From 520142d945d5c3c23369c866cf0f6c25cec68014 Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Wed, 15 Jul 2026 12:21:14 +0200 Subject: [PATCH 01/12] first tests of openai integration --- Justfile | 4 ++ ai-tests/README.md | 51 ++++++++++++++++++++++ ai-tests/openai_service.py | 69 ++++++++++++++++++++++++++++++ ai-tests/test_openai.py | 87 ++++++++++++++++++++++++++++++++++++++ pyproject.toml | 1 + 5 files changed, 212 insertions(+) create mode 100644 ai-tests/README.md create mode 100644 ai-tests/openai_service.py create mode 100644 ai-tests/test_openai.py diff --git a/Justfile b/Justfile index 49e2442..c8c759e 100644 --- a/Justfile +++ b/Justfile @@ -32,6 +32,10 @@ typecheck: typecheck-pyright typecheck-mypy test: uv run -m pytest tests/* +# AI integration tests (needs docker + OPENAI_API_KEY). +test-ai: + uv run -m pytest ai-tests/ -v + # Recipe to run both mypy and pylint verify: format lint typecheck test diff --git a/ai-tests/README.md b/ai-tests/README.md new file mode 100644 index 0000000..8c5a60b --- /dev/null +++ b/ai-tests/README.md @@ -0,0 +1,51 @@ +# AI integration tests + +End-to-end tests for the AI SDK integrations that live in this repo +(`restate.ext.*`). They run the integration against a **real** restate-server +and make **real (cheap) LLM calls**. + +The goal is to catch, when an upstream agent SDK (or this SDK) is bumped: + +- **journal mismatches / non-determinism** (Restate error `RT0016`), +- **infinite error/retry loops**, +- interference between concurrent invocations (turnstile / session state). + +## What is covered (v1) + +Integration: **openai-agents** only (see `openai_service.py`). + +| Axis | Values | +| ----------- | --------------------------------------------------- | +| Protocol | HTTP/1.1 (suspends per await) and HTTP/2 (streaming) | +| Replay | forced replay on every suspension point | +| Retries | disabled (a mismatch fails fast instead of looping) | +| Concurrency | 20 invocations on distinct keys; 5 on a shared key | + +Detection is deliberately simple: with `disable_retries=True`, a journal +mismatch (Restate error `RT0016`) fails the invocation, so the awaiting +`object_call` raises and the test fails. Retries being off also means an +"infinite error scenario" surfaces as a single fast failure instead of a loop. + +## Running locally + +Requires Docker and an OpenAI API key. Without the key the tests **fail** (they +are meaningless without a real model, so a missing key is a hard error, not a skip). + +```shell +export OPENAI_API_KEY=sk-... +just test-ai +# or: uv run -m pytest ai-tests/ -v +``` + +These tests are **not** part of `just test` / `just verify`, and +run in CI only via the `AI Integration` workflow (nightly + manual dispatch). + +## Extending + +- **New integration:** add `_service.py` (mirroring an app from + restatedev/ai-examples) and `test_.py`, reusing `ai_harness`. + Keep each integration's deps isolated once more than one is in play. +- **More scenarios:** human-in-the-loop / awakeables, multi-agent handoff, + failure injection (kill the service mid-invocation), higher concurrency (100). +- **Upstream-version matrix:** run against `openai-agents@latest` etc. to catch + breakage ahead of a pin bump. diff --git a/ai-tests/openai_service.py b/ai-tests/openai_service.py new file mode 100644 index 0000000..e19d48e --- /dev/null +++ b/ai-tests/openai_service.py @@ -0,0 +1,69 @@ +# +# Copyright (c) 2023-2025 - Restate Software, Inc., Restate GmbH +# +# This file is part of the Restate SDK for Python, +# which is released under the MIT license. +# +# You can find a copy of the license in file LICENSE in the root +# directory of this repository or package, or at +# https://github.com/restatedev/sdk-typescript/blob/main/LICENSE +# +""" +A minimal OpenAI-agents service used by the AI integration tests. + +It mirrors the shape of the `openai-agents` examples in restatedev/ai-examples: +a Virtual Object whose handler runs a tool-calling agent through Restate's +``DurableRunner`` with a durable session. This exercises the surfaces most +likely to break on an upstream ``openai-agents`` bump: LLM-call journaling, +durable tool execution and session-state (de)serialization across replay. +""" + +import restate +from restate import ObjectContext + +from agents import Agent +from restate.ext.openai import DurableRunner, durable_function_tool + +# A cheap model keeps cost negligible while still producing genuinely +# non-deterministic output, which is exactly what surfaces replay bugs. +MODEL = "gpt-4o-mini" + + +@durable_function_tool +async def get_weather(city: str) -> str: + """Get the current weather for a given city. + + Args: + city: The city to get the weather for. + """ + return f"The weather in {city} is sunny and 22 degrees Celsius." + + +agent = Agent( + name="Assistant", + instructions=( + "You are a concise assistant. When the user asks about the weather you MUST " + "call the get_weather tool. Answer in one short sentence." + ), + model=MODEL, + tools=[get_weather], +) + + +agent_object = restate.VirtualObject("AgentObject") + + +@agent_object.handler() +async def message(ctx: ObjectContext, prompt: str) -> str: + """Send a single message to the agent, persisting conversation history.""" + result = await DurableRunner.run( + agent, + prompt, + use_restate_session=True, + ) + return str(result.final_output) + + +def app(): + """Build the Restate ASGI app for this service.""" + return restate.app([agent_object]) diff --git a/ai-tests/test_openai.py b/ai-tests/test_openai.py new file mode 100644 index 0000000..d3db2c7 --- /dev/null +++ b/ai-tests/test_openai.py @@ -0,0 +1,87 @@ +# +# Copyright (c) 2023-2025 - Restate Software, Inc., Restate GmbH +# +# This file is part of the Restate SDK for Python, +# which is released under the MIT license. +# +# You can find a copy of the license in file LICENSE in the root +# directory of this repository or package, or at +# https://github.com/restatedev/sdk-typescript/blob/main/LICENSE +# +""" +AI integration tests + +Each test spins up a restate-server (via ``restate.create_test_harness``), +serves the `openai_service` app, and drives it with real OpenAI calls. + +``disable_retries=True`` makes a journal mismatch / non-determinism fail the +invocation (and thus the test) instead of looping. ``always_replay=True`` forces +a suspend/replay on every await -- the HTTP/1.1-style path -- which is what +surfaces non-determinism bugs. +""" +import os +import asyncio +import restate +import pytest + +import openai_service +from openai_service import message + +# ----- Asyncio fixtures ----- + +@pytest.fixture(scope="session") +def anyio_backend(): + return "asyncio" + + +@pytest.fixture(autouse=True) +def require_openai_key(): + """Fail (do not skip) the AI integration tests when no real OpenAI key is set. + + These tests are meaningless without a real model, so a missing key is treated + as a hard failure rather than a silent skip. + """ + if not os.environ.get("OPENAI_API_KEY"): + pytest.fail( + "OPENAI_API_KEY is not set; the AI integration tests require a real OpenAI key.", + pytrace=False, + ) + + +# ----- Tests ----- + +async def test_agent_tool_call_replays_cleanly(): + """A single tool-calling turn completes and replays without a journal mismatch.""" + async with restate.create_test_harness( + openai_service.app(), + disable_retries=True, + always_replay=True, + ) as h: + out = await h.client.object_call(message, key="user-1", arg="What is the weather in Paris?") + assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" + + +async def test_multi_turn_session(): + """Session state persists across turns (and survives replay).""" + async with restate.create_test_harness( + openai_service.app(), + disable_retries=True, + always_replay=True, + ) as h: + await h.client.object_call(message, key="u", arg="My name is Ada. Remember it.") + out = await h.client.object_call(message, key="u", arg="What is my name?") + assert "ada" in out.lower(), f"session did not persist the name: {out!r}" + + +async def test_concurrent_distinct_keys(): + """Many invocations in parallel on distinct keys don't interfere.""" + async with restate.create_test_harness( + openai_service.app(), + disable_retries=True, + ) as h: + n = 20 + results = await asyncio.gather( + *[h.client.object_call(message, key=f"user-{i}", arg="Reply with exactly: OK") for i in range(n)] + ) + assert len(results) == n + assert all(isinstance(r, str) and r.strip() for r in results) \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 4abf86e..6f3cd0f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -52,6 +52,7 @@ include = [ "examples/**/*.py", "tests/**/*.py", "test-services//**/*.py", + "ai-tests/**/*.py", ] [tool.ruff.lint] From 609c70c851c7294c38f0a956d4eb75458306a747 Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Wed, 15 Jul 2026 13:59:01 +0200 Subject: [PATCH 02/12] durable tool step --- ai-tests/openai_service.py | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) diff --git a/ai-tests/openai_service.py b/ai-tests/openai_service.py index e19d48e..d034fa7 100644 --- a/ai-tests/openai_service.py +++ b/ai-tests/openai_service.py @@ -10,19 +10,13 @@ # """ A minimal OpenAI-agents service used by the AI integration tests. - -It mirrors the shape of the `openai-agents` examples in restatedev/ai-examples: -a Virtual Object whose handler runs a tool-calling agent through Restate's -``DurableRunner`` with a durable session. This exercises the surfaces most -likely to break on an upstream ``openai-agents`` bump: LLM-call journaling, -durable tool execution and session-state (de)serialization across replay. """ - +import uuid import restate from restate import ObjectContext from agents import Agent -from restate.ext.openai import DurableRunner, durable_function_tool +from restate.ext.openai import DurableRunner, durable_function_tool, restate_object_context # A cheap model keeps cost negligible while still producing genuinely # non-deterministic output, which is exactly what surfaces replay bugs. @@ -36,7 +30,9 @@ async def get_weather(city: str) -> str: Args: city: The city to get the weather for. """ - return f"The weather in {city} is sunny and 22 degrees Celsius." + async def call_weather_api(): + return f"The weather in {str(uuid.uuid4())} is sunny and 22 degrees Celsius." + return await restate_object_context().run_typed("call weather api", call_weather_api) agent = Agent( From e3b7a579f4fb888fddbf1ff30bbc2c99ac4143d9 Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Thu, 16 Jul 2026 09:24:26 +0200 Subject: [PATCH 03/12] add tests live + stubbed for non-determinism checks --- Justfile | 4 +- ai-tests/README.md | 71 ++++++++++----- ai-tests/model_stub.py | 103 +++++++++++++++++++++ ai-tests/openai_service.py | 178 +++++++++++++++++++++++++++++++++---- ai-tests/test_openai.py | 142 +++++++++++++++++++---------- python/restate/__init__.py | 4 +- python/restate/client.py | 4 +- python/restate/harness.py | 13 ++- 8 files changed, 426 insertions(+), 93 deletions(-) create mode 100644 ai-tests/model_stub.py diff --git a/Justfile b/Justfile index c8c759e..05c0bc1 100644 --- a/Justfile +++ b/Justfile @@ -21,18 +21,20 @@ typecheck-pyright: PYRIGHT_PYTHON_IGNORE_WARNINGS=1 uv run pyright examples/ PYRIGHT_PYTHON_IGNORE_WARNINGS=1 uv run pyright tests PYRIGHT_PYTHON_IGNORE_WARNINGS=1 uv run pyright test-services/ + PYRIGHT_PYTHON_IGNORE_WARNINGS=1 uv run pyright ai-tests/ typecheck-mypy: uv run -m mypy --check-untyped-defs --ignore-missing-imports --implicit-optional python/ uv run -m mypy --check-untyped-defs --ignore-missing-imports --implicit-optional examples/ uv run -m mypy --check-untyped-defs --ignore-missing-imports --implicit-optional tests/ + uv run -m mypy --check-untyped-defs --ignore-missing-imports --implicit-optional ai-tests/ typecheck: typecheck-pyright typecheck-mypy test: uv run -m pytest tests/* -# AI integration tests (needs docker + OPENAI_API_KEY). +# AI integration tests: scripted (no key) + live (needs OPENAI_API_KEY). Runs both. test-ai: uv run -m pytest ai-tests/ -v diff --git a/ai-tests/README.md b/ai-tests/README.md index 8c5a60b..57759d3 100644 --- a/ai-tests/README.md +++ b/ai-tests/README.md @@ -2,7 +2,13 @@ End-to-end tests for the AI SDK integrations that live in this repo (`restate.ext.*`). They run the integration against a **real** restate-server -and make **real (cheap) LLM calls**. +in two complementary model modes: + +- **Scripted:** a deterministic model emits real OpenAI Agents SDK response + objects. This forces the SDK protocol paths under replay + without requiring a model credential. +- **Live:** real (cheap) LLM calls validate the upstream provider's response + types and formats under replay. The goal is to catch, when an upstream agent SDK (or this SDK) is bumped: @@ -10,42 +16,63 @@ The goal is to catch, when an upstream agent SDK (or this SDK) is bumped: - **infinite error/retry loops**, - interference between concurrent invocations (turnstile / session state). -## What is covered (v1) +## What is covered + +Integration: **openai-agents** (see `openai_service.py`). Every scenario runs +against the scripted model with `always_replay=True` (forces a suspend/replay +on every await -- the HTTP/1.1-style path and the strongest non-determinism +detector) and `disable_retries=True`. The tool-call and multi-turn scenarios +additionally run against the live OpenAI API: 7 scripted + 2 live runs. -Integration: **openai-agents** only (see `openai_service.py`). +These are integration and durability tests, not agent evaluations. Scripted +responses drive the intended OpenAI Agents SDK protocol paths deterministically +(e.g. the turnstile test is guaranteed five parallel tool calls). Live runs +only require normal completion -- their job is catching real provider +response-type drift through the journaling path. -| Axis | Values | -| ----------- | --------------------------------------------------- | -| Protocol | HTTP/1.1 (suspends per await) and HTTP/2 (streaming) | -| Replay | forced replay on every suspension point | -| Retries | disabled (a mismatch fails fast instead of looping) | -| Concurrency | 20 invocations on distinct keys; 5 on a shared key | +| Test | Model modes | Pattern it stresses | +| ---- | ----------- | ------------------- | +| `test_agent_tool_call_replays_cleanly` | scripted + live | single tool call and LLM-call journaling | +| `test_multi_turn_session` | scripted + live | durable session state across turns + replay | +| `test_concurrent_distinct_keys` | scripted | 20 parallel invocations, no interference | +| `test_parallel_tools_turnstile` | scripted | many tool calls in one turn and turnstile ordering | +| `test_terminal_tool_error_fails_fast` | scripted | `TerminalError` -> terminal failure, no loop | +| `test_local_handoff` | scripted | native openai-agents handoff and agent-graph serialization | +| `test_remote_handoff_serializes_across_rpc` | scripted | durable RPC and pydantic serde | Detection is deliberately simple: with `disable_retries=True`, a journal -mismatch (Restate error `RT0016`) fails the invocation, so the awaiting -`object_call` raises and the test fails. Retries being off also means an -"infinite error scenario" surfaces as a single fast failure instead of a loop. +mismatch (Restate error `RT0016`) fails the invocation, so the awaiting call +raises and the test fails. Retries being off also means an "infinite error +scenario" surfaces as a single fast failure instead of a loop. ## Running locally -Requires Docker and an OpenAI API key. Without the key the tests **fail** (they -are meaningless without a real model, so a missing key is a hard error, not a skip). +Requires Docker. `just test-ai` runs the full suite -- both the scripted and +live tests: ```shell export OPENAI_API_KEY=sk-... just test-ai -# or: uv run -m pytest ai-tests/ -v ``` -These tests are **not** part of `just test` / `just verify`, and -run in CI only via the `AI Integration` workflow (nightly + manual dispatch). +The scripted tests need no key; the