+    ) -> PromptModuleString[T]:
+        """Generates a Python validation function based on a provided constraint/requirement.
+
+        Args:
+            mellea_session (`MelleaSession`): A mellea session with a backend.
+            input_str (`str`): Natural language constraint/requirement to generate validation code for.
+            prompt (`str`, optional): The original task prompt for context. Defaults to None.
+            max_new_tokens (`int`, optional): Maximum tokens to generate.
+                Defaults to `4096`.
+            parser (`Callable[[str], Any]`, optional): A string parsing function.
+                Defaults to `_ValidationCodeGenerator._default_parser`.
+
+        Returns:
+            PromptModuleString: A `PromptModuleString` class containing the generated output.
+
+            The `PromptModuleString` class behaves like a `str`, but with an additional `parse()` method
+            to execute the parsing function passed in the `parser` argument of
+            this method (the `parser` argument defaults to `_ValidationCodeGenerator._default_parser`).
+
+        Raises:
+            BackendGenerationError: Some error occurred during the LLM generation call.
+        """
+        assert input_str is not None, 'This module requires the "input_str" argument'
+
+        system_prompt = get_system_prompt()
+        user_prompt = get_user_prompt(constraint_requirement=input_str)
+
+        action = Message("user", user_prompt)
+
+        try:
+            gen_result = mellea_session.act(
+                action=action,
+                model_options={
+                    ModelOption.SYSTEM_PROMPT: system_prompt,
+                    ModelOption.TEMPERATURE: 0,
+                    ModelOption.MAX_NEW_TOKENS: max_new_tokens,
+                },
+            ).value
+        except Exception as e:
+            raise BackendGenerationError(f"LLM generation failed: {e}")
+
+        if gen_result is None:
+            raise BackendGenerationError(
+                "LLM generation failed: value attribute is None"
+            )
+
+        return PromptModuleString(gen_result, parser)
+
+
+validation_code_generator = _ValidationCodeGenerator()
diff --git a/cli/decompose/prompt_modules/validation_decision/_prompt/system_template.jinja2 b/cli/decompose/prompt_modules/validation_decision/_prompt/system_template.jinja2
index 8e5cb00fb..fc0be317c 100644
--- a/cli/decompose/prompt_modules/validation_decision/_prompt/system_template.jinja2
+++ b/cli/decompose/prompt_modules/validation_decision/_prompt/system_template.jinja2
@@ -1,14 +1,14 @@
-You are a Validation Decision Expert specialized in determining whether prompt requirements can be validated deterministically by writing Python code or if they're best suited for LLM validation.
+You are a Validation Decision Expert specialized in determining whether prompt requirements can be validated deterministically, by writing Python code, or if they're best suited for LLM validation.
 
 ## Decision Criteria
 
 ### Code Validation
 A requirement should be classified as "code" if it:
-- Can be checked with deterministic algorithms
+- Can be validated deterministically
 - Involves structured data validation (e.g., JSON schema, regex patterns)
-- Requires mathematical computations or logical operations
 - Can be validated with simple string operations
 - Has clearly defined success/failure criteria that can be programmatically determined
+- Is a straightforward requirement to validate the task output
 
 ### LLM Validation
 A requirement should be classified as "llm" if it:
@@ -59,6 +59,7 @@ When writing your answer, follow these additional instructions below to be succe
 3. After closing all tags, finish your assignment by writing (without the double quotes): "All tags are closed and my assignment is finished."
 
 Important: You must always close the tags that were opened by using their corresponding close tag. You will be penalized if you don't close all tags.
+Important: The "code" classification is usually for validating the task output format or other deterministic requirements.
 
 Your response must contain exactly one of these two words inside <validation_decision> tags:
 - code
diff --git a/cli/decompose/prompt_modules/validation_report_generator/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/__init__.py
new file mode 100644
index 000000000..cdd3dee4c
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/__init__.py
@@ -0,0 +1,7 @@
+from ._exceptions import (
+    BackendGenerationError as BackendGenerationError,
+    TagExtractionError as TagExtractionError,
+)
+from ._validation_report_generator import (
+    validation_report_generator as validation_report_generator,
+)
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py b/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py
new file mode 100644
index 000000000..4ab2b030c
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py
@@ -0,0 +1,24 @@
+from typing import Any
+
+
+class ValidationReportError(Exception):
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        self.error_message = error_message
+        self.__dict__.update(kwargs)
+        super().__init__(
+            f'Module Error "validation_report_generator"; {self.error_message}'
+        )
+
+
+class BackendGenerationError(ValidationReportError):
+    """Raised when LLM generation fails in the "validation_report_generator" prompt module."""
+
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        super().__init__(error_message, **kwargs)
+
+
+class TagExtractionError(ValidationReportError):
+    """Raised when tag extraction fails in the "validation_report_generator" prompt module."""
+
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        super().__init__(error_message, **kwargs)
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt.py
new file mode 100644
index 000000000..b324180fc
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt.py
@@ -0,0 +1,19 @@
+from pathlib import Path
+
+from jinja2 import Environment, FileSystemLoader
+
+from ._icl_examples import ICLExample, icl_examples as default_icl_examples
+
+this_file_dir = Path(__file__).resolve().parent
+
+environment = Environment(loader=FileSystemLoader(this_file_dir), autoescape=False)
+system_template = environment.get_template("system_template.jinja2")
+user_template = environment.get_template("user_template.jinja2")
+
+
+def get_system_prompt(icl_examples: list[ICLExample] = default_icl_examples) -> str:
+    return system_template.render(icl_examples=icl_examples).strip()
+
+
+def get_user_prompt(constraint_requirement: str) -> str:
+    return user_template.render(constraint_requirement=constraint_requirement).strip()
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/__init__.py
new file mode 100644
index 000000000..0b985cbe6
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/__init__.py
@@ -0,0 +1,5 @@
+from ._icl_examples import icl_examples as default_icl_examples
+from ._prompt import (
+    get_system_prompt as get_system_prompt,
+    get_user_prompt as get_user_prompt,
+)
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/__init__.py
new file mode 100644
index 000000000..052fe7c99
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/__init__.py
@@ -0,0 +1,2 @@
+from ._icl_examples import icl_examples as icl_examples
+from ._types import ICLExample as ICLExample
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/_example.py
new file mode 100644
index 000000000..afcae4eb9
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/_example.py
@@ -0,0 +1,21 @@
+from .._types import ICLExample
+
+# Example 1: Code validation case
+# This example demonstrates a requirement that can be validated deterministically.
+
+constraint_requirement = """Don't mention the word "water"."""
+
+validation_report = """{
+  "constraint_requirement": "Don't mention the word \"water\".",
+  "constraint_name": "no_water",
+  "is_valid": true,
+  "failure_cause": null,
+  "failure_trackback": null,
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/_example.py
new file mode 100644
index 000000000..8c7247190
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/_example.py
@@ -0,0 +1,21 @@
+from .._types import ICLExample
+
+# Example 2: LLM validation case
+# This example demonstrates a requirement that needs subjective evaluation.
+
+constraint_requirement = """The user interface should be intuitive and provide a seamless experience for first-time users."""
+
+validation_report = """{
+  "constraint_requirement": "The user interface should be intuitive and provide a seamless experience for first-time users.",
+  "constraint_name": "intuitive_user_experience",
+  "is_valid": true,
+  "failure_cause": null,
+  "failure_trackback": null,
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/_example.py
new file mode 100644
index 000000000..a8825bf25
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/_example.py
@@ -0,0 +1,30 @@
+from .._types import ICLExample
+
+# Example 3: Code validation case
+# This example demonstrates a requirement that involves structured data validation.
+
+constraint_requirement = """The API response must conform to the following JSON schema:
+{
+  "type": "object",
+  "properties": {
+    "id": {"type": "integer"},
+    "name": {"type": "string"},
+    "email": {"type": "string", "format": "email"}
+  },
+  "required": ["id", "name", "email"]
+}"""
+
+validation_report = """{
+  "constraint_requirement": "The API response must conform to the following JSON schema: { \\\"type\\\": \\\"object\\\", \\\"properties\\\": { \\\"id\\\": {\\\"type\\\": \\\"integer\\\"}, \\\"name\\\": {\\\"type\\\": \\\"string\\\"}, \\\"email\\\": {\\\"type\\\": \\\"string\\\", \\\"format\\\": \\\"email\\\"} }, \\\"required\\\": [\\\"id\\\", \\\"name\\\", \\\"email\\\"] }",
+  "constraint_name": "api_response_schema",
+  "is_valid": false,
+  "failure_cause": "Response is missing required property 'email'.",
+  "failure_trackback": ["Required property 'email' not found in response."],
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/_example.py
new file mode 100644
index 000000000..6352ec0e8
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/_example.py
@@ -0,0 +1,21 @@
+from .._types import ICLExample
+
+# Example 4: LLM validation case
+# This example demonstrates a requirement that involves creative evaluation.
+
+constraint_requirement = """The generated marketing copy should be compelling and persuasive, effectively communicating the product's value proposition to potential customers."""
+
+validation_report = """{
+  "constraint_requirement": "The generated marketing copy should be compelling and persuasive, effectively communicating the product's value proposition to potential customers.",
+  "constraint_name": "marketing_copy_quality",
+  "is_valid": true,
+  "failure_cause": null,
+  "failure_trackback": null,
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/_example.py
new file mode 100644
index 000000000..31920745b
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/_example.py
@@ -0,0 +1,22 @@
+from .._types import ICLExample
+
+# Example 5: LLM validation case
+# This example demonstrates a requirement that involves semantic content interpretation
+# and structural elements in test case descriptions.
+
+constraint_requirement = """Each test case should include: Test Case description, Precondition, Test Steps, and Expected Outcome"""
+
+validation_report = """{
+  "constraint_requirement": "Each test case should include: Test Case description, Precondition, Test Steps, and Expected Outcome",
+  "constraint_name": "test_case_structure",
+  "is_valid": false,
+  "failure_cause": "The 'Expected Outcome' section is missing from the test case.",
+  "failure_trackback": ["Expected Outcome section not found."],
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_icl_examples.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_icl_examples.py
new file mode 100644
index 000000000..6b3d11ca0
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_icl_examples.py
@@ -0,0 +1,10 @@
+from ._example_1 import example as example_1
+from ._example_2 import example as example_2
+from ._example_3 import example as example_3
+from ._example_4 import example as example_4
+from ._example_5 import example as example_5
+
+# Add more examples as needed
+from ._types import ICLExample
+
+icl_examples: list[ICLExample] = [example_1, example_2, example_3, example_4, example_5]
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_types.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_types.py
new file mode 100644
index 000000000..51503c3f8
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_types.py
@@ -0,0 +1,6 @@
+from typing import TypedDict
+
+
+class ICLExample(TypedDict):
+    constraint_requirement: str
+    validation_report: str
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_prompt.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_prompt.py
new file mode 100644
index 000000000..8e8fe890f
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_prompt.py
@@ -0,0 +1,19 @@
+from pathlib import Path
+
+from jinja2 import Environment, FileSystemLoader
+
+from ._icl_examples import ICLExample, icl_examples as default_icl_examples
+
+this_file_dir = Path(__file__).resolve().parent
+
+environment = Environment(loader=FileSystemLoader(this_file_dir), autoescape=False)
+system_template = environment.get_template("system_template.jinja2")
+user_template = environment.get_template("user_template.jinja2")
+
+
+def get_system_prompt(icl_examples: list[ICLExample] = default_icl_examples) -> str:
+    return system_template.render(icl_examples=icl_examples).strip()
+
+
+def get_user_prompt(requirement: str) -> str:
+    return user_template.render(requirement=requirement).strip()
diff --git a/docs/dev/hook_system.md b/docs/dev/hook_system.md
index dcaa7d5f0..546c9b94d 100644
--- a/docs/dev/hook_system.md
+++ b/docs/dev/hook_system.md
@@ -1,48 +1,22 @@
-# Mellea Plugin Hook System Design Document
+# Mellea Plugin Hook System — Internal Design Notes
 
-Mellea's hook system provides extension points for deployed generative AI applications that need policy enforcement, observability, and customization without modifying core library code. Hooks enable plugins to register and respond to events throughout the framework's execution lifecycle, from session initialization through generation, validation, and cleanup.
+> **User-facing documentation:** [Plugins & Hooks](../../docs/docs/concepts/plugins.mdx) covers usage, registration, execution modes, hook types reference, and patterns. This file retains only internal design rationale and decisions for contributors.
 
-## 1. Overview
+---
 
-### Design Principles
+## Design principles
 
-1. **Consistent Interface**: All hooks follow the same async pattern with payload and context parameters
+1. **Consistent interface**: All hooks follow the same async pattern with payload and context parameters
 2. **Composable**: Multiple plugins can register for the same hook, executing in priority order
 3. **Fail-safe**: Hook failures can be handled gracefully without breaking core execution
-4. **Minimal Intrusion**: Plugins are opt-in; default Mellea behavior remains unchanged without plugins. Plugins work identically whether invoked through a session (`m.instruct(...)`) or via the functional API (`instruct(backend, context, ...)`)
-5. **Architecturally Aligned**: Hook categories reflect Mellea's true abstraction boundaries — Session lifecycle, Component lifecycle, and the (Backend, Context) generation pipeline
-6. **Code-First**: Plugins are defined and composed in Python. The `@hook` decorator and `Plugin` base class are the primary registration mechanisms; YAML configuration is a secondary option for deployment-time overrides
-7. **Functions-First**: The simplest plugin is a plain async function decorated with `@hook`. Class-based plugins (via the `Plugin` base class) exist for stateful, multi-hook scenarios but are not required
+4. **Minimal intrusion**: Plugins are opt-in; default Mellea behavior remains unchanged without plugins. Plugins work identically whether invoked through a session (`m.instruct(...)`) or via the functional API (`instruct(backend, context, ...)`)
+5. **Architecturally aligned**: Hook categories reflect Mellea's true abstraction boundaries — Session lifecycle, Component lifecycle, and the (Backend, Context) generation pipeline
+6. **Code-first**: Plugins are defined and composed in Python. The `@hook` decorator and `Plugin` base class are the primary registration mechanisms; YAML configuration is a secondary option for deployment-time overrides
+7. **Functions-first**: The simplest plugin is a plain async function decorated with `@hook`. Class-based plugins (via the `Plugin` base class) exist for stateful, multi-hook scenarios but are not required
 
-### Hook Method Signature
+---
 
-All hooks follow this consistent async pattern:
-
-```python
-# Standalone function hook (primary)
-@hook("hook_name", mode=PluginMode.SEQUENTIAL, priority=50)
-async def my_hook(
-    payload: PluginPayload,
-    context: PluginContext
-) -> PluginResult | None
-
-# Class-based method hook
-class MyPlugin(Plugin, name="my-plugin"):
-    @hook("hook_name")
-    async def my_hook(
-        self,
-        payload: PluginPayload,
-        context: PluginContext
-    ) -> PluginResult | None
-```
-
-- **`payload`**: Immutable (frozen), strongly-typed data specific to the hook point. Plugins use `model_copy(update={...})` to propose modifications
-- **`context`**: Read-only shared context with session metadata and utilities
-- **`mode`**: `PluginMode.SEQUENTIAL` (default), `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, or `PluginMode.FIRE_AND_FORGET` — controls execution behavior (see Execution Mode below)
-- **`priority`**: Lower numbers execute first (default: 50)
-- **Returns**: A `PluginResult` with continuation flag, modified payload, and violation/explanation — or `None` to continue unchanged
-
-### Concurrency Model
+## Concurrency model
 
 Hooks use Python's `async`/`await` cooperative multitasking. Because Python's event loop only switches execution at `await` points, hook code won't be interrupted mid-logic. This means:
 
@@ -50,1070 +24,35 @@ Hooks use Python's `async`/`await` cooperative multitasking. Because Python's ev
 - **Race conditions only at `await` points**: Shared state is safe to read and write between `await` calls within a single hook. Races only arise if multiple hooks modify the same shared state and are dispatched concurrently.
 - **No preemptive interruption**: Unlike threads, a hook handler runs uninterrupted until it yields control via `await`.
 
-### Execution Mode
-
-Hooks support five execution modes, configurable per-registration via the `mode` parameter on the `@hook` decorator. Each mode defines a unique combination of two orthogonal capabilities — **blocking** (halting the pipeline) and **modifying** (changing the payload):
-
-| Mode | Can block | Can modify | Execution | Use case |
-|------|:---------:|:----------:|-----------|----------|
-| **`PluginMode.SEQUENTIAL`** (default) | Yes | Yes | Serial, chained | Policy enforcement + transformation |
-| **`PluginMode.TRANSFORM`** | No | Yes | Serial, chained | Data transformation (PII redaction, prompt rewriting) |
-| **`PluginMode.AUDIT`** | No | No | Serial | Observation, logging, metrics |
-| **`PluginMode.CONCURRENT`** | Yes | No | Parallel | Independent policy gates |
-| **`PluginMode.FIRE_AND_FORGET`** | No | No | Background | Telemetry, async side effects |
-
-Execution order: **SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET**.
-
-- **SEQUENTIAL** hooks are awaited inline, in priority order. Each receives the chained payload from prior hooks. Can halt the pipeline via `PluginResult(continue_processing=False)` and modify writable fields.
-- **TRANSFORM** hooks are awaited inline, in priority order, after all SEQUENTIAL hooks. Each receives the chained payload. Can modify writable fields but **cannot** halt the pipeline — blocking results are suppressed with a warning.
-- **AUDIT** hooks are awaited inline, in priority order, after TRANSFORM. Observe-only: payload modifications are **discarded** and violations are logged but do not block. Use for monitoring and gradual policy rollout.
-- **CONCURRENT** hooks are dispatched in parallel after AUDIT. Can halt the pipeline (fail-fast on first blocking result) but payload modifications are **discarded** to avoid non-deterministic last-writer-wins races.
-- **FIRE_AND_FORGET** hooks are dispatched via `asyncio.create_task()` after all other phases. They receive a copy-on-write snapshot of the payload. Cannot modify payloads or block execution. Any exceptions are logged but do not propagate.
-
-> **Note**: All five modes are exposed via Mellea's own `PluginMode` enum, which maps to CPEX's internal `PluginMode`. The additional `disabled` mode remains available in CPEX's enum and YAML configuration for deployment-time control, but is not exposed in Mellea's `PluginMode`. It is a deployment concern, not a definition-time concern.
-
-### Plugin Framework
-
-The hook system is backed by a lightweight plugin framework built as a Mellea dependency (not a separate user-facing package). This framework:
-
-- Provides the `@hook` decorator for registering standalone async functions as hook handlers
-- Provides the `Plugin` base class for multi-hook plugins with automatic context-manager support and metadata via `__init_subclass__` keyword arguments
-- Exposes `PluginSet` for grouping related hooks/plugins into composable, reusable units
-- Exposes `register()` for global plugin registration and `block()` as a convenience for returning blocking `PluginResult`s
-- Implements a plugin manager that loads, registers, and governs the execution of plugins
-- Enforces per-hook-type payload policies via `HookPayloadPolicy`, accepting only writable-field changes from plugins
-
-The public API surface:
-
-```python
-from mellea.plugins import Plugin, hook, block, PluginSet, register
-```
-
-### Global vs Session-Scoped Plugins
-
-Plugins can be registered at two scopes:
-
-- **Global**: Registered via `register()` at module or application startup. Global plugins fire for every hook invocation — both session-based (`m.instruct(...)`) and functional (`instruct(backend, context, ...)`).
-- **Session-scoped**: Passed via the `plugins` parameter to `start_session()`. Session-scoped plugins fire only for hook invocations within that session.
-
-Both scopes coexist. When a hook fires within a session, both global plugins and that session's plugins execute, ordered by priority. When a hook fires via the functional API outside a session, only global plugins execute.
-
-**Implementation**: A single `PluginManager` instance manages all plugins. Plugins are tagged with an optional `session_id`. At dispatch time, the manager filters: global plugins (no session tag) always run; session-tagged plugins run only when the dispatch context matches their session ID.
-
-**Functional API support**: The functional API (`instruct(backend, context, ...)`) does not require a session. Hooks still fire at the same execution points. If global plugins are registered, they execute. If no plugins are registered, hooks are no-ops with zero overhead.
-
-### With-Block-Scoped Context Managers
-
-In addition to global and session-scoped registration, plugins can be activated for a specific block of code using the context manager protocol. Plugins are registered on entry and deregistered on exit, even if the block raises an exception.
-
-This is useful for:
-- Feature flags: enable a plugin only during a specific operation
-- Testing: activate a mock or spy plugin around a single call
-- Middleware injection: wrap a third-party call with additional hooks without polluting global state
-- Composing scopes: stack independent scopes that each clean up after themselves
+---
 
-Three equivalent forms are supported:
-
-**1. `plugin_scope(*items)` factory**
-
-Accepts standalone `@hook` functions, `Plugin` subclass instances, `PluginSet`s, or any mix:
-
-```python
-from mellea.plugins import plugin_scope
-
-with plugin_scope(log_request, log_response):
-    result = m.instruct("Name the planets.")
-# log_request and log_response are deregistered here
-
-with plugin_scope(pii_redactor, observability_set, enforce_budget):
-    result = m.instruct("Summarize the customer record.")
-```
-
-**2. `Plugin` subclass instance as context manager**
-
-Any instance of a `Plugin` subclass can be entered directly as a context manager:
-
-```python
-guard = ContentGuard()  # ContentGuard inherits from Plugin
-with guard:
-    result = m.instruct("What is the boiling point of water?")
-# ContentGuard hooks are deregistered here
-```
-
-**3. `PluginSet` as context manager**
-
-A `PluginSet` can be entered directly, activating all of its contained hooks and plugins:
-
-```python
-with observability:  # observability is a PluginSet
-    result = m.instruct("What is the capital of France?")
-# All observability hooks are deregistered here
-```
-
-**Async variants**
-
-All three forms also support `async with` for use in async code:
-
-```python
-async with plugin_scope(log_request, ContentGuard()):
-    result = await m.ainstruct("Describe the solar system.")
-
-async with observability:
-    result = await m.ainstruct("What is the capital of France?")
-```
-
-**Nesting and mixing**
-
-Scopes stack cleanly, i.e., each exit deregisters only its own plugins. Nesting is independent of form:
-
-```python
-with plugin_scope(log_request):          # outer scope
-    with ContentGuard() as guard:        # inner scope: Plugin subclass instance
-        result = m.instruct("...")       # log_request + ContentGuard active
-    result = m.instruct("...")           # only log_request active
-# no plugins active
-```
-
-**Cleanup guarantee**
-
-Plugins are always deregistered on scope exit, even if the block raises an exception. There is no resource leak on error.
-
-**Re-entrant restriction**
-
-The same instance cannot be active in two overlapping scopes simultaneously. Attempting to re-enter an already-active instance raises `RuntimeError`. To run the same plugin logic in parallel or in nested scopes, create separate instances:
-
-```python
-guard1 = ContentGuard()
-guard2 = ContentGuard()  # separate instance
-
-with guard1:
-    with guard2:  # OK — different instances
-        ...
-
-with guard1:
-    with guard1:  # RuntimeError — same instance already active
-        ...
-```
-
-**Implementation note**: With-block scopes use the same `session_id` tagging mechanism as session-scoped plugins. Each `with` block gets a unique UUID scope ID; the plugin manager filters plugins by scope ID at dispatch time and deregisters them by scope ID on exit. This means with-block plugins coexist with global and session-scoped plugins: all three layers execute together, ordered by priority.
-
-### Hook Invocation Responsibilities
+## Hook invocation responsibilities
 
 Hooks are called from Mellea's base classes (`Component.aact()`, `Backend.generate()`, `SamplingStrategy.run()`, etc.). This means hook invocation is a framework-level concern, and authors of new backends, sampling strategies, or components do not need to manually insert hook calls.
 
-The calling convention is a single async call at each hook site:
-
-```python
-result = await invoke_hook(hook_type, payload, backend=backend)
-```
-
 The caller (the base class method) is responsible for both invoking the hook and processing the result. Processing means checking the result for one of three possible outcomes:
 
-1. **Continue with original payload**: — `PluginResult(continue_processing=True)` with no `modified_payload`. The caller proceeds unchanged.
-2. **Continue with modified payload**: — `PluginResult(continue_processing=True, modified_payload=...)`. The plugin manager applies the hook's payload policy, accepting only changes to writable fields and discarding unauthorized modifications. The caller uses the policy-filtered payload in place of the original.
+1. **Continue with original payload** — `PluginResult(continue_processing=True)` with no `modified_payload`. The caller proceeds unchanged.
+2. **Continue with modified payload** — `PluginResult(continue_processing=True, modified_payload=...)`. The plugin manager applies the hook's payload policy, accepting only changes to writable fields and discarding unauthorized modifications. The caller uses the policy-filtered payload in place of the original.
 3. **Block execution** — `PluginResult(continue_processing=False, violation=...)`. The caller raises or returns early with structured error information.
 
 Hooks cannot redirect control flow, jump to arbitrary code, or alter the calling method's logic beyond these outcomes. This is enforced by the `PluginResult` type.
 
-### Payload Design Principles
+---
 
-Hook payloads follow six design principles:
+## Payload design principles
 
 1. **Strongly typed** — Each hook has a dedicated payload dataclass (not a generic dict). This enables IDE autocompletion, static analysis, and clear documentation of what each hook receives.
 2. **Sufficient (maximize-at-boundary)** — Each payload includes everything available at that point in time. Post-hooks include the pre-hook fields plus results. This avoids forcing plugins to maintain their own state across pre/post pairs.
 3. **Frozen (immutable)** — Payloads are frozen Pydantic models (`model_config = ConfigDict(frozen=True)`). Plugins cannot mutate payload attributes in place. To propose changes, plugins must call `payload.model_copy(update={...})` and return the copy via `PluginResult.modified_payload`. This ensures every modification is explicit and flows through the policy system.
-4. **Policy-controlled** — Each hook type declares a `HookPayloadPolicy` specifying which fields are writable. The plugin manager applies the policy after each plugin returns, accepting only changes to writable fields and silently discarding unauthorized modifications. This separates "what the plugin can observe" from "what the plugin can change" — and enforces it at the framework level. See [Hook Payload Policies](#hook-payload-policies) for the full policy table.
+4. **Policy-controlled** — Each hook type declares a `HookPayloadPolicy` specifying which fields are writable. The plugin manager applies the policy after each plugin returns, accepting only changes to writable fields and silently discarding unauthorized modifications. This separates "what the plugin can observe" from "what the plugin can change" — and enforces it at the framework level.
 5. **Serializable** — Payloads should be serializable for external (MCP-based) plugins that run out-of-process. All payload fields use types that can round-trip through JSON or similar formats.
 6. **Versioned** — Payload schemas carry a `payload_version` so plugins can detect incompatible changes at registration time rather than at runtime.
 7. **Isolation** — Each plugin receives a copy-on-write (CoW) snapshot of the payload. Mutable containers (dicts, lists) are wrapped so mutations in one plugin do not affect others. Plugins should not cache payloads beyond the hook invocation — payload fields reference live framework objects (`Context`, `Component`, `MelleaSession`) whose lifecycle is managed by the framework.
 