live tests require `OPENAI_API_KEY` and +fail (rather than skip) without one, since a configured live run is meaningless +without a real model. To run only the scripted half (no key): + +```shell +uv run -m pytest ai-tests/ -m "not live_model" -v +``` + +These tests are **not** part of `just test` / `just verify`. In CI they run on +PRs to `main` (`AI Integration` workflow): the scripted tests on every PR +(including forks), the live tests only when repository secrets are available. +The `AI SDK Bump Test` workflow runs the full suite against a candidate +agent-SDK version before bumping. ## Extending - **New integration:** add `_service.py` (mirroring an app from - restatedev/ai-examples) and `test_.py`, reusing `ai_harness`. + restatedev/ai-examples) and `test_.py`. Keep each integration's deps isolated once more than one is in play. -- **More scenarios:** human-in-the-loop / awakeables, multi-agent handoff, - failure injection (kill the service mid-invocation), higher concurrency (100). -- **Upstream-version matrix:** run against `openai-agents@latest` etc. to catch - breakage ahead of a pin bump. +- **More scenarios:** failure injection (kill the service mid-invocation), + higher concurrency (100), sequential/orchestrator workflows. diff --git a/ai-tests/model_stub.py b/ai-tests/model_stub.py new file mode 100644 index 0000000..bb5ece4 --- /dev/null +++ b/ai-tests/model_stub.py @@ -0,0 +1,103 @@ +from agents.agent_output import AgentOutputSchemaBase +from agents.handoffs import Handoff +from agents.items import ModelResponse, TResponseInputItem, TResponseStreamEvent +from agents.model_settings import ModelSettings +from agents.models.interface import Model, ModelTracing +from agents.tool import Tool +from agents.usage import Usage +from openai.types.responses import ResponseFunctionToolCall, ResponseOutputMessage, ResponseOutputText +from openai.types.responses.response_prompt_param import ResponsePromptParam + +class ScriptedModel(Model): + """Returns valid OpenAI Agents SDK responses for each test scenario.""" + + cities = ("Paris", "London", "Tokyo", "Berlin", "Rome") + + async def get_response( + self, + system_instructions: str | None, + input: str | list[TResponseInputItem], + model_settings: ModelSettings, + tools: list[Tool], + output_schema: AgentOutputSchemaBase | None, + handoffs: list[Handoff[Any, Any]], + tracing: ModelTracing, + *, + previous_response_id: str | None, + conversation_id: str | None, + prompt: ResponsePromptParam | None, + ) -> ModelResponse: + tool_names = {tool.name for tool in tools} + input_text = self._input_text(input) + + if "get_weather" in tool_names: + cities = [city for city in self.cities if city in input_text] + if not cities: + return self._text_response("Done.") + call_ids = {f"weather-{city.lower()}" for city in cities} + if self._has_tool_output(input, call_ids): + return self._text_response("Done.") + return self._tool_response(*(("get_weather", {"city": city}, f"weather-{city.lower()}") for city in cities)) + + if "explode" in tool_names: + return self._tool_response(("explode", {"reason": "scripted failure"}, "explode")) + + if "ask_specialist" in tool_names: + if self._has_tool_output(input, {"ask-specialist"}): + return self._text_response("Done.") + return self._tool_response( + ("ask_specialist", {"question": "How do I speed up a slow SQL query?"}, "ask-specialist") + ) + + if handoffs: + return self._tool_response((handoffs[0].tool_name, {}, "billing-handoff")) + + return self._text_response("Done.") + + async def stream_response(self, *args: Any, **kwargs: Any) -> AsyncIterator[TResponseStreamEvent]: + raise AssertionError("ScriptedModel only supports Runner.run") + yield + + @staticmethod + def _input_text(input: str | list[TResponseInputItem]) -> str: + return input if isinstance(input, str) else json.dumps(input) + + @staticmethod + def _has_tool_output(input: str | list[TResponseInputItem], call_ids: set[str]) -> bool: + return isinstance(input, list) and any( + isinstance(item, dict) and item.get("type") == "function_call_output" and item.get("call_id") in call_ids + for item in input + ) + + @staticmethod + def _tool_response(*calls: tuple[str, dict[str, str], str]) -> ModelResponse: + return ModelResponse( + output=[ + ResponseFunctionToolCall( + arguments=json.dumps(arguments), + call_id=call_id, + id=f"function-{call_id}", + name=name, + type="function_call", + ) + for name, arguments, call_id in calls + ], + usage=Usage(), + response_id="scripted-response", + ) + + @staticmethod + def _text_response(text: str) -> ModelResponse: + return ModelResponse( + output=[ + ResponseOutputMessage( + id="scripted-message", + content=[ResponseOutputText(annotations=[], text=text, type="output_text")], + role="assistant", + status="completed", + type="message", + ) + ], + usage=Usage(), + response_id="scripted-response", + ) diff --git a/ai-tests/openai_service.py b/ai-tests/openai_service.py index d034fa7..a5ebdf6 100644 --- a/ai-tests/openai_service.py +++ b/ai-tests/openai_service.py @@ -9,20 +9,31 @@ # https://github.com/restatedev/sdk-typescript/blob/main/LICENSE # """ -A minimal OpenAI-agents service used by the AI integration tests. +OpenAI-agents services used by the AI integration tests. """ -import uuid + import restate -from restate import ObjectContext +from restate import Context, ObjectContext, TerminalError +from pydantic import BaseModel from agents import Agent -from restate.ext.openai import DurableRunner, durable_function_tool, restate_object_context +from restate.ext.openai import ( + DurableRunner, + durable_function_tool, + restate_context, + restate_object_context, +) # A cheap model keeps cost negligible while still producing genuinely # non-deterministic output, which is exactly what surfaces replay bugs. MODEL = "gpt-4o-mini" +# -------------------------------------------------------------------------- +# Chat / weather agent (tools + durable sessions + parallel tool calls) +# -------------------------------------------------------------------------- + + @durable_function_tool async def get_weather(city: str) -> str: """Get the current weather for a given city. @@ -30,16 +41,16 @@ async def get_weather(city: str) -> str: Args: city: The city to get the weather for. """ - async def call_weather_api(): - return f"The weather in {str(uuid.uuid4())} is sunny and 22 degrees Celsius." + async def call_weather_api() -> str: + return f"The weather in {city} is sunny and 22 degrees Celsius." return await restate_object_context().run_typed("call weather api", call_weather_api) -agent = Agent( +weather_agent = Agent( name="Assistant", instructions=( "You are a concise assistant. When the user asks about the weather you MUST " - "call the get_weather tool. Answer in one short sentence." + "call the get_weather tool. Answer in one short sentence per city." ), model=MODEL, tools=[get_weather], @@ -52,14 +63,151 @@ async def call_weather_api(): @agent_object.handler() async def message(ctx: ObjectContext, prompt: str) -> str: """Send a single message to the agent, persisting conversation history.""" - result = await DurableRunner.run( - agent, - prompt, - use_restate_session=True, - ) + result = await DurableRunner.run(weather_agent, prompt, use_restate_session=True) + return str(result.final_output) + + +# -------------------------------------------------------------------------- +# Terminal error propagation (a tool that fails permanently) +# -------------------------------------------------------------------------- + + +@durable_function_tool +async def explode(reason: str) -> str: + """Process the request. Always use this tool. + + Args: + reason: A short description of the request. + """ + raise TerminalError(f"tool failed permanently: {reason}") + + +failing_agent = Agent( + name="FailingAgent", + instructions="You MUST call the explode tool for every request. Never answer directly.", + model=MODEL, + tools=[explode], +) + + +failing_service = restate.Service("FailingAgent") + + +@failing_service.handler() +async def failing_run(ctx: Context, prompt: str) -> str: + result = await DurableRunner.run(failing_agent, prompt) + return str(result.final_output) + + +# -------------------------------------------------------------------------- +# Local handoff (native openai-agents handoff between in-process agents) +# -------------------------------------------------------------------------- + + +billing_agent = Agent( + name="BillingAgent", + handoff_description="Handles billing, invoices, refunds and payments.", + instructions="You handle billing questions. Reply in one sentence.", + model=MODEL, +) + +tech_agent = Agent( + name="TechAgent", + handoff_description="Handles technical and product troubleshooting.", + instructions="You handle technical questions. Begin every reply with 'TECH:'. One sentence.", + model=MODEL, +) + +triage_agent = Agent( + name="TriageAgent", + instructions=( + "Route the user to the right specialist via a handoff. Hand billing questions to " + "the billing agent and technical questions to the tech agent. Do not answer yourself." + ), + handoffs=[billing_agent, tech_agent], + model=MODEL, +) + + +triage_service = restate.Service("TriageAgent") + + +@triage_service.handler() +async def triage_run(ctx: Context, question: str) -> str: + result = await DurableRunner.run(triage_agent, question) + return str(result.final_output) + + +# -------------------------------------------------------------------------- +# Remote handoff (a tool that hands off to another agent over a durable RPC, +# passing pydantic models across the service boundary) +# -------------------------------------------------------------------------- + + +class SpecialistRequest(BaseModel): + question: str + + +class SpecialistReply(BaseModel): + answer: str + + +remote_specialist_agent = Agent( + name="RemoteSpecialist", + instructions="You are a database expert. Reply in one sentence.", + model=MODEL, +) + + +remote_specialist_service = restate.Service("RemoteSpecialist") + + +@remote_specialist_service.handler() +async def specialist_answer(ctx: Context, req: SpecialistRequest) -> SpecialistReply: + result = await DurableRunner.run(remote_specialist_agent, req.question) + return SpecialistReply(answer=str(result.final_output)) + + +@durable_function_tool +async def ask_specialist(question: str) -> str: + """Ask the remote database specialist a question. + + Args: + question: The question to forward to the specialist. + """ + ctx = restate_context() + reply = await ctx.service_call(specialist_answer, arg=SpecialistRequest(question=question)) + return reply.answer + + +coordinator_agent = Agent( + name="Coordinator", + instructions=( + "For any database or specialist question you MUST call the ask_specialist tool and " + "return its answer verbatim. Do not answer yourself." + ), + model=MODEL, + tools=[ask_specialist], +) + + +coordinator_service = restate.Service("Coordinator") + + +@coordinator_service.handler() +async def coordinator_run(ctx: Context, question: str) -> str: + result = await DurableRunner.run(coordinator_agent, question) return str(result.final_output) def app(): - """Build the Restate ASGI app for this service.""" - return restate.app([agent_object]) + """Build the Restate ASGI app registering all test services.""" + return restate.app( + [ + agent_object, + failing_service, + triage_service, + remote_specialist_service, + coordinator_service, + ] + ) diff --git a/ai-tests/test_openai.py b/ai-tests/test_openai.py index d3db2c7..0bc5d33 100644 --- a/ai-tests/test_openai.py +++ b/ai-tests/test_openai.py @@ -8,80 +8,126 @@ # directory of this repository or package, or at # https://github.com/restatedev/sdk-typescript/blob/main/LICENSE # +"""OpenAI Agents integration tests. + +All scenarios run against a scripted model (no key needed) with always-replay; +the tool-call and multi-turn scenarios additionally run against the live OpenAI +API to catch real provider response-type drift through the journaling path. """ -AI integration tests -Each test spins up a restate-server (via ``restate.create_test_harness``), -serves the `openai_service` app, and drives it with real OpenAI calls. +from __future__ import annotations -``disable_retries=True`` makes a journal mismatch / non-determinism fail the -invocation (and thus the test) instead of looping. ``always_replay=True`` forces -a suspend/replay on every await -- the HTTP/1.1-style path -- which is what -surfaces non-determinism bugs. -""" -import os import asyncio -import restate +import os import pytest - +import restate import openai_service -from openai_service import message - -# ----- Asyncio fixtures ----- +from collections.abc import AsyncIterator +from contextlib import asynccontextmanager +from agents.models.multi_provider import MultiProvider +from restate.client_types import HttpError, RestateClient +from openai_service import ( + coordinator_run, + failing_run, + message, + triage_run, +) +from model_stub import ScriptedModel @pytest.fixture(scope="session") def anyio_backend(): return "asyncio" -@pytest.fixture(autouse=True) -def require_openai_key(): - """Fail (do not skip) the AI integration tests when no real OpenAI key is set. +def _use_scripted_model(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(MultiProvider, "get_model", lambda _self, _model_name: ScriptedModel()) - These tests are meaningless without a real model, so a missing key is treated - as a hard failure rather than a silent skip. - """ - if not os.environ.get("OPENAI_API_KEY"): - pytest.fail( - "OPENAI_API_KEY is not set; the AI integration tests require a real OpenAI key.", - pytrace=False, - ) +@pytest.fixture +def scripted_model(monkeypatch: pytest.MonkeyPatch) -> None: + """Route all model calls to the ScriptedModel (no OpenAI key needed).""" + _use_scripted_model(monkeypatch) -# ----- Tests ----- -async def test_agent_tool_call_replays_cleanly(): - """A single tool-calling turn completes and replays without a journal mismatch.""" +# Scripted mode covers every scenario; live mode runs only where it adds unique +# value -- validating the real provider's response types survive journaling. +@pytest.fixture( + params=[ + pytest.param("scripted", id="scripted"), + pytest.param("live", id="live", marks=pytest.mark.live_model), + ] +) +def model_mode(request: pytest.FixtureRequest, monkeypatch: pytest.MonkeyPatch) -> str: + mode = request.param + if mode == "live": + if not os.environ.get("OPENAI_API_KEY"): + pytest.fail( + "OPENAI_API_KEY is not set; live AI integration tests require a real OpenAI key.", pytrace=False + ) + else: + _use_scripted_model(monkeypatch) + return mode + + +@asynccontextmanager +async def harness_client() -> AsyncIterator[RestateClient]: async with restate.create_test_harness( openai_service.app(), + follow_logs=True, disable_retries=True, always_replay=True, - ) as h: - out = await h.client.object_call(message, key="user-1", arg="What is the weather in Paris?") + ) as harness: + yield harness.client + + +async def test_agent_tool_call_replays_cleanly(model_mode: str): + async with harness_client() as client: + out = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" -async def test_multi_turn_session(): - """Session state persists across turns (and survives replay).""" - async with restate.create_test_harness( - openai_service.app(), - disable_retries=True, - always_replay=True, - ) as h: - await h.client.object_call(message, key="u", arg="My name is Ada. Remember it.") - out = await h.client.object_call(message, key="u", arg="What is my name?") - assert "ada" in out.lower(), f"session did not persist the name: {out!r}" +async def test_multi_turn_session(model_mode: str): + async with harness_client() as client: + await client.object_call(message, key="u", arg="My name is Ada. Remember it.") + out = await client.object_call(message, key="u", arg="What is my name?") + assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" -async def test_concurrent_distinct_keys(): - """Many invocations in parallel on distinct keys