-## 2. Common Payload Fields
-
-All hook payloads inherit these base fields:
-
-```python
-class BasePayload(PluginPayload):
-    """Frozen base — all payloads are immutable by design."""
-    model_config = ConfigDict(frozen=True, arbitrary_types_allowed=True)
-
-    session_id: str | None = None      # Session identifier (None for functional API calls)
-    request_id: str = ""               # Reserved for future use (e.g., request tracing)
-    timestamp: datetime                # When the event fired
-    hook: str                          # Name of the hook (e.g., "generation_pre_call")
-    user_metadata: dict[str, Any]      # Custom metadata carried by user code
-```
-
-> **Note on `session_id` and `request_id`**: These fields exist on the base payload schema but are **not** automatically stamped by the framework at dispatch time. `session_id` is available when the caller sets it on the payload directly. `request_id` is reserved for future request-tracing support.
-
-## 3. Hook Summary Table
-
-| Priority | Hook Point | Category | Domain | Status | Description |
-|:--:|------------|----------|--------|:--------:|-------------|
-|3| `session_pre_init` | Session Lifecycle | Session | ✔️ | Before session initialization |
-|3| `session_post_init` | Session Lifecycle | Session | ✔️ | After session is fully initialized |
-|3| `session_reset` | Session Lifecycle | Session | ✔️ | When session context is reset |
-|3| `session_cleanup` | Session Lifecycle | Session | ✔️ | Before session cleanup/teardown |
-|7| `component_pre_create` | Component Lifecycle | Component / (Backend, Context) |  | Before component creation |
-|7| `component_post_create` | Component Lifecycle | Component / (Backend, Context) |  | After component created, before execution |
-|7| `component_pre_execute` | Component Lifecycle | Component / (Backend, Context) | ✔️ | Before component execution via `aact()` |
-|7| `component_post_success` | Component Lifecycle | Component / (Backend, Context) | ✔️ | After successful component execution |
-|7| `component_post_error` | Component Lifecycle | Component / (Backend, Context) | ✔️ | After component execution fails |
-|1| `generation_pre_call` | Generation Pipeline | (Backend, Context) | ✔️ | Before LLM backend call |
-|1| `generation_post_call` | Generation Pipeline | (Backend, Context) | ✔️ | After LLM response received |
-|1| `generation_stream_chunk` | Generation Pipeline | (Backend, Context) |  | For each streaming chunk |
-|1| `validation_pre_check` | Validation | (Backend, Context) | ✔️ | Before requirement validation |
-|1| `validation_post_check` | Validation | (Backend, Context) | ✔️ | After validation completes |
-|3| `sampling_loop_start` | Sampling Pipeline | (Backend, Context) | ✔️ | When sampling strategy begins |
-|3| `sampling_iteration` | Sampling Pipeline | (Backend, Context) | ✔️ | After each sampling attempt |
-|3| `sampling_repair` | Sampling Pipeline | (Backend, Context) | ✔️ | When repair is invoked |
-|3| `sampling_loop_end` | Sampling Pipeline | (Backend, Context) | ✔️ | When sampling completes |
-|1| `tool_pre_invoke` | Tool Execution | (Backend, Context) | ✔️ | Before tool/function invocation |
-|1| `tool_post_invoke` | Tool Execution | (Backend, Context) | ✔️ | After tool execution |
-|5| `adapter_pre_load` | Backend Adapter Ops | Backend |  | Before `backend.load_adapter()` |
-|5| `adapter_post_load` | Backend Adapter Ops | Backend |  | After adapter loaded |
-|5| `adapter_pre_unload` | Backend Adapter Ops | Backend |  | Before `backend.unload_adapter()` |
-|5| `adapter_post_unload` | Backend Adapter Ops | Backend |  | After adapter unloaded |
-|7| `context_update` | Context Operations | Context |  | When context changes |
-|7| `context_prune` | Context Operations | Context |  | When context is trimmed |
-|7| `error_occurred` | Error Handling | Cross-cutting |  | When an unrecoverable error occurs |
-
-## 3b. Hook Payload Policies
-
-Payload mutability is enforced at **two layers**:
-
-1. **Execution mode** (cpex layer) — only `SEQUENTIAL` and `TRANSFORM` plugins can modify payloads. `AUDIT`, `CONCURRENT`, and `FIRE_AND_FORGET` plugins have their modifications silently discarded by cpex regardless of what the policy table says.
-
-2. **Field-level policy** (Mellea layer) — for modes that *can* modify, each hook type declares a `HookPayloadPolicy` specifying which fields are writable. The plugin manager applies the policy after each plugin returns: only changes to writable fields are accepted; all other modifications are silently discarded.
-
-Hooks not listed in the policy table are **observe-only** — with `DefaultHookPolicy.DENY` (the Mellea default), any modification attempt on an unlisted hook is rejected at runtime.
-
-### Policy Types
-
-```python
-from dataclasses import dataclass
-from enum import Enum
-
-class DefaultHookPolicy(str, Enum):
-    """Controls behavior for hooks without an explicit policy."""
-    ALLOW = "allow"   # Accept all modifications (backwards-compatible)
-    DENY = "deny"     # Reject all modifications (strict mode, default for Mellea)
-
-@dataclass(frozen=True)
-class HookPayloadPolicy:
-    """Defines which payload fields plugins may modify."""
-    writable_fields: frozenset[str]
-```
-
-### Policy Enforcement
-
-When a plugin returns `PluginResult(modified_payload=...)`, the plugin manager applies `apply_policy()`:
-
-```python
-def apply_policy(
-    original: BaseModel,
-    modified: BaseModel,
-    policy: HookPayloadPolicy,
-) -> BaseModel | None:
-    """Accept only changes to writable fields; discard all others.
-
-    Returns an updated payload via model_copy(update=...), or None
-    if the plugin made no effective (allowed) changes.
-    """
-    updates: dict[str, Any] = {}
-    for field in policy.writable_fields:
-        old_val = getattr(original, field, _SENTINEL)
-        new_val = getattr(modified, field, _SENTINEL)
-        if new_val is not _SENTINEL and new_val != old_val:
-            updates[field] = new_val
-    return original.model_copy(update=updates) if updates else None
-```
-
-### Policy Table
-
-| Hook Point | Writable Fields |
-|------------|----------------|
-| **Session Lifecycle** | |
-| `session_pre_init` | `model_id`, `model_options` |
-| `session_post_init` | *(observe-only)* |
-| `session_reset` | *(observe-only)* |
-| `session_cleanup` | *(observe-only)* |
-| **Component Lifecycle** | |
-| `component_pre_create` | `description`, `images`, `requirements`, `icl_examples`, `grounding_context`, `user_variables`, `prefix`, `template_id` |
-| `component_post_create` | `component` |
-| `component_pre_execute` | `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled` |
-| `component_post_success` | *(observe-only)* |
-| `component_post_error` | *(observe-only)* |
-| **Generation Pipeline** | |
-| `generation_pre_call` | `model_options`, `format`, `tool_calls` |
-| `generation_post_call` | *(observe-only)* |
-| `generation_stream_chunk` | `chunk`, `accumulated` |
-| **Validation** | |
-| `validation_pre_check` | `requirements`, `model_options` |
-| `validation_post_check` | `results`, `all_validations_passed` |
-| **Sampling Pipeline** | |
-| `sampling_loop_start` | `loop_budget` |
-| `sampling_iteration` | *(observe-only)* |
-| `sampling_repair` | *(observe-only)* |
-| `sampling_loop_end` | *(observe-only)* |
-| **Tool Execution** | |
-| `tool_pre_invoke` | `model_tool_call` |
-| `tool_post_invoke` | `tool_output` |
-| **Backend Adapter Ops** | |
-| `adapter_pre_load` | *(observe-only)* |
-| `adapter_post_load` | *(observe-only)* |
-| `adapter_pre_unload` | *(observe-only)* |
-| `adapter_post_unload` | *(observe-only)* |
-| **Context Operations** | |
-| `context_update` | *(observe-only)* |
-| `context_prune` | *(observe-only)* |
-| **Error Handling**| |
-| `error_occurred` | *(observe-only)* |
-
-### Default Policy
-
-Mellea uses `DefaultHookPolicy.DENY` as the default for hooks without an explicit policy. This means:
-
-- **Hooks with an explicit policy**: Only writable fields are accepted; other changes are discarded.
-- **Hooks without a policy** (observe-only): All modifications are rejected with a warning log.
-- **Custom hooks**: Custom hooks registered by users default to `DENY`. To allow modifications, pass a `HookPayloadPolicy` when registering the custom hook type.
-
-### Modification Pattern
-
-Because payloads are frozen, plugins must use `model_copy(update={...})` to create a modified copy:
-
-```python
-@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_budget(payload, ctx):
-    if (_estimate_tokens(payload) or 0) > 4000:
-        return block("Token budget exceeded")
-
-    # Modify a writable field — use model_copy, not direct assignment
-    modified = payload.model_copy(update={"model_options": {**payload.model_options, "max_tokens": 4000}})
-    return PluginResult(continue_processing=True, modified_payload=modified)
-```
-
-Attempting to set attributes directly (e.g., `payload.model_options = {...}`) raises a `FrozenModelError`.
-
-### Chaining
-
-When multiple plugins modify the same hook's payload, modifications are chained:
-
-1. Plugin A receives the original payload, returns a modified copy.
-2. The policy filters Plugin A's changes to writable fields only.
-3. Plugin B receives the policy-filtered result from Plugin A.
-4. The policy filters Plugin B's changes.
-5. The final policy-filtered payload is returned to the caller.
-
-This ensures each plugin sees the cumulative effect of prior plugins, and all modifications pass through the policy filter.
-
-## 4. Hook Definitions
-
-### A. Session Lifecycle Hooks
-
-Hooks that manage session boundaries, useful for initialization, state setup, and resource cleanup.
-
-#### `session_pre_init`
-
-- **Trigger**: Called immediately when `mellea.start_session()` is invoked, before backend initialization.
-- **Use Cases**:
-  - Loading user-specific policies
-  - Validating backend/model combinations
-  - Enforcing model usage policies
-- **Payload**:
-  ```python
-  class SessionPreInitPayload(BasePayload):
-      backend_name: str              # Requested backend identifier
-      model_id: str | ModelIdentifier  # Target model
-      model_options: dict | None     # Generation parameters
-      context_type: type[Context]    # Context class to use
-  ```
-- **Context**:
-  - `environment`: dict - Environment variables snapshot
-  - `cwd`: str - Current working directory
-
-
-#### `session_post_init`
-
-- **Trigger**: Called after session is fully initialized, before any operations.
-- **Use Cases**:
-  - Initializing plugin-specific session state
-  - Setting up telemetry/observability
-  - Registering session-scoped resources
-  - Remote logging setup
-- **Payload**:
-  ```python
-  class SessionPostInitPayload(BasePayload):
-      session: MelleaSession         # Fully initialized session (observe-only)
-  ```
-- **Context**:
-  - `backend_name`: str - Backend identifier
-
-
-#### `session_reset`
-
-- **Trigger**: Called when `session.reset()` is invoked to clear context.
-- **Use Cases**:
-  - Resetting plugin state
-  - Logging context transitions
-  - Preserving audit trails before reset
-- **Payload**:
-  ```python
-  class SessionResetPayload(BasePayload):
-      previous_context: Context      # Context about to be discarded (observe-only)
-  ```
-- **Context**:
-  - `backend_name`: str - Backend identifier
-
-
-#### `session_cleanup`
-
-- **Trigger**: Called when `session.close()`, `cleanup()`, or context manager exit occurs.
-- **Use Cases**:
-  - Flushing telemetry buffers
-  - Persisting audit trails
-  - Aggregating session metrics
-  - Cleaning up temporary resources
-- **Payload**:
-  ```python
-  class SessionCleanupPayload(BasePayload):
-      context: Context               # Context at cleanup time (observe-only)
-      interaction_count: int         # Number of items in context at cleanup
-  ```
-- **Context**:
-  - `backend_name`: str - Backend identifier
-
-
-### B. Component Lifecycle Hooks
-
-Hooks around Component creation and execution. All Mellea primitives — Instruction, Message, Query, Transform, GenerativeSlot — are Components. These hooks cover the full Component lifecycle; there are no separate hooks per component type.
-
-All component payloads include a `component_type: str` field (e.g., `"Instruction"`, `"Message"`, `"GenerativeSlot"`, `"Query"`, `"Transform"`) so plugins can filter by type. For example, a plugin targeting only generative slots would check `component_type == "GenerativeSlot"`.
-
-Not all `ComponentPreCreatePayload` fields are populated for every component type. The table below shows which fields are available per type (`✓` = populated, `—` = `None` or empty):
-
-| Field | Instruction | Message | Query | Transform | GenerativeSlot |
-|-------|:-----------:|:-------:|:-----:|:---------:|:--------------:|
-| `description` | ✓ | ✓ | ✓ | ✓ | ✓ |
-| `images` | ✓ | ✓ | — | — | ✓ |
-| `requirements` | ✓ | — | — | — | ✓ |
-| `icl_examples` | ✓ | — | — | — | ✓ |
-| `grounding_context` | ✓ | — | — | — | ✓ |
-| `user_variables` | ✓ | — | — | — | ✓ |
-| `prefix` | ✓ | — | — | — | ✓ |
-| `template_id` | ✓ | — | — | — | ✓ |
-
-Plugins should check for `None`/empty values rather than assuming all fields are present for all component types.
-
-
-#### `component_pre_create`
-
-> **Implementation deferred.** `component_pre_create` and `component_post_create` are not implemented in this iteration of the hook system. See the discussion note below.
-
-- **Trigger**: Called inside `Component.__init__` (specifically `Instruction.__init__` and `Message.__init__`), before attributes are assigned. Fires for every component created, regardless of the code path — whether via `instruct()`/`chat()`, `ainstruct()`/`achat()`, or direct construction (e.g. `Instruction(...)`).
-- **Use Cases**:
-  - PII redaction on user input
-  - Prompt injection detection
-  - Input validation and sanitization
-  - Injecting mandatory requirements
-  - Enforcing content policies
-- **Payload**:
-  ```python
-  class ComponentPreCreatePayload(BasePayload):
-      component_type: str                        # "Instruction", "GenerativeSlot", etc.
-      description: str                           # Main instruction text
-      images: list[ImageBlock] | None            # Attached images
-      requirements: list[Requirement | str]      # Validation requirements
-      icl_examples: list[str | CBlock]           # In-context learning examples
-      grounding_context: dict[str, str]          # Grounding variables
-      user_variables: dict[str, str] | None      # Template variables
-      prefix: str | CBlock | None                # Output prefix
-      template_id: str | None                    # Identifier of prompt template
-  ```
-- **Context**: `backend` and `context` are not available at this hook point (`None`). The hook fires from `__init__`, where no backend or execution context exists yet.
-
-
-#### `component_post_create`
-
-> **Implementation deferred.** See the discussion note below.
-
-- **Trigger**: Called at the end of `Component.__init__` (specifically `Instruction.__init__` and `Message.__init__`), after all attributes are set. Fires for every component created, regardless of the code path. Note: because this hook fires inside `__init__`, the component **cannot be replaced** — plugins may only mutate the component's attributes in-place.
-- **Use Cases**:
-  - Appending system prompts
-  - Context stuffing (RAG injection)
-  - Logging component patterns
-  - Validating final component structure
-- **Payload**:
-  ```python
-  class ComponentPostCreatePayload(BasePayload):
-      component_type: str            # "Instruction", "GenerativeSlot", etc.
-      component: Component           # The created component
-  ```
-- **Context**: `backend` and `context` are not available at this hook point (`None`). See `component_pre_create` note above.
-
-> **Discussion — why these hooks are deferred:**
->
-> `Component` is currently a `Protocol`, not an abstract base class. This means Mellea has no ownership over component initialization: there are no guarantees about when or how subclass `__init__` methods run, and there is no single interception point that covers all `Component` implementations.
->
-> Placing hook calls inside `Instruction.__init__` and `Message.__init__` works for those specific classes, but it is fragile (any user-defined `Component` subclass is invisible to the hooks) and architecturally wrong (the hook system should not need to be threaded manually into every `__init__`).
->
-> If `Component` were refactored to an abstract base class, Mellea could wrap `__init__` at the ABC level and fire `component_pre_create` / `component_post_create` generically for all subclasses, without per-class boilerplate.
->
-> Until that refactoring is decided and implemented, these two hook types are intentionally excluded from the active hook system. Use `component_pre_execute` for pre-execution policy enforcement, as it fires just before generation and covers the same high-value interception scenarios.
-
-
-#### `component_pre_execute`
-
-- **Trigger**: Before any component is executed via `aact()`.
-- **Use Cases**:
-  - Policy enforcement on generation requests
-  - Injecting/modifying model options
-  - Routing to different strategies
-  - Authorization checks
-  - Logging execution patterns
-- **Payload**:
-  ```python
-  class ComponentPreExecutePayload(BasePayload):
-      component_type: str            # "Instruction", "GenerativeSlot", etc.
-      action: Component | CBlock     # The component to execute
-      context_view: list[Component | CBlock] | None  # Linearized context
-      requirements: list[Requirement]  # Attached requirements (writable)
-      model_options: dict            # Generation parameters (writable)
-      format: type | None            # Structured output format (writable)
-      strategy: SamplingStrategy | None  # Sampling strategy (writable)
-      tool_calls_enabled: bool       # Whether tools are available (writable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-
-
-#### `component_post_success`
-
-- **Trigger**: After component execution completes successfully.
-- **Use Cases**:
-  - Logging generation results
-  - Output validation (hallucination check)
-  - PII scrubbing from response
-  - Applying output transformations
-  - Audit logging
-  - Collecting metrics
-- **Payload**:
-  ```python
-  class ComponentPostSuccessPayload(BasePayload):
-      component_type: str            # "Instruction", "GenerativeSlot", etc.
-      action: Component | CBlock     # Executed component      result: ModelOutputThunk       # Generation result (strong reference)
-      context_before: Context        # Context before execution      context_after: Context         # Context after execution      generate_log: GenerateLog      # Detailed execution log (strong reference)
-      sampling_results: list[SamplingResult] | None  # If sampling was used (strong reference)
-      latency_ms: int                # Execution time
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `token_usage`: dict | None
-  - `original_input`: dict - Input that triggered generation
-
-> **Design Decision: Separate Success/Error Hooks**
->
-> `component_post_success` and `component_post_error` are separate hooks rather than a single `component_post` with a sum type over success/failure. The reasons are:
->
-> 1. **Registration granularity** — Plugins subscribe to only what they need. An audit logger may only care about errors; a metrics collector may only care about successes.
-> 2. **Distinct payload shapes** — Success payloads carry `result`, `generate_log`, and `sampling_results`; error payloads carry `exception`, `error_type`, and `stack_trace`. A sum type would force nullable fields or tagged unions, adding complexity for every consumer.
-> 3. **Different execution modes** — Error hooks may be fire-and-forget (for alerting); success hooks may be blocking (for output transformation). Separate hooks allow per-hook execution timing configuration.
-
-
-#### `component_post_error`
-
-- **Trigger**: When component execution fails with an exception.
-- **Use Cases**:
-  - Error logging and alerting
-  - Custom error recovery
-  - Retry logic
-  - Graceful degradation
-- **Payload**:
-  ```python
-  class ComponentPostErrorPayload(BasePayload):
-      component_type: str            # "Instruction", "GenerativeSlot", etc.
-      action: Component | CBlock     # Component that failed      error: Exception               # The exception raised (strong reference)
-      error_type: str                # Exception class name
-      stack_trace: str               # Full stack trace
-      context: Context               # Context at time of error      model_options: dict            # Options used
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `recoverable`: bool - Can execution continue
-
-
-### C. Generation Pipeline Hooks
-
-Low-level hooks between the component abstraction and raw LLM API calls. These operate on the (Backend, Context) tuple — they do not require a session.
-
-> **Context Modification Sequencing**
->
-> `action`, `context`, and `context_view` are observe-only on `component_pre_execute` — plugins cannot modify them. `component_pre_execute` is the interception point for adjusting `requirements`, `model_options`, `format`, `strategy`, and `tool_calls_enabled` before generation begins.
-
-
-#### `generation_pre_call`
-
-- **Trigger**: Just before the backend transmits data to the LLM API.
-- **Use Cases**:
-  - Tool selection filtering and requirements
-  - Prompt injection detection
-  - Content filtering
-  - Token budget enforcement
-  - Cost estimation
-  - Prompt caching/deduplication
-  - Rate limiting
-  - Last-mile formatting
-- **Payload**:
-  ```python
-  class GenerationPreCallPayload(BasePayload):
-      action: Component | CBlock           # Source action      context: Context                     # Current context      model_options: dict[str, Any]        # Generation parameters (writable)
-      format: type | None                  # Structured output format (writable)
-      tool_calls: bool                     # Whether tool calling is enabled (writable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `backend_name`: str
-  - `model_id`: str
-  - `provider`: str - Provider name (e.g., "ibm/granite")
-
-- **Notes**:
-  - Field `formatted_prompt: str | list[dict] # Final prompt to send` not implemented
-
-#### `generation_post_call`
-
-- **Trigger**: For lazy `ModelOutputThunk` objects (the normal path), fires inside `ModelOutputThunk.astream` after `post_process` completes — at the point where `model_output.value` is fully materialized. For already-computed thunks (e.g. cached responses), fires inline before `generate_from_context` returns. `latency_ms` is measured from the `generate_from_context` call to value availability in both cases.
-- **Use Cases**:
-  - Output filtering/sanitization
-  - PII detection and redaction
-  - Response caching
-  - Quality metrics collection
-  - Hallucination detection
-  - Raw trace logging
-  - Error interception (API limits/retries)
-- **Payload**:
-  ```python
-  class GenerationPostCallPayload(BasePayload):
-      prompt: str | list[dict]       # Sent prompt (from linearization)
-      model_output: ModelOutputThunk # Fully computed output thunk
-      latency_ms: float              # Elapsed ms from generate_from_context call to value availability
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `backend_name`: str
-  - `model_id`: str
-  - `status_code`: int | None - HTTP status from provider
-  - `stream_chunks`: int | None - Number of chunks if streaming
-- **Notes**:
-  - On the lazy path (normal), `model_output.value` is guaranteed to be available when this hook fires.
-  - Replacing `model_output` is supported on both paths. On the lazy path, the original MOT's output fields are updated in-place via `_copy_from`.
-  - On the already-computed path (e.g. cached responses), the returned MOT object itself is replaced.
-
-#### `generation_stream_chunk`
-
-- **Trigger**: For each streaming chunk received from the LLM.
-- **Use Cases**:
-  - Real-time content filtering
-  - Progressive output display
-  - Early termination on policy violation
-  - Streaming analytics
-- **Payload**:
-  ```python
-  class GenerationStreamChunkPayload(BasePayload):
-      chunk: str                     # Current chunk text
-      accumulated: str               # All text so far
-      chunk_index: int               # Chunk sequence number
-      is_final: bool                 # Is this the last chunk
-  ```
-- **Context**:
-  - `thunk_id`: str
-  - `backend`: Backend
-  - `context`: Context
-  - `backend_name`: str
-  - `model_id`: str
-
-
-### D. Validation Hooks
-
-Hooks around requirement verification and output validation. These operate on the (Backend, Context) tuple.
-
-
-#### `validation_pre_check`
-
-- **Trigger**: Before running validation/requirements check.
-- **Use Cases**:
-  - Injecting additional requirements
-  - Filtering requirements based on context
-  - Overriding validation strategy
-  - Custom validation logic
-- **Payload**:
-  ```python
-  class ValidationPreCheckPayload(BasePayload):
-      requirements: list[Requirement]  # Requirements to check (writable)
-      target: CBlock | None            # Target to validate      context: Context                 # Current context      model_options: dict              # Options for LLM-as-judge (writable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `validation_type`: str - "python" | "llm_as_judge"
-
-
-#### `validation_post_check`
-
-- **Trigger**: After all validations complete.
-- **Use Cases**:
-  - Logging validation outcomes
-  - Triggering alerts on failures
-  - Collecting requirement effectiveness metrics
-  - Overriding validation results
-  - Monitoring sampling attempts
-- **Payload**:
-  ```python
-  class ValidationPostCheckPayload(BasePayload):
-      requirements: list[Requirement]
-      results: list[ValidationResult]
-      all_validations_passed: bool
-      passed_count: int
-      failed_count: int
-      generate_logs: list[GenerateLog | None]  # Logs from LLM-as-judge
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `validation_duration_ms`: int
-
-
-### E. Sampling & Repair Hooks
-
-Hooks around sampling strategies and failure recovery. These operate on the (Backend, Context) tuple — sampling strategies take explicit `(action, context, backend)` arguments and do not require a session.
-
-
-#### `sampling_loop_start`
-
-- **Trigger**: When a sampling strategy begins execution.
-- **Use Cases**:
-  - Logging sampling attempts
-  - Adjusting loop budget dynamically
-  - Initializing sampling-specific state
-- **Payload**:
-  ```python
-  class SamplingLoopStartPayload(BasePayload):
-      strategy_name: str             # Strategy class name
-      action: Component              # Initial action      context: Context               # Initial context      requirements: list[Requirement]  # All requirements
-      loop_budget: int               # Maximum iterations (writable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `strategy_name`: str
-  - `strategy_config`: dict
-
-
-#### `sampling_iteration`
-
-- **Trigger**: After each sampling attempt, including validation results.
-- **Use Cases**:
-  - Iteration-level metrics
-  - Early termination decisions
-  - Debug sampling behavior
-  - Adaptive strategy adjustment
-- **Payload**:
-  ```python
-  class SamplingIterationPayload(BasePayload):
-      iteration: int                 # 1-based iteration number
-      action: Component              # Action used this iteration      result: ModelOutputThunk       # Generation result (strong reference)
-      validation_results: list[tuple[Requirement, ValidationResult]]
-      all_validations_passed: bool   # Did all requirements pass
-      valid_count: int
-      total_count: int
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `strategy_name`: str
-  - `remaining_budget`: int
-  - `elapsed_ms`: int
-
-
-#### `sampling_repair`
-
-- **Trigger**: When a repair strategy is invoked after validation failure. Behavior varies by sampling strategy.
-- **Strategy-Specific Behavior**:
-  - **RejectionSamplingStrategy**: Identity retry — same action, original context. No actual repair; simply regenerates. (`repair_type: "identity"`)
-  - **RepairTemplateStrategy**: Appends failure descriptions via `copy_and_repair()`, producing a modified context that includes what went wrong. (`repair_type: "template_repair"`)
-  - **MultiTurnStrategy**: Adds a Message describing failures to the conversation context, treating repair as a new conversational turn. (`repair_type: "multi_turn_message"`)
-  - **SOFAISamplingStrategy**: Two-solver approach with targeted feedback between attempts. (`repair_type: "sofai_feedback"`)
-- **Use Cases**:
-  - Logging repair patterns
-  - Injecting custom repair strategies
-  - Analyzing failure modes
-  - Adjusting repair approach
-- **Payload**:
-  ```python
-  class SamplingRepairPayload(BasePayload):
-      repair_type: str               # "identity" | "template_repair" | "multi_turn_message" | "sofai_feedback" | "custom"
-      failed_action: Component       # Action that failed      failed_result: ModelOutputThunk  # Failed output (strong reference)
-      failed_validations: list[tuple[Requirement, ValidationResult]]
-      repair_action: Component       # New action for retry
-      repair_context: Context        # Context for retry
-      repair_iteration: int          # 1-based iteration at which repair was triggered
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `strategy_name`: str
-  - `past_failures`: list[str]
-
-
-#### `sampling_loop_end`
-
-- **Trigger**: When sampling completes (success or failure).
-- **Use Cases**:
-  - Sampling effectiveness metrics
-  - Failure analysis
-  - Cost tracking
-  - Selecting best failed attempt
-- **Payload**:
-  ```python
-  class SamplingLoopEndPayload(BasePayload):
-      success: bool                  # Did sampling succeed
-      iterations_used: int           # Total iterations performed
-      final_result: ModelOutputThunk | None  # Best result (strong reference)
-      final_action: Component | None         # Component that produced final_result      final_context: Context | None          # Context for final_result      failure_reason: str | None     # If failed, why
-      all_results: list[ModelOutputThunk]    # All iteration results (strong references)
-      all_validations: list[list[tuple[Requirement, ValidationResult]]]
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `strategy_name`: str
-  - `total_duration_ms`: int
-  - `tokens_used`: int | None
-
-
-### F. Tool Calling Hooks
-
-Hooks around tool/function execution. These operate on the (Backend, Context) tuple.
-
-
-#### `tool_pre_invoke`
-
-- **Trigger**: Before invoking a tool/function from LLM output.
-- **Use Cases**:
-  - Tool authorization
-  - Argument validation/sanitization
-  - Tool routing/redirection
-  - Rate limiting per tool
-- **Payload**:
-  ```python
-  class ToolPreInvokePayload(BasePayload):
-      model_tool_call: ModelToolCall # Raw model output (contains name, args, callable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `available_tools`: list[str]
-  - `invocation_source`: str - "transform" | "action" | etc.
-
-
-#### `tool_post_invoke`
-
-- **Trigger**: After tool execution completes.
-- **Use Cases**:
-  - Output transformation
-  - Error handling/recovery
-  - Tool usage metrics
-  - Result caching
-- **Payload**:
-  ```python
-  class ToolPostInvokePayload(BasePayload):
-      model_tool_call: ModelToolCall # Raw model output (contains name, args, callable)
-      tool_output: Any               # Raw tool output
-      tool_message: ToolMessage      # Formatted message
-      execution_time_ms: int
-      success: bool                  # Did tool execute without error
-      error: Exception | None        # Error if any
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `invocation_source`: str
-
-
-### G. Backend Adapter Operations
-
-Hooks around LoRA/aLoRA adapter loading and unloading on backends. Based on the `AdapterMixin` protocol in `mellea/backends/adapters/adapter.py`.
-
-> **Future Work: Backend Switching**
->
-> These hooks cover adapter load/unload on a single backend. Hooks for switching the entire backend on a session (e.g., from Ollama to OpenAI mid-session) are a potential future extension and are distinct from adapter management.
-
-
-#### `adapter_pre_load`
-
-- **Trigger**: Before `backend.load_adapter()` is called.
-- **Use Cases**:
-  - Validating adapter compatibility
-  - Enforcing adapter usage policies
-  - Logging adapter load attempts
-- **Payload**:
-  ```python
-  class AdapterPreLoadPayload(BasePayload):
-      adapter_name: str              # Name/path of adapter
-      adapter_config: dict           # Adapter configuration
-      backend_name: str              # Backend being adapted
-  ```
-- **Context**:
-  - `backend`: Backend
-
-
-#### `adapter_post_load`
-
-- **Trigger**: After adapter has been successfully loaded.
-- **Use Cases**:
-  - Confirming adapter activation
-  - Updating metrics/state
-  - Triggering downstream reconfiguration
-- **Payload**:
-  ```python
-  class AdapterPostLoadPayload(BasePayload):
-      adapter_name: str
-      adapter_config: dict
-      backend_name: str
-      load_duration_ms: int          # Time to load adapter
-  ```
-- **Context**:
-  - `backend`: Backend
-
-
-#### `adapter_pre_unload`
-
-- **Trigger**: Before `backend.unload_adapter()` is called.
-- **Use Cases**:
-  - Flushing adapter-specific state
-  - Logging adapter lifecycle
-  - Preventing unload during active generation
-- **Payload**:
-  ```python
-  class AdapterPreUnloadPayload(BasePayload):
-      adapter_name: str
-      backend_name: str
-  ```
-- **Context**:
-  - `backend`: Backend
+---
 
-
-#### `adapter_post_unload`
-
-- **Trigger**: After adapter has been unloaded.
-- **Use Cases**:
-  - Confirming adapter deactivation
-  - Cleaning up adapter-specific resources
-  - Updating metrics
-- **Payload**:
-  ```python
-  class AdapterPostUnloadPayload(BasePayload):
-      adapter_name: str
-      backend_name: str
-      unload_duration_ms: int        # Time to unload adapter
-  ```
-- **Context**:
-  - `backend`: Backend
-
-
-### H. Context Operations Hooks
-
-Hooks around context changes and management. These operate on the Context directly.
-
-
-#### `context_update`
-
-- **Trigger**: When a component or CBlock is explicitly appended to a session's context (e.g., after a successful generation or a user-initiated addition). Does not fire on internal framework reads or context linearization.
-- **Use Cases**:
-  - Context audit trail
-  - Memory management policies
-  - Sensitive data detection
-  - Token usage monitoring
-- **Payload**:
-  ```python
-  class ContextUpdatePayload(BasePayload):
-      previous_context: Context      # Context before change
-      new_data: Component | CBlock   # Data being added
-      resulting_context: Context     # Context after change
-      context_type: str              # "simple" | "chat"
-      change_type: str               # "append" | "reset"
-  ```
-- **Context**:
-  - `context`: Context
-  - `history_length`: int
-
-
-#### `context_prune`
-
-- **Trigger**: When `view_for_generation` is called and context exceeds token limits, or when a dedicated prune API is invoked. This is the point where context is linearized and token budget enforcement becomes relevant.
-- **Use Cases**:
-  - Token budget management
-  - Recording pruning events
-  - Custom pruning strategies
-  - Archiving pruned content
-- **Payload**:
-  ```python
-  class ContextPrunePayload(BasePayload):
-      context_before: Context        # Context before pruning
-      context_after: Context         # Context after pruning
-      pruned_items: list[Component | CBlock]  # Items removed
-      reason: str                    # Why pruning occurred
-      tokens_freed: int | None       # Token estimate freed
-  ```
-- **Context**:
-  - `context`: Context
-  - `token_limit`: int | None
-
-
-### I. Error Handling Hooks
-
-Cross-cutting hook for error conditions.
-
-
-#### `error_occurred`
-
-- **Trigger**: When an unrecoverable error occurs during any operation.
-- **Fires for**:
-  - `ComponentParseError` — structured output parsing failures
-  - Backend communication errors — connection failures, API errors, timeouts
-  - Assertion violations — internal invariant failures
-  - Any unhandled `Exception` during component execution, validation, or tool invocation
-- **Does NOT fire for**:
-  - Validation failures within sampling loops — these are handled by `sampling_iteration` and `sampling_repair`
-  - Controlled plugin violations via `PluginResult(continue_processing=False)` — these are policy decisions, not errors
-- **Use Cases**:
-  - Error logging/alerting
-  - Custom error recovery
-  - Error metrics
-  - Graceful degradation
-  - Notification systems
-- **Payload**:
-  ```python
-  class ErrorOccurredPayload(BasePayload):
-      error: Exception               # The exception
-      error_type: str                # Exception class name
-      error_location: str            # Where error occurred
-      recoverable: bool              # Can execution continue
-      context: Context | None        # Context at time of error
-      action: Component | None       # Action being performed
-      stack_trace: str               # Full stack trace
-  ```
-- **Context**:
-  - `session`: MelleaSession | None
-  - `backend`: Backend | None
-  - `context`: Context | None
-  - `operation`: str - What operation was being performed
-
-
-## 5. GlobalContext (Ambient Metadata)
+## GlobalContext design (ambient metadata)
 
 The `GlobalContext` passed to hooks carries lightweight, cross-cutting ambient metadata that is useful to every hook regardless of type. Hook-specific data (context, session, action, etc.) belongs on the **typed payload**, not on the global context.
 
@@ -1126,16 +65,6 @@ backend_name: str                  # Derived from backend.model_id (when backend
 
 The `backend_name` is a lightweight string extracted from `backend.model_id`. The full `backend` and `session` objects are **not** stored in GlobalContext — this avoids giving plugins unchecked mutable access to core framework objects.
 
-### What goes on payloads
-
-Domain-specific data belongs on the typed payload for each hook:
-
-- **`context`** — Available on payload types that need it (e.g., `GenerationPreCallPayload.context`, `ComponentPreExecutePayload.context`, `SamplingLoopStartPayload.context`)
-- **`session`** — Available on session hook payloads (e.g., `SessionPostInitPayload.session`)
-- **`action`**, **`result`**, **`model_output`** — Available on the relevant pre/post payloads
-
-This design ensures that plugins access data through typed, documented, discoverable payload fields rather than untyped dict lookups on `global_context.state`.
-
 ### Design rationale
 
 Previously, `context`, `session`, and `backend` were passed both on payloads and in `GlobalContext.state`, creating duplication. The same mutable object accessible via two paths was a footgun — plugins could be confused about which to read/modify. The refactored design:
@@ -1144,626 +73,67 @@ Previously, `context`, `session`, and `backend` were passed both on payloads and
 2. **GlobalContext** holds only truly ambient metadata (`backend_name`) that doesn't belong on any specific payload
 3. No mutable framework objects (`Backend`, `MelleaSession`, `Context`) are stored in GlobalContext
 
-## 6. Hook Results
+---
 
-Hooks can return different result types to control execution:
+## Design decision: separate success/error hooks
 
-1. **Continue (no-op)** — `PluginResult(continue_processing=True)` with no `modified_payload`. Execution proceeds with the original payload unchanged.
-2. **Continue with modification** — `PluginResult(continue_processing=True, modified_payload=...)`. The plugin manager applies the hook's `HookPayloadPolicy`, accepting only changes to writable fields. Execution proceeds with the policy-filtered payload.
-3. **Block execution** — `PluginResult(continue_processing=False, violation=...)`. Execution halts with structured error information via `PluginViolation`.
+`component_post_success` and `component_post_error` are separate hooks rather than a single `component_post` with a sum type over success/failure. The reasons are:
 
-These three outcomes are exhaustive. Hooks cannot redirect control flow, throw arbitrary exceptions, or alter the calling method's logic beyond these outcomes. This is enforced by the `PluginResult` type — there is no escape hatch. The `violation` field provides structured error information but does not influence which code path runs next.
+1. **Registration granularity** — Plugins subscribe to only what they need. An audit logger may only care about errors; a metrics collector may only care about successes.
+2. **Distinct payload shapes** — Success payloads carry `result`, `generate_log`, and `sampling_results`; error payloads carry `exception`, `error_type`, and `stack_trace`. A sum type would force nullable fields or tagged unions, adding complexity for every consumer.
+3. **Different execution modes** — Error hooks may be fire-and-forget (for alerting); success hooks may be blocking (for output transformation). Separate hooks allow per-hook execution timing configuration.
 
-Because payloads are frozen, the `modified_payload` in option 2 must be a new object created via `payload.model_copy(update={...})` — not a mutated version of the original.
+---
 
-### Modify Payload
+## Design decision: component_pre_create / component_post_create deferral
 
-Use the `modify()` convenience helper to return a modified payload. It absorbs both the `model_copy` call and the `PluginResult` wrapping:
+`component_pre_create` and `component_post_create` are not implemented. `Component` is currently a `Protocol`, not an abstract base class. This means Mellea has no ownership over component initialization: there are no guarantees about when or how subclass `__init__` methods run, and there is no single interception point that covers all `Component` implementations.
 
-```python
-from mellea.plugins import modify
+Placing hook calls inside `Instruction.__init__` and `Message.__init__` works for those specific classes, but it is fragile (any user-defined `Component` subclass is invisible to the hooks) and architecturally wrong (the hook system should not need to be threaded manually into every `__init__`).
 
-return modify(payload, model_options=new_options)
-```
+If `Component` were refactored to an abstract base class, Mellea could wrap `__init__` at the ABC level and fire these hooks generically for all subclasses. Until then, use `component_pre_execute` for pre-execution policy enforcement.
 
-This is equivalent to the verbose form:
+---
 
-```python
-modified = payload.model_copy(update={"model_options": new_options})
-return PluginResult(continue_processing=True, modified_payload=modified)
-```
+## Unimplemented hooks
 
-Multiple fields can be updated in a single call:
+The following hooks are designed but not yet implemented. They are included in the design for completeness and may be implemented as demand arises.
 
-```python
-return modify(payload, action=new_action, model_options=new_options)
-```
-
-> **Note**: Only changes to fields listed in the hook's `HookPayloadPolicy.writable_fields` will be accepted. Changes to other fields are silently discarded by the policy enforcement layer.
-
-### Block Execution
-
-Use the `block()` convenience helper to halt execution with structured violation information:
-
-```python
-from mellea.plugins import block
-
-return block("Token budget exceeded", code="BUDGET_001")
-```
-
-This is equivalent to the verbose form:
-
-```python
-violation = PluginViolation(
-    reason="Token budget exceeded",
-    code="BUDGET_001",
-)
-return PluginResult(continue_processing=False, violation=violation)
-```
+| Hook Point | Category | Notes |
+| --- | --- | --- |
+| `component_pre_create` | Component Lifecycle | Blocked on Component-as-ABC refactoring (see above) |
+| `component_post_create` | Component Lifecycle | Blocked on Component-as-ABC refactoring (see above) |
+| `generation_stream_chunk` | Generation Pipeline | Per-chunk interception during streaming |
+| `adapter_pre_load` | Backend Adapter Ops | Before `backend.load_adapter()` |
+| `adapter_post_load` | Backend Adapter Ops | After adapter loaded |
+| `adapter_pre_unload` | Backend Adapter Ops | Before `backend.unload_adapter()` |
+| `adapter_post_unload` | Backend Adapter Ops | After adapter unloaded |
+| `context_update` | Context Operations | When context changes (append/reset) |
+| `context_prune` | Context Operations | When context is trimmed for token budget |
+| `error_occurred` | Error Handling | Cross-cutting hook for unrecoverable errors |
 
-`block()` accepts an optional `description` (longer explanation), `details` (dict of structured metadata), in addition to `reason` and `code`.
+---
 
-### Symmetry of `modify()` and `block()`
+## Scoping implementation
 
-`modify()` and `block()` are intentional counterparts: one for transforming, one for stopping. Reading a hook at a glance, `return modify(...)` signals a payload transformation continues processing, while `return block(...)` signals a hard stop:
+A single `PluginManager` instance manages all plugins. Plugins are tagged with an optional `session_id`. At dispatch time, the manager filters: global plugins (no session tag) always run; session-tagged plugins run only when the dispatch context matches their session ID.
 
-```python
-@hook("component_pre_execute", mode=PluginMode.SEQUENTIAL)
-async def enforce_and_redact(payload, ctx):
-    if is_restricted(payload.action):
-        return block("Restricted topic", code="POLICY_001")
-    if has_pii(payload.action):
-        return modify(payload, action=redact(payload.action))
-    # returning None continues processing unchanged
-```
-
-## 7. Registration & Configuration
-
-### Public API
+With-block scopes use the same `session_id` tagging mechanism. Each `with` block gets a unique UUID scope ID; the plugin manager filters plugins by scope ID at dispatch time and deregisters them by scope ID on exit.
 
-All plugin registration APIs are available from `mellea.plugins`:
-
-```python
-from mellea.plugins import Plugin, hook, block, modify, PluginSet, register, unregister
-```
+---
 
-### Standalone Function Hooks
-
-The simplest way to define a hook handler is with the `@hook` decorator on a plain async function:
-
-```python
-from mellea.plugins import hook, block, PluginMode
-
-@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_budget(payload, ctx):
-    if (_estimate_tokens(payload) or 0) > 4000:
-        return block("Token budget exceeded")
-
-@hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
-async def log_result(payload, ctx):
-    print(f"[{payload.component_type}] {payload.latency_ms}ms")
-```
+## YAML configuration (secondary)
 
-**Parameters**:
-- `hook_type: str` — the hook point name (required, first positional argument)
-- `mode: PluginMode` — `PluginMode.SEQUENTIAL` (default), `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, or `PluginMode.FIRE_AND_FORGET`
-- `priority: int` — lower numbers execute first (default: 50)
-
-The `block()` helper is shorthand for returning `PluginResult(continue_processing=False, violation=PluginViolation(reason=...))`. It accepts an optional `code`, `description`, and `details` for structured violation information.
-
-### Class-Based Plugins
-
-For plugins that need shared state across multiple hooks, subclass `Plugin`:
-
-```python
-from mellea.plugins import Plugin, hook
-
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    def __init__(self, patterns: list[str] | None = None):
-        self.patterns = patterns or []
-
-    @hook("component_pre_execute")
-    async def redact_input(self, payload, ctx):
-        ...
-
-    @hook("generation_post_call")
-    async def redact_output(self, payload, ctx):
-        ...
-```
-
-The `Plugin` base class uses `__init_subclass__` keyword arguments:
-- `name: str` — plugin name (required for registration)
-- `priority: int` — default priority for all hooks in this plugin (default: 50). Individual `@hook(priority=N)` on a method overrides this class-level default for that specific method. `PluginSet` priority overrides both.
-
-`Plugin` subclasses automatically support the context manager protocol (`with`/`async with`) for block-scoped activation.
-
-**Advanced: `MelleaPlugin` subclass** — for plugins that need cpex lifecycle hooks (`initialize`/`shutdown`) or typed context accessors. This is not part of the primary public API:
-
-```python
-from mellea.plugins.base import MelleaPlugin
-from mellea.plugins import hook
-
-class MetricsPlugin(MelleaPlugin):
-    def __init__(self, endpoint: str):
-        super().__init__()
-        self.endpoint = endpoint
-        self._buffer = []
-
-    async def initialize(self):
-        self._client = await connect(self.endpoint)
-
-    async def shutdown(self):
-        await self._client.flush(self._buffer)
-        await self._client.close()
-
-    @hook("component_post_success")
-    async def collect(self, payload, ctx):
-        backend = self.get_backend(ctx)  # typed accessor
-        self._buffer.append({"latency": payload.latency_ms})
-```
-
-### Composing Plugins with PluginSet
-
-`PluginSet` groups related hooks and plugins for reuse across sessions:
-
-```python
-from mellea.plugins import PluginSet
-
-security = PluginSet("security", [
-    enforce_budget,
-    PIIRedactor(patterns=[r"\d{3}-\d{2}-\d{4}"]),
-])
-
-observability = PluginSet("observability", [
-    log_result,
-    MetricsPlugin(endpoint="https://..."),
-])
-```
-
-`PluginSet` accepts standalone hook functions and `Plugin` subclass instances. PluginSets can be nested.
-
-### Global Registration
-
-Register plugins globally so they fire for all hook invocations — both session-based and functional API:
-
-```python
-from mellea.plugins import register
-
-register(security)                          # single item
-register([security, observability])         # list
-register(enforce_budget)                    # standalone function
-```
-
-`register()` accepts a single item or a list. Items can be standalone hook functions, plugin instances, or `PluginSet`s.
-
-### Global Deregistration
-
-To remove a globally registered plugin at runtime, use `unregister()`:
-
-```python
-from mellea.plugins import unregister
-
-unregister(security)                     # single item
-unregister([security, observability])    # list
-unregister(enforce_budget)              # standalone function
-```
-
-`unregister()` accepts the same item types as `register()`: standalone hook functions, `Plugin` subclass instances, and `PluginSet`s. Unregistering a `PluginSet` removes all of its member items. Calling `unregister()` on an item that is not currently registered is a no-op; it does not raise.
-
-`unregister()` applies only to globally registered plugins. Session-scoped plugins are deregistered automatically when their session ends; with-block-scoped plugins are deregistered on scope exit. Neither requires an explicit `unregister()` call.
-
-### Session-Scoped Registration
-
-Pass plugins to `start_session()` to scope them to that session:
-
-```python
-m = mellea.start_session(
-    backend_name="openai",
-    model_id="gpt-4",
-    plugins=[security, observability],
-)
-```
-
-The `plugins` parameter accepts the same types as `register()`: standalone hook functions, plugin instances, and `PluginSet`s. These plugins fire only within this session, in addition to any globally registered plugins. They are automatically deregistered when the session is cleaned up.
-
-### Functional API (No Session)
-
-When using the functional API directly:
-
-```python
-from mellea.stdlib.functional import instruct
+For deployment-time configuration, plugins can be loaded from YAML. This is useful for enabling/disabling plugins or changing priorities without code changes. The `disabled` mode (`PluginMode.DISABLED`) is available in YAML configuration for deployment-time control but is not exposed in Mellea's public `PluginMode` enum.
 
-result = instruct(backend, context, "Extract the user's age")
-```
-
-Only globally registered plugins fire. If no global plugins are registered, hooks are no-ops with zero overhead. Session-scoped plugins do not apply because there is no session.
-
-### Priority
-
-- Lower numbers execute first
-- Within the same priority, execution order is deterministic but unspecified
-- Default priority: 50 (when no explicit priority is set anywhere)
-- Priority resolution order (highest precedence first):
-  1. `PluginSet` priority — overrides all items in the set, including nested `PluginSet`s
-  2. `@hook(priority=N)` on a method — overrides the class-level default for that specific method
-  3. `Plugin` class-level priority (`class Foo(Plugin, priority=N)`) — default for all methods without an explicit `@hook` priority
-  4. Framework default: 50
-- `HookMeta.priority` is `int | None` — `None` means "not explicitly set", resolved at registration time
-
-### YAML Configuration (Secondary)
-
-For deployment-time configuration, plugins can also be loaded from YAML. This is useful for enabling/disabling plugins or changing priorities without code changes:
-
-```yaml
-plugins:
-  - name: content-policy
-    kind: mellea.plugins.ContentPolicyPlugin
-    hooks:
-      - component_pre_create
-      - generation_post_call
-    mode: sequential
-    priority: 10
-    config:
-      blocked_terms: ["term1", "term2"]
-
-  - name: telemetry
-    kind: mellea.plugins.TelemetryPlugin
-    hooks:
-      - component_post_success
-      - validation_post_check
-      - sampling_loop_end
-    mode: fire_and_forget
-    priority: 100
-    config:
-      endpoint: "https://telemetry.example.com"
-```
-
-### Execution Modes (YAML / PluginMode Enum)
-
-The following modes are available in CPEX's `PluginMode` enum and YAML configuration:
-
-- **`sequential`** (`PluginMode.SEQUENTIAL`): Awaited inline, serial execution, block on violation
-- **`concurrent`** (`PluginMode.CONCURRENT`): Awaited inline, concurrent execution, violations honored
-- **`audit`** (`PluginMode.AUDIT`): Awaited inline, log violations without blocking
-- **`fire_and_forget`** (`PluginMode.FIRE_AND_FORGET`): Background task, result ignored
-- **`disabled`** (`PluginMode.DISABLED`): Skip hook execution (deployment-time only)
-
-The `@hook` decorator accepts Mellea's own `PluginMode` enum values (`SEQUENTIAL`, `CONCURRENT`, `AUDIT`, `FIRE_AND_FORGET`) which map to CPEX's internal `PluginMode`. The `disabled` mode is a deployment-time concern configured via YAML or programmatic `PluginConfig`.
-
-### Custom Hook Types
-
-The plugin framework supports custom hook types for domain-specific extension points beyond the built-in lifecycle hooks. This is particularly relevant for agentic patterns (ReAct, tool-use loops, etc.) where the execution flow is application-defined.
-
-Custom hooks use the same `@hook` decorator:
-
-```python
-@hook("react_pre_reasoning")
-async def before_reasoning(payload, ctx):
-    ...
-```
-
-Custom hooks follow the same calling convention, payload chaining, and result semantics as built-in hooks. The plugin manager discovers them via the decorator metadata at registration time. As agentic patterns stabilize in Mellea, frequently-used custom hooks may be promoted to built-in hooks.
-
-## 8. Example Implementations
-
-### Token Budget Enforcement (Standalone Function)
-
-```python
-from mellea.plugins import hook, block, PluginMode
-
-@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_token_budget(payload, ctx):
-    budget = 4000
-    estimated = _estimate_tokens(payload) or 0
-    if estimated > budget:
-        return block(
-            f"Estimated {estimated} tokens exceeds budget of {budget}",
-            code="TOKEN_BUDGET_001",
-            details={"estimated": estimated, "budget": budget},
-        )
-```
-
-### Content Policy (Standalone Function)
-
-```python
-from mellea.plugins import hook, block, PluginMode
-
-BLOCKED_TERMS = ["term1", "term2"]
-
-@hook("component_pre_create", mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_content_policy(payload, ctx):
-    # Only enforce on Instructions and GenerativeSlots
-    if payload.component_type not in ("Instruction", "GenerativeSlot"):
-        return None
-
-    for term in BLOCKED_TERMS:
-        if term.lower() in payload.description.lower():
-            return block(
-                f"Component contains blocked term: {term}",
-                code="CONTENT_POLICY_001",
-            )
-```
-
-### Audit Logger (Fire-and-Forget)
-
-```python
-from mellea.plugins import hook, PluginMode
-
-@hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
-async def audit_log_success(payload, ctx):
-    await send_to_audit_service({
-        "event": "generation_success",
-        "session_id": payload.session_id,
-        "component_type": payload.component_type,
-        "latency_ms": payload.latency_ms,
-        "timestamp": payload.timestamp.isoformat(),
-    })
-
-@hook("component_post_error", mode=PluginMode.FIRE_AND_FORGET)
-async def audit_log_error(payload, ctx):
-    await send_to_audit_service({
-        "event": "generation_error",
-        "session_id": payload.session_id,
-        "error_type": payload.error_type,
-        "timestamp": payload.timestamp.isoformat(),
-    })
-```
-
-### PII Redaction Plugin (Class-Based with `Plugin`)
-
-```python
-import re
-from mellea.plugins import Plugin, hook, PluginResult
-
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    def __init__(self, patterns: list[str] | None = None):
-        self.patterns = patterns or [r"\d{3}-\d{2}-\d{4}"]
-
-    @hook("component_pre_create")
-    async def redact_input(self, payload, ctx):
-        redacted = self._redact(payload.description)
-        if redacted != payload.description:
-            modified = payload.model_copy(update={"description": redacted})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-    @hook("generation_post_call")
-    async def redact_output(self, payload, ctx):
-        # model_output is a ModelOutputThunk — value may be None (lazy/uncomputed)
-        output_value = getattr(payload.model_output, "value", None)
-        if output_value is None:
-            return  # thunk not yet computed, nothing to redact
-        redacted = self._redact(output_value)
-        if redacted != output_value:
-            payload.model_output.value = redacted
-
-    def _redact(self, text: str) -> str:
-        for pattern in self.patterns:
-            text = re.sub(pattern, "[REDACTED]", text)
-        return text
-```
-
-### Generative Slot Profiler (`Plugin` Subclass)
-
-```python
-from collections import defaultdict
-from mellea.plugins import Plugin, hook
-
-class SlotProfiler(Plugin, name="slot-profiler"):
-    """Tracks latency stats for GenerativeSlot executions."""
-
-    def __init__(self):
-        self._stats = defaultdict(lambda: {"calls": 0, "total_ms": 0})
-
-    @hook("component_post_success")
-    async def profile(self, payload, ctx):
-        if payload.component_type != "GenerativeSlot":
-            return None
-        stats = self._stats[payload.action.__name__]
-        stats["calls"] += 1
-        stats["total_ms"] += payload.latency_ms
-```
-
-### Composition Example
-
-```python
-from mellea.plugins import PluginSet, register
-import mellea
-
-# Group by concern
-security = PluginSet("security", [
-    enforce_token_budget,
-    enforce_content_policy,
-    PIIRedactor(patterns=[r"\d{3}-\d{2}-\d{4}"]),
-])
-
-observability = PluginSet("observability", [
-    audit_log_success,
-    audit_log_error,
-    SlotProfiler(),
-])
-
-# Global: fires for all invocations (session and functional API)
-register(observability)
-
-# Session-scoped: security only for this session
-m = mellea.start_session(
-    backend_name="openai",
-    model_id="gpt-4",
-    plugins=[security],
-)
-
-# Functional API: only global plugins (observability) fire
-from mellea.stdlib.functional import instruct
-result = instruct(backend, context, "Extract the user's age")
-```
-
-
-## 9. Hook Execution Flow
-
-### Simplified Main Flow
-
-```mermaid
-flowchart LR
-    A([Start]) --> B[Session Init]
-    B --> C[Component]
-    C --> D[Generation]
-    D --> E[Validation]
-    E --> F{OK?}
-    F --> |Yes| G[Success]
-    F --> |No| H[Error/Retry]
-    G --> I[Cleanup]
-    H --> I
-    I --> J([End])
-
-    style A fill:#e1f5fe
-    style J fill:#e1f5fe
-    style F fill:#fce4ec
-```
-
-### Detailed Flow
-
-```mermaid
-flowchart TD
-    A([User Request]) --> B
-
-    subgraph Session["Session Lifecycle"]
-        B[session_pre_init]
-        B --> C[session_post_init]
-    end
-
-    C --> D
-
-    subgraph CompLifecycle["Component Lifecycle"]
-        D[component_pre_create]
-        D --> E[component_post_create]
-        E --> F[component_pre_execute]
-    end
-
-    F --> G
-
-    subgraph Sampling["Sampling Loop (if strategy)"]
-        SL1[sampling_loop_start]
-        SL1 --> SL2[sampling_iteration]
-        SL2 --> SL3{Valid?}
-        SL3 --> |No| SL4[sampling_repair]
-        SL4 --> SL2
-        SL3 --> |Yes| SL5[sampling_loop_end]
-    end
-
-    subgraph Generation["LLM Generation"]
-        G[generation_pre_call]
-        G --> H{{LLM Call}}
-        H --> H2[generation_stream_chunk]
-        H2 --> I[generation_post_call]
-    end
-
-    I --> J
-
-    subgraph Tools["Tool Calling (if tools)"]
-        T1[tool_pre_invoke]
-        T1 --> T2{{Tool Execution}}
-        T2 --> T3[tool_post_invoke]
-    end
-
-    subgraph Validation["Validation"]
-        J[validation_pre_check]
-        J --> K{{Requirements Check}}
-        K --> L[validation_post_check]
-    end
-
-    L --> M{Success?}
-
-    M --> |Yes| N[component_post_success]
-    M --> |No| O[component_post_error]
-
-    N --> P[context_update]
-    O --> Q[error_occurred]
-
-    subgraph ContextOps["Context Operations"]
-        P[context_update]
-        P -.-> P2[context_prune]
-    end
-
-    subgraph Adapter["Backend Adapter Operations"]
-        AD1[adapter_pre_load]
-        AD1 --> AD2[adapter_post_load]
-        AD3[adapter_pre_unload]
-        AD3 --> AD4[adapter_post_unload]
-    end
-
-    subgraph Cleanup["Session End"]
-        R2[session_cleanup]
-        R[session_reset]
-    end
-
-    P --> R2
-    Q --> R2
-    R2 --> Z([End])
-
-    %% Styling
-    style A fill:#e1f5fe
-    style Z fill:#e1f5fe
-    style H fill:#fff3e0
-    style K fill:#fff3e0
-    style T2 fill:#fff3e0
-    style M fill:#fce4ec
-    style SL3 fill:#fce4ec
-```
-
-## 10. Observability Integration
-
-### Shallow Logging and OTel
-
-"Shallow logging" refers to OTel-instrumenting the HTTP transport layer of LLM client libraries (openai, ollama, litellm). This captures request/response spans at the network level without awareness of Mellea's semantic concepts (components, sampling strategies, validation).
-
-The hook system provides natural integration points for enriching these shallow spans with Mellea-level context:
-
-- **`generation_pre_call`**: Inject span attributes such as `component_type`, `strategy_name`, and `backend_name` (from `GlobalContext.state`) into the active OTel context before the HTTP call fires
-- **`generation_post_call`**: Attach result metadata — `finish_reason`, `token_usage`, validation outcome — to the span after the call completes
-
-> **Forward-looking**: Mellea does not currently include OTel integration. This section describes the intended design for how hooks and shallow logging would compose when OTel support is added.
-
-## 11. Error Handling, Security & Isolation
-
-### Error Handling
-
-- **Isolation**: Plugin exceptions should not crash Mellea sessions; wrap each handler in try/except
-- **Logging**: All plugin errors are logged with full context
-- **Timeouts**: Support configurable timeouts for plugin execution
-- **Circuit Breaker**: Disable failing plugins after repeated errors
-
-### Security Considerations
-
-- **Data Privacy**: Payloads may include user content; plugins must respect privacy policies
-- **Redaction**: Consider masking sensitive fields for plugins that should not see them
-- **Sandboxing**: Provide options to run plugins in restricted environments
-- **Validation**: Validate plugin inputs and outputs to prevent injection attacks
-
-### Isolation Options
-
-This is a proposal for supporting compartmentalized execution of plugins.
-
-```yaml
-plugins:
-  - name: untrusted-plugin
-    kind: external.UntrustedPlugin
-    isolation:
-      sandbox: true
-      timeout_ms: 5000
-      max_memory_mb: 256
-      allowed_operations: ["read_payload", "emit_metric"]
-```
+---
 
-## 12. Backward Compatibility & Migration
+## Custom hook types
 
-### Versioning
+The plugin framework supports custom hook types for domain-specific extension points beyond the built-in lifecycle hooks. This is particularly relevant for agentic patterns (ReAct, tool-use loops, etc.) where the execution flow is application-defined. Custom hooks use the same `@hook` decorator and follow the same calling convention, payload chaining, and result semantics. As agentic patterns stabilize in Mellea, frequently-used custom hooks may be promoted to built-in hooks.
 
-- Hook payload contracts are versioned (e.g., `payload_version: "1.0"`)
-- Breaking changes increment major version
-- Deprecated fields marked and maintained for one major version
-- Hook payload versions are independent of Mellea release versions. Payload versions change only when the payload schema changes, which may or may not coincide with a Mellea release
+---
 
-### Default Behavior
+## Functional API support
 
-- Without plugins registered, Mellea behavior is unchanged
-- Default "no-op" plugin manager if no configuration provided
+The functional API (`instruct(backend, context, ...)`) does not require a session. Hooks still fire at the same execution points. If global plugins are registered, they execute. If no plugins are registered, hooks are no-ops with zero overhead. Session-scoped plugins do not apply because there is no session.
diff --git a/docs/dev/hook_system_implementation_plan.md b/docs/dev/hook_system_implementation_plan.md
deleted file mode 100644
index b37b976f5..000000000
--- a/docs/dev/hook_system_implementation_plan.md
+++ /dev/null
@@ -1,1230 +0,0 @@
-# Mellea Hook System Implementation Plan
-
-This document describes the implementation plan for the extensibility hook system specified in [`docs/dev/hook_system.md`](hook_system.md). The implementation uses [CPEX](https://github.com/contextforge-org/contextforge-plugins-framework) as an optional external dependency for core plumbing, while all Mellea-specific types — hook enums, payload models, and the plugin base class — are owned by Mellea under a new `mellea/plugins/` subpackage.
-
-The primary developer-facing API is the `@hook` decorator, the `Plugin` base class, and programmatic registration (`register()`, `PluginSet`). YAML configuration is supported as a secondary mechanism for deployment-time overrides. Plugins work identically whether invoked through a session or via the functional API (`instruct(backend, context, ...)`).
-
-## 1. Package Structure
-
-```
-mellea/plugins/
-├── __init__.py            # Public API: Plugin, hook, block, PluginSet, register, plugin_scope
-├── manager.py             # Singleton wrapper + session-tag filtering
-├── base.py                # Plugin base class, MelleaBasePayload, MelleaPlugin (advanced)
-├── types.py               # HookType enum, PluginMode enum + hook registration
-├── policies.py            # HookPayloadPolicy table + DefaultHookPolicy for Mellea hooks
-├── context.py             # Plugin context factory helper
-├── decorators.py          # @hook decorator implementation
-├── pluginset.py           # PluginSet class
-├── registry.py            # register(), block(), plugin_scope() + global/session dispatch logic
-└── hooks/
-    ├── __init__.py         # Re-exports all payload classes
-    ├── session.py          # session lifecycle payloads
-    ├── component.py        # component lifecycle payloads
-    ├── generation.py       # generation pipeline payloads
-    ├── validation.py       # validation payloads
-    ├── sampling.py         # sampling pipeline payloads
-    ├── tool.py             # tool execution payloads
-    ├── adapter.py          # adapter operation payloads
-    ├── context_ops.py      # context operation payloads
-    └── error.py            # error handling payload
-```
-
-## 2. CPEX (Key Interfaces Used)
-
-The following types from `cpex.framework` form the plumbing layer. Mellea uses these but does **not** import any CPEX-specific hook types (prompts, tools, resources, agents, http).
-
-| Type | Role |
-|------|------|
-| `Plugin` | ABC base class. `__init__(config: PluginConfig)`, `initialize()`, `shutdown()`. Hook methods discovered by convention (method name = hook type) or `@hook()` decorator. Signature: `async def hook_name(self, payload, context) -> PluginResult`. |
-| `PluginManager` | Borg singleton. `__init__(config_path, timeout, observability, hook_policies)`. Key methods: `invoke_hook(hook_type, payload, global_context, ...) -> (PluginResult, PluginContextTable)`, `has_hooks_for(hook_type) -> bool`, `initialize()`, `shutdown()`. The `hook_policies` parameter accepts a `dict[str, HookPayloadPolicy]` mapping hook types to their writable-field policies. |
-| `PluginPayload` | Base type for all hook payloads. Frozen Pydantic `BaseModel` (`ConfigDict(frozen=True)`). Plugins use `model_copy(update={...})` to propose modifications. |
-| `PluginResult[T]` | Generic result: `continue_processing: bool`, `modified_payload: T | None`, `violation: PluginViolation | None`, `metadata: dict`. |
-| `PluginViolation` | `reason`, `description`, `code`, `details`. |
-| `PluginConfig` | `name`, `kind`, `hooks`, `mode`, `priority`, `conditions`, `config`, ... |
-| `PluginMode` | `SEQUENTIAL`, `CONCURRENT`, `AUDIT`, `FIRE_AND_FORGET`, `DISABLED`. |
-| `PluginContext` | `state: dict`, `global_context: GlobalContext`, `metadata: dict`. |
-| `HookPayloadPolicy` | Frozen dataclass with `writable_fields: frozenset[str]`. Defines which payload fields plugins may modify for a given hook type. |
-| `DefaultHookPolicy` | Enum: `ALLOW` (accept all modifications), `DENY` (reject all modifications). Controls behavior for hooks without an explicit policy. |
-| `apply_policy()` | `apply_policy(original, modified, policy) -> BaseModel \| None`. Accepts only changes to writable fields via `model_copy(update=...)`, discarding unauthorized changes. Returns `None` if no effective changes. |
-| `HookRegistry` | `get_hook_registry()`, `register_hook(hook_type, payload_class, result_class)`, `is_registered(hook_type)`. |
-| `@hook` decorator | `@hook("hook_type")` or `@hook("hook_type", PayloadType, ResultType)` for custom method names. |
-
-### Class Diagram
-
-```mermaid
-classDiagram
-      direction TB
-
-      %% Core Plugin Classes
-      class Plugin {
-          <<abstract>>
-          +__init__(config: PluginConfig)
-          +initialize()* async
-          +shutdown()* async
-          +hook_name(payload, context)* async PluginResult
-      }
-
-      class PluginManager {
-          <<singleton>>
-          -config_path: str
-          -timeout: int
-          -observability: Any
-          -hook_registry: HookRegistry
-          -hook_policies: dict~str, HookPayloadPolicy~
-          +__init__(config_path, timeout, observability, hook_policies)
-          +invoke_hook(hook_type, payload, global_context, ...) tuple~PluginResult, PluginContextTable~
-          +has_hooks_for(hook_type: str) bool
-          +initialize() async
-          +shutdown() async
-      }
-
-      %% Configuration
-      class PluginConfig {
-          +name: str
-          +kind: str
-          +hooks: list~str~
-          +mode: PluginMode
-          +priority: int
-          +conditions: dict
-          +config: dict
-      }
-
-      class PluginMode {
-          <<enumeration>>
-          SEQUENTIAL
-          CONCURRENT
-          AUDIT
-          FIRE_AND_FORGET
-          DISABLED
-      }
-
-      %% Policy
-      class HookPayloadPolicy {
-          <<frozen dataclass>>
-          +writable_fields: frozenset~str~
-      }
-
-      class DefaultHookPolicy {
-          <<enumeration>>
-          ALLOW
-          DENY
-      }
-
-      %% Payload & Result
-      class PluginPayload {
-          <<type alias>>
-          pydantic.BaseModel
-          model_config: frozen=True
-      }
-
-      class PluginResult~T~ {
-          +continue_processing: bool
-          +modified_payload: T | None
-          +violation: PluginViolation | None
-          +metadata: dict
-      }
-
-      class PluginViolation {
-          +reason: str
-          +description: str
-          +code: str
-          +details: dict
-      }
-
-      %% Context
-      class PluginContext {
-          +state: dict
-          +global_context: GlobalContext
-          +metadata: dict
-      }
-
-      class hook {
-          <<decorator>>
-          +__call__(hook_type: str)
-          +__call__(hook_type, PayloadType, ResultType)
-      }
-
-      %% Relationships
-      Plugin --> PluginConfig : configured by
-      Plugin ..> PluginPayload : receives
-      Plugin ..> PluginResult : returns
-      Plugin ..> PluginContext : receives
-      Plugin ..> hook : decorated by
-
-      PluginManager --> Plugin : manages 0..*
-      PluginManager --> HookPayloadPolicy : enforces per hook
-
-      PluginConfig --> PluginMode : has
-
-      PluginResult --> PluginViolation : may contain
-      PluginResult --> PluginPayload : wraps modified
-```
-
-### YAML Plugin Configuration (reference)
-
-Plugins can also be configured via YAML as a secondary mechanism. Programmatic registration via `@hook`, `Plugin` subclasses, and `register()` is the primary approach.
-
-```yaml
-plugins:
-  - name: content-policy
-    kind: mellea.plugins.examples.ContentPolicyPlugin
-    hooks:
-      - component_pre_create
-      - generation_post_call
-    mode: sequential
-    priority: 10
-    config:
-      blocked_terms: ["term1", "term2"]
-
-  - name: telemetry
-    kind: mellea.plugins.examples.TelemetryPlugin
-    hooks:
-      - component_post_success
-      - sampling_loop_end
-    mode: fire_and_forget
-    priority: 100
-    config:
-      endpoint: "https://telemetry.example.com"
-```
-
-### Mellea Wrapper Layer
-
-Mellea exposes its own `@hook` decorator and `Plugin` base class that translate to CPEX registrations internally. This serves two purposes:
-
-1. **Mellea-aligned API**: The `@hook` decorator accepts a `mode` parameter using Mellea's own `PluginMode` enum (`PluginMode.SEQUENTIAL`, `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, `PluginMode.FIRE_AND_FORGET`), which maps to CPEX's internal `PluginMode` enum. The `Plugin` base class uses `__init_subclass__` keyword arguments (`name=`, `priority=`) for ergonomic metadata declaration.
-2. **Session tagging**: Mellea's wrapper adds session-scoping metadata that CPEX's `PluginManager` does not natively support. The `manager.py` layer filters hooks at dispatch time based on session tags.
-
-Users never import from `cpex.framework` directly.
-
-## 3. Core Types
-
-### 3.1 `HookType` enum (`mellea/plugins/types.py`)
-
-A single `HookType(str, Enum)` containing all hook types. String-based values for compatibility with CPEX's `invoke_hook(hook_type: str, ...)`.
-
-```python
-class HookType(str, Enum):
-    # Session Lifecycle
-    SESSION_PRE_INIT = "session_pre_init"
-    SESSION_POST_INIT = "session_post_init"
-    SESSION_RESET = "session_reset"
-    SESSION_CLEANUP = "session_cleanup"
-
-    # Component Lifecycle
-    COMPONENT_PRE_CREATE = "component_pre_create"
-    COMPONENT_POST_CREATE = "component_post_create"
-    COMPONENT_PRE_EXECUTE = "component_pre_execute"
-    COMPONENT_POST_SUCCESS = "component_post_success"
-    COMPONENT_POST_ERROR = "component_post_error"
-
-    # Generation Pipeline
-    GENERATION_PRE_CALL = "generation_pre_call"
-    GENERATION_POST_CALL = "generation_post_call"
-    GENERATION_STREAM_CHUNK = "generation_stream_chunk"
-
-    # Validation
-    VALIDATION_PRE_CHECK = "validation_pre_check"
-    VALIDATION_POST_CHECK = "validation_post_check"
-
-    # Sampling Pipeline
-    SAMPLING_LOOP_START = "sampling_loop_start"
-    SAMPLING_ITERATION = "sampling_iteration"
-    SAMPLING_REPAIR = "sampling_repair"
-    SAMPLING_LOOP_END = "sampling_loop_end"
-
-    # Tool Execution
-    TOOL_PRE_INVOKE = "tool_pre_invoke"
-    TOOL_POST_INVOKE = "tool_post_invoke"
-
-    # Backend Adapter Ops
-    ADAPTER_PRE_LOAD = "adapter_pre_load"
-    ADAPTER_POST_LOAD = "adapter_post_load"
-    ADAPTER_PRE_UNLOAD = "adapter_pre_unload"
-    ADAPTER_POST_UNLOAD = "adapter_post_unload"
-
-    # Context Operations
-    CONTEXT_UPDATE = "context_update"
-    CONTEXT_PRUNE = "context_prune"
-
-    # Error Handling
-    ERROR_OCCURRED = "error_occurred"
-```
-
-### 3.2 `MelleaBasePayload` (`mellea/plugins/base.py`)
-
-All Mellea hook payloads inherit from this base, which extends `PluginPayload` with the common fields from the hook system spec (Section 2):
-
-```python
-class MelleaBasePayload(PluginPayload):
-    """Frozen base — all payloads are immutable by design.
-
-    Plugins must use ``model_copy(update={...})`` to propose modifications
-    and return the copy via ``PluginResult.modified_payload``.  The plugin
-    manager applies the hook's ``HookPayloadPolicy`` to filter changes to
-    writable fields only.
-    """
-    model_config = ConfigDict(frozen=True, arbitrary_types_allowed=True)
-
-    session_id: str | None = None
-    request_id: str
-    timestamp: datetime = Field(default_factory=datetime.utcnow)
-    hook: str
-    user_metadata: dict[str, Any] = Field(default_factory=dict)
-```
-
-`frozen=True` prevents in-place mutations — attribute assignment on a payload instance raises `FrozenModelError`. `arbitrary_types_allowed=True` is required because payloads include non-serializable Mellea objects (`Backend`, `Context`, `Component`, `ModelOutputThunk`). This means external plugins cannot receive these payloads directly; they are designed for native in-process plugins.
-
-### 3.3 Hook Registration (`mellea/plugins/types.py`)
-
-A `register_mellea_hooks()` function registers all hook types with CPEX `HookRegistry`. Called once during plugin initialization. Idempotent via `is_registered()` check.
-
-```python
-def register_mellea_hooks() -> None:
-    registry = get_hook_registry()
-    for hook_type, (payload_cls, result_cls) in _HOOK_REGISTRY.items():
-        if not registry.is_registered(hook_type):
-            registry.register_hook(hook_type, payload_cls, result_cls)
-```
-
-### 3.4 Context Mapping (`mellea/plugins/context.py`)
-
-CPEX provides a generic `GlobalContext` with a `state: dict`. The `build_global_context` factory populates it with lightweight, cross-cutting ambient metadata. Hook-specific data (context, session, action, etc.) belongs on the typed payload, not here.
-
-```python
-def build_global_context(
-    *,
-    backend: Backend | None = None,
-    **extra_fields,
-) -> GlobalContext:
-    state: dict[str, Any] = {}
-    if backend is not None:
-        state["backend_name"] = getattr(backend, "model_id", "unknown")
-    state.update(extra_fields)
-    return GlobalContext(request_id="", state=state)
-```
-
-> **Design note**: Previously, `context`, `session`, and the full `backend` object were stored in `GlobalContext.state`, duplicating data already present on typed payloads. This was removed to eliminate the duplication footgun — plugins should access domain objects through the typed, policy-controlled payload fields.
-
-### 3.5 `Plugin` Base Class (`mellea/plugins/base.py`)
-
-`Plugin` is the primary base class for multi-hook Mellea plugins. It is one of two ways to define plugins, alongside `@hook` on standalone functions (simplest). `Plugin` provides automatic context-manager support and plugin metadata via `__init_subclass__` keyword arguments.
-
-```python
-class Plugin:
-    """Base class for multi-hook Mellea plugins.
-
-    Subclasses get automatic context-manager support and plugin metadata::
-
-        class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-            @hook(HookType.COMPONENT_PRE_CREATE, mode=PluginMode.SEQUENTIAL)
-            async def redact_input(self, payload, ctx):
-                ...
-
-        with PIIRedactor():
-            result = session.instruct("...")
-    """
-
-    def __init_subclass__(
-        cls, *, name: str = "", priority: int = 50, **kwargs: Any
-    ) -> None:
-        """Set plugin metadata on subclasses that provide a ``name``."""
-        super().__init_subclass__(**kwargs)
-        if name:
-            cls._mellea_plugin_meta = PluginMeta(name=name, priority=priority)
-
-    def __enter__(self) -> Any: ...
-    def __exit__(self, exc_type, exc_val, exc_tb) -> None: ...
-    async def __aenter__(self) -> Any: ...
-    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None: ...
-```
-
-`Plugin` has no cpex dependency and does not require lifecycle hooks. All context-manager methods delegate to `_plugin_cm_enter`/`_plugin_cm_exit` module-level helpers that handle UUID scope generation and registration/deregistration.
-
-### 3.5b `MelleaPlugin` Advanced Base Class (`mellea/plugins/base.py`)
-
-`MelleaPlugin` extends CPEX's `Plugin` with typed context accessor helpers. Use this **only** when you need cpex lifecycle hooks (`initialize`/`shutdown`) or typed context accessors. For all other cases, prefer the lighter-weight `Plugin` base class.
-
-```python
-class MelleaPlugin(_CpexPlugin):
-    """Advanced base class for Mellea plugins with lifecycle hooks and typed accessors."""
-
-    def get_backend_name(self, context: PluginContext) -> str | None:
-        return context.global_context.state.get("backend_name")
-
-    @property
-    def plugin_config(self) -> dict[str, Any]:
-        return self._config.config or {}
-```
-
-`MelleaPlugin` is **not** part of the primary public API and is not exported from `mellea.plugins`. Users who need it import it directly from `mellea.plugins.base`. CPEX's `initialize()` and `shutdown()` suffice — no new abstract methods are added.
-
-### 3.6 `@hook` Decorator (`mellea/plugins/decorators.py`)
-
-The `@hook` decorator works on both standalone async functions and `Plugin` subclass methods:
-
-```python
-@dataclass(frozen=True)
-class HookMeta:
-    hook_type: str
-    mode: PluginMode = PluginMode.SEQUENTIAL
-    priority: int = 50
-
-def hook(
-    hook_type: str,
-    *,
-    mode: PluginMode = PluginMode.SEQUENTIAL,
-    priority: int = 50,
-) -> Callable:
-    """Register an async function or method as a hook handler."""
-    def decorator(fn):
-        import inspect
-        if not inspect.iscoroutinefunction(fn):
-            raise TypeError(
-                f"@hook-decorated function {fn.__qualname__!r} must be async "
-                f"(defined with 'async def'), got a regular function."
-            )
-        fn._mellea_hook_meta = HookMeta(
-            hook_type=hook_type,
-            mode=mode,
-            priority=priority,
-        )
-        return fn
-    return decorator
-```
-
-The `mode` parameter uses Mellea's `PluginMode` enum, which maps to CPEX's internal `PluginMode`:
-- `PluginMode.SEQUENTIAL`: Hook is awaited inline, executed serially. Violations halt the chain.
-- `PluginMode.CONCURRENT`: Hook is awaited inline, but run concurrently with other `concurrent` hooks. Violations are honored.
-- `PluginMode.AUDIT`: Hook is awaited inline. Violations are logged but execution continues.
-- `PluginMode.FIRE_AND_FORGET`: Hook is dispatched as a background `asyncio.create_task()`. Result is ignored. This is handled by CPEX's `PluginManager` dispatch logic.
-
-When used on a standalone function, the metadata is read at `register()` time or when passed to `start_session(plugins=[...])`. When used on a `Plugin` subclass method, it is discovered during class registration via `_ClassPluginAdapter` introspection.
-
-### 3.7 `PluginMeta` (`mellea/plugins/base.py`)
-
-Plugin metadata is attached to `Plugin` subclasses automatically via `__init_subclass__`:
-
-```python
-@dataclass(frozen=True)
-class PluginMeta:
-    name: str
-    priority: int = 50
-```
-
-When a class inherits from `Plugin` with `name=` and/or `priority=` keyword arguments, `__init_subclass__` stores a `PluginMeta` instance as `cls._mellea_plugin_meta`. On registration, all methods with `_mellea_hook_meta` are discovered and registered as hook handlers bound to the instance. Methods without `@hook` are ignored.
-
-### 3.8 `PluginSet` (`mellea/plugins/pluginset.py`)
-
-A named, composable group of hook functions and plugin instances:
-
-```python
-class PluginSet:
-    def __init__(
-        self,
-        name: str,
-        items: list[Callable | Any | "PluginSet"],
-        *,
-        priority: int | None = None,
-    ):
-        self.name = name
-        self.items = items
-        self.priority = priority
-
-    def flatten(self) -> list[tuple[Callable | Any, int | None]]:
-        """Recursively flatten nested PluginSets into (item, priority_override) pairs."""
-        result = []
-        for item in self.items:
-            if isinstance(item, PluginSet):
-                result.extend(item.flatten())
-            else:
-                result.append((item, self.priority))
-        return result
-```
-
-PluginSets are inert containers — they do not register anything themselves. Registration happens when they are passed to `register()` or `start_session(plugins=[...])`.
-
-### 3.9 `block()` Helper (`mellea/plugins/registry.py`)
-
-Convenience function for returning a blocking result from a hook:
-
-```python
-def block(
-    reason: str,
-    *,
-    code: str = "",
-    description: str = "",
-    details: dict[str, Any] | None = None,
-) -> PluginResult:
-    return PluginResult(
-        continue_processing=False,
-        violation=PluginViolation(
-            reason=reason,
-            description=description or reason,
-            code=code,
-            details=details or {},
-        ),
-    )
-```
-
-
-### 3.10 Hook Payload Policies (`mellea/plugins/policies.py`)
-
-Defines the concrete per-hook-type policies for Mellea hooks. These are injected into the `PluginManager` at initialization time via the `hook_policies` parameter.
-
-```python
-from cpex.framework.hooks.policies import HookPayloadPolicy
-
-MELLEA_HOOK_PAYLOAD_POLICIES: dict[str, HookPayloadPolicy] = {
-    # Session Lifecycle
-    "session_pre_init": HookPayloadPolicy(
-        writable_fields=frozenset({"model_id", "model_options"}),
-    ),
-    # session_post_init, session_reset, session_cleanup: observe-only (no entry)
-
-    # Component Lifecycle
-    "component_pre_create": HookPayloadPolicy(
-        writable_fields=frozenset({
-            "description", "images", "requirements", "icl_examples",
-            "grounding_context", "user_variables", "prefix", "template_id",
-        }),
-    ),
-    "component_post_create": HookPayloadPolicy(
-        writable_fields=frozenset({"component"}),
-    ),
-    "component_pre_execute": HookPayloadPolicy(
-        writable_fields=frozenset({
-            "requirements", "model_options", "format",
-            "strategy", "tool_calls_enabled",
-        }),
-    ),
-    # component_post_success, component_post_error: observe-only
-
-    # Generation Pipeline
-    "generation_pre_call": HookPayloadPolicy(
-        writable_fields=frozenset({"model_options", "format", "tool_calls"}),
-    ),
-    # generation_post_call: observe-only
-    "generation_stream_chunk": HookPayloadPolicy(
-        writable_fields=frozenset({"chunk", "accumulated"}),
-    ),
-
-    # Validation
-    "validation_pre_check": HookPayloadPolicy(
-        writable_fields=frozenset({"requirements", "model_options"}),
-    ),
-    "validation_post_check": HookPayloadPolicy(
-        writable_fields=frozenset({"results", "all_validations_passed"}),
-    ),
-
-    # Sampling Pipeline
-    "sampling_loop_start": HookPayloadPolicy(
-        writable_fields=frozenset({"loop_budget"}),
-    ),
-    # sampling_iteration, sampling_repair, sampling_loop_end: observe-only
-
-    # Tool Execution
-    "tool_pre_invoke": HookPayloadPolicy(
-        writable_fields=frozenset({"model_tool_call"}),
-    ),
-    "tool_post_invoke": HookPayloadPolicy(
-        writable_fields=frozenset({"tool_output"}),
-    ),
-
-    # adapter_*, context_*, error_occurred: observe-only (no entry)
-}
-```
-
-Hooks absent from this table are observe-only. With `DefaultHookPolicy.DENY` (the Mellea default), any modification attempt on an observe-only hook is rejected with a warning log.
-
-## 4. Plugin Manager Integration (`mellea/plugins/manager.py`)
-
-### 4.1 Lazy Singleton Wrapper
-
-The `PluginManager` is lazily initialized on first use (either via `register()` or `start_session(plugins=[...])`). A config path is no longer required — code-first registration may be the only path.
-
-```python
-_plugin_manager: PluginManager | None = None
-_plugins_enabled: bool = False
-_session_tags: dict[str, set[str]] = {}  # session_id -> set of plugin keys
-
-def has_plugins() -> bool:
-    """Fast check: are plugins configured and available?"""
-    return _plugins_enabled
-
-def get_plugin_manager() -> PluginManager | None:
-    """Returns the initialized PluginManager, or None if plugins are not configured."""
-    return _plugin_manager
-
-def ensure_plugin_manager() -> PluginManager:
-    """Lazily initialize the PluginManager if not already created."""
-    global _plugin_manager, _plugins_enabled
-    if _plugin_manager is None:
-        register_mellea_hooks()
-        pm = PluginManager(
-            "",
-            timeout=5,
-            hook_policies=MELLEA_HOOK_PAYLOAD_POLICIES,
-        )
-        _run_async_in_thread(pm.initialize())
-        _plugin_manager = pm
-        _plugins_enabled = True
-    return _plugin_manager
-
-async def initialize_plugins(
-    config_path: str | None = None, *, timeout: float = 5.0
-) -> PluginManager:
-    """Initialize the PluginManager with Mellea hook registrations and optional YAML config."""
-    global _plugin_manager, _plugins_enabled
-    register_mellea_hooks()
-    pm = PluginManager(
-        config_path or "",
-        timeout=int(timeout),
-        hook_policies=MELLEA_HOOK_PAYLOAD_POLICIES,
-    )
-    await pm.initialize()
-    _plugin_manager = pm
-    _plugins_enabled = True
-    return pm
-
-async def shutdown_plugins() -> None:
-    """Shut down the PluginManager."""
-    global _plugin_manager, _plugins_enabled, _session_tags
-    if _plugin_manager is not None:
-        await _plugin_manager.shutdown()
-    _plugin_manager = None
-    _plugins_enabled = False
-    _session_tags.clear()
-```
-
-### 4.2 `invoke_hook()` Central Helper
-
-All hook call sites use this single function. Three layers of no-op guards ensure zero overhead when plugins are not configured:
-
-1. **`_plugins_enabled` boolean** — module-level, a single pointer dereference
-2. **`has_hooks_for(hook_type)`** — skips invocation when no plugin subscribes to this hook
-3. **Returns `(None, original_payload)` immediately** when either guard fails
-
-The wrapper accepts only `backend` and optional `**context_fields` as kwargs. Domain-specific data (context, session, action, etc.) belongs on the typed payload, not on the invocation kwargs.
-
-```python
-async def invoke_hook(
-    hook_type: HookType,
-    payload: MelleaBasePayload,
-    *,
-    backend: Backend | None = None,
-    **context_fields,
-) -> tuple[PluginResult | None, MelleaBasePayload]:
-    """Invoke a hook if plugins are configured.
-
-    Returns (result, possibly-modified-payload).
-    If plugins are not configured, returns (None, original_payload) immediately.
-    """
-    if not _plugins_enabled or _plugin_manager is None:
-        return None, payload
-
-    if not _plugin_manager.has_hooks_for(hook_type.value):
-        return None, payload
-
-    # Payloads are frozen — use model_copy to set dispatch-time fields
-    updates: dict[str, Any] = {"hook": hook_type.value}
-    payload = payload.model_copy(update=updates)
-
-    global_ctx = build_global_context(backend=backend, **context_fields)
-
-    result, _ = await _plugin_manager.invoke_hook(
-        hook_type=hook_type.value,
-        payload=payload,
-        global_context=global_ctx,
-        violations_as_exceptions=False,
-    )
-
-    modified = result.modified_payload if result and result.modified_payload else payload
-    return result, modified
-```
-
-### 4.3 Session-Scoped Registration
-
-`start_session()` in `mellea/stdlib/session.py` gains an optional `plugins` keyword parameter:
-
-```python