don't interfere.""" - async with restate.create_test_harness( - openai_service.app(), - disable_retries=True, - ) as h: +async def test_concurrent_distinct_keys(scripted_model: None): + async with harness_client() as client: n = 20 results = await asyncio.gather( - *[h.client.object_call(message, key=f"user-{i}", arg="Reply with exactly: OK") for i in range(n)] + *[client.object_call(message, key=f"user-{i}", arg="Reply with exactly: OK") for i in range(n)] ) assert len(results) == n - assert all(isinstance(r, str) and r.strip() for r in results) \ No newline at end of file + assert all(isinstance(result, str) and result.strip() for result in results) + + +async def test_parallel_tools_turnstile(scripted_model: None): + cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] + async with harness_client() as client: + out = await client.object_call( + message, + key="cities", + arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", + ) + assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" + + +async def test_terminal_tool_error_fails_fast(scripted_model: None): + async with harness_client() as client: + with pytest.raises(HttpError) as exc: + await client.service_call(failing_run, arg="please process my request") + assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" + + +async def test_local_handoff(scripted_model: None): + async with harness_client() as client: + out = await client.service_call(triage_run, arg="I was double charged on my invoice, can I get a refund?") + assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" + + +async def test_remote_handoff_serializes_across_rpc(scripted_model: None): + async with harness_client() as client: + out = await client.service_call(coordinator_run, arg="How do I speed up a slow SQL query with a missing index?") + assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" diff --git a/python/restate/__init__.py b/python/restate/__init__.py index 16935e3..0902f4c 100644 --- a/python/restate/__init__.py +++ b/python/restate/__init__.py @@ -58,6 +58,7 @@ def create_test_harness( restate_image: str = "docker.io/restatedev/restate:latest", always_replay: bool = False, disable_retries: bool = False, + client_timeout: float | None = 30.0, ) -> typing.AsyncGenerator[HarnessEnvironment, None]: """a dummy harness constructor to raise ImportError. Install restate-sdk[harness] to use this feature""" raise ImportError("Install restate-sdk[harness] to use this feature") @@ -69,6 +70,7 @@ def test_harness( restate_image: str = "docker.io/restatedev/restate:latest", always_replay: bool = False, disable_retries: bool = False, + client_timeout: float | None = 30.0, ): """a dummy harness constructor to raise ImportError. Install restate-sdk[harness] to use this feature""" raise ImportError("Install restate-sdk[harness] to use this feature") # type: ignore @@ -81,7 +83,7 @@ def test_harness( @asynccontextmanager async def create_client( - ingress: str, headers: typing.Optional[dict] = None + ingress: str, headers: typing.Optional[dict] = None, timeout: float | None = 30.0 ) -> typing.AsyncGenerator[RestateClient, None]: """a dummy client constructor to raise ImportError. Install restate-sdk[client] to use this feature""" raise ImportError("Install restate-sdk[client] to use this feature") diff --git a/python/restate/client.py b/python/restate/client.py index dc39213..e79e690 100644 --- a/python/restate/client.py +++ b/python/restate/client.py @@ -471,10 +471,10 @@ async def workflow_send( @asynccontextmanager async def create_client( - ingress: str, headers: typing.Optional[dict] = None + ingress: str, headers: typing.Optional[dict] = None, timeout: typing.Optional[float] = None ) -> typing.AsyncGenerator[RestateClient, None]: """ Create a new Restate client. """ - async with httpx.AsyncClient(base_url=ingress, headers=headers, http2=True) as http_client: + async with httpx.AsyncClient(base_url=ingress, headers=headers, http2=True, timeout=timeout) as http_client: yield Client(http_client, headers) diff --git a/python/restate/harness.py b/python/restate/harness.py index 5861124..1b633d3 100644 --- a/python/restate/harness.py +++ b/python/restate/harness.py @@ -172,9 +172,9 @@ def get_admin_client(self): """return an httpx client to access the admin interface""" return httpx.Client(base_url=self.admin_url()) - def get_ingress_client(self): + def get_ingress_client(self, timeout: float | None = 30.0): """return an httpx client to access the ingress interface""" - return httpx.Client(base_url=self.ingress_url()) + return httpx.Client(base_url=self.ingress_url(), timeout=timeout) def start(self, stream_logs=False): """start the container and wait for health checks to pass""" @@ -200,6 +200,7 @@ class TestConfiguration: stream_logs: bool = False always_replay: bool = False disable_retries: bool = False + client_timeout: float | None = 30.0 class RestateTestHarness: @@ -256,7 +257,7 @@ def ingress_client(self): """return an httpx client to access the restate server's ingress""" if self.restate is None: raise AssertionError("The Restate server has not been started. Use .start()") - return self.restate.get_ingress_client() + return self.restate.get_ingress_client(timeout=self.config.client_timeout) def __enter__(self): self.start() @@ -318,6 +319,7 @@ def test_harness( restate_image: str = "docker.io/restatedev/restate:latest", always_replay: bool = False, disable_retries: bool = False, + client_timeout: float | None = 30.0, ) -> RestateTestHarness: """ DEPRECATED: Use ctx.create_test_harness instead. @@ -327,6 +329,7 @@ def test_harness( stream_logs=follow_logs, always_replay=always_replay, disable_retries=disable_retries, + client_timeout=client_timeout, ) return RestateTestHarness(app, config) @@ -338,6 +341,7 @@ async def create_test_harness( restate_image: str = "docker.io/restatedev/restate:latest", always_replay: bool = False, disable_retries: bool = False, + client_timeout: float | None = 30.0, ) -> typing.AsyncGenerator[HarnessEnvironment, None]: """ Creates a test harness for running Restate services together with restate-server. @@ -360,6 +364,7 @@ async def create_test_harness( on a suspension point. This is useful to hunt non-deterministic bugs that might prevent your code to replay correctly (default is False). :param disable_retries: When True, retries are disabled (default is False). + :param client_timeout: HTTP request timeout for the harness client in seconds. Set to None to disable it. """ with ( create_restate_container( @@ -377,7 +382,7 @@ async def create_test_harness( msg = f"unable to register the services at {bind_address} - {res.status_code} {res.text}" raise AssertionError(msg) - async with create_client(runtime.ingress_url()) as client: + async with create_client(runtime.ingress_url(), timeout=client_timeout) as client: yield HarnessEnvironment( ingress_url=runtime.ingress_url(), admin_api_url=runtime.admin_url(), client=client ) From 8d49f1020b82633475ef6e99523f610b2828a1df Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Fri, 17 Jul 2026 08:15:49 +0200 Subject: [PATCH 04/12] Fix tetst --- ai-tests/README.md | 21 +++++++++++++++++---- ai-tests/model_stub.py | 11 ++++++++++- ai-tests/openai_service.py | 3 +++ ai-tests/test_openai.py | 4 ++++ 4 files changed, 34 insertions(+), 5 deletions(-) diff --git a/ai-tests/README.md b/ai-tests/README.md index 57759d3..e9c101b 100644 --- a/ai-tests/README.md +++ b/ai-tests/README.md @@ -40,10 +40,23 @@ response-type drift through the journaling path. | `test_local_handoff` | scripted | native openai-agents handoff and agent-graph serialization | | `test_remote_handoff_serializes_across_rpc` | scripted | durable RPC and pydantic serde | -Detection is deliberately simple: with `disable_retries=True`, a journal -mismatch (Restate error `RT0016`) fails the invocation, so the awaiting call -raises and the test fails. Retries being off also means an "infinite error -scenario" surfaces as a single fast failure instead of a loop. +Detection is deliberately simple: forced replay surfaces a journal mismatch in +the SDK, and the harness client timeout prevents a mismatch retry loop from +hanging CI indefinitely. `disable_retries=True` separately makes ordinary +handler failures surface without retry backoff. + +## Temporary replay probes + +Three tests marked `temporary_nondeterminism_probe` verify the test setup itself: +two deliberately fail by introducing non-deterministic journal commands, while +one proves randomness inside `ctx.run` replays cleanly. A correct probe run ends +with **2 failed, 1 passed** and shows the journal-mismatch trace for both failures. +Delete the marked block in `test_openai.py` and its marker registration once +these deliberately red canaries are no longer useful. + +```shell +uv run -m pytest ai-tests/test_openai.py -m temporary_nondeterminism_probe -v +``` ## Running locally diff --git a/ai-tests/model_stub.py b/ai-tests/model_stub.py index bb5ece4..f48fd81 100644 --- a/ai-tests/model_stub.py +++ b/ai-tests/model_stub.py @@ -1,3 +1,9 @@ +from __future__ import annotations + +import json +from collections.abc import AsyncIterator +from typing import Any + from agents.agent_output import AgentOutputSchemaBase from agents.handoffs import Handoff from agents.items import ModelResponse, TResponseInputItem, TResponseStreamEvent @@ -8,6 +14,7 @@ from openai.types.responses import ResponseFunctionToolCall, ResponseOutputMessage, ResponseOutputText from openai.types.responses.response_prompt_param import ResponsePromptParam + class ScriptedModel(Model): """Returns valid OpenAI Agents SDK responses for each test scenario.""" @@ -37,7 +44,9 @@ async def get_response( call_ids = {f"weather-{city.lower()}" for city in cities} if self._has_tool_output(input, call_ids): return self._text_response("Done.") - return self._tool_response(*(("get_weather", {"city": city}, f"weather-{city.lower()}") for city in cities)) + return self._tool_response( + *(("get_weather", {"city": city}, f"weather-{city.lower()}") for city in cities) + ) if "explode" in tool_names: return self._tool_response(("explode", {"reason": "scripted failure"}, "explode")) diff --git a/ai-tests/openai_service.py b/ai-tests/openai_service.py index a5ebdf6..ff62179 100644 --- a/ai-tests/openai_service.py +++ b/ai-tests/openai_service.py @@ -41,8 +41,10 @@ async def get_weather(city: str) -> str: Args: city: The city to get the weather for. """ + async def call_weather_api() -> str: return f"The weather in {city} is sunny and 22 degrees Celsius." + return await restate_object_context().run_typed("call weather api", call_weather_api) @@ -211,3 +213,4 @@ def app(): coordinator_service, ] ) + diff --git a/ai-tests/test_openai.py b/ai-tests/test_openai.py index 0bc5d33..27e22bd 100644 --- a/ai-tests/test_openai.py +++ b/ai-tests/test_openai.py @@ -19,12 +19,15 @@ import asyncio import os +import uuid import pytest import restate import openai_service from collections.abc import AsyncIterator from contextlib import asynccontextmanager +from datetime import timedelta from agents.models.multi_provider import MultiProvider +from restate import ObjectContext from restate.client_types import HttpError, RestateClient from openai_service import ( coordinator_run, @@ -34,6 +37,7 @@ ) from model_stub import ScriptedModel + @pytest.fixture(scope="session") def anyio_backend(): return "asyncio" From 906a1f5a9e7786f60be2687c254abb69a235a2e7 Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Fri, 17 Jul 2026 09:13:58 +0200 Subject: [PATCH 05/12] Improve tests --- ai-tests/README.md | 14 ++++--- ai-tests/model_stub.py | 10 +++-- ai-tests/openai_service.py | 30 ++++++++++---- ai-tests/test_openai.py | 85 +++++++++++++++++++++++++++++++------- pyproject.toml | 3 ++ 5 files changed, 110 insertions(+), 32 deletions(-) diff --git a/ai-tests/README.md b/ai-tests/README.md index e9c101b..1c81ca6 100644 --- a/ai-tests/README.md +++ b/ai-tests/README.md @@ -27,13 +27,15 @@ additionally run against the live OpenAI API: 7 scripted + 2 live runs. These are integration and durability tests, not agent evaluations. Scripted responses drive the intended OpenAI Agents SDK protocol paths deterministically (e.g. the turnstile test is guaranteed five parallel tool calls). Live runs -only require normal completion -- their job is catching real provider -response-type drift through the journaling path. +only require normal completion and matching tool-call outputs -- their job is +catching real provider response-type drift through the journaling path. The +handlers return all generated run items so tests can match each `function_call` +to a `function_call_output` with the same call ID, proving the tool executed. | Test | Model modes | Pattern it stresses | | ---- | ----------- | ------------------- | | `test_agent_tool_call_replays_cleanly` | scripted + live | single tool call and LLM-call journaling | -| `test_multi_turn_session` | scripted + live | durable session state across turns + replay | +| `test_multi_turn_session` | scripted + live | expected response content + non-empty durable VO session state | | `test_concurrent_distinct_keys` | scripted | 20 parallel invocations, no interference | | `test_parallel_tools_turnstile` | scripted | many tool calls in one turn and turnstile ordering | | `test_terminal_tool_error_fails_fast` | scripted | `TerminalError` -> terminal failure, no loop | @@ -70,10 +72,12 @@ just test-ai The scripted tests need no key; the live tests require `OPENAI_API_KEY` and fail (rather than skip) without one, since a configured live run is meaningless -without a real model. To run only the scripted half (no key): +without a real model. The tests print their full generated item lists; use `-s` +to disable pytest output capture and see them. To run only the scripted half +(no key): ```shell -uv run -m pytest ai-tests/ -m "not live_model" -v +uv run -m pytest ai-tests/ -m "not live_model" -v -s ``` These tests are **not** part of `just test` / `just verify`. In CI they run on diff --git a/ai-tests/model_stub.py b/ai-tests/model_stub.py index f48fd81..bf86a22 100644 --- a/ai-tests/model_stub.py +++ b/ai-tests/model_stub.py @@ -37,6 +37,12 @@ async def get_response( tool_names = {tool.name for tool in tools} input_text = self._input_text(input) + if "In which country is it?" in input_text: + return self._text_response("France") + + if "What is the capital of France?" in input_text: + return self._text_response("Paris") + if "get_weather" in tool_names: cities = [city for city in self.cities if city in input_text] if not cities: @@ -44,9 +50,7 @@ async def get_response( call_ids = {f"weather-{city.lower()}" for city in cities} if self._has_tool_output(input, call_ids): return self._text_response("Done.") - return self._tool_response( - *(("get_weather", {"city": city}, f"weather-{city.lower()}") for city in cities) - ) + return self._tool_response(*(("get_weather", {"city": city}, f"weather-{city.lower()}") for city in cities)) if "explode" in tool_names: return self._tool_response(("explode", {"reason": "scripted failure"}, "explode")) diff --git a/ai-tests/openai_service.py b/ai-tests/openai_service.py index ff62179..91b314e 100644 --- a/ai-tests/openai_service.py +++ b/ai-tests/openai_service.py @@ -12,11 +12,13 @@ OpenAI-agents services used by the AI integration tests. """ +from typing import Any + import restate -from restate import Context, ObjectContext, TerminalError +from restate import Context, ObjectContext, ObjectSharedContext, TerminalError from pydantic import BaseModel -from agents import Agent +from agents import Agent, RunResult from restate.ext.openai import ( DurableRunner, durable_function_tool, @@ -29,6 +31,11 @@ MODEL = "gpt-4o-mini" +def generated_items(result: RunResult) -> list[dict[str, Any]]: + """Return all messages, tool calls, and tool outputs generated by a run.""" + return [dict(item.to_input_item()) for item in result.new_items] + + # -------------------------------------------------------------------------- # Chat / weather agent (tools + durable sessions + parallel