-def start_session(
-    ...,
-    plugins: list[Callable | Any | PluginSet] | None = None,
-) -> MelleaSession:
-```
-
-When `plugins` is provided, `start_session()` registers each item with the session's ID via `register(items, session_id=session.id)`. These plugins fire only within this session, in addition to any globally registered plugins. They are automatically deregistered when the session is cleaned up (at `session_cleanup`).
-
-### 4.4 With-Block-Scoped Registration (Context Managers)
-
-Both plugin forms — standalone `@hook` functions and `Plugin` subclass instances — plus `PluginSet` support the Python context manager protocol for block-scoped activation. This is a fourth registration scope complementing global, session-scoped, and YAML-configured plugins.
-
-#### Mechanism
-
-With-block scopes reuse the existing `session_id` tagging infrastructure from section 4.3. Each `with` entry generates a fresh UUID scope ID, registers plugins with that scope ID, and deregisters them by scope ID on exit. The `_session_tags` dict in `manager.py` tracks these scope IDs alongside session IDs — the manager makes no distinction between them at dispatch time.
-
-#### `plugin_scope()` factory (`mellea/plugins/registry.py`)
-
-A `_PluginScope` internal class and `plugin_scope()` public factory serve as the universal entry point, accepting any mix of standalone functions, `Plugin` instances, and `PluginSet`s:
-
-```python
-class _PluginScope:
-    """Context manager that activates a set of plugins for a block of code."""
-
-    def __init__(self, items: list[Callable | Any | PluginSet]) -> None:
-        self._items = items
-        self._scope_id: str | None = None
-
-    def _activate(self) -> None:
-        self._scope_id = str(uuid.uuid4())
-        register(self._items, session_id=self._scope_id)
-
-    def _deactivate(self) -> None:
-        if self._scope_id is not None:
-            deregister_session_plugins(self._scope_id)
-            self._scope_id = None
-
-    def __enter__(self) -> _PluginScope:
-        self._activate()
-        return self
-
-    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
-        self._deactivate()
-
-    async def __aenter__(self) -> _PluginScope:
-        self._activate()
-        return self
-
-    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-        self._deactivate()
-
-
-def plugin_scope(*items: Callable | Any | PluginSet) -> _PluginScope:
-    """Create a context manager that activates the given plugins for a block of code."""
-    return _PluginScope(list(items))
-```
-
-#### `Plugin` subclass instances (`mellea/plugins/base.py`)
-
-The `Plugin` base class provides `__enter__`, `__exit__`, `__aenter__`, `__aexit__` directly. The context-manager methods delegate to module-level helpers:
-
-```python
-def _plugin_cm_enter(self: Any) -> Any:
-    if getattr(self, "_scope_id", None) is not None:
-        meta = getattr(type(self), "_mellea_plugin_meta", None)
-        plugin_name = meta.name if meta else type(self).__name__
-        raise RuntimeError(
-            f"Plugin {plugin_name!r} is already active as a context manager. "
-            "Concurrent or nested reuse of the same instance is not supported; "
-            "create a new instance instead."
-        )
-    self._scope_id = str(uuid.uuid4())
-    register(self, session_id=self._scope_id)
-    return self
-
-
-def _plugin_cm_exit(self: Any, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
-    scope_id = getattr(self, "_scope_id", None)
-    if scope_id is not None:
-        deregister_session_plugins(scope_id)
-        self._scope_id = None
-
-
-class Plugin:
-    def __init_subclass__(cls, *, name: str = "", priority: int = 50, **kwargs):
-        super().__init_subclass__(**kwargs)
-        if name:
-            cls._mellea_plugin_meta = PluginMeta(name=name, priority=priority)
-
-    def __enter__(self) -> Any:
-        return _plugin_cm_enter(self)
-
-    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
-        _plugin_cm_exit(self, exc_type, exc_val, exc_tb)
-
-    async def __aenter__(self) -> Any:
-        return self.__enter__()
-
-    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-        self.__exit__(exc_type, exc_val, exc_tb)
-```
-
-#### `PluginSet` (`mellea/plugins/pluginset.py`)
-
-`PluginSet` gains the same context manager protocol using the same UUID scope ID pattern:
-
-```python
-def __enter__(self) -> PluginSet:
-    if self._scope_id is not None:
-        raise RuntimeError(
-            f"PluginSet {self.name!r} is already active as a context manager. "
-            "Create a new instance to use in a separate scope."
-        )
-    self._scope_id = str(uuid.uuid4())
-    register(self, session_id=self._scope_id)
-    return self
-
-def __exit__(self, exc_type, exc_val, exc_tb) -> None:
-    if self._scope_id is not None:
-        deregister_session_plugins(self._scope_id)
-        self._scope_id = None
-
-async def __aenter__(self) -> PluginSet:
-    return self.__enter__()
-
-async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-    self.__exit__(exc_type, exc_val, exc_tb)
-```
-
-#### `MelleaPlugin` (`mellea/plugins/base.py`)
-
-`MelleaPlugin` also supports the context manager protocol. Because `MelleaPlugin` subclasses CPEX `Plugin` (which owns `__init__`), the scope ID is stored as an instance attribute accessed via `getattr` with a default rather than declared in `__init__`:
-
-```python
-def __enter__(self) -> MelleaPlugin:
-    if getattr(self, "_scope_id", None) is not None:
-        raise RuntimeError(
-            f"MelleaPlugin {self.name!r} is already active as a context manager. "
-            "Create a new instance to use in a separate scope."
-        )
-    self._scope_id = str(uuid.uuid4())
-    register(self, session_id=self._scope_id)
-    return self
-
-def __exit__(self, exc_type, exc_val, exc_tb) -> None:
-    scope_id = getattr(self, "_scope_id", None)
-    if scope_id is not None:
-        deregister_session_plugins(scope_id)
-        self._scope_id = None
-
-async def __aenter__(self) -> MelleaPlugin:
-    return self.__enter__()
-
-async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-    self.__exit__(exc_type, exc_val, exc_tb)
-```
-
-#### Deregistration helper (`mellea/plugins/manager.py`)
-
-A `deregister_session_plugins(scope_id)` function removes all plugins tagged with a given scope ID from the `PluginManager` and cleans up the `_session_tags` entry. This is the same function used by `session_cleanup` to deregister session-scoped plugins:
-
-```python
-def deregister_session_plugins(session_id: str) -> None:
-    """Deregister all plugins associated with a given session or scope ID."""
-    pm = _plugin_manager
-    if pm is None:
-        return
-    plugin_keys = _session_tags.pop(session_id, set())
-    for key in plugin_keys:
-        pm.deregister(key)
-```
-
-#### Public API
-
-`plugin_scope` is exported from `mellea.plugins`:
-
-```python
-from mellea.plugins import plugin_scope
-```
-
-All three forms (`plugin_scope`, `Plugin` subclass instance, `PluginSet`) support both `with` and `async with`. `MelleaPlugin` instances also support the protocol for advanced use cases. The same-instance re-entrant restriction applies to all forms: attempting to re-enter an already-active instance raises `RuntimeError`. Create separate instances to activate the same plugin logic in nested or concurrent scopes.
-
-### 4.5 Dependency Management
-
-Add to `pyproject.toml` under `[project.optional-dependencies]`:
-
-```toml
-plugins = ["contextforge-plugin-framework>=0.1.0"]
-```
-
-All imports in `mellea/plugins/` are guarded with `try/except ImportError`.
-
-### 4.6 Global Registration (`mellea/plugins/registry.py`)
-
-Global registration happens via `register()` at application startup:
-
-```python
-def register(
-    items: Callable | Any | PluginSet | list[Callable | Any | PluginSet],
-    *,
-    session_id: str | None = None,
-) -> None:
-    """Register plugins globally or for a specific session.
-
-    When session_id is None, plugins are global (fire for all invocations).
-    When session_id is provided, plugins fire only within that session.
-
-    Accepts standalone @hook functions, Plugin subclass instances,
-    MelleaPlugin instances, PluginSets, or lists thereof.
-    """
-    pm = ensure_plugin_manager()
-
-    if not isinstance(items, list):
-        items = [items]
-
-    for item in items:
-        if isinstance(item, PluginSet):
-            for flattened_item, priority_override in item.flatten():
-                _register_single(pm, flattened_item, session_id, priority_override)
-        else:
-            _register_single(pm, item, session_id, None)
-
-
-def _register_single(
-    pm: PluginManager,
-    item: Callable | Any,
-    session_id: str | None,
-    priority_override: int | None,
-) -> None:
-    """Register a single hook function or plugin instance.
-
-    - Standalone functions with _mellea_hook_meta: wrapped in _FunctionHookAdapter
-    - Plugin subclass instances (with _mellea_plugin_meta): methods with _mellea_hook_meta discovered and wrapped in _ClassPluginAdapter
-    - MelleaPlugin instances: registered directly with CPEX
-    """
-    ...
-```
-
-A `_FunctionHookAdapter` internal class wraps a standalone `@hook`-decorated function into a CPEX `Plugin` for the `PluginManager`. A `_ClassPluginAdapter` wraps `Plugin` subclass instances similarly, discovering all `@hook`-decorated methods:
-
-```python
-class _FunctionHookAdapter(Plugin):
-    """Adapts a standalone @hook-decorated function into a CPEX Plugin."""
-
-    def __init__(self, fn: Callable, session_id: str | None = None):
-        meta = fn._mellea_hook_meta
-        config = PluginConfig(
-            name=fn.__qualname__,
-            kind=fn.__module__ + "." + fn.__qualname__,
-            hooks=[meta.hook_type],
-            mode=_map_mode(meta.mode),
-            priority=meta.priority,
-        )
-        super().__init__(config)
-        self._fn = fn
-        self._session_id = session_id
-
-    async def initialize(self):
-        pass
-
-    async def shutdown(self):
-        pass
-```
-
-## 5. Hook Call Sites
-
-**Session context threading**: All `invoke_hook` calls pass `session_id` when operating within a session. For the functional API path, `session_id` is `None` and only globally registered plugins are dispatched. Session-scoped plugins (registered via `start_session(plugins=[...])`) fire only when the dispatch context matches their session ID.
-
-### 5.1 Session Lifecycle
-
-**File**: `mellea/stdlib/session.py`
-
-`start_session()` gains the `plugins` parameter for session-scoped registration:
-
-```python
-def start_session(
-    backend_name: ... = "ollama",
-    model_id: ... = IBM_GRANITE_4_MICRO_3B,
-    ctx: Context | None = None,
-    *,
-    model_options: dict | None = None,
-    plugins: list[Callable | Any | PluginSet] | None = None,
-    **backend_kwargs,
-) -> MelleaSession:
-```
-
-Session-scoped plugins passed via `plugins=[...]` are registered with this session's ID and deregistered at `session_cleanup`.
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `session_pre_init` | `start_session()`, before `backend_class(model_id, ...)` (~L163) | Before backend instantiation | Supports payload modification: updated `model_options`, `model_id`. Violation blocks session creation. |
-| `session_post_init` | `start_session()`, after `MelleaSession(backend, ctx)` (~L191) | Session fully created | Observability-only. |
-| `session_reset` | `MelleaSession.reset()`, before `self.ctx.reset_to_new()` (~L269) | Context about to reset | Observability-only. |
-| `session_cleanup` | `MelleaSession.cleanup()`, at top of method (~L272) | Before teardown | Observability-only. Must not raise. Deregisters session-scoped plugins. |
-
-**Sync/async bridge**: These are sync methods. Use `_run_async_in_thread(invoke_hook(...))` from `mellea/helpers/__init__.py`.
-
-**Payload examples**:
-
-```python
-# session_pre_init
-SessionPreInitPayload(
-    backend_name=backend_name,
-    model_id=str(model_id),
-    model_options=model_options,
-    context_type=type(ctx).__name__ if ctx else "SimpleContext",
-)
-
-# session_post_init
-SessionPostInitPayload(session=session)
-
-# session_cleanup
-SessionCleanupPayload(
-    context=self.ctx,
-    interaction_count=len(self.ctx.as_list()),
-)
-```
-
-### 5.2 Component Lifecycle
-
-**Files**: `mellea/stdlib/components/instruction.py` (`Instruction.__init__`), `mellea/stdlib/components/chat.py` (`Message.__init__`), `mellea/stdlib/functional.py` (`aact()`)
-
-> **`component_pre_create` and `component_post_create` are deferred.** These hooks are not implemented in this iteration. See the discussion note at the end of this section.
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `component_pre_create` | *(deferred — not implemented)* | — | — |
-| `component_post_create` | *(deferred — not implemented)* | — | — |
-| `component_pre_execute` | `aact()`, at top before strategy branch (~L492) | Before generation begins | Supports `model_options`, `requirements`, `strategy`, `format`, `tool_calls_enabled` modification. Violation blocks execution. |
-| `component_post_success` | `aact()`, after result in both branches (~L506, ~L534) | Successful execution | Observability-only. |
-| `component_post_error` | `aact()`, in new `try/except Exception` wrapping the body | Exception during execution | Observability-only. Always re-raises after hook. |
-
-**Key changes to `aact()`**:
-- Add `time.monotonic()` at entry for latency measurement
-- Wrap body (lines ~492–546) in `try/except Exception`
-- `except` handler: fire `component_post_error` then `error_occurred`, then re-raise
-- Insert `component_post_success` before each `return` path
-
-> **Discussion — why `component_pre_create` and `component_post_create` are deferred:**
->
-> `Component` is currently a `Protocol`, not an abstract base class. Mellea has no ownership over component initialization: there are no guarantees about when or how subclass `__init__` methods run, and there is no single interception point that covers all `Component` implementations. Calling hooks manually inside `Instruction.__init__` and `Message.__init__` works for those classes, but it is fragile (any user-defined `Component` subclass is invisible) and requires per-class boilerplate.
->
-> If `Component` were refactored to an abstract base class, the ABC could wrap `__init__` and fire these hooks generically for every subclass. Until that refactoring is decided, these hook types are excluded from the active hook system: they are not in `HookType`, have no payload classes, no registered call sites, and no tests. The hook names and payload designs remain documented here for when the refactoring occurs. Use `component_pre_execute` for pre-execution interception in the meantime.
-
-**Sync/async bridge for PRE/POST_CREATE** *(relevant if/when these hooks are implemented)*: `Instruction.__init__` and `Message.__init__` are synchronous. Use `_run_async_in_thread(invoke_hook(...))` from `mellea/helpers/__init__.py`. `backend` and `context` are `None`.
-
-**Payload examples**:
-
-```python
-# component_pre_create (Instruction case — inside Instruction.__init__, before attrs)
-ComponentPreCreatePayload(
-    component_type="Instruction",
-    description=description,
-    images=images,
-    requirements=requirements,
-    icl_examples=icl_examples,
-    grounding_context=grounding_context,
-    user_variables=user_variables,
-    prefix=prefix,
-)
-
-# component_pre_execute
-ComponentPreExecutePayload(
-    component_type=type(action).__name__,
-    action=action,
-    context=context,
-    requirements=requirements or [],
-    model_options=model_options or {},
-    format=format,
-    strategy_name=type(strategy).__name__ if strategy else None,
-    tool_calls_enabled=tool_calls,
-)
-
-# component_post_success
-ComponentPostSuccessPayload(
-    component_type=type(action).__name__,
-    action=action,
-    result=result,
-    context_before=context,
-    context_after=new_ctx,
-    generate_log=result._generate_log,
-    sampling_results=sampling_result if strategy else None,
-    latency_ms=int((time.monotonic() - t0) * 1000),
-)
-```
-
-### 5.3 Generation Pipeline
-
-**Approach**: `Backend.__init_subclass__` in `mellea/core/backend.py` automatically wraps `generate_from_context` in every concrete backend subclass that defines it. This avoids modifying all backend implementations (Ollama, OpenAI, HuggingFace, vLLM, Watsonx, LiteLLM) individually. No separate `generate_from_context_with_hooks()` method is added.
-
-The wrapper is injected at class definition time and applies to all current and future `Backend` subclasses transparently.
-
-**`generation_post_call` timing**: The post-call hook fires via an `_on_computed` callback set on the returned `ModelOutputThunk`:
-
-- **Lazy MOTs** (normal path): `_on_computed` fires inside `ModelOutputThunk.astream` after `post_process` completes, when the value is fully materialized. `latency_ms` reflects the full wall-clock time from the `generate_from_context` call to value availability. `model_output` replacement is supported — the original MOT's output fields are updated in-place via `_copy_from`.
-- **Already-computed MOTs** (e.g. cached responses or test mocks): `astream` returns early without firing `_on_computed`, so the hook is fired inline before the wrapper returns. `model_output` replacement is supported on this path.
-
-**Writable fields applied from `generation_pre_call`**: `model_options`, `format`, `tool_calls`.
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `generation_pre_call` | `Backend.__init_subclass__` wrapper, before `generate_from_context` delegate | Before LLM API call | Supports `model_options`, `format`, `tool_calls` modification. Violation blocks (e.g., token budget exceeded). |
-| `generation_post_call` | Via `_on_computed` callback on `ModelOutputThunk` (lazy path), or inline before return (already-computed path) | After output fully materialized | Observability-only. |
-| `generation_stream_chunk` | **Deferred** — requires hooks in `ModelOutputThunk.astream()` streaming path | Per streaming chunk | Fire-and-forget to avoid slowing streaming. |
-
-### 5.4 Validation
-
-**File**: `mellea/stdlib/functional.py`, in `avalidate()` (~L699–753)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `validation_pre_check` | After `reqs` prepared (~L713), before validation loop | Before validation | Supports `requirements` list modification (inject/filter). |
-| `validation_post_check` | After all validations, before `return rvs` (~L753) | After validation | Supports `results` override. Primarily observability. |
-
-**Payload examples**:
-
-```python
-# validation_pre_check
-ValidationPreCheckPayload(
-    requirements=reqs,
-    target=output,
-    context=context,
-    model_options=model_options or {},
-)
-
-# validation_post_check
-ValidationPostCheckPayload(
-    requirements=reqs,
-    results=rvs,
-    all_validations_passed=all(bool(r) for r in rvs),
-    passed_count=sum(1 for r in rvs if bool(r)),
-    failed_count=sum(1 for r in rvs if not bool(r)),
-)
-```
-
-### 5.5 Sampling Pipeline
-
-**File**: `mellea/stdlib/sampling/base.py`, in `BaseSamplingStrategy.sample()` (~L94–256)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `sampling_loop_start` | Before `for` loop (~L157) | Loop begins | Supports `loop_budget` modification. |
-| `sampling_iteration` | Inside loop, after validation (~L192) | Each iteration | Observability. Violation can force early termination. |
-| `sampling_repair` | After `self.repair()` call (~L224) | Repair invoked | Observability-only. |
-| `sampling_loop_end` | Before return in success (~L209) and failure (~L249) paths | Loop ends | Observability-only. |
-
-**Additional change**: Add `_get_repair_type() -> str` method to each sampling strategy subclass:
-
-| Strategy Class | Repair Type |
-|---|---|
-| `RejectionSamplingStrategy` | `"identity"` |
-| `RepairTemplateStrategy` | `"template_repair"` |
-| `MultiTurnStrategy` | `"multi_turn_message"` |
-| `SOFAISamplingStrategy` | `"sofai_feedback"` |
-
-**Payload examples**:
-
-```python
-# sampling_loop_start
-SamplingLoopStartPayload(
-    strategy_name=type(self).__name__,
-    action=action,
-    context=context,
-    requirements=reqs,
-    loop_budget=self.loop_budget,
-)
-
-# sampling_repair
-SamplingRepairPayload(
-    repair_type=self._get_repair_type(),
-    failed_action=sampled_actions[-1],
-    failed_result=sampled_results[-1],
-    failed_validations=sampled_scores[-1],
-    repair_action=next_action,
-    repair_context=next_context,
-    repair_iteration=loop_count,
-)
-```
-
-### 5.6 Tool Execution
-
-**File**: `mellea/stdlib/functional.py`, in the `_call_tools()` helper (~L904)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `tool_pre_invoke` | Before `tool.call_func()` (~L917) | Before tool call | Supports `model_tool_call` replacement. Violation blocks tool call. |
-| `tool_post_invoke` | After `tool.call_func()` (~L919) | After tool call | Supports `tool_output` modification. Primarily observability. |
-
-### 5.7 Backend Adapter Operations
-
-**Files**: `mellea/backends/openai.py` (`load_adapter` ~L907, `unload_adapter` ~L944), `mellea/backends/huggingface.py` (`load_adapter` ~L1192, `unload_adapter` ~L1224)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `adapter_pre_load` | Start of `load_adapter()` | Before adapter load | Violation prevents loading. |
-| `adapter_post_load` | End of `load_adapter()` | After adapter loaded | Observability. |
-| `adapter_pre_unload` | Start of `unload_adapter()` | Before adapter unload | Violation prevents unloading. |
-| `adapter_post_unload` | End of `unload_adapter()` | After adapter unloaded | Observability. |
-
-**Sync/async bridge**: Adapter methods are synchronous. Use `_run_async_in_thread(invoke_hook(...))`.
-
-### 5.8 Context Operations
-
-**Files**: `mellea/stdlib/context.py` (`ChatContext.add()` ~L17, `SimpleContext.add()` ~L31)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `context_update` | After `from_previous()` in `add()` | Context appended | Observability-only (context is immutable). |
-| `context_prune` | `ChatContext.view_for_generation()` when window truncates | Context windowed | Observability-only. |
-
-**Performance note**: `context_update` fires on every context addition, which is frequent. The `has_hooks_for()` guard is critical — when no plugin subscribes to `context_update`, the overhead is a single boolean check.
-
-### 5.9 Error Handling
-
-**File**: `mellea/stdlib/functional.py` (utility function callable from any error path)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `error_occurred` | `aact()` except block + utility `fire_error_hook()` | Unrecoverable error | Observability-only. Must never raise from own execution. |
-
-**Fires for**: `ComponentParseError`, backend communication errors, assertion violations, unhandled exceptions during component execution, validation, or tool invocation.
-
-**Does NOT fire for**: Validation failures within sampling loops (handled by `sampling_iteration`/`sampling_repair`), controlled `PluginViolation` blocks (those are policy decisions, not errors).
-
-**Utility function**:
-
-```python
-async def fire_error_hook(
-    error: Exception,
-    location: str,
-    *,
-    session=None, backend=None, context=None, action=None,
-) -> None:
-    """Fire the error_occurred hook. Never raises."""
-    try:
-        payload = ErrorOccurredPayload(
-            error=error,
-            error_type=type(error).__name__,
-            error_location=location,
-            stack_trace=traceback.format_exc(),
-            recoverable=False,
-            action=action,
-        )
-        await invoke_hook(
-            HookType.ERROR_OCCURRED, payload,
-            session=session, backend=backend, context=context,
-            violations_as_exceptions=False,
-        )
-    except Exception:
-        pass  # Never propagate errors from error hook
-```
-
-
-## 8. Modifications Summary
-
-| File | Changes |
-|------|---------|
-| `mellea/stdlib/components/instruction.py` | `COMPONENT_PRE_CREATE` (before attr assignment) and `COMPONENT_POST_CREATE` (after attr assignment) hooks in `Instruction.__init__` |
-| `mellea/stdlib/components/chat.py` | Same PRE/POST_CREATE hooks in `Message.__init__` |
-| `mellea/stdlib/functional.py` | Component execute/success/error hooks in `aact()`; validation and tool hooks |
-| `mellea/stdlib/session.py` | 4 session hooks + `plugins` param on `start_session()` + session-scoped plugin registration/deregistration |
-| `mellea/stdlib/sampling/base.py` | 4 sampling hooks |
-| `mellea/core/backend.py` | `Backend.__init_subclass__` wraps `generate_from_context` in all subclasses, injecting `GENERATION_PRE_CALL` and `GENERATION_POST_CALL` hooks; post-call hook fires via `_on_computed` callback on the returned `ModelOutputThunk` |
-| `mellea/stdlib/context.py` | 2 context operation hooks in `ChatContext.add()`, `SimpleContext.add()` |
-| `mellea/backends/openai.py` | 4 adapter hooks in `load_adapter()` / `unload_adapter()` |
-| `mellea/backends/huggingface.py` | 4 adapter hooks in `load_adapter()` / `unload_adapter()` |
-| `pyproject.toml` | Add `plugins` optional dependency + `plugins` test marker |
-| `mellea/plugins/__init__.py` (new) | Public API: `Plugin`, `hook`, `block`, `PluginSet`, `register`, `plugin_scope`, `PluginMode`, `HookType`, `PluginResult`, `PluginViolationError` |
-| `mellea/plugins/decorators.py` (new) | `@hook` decorator implementation, `HookMeta` |
-| `mellea/plugins/pluginset.py` (new) | `PluginSet` class with `flatten()` for recursive expansion; context manager protocol for with-block scoping |
-| `mellea/plugins/registry.py` (new) | `register()`, `block()`, `_FunctionHookAdapter`, `_ClassPluginAdapter`, `_register_single()`; `_PluginScope` class and `plugin_scope()` factory for with-block scoping |
-| `mellea/plugins/manager.py` (new) | Singleton wrapper, `invoke_hook()` with session-tag filtering, `ensure_plugin_manager()`; `deregister_session_plugins()` for scope cleanup (used by both session and with-block exit) |
-| `mellea/plugins/base.py` (new) | `Plugin` base class (lightweight, no cpex dep) with `__init_subclass__` and context manager protocol; `PluginMeta`; `MelleaBasePayload` (frozen); `MelleaPlugin` (advanced cpex-based class); `PluginViolationError` |
-| `mellea/plugins/types.py` (new) | `HookType` enum, `PluginMode` enum, `register_mellea_hooks()` |
-| `mellea/plugins/policies.py` (new) | `MELLEA_HOOK_PAYLOAD_POLICIES` table, injected into `PluginManager` at init |
-| `mellea/plugins/context.py` (new) | `build_global_context()` factory |
-| `mellea/plugins/hooks/` (new) | Hook payload dataclasses (session, component, generation, etc.) |
-| `test/plugins/` (new) | Tests for plugins subpackage |
-
-> Note: + update docs and add examples.
diff --git a/docs/docs/core-concept/plugins.mdx b/docs/docs/core-concept/plugins.mdx
deleted file mode 100644
index a7543624e..000000000
--- a/docs/docs/core-concept/plugins.mdx
+++ /dev/null
@@ -1,970 +0,0 @@
----
-title: "Plugins & Hooks"
-description: "Intercept and customize Mellea's execution pipeline with plugins — enforce policies, add observability, and transform payloads at well-defined hook points."
-sidebarTitle: "Plugins & Hooks"
----
-
-## Overview — What Are Plugins?
-
-Plugins let you intercept and modify Mellea's execution at well-defined points without changing library code. Whether you need to enforce token budgets, redact PII, log every generation call, or block unsafe tool invocations, plugins give you fine-grained control over the entire pipeline.
-
-When an event fires during Mellea's execution (e.g., "about to call the LLM" or "tool invocation requested"), the plugin system:
-
-1. **Dispatches a typed payload** describing the event to all registered plugins
-2. **Runs plugins in priority order**, grouped by execution mode
-3. **Returns a result** — continue unchanged, continue with a modified payload, or block execution entirely
-
-Plugins are organized into six hook categories:
-
-- **Session Lifecycle** — session init, reset, and cleanup (`session_pre_init`, `session_post_init`, `session_reset`, `session_cleanup`)
-- **Component Lifecycle** — before and after component execution (`component_pre_execute`, `component_post_success`, `component_post_error`)
-- **Generation Pipeline** — before and after LLM calls (`generation_pre_call`, `generation_post_call`)
-- **Validation** — before and after requirement checks (`validation_pre_check`, `validation_post_check`)
-- **Sampling Pipeline** — sampling loop events (`sampling_loop_start`, `sampling_iteration`, `sampling_repair`, `sampling_loop_end`)
-- **Tool Execution** — before and after tool invocations (`tool_pre_invoke`, `tool_post_invoke`)
-
-<Note>
-Plugins require the hooks extra: `pip install 'mellea[hooks]'`
-</Note>
-
----
-
-## Quick Start — Your First Plugin in 5 Minutes
-
-Here is a complete, working plugin in under 20 lines of user code. It logs a one-line summary before every LLM call.
-
-```python
-## file: https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/quickstart.py
-import logging
-
-from mellea import start_session
-from mellea.plugins import HookType, hook, register
-
-log = logging.getLogger("quickstart")
-
-@hook(HookType.GENERATION_PRE_CALL)
-async def log_generation(payload, ctx):
-    """Log a one-line summary before every LLM call."""
-    action_preview = str(payload.action)[:80].replace("\n", " ")
-    log.info("[log_generation] About to call LLM: %r", action_preview)
-
-register(log_generation)
-
-with start_session() as m:
-    result = m.instruct("What is the capital of France?")
-    log.info("Result: %s", result)
-```
-
-Every hook function receives two arguments:
-
-- **`payload`** — A frozen, typed object containing all the data relevant to this hook point. You can read any field but cannot mutate it directly.
-- **`ctx`** — Read-only context with session metadata (backend name, model ID, etc.).
-
-A hook returns either `None` (continue unchanged) or a `PluginResult` (to modify the payload or block execution). The quickstart hook returns `None` implicitly, as it observes without interfering.
-
-See the [full example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/quickstart.py).
-
----
-
-## Standalone Function Hooks
-
-The `@hook` decorator turns any async function into a plugin. This is the simplest and most common way to extend Mellea.
-
-### Anatomy of a Hook Function
-
-```python
-from mellea.plugins import HookType, PluginMode, hook
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def my_hook(payload, ctx):
-    # payload: frozen, typed — read any field
-    # ctx: read-only metadata (backend, model_id, etc.)
-    # return None to pass through, or a PluginResult to modify/block
-    pass
-```
-
-- **`hook_type`** — Which event to listen for (e.g., `HookType.GENERATION_PRE_CALL`).
-- **`mode`** — How the hook executes. Default: `PluginMode.SEQUENTIAL`. See [Execution Modes Deep Dive](#execution-modes-deep-dive).
-- **`priority`** — Lower numbers run first. Default: `50`.
-
-### Execution Modes at a Glance
-
-| Mode | Serial/Parallel | Can Block | Can Modify | Errors Propagated |
-|------|:-:|:-:|:-:|:-:|
-| `SEQUENTIAL` | Serial | Yes | Yes | Yes |
-| `TRANSFORM` | Serial | No | Yes | Yes |
-| `AUDIT` | Serial | No | No | Yes |
-| `CONCURRENT` | Parallel | Yes | No | Yes |
-| `FIRE_AND_FORGET` | Background | No | No | No |
-
-### Blocking Execution
-
-Use `block()` to reject an operation. The caller receives a `PluginViolationError`.
-
-```python
-from mellea.plugins import HookType, PluginMode, block, hook
-
-TOKEN_BUDGET = 4000
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_token_budget(payload, ctx):
-    estimated = estimate_tokens(payload)
-    if estimated > TOKEN_BUDGET:
-        return block(
-            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
-            code="TOKEN_BUDGET_001",
-            details={"estimated": estimated, "budget": TOKEN_BUDGET},
-        )
-```
-
-`block()` accepts:
-- **`reason`** (required) — Human-readable explanation.
-- **`code`** — Machine-readable error code for programmatic handling.
-- **`details`** — A dict with additional structured data.
-
-The caller catches the violation as a `PluginViolationError` with `.reason`, `.code`, `.hook_type`, and `.plugin_name` attributes.
-
-### Modifying Payloads
-
-Payloads are frozen Pydantic models. Direct mutation raises `FrozenModelError`. Instead, use the `modify()` helper:
-
-```python
-from mellea.plugins import HookType, PluginMode, hook, modify
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def cap_max_tokens(payload, ctx):
-    opts = dict(payload.model_options or {})
-    if opts.get("max_tokens", float("inf")) > 256:
-        opts["max_tokens"] = 256
-        return modify(payload, model_options=opts)
-```
-
-For more control, use `model_copy(update={...})` directly and return a `PluginResult`:
-
-```python
-from mellea.plugins import PluginResult
-
-modified = payload.model_copy(update={"model_options": {**payload.model_options, "max_tokens": 256}})
-return PluginResult(continue_processing=True, modified_payload=modified)
-```
-
-### Payload Policies
-
-Each hook type declares which fields are writable. Changes to non-writable fields are **silently discarded** by the framework. For example, `generation_pre_call` allows modifying `model_options`, `format`, and `tool_calls`, but not `action` or `context`. This ensures plugins cannot make changes the framework hasn't sanctioned.
-
-See the [full policy table](#hook-payload-policy-table) in the Hook Types Reference.
-
-See the [standalone hooks example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/standalone_hooks.py) and the [payload modification example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/payload_modification.py).
-
----
-
-## Class-Based Plugins
-
-When you need shared state across multiple hooks (e.g., a redaction counter, a rate limiter's token bucket), group them in a `Plugin` subclass.
-
-### When to Use a Class vs. Standalone Functions
-
-- **Standalone functions** — Best for single-concern hooks that don't share state.
-- **Class-based plugins** — Best when multiple hooks operate on a shared concern and need access to the same instance state.
-
-### Defining a Plugin
-
-```python
-from mellea.plugins import Plugin, hook, modify, HookType
-
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    def __init__(self, patterns=None):
-        self.patterns = patterns or [r"\d{3}-\d{2}-\d{4}"]
-        self.redaction_count = 0
-
-    @hook(HookType.COMPONENT_PRE_EXECUTE)
-    async def redact_input(self, payload, ctx):
-        """Scan input for PII and redact before it reaches the LLM."""
-        # self.patterns, self.redaction_count available here
-        ...
-
-    @hook(HookType.GENERATION_POST_CALL)
-    async def redact_output(self, payload, ctx):
-        """Scan LLM output for PII and redact before returning."""
-        ...
-```
-
-Key syntax:
-- Inherit from `Plugin` and set `name` and `priority` as class keyword arguments.
-- Decorate methods with `@hook(HookType.XXX)`. The `self` parameter gives access to shared state.
-- The class `priority` is the default for all methods. Override per-method with `@hook(HookType.XXX, priority=M)`.
-
-### Priority Resolution
-
-Priority is resolved in this order (highest precedence first):
-
-1. **`PluginSet(priority=N)`** override — applies to all items in the set
-2. **`@hook(priority=M)`** on the method — overrides the class default
-3. **`Plugin(priority=N)`** class keyword — default for all methods
-4. **`50`** — the global default if nothing else is set
-
-### Registering a Plugin
-
-```python
-from mellea.plugins import register
-
-redactor = PIIRedactor()
-register(redactor)
-```
-
-See the [full PII redaction example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/class_plugin.py).
-
----
-
-## Registration & Scoping
-
-Plugins can be activated at three levels. Each level determines when hooks fire and when they are cleaned up.
-
-### Global Scope
-
-Register at module level, fires for every session and every functional API call.
-
-```python
-from mellea.plugins import register
-
-register(log_generation)          # single hook
-register([hook_a, hook_b])        # multiple hooks
-register(redactor)                # Plugin instance
-register(observability_set)       # PluginSet
-```
-
-Remove with `unregister()`:
-
-```python
-from mellea.plugins import unregister
-
-unregister(log_generation)
-```
-
-### Session Scope
-
-Pass plugins to `start_session()`, fires only within that session.
-
-```python
-from mellea import start_session
-
-with start_session(plugins=[enforce_content_policy, log_component]) as m:
-    result = m.instruct("Explain photosynthesis.")
-# plugins deregistered when session exits
-```
-
-### With-Block Scope
-
-Activate plugins for a specific block of code with guaranteed cleanup.
-
-**`plugin_scope()`:**
-
-```python
-from mellea.plugins import plugin_scope
-
-with plugin_scope(log_request, log_response, content_guard):
-    result = m.instruct("Name the planets.")
-# all three deregistered here
-```
-
-**`Plugin` instance as context manager:**
-
-```python
-guard = ContentGuard()
-with guard:
-    result = m.instruct("What is the boiling point of water?")
-# guard deregistered here
-```
-
-**`PluginSet` as context manager:**
-
-```python
-with observability:
-    result = m.instruct("What is the capital of France?")
-# observability hooks deregistered here
-```
-
-All three forms support `async with` for async code:
-
-```python
-async with plugin_scope(log_request, ContentGuard()):
-    result = await m.ainstruct("Describe the solar system.")
-```
-
-### Nesting
-
-Scopes stack cleanly. Each exit deregisters only its own plugins.
-
-```python
-with plugin_scope(log_request):               # outer scope
-    with ContentGuard() as guard:             # inner scope
-        result = m.instruct("...")            # log_request + guard active
-    result = m.instruct("...")                # only log_request active
-# no plugins active
-```
-
-### Cleanup Guarantee
-
-Plugins are always deregistered on scope exit, even if the block raises an exception. There is no resource leak on error.
-
-### Re-Entrant Restriction
-
-The same instance cannot be active in two overlapping scopes. Create separate instances if you need parallel or nested activation:
-
-```python
-guard1 = ContentGuard()
-guard2 = ContentGuard()  # separate instance
-
-with guard1:
-    with guard2:  # OK — different instances
-        ...
-```
-
-See the [scoped plugins example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/plugin_scoped.py) and the [session-scoped example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/session_scoped.py).
-
----
-
-## PluginSets — Composing Plugins
-
-A `PluginSet` groups related hooks and plugins into a reusable, named bundle. Use it to organize plugins by concern (security, observability, compliance) and register or scope them as a unit.
-
-### Creating a PluginSet
-
-```python
-from mellea.plugins import PluginSet
-
-security = PluginSet("security", [enforce_token_budget, enforce_description_length])
-observability = PluginSet("observability", [trace_session, trace_component, trace_cleanup])
-```
-
-A `PluginSet` accepts any mix of standalone `@hook` functions, `Plugin` instances, or nested `PluginSet`s.
-
-### Registering
-
-```python
-# Global
-register(observability)
-
-# Session-scoped
-with start_session(plugins=[security]) as m:
-    ...
-
-# With-block
-with security:
-    ...
-```
-
-### Priority Override
-
-`PluginSet(priority=N)` overrides the priority of all contained items, including nested sets:
-
-```python
-# All items in this set run at priority 1, regardless of their own priority settings
-critical = PluginSet("critical", [hook_a, hook_b, nested_set], priority=1)
-```
-
-### Real-World Pattern
-
-Register observability globally (fires everywhere) and security per-session (fires only where needed):
-
-```python
-register(observability)  # global
-
-with start_session(plugins=[security]) as m:
-    # both security and observability active
-    result = m.instruct("Name three prime numbers.")
-
-with start_session() as m:
-    # only observability active
-    result = m.instruct("What is 2 + 2?")
-```
-
-See the [full PluginSet composition example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/plugin_set_composition.py).
-
----
-
-## Hook Types Reference
-
-This section is a comprehensive reference for every implemented hook type. For each hook, you'll find when it fires, what payload fields are available, which fields are writable, and typical use cases.
-
-### Session Lifecycle
-
-#### `session_pre_init`
-
-**Fires:** Immediately when `start_session()` is called, before backend initialization.
-
-**Payload fields:** `backend_name`, `model_id`, `model_options`, `context_type`
-
-**Writable fields:** `model_id`, `model_options`
-
-**Use cases:**
-- Enforcing model usage restrictions
-- Injecting default model options
-
-```python
-@hook(HookType.SESSION_PRE_INIT)
-async def enforce_model_policy(payload, ctx):
-    if "gpt-4" in str(payload.model_id):
-        return block("GPT-4 usage not permitted", code="MODEL_POLICY")
-```
-
-#### `session_post_init`
-
-**Fires:** After the session is fully initialized, before any operations.
-
-**Payload fields:** `session` (the `MelleaSession` instance)
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Initializing telemetry for the session
-- Logging session configuration
-
-#### `session_reset`
-
-**Fires:** When `session.reset()` is called to clear context.
-
-**Payload fields:** `previous_context`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Preserving audit trails before reset
-- Resetting plugin-specific state
-
-#### `session_cleanup`
-
-**Fires:** When the session closes (via `close()`, `cleanup()`, or context manager exit).
-
-**Payload fields:** `context`, `interaction_count`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Flushing telemetry buffers
-- Aggregating session metrics
-
----
-
-### Component Lifecycle
-
-#### `component_pre_execute`
-
-**Fires:** Before any component is executed via `aact()`. This is the primary interception point for all generation requests.
-
-**Payload fields:** `component_type`, `action`, `context_view`, `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled`
-
-**Writable fields:** `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled`
-
-**Use cases:**
-- Policy enforcement on generation requests
-- Injecting or modifying model options
-- Content filtering and authorization checks
-- Routing to different sampling strategies
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=5)
-async def enforce_content_policy(payload, ctx):
-    desc = str(payload.action._description).lower()
-    if "financial advice" in desc:
-        return block("Restricted topic", code="CONTENT_001")
-```
-
-#### `component_post_success`
-
-**Fires:** After successful component execution.
-
-**Payload fields:** `component_type`, `action`, `result`, `context_before`, `context_after`, `generate_log`, `sampling_results`, `latency_ms`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Latency and metrics collection
-- Audit logging
-
-```python
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
-async def log_latency(payload, ctx):
-    log.info("component=%s latency=%dms", payload.component_type, payload.latency_ms)
-```
-
-#### `component_post_error`
-
-**Fires:** When component execution fails with an exception.
-
-**Payload fields:** `component_type`, `action`, `error`, `error_type`, `stack_trace`, `context`, `model_options`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Error logging and alerting
-- Failure analysis
-
----
-
-### Generation Pipeline
-
-#### `generation_pre_call`
-
-**Fires:** Just before the backend transmits data to the LLM API.
-
-**Payload fields:** `action`, `context`, `model_options`, `format`, `tool_calls`
-
-**Writable fields:** `model_options`, `format`, `tool_calls`
-
-**Use cases:**
-- Token budget enforcement
-- Prompt injection detection
-- Last-mile model option adjustments
-
-```python
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def cap_tokens(payload, ctx):
-    opts = dict(payload.model_options or {})
-    opts["max_tokens"] = min(opts.get("max_tokens", 4096), 256)
-    return modify(payload, model_options=opts)
-```
-
-#### `generation_post_call`
-
-**Fires:** After the LLM response is fully materialized (`model_output.value` is available).
-
-**Payload fields:** `prompt`, `model_output`, `latency_ms`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Output logging and inspection
-- Response caching
-- Quality metrics and hallucination detection
-
----
-
-### Validation
-
-#### `validation_pre_check`
-
-**Fires:** Before running requirement validation.
-
-**Payload fields:** `requirements`, `target`, `context`, `model_options`
-
-**Writable fields:** `requirements`, `model_options`
-
-**Use cases:**
-- Injecting additional requirements
-- Overriding validation model options
-
-#### `validation_post_check`
-
-**Fires:** After all validations complete.
-
-**Payload fields:** `requirements`, `results`, `all_validations_passed`, `passed_count`, `failed_count`, `generate_logs`
-
-**Writable fields:** `results`, `all_validations_passed`
-
-**Use cases:**
-- Logging validation outcomes
-- Overriding validation results
-- Triggering alerts on failures
-
----
-
-### Sampling Pipeline
-
-#### `sampling_loop_start`
-
-**Fires:** When a sampling strategy begins execution.
-
-**Payload fields:** `strategy_name`, `action`, `context`, `requirements`, `loop_budget`
-
-**Writable fields:** `loop_budget`
-
-**Use cases:**
-- Dynamically adjusting the iteration budget
-- Logging sampling configuration
-
-#### `sampling_iteration`
-
-**Fires:** After each sampling attempt.
-
-**Payload fields:** `iteration`, `action`, `result`, `validation_results`, `all_validations_passed`, `valid_count`, `total_count`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Iteration-level metrics
-- Debugging sampling behavior
-
-#### `sampling_repair`
-
-**Fires:** When repair is invoked after a validation failure.
-
-**Payload fields:** `repair_type`, `failed_action`, `failed_result`, `failed_validations`, `repair_action`, `repair_context`, `repair_iteration`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Analyzing failure patterns
-- Logging repair events
-
-#### `sampling_loop_end`
-
-**Fires:** When sampling completes (success or failure).
-
-**Payload fields:** `success`, `iterations_used`, `final_result`, `final_action`, `final_context`, `failure_reason`, `all_results`, `all_validations`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Sampling effectiveness metrics
-- Cost tracking
-
----
-
-### Tool Execution
-
-#### `tool_pre_invoke`
-
-**Fires:** Before invoking a tool from LLM output.
-
-**Payload fields:** `model_tool_call` (contains `name`, `args`, `callable`)
-
-**Writable fields:** `model_tool_call`
-
-**Use cases:**
-- Tool authorization (allow-listing)
-- Argument validation and sanitization
-
-```python
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
-async def enforce_tool_allowlist(payload, ctx):
-    if payload.model_tool_call.name not in ALLOWED_TOOLS:
-        return block(f"Tool '{payload.model_tool_call.name}' not permitted", code="TOOL_NOT_ALLOWED")
-```
-
-#### `tool_post_invoke`
-
-**Fires:** After tool execution completes.
-
-**Payload fields:** `model_tool_call`, `tool_output`, `tool_message`, `execution_time_ms`, `success`, `error`
-
-**Writable fields:** `tool_output`
-
-**Use cases:**
-- Audit logging of tool calls
-- Output transformation
-- Error handling
-
----
-
-### Hook Payload Policy Table
-
-This table summarizes which fields are writable for each hook type. Changes to non-writable fields are silently discarded.
-
-| Hook Point | Writable Fields |
-|---|---|
-| `session_pre_init` | `model_id`, `model_options` |
-| `session_post_init` | *(observe-only)* |
-| `session_reset` | *(observe-only)* |
-| `session_cleanup` | *(observe-only)* |
-| `component_pre_execute` | `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled` |
-| `component_post_success` | *(observe-only)* |
-| `component_post_error` | *(observe-only)* |
-| `generation_pre_call` | `model_options`, `format`, `tool_calls` |
-| `generation_post_call` | *(observe-only)* |
-| `validation_pre_check` | `requirements`, `model_options` |
-| `validation_post_check` | `results`, `all_validations_passed` |
-| `sampling_loop_start` | `loop_budget` |
-| `sampling_iteration` | *(observe-only)* |
-| `sampling_repair` | *(observe-only)* |
-| `sampling_loop_end` | *(observe-only)* |
-| `tool_pre_invoke` | `model_tool_call` |
-| `tool_post_invoke` | `tool_output` |
-
-<Warning>
-Only `SEQUENTIAL` and `TRANSFORM` modes can modify payloads. `AUDIT`, `CONCURRENT`, and `FIRE_AND_FORGET` modes have their modifications silently discarded regardless of the policy table.
-</Warning>
-
----
-
-## Execution Modes Deep Dive
-
-All hooks for a given hook type are sorted by priority, then dispatched in groups by execution mode. The execution order is always:
-
-**SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET**
-
-### SEQUENTIAL (default)
-
-Serial, chained execution. Each hook receives the payload from the prior hook. Can both **block** and **modify**. This is the default mode, use it when you need full control over the pipeline.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_policy(payload, ctx):
-    # Can block:
-    if is_unsafe(payload):
-        return block("Unsafe content", code="UNSAFE")
-    # Can modify:
-    return modify(payload, model_options={"temperature": 0.1})
-```
-
-### TRANSFORM
-
-Serial, chained execution after all SEQUENTIAL hooks. Can **modify** but **cannot block** (`block()` calls are suppressed with a warning). Use for data transformation (PII redaction, prompt rewriting) where you want to guarantee the pipeline continues.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.TRANSFORM, priority=20)
-async def enrich_options(payload, ctx):
-    opts = dict(payload.model_options or {})
-    opts.setdefault("temperature", 0.7)
-    return modify(payload, model_options=opts)
-```
-
-### AUDIT
-
-Awaited inline after TRANSFORM. Observe-only: payload modifications are **discarded** and violations are **logged but do not block**. Use for shadow policies, canary deployments, and gradual policy rollout.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT, priority=30)
-async def shadow_policy(payload, ctx):
-    # This block() is logged but does NOT stop execution
-    return block("Would block in production", code="SHADOW_001")
-```
-
-### CONCURRENT
-
-Dispatched in parallel after AUDIT. Can **block** (fail-fast on first blocking result) but **cannot modify**; modifications are discarded to avoid non-deterministic last-writer-wins races. Use for independent validation checks that benefit from parallel execution.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.CONCURRENT, priority=40)
-async def rate_limit_check(payload, ctx):
-    if await is_rate_limited(ctx):
-        return block("Rate limit exceeded", code="RATE_LIMIT")
-```
-
-### FIRE_AND_FORGET
-
-Dispatched via `asyncio.create_task()` after all other phases. Receives a copy-on-write snapshot of the payload. Cannot modify or block. Exceptions are logged but never propagated. Use for telemetry, async logging, and side-effects that must not slow down the pipeline.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=50)
-async def send_telemetry(payload, ctx):
-    await telemetry_client.send({"component": payload.component_type})
-```
-
-<Note>
-The FIRE_AND_FORGET log output may appear after the main result is printed. This is expected behavior, as these hooks run in the background.
-</Note>
-
-### Chaining
-
-In `SEQUENTIAL` and `TRANSFORM` modes, when multiple plugins modify the same payload, modifications are composed. Plugin B sees the output of Plugin A (after policy filtering). This enables pipelines like:
-
-1. Plugin A caps `max_tokens` to 256
-2. Plugin B (seeing the capped value) adds a `temperature` default
-3. The final payload has both modifications applied
-
-### Error Handling
-
-- **`SEQUENTIAL`, `TRANSFORM`, `AUDIT`, `CONCURRENT`, `FIRE_AND_FORGET`** —  exceptions are logged and swallowed. They never affect the pipeline.
-- **`block()`** — this is intentional control flow, not an error. It raises a `PluginViolationError` to the caller.
-
-See the [execution modes example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/execution_modes.py).
-
----
-
-## Tool Hooks — Securing Tool Calls
-
-The `tool_pre_invoke` and `tool_post_invoke` hooks give you fine-grained control over tool-call governance. See [Chapter 11 of the tutorial](/core-concept/interoperability) for tool calling basics.
-
-### Tool Allow-Listing
-
-Block any tool not on an explicit approved list:
-
-```python
-ALLOWED_TOOLS = frozenset({"get_weather", "calculator"})
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
-async def enforce_tool_allowlist(payload, ctx):
-    tool_name = payload.model_tool_call.name
-    if tool_name not in ALLOWED_TOOLS:
-        return block(f"Tool '{tool_name}' is not permitted", code="TOOL_NOT_ALLOWED")
-```
-
-### Argument Validation
-
-Inspect and reject unsafe arguments before invocation:
-
-```python
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=10)
-async def validate_calculator_args(payload, ctx):
-    if payload.model_tool_call.name == "calculator":
-        expr = payload.model_tool_call.args.get("expression", "")
-        if not set(expr).issubset(set("0123456789 +-*/(). ")):
-            return block("Unsafe calculator expression", code="UNSAFE_EXPRESSION")
-```
-
-### Argument Sanitization
-
-Auto-fix arguments instead of blocking (a repair pattern):
-
-```python
-import dataclasses
-from mellea.plugins import PluginResult
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=15)
-async def sanitize_args(payload, ctx):
-    mtc = payload.model_tool_call
-    if mtc.name == "get_weather":
-        location = mtc.args.get("location", "").strip().title()
-        if location != mtc.args.get("location"):
-            new_call = dataclasses.replace(mtc, args={**mtc.args, "location": location})
-            modified = payload.model_copy(update={"model_tool_call": new_call})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-```
-
-### Audit Logging
-
-Fire-and-forget logging of every tool call for audit trails:
-
-```python
-@hook(HookType.TOOL_POST_INVOKE, mode=PluginMode.FIRE_AND_FORGET)
-async def audit_tool_calls(payload, ctx):
-    status = "OK" if payload.success else "ERROR"
-    log.info("tool=%r status=%s latency=%dms", payload.model_tool_call.name, status, payload.execution_time_ms)
-```
-
-### Composing Tool Hooks
-
-Group tool security hooks into a `PluginSet` for clean per-session registration:
-
-```python
-tool_security = PluginSet("tool-security", [enforce_tool_allowlist, validate_calculator_args, audit_tool_calls])
-
-with start_session(plugins=[tool_security]) as m:
-    result = m.instruct("What's the weather in Boston?", tool_calls=True)
-```
-
-See the [full tool hooks example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/tool_hooks.py).
-
----
-
-## Patterns & Best Practices
-
-### Observability Stack
-
-Combine session tracing, component latency, and generation logging, all using `FIRE_AND_FORGET` or `AUDIT` mode so they never slow down the pipeline:
-
-```python
-observability = PluginSet("observability", [
-    trace_session_start,     # AUDIT — session_post_init
-    trace_component_success, # AUDIT — component_post_success
-    trace_session_end,       # AUDIT — session_cleanup
-])
-register(observability)  # global — fires for all sessions
-```
-
-### Layered Security
-
-Stack enforcement across scopes:
-
-- **Global:** Token budget enforcement (`SEQUENTIAL`)
-- **Session-scoped:** Content policy for sensitive sessions
-- **With-block:** Feature flags for specific operations
-
-```python
-register(enforce_token_budget)  # global
-
-with start_session(plugins=[content_policy]) as m:
-    with plugin_scope(feature_flag_hook):
-        result = m.instruct("...")
-```
-
-### Input/Output Guardrails
-
-Block PII on input (`component_pre_execute`) and redact PII from output (`generation_post_call`) using a class-based plugin with shared state:
-
-```python
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    @hook(HookType.COMPONENT_PRE_EXECUTE)
-    async def reject_pii_input(self, payload, ctx): ...
-
-    @hook(HookType.GENERATION_POST_CALL)
-    async def redact_output(self, payload, ctx): ...
-```
-
-### Graceful Degradation with AUDIT Mode
-
-Deploy a new policy in `AUDIT` mode first, where violations are logged but do not block. Monitor the logs. When you're confident, promote to `SEQUENTIAL`:
-
-```python
-# Phase 1: shadow mode — log violations without blocking
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT)
-async def new_content_policy(payload, ctx):
-    if is_prohibited(payload):
-        return block("Would block", code="NEW_POLICY_001")
-
-# Phase 2: enforce — change mode to SEQUENTIAL when ready
-```
-
-### Testing Plugins
-
-You can unit-test hook functions without running a full Mellea session. Construct a payload mock, call the function directly, and assert the result:
-
-```python
-from unittest.mock import MagicMock
-
-async def test_blocks_long_description():
-    payload = MagicMock()
-    payload.action._description = "x" * 1000
-    ctx = MagicMock()
-
-    result = await enforce_description_length(payload, ctx)
-
-    assert result is not None
-    assert result.continue_processing is False
-    assert result.violation.code == "DESC_TOO_LONG"
-```
-
-See the [full testing example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/testing_plugins.py).
-
-### Idempotent Lifecycle Hooks
-
-If you use the advanced `MelleaPlugin` base class (which provides `initialize()` and `shutdown()` callbacks), make them idempotent, as they may be called once per `@hook` method on your plugin.
-
----
-
-## API Reference
-
-All public symbols are available from a single import:
-
-```python
-from mellea.plugins import (
-    HookType,            # Enum of all hook types (e.g., GENERATION_PRE_CALL)
-    Plugin,              # Base class for class-based plugins
-    PluginMode,          # Execution mode enum (SEQUENTIAL, TRANSFORM, AUDIT, CONCURRENT, FIRE_AND_FORGET)
-    PluginResult,        # Return type for hooks that modify or block
-    PluginSet,           # Named group of hooks/plugins for composition
-    PluginViolationError,# Exception raised when a hook blocks execution
-    block,               # Helper to create a blocking PluginResult
-    hook,                # Decorator to register an async function as a hook handler
-    modify,              # Helper to create a modifying PluginResult
-    plugin_scope,        # Context manager for with-block scoped activation
-    register,            # Register hooks/plugins globally or per-session
-    unregister,          # Remove globally-registered hooks/plugins
-)
-```
-
-| Symbol | Description |
-|---|---|
-| `@hook(hook_type, *, mode, priority)` | Decorator that marks an async function as a hook handler |
-| `Plugin` | Base class for multi-hook plugins with shared state. Set `name` and `priority` via class keywords |
-| `PluginSet(name, items, *, priority)` | Groups hooks, plugins, and nested sets into a reusable bundle |
-| `register(items, *, session_id)` | Register hooks/plugins. `session_id=None` for global scope |
-| `unregister(items)` | Remove globally-registered items |
-| `plugin_scope(*items)` | Context manager that registers on enter, deregisters on exit |
-| `block(reason, *, code, details)` | Create a blocking `PluginResult` |
-| `modify(payload, **field_updates)` | Create a modifying `PluginResult` via `model_copy` |
-| `HookType` | Enum with all 17 hook types |
-| `PluginMode` | Enum: `SEQUENTIAL`, `TRANSFORM`, `AUDIT`, `CONCURRENT`, `FIRE_AND_FORGET` |
-| `PluginResult` | Typed result with `continue_processing`, `modified_payload`, and `violation` |
-| `PluginViolationError` | Exception with `.reason`, `.code`, `.hook_type`, `.plugin_name` |
diff --git a/docs/docs/docs.json b/docs/docs/docs.json
index 5446e8516..d8cc91963 100644
--- a/docs/docs/docs.json
+++ b/docs/docs/docs.json
@@ -135,8 +135,11 @@
           {
             "group": "Troubleshooting",
             "pages": [
-              "troubleshooting/common-errors",
-              "troubleshooting/faq"
+              "core-concept/tuning",
+              "core-concept/adapters",
+              "core-concept/alora",
+              "core-concept/interoperability",
+              "core-concept/plugins"
             ]
           }
         ]
diff --git a/docs/examples/m_decompose/README.md b/docs/examples/m_decompose/README.md
new file mode 100644
index 000000000..838a2325f
--- /dev/null
+++ b/docs/examples/m_decompose/README.md
@@ -0,0 +1,102 @@
+# m_decompose
+
+This automatic pipeline demonstrates **task decomposition and execution** built with *Mellea generative programs*.
+
+Instead of solving a complex task with a single prompt, the system first **decomposes the task into subtasks**, then executes them sequentially through a assembled pipeline.
+
+This pattern improves reasoning quality, interpretability, and modularity in LLM-powered systems.
+
+---
+
+# Overview
+
+Many complex tasks contain multiple reasoning steps.  
+The `m_decompose` pipeline handles this by splitting the task into smaller units.
+
+```
+User Request
+     ↓
+Task Decomposition
+     ↓
+Subtasks
+     ↓
+Task Execution
+     ↓
+Final Result
+```
+
+Rather than writing a large prompt, the workflow uses **generative modules and reusable prompts**.
+
+---
+
+# Directory
+
+```
+m_decompose/
+├── decompose.py
+├── pipeline.py
+├── prompt_modules
+└── README.md
+```
+
+**decompose.py**
+
+Generates the refined subtasks from the user request.
+
+**pipeline.py**
+
+Runs the full workflow:
+
+1. decompose the task  
+2. execute subtasks  
+3. aggregate results
+
+**prompt_modules**
+
+Reusable prompt components used by the pipeline.
+
+**m_decomp_result_v1.py.jinja2**
+
+Template used to format the final output.
+
+---
+
+# Quick Start
+
+Example usage:
+
+```python
+from mellea.cli.decompose.pipeline import decompose, DecompBackend
+import json
+
+query = """I will visit Grand Canyon National Park for 3 days in early May. Please create a travel itinerary that includes major scenic viewpoints and short hiking trails. The daily walking distance should stay under 6 miles, and each day should include at least one sunset or sunrise viewpoint."""
+
+result = decompose(
+    task_prompt=query,
+    model_id="mistralai/Mistral-Small-3.2-24B-Instruct-2506",
+    backend=DecompBackend.openai,
+    backend_endpoint="http://localhost:8000/v1",
+    backend_api_key="EMPTY",
+)
+
+print(json.dumps(result, indent=2, ensure_ascii=False))
+```
+
+
+The pipeline then executes each step and produces the final answer.
+
+---
+
+# What This Example Shows
+
+This example highlights three key ideas:
+
+- **Task Decomposition and Execution** — analyze complex problems into smaller planning and execution steps.  
+- **Generative Mellea Program** — conduct LLM workflows as an programmatic pipeline instead of single call.  
+- **Instruction Modular** — separate instruction design from execution logic using reusable modules.
+
+---
+
+# Summary
+
+`m_decompose` shows how to build **LLM pipelines** using task decomposition.
diff --git a/docs/examples/m_decompose/decompose_using_cli.sh b/docs/examples/m_decompose/decompose_using_cli.sh
old mode 100644
new mode 100755
index 169596b56..c9b05b9e6
--- a/docs/examples/m_decompose/decompose_using_cli.sh
+++ b/docs/examples/m_decompose/decompose_using_cli.sh
@@ -1 +1,7 @@
-m decompose run --out-dir ./ --prompt-file ./docs/examples/m_decomposeexample_decompose_prompt.txt
\ No newline at end of file
+#MODEL_ID=granite3.3
+#MODEL_ID=granite4
+
+MODEL_ID=qwen2.5:7b
+
+m decompose run --model-id $MODEL_ID  --out-dir ./ --prompt-file example.txt
+
diff --git a/docs/examples/m_decompose/example.txt b/docs/examples/m_decompose/example.txt
new file mode 100644
index 000000000..f6c2f4af5
--- /dev/null
+++ b/docs/examples/m_decompose/example.txt
@@ -0,0 +1,3 @@
+I will visit Grand Canyon National Park for 3 days in early May. Please create a travel itinerary that includes major scenic viewpoints and short hiking trails. The daily walking distance should stay under 6 miles, and each day should include at least one sunset or sunrise viewpoint.
+I am preparing my U.S. federal tax return for 2025. My income sources include W-2 salary, house rental, and investment dividends. Please help estimate my federal tax liability and suitable which types of program of TurboTax for possible deductions. Assume I can take the standard/itemized deduction, and the calculation should assume I live in Virginia.
+We are building an AI assistant for meeting productivity that can summarize meetings and generate follow-up tasks. Please propose 5 core product features that would provide the most value to users. The features should be feasible and simple enough for a MVP, and each feature should be under 60 words.
\ No newline at end of file
diff --git a/docs/examples/m_decompose/example_decompose_prompt.txt b/docs/examples/m_decompose/example_decompose_prompt.txt
deleted file mode 100644
index 41336c1b7..000000000
--- a/docs/examples/m_decompose/example_decompose_prompt.txt
+++ /dev/null
@@ -1,53 +0,0 @@
-I need you to help me plan, organize, and execute a comprehensive corporate team-building
-event for our company with 100-300 employees that will strengthen team cohesion,
-improve cross-departmental collaboration, boost morale, and create lasting memories,
-and I need you to create a complete event strategy document that includes detailed planning
-timelines starting 6 months before the event with weekly milestones, budget breakdowns for venue
-rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities
-at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total
-estimated budget of $50,000-125,000, and I need you to design a marketing and communication
-strategy with save-the-date announcements 4 months in advance, formal invitations 2 months before,
-weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile
-event app, and I need you to develop a venue selection process evaluating 10 venues based on
-capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities,
-WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness,
-and I need you to design a detailed event schedule from 8:00 AM to 8:00 PM including
-registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech,
-icebreaker activities at 9:30-10:30 AM including human bingo and speed networking,
-morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication,
-and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges
-at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition,
-and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment
-at 5:30-8:00 PM, and I need you to create icebreaker plans with 15 options including
-human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls,
-and I need you to develop team formation strategy with diverse mix of departments and
-seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences,
-and team assignments 2 weeks before with names and colors, and I need you to design workshop
-content with leadership case studies, innovation brainstorming, communication exercises,
-and wellness meditation, and I need you to create catering plan with breakfast coffee station
-and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with
-three entree choices and full bar, and I need you to develop activity logistics with equipment
-lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation
-schedules, and I need you to create transportation plan with charter buses, parking management,
-shuttle service, and contingency plans, and I need you to design registration process with online
-portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training,
-and I need you to develop safety plan with insurance, first aid stations, evacuation procedures,
-weather contingencies, food safety with allergen labeling, security personnel, and incident
-reporting, and I need you to create vendor management strategy with selection criteria, contracts,
-payment schedules, and evaluation forms, and I need you to design technology plan with event
-app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services,
-live streaming, and tech support, and I need you to develop decoration strategy with signage,
-team colors, photo backdrops, and sustainable options, and I need you to create entertainment
-plan with live band or DJ, emcee, interactive activities, and evening games, and I need you to
-design prize strategy with team prizes at $500, $300, and $200, individual awards, participation
-gifts, and raffle prizes, and I need you to create post-event evaluation with participant
-survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation,
-impact assessment, and thank you communications, and I need you to design accessibility plan
-with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive
-team formation, and I need you to develop sustainability plan with eco-friendly venue, local
-catering, reusable serving ware, digital communications, recyclable decorations, and
-waste management, and I need you to create contingency planning for weather emergencies,
-vendor cancellations, technology failures, medical emergencies, and budget overruns,
-and ensure all planning follows best practices, creates memorable experiences,
-accommodates diverse needs, stays within budget, prioritizes safety, incorporates sustainable
-practices, leverages technology, builds excitement, and measures success.
\ No newline at end of file
diff --git a/docs/examples/m_decompose/m_decomp_result.json b/docs/examples/m_decompose/m_decomp_result.json
deleted file mode 100644
index 88e917071..000000000
--- a/docs/examples/m_decompose/m_decomp_result.json
+++ /dev/null
@@ -1,688 +0,0 @@
-{
-  "original_task_prompt": "I need you to help me plan, organize, and execute a comprehensive corporate team-building event for our company with 100-300 employees that will strengthen team cohesion, improve cross-departmental collaboration, boost morale, and create lasting memories, and I need you to create a complete event strategy document that includes detailed planning timelines starting 6 months before the event with weekly milestones, budget breakdowns for venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000, and I need you to design a marketing and communication strategy with save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app, and I need you to develop a venue selection process evaluating 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness, and I need you to design a detailed event schedule from 8:00 AM to 8:00 PM including registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM, and I need you to create icebreaker plans with 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls, and I need you to develop team formation strategy with diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors, and I need you to design workshop content with leadership case studies, innovation brainstorming, communication exercises, and wellness meditation, and I need you to create catering plan with breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar, and I need you to develop activity logistics with equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules, and I need you to create transportation plan with charter buses, parking management, shuttle service, and contingency plans, and I need you to design registration process with online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training, and I need you to develop safety plan with insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting, and I need you to create vendor management strategy with selection criteria, contracts, payment schedules, and evaluation forms, and I need you to design technology plan with event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support, and I need you to develop decoration strategy with signage, team colors, photo backdrops, and sustainable options, and I need you to create entertainment plan with live band or DJ, emcee, interactive activities, and evening games, and I need you to design prize strategy with team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes, and I need you to create post-event evaluation with participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications, and I need you to design accessibility plan with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation, and I need you to develop sustainability plan with eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management, and I need you to create contingency planning for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns, and ensure all planning follows best practices, creates memorable experiences, accommodates diverse needs, stays within budget, prioritizes safety, incorporates sustainable practices, leverages technology, builds excitement, and measures success.",
-  "subtask_list": [
-    "1. Gather all necessary information about the company, event requirements, and constraints. -",
-    "2. Create a detailed planning timeline starting 6 months before the event with weekly milestones. -",
-    "3. Develop a budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget. -",
-    "4. Design a marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods. -",
-    "5. Develop a venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness. -",
-    "6. Design a detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment. -",
-    "7. Create a list of 15 icebreaker activities with detailed plans. -",
-    "8. Develop a team formation strategy with diverse mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event. -",
-    "9. Design content for leadership, innovation, communication, and wellness workshops. -",
-    "10. Create a detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options. -",
-    "11. Develop logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules. -",
-    "12. Create a transportation plan with charter buses, parking management, shuttle service, and contingency plans. -",
-    "13. Design a registration process with online portal, on-site check-in, name tags, welcome packets, and staff training. -",
-    "14. Develop a comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting. -",
-    "15. Create a vendor management strategy with selection criteria, contracts, payment schedules, and evaluation forms. -",
-    "16. Design a technology plan with event app, AV equipment, WiFi, photography services, live streaming, and tech support. -",
-    "17. Develop a decoration strategy with signage, team colors, photo backdrops, and sustainable options. -",
-    "18. Create an entertainment plan with live band or DJ, emcee, interactive activities, and evening games. -",
-    "19. Design a prize strategy with team prizes, individual awards, participation gifts, and raffle prizes. -",
-    "20. Develop a post-event evaluation plan with participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications. -",
-    "21. Create an accessibility plan with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation. -",
-    "22. Develop a sustainability plan with eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management. -",
-    "23. Create a contingency plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns. -",
-    "24. Compile all the information into a comprehensive event strategy document. -"
-  ],
-  "identified_constraints": [
-    {
-      "constraint": "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-      "validation_strategy": "code"
-    },
-    {
-      "constraint": "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-      "validation_strategy": "llm"
-    }
-  ],
-  "subtasks": [
-    {
-      "subtask": "1. Gather all necessary information about the company, event requirements, and constraints. -",
-      "tag": "INFORMATION_GATHERING",
-      "constraints": [
-        {
-          "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-          "validation_strategy": "code"
-        },
-        {
-          "constraint": "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "To gather all necessary information about the company, event requirements, and constraints, follow these steps:\n\n1. **Company Information**:\n   - **Company Size**: Determine the number of employees (100-300).\n   - **Departments**: Identify the different departments within the company.\n   - **Employee Demographics**: Gather information about the diversity of employees, including age, seniority, and roles.\n   - **Company Culture**: Understand the company's values, mission, and current team dynamics.\n\n2. **Event Requirements**:\n   - **Objectives**: Clearly define the goals of the event, such as strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.\n   - **Event Type**: Specify the type of event (e.g., corporate team-building event).\n   - **Duration**: Determine the start and end times of the event (8:00 AM to 8:00 PM).\n   - **Key Activities**: List the key activities planned for the event, such as registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment.\n\n3. **Event Constraints**:\n   - **Budget**: Identify the budget constraints for different aspects of the event, including venue rental ($15,000-25,000), catering ($75-125 per person), entertainment and activities ($10,000-20,000), transportation ($3,000-8,000), technology ($5,000-10,000), and total estimated budget ($50,000-125,000).\n   - **Venue Requirements**: Specify the venue requirements, such as capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness.\n   - **Safety and Accessibility**: Ensure the event follows best practices for safety, accessibility, and sustainability.\n   - **Technology**: Identify the technology requirements, such as event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support.\n\n4. **Additional Information**:\n   - **Marketing and Communication**: Gather information about the marketing and communication strategy, including save-the-date announcements, formal invitations, reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app.\n   - **Team Formation**: Understand the team formation strategy, including diverse mix of departments and seniority, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before the event.\n   - **Workshop Content**: Identify the content for leadership, innovation, communication, and wellness workshops.\n   - **Catering Plan**: Gather information about the catering plan, including breakfast, lunch, afternoon snacks, and dinner options.\n   - **Activity Logistics**: Understand the logistics for all planned activities, including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.\n   - **Transportation Plan**: Gather information about the transportation plan, including charter buses, parking management, shuttle service, and contingency plans.\n   - **Registration Process**: Understand the registration process, including online portal, on-site check-in, name tags, welcome packets, and staff training.\n   - **Safety Plan**: Gather information about the safety plan, including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting.\n   - **Vendor Management**: Understand the vendor management strategy, including selection criteria, contracts, payment schedules, and evaluation forms.\n   - **Technology Plan**: Gather information about the technology plan, including event app, AV equipment, WiFi, photography services, live streaming, and tech support.\n   - **Decoration Strategy**: Understand the decoration strategy, including signage, team colors, photo backdrops, and sustainable options.\n   - **Entertainment Plan**: Gather information about the entertainment plan, including live band or DJ, emcee, interactive activities, and evening games.\n   - **Prize Strategy**: Understand the prize strategy, including team prizes, individual awards, participation gifts, and raffle prizes.\n   - **Post-Event Evaluation**: Gather information about the post-event evaluation plan, including participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications.\n   - **Accessibility Plan**: Understand the accessibility plan, including ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation.\n   - **Sustainability Plan**: Gather information about the sustainability plan, including eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management.\n   - **Contingency Planning**: Understand the contingency planning for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns.\n\n5. **Documentation**:\n   - Compile all the gathered information into a comprehensive document that will serve as the basis for the event strategy document.\n\nBy following these steps, you will gather all necessary information about the company, event requirements, and constraints to ensure a successful and well-organized corporate team-building event.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "2. Create a detailed planning timeline starting 6 months before the event with weekly milestones. -",
-      "tag": "PLANNING_TIMELINE",
-      "constraints": [
-        {
-          "constraint": "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a detailed planning timeline starting 6 months before the event with weekly milestones. Follow these steps to accomplish your task:\n\nFirst, review the gathered information about the company, event requirements, and constraints from the previous step:\n<gathered_information>\n{{INFORMATION_GATHERING}}\n</gathered_information>\n\nNext, consider the key components of the event that need to be planned, such as venue selection, marketing and communication, team formation, workshops, catering, activities, transportation, registration, safety, vendor management, technology, decorations, entertainment, prizes, post-event evaluation, accessibility, sustainability, and contingency planning.\n\nBreak down the planning process into weekly milestones starting 6 months before the event. Ensure that each milestone is specific, measurable, achievable, relevant, and time-bound (SMART).\n\nHere is a suggested structure for the planning timeline:\n\n**6 Months Before the Event:**\n- Finalize event objectives and key performance indicators (KPIs).\n- Establish the event budget and allocate funds to different categories.\n- Develop a high-level event plan and timeline.\n- Identify and assemble the event planning team.\n- Begin researching and evaluating potential venues.\n\n**5 Months Before the Event:**\n- Select and book the venue.\n- Develop a detailed event schedule and share it with key stakeholders.\n- Create a marketing and communication strategy.\n- Begin designing the event branding and promotional materials.\n- Start planning the team formation strategy.\n\n**4 Months Before the Event:**\n- Send save-the-date announcements to employees.\n- Finalize the event schedule and share it with vendors and participants.\n- Develop the workshop content and identify facilitators.\n- Create a catering plan and send out a pre-event survey for dietary restrictions.\n- Begin planning the icebreaker activities.\n\n**3 Months Before the Event:**\n- Send formal invitations to employees.\n- Finalize the team formation strategy and assign teams.\n- Develop the activity logistics and equipment lists.\n- Create a transportation plan and arrange charter buses if necessary.\n- Design the registration process and set up the online portal.\n\n**2 Months Before the Event:**\n- Send weekly reminder emails to employees.\n- Finalize the catering plan and confirm menu options.\n- Develop the safety plan and evacuation procedures.\n- Create a vendor management strategy and finalize contracts.\n- Design the technology plan and arrange AV equipment.\n\n**1 Month Before the Event:**\n- Send team assignments and welcome packets to employees.\n- Finalize the decoration strategy and order necessary materials.\n- Develop the entertainment plan and book a live band or DJ.\n- Create a prize strategy and order prizes.\n- Finalize the post-event evaluation plan.\n\n**2 Weeks Before the Event:**\n- Conduct a final walkthrough of the venue.\n- Train staff on the registration process and safety protocols.\n- Finalize the accessibility plan and make necessary accommodations.\n- Develop a sustainability plan and implement eco-friendly practices.\n- Create a contingency plan for potential emergencies.\n\n**1 Week Before the Event:**\n- Send a final reminder email to employees.\n- Confirm all vendor arrangements and payment schedules.\n- Finalize the event schedule and share it with participants.\n- Prepare the welcome packets and name tags.\n- Conduct a final review of the event strategy document.\n\nEnsure that the planning timeline is comprehensive and covers all aspects of the event. The timeline should be flexible and allow for adjustments as needed.\n\nFinally, write the detailed planning timeline starting 6 months before the event with weekly milestones. Your answer will serve as basis for the next steps.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "3. Develop a budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget. -",
-      "tag": "BUDGET_BREAKDOWN",
-      "constraints": [
-        {
-          "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-          "validation_strategy": "code"
-        }
-      ],
-      "prompt_template": "Your task is to develop a detailed budget breakdown for the corporate team-building event. This budget should include estimates for venue rental, catering, entertainment, transportation, technology, and the total estimated budget.\n\nTo accomplish this, follow these steps:\n\n1. **Review Gathered Information**:\n   First, review the information gathered about the company, event requirements, and constraints. This information will help you understand the scope and specific needs of the event:\n   <gathered_information>\n   {{INFORMATION_GATHERING}}\n   </gathered_information>\n\n2. **Understand Budget Constraints**:\n   The event has specific budget constraints for each category:\n   - **Venue Rental**: $15,000 - $25,000\n   - **Catering**: $75 - $125 per person\n   - **Entertainment and Activities**: $10,000 - $20,000\n   - **Transportation**: $3,000 - $8,000\n   - **Technology**: $5,000 - $10,000\n   - **Total Estimated Budget**: $50,000 - $125,000\n\n3. **Calculate Catering Costs**:\n   The catering cost is per person. The event will have 100-300 employees attending. Calculate the total catering cost based on the number of attendees and the per-person cost.\n\n4. **Estimate Other Costs**:\n   Provide a detailed estimate for each of the remaining categories (venue rental, entertainment, transportation, and technology) within the specified budget ranges.\n\n5. **Summarize Total Estimated Budget**:\n   Add up the estimated costs for each category to provide a total estimated budget for the event. Ensure that the total estimated budget falls within the specified range of $50,000 - $125,000.\n\n6. **Provide Detailed Breakdown**:\n   Present the budget breakdown in a clear and organized manner. Include the following information for each category:\n   - **Category**: Name of the budget category (e.g., Venue Rental)\n   - **Estimated Cost**: The estimated cost for that category\n   - **Notes**: Any additional notes or considerations for that category\n\n7. **Review and Adjust**:\n   Review your budget breakdown to ensure it is accurate and aligns with the event's requirements and constraints. Make any necessary adjustments to ensure the total estimated budget is within the specified range.\n\n8. **Final Answer**:\n   Provide the detailed budget breakdown as your final answer. Ensure it is clear, concise, and adheres to the specified budget constraints.\n\nExample Format:\n- **Venue Rental**: $20,000\n  - Notes: Includes rental fee for the venue and basic setup.\n- **Catering**: $25,000\n  - Notes: Based on 200 attendees at $125 per person.\n- **Entertainment and Activities**: $15,000\n  - Notes: Includes costs for activities and entertainment.\n- **Transportation**: $5,000\n  - Notes: Includes charter buses and shuttle service.\n- **Technology**: $7,000\n  - Notes: Includes AV equipment, WiFi, and tech support.\n- **Total Estimated Budget**: $72,000",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "4. Design a marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods. -",
-      "tag": "MARKETING_STRATEGY",
-      "constraints": [
-        {
-          "constraint": "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a comprehensive marketing and communication strategy for a corporate team-building event. This strategy should ensure effective engagement and participation from all employees. Follow these steps to accomplish your task:\n\n1. **Review Gathered Information**:\n   Begin by reviewing the information gathered about the company, event requirements, and constraints. This will help you tailor the marketing and communication strategy to the specific needs and preferences of the employees:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Understand the Planning Timeline**:\n   Familiarize yourself with the planning timeline to ensure that all marketing and communication activities are scheduled appropriately. This will help you create a timeline for save-the-date announcements, formal invitations, reminder emails, and internal campaigns:\n   <planning_timeline>\n   {{PLANNING_TIMELINE}}\n   </planning_timeline>\n\n3. **Budget Considerations**:\n   Consider the budget breakdown to ensure that the marketing and communication strategy is cost-effective and aligns with the overall budget for the event:\n   <budget_breakdown>\n   {{BUDGET_BREAKDOWN}}\n   </budget_breakdown>\n\n4. **Develop the Marketing and Communication Strategy**:\n   Create a detailed marketing and communication strategy that includes the following components:\n\n   - **Save-the-Date Announcements**:\n     Plan to send save-the-date announcements 4 months in advance. These announcements should be sent via email and should include the event date, purpose, and a brief overview of what to expect.\n\n   - **Formal Invitations**:\n     Design formal invitations to be sent 2 months before the event. These invitations should include detailed information about the event schedule, dress code, and any specific instructions or requirements.\n\n   - **Weekly Reminder Emails**:\n     Schedule weekly reminder emails leading up to the event. These emails should provide updates, reminders, and any additional information that may be relevant to the participants.\n\n   - **Internal Campaigns**:\n     Develop internal campaigns to build excitement and engagement. These campaigns can include posters, flyers, and announcements on internal communication platforms.\n\n   - **Dedicated Slack Channel**:\n     Create a dedicated Slack channel for event-related discussions, updates, and announcements. This channel will serve as a central hub for all event-related communication.\n\n   - **Executive Videos**:\n     Plan to create and share videos featuring executive messages about the event. These videos can be shared via email, internal communication platforms, and the dedicated Slack channel.\n\n   - **Mobile Event App**:\n     Develop a mobile event app that provides participants with access to the event schedule, maps, speaker information, and other relevant details. The app should also include features for messaging and networking.\n\n5. **Ensure Consistency and Clarity**:\n   Ensure that all marketing and communication materials are consistent in tone, style, and branding. This will help create a cohesive and professional image for the event.\n\n6. **Review and Finalize**:\n   Review the marketing and communication strategy to ensure that it meets all the requirements and aligns with the overall event goals. Make any necessary adjustments and finalize the strategy.\n\nYour final answer should be a detailed marketing and communication strategy document that includes all the components mentioned above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "PLANNING_TIMELINE",
-        "BUDGET_BREAKDOWN"
-      ]
-    },
-    {
-      "subtask": "5. Develop a venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness. -",
-      "tag": "VENUE_SELECTION",
-      "constraints": [
-        {
-          "constraint": "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive venue selection process to evaluate and select the best venue for the corporate team-building event. Follow these steps to accomplish your task:\n\n1. **Understand the Requirements**:\n   Review the gathered information about the company and event requirements, including the need to accommodate 100-300 employees. Ensure the venue selection process aligns with the overall event goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.\n\n2. **Define Evaluation Criteria**:\n   Based on the event requirements, define the key criteria for evaluating potential venues. The criteria should include:\n   - **Capacity**: Ability to accommodate 100-300 people.\n   - **Accessibility**: Ease of access for all attendees, including those with disabilities.\n   - **Parking**: Adequate parking facilities for attendees and staff.\n   - **Indoor/Outdoor Space**: Availability of both indoor and outdoor spaces for various activities.\n   - **AV Capabilities**: Sufficient audio-visual equipment and support.\n   - **WiFi**: Reliable WiFi for 300+ devices.\n   - **Catering Facilities**: Ability to support breakfast, lunch, afternoon snacks, and dinner.\n   - **Accommodations**: Proximity to accommodations for out-of-town attendees, if necessary.\n   - **Cost-Effectiveness**: Budget-friendly options within the estimated budget of $15,000-25,000.\n\n3. **Research Potential Venues**:\n   Identify at least 10 potential venues that meet the initial criteria. Gather detailed information about each venue, including:\n   - Location and contact information.\n   - Capacity and layout.\n   - Availability of required facilities and services.\n   - Cost estimates for rental and additional services.\n\n4. **Create Evaluation Forms**:\n   Develop evaluation forms to systematically assess each venue against the defined criteria. The forms should include:\n   - Checklists for each criterion.\n   - Rating scales for subjective assessments.\n   - Space for notes and additional comments.\n\n5. **Conduct Venue Visits or Virtual Tours**:\n   Schedule visits or virtual tours of the shortlisted venues. During the visits, evaluate:\n   - The overall ambiance and suitability for the event.\n   - The condition and functionality of facilities.\n   - The responsiveness and professionalism of the venue staff.\n\n6. **Compare and Contrast Venues**:\n   Use the evaluation forms to compare and contrast the venues. Create a summary table or matrix that highlights the strengths and weaknesses of each venue based on the defined criteria.\n\n7. **Select the Best Venue**:\n   Based on the evaluations, select the venue that best meets the event requirements and aligns with the budget. Consider factors such as overall value, flexibility, and the ability to create a memorable experience for attendees.\n\n8. **Document the Selection Process**:\n   Prepare a detailed report documenting the venue selection process. The report should include:\n   - The defined evaluation criteria.\n   - The list of potential venues and their evaluations.\n   - The comparison and contrast of venues.\n   - The rationale for selecting the final venue.\n\n9. **Finalize Venue Contract**:\n   Work with the selected venue to finalize the contract, ensuring all agreed-upon terms and conditions are clearly outlined. Include details such as:\n   - Rental costs and payment schedules.\n   - Cancellation policies.\n   - Additional services and their costs.\n\n10. **Integrate with Overall Event Plan**:\n    Ensure the selected venue aligns with the overall event strategy document. Coordinate with other event planning components, such as catering, transportation, and technology, to ensure seamless integration.\n\nBy following these steps, you will develop a thorough and effective venue selection process that meets the event's requirements and contributes to its success.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "6. Design a detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment. -",
-      "tag": "EVENT_SCHEDULE",
-      "constraints": [
-        {
-          "constraint": "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a detailed event schedule from 8:00 AM to 8:00 PM for a corporate team-building event. The schedule should include the following key components:\n\n1. **Registration and Breakfast (8:00 - 9:00 AM)**\n   - Plan for registration process and breakfast setup.\n   - Include details on coffee stations, pastries, and any other breakfast items.\n\n2. **Opening Ceremony (9:00 - 9:30 AM)**\n   - Outline the opening ceremony, including the CEO's speech.\n   - Include any additional opening activities or announcements.\n\n3. **Icebreaker Activities (9:30 - 10:30 AM)**\n   - Plan for icebreaker activities such as human bingo and speed networking.\n   - Include any necessary setup or facilitation details.\n\n4. **Morning Workshops (10:30 AM - 12:30 PM)**\n   - Design tracks on leadership, innovation, communication, and wellness.\n   - Include details on workshop content, facilitators, and any required materials.\n\n5. **Lunch (12:30 - 2:00 PM)**\n   - Plan for lunch with diverse menu options.\n   - Include details on catering setup, dietary restrictions, and any special considerations.\n\n6. **Afternoon Team Challenges (2:00 - 5:00 PM)**\n   - Plan for team challenges such as scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments.\n   - Include details on equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.\n\n7. **Awards Ceremony (5:00 - 5:30 PM)**\n   - Plan for the awards ceremony, including any necessary setup or facilitation details.\n   - Include details on award categories, presentation, and any additional activities.\n\n8. **Dinner with Entertainment (5:30 - 8:00 PM)**\n   - Plan for dinner with three entree choices and a full bar.\n   - Include details on entertainment such as live band or DJ, emcee, interactive activities, and evening games.\n\nTo accomplish this task, follow these steps:\n\n1. **Review Gathered Information**:\n   - Carefully review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Review Planning Timeline**:\n   - Review the planning timeline starting 6 months before the event with weekly milestones from the previous step:\n   <planning_timeline>\n   {{PLANNING_TIMELINE}}\n   </planning_timeline>\n\n3. **Review Budget Breakdown**:\n   - Review the budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget from the previous step:\n   <budget_breakdown>\n   {{BUDGET_BREAKDOWN}}\n   </budget_breakdown>\n\n4. **Review Marketing Strategy**:\n   - Review the marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods from the previous step:\n   <marketing_strategy>\n   {{MARKETING_STRATEGY}}\n   </marketing_strategy>\n\n5. **Review Venue Selection**:\n   - Review the venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness from the previous step:\n   <venue_selection>\n   {{VENUE_SELECTION}}\n   </venue_selection>\n\n6. **Design the Event Schedule**:\n   - Use the information gathered in the previous steps to design a detailed event schedule from 8:00 AM to 8:00 PM.\n   - Ensure the schedule includes all the key components mentioned above.\n   - Make sure the schedule is realistic, feasible, and aligns with the event's goals and constraints.\n\n7. **Finalize the Schedule**:\n   - Review the designed event schedule to ensure it meets all the requirements and constraints.\n   - Make any necessary adjustments to ensure the schedule is comprehensive and detailed.\n\n8. **Output the Event Schedule**:\n   - Provide the detailed event schedule as your final answer. Ensure the output is clear, concise, and well-organized.\n\nRemember to adhere to the event's goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories. Ensure the schedule is inclusive, accessible, and sustainable, following best practices and leveraging technology where appropriate.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "PLANNING_TIMELINE",
-        "BUDGET_BREAKDOWN",
-        "MARKETING_STRATEGY",
-        "VENUE_SELECTION"
-      ]
-    },
-    {
-      "subtask": "7. Create a list of 15 icebreaker activities with detailed plans. -",
-      "tag": "ICEBREAKER_PLANS",
-      "constraints": [
-        {
-          "constraint": "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a list of 15 icebreaker activities with detailed plans for a corporate team-building event. These activities should be engaging, inclusive, and designed to foster team cohesion and collaboration among 100-300 employees.\n\nTo approach this task, follow these steps:\n\n1. **Understand the Event Context**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Review the Event Schedule**:\n   Ensure that the icebreaker activities align with the event schedule, particularly the time slot allocated for icebreaker activities from 9:30 AM to 10:30 AM:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n3. **List of Icebreaker Activities**:\n   Create a list of 15 icebreaker activities. Each activity should include the following details:\n   - **Activity Name**: A clear and descriptive title.\n   - **Objective**: The purpose of the activity and how it contributes to team-building.\n   - **Materials Needed**: A list of any equipment or materials required.\n   - **Setup Instructions**: Step-by-step instructions for setting up the activity.\n   - **Instructions for Participants**: Clear guidelines on how to participate.\n   - **Duration**: The estimated time required for the activity.\n   - **Facilitator Notes**: Any special instructions or tips for the facilitator.\n   - **Safety Protocols**: Any safety considerations or guidelines.\n   - **Scoring System (if applicable)**: How the activity will be scored or evaluated.\n   - **Rotation Schedule (if applicable)**: How the activity will be rotated among teams.\n\n4. **Diverse and Inclusive Activities**:\n   Ensure that the activities are diverse and inclusive, catering to different personalities, abilities, and preferences. Consider activities that can be adapted for various team sizes and dynamics.\n\n5. **Engaging and Fun**:\n   The activities should be engaging and fun, designed to create a positive and memorable experience for all participants.\n\n6. **Alignment with Event Goals**:\n   Ensure that the activities align with the overall goals of the event, which include strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.\n\nHere is an example structure to guide your writing:\n- **Activity 1: Human Knot**\n  - **Objective**: Promote teamwork and problem-solving.\n  - **Materials Needed**: None.\n  - **Setup Instructions**: Have participants stand in a circle.\n  - **Instructions for Participants**: Each person must hold hands with two people across from them to form a \"human knot.\"\n  - **Duration**: 15-20 minutes.\n  - **Facilitator Notes**: Encourage communication and teamwork.\n  - **Safety Protocols**: Ensure participants are careful not to pull too hard.\n  - **Scoring System**: Not applicable.\n  - **Rotation Schedule**: Not applicable.\n\nRepeat the above structure for all 15 icebreaker activities.\n\nEnsure that each activity is clearly described and includes all the necessary details for successful execution.\n\nFinally, compile the list of 15 icebreaker activities with detailed plans into a comprehensive document.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE"
-      ]
-    },
-    {
-      "subtask": "8. Develop a team formation strategy with diverse mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event. -",
-      "tag": "TEAM_FORMATION",
-      "constraints": [
-        {
-          "constraint": "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a team formation strategy for a corporate team-building event. This strategy should ensure a diverse mix of departments and seniority levels, accommodate dietary restrictions, and assign teams two weeks before the event.\n\nTo accomplish this, follow these steps:\n\n1. **Understand the Event Requirements**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Diverse Team Formation**:\n   Create a strategy to form teams with a diverse mix of departments and seniority levels. Each team should consist of 8-12 people. Ensure that the teams are balanced in terms of experience, roles, and departments to foster collaboration and learning.\n\n3. **Pre-Event Survey**:\n   Design a pre-event survey to collect information about dietary restrictions and preferences from all participants. This survey should be distributed at least one month before the event to allow sufficient time for planning.\n\n4. **Team Assignments**:\n   Develop a process for assigning participants to teams. This process should consider the survey responses regarding dietary restrictions and ensure that teams are formed in a way that accommodates these needs. Team assignments should be communicated to participants two weeks before the event.\n\n5. **Team Identification**:\n   Assign unique names and colors to each team to facilitate easy identification and foster team spirit. Ensure that the names and colors are inclusive and appropriate for all participants.\n\n6. **Communication Plan**:\n   Outline a communication plan for informing participants about their team assignments, including the team name, color, and any other relevant information. This plan should include the distribution of team assignments and any follow-up communications.\n\n7. **Documentation**:\n   Document the team formation strategy, including the criteria used for team formation, the survey questions, the process for assigning teams, and the communication plan. This documentation will be included in the comprehensive event strategy document.\n\nEnsure that your strategy aligns with the overall event goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "9. Design content for leadership, innovation, communication, and wellness workshops. -",
-      "tag": "WORKSHOP_CONTENT",
-      "constraints": [
-        {
-          "constraint": "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design content for leadership, innovation, communication, and wellness workshops as part of the corporate team-building event. Follow these steps to accomplish your task:\n\n1. **Understand the Workshop Requirements**:\n   - The workshops should focus on four key areas: leadership, innovation, communication, and wellness.\n   - Each workshop should be engaging, informative, and relevant to the attendees, who are employees from various departments and seniority levels.\n   - The workshops should align with the overall goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.\n\n2. **Review Gathered Information**:\n   - Use the information gathered in the previous steps to understand the company's needs, event requirements, and constraints:\n     <information_gathering>\n     {{INFORMATION_GATHERING}}\n     </information_gathering>\n\n3. **Design Leadership Workshop Content**:\n   - Create a workshop that focuses on leadership case studies, practical exercises, and group discussions.\n   - Include real-world examples and interactive activities that encourage participants to apply leadership principles.\n   - Ensure the content is relevant to both current leaders and those aspiring to leadership roles.\n\n4. **Design Innovation Workshop Content**:\n   - Develop a workshop that emphasizes innovation brainstorming, creative problem-solving, and idea generation.\n   - Incorporate activities that encourage out-of-the-box thinking and collaboration.\n   - Provide tools and techniques that participants can use to foster innovation within their teams.\n\n5. **Design Communication Workshop Content**:\n   - Create a workshop that covers effective communication strategies, active listening, and conflict resolution.\n   - Include exercises that help participants practice clear and concise communication.\n   - Address both verbal and non-verbal communication skills.\n\n6. **Design Wellness Workshop Content**:\n   - Develop a workshop that focuses on wellness meditation, stress management, and work-life balance.\n   - Incorporate activities that promote physical and mental well-being.\n   - Provide practical tips and techniques that participants can integrate into their daily routines.\n\n7. **Ensure Alignment with Event Schedule**:\n   - Refer to the detailed event schedule to ensure the workshops fit within the allocated time slots:\n     <event_schedule>\n     {{EVENT_SCHEDULE}}\n     </event_schedule>\n\n8. **Consider Team Formation Strategy**:\n   - Take into account the team formation strategy to ensure the workshops cater to diverse groups:\n     <team_formation>\n     {{TEAM_FORMATION}}\n     </team_formation>\n\n9. **Create Detailed Workshop Plans**:\n   - For each workshop, provide a detailed plan that includes:\n     - Objectives and learning outcomes\n     - Agenda and timeline\n     - Materials and resources needed\n     - Facilitator guidelines\n     - Participant activities and exercises\n     - Evaluation methods\n\n10. **Review and Finalize**:\n    - Ensure the workshop content aligns with the overall event goals and constraints.\n    - Make any necessary adjustments to ensure the workshops are engaging, informative, and relevant to the attendees.\n\nYour final answer should be a detailed plan for each of the four workshops, including all the elements listed above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE",
-        "TEAM_FORMATION"
-      ]
-    },
-    {
-      "subtask": "10. Create a detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options. -",
-      "tag": "CATERING_PLAN",
-      "constraints": [
-        {
-          "constraint": "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-          "validation_strategy": "code"
-        }
-      ],
-      "prompt_template": "Your task is to create a detailed catering plan for the corporate team-building event. The catering plan should include options for breakfast, lunch, afternoon snacks, and dinner, ensuring a diverse menu that accommodates various dietary restrictions and preferences.\n\nTo approach this task, follow these steps:\n\n1. **Review Gathered Information**:\n   Begin by reviewing the information gathered about the company and event requirements:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Understand the Event Schedule**:\n   Familiarize yourself with the event schedule to ensure the catering plan aligns with the timing of meals and breaks:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n3. **Consider Dietary Restrictions**:\n   Use the team formation strategy, which includes a pre-event survey for dietary restrictions and preferences, to ensure the catering plan accommodates all attendees:\n   <team_formation>\n   {{TEAM_FORMATION}}\n   </team_formation>\n\n4. **Breakfast Options**:\n   Plan a breakfast menu that includes a coffee station and pastries. Ensure there are options for different dietary needs, such as gluten-free, vegan, and lactose-free choices.\n\n5. **Lunch Options**:\n   Design a lunch buffet with a variety of options, including a salad bar and hot entrees. Provide diverse menu choices to cater to different tastes and dietary restrictions.\n\n6. **Afternoon Snacks**:\n   Plan for afternoon snacks that are light and refreshing. Consider options like fruits, vegetables, and healthy snacks to keep energy levels up during the event.\n\n7. **Dinner Options**:\n   Create a dinner menu with three entree choices and a full bar. Ensure there are options for different dietary needs and preferences, such as vegetarian, vegan, and gluten-free choices.\n\n8. **Allergen Labeling**:\n   Include allergen labeling for all food items to ensure the safety and well-being of all attendees.\n\n9. **Sustainability Considerations**:\n   Incorporate sustainable practices into the catering plan, such as using reusable serving ware and minimizing food waste.\n\n10. **Budget Constraints**:\n    Ensure the catering plan stays within the budget constraints outlined in the budget breakdown:\n    <budget_breakdown>\n    {{BUDGET_BREAKDOWN}}\n    </budget_breakdown>\n\n11. **Finalize the Catering Plan**:\n    Compile all the information into a detailed catering plan that includes timings, menu options, and any special considerations.\n\nYour final answer should be a comprehensive catering plan that meets all the requirements and constraints of the event.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE",
-        "TEAM_FORMATION",
-        "BUDGET_BREAKDOWN"
-      ]
-    },
-    {
-      "subtask": "11. Develop logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules. -",
-      "tag": "ACTIVITY_LOGISTICS",
-      "constraints": [
-        {
-          "constraint": "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop detailed logistics for all planned activities for the corporate team-building event. This includes creating equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.\n\nTo approach this task, follow these steps:\n\n1. **Review the Event Schedule and Activity Plans**:\n   - Carefully review the event schedule and the list of planned activities from the previous steps. These include icebreaker activities, workshops, team challenges, and other events.\n   - Ensure you have a clear understanding of the timeline and the sequence of activities.\n\n2. **Create Equipment Lists**:\n   - For each activity, identify the necessary equipment and materials required.\n   - Ensure that the equipment lists are comprehensive and include all items needed for smooth execution.\n\n3. **Develop Setup Instructions**:\n   - Provide detailed setup instructions for each activity.\n   - Include information on how to arrange the space, set up equipment, and prepare the area for participants.\n\n4. **Establish Safety Protocols**:\n   - Develop safety protocols for each activity to ensure the well-being of all participants.\n   - Include guidelines for emergency procedures, first aid, and any specific safety measures related to the activity.\n\n5. **Prepare Facilitator Guides**:\n   - Create facilitator guides that outline the roles and responsibilities of the activity facilitators.\n   - Include step-by-step instructions, tips for engaging participants, and any other relevant information.\n\n6. **Design Scoring Systems**:\n   - For competitive activities, design scoring systems that are fair and transparent.\n   - Ensure that the scoring criteria are clearly communicated to all participants.\n\n7. **Plan Rotation Schedules**:\n   - Develop rotation schedules for activities that involve multiple groups or teams.\n   - Ensure that the schedules are efficient and allow for smooth transitions between activities.\n\n8. **Integrate with Other Plans**:\n   - Ensure that the activity logistics align with the catering plan, transportation plan, and other relevant aspects of the event.\n   - Coordinate with the technology plan to ensure that any necessary AV equipment or WiFi access is available.\n\n9. **Review and Finalize**:\n   - Review all the logistics plans to ensure they are comprehensive and practical.\n   - Make any necessary adjustments to ensure that the activities run smoothly and safely.\n\nHere is an example structure to guide your writing:\n- **Activity Name**: [Name of the activity]\n- **Equipment List**: [List of required equipment]\n- **Setup Instructions**: [Detailed setup instructions]\n- **Safety Protocols**: [Safety guidelines and emergency procedures]\n- **Facilitator Guide**: [Roles and responsibilities, step-by-step instructions]\n- **Scoring System**: [Scoring criteria and guidelines]\n- **Rotation Schedule**: [Schedule for team rotations]\n\nEnsure that each section is clearly outlined and provides all necessary information for the successful execution of the activity.\n\nFinally, compile all the logistics plans into a detailed document that can be easily referenced during the event planning and execution phases.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "12. Create a transportation plan with charter buses, parking management, shuttle service, and contingency plans. -",
-      "tag": "TRANSPORTATION_PLAN",
-      "constraints": [
-        {
-          "constraint": "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a comprehensive transportation plan for the corporate team-building event. This plan should include charter buses, parking management, shuttle service, and contingency plans. Follow these steps to accomplish your task:\n\n1. **Review Gathered Information**:\n   Start by reviewing the information gathered about the company, event requirements, and constraints. This will help you understand the specific needs and logistics of the event:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Understand the Event Schedule**:\n   Familiarize yourself with the detailed event schedule to ensure that the transportation plan aligns with the timing and logistics of the event:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n3. **Develop Charter Bus Plan**:\n   Create a plan for charter buses that includes:\n   - Number of buses required based on the number of attendees.\n   - Pick-up and drop-off locations.\n   - Schedule for bus arrivals and departures.\n   - Cost estimates and budget considerations.\n\n4. **Design Parking Management Plan**:\n   Develop a parking management plan that includes:\n   - Availability of parking spaces at the venue.\n   - Designated parking areas for attendees, staff, and vendors.\n   - Parking fees and payment methods.\n   - Accessibility considerations for attendees with disabilities.\n\n5. **Create Shuttle Service Plan**:\n   Outline a shuttle service plan that includes:\n   - Routes and schedules for shuttles.\n   - Pick-up and drop-off points.\n   - Frequency of shuttle services.\n   - Cost estimates and budget considerations.\n\n6. **Develop Contingency Plans**:\n   Prepare contingency plans for potential issues such as:\n   - Weather-related delays or cancellations.\n   - Mechanical failures of buses or shuttles.\n   - Unexpected changes in attendee numbers.\n   - Alternative transportation options in case of emergencies.\n\n7. **Integrate with Other Logistics**:\n   Ensure that the transportation plan is integrated with other event logistics, such as registration, catering, and activities. This will help ensure a smooth and coordinated event experience.\n\n8. **Finalize the Transportation Plan**:\n   Compile all the information into a detailed transportation plan that includes all the elements mentioned above. Ensure that the plan is clear, organized, and easy to follow.\n\nYour final answer should be a comprehensive transportation plan that addresses all the requirements and considerations mentioned above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE"
-      ]
-    },
-    {
-      "subtask": "13. Design a registration process with online portal, on-site check-in, name tags, welcome packets, and staff training. -",
-      "tag": "REGISTRATION_PROCESS",
-      "constraints": [
-        {
-          "constraint": "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a comprehensive registration process for the corporate team-building event. This process should include an online portal, on-site check-in, name tags, welcome packets, and staff training. Follow these steps to accomplish your task:\n\n1. **Online Portal**:\n    - Design an online registration portal that allows employees to register for the event.\n    - Ensure the portal collects necessary information such as name, department, dietary restrictions, and any special needs.\n    - Include a confirmation email feature that sends registration details and event information to participants.\n\n2. **On-Site Check-In**:\n    - Develop a streamlined on-site check-in process to ensure smooth and efficient entry for all attendees.\n    - Plan for check-in stations with clear signage and trained staff to assist participants.\n    - Consider using technology such as QR codes or barcode scanners to expedite the check-in process.\n\n3. **Name Tags**:\n    - Design and prepare name tags for all attendees.\n    - Include the participant's name, department, and any additional information that may be relevant (e.g., dietary restrictions, accessibility needs).\n    - Ensure name tags are durable, easy to read, and can be worn comfortably throughout the event.\n\n4. **Welcome Packets**:\n    - Create welcome packets that include essential event information such as the schedule, map of the venue, and any necessary forms or documents.\n    - Include a welcome letter from the event organizers or company executives.\n    - Add promotional items or swag to the packets to enhance the participant experience.\n\n5. **Staff Training**:\n    - Develop a training program for event staff to ensure they are prepared to handle registration, check-in, and any issues that may arise.\n    - Train staff on the use of the online portal, check-in technology, and how to assist participants with special needs.\n    - Conduct mock drills to simulate the registration process and identify any potential issues or areas for improvement.\n\n6. **Integration with Other Plans**:\n    - Ensure the registration process aligns with the overall event schedule, transportation plan, and safety plan.\n    - Coordinate with the technology plan to integrate any necessary tech solutions for registration and check-in.\n    - Consider the accessibility plan to ensure the registration process is inclusive and accommodates all participants.\n\n7. **Contingency Planning**:\n    - Develop a contingency plan for potential issues such as technical difficulties with the online portal, high check-in volumes, or last-minute registrations.\n    - Ensure staff are trained to handle these scenarios and have backup plans in place.\n\n8. **Review and Finalize**:\n    - Review the registration process to ensure it meets all requirements and aligns with the event's goals.\n    - Make any necessary adjustments and finalize the registration process.\n\nUse the information gathered in the previous steps to guide your design. Ensure the registration process is user-friendly, efficient, and aligns with the overall event strategy.\n\n<information_gathering>\n{{INFORMATION_GATHERING}}\n</information_gathering>\n\n<planning_timeline>\n{{PLANNING_TIMELINE}}\n</planning_timeline>\n\n<budget_breakdown>\n{{BUDGET_BREAKDOWN}}\n</budget_breakdown>\n\n<marketing_strategy>\n{{MARKETING_STRATEGY}}\n</marketing_strategy>\n\n<venue_selection>\n{{VENUE_SELECTION}}\n</venue_selection>\n\n<event_schedule>\n{{EVENT_SCHEDULE}}\n</event_schedule>\n\n<icebreaker_plans>\n{{ICEBREAKER_PLANS}}\n</icebreaker_plans>\n\n<team_formation>\n{{TEAM_FORMATION}}\n</team_formation>\n\n<workshop_content>\n{{WORKSHOP_CONTENT}}\n</workshop_content>\n\n<catering_plan>\n{{CATERING_PLAN}}\n</catering_plan>\n\n<activity_logistics>\n{{ACTIVITY_LOGISTICS}}\n</activity_logistics>\n\n<transportation_plan>\n{{TRANSPORTATION_PLAN}}\n</transportation_plan>",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "PLANNING_TIMELINE",
-        "BUDGET_BREAKDOWN",
-        "MARKETING_STRATEGY",
-        "VENUE_SELECTION",
-        "EVENT_SCHEDULE",
-        "ICEBREAKER_PLANS",
-        "TEAM_FORMATION",
-        "WORKSHOP_CONTENT",
-        "CATERING_PLAN",
-        "ACTIVITY_LOGISTICS",
-        "TRANSPORTATION_PLAN"
-      ]
-    },
-    {
-      "subtask": "14. Develop a comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting. -",
-      "tag": "SAFETY_PLAN",
-      "constraints": [
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive safety plan for the corporate team-building event. This plan should ensure the safety and well-being of all participants and staff. Follow these steps to accomplish your task:\n\n1. **Understand the Event Details**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Identify Key Safety Components**:\n   The safety plan should include the following components:\n   - **Insurance**: Ensure that the event has adequate insurance coverage for all activities and participants.\n   - **First Aid Stations**: Plan for the setup of first aid stations at strategic locations within the venue.\n   - **Evacuation Procedures**: Develop clear evacuation procedures in case of emergencies.\n   - **Weather Contingencies**: Prepare contingency plans for adverse weather conditions.\n   - **Food Safety**: Implement food safety measures, including allergen labeling and proper handling procedures.\n   - **Security Personnel**: Arrange for security personnel to be present throughout the event.\n   - **Incident Reporting**: Establish a system for reporting and managing incidents during the event.\n\n3. **Create Detailed Plans for Each Component**:\n   - **Insurance**: Specify the type and amount of insurance required, and ensure that all vendors and participants are covered.\n   - **First Aid Stations**: Determine the number and location of first aid stations, and ensure that they are staffed by qualified medical personnel.\n   - **Evacuation Procedures**: Develop a clear and concise evacuation plan, including designated assembly points and communication protocols.\n   - **Weather Contingencies**: Prepare alternative plans for outdoor activities in case of bad weather, including indoor alternatives and rescheduling options.\n   - **Food Safety**: Work with caterers to ensure that all food is prepared and served safely, with clear labeling of allergens.\n   - **Security Personnel**: Hire and brief security personnel on their roles and responsibilities, including crowd control and emergency response.\n   - **Incident Reporting**: Create a system for reporting incidents, including forms and protocols for documenting and addressing issues.\n\n4. **Review and Finalize the Safety Plan**:\n   Ensure that the safety plan is comprehensive and addresses all potential risks and contingencies. Make any necessary adjustments to ensure that the plan is practical and effective.\n\n5. **Output the Safety Plan**:\n   Provide the detailed safety plan as your final answer. The plan should be clear, concise, and easy to follow, ensuring that all safety measures are in place for a successful event.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "15. Create a vendor management strategy with selection criteria, contracts, payment schedules, and evaluation forms. -",
-      "tag": "VENDOR_MANAGEMENT",
-      "constraints": [
-        {
-          "constraint": "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a comprehensive vendor management strategy for the corporate team-building event. This strategy should include selection criteria, contracts, payment schedules, and evaluation forms. Follow these steps to accomplish your task:\n\n1. **Understand the Requirements**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Define Selection Criteria**:\n   Develop a set of selection criteria for vendors. Consider factors such as:\n   - Experience and reputation\n   - Cost-effectiveness\n   - Availability and capacity\n   - Quality of services or products\n   - Compatibility with event goals and values\n   - Sustainability practices\n   - Customer reviews and references\n\n3. **Create Contract Templates**:\n   Design standard contract templates that outline:\n   - Scope of work\n   - Deliverables\n   - Timeline and milestones\n   - Payment terms\n   - Cancellation and refund policies\n   - Liability and insurance requirements\n   - Confidentiality and data protection clauses\n\n4. **Develop Payment Schedules**:\n   Establish payment schedules for each vendor category (e.g., venue rental, catering, entertainment, transportation, technology). Consider:\n   - Deposit amounts and due dates\n   - Progress payments tied to milestones\n   - Final payments upon completion\n   - Payment methods and invoicing procedures\n\n5. **Design Evaluation Forms**:\n   Create evaluation forms to assess vendor performance. Include sections for:\n   - Quality of services or products\n   - Timeliness and reliability\n   - Professionalism and communication\n   - Adherence to budget and contract terms\n   - Customer feedback and satisfaction\n   - Recommendations for future events\n\n6. **Compile the Vendor Management Strategy**:\n   Combine all the above elements into a cohesive vendor management strategy document. Ensure it is clear, detailed, and aligned with the event's goals and constraints.\n\nYour final answer should be a comprehensive vendor management strategy document that includes selection criteria, contract templates, payment schedules, and evaluation forms.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "16. Design a technology plan with event app, AV equipment, WiFi, photography services, live streaming, and tech support. -",
-      "tag": "TECHNOLOGY_PLAN",
-      "constraints": [
-        {
-          "constraint": "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a comprehensive technology plan for the corporate team-building event. This plan should ensure seamless integration of technology to enhance the event experience, facilitate smooth operations, and support all planned activities.\n\nTo accomplish this, follow these steps:\n\n1. **Event App**:\n    - Design an event app that will serve as a central hub for scheduling, messaging, and real-time updates.\n    - Include features such as personalized schedules, team assignments, interactive maps, and push notifications.\n    - Ensure the app is user-friendly and accessible on both iOS and Android platforms.\n\n2. **AV Equipment**:\n    - Plan for all necessary audio-visual equipment, including microphones, speakers, projectors, and screens.\n    - Ensure that the AV setup is compatible with the venue's infrastructure and meets the requirements for presentations, workshops, and the opening ceremony.\n\n3. **WiFi**:\n    - Arrange for robust WiFi coverage capable of supporting 300+ devices simultaneously.\n    - Work with the venue and internet service providers to ensure reliable connectivity throughout the event.\n\n4. **Photography Services**:\n    - Hire professional photographers to capture key moments during the event.\n    - Plan for photo backdrops, designated photo areas, and a system for sharing photos with participants post-event.\n\n5. **Live Streaming**:\n    - Set up live streaming capabilities for any sessions that need to be broadcast to remote participants or recorded for future reference.\n    - Ensure high-quality video and audio streaming with minimal latency.\n\n6. **Tech Support**:\n    - Assign a dedicated tech support team to troubleshoot any issues that arise during the event.\n    - Provide clear contact information and a quick response protocol for technical difficulties.\n\n7. **Integration with Other Plans**:\n    - Coordinate with the marketing and communication strategy to ensure the event app and other technology tools are promoted effectively.\n    - Align with the registration process to integrate the event app with the online portal and on-site check-in.\n\n8. **Safety and Contingency**:\n    - Include backup plans for technology failures, such as alternative AV setups and backup internet connections.\n    - Ensure that all technology plans comply with the safety plan and contingency planning.\n\n9. **Budget Considerations**:\n    - Estimate the costs for each technology component and ensure they fit within the overall budget.\n    - Prioritize cost-effective solutions that meet the event's requirements without compromising quality.\n\n10. **Documentation**:\n    - Create detailed documentation for each technology component, including setup instructions, user guides, and troubleshooting tips.\n    - Share this documentation with relevant stakeholders, including event staff, vendors, and participants.\n\nUse the gathered information and previous steps to inform your technology plan. Ensure that all technology solutions are scalable, reliable, and enhance the overall event experience.\n\nFinally, compile your technology plan into a clear and concise document that can be integrated into the comprehensive event strategy document.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "17. Develop a decoration strategy with signage, team colors, photo backdrops, and sustainable options. -",
-      "tag": "DECORATION_STRATEGY",
-      "constraints": [
-        {
-          "constraint": "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive decoration strategy for the corporate team-building event. This strategy should focus on creating an engaging and visually appealing environment that aligns with the event's goals and themes. Follow these steps to accomplish your task:\n\n1. **Understand the Event Requirements**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Review the Event Schedule and Theme**:\n   Ensure that the decoration strategy aligns with the event schedule and overall theme. Refer to the event schedule and other relevant plans:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n3. **Develop Signage Strategy**:\n   Create a plan for signage that includes:\n   - Welcome signs at the entrance\n   - Directional signs for different event areas\n   - Informational signs for activities and workshops\n   - Team identification signs\n   Ensure that all signage is clear, visually appealing, and consistent with the event's branding.\n\n4. **Design Team Colors and Identification**:\n   Develop a strategy for using team colors to identify different teams. This can include:\n   - Color-coded name tags and lanyards\n   - Team-specific decorations and signage\n   - Color-coordinated table settings and seating arrangements\n   Ensure that the team colors are easily distinguishable and contribute to a cohesive visual theme.\n\n5. **Create Photo Backdrops**:\n   Design photo backdrops that are visually appealing and align with the event's theme. Consider:\n   - Themed backdrops for different event areas\n   - Customizable backdrops that can be personalized with team names or slogans\n   - Backdrops that incorporate the company's branding and colors\n   Ensure that the photo backdrops are easily accessible and encourage participants to take photos.\n\n6. **Incorporate Sustainable Options**:\n   Develop a strategy for incorporating sustainable decoration options. This can include:\n   - Using reusable or recyclable materials\n   - Choosing eco-friendly signage and backdrops\n   - Implementing digital signage where possible\n   - Ensuring proper waste management and recycling practices\n   Ensure that the sustainable options are practical and do not compromise the visual appeal of the decorations.\n\n7. **Review and Finalize the Strategy**:\n   Ensure that the decoration strategy is comprehensive and aligns with the event's goals and requirements. Make any necessary adjustments to ensure that the strategy is practical and effective.\n\nFinally, write the decoration strategy document that includes all the above elements. This document will serve as a guide for implementing the decoration strategy during the event.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE"
-      ]
-    },
-    {
-      "subtask": "18. Create an entertainment plan with live band or DJ, emcee, interactive activities, and evening games. -",
-      "tag": "ENTERTAINMENT_PLAN",
-      "constraints": [
-        {
-          "constraint": "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create an entertainment plan for the corporate team-building event. The plan should include a live band or DJ, an emcee, interactive activities, and evening games. Follow these steps to accomplish your task:\n\n1. **Review the Event Schedule**:\n   Ensure that the entertainment plan aligns with the event schedule. You can refer to the event schedule from the previous step:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n2. **Select Entertainment Options**:\n   Choose between a live band or a DJ for the event. Consider the preferences of the attendees and the overall theme of the event. Additionally, decide on an emcee who will guide the event and engage the audience.\n\n3. **Plan Interactive Activities**:\n   Develop a list of interactive activities that will engage the attendees. These activities should be fun, inclusive, and align with the team-building goals of the event. Examples include trivia games, karaoke, and dance-offs.\n\n4. **Design Evening Games**:\n   Create a list of evening games that will keep the attendees entertained and engaged. These games should be suitable for the time of day and the overall atmosphere of the event. Examples include casino night, poker tournaments, and photo booths.\n\n5. **Coordinate with Other Plans**:\n   Ensure that the entertainment plan coordinates with other aspects of the event, such as the catering plan, technology plan, and decoration strategy. You can refer to the following plans from the previous steps:\n   <catering_plan>\n   {{CATERING_PLAN}}\n   </catering_plan>\n   <technology_plan>\n   {{TECHNOLOGY_PLAN}}\n   </technology_plan>\n   <decoration_strategy>\n   {{DECORATION_STRATEGY}}\n   </decoration_strategy>\n\n6. **Create a Detailed Entertainment Plan**:\n   Write a detailed entertainment plan that includes the following information:\n   - **Live Band or DJ**: Specify the type of entertainment, the duration, and any specific requirements.\n   - **Emcee**: Provide details about the emcee, including their role and responsibilities.\n   - **Interactive Activities**: List the interactive activities, their duration, and any necessary equipment or setup.\n   - **Evening Games**: Describe the evening games, their duration, and any specific instructions or rules.\n\nEnsure that the entertainment plan is comprehensive and covers all aspects of the event. The plan should be clear, concise, and easy to follow.\n\nFinally, provide the detailed entertainment plan as your answer.",
-      "input_vars_required": [],
-      "depends_on": [
-        "EVENT_SCHEDULE",
-        "CATERING_PLAN",
-        "TECHNOLOGY_PLAN",
-        "DECORATION_STRATEGY"
-      ]
-    },
-    {
-      "subtask": "19. Design a prize strategy with team prizes, individual awards, participation gifts, and raffle prizes. -",
-      "tag": "PRIZE_STRATEGY",
-      "constraints": [
-        {
-          "constraint": "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a prize strategy for the corporate team-building event. The prize strategy should include team prizes, individual awards, participation gifts, and raffle prizes. Follow these steps to accomplish your task:\n\n1. **Understand the Event Context**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Define Prize Categories**:\n   Identify the different categories of prizes needed for the event. These should include:\n   - **Team Prizes**: Prizes for the top-performing teams, such as first, second, and third place.\n   - **Individual Awards**: Recognition for outstanding individual performances or contributions.\n   - **Participation Gifts**: Small gifts or tokens of appreciation for all attendees.\n   - **Raffle Prizes**: Prizes to be raffled off during the event, which can be won by any attendee.\n\n3. **Determine Prize Values**:\n   Based on the budget breakdown and the overall event budget, determine the appropriate values for each prize category. Ensure that the prize strategy aligns with the total estimated budget:\n   <budget_breakdown>\n   {{BUDGET_BREAKDOWN}}\n   </budget_breakdown>\n\n4. **Plan Team Prizes**:\n   Design a tiered prize structure for team prizes. For example:\n   - **First Place Team Prize**: $500 value\n   - **Second Place Team Prize**: $300 value\n   - **Third Place Team Prize**: $200 value\n\n5. **Plan Individual Awards**:\n   Identify criteria for individual awards, such as \"Most Innovative Idea,\" \"Best Team Player,\" or \"Outstanding Leadership.\" Determine the type and value of each individual award.\n\n6. **Plan Participation Gifts**:\n   Choose small, meaningful gifts that can be given to all attendees. These could include branded merchandise, gift cards, or other tokens of appreciation.\n\n7. **Plan Raffle Prizes**:\n   Select a variety of raffle prizes that appeal to a broad range of attendees. Consider including high-value items, experiences, or other exciting prizes.\n\n8. **Integrate with Event Schedule**:\n   Ensure that the prize strategy aligns with the event schedule, including when and how prizes will be awarded. Review the event schedule from the previous step:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n9. **Document the Prize Strategy**:\n   Compile all the information into a detailed prize strategy document. Include the following sections:\n   - **Team Prizes**: Description and value of each team prize.\n   - **Individual Awards**: Criteria and description of each individual award.\n   - **Participation Gifts**: Description and distribution plan for participation gifts.\n   - **Raffle Prizes**: Description and selection process for raffle prizes.\n\n10. **Review and Finalize**:\n    Review the prize strategy to ensure it meets all event requirements and aligns with the overall event goals. Make any necessary adjustments to ensure clarity and completeness.\n\nYour final answer should be a detailed prize strategy document that includes all the above information.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "BUDGET_BREAKDOWN",
-        "EVENT_SCHEDULE"
-      ]
-    },
-    {
-      "subtask": "20. Develop a post-event evaluation plan with participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications. -",
-      "tag": "POST_EVENT_EVALUATION",
-      "constraints": [
-        {
-          "constraint": "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive post-event evaluation plan for the corporate team-building event. This plan should include the following components:\n\n1. **Participant Survey**:\n   - Design a survey to be sent within 24 hours of the event.\n   - Include questions that assess the overall experience, specific activities, workshops, catering, and any areas for improvement.\n   - Ensure the survey is concise, easy to complete, and covers all key aspects of the event.\n\n2. **Debriefing Sessions**:\n   - Plan debriefing sessions with the event planning team and key stakeholders.\n   - Schedule these sessions within a week after the event to discuss what went well, what could be improved, and any lessons learned.\n   - Document the outcomes of these sessions for future reference.\n\n3. **Budget Reconciliation**:\n   - Compare the actual expenses with the estimated budget.\n   - Identify any budget overruns or savings.\n   - Provide a detailed report on the financial performance of the event.\n\n4. **Photo Compilation**:\n   - Gather all photos taken during the event.\n   - Create a digital album or slideshow to share with participants and stakeholders.\n   - Ensure the photos are organized and easily accessible.\n\n5. **Impact Assessment**:\n   - Evaluate the impact of the event on team cohesion, cross-departmental collaboration, and morale.\n   - Use feedback from the participant survey and debriefing sessions to assess the event's success.\n   - Provide a summary of the event's overall impact and any measurable outcomes.\n\n6. **Thank You Communications**:\n   - Prepare thank-you messages for all participants, vendors, and stakeholders.\n   - Include a brief summary of the event's success and express gratitude for their contributions.\n   - Send these communications within a week after the event.\n\nTo accomplish this task, follow these steps:\n\n1. **Review Event Details**:\n   - Refer to the gathered information about the company, event requirements, and constraints:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Design the Participant Survey**:\n   - Create a survey that covers all key aspects of the event.\n   - Ensure the survey is user-friendly and can be completed quickly.\n\n3. **Plan Debriefing Sessions**:\n   - Schedule sessions with the event planning team and key stakeholders.\n   - Prepare an agenda for each session to ensure productive discussions.\n\n4. **Conduct Budget Reconciliation**:\n   - Compare actual expenses with the estimated budget.\n   - Identify any discrepancies and document the findings.\n\n5. **Compile Photos**:\n   - Gather all photos from the event.\n   - Organize them into a digital album or slideshow.\n\n6. **Assess Impact**:\n   - Use feedback from the survey and debriefing sessions to evaluate the event's impact.\n   - Provide a summary of the event's success and any measurable outcomes.\n\n7. **Prepare Thank You Communications**:\n   - Draft thank-you messages for participants, vendors, and stakeholders.\n   - Include a brief summary of the event's success and express gratitude.\n\n8. **Compile the Post-Event Evaluation Plan**:\n   - Combine all the components into a comprehensive post-event evaluation plan.\n   - Ensure the plan is clear, detailed, and ready for implementation.\n\nYour final answer should be the complete post-event evaluation plan, including all the components mentioned above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "21. Create an accessibility plan with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation. -",
-      "tag": "ACCESSIBILITY_PLAN",
-      "constraints": [
-        {
-          "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create an accessibility plan for the corporate team-building event. This plan should ensure that the event is inclusive and accommodates the diverse needs of all attendees. Follow these steps to accomplish your task:\n\n1. **Understand the Requirements**:\n   Review the gathered information about the company and event requirements to understand the specific needs and constraints related to accessibility:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **ADA Compliance**:\n   Ensure that the event venue and all activities comply with the Americans with Disabilities Act (ADA) standards. This includes:\n   - Accessible entry points and pathways\n   - Adequate space for mobility devices\n   - Accessible restrooms\n   - Clear signage and directions\n\n3. **Interpreters and Assistive Technology**:\n   Plan for the provision of interpreters for attendees who are deaf or hard of hearing. Additionally, consider any assistive technology that may be required, such as:\n   - Hearing assistance devices\n   - Visual aids\n   - Braille materials\n\n4. **Activity Modifications**:\n   Modify activities to ensure they are accessible to all attendees. This may include:\n   - Providing alternative activities for those who cannot participate in certain events\n   - Adjusting the difficulty level of activities\n   - Ensuring that all activities can be performed by individuals with varying abilities\n\n5. **Dietary Accommodation**:\n   Accommodate dietary restrictions and preferences by:\n   - Offering a variety of food options that cater to different dietary needs (e.g., vegetarian, vegan, gluten-free, allergies)\n   - Clearly labeling all food items with allergen information\n   - Providing a pre-event survey to gather dietary information from attendees\n\n6. **Inclusive Team Formation**:\n   Ensure that teams are formed inclusively by:\n   - Mixing departments and seniority levels\n   - Considering the abilities and preferences of each attendee\n   - Providing clear team assignments and communication channels\n\n7. **Safety and Emergency Procedures**:\n   Develop safety and emergency procedures that are accessible to all attendees. This includes:\n   - Clear evacuation routes and procedures\n   - Accessible first aid stations\n   - Emergency contact information\n\n8. **Communication Plan**:\n   Create a communication plan that ensures all attendees are informed about accessibility options and how to access them. This may include:\n   - Including accessibility information in event materials\n   - Providing a dedicated point of contact for accessibility-related questions\n   - Using multiple communication channels (e.g., email, event app, Slack)\n\n9. **Review and Finalize**:\n   Review the accessibility plan to ensure it meets all requirements and addresses the diverse needs of the attendees. Make any necessary adjustments and finalize the plan.\n\nYour final answer should be a comprehensive accessibility plan that includes all the elements outlined above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "22. Create a contingency plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns. -",
-      "tag": "CONTINGENCY_PLANNING",
-      "constraints": [
-        {
-          "constraint": "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a comprehensive contingency plan for the corporate team-building event. This plan should address potential risks and ensure the event can proceed smoothly despite unforeseen circumstances. Follow these steps to accomplish your task:\n\n1. **Identify Potential Risks**:\n   - **Weather Emergencies**: Consider the possibility of extreme weather conditions that could disrupt the event. Think about both indoor and outdoor activities.\n   - **Vendor Cancellations**: Identify key vendors and the impact of their cancellation on the event.\n   - **Technology Failures**: Consider the technology requirements for the event and potential failures that could occur.\n   - **Medical Emergencies**: Plan for any medical emergencies that might arise during the event.\n   - **Budget Overruns**: Identify areas where budget overruns might occur and plan for alternative solutions.\n\n2. **Develop Contingency Strategies**:\n   - **Weather Emergencies**:\n     - **Indoor Activities**: Have a backup plan for moving outdoor activities indoors.\n     - **Outdoor Activities**: Consider alternative dates or locations if necessary.\n     - **Communication**: Develop a communication plan to inform attendees of any changes due to weather.\n   - **Vendor Cancellations**:\n     - **Backup Vendors**: Identify and contract backup vendors for critical services.\n     - **Alternative Solutions**: Develop alternative solutions for essential services.\n   - **Technology Failures**:\n     - **Backup Equipment**: Ensure backup AV equipment and tech support are available.\n     - **Manual Processes**: Have manual processes in place in case of technology failures.\n   - **Medical Emergencies**:\n     - **First Aid Stations**: Ensure adequate first aid stations and trained personnel are available.\n     - **Emergency Protocols**: Develop clear protocols for handling medical emergencies.\n   - **Budget Overruns**:\n     - **Cost-Saving Measures**: Identify areas where costs can be reduced without compromising the event.\n     - **Contingency Fund**: Allocate a contingency fund to cover unexpected expenses.\n\n3. **Implement and Monitor**:\n   - **Implementation**: Ensure all contingency plans are implemented as part of the overall event strategy.\n   - **Monitoring**: Continuously monitor the event for any signs of the identified risks and be prepared to activate the contingency plans as needed.\n\n4. **Documentation**:\n   - **Contingency Plan Document**: Create a detailed contingency plan document that includes all the strategies developed. This document should be part of the comprehensive event strategy document.\n\n5. **Review and Update**:\n   - **Regular Reviews**: Regularly review and update the contingency plan as the event approaches to ensure it remains relevant and effective.\n\nUse the information gathered in the previous steps to inform your contingency planning. Ensure that all aspects of the event are covered and that the contingency plans are practical and feasible.\n\nFinally, compile the contingency plan into a clear and concise document that can be easily referenced during the event planning and execution phases.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "23. Develop a sustainability plan with eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management. -",
-      "tag": "SUSTAINABILITY_PLAN",
-      "constraints": [
-        {
-          "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive sustainability plan for the corporate team-building event. This plan should focus on minimizing the environmental impact of the event while ensuring a memorable and enjoyable experience for all participants.\n\nTo accomplish this, follow these steps:\n\n1. **Understand the Event Requirements**:\n   Review the gathered information about the company, event requirements, and constraints:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Identify Key Sustainability Areas**:\n   Focus on the following key areas to create a sustainable event:\n   - **Eco-friendly Venue**: Select a venue that has eco-friendly practices, such as energy-efficient lighting, waste reduction programs, and sustainable building materials.\n   - **Local Catering**: Partner with local caterers who source ingredients locally and use sustainable practices. Ensure they offer diverse menu options that accommodate dietary restrictions.\n   - **Reusable Serving Ware**: Use reusable or compostable serving ware to minimize waste. Avoid single-use plastics and encourage the use of reusable cups, plates, and cutlery.\n   - **Digital Communications**: Utilize digital communications for invitations, reminders, and event information to reduce paper waste. Create a mobile event app for scheduling and messaging.\n   - **Recyclable Decorations**: Choose decorations that are recyclable or made from sustainable materials. Avoid non-biodegradable materials and opt for eco-friendly alternatives.\n   - **Waste Management**: Implement a comprehensive waste management plan that includes recycling stations, composting, and proper disposal of waste. Educate participants on the importance of waste reduction and proper disposal methods.\n\n3. **Develop Detailed Strategies**:\n   For each key area, develop detailed strategies that outline the steps to be taken, the resources required, and the expected outcomes. Ensure that the strategies align with the overall event goals and constraints.\n\n4. **Create a Sustainability Timeline**:\n   Integrate the sustainability plan into the overall event timeline. Ensure that sustainability initiatives are scheduled appropriately and that all necessary actions are taken in a timely manner.\n\n5. **Budget Considerations**:\n   Review the budget breakdown to ensure that the sustainability plan is cost-effective and aligns with the total estimated budget:\n   <budget_breakdown>\n   {{BUDGET_BREAKDOWN}}\n   </budget_breakdown>\n\n6. **Communication Plan**:\n   Develop a communication plan to inform participants about the sustainability initiatives. Use the marketing and communication strategy to promote the event's eco-friendly practices:\n   <marketing_strategy>\n   {{MARKETING_STRATEGY}}\n   </marketing_strategy>\n\n7. **Vendor Management**:\n   Ensure that all vendors adhere to the sustainability plan. Include sustainability criteria in the vendor selection process and monitor their compliance throughout the event:\n   <vendor_management>\n   {{VENDOR_MANAGEMENT}}\n   </vendor_management>\n\n8. **Post-Event Evaluation**:\n   Include sustainability metrics in the post-event evaluation plan. Assess the effectiveness of the sustainability initiatives and identify areas for improvement in future events:\n   <post_event_evaluation>\n   {{POST_EVENT_EVALUATION}}\n   </post_event_evaluation>\n\n9. **Contingency Planning**:\n   Develop contingency plans for potential sustainability challenges, such as waste management issues or vendor non-compliance. Ensure that the contingency planning aligns with the overall event strategy:\n   <contingency_planning>\n   {{CONTINGENCY_PLANNING}}\n   </contingency_planning>\n\n10. **Finalize the Sustainability Plan**:\n    Compile all the information into a detailed sustainability plan that outlines the strategies, timelines, budget considerations, communication plans, vendor management, post-event evaluation, and contingency planning.\n\nEnsure that the sustainability plan is integrated into the comprehensive event strategy document and that all planning follows best practices, creates memorable experiences, accommodates diverse needs, stays within budget, prioritizes safety, incorporates sustainable practices, leverages technology, builds excitement, and measures success.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "BUDGET_BREAKDOWN",
-        "MARKETING_STRATEGY",
-        "VENDOR_MANAGEMENT",
-        "POST_EVENT_EVALUATION",
-        "CONTINGENCY_PLANNING"
-      ]
-    },
-    {
-      "subtask": "24. Compile all the information into a comprehensive event strategy document. -",
-      "tag": "EVENT_STRATEGY_DOCUMENT",
-      "constraints": [
-        {
-          "constraint": "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-          "validation_strategy": "code"
-        },
-        {
-          "constraint": "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to compile all the information gathered and planned in the previous steps into a comprehensive event strategy document. This document will serve as the blueprint for executing the corporate team-building event.\n\nTo accomplish this, follow these steps:\n\n1. **Review All Previous Steps**:\n   Carefully review the information and plans developed in the previous steps. This includes:\n   - Information Gathering: {{INFORMATION_GATHERING}}\n   - Planning Timeline: {{PLANNING_TIMELINE}}\n   - Budget Breakdown: {{BUDGET_BREAKDOWN}}\n   - Marketing Strategy: {{MARKETING_STRATEGY}}\n   - Venue Selection: {{VENUE_SELECTION}}\n   - Event Schedule: {{EVENT_SCHEDULE}}\n   - Icebreaker Plans: {{ICEBREAKER_PLANS}}\n   - Team Formation: {{TEAM_FORMATION}}\n   - Workshop Content: {{WORKSHOP_CONTENT}}\n   - Catering Plan: {{CATERING_PLAN}}\n   - Activity Logistics: {{ACTIVITY_LOGISTICS}}\n   - Transportation Plan: {{TRANSPORTATION_PLAN}}\n   - Registration Process: {{REGISTRATION_PROCESS}}\n   - Safety Plan: {{SAFETY_PLAN}}\n   - Vendor Management: {{VENDOR_MANAGEMENT}}\n   - Technology Plan: {{TECHNOLOGY_PLAN}}\n   - Decoration Strategy: {{DECORATION_STRATEGY}}\n   - Entertainment Plan: {{ENTERTAINMENT_PLAN}}\n   - Prize Strategy: {{PRIZE_STRATEGY}}\n   - Post-Event Evaluation: {{POST_EVENT_EVALUATION}}\n   - Accessibility Plan: {{ACCESSIBILITY_PLAN}}\n   - Sustainability Plan: {{SUSTAINABILITY_PLAN}}\n   - Contingency Planning: {{CONTINGENCY_PLANNING}}\n\n2. **Organize the Information**:\n   Structure the event strategy document in a logical and coherent manner. Use clear headings and subheadings to organize the content. Here is a suggested structure:\n   - **Executive Summary**: A brief overview of the event's objectives, key highlights, and expected outcomes.\n   - **Event Overview**: Detailed description of the event, including its purpose, goals, and target audience.\n   - **Planning Timeline**: The detailed planning timeline starting 6 months before the event with weekly milestones.\n   - **Budget Breakdown**: Comprehensive breakdown of the budget for venue rental, catering, entertainment, transportation, technology, and total estimated budget.\n   - **Marketing and Communication Strategy**: Detailed strategy for save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods.\n   - **Venue Selection**: Process for evaluating and selecting the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness.\n   - **Event Schedule**: Detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment.\n   - **Icebreaker Activities**: List of 15 icebreaker activities with detailed plans.\n   - **Team Formation Strategy**: Strategy for forming diverse teams with a mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event.\n   - **Workshop Content**: Content for leadership, innovation, communication, and wellness workshops.\n   - **Catering Plan**: Detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options.\n   - **Activity Logistics**: Logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.\n   - **Transportation Plan**: Plan for charter buses, parking management, shuttle service, and contingency plans.\n   - **Registration Process**: Process for online portal, on-site check-in, name tags, welcome packets, and staff training.\n   - **Safety Plan**: Comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting.\n   - **Vendor Management**: Strategy for vendor selection, contracts, payment schedules, and evaluation forms.\n   - **Technology Plan**: Plan for event app, AV equipment, WiFi, photography services, live streaming, and tech support.\n   - **Decoration Strategy**: Strategy for signage, team colors, photo backdrops, and sustainable options.\n   - **Entertainment Plan**: Plan for live band or DJ, emcee, interactive activities, and evening games.\n   - **Prize Strategy**: Strategy for team prizes, individual awards, participation gifts, and raffle prizes.\n   - **Post-Event Evaluation**: Plan for participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications.\n   - **Accessibility Plan**: Plan for ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation.\n   - **Sustainability Plan**: Plan for eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management.\n   - **Contingency Planning**: Plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns.\n\n3. **Compile the Document**:\n   Combine all the organized information into a single, cohesive document. Ensure that the document is well-structured, easy to read, and includes all necessary details for executing the event.\n\n4. **Review and Finalize**:\n   Review the compiled document to ensure accuracy, completeness, and clarity. Make any necessary adjustments to ensure that the document meets all requirements and standards.\n\n5. **Output the Event Strategy Document**:\n   Provide the final event strategy document as your answer. Ensure that the document is well-formatted and ready for use.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "PLANNING_TIMELINE",
-        "BUDGET_BREAKDOWN",
-        "MARKETING_STRATEGY",
-        "VENUE_SELECTION",
-        "EVENT_SCHEDULE",
-        "ICEBREAKER_PLANS",
-        "TEAM_FORMATION",
-        "WORKSHOP_CONTENT",
-        "CATERING_PLAN",
-        "ACTIVITY_LOGISTICS",
-        "TRANSPORTATION_PLAN",
-        "REGISTRATION_PROCESS",
-        "SAFETY_PLAN",
-        "VENDOR_MANAGEMENT",
-        "TECHNOLOGY_PLAN",
-        "DECORATION_STRATEGY",
-        "ENTERTAINMENT_PLAN",
-        "PRIZE_STRATEGY",
-        "POST_EVENT_EVALUATION",
-        "ACCESSIBILITY_PLAN",
-        "SUSTAINABILITY_PLAN",
-        "CONTINGENCY_PLANNING"
-      ]
-    }
-  ]
-}
\ No newline at end of file
diff --git a/docs/examples/m_decompose/m_decomp_result.py b/docs/examples/m_decompose/m_decomp_result.py
deleted file mode 100644
index 0c845ab9f..000000000
--- a/docs/examples/m_decompose/m_decomp_result.py
+++ /dev/null
@@ -1,1785 +0,0 @@
-# pytest: skip_always
-# Note: This is an example of an intermediary result from using decompose, not an example of how to use decompose.
-
-import textwrap
-
-import mellea
-
-if __name__ == "__main__":
-    m = mellea.start_session()
-
-    # 1. Gather all necessary information about the company, event requirements, and constraints. - - INFORMATION_GATHERING
-    information_gathering = m.instruct(
-        textwrap.dedent(
-            R"""
-         To gather all necessary information about the company, event requirements, and constraints, follow these steps:
-
-         1. **Company Information**:
-            - **Company Size**: Determine the number of employees (100-300).
-            - **Departments**: Identify the different departments within the company.
-            - **Employee Demographics**: Gather information about the diversity of employees, including age, seniority, and roles.
-            - **Company Culture**: Understand the company's values, mission, and current team dynamics.
-
-         2. **Event Requirements**:
-            - **Objectives**: Clearly define the goals of the event, such as strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-            - **Event Type**: Specify the type of event (e.g., corporate team-building event).
-            - **Duration**: Determine the start and end times of the event (8:00 AM to 8:00 PM).
-            - **Key Activities**: List the key activities planned for the event, such as registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment.
-
-         3. **Event Constraints**:
-            - **Budget**: Identify the budget constraints for different aspects of the event, including venue rental ($15,000-25,000), catering ($75-125 per person), entertainment and activities ($10,000-20,000), transportation ($3,000-8,000), technology ($5,000-10,000), and total estimated budget ($50,000-125,000).
-            - **Venue Requirements**: Specify the venue requirements, such as capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness.
-            - **Safety and Accessibility**: Ensure the event follows best practices for safety, accessibility, and sustainability.
-            - **Technology**: Identify the technology requirements, such as event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support.
-
-         4. **Additional Information**:
-            - **Marketing and Communication**: Gather information about the marketing and communication strategy, including save-the-date announcements, formal invitations, reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app.
-            - **Team Formation**: Understand the team formation strategy, including diverse mix of departments and seniority, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before the event.
-            - **Workshop Content**: Identify the content for leadership, innovation, communication, and wellness workshops.
-            - **Catering Plan**: Gather information about the catering plan, including breakfast, lunch, afternoon snacks, and dinner options.
-            - **Activity Logistics**: Understand the logistics for all planned activities, including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.
-            - **Transportation Plan**: Gather information about the transportation plan, including charter buses, parking management, shuttle service, and contingency plans.
-            - **Registration Process**: Understand the registration process, including online portal, on-site check-in, name tags, welcome packets, and staff training.
-            - **Safety Plan**: Gather information about the safety plan, including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting.
-            - **Vendor Management**: Understand the vendor management strategy, including selection criteria, contracts, payment schedules, and evaluation forms.
-            - **Technology Plan**: Gather information about the technology plan, including event app, AV equipment, WiFi, photography services, live streaming, and tech support.
-            - **Decoration Strategy**: Understand the decoration strategy, including signage, team colors, photo backdrops, and sustainable options.
-            - **Entertainment Plan**: Gather information about the entertainment plan, including live band or DJ, emcee, interactive activities, and evening games.
-            - **Prize Strategy**: Understand the prize strategy, including team prizes, individual awards, participation gifts, and raffle prizes.
-            - **Post-Event Evaluation**: Gather information about the post-event evaluation plan, including participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications.
-            - **Accessibility Plan**: Understand the accessibility plan, including ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation.
-            - **Sustainability Plan**: Gather information about the sustainability plan, including eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management.
-            - **Contingency Planning**: Understand the contingency planning for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns.
-
-         5. **Documentation**:
-            - Compile all the gathered information into a comprehensive document that will serve as the basis for the event strategy document.
-
-         By following these steps, you will gather all necessary information about the company, event requirements, and constraints to ensure a successful and well-organized corporate team-building event.
-         """.strip()
-        ),
-        requirements=[
-            "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-            "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-            "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-            "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-    )
-    assert information_gathering.value is not None, (
-        'ERROR: task "information_gathering" execution failed'
-    )
-
-    # 2. Create a detailed planning timeline starting 6 months before the event with weekly milestones. - - PLANNING_TIMELINE
-    planning_timeline = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a detailed planning timeline starting 6 months before the event with weekly milestones. Follow these steps to accomplish your task:
-
-         First, review the gathered information about the company, event requirements, and constraints from the previous step:
-         <gathered_information>
-         {{INFORMATION_GATHERING}}
-         </gathered_information>
-
-         Next, consider the key components of the event that need to be planned, such as venue selection, marketing and communication, team formation, workshops, catering, activities, transportation, registration, safety, vendor management, technology, decorations, entertainment, prizes, post-event evaluation, accessibility, sustainability, and contingency planning.
-
-         Break down the planning process into weekly milestones starting 6 months before the event. Ensure that each milestone is specific, measurable, achievable, relevant, and time-bound (SMART).
-
-         Here is a suggested structure for the planning timeline:
-
-         **6 Months Before the Event:**
-         - Finalize event objectives and key performance indicators (KPIs).
-         - Establish the event budget and allocate funds to different categories.
-         - Develop a high-level event plan and timeline.
-         - Identify and assemble the event planning team.
-         - Begin researching and evaluating potential venues.
-
-         **5 Months Before the Event:**
-         - Select and book the venue.
-         - Develop a detailed event schedule and share it with key stakeholders.
-         - Create a marketing and communication strategy.
-         - Begin designing the event branding and promotional materials.
-         - Start planning the team formation strategy.
-
-         **4 Months Before the Event:**
-         - Send save-the-date announcements to employees.
-         - Finalize the event schedule and share it with vendors and participants.
-         - Develop the workshop content and identify facilitators.
-         - Create a catering plan and send out a pre-event survey for dietary restrictions.
-         - Begin planning the icebreaker activities.
-
-         **3 Months Before the Event:**
-         - Send formal invitations to employees.
-         - Finalize the team formation strategy and assign teams.
-         - Develop the activity logistics and equipment lists.
-         - Create a transportation plan and arrange charter buses if necessary.
-         - Design the registration process and set up the online portal.
-
-         **2 Months Before the Event:**
-         - Send weekly reminder emails to employees.
-         - Finalize the catering plan and confirm menu options.
-         - Develop the safety plan and evacuation procedures.
-         - Create a vendor management strategy and finalize contracts.
-         - Design the technology plan and arrange AV equipment.
-
-         **1 Month Before the Event:**
-         - Send team assignments and welcome packets to employees.
-         - Finalize the decoration strategy and order necessary materials.
-         - Develop the entertainment plan and book a live band or DJ.
-         - Create a prize strategy and order prizes.
-         - Finalize the post-event evaluation plan.
-
-         **2 Weeks Before the Event:**
-         - Conduct a final walkthrough of the venue.
-         - Train staff on the registration process and safety protocols.
-         - Finalize the accessibility plan and make necessary accommodations.
-         - Develop a sustainability plan and implement eco-friendly practices.
-         - Create a contingency plan for potential emergencies.
-
-         **1 Week Before the Event:**
-         - Send a final reminder email to employees.
-         - Confirm all vendor arrangements and payment schedules.
-         - Finalize the event schedule and share it with participants.
-         - Prepare the welcome packets and name tags.
-         - Conduct a final review of the event strategy document.
-
-         Ensure that the planning timeline is comprehensive and covers all aspects of the event. The timeline should be flexible and allow for adjustments as needed.
-
-         Finally, write the detailed planning timeline starting 6 months before the event with weekly milestones. Your answer will serve as basis for the next steps.
-         """.strip()
-        ),
-        requirements=[
-            "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert planning_timeline.value is not None, (
-        'ERROR: task "planning_timeline" execution failed'
-    )
-
-    # 3. Develop a budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget. - - BUDGET_BREAKDOWN
-    budget_breakdown = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a detailed budget breakdown for the corporate team-building event. This budget should include estimates for venue rental, catering, entertainment, transportation, technology, and the total estimated budget.
-
-         To accomplish this, follow these steps:
-
-         1. **Review Gathered Information**:
-            First, review the information gathered about the company, event requirements, and constraints. This information will help you understand the scope and specific needs of the event:
-            <gathered_information>
-            {{INFORMATION_GATHERING}}
-            </gathered_information>
-
-         2. **Understand Budget Constraints**:
-            The event has specific budget constraints for each category:
-            - **Venue Rental**: $15,000 - $25,000
-            - **Catering**: $75 - $125 per person
-            - **Entertainment and Activities**: $10,000 - $20,000
-            - **Transportation**: $3,000 - $8,000
-            - **Technology**: $5,000 - $10,000
-            - **Total Estimated Budget**: $50,000 - $125,000
-
-         3. **Calculate Catering Costs**:
-            The catering cost is per person. The event will have 100-300 employees attending. Calculate the total catering cost based on the number of attendees and the per-person cost.
-
-         4. **Estimate Other Costs**:
-            Provide a detailed estimate for each of the remaining categories (venue rental, entertainment, transportation, and technology) within the specified budget ranges.
-
-         5. **Summarize Total Estimated Budget**:
-            Add up the estimated costs for each category to provide a total estimated budget for the event. Ensure that the total estimated budget falls within the specified range of $50,000 - $125,000.
-
-         6. **Provide Detailed Breakdown**:
-            Present the budget breakdown in a clear and organized manner. Include the following information for each category:
-            - **Category**: Name of the budget category (e.g., Venue Rental)
-            - **Estimated Cost**: The estimated cost for that category
-            - **Notes**: Any additional notes or considerations for that category
-
-         7. **Review and Adjust**:
-            Review your budget breakdown to ensure it is accurate and aligns with the event's requirements and constraints. Make any necessary adjustments to ensure the total estimated budget is within the specified range.
-
-         8. **Final Answer**:
-            Provide the detailed budget breakdown as your final answer. Ensure it is clear, concise, and adheres to the specified budget constraints.
-
-         Example Format:
-         - **Venue Rental**: $20,000
-            - Notes: Includes rental fee for the venue and basic setup.
-         - **Catering**: $25,000
-            - Notes: Based on 200 attendees at $125 per person.
-         - **Entertainment and Activities**: $15,000
-            - Notes: Includes costs for activities and entertainment.
-         - **Transportation**: $5,000
-            - Notes: Includes charter buses and shuttle service.
-         - **Technology**: $7,000
-            - Notes: Includes AV equipment, WiFi, and tech support.
-         - **Total Estimated Budget**: $72,000
-         """.strip()
-        ),
-        requirements=[
-            "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert budget_breakdown.value is not None, (
-        'ERROR: task "budget_breakdown" execution failed'
-    )
-
-    # 4. Design a marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods. - - MARKETING_STRATEGY
-    marketing_strategy = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a comprehensive marketing and communication strategy for a corporate team-building event. This strategy should ensure effective engagement and participation from all employees. Follow these steps to accomplish your task:
-
-         1. **Review Gathered Information**:
-            Begin by reviewing the information gathered about the company, event requirements, and constraints. This will help you tailor the marketing and communication strategy to the specific needs and preferences of the employees:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Understand the Planning Timeline**:
-            Familiarize yourself with the planning timeline to ensure that all marketing and communication activities are scheduled appropriately. This will help you create a timeline for save-the-date announcements, formal invitations, reminder emails, and internal campaigns:
-            <planning_timeline>
-            {{PLANNING_TIMELINE}}
-            </planning_timeline>
-
-         3. **Budget Considerations**:
-            Consider the budget breakdown to ensure that the marketing and communication strategy is cost-effective and aligns with the overall budget for the event:
-            <budget_breakdown>
-            {{BUDGET_BREAKDOWN}}
-            </budget_breakdown>
-
-         4. **Develop the Marketing and Communication Strategy**:
-            Create a detailed marketing and communication strategy that includes the following components:
-
-            - **Save-the-Date Announcements**:
-               Plan to send save-the-date announcements 4 months in advance. These announcements should be sent via email and should include the event date, purpose, and a brief overview of what to expect.
-
-            - **Formal Invitations**:
-               Design formal invitations to be sent 2 months before the event. These invitations should include detailed information about the event schedule, dress code, and any specific instructions or requirements.
-
-            - **Weekly Reminder Emails**:
-               Schedule weekly reminder emails leading up to the event. These emails should provide updates, reminders, and any additional information that may be relevant to the participants.
-
-            - **Internal Campaigns**:
-               Develop internal campaigns to build excitement and engagement. These campaigns can include posters, flyers, and announcements on internal communication platforms.
-
-            - **Dedicated Slack Channel**:
-               Create a dedicated Slack channel for event-related discussions, updates, and announcements. This channel will serve as a central hub for all event-related communication.
-
-            - **Executive Videos**:
-               Plan to create and share videos featuring executive messages about the event. These videos can be shared via email, internal communication platforms, and the dedicated Slack channel.
-
-            - **Mobile Event App**:
-               Develop a mobile event app that provides participants with access to the event schedule, maps, speaker information, and other relevant details. The app should also include features for messaging and networking.
-
-         5. **Ensure Consistency and Clarity**:
-            Ensure that all marketing and communication materials are consistent in tone, style, and branding. This will help create a cohesive and professional image for the event.
-
-         6. **Review and Finalize**:
-            Review the marketing and communication strategy to ensure that it meets all the requirements and aligns with the overall event goals. Make any necessary adjustments and finalize the strategy.
-
-         Your final answer should be a detailed marketing and communication strategy document that includes all the components mentioned above.
-         """.strip()
-        ),
-        requirements=[
-            "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "PLANNING_TIMELINE": planning_timeline.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-        },
-    )
-    assert marketing_strategy.value is not None, (
-        'ERROR: task "marketing_strategy" execution failed'
-    )
-
-    # 5. Develop a venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness. - - VENUE_SELECTION
-    venue_selection = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive venue selection process to evaluate and select the best venue for the corporate team-building event. Follow these steps to accomplish your task:
-
-         1. **Understand the Requirements**:
-            Review the gathered information about the company and event requirements, including the need to accommodate 100-300 employees. Ensure the venue selection process aligns with the overall event goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-
-         2. **Define Evaluation Criteria**:
-            Based on the event requirements, define the key criteria for evaluating potential venues. The criteria should include:
-            - **Capacity**: Ability to accommodate 100-300 people.
-            - **Accessibility**: Ease of access for all attendees, including those with disabilities.
-            - **Parking**: Adequate parking facilities for attendees and staff.
-            - **Indoor/Outdoor Space**: Availability of both indoor and outdoor spaces for various activities.
-            - **AV Capabilities**: Sufficient audio-visual equipment and support.
-            - **WiFi**: Reliable WiFi for 300+ devices.
-            - **Catering Facilities**: Ability to support breakfast, lunch, afternoon snacks, and dinner.
-            - **Accommodations**: Proximity to accommodations for out-of-town attendees, if necessary.
-            - **Cost-Effectiveness**: Budget-friendly options within the estimated budget of $15,000-25,000.
-
-         3. **Research Potential Venues**:
-            Identify at least 10 potential venues that meet the initial criteria. Gather detailed information about each venue, including:
-            - Location and contact information.
-            - Capacity and layout.
-            - Availability of required facilities and services.
-            - Cost estimates for rental and additional services.
-
-         4. **Create Evaluation Forms**:
-            Develop evaluation forms to systematically assess each venue against the defined criteria. The forms should include:
-            - Checklists for each criterion.
-            - Rating scales for subjective assessments.
-            - Space for notes and additional comments.
-
-         5. **Conduct Venue Visits or Virtual Tours**:
-            Schedule visits or virtual tours of the shortlisted venues. During the visits, evaluate:
-            - The overall ambiance and suitability for the event.
-            - The condition and functionality of facilities.
-            - The responsiveness and professionalism of the venue staff.
-
-         6. **Compare and Contrast Venues**:
-            Use the evaluation forms to compare and contrast the venues. Create a summary table or matrix that highlights the strengths and weaknesses of each venue based on the defined criteria.
-
-         7. **Select the Best Venue**:
-            Based on the evaluations, select the venue that best meets the event requirements and aligns with the budget. Consider factors such as overall value, flexibility, and the ability to create a memorable experience for attendees.
-
-         8. **Document the Selection Process**:
-            Prepare a detailed report documenting the venue selection process. The report should include:
-            - The defined evaluation criteria.
-            - The list of potential venues and their evaluations.
-            - The comparison and contrast of venues.
-            - The rationale for selecting the final venue.
-
-         9. **Finalize Venue Contract**:
-            Work with the selected venue to finalize the contract, ensuring all agreed-upon terms and conditions are clearly outlined. Include details such as:
-            - Rental costs and payment schedules.
-            - Cancellation policies.
-            - Additional services and their costs.
-
-         10. **Integrate with Overall Event Plan**:
-               Ensure the selected venue aligns with the overall event strategy document. Coordinate with other event planning components, such as catering, transportation, and technology, to ensure seamless integration.
-
-         By following these steps, you will develop a thorough and effective venue selection process that meets the event's requirements and contributes to its success.
-         """.strip()
-        ),
-        requirements=[
-            "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness"
-        ],
-        user_variables={},
-    )
-    assert venue_selection.value is not None, (
-        'ERROR: task "venue_selection" execution failed'
-    )
-
-    # 6. Design a detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment. - - EVENT_SCHEDULE
-    event_schedule = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a detailed event schedule from 8:00 AM to 8:00 PM for a corporate team-building event. The schedule should include the following key components:
-
-         1. **Registration and Breakfast (8:00 - 9:00 AM)**
-            - Plan for registration process and breakfast setup.
-            - Include details on coffee stations, pastries, and any other breakfast items.
-
-         2. **Opening Ceremony (9:00 - 9:30 AM)**
-            - Outline the opening ceremony, including the CEO's speech.
-            - Include any additional opening activities or announcements.
-
-         3. **Icebreaker Activities (9:30 - 10:30 AM)**
-            - Plan for icebreaker activities such as human bingo and speed networking.
-            - Include any necessary setup or facilitation details.
-
-         4. **Morning Workshops (10:30 AM - 12:30 PM)**
-            - Design tracks on leadership, innovation, communication, and wellness.
-            - Include details on workshop content, facilitators, and any required materials.
-
-         5. **Lunch (12:30 - 2:00 PM)**
-            - Plan for lunch with diverse menu options.
-            - Include details on catering setup, dietary restrictions, and any special considerations.
-
-         6. **Afternoon Team Challenges (2:00 - 5:00 PM)**
-            - Plan for team challenges such as scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments.
-            - Include details on equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.
-
-         7. **Awards Ceremony (5:00 - 5:30 PM)**
-            - Plan for the awards ceremony, including any necessary setup or facilitation details.
-            - Include details on award categories, presentation, and any additional activities.
-
-         8. **Dinner with Entertainment (5:30 - 8:00 PM)**
-            - Plan for dinner with three entree choices and a full bar.
-            - Include details on entertainment such as live band or DJ, emcee, interactive activities, and evening games.
-
-         To accomplish this task, follow these steps:
-
-         1. **Review Gathered Information**:
-            - Carefully review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Review Planning Timeline**:
-            - Review the planning timeline starting 6 months before the event with weekly milestones from the previous step:
-            <planning_timeline>
-            {{PLANNING_TIMELINE}}
-            </planning_timeline>
-
-         3. **Review Budget Breakdown**:
-            - Review the budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget from the previous step:
-            <budget_breakdown>
-            {{BUDGET_BREAKDOWN}}
-            </budget_breakdown>
-
-         4. **Review Marketing Strategy**:
-            - Review the marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods from the previous step:
-            <marketing_strategy>
-            {{MARKETING_STRATEGY}}
-            </marketing_strategy>
-
-         5. **Review Venue Selection**:
-            - Review the venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness from the previous step:
-            <venue_selection>
-            {{VENUE_SELECTION}}
-            </venue_selection>
-
-         6. **Design the Event Schedule**:
-            - Use the information gathered in the previous steps to design a detailed event schedule from 8:00 AM to 8:00 PM.
-            - Ensure the schedule includes all the key components mentioned above.
-            - Make sure the schedule is realistic, feasible, and aligns with the event's goals and constraints.
-
-         7. **Finalize the Schedule**:
-            - Review the designed event schedule to ensure it meets all the requirements and constraints.
-            - Make any necessary adjustments to ensure the schedule is comprehensive and detailed.
-
-         8. **Output the Event Schedule**:
-            - Provide the detailed event schedule as your final answer. Ensure the output is clear, concise, and well-organized.
-
-         Remember to adhere to the event's goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories. Ensure the schedule is inclusive, accessible, and sustainable, following best practices and leveraging technology where appropriate.
-         """.strip()
-        ),
-        requirements=[
-            "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "PLANNING_TIMELINE": planning_timeline.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "MARKETING_STRATEGY": marketing_strategy.value,
-            "VENUE_SELECTION": venue_selection.value,
-        },
-    )
-    assert event_schedule.value is not None, (
-        'ERROR: task "event_schedule" execution failed'
-    )
-
-    # 7. Create a list of 15 icebreaker activities with detailed plans. - - ICEBREAKER_PLANS
-    icebreaker_plans = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a list of 15 icebreaker activities with detailed plans for a corporate team-building event. These activities should be engaging, inclusive, and designed to foster team cohesion and collaboration among 100-300 employees.
-
-         To approach this task, follow these steps:
-
-         1. **Understand the Event Context**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Review the Event Schedule**:
-            Ensure that the icebreaker activities align with the event schedule, particularly the time slot allocated for icebreaker activities from 9:30 AM to 10:30 AM:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         3. **List of Icebreaker Activities**:
-            Create a list of 15 icebreaker activities. Each activity should include the following details:
-            - **Activity Name**: A clear and descriptive title.
-            - **Objective**: The purpose of the activity and how it contributes to team-building.
-            - **Materials Needed**: A list of any equipment or materials required.
-            - **Setup Instructions**: Step-by-step instructions for setting up the activity.
-            - **Instructions for Participants**: Clear guidelines on how to participate.
-            - **Duration**: The estimated time required for the activity.
-            - **Facilitator Notes**: Any special instructions or tips for the facilitator.
-            - **Safety Protocols**: Any safety considerations or guidelines.
-            - **Scoring System (if applicable)**: How the activity will be scored or evaluated.
-            - **Rotation Schedule (if applicable)**: How the activity will be rotated among teams.
-
-         4. **Diverse and Inclusive Activities**:
-            Ensure that the activities are diverse and inclusive, catering to different personalities, abilities, and preferences. Consider activities that can be adapted for various team sizes and dynamics.
-
-         5. **Engaging and Fun**:
-            The activities should be engaging and fun, designed to create a positive and memorable experience for all participants.
-
-         6. **Alignment with Event Goals**:
-            Ensure that the activities align with the overall goals of the event, which include strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-
-         Here is an example structure to guide your writing:
-         - **Activity 1: Human Knot**
-            - **Objective**: Promote teamwork and problem-solving.
-            - **Materials Needed**: None.
-            - **Setup Instructions**: Have participants stand in a circle.
-            - **Instructions for Participants**: Each person must hold hands with two people across from them to form a "human knot."
-            - **Duration**: 15-20 minutes.
-            - **Facilitator Notes**: Encourage communication and teamwork.
-            - **Safety Protocols**: Ensure participants are careful not to pull too hard.
-            - **Scoring System**: Not applicable.
-            - **Rotation Schedule**: Not applicable.
-
-         Repeat the above structure for all 15 icebreaker activities.
-
-         Ensure that each activity is clearly described and includes all the necessary details for successful execution.
-
-         Finally, compile the list of 15 icebreaker activities with detailed plans into a comprehensive document.
-         """.strip()
-        ),
-        requirements=[
-            "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-            "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-            "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-            "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-        },
-    )
-    assert icebreaker_plans.value is not None, (
-        'ERROR: task "icebreaker_plans" execution failed'
-    )
-
-    # 8. Develop a team formation strategy with diverse mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event. - - TEAM_FORMATION
-    team_formation = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a team formation strategy for a corporate team-building event. This strategy should ensure a diverse mix of departments and seniority levels, accommodate dietary restrictions, and assign teams two weeks before the event.
-
-         To accomplish this, follow these steps:
-
-         1. **Understand the Event Requirements**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Diverse Team Formation**:
-            Create a strategy to form teams with a diverse mix of departments and seniority levels. Each team should consist of 8-12 people. Ensure that the teams are balanced in terms of experience, roles, and departments to foster collaboration and learning.
-
-         3. **Pre-Event Survey**:
-            Design a pre-event survey to collect information about dietary restrictions and preferences from all participants. This survey should be distributed at least one month before the event to allow sufficient time for planning.
-
-         4. **Team Assignments**:
-            Develop a process for assigning participants to teams. This process should consider the survey responses regarding dietary restrictions and ensure that teams are formed in a way that accommodates these needs. Team assignments should be communicated to participants two weeks before the event.
-
-         5. **Team Identification**:
-            Assign unique names and colors to each team to facilitate easy identification and foster team spirit. Ensure that the names and colors are inclusive and appropriate for all participants.
-
-         6. **Communication Plan**:
-            Outline a communication plan for informing participants about their team assignments, including the team name, color, and any other relevant information. This plan should include the distribution of team assignments and any follow-up communications.
-
-         7. **Documentation**:
-            Document the team formation strategy, including the criteria used for team formation, the survey questions, the process for assigning teams, and the communication plan. This documentation will be included in the comprehensive event strategy document.
-
-         Ensure that your strategy aligns with the overall event goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-         """.strip()
-        ),
-        requirements=[
-            "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert team_formation.value is not None, (
-        'ERROR: task "team_formation" execution failed'
-    )
-
-    # 9. Design content for leadership, innovation, communication, and wellness workshops. - - WORKSHOP_CONTENT
-    workshop_content = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design content for leadership, innovation, communication, and wellness workshops as part of the corporate team-building event. Follow these steps to accomplish your task:
-
-         1. **Understand the Workshop Requirements**:
-            - The workshops should focus on four key areas: leadership, innovation, communication, and wellness.
-            - Each workshop should be engaging, informative, and relevant to the attendees, who are employees from various departments and seniority levels.
-            - The workshops should align with the overall goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-
-         2. **Review Gathered Information**:
-            - Use the information gathered in the previous steps to understand the company's needs, event requirements, and constraints:
-               <information_gathering>
-               {{INFORMATION_GATHERING}}
-               </information_gathering>
-
-         3. **Design Leadership Workshop Content**:
-            - Create a workshop that focuses on leadership case studies, practical exercises, and group discussions.
-            - Include real-world examples and interactive activities that encourage participants to apply leadership principles.
-            - Ensure the content is relevant to both current leaders and those aspiring to leadership roles.
-
-         4. **Design Innovation Workshop Content**:
-            - Develop a workshop that emphasizes innovation brainstorming, creative problem-solving, and idea generation.
-            - Incorporate activities that encourage out-of-the-box thinking and collaboration.
-            - Provide tools and techniques that participants can use to foster innovation within their teams.
-
-         5. **Design Communication Workshop Content**:
-            - Create a workshop that covers effective communication strategies, active listening, and conflict resolution.
-            - Include exercises that help participants practice clear and concise communication.
-            - Address both verbal and non-verbal communication skills.
-
-         6. **Design Wellness Workshop Content**:
-            - Develop a workshop that focuses on wellness meditation, stress management, and work-life balance.
-            - Incorporate activities that promote physical and mental well-being.
-            - Provide practical tips and techniques that participants can integrate into their daily routines.
-
-         7. **Ensure Alignment with Event Schedule**:
-            - Refer to the detailed event schedule to ensure the workshops fit within the allocated time slots:
-               <event_schedule>
-               {{EVENT_SCHEDULE}}
-               </event_schedule>
-
-         8. **Consider Team Formation Strategy**:
-            - Take into account the team formation strategy to ensure the workshops cater to diverse groups:
-               <team_formation>
-               {{TEAM_FORMATION}}
-               </team_formation>
-
-         9. **Create Detailed Workshop Plans**:
-            - For each workshop, provide a detailed plan that includes:
-               - Objectives and learning outcomes
-               - Agenda and timeline
-               - Materials and resources needed
-               - Facilitator guidelines
-               - Participant activities and exercises
-               - Evaluation methods
-
-         10. **Review and Finalize**:
-               - Ensure the workshop content aligns with the overall event goals and constraints.
-               - Make any necessary adjustments to ensure the workshops are engaging, informative, and relevant to the attendees.
-
-         Your final answer should be a detailed plan for each of the four workshops, including all the elements listed above.
-         """.strip()
-        ),
-        requirements=[
-            "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-            "TEAM_FORMATION": team_formation.value,
-        },
-    )
-    assert workshop_content.value is not None, (
-        'ERROR: task "workshop_content" execution failed'
-    )
-
-    # 10. Create a detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options. - - CATERING_PLAN
-    catering_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a detailed catering plan for the corporate team-building event. The catering plan should include options for breakfast, lunch, afternoon snacks, and dinner, ensuring a diverse menu that accommodates various dietary restrictions and preferences.
-
-         To approach this task, follow these steps:
-
-         1. **Review Gathered Information**:
-            Begin by reviewing the information gathered about the company and event requirements:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Understand the Event Schedule**:
-            Familiarize yourself with the event schedule to ensure the catering plan aligns with the timing of meals and breaks:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         3. **Consider Dietary Restrictions**:
-            Use the team formation strategy, which includes a pre-event survey for dietary restrictions and preferences, to ensure the catering plan accommodates all attendees:
-            <team_formation>
-            {{TEAM_FORMATION}}
-            </team_formation>
-
-         4. **Breakfast Options**:
-            Plan a breakfast menu that includes a coffee station and pastries. Ensure there are options for different dietary needs, such as gluten-free, vegan, and lactose-free choices.
-
-         5. **Lunch Options**:
-            Design a lunch buffet with a variety of options, including a salad bar and hot entrees. Provide diverse menu choices to cater to different tastes and dietary restrictions.
-
-         6. **Afternoon Snacks**:
-            Plan for afternoon snacks that are light and refreshing. Consider options like fruits, vegetables, and healthy snacks to keep energy levels up during the event.
-
-         7. **Dinner Options**:
-            Create a dinner menu with three entree choices and a full bar. Ensure there are options for different dietary needs and preferences, such as vegetarian, vegan, and gluten-free choices.
-
-         8. **Allergen Labeling**:
-            Include allergen labeling for all food items to ensure the safety and well-being of all attendees.
-
-         9. **Sustainability Considerations**:
-            Incorporate sustainable practices into the catering plan, such as using reusable serving ware and minimizing food waste.
-
-         10. **Budget Constraints**:
-               Ensure the catering plan stays within the budget constraints outlined in the budget breakdown:
-               <budget_breakdown>
-               {{BUDGET_BREAKDOWN}}
-               </budget_breakdown>
-
-         11. **Finalize the Catering Plan**:
-               Compile all the information into a detailed catering plan that includes timings, menu options, and any special considerations.
-
-         Your final answer should be a comprehensive catering plan that meets all the requirements and constraints of the event.
-         """.strip()
-        ),
-        requirements=[
-            "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-            "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-            "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-            "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-            "TEAM_FORMATION": team_formation.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-        },
-    )
-    assert catering_plan.value is not None, (
-        'ERROR: task "catering_plan" execution failed'
-    )
-
-    # 11. Develop logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules. - - ACTIVITY_LOGISTICS
-    activity_logistics = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop detailed logistics for all planned activities for the corporate team-building event. This includes creating equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.
-
-         To approach this task, follow these steps:
-
-         1. **Review the Event Schedule and Activity Plans**:
-            - Carefully review the event schedule and the list of planned activities from the previous steps. These include icebreaker activities, workshops, team challenges, and other events.
-            - Ensure you have a clear understanding of the timeline and the sequence of activities.
-
-         2. **Create Equipment Lists**:
-            - For each activity, identify the necessary equipment and materials required.
-            - Ensure that the equipment lists are comprehensive and include all items needed for smooth execution.
-
-         3. **Develop Setup Instructions**:
-            - Provide detailed setup instructions for each activity.
-            - Include information on how to arrange the space, set up equipment, and prepare the area for participants.
-
-         4. **Establish Safety Protocols**:
-            - Develop safety protocols for each activity to ensure the well-being of all participants.
-            - Include guidelines for emergency procedures, first aid, and any specific safety measures related to the activity.
-
-         5. **Prepare Facilitator Guides**:
-            - Create facilitator guides that outline the roles and responsibilities of the activity facilitators.
-            - Include step-by-step instructions, tips for engaging participants, and any other relevant information.
-
-         6. **Design Scoring Systems**:
-            - For competitive activities, design scoring systems that are fair and transparent.
-            - Ensure that the scoring criteria are clearly communicated to all participants.
-
-         7. **Plan Rotation Schedules**:
-            - Develop rotation schedules for activities that involve multiple groups or teams.
-            - Ensure that the schedules are efficient and allow for smooth transitions between activities.
-
-         8. **Integrate with Other Plans**:
-            - Ensure that the activity logistics align with the catering plan, transportation plan, and other relevant aspects of the event.
-            - Coordinate with the technology plan to ensure that any necessary AV equipment or WiFi access is available.
-
-         9. **Review and Finalize**:
-            - Review all the logistics plans to ensure they are comprehensive and practical.
-            - Make any necessary adjustments to ensure that the activities run smoothly and safely.
-
-         Here is an example structure to guide your writing:
-         - **Activity Name**: [Name of the activity]
-         - **Equipment List**: [List of required equipment]
-         - **Setup Instructions**: [Detailed setup instructions]
-         - **Safety Protocols**: [Safety guidelines and emergency procedures]
-         - **Facilitator Guide**: [Roles and responsibilities, step-by-step instructions]
-         - **Scoring System**: [Scoring criteria and guidelines]
-         - **Rotation Schedule**: [Schedule for team rotations]
-
-         Ensure that each section is clearly outlined and provides all necessary information for the successful execution of the activity.
-
-         Finally, compile all the logistics plans into a detailed document that can be easily referenced during the event planning and execution phases.
-         """.strip()
-        ),
-        requirements=[
-            "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules"
-        ],
-        user_variables={},
-    )
-    assert activity_logistics.value is not None, (
-        'ERROR: task "activity_logistics" execution failed'
-    )
-
-    # 12. Create a transportation plan with charter buses, parking management, shuttle service, and contingency plans. - - TRANSPORTATION_PLAN
-    transportation_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a comprehensive transportation plan for the corporate team-building event. This plan should include charter buses, parking management, shuttle service, and contingency plans. Follow these steps to accomplish your task:
-
-         1. **Review Gathered Information**:
-            Start by reviewing the information gathered about the company, event requirements, and constraints. This will help you understand the specific needs and logistics of the event:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Understand the Event Schedule**:
-            Familiarize yourself with the detailed event schedule to ensure that the transportation plan aligns with the timing and logistics of the event:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         3. **Develop Charter Bus Plan**:
-            Create a plan for charter buses that includes:
-            - Number of buses required based on the number of attendees.
-            - Pick-up and drop-off locations.
-            - Schedule for bus arrivals and departures.
-            - Cost estimates and budget considerations.
-
-         4. **Design Parking Management Plan**:
-            Develop a parking management plan that includes:
-            - Availability of parking spaces at the venue.
-            - Designated parking areas for attendees, staff, and vendors.
-            - Parking fees and payment methods.
-            - Accessibility considerations for attendees with disabilities.
-
-         5. **Create Shuttle Service Plan**:
-            Outline a shuttle service plan that includes:
-            - Routes and schedules for shuttles.
-            - Pick-up and drop-off points.
-            - Frequency of shuttle services.
-            - Cost estimates and budget considerations.
-
-         6. **Develop Contingency Plans**:
-            Prepare contingency plans for potential issues such as:
-            - Weather-related delays or cancellations.
-            - Mechanical failures of buses or shuttles.
-            - Unexpected changes in attendee numbers.
-            - Alternative transportation options in case of emergencies.
-
-         7. **Integrate with Other Logistics**:
-            Ensure that the transportation plan is integrated with other event logistics, such as registration, catering, and activities. This will help ensure a smooth and coordinated event experience.
-
-         8. **Finalize the Transportation Plan**:
-            Compile all the information into a detailed transportation plan that includes all the elements mentioned above. Ensure that the plan is clear, organized, and easy to follow.
-
-         Your final answer should be a comprehensive transportation plan that addresses all the requirements and considerations mentioned above.
-         """.strip()
-        ),
-        requirements=[
-            "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-        },
-    )
-    assert transportation_plan.value is not None, (
-        'ERROR: task "transportation_plan" execution failed'
-    )
-
-    # 13. Design a registration process with online portal, on-site check-in, name tags, welcome packets, and staff training. - - REGISTRATION_PROCESS
-    registration_process = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a comprehensive registration process for the corporate team-building event. This process should include an online portal, on-site check-in, name tags, welcome packets, and staff training. Follow these steps to accomplish your task:
-
-         1. **Online Portal**:
-               - Design an online registration portal that allows employees to register for the event.
-               - Ensure the portal collects necessary information such as name, department, dietary restrictions, and any special needs.
-               - Include a confirmation email feature that sends registration details and event information to participants.
-
-         2. **On-Site Check-In**:
-               - Develop a streamlined on-site check-in process to ensure smooth and efficient entry for all attendees.
-               - Plan for check-in stations with clear signage and trained staff to assist participants.
-               - Consider using technology such as QR codes or barcode scanners to expedite the check-in process.
-
-         3. **Name Tags**:
-               - Design and prepare name tags for all attendees.
-               - Include the participant's name, department, and any additional information that may be relevant (e.g., dietary restrictions, accessibility needs).
-               - Ensure name tags are durable, easy to read, and can be worn comfortably throughout the event.
-
-         4. **Welcome Packets**:
-               - Create welcome packets that include essential event information such as the schedule, map of the venue, and any necessary forms or documents.
-               - Include a welcome letter from the event organizers or company executives.
-               - Add promotional items or swag to the packets to enhance the participant experience.
-
-         5. **Staff Training**:
-               - Develop a training program for event staff to ensure they are prepared to handle registration, check-in, and any issues that may arise.
-               - Train staff on the use of the online portal, check-in technology, and how to assist participants with special needs.
-               - Conduct mock drills to simulate the registration process and identify any potential issues or areas for improvement.
-
-         6. **Integration with Other Plans**:
-               - Ensure the registration process aligns with the overall event schedule, transportation plan, and safety plan.
-               - Coordinate with the technology plan to integrate any necessary tech solutions for registration and check-in.
-               - Consider the accessibility plan to ensure the registration process is inclusive and accommodates all participants.
-
-         7. **Contingency Planning**:
-               - Develop a contingency plan for potential issues such as technical difficulties with the online portal, high check-in volumes, or last-minute registrations.
-               - Ensure staff are trained to handle these scenarios and have backup plans in place.
-
-         8. **Review and Finalize**:
-               - Review the registration process to ensure it meets all requirements and aligns with the event's goals.
-               - Make any necessary adjustments and finalize the registration process.
-
-         Use the information gathered in the previous steps to guide your design. Ensure the registration process is user-friendly, efficient, and aligns with the overall event strategy.
-
-         <information_gathering>
-         {{INFORMATION_GATHERING}}
-         </information_gathering>
-
-         <planning_timeline>
-         {{PLANNING_TIMELINE}}
-         </planning_timeline>
-
-         <budget_breakdown>
-         {{BUDGET_BREAKDOWN}}
-         </budget_breakdown>
-
-         <marketing_strategy>
-         {{MARKETING_STRATEGY}}
-         </marketing_strategy>
-
-         <venue_selection>
-         {{VENUE_SELECTION}}
-         </venue_selection>
-
-         <event_schedule>
-         {{EVENT_SCHEDULE}}
-         </event_schedule>
-
-         <icebreaker_plans>
-         {{ICEBREAKER_PLANS}}
-         </icebreaker_plans>
-
-         <team_formation>
-         {{TEAM_FORMATION}}
-         </team_formation>
-
-         <workshop_content>
-         {{WORKSHOP_CONTENT}}
-         </workshop_content>
-
-         <catering_plan>
-         {{CATERING_PLAN}}
-         </catering_plan>
-
-         <activity_logistics>
-         {{ACTIVITY_LOGISTICS}}
-         </activity_logistics>
-
-         <transportation_plan>
-         {{TRANSPORTATION_PLAN}}
-         </transportation_plan>
-         """.strip()
-        ),
-        requirements=[
-            "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "PLANNING_TIMELINE": planning_timeline.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "MARKETING_STRATEGY": marketing_strategy.value,
-            "VENUE_SELECTION": venue_selection.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-            "ICEBREAKER_PLANS": icebreaker_plans.value,
-            "TEAM_FORMATION": team_formation.value,
-            "WORKSHOP_CONTENT": workshop_content.value,
-            "CATERING_PLAN": catering_plan.value,
-            "ACTIVITY_LOGISTICS": activity_logistics.value,
-            "TRANSPORTATION_PLAN": transportation_plan.value,
-        },
-    )
-    assert registration_process.value is not None, (
-        'ERROR: task "registration_process" execution failed'
-    )
-
-    # 14. Develop a comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting. - - SAFETY_PLAN
-    safety_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive safety plan for the corporate team-building event. This plan should ensure the safety and well-being of all participants and staff. Follow these steps to accomplish your task:
-
-         1. **Understand the Event Details**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Identify Key Safety Components**:
-            The safety plan should include the following components:
-            - **Insurance**: Ensure that the event has adequate insurance coverage for all activities and participants.
-            - **First Aid Stations**: Plan for the setup of first aid stations at strategic locations within the venue.
-            - **Evacuation Procedures**: Develop clear evacuation procedures in case of emergencies.
-            - **Weather Contingencies**: Prepare contingency plans for adverse weather conditions.
-            - **Food Safety**: Implement food safety measures, including allergen labeling and proper handling procedures.
-            - **Security Personnel**: Arrange for security personnel to be present throughout the event.
-            - **Incident Reporting**: Establish a system for reporting and managing incidents during the event.
-
-         3. **Create Detailed Plans for Each Component**:
-            - **Insurance**: Specify the type and amount of insurance required, and ensure that all vendors and participants are covered.
-            - **First Aid Stations**: Determine the number and location of first aid stations, and ensure that they are staffed by qualified medical personnel.
-            - **Evacuation Procedures**: Develop a clear and concise evacuation plan, including designated assembly points and communication protocols.
-            - **Weather Contingencies**: Prepare alternative plans for outdoor activities in case of bad weather, including indoor alternatives and rescheduling options.
-            - **Food Safety**: Work with caterers to ensure that all food is prepared and served safely, with clear labeling of allergens.
-            - **Security Personnel**: Hire and brief security personnel on their roles and responsibilities, including crowd control and emergency response.
-            - **Incident Reporting**: Create a system for reporting incidents, including forms and protocols for documenting and addressing issues.
-
-         4. **Review and Finalize the Safety Plan**:
-            Ensure that the safety plan is comprehensive and addresses all potential risks and contingencies. Make any necessary adjustments to ensure that the plan is practical and effective.
-
-         5. **Output the Safety Plan**:
-            Provide the detailed safety plan as your final answer. The plan should be clear, concise, and easy to follow, ensuring that all safety measures are in place for a successful event.
-         """.strip()
-        ),
-        requirements=[
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert safety_plan.value is not None, 'ERROR: task "safety_plan" execution failed'
-
-    # 15. Create a vendor management strategy with selection criteria, contracts, payment schedules, and evaluation forms. - - VENDOR_MANAGEMENT
-    vendor_management = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a comprehensive vendor management strategy for the corporate team-building event. This strategy should include selection criteria, contracts, payment schedules, and evaluation forms. Follow these steps to accomplish your task:
-
-         1. **Understand the Requirements**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Define Selection Criteria**:
-            Develop a set of selection criteria for vendors. Consider factors such as:
-            - Experience and reputation
-            - Cost-effectiveness
-            - Availability and capacity
-            - Quality of services or products
-            - Compatibility with event goals and values
-            - Sustainability practices
-            - Customer reviews and references
-
-         3. **Create Contract Templates**:
-            Design standard contract templates that outline:
-            - Scope of work
-            - Deliverables
-            - Timeline and milestones
-            - Payment terms
-            - Cancellation and refund policies
-            - Liability and insurance requirements
-            - Confidentiality and data protection clauses
-
-         4. **Develop Payment Schedules**:
-            Establish payment schedules for each vendor category (e.g., venue rental, catering, entertainment, transportation, technology). Consider:
-            - Deposit amounts and due dates
-            - Progress payments tied to milestones
-            - Final payments upon completion
-            - Payment methods and invoicing procedures
-
-         5. **Design Evaluation Forms**:
-            Create evaluation forms to assess vendor performance. Include sections for:
-            - Quality of services or products
-            - Timeliness and reliability
-            - Professionalism and communication
-            - Adherence to budget and contract terms
-            - Customer feedback and satisfaction
-            - Recommendations for future events
-
-         6. **Compile the Vendor Management Strategy**:
-            Combine all the above elements into a cohesive vendor management strategy document. Ensure it is clear, detailed, and aligned with the event's goals and constraints.
-
-         Your final answer should be a comprehensive vendor management strategy document that includes selection criteria, contract templates, payment schedules, and evaluation forms.
-         """.strip()
-        ),
-        requirements=[
-            "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert vendor_management.value is not None, (
-        'ERROR: task "vendor_management" execution failed'
-    )
-
-    # 16. Design a technology plan with event app, AV equipment, WiFi, photography services, live streaming, and tech support. - - TECHNOLOGY_PLAN
-    technology_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a comprehensive technology plan for the corporate team-building event. This plan should ensure seamless integration of technology to enhance the event experience, facilitate smooth operations, and support all planned activities.
-
-         To accomplish this, follow these steps:
-
-         1. **Event App**:
-               - Design an event app that will serve as a central hub for scheduling, messaging, and real-time updates.
-               - Include features such as personalized schedules, team assignments, interactive maps, and push notifications.
-               - Ensure the app is user-friendly and accessible on both iOS and Android platforms.
-
-         2. **AV Equipment**:
-               - Plan for all necessary audio-visual equipment, including microphones, speakers, projectors, and screens.
-               - Ensure that the AV setup is compatible with the venue's infrastructure and meets the requirements for presentations, workshops, and the opening ceremony.
-
-         3. **WiFi**:
-               - Arrange for robust WiFi coverage capable of supporting 300+ devices simultaneously.
-               - Work with the venue and internet service providers to ensure reliable connectivity throughout the event.
-
-         4. **Photography Services**:
-               - Hire professional photographers to capture key moments during the event.
-               - Plan for photo backdrops, designated photo areas, and a system for sharing photos with participants post-event.
-
-         5. **Live Streaming**:
-               - Set up live streaming capabilities for any sessions that need to be broadcast to remote participants or recorded for future reference.
-               - Ensure high-quality video and audio streaming with minimal latency.
-
-         6. **Tech Support**:
-               - Assign a dedicated tech support team to troubleshoot any issues that arise during the event.
-               - Provide clear contact information and a quick response protocol for technical difficulties.
-
-         7. **Integration with Other Plans**:
-               - Coordinate with the marketing and communication strategy to ensure the event app and other technology tools are promoted effectively.
-               - Align with the registration process to integrate the event app with the online portal and on-site check-in.
-
-         8. **Safety and Contingency**:
-               - Include backup plans for technology failures, such as alternative AV setups and backup internet connections.
-               - Ensure that all technology plans comply with the safety plan and contingency planning.
-
-         9. **Budget Considerations**:
-               - Estimate the costs for each technology component and ensure they fit within the overall budget.
-               - Prioritize cost-effective solutions that meet the event's requirements without compromising quality.
-
-         10. **Documentation**:
-               - Create detailed documentation for each technology component, including setup instructions, user guides, and troubleshooting tips.
-               - Share this documentation with relevant stakeholders, including event staff, vendors, and participants.
-
-         Use the gathered information and previous steps to inform your technology plan. Ensure that all technology solutions are scalable, reliable, and enhance the overall event experience.
-
-         Finally, compile your technology plan into a clear and concise document that can be integrated into the comprehensive event strategy document.
-         """.strip()
-        ),
-        requirements=[
-            "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={},
-    )
-    assert technology_plan.value is not None, (
-        'ERROR: task "technology_plan" execution failed'
-    )
-
-    # 17. Develop a decoration strategy with signage, team colors, photo backdrops, and sustainable options. - - DECORATION_STRATEGY
-    decoration_strategy = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive decoration strategy for the corporate team-building event. This strategy should focus on creating an engaging and visually appealing environment that aligns with the event's goals and themes. Follow these steps to accomplish your task:
-
-         1. **Understand the Event Requirements**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Review the Event Schedule and Theme**:
-            Ensure that the decoration strategy aligns with the event schedule and overall theme. Refer to the event schedule and other relevant plans:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         3. **Develop Signage Strategy**:
-            Create a plan for signage that includes:
-            - Welcome signs at the entrance
-            - Directional signs for different event areas
-            - Informational signs for activities and workshops
-            - Team identification signs
-            Ensure that all signage is clear, visually appealing, and consistent with the event's branding.
-
-         4. **Design Team Colors and Identification**:
-            Develop a strategy for using team colors to identify different teams. This can include:
-            - Color-coded name tags and lanyards
-            - Team-specific decorations and signage
-            - Color-coordinated table settings and seating arrangements
-            Ensure that the team colors are easily distinguishable and contribute to a cohesive visual theme.
-
-         5. **Create Photo Backdrops**:
-            Design photo backdrops that are visually appealing and align with the event's theme. Consider:
-            - Themed backdrops for different event areas
-            - Customizable backdrops that can be personalized with team names or slogans
-            - Backdrops that incorporate the company's branding and colors
-            Ensure that the photo backdrops are easily accessible and encourage participants to take photos.
-
-         6. **Incorporate Sustainable Options**:
-            Develop a strategy for incorporating sustainable decoration options. This can include:
-            - Using reusable or recyclable materials
-            - Choosing eco-friendly signage and backdrops
-            - Implementing digital signage where possible
-            - Ensuring proper waste management and recycling practices
-            Ensure that the sustainable options are practical and do not compromise the visual appeal of the decorations.
-
-         7. **Review and Finalize the Strategy**:
-            Ensure that the decoration strategy is comprehensive and aligns with the event's goals and requirements. Make any necessary adjustments to ensure that the strategy is practical and effective.
-
-         Finally, write the decoration strategy document that includes all the above elements. This document will serve as a guide for implementing the decoration strategy during the event.
-         """.strip()
-        ),
-        requirements=[
-            "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-        },
-    )
-    assert decoration_strategy.value is not None, (
-        'ERROR: task "decoration_strategy" execution failed'
-    )
-
-    # 18. Create an entertainment plan with live band or DJ, emcee, interactive activities, and evening games. - - ENTERTAINMENT_PLAN
-    entertainment_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create an entertainment plan for the corporate team-building event. The plan should include a live band or DJ, an emcee, interactive activities, and evening games. Follow these steps to accomplish your task:
-
-         1. **Review the Event Schedule**:
-            Ensure that the entertainment plan aligns with the event schedule. You can refer to the event schedule from the previous step:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         2. **Select Entertainment Options**:
-            Choose between a live band or a DJ for the event. Consider the preferences of the attendees and the overall theme of the event. Additionally, decide on an emcee who will guide the event and engage the audience.
-
-         3. **Plan Interactive Activities**:
-            Develop a list of interactive activities that will engage the attendees. These activities should be fun, inclusive, and align with the team-building goals of the event. Examples include trivia games, karaoke, and dance-offs.
-
-         4. **Design Evening Games**:
-            Create a list of evening games that will keep the attendees entertained and engaged. These games should be suitable for the time of day and the overall atmosphere of the event. Examples include casino night, poker tournaments, and photo booths.
-
-         5. **Coordinate with Other Plans**:
-            Ensure that the entertainment plan coordinates with other aspects of the event, such as the catering plan, technology plan, and decoration strategy. You can refer to the following plans from the previous steps:
-            <catering_plan>
-            {{CATERING_PLAN}}
-            </catering_plan>
-            <technology_plan>
-            {{TECHNOLOGY_PLAN}}
-            </technology_plan>
-            <decoration_strategy>
-            {{DECORATION_STRATEGY}}
-            </decoration_strategy>
-
-         6. **Create a Detailed Entertainment Plan**:
-            Write a detailed entertainment plan that includes the following information:
-            - **Live Band or DJ**: Specify the type of entertainment, the duration, and any specific requirements.
-            - **Emcee**: Provide details about the emcee, including their role and responsibilities.
-            - **Interactive Activities**: List the interactive activities, their duration, and any necessary equipment or setup.
-            - **Evening Games**: Describe the evening games, their duration, and any specific instructions or rules.
-
-         Ensure that the entertainment plan is comprehensive and covers all aspects of the event. The plan should be clear, concise, and easy to follow.
-
-         Finally, provide the detailed entertainment plan as your answer.
-         """.strip()
-        ),
-        requirements=[
-            "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={
-            "EVENT_SCHEDULE": event_schedule.value,
-            "CATERING_PLAN": catering_plan.value,
-            "TECHNOLOGY_PLAN": technology_plan.value,
-            "DECORATION_STRATEGY": decoration_strategy.value,
-        },
-    )
-    assert entertainment_plan.value is not None, (
-        'ERROR: task "entertainment_plan" execution failed'
-    )
-
-    # 19. Design a prize strategy with team prizes, individual awards, participation gifts, and raffle prizes. - - PRIZE_STRATEGY
-    prize_strategy = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a prize strategy for the corporate team-building event. The prize strategy should include team prizes, individual awards, participation gifts, and raffle prizes. Follow these steps to accomplish your task:
-
-         1. **Understand the Event Context**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Define Prize Categories**:
-            Identify the different categories of prizes needed for the event. These should include:
-            - **Team Prizes**: Prizes for the top-performing teams, such as first, second, and third place.
-            - **Individual Awards**: Recognition for outstanding individual performances or contributions.
-            - **Participation Gifts**: Small gifts or tokens of appreciation for all attendees.
-            - **Raffle Prizes**: Prizes to be raffled off during the event, which can be won by any attendee.
-
-         3. **Determine Prize Values**:
-            Based on the budget breakdown and the overall event budget, determine the appropriate values for each prize category. Ensure that the prize strategy aligns with the total estimated budget:
-            <budget_breakdown>
-            {{BUDGET_BREAKDOWN}}
-            </budget_breakdown>
-
-         4. **Plan Team Prizes**:
-            Design a tiered prize structure for team prizes. For example:
-            - **First Place Team Prize**: $500 value
-            - **Second Place Team Prize**: $300 value
-            - **Third Place Team Prize**: $200 value
-
-         5. **Plan Individual Awards**:
-            Identify criteria for individual awards, such as "Most Innovative Idea," "Best Team Player," or "Outstanding Leadership." Determine the type and value of each individual award.
-
-         6. **Plan Participation Gifts**:
-            Choose small, meaningful gifts that can be given to all attendees. These could include branded merchandise, gift cards, or other tokens of appreciation.
-
-         7. **Plan Raffle Prizes**:
-            Select a variety of raffle prizes that appeal to a broad range of attendees. Consider including high-value items, experiences, or other exciting prizes.
-
-         8. **Integrate with Event Schedule**:
-            Ensure that the prize strategy aligns with the event schedule, including when and how prizes will be awarded. Review the event schedule from the previous step:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         9. **Document the Prize Strategy**:
-            Compile all the information into a detailed prize strategy document. Include the following sections:
-            - **Team Prizes**: Description and value of each team prize.
-            - **Individual Awards**: Criteria and description of each individual award.
-            - **Participation Gifts**: Description and distribution plan for participation gifts.
-            - **Raffle Prizes**: Description and selection process for raffle prizes.
-
-         10. **Review and Finalize**:
-               Review the prize strategy to ensure it meets all event requirements and aligns with the overall event goals. Make any necessary adjustments to ensure clarity and completeness.
-
-         Your final answer should be a detailed prize strategy document that includes all the above information.
-         """.strip()
-        ),
-        requirements=[
-            "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-        },
-    )
-    assert prize_strategy.value is not None, (
-        'ERROR: task "prize_strategy" execution failed'
-    )
-
-    # 20. Develop a post-event evaluation plan with participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications. - - POST_EVENT_EVALUATION
-    post_event_evaluation = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive post-event evaluation plan for the corporate team-building event. This plan should include the following components:
-
-         1. **Participant Survey**:
-            - Design a survey to be sent within 24 hours of the event.
-            - Include questions that assess the overall experience, specific activities, workshops, catering, and any areas for improvement.
-            - Ensure the survey is concise, easy to complete, and covers all key aspects of the event.
-
-         2. **Debriefing Sessions**:
-            - Plan debriefing sessions with the event planning team and key stakeholders.
-            - Schedule these sessions within a week after the event to discuss what went well, what could be improved, and any lessons learned.
-            - Document the outcomes of these sessions for future reference.
-
-         3. **Budget Reconciliation**:
-            - Compare the actual expenses with the estimated budget.
-            - Identify any budget overruns or savings.
-            - Provide a detailed report on the financial performance of the event.
-
-         4. **Photo Compilation**:
-            - Gather all photos taken during the event.
-            - Create a digital album or slideshow to share with participants and stakeholders.
-            - Ensure the photos are organized and easily accessible.
-
-         5. **Impact Assessment**:
-            - Evaluate the impact of the event on team cohesion, cross-departmental collaboration, and morale.
-            - Use feedback from the participant survey and debriefing sessions to assess the event's success.
-            - Provide a summary of the event's overall impact and any measurable outcomes.
-
-         6. **Thank You Communications**:
-            - Prepare thank-you messages for all participants, vendors, and stakeholders.
-            - Include a brief summary of the event's success and express gratitude for their contributions.
-            - Send these communications within a week after the event.
-
-         To accomplish this task, follow these steps:
-
-         1. **Review Event Details**:
-            - Refer to the gathered information about the company, event requirements, and constraints:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Design the Participant Survey**:
-            - Create a survey that covers all key aspects of the event.
-            - Ensure the survey is user-friendly and can be completed quickly.
-
-         3. **Plan Debriefing Sessions**:
-            - Schedule sessions with the event planning team and key stakeholders.
-            - Prepare an agenda for each session to ensure productive discussions.
-
-         4. **Conduct Budget Reconciliation**:
-            - Compare actual expenses with the estimated budget.
-            - Identify any discrepancies and document the findings.
-
-         5. **Compile Photos**:
-            - Gather all photos from the event.
-            - Organize them into a digital album or slideshow.
-
-         6. **Assess Impact**:
-            - Use feedback from the survey and debriefing sessions to evaluate the event's impact.
-            - Provide a summary of the event's success and any measurable outcomes.
-
-         7. **Prepare Thank You Communications**:
-            - Draft thank-you messages for participants, vendors, and stakeholders.
-            - Include a brief summary of the event's success and express gratitude.
-
-         8. **Compile the Post-Event Evaluation Plan**:
-            - Combine all the components into a comprehensive post-event evaluation plan.
-            - Ensure the plan is clear, detailed, and ready for implementation.
-
-         Your final answer should be the complete post-event evaluation plan, including all the components mentioned above.
-         """.strip()
-        ),
-        requirements=[
-            "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert post_event_evaluation.value is not None, (
-        'ERROR: task "post_event_evaluation" execution failed'
-    )
-
-    # 21. Create an accessibility plan with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation. - - ACCESSIBILITY_PLAN
-    accessibility_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create an accessibility plan for the corporate team-building event. This plan should ensure that the event is inclusive and accommodates the diverse needs of all attendees. Follow these steps to accomplish your task:
-
-         1. **Understand the Requirements**:
-            Review the gathered information about the company and event requirements to understand the specific needs and constraints related to accessibility:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **ADA Compliance**:
-            Ensure that the event venue and all activities comply with the Americans with Disabilities Act (ADA) standards. This includes:
-            - Accessible entry points and pathways
-            - Adequate space for mobility devices
-            - Accessible restrooms
-            - Clear signage and directions
-
-         3. **Interpreters and Assistive Technology**:
-            Plan for the provision of interpreters for attendees who are deaf or hard of hearing. Additionally, consider any assistive technology that may be required, such as:
-            - Hearing assistance devices
-            - Visual aids
-            - Braille materials
-
-         4. **Activity Modifications**:
-            Modify activities to ensure they are accessible to all attendees. This may include:
-            - Providing alternative activities for those who cannot participate in certain events
-            - Adjusting the difficulty level of activities
-            - Ensuring that all activities can be performed by individuals with varying abilities
-
-         5. **Dietary Accommodation**:
-            Accommodate dietary restrictions and preferences by:
-            - Offering a variety of food options that cater to different dietary needs (e.g., vegetarian, vegan, gluten-free, allergies)
-            - Clearly labeling all food items with allergen information
-            - Providing a pre-event survey to gather dietary information from attendees
-
-         6. **Inclusive Team Formation**:
-            Ensure that teams are formed inclusively by:
-            - Mixing departments and seniority levels
-            - Considering the abilities and preferences of each attendee
-            - Providing clear team assignments and communication channels
-
-         7. **Safety and Emergency Procedures**:
-            Develop safety and emergency procedures that are accessible to all attendees. This includes:
-            - Clear evacuation routes and procedures
-            - Accessible first aid stations
-            - Emergency contact information
-
-         8. **Communication Plan**:
-            Create a communication plan that ensures all attendees are informed about accessibility options and how to access them. This may include:
-            - Including accessibility information in event materials
-            - Providing a dedicated point of contact for accessibility-related questions
-            - Using multiple communication channels (e.g., email, event app, Slack)
-
-         9. **Review and Finalize**:
-            Review the accessibility plan to ensure it meets all requirements and addresses the diverse needs of the attendees. Make any necessary adjustments and finalize the plan.
-
-         Your final answer should be a comprehensive accessibility plan that includes all the elements outlined above.
-         """.strip()
-        ),
-        requirements=[
-            "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert accessibility_plan.value is not None, (
-        'ERROR: task "accessibility_plan" execution failed'
-    )
-
-    # 22. Create a contingency plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns. - - CONTINGENCY_PLANNING
-    contingency_planning = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a comprehensive contingency plan for the corporate team-building event. This plan should address potential risks and ensure the event can proceed smoothly despite unforeseen circumstances. Follow these steps to accomplish your task:
-
-         1. **Identify Potential Risks**:
-            - **Weather Emergencies**: Consider the possibility of extreme weather conditions that could disrupt the event. Think about both indoor and outdoor activities.
-            - **Vendor Cancellations**: Identify key vendors and the impact of their cancellation on the event.
-            - **Technology Failures**: Consider the technology requirements for the event and potential failures that could occur.
-            - **Medical Emergencies**: Plan for any medical emergencies that might arise during the event.
-            - **Budget Overruns**: Identify areas where budget overruns might occur and plan for alternative solutions.
-
-         2. **Develop Contingency Strategies**:
-            - **Weather Emergencies**:
-               - **Indoor Activities**: Have a backup plan for moving outdoor activities indoors.
-               - **Outdoor Activities**: Consider alternative dates or locations if necessary.
-               - **Communication**: Develop a communication plan to inform attendees of any changes due to weather.
-            - **Vendor Cancellations**:
-               - **Backup Vendors**: Identify and contract backup vendors for critical services.
-               - **Alternative Solutions**: Develop alternative solutions for essential services.
-            - **Technology Failures**:
-               - **Backup Equipment**: Ensure backup AV equipment and tech support are available.
-               - **Manual Processes**: Have manual processes in place in case of technology failures.
-            - **Medical Emergencies**:
-               - **First Aid Stations**: Ensure adequate first aid stations and trained personnel are available.
-               - **Emergency Protocols**: Develop clear protocols for handling medical emergencies.
-            - **Budget Overruns**:
-               - **Cost-Saving Measures**: Identify areas where costs can be reduced without compromising the event.
-               - **Contingency Fund**: Allocate a contingency fund to cover unexpected expenses.
-
-         3. **Implement and Monitor**:
-            - **Implementation**: Ensure all contingency plans are implemented as part of the overall event strategy.
-            - **Monitoring**: Continuously monitor the event for any signs of the identified risks and be prepared to activate the contingency plans as needed.
-
-         4. **Documentation**:
-            - **Contingency Plan Document**: Create a detailed contingency plan document that includes all the strategies developed. This document should be part of the comprehensive event strategy document.
-
-         5. **Review and Update**:
-            - **Regular Reviews**: Regularly review and update the contingency plan as the event approaches to ensure it remains relevant and effective.
-
-         Use the information gathered in the previous steps to inform your contingency planning. Ensure that all aspects of the event are covered and that the contingency plans are practical and feasible.
-
-         Finally, compile the contingency plan into a clear and concise document that can be easily referenced during the event planning and execution phases.
-         """.strip()
-        ),
-        requirements=[
-            "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={},
-    )
-    assert contingency_planning.value is not None, (
-        'ERROR: task "contingency_planning" execution failed'
-    )
-
-    # 23. Develop a sustainability plan with eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management. - - SUSTAINABILITY_PLAN
-    sustainability_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive sustainability plan for the corporate team-building event. This plan should focus on minimizing the environmental impact of the event while ensuring a memorable and enjoyable experience for all participants.
-
-         To accomplish this, follow these steps:
-
-         1. **Understand the Event Requirements**:
-            Review the gathered information about the company, event requirements, and constraints:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Identify Key Sustainability Areas**:
-            Focus on the following key areas to create a sustainable event:
-            - **Eco-friendly Venue**: Select a venue that has eco-friendly practices, such as energy-efficient lighting, waste reduction programs, and sustainable building materials.
-            - **Local Catering**: Partner with local caterers who source ingredients locally and use sustainable practices. Ensure they offer diverse menu options that accommodate dietary restrictions.
-            - **Reusable Serving Ware**: Use reusable or compostable serving ware to minimize waste. Avoid single-use plastics and encourage the use of reusable cups, plates, and cutlery.
-            - **Digital Communications**: Utilize digital communications for invitations, reminders, and event information to reduce paper waste. Create a mobile event app for scheduling and messaging.
-            - **Recyclable Decorations**: Choose decorations that are recyclable or made from sustainable materials. Avoid non-biodegradable materials and opt for eco-friendly alternatives.
-            - **Waste Management**: Implement a comprehensive waste management plan that includes recycling stations, composting, and proper disposal of waste. Educate participants on the importance of waste reduction and proper disposal methods.
-
-         3. **Develop Detailed Strategies**:
-            For each key area, develop detailed strategies that outline the steps to be taken, the resources required, and the expected outcomes. Ensure that the strategies align with the overall event goals and constraints.
-
-         4. **Create a Sustainability Timeline**:
-            Integrate the sustainability plan into the overall event timeline. Ensure that sustainability initiatives are scheduled appropriately and that all necessary actions are taken in a timely manner.
-
-         5. **Budget Considerations**:
-            Review the budget breakdown to ensure that the sustainability plan is cost-effective and aligns with the total estimated budget:
-            <budget_breakdown>
-            {{BUDGET_BREAKDOWN}}
-            </budget_breakdown>
-
-         6. **Communication Plan**:
-            Develop a communication plan to inform participants about the sustainability initiatives. Use the marketing and communication strategy to promote the event's eco-friendly practices:
-            <marketing_strategy>
-            {{MARKETING_STRATEGY}}
-            </marketing_strategy>
-
-         7. **Vendor Management**:
-            Ensure that all vendors adhere to the sustainability plan. Include sustainability criteria in the vendor selection process and monitor their compliance throughout the event:
-            <vendor_management>
-            {{VENDOR_MANAGEMENT}}
-            </vendor_management>
-
-         8. **Post-Event Evaluation**:
-            Include sustainability metrics in the post-event evaluation plan. Assess the effectiveness of the sustainability initiatives and identify areas for improvement in future events:
-            <post_event_evaluation>
-            {{POST_EVENT_EVALUATION}}
-            </post_event_evaluation>
-
-         9. **Contingency Planning**:
-            Develop contingency plans for potential sustainability challenges, such as waste management issues or vendor non-compliance. Ensure that the contingency planning aligns with the overall event strategy:
-            <contingency_planning>
-            {{CONTINGENCY_PLANNING}}
-            </contingency_planning>
-
-         10. **Finalize the Sustainability Plan**:
-               Compile all the information into a detailed sustainability plan that outlines the strategies, timelines, budget considerations, communication plans, vendor management, post-event evaluation, and contingency planning.
-
-         Ensure that the sustainability plan is integrated into the comprehensive event strategy document and that all planning follows best practices, creates memorable experiences, accommodates diverse needs, stays within budget, prioritizes safety, incorporates sustainable practices, leverages technology, builds excitement, and measures success.
-         """.strip()
-        ),
-        requirements=[
-            "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "MARKETING_STRATEGY": marketing_strategy.value,
-            "VENDOR_MANAGEMENT": vendor_management.value,
-            "POST_EVENT_EVALUATION": post_event_evaluation.value,
-            "CONTINGENCY_PLANNING": contingency_planning.value,
-        },
-    )
-    assert sustainability_plan.value is not None, (
-        'ERROR: task "sustainability_plan" execution failed'
-    )
-
-    # 24. Compile all the information into a comprehensive event strategy document. - - EVENT_STRATEGY_DOCUMENT
-    event_strategy_document = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to compile all the information gathered and planned in the previous steps into a comprehensive event strategy document. This document will serve as the blueprint for executing the corporate team-building event.
-
-         To accomplish this, follow these steps:
-
-         1. **Review All Previous Steps**:
-            Carefully review the information and plans developed in the previous steps. This includes:
-            - Information Gathering: {{INFORMATION_GATHERING}}
-            - Planning Timeline: {{PLANNING_TIMELINE}}
-            - Budget Breakdown: {{BUDGET_BREAKDOWN}}
-            - Marketing Strategy: {{MARKETING_STRATEGY}}
-            - Venue Selection: {{VENUE_SELECTION}}
-            - Event Schedule: {{EVENT_SCHEDULE}}
-            - Icebreaker Plans: {{ICEBREAKER_PLANS}}
-            - Team Formation: {{TEAM_FORMATION}}
-            - Workshop Content: {{WORKSHOP_CONTENT}}
-            - Catering Plan: {{CATERING_PLAN}}
-            - Activity Logistics: {{ACTIVITY_LOGISTICS}}
-            - Transportation Plan: {{TRANSPORTATION_PLAN}}
-            - Registration Process: {{REGISTRATION_PROCESS}}
-            - Safety Plan: {{SAFETY_PLAN}}
-            - Vendor Management: {{VENDOR_MANAGEMENT}}
-            - Technology Plan: {{TECHNOLOGY_PLAN}}
-            - Decoration Strategy: {{DECORATION_STRATEGY}}
-            - Entertainment Plan: {{ENTERTAINMENT_PLAN}}
-            - Prize Strategy: {{PRIZE_STRATEGY}}
-            - Post-Event Evaluation: {{POST_EVENT_EVALUATION}}
-            - Accessibility Plan: {{ACCESSIBILITY_PLAN}}
-            - Sustainability Plan: {{SUSTAINABILITY_PLAN}}
-            - Contingency Planning: {{CONTINGENCY_PLANNING}}
-
-         2. **Organize the Information**:
-            Structure the event strategy document in a logical and coherent manner. Use clear headings and subheadings to organize the content. Here is a suggested structure:
-            - **Executive Summary**: A brief overview of the event's objectives, key highlights, and expected outcomes.
-            - **Event Overview**: Detailed description of the event, including its purpose, goals, and target audience.
-            - **Planning Timeline**: The detailed planning timeline starting 6 months before the event with weekly milestones.
-            - **Budget Breakdown**: Comprehensive breakdown of the budget for venue rental, catering, entertainment, transportation, technology, and total estimated budget.
-            - **Marketing and Communication Strategy**: Detailed strategy for save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods.
-            - **Venue Selection**: Process for evaluating and selecting the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness.
-            - **Event Schedule**: Detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment.
-            - **Icebreaker Activities**: List of 15 icebreaker activities with detailed plans.
-            - **Team Formation Strategy**: Strategy for forming diverse teams with a mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event.
-            - **Workshop Content**: Content for leadership, innovation, communication, and wellness workshops.
-            - **Catering Plan**: Detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options.
-            - **Activity Logistics**: Logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.
-            - **Transportation Plan**: Plan for charter buses, parking management, shuttle service, and contingency plans.
-            - **Registration Process**: Process for online portal, on-site check-in, name tags, welcome packets, and staff training.
-            - **Safety Plan**: Comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting.
-            - **Vendor Management**: Strategy for vendor selection, contracts, payment schedules, and evaluation forms.
-            - **Technology Plan**: Plan for event app, AV equipment, WiFi, photography services, live streaming, and tech support.
-            - **Decoration Strategy**: Strategy for signage, team colors, photo backdrops, and sustainable options.
-            - **Entertainment Plan**: Plan for live band or DJ, emcee, interactive activities, and evening games.
-            - **Prize Strategy**: Strategy for team prizes, individual awards, participation gifts, and raffle prizes.
-            - **Post-Event Evaluation**: Plan for participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications.
-            - **Accessibility Plan**: Plan for ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation.
-            - **Sustainability Plan**: Plan for eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management.
-            - **Contingency Planning**: Plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns.
-
-         3. **Compile the Document**:
-            Combine all the organized information into a single, cohesive document. Ensure that the document is well-structured, easy to read, and includes all necessary details for executing the event.
-
-         4. **Review and Finalize**:
-            Review the compiled document to ensure accuracy, completeness, and clarity. Make any necessary adjustments to ensure that the document meets all requirements and standards.
-
-         5. **Output the Event Strategy Document**:
-            Provide the final event strategy document as your answer. Ensure that the document is well-formatted and ready for use.
-         """.strip()
-        ),
-        requirements=[
-            "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones",
-            "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-            "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app",
-            "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-            "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-            "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-            "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-            "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation",
-            "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-            "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-            "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans",
-            "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training",
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-            "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms",
-            "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-            "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options",
-            "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-            "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes",
-            "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications",
-            "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-            "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-            "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "PLANNING_TIMELINE": planning_timeline.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "MARKETING_STRATEGY": marketing_strategy.value,
-            "VENUE_SELECTION": venue_selection.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-            "ICEBREAKER_PLANS": icebreaker_plans.value,
-            "TEAM_FORMATION": team_formation.value,
-            "WORKSHOP_CONTENT": workshop_content.value,
-            "CATERING_PLAN": catering_plan.value,
-            "ACTIVITY_LOGISTICS": activity_logistics.value,
-            "TRANSPORTATION_PLAN": transportation_plan.value,
-            "REGISTRATION_PROCESS": registration_process.value,
-            "SAFETY_PLAN": safety_plan.value,
-            "VENDOR_MANAGEMENT": vendor_management.value,
-            "TECHNOLOGY_PLAN": technology_plan.value,
-            "DECORATION_STRATEGY": decoration_strategy.value,
-            "ENTERTAINMENT_PLAN": entertainment_plan.value,
-            "PRIZE_STRATEGY": prize_strategy.value,
-            "POST_EVENT_EVALUATION": post_event_evaluation.value,
-            "ACCESSIBILITY_PLAN": accessibility_plan.value,
-            "SUSTAINABILITY_PLAN": sustainability_plan.value,
-            "CONTINGENCY_PLANNING": contingency_planning.value,
-        },
-    )
-    assert event_strategy_document.value is not None, (
-        'ERROR: task "event_strategy_document" execution failed'
-    )
-
-    final_answer = event_strategy_document.value
-
-    print(final_answer)
diff --git a/docs/examples/m_decompose/python/python_decompose_example.py b/docs/examples/m_decompose/python/python_decompose_example.py
index 21faf6444..d8d31ad23 100644
--- a/docs/examples/m_decompose/python/python_decompose_example.py
+++ b/docs/examples/m_decompose/python/python_decompose_example.py
@@ -178,7 +178,7 @@ def display_results(result: DecompPipelineResult):
     print(f"\n🔍 Constraints Identified ({len(result['identified_constraints'])}):")
     for i, constraint in enumerate(result["identified_constraints"], 1):
         print(f"  {i}. {constraint['constraint']}")
-        print(f"     Validation: {constraint['validation_strategy']}")
+        print(f"     Validation: {constraint['val_strategy']}")
 
     print(f"\n🎯 Detailed Subtasks ({len(result['subtasks'])}):")
     for i, subtask_detail in enumerate(result["subtasks"], 1):
diff --git a/docs/examples/m_decompose/small/m_decomp_result.json b/docs/examples/m_decompose/small/m_decomp_result.json
index 50cb497c9..378af18fe 100644
--- a/docs/examples/m_decompose/small/m_decomp_result.json
+++ b/docs/examples/m_decompose/small/m_decomp_result.json
@@ -11,35 +11,35 @@
   "identified_constraints": [
     {
       "constraint": "The shopping list must include decorations, food, drinks, party favors, and a cake that serves at least 20 people",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Suggest 5-7 age-appropriate party games or activities that fit the unicorn theme and can keep the kids entertained for about 3 hours",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Write out a timeline for the party day starting from 2 hours before guests arrive until cleanup is done showing exactly when to do food prep, decoration setup, when each activity should happen, and when to serve food and cake",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Draft a cute invitation text that includes all the important details like date, time, location, RSVP information, and any special instructions about allergies or what kids should bring or wear",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Create a backup plan in case it rains",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Everything must stay within a total budget of about ~$400",
-      "validation_strategy": "code"
+      "val_strategy": "code"
     },
     {
       "constraint": "Follow basic food safety guidelines especially for kids with common allergies like nuts and dairy",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     }
   ],
   "subtasks": [
@@ -49,19 +49,19 @@
       "constraints": [
         {
           "constraint": "The shopping list must include decorations, food, drinks, party favors, and a cake that serves at least 20 people",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "Everything must stay within a total budget of about ~$400",
-          "validation_strategy": "code"
+          "val_strategy": "code"
         },
         {
           "constraint": "Follow basic food safety guidelines especially for kids with common allergies like nuts and dairy",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to create a detailed shopping list with estimated costs for decorations, food, drinks, party favors, and a cake that serves at least 20 people, ensuring the total budget stays within $400. Follow these steps to accomplish your task:\n\n1. **Understand the Requirements**:\n   - The party is for an 8-year-old daughter who loves unicorns.\n   - The party theme colors are pink, purple, and gold.\n   - The party will have 15 kids from her class, but the cake should serve at least 20 people.\n   - The total budget should not exceed $400.\n   - Follow basic food safety guidelines, especially for kids with common allergies like nuts and dairy.\n\n2. **Categories to Include**:\n   - **Decorations**: Unicorn-themed decorations in pink, purple, and gold.\n   - **Food**: Finger foods and snacks suitable for kids.\n   - **Drinks**: Beverages that are kid-friendly.\n   - **Party Favors**: Small gifts or treats for each child.\n   - **Cake**: A unicorn-themed cake that serves at least 20 people.\n\n3. **Estimate Costs**:\n   - Research and list the estimated costs for each item.\n   - Ensure the total cost of all items does not exceed $400.\n\n4. **Create the Shopping List**:\n   - Organize the list by categories (decorations, food, drinks, party favors, cake).\n   - Include the name of each item, the estimated cost, and the quantity needed.\n   - Ensure all items fit within the unicorn theme and the specified colors.\n\n5. **Review the List**:\n   - Double-check that all necessary items are included.\n   - Verify that the total estimated cost is within the $400 budget.\n\n6. **Output the Shopping List**:\n   - Present the shopping list in a clear and organized format.\n   - Include the estimated cost for each item and the total estimated cost.\n\nHere is an example structure to guide your writing:\n- **Decorations**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n  - Item 2: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n- **Food**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n  - Item 2: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n- **Drinks**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n  - Item 2: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n- **Party Favors**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n  - Item 2: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n- **Cake**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n\nEnsure that the shopping list is comprehensive and meets all the specified requirements.",
@@ -74,11 +74,11 @@
       "constraints": [
         {
           "constraint": "Suggest 5-7 age-appropriate party games or activities that fit the unicorn theme and can keep the kids entertained for about 3 hours",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to suggest 5-7 age-appropriate party games or activities that fit the unicorn theme and can keep the kids entertained for about 3 hours. Follow these steps to accomplish your task:\n\n1. **Understand the Theme and Audience**:\n   - The party theme is unicorns, and the target audience is 8-year-old kids.\n   - The party should be fun, engaging, and age-appropriate.\n   - The theme colors are pink, purple, and gold.\n\n2. **Consider the Duration**:\n   - The activities should keep the kids entertained for about 3 hours.\n   - Plan a mix of active and passive games to maintain engagement.\n\n3. **Brainstorm Activity Ideas**:\n   - Think of games and activities that fit the unicorn theme.\n   - Ensure the activities are safe, fun, and suitable for 8-year-olds.\n   - Consider both indoor and outdoor activities in case of rain.\n\n4. **List the Activities**:\n   - Provide a list of 5-7 activities with brief descriptions.\n   - Include any necessary materials or preparations for each activity.\n   - Ensure the activities are varied to keep the kids interested.\n\n5. **Review the Shopping List**:\n   - Refer to the shopping list created in the previous step to ensure you have all the necessary materials for the activities:\n   <shopping_list>\n   {{SHOPPING_LIST}}\n   </shopping_list>\n\n6. **Finalize the Activities**:\n   - Ensure the activities are feasible within the budget and theme.\n   - Make sure the activities are safe and consider any common allergies or dietary restrictions.\n\nHere is an example structure to guide your suggestions:\n- **Activity 1**: [Description]\n- **Activity 2**: [Description]\n- **Activity 3**: [Description]\n- **Activity 4**: [Description]\n- **Activity 5**: [Description]\n- **Activity 6**: [Description]\n- **Activity 7**: [Description]\n\nEnsure each activity is clearly described and fits the unicorn theme. You should write only the activities, do not include the guidance structure.",
@@ -93,11 +93,11 @@
       "constraints": [
         {
           "constraint": "Write out a timeline for the party day starting from 2 hours before guests arrive until cleanup is done showing exactly when to do food prep, decoration setup, when each activity should happen, and when to serve food and cake",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "Follow basic food safety guidelines especially for kids with common allergies like nuts and dairy",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to draft a detailed timeline for the birthday party day, starting from 2 hours before guests arrive until cleanup is done. The timeline should include food prep, decoration setup, and scheduling of activities, ensuring the party runs smoothly and stays within the allocated time.\n\nTo accomplish this, follow these steps:\n\n1. **Review the Shopping List and Party Games**:\n   First, review the shopping list and party games that have been prepared in the previous steps. This will help you understand the tasks that need to be scheduled and the activities that will take place during the party.\n   <shopping_list>\n   {{SHOPPING_LIST}}\n   </shopping_list>\n   <party_games>\n   {{PARTY_GAMES}}\n   </party_games>\n\n2. **Plan the Timeline**:\n   Create a timeline that starts 2 hours before the guests arrive and ends with the cleanup after the party. Include the following key elements:\n   - **Decoration Setup**: Schedule the setup of decorations, ensuring they are in place before guests arrive.\n   - **Food Prep**: Plan the preparation of food and drinks, including any last-minute tasks that need to be done just before serving.\n   - **Activity Schedule**: Allocate time slots for each of the 5-7 party games or activities, ensuring they are spaced out appropriately to keep the kids entertained for about 3 hours.\n   - **Food and Cake Serving**: Schedule the serving of food and cake, making sure it fits well within the activity timeline.\n   - **Cleanup**: Include a time slot for cleanup after the party, ensuring all tasks are completed efficiently.\n\n3. **Ensure Logical Flow**:\n   Make sure the timeline flows logically, with each task leading smoothly into the next. Consider the time required for each activity and the transitions between them.\n\n4. **Include Buffer Time**:\n   Add buffer time between activities to account for any unexpected delays or transitions.\n\n5. **Finalize the Timeline**:\n   Compile all the scheduled tasks into a clear and concise timeline. Ensure it is easy to follow and includes all necessary details.\n\nHere is an example structure to guide your writing:\n- **2 Hours Before Guests Arrive**: Start decoration setup and initial food prep.\n- **1.5 Hours Before Guests Arrive**: Complete decoration setup and continue food prep.\n- **1 Hour Before Guests Arrive**: Final touches on decorations and food prep.\n- **Guests Arrive**: Welcome guests and begin the first activity.\n- **Activity 1**: [Describe the activity and its duration]\n- **Activity 2**: [Describe the activity and its duration]\n- **Serve Food**: [Schedule the serving of food]\n- **Activity 3**: [Describe the activity and its duration]\n- **Serve Cake**: [Schedule the serving of cake]\n- **Activity 4**: [Describe the activity and its duration]\n- **Activity 5**: [Describe the activity and its duration]\n- **Cleanup**: [Schedule the cleanup tasks]\n\nEnsure that each time slot is clearly defined and that the timeline is easy to follow. You should write only the timeline, do not include the guidance structure.",
@@ -113,11 +113,11 @@
       "constraints": [
         {
           "constraint": "Draft a cute invitation text that includes all the important details like date, time, location, RSVP information, and any special instructions about allergies or what kids should bring or wear",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to create a cute invitation text for an 8-year-old's unicorn-themed birthday party. The invitation should include all the important details and follow the party's theme colors: pink, purple, and gold.\n\nTo accomplish this, follow these steps:\n\n1. **Gather Party Details**:\n   - Review the shopping list, party games, and timeline created in the previous steps to gather all necessary information:\n   <shopping_list>\n   {{SHOPPING_LIST}}\n   </shopping_list>\n   <party_games>\n   {{PARTY_GAMES}}\n   </party_games>\n   <party_timeline>\n   {{PARTY_TIMELINE}}\n   </party_timeline>\n\n2. **Include Essential Information**:\n   - **Date and Time**: Clearly state the date and time of the party.\n   - **Location**: Provide the address and any specific instructions for getting to the party location.\n   - **RSVP Information**: Include a contact email or phone number for RSVP and any deadline for responding.\n   - **Special Instructions**: Mention any allergies, what kids should bring or wear, and any other important notes.\n\n3. **Theme and Tone**:\n   - Use a cute and playful tone that fits the unicorn theme.\n   - Incorporate the theme colors (pink, purple, and gold) into the design and wording of the invitation.\n\n4. **Format the Invitation**:\n   - Use a clear and organized format, such as bullet points or paragraphs, to present the information.\n   - Make sure the invitation is easy to read and visually appealing.\n\n5. **Example Structure**:\n   - **Header**: A fun and colorful header that says \"Unicorn Birthday Party!\"\n   - **Body**:\n     - \"You're invited to [Child's Name]'s Unicorn Birthday Party!\"\n     - \"Date: [Date]\"\n     - \"Time: [Time]\"\n     - \"Location: [Location]\"\n     - \"RSVP by [Date] to [Email/Phone Number]\"\n     - \"Special Instructions: [Allergies, what to bring or wear, etc.]\"\n   - **Footer**: A cute closing line like \"Hope to see you there for a magical time!\"\n\n6. **Review and Finalize**:\n   - Ensure all important details are included and the invitation is error-free.\n   - Make any necessary adjustments to ensure the invitation is clear, cute, and fits the unicorn theme.\n\nFinally, write the cute invitation text based on the above guidelines and provide it as your answer.",
@@ -134,7 +134,7 @@
       "constraints": [
         {
           "constraint": "Create a backup plan in case it rains",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to develop a backup plan in case it rains, ensuring all activities can be moved indoors. Follow these steps to accomplish your task:\n\nFirst, review the shopping list, party games, timeline, and invitation text from the previous steps to understand the party setup and activities:\n<shopping_list>\n{{SHOPPING_LIST}}\n</shopping_list>\n<party_games>\n{{PARTY_GAMES}}\n</party_games>\n<party_timeline>\n{{PARTY_TIMELINE}}\n</party_timeline>\n<invitation_text>\n{{INVITATION_TEXT}}\n</invitation_text>\n\nNext, consider the following factors for the backup plan:\n1. **Indoor Space**: Ensure that the indoor space is large enough to accommodate all the activities and guests comfortably.\n2. **Activity Adjustments**: Modify the party games and activities to fit the indoor space. Consider the following:\n   - **Space Constraints**: Ensure that games like \"Pin the Horn on the Unicorn\" or \"Unicorn Ring Toss\" can be played indoors without any hazards.\n   - **Noise Levels**: Adjust activities to minimize noise, especially if the party is in a residential area.\n   - **Safety**: Ensure that all indoor activities are safe and age-appropriate.\n3. **Food and Drinks**: Plan how to serve food and drinks indoors. Consider using tables or a buffet-style setup to minimize clutter.\n4. **Decorations**: Adjust the decoration setup to fit the indoor space. Ensure that the decorations are still visually appealing and fit the unicorn theme.\n5. **Timeline Adjustments**: Modify the party timeline to account for indoor activities. Ensure that the timeline is still efficient and keeps the kids entertained.\n\nFinally, write a detailed backup plan that includes:\n- **Indoor Activity Schedule**: A list of adjusted activities with their respective times.\n- **Indoor Setup Instructions**: Detailed instructions on how to set up the indoor space, including decorations, food, and drink stations.\n- **Safety Guidelines**: Any additional safety guidelines or considerations for indoor activities.\n\nEnsure that the backup plan is clear, concise, and easy to follow. The plan should allow for a smooth transition from outdoor to indoor activities in case of rain.",
@@ -152,15 +152,15 @@
       "constraints": [
         {
           "constraint": "Everything must stay within a total budget of about ~$400",
-          "validation_strategy": "code"
+          "val_strategy": "code"
         },
         {
           "constraint": "Follow basic food safety guidelines especially for kids with common allergies like nuts and dairy",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to compile the shopping list, party games, timeline, invitation text, and backup plan into a single cohesive output for the birthday party. Follow these steps to accomplish your task:\n\n1. **Review the Shopping List**:\n   Carefully review the detailed shopping list with estimated costs for decorations, food, drinks, party favors, and a cake that serves at least 20 people. Ensure the total budget stays within $400.\n   <shopping_list>\n   {{SHOPPING_LIST}}\n   </shopping_list>\n\n2. **Review the Party Games**:\n   Review the suggested 5-7 age-appropriate party games or activities that fit the unicorn theme and can keep the kids entertained for about 3 hours.\n   <party_games>\n   {{PARTY_GAMES}}\n   </party_games>\n\n3. **Review the Party Timeline**:\n   Review the timeline for the party day starting from 2 hours before guests arrive until cleanup is done, including food prep, decoration setup, and scheduling of activities.\n   <party_timeline>\n   {{PARTY_TIMELINE}}\n   </party_timeline>\n\n4. **Review the Invitation Text**:\n   Review the cute invitation text that includes all the important details like date, time, location, RSVP information, and any special instructions about allergies or what kids should bring or wear.\n   <invitation_text>\n   {{INVITATION_TEXT}}\n   </invitation_text>\n\n5. **Review the Backup Plan**:\n   Review the backup plan in case it rains, ensuring all activities can be moved indoors.\n   <backup_plan>\n   {{BACKUP_PLAN}}\n   </backup_plan>\n\n6. **Compile the Information**:\n   Combine all the reviewed information into a single cohesive output. Ensure that the output is well-organized and easy to follow. Include the following sections in your final output:\n   - **Shopping List**: Detailed list with estimated costs.\n   - **Party Games**: Suggested activities with descriptions.\n   - **Party Timeline**: Step-by-step schedule for the party day.\n   - **Invitation Text**: Cute and informative text for parents.\n   - **Backup Plan**: Plan for indoor activities in case of rain.\n\n7. **Final Output**:\n   Present the compiled information in a clear and concise manner. Ensure that all details are included and that the output is easy to read and understand.\n\nYour final output should be a comprehensive guide that includes all the necessary information for planning and executing the birthday party.",
diff --git a/docs/examples/plugins/__init__.py b/docs/examples/plugins/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/examples/plugins/class_plugin.py b/docs/examples/plugins/class_plugin.py
deleted file mode 100644
index 6b359b810..000000000
--- a/docs/examples/plugins/class_plugin.py
+++ /dev/null
@@ -1,128 +0,0 @@
-# pytest: ollama, llm
-#
-# Class-based plugin — group related hooks in a single Plugin subclass.
-#
-# This example creates a PII protection plugin that:
-#   1. Blocks input containing SSN patterns before component execution
-#   2. Scans LLM output for SSN patterns after generation (observe-only)
-#
-# Run:
-#   uv run python docs/examples/plugins/class_plugin.py
-
-import logging
-import re
-import sys
-
-from mellea import start_session
-from mellea.plugins import HookType, Plugin, PluginViolationError, block, hook, register
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("class_plugin")
-
-
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    """Redacts PII patterns from both input and output.
-
-    .. warning:: Shared mutable state
-        ``redaction_count`` is shared across all hook invocations.  This is
-        safe today because all hooks run on the same ``asyncio`` event loop,
-        but would require a lock or ``contextvars`` if hooks ever execute in
-        parallel threads.
-    """
-
-    def __init__(self, patterns: list[str] | None = None):
-        self.patterns = patterns or [
-            r"\d{3}-\d{2}-\d{4}",  # SSN
-            r"\b\d{16}\b",  # credit card (simplified)
-        ]
-        self.redaction_count = 0
-
-    @hook(HookType.COMPONENT_PRE_EXECUTE)
-    async def reject_pii_input(self, payload, ctx):
-        """Block component execution if the action contains PII patterns."""
-        if payload.component_type != "Instruction":
-            return
-        original = (
-            str(payload.action._description) if payload.action._description else ""
-        )
-        if self._contains_pii(original):
-            log.warning("[pii-redactor] PII detected in component action — blocking")
-            self.redaction_count += 1
-            return block(
-                "Input contains PII patterns that must be removed before processing",
-                code="PII_INPUT_DETECTED",
-            )
-        log.info("[pii-redactor] no PII found in input")
-
-    @hook(HookType.GENERATION_POST_CALL)
-    async def scan_output(self, payload, ctx):
-        """Scan LLM output for PII and log a warning if detected.
-
-        ``generation_post_call`` is observe-only — plugins cannot modify the
-        ``model_output``.  This hook therefore only inspects the output and
-        records a warning for downstream monitoring/alerting.
-        """
-        mot_value = getattr(payload.model_output, "value", None)
-        if mot_value is None:
-            log.info("[pii-redactor] output not yet computed — skipping output scan")
-            return
-        original = str(mot_value)
-        if self._contains_pii(original):
-            log.warning("[pii-redactor] PII detected in LLM output (observe-only)")
-            self.redaction_count += 1
-        else:
-            log.info("[pii-redactor] no PII found in output")
-
-    def _contains_pii(self, text: str) -> bool:
-        return any(re.search(p, text) for p in self.patterns)
-
-
-# Create an instance and register it globally
-redactor = PIIRedactor()
-register(redactor)
-
-if __name__ == "__main__":
-    log.info("--- Class-based Plugin example (PII Redactor) ---")
-    log.info("")
-
-    with start_session() as m:
-        log.info("Session started (id=%s)", m.id)
-        log.info("")
-
-        # Request 1: contains an SSN — the input hook blocks execution.
-        log.info("Request 1: input with PII (should be blocked)")
-        try:
-            m.instruct(
-                "Summarize this customer record: "
-                "Name: Jane Doe, SSN: 123-45-6789, Status: Active"
-            )
-        except PluginViolationError as e:
-            log.info(
-                "Blocked as expected on %s: [%s] %s", e.hook_type, e.code, e.reason
-            )
-        log.info("")
-
-        # Request 2: clean input — no PII, so it reaches the LLM.
-        # If the LLM output contains PII, scan_output logs a warning (observe-only).
-        log.info("Request 2: clean input (should succeed)")
-        try:
-            result = m.instruct("Name the three primary colors.")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.warning(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
-
-        log.info("")
-        log.info("Total PII detections: %d", redactor.redaction_count)
diff --git a/docs/examples/plugins/execution_modes.py b/docs/examples/plugins/execution_modes.py
deleted file mode 100644
index 1e1040837..000000000
--- a/docs/examples/plugins/execution_modes.py
+++ /dev/null
@@ -1,130 +0,0 @@
-# pytest: ollama, llm
-#
-# Execution modes — all five PluginMode values side by side.
-#
-# This example registers five hooks on the same hook type
-# (COMPONENT_PRE_EXECUTE), each using a different execution mode.
-# It demonstrates:
-#
-#   1. SEQUENTIAL      — serial, can block + modify
-#   2. TRANSFORM       — serial, can modify only (blocks suppressed)
-#   3. AUDIT           — serial, observe-only (modifications discarded, blocks logged)
-#   4. CONCURRENT      — parallel, can block only (modifications discarded)
-#   5. FIRE_AND_FORGET — background, observe-only (result ignored)
-#
-# Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
-#
-# Run:
-#   uv run python docs/examples/plugins/execution_modes.py
-
-import logging
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginViolationError,
-    block,
-    hook,
-    modify,
-    plugin_scope,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("execution_modes")
-
-
-# --- Hook 1: SEQUENTIAL (priority=10) ---
-# Serial, chained execution. Can block the pipeline and modify writable
-# payload fields. Each hook receives the payload from the prior one.
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def sequential_hook(payload, ctx):
-    """Sequential hook — can block + modify, runs inline in priority order."""
-    log.info("[SEQUENTIAL      p=10] component=%s", payload.component_type)
-
-
-# --- Hook 2: TRANSFORM (priority=20) ---
-# Serial, chained execution after all SEQUENTIAL hooks. Can modify writable
-# payload fields but CANNOT block — blocking results are suppressed with a
-# warning. Ideal for data transformation (PII redaction, prompt rewriting).
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.TRANSFORM, priority=20)
-async def transform_hook(payload, ctx):
-    """Transform hook — can modify but cannot block."""
-    log.info("[TRANSFORM       p=20] enriching model_options")
-    opts = dict(payload.model_options or {})
-    opts.setdefault("temperature", 0.7)
-    return modify(payload, model_options=opts)
-
-
-# --- Hook 3: AUDIT (priority=30) ---
-# Serial execution after TRANSFORM. Observe-only: payload modifications are
-# discarded and violations are logged but do NOT block. Use for monitoring,
-# metrics, and gradual policy rollout.
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT, priority=30)
-async def audit_hook(payload, ctx):
-    """Audit hook — observe-only; violations logged but not enforced."""
-    log.info("[AUDIT           p=30] would block, but audit mode only logs")
-    return block("Audit-mode violation: for monitoring only", code="AUDIT_001")
-
-
-# --- Hook 4: CONCURRENT (priority=40) ---
-# Dispatched in parallel after AUDIT. Can block the pipeline (fail-fast on
-# first blocking result) but payload modifications are discarded to avoid
-# non-deterministic last-writer-wins races.
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.CONCURRENT, priority=40)
-async def concurrent_hook(payload, ctx):
-    """Concurrent hook — can block but cannot modify, runs in parallel."""
-    log.info("[CONCURRENT      p=40] component=%s", payload.component_type)
-
-
-# --- Hook 5: FIRE_AND_FORGET (priority=50) ---
-# Dispatched via asyncio.create_task() after all other phases. Receives a
-# copy-on-write snapshot of the payload. Cannot modify payloads or block
-# execution. Any exceptions are logged but do not propagate.
-# The log line may appear *after* the main result is printed.
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=50)
-async def fire_and_forget_hook(payload, ctx):
-    """Fire-and-forget hook — runs in background, never blocks."""
-    log.info("[FIRE_AND_FORGET p=50] logging in the background")
-
-
-if __name__ == "__main__":
-    log.info("--- Execution modes example ---")
-    log.info("")
-
-    with start_session() as m:
-        with plugin_scope(
-            sequential_hook,
-            transform_hook,
-            audit_hook,
-            concurrent_hook,
-            fire_and_forget_hook,
-        ):
-            try:
-                result = m.instruct("Name the four seasons.")
-                log.info("")
-                log.info("Result: %s", result)
-            except PluginViolationError as e:
-                log.error("Blocked: %s", e)
-
-    log.info("")
-    log.info(
-        "Note: the FIRE_AND_FORGET log may have appeared after the result "
-        "— that is expected behavior."
-    )
diff --git a/docs/examples/plugins/payload_modification.py b/docs/examples/plugins/payload_modification.py
deleted file mode 100644
index f0bb07b3f..000000000
--- a/docs/examples/plugins/payload_modification.py
+++ /dev/null
@@ -1,106 +0,0 @@
-# pytest: ollama, llm
-#
-# Payload modification — how to modify payloads in hooks.
-#
-# This example demonstrates:
-#   1. Using modify() to change writable payload fields
-#   2. Using model_copy(update={...}) directly for fine-grained control
-#   3. What happens when you try to modify a non-writable field (silently discarded)
-#
-# Run:
-#   uv run python docs/examples/plugins/payload_modification.py
-
-import logging
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginResult,
-    hook,
-    modify,
-    plugin_scope,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("payload_modification")
-
-
-# ---------------------------------------------------------------------------
-# Hook 1: Inject a max_tokens cap via modify() helper
-#
-# generation_pre_call writable fields include: model_options, format, tool_calls
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def cap_max_tokens(payload, ctx):
-    """Cap max_tokens to 256 on every generation call."""
-    opts = dict(payload.model_options or {})
-    if opts.get("max_tokens", float("inf")) > 256:
-        log.info("[cap_max_tokens] capping max_tokens to 256")
-        opts["max_tokens"] = 256
-        return modify(payload, model_options=opts)
-    log.info("[cap_max_tokens] max_tokens already within cap")
-
-
-# ---------------------------------------------------------------------------
-# Hook 2: Inject default model options via modify()
-#
-# component_pre_execute writable fields include: requirements, model_options, ...
-# This shows model_copy(update={...}) for fine-grained control.
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def inject_default_options(payload, ctx):
-    """Ensure a default temperature is set on every component execution."""
-    opts = dict(payload.model_options or {})
-    if "temperature" not in opts:
-        log.info("[inject_default_options] setting default temperature=0.7")
-        opts["temperature"] = 0.7
-        return modify(payload, model_options=opts)
-    log.info("[inject_default_options] temperature already set")
-
-
-# ---------------------------------------------------------------------------
-# Hook 3: Attempt to modify a non-writable field (observe it is discarded)
-#
-# generation_pre_call does NOT include 'action' or 'context' as writable.
-# This hook tries to modify 'context' — the change will be silently discarded
-# by the payload policy enforcement, and the original context will be used.
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=20)
-async def attempt_non_writable(payload, ctx):
-    """Try to modify a non-writable field — change will be silently discarded."""
-    log.info("[attempt_non_writable] attempting to modify 'hook' (non-writable)")
-    # This modification will be filtered out by the payload policy
-    modified = payload.model_copy(update={"hook": "tampered"})
-    return PluginResult(continue_processing=True, modified_payload=modified)
-
-
-if __name__ == "__main__":
-    log.info("--- Payload modification example ---")
-    log.info("")
-
-    with start_session() as m:
-        with plugin_scope(cap_max_tokens, inject_default_options, attempt_non_writable):
-            result = m.instruct(
-                "Summarize the benefits of open-source software in one sentence."
-            )
-            log.info("")
-            log.info("Result: %s", result)
-
-    log.info("")
-    log.info(
-        "Note: the 'hook' field modification in attempt_non_writable was silently "
-        "discarded by the payload policy — only writable fields are accepted."
-    )
diff --git a/docs/examples/plugins/plugin_scoped.py b/docs/examples/plugins/plugin_scoped.py
deleted file mode 100644
index 3be811666..000000000
--- a/docs/examples/plugins/plugin_scoped.py
+++ /dev/null
@@ -1,191 +0,0 @@
-# pytest: ollama, llm
-#
-# Scoped plugins — activate plugins for a specific block of code.
-#
-# Three forms of scoped activation are shown:
-#
-#   1. plugin_scope(*items)  — the universal scope; accepts standalone hooks,
-#                              Plugin instances, PluginSets, or any mix
-#   2. with <Plugin instance>  — Plugin subclass used directly as a context
-#                                manager (includes a blocked-topic scenario)
-#   3. with <PluginSet>        — a named group used directly as a context manager
-#
-# All three guarantee that the plugins are registered on __enter__ and
-# deregistered on __exit__, even if the block raises an exception.
-#
-# Run:
-#   uv run python docs/examples/plugins/plugin_scoped.py
-
-import logging
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    Plugin,
-    PluginMode,
-    PluginSet,
-    PluginViolationError,
-    hook,
-    plugin_scope,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("plugin_scoped")
-
-
-# ---------------------------------------------------------------------------
-# Reusable hook and plugin definitions
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=10)
-async def log_request(payload, ctx):
-    """Log every component action before execution."""
-    desc = str(payload.action._description) if payload.action else ""
-    preview = desc[:60].replace("\n", " ")
-    log.info("[log_request] → %r", preview)
-
-
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.FIRE_AND_FORGET, priority=10)
-async def log_response(payload, ctx):
-    """Log latency after each successful generation."""
-    log.info(
-        "[log_response] ← %s completed in %dms",
-        payload.component_type,
-        payload.latency_ms,
-    )
-
-
-class ContentGuard(Plugin, name="content-guard", priority=5):
-    """Blocks instructions that mention restricted topics."""
-
-    BLOCKED = ["financial advice", "medical diagnosis"]
-
-    @hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=5)
-    async def check_description(self, payload, ctx):
-        desc = str(payload.action._description).lower() if payload.action else ""
-        for topic in self.BLOCKED:
-            if topic in desc:
-                log.info("[content-guard] BLOCKED: %r", topic)
-                from mellea.plugins import block
-
-                return block(f"Restricted topic: {topic}", code="CONTENT_001")
-        log.info("[content-guard] description is clean")
-
-
-observability = PluginSet("observability", [log_request, log_response])
-
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def run(session, prompt: str) -> str | None:
-    try:
-        result = session.instruct(prompt)
-        log.info("Result: %s\n", result)
-        return str(result)
-    except PluginViolationError as e:
-        log.warning(
-            "Blocked on %s: [%s] %s (plugin=%s)\n",
-            e.hook_type,
-            e.code,
-            e.reason,
-            e.plugin_name,
-        )
-        return None
-
-
-# ---------------------------------------------------------------------------
-# Main
-# ---------------------------------------------------------------------------
-
-if __name__ == "__main__":
-    with start_session() as m:
-        # -------------------------------------------------------------------
-        # 1. plugin_scope — the universal scoped activation
-        #    Accepts standalone @hook functions, Plugin instances, PluginSets,
-        #    or any mix.  Nothing fires outside the block.
-        # -------------------------------------------------------------------
-        log.info("=== 1. plugin_scope ===")
-
-        log.info("Before scope: no plugins active")
-        # (no hooks fire here)
-
-        with plugin_scope(log_request, log_response):
-            log.info("Inside plugin_scope: log_request + log_response active")
-            run(m, "Name the planets of the solar system.")
-
-        log.info("After plugin_scope: hooks deregistered")
-        log.info("")
-
-        # -------------------------------------------------------------------
-        # 2. Plugin instance as context manager
-        #    A single Plugin subclass instance can be entered directly.
-        # -------------------------------------------------------------------
-        log.info("=== 2. Plugin instance as context manager ===")
-
-        guard = ContentGuard()
-        with guard:
-            log.info("Inside with guard: ContentGuard active")
-            run(m, "What is the boiling point of water?")
-            # This prompt triggers the content guard — it contains a blocked topic.
-            run(m, "Give me financial advice on stocks.")
-
-        log.info("After with guard: ContentGuard deregistered")
-        log.info("")
-
-        # -------------------------------------------------------------------
-        # 3. PluginSet as context manager
-        #    A PluginSet groups related hooks and can be entered as a unit.
-        # -------------------------------------------------------------------
-        log.info("=== 3. PluginSet as context manager ===")
-
-        with observability:
-            log.info("Inside with observability: log_request + log_response active")
-            run(m, "What is the capital of France?")
-
-        log.info("After with observability: hooks deregistered")
-        log.info("")
-
-        # -------------------------------------------------------------------
-        # 4. Nesting and mixing forms
-        #    Scopes stack cleanly — each exit deregisters only its own plugins.
-        # -------------------------------------------------------------------
-        log.info("=== 4. Nested / mixed scopes ===")
-
-        guard2 = ContentGuard()
-        with plugin_scope(log_request):
-            log.info("Outer scope: log_request active")
-            with guard2:
-                log.info("Inner scope: log_request + ContentGuard active")
-                run(m, "Briefly explain what a compiler does.")
-            log.info("ContentGuard exited — only log_request remains")
-            run(m, "What is 12 times 12?")
-
-        log.info("All scopes exited: no plugins active")
-        log.info("")
-
-        # -------------------------------------------------------------------
-        # 5. Cleanup on exception
-        #    Plugins are always deregistered even if the block raises.
-        # -------------------------------------------------------------------
-        log.info("=== 5. Cleanup on exception ===")
-
-        guard3 = ContentGuard()
-        try:
-            with guard3:
-                log.info("ContentGuard active — raising intentionally")
-                raise RuntimeError("deliberate error")
-        except RuntimeError:
-            pass
-
-        log.info("ContentGuard deregistered despite exception")
-        run(m, "What color is the sky?")  # guard3 does not fire here
diff --git a/docs/examples/plugins/plugin_set_composition.py b/docs/examples/plugins/plugin_set_composition.py
deleted file mode 100644
index 75d734468..000000000
--- a/docs/examples/plugins/plugin_set_composition.py
+++ /dev/null
@@ -1,155 +0,0 @@
-# pytest: ollama, llm
-#
-# PluginSet composition — group hooks by concern and register them together.
-#
-# This example shows how to:
-#   1. Define hooks across different concerns (security, observability)
-#   2. Group them into PluginSets
-#   3. Register observability globally and security per-session
-#
-# Run:
-#   uv run python docs/examples/plugins/plugin_set_composition.py
-
-import logging
-import sys
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginSet,
-    PluginViolationError,
-    block,
-    hook,
-    register,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("plugin_set")
-
-
-# --- Security hooks ---
-
-TOKEN_BUDGET = 4000
-
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_token_budget(payload, ctx):
-    """Enforce a conservative token budget."""
-    # Rough token estimate: ~4 chars per token
-    prompt_chars = sum(
-        len(str(c.format_for_llm()))
-        for c in (payload.context.view_for_generation() or [])
-    ) + len(
-        str(
-            payload.action.format_for_llm()
-            if hasattr(payload.action, "format_for_llm")
-            else payload.action
-        )
-    )
-    estimated = prompt_chars // 4 or 0
-    log.info("[security/token-budget] estimated=%d budget=%d", estimated, TOKEN_BUDGET)
-    if estimated > TOKEN_BUDGET:
-        return block(
-            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
-            code="TOKEN_BUDGET_001",
-        )
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=20)
-async def enforce_description_length(payload, ctx):
-    """Reject component actions whose text representation is too long."""
-    max_len = 2000
-    action_text = str(payload.action._description) if payload.action else ""
-    if len(action_text) > max_len:
-        log.info("[security/desc-length] BLOCKED: action is %d chars", len(action_text))
-        return block(
-            f"Action text exceeds {max_len} characters", code="DESC_LENGTH_001"
-        )
-    log.info("[security/desc-length] action length OK (%d chars)", len(action_text))
-
-
-# --- Observability hooks ---
-
-
-@hook(HookType.SESSION_POST_INIT, mode=PluginMode.AUDIT)
-async def trace_session_start(payload, ctx):
-    """Trace session initialization."""
-    log.info(
-        "[observability/trace] session started (session_id=%s)", payload.session_id
-    )
-
-
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
-async def trace_component_success(payload, ctx):
-    """Trace successful component executions."""
-    log.info(
-        "[observability/trace] %s completed in %dms",
-        payload.component_type,
-        payload.latency_ms,
-    )
-
-
-@hook(HookType.SESSION_CLEANUP, mode=PluginMode.AUDIT)
-async def trace_session_end(payload, ctx):
-    """Trace session cleanup."""
-    log.info(
-        "[observability/trace] session cleanup (interactions=%d)",
-        payload.interaction_count,
-    )
-
-
-# --- Compose into PluginSets ---
-
-security = PluginSet("security", [enforce_token_budget, enforce_description_length])
-observability = PluginSet(
-    "observability", [trace_session_start, trace_component_success, trace_session_end]
-)
-
-
-if __name__ == "__main__":
-    log.info("--- PluginSet composition example ---")
-    log.info("")
-
-    # Register observability globally — fires for all sessions
-    register(observability)
-    log.info("Registered observability plugins globally")
-    log.info("")
-
-    # Session with security plugins (session-scoped) + global observability
-    log.info("=== Session with security + observability ===")
-    with start_session(plugins=[security]) as m:
-        try:
-            result = m.instruct("Name three prime numbers.")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.error(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
-    log.info("")
-
-    log.info("=== Session with observability only ===")
-    with start_session() as m:
-        try:
-            result = m.instruct("What is 2 + 2?")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.warning(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
diff --git a/docs/examples/plugins/quickstart.py b/docs/examples/plugins/quickstart.py
deleted file mode 100644
index 098370d27..000000000
--- a/docs/examples/plugins/quickstart.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# pytest: ollama, llm
-#
-# Quick Start — your first Mellea plugin in under 30 lines.
-#
-# This example registers a single function hook that logs every generation
-# call, then runs a normal instruct() to show it in action.
-#
-# Run:
-#   uv run python docs/examples/plugins/quickstart.py
-
-import logging
-
-from mellea import start_session
-from mellea.plugins import HookType, hook, register
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("quickstart")
-
-
-@hook(HookType.GENERATION_PRE_CALL)
-async def log_generation(payload, ctx):
-    """Log a one-line summary before every LLM call."""
-    action_preview = str(payload.action)[:80].replace("\n", " ")
-    log.info("[log_generation] About to call LLM: %r", action_preview)
-
-
-register(log_generation)
-
-if __name__ == "__main__":
-    with start_session() as m:
-        result = m.instruct("What is the capital of France?")
-        log.info("Result: %s", result)
diff --git a/docs/examples/plugins/session_scoped.py b/docs/examples/plugins/session_scoped.py
deleted file mode 100644
index c9be94c71..000000000
--- a/docs/examples/plugins/session_scoped.py
+++ /dev/null
@@ -1,109 +0,0 @@
-# pytest: ollama, llm
-#
-# Session-scoped plugins — plugins that fire only within a specific session.
-#
-# This example demonstrates:
-#   1. A global observability hook that fires for ALL sessions
-#   2. A session-scoped content policy that only fires for one session
-#   3. A second session without the content policy to show the difference
-#
-# Run:
-#   uv run python docs/examples/plugins/session_scoped.py
-
-import logging
-import sys
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginViolationError,
-    block,
-    hook,
-    register,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("session_scoped")
-
-
-# --- Global hook: fires for every session ---
-
-
-@hook(HookType.SESSION_POST_INIT, mode=PluginMode.AUDIT)
-async def log_session_init(payload, ctx):
-    """Log when any session is initialized."""
-    log.info("[global] session initialized (session_id=%s)", payload.session_id)
-
-
-register(log_session_init)
-
-
-# --- Session-scoped hooks: passed via start_session(plugins=...) ---
-
-BLOCKED_TOPICS = ["weaponry", "explosives"]
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_content_policy(payload, ctx):
-    """Block components whose action text mentions restricted topics."""
-    desc = str(payload.action._description).lower() if payload.action else ""
-    for topic in BLOCKED_TOPICS:
-        if topic in desc:
-            log.info("[content-policy] BLOCKED: topic '%s' found in action", topic)
-            return block(f"Restricted topic: {topic}", code="CONTENT_POLICY_001")
-    log.info("[content-policy] action is clean — allowing")
-
-
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
-async def log_component_result(payload, ctx):
-    """Log the result of each successful component execution."""
-    log.info(
-        "[session-logger] component=%s latency=%dms",
-        payload.component_type,
-        payload.latency_ms,
-    )
-
-
-if __name__ == "__main__":
-    log.info("--- Session-scoped plugins example ---")
-    log.info("")
-
-    # Session 1: has content policy + result logging (session-scoped)
-    log.info("=== Session 1 (with content policy) ===")
-    with start_session(plugins=[enforce_content_policy, log_component_result]) as m:
-        try:
-            result = m.instruct("Explain photosynthesis in one sentence.")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.error(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
-    log.info("")
-
-    # Session 2: only global hooks fire (no content policy)
-    log.info("=== Session 2 (global hooks only, no content policy) ===")
-    with start_session() as m:
-        try:
-            result = m.instruct("What is the speed of light?")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.warning(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
diff --git a/docs/examples/plugins/standalone_hooks.py b/docs/examples/plugins/standalone_hooks.py
deleted file mode 100644
index 5838ddfc3..000000000
--- a/docs/examples/plugins/standalone_hooks.py
+++ /dev/null
@@ -1,97 +0,0 @@
-# pytest: ollama, llm
-#
-# Standalone function hooks — the simplest way to extend Mellea.
-#
-# This example registers two function-based hooks:
-#   1. A generation_pre_call hook that logs and enforces a token budget
-#   2. A component_post_success hook that logs generation latency
-#
-# Run:
-#   uv run python docs/examples/plugins/standalone_hooks.py
-
-import logging
-import sys
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginViolationError,
-    block,
-    hook,
-    register,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("standalone_hooks")
-
-
-TOKEN_BUDGET = 4000
-
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_token_budget(payload, ctx):
-    """Block generation calls that exceed the token budget."""
-    # Rough token estimate: ~4 chars per token
-    prompt_chars = sum(
-        len(str(c.format_for_llm()))
-        for c in (payload.context.view_for_generation() or [])
-    ) + len(
-        str(
-            payload.action.format_for_llm()
-            if hasattr(payload.action, "format_for_llm")
-            else payload.action
-        )
-    )
-    estimated = prompt_chars // 4 or 0
-    log.info(
-        "[enforce_token_budget] estimated_tokens=%d, budget=%d", estimated, TOKEN_BUDGET
-    )
-    if estimated > TOKEN_BUDGET:
-        return block(
-            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
-            code="TOKEN_BUDGET_001",
-            details={"estimated": estimated, "budget": TOKEN_BUDGET},
-        )
-    log.info("[enforce_token_budget] within budget — allowing generation")
-
-
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT, priority=50)
-async def log_latency(payload, ctx):
-    """Log latency after each successful component execution."""
-    log.info(
-        "[log_latency] component=%s latency=%dms",
-        payload.component_type,
-        payload.latency_ms,
-    )
-
-
-# Register both hooks globally — they fire for every session
-register([enforce_token_budget, log_latency])
-
-if __name__ == "__main__":
-    log.info("--- Standalone function hooks example ---")
-
-    with start_session() as m:
-        log.info("Session started (id=%s)", m.id)
-        log.info("")
-
-        try:
-            result = m.instruct("What are the three laws of robotics? Be brief.")
-            log.info("")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.warning(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
diff --git a/docs/examples/plugins/testing_plugins.py b/docs/examples/plugins/testing_plugins.py
deleted file mode 100644
index 2102a904d..000000000
--- a/docs/examples/plugins/testing_plugins.py
+++ /dev/null
@@ -1,133 +0,0 @@
-# Testing plugins — how to unit-test hook functions without a live session.
-#
-# This example shows how to:
-#   1. Construct a payload manually
-#   2. Call a hook function directly (await my_hook(payload, ctx))
-#   3. Assert the return value for both pass-through and blocking cases
-#
-# Run:
-#   uv run python docs/examples/plugins/testing_plugins.py
-
-import asyncio
-import logging
-from datetime import UTC, datetime, timezone
-from unittest.mock import MagicMock
-
-from mellea.plugins import HookType, PluginMode, block, hook
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-log = logging.getLogger("testing_plugins")
-
-
-# ---------------------------------------------------------------------------
-# The plugin under test
-# ---------------------------------------------------------------------------
-
-MAX_DESCRIPTION_LENGTH = 500
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_description_length(payload, ctx):
-    """Block components whose action text exceeds the maximum length."""
-    action_text = str(payload.action._description) if payload.action else ""
-    if len(action_text) > MAX_DESCRIPTION_LENGTH:
-        return block(
-            f"Action text is {len(action_text)} chars, max is {MAX_DESCRIPTION_LENGTH}",
-            code="DESC_TOO_LONG",
-            details={"length": len(action_text), "max": MAX_DESCRIPTION_LENGTH},
-        )
-
-
-# ---------------------------------------------------------------------------
-# Test helpers
-# ---------------------------------------------------------------------------
-
-
-def make_payload(action_text: str):
-    """Construct a minimal ComponentPreExecutePayload for testing.
-
-    In a real test suite you would import the payload class directly:
-        from mellea.plugins.hooks.component import ComponentPreExecutePayload
-    Here we use a simple mock to keep the example dependency-free.
-    """
-    payload = MagicMock()
-    payload.action = MagicMock()
-    payload.action._description = action_text
-    payload.component_type = "Instruction"
-    payload.timestamp = datetime.now(UTC)
-    payload.hook = HookType.COMPONENT_PRE_EXECUTE.value
-    return payload
-
-
-def make_ctx():
-    """Construct a minimal PluginContext mock."""
-    return MagicMock()
-
-
-# ---------------------------------------------------------------------------
-# Test cases
-# ---------------------------------------------------------------------------
-
-
-async def test_pass_through():
-    """Short action text should pass through (return None)."""
-    payload = make_payload("What is 2 + 2?")
-    ctx = make_ctx()
-
-    result = await enforce_description_length(payload, ctx)
-
-    assert result is None, f"Expected None (pass-through), got {result}"
-    log.info("[PASS] test_pass_through: short text passes through")
-
-
-async def test_blocks_long_description():
-    """Long action text should be blocked."""
-    long_text = "x" * (MAX_DESCRIPTION_LENGTH + 100)
-    payload = make_payload(long_text)
-    ctx = make_ctx()
-
-    result = await enforce_description_length(payload, ctx)
-
-    assert result is not None, "Expected a blocking PluginResult, got None"
-    assert result.continue_processing is False, "Expected continue_processing=False"
-    assert result.violation is not None, "Expected a violation"
-    assert result.violation.code == "DESC_TOO_LONG"
-    log.info(
-        "[PASS] test_blocks_long_description: long text is blocked with code=%s",
-        result.violation.code,
-    )
-
-
-async def test_exact_boundary():
-    """Text at exactly the max length should pass through."""
-    boundary_text = "y" * MAX_DESCRIPTION_LENGTH
-    payload = make_payload(boundary_text)
-    ctx = make_ctx()
-
-    result = await enforce_description_length(payload, ctx)
-
-    assert result is None, f"Expected None at boundary, got {result}"
-    log.info("[PASS] test_exact_boundary: boundary-length text passes through")
-
-
-# ---------------------------------------------------------------------------
-# Run all tests
-# ---------------------------------------------------------------------------
-
-
-async def run_all():
-    await test_pass_through()
-    await test_blocks_long_description()
-    await test_exact_boundary()
-    log.info("")
-    log.info("All tests passed!")
-
-
-if __name__ == "__main__":
-    log.info("--- Testing plugins example ---")
-    log.info("")
-    asyncio.run(run_all())
diff --git a/docs/examples/plugins/tool_hooks.py b/docs/examples/plugins/tool_hooks.py
deleted file mode 100644
index f97398e7e..000000000
--- a/docs/examples/plugins/tool_hooks.py
+++ /dev/null
@@ -1,459 +0,0 @@
-# pytest: ollama, llm
-#
-# Tool hook plugins — safety and security policies for tool invocation.
-#
-# This example demonstrates four enforcement / repair patterns using
-# TOOL_PRE_INVOKE and TOOL_POST_INVOKE hooks, built on top of the @tool
-# decorator examples:
-#
-#   1. Tool allow list     — blocks any tool not on an explicit approved list
-#   2. Argument validator  — inspects args before invocation (e.g., blocks
-#                            disallowed patterns in calculator expressions)
-#   3. Tool audit logger   — fire-and-forget logging of every tool call
-#   4. Arg sanitizer       — auto-fixes tool args before invocation instead of
-#                            blocking (e.g., strips unsafe chars from calculator
-#                            expressions and normalises location strings)
-#
-# Run:
-#   uv run python docs/examples/plugins/tool_hooks.py
-
-import dataclasses
-import logging
-
-from mellea import start_session
-from mellea.backends import ModelOption, tool
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginResult,
-    PluginSet,
-    PluginViolationError,
-    block,
-    hook,
-)
-from mellea.stdlib.functional import _call_tools
-from mellea.stdlib.requirements import uses_tool
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("tool_hooks")
-
-
-# ---------------------------------------------------------------------------
-# Tools (same as tool_decorator_example.py)
-# ---------------------------------------------------------------------------
-
-
-@tool
-def get_weather(location: str, days: int = 1) -> dict:
-    """Get weather forecast for a location.
-
-    Args:
-        location: City name
-        days: Number of days to forecast (default: 1)
-    """
-    return {
-        "location": location,
-        "days": str(days),
-        "forecast": "sunny",
-        "temperature": "72",
-    }
-
-
-@tool
-def search_web(query: str, max_results: int = 5) -> list[str]:
-    """Search the web for information.
-
-    Args:
-        query: Search query
-        max_results: Maximum number of results to return
-    """
-    return [f"Result {i + 1} for '{query}'" for i in range(max_results)]
-
-
-@tool(name="calculator")
-def calculate(expression: str) -> str:
-    """Evaluate a mathematical expression.
-
-    Args:
-        expression: Mathematical expression to evaluate (e.g., "2 + 2 * 3")
-    """
-    # Only digits, whitespace, and basic arithmetic operators are permitted.
-    # This is enforced upstream by validate_tool_args, but the function
-    # applies its own check as a defence-in-depth measure.
-    allowed = set("0123456789 +-*/(). ")
-    if not set(expression).issubset(allowed):
-        return "Error: expression contains disallowed characters"
-    try:
-        # Safe: only reaches here when characters are in the allowed set
-        result = _safe_calc(expression)
-        return f"Result: {result}"
-    except Exception as e:
-        return f"Error: {e!s}"
-
-
-def _safe_calc(expression: str) -> float:
-    """Evaluate a restricted arithmetic expression (no builtins, no names)."""
-    import operator as op
-    import re
-
-    tokens = re.findall(r"[\d.]+|[+\-*/()]", expression)
-    # Build a simple recursive-descent expression for +, -, *, /, ()
-    pos = [0]
-
-    def parse_expr():
-        left = parse_term()
-        while pos[0] < len(tokens) and tokens[pos[0]] in ("+", "-"):
-            tok = tokens[pos[0]]
-            pos[0] += 1
-            right = parse_term()
-            left = op.add(left, right) if tok == "+" else op.sub(left, right)
-        return left
-
-    def parse_term():
-        left = parse_factor()
-        while pos[0] < len(tokens) and tokens[pos[0]] in ("*", "/"):
-            tok = tokens[pos[0]]
-            pos[0] += 1
-            right = parse_factor()
-            left = op.mul(left, right) if tok == "*" else op.truediv(left, right)
-        return left
-
-    def parse_factor():
-        tok = tokens[pos[0]]
-        if tok == "(":
-            pos[0] += 1
-            val = parse_expr()
-            pos[0] += 1  # consume ")"
-            return val
-        pos[0] += 1
-        return float(tok)
-
-    return parse_expr()
-
-
-# ---------------------------------------------------------------------------
-# Plugin 1 — Tool allow list (enforce)
-#
-# Only tools explicitly listed in ALLOWED_TOOLS may be called.  Any tool call
-# for an unlisted tool is blocked before it reaches the function.
-# ---------------------------------------------------------------------------
-
-ALLOWED_TOOLS: frozenset[str] = frozenset({"get_weather", "calculator"})
-
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
-async def enforce_tool_allowlist(payload, _):
-    """Block any tool not on the explicit allow list."""
-    tool_name = payload.model_tool_call.name
-    if tool_name not in ALLOWED_TOOLS:
-        log.warning(
-            "[allowlist] BLOCKED tool=%r — not in allowed set %s",
-            tool_name,
-            sorted(ALLOWED_TOOLS),
-        )
-        return block(
-            f"Tool '{tool_name}' is not permitted",
-            code="TOOL_NOT_ALLOWED",
-            details={"tool": tool_name, "allowed": sorted(ALLOWED_TOOLS)},
-        )
-    log.info("[allowlist] permitted tool=%r", tool_name)
-
-
-# ---------------------------------------------------------------------------
-# Plugin 2 — Argument validator (enforce)
-#
-# Inspects the arguments before a tool is invoked.  For the calculator,
-# reject expressions that contain characters outside the safe set.
-# This runs after the allow list so it only sees permitted tools.
-# ---------------------------------------------------------------------------
-
-_CALCULATOR_ALLOWED_CHARS: frozenset[str] = frozenset("0123456789 +-*/(). ")
-
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=10)
-async def validate_tool_args(payload, _):
-    """Validate tool arguments before invocation."""
-    tool_name = payload.model_tool_call.name
-    tool_args = payload.model_tool_call.args or {}
-    if tool_name == "calculator":
-        expression = tool_args.get("expression", "")
-        disallowed = set(expression) - _CALCULATOR_ALLOWED_CHARS
-        if disallowed:
-            log.warning(
-                "[arg-validator] BLOCKED calculator expression=%r (disallowed chars: %s)",
-                expression,
-                disallowed,
-            )
-            return block(
-                f"Calculator expression contains disallowed characters: {disallowed}",
-                code="UNSAFE_EXPRESSION",
-                details={"expression": expression, "disallowed": sorted(disallowed)},
-            )
-        log.info("[arg-validator] calculator expression=%r is safe", expression)
-    else:
-        log.info("[arg-validator] no arg validation required for tool=%r", tool_name)
-
-
-# ---------------------------------------------------------------------------
-# Plugin 3 — Tool audit logger (fire-and-forget)
-#
-# Records every tool invocation outcome for audit purposes.  Uses
-# fire_and_forget so it never adds latency to the main execution path.
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.TOOL_POST_INVOKE, mode=PluginMode.FIRE_AND_FORGET)
-async def audit_tool_calls(payload, _):
-    """Log the result of every tool call for audit purposes."""
-    status = "OK" if payload.success else "ERROR"
-    tool_name = payload.model_tool_call.name
-    log.info(
-        "[audit] tool=%r status=%s latency=%dms args=%s",
-        tool_name,
-        status,
-        payload.execution_time_ms,
-        payload.model_tool_call.args,
-    )
-    if not payload.success and payload.error is not None:
-        log.error("[audit] tool=%r error=%r", tool_name, str(payload.error))
-
-
-# ---------------------------------------------------------------------------
-# Plugin 4 — Arg sanitizer (repair)
-#
-# Instead of blocking, this plugin auto-fixes tool arguments before
-# invocation.  Two repairs are applied:
-#
-#   calculator  — strips any character outside the safe arithmetic set so
-#                 that the expression can still be evaluated.  A warning is
-#                 logged showing what was removed.
-#
-#   get_weather — normalises the location string to title-case and strips
-#                 leading/trailing whitespace (e.g. "  NEW YORK " → "New York").
-#
-# The plugin returns a modified ModelToolCall via model_copy so that the
-# corrected args are what actually reaches the tool function.
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=15)
-async def sanitize_tool_args(payload, _) -> PluginResult:
-    """Auto-fix tool arguments rather than blocking on unsafe input."""
-    mtc = payload.model_tool_call
-    tool_name = mtc.name
-    args = dict(mtc.args or {})
-    updated: dict[str, object] = {}
-
-    if tool_name == "calculator":
-        raw_expr = str(args.get("expression", ""))
-        sanitized = "".join(c for c in raw_expr if c in _CALCULATOR_ALLOWED_CHARS)
-        if sanitized != raw_expr:
-            removed = set(raw_expr) - _CALCULATOR_ALLOWED_CHARS
-            log.warning(
-                "[sanitizer] calculator: stripped disallowed chars %s from expression=%r → %r",
-                sorted(removed),
-                raw_expr,
-                sanitized,
-            )
-            updated["expression"] = sanitized
-
-    elif tool_name == "get_weather":
-        raw_location = str(args.get("location", ""))
-        normalised = raw_location.strip().title()
-        if normalised != raw_location:
-            log.info(
-                "[sanitizer] get_weather: normalised location %r → %r",
-                raw_location,
-                normalised,
-            )
-            updated["location"] = normalised
-
-    if not updated:
-        return None  # nothing changed — pass through as-is
-
-    new_args = {**args, **updated}
-    new_call = dataclasses.replace(mtc, args=new_args)
-    modified = payload.model_copy(update={"model_tool_call": new_call})
-    return PluginResult(continue_processing=True, modified_payload=modified)
-
-
-# ---------------------------------------------------------------------------
-# Compose into PluginSets for clean session-scoped registration
-# ---------------------------------------------------------------------------
-
-tool_security = PluginSet(
-    "tool-security", [enforce_tool_allowlist, validate_tool_args, audit_tool_calls]
-)
-
-tool_sanitizer = PluginSet("tool-sanitizer", [sanitize_tool_args, audit_tool_calls])
-
-
-# ---------------------------------------------------------------------------
-# Scenarios
-# ---------------------------------------------------------------------------
-
-
-def _run_scenario(name: str, fn) -> None:
-    """Run a scenario function, logging any PluginViolationError without halting."""
-    log.info("=== %s ===", name)
-    try:
-        fn()
-    except PluginViolationError as e:
-        log.warning(
-            "Execution blocked on %s: [%s] %s (plugin=%s)",
-            e.hook_type,
-            e.code,
-            e.reason,
-            e.plugin_name,
-        )
-    log.info("")
-
-
-def scenario_1_allowed_tool(all_tools):
-    """Scenario 1: allowed tool call (get_weather)."""
-    with start_session(plugins=[tool_security]) as m:
-        result = m.instruct(
-            description="What is the weather in Boston for the next 3 days?",
-            requirements=[uses_tool("get_weather")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if tool_outputs:
-            log.info("Tool returned: %s", tool_outputs[0].content)
-        else:
-            log.error("Expected tool call but none were executed")
-
-
-def scenario_2_blocked_tool(all_tools):
-    """Scenario 2: blocked tool call (search_web not on allow list)."""
-    with start_session(plugins=[tool_security]) as m:
-        result = m.instruct(
-            description="Search the web for the latest Python news.",
-            requirements=[uses_tool("search_web")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if not tool_outputs:
-            log.info("Tool call was blocked — outputs list is empty, as expected")
-        else:
-            log.warning("Expected tool to be blocked but it executed: %s", tool_outputs)
-
-
-def scenario_3_safe_calculator(all_tools):
-    """Scenario 3: safe calculator expression goes through."""
-    with start_session(plugins=[tool_security]) as m:
-        result = m.instruct(
-            description="Use the calculator to compute 6 * 7.",
-            requirements=[uses_tool("calculator")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if tool_outputs:
-            log.info("Tool returned: %s", tool_outputs[0].content)
-        else:
-            log.error("Expected tool call but none were executed")
-
-
-def scenario_4_blocked_calculator(all_tools):
-    """Scenario 4: unsafe calculator expression is blocked."""
-    with start_session(plugins=[tool_security]) as m:
-        result = m.instruct(
-            description=(
-                "Use the calculator on this expression: "
-                "__builtins__['print']('injected')"
-            ),
-            requirements=[uses_tool("calculator")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if not tool_outputs:
-            log.info("Tool call was blocked — outputs list is empty, as expected")
-        else:
-            log.warning("Expected tool to be blocked but it executed: %s", tool_outputs)
-
-
-def scenario_5_sanitizer_calculator(all_tools):
-    """Scenario 5: arg sanitizer auto-fixes an unsafe calculator expression."""
-    with start_session(plugins=[tool_sanitizer]) as m:
-        result = m.instruct(
-            description=(
-                "Use the calculator on this expression: "
-                "6 * 7 + __import__('os').getpid()"
-            ),
-            requirements=[uses_tool("calculator")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if tool_outputs:
-            log.info(
-                "Sanitized expression evaluated — tool returned: %s",
-                tool_outputs[0].content,
-            )
-        else:
-            log.error("Expected sanitized tool call but none were executed")
-
-
-def scenario_6_sanitizer_location(all_tools):
-    """Scenario 6: arg sanitizer normalises a messy location string."""
-    with start_session(plugins=[tool_sanitizer]) as m:
-        result = m.instruct(
-            description="What is the weather in '  NEW YORK  '?",
-            requirements=[uses_tool("get_weather")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if tool_outputs:
-            log.info(
-                "Weather fetched with normalised location — tool returned: %s",
-                tool_outputs[0].content,
-            )
-        else:
-            log.error("Expected tool call but none were executed")
-
-
-# ---------------------------------------------------------------------------
-# Main — six scenarios
-# ---------------------------------------------------------------------------
-
-if __name__ == "__main__":
-    log.info("--- Tool hook plugins example ---")
-    log.info("")
-
-    all_tools = [get_weather, search_web, calculate]
-
-    _run_scenario(
-        "Scenario 1: allowed tool — get_weather",
-        lambda: scenario_1_allowed_tool(all_tools),
-    )
-    _run_scenario(
-        "Scenario 2: blocked tool — search_web not on allow list",
-        lambda: scenario_2_blocked_tool(all_tools),
-    )
-    _run_scenario(
-        "Scenario 3: safe calculator expression",
-        lambda: scenario_3_safe_calculator(all_tools),
-    )
-    _run_scenario(
-        "Scenario 4: unsafe calculator expression blocked",
-        lambda: scenario_4_blocked_calculator(all_tools),
-    )
-    _run_scenario(
-        "Scenario 5: arg sanitizer auto-fixes calculator expression",
-        lambda: scenario_5_sanitizer_calculator(all_tools),
-    )
-    _run_scenario(
-        "Scenario 6: arg sanitizer normalises location in get_weather",
-        lambda: scenario_6_sanitizer_location(all_tools),
-    )
diff --git a/docs/examples/tools/interpreter_example.py b/docs/examples/tools/interpreter_example.py
index de532e6a1..df314b09e 100644
--- a/docs/examples/tools/interpreter_example.py
+++ b/docs/examples/tools/interpreter_example.py
@@ -64,10 +64,8 @@ def example_4(m: MelleaSession):
                 "The plot should be written to /tmp/output.png",
                 tool_name=local_code_interpreter,
                 arg_name="code",
-                validation_fn=lambda code_snippet: (
-                    "/tmp/output.png" in code_snippet
-                    and "plt.show()" not in code_snippet
-                ),
+                validation_fn=lambda code_snippet: "/tmp/output.png" in code_snippet
+                and "plt.show()" not in code_snippet,
             ),
         ],
         model_options={
diff --git a/mellea/backends/dummy.py b/mellea/backends/dummy.py
index 81c7ca2c3..5a13e08ac 100644
--- a/mellea/backends/dummy.py
+++ b/mellea/backends/dummy.py
@@ -33,7 +33,7 @@ def __init__(self, responses: list[str] | None):
         self.responses = responses
         self.idx = 0
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
diff --git a/mellea/backends/huggingface.py b/mellea/backends/huggingface.py
index cdff13aee..1f4412079 100644
--- a/mellea/backends/huggingface.py
+++ b/mellea/backends/huggingface.py
@@ -341,7 +341,7 @@ def _make_dc_cache(self, toks, **model_options):
             ).past_key_values
         return dc
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -547,7 +547,8 @@ async def _generate_from_intrinsic(
         #       us having specific caching for each Component/Message.
 
         generate_input, other_input = (
-            granite_formatters.base.util.chat_completion_request_to_transformers_inputs(  # type: ignore
+            # type: ignore
+            granite_formatters.base.util.chat_completion_request_to_transformers_inputs(
                 rewritten, self._tokenizer, self._model
             )
         )
@@ -564,7 +565,6 @@ async def _generate_from_intrinsic(
         )
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = ctx.view_for_generation()
         output._action = action
         output._model_options = model_options
@@ -837,7 +837,6 @@ async def _generate_from_context_with_kv_cache(
             )
 
             output = ModelOutputThunk(None)
-            output._start = datetime.datetime.now()
             output._context = ctx.view_for_generation()
             output._action = action
             output._model_options = model_options
@@ -982,7 +981,6 @@ async def _generate_from_context_standard(
             )
 
             output = ModelOutputThunk(None)
-            output._start = datetime.datetime.now()
             output._context = ctx.view_for_generation()
             output._action = action
             output._model_options = model_options
diff --git a/mellea/backends/litellm.py b/mellea/backends/litellm.py
index 78a4b8ec4..90cc430d9 100644
--- a/mellea/backends/litellm.py
+++ b/mellea/backends/litellm.py
@@ -125,7 +125,7 @@ def __init__(
 
         self._past_event_loops: set[int] = set()
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -356,7 +356,6 @@ async def _generate_from_chat_context_standard(
         )
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/ollama.py b/mellea/backends/ollama.py
index 014734f2c..04dc22fb3 100644
--- a/mellea/backends/ollama.py
+++ b/mellea/backends/ollama.py
@@ -258,7 +258,7 @@ def _make_backend_specific_and_remove(
         )
         return ModelOption.remove_special_keys(backend_specific)
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -402,7 +402,6 @@ async def generate_from_chat_context(
         )  # type: ignore
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/openai.py b/mellea/backends/openai.py
index ad0031189..86f701a32 100644
--- a/mellea/backends/openai.py
+++ b/mellea/backends/openai.py
@@ -329,7 +329,7 @@ def _make_backend_specific_and_remove(
 
         return model_opts
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -542,7 +542,6 @@ async def _generate_from_chat_context_standard(
         )  # type: ignore
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/vllm.py b/mellea/backends/vllm.py
index bc42af75e..230952119 100644
--- a/mellea/backends/vllm.py
+++ b/mellea/backends/vllm.py
@@ -239,7 +239,7 @@ def _model(self) -> vllm.AsyncLLMEngine:
 
         return self._underlying_model
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -350,7 +350,6 @@ async def _generate_from_context_standard(
             # if stream:
 
             output = ModelOutputThunk(None)
-            output._start = datetime.datetime.now()
 
             generator = self._model.generate(  # type: ignore
                 request_id=str(id(output)),
diff --git a/mellea/backends/watsonx.py b/mellea/backends/watsonx.py
index c356825ee..8bc363aab 100644
--- a/mellea/backends/watsonx.py
+++ b/mellea/backends/watsonx.py
@@ -263,7 +263,7 @@ def _make_backend_specific_and_remove(
 
         return model_opts
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -430,7 +430,6 @@ async def generate_from_chat_context(
             )
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/core/backend.py b/mellea/core/backend.py
index 82f9fae5f..fbb4650f3 100644
--- a/mellea/core/backend.py
+++ b/mellea/core/backend.py
@@ -9,17 +9,13 @@
 
 import abc
 import asyncio
-import functools
 import itertools
-import time
 from collections.abc import Sequence
-from typing import final, overload
+from typing import overload
 
 import pydantic
 import typing_extensions
 
-from ..plugins.manager import has_plugins, invoke_hook
-from ..plugins.types import HookType
 from .base import C, CBlock, Component, Context, ModelOutputThunk
 from .utils import FancyLogger
 
@@ -60,44 +56,14 @@ async def generate_from_context(
     ) -> tuple[ModelOutputThunk[C], Context]:
         """Generates a model output from a context. May not mutate the context. This must be called from a running event loop as it creates a task to run the generation request.
 
-        Args:
-            action: The last item of the context should be passed in as an `action` instead of as part of the `ctx`. See `docs/dev/generate_signature_decisions.md`.
-            ctx: The rest of the context.
-            format: A response format to used for structured outputs / constrained decoding.
-            model_options: Any model options to upsert into the defaults for this call.
-            tool_calls: If `True`, then tool calls are extracts from the `action` `Component`. Assumption: if tool_calls is enabled, then the action `Component` has a TemplateRepresentation
-
-        Returns:
-            a tuple of (ModelOutputThunk, Context) where the Context is the new context after the generation has been completed.
-        """
-        # --- generation_pre_call hook ---
-        if has_plugins(HookType.GENERATION_PRE_CALL):
-            from ..plugins.hooks.generation import GenerationPreCallPayload
-
-            pre_payload = GenerationPreCallPayload(
-                action=action,
-                context=ctx,
-                format=format,
-                model_options=model_options or {},
-                tool_calls=tool_calls,
-            )
-            _, pre_payload = await invoke_hook(
-                HookType.GENERATION_PRE_CALL, pre_payload, backend=self
-            )
-            model_options = pre_payload.model_options
-            format = pre_payload.format
-            tool_calls = pre_payload.tool_calls
-
-        return await self._generate_from_context(
-            action,
-            ctx,
-            format=format,
-            model_options=model_options,
-            tool_calls=tool_calls,
-        )
+    All concrete backends must implement ``generate_from_context`` (context-aware
+    single-action generation) and ``generate_from_raw`` (context-free batch
+    generation). The ``do_generate_walk`` / ``do_generate_walks`` helpers can be
+    used to pre-compute any unresolved ``ModelOutputThunk`` leaves before rendering.
+    """
 
     @abc.abstractmethod
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -106,7 +72,7 @@ async def _generate_from_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """Backend implementers should override this method to generate the actual response.
+        """Generates a model output from a context. May not mutate the context. This must be called from a running event loop as it creates a task to run the generation request.
 
         Args:
             action: The last item of the context should be passed in as an `action` instead of as part of the `ctx`. See `docs/dev/generate_signature_decisions.md`.
diff --git a/mellea/core/base.py b/mellea/core/base.py
index bef046b20..cf6603c00 100644
--- a/mellea/core/base.py
+++ b/mellea/core/base.py
@@ -322,7 +322,11 @@ def _copy_from(self, other: ModelOutputThunk) -> None:
         self._generate_log = other._generate_log
 
     def is_computed(self) -> bool:
-        """Returns true only if this Thunk has already been filled."""
+        """Returns true only if this Thunk has already been filled.
+
+        Returns:
+            ``True`` if the thunk value has been set, ``False`` otherwise.
+        """
         return self._computed
 
     @property
@@ -738,6 +742,9 @@ def last_turn(self) -> ContextTurn | None:
         """The last input/output turn of the context.
 
         This can be partial. If the last event is an input, then the output is None.
+
+        Returns:
+            The most recent turn, or ``None`` if the context is empty.
         """
         history = self.as_list(last_n_components=2)
 
diff --git a/mellea/formatters/granite/retrievers/util.py b/mellea/formatters/granite/retrievers/util.py
index 3a1cf3784..66aeaa93d 100644
--- a/mellea/formatters/granite/retrievers/util.py
+++ b/mellea/formatters/granite/retrievers/util.py
@@ -5,8 +5,8 @@
 # Standard
 import os
 import pathlib
+import urllib
 import urllib.error
-import urllib.request
 import zipfile
 
 # Third Party
diff --git a/mellea/stdlib/components/instruction.py b/mellea/stdlib/components/instruction.py
index 30faaea20..c7fac9cc8 100644
--- a/mellea/stdlib/components/instruction.py
+++ b/mellea/stdlib/components/instruction.py
@@ -62,7 +62,6 @@ def __init__(
         requirements = [] if requirements is None else requirements
         icl_examples = [] if icl_examples is None else icl_examples
         grounding_context = dict() if grounding_context is None else grounding_context
-
         # Apply templates. All inputs must be strings if provided.
         if user_variables is not None:
             if description is not None:
diff --git a/mellea/stdlib/components/mify.py b/mellea/stdlib/components/mify.py
index 26aa6da3a..a4b900269 100644
--- a/mellea/stdlib/components/mify.py
+++ b/mellea/stdlib/components/mify.py
@@ -450,10 +450,8 @@ def _get_non_duplicate_members(
         inspect.getmembers(
             obj,
             # Checks for ismethod or isfunction because of the methods added from the MifiedProtocol.
-            predicate=lambda x: (
-                (inspect.ismethod(x) or inspect.isfunction(x))
-                and x.__name__ not in dict(inspect.getmembers(check_duplicates)).keys()
-            ),
+            predicate=lambda x: (inspect.ismethod(x) or inspect.isfunction(x))
+            and x.__name__ not in dict(inspect.getmembers(check_duplicates)).keys(),
         )
     )
     return members
@@ -476,9 +474,8 @@ def _get_non_duplicate_fields(
         if k not in dict(
             inspect.getmembers(
                 check_duplicates,
-                predicate=lambda x: (
-                    not inspect.isfunction(x) and not inspect.ismethod(x)
-                ),
+                predicate=lambda x: not inspect.isfunction(x)
+                and not inspect.ismethod(x),
             )
         ):
             narrowed[k] = v
diff --git a/mellea/stdlib/functional.py b/mellea/stdlib/functional.py
index a9caab140..02d705915 100644
--- a/mellea/stdlib/functional.py
+++ b/mellea/stdlib/functional.py
@@ -3,7 +3,6 @@
 from __future__ import annotations
 
 import asyncio
-import time
 from collections.abc import Coroutine
 from typing import Any, Literal, overload
 
@@ -20,7 +19,6 @@
     GenerateLog,
     ImageBlock,
     ModelOutputThunk,
-    ModelToolCall,
     Requirement,
     S,
     SamplingResult,
@@ -28,9 +26,6 @@
     ValidationResult,
 )
 from ..helpers import _run_async_in_thread
-from ..plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
-from ..plugins.manager import has_plugins, invoke_hook
-from ..plugins.types import HookType
 from ..telemetry import set_span_attribute, trace_application
 from .components import Instruction, Message, MObjectProtocol, ToolMessage, mify
 from .context import SimpleContext
@@ -510,9 +505,6 @@ async def aact(
     Returns:
         A (ModelOutputThunk, Context) if `return_sampling_results` is `False`, else returns a `SamplingResult`.
     """
-    import time
-    import traceback
-
     with trace_application(
         "aact",
         action_type=action.__class__.__name__,
@@ -528,164 +520,96 @@ async def aact(
                 "\nSee the async section of the tutorial: https://github.com/generative-computing/mellea/blob/main/docs/tutorial.md#chapter-12-asynchronicity"
             )
 
-        _component_type_name = type(action).__name__
-
-        # --- component_pre_execute hook ---
-        if has_plugins(HookType.COMPONENT_PRE_EXECUTE):
-            from ..plugins.hooks.component import ComponentPreExecutePayload
+        sampling_result: SamplingResult | None = None
+        generate_logs: list[GenerateLog] = []
 
-            pre_exec_payload = ComponentPreExecutePayload(
-                component_type=_component_type_name,
-                action=action,
-                requirements=requirements or [],
-                model_options=model_options or {},
-                format=format,
-                strategy=strategy,
-                tool_calls_enabled=tool_calls,
-            )
-            _, pre_exec_payload = await invoke_hook(
-                HookType.COMPONENT_PRE_EXECUTE, pre_exec_payload, backend=backend
+        if return_sampling_results:
+            assert strategy is not None, (
+                "Must provide a SamplingStrategy when return_sampling_results==True"
             )
-            strategy = pre_exec_payload.strategy or strategy
-            requirements = pre_exec_payload.requirements or requirements
-            model_options = pre_exec_payload.model_options or model_options
-            format = pre_exec_payload.format
-            tool_calls = pre_exec_payload.tool_calls_enabled
 
-        t0 = time.monotonic()
-
-        try:
-            sampling_result: SamplingResult | None = None
-            generate_logs: list[GenerateLog] = []
-
-            if return_sampling_results:
-                assert strategy is not None, (
-                    "Must provide a SamplingStrategy when return_sampling_results==True"
+        if strategy is None:
+            # Only use the strategy if one is provided. Add a warning if requirements were passed in though.
+            if requirements is not None and len(requirements) > 0:
+                FancyLogger.get_logger().warning(
+                    "Calling the function with NO strategy BUT requirements. No requirement is being checked!"
                 )
 
-            if strategy is None:
-                # Only use the strategy if one is provided. Add a warning if requirements were passed in though.
-                if requirements is not None and len(requirements) > 0:
-                    FancyLogger.get_logger().warning(
-                        "Calling the function with NO strategy BUT requirements. No requirement is being checked!"
-                    )
-
-                result, new_ctx = await backend.generate_from_context(
-                    action,
-                    ctx=context,
-                    format=format,
-                    model_options=model_options,
-                    tool_calls=tool_calls,
-                )
-                await result.avalue()
+            result, new_ctx = await backend.generate_from_context(
+                action,
+                ctx=context,
+                format=format,
+                model_options=model_options,
+                tool_calls=tool_calls,
+            )
+            await result.avalue()
 
-                # ._generate_log should never be None after generation.
-                assert result._generate_log is not None
-                result._generate_log.is_final_result = True
-                generate_logs.append(result._generate_log)
+            # ._generate_log should never be None after generation.
+            assert result._generate_log is not None
+            result._generate_log.is_final_result = True
+            generate_logs.append(result._generate_log)
 
-            else:
-                # Always sample if a strategy is provided, even if no requirements were provided.
-                # Some sampling strategies don't use requirements or set them when instantiated.
-
-                sampling_result = await strategy.sample(
-                    action,
-                    context=context,
-                    backend=backend,
-                    requirements=requirements,
-                    validation_ctx=None,
-                    format=format,
-                    model_options=model_options,
-                    tool_calls=tool_calls,
-                )
+        else:
+            # Always sample if a strategy is provided, even if no requirements were provided.
+            # Some sampling strategies don't use requirements or set them when instantiated.
+
+            sampling_result = await strategy.sample(
+                action,
+                context=context,
+                backend=backend,
+                requirements=requirements,
+                validation_ctx=None,
+                format=format,
+                model_options=model_options,
+                tool_calls=tool_calls,
+            )
 
-                assert sampling_result.sample_generations is not None
-                for result in sampling_result.sample_generations:
-                    assert (
-                        result._generate_log is not None
-                    )  # Cannot be None after generation.
-                    generate_logs.append(result._generate_log)
-
-                new_ctx = sampling_result.result_ctx
-                result = sampling_result.result
-                assert sampling_result.result._generate_log is not None
-                assert sampling_result.result._generate_log.is_final_result, (
-                    "generate logs from the final result returned by the sampling strategy must be marked as final"
-                )
+            assert sampling_result.sample_generations is not None
+            for result in sampling_result.sample_generations:
+                assert (
+                    result._generate_log is not None
+                )  # Cannot be None after generation.
+                generate_logs.append(result._generate_log)
 
-            # Add span attributes for the result
-            set_span_attribute(span, "num_generate_logs", len(generate_logs))
-            if sampling_result:
-                set_span_attribute(
-                    span, "sampling_success", bool(sampling_result.result)
-                )
+            new_ctx = sampling_result.result_ctx
+            result = sampling_result.result
+            assert sampling_result.result._generate_log is not None
+            assert sampling_result.result._generate_log.is_final_result, (
+                "generate logs from the final result returned by the sampling strategy must be marked as final"
+            )
 
-            # Log the model response (truncated for large responses)
-            try:
-                response_value = (
-                    str(result.value)
-                    if hasattr(result, "value") and result.value
-                    else str(result)
-                )
-                # Truncate to 500 chars to avoid overwhelming trace storage
-                if len(response_value) > 500:
-                    response_value = response_value[:500] + "..."
-                set_span_attribute(span, "response", response_value)
-                set_span_attribute(
-                    span,
-                    "response_length",
-                    len(str(result.value) if hasattr(result, "value") else str(result)),
-                )
-            except Exception:
-                # If we can't get the response, don't fail the trace
-                pass
-
-            # --- component_post_success hook ---
-            if has_plugins(HookType.COMPONENT_POST_SUCCESS):
-                from ..plugins.hooks.component import ComponentPostSuccessPayload
-
-                success_payload = ComponentPostSuccessPayload(
-                    component_type=_component_type_name,
-                    action=action,
-                    result=result,
-                    context_before=context,
-                    context_after=new_ctx,
-                    generate_log=generate_logs[-1] if generate_logs else None,
-                    sampling_results=sampling_result.sample_generations
-                    if sampling_result
-                    else None,
-                    latency_ms=int((time.monotonic() - t0) * 1000),
-                )
-                await invoke_hook(
-                    HookType.COMPONENT_POST_SUCCESS, success_payload, backend=backend
-                )
+        # Add span attributes for the result
+        set_span_attribute(span, "num_generate_logs", len(generate_logs))
+        if sampling_result:
+            set_span_attribute(span, "sampling_success", bool(sampling_result.result))
 
-            if return_sampling_results:
-                assert (
-                    sampling_result is not None
-                )  # Needed for the type checker but should never happen.
-                return sampling_result
-            else:
-                return result, new_ctx
-
-        except Exception as exc:
-            # --- component_post_error hook ---
-            if has_plugins(HookType.COMPONENT_POST_ERROR):
-                from ..plugins.hooks.component import ComponentPostErrorPayload
-
-                error_payload = ComponentPostErrorPayload(
-                    component_type=_component_type_name,
-                    action=action,
-                    error=exc,
-                    error_type=type(exc).__name__,
-                    stack_trace=traceback.format_exc(),
-                    context=context,
-                    model_options=model_options or {},
-                )
-                await invoke_hook(
-                    HookType.COMPONENT_POST_ERROR, error_payload, backend=backend
-                )
-            raise
+        # Log the model response (truncated for large responses)
+        try:
+            response_value = (
+                str(result.value)
+                if hasattr(result, "value") and result.value
+                else str(result)
+            )
+            # Truncate to 500 chars to avoid overwhelming trace storage
+            if len(response_value) > 500:
+                response_value = response_value[:500] + "..."
+            set_span_attribute(span, "response", response_value)
+            set_span_attribute(
+                span,
+                "response_length",
+                len(str(result.value) if hasattr(result, "value") else str(result)),
+            )
+        except Exception:
+            # If we can't get the response, don't fail the trace
+            pass
+
+        if return_sampling_results:
+            assert (
+                sampling_result is not None
+            )  # Needed for the type checker but should never happen.
+            return sampling_result
+        else:
+            return result, new_ctx
 
 
 @overload
@@ -893,22 +817,6 @@ async def avalidate(
             validation_target_ctx = validation_target_ctx.add(input)
         validation_target_ctx = validation_target_ctx.add(output)
 
-    # --- validation_pre_check hook ---
-    if has_plugins(HookType.VALIDATION_PRE_CHECK):
-        from ..plugins.hooks.validation import ValidationPreCheckPayload
-
-        pre_payload = ValidationPreCheckPayload(
-            requirements=reqs,
-            target=output,
-            context=validation_target_ctx,
-            model_options=model_options or {},
-        )
-        _, pre_payload = await invoke_hook(
-            HookType.VALIDATION_PRE_CHECK, pre_payload, backend=backend
-        )
-        reqs = pre_payload.requirements
-        model_options = pre_payload.model_options or model_options
-
     rvs: list[ValidationResult] = []
     coroutines: list[Coroutine[Any, Any, ValidationResult]] = []
 
@@ -937,22 +845,6 @@ async def avalidate(
                 #       up with GenerateLogs.
                 generate_logs.append(None)  # type: ignore
 
-    # --- validation_post_check hook ---
-    if has_plugins(HookType.VALIDATION_POST_CHECK):
-        from ..plugins.hooks.validation import ValidationPostCheckPayload
-
-        post_payload = ValidationPostCheckPayload(
-            requirements=reqs,
-            results=rvs,
-            all_validations_passed=all(bool(r) for r in rvs),
-            passed_count=sum(1 for r in rvs if bool(r)),
-            failed_count=sum(1 for r in rvs if not bool(r)),
-        )
-        _, post_payload = await invoke_hook(
-            HookType.VALIDATION_POST_CHECK, post_payload, backend=backend
-        )
-        rvs = post_payload.results
-
     return rvs
 
 
@@ -1040,7 +932,7 @@ async def atransform(
         tool_calls=True,
     )
 
-    tools = await _acall_tools(transformed, backend)
+    tools = _call_tools(transformed, backend)
 
     # Transform only supports calling one tool call since it cannot currently synthesize multiple outputs.
     # Attempt to choose the best one to call.
@@ -1110,83 +1002,26 @@ def _call_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolMessage]
     Returns:
         list[ToolMessage]: A list of tool messages that can be empty.
     """
-    return _run_async_in_thread(_acall_tools(result, backend))
-
-
-async def _acall_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolMessage]:
-    """Call all the tools requested in a result's tool calls object.
-
-    Call tools with tool_pre_invoke / tool_post_invoke hook support.
-
-    Returns:
-        list[ToolMessage]: A list of tool messages that can be empty.
-    """
+    # There might be multiple tool calls returned.
     outputs: list[ToolMessage] = []
     tool_calls = result.tool_calls
-    if not tool_calls:
-        return outputs
-
-    for name, tool in tool_calls.items():
-        # --- tool_pre_invoke ---
-        if has_plugins(HookType.TOOL_PRE_INVOKE):
-            pre_payload = ToolPreInvokePayload(model_tool_call=tool)
-            _, pre_payload = await invoke_hook(
-                HookType.TOOL_PRE_INVOKE, pre_payload, backend=backend
-            )
-            if pre_payload.model_tool_call is not tool and isinstance(
-                pre_payload.model_tool_call, ModelToolCall
-            ):
-                tool = pre_payload.model_tool_call
-
-        # --- execute the tool ---
-        t0 = time.monotonic()
-        success = True
-        error: Exception | None = None
-        try:
-            output = tool.call_func()
-        except Exception as e:
-            output = e
-            success = False
-            error = e
-        latency_ms = int((time.monotonic() - t0) * 1000)
-
-        # Default to the output. Attempt to properly print it. If that doesn't result in a str,
-        # stringify it.
-        content = str(output)
-        if isinstance(backend, FormatterBackend):
-            content = backend.formatter.print(output)  # type: ignore
-            content = str(content)
-
-        tool_msg = ToolMessage(
-            role="tool",
-            content=content,
-            tool_output=output,
-            name=name,
-            args=tool.args,
-            tool=tool,
-        )
-
-        # --- tool_post_invoke ---
-        if has_plugins(HookType.TOOL_POST_INVOKE):
-            post_payload = ToolPostInvokePayload(
-                model_tool_call=tool,
-                tool_output=output,
-                tool_message=tool_msg,
-                execution_time_ms=latency_ms,
-                success=success,
-                error=error,
-            )
-            _, post_payload = await invoke_hook(
-                HookType.TOOL_POST_INVOKE, post_payload, backend=backend
-            )
-            # If a plugin modified tool_output, reformat and rebuild the ToolMessage
-            if post_payload.tool_output is not output:
-                output = post_payload.tool_output
-                content = str(output)
-                if isinstance(backend, FormatterBackend):
-                    content = backend.formatter.print(output)  # type: ignore
-                    content = str(content)
-                tool_msg = ToolMessage(
+    if tool_calls:
+        # Call the tools and decide what to do.
+        for name, tool in tool_calls.items():
+            try:
+                output = tool.call_func()
+            except Exception as e:
+                output = e
+
+            # Default to the output. Attempt to properly print it. If that doesn't result in a str,
+            # stringify it.
+            content = str(output)
+            if isinstance(backend, FormatterBackend):
+                content = backend.formatter.print(output)  # type: ignore
+                content = str(content)
+
+            outputs.append(
+                ToolMessage(
                     role="tool",
                     content=content,
                     tool_output=output,
@@ -1194,7 +1029,5 @@ async def _acall_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolM
                     args=tool.args,
                     tool=tool,
                 )
-
-        outputs.append(tool_msg)
-
+            )
     return outputs
diff --git a/mellea/stdlib/sampling/base.py b/mellea/stdlib/sampling/base.py
index 59c044dd0..ce1728627 100644
--- a/mellea/stdlib/sampling/base.py
+++ b/mellea/stdlib/sampling/base.py
@@ -32,8 +32,6 @@
     SamplingStrategy,
     ValidationResult,
 )
-from ...plugins.manager import has_plugins, invoke_hook
-from ...plugins.types import HookType
 from ...stdlib import functional as mfuncs
 from ..components import Instruction, Message
 from ..context import ChatContext
@@ -164,28 +162,10 @@ async def sample(
         reqs = list(set(reqs))
 
         loop_count = 0
-
-        # --- sampling_loop_start hook ---
-        effective_loop_budget = self.loop_budget
-        if has_plugins(HookType.SAMPLING_LOOP_START):
-            from ...plugins.hooks.sampling import SamplingLoopStartPayload
-
-            start_payload = SamplingLoopStartPayload(
-                strategy_name=type(self).__name__,
-                action=action,
-                context=context,
-                requirements=reqs,
-                loop_budget=self.loop_budget,
-            )
-            _, start_payload = await invoke_hook(
-                HookType.SAMPLING_LOOP_START, start_payload, backend=backend
-            )
-            effective_loop_budget = start_payload.loop_budget
-
         loop_budget_range_iterator = (
-            tqdm.tqdm(range(effective_loop_budget))  # type: ignore
+            tqdm.tqdm(range(self.loop_budget))  # type: ignore
             if show_progress
-            else range(effective_loop_budget)  # type: ignore
+            else range(self.loop_budget)  # type: ignore
         )
 
         next_action = deepcopy(action)
@@ -233,50 +213,14 @@ async def sample(
             sampled_actions.append(next_action)
             sample_contexts.append(result_ctx)
 
-            all_validations_passed = all(bool(s[1]) for s in constraint_scores)
-
-            # --- sampling_iteration hook ---
-            if has_plugins(HookType.SAMPLING_ITERATION):
-                from ...plugins.hooks.sampling import SamplingIterationPayload
-
-                iter_payload = SamplingIterationPayload(
-                    iteration=loop_count,
-                    action=next_action,
-                    result=result,
-                    validation_results=constraint_scores,
-                    all_validations_passed=all_validations_passed,
-                    valid_count=sum(1 for s in constraint_scores if bool(s[1])),
-                    total_count=len(constraint_scores),
-                )
-                await invoke_hook(
-                    HookType.SAMPLING_ITERATION, iter_payload, backend=backend
-                )
-
             # if all vals are true -- break and return success
-            if all_validations_passed:
+            if all(bool(s[1]) for s in constraint_scores):
                 flog.info("SUCCESS")
                 assert (
                     result._generate_log is not None
                 )  # Cannot be None after generation.
                 result._generate_log.is_final_result = True
 
-                # --- sampling_loop_end hook (success) ---
-                if has_plugins(HookType.SAMPLING_LOOP_END):
-                    from ...plugins.hooks.sampling import SamplingLoopEndPayload
-
-                    end_payload = SamplingLoopEndPayload(
-                        success=True,
-                        iterations_used=loop_count,
-                        final_result=result,
-                        final_action=next_action,
-                        final_context=result_ctx,
-                        all_results=sampled_results,
-                        all_validations=sampled_scores,
-                    )
-                    await invoke_hook(
-                        HookType.SAMPLING_LOOP_END, end_payload, backend=backend
-                    )
-
                 # SUCCESS !!!!
                 return SamplingResult(
                     result_index=len(sampled_results) - 1,
@@ -311,23 +255,6 @@ async def sample(
                 sampled_scores,
             )
 
-            # --- sampling_repair hook ---
-            if has_plugins(HookType.SAMPLING_REPAIR):
-                from ...plugins.hooks.sampling import SamplingRepairPayload
-
-                repair_payload = SamplingRepairPayload(
-                    repair_type=getattr(self, "_get_repair_type", lambda: "unknown")(),
-                    failed_action=sampled_actions[-1],
-                    failed_result=sampled_results[-1],
-                    failed_validations=sampled_scores[-1],
-                    repair_action=next_action,
-                    repair_context=next_context,
-                    repair_iteration=loop_count,
-                )
-                await invoke_hook(
-                    HookType.SAMPLING_REPAIR, repair_payload, backend=backend
-                )
-
         flog.info(
             f"Invoking select_from_failure after {len(sampled_results)} failed attempts."
         )
@@ -345,25 +272,6 @@ async def sample(
         )  # Cannot be None after generation.
         sampled_results[best_failed_index]._generate_log.is_final_result = True  # type: ignore
 
-        # --- sampling_loop_end hook (failure) ---
-        if has_plugins(HookType.SAMPLING_LOOP_END):
-            from ...plugins.hooks.sampling import SamplingLoopEndPayload
-
-            _final_ctx = (
-                sample_contexts[best_failed_index] if sample_contexts else context
-            )
-            end_payload = SamplingLoopEndPayload(
-                success=False,
-                iterations_used=loop_count,
-                final_result=sampled_results[best_failed_index],
-                final_action=sampled_actions[best_failed_index],
-                final_context=_final_ctx,
-                failure_reason=f"Budget exhausted after {loop_count} iterations",
-                all_results=sampled_results,
-                all_validations=sampled_scores,
-            )
-            await invoke_hook(HookType.SAMPLING_LOOP_END, end_payload, backend=backend)
-
         return SamplingResult(
             result_index=best_failed_index,
             success=False,
diff --git a/mellea/stdlib/session.py b/mellea/stdlib/session.py
index acdd42c67..73a968f7b 100644
--- a/mellea/stdlib/session.py
+++ b/mellea/stdlib/session.py
@@ -34,9 +34,6 @@
     SamplingStrategy,
     ValidationResult,
 )
-from ..helpers import _run_async_in_thread
-from ..plugins.manager import has_plugins, invoke_hook
-from ..plugins.types import HookType
 from ..stdlib import functional as mfuncs
 from ..telemetry import set_span_attribute, trace_application
 from .components import Message
@@ -129,7 +126,6 @@ def start_session(
     ctx: Context | None = None,
     *,
     model_options: dict | None = None,
-    plugins: list[Any] | None = None,
     **backend_kwargs,
 ) -> MelleaSession:
     """Start a new Mellea session. Can be used as a context manager or called directly.
@@ -153,9 +149,6 @@ def start_session(
             Use ChatContext() for chat-style conversations.
         model_options: Additional model configuration options that will be passed
             to the backend (e.g., temperature, max_tokens, etc.).
-        plugins: Optional list of plugins scoped to this session. Accepts
-            ``@hook``-decorated functions, ``@plugin``-decorated class instances,
-            ``MelleaPlugin`` instances, or ``PluginSet`` instances.
         **backend_kwargs: Additional keyword arguments passed to the backend constructor.
 
     Returns:
@@ -215,23 +208,6 @@ def start_session(
         model_id=model_id_str,
         context_type=ctx.__class__.__name__ if ctx else "SimpleContext",
     ):
-        # --- session_pre_init hook ---
-        if has_plugins(HookType.SESSION_PRE_INIT):
-            from ..plugins.hooks.session import SessionPreInitPayload
-
-            pre_payload = SessionPreInitPayload(
-                backend_name=backend_name,
-                model_id=model_id_str,
-                model_options=model_options,
-                context_type=ctx.__class__.__name__ if ctx else "SimpleContext",
-            )
-            _, pre_payload = _run_async_in_thread(
-                invoke_hook(HookType.SESSION_PRE_INIT, pre_payload)
-            )
-            # Apply writable field modifications
-            model_id_str = pre_payload.model_id
-            model_options = pre_payload.model_options
-
         backend_class = backend_name_to_class(backend_name)
         if backend_class is None:
             raise Exception(
@@ -249,26 +225,7 @@ def start_session(
             + (f", model_options={model_options}" if model_options else "")
         )
 
-        session = MelleaSession(backend, ctx)
-
-        # Register session-scoped plugins
-        if plugins:
-            from ..plugins.registry import register as register_plugins
-
-            register_plugins(plugins, session_id=session.id)
-
-        # --- session_post_init hook ---
-        if has_plugins(HookType.SESSION_POST_INIT):
-            from ..plugins.hooks.session import SessionPostInitPayload
-
-            post_payload = SessionPostInitPayload(
-                session_id=session.id, model_id=model_id_str, context=session.ctx
-            )
-            _run_async_in_thread(
-                invoke_hook(HookType.SESSION_POST_INIT, post_payload, backend=backend)
-            )
-
-        return session
+        return MelleaSession(backend, ctx)
 
 
 class MelleaSession:
diff --git a/pyproject.toml b/pyproject.toml
index 27844bc64..65d2cede9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -99,12 +99,7 @@ sandbox = [
 
 backends = ["mellea[watsonx,hf,vllm,litellm]"]
 
-hooks = [
-    "cpex>=0.1.0.dev10; python_version >= '3.11'",
-    "grpcio>=1.78.0",
-]
-
-all = ["mellea[backends,docling,tools,telemetry,server,sandbox,granite_retriever,hooks]"]
+all = ["mellea[backends,docling,tools,telemetry,server,sandbox,granite_retriever]"]
 
 [dependency-groups]
 # Development groups: uv sync --all-groups
@@ -122,7 +117,6 @@ test = [
     "pytest-asyncio",
     "pytest-cov>=6.0.0",
     "pytest-timeout",  # For test suite timeout configuration
-    "pytest-recording",  # For blocking network access and using canned server responses
     "pytest-xdist>=3.8.0", # For concurrent test execution (uv run pytest -n auto test/)
     "psutil",  # For test infrastructure: RAM detection in conftest.py
     "nbmake>=1.5.5",  # Notebook testing
diff --git a/test/conftest.py b/test/conftest.py
index b140d8eba..617d21dc2 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -161,12 +161,6 @@ def add_option_safe(option_name, **kwargs):
         default=False,
         help="Register all acceptance plugin sets for every test",
     )
-    add_option_safe(
-        "--isolate-heavy",
-        action="store_true",
-        default=False,
-        help="Run heavy GPU tests in isolated subprocesses (slower, but guarantees CUDA memory release)",
-    )
 
 
 def pytest_configure(config):
@@ -206,11 +200,6 @@ def pytest_configure(config):
         "markers", "llm: Tests that make LLM calls (needs at least Ollama)"
     )
 
-    # Plugin acceptance markers
-    config.addinivalue_line(
-        "markers", "plugins: Acceptance tests that register all built-in plugin sets"
-    )
-
     # Store vLLM isolation flag in config
     config._vllm_process_isolation = False
 
@@ -612,14 +601,9 @@ async def register_acceptance_sets(request):
         # If plugins are enabled, we don't need to re-enable them for this specific test.
         return
 
-    from mellea.plugins.registry import _HAS_PLUGIN_FRAMEWORK
-
-    if not _HAS_PLUGIN_FRAMEWORK:
-        yield
-        return
-
     from mellea.plugins import register
     from mellea.plugins.manager import shutdown_plugins
+
     from test.plugins._acceptance_sets import ALL_ACCEPTANCE_SETS
 
     for ps in ALL_ACCEPTANCE_SETS:
@@ -638,14 +622,9 @@ async def auto_register_acceptance_sets(request):
         yield
         return
 
-    from mellea.plugins.registry import _HAS_PLUGIN_FRAMEWORK
-
-    if not _HAS_PLUGIN_FRAMEWORK:
-        yield
-        return
-
     from mellea.plugins import register
     from mellea.plugins.manager import shutdown_plugins
+
     from test.plugins._acceptance_sets import ALL_ACCEPTANCE_SETS
 
     for ps in ALL_ACCEPTANCE_SETS:
diff --git a/test/core/test_astream_exception_propagation.py b/test/core/test_astream_exception_propagation.py
index cd441250a..490cd0c9b 100644
--- a/test/core/test_astream_exception_propagation.py
+++ b/test/core/test_astream_exception_propagation.py
@@ -5,8 +5,6 @@
 (which assumes system invariants that don't hold during failures).
 """
 
-import datetime
-
 import pytest
 
 from mellea.core.base import CBlock, GenerateType, ModelOutputThunk
@@ -29,7 +27,6 @@ def _make_thunk(post_process=_failing_post_process):
     mot._post_process = post_process
     mot._action = CBlock("test")
     mot._chunk_size = 0
-    mot._start = datetime.datetime.now()
     return mot
 
 
diff --git a/test/decompose/test_decompose.py b/test/decompose/test_decompose.py
index 883ff905f..de21d9d31 100644
--- a/test/decompose/test_decompose.py
+++ b/test/decompose/test_decompose.py
@@ -23,6 +23,7 @@ def test_no_dependencies(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -31,6 +32,7 @@ def test_no_dependencies(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -39,6 +41,7 @@ def test_no_dependencies(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -60,6 +63,7 @@ def test_simple_linear_dependency(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -68,6 +72,7 @@ def test_simple_linear_dependency(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -76,6 +81,7 @@ def test_simple_linear_dependency(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -97,6 +103,7 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task D",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -105,6 +112,7 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -113,6 +121,7 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -121,6 +130,7 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -142,6 +152,7 @@ def test_case_insensitive_dependencies(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "task_b",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -150,6 +161,7 @@ def test_case_insensitive_dependencies(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -170,6 +182,7 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -178,6 +191,7 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -187,6 +201,7 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task D",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -195,6 +210,7 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -219,6 +235,7 @@ def test_nonexistent_dependency_ignored(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -230,6 +247,7 @@ def test_nonexistent_dependency_ignored(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -250,6 +268,7 @@ def test_renumbers_subtask_descriptions(self) -> None:
             {
                 "subtask": "3. Do task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -258,6 +277,7 @@ def test_renumbers_subtask_descriptions(self) -> None:
             {
                 "subtask": "2. Do task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -266,6 +286,7 @@ def test_renumbers_subtask_descriptions(self) -> None:
             {
                 "subtask": "1. Do task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -287,6 +308,7 @@ def test_renumbers_only_numbered_subtasks(self) -> None:
             {
                 "subtask": "2. Numbered task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -295,6 +317,7 @@ def test_renumbers_only_numbered_subtasks(self) -> None:
             {
                 "subtask": "Unnumbered task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -315,6 +338,7 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "4. Final task",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -323,6 +347,7 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "3. Third task",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -331,6 +356,7 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "2. Second task",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -339,6 +365,7 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "1. First task",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -366,6 +393,7 @@ def test_circular_dependency_two_nodes(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -374,6 +402,7 @@ def test_circular_dependency_two_nodes(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -390,6 +419,7 @@ def test_circular_dependency_three_nodes(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -398,6 +428,7 @@ def test_circular_dependency_three_nodes(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -406,6 +437,7 @@ def test_circular_dependency_three_nodes(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -422,6 +454,7 @@ def test_self_dependency(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -459,6 +492,7 @@ def test_no_input_vars_no_dependencies(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -482,6 +516,7 @@ def test_valid_input_vars(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A with {{ USER_INPUT }}",
                     "input_vars_required": ["USER_INPUT"],
@@ -504,6 +539,7 @@ def test_case_insensitive_input_vars(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["user_input"],  # lowercase
@@ -527,6 +563,7 @@ def test_valid_dependencies_in_order(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -535,6 +572,7 @@ def test_valid_dependencies_in_order(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -559,6 +597,7 @@ def test_dependencies_out_of_order_triggers_reorder(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -567,6 +606,7 @@ def test_dependencies_out_of_order_triggers_reorder(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -591,6 +631,7 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task D",
                     "tag": "TASK_D",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do D",
                     "input_vars_required": [],
@@ -599,6 +640,7 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task C",
                     "tag": "TASK_C",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do C",
                     "input_vars_required": [],
@@ -607,6 +649,7 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -615,6 +658,7 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -643,6 +687,7 @@ def test_missing_required_input_var(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["MISSING_VAR"],
@@ -667,6 +712,7 @@ def test_missing_required_input_var_with_some_provided(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["VAR1", "VAR2"],
@@ -691,6 +737,7 @@ def test_dependency_on_nonexistent_subtask(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -715,6 +762,7 @@ def test_circular_dependency_detected(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -723,6 +771,7 @@ def test_circular_dependency_detected(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -744,6 +793,7 @@ def test_empty_input_var_list_treated_as_none(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["REQUIRED_VAR"],
diff --git a/test/plugins/__init__.py b/test/plugins/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/test/plugins/_acceptance_sets.py b/test/plugins/_acceptance_sets.py
deleted file mode 100644
index 62066dc7f..000000000
--- a/test/plugins/_acceptance_sets.py
+++ /dev/null
@@ -1,53 +0,0 @@
-"""Plugin sets covering every HookType x PluginMode for acceptance tests.
-
-Each set contains one hook per call site in a single execution mode:
-  1. logging_plugin_set  — AUDIT (observe-only)
-  2. sequential_plugin_set — SEQUENTIAL (serial, can block + modify)
-  3. concurrent_plugin_set — CONCURRENT (parallel, can block only)
-  4. fandf_plugin_set — FIRE_AND_FORGET (background, observe-only)
-"""
-
-from mellea.plugins import HookType, PluginMode, PluginSet, hook
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-_ALL_HOOK_TYPES = list(HookType)
-
-
-def _make_hooks(prefix: str, mode: PluginMode):
-    """Generate one async hook function per HookType in the given mode."""
-    hooks = []
-    for ht in _ALL_HOOK_TYPES:
-
-        @hook(ht, mode=mode)
-        async def _hook(payload, ctx, _ht=ht, _prefix=prefix):
-            print(f"[{_prefix}] {_ht.value}:", payload)
-
-        # Give each closure a unique qualname so the adapter names don't clash.
-        _hook.__qualname__ = f"{prefix}_{ht.value}"
-        _hook.__name__ = f"{prefix}_{ht.value}"
-        hooks.append(_hook)
-    return hooks
-
-
-# ---------------------------------------------------------------------------
-# Plugin sets
-# ---------------------------------------------------------------------------
-
-logging_plugin_set = PluginSet("logging", _make_hooks("log", PluginMode.AUDIT))
-sequential_plugin_set = PluginSet(
-    "sequential", _make_hooks("seq", PluginMode.SEQUENTIAL)
-)
-concurrent_plugin_set = PluginSet(
-    "concurrent", _make_hooks("concurrent", PluginMode.CONCURRENT)
-)
-fandf_plugin_set = PluginSet("fandf", _make_hooks("fandf", PluginMode.FIRE_AND_FORGET))
-
-ALL_ACCEPTANCE_SETS = [
-    logging_plugin_set,
-    sequential_plugin_set,
-    concurrent_plugin_set,
-    fandf_plugin_set,
-]
diff --git a/test/plugins/test_all_payloads.py b/test/plugins/test_all_payloads.py
deleted file mode 100644
index b1b93401a..000000000
--- a/test/plugins/test_all_payloads.py
+++ /dev/null
@@ -1,973 +0,0 @@
-"""Tests for all remaining hook payload models not covered in test_payloads.py.
-
-Covers:
-- SessionPostInitPayload, SessionResetPayload, SessionCleanupPayload
-- ComponentPreExecutePayload, ComponentPostSuccessPayload, ComponentPostErrorPayload
-- GenerationPostCallPayload
-- ValidationPreCheckPayload, ValidationPostCheckPayload
-- SamplingLoopStartPayload, SamplingIterationPayload,
-  SamplingRepairPayload, SamplingLoopEndPayload
-- ToolPreInvokePayload, ToolPostInvokePayload
-"""
-
-import pytest
-from pydantic import ValidationError
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins.base import MelleaBasePayload
-from mellea.plugins.hooks.component import (
-    ComponentPostErrorPayload,
-    ComponentPostSuccessPayload,
-    ComponentPreExecutePayload,
-)
-from mellea.plugins.hooks.generation import GenerationPostCallPayload
-from mellea.plugins.hooks.sampling import (
-    SamplingIterationPayload,
-    SamplingLoopEndPayload,
-    SamplingLoopStartPayload,
-    SamplingRepairPayload,
-)
-from mellea.plugins.hooks.session import (
-    SessionCleanupPayload,
-    SessionPostInitPayload,
-    SessionResetPayload,
-)
-from mellea.plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
-from mellea.plugins.hooks.validation import (
-    ValidationPostCheckPayload,
-    ValidationPreCheckPayload,
-)
-
-# ---------------------------------------------------------------------------
-# Sentinel objects used as stand-ins for live Mellea references (Any fields).
-# ---------------------------------------------------------------------------
-_SENTINEL_SESSION = object()
-_SENTINEL_CONTEXT = object()
-_SENTINEL_ACTION = object()
-_SENTINEL_COMPONENT = object()
-_SENTINEL_RESULT = object()
-_SENTINEL_STRATEGY = object()
-_SENTINEL_FORMAT = object()
-_SENTINEL_GENERATE_LOG = object()
-_SENTINEL_ERROR = RuntimeError("boom")
-_SENTINEL_CALLABLE = lambda: None  # noqa: E731
-_SENTINEL_TOOL_CALL = object()
-_SENTINEL_TOOL_MESSAGE = object()
-_SENTINEL_REQUIREMENT = object()
-_SENTINEL_VALIDATION_RESULT = object()
-
-
-# ===========================================================================
-# Session payloads
-# ===========================================================================
-
-
-class TestSessionPostInitPayload:
-    def test_defaults(self):
-        payload = SessionPostInitPayload()
-        assert payload.session_id == ""
-        assert payload.model_id == ""
-        assert payload.context is None
-        assert payload.request_id == ""
-        assert payload.hook == ""
-        assert payload.user_metadata == {}
-        assert payload.timestamp is not None
-
-    def test_construction_with_values(self):
-        payload = SessionPostInitPayload(
-            session_id="s-001",
-            model_id="granite4:micro",
-            context=_SENTINEL_CONTEXT,
-            request_id="r-001",
-            hook="session_post_init",
-        )
-        assert payload.session_id == "s-001"
-        assert payload.model_id == "granite4:micro"
-        assert payload.context is _SENTINEL_CONTEXT
-        assert payload.request_id == "r-001"
-        assert payload.hook == "session_post_init"
-
-    def test_frozen(self):
-        payload = SessionPostInitPayload(session_id="s-001")
-        with pytest.raises(ValidationError):
-            payload.session_id = "s-002"
-
-    def test_frozen_base_field(self):
-        payload = SessionPostInitPayload(request_id="r-001")
-        with pytest.raises(ValidationError):
-            payload.request_id = "r-002"
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SessionPostInitPayload(
-            session_id="s-001", model_id="gpt-4", request_id="r-001"
-        )
-        modified = payload.model_copy(update={"model_id": "gpt-3.5"})
-        assert modified.model_id == "gpt-3.5"
-        assert payload.model_id == "gpt-4"
-        assert modified.request_id == "r-001"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SessionPostInitPayload, MelleaBasePayload)
-        payload = SessionPostInitPayload(
-            session_id="s-abc",
-            request_id="r-abc",
-            hook="my_hook",
-            user_metadata={"env": "test"},
-        )
-        assert payload.session_id == "s-abc"
-        assert payload.user_metadata == {"env": "test"}
-
-
-class TestSessionResetPayload:
-    def test_defaults(self):
-        payload = SessionResetPayload()
-        assert payload.previous_context is None
-        assert payload.session_id is None
-        assert payload.request_id == ""
-
-    def test_construction_with_values(self):
-        payload = SessionResetPayload(
-            previous_context=_SENTINEL_CONTEXT, session_id="s-002", hook="session_reset"
-        )
-        assert payload.previous_context is _SENTINEL_CONTEXT
-        assert payload.session_id == "s-002"
-        assert payload.hook == "session_reset"
-
-    def test_frozen(self):
-        payload = SessionResetPayload(previous_context=_SENTINEL_CONTEXT)
-        with pytest.raises(ValidationError):
-            payload.previous_context = object()
-
-    def test_frozen_base_field(self):
-        payload = SessionResetPayload(hook="session_reset")
-        with pytest.raises(ValidationError):
-            payload.hook = "other_hook"
-
-    def test_model_copy_creates_modified_copy(self):
-        new_ctx = object()
-        payload = SessionResetPayload(
-            previous_context=_SENTINEL_CONTEXT, session_id="s-002"
-        )
-        modified = payload.model_copy(update={"previous_context": new_ctx})
-        assert modified.previous_context is new_ctx
-        assert payload.previous_context is _SENTINEL_CONTEXT
-        assert modified.session_id == "s-002"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SessionResetPayload, MelleaBasePayload)
-
-
-class TestSessionCleanupPayload:
-    def test_defaults(self):
-        payload = SessionCleanupPayload()
-        assert payload.context is None
-        assert payload.interaction_count == 0
-        assert payload.session_id is None
-
-    def test_construction_with_values(self):
-        payload = SessionCleanupPayload(
-            context=_SENTINEL_CONTEXT,
-            interaction_count=42,
-            session_id="s-003",
-            hook="session_cleanup",
-        )
-        assert payload.context is _SENTINEL_CONTEXT
-        assert payload.interaction_count == 42
-        assert payload.session_id == "s-003"
-
-    def test_frozen(self):
-        payload = SessionCleanupPayload(interaction_count=5)
-        with pytest.raises(ValidationError):
-            payload.interaction_count = 6
-
-    def test_frozen_context_field(self):
-        payload = SessionCleanupPayload(context=_SENTINEL_CONTEXT)
-        with pytest.raises(ValidationError):
-            payload.context = object()
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SessionCleanupPayload(context=_SENTINEL_CONTEXT, interaction_count=10)
-        modified = payload.model_copy(update={"interaction_count": 99})
-        assert modified.interaction_count == 99
-        assert payload.interaction_count == 10
-        assert modified.context is _SENTINEL_CONTEXT
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SessionCleanupPayload, MelleaBasePayload)
-        payload = SessionCleanupPayload(user_metadata={"run": "cleanup"})
-        assert payload.user_metadata == {"run": "cleanup"}
-
-
-# ===========================================================================
-# Component payloads
-# ===========================================================================
-
-
-class TestComponentPreExecutePayload:
-    def test_defaults(self):
-        payload = ComponentPreExecutePayload()
-        assert payload.component_type == ""
-        assert payload.action is None
-        assert payload.context_view is None
-        assert payload.requirements == []
-        assert payload.model_options == {}
-        assert payload.format is None
-        assert payload.strategy is None
-        assert payload.tool_calls_enabled is False
-
-    def test_construction_with_values(self):
-        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
-        payload = ComponentPreExecutePayload(
-            component_type="Extractor",
-            action=_SENTINEL_ACTION,
-            context_view=["msg_a", "msg_b"],
-            requirements=reqs,
-            model_options={"temperature": 0.2},
-            format=_SENTINEL_FORMAT,
-            strategy=_SENTINEL_STRATEGY,
-            tool_calls_enabled=True,
-            request_id="r-exec-001",
-        )
-        assert payload.component_type == "Extractor"
-        assert payload.action is _SENTINEL_ACTION
-        assert payload.context_view == ["msg_a", "msg_b"]
-        assert len(payload.requirements) == 2
-        assert payload.model_options == {"temperature": 0.2}
-        assert payload.format is _SENTINEL_FORMAT
-        assert payload.strategy is _SENTINEL_STRATEGY
-        assert payload.tool_calls_enabled is True
-
-    def test_frozen(self):
-        payload = ComponentPreExecutePayload(tool_calls_enabled=False)
-        with pytest.raises(ValidationError):
-            payload.tool_calls_enabled = True
-
-    def test_frozen_model_options(self):
-        payload = ComponentPreExecutePayload(model_options={"temperature": 0.5})
-        with pytest.raises(ValidationError):
-            payload.model_options = {}
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ComponentPreExecutePayload(
-            component_type="Extractor",
-            model_options={"temperature": 0.5},
-            tool_calls_enabled=False,
-        )
-        modified = payload.model_copy(
-            update={"model_options": {"temperature": 0.9}, "tool_calls_enabled": True}
-        )
-        assert modified.model_options == {"temperature": 0.9}
-        assert modified.tool_calls_enabled is True
-        assert payload.model_options == {"temperature": 0.5}
-        assert payload.tool_calls_enabled is False
-        assert modified.component_type == "Extractor"
-
-    def test_context_view_none_vs_empty(self):
-        payload_none = ComponentPreExecutePayload(context_view=None)
-        payload_list = ComponentPreExecutePayload(context_view=[])
-        assert payload_none.context_view is None
-        assert payload_list.context_view == []
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ComponentPreExecutePayload, MelleaBasePayload)
-
-
-class TestComponentPostSuccessPayload:
-    def test_defaults(self):
-        payload = ComponentPostSuccessPayload()
-        assert payload.component_type == ""
-        assert payload.action is None
-        assert payload.result is None
-        assert payload.context_before is None
-        assert payload.context_after is None
-        assert payload.generate_log is None
-        assert payload.sampling_results is None
-        assert payload.latency_ms == 0
-
-    def test_construction_with_values(self):
-        sampling = [object(), object()]
-        payload = ComponentPostSuccessPayload(
-            component_type="Instruction",
-            action=_SENTINEL_ACTION,
-            result=_SENTINEL_RESULT,
-            context_before=_SENTINEL_CONTEXT,
-            context_after=_SENTINEL_CONTEXT,
-            generate_log=_SENTINEL_GENERATE_LOG,
-            sampling_results=sampling,
-            latency_ms=250,
-            request_id="r-success-001",
-        )
-        assert payload.component_type == "Instruction"
-        assert payload.result is _SENTINEL_RESULT
-        assert payload.latency_ms == 250
-        assert (
-            payload.sampling_results is not None and len(payload.sampling_results) == 2
-        )
-
-    def test_frozen(self):
-        payload = ComponentPostSuccessPayload(latency_ms=100)
-        with pytest.raises(ValidationError):
-            payload.latency_ms = 200
-
-    def test_frozen_component_type(self):
-        payload = ComponentPostSuccessPayload(component_type="Instruction")
-        with pytest.raises(ValidationError):
-            payload.component_type = "Extractor"
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ComponentPostSuccessPayload(
-            component_type="Instruction", latency_ms=100
-        )
-        modified = payload.model_copy(update={"latency_ms": 999})
-        assert modified.latency_ms == 999
-        assert payload.latency_ms == 100
-        assert modified.component_type == "Instruction"
-
-    def test_sampling_results_none_vs_list(self):
-        payload_none = ComponentPostSuccessPayload(sampling_results=None)
-        payload_list = ComponentPostSuccessPayload(sampling_results=[object()])
-        assert payload_none.sampling_results is None
-        assert (
-            payload_list.sampling_results is not None
-            and len(payload_list.sampling_results) == 1
-        )
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ComponentPostSuccessPayload, MelleaBasePayload)
-
-
-class TestComponentPostErrorPayload:
-    def test_defaults(self):
-        payload = ComponentPostErrorPayload()
-        assert payload.component_type == ""
-        assert payload.action is None
-        assert payload.error is None
-        assert payload.error_type == ""
-        assert payload.stack_trace == ""
-        assert payload.context is None
-        assert payload.model_options == {}
-
-    def test_construction_with_values(self):
-        payload = ComponentPostErrorPayload(
-            component_type="Extractor",
-            action=_SENTINEL_ACTION,
-            error=_SENTINEL_ERROR,
-            error_type="RuntimeError",
-            stack_trace="Traceback ...",
-            context=_SENTINEL_CONTEXT,
-            model_options={"temperature": 0.0},
-            request_id="r-err-001",
-        )
-        assert payload.component_type == "Extractor"
-        assert payload.error is _SENTINEL_ERROR
-        assert payload.error_type == "RuntimeError"
-        assert payload.stack_trace == "Traceback ..."
-        assert payload.model_options == {"temperature": 0.0}
-
-    def test_frozen(self):
-        payload = ComponentPostErrorPayload(error_type="ValueError")
-        with pytest.raises(ValidationError):
-            payload.error_type = "RuntimeError"
-
-    def test_frozen_stack_trace(self):
-        payload = ComponentPostErrorPayload(stack_trace="trace line 1")
-        with pytest.raises(ValidationError):
-            payload.stack_trace = "new trace"
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ComponentPostErrorPayload(
-            component_type="Extractor",
-            error_type="ValueError",
-            stack_trace="original trace",
-        )
-        modified = payload.model_copy(
-            update={"error_type": "RuntimeError", "stack_trace": "new trace"}
-        )
-        assert modified.error_type == "RuntimeError"
-        assert modified.stack_trace == "new trace"
-        assert payload.error_type == "ValueError"
-        assert payload.stack_trace == "original trace"
-        assert modified.component_type == "Extractor"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ComponentPostErrorPayload, MelleaBasePayload)
-
-
-# ===========================================================================
-# Generation payloads
-# ===========================================================================
-
-
-class TestGenerationPostCallPayload:
-    def test_defaults(self):
-        payload = GenerationPostCallPayload()
-        assert payload.prompt == ""
-        assert payload.model_output is None
-        assert payload.latency_ms == 0
-
-    def test_construction_with_string_prompt(self):
-        payload = GenerationPostCallPayload(
-            prompt="What is the capital of France?",
-            model_output=_SENTINEL_RESULT,
-            latency_ms=312,
-            request_id="r-gen-001",
-        )
-        assert payload.prompt == "What is the capital of France?"
-        assert payload.latency_ms == 312
-
-    def test_construction_with_list_prompt(self):
-        messages = [{"role": "user", "content": "Hello"}]
-        payload = GenerationPostCallPayload(prompt=messages)
-        assert payload.prompt == messages
-
-    def test_frozen_latency(self):
-        payload = GenerationPostCallPayload(latency_ms=100)
-        with pytest.raises(ValidationError):
-            payload.latency_ms = 200
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = GenerationPostCallPayload(prompt="original prompt", latency_ms=100)
-        modified = payload.model_copy(update={"latency_ms": 500})
-        assert modified.latency_ms == 500
-        assert payload.latency_ms == 100
-        assert modified.prompt == "original prompt"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(GenerationPostCallPayload, MelleaBasePayload)
-
-
-# ===========================================================================
-# Validation payloads
-# ===========================================================================
-
-
-class TestValidationPreCheckPayload:
-    def test_defaults(self):
-        payload = ValidationPreCheckPayload()
-        assert payload.requirements == []
-        assert payload.target is None
-        assert payload.context is None
-        assert payload.model_options == {}
-
-    def test_construction_with_values(self):
-        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
-        payload = ValidationPreCheckPayload(
-            requirements=reqs,
-            target=_SENTINEL_ACTION,
-            context=_SENTINEL_CONTEXT,
-            model_options={"temperature": 0.0},
-            request_id="r-val-001",
-        )
-        assert len(payload.requirements) == 2
-        assert payload.target is _SENTINEL_ACTION
-        assert payload.context is _SENTINEL_CONTEXT
-        assert payload.model_options == {"temperature": 0.0}
-
-    def test_frozen(self):
-        payload = ValidationPreCheckPayload(requirements=[_SENTINEL_REQUIREMENT])
-        with pytest.raises(ValidationError):
-            payload.requirements = []
-
-    def test_frozen_model_options(self):
-        payload = ValidationPreCheckPayload(model_options={"temperature": 0.5})
-        with pytest.raises(ValidationError):
-            payload.model_options = {}
-
-    def test_model_copy_creates_modified_copy(self):
-        reqs = [_SENTINEL_REQUIREMENT]
-        payload = ValidationPreCheckPayload(
-            requirements=reqs, context=_SENTINEL_CONTEXT
-        )
-        new_reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
-        modified = payload.model_copy(update={"requirements": new_reqs})
-        assert len(modified.requirements) == 2
-        assert len(payload.requirements) == 1
-        assert modified.context is _SENTINEL_CONTEXT
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ValidationPreCheckPayload, MelleaBasePayload)
-        payload = ValidationPreCheckPayload(
-            session_id="s-val", user_metadata={"phase": "pre"}
-        )
-        assert payload.session_id == "s-val"
-        assert payload.user_metadata == {"phase": "pre"}
-
-
-class TestValidationPostCheckPayload:
-    def test_defaults(self):
-        payload = ValidationPostCheckPayload()
-        assert payload.requirements == []
-        assert payload.results == []
-        assert payload.all_validations_passed is False
-        assert payload.passed_count == 0
-        assert payload.failed_count == 0
-
-    def test_construction_with_values(self):
-        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
-        results = [_SENTINEL_VALIDATION_RESULT, _SENTINEL_VALIDATION_RESULT]
-        payload = ValidationPostCheckPayload(
-            requirements=reqs,
-            results=results,
-            all_validations_passed=True,
-            passed_count=2,
-            failed_count=0,
-            request_id="r-val-post-001",
-        )
-        assert len(payload.requirements) == 2
-        assert len(payload.results) == 2
-        assert payload.all_validations_passed is True
-        assert payload.passed_count == 2
-        assert payload.failed_count == 0
-
-    def test_partial_pass(self):
-        payload = ValidationPostCheckPayload(
-            passed_count=1, failed_count=1, all_validations_passed=False
-        )
-        assert payload.all_validations_passed is False
-        assert payload.passed_count == 1
-        assert payload.failed_count == 1
-
-    def test_frozen(self):
-        payload = ValidationPostCheckPayload(all_validations_passed=False)
-        with pytest.raises(ValidationError):
-            payload.all_validations_passed = True
-
-    def test_frozen_counts(self):
-        payload = ValidationPostCheckPayload(passed_count=2, failed_count=0)
-        with pytest.raises(ValidationError):
-            payload.passed_count = 3
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ValidationPostCheckPayload(
-            passed_count=1, failed_count=2, all_validations_passed=False
-        )
-        modified = payload.model_copy(
-            update={
-                "passed_count": 3,
-                "failed_count": 0,
-                "all_validations_passed": True,
-            }
-        )
-        assert modified.passed_count == 3
-        assert modified.failed_count == 0
-        assert modified.all_validations_passed is True
-        assert payload.passed_count == 1
-        assert payload.failed_count == 2
-        assert payload.all_validations_passed is False
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ValidationPostCheckPayload, MelleaBasePayload)
-
-
-# ===========================================================================
-# Sampling payloads
-# ===========================================================================
-
-
-class TestSamplingLoopStartPayload:
-    def test_defaults(self):
-        payload = SamplingLoopStartPayload()
-        assert payload.strategy_name == ""
-        assert payload.action is None
-        assert payload.context is None
-        assert payload.requirements == []
-        assert payload.loop_budget == 0
-
-    def test_construction_with_values(self):
-        reqs = [_SENTINEL_REQUIREMENT]
-        payload = SamplingLoopStartPayload(
-            strategy_name="BestOfN",
-            action=_SENTINEL_ACTION,
-            context=_SENTINEL_CONTEXT,
-            requirements=reqs,
-            loop_budget=5,
-            request_id="r-samp-001",
-        )
-        assert payload.strategy_name == "BestOfN"
-        assert payload.action is _SENTINEL_ACTION
-        assert payload.context is _SENTINEL_CONTEXT
-        assert len(payload.requirements) == 1
-        assert payload.loop_budget == 5
-
-    def test_frozen(self):
-        payload = SamplingLoopStartPayload(strategy_name="BestOfN", loop_budget=5)
-        with pytest.raises(ValidationError):
-            payload.loop_budget = 10
-
-    def test_frozen_strategy_name(self):
-        payload = SamplingLoopStartPayload(strategy_name="BestOfN")
-        with pytest.raises(ValidationError):
-            payload.strategy_name = "Retry"
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SamplingLoopStartPayload(
-            strategy_name="BestOfN", loop_budget=3, context=_SENTINEL_CONTEXT
-        )
-        modified = payload.model_copy(update={"loop_budget": 10})
-        assert modified.loop_budget == 10
-        assert payload.loop_budget == 3
-        assert modified.strategy_name == "BestOfN"
-        assert modified.context is _SENTINEL_CONTEXT
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SamplingLoopStartPayload, MelleaBasePayload)
-
-
-class TestSamplingIterationPayload:
-    def test_defaults(self):
-        payload = SamplingIterationPayload()
-        assert payload.iteration == 0
-        assert payload.action is None
-        assert payload.result is None
-        assert payload.validation_results == []
-        assert payload.all_validations_passed is False
-        assert payload.valid_count == 0
-        assert payload.total_count == 0
-
-    def test_construction_with_values(self):
-        val_results = [
-            (_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT),
-            (_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT),
-        ]
-        payload = SamplingIterationPayload(
-            iteration=2,
-            action=_SENTINEL_ACTION,
-            result=_SENTINEL_RESULT,
-            validation_results=val_results,
-            all_validations_passed=True,
-            valid_count=2,
-            total_count=2,
-            request_id="r-iter-001",
-        )
-        assert payload.iteration == 2
-        assert payload.action is _SENTINEL_ACTION
-        assert payload.result is _SENTINEL_RESULT
-        assert len(payload.validation_results) == 2
-        assert payload.all_validations_passed is True
-        assert payload.valid_count == 2
-        assert payload.total_count == 2
-
-    def test_partial_validity(self):
-        val_results = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
-        payload = SamplingIterationPayload(
-            iteration=1,
-            validation_results=val_results,
-            all_validations_passed=False,
-            valid_count=0,
-            total_count=1,
-        )
-        assert payload.all_validations_passed is False
-        assert payload.valid_count == 0
-
-    def test_frozen(self):
-        payload = SamplingIterationPayload(iteration=1)
-        with pytest.raises(ValidationError):
-            payload.iteration = 2
-
-    def test_frozen_all_validations_passed(self):
-        payload = SamplingIterationPayload(all_validations_passed=False)
-        with pytest.raises(ValidationError):
-            payload.all_validations_passed = True
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SamplingIterationPayload(
-            iteration=0, valid_count=0, total_count=2, all_validations_passed=False
-        )
-        modified = payload.model_copy(
-            update={"iteration": 1, "valid_count": 2, "all_validations_passed": True}
-        )
-        assert modified.iteration == 1
-        assert modified.valid_count == 2
-        assert modified.all_validations_passed is True
-        assert payload.iteration == 0
-        assert payload.valid_count == 0
-        assert payload.all_validations_passed is False
-        assert modified.total_count == 2
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SamplingIterationPayload, MelleaBasePayload)
-
-
-class TestSamplingRepairPayload:
-    def test_defaults(self):
-        payload = SamplingRepairPayload()
-        assert payload.repair_type == ""
-        assert payload.failed_action is None
-        assert payload.failed_result is None
-        assert payload.failed_validations == []
-        assert payload.repair_action is None
-        assert payload.repair_context is None
-        assert payload.repair_iteration == 0
-
-    def test_construction_with_values(self):
-        failed_vals = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
-        payload = SamplingRepairPayload(
-            repair_type="prompt_repair",
-            failed_action=_SENTINEL_ACTION,
-            failed_result=_SENTINEL_RESULT,
-            failed_validations=failed_vals,
-            repair_action=_SENTINEL_ACTION,
-            repair_context=_SENTINEL_CONTEXT,
-            repair_iteration=1,
-            request_id="r-repair-001",
-        )
-        assert payload.repair_type == "prompt_repair"
-        assert payload.failed_action is _SENTINEL_ACTION
-        assert payload.failed_result is _SENTINEL_RESULT
-        assert len(payload.failed_validations) == 1
-        assert payload.repair_action is _SENTINEL_ACTION
-        assert payload.repair_context is _SENTINEL_CONTEXT
-        assert payload.repair_iteration == 1
-
-    def test_frozen(self):
-        payload = SamplingRepairPayload(repair_type="prompt_repair")
-        with pytest.raises(ValidationError):
-            payload.repair_type = "context_repair"
-
-    def test_frozen_repair_iteration(self):
-        payload = SamplingRepairPayload(repair_iteration=1)
-        with pytest.raises(ValidationError):
-            payload.repair_iteration = 2
-
-    def test_model_copy_creates_modified_copy(self):
-        failed_vals = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
-        payload = SamplingRepairPayload(
-            repair_type="prompt_repair",
-            repair_iteration=0,
-            failed_validations=failed_vals,
-        )
-        new_ctx = object()
-        modified = payload.model_copy(
-            update={"repair_iteration": 2, "repair_context": new_ctx}
-        )
-        assert modified.repair_iteration == 2
-        assert modified.repair_context is new_ctx
-        assert payload.repair_iteration == 0
-        assert payload.repair_context is None
-        assert modified.repair_type == "prompt_repair"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SamplingRepairPayload, MelleaBasePayload)
-        payload = SamplingRepairPayload(user_metadata={"repair": True})
-        assert payload.user_metadata == {"repair": True}
-
-
-class TestSamplingLoopEndPayload:
-    def test_defaults(self):
-        payload = SamplingLoopEndPayload()
-        assert payload.success is False
-        assert payload.iterations_used == 0
-        assert payload.final_result is None
-        assert payload.final_action is None
-        assert payload.final_context is None
-        assert payload.failure_reason is None
-        assert payload.all_results == []
-        assert payload.all_validations == []
-
-    def test_construction_successful(self):
-        all_results = [_SENTINEL_RESULT, _SENTINEL_RESULT]
-        all_validations = [
-            [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)],
-            [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)],
-        ]
-        payload = SamplingLoopEndPayload(
-            success=True,
-            iterations_used=2,
-            final_result=_SENTINEL_RESULT,
-            final_action=_SENTINEL_ACTION,
-            final_context=_SENTINEL_CONTEXT,
-            failure_reason=None,
-            all_results=all_results,
-            all_validations=all_validations,
-            request_id="r-end-001",
-        )
-        assert payload.success is True
-        assert payload.iterations_used == 2
-        assert payload.final_result is _SENTINEL_RESULT
-        assert payload.failure_reason is None
-        assert len(payload.all_results) == 2
-        assert len(payload.all_validations) == 2
-
-    def test_construction_failed(self):
-        payload = SamplingLoopEndPayload(
-            success=False, iterations_used=5, failure_reason="max_iterations_exceeded"
-        )
-        assert payload.success is False
-        assert payload.failure_reason == "max_iterations_exceeded"
-        assert payload.final_result is None
-
-    def test_frozen(self):
-        payload = SamplingLoopEndPayload(success=False)
-        with pytest.raises(ValidationError):
-            payload.success = True
-
-    def test_frozen_iterations(self):
-        payload = SamplingLoopEndPayload(iterations_used=3)
-        with pytest.raises(ValidationError):
-            payload.iterations_used = 5
-
-    def test_frozen_failure_reason(self):
-        payload = SamplingLoopEndPayload(failure_reason="budget_exhausted")
-        with pytest.raises(ValidationError):
-            payload.failure_reason = None
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SamplingLoopEndPayload(
-            success=False, iterations_used=5, failure_reason="budget_exhausted"
-        )
-        modified = payload.model_copy(
-            update={
-                "success": True,
-                "iterations_used": 3,
-                "failure_reason": None,
-                "final_result": _SENTINEL_RESULT,
-            }
-        )
-        assert modified.success is True
-        assert modified.iterations_used == 3
-        assert modified.failure_reason is None
-        assert modified.final_result is _SENTINEL_RESULT
-        assert payload.success is False
-        assert payload.iterations_used == 5
-        assert payload.failure_reason == "budget_exhausted"
-
-    def test_failure_reason_none_vs_string(self):
-        payload_none = SamplingLoopEndPayload(failure_reason=None)
-        payload_str = SamplingLoopEndPayload(failure_reason="budget_exceeded")
-        assert payload_none.failure_reason is None
-        assert payload_str.failure_reason == "budget_exceeded"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SamplingLoopEndPayload, MelleaBasePayload)
-
-
-# ===========================================================================
-# Tool payloads
-# ===========================================================================
-
-
-class TestToolPreInvokePayload:
-    def test_defaults(self):
-        payload = ToolPreInvokePayload()
-        assert payload.model_tool_call is None
-
-    def test_construction_with_values(self):
-        payload = ToolPreInvokePayload(
-            model_tool_call=_SENTINEL_TOOL_CALL,
-            request_id="r-tool-001",
-            hook="tool_pre_invoke",
-        )
-        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
-        assert payload.hook == "tool_pre_invoke"
-
-    def test_frozen(self):
-        payload = ToolPreInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
-        with pytest.raises(ValidationError):
-            payload.model_tool_call = None
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ToolPreInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
-        replacement = object()
-        modified = payload.model_copy(update={"model_tool_call": replacement})
-        assert modified.model_tool_call is replacement
-        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ToolPreInvokePayload, MelleaBasePayload)
-        payload = ToolPreInvokePayload(
-            session_id="s-tool", user_metadata={"source": "unit_test"}
-        )
-        assert payload.session_id == "s-tool"
-        assert payload.user_metadata == {"source": "unit_test"}
-
-
-class TestToolPostInvokePayload:
-    def test_defaults(self):
-        payload = ToolPostInvokePayload()
-        assert payload.model_tool_call is None
-        assert payload.tool_output is None
-        assert payload.tool_message is None
-        assert payload.execution_time_ms == 0
-        assert payload.success is True
-        assert payload.error is None
-
-    def test_construction_successful(self):
-        payload = ToolPostInvokePayload(
-            model_tool_call=_SENTINEL_TOOL_CALL,
-            tool_output={"results": ["Paris is the capital of France"]},
-            tool_message=_SENTINEL_TOOL_MESSAGE,
-            execution_time_ms=87,
-            success=True,
-            error=None,
-            request_id="r-tool-post-001",
-        )
-        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
-        assert payload.tool_output == {"results": ["Paris is the capital of France"]}
-        assert payload.tool_message is _SENTINEL_TOOL_MESSAGE
-        assert payload.execution_time_ms == 87
-        assert payload.success is True
-        assert payload.error is None
-
-    def test_construction_failed(self):
-        payload = ToolPostInvokePayload(
-            model_tool_call=_SENTINEL_TOOL_CALL,
-            success=False,
-            error=_SENTINEL_ERROR,
-            execution_time_ms=12,
-        )
-        assert payload.success is False
-        assert payload.error is _SENTINEL_ERROR
-        assert payload.tool_output is None
-
-    def test_frozen(self):
-        payload = ToolPostInvokePayload(success=True)
-        with pytest.raises(ValidationError):
-            payload.success = False
-
-    def test_frozen_model_tool_call(self):
-        payload = ToolPostInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
-        with pytest.raises(ValidationError):
-            payload.model_tool_call = None
-
-    def test_frozen_execution_time(self):
-        payload = ToolPostInvokePayload(execution_time_ms=50)
-        with pytest.raises(ValidationError):
-            payload.execution_time_ms = 100
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ToolPostInvokePayload(
-            model_tool_call=_SENTINEL_TOOL_CALL,
-            success=False,
-            error=_SENTINEL_ERROR,
-            execution_time_ms=10,
-        )
-        modified = payload.model_copy(
-            update={"success": True, "error": None, "execution_time_ms": 75}
-        )
-        assert modified.success is True
-        assert modified.error is None
-        assert modified.execution_time_ms == 75
-        assert payload.success is False
-        assert payload.error is _SENTINEL_ERROR
-        assert payload.execution_time_ms == 10
-        assert modified.model_tool_call is _SENTINEL_TOOL_CALL
-
-    def test_tool_output_various_types(self):
-        payload_str = ToolPostInvokePayload(tool_output="plain string result")
-        payload_dict = ToolPostInvokePayload(tool_output={"key": "value"})
-        payload_list = ToolPostInvokePayload(tool_output=[1, 2, 3])
-        assert payload_str.tool_output == "plain string result"
-        assert payload_dict.tool_output == {"key": "value"}
-        assert payload_list.tool_output == [1, 2, 3]
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ToolPostInvokePayload, MelleaBasePayload)
-        payload = ToolPostInvokePayload(
-            session_id="s-tool-post",
-            hook="tool_post_invoke",
-            user_metadata={"retry": False},
-        )
-        assert payload.session_id == "s-tool-post"
-        assert payload.hook == "tool_post_invoke"
-        assert payload.user_metadata == {"retry": False}
diff --git a/test/plugins/test_blocking.py b/test/plugins/test_blocking.py
deleted file mode 100644
index 9920e890b..000000000
--- a/test/plugins/test_blocking.py
+++ /dev/null
@@ -1,273 +0,0 @@
-"""Tests for blocking behavior and PluginViolationError.
-
-Covers:
-- ``block()`` helper: return shape and field population
-- ``invoke_hook`` raising ``PluginViolationError`` when a plugin blocks (default behavior)
-- Calling the underlying ``PluginManager.invoke_hook`` with ``violations_as_exceptions=False``
-  to inspect the raw result without raising
-- Priority ordering: a blocking plugin at priority=1 stops downstream plugins at priority=100
-"""
-
-from __future__ import annotations
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import PluginMode, block, hook, modify, register
-from mellea.plugins.base import PluginViolationError
-from mellea.plugins.context import build_global_context
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import ensure_plugin_manager, invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def _payload(**kwargs) -> SessionPreInitPayload:
-    defaults: dict = dict(backend_name="test-backend", model_id="test-model")
-    defaults.update(kwargs)
-    return SessionPreInitPayload(**defaults)
-
-
-async def _invoke_no_raise(payload: SessionPreInitPayload):
-    """Call the underlying ContextForge PluginManager directly with violations_as_exceptions=False.
-
-    Mellea's ``invoke_hook`` wrapper always raises ``PluginViolationError`` on a block.
-    To observe the raw ``PluginResult`` without raising, we bypass the wrapper and call
-    ``PluginManager.invoke_hook`` directly.
-    """
-    pm = ensure_plugin_manager()
-    ctx = build_global_context()
-    # Stamp the hook field the same way Mellea's wrapper would
-    stamped = payload.model_copy(update={"hook": HookType.SESSION_PRE_INIT.value})
-    result, _ = await pm.invoke_hook(
-        hook_type=HookType.SESSION_PRE_INIT.value,
-        payload=stamped,
-        global_context=ctx,
-        violations_as_exceptions=False,
-    )
-    return result
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    """Shut down and reset the plugin manager after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# TestBlockHelper
-# ---------------------------------------------------------------------------
-
-
-class TestBlockHelper:
-    """Unit tests for the ``block()`` convenience helper."""
-
-    def test_block_basic_returns_non_continue_plugin_result(self) -> None:
-        result = block("something went wrong")
-
-        assert result.continue_processing is False
-        assert result.violation is not None
-        assert result.violation.reason == "something went wrong"
-
-    def test_block_with_all_args_populates_violation_fields(self) -> None:
-        extra = {"limit": 100, "used": 150}
-        result = block(
-            "Budget exceeded",
-            code="BUDGET_001",
-            description="The token budget for this request was exceeded.",
-            details=extra,
-        )
-
-        assert result.continue_processing is False
-        v = result.violation
-        assert v.reason == "Budget exceeded"
-        assert v.code == "BUDGET_001"
-        assert v.description == "The token budget for this request was exceeded."
-        assert v.details == extra
-
-    def test_block_without_code_defaults_to_empty_string(self) -> None:
-        result = block("No code provided")
-
-        assert result.violation.code == ""
-
-
-# ---------------------------------------------------------------------------
-# TestModifyHelper
-# ---------------------------------------------------------------------------
-
-
-class TestModifyHelper:
-    """Unit tests for the ``modify()`` convenience helper."""
-
-    def test_modify_returns_continue_processing_true(self) -> None:
-        payload = _payload()
-        result = modify(payload, backend_name="new-backend")
-
-        assert result.continue_processing is True
-
-    def test_modify_produces_modified_payload(self) -> None:
-        payload = _payload(backend_name="original")
-        result = modify(payload, backend_name="updated")
-
-        assert result.modified_payload is not None
-        assert result.modified_payload.backend_name == "updated"
-
-    def test_modify_does_not_mutate_original_payload(self) -> None:
-        payload = _payload(backend_name="original")
-        modify(payload, backend_name="updated")
-
-        assert payload.backend_name == "original"
-
-    def test_modify_preserves_unmodified_fields(self) -> None:
-        payload = _payload(backend_name="original", model_id="gpt-4")
-        result = modify(payload, backend_name="updated")
-
-        assert result.modified_payload.model_id == "gpt-4"
-
-    def test_modify_multiple_fields(self) -> None:
-        payload = _payload(backend_name="original", model_id="gpt-4")
-        result = modify(payload, backend_name="updated", model_id="gpt-4o")
-
-        assert result.modified_payload.backend_name == "updated"
-        assert result.modified_payload.model_id == "gpt-4o"
-
-    def test_modify_has_no_violation(self) -> None:
-        payload = _payload()
-        result = modify(payload, backend_name="new-backend")
-
-        assert result.violation is None
-
-    async def test_modify_returned_from_hook_updates_payload_seen_by_invoke_hook(
-        self,
-    ) -> None:
-        """A hook returning modify() causes invoke_hook to return the modified payload."""
-
-        @hook("session_pre_init")
-        async def swapper(payload, ctx):
-            return modify(payload, model_id="swapped")
-
-        register(swapper)
-        _, returned_payload = await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert returned_payload.model_id == "swapped"
-
-
-# ---------------------------------------------------------------------------
-# TestViolationError
-# ---------------------------------------------------------------------------
-
-
-class TestViolationError:
-    """Tests for PluginViolationError raised by Mellea's invoke_hook when a plugin blocks."""
-
-    async def test_blocking_plugin_raises_plugin_violation_error_by_default(
-        self,
-    ) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("Access denied", code="AUTH_001")
-
-        register(blocking_plugin)
-
-        with pytest.raises(PluginViolationError):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-    async def test_violation_error_hook_type_matches_hook(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("blocked")
-
-        register(blocking_plugin)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert exc_info.value.hook_type == HookType.SESSION_PRE_INIT.value
-
-    async def test_violation_error_reason_matches_block_reason(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("rate limit exceeded", code="RATE_001")
-
-        register(blocking_plugin)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert exc_info.value.reason == "rate limit exceeded"
-
-    async def test_violation_error_str_contains_hook_type_and_reason(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("forbidden content detected")
-
-        register(blocking_plugin)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        error_str = str(exc_info.value)
-        assert HookType.SESSION_PRE_INIT.value in error_str
-        assert "forbidden content detected" in error_str
-
-    async def test_violations_as_exceptions_false_returns_result_without_raising(
-        self,
-    ) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("blocked without raise", code="NO_RAISE_001")
-
-        register(blocking_plugin)
-
-        # Using the raw PluginManager call with violations_as_exceptions=False
-        result = await _invoke_no_raise(_payload())
-
-        assert result is not None
-        assert result.continue_processing is False
-        assert result.violation is not None
-        assert result.violation.reason == "blocked without raise"
-
-
-# ---------------------------------------------------------------------------
-# TestBlockingPreventsDownstreamPlugins
-# ---------------------------------------------------------------------------
-
-
-class TestBlockingPreventsDownstreamPlugins:
-    """A SEQUENTIAL blocking plugin yields continue_processing=False.
-
-    Note: cpex runs SEQUENTIAL plugins serially, so a blocking plugin at
-    lower priority stops downstream plugins from executing.  The blocking
-    result is detected and returned as continue_processing=False.
-    """
-
-    async def test_enforce_blocker_yields_false_continue_processing(self) -> None:
-        downstream_fired: list[bool] = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def early_blocker(payload, ctx):
-            return block("blocked early", code="EARLY_BLOCK")
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def late_recorder(payload, ctx):
-            downstream_fired.append(True)
-            return None
-
-        register(early_blocker)
-        register(late_recorder)
-
-        # Use violations_as_exceptions=False so we can inspect the result
-        result = await _invoke_no_raise(_payload())
-
-        # The block is detected and surfaced even though plugins ran in parallel
-        assert result.continue_processing is False
diff --git a/test/plugins/test_build_global_context.py b/test/plugins/test_build_global_context.py
deleted file mode 100644
index a1af9f589..000000000
--- a/test/plugins/test_build_global_context.py
+++ /dev/null
@@ -1,68 +0,0 @@
-"""Tests for build_global_context() — the factory that maps Mellea domain objects
-to ContextForge's GlobalContext.state.
-"""
-
-from __future__ import annotations
-
-from unittest.mock import MagicMock
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins.context import build_global_context
-
-
-class TestBuildGlobalContext:
-    """build_global_context() correctly maps Mellea domain objects to state."""
-
-    def test_backend_name_derived_from_model_id(self):
-        """state['backend_name'] is set from backend.model_id."""
-        mock_backend = MagicMock()
-        mock_backend.model_id = "ibm/granite-7b-instruct"
-
-        ctx = build_global_context(backend=mock_backend)
-        assert ctx.state["backend_name"] == "ibm/granite-7b-instruct"
-
-    def test_backend_name_fallback_when_no_model_id(self):
-        """state['backend_name'] falls back to 'unknown' if model_id is missing."""
-        mock_backend = MagicMock(spec=[])  # no model_id attribute
-
-        ctx = build_global_context(backend=mock_backend)
-        assert ctx.state["backend_name"] == "unknown"
-
-    def test_backend_object_not_in_state(self):
-        """The full backend object should NOT be stored in state."""
-        mock_backend = MagicMock()
-        mock_backend.model_id = "test-model"
-
-        ctx = build_global_context(backend=mock_backend)
-        assert "backend" not in ctx.state
-        assert ctx.state["backend_name"] == "test-model"
-
-    def test_backend_name_absent_when_not_provided(self):
-        """'backend_name' key is absent when backend=None."""
-        ctx = build_global_context()
-        assert "backend_name" not in ctx.state
-
-    def test_extra_fields_passed_through(self):
-        """Extra keyword arguments are included in state."""
-        ctx = build_global_context(
-            strategy_name="RejectionSampling", remaining_budget=3
-        )
-        assert ctx.state["strategy_name"] == "RejectionSampling"
-        assert ctx.state["remaining_budget"] == 3
-
-    def test_empty_call_returns_context(self):
-        """build_global_context() with no args returns a valid GlobalContext."""
-        ctx = build_global_context()
-        assert ctx is not None
-        assert isinstance(ctx.state, dict)
-
-    def test_extra_fields_do_not_override_reserved_keys(self):
-        """Extra fields with the same key as a domain object overwrite it (last-write wins)."""
-        mock_backend = MagicMock()
-        mock_backend.model_id = "test"
-        ctx = build_global_context(backend=mock_backend, backend_name="overridden")
-        # extra_fields are applied after backend_name is set, so they win
-        assert ctx.state["backend_name"] == "overridden"
diff --git a/test/plugins/test_decorators.py b/test/plugins/test_decorators.py
deleted file mode 100644
index 51ad5d2d7..000000000
--- a/test/plugins/test_decorators.py
+++ /dev/null
@@ -1,86 +0,0 @@
-"""Tests for the @hook decorator and Plugin base class."""
-
-from mellea.plugins.base import Plugin, PluginMeta
-from mellea.plugins.decorators import HookMeta, hook
-from mellea.plugins.types import PluginMode
-
-
-class TestHookDecorator:
-    def test_hook_attaches_metadata(self):
-        @hook("generation_pre_call")
-        async def my_hook(payload, ctx):
-            pass
-
-        assert hasattr(my_hook, "_mellea_hook_meta")
-        meta = my_hook._mellea_hook_meta
-        assert isinstance(meta, HookMeta)
-        assert meta.hook_type == "generation_pre_call"
-        assert meta.mode == PluginMode.SEQUENTIAL
-        assert (
-            meta.priority is None
-        )  # no explicit priority; resolves at registration time
-
-    def test_hook_custom_mode_and_priority(self):
-        @hook("component_post_success", mode=PluginMode.AUDIT, priority=10)
-        async def my_hook(payload, ctx):
-            pass
-
-        meta = my_hook._mellea_hook_meta
-        assert meta.mode == PluginMode.AUDIT
-        assert meta.priority == 10
-
-    def test_hook_fire_and_forget_mode(self):
-        @hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
-        async def my_hook(payload, ctx):
-            pass
-
-        meta = my_hook._mellea_hook_meta
-        assert meta.mode == PluginMode.FIRE_AND_FORGET
-
-    def test_hook_preserves_function(self):
-        @hook("generation_pre_call")
-        async def my_hook(payload, ctx):
-            return "result"
-
-        assert my_hook.__name__ == "my_hook"
-
-
-class TestPluginBaseClass:
-    def test_plugin_attaches_metadata(self):
-        class MyPlugin(Plugin, name="my-plugin"):
-            pass
-
-        assert hasattr(MyPlugin, "_mellea_plugin_meta")
-        meta = MyPlugin._mellea_plugin_meta
-        assert isinstance(meta, PluginMeta)
-        assert meta.name == "my-plugin"
-        assert meta.priority == 50
-
-    def test_plugin_custom_priority(self):
-        class MyPlugin(Plugin, name="my-plugin", priority=5):
-            pass
-
-        assert MyPlugin._mellea_plugin_meta.priority == 5  # type: ignore[attr-defined]
-
-    def test_plugin_preserves_class(self):
-        class MyPlugin(Plugin, name="my-plugin"):
-            def __init__(self):
-                self.value = 42
-
-        instance = MyPlugin()
-        assert instance.value == 42
-
-    def test_plugin_has_context_manager(self):
-        class MyPlugin(Plugin, name="my-plugin"):
-            pass
-
-        assert hasattr(MyPlugin, "__enter__")
-        assert hasattr(MyPlugin, "__exit__")
-        assert hasattr(MyPlugin, "__aenter__")
-        assert hasattr(MyPlugin, "__aexit__")
-
-    def test_plugin_without_name_skips_metadata(self):
-        class MyBase(Plugin):
-            pass
-
-        assert not hasattr(MyBase, "_mellea_plugin_meta")
diff --git a/test/plugins/test_execution_modes.py b/test/plugins/test_execution_modes.py
deleted file mode 100644
index 5a60676ab..000000000
--- a/test/plugins/test_execution_modes.py
+++ /dev/null
@@ -1,644 +0,0 @@
-"""Tests for hook execution modes.
-
-Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
-
-behavior summary
------------------
-- ``mode=SEQUENTIAL`` (default): serial, chained. Can block and modify payloads.
-
-- ``mode=TRANSFORM``: serial, chained. Can modify payloads but cannot block — blocking
-  results are suppressed.
-
-- ``mode=AUDIT``: serial, observe-only. Cannot block or modify — violations are logged
-  and payload modifications are discarded.
-
-- ``mode=CONCURRENT``: parallel, fail-fast. Can block but cannot modify — payload
-  modifications are discarded to avoid non-deterministic races.
-
-- ``mode=FIRE_AND_FORGET``: background ``asyncio.create_task``. Cannot block or modify.
-  Receives an isolated snapshot.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import PluginMode, PluginResult, block, hook, register
-from mellea.plugins.base import PluginViolationError
-from mellea.plugins.hooks.generation import GenerationPreCallPayload
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType, PluginMode
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def _session_payload(**kwargs) -> SessionPreInitPayload:
-    defaults: dict = dict(
-        backend_name="test-backend", model_id="test-model", model_options=None
-    )
-    defaults.update(kwargs)
-    return SessionPreInitPayload(**defaults)
-
-
-def _generation_payload(**kwargs) -> GenerationPreCallPayload:
-    defaults: dict = dict(model_options={"temperature": 0.7})
-    defaults.update(kwargs)
-    return GenerationPreCallPayload(**defaults)
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def cleanup_plugins():
-    """Reset plugin manager state after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# Enforce mode
-# ---------------------------------------------------------------------------
-
-
-class TestSequentialMode:
-    """mode=SEQUENTIAL is the default. Violations raise PluginViolationError."""
-
-    @pytest.mark.asyncio
-    async def test_blocking_plugin_raises_violation_error(self) -> None:
-        """A hook that returns block() in enforce mode causes invoke_hook to raise."""
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def enforced_blocker(payload, ctx):
-            return block("Access denied", code="AUTH_001")
-
-        register(enforced_blocker)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        err = exc_info.value
-        assert err.hook_type == "session_pre_init"
-        assert err.reason == "Access denied"
-        assert err.code == "AUTH_001"
-
-    @pytest.mark.asyncio
-    async def test_non_blocking_plugin_returns_normally(self) -> None:
-        """A hook that returns continue_processing=True does not raise."""
-        invocations: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def observe_hook(payload, ctx):
-            invocations.append("fired")
-            return PluginResult(continue_processing=True)
-
-        register(observe_hook)
-
-        result, _returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, _session_payload()
-        )
-
-        assert invocations == ["fired"]
-        assert result is not None
-        assert result.continue_processing is True
-
-    @pytest.mark.asyncio
-    async def test_enforce_mode_writable_field_modification_is_accepted(self) -> None:
-        """A hook that modifies a writable field (model_id) has the change applied."""
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def rewrite_model(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "gpt-4-turbo"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(rewrite_model)
-
-        payload = _session_payload(model_id="gpt-3.5")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        # session_pre_init policy marks model_id as a writable field
-        assert returned_payload.model_id == "gpt-4-turbo"
-
-    @pytest.mark.asyncio
-    async def test_enforce_stops_downstream_plugin_when_blocking(self) -> None:
-        """When an enforce plugin blocks, downstream plugins do not fire."""
-        downstream_calls: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def early_blocker(payload, ctx):
-            return block("Stopped early", code="STOP_001")
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def downstream_hook(payload, ctx):
-            downstream_calls.append("fired")
-            return None
-
-        register(early_blocker)
-        register(downstream_hook)
-
-        with pytest.raises(PluginViolationError):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # Downstream hook must not have executed because SEQUENTIAL short-circuits the chain
-        assert downstream_calls == []
-
-    @pytest.mark.asyncio
-    async def test_enforce_violation_error_carries_plugin_name(self) -> None:
-        """PluginViolationError includes the plugin_name set by ContextForge."""
-
-        @hook("generation_pre_call", mode=PluginMode.SEQUENTIAL)
-        async def named_blocker(payload, ctx):
-            return block("Rate limit exceeded", code="RATE_001")
-
-        register(named_blocker)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.GENERATION_PRE_CALL, _generation_payload())
-
-        # ContextForge sets violation.plugin_name from the registered handler's name
-        assert exc_info.value.plugin_name != ""
-
-    @pytest.mark.asyncio
-    async def test_default_mode_is_sequential(self) -> None:
-        """@hook without an explicit mode defaults to SEQUENTIAL and raises on violation."""
-
-        @hook("session_pre_init")  # no mode= argument; default is SEQUENTIAL
-        async def default_mode_blocker(payload, ctx):
-            return block("Blocked by default-mode hook", code="DEFAULT_001")
-
-        register(default_mode_blocker)
-
-        with pytest.raises(PluginViolationError):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-    @pytest.mark.asyncio
-    async def test_enforce_none_return_does_not_raise(self) -> None:
-        """A hook returning None (no-op) in enforce mode does not raise."""
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def silent_hook(payload, ctx):
-            return None
-
-        register(silent_hook)
-
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, _session_payload()
-        )
-        # No exception; payload is unchanged
-        assert returned_payload.backend_name == "test-backend"
-
-
-# ---------------------------------------------------------------------------
-# Permissive mode
-# ---------------------------------------------------------------------------
-
-
-class TestAuditMode:
-    """mode=AUDIT: violations are logged but do not raise or stop execution."""
-
-    @pytest.mark.asyncio
-    async def test_blocking_permissive_plugin_does_not_raise(self) -> None:
-        """A blocking plugin in permissive mode must not raise PluginViolationError."""
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def permissive_blocker(payload, ctx):
-            return block("Would block, but permissive", code="PERM_001")
-
-        register(permissive_blocker)
-
-        # Must not raise
-        result, _returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, _session_payload()
-        )
-        # ContextForge execute() loop always returns continue_processing=True after
-        # a permissive violation because it continues iterating to end of the chain.
-        assert result is not None
-        assert result.continue_processing is True
-
-    @pytest.mark.asyncio
-    async def test_permissive_violation_does_not_stop_downstream_plugin(self) -> None:
-        """Downstream plugins still fire after a permissive plugin signals a violation."""
-        downstream_calls: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=5)
-        async def early_permissive_blocker(payload, ctx):
-            return block("Soft block", code="SOFT_001")
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
-        async def downstream_hook(payload, ctx):
-            downstream_calls.append("fired")
-            return None
-
-        register(early_permissive_blocker)
-        register(downstream_hook)
-
-        # Should not raise
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # Downstream hook must have executed despite the earlier permissive block
-        assert downstream_calls == ["fired"]
-
-    @pytest.mark.asyncio
-    async def test_permissive_non_blocking_hook_fires_normally(self) -> None:
-        """A permissive hook that continues fires and the call succeeds."""
-        invocations: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def permissive_observer(payload, ctx):
-            invocations.append(payload.backend_name)
-            return PluginResult(continue_processing=True)
-
-        register(permissive_observer)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert invocations == ["test-backend"]
-
-    @pytest.mark.asyncio
-    async def test_multiple_permissive_blocking_plugins_all_fire(self) -> None:
-        """Multiple permissive blocking plugins all execute; no exception is raised."""
-        fires: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=5)
-        async def first_permissive(payload, ctx):
-            fires.append("first")
-            return block("First block", code="P001")
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=10)
-        async def second_permissive(payload, ctx):
-            fires.append("second")
-            return block("Second block", code="P002")
-
-        register(first_permissive)
-        register(second_permissive)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert fires == ["first", "second"]
-
-    @pytest.mark.asyncio
-    async def test_permissive_blocking_followed_by_enforce_observer(self) -> None:
-        """A permissive blocker followed by a non-blocking enforce hook: both fire, and enforce goes first."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def permissive_block(payload, ctx):
-            order.append("permissive")
-            return block("Soft block", code="PERM_SIBLING")
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def enforce_observer(payload, ctx):
-            order.append("enforce")
-            return PluginResult(continue_processing=True)
-
-        register(permissive_block)
-        register(enforce_observer)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert order == ["enforce", "permissive"]
-
-    @pytest.mark.asyncio
-    async def test_audit_modification_is_discarded(self) -> None:
-        """AUDIT hooks are observe-only — payload modifications are discarded."""
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def audit_modifier(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "audit-model"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(audit_modifier)
-
-        payload = _session_payload(model_id="original-model")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.model_id == "original-model"
-
-
-# ---------------------------------------------------------------------------
-# Fire-and-forget mode
-# ---------------------------------------------------------------------------
-
-
-class TestFireAndForgetMode:
-    """mode=FIRE_AND_FORGET: mapped to PluginMode.OBSERVE at the ContextForge level.
-
-    The Mellea registry maps PluginMode.FIRE_AND_FORGET to the ContextForge
-    PluginMode.OBSERVE (see mellea/plugins/registry.py).  Consequently:
-
-    - The hook is dispatched as a background asyncio.create_task (not awaited inline).
-    - Violations are logged but never raised as PluginViolationError.
-    - Payload modifications are discarded; the pipeline sees the original payload.
-    """
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_hook_executes_as_background_task(self) -> None:
-        """A fire-and-forget hook fires as a background task and records its invocation."""
-        invocations: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
-        async def faf_observer(payload, ctx):
-            invocations.append("fired")
-            return PluginResult(continue_processing=True)
-
-        register(faf_observer)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # The hook runs as a background asyncio task; yield to the event loop to
-        # allow it to complete before asserting.
-        await asyncio.sleep(0.05)
-        assert invocations == ["fired"]
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_blocking_does_not_raise(self) -> None:
-        """A blocking fire-and-forget hook does NOT raise PluginViolationError.
-
-        In OBSERVE mode violations are logged but never propagated — background
-        tasks cannot halt the pipeline.
-        """
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
-        async def faf_blocker(payload, ctx):
-            return block("FAF block", code="FAF_001")
-
-        register(faf_blocker)
-
-        # Should complete without raising even though the hook returns block().
-        result, _payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, _session_payload()
-        )
-        assert result is not None and result.continue_processing is True
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_writable_field_modification_is_not_applied(
-        self,
-    ) -> None:
-        """A fire-and-forget hook that modifies a writable field does NOT affect the pipeline.
-
-        In OBSERVE mode the hook receives a copy of the payload; its modifications are
-        discarded and the original payload is returned to the caller unchanged.
-        """
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
-        async def faf_modifier(payload, ctx):
-            modified = payload.model_copy(update={"backend_name": "modified-backend"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(faf_modifier)
-
-        payload = _session_payload(backend_name="original-backend")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.backend_name == "original-backend"
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_non_blocking_does_not_stop_downstream(self) -> None:
-        """A non-blocking fire-and-forget hook lets downstream plugins fire."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET, priority=5)
-        async def faf_first(payload, ctx):
-            order.append("faf")
-            return PluginResult(continue_processing=True)
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
-        async def enforce_second(payload, ctx):
-            order.append("enforce")
-            return PluginResult(continue_processing=True)
-
-        register(faf_first)
-        register(enforce_second)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        await asyncio.sleep(0.05)
-        assert order == ["enforce", "faf"]
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_mode_stored_correctly_in_hook_meta(self) -> None:
-        """HookMeta records PluginMode.FIRE_AND_FORGET on the decorated function.
-
-        Verifies that the Mellea-layer decorator stores the correct mode enum value
-        regardless of how the ContextForge adapter maps it at registration time.
-        """
-        from mellea.plugins.decorators import HookMeta
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET, priority=25)
-        async def faf_fn(payload, ctx):
-            return None
-
-        meta: HookMeta = faf_fn._mellea_hook_meta
-        assert meta.mode == PluginMode.FIRE_AND_FORGET
-        assert meta.hook_type == "session_pre_init"
-        assert meta.priority == 25
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_none_return_is_noop(self) -> None:
-        """A fire-and-forget hook returning None leaves the payload unchanged."""
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
-        async def faf_noop(payload, ctx):
-            return None
-
-        register(faf_noop)
-
-        payload = _session_payload(backend_name="unchanged")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.backend_name == "unchanged"
-
-
-# ---------------------------------------------------------------------------
-# Transform mode
-# ---------------------------------------------------------------------------
-
-
-class TestTransformMode:
-    """TRANSFORM plugins can modify payloads but cannot block the pipeline."""
-
-    @pytest.mark.asyncio
-    async def test_transform_modifies_writable_field(self) -> None:
-        """A TRANSFORM hook can modify writable fields."""
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM)
-        async def xform_modifier(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "transformed-model"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(xform_modifier)
-
-        payload = _session_payload(model_id="original-model")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.model_id == "transformed-model"
-
-    @pytest.mark.asyncio
-    async def test_transform_cannot_block(self) -> None:
-        """A TRANSFORM hook returning continue_processing=False is suppressed."""
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM)
-        async def xform_blocker(payload, ctx):
-            return block("Should be suppressed")
-
-        register(xform_blocker)
-
-        payload = _session_payload()
-        # Should NOT raise — blocking is suppressed for TRANSFORM
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-        assert returned_payload.backend_name == "test-backend"
-
-    @pytest.mark.asyncio
-    async def test_transform_chains_between_plugins(self) -> None:
-        """Two TRANSFORM hooks chain their modifications."""
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
-        async def xform_a(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "step-a"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=2)
-        async def xform_b(payload, ctx):
-            # Should see step-a from the previous plugin
-            modified = payload.model_copy(
-                update={"model_options": {"seen": payload.model_id}}
-            )
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(xform_a)
-        register(xform_b)
-
-        payload = _session_payload()
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.model_id == "step-a"
-        assert returned_payload.model_options == {"seen": "step-a"}
-
-    @pytest.mark.asyncio
-    async def test_transform_runs_after_sequential(self) -> None:
-        """TRANSFORM hooks run after SEQUENTIAL hooks regardless of priority."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=99)
-        async def seq_hook(payload, ctx):
-            order.append("sequential")
-            return None
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
-        async def xform_hook(payload, ctx):
-            order.append("transform")
-            return None
-
-        register(seq_hook)
-        register(xform_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert order == ["sequential", "transform"]
-
-    @pytest.mark.asyncio
-    async def test_transform_runs_before_audit(self) -> None:
-        """TRANSFORM hooks run before AUDIT hooks."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=1)
-        async def audit_hook(payload, ctx):
-            order.append("audit")
-            return None
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=99)
-        async def xform_hook(payload, ctx):
-            order.append("transform")
-            return None
-
-        register(audit_hook)
-        register(xform_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert order == ["transform", "audit"]
-
-
-# ---------------------------------------------------------------------------
-# Concurrent mode
-# ---------------------------------------------------------------------------
-
-
-class TestConcurrentMode:
-    """CONCURRENT plugins can block but cannot modify payloads."""
-
-    @pytest.mark.asyncio
-    async def test_concurrent_can_block(self) -> None:
-        """A CONCURRENT hook returning continue_processing=False raises."""
-
-        @hook("session_pre_init", mode=PluginMode.CONCURRENT)
-        async def conc_blocker(payload, ctx):
-            return block("Blocked by concurrent gate")
-
-        register(conc_blocker)
-
-        with pytest.raises(PluginViolationError):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-    @pytest.mark.asyncio
-    async def test_concurrent_modification_is_discarded(self) -> None:
-        """CONCURRENT hooks cannot modify payloads — modifications are discarded."""
-
-        @hook("session_pre_init", mode=PluginMode.CONCURRENT)
-        async def conc_modifier(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "concurrent-model"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(conc_modifier)
-
-        payload = _session_payload(model_id="original-model")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.model_id == "original-model"
-
-    @pytest.mark.asyncio
-    async def test_concurrent_runs_after_audit(self) -> None:
-        """CONCURRENT hooks run after AUDIT hooks."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.CONCURRENT, priority=1)
-        async def conc_hook(payload, ctx):
-            order.append("concurrent")
-            return None
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=99)
-        async def audit_hook(payload, ctx):
-            order.append("audit")
-            return None
-
-        register(conc_hook)
-        register(audit_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert order == ["audit", "concurrent"]
diff --git a/test/plugins/test_hook_call_sites.py b/test/plugins/test_hook_call_sites.py
deleted file mode 100644
index 5c0742b3c..000000000
--- a/test/plugins/test_hook_call_sites.py
+++ /dev/null
@@ -1,962 +0,0 @@
-"""Integration tests verifying that hooks fire at actual Mellea call sites.
-
-Each test registers a hook recorder, triggers the actual code path (Backend,
-functional.py, sampling/base.py, session.py), and asserts that the hook fired
-with the expected payload shape.
-
-All tests use lightweight mock backends so no real LLM API calls are made.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import datetime
-from typing import Any
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.core.backend import Backend
-from mellea.core.base import (
-    CBlock,
-    Context,
-    GenerateLog,
-    GenerateType,
-    ModelOutputThunk,
-)
-from mellea.plugins import PluginResult, hook, register
-from mellea.plugins.manager import shutdown_plugins
-from mellea.stdlib.context import SimpleContext
-
-# ---------------------------------------------------------------------------
-# Mock backend (module-level so it can be used as a class in session tests)
-# ---------------------------------------------------------------------------
-
-
-class _MockBackend(Backend):
-    """Minimal backend that returns a faked ModelOutputThunk — no LLM API calls."""
-
-    model_id = "mock-model"
-
-    def __init__(self, *args, **kwargs):
-        # Accept but discard constructor arguments; real backends need model_id etc.
-        pass
-
-    async def _generate_from_context(self, action, ctx, **kwargs):
-        mot = MagicMock(spec=ModelOutputThunk)
-        glog = GenerateLog()
-        glog.prompt = "mocked formatted prompt"
-        mot._generate_log = glog
-        mot.parsed_repr = None
-        mot._start = datetime.datetime.now()
-
-        async def _avalue():
-            return "mocked output"
-
-        mot.avalue = _avalue
-        mot.value = "mocked output string"  # SamplingResult requires a str .value
-        # Return a new SimpleContext to mimic real context evolution
-        new_ctx = SimpleContext()
-        return mot, new_ctx
-
-    async def generate_from_raw(self, actions, ctx, **kwargs):
-        # Required abstract method; not exercised by these tests
-        return []
-
-
-async def _noop_process(mot, chunk):
-    if mot._underlying_value is None:
-        mot._underlying_value = ""
-    mot._underlying_value += str(chunk)
-
-
-async def _noop_post_process(mot):
-    return
-
-
-def _make_thunk():
-    mot = ModelOutputThunk(value=None)
-    mot._generate_type = GenerateType.ASYNC
-    mot._process = _noop_process
-    mot._post_process = _noop_post_process
-    mot._action = CBlock("test")
-    mot._chunk_size = 0
-    mot._start = datetime.datetime.now()
-    return mot
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    """Shut down and reset the plugin manager after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# Generation hook call sites
-# ---------------------------------------------------------------------------
-
-
-class TestGenerationHookCallSites:
-    """GENERATION_PRE_CALL and GENERATION_POST_CALL fire in Backend.generate_from_context()."""
-
-    async def test_generation_pre_call_fires_once(self) -> None:
-        """GENERATION_PRE_CALL fires exactly once per generate_from_context() call."""
-        observed: list[Any] = []
-
-        @hook("generation_pre_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        action = CBlock("hello world")
-        await backend.generate_from_context(action, MagicMock(spec=Context))
-
-        assert len(observed) == 1
-
-    async def test_generation_pre_call_payload_has_action_and_context(self) -> None:
-        """GENERATION_PRE_CALL payload carries the action CBlock and the context."""
-        observed: list[Any] = []
-
-        @hook("generation_pre_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        action = CBlock("specific input text")
-        mock_ctx = MagicMock(spec=Context)
-        await backend.generate_from_context(action, mock_ctx)
-
-        p = observed[0]
-
-        assert isinstance(p.action, CBlock)
-        assert p.action.value == action.value
-        assert p.context is not None
-
-    # TODO: JAL.
-    async def test_generation_post_call_fires_once(self) -> None:
-        """GENERATION_POST_CALL fires exactly once after generate_from_context() returns."""
-        observed: list[Any] = []
-
-        @hook("generation_post_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        mot = _make_thunk()
-        await mot._async_queue.put("hello")
-        await mot._async_queue.put("goodbye")
-        await mot._async_queue.put(None)  # sentinel for being done
-
-        await mot.avalue()
-        assert len(observed) == 1
-
-    # TODO: JAL.
-    async def test_generation_post_call_model_output_is_the_returned_thunk(
-        self,
-    ) -> None:
-        """GENERATION_POST_CALL payload.model_output IS the ModelOutputThunk returned."""
-        observed: list[Any] = []
-
-        @hook("generation_post_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        mot = _make_thunk()
-        await mot._async_queue.put("hello")
-        await mot._async_queue.put("goodbye")
-        await mot._async_queue.put(None)  # sentinel for being done
-        await mot.avalue()
-
-        assert observed[0].model_output is not None
-
-    # TODO: JAL.
-    async def test_generation_post_call_latency_ms_is_non_negative(self) -> None:
-        """GENERATION_POST_CALL payload.latency_ms >= 0."""
-        observed: list[Any] = []
-
-        @hook("generation_post_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        mot = _make_thunk()
-        await mot._async_queue.put("hello")
-        await mot._async_queue.put("goodbye")
-        await mot._async_queue.put(None)  # sentinel for being done
-
-        await asyncio.sleep(1)
-        await mot.avalue()
-
-        assert observed[0].latency_ms >= 0
-
-
-# ---------------------------------------------------------------------------
-# Component hook call sites
-# ---------------------------------------------------------------------------
-
-
-class TestComponentHookCallSites:
-    """Component hooks fire in ainstruct() and aact() in stdlib/functional.py."""
-
-    async def test_component_pre_execute_fires_in_aact(self) -> None:
-        """COMPONENT_PRE_EXECUTE fires in aact() before generation is called."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_pre_execute")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Execute this")
-
-        await aact(action, ctx, backend, strategy=None)
-        assert len(observed) == 1
-
-    async def test_component_pre_execute_payload_has_live_action(self) -> None:
-        """COMPONENT_PRE_EXECUTE payload.action IS the same Component instance."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_pre_execute")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Live reference test")
-
-        await aact(action, ctx, backend, strategy=None)
-        assert isinstance(observed[0].action, Instruction)
-        assert observed[0].action._description.value == action._description.value  # type: ignore[union-attr]
-
-    async def test_component_pre_execute_payload_component_type(self) -> None:
-        """COMPONENT_PRE_EXECUTE payload.component_type matches the action class name."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_pre_execute")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Type check")
-
-        await aact(action, ctx, backend, strategy=None)
-        assert observed[0].component_type == "Instruction"
-
-    async def test_component_post_success_fires_in_aact(self) -> None:
-        """COMPONENT_POST_SUCCESS fires in aact() after successful generation."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_post_success")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Success test")
-
-        _result, _new_ctx = await aact(action, ctx, backend, strategy=None)
-        assert len(observed) == 1
-
-    async def test_component_post_success_payload_has_correct_result_and_contexts(
-        self,
-    ) -> None:
-        """COMPONENT_POST_SUCCESS payload carries result, context_before, context_after."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_post_success")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Payload check")
-
-        _result, _new_ctx = await aact(action, ctx, backend, strategy=None)
-
-        p = observed[0]
-
-        assert p.result is not None
-        assert p.context_before is not None
-        assert p.context_after is not None
-        assert p.action is not None
-        assert p.latency_ms >= 0
-
-
-# ---------------------------------------------------------------------------
-# Sampling hook call sites
-# ---------------------------------------------------------------------------
-
-
-class TestSamplingHookCallSites:
-    """SAMPLING_LOOP_START, SAMPLING_ITERATION, SAMPLING_LOOP_END fire in
-    BaseSamplingStrategy.sample()."""
-
-    async def test_sampling_loop_start_fires(self) -> None:
-        """SAMPLING_LOOP_START fires when RejectionSamplingStrategy.sample() begins."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_start")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Sample test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert len(observed) == 1
-
-    async def test_sampling_loop_start_payload_has_strategy_name(self) -> None:
-        """SAMPLING_LOOP_START payload.strategy_name contains the strategy class name."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_start")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Strategy name test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert "RejectionSampling" in observed[0].strategy_name
-
-    async def test_sampling_loop_start_payload_has_correct_loop_budget(self) -> None:
-        """SAMPLING_LOOP_START payload.loop_budget matches the strategy's loop_budget."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_start")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=3)
-
-        await strategy.sample(
-            Instruction("Budget test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert observed[0].loop_budget == 3
-
-    async def test_sampling_iteration_fires_once_per_loop_iteration(self) -> None:
-        """SAMPLING_ITERATION fires once per loop iteration."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_iteration")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        # With loop_budget=1 and no requirements, exactly 1 iteration runs
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Iteration test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert len(observed) == 1
-        assert observed[0].iteration == 1
-        assert observed[0].all_validations_passed is True  # no requirements → all pass
-
-    async def test_sampling_loop_end_fires_on_success_path(self) -> None:
-        """SAMPLING_LOOP_END fires with success=True when sampling succeeds."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_end")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("End test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert len(observed) == 1
-        assert observed[0].success is True
-
-    async def test_sampling_loop_end_success_payload_has_final_result_and_context(
-        self,
-    ) -> None:
-        """SAMPLING_LOOP_END success payload has final_result and final_context populated."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_end")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Final payload test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        p = observed[0]
-        assert p.final_result is not None
-        assert p.final_context is not None
-        assert isinstance(p.all_results, list)
-        assert len(p.all_results) == 1  # one iteration, one result
-
-    async def test_sampling_loop_end_context_available_on_payload(self) -> None:
-        """On success, SAMPLING_LOOP_END payload carries final_context (post-generation)."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed_ctxs: list[Any] = []
-
-        @hook("sampling_loop_end")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed_ctxs.append(payload.final_context)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        original_ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Context test"),
-            context=original_ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        # On success, the payload's final_context should be result_ctx (not original_ctx)
-        if observed_ctxs:
-            assert observed_ctxs[0] is not original_ctx, (
-                "Success path: payload.final_context should be result_ctx, not the original input context"
-            )
-
-    async def test_all_three_sampling_hooks_fire_in_order(self) -> None:
-        """SAMPLING_LOOP_START → SAMPLING_ITERATION → SAMPLING_LOOP_END order."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        order: list[str] = []
-
-        @hook("sampling_loop_start")
-        async def h1(payload: Any, ctx: Any) -> Any:
-            order.append("loop_start")
-            return None
-
-        @hook("sampling_iteration")
-        async def h2(payload: Any, ctx: Any) -> Any:
-            order.append("iteration")
-            return None
-
-        @hook("sampling_loop_end")
-        async def h3(payload: Any, ctx: Any) -> Any:
-            order.append("loop_end")
-            return None
-
-        register(h1)
-        register(h2)
-        register(h3)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Order test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert order == ["loop_start", "iteration", "loop_end"]
-
-
-# ---------------------------------------------------------------------------
-# Session hook call sites
-# ---------------------------------------------------------------------------
-
-
-class TestSessionHookCallSites:
-    """SESSION_PRE_INIT and SESSION_POST_INIT fire in start_session().
-
-    start_session() is a synchronous function that uses _run_async_in_thread
-    to invoke hooks.  These tests patch backend_name_to_class to avoid
-    instantiating a real LLM backend.
-    """
-
-    def test_session_pre_init_fires_during_start_session(self) -> None:
-        """SESSION_PRE_INIT fires once before the backend is instantiated."""
-        from mellea.stdlib.session import start_session
-
-        observed: list[Any] = []
-
-        @hook("session_pre_init")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            start_session("ollama", model_id="test-model")
-
-        assert len(observed) == 1
-
-    def test_session_pre_init_payload_has_backend_name_and_model_id(self) -> None:
-        """SESSION_PRE_INIT payload carries the backend_name and model_id passed to start_session."""
-        from mellea.stdlib.session import start_session
-
-        observed: list[Any] = []
-
-        @hook("session_pre_init")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            start_session("ollama", model_id="granite-3b-instruct")
-
-        p = observed[0]
-        assert p.backend_name == "ollama"
-        assert p.model_id == "granite-3b-instruct"
-
-    def test_session_post_init_fires_after_session_created(self) -> None:
-        """SESSION_POST_INIT fires once after the MelleaSession object is created."""
-        from mellea.stdlib.session import start_session
-
-        observed: list[Any] = []
-
-        @hook("session_post_init")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            start_session("ollama", model_id="test-model")
-
-        assert len(observed) == 1
-
-    def test_session_post_init_payload_has_session_metadata(self) -> None:
-        """SESSION_POST_INIT payload contains session_id, model_id, and context."""
-        from mellea.stdlib.session import start_session
-
-        observed: list[Any] = []
-
-        @hook("session_post_init")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            session = start_session("ollama", model_id="test-model")
-
-        p = observed[0]
-        assert p.session_id == session.id
-        assert p.model_id == "test-model"
-        assert p.context is not None
-
-    def test_pre_init_fires_before_post_init(self) -> None:
-        """SESSION_PRE_INIT fires before SESSION_POST_INIT."""
-        from mellea.stdlib.session import start_session
-
-        order: list[str] = []
-
-        @hook("session_pre_init")
-        async def pre_recorder(payload: Any, ctx: Any) -> Any:
-            order.append("pre_init")
-            return None
-
-        @hook("session_post_init")
-        async def post_recorder(payload: Any, ctx: Any) -> Any:
-            order.append("post_init")
-            return None
-
-        register(pre_recorder)
-        register(post_recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            start_session("ollama", model_id="test-model")
-
-        assert order == ["pre_init", "post_init"]
-
-
-# ---------------------------------------------------------------------------
-# Mutation tests — verify that hook-modified payloads are actually applied
-# ---------------------------------------------------------------------------
-
-
-class TestGenerationPostCallObserveOnly:
-    """GENERATION_POST_CALL is observe-only — modifications are discarded."""
-
-    async def test_modification_discarded_on_eager_path(self) -> None:
-        """A plugin that tries to replace model_output has its change discarded."""
-        replacement = MagicMock(spec=ModelOutputThunk)
-        replacement._generate_log = None
-
-        @hook("generation_post_call")
-        async def swap_output(payload, *_):
-            modified = payload.model_copy(update={"model_output": replacement})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(swap_output)
-        backend = _MockBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("mutation test"), MagicMock(spec=Context)
-        )
-
-        # model_output is no longer writable — original is preserved
-        assert result is not replacement
-        assert isinstance(result, ModelOutputThunk)
-
-    async def test_no_modification_returns_original_output(self) -> None:
-        """When the hook returns None the original thunk is returned unchanged."""
-
-        @hook("generation_post_call")
-        async def observe_only(*_):
-            return None
-
-        register(observe_only)
-        backend = _MockBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("no-op test"), MagicMock(spec=Context)
-        )
-
-        assert result is not None
-        assert isinstance(result, ModelOutputThunk)
-
-
-# ---------------------------------------------------------------------------
-# Lazy/stream path MOT replacement
-# ---------------------------------------------------------------------------
-
-
-class _MockLazyBackend(Backend):
-    """Backend that returns a real lazy (uncomputed) ModelOutputThunk.
-
-    The MOT must be materialized via ``avalue()``/``astream()``, exercising
-    the ``_on_computed`` callback path.
-    """
-
-    model_id = "mock-lazy-model"
-
-    def __init__(self, *args, **kwargs):
-        pass
-
-    async def _generate_from_context(self, action, ctx, **kwargs):
-        import asyncio
-
-        mot = ModelOutputThunk(value=None)
-        mot._generate_type = GenerateType.ASYNC
-        mot._chunk_size = 0
-        mot._action = action
-
-        async def _process(thunk, chunk):
-            if thunk._underlying_value is None:
-                thunk._underlying_value = ""
-            thunk._underlying_value += str(chunk)
-
-        async def _post_process(thunk):
-            pass
-
-        mot._process = _process
-        mot._post_process = _post_process
-
-        glog = GenerateLog()
-        glog.prompt = "lazy mocked prompt"
-        mot._generate_log = glog
-
-        # Simulate async generation: enqueue chunks + sentinel
-        async def _generate():
-            await mot._async_queue.put("lazy output")
-            await mot._async_queue.put(None)  # sentinel
-
-        mot._generate = asyncio.ensure_future(_generate())
-
-        return mot, SimpleContext()
-
-    async def generate_from_raw(self, actions, ctx, **kwargs):
-        return []
-
-
-class TestGenerationPostCallObserveOnlyLazyPath:
-    """GENERATION_POST_CALL is observe-only on the lazy/stream path."""
-
-    async def test_modification_discarded_on_lazy_path(self) -> None:
-        """A plugin trying to replace model_output has its change discarded on lazy path."""
-        replacement = ModelOutputThunk(value="replaced output")
-        replacement_glog = GenerateLog()
-        replacement_glog.prompt = "replaced prompt"
-        replacement._generate_log = replacement_glog
-
-        @hook("generation_post_call")
-        async def swap_output(payload, *_):
-            modified = payload.model_copy(update={"model_output": replacement})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(swap_output)
-        backend = _MockLazyBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("lazy mutation test"), MagicMock(spec=Context)
-        )
-
-        # model_output is no longer writable — original value is preserved
-        await result.avalue()
-        assert result.value == "lazy output"
-
-    async def test_no_modification_preserves_original_on_lazy_path(self) -> None:
-        """When the hook returns None on the lazy path, the original MOT is unchanged."""
-
-        @hook("generation_post_call")
-        async def observe_only(*_):
-            return None
-
-        register(observe_only)
-        backend = _MockLazyBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("lazy no-op test"), MagicMock(spec=Context)
-        )
-
-        value = await result.avalue()
-        assert value == "lazy output"
-
-    async def test_hook_fires_exactly_once_on_lazy_path(self) -> None:
-        """GENERATION_POST_CALL fires exactly once even when avalue() is called after astream()."""
-        fire_count = 0
-
-        @hook("generation_post_call")
-        async def counter(*_):
-            nonlocal fire_count
-            fire_count += 1
-            return None
-
-        register(counter)
-        backend = _MockLazyBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("lazy fire-once test"), MagicMock(spec=Context)
-        )
-
-        await result.avalue()
-        # Second avalue call should not re-fire
-        await result.avalue()
-        assert fire_count == 1
-
-
-class TestSamplingLoopEndObserveOnly:
-    """SAMPLING_LOOP_END is observe-only — modifications are discarded."""
-
-    async def test_observe_only_on_success_path(self) -> None:
-        """Hook fires on success but cannot modify final_result."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[bool] = []
-
-        @hook("sampling_loop_end")
-        async def observe_success(payload, *_):
-            observed.append(payload.success)
-            return None
-
-        register(observe_success)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        sampling_result = await strategy.sample(
-            Instruction("observe test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-
-        assert sampling_result.result is not None
-        assert isinstance(sampling_result.result, ModelOutputThunk)
-        assert observed == [True]
-
-    async def test_observe_only_on_failure_path(self) -> None:
-        """Hook fires on failure but cannot modify final_result."""
-        from mellea.core.requirement import Requirement, ValidationResult
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[bool] = []
-
-        @hook("sampling_loop_end")
-        async def observe_failure(payload, *_):
-            observed.append(payload.success)
-            return None
-
-        register(observe_failure)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-
-        always_fail = Requirement(
-            description="always fails",
-            validation_fn=lambda _ctx: ValidationResult(
-                result=False, reason="forced failure"
-            ),
-        )
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        sampling_result = await strategy.sample(
-            Instruction("failure observe test"),
-            context=ctx,
-            backend=backend,
-            requirements=[always_fail],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-
-        assert not sampling_result.success
-        assert sampling_result.result is not None
-        assert observed == [False]
-
-
-if __name__ == "__main__":
-    pytest.main([__file__])
diff --git a/test/plugins/test_manager.py b/test/plugins/test_manager.py
deleted file mode 100644
index 82761127b..000000000
--- a/test/plugins/test_manager.py
+++ /dev/null
@@ -1,146 +0,0 @@
-"""Tests for the plugin manager."""
-
-import pytest
-
-from mellea.plugins.base import MelleaBasePayload
-from mellea.plugins.manager import (
-    ensure_plugin_manager,
-    has_plugins,
-    invoke_hook,
-    shutdown_plugins,
-)
-from mellea.plugins.types import HookType, PluginMode
-
-# These tests require the contextforge plugin framework
-pytest.importorskip("cpex.framework")
-
-
-@pytest.fixture(autouse=True)
-async def cleanup_plugins():
-    """Ensure plugin manager is shut down after each test."""
-    yield
-    await shutdown_plugins()
-
-
-class TestNoOpGuards:
-    @pytest.mark.asyncio
-    async def test_invoke_hook_noop_when_no_plugins(self, request):
-        """When no plugins are registered, invoke_hook returns (None, original_payload)."""
-        plugins_disabled = request.config.getoption(
-            "--disable-default-mellea-plugins", default=False
-        )
-        if not plugins_disabled:
-            pytest.skip("must pass --disable-default-mellea-plugins for this test")
-        payload = MelleaBasePayload(request_id="test-123")
-        result, returned_payload = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-        assert result is None
-        assert returned_payload is payload
-
-    def test_has_plugins_false_by_default(self, request):
-        """has_plugins() returns False when no plugins have been registered."""
-        plugins_disabled = request.config.getoption(
-            "--disable-default-mellea-plugins", default=False
-        )
-        if not plugins_disabled:
-            pytest.skip("must pass --disable-default-mellea-plugins for this test")
-        # After shutdown, plugins should not be enabled
-        assert not has_plugins()
-
-
-class TestPluginManagerInit:
-    def test_ensure_plugin_manager_creates_manager(self):
-        pm = ensure_plugin_manager()
-        assert pm is not None
-        assert has_plugins()
-
-    def test_ensure_plugin_manager_idempotent(self):
-        pm1 = ensure_plugin_manager()
-        pm2 = ensure_plugin_manager()
-        # They may not be the same object due to Borg pattern, but should be functional
-        assert pm1 is not None
-        assert pm2 is not None
-
-
-class TestHookRegistration:
-    @pytest.mark.asyncio
-    async def test_register_and_invoke_standalone_hook(self):
-        from mellea.plugins import hook, register
-        from mellea.plugins.hooks.session import SessionPreInitPayload
-
-        invocations = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
-        async def test_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        register(test_hook)
-
-        payload = SessionPreInitPayload(
-            backend_name="openai", model_id="gpt-4", model_options=None
-        )
-        _result, _returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-        assert len(invocations) == 1
-        assert invocations[0].backend_name == "openai"
-
-    @pytest.mark.asyncio
-    async def test_register_class_plugin(self):
-        from mellea.plugins import Plugin, hook, register
-        from mellea.plugins.hooks.session import SessionPreInitPayload
-
-        invocations = []
-
-        class TestPlugin(Plugin, name="test-class-plugin", priority=5):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append(("pre_init", payload))
-                return None
-
-        register(TestPlugin())
-
-        payload = SessionPreInitPayload(
-            backend_name="openai", model_id="gpt-4", model_options=None
-        )
-        await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-        assert len(invocations) == 1
-        assert invocations[0][0] == "pre_init"
-
-    @pytest.mark.asyncio
-    async def test_register_plugin_set(self):
-        from mellea.plugins import PluginSet, hook, register
-        from mellea.plugins.hooks.session import SessionPreInitPayload
-
-        invocations = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            invocations.append("a")
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            invocations.append("b")
-            return None
-
-        ps = PluginSet("test-set", [hook_a, hook_b])
-        register(ps)
-
-        payload = SessionPreInitPayload(
-            backend_name="openai", model_id="gpt-4", model_options=None
-        )
-        await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-        assert "a" in invocations
-        assert "b" in invocations
-
-
-class TestBlockHelper:
-    def test_block_returns_plugin_result(self):
-        from mellea.plugins import block
-
-        result = block("Budget exceeded", code="BUDGET_001")
-        assert result.continue_processing is False
-        assert result.violation is not None
-        assert result.violation.reason == "Budget exceeded"
-        assert result.violation.code == "BUDGET_001"
diff --git a/test/plugins/test_mellea_plugin.py b/test/plugins/test_mellea_plugin.py
deleted file mode 100644
index 7bd44ee56..000000000
--- a/test/plugins/test_mellea_plugin.py
+++ /dev/null
@@ -1,173 +0,0 @@
-"""Tests for Plugin base class typed accessors and lifecycle."""
-
-from __future__ import annotations
-
-from typing import Any
-from unittest.mock import MagicMock
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import Plugin, hook, register
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    yield
-    await shutdown_plugins()
-
-
-def _make_payload() -> SessionPreInitPayload:
-    return SessionPreInitPayload(
-        backend_name="test", model_id="test-model", model_options=None
-    )
-
-
-# ---------------------------------------------------------------------------
-# Typed context accessors
-# ---------------------------------------------------------------------------
-
-
-class TestGlobalContextAccessors:
-    """GlobalContext.state carries lightweight ambient metadata (backend_name)."""
-
-    async def test_backend_name_in_global_context(self) -> None:
-        """backend_name is set in GlobalContext.state when backend= is passed."""
-        received = []
-
-        class AccessorPlugin(Plugin, name="accessor-test-backend-name"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                received.append(ctx.global_context.state.get("backend_name"))
-                return None
-
-        mock_backend = MagicMock()
-        mock_backend.model_id = "mock-backend"
-        register(AccessorPlugin())
-        await invoke_hook(
-            HookType.SESSION_PRE_INIT, _make_payload(), backend=mock_backend
-        )
-        assert len(received) == 1
-        assert received[0] == "mock-backend"
-
-    async def test_backend_name_absent_when_not_passed(self) -> None:
-        """'backend_name' is absent from state when backend is not passed."""
-        received = []
-
-        class AccessorPlugin(Plugin, name="accessor-absent-backend"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                received.append("backend_name" in ctx.global_context.state)
-                return None
-
-        register(AccessorPlugin())
-        await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-        assert received == [False]
-
-    async def test_full_backend_object_not_in_state(self) -> None:
-        """The full backend object should NOT be stored in GlobalContext.state."""
-        received = []
-
-        class AccessorPlugin(Plugin, name="accessor-no-full-backend"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                received.append("backend" in ctx.global_context.state)
-                return None
-
-        mock_backend = MagicMock()
-        mock_backend.model_id = "test"
-        register(AccessorPlugin())
-        await invoke_hook(
-            HookType.SESSION_PRE_INIT, _make_payload(), backend=mock_backend
-        )
-        assert received == [False]
-
-
-# ---------------------------------------------------------------------------
-# Plugin as context manager
-# ---------------------------------------------------------------------------
-
-
-class TestMelleaPluginContextManager:
-    """Plugin subclass instances can be used as context managers."""
-
-    async def test_mellea_plugin_fires_in_with_block(self) -> None:
-        """Plugin instance used as context manager fires its hooks."""
-        invocations: list = []
-
-        class CmPlugin(Plugin, name="cm-accessor-plugin"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                invocations.append(payload)
-                return None
-
-        p = CmPlugin()
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-
-        assert len(invocations) == 1
-
-    async def test_mellea_plugin_deregistered_after_with_block(self) -> None:
-        """Hooks deregister on context manager exit."""
-        invocations: list = []
-
-        class CmPlugin(Plugin, name="cm-deregister-plugin"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                invocations.append(payload)
-                return None
-
-        p = CmPlugin()
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-        assert len(invocations) == 1  # No new invocations outside block
-
-
-# ---------------------------------------------------------------------------
-# PluginViolationError attributes
-# ---------------------------------------------------------------------------
-
-
-class TestPluginViolationError:
-    """PluginViolationError carries structured information about the violation."""
-
-    async def test_violation_error_attributes(self) -> None:
-        """PluginViolationError.hook_type, .reason, .code are set from the violation."""
-        from mellea.plugins import block
-        from mellea.plugins.base import PluginViolationError
-
-        @hook("session_pre_init", priority=1)
-        async def blocking(payload: Any, ctx: Any) -> Any:
-            return block("Too expensive", code="BUDGET_001")
-
-        register(blocking)
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-
-        err = exc_info.value
-        assert err.hook_type == "session_pre_init"
-        assert err.reason == "Too expensive"
-        assert err.code == "BUDGET_001"
-
-    async def test_violation_error_message_contains_context(self) -> None:
-        """str(PluginViolationError) includes hook type and reason."""
-        from mellea.plugins import block
-        from mellea.plugins.base import PluginViolationError
-
-        @hook("session_pre_init")
-        async def blocking(payload: Any, ctx: Any) -> Any:
-            return block("Unauthorized access", code="AUTH_403")
-
-        register(blocking)
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-
-        msg = str(exc_info.value)
-        assert "session_pre_init" in msg
-        assert "Unauthorized access" in msg
diff --git a/test/plugins/test_pluginset.py b/test/plugins/test_pluginset.py
deleted file mode 100644
index 6acbda7aa..000000000
--- a/test/plugins/test_pluginset.py
+++ /dev/null
@@ -1,55 +0,0 @@
-"""Tests for PluginSet."""
-
-from mellea.plugins.pluginset import PluginSet
-
-
-class TestPluginSet:
-    def test_basic_creation(self):
-        ps = PluginSet("test", [1, 2, 3])
-        assert ps.name == "test"
-        assert len(ps.items) == 3
-        assert ps.priority is None
-
-    def test_with_priority(self):
-        ps = PluginSet("test", [1], priority=10)
-        assert ps.priority == 10
-
-    def test_flatten_simple(self):
-        ps = PluginSet("test", ["a", "b", "c"], priority=5)
-        result = ps.flatten()
-        assert result == [("a", 5), ("b", 5), ("c", 5)]
-
-    def test_flatten_no_priority(self):
-        ps = PluginSet("test", ["a", "b"])
-        result = ps.flatten()
-        assert result == [("a", None), ("b", None)]
-
-    def test_flatten_nested(self):
-        inner = PluginSet("inner", ["x", "y"], priority=10)
-        outer = PluginSet("outer", [inner, "z"], priority=20)
-        result = outer.flatten()
-        # outer's priority overrides inner's priority for ALL items (including nested)
-        assert result == [("x", 20), ("y", 20), ("z", 20)]
-
-    def test_flatten_nested_no_outer_priority(self):
-        inner = PluginSet("inner", ["x", "y"], priority=10)
-        outer = PluginSet("outer", [inner, "z"])  # no priority on outer
-        result = outer.flatten()
-        # outer has no priority → inner items keep inner's priority; direct items get None
-        assert result == [("x", 10), ("y", 10), ("z", None)]
-
-    def test_flatten_deeply_nested(self):
-        deep = PluginSet("deep", ["a"], priority=1)
-        mid = PluginSet("mid", [deep, "b"], priority=2)
-        top = PluginSet("top", [mid, "c"], priority=3)
-        result = top.flatten()
-        # The outermost set's priority wins for all nested items
-        assert result == [("a", 3), ("b", 3), ("c", 3)]
-
-    def test_repr(self):
-        ps = PluginSet("security", [1, 2])
-        assert repr(ps) == "PluginSet('security', 2 items)"
-
-    def test_scope_id_initially_none(self):
-        ps = PluginSet("test", [1, 2])
-        assert ps._scope_id is None
diff --git a/test/plugins/test_policy_enforcement.py b/test/plugins/test_policy_enforcement.py
deleted file mode 100644
index b80a99128..000000000
--- a/test/plugins/test_policy_enforcement.py
+++ /dev/null
@@ -1,329 +0,0 @@
-"""End-to-end tests for payload policy enforcement through invoke_hook.
-
-The plugin manager applies ``HookPayloadPolicy`` after each plugin returns:
-only changes to ``writable_fields`` are accepted; all other mutations are
-silently discarded.  Hooks absent from the policy table are observe-only
-and reject every modification attempt.
-"""
-
-from __future__ import annotations
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import PluginMode, PluginResult, hook, register
-from mellea.plugins.hooks.component import ComponentPostErrorPayload
-from mellea.plugins.hooks.generation import GenerationPreCallPayload
-from mellea.plugins.hooks.sampling import SamplingIterationPayload
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def _session_payload(**kwargs) -> SessionPreInitPayload:
-    defaults: dict = dict(backend_name="original-backend", model_id="original-model")
-    defaults.update(kwargs)
-    return SessionPreInitPayload(**defaults)
-
-
-def _generation_payload(**kwargs) -> GenerationPreCallPayload:
-    defaults: dict = dict(
-        model_options={"temperature": 0.5}, formatted_prompt="original prompt"
-    )
-    defaults.update(kwargs)
-    return GenerationPreCallPayload(**defaults)
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    """Shut down and reset the plugin manager after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# TestWritableFieldAccepted
-# ---------------------------------------------------------------------------
-
-
-class TestWritableFieldAccepted:
-    """Modifications to writable fields must be reflected in the returned payload."""
-
-    async def test_model_id_writable_in_session_pre_init(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def change_model(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"model_id": "plugin-model"}
-                ),
-            )
-
-        register(change_model)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        assert returned.model_id == "plugin-model"
-
-    async def test_model_options_writable_in_generation_pre_call(self) -> None:
-        new_options = {"temperature": 0.9, "max_tokens": 512}
-
-        @hook("generation_pre_call", priority=10)
-        async def change_options(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"model_options": new_options}
-                ),
-            )
-
-        register(change_options)
-
-        payload = _generation_payload()
-        _, returned = await invoke_hook(HookType.GENERATION_PRE_CALL, payload)
-
-        assert returned.model_options == new_options
-
-
-# ---------------------------------------------------------------------------
-# TestNonWritableFieldDiscarded
-# ---------------------------------------------------------------------------
-
-
-class TestNonWritableFieldDiscarded:
-    """Modifications to non-writable base fields must be silently discarded."""
-
-    async def test_session_id_non_writable_in_session_pre_init(self) -> None:
-        original_session_id = "original-session-id"
-
-        @hook("session_pre_init", priority=10)
-        async def tamper_session_id(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"session_id": "tampered-session-id"}
-                ),
-            )
-
-        register(tamper_session_id)
-
-        payload = _session_payload(session_id=original_session_id)
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        # session_id is a base payload field, not in the writable set — must be discarded
-        assert returned.session_id == original_session_id
-
-    async def test_hook_field_non_writable_in_session_pre_init(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def tamper_hook_field(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"hook": "injected-hook-value"}
-                ),
-            )
-
-        register(tamper_hook_field)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        # hook field is set by the dispatcher — plugin cannot override it
-        assert returned.hook == HookType.SESSION_PRE_INIT.value
-
-
-# ---------------------------------------------------------------------------
-# TestObserveOnlyHookAcceptsAll
-# ---------------------------------------------------------------------------
-
-
-class TestObserveOnlyHookRejectsModifications:
-    """Hooks absent from the policy table are 'observe-only': the PluginManager enforces
-    DefaultHookPolicy.DENY, silently discarding all plugin-proposed modifications.
-    """
-
-    async def test_error_type_rejected_in_component_post_error(self) -> None:
-        """component_post_error is observe-only — plugin modifications are discarded."""
-        original_error_type = "ValueError"
-
-        @hook("component_post_error", priority=10)
-        async def tamper_error_type(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"error_type": "HackedError"}
-                ),
-            )
-
-        register(tamper_error_type)
-
-        payload = ComponentPostErrorPayload(
-            component_type="Instruction", error_type=original_error_type
-        )
-        _, returned = await invoke_hook(HookType.COMPONENT_POST_ERROR, payload)
-
-        # DefaultHookPolicy.DENY is now enforced: modification is silently discarded.
-        assert returned.error_type == original_error_type
-
-    async def test_all_validations_passed_rejected_in_sampling_iteration(self) -> None:
-        """sampling_iteration is observe-only — plugin modifications are discarded."""
-
-        @hook("sampling_iteration", priority=10)
-        async def tamper_all_validations_passed(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"all_validations_passed": True}
-                ),
-            )
-
-        register(tamper_all_validations_passed)
-
-        payload = SamplingIterationPayload(iteration=1, all_validations_passed=False)
-        _, returned = await invoke_hook(HookType.SAMPLING_ITERATION, payload)
-
-        # DefaultHookPolicy.DENY is now enforced: modification is silently discarded.
-        assert returned.all_validations_passed is False
-
-
-# ---------------------------------------------------------------------------
-# TestMixedModification
-# ---------------------------------------------------------------------------
-
-
-class TestMixedModification:
-    """When a plugin modifies both writable and non-writable fields, only writable ones survive."""
-
-    async def test_writable_accepted_non_writable_discarded(self) -> None:
-        original_session_id = "original-sid"
-        original_request_id = "original-rid"
-
-        @hook("session_pre_init", priority=10)
-        async def mixed_changes(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={
-                        # writable — should be accepted
-                        "model_id": "new-model",
-                        "model_options": {"temperature": 0.9},
-                        # non-writable — should be discarded
-                        "backend_name": "new-backend",
-                        "session_id": "injected-sid",
-                        "request_id": "injected-rid",
-                    }
-                ),
-            )
-
-        register(mixed_changes)
-
-        payload = _session_payload(
-            session_id=original_session_id, request_id=original_request_id
-        )
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        assert returned.model_id == "new-model"
-        assert returned.model_options == {"temperature": 0.9}
-        assert returned.backend_name == "original-backend"
-        assert returned.session_id == original_session_id
-        assert returned.request_id == original_request_id
-
-
-# ---------------------------------------------------------------------------
-# TestPayloadChaining
-# ---------------------------------------------------------------------------
-
-
-class TestPayloadChaining:
-    """Accepted changes from Plugin A must be visible to Plugin B during the same invocation."""
-
-    async def test_plugin_b_receives_plugin_a_changes(self) -> None:
-        received_by_b: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
-        async def plugin_a(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"model_id": "modified-by-a"}
-                ),
-            )
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=100)
-        async def plugin_b(payload, ctx):
-            # Record the model_id seen by Plugin B, then write model_options
-            received_by_b.append(payload.model_id)
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"model_options": {"temperature": 0.9}}
-                ),
-            )
-
-        register(plugin_a)
-        register(plugin_b)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        # Plugin B must have observed Plugin A's accepted model_id change
-        assert received_by_b == ["modified-by-a"]
-
-        # Final payload must carry both accepted modifications
-        assert returned.model_id == "modified-by-a"
-        assert returned.model_options == {"temperature": 0.9}
-
-
-# ---------------------------------------------------------------------------
-# TestReturnNoneIsNoop
-# ---------------------------------------------------------------------------
-
-
-class TestReturnNoneIsNoop:
-    """A plugin that returns ``None`` must leave the payload entirely unchanged."""
-
-    async def test_none_return_preserves_original_payload(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def noop_plugin(payload, ctx):
-            return None  # Returning None signals: no change
-
-        register(noop_plugin)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        assert returned.backend_name == "original-backend"
-        assert returned.model_id == "original-model"
-
-
-# ---------------------------------------------------------------------------
-# TestReturnContinueTrueNoPayload
-# ---------------------------------------------------------------------------
-
-
-class TestReturnContinueTrueNoPayload:
-    """PluginResult(continue_processing=True) with no modified_payload must be a no-op."""
-
-    async def test_continue_true_without_payload_leaves_original(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def signal_only_plugin(payload, ctx):
-            return PluginResult(continue_processing=True)  # no modified_payload
-
-        register(signal_only_plugin)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        assert returned.backend_name == "original-backend"
-        assert returned.model_id == "original-model"
diff --git a/test/plugins/test_priority_ordering.py b/test/plugins/test_priority_ordering.py
deleted file mode 100644
index 0450e144f..000000000
--- a/test/plugins/test_priority_ordering.py
+++ /dev/null
@@ -1,483 +0,0 @@
-"""Tests for priority-based hook execution ordering.
-
-Priority rules (actual framework behavior)
---------------------------------------------
-- Lower priority numbers execute FIRST (priority=1 runs before priority=50 before priority=100).
-- Resolution order: PluginSet override > @hook priority > Plugin class priority > 50.
-- Plugin class-level priority is the DEFAULT for methods; @hook(priority=N) overrides it per method.
-- PluginSet.priority OVERRIDES the priority of all items in the set, including items with
-  explicit @hook priorities.
-"""
-
-from __future__ import annotations
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import Plugin, PluginSet, hook, register
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def _session_payload() -> SessionPreInitPayload:
-    return SessionPreInitPayload(
-        backend_name="test-backend", model_id="test-model", model_options=None
-    )
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def cleanup_plugins():
-    """Reset plugin manager state after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# Priority ordering
-# ---------------------------------------------------------------------------
-
-
-class TestPriorityOrdering:
-    """Lower numeric priority values run first."""
-
-    @pytest.mark.asyncio
-    async def test_three_hooks_fire_in_ascending_priority_order(self) -> None:
-        """Hooks at priorities 30, 10, 50 execute in order [10, 30, 50]."""
-        execution_order: list[int] = []
-
-        @hook("session_pre_init", priority=30)
-        async def hook_priority_30(payload, ctx):
-            execution_order.append(30)
-            return None
-
-        @hook("session_pre_init", priority=10)
-        async def hook_priority_10(payload, ctx):
-            execution_order.append(10)
-            return None
-
-        @hook("session_pre_init", priority=50)
-        async def hook_priority_50(payload, ctx):
-            execution_order.append(50)
-            return None
-
-        register(hook_priority_30)
-        register(hook_priority_10)
-        register(hook_priority_50)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order == [10, 30, 50]
-
-    @pytest.mark.asyncio
-    async def test_two_hooks_at_same_priority_both_fire(self) -> None:
-        """Two hooks at the same priority both execute (order unspecified)."""
-        fired: set[str] = set()
-
-        @hook("session_pre_init", priority=50)
-        async def hook_a(payload, ctx):
-            fired.add("a")
-            return None
-
-        @hook("session_pre_init", priority=50)
-        async def hook_b(payload, ctx):
-            fired.add("b")
-            return None
-
-        register(hook_a)
-        register(hook_b)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert fired == {"a", "b"}
-
-    @pytest.mark.asyncio
-    async def test_default_priority_50_fires_after_priority_1_before_priority_100(
-        self,
-    ) -> None:
-        """Default priority (50) fires after priority=1 and before priority=100."""
-        execution_order: list[str] = []
-
-        @hook("session_pre_init", priority=1)
-        async def very_high_priority(payload, ctx):
-            execution_order.append("priority_1")
-            return None
-
-        @hook("session_pre_init")  # default priority=50
-        async def default_priority(payload, ctx):
-            execution_order.append("priority_default")
-            return None
-
-        @hook("session_pre_init", priority=100)
-        async def low_priority(payload, ctx):
-            execution_order.append("priority_100")
-            return None
-
-        register(very_high_priority)
-        register(default_priority)
-        register(low_priority)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order.index("priority_1") < execution_order.index(
-            "priority_default"
-        )
-        assert execution_order.index("priority_default") < execution_order.index(
-            "priority_100"
-        )
-
-    @pytest.mark.asyncio
-    async def test_priority_ordering_is_independent_of_registration_order(self) -> None:
-        """Execution order is determined by priority, not the order hooks are registered."""
-        execution_order: list[str] = []
-
-        # Register high number (low priority) first
-        @hook("session_pre_init", priority=90)
-        async def registered_first_low_priority(payload, ctx):
-            execution_order.append("90")
-            return None
-
-        # Register low number (high priority) second
-        @hook("session_pre_init", priority=10)
-        async def registered_second_high_priority(payload, ctx):
-            execution_order.append("10")
-            return None
-
-        register(registered_first_low_priority)
-        register(registered_second_high_priority)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # priority=10 must run before priority=90 regardless of registration order
-        assert execution_order == ["10", "90"]
-
-    @pytest.mark.asyncio
-    async def test_five_hooks_fire_in_strict_ascending_order(self) -> None:
-        """Five hooks with distinct priorities fire in fully sorted order."""
-        execution_order: list[int] = []
-
-        # Note: each hook must have a unique function name because the plugin registry
-        # uses the function name as an identifier and raises ValueError on duplicates.
-        @hook("session_pre_init", priority=75)
-        async def _h75(payload, ctx):
-            execution_order.append(75)
-            return None
-
-        @hook("session_pre_init", priority=25)
-        async def _h25(payload, ctx):
-            execution_order.append(25)
-            return None
-
-        @hook("session_pre_init", priority=5)
-        async def _h5(payload, ctx):
-            execution_order.append(5)
-            return None
-
-        @hook("session_pre_init", priority=100)
-        async def _h100(payload, ctx):
-            execution_order.append(100)
-            return None
-
-        @hook("session_pre_init", priority=50)
-        async def _h50(payload, ctx):
-            execution_order.append(50)
-            return None
-
-        for h in (_h75, _h25, _h5, _h100, _h50):
-            register(h)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order == [5, 25, 50, 75, 100]
-
-
-# ---------------------------------------------------------------------------
-# Priority inheritance
-# ---------------------------------------------------------------------------
-
-
-class TestPriorityInheritance:
-    """Plugin class-level priority is the default; @hook method priority overrides it."""
-
-    @pytest.mark.asyncio
-    async def test_plugin_class_priority_applies_to_method_without_explicit_priority(
-        self,
-    ) -> None:
-        """A Plugin with priority=5 makes its @hook method (no explicit priority) fire before a default-priority hook."""
-        execution_order: list[str] = []
-
-        class EarlyPlugin(Plugin, name="high-priority-class-plugin", priority=5):
-            @hook(
-                "session_pre_init"
-            )  # no explicit priority — inherits class priority=5
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("class_plugin_p5")
-                return None
-
-        @hook("session_pre_init", priority=50)  # default priority
-        async def default_hook(payload, ctx):
-            execution_order.append("default_p50")
-            return None
-
-        register(EarlyPlugin())
-        register(default_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order.index("class_plugin_p5") < execution_order.index(
-            "default_p50"
-        )
-
-    @pytest.mark.asyncio
-    async def test_hook_decorator_priority_overrides_plugin_class_priority(
-        self,
-    ) -> None:
-        """@hook(priority=80) on a method overrides Plugin(priority=5) on the class.
-
-        The method-level @hook priority takes precedence over the class-level default.
-        So a Plugin(priority=5) method with @hook(priority=80) fires at effective priority=80.
-        """
-        execution_order: list[str] = []
-
-        class PluginWithMethodPriority(
-            Plugin, name="low-effective-priority-plugin", priority=5
-        ):
-            @hook(
-                "session_pre_init", priority=80
-            )  # @hook priority=80 overrides class priority=5
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("method_p80")
-                return None
-
-        @hook("session_pre_init", priority=50)
-        async def mid_hook(payload, ctx):
-            execution_order.append("standalone_p50")
-            return None
-
-        register(PluginWithMethodPriority())
-        register(mid_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # @hook(priority=80) wins over Plugin(priority=5): method fires at priority=80 (after 50)
-        assert execution_order.index("standalone_p50") < execution_order.index(
-            "method_p80"
-        )
-
-    @pytest.mark.asyncio
-    async def test_class_plugin_priority_lower_number_fires_before_higher_number(
-        self,
-    ) -> None:
-        """Two @plugin classes with different priorities fire in the correct order."""
-        execution_order: list[str] = []
-
-        class FirstPlugin(Plugin, name="plugin-priority-3", priority=3):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("plugin_p3")
-                return None
-
-        class SecondPlugin(Plugin, name="plugin-priority-99", priority=99):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("plugin_p99")
-                return None
-
-        register(FirstPlugin())
-        register(SecondPlugin())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order == ["plugin_p3", "plugin_p99"]
-
-    @pytest.mark.asyncio
-    async def test_method_priority_overrides_class_priority(self) -> None:
-        """@hook method priority overrides the class-level default.
-
-        Plugin(priority=100) with @hook(priority=10) fires at effective priority=10.
-        Plugin(priority=1) with @hook(priority=90) fires at effective priority=90.
-        So the first plugin fires before the second, despite its class priority being higher.
-        """
-        execution_order: list[str] = []
-
-        class PluginA(Plugin, name="multi-method-plugin-low-class", priority=100):
-            @hook(
-                "session_pre_init", priority=10
-            )  # method priority=10 overrides class=100
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("plugin_a_effective_p10")
-                return None
-
-        class PluginB(Plugin, name="multi-method-plugin-high-class", priority=1):
-            @hook(
-                "session_pre_init", priority=90
-            )  # method priority=90 overrides class=1
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("plugin_b_effective_p90")
-                return None
-
-        register(PluginA())
-        register(PluginB())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # effective priorities are 10 and 90; PluginA fires first despite class priority=100
-        assert execution_order == ["plugin_a_effective_p10", "plugin_b_effective_p90"]
-
-
-# ---------------------------------------------------------------------------
-# PluginSet priority
-# ---------------------------------------------------------------------------
-
-
-class TestPluginSetPriority:
-    """PluginSet.priority sets the default priority for items without their own @hook priority."""
-
-    @pytest.mark.asyncio
-    async def test_pluginset_priority_applied_to_items_without_own_priority(
-        self,
-    ) -> None:
-        """Items in a PluginSet with priority=10 fire before an outside hook at priority=50."""
-        execution_order: list[str] = []
-
-        @hook(
-            "session_pre_init"
-        )  # @hook default priority=50; PluginSet will override to 10
-        async def inside_set(payload, ctx):
-            execution_order.append("inside_set")
-            return None
-
-        @hook("session_pre_init", priority=50)
-        async def outside_hook(payload, ctx):
-            execution_order.append("outside_hook")
-            return None
-
-        ps = PluginSet("high-priority-set", [inside_set], priority=10)
-        register(ps)
-        register(outside_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order.index("inside_set") < execution_order.index(
-            "outside_hook"
-        )
-
-    @pytest.mark.asyncio
-    async def test_pluginset_priority_overrides_per_item_hook_priority(self) -> None:
-        """PluginSet priority overrides the item's @hook priority, even when the item has an explicit one.
-
-        An item decorated with @hook(priority=80) placed in a PluginSet(priority=5)
-        fires at effective priority=5, not 80. The PluginSet priority always wins.
-        """
-        execution_order: list[str] = []
-
-        @hook(
-            "session_pre_init", priority=80
-        )  # @hook priority is overridden by PluginSet(priority=5)
-        async def item_with_own_priority(payload, ctx):
-            execution_order.append("item_effective_p5")
-            return None
-
-        @hook("session_pre_init", priority=20)
-        async def standalone_hook(payload, ctx):
-            execution_order.append("standalone_p20")
-            return None
-
-        # PluginSet(priority=5) overrides the item's @hook(priority=80)
-        # so the item fires at effective priority=5 (before standalone_p20=20)
-        ps = PluginSet("low-priority-set", [item_with_own_priority], priority=5)
-        register(ps)
-        register(standalone_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # item fires at PluginSet priority=5, which is before standalone_p20=20
-        assert execution_order.index("item_effective_p5") < execution_order.index(
-            "standalone_p20"
-        )
-
-    @pytest.mark.asyncio
-    async def test_pluginset_without_priority_uses_item_own_priority(self) -> None:
-        """PluginSet with no priority (None) does not override the item's @hook priority."""
-        execution_order: list[str] = []
-
-        @hook("session_pre_init", priority=15)
-        async def item_own_p15(payload, ctx):
-            execution_order.append("item_p15")
-            return None
-
-        @hook("session_pre_init", priority=60)
-        async def standalone_p60(payload, ctx):
-            execution_order.append("standalone_p60")
-            return None
-
-        ps = PluginSet("no-priority-set", [item_own_p15])  # priority=None
-        register(ps)
-        register(standalone_p60)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order.index("item_p15") < execution_order.index(
-            "standalone_p60"
-        )
-
-    @pytest.mark.asyncio
-    async def test_nested_pluginsets_honour_inner_set_priority(self) -> None:
-        """In a nested PluginSet, the inner set's priority governs its items."""
-        execution_order: list[str] = []
-
-        @hook("session_pre_init")
-        async def inner_item(payload, ctx):
-            execution_order.append("inner")
-            return None
-
-        @hook("session_pre_init")
-        async def outer_only_item(payload, ctx):
-            execution_order.append("outer")
-            return None
-
-        inner_ps = PluginSet("inner", [inner_item], priority=5)
-        outer_ps = PluginSet("outer", [inner_ps, outer_only_item], priority=70)
-
-        register(outer_ps)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # inner_item gets priority=5 (inner set); outer_only_item gets priority=70 (outer set)
-        assert execution_order.index("inner") < execution_order.index("outer")
-
-    @pytest.mark.asyncio
-    async def test_multiple_pluginsets_fire_in_set_priority_order(self) -> None:
-        """Items from a lower-priority PluginSet fire before items from a higher-priority one."""
-        execution_order: list[str] = []
-
-        @hook("session_pre_init")
-        async def alpha(payload, ctx):
-            execution_order.append("alpha")
-            return None
-
-        @hook("session_pre_init")
-        async def beta(payload, ctx):
-            execution_order.append("beta")
-            return None
-
-        # alpha is in a set with priority=3 (fires first), beta in priority=80 (fires later)
-        ps_early = PluginSet("early-set", [alpha], priority=3)
-        ps_late = PluginSet("late-set", [beta], priority=80)
-
-        register(ps_early)
-        register(ps_late)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order == ["alpha", "beta"]
diff --git a/test/plugins/test_scoping.py b/test/plugins/test_scoping.py
deleted file mode 100644
index cf22f7107..000000000
--- a/test/plugins/test_scoping.py
+++ /dev/null
@@ -1,616 +0,0 @@
-"""Tests for plugin scoping: session-scoped and with-block-scoped."""
-
-from typing import Any
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import Plugin, PluginSet, hook, plugin_scope, register
-from mellea.plugins.base import MelleaPlugin, PluginResult
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import (
-    deregister_session_plugins,
-    invoke_hook,
-    shutdown_plugins,
-)
-from mellea.plugins.types import HookType
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    """Reset the plugin manager to a clean state after every test."""
-    yield
-    await shutdown_plugins()
-
-
-def _payload() -> SessionPreInitPayload:
-    return SessionPreInitPayload(
-        backend_name="test-backend", model_id="test-model", model_options=None
-    )
-
-
-# ---------------------------------------------------------------------------
-# Session-scoped plugins
-# ---------------------------------------------------------------------------
-
-
-class TestSessionScopedPlugins:
-    """Plugins registered via ``register(..., session_id=sid)``."""
-
-    async def test_fires_while_session_active(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        register(my_hook, session_id="s1")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    async def test_deregistered_after_session_cleanup(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        register(my_hook, session_id="s-cleanup")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-        deregister_session_plugins("s-cleanup")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new invocations after cleanup
-
-    async def test_global_plugin_unaffected_by_session_cleanup(self) -> None:
-        """Deregistering a session should leave globally registered plugins intact."""
-        global_calls = []
-        session_calls = []
-
-        @hook("session_pre_init")
-        async def global_hook(payload, ctx):
-            global_calls.append(payload)
-            return None
-
-        @hook("session_pre_init")
-        async def session_hook(payload, ctx):
-            session_calls.append(payload)
-            return None
-
-        register(global_hook)
-        register(session_hook, session_id="s-isolated")
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(global_calls) == 1
-        assert len(session_calls) == 1
-
-        deregister_session_plugins("s-isolated")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(global_calls) == 2  # Still firing
-        assert len(session_calls) == 1  # Stopped
-
-    async def test_deregister_unknown_session_is_noop(self) -> None:
-        """Deregistering a session ID that was never registered does not raise."""
-        deregister_session_plugins("never-registered-session-xyz")
-
-    async def test_class_plugin_session_scoped(self) -> None:
-        invocations = []
-
-        class MyPlugin(Plugin, name="cls-session-plugin"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append(payload)
-                return None
-
-        register(MyPlugin(), session_id="s-class")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-        deregister_session_plugins("s-class")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # Stopped
-
-    async def test_pluginset_session_scoped(self) -> None:
-        """PluginSet items honour session-scoped deregistration when passed to register()."""
-        invocations = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            invocations.append("a")
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            invocations.append("b")
-            return None
-
-        register(PluginSet("ps-session", [hook_a, hook_b]), session_id="s-ps")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert "a" in invocations
-        assert "b" in invocations
-
-        count_before = len(invocations)
-        deregister_session_plugins("s-ps")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == count_before  # No new calls
-
-    async def test_two_sessions_deregistered_independently(self) -> None:
-        calls_a = []
-        calls_b = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-            return None
-
-        register(hook_a, session_id="session-A")
-        register(hook_b, session_id="session-B")
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-        # End session A — hook_b should still fire
-        deregister_session_plugins("session-A")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1  # Stopped
-        assert len(calls_b) == 2  # Still firing
-
-        # End session B — everything silent
-        deregister_session_plugins("session-B")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 2
-
-
-# ---------------------------------------------------------------------------
-# PluginSet as a context manager
-# ---------------------------------------------------------------------------
-
-
-class TestPluginSetContextManager:
-    async def test_fires_inside_with_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with PluginSet("ctx-basic", [my_hook]):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_deregistered_after_with_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with PluginSet("ctx-cleanup", [my_hook]):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        # Outside the block
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new calls
-
-    async def test_deregistered_on_exception(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        ps = PluginSet("ctx-exc", [my_hook])
-        with pytest.raises(ValueError):
-            with ps:
-                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-                assert len(invocations) == 1
-                raise ValueError("deliberate error")
-
-        # Plugin must be deregistered despite the exception
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    def test_scope_id_cleared_after_exit(self) -> None:
-        """_scope_id is reset to None once __exit__ is called."""
-        # We need to check state change but __enter__ requires the framework —
-        # just verify the initial state here; integration validated by other tests.
-        ps = PluginSet("state-check", [])
-        assert ps._scope_id is None
-
-    async def test_raises_on_reentrant_use_of_same_instance(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        ps = PluginSet("reentrant", [my_hook])
-        with ps:
-            with pytest.raises(RuntimeError, match="already active"):
-                with ps:
-                    pass
-
-    async def test_async_with_fires_inside_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        async with PluginSet("async-ctx", [my_hook]):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_async_with_deregisters_after_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        async with PluginSet("async-cleanup", [my_hook]):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    async def test_nested_different_instances(self) -> None:
-        """Two different PluginSet instances can be nested."""
-        invocations = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            invocations.append("a")
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            invocations.append("b")
-            return None
-
-        ps_a = PluginSet("set-a", [hook_a])
-        ps_b = PluginSet("set-b", [hook_b])
-
-        with ps_a:
-            with ps_b:
-                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-                # Both hooks should have fired
-                assert "a" in invocations
-                assert "b" in invocations
-
-            # ps_b exited — only hook_a should remain
-            invocations.clear()
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-            assert invocations == ["a"]
-
-        # ps_a exited — no hooks remain
-        invocations.clear()
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert invocations == []
-
-    async def test_scope_id_set_on_enter_and_cleared_on_exit(self) -> None:
-        ps = PluginSet("state-lifecycle", [])
-        assert ps._scope_id is None
-        with ps:
-            assert ps._scope_id is not None
-        assert ps._scope_id is None
-
-    async def test_reuse_after_exit(self) -> None:
-        """The same PluginSet instance can be entered again after a previous exit."""
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        ps = PluginSet("reuse-after-exit", [my_hook])
-
-        with ps:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        # After first scope is closed, a second entry should work
-        with ps:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 2
-
-
-# ---------------------------------------------------------------------------
-# plugin_scope() context manager
-# ---------------------------------------------------------------------------
-
-
-class TestPluginScopeContextManager:
-    async def test_standalone_hook_fires_inside_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with plugin_scope(my_hook):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_deregistered_after_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with plugin_scope(my_hook):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new calls outside the block
-
-    async def test_deregistered_on_exception(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with pytest.raises(RuntimeError):
-            with plugin_scope(my_hook):
-                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-                assert len(invocations) == 1
-                raise RuntimeError("deliberate")
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # Deregistered despite the exception
-
-    async def test_class_plugin_fires_and_deregisters(self) -> None:
-        invocations = []
-
-        class MyPlugin(Plugin, name="scope-cls-plugin"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append(payload)
-                return None
-
-        with plugin_scope(MyPlugin()):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # Stopped
-
-    async def test_pluginset_fires_and_deregisters(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            invocations.append("a")
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            invocations.append("b")
-            return None
-
-        ps = PluginSet("scope-ps", [hook_a, hook_b])
-        with plugin_scope(ps):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert "a" in invocations
-        assert "b" in invocations
-
-        count_before = len(invocations)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == count_before
-
-    async def test_mixed_items(self) -> None:
-        """plugin_scope accepts standalone hooks, class plugins, and PluginSets together."""
-        invocations = []
-
-        @hook("session_pre_init")
-        async def standalone(payload, ctx):
-            invocations.append("standalone")
-            return None
-
-        class ClassPlugin(Plugin, name="scope-mixed-cls"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append("class")
-                return None
-
-        @hook("session_pre_init")
-        async def in_set(payload, ctx):
-            invocations.append("in_set")
-            return None
-
-        ps = PluginSet("scope-inner-set", [in_set])
-        with plugin_scope(standalone, ClassPlugin(), ps):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert "standalone" in invocations
-        assert "class" in invocations
-        assert "in_set" in invocations
-
-        count_before = len(invocations)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == count_before  # All deregistered
-
-    async def test_async_with_fires_inside_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        async with plugin_scope(my_hook):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_async_with_deregisters_after_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        async with plugin_scope(my_hook):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    async def test_sequential_scopes_are_independent(self) -> None:
-        """Two consecutive plugin_scope blocks use separate scope IDs and don't interfere."""
-        calls_a = []
-        calls_b = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-            return None
-
-        with plugin_scope(hook_a):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        with plugin_scope(hook_b):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-    async def test_empty_plugin_scope_is_noop(self) -> None:
-        """plugin_scope with no items enters and exits without error."""
-        with plugin_scope():
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        # No assertion needed — just verifying no exception is raised
-
-
-# ---------------------------------------------------------------------------
-# MelleaPlugin as a context manager
-# ---------------------------------------------------------------------------
-
-
-def _make_mellea_plugin(invocations: list) -> Plugin:
-    """Build a minimal concrete MelleaPlugin that records session_pre_init calls."""
-
-    class _TrackingPlugin(Plugin, name="tracking-plugin"):
-        @hook(hook_type=HookType.SESSION_PRE_INIT)
-        async def session_pre_init(self, payload: Any, context: Any):
-            invocations.append(payload)
-            return PluginResult(continue_processing=True)
-
-    return _TrackingPlugin()
-
-
-class TestMelleaPluginContextManager:
-    async def test_fires_inside_with_block(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_deregistered_after_with_block(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new calls outside the block
-
-    async def test_deregistered_on_exception(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with pytest.raises(ValueError):
-            with p:
-                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-                assert len(invocations) == 1
-                raise ValueError("deliberate")
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # Deregistered despite the exception
-
-    async def test_raises_on_reentrant_use(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with p:
-            with pytest.raises(RuntimeError, match="already active"):
-                with p:
-                    pass
-
-    async def test_scope_id_set_on_enter_and_cleared_on_exit(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        assert getattr(p, "_scope_id", None) is None
-        with p:
-            assert getattr(p, "_scope_id", None) is not None
-        assert getattr(p, "_scope_id", None) is None
-
-    async def test_reuse_after_exit(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 2
-
-    async def test_async_with_fires_inside_block(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        async with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_async_with_deregisters_after_block(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        async with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
diff --git a/test/plugins/test_tool_hooks_redaction.py b/test/plugins/test_tool_hooks_redaction.py
deleted file mode 100644
index 96e2aac73..000000000
--- a/test/plugins/test_tool_hooks_redaction.py
+++ /dev/null
@@ -1,235 +0,0 @@
-"""Unit tests verifying that tool hooks can redact sensitive data:
-
-- TOOL_PRE_INVOKE: replace model_tool_call.args before the tool runs
-- TOOL_POST_INVOKE: replace tool_output after the tool runs
-
-No LLM is required — the test constructs a ModelOutputThunk directly with a
-pre-built tool_calls dict and exercises _acall_tools in isolation.
-"""
-
-from __future__ import annotations
-
-import dataclasses
-from typing import Any
-from unittest.mock import MagicMock
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.core.base import AbstractMelleaTool, ModelOutputThunk, ModelToolCall
-from mellea.plugins import PluginResult, hook, register
-from mellea.plugins.manager import shutdown_plugins
-from mellea.plugins.types import HookType
-from mellea.stdlib.functional import _acall_tools
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-class _RecordingTool(AbstractMelleaTool):
-    """A tool that records the kwargs it was invoked with."""
-
-    name = "sensitive_tool"
-
-    def __init__(self) -> None:
-        self.calls: list[dict[str, Any]] = []
-
-    def run(self, **kwargs: Any) -> str:
-        self.calls.append(dict(kwargs))
-        return f"ran with {kwargs}"
-
-    @property
-    def as_json_tool(self) -> dict[str, Any]:
-        return {"name": self.name, "description": "recording tool", "parameters": {}}
-
-
-def _make_result(tool_call: ModelToolCall) -> ModelOutputThunk:
-    """Wrap a single ModelToolCall in a minimal ModelOutputThunk."""
-    mot = MagicMock(spec=ModelOutputThunk)
-    mot.tool_calls = {tool_call.name: tool_call}
-    return mot
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# Tests
-# ---------------------------------------------------------------------------
-
-
-class TestToolArgRedactionViaHook:
-    """A tool_pre_invoke hook that modifies model_tool_call.args causes the
-    tool to be invoked with the redacted arguments."""
-
-    async def test_hook_redacts_sensitive_arg(self) -> None:
-        """Hook replaces a sensitive arg value; the ToolMessage reflects the redacted value."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool",
-            func=recording_tool,
-            args={"user_input": "my secret password", "limit": 10},
-        )
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_PRE_INVOKE)
-        async def redact_password(payload, *_):
-            mtc = payload.model_tool_call
-            redacted_args = {**mtc.args, "user_input": "[REDACTED]"}
-            new_call = dataclasses.replace(mtc, args=redacted_args)
-            modified = payload.model_copy(update={"model_tool_call": new_call})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(redact_password)
-
-        tool_messages = await _acall_tools(result, MagicMock())
-
-        assert len(tool_messages) == 1
-        assert "[REDACTED]" in tool_messages[0].content
-        assert "my secret password" not in tool_messages[0].content
-
-    async def test_hook_receives_original_args_in_payload(self) -> None:
-        """The hook payload contains the original (un-redacted) args."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"token": "abc123"}
-        )
-        result = _make_result(original_call)
-
-        observed_args: list[dict] = []
-
-        @hook(HookType.TOOL_PRE_INVOKE)
-        async def capture_payload(payload, *_):
-            observed_args.append(dict(payload.model_tool_call.args))
-
-        register(capture_payload)
-
-        await _acall_tools(result, MagicMock())
-
-        assert len(observed_args) == 1
-        assert observed_args[0]["token"] == "abc123"
-
-    async def test_no_hook_modification_leaves_args_unchanged(self) -> None:
-        """When the hook returns None the original args are used unchanged."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"value": "keep-me"}
-        )
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_PRE_INVOKE)
-        async def observe_only(*_):
-            return None  # no modification
-
-        register(observe_only)
-
-        await _acall_tools(result, MagicMock())
-
-        assert recording_tool.calls[0]["value"] == "keep-me"
-
-    async def test_hook_can_redact_multiple_fields(self) -> None:
-        """A hook that redacts several fields; all redacted values appear in the output."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool",
-            func=recording_tool,
-            args={"ssn": "123-45-6789", "email": "user@example.com", "count": 3},
-        )
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_PRE_INVOKE)
-        async def redact_pii(payload, *_):
-            mtc = payload.model_tool_call
-            redacted_args = {**mtc.args, "ssn": "[REDACTED]", "email": "[REDACTED]"}
-            new_call = dataclasses.replace(mtc, args=redacted_args)
-            modified = payload.model_copy(update={"model_tool_call": new_call})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(redact_pii)
-
-        tool_messages = await _acall_tools(result, MagicMock())
-
-        assert len(tool_messages) == 1
-        assert "123-45-6789" not in tool_messages[0].content
-        assert "user@example.com" not in tool_messages[0].content
-        assert "[REDACTED]" in tool_messages[0].content
-
-
-class TestToolOutputRedactionViaHook:
-    """A tool_post_invoke hook that modifies tool_output causes the ToolMessage
-    content to reflect the redacted value."""
-
-    async def test_hook_redacts_sensitive_output(self) -> None:
-        """Hook replaces tool_output; ToolMessage content reflects the redacted value."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"query": "user profile"}
-        )
-        # The tool returns a string containing a secret token.
-        recording_tool.run = lambda **_: "token=supersecret,role=admin"  # type: ignore[method-assign]
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_POST_INVOKE)
-        async def redact_token(payload, *_):
-            redacted = str(payload.tool_output).replace("supersecret", "[REDACTED]")
-            modified = payload.model_copy(update={"tool_output": redacted})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(redact_token)
-
-        tool_messages = await _acall_tools(result, MagicMock())
-
-        assert len(tool_messages) == 1
-        assert "supersecret" not in tool_messages[0].content
-        assert "[REDACTED]" in tool_messages[0].content
-
-    async def test_hook_receives_raw_output_in_payload(self) -> None:
-        """The hook payload contains the un-redacted tool output."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"query": "data"}
-        )
-        recording_tool.run = lambda **_: "password=hunter2"  # type: ignore[method-assign]
-        result = _make_result(original_call)
-
-        observed_outputs: list[str] = []
-
-        @hook(HookType.TOOL_POST_INVOKE)
-        async def capture_output(payload, *_):
-            observed_outputs.append(str(payload.tool_output))
-
-        register(capture_output)
-
-        await _acall_tools(result, MagicMock())
-
-        assert len(observed_outputs) == 1
-        assert "password=hunter2" in observed_outputs[0]
-
-    async def test_no_hook_modification_leaves_output_unchanged(self) -> None:
-        """When the hook returns None the original tool output is used unchanged."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"query": "safe"}
-        )
-        recording_tool.run = lambda **_: "safe result"  # type: ignore[method-assign]
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_POST_INVOKE)
-        async def observe_only(*_):
-            return None
-
-        register(observe_only)
-
-        tool_messages = await _acall_tools(result, MagicMock())
-
-        assert tool_messages[0].content == "safe result"
diff --git a/test/plugins/test_unregister.py b/test/plugins/test_unregister.py
deleted file mode 100644
index 5b5304359..000000000
--- a/test/plugins/test_unregister.py
+++ /dev/null
@@ -1,223 +0,0 @@
-"""Tests for the ``unregister()`` public API."""
-
-from typing import Any
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import Plugin, PluginSet, hook, register, unregister
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    yield
-    await shutdown_plugins()
-
-
-def _payload() -> SessionPreInitPayload:
-    return SessionPreInitPayload(
-        backend_name="test-backend", model_id="test-model", model_options=None
-    )
-
-
-# ---------------------------------------------------------------------------
-# Standalone @hook functions
-# ---------------------------------------------------------------------------
-
-
-class TestUnregisterStandaloneHook:
-    async def test_hook_stops_firing_after_unregister(self) -> None:
-        invocations: list[Any] = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-
-        register(my_hook)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-        unregister(my_hook)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new calls after unregister
-
-    async def test_other_hooks_unaffected(self) -> None:
-        """Unregistering one hook leaves other registered hooks intact."""
-        calls_a: list[Any] = []
-        calls_b: list[Any] = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-
-        register(hook_a)
-        register(hook_b)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-        unregister(hook_a)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1  # Stopped
-        assert len(calls_b) == 2  # Still firing
-
-    async def test_unregister_not_registered_is_noop(self) -> None:
-        """Unregistering a hook that was never registered does not raise."""
-
-        @hook("session_pre_init")
-        async def never_registered(payload, ctx):
-            pass
-
-        unregister(never_registered)  # Should not raise
-
-    async def test_unregister_list_of_hooks(self) -> None:
-        calls_a: list[Any] = []
-        calls_b: list[Any] = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-
-        register(hook_a)
-        register(hook_b)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-        unregister([hook_a, hook_b])
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-
-# ---------------------------------------------------------------------------
-# Plugin subclass instances
-# ---------------------------------------------------------------------------
-
-
-class TestUnregisterClassPlugin:
-    async def test_class_plugin_stops_firing_after_unregister(self) -> None:
-        invocations: list[Any] = []
-
-        class MyPlugin(Plugin, name="unregister-cls-test"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append(payload)
-
-        instance = MyPlugin()
-        register(instance)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-        unregister(instance)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    async def test_unregister_class_plugin_leaves_standalone_hook_intact(self) -> None:
-        standalone_calls: list[Any] = []
-        class_calls: list[Any] = []
-
-        @hook("session_pre_init")
-        async def standalone(payload, ctx):
-            standalone_calls.append(payload)
-
-        class MyPlugin(Plugin, name="unregister-cls-isolation"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                class_calls.append(payload)
-
-        instance = MyPlugin()
-        register(standalone)
-        register(instance)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(standalone_calls) == 1
-        assert len(class_calls) == 1
-
-        unregister(instance)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(standalone_calls) == 2  # Still firing
-        assert len(class_calls) == 1  # Stopped
-
-
-# ---------------------------------------------------------------------------
-# PluginSet
-# ---------------------------------------------------------------------------
-
-
-class TestUnregisterPluginSet:
-    async def test_pluginset_all_items_stop_firing(self) -> None:
-        calls_a: list[Any] = []
-        calls_b: list[Any] = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-
-        ps = PluginSet("unregister-ps-test", [hook_a, hook_b])
-        register(ps)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-        unregister(ps)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-    async def test_unregister_pluginset_leaves_other_plugins_intact(self) -> None:
-        ps_calls: list[Any] = []
-        other_calls: list[Any] = []
-
-        @hook("session_pre_init")
-        async def in_set(payload, ctx):
-            ps_calls.append(payload)
-
-        @hook("session_pre_init")
-        async def other(payload, ctx):
-            other_calls.append(payload)
-
-        ps = PluginSet("unregister-ps-isolation", [in_set])
-        register(ps)
-        register(other)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(ps_calls) == 1
-        assert len(other_calls) == 1
-
-        unregister(ps)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(ps_calls) == 1  # Stopped
-        assert len(other_calls) == 2  # Still firing
-
-
-# ---------------------------------------------------------------------------
-# Error handling
-# ---------------------------------------------------------------------------
-
-
-class TestUnregisterErrors:
-    async def test_unregister_unrecognized_type_raises_type_error(self) -> None:
-        # Initialize the plugin manager by registering something first.
-        @hook("session_pre_init")
-        async def dummy(payload, ctx):
-            pass
-
-        register(dummy)
-
-        with pytest.raises(TypeError, match="Cannot unregister"):
-            unregister(object())  # type: ignore[arg-type]
diff --git a/uv.lock b/uv.lock
index 620271694..13c79e07a 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,33 +2,24 @@ version = 1
 revision = 3
 requires-python = ">=3.11"
 resolution-markers = [
-    "python_full_version >= '3.14' and python_full_version < '4'",
-    "python_full_version >= '4' and sys_platform == 'darwin'",
-    "python_full_version == '3.13.*' and sys_platform == 'darwin'",
-    "python_full_version >= '4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version >= '4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '4' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "(python_full_version == '3.13.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
-    "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version == '3.12.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.12.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version < '3.12' and sys_platform == 'darwin'",
-    "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version < '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
+    "python_full_version == '3.12.*'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
 name = "absl-py"
-version = "2.3.1"
+version = "2.4.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/10/2a/c93173ffa1b39c1d0395b7e842bbdc62e556ca9d8d3b5572926f3e4ca752/absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9", size = 116588, upload-time = "2025-07-03T09:31:44.05Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload-time = "2026-01-28T10:17:05.322Z" }
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-    { name = "pyyaml", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
+    { name = "interegular" },
+    { name = "packaging" },
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@@ -3869,7 +3937,8 @@ dev = [
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+provides-extras = ["hf", "vllm", "litellm", "watsonx", "tools", "telemetry", "docling", "granite-retriever", "server", "sandbox", "backends", "all"]
 
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