tool calls) # -------------------------------------------------------------------------- @@ -63,10 +70,16 @@ async def call_weather_api() -> str: @agent_object.handler() -async def message(ctx: ObjectContext, prompt: str) -> str: +async def message(ctx: ObjectContext, prompt: str) -> list[dict[str, Any]]: """Send a single message to the agent, persisting conversation history.""" result = await DurableRunner.run(weather_agent, prompt, use_restate_session=True) - return str(result.final_output) + return generated_items(result) + + +@agent_object.handler(kind="shared") +async def get_session_items(ctx: ObjectSharedContext) -> list[dict[str, Any]]: + """Return the durable OpenAI Agents session stored for this object key.""" + return await ctx.get("items", type_hint=list[dict[str, Any]]) or [] # -------------------------------------------------------------------------- @@ -135,9 +148,9 @@ async def failing_run(ctx: Context, prompt: str) -> str: @triage_service.handler() -async def triage_run(ctx: Context, question: str) -> str: +async def triage_run(ctx: Context, question: str) -> list[dict[str, Any]]: result = await DurableRunner.run(triage_agent, question) - return str(result.final_output) + return generated_items(result) # -------------------------------------------------------------------------- @@ -197,9 +210,9 @@ async def ask_specialist(question: str) -> str: @coordinator_service.handler() -async def coordinator_run(ctx: Context, question: str) -> str: +async def coordinator_run(ctx: Context, question: str) -> list[dict[str, Any]]: result = await DurableRunner.run(coordinator_agent, question) - return str(result.final_output) + return generated_items(result) def app(): @@ -213,4 +226,3 @@ def app(): coordinator_service, ] ) - diff --git a/ai-tests/test_openai.py b/ai-tests/test_openai.py index 27e22bd..1e80322 100644 --- a/ai-tests/test_openai.py +++ b/ai-tests/test_openai.py @@ -18,26 +18,65 @@ from __future__ import annotations import asyncio +import json import os -import uuid import pytest import restate import openai_service +from typing import Any from collections.abc import AsyncIterator from contextlib import asynccontextmanager -from datetime import timedelta from agents.models.multi_provider import MultiProvider -from restate import ObjectContext from restate.client_types import HttpError, RestateClient from openai_service import ( coordinator_run, failing_run, + get_session_items, message, triage_run, ) from model_stub import ScriptedModel +AgentRunItems = list[dict[str, Any]] + + +def assert_completed(items: AgentRunItems) -> None: + assert any(item.get("type") == "message" for item in items), f"run did not produce a final message: {items!r}" + + +def response_text(items: AgentRunItems) -> str: + return "".join( + str(content.get("text", "")) + for item in items + if item.get("type") == "message" + for content in item.get("content", []) + if isinstance(content, dict) and content.get("type") == "output_text" + ) + + +def assert_tool_executed(items: AgentRunItems, tool_name: str, minimum_calls: int = 1) -> None: + call_ids = [ + item.get("call_id") for item in items if item.get("type") == "function_call" and item.get("name") == tool_name + ] + assert len(call_ids) >= minimum_calls, f"expected {tool_name!r} to be called, got: {items!r}" + + output_ids = {item.get("call_id") for item in items if item.get("type") == "function_call_output"} + missing_outputs = [call_id for call_id in call_ids if call_id not in output_ids] + assert not missing_outputs, f"{tool_name!r} calls did not complete: {missing_outputs!r}" + + +def assert_handoff_executed(items: AgentRunItems) -> None: + handoff_names = { + item.get("name") + for item in items + if item.get("type") == "function_call" and str(item.get("name", "")).startswith("transfer_to_") + } + assert handoff_names, f"expected an agent handoff, got: {items!r}" + for handoff_name in handoff_names: + assert_tool_executed(items, str(handoff_name)) + + @pytest.fixture(scope="session") def anyio_backend(): return "asyncio" @@ -86,15 +125,24 @@ async def harness_client() -> AsyncIterator[RestateClient]: async def test_agent_tool_call_replays_cleanly(model_mode: str): async with harness_client() as client: - out = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") - assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" + items = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") + assert_tool_executed(items, "get_weather") + assert_completed(items) async def test_multi_turn_session(model_mode: str): async with harness_client() as client: - await client.object_call(message, key="u", arg="My name is Ada. Remember it.") - out = await client.object_call(message, key="u", arg="What is my name?") - assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" + first_items = await client.object_call(message, key="u", arg="What is the capital of France?") + second_items = await client.object_call(message, key="u", arg="In which country is it?") + session_items = await client.object_call(get_session_items, key="u", arg=None) + assert_completed(first_items) + assert_completed(second_items) + + # Context of first question, was available to the second question. + assert "france" in response_text(second_items).lower() + + # Session state is stored in Restate. + assert session_items, "OpenAI Agents session state is empty" async def test_concurrent_distinct_keys(scripted_model: None): @@ -104,18 +152,20 @@ async def test_concurrent_distinct_keys(scripted_model: None): *[client.object_call(message, key=f"user-{i}", arg="Reply with exactly: OK") for i in range(n)] ) assert len(results) == n - assert all(isinstance(result, str) and result.strip() for result in results) + for items in results: + assert_completed(items) async def test_parallel_tools_turnstile(scripted_model: None): cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] async with harness_client() as client: - out = await client.object_call( + items = await client.object_call( message, key="cities", arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", ) - assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" + assert_tool_executed(items, "get_weather", minimum_calls=len(cities)) + assert_completed(items) async def test_terminal_tool_error_fails_fast(scripted_model: None): @@ -123,15 +173,20 @@ async def test_terminal_tool_error_fails_fast(scripted_model: None): with pytest.raises(HttpError) as exc: await client.service_call(failing_run, arg="please process my request") assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" + assert "tool failed permanently" in (exc.value.body or "") async def test_local_handoff(scripted_model: None): async with harness_client() as client: - out = await client.service_call(triage_run, arg="I was double charged on my invoice, can I get a refund?") - assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" + items = await client.service_call(triage_run, arg="I was double charged on my invoice, can I get a refund?") + assert_handoff_executed(items) + assert_completed(items) async def test_remote_handoff_serializes_across_rpc(scripted_model: None): async with harness_client() as client: - out = await client.service_call(coordinator_run, arg="How do I speed up a slow SQL query with a missing index?") - assert isinstance(out, str) and out.strip(), f"unexpected output: {out!r}" + items = await client.service_call( + coordinator_run, arg="How do I speed up a slow SQL query with a missing index?" + ) + assert_tool_executed(items, "ask_specialist") + assert_completed(items) diff --git a/pyproject.toml b/pyproject.toml index 6f3cd0f..85b568f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -62,4 +62,7 @@ ignore = ["E741"] filterwarnings = [ "ignore:The @wait_container_is_ready decorator is deprecated:DeprecationWarning", ] +markers = [ + "live_model: calls a live model provider", +] anyio_mode = "auto" From b742beb47717bdd7b1219cc5d46caceb71c0e5ea Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Fri, 17 Jul 2026 10:06:43 +0200 Subject: [PATCH 06/12] Add pydantic AI tests --- Justfile | 15 +- ai-tests/README.md | 49 +- .../{model_stub.py => openai_model_stub.py} | 0 ai-tests/{test_openai.py => openai_test.py} | 3 +- ai-tests/pydantic_model_stub.py | 100 + ai-tests/pydantic_service.py | 176 + ai-tests/pydantic_test.py | 180 + pyproject.toml | 2 +- uv.lock | 3918 ----------------- 9 files changed, 489 insertions(+), 3954 deletions(-) rename ai-tests/{model_stub.py => openai_model_stub.py} (100%) rename ai-tests/{test_openai.py => openai_test.py} (99%) create mode 100644 ai-tests/pydantic_model_stub.py create mode 100644 ai-tests/pydantic_service.py create mode 100644 ai-tests/pydantic_test.py delete mode 100644 uv.lock diff --git a/Justfile b/Justfile index 05c0bc1..94d9f62 100644 --- a/Justfile +++ b/Justfile @@ -34,9 +34,18 @@ typecheck: typecheck-pyright typecheck-mypy test: uv run -m pytest tests/* -# AI integration tests: scripted (no key) + live (needs OPENAI_API_KEY). Runs both. -test-ai: - uv run -m pytest ai-tests/ -v +# Each integration runs in its own dependency environment. +test-ai-openai: + uv run --isolated --locked --extra test --extra harness --extra serde --extra openai -m pytest ai-tests/openai_test.py -v -s + +test-ai-pydantic: + uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -v -s + +test-ai: test-ai-openai test-ai-pydantic + +test-ai-scripted: + uv run --isolated --locked --extra test --extra harness --extra serde --extra openai -m pytest ai-tests/openai_test.py -m "not live_model" -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -m "not live_model" -v -s # Recipe to run both mypy and pylint diff --git a/ai-tests/README.md b/ai-tests/README.md index 1c81ca6..89a4688 100644 --- a/ai-tests/README.md +++ b/ai-tests/README.md @@ -4,9 +4,8 @@ End-to-end tests for the AI SDK integrations that live in this repo (`restate.ext.*`). They run the integration against a **real** restate-server in two complementary model modes: -- **Scripted:** a deterministic model emits real OpenAI Agents SDK response - objects. This forces the SDK protocol paths under replay - without requiring a model credential. +- **Scripted:** deterministic models emit real agent-SDK response objects. This + forces each integration's protocol paths under replay without credentials. - **Live:** real (cheap) LLM calls validate the upstream provider's response types and formats under replay. @@ -18,19 +17,20 @@ The goal is to catch, when an upstream agent SDK (or this SDK) is bumped: ## What is covered -Integration: **openai-agents** (see `openai_service.py`). Every scenario runs -against the scripted model with `always_replay=True` (forces a suspend/replay +Integrations: **openai-agents** (`openai_service.py`) and **pydantic-ai** +(`pydantic_service.py`). Each integration runs in its own isolated dependency +environment. Every scenario uses `always_replay=True` (forces a suspend/replay on every await -- the HTTP/1.1-style path and the strongest non-determinism -detector) and `disable_retries=True`. The tool-call and multi-turn scenarios -additionally run against the live OpenAI API: 7 scripted + 2 live runs. +detector) and `disable_retries=True`. Tool-call and multi-turn scenarios also +run against the live OpenAI API: 14 scripted + 4 live runs. These are integration and durability tests, not agent evaluations. Scripted -responses drive the intended OpenAI Agents SDK protocol paths deterministically +responses drive the intended agent SDK protocol paths deterministically (e.g. the turnstile test is guaranteed five parallel tool calls). Live runs only require normal completion and matching tool-call outputs -- their job is catching real provider response-type drift through the journaling path. The -handlers return all generated run items so tests can match each `function_call` -to a `function_call_output` with the same call ID, proving the tool executed. +handlers return generated run items/messages so tests can match tool calls to +tool outputs with the same call ID, proving each tool executed. | Test | Model modes | Pattern it stresses | | ---- | ----------- | ------------------- | @@ -39,7 +39,7 @@ to a `function_call_output` with the same call ID, proving the tool executed. | `test_concurrent_distinct_keys` | scripted | 20 parallel invocations, no interference | | `test_parallel_tools_turnstile` | scripted | many tool calls in one turn and turnstile ordering | | `test_terminal_tool_error_fails_fast` | scripted | `TerminalError` -> terminal failure, no loop | -| `test_local_handoff` | scripted | native openai-agents handoff and agent-graph serialization | +| `test_local_handoff` | scripted | local agent delegation and agent-graph serialization | | `test_remote_handoff_serializes_across_rpc` | scripted | durable RPC and pydantic serde | Detection is deliberately simple: forced replay surfaces a journal mismatch in @@ -47,19 +47,6 @@ the SDK, and the harness client timeout prevents a mismatch retry loop from hanging CI indefinitely. `disable_retries=True` separately makes ordinary handler failures surface without retry backoff. -## Temporary replay probes - -Three tests marked `temporary_nondeterminism_probe` verify the test setup itself: -two deliberately fail by introducing non-deterministic journal commands, while -one proves randomness inside `ctx.run` replays cleanly. A correct probe run ends -with **2 failed, 1 passed** and shows the journal-mismatch trace for both failures. -Delete the marked block in `test_openai.py` and its marker registration once -these deliberately red canaries are no longer useful. - -```shell -uv run -m pytest ai-tests/test_openai.py -m temporary_nondeterminism_probe -v -``` - ## Running locally Requires Docker. `just test-ai` runs the full suite -- both the scripted and @@ -72,14 +59,16 @@ just test-ai The scripted tests need no key; the live tests require `OPENAI_API_KEY` and fail (rather than skip) without one, since a configured live run is meaningless -without a real model. The tests print their full generated item lists; use `-s` -to disable pytest output capture and see them. To run only the scripted half -(no key): +without a real model. The recipes print full generated messages with pytest +capture disabled. To run both scripted suites without a key: ```shell -uv run -m pytest ai-tests/ -m "not live_model" -v -s +just test-ai-scripted ``` +Use `just test-ai-openai` or `just test-ai-pydantic` to run one integration's +full scripted + live matrix in its isolated environment. + These tests are **not** part of `just test` / `just verify`. In CI they run on PRs to `main` (`AI Integration` workflow): the scripted tests on every PR (including forks), the live tests only when repository secrets are available. @@ -89,7 +78,7 @@ agent-SDK version before bumping. ## Extending - **New integration:** add `_service.py` (mirroring an app from - restatedev/ai-examples) and `test_.py`. - Keep each integration's deps isolated once more than one is in play. + restatedev/ai-examples), `_model_stub.py`, and `test_.py`, plus an + isolated `Justfile` recipe containing only that integration's optional extra. - **More scenarios:** failure injection (kill the service mid-invocation), higher concurrency (100), sequential/orchestrator workflows. diff --git a/ai-tests/model_stub.py b/ai-tests/openai_model_stub.py similarity index 100% rename from ai-tests/model_stub.py rename to ai-tests/openai_model_stub.py diff --git a/ai-tests/test_openai.py b/ai-tests/openai_test.py similarity index 99% rename from ai-tests/test_openai.py rename to ai-tests/openai_test.py index 1e80322..c7a69bd 100644 --- a/ai-tests/test_openai.py +++ b/ai-tests/openai_test.py @@ -18,7 +18,6 @@ from __future__ import annotations import asyncio -import json import os import pytest import restate @@ -35,7 +34,7 @@ message, triage_run, ) -from model_stub import ScriptedModel +from openai_model_stub import ScriptedModel AgentRunItems = list[dict[str, Any]] diff --git a/ai-tests/pydantic_model_stub.py b/ai-tests/pydantic_model_stub.py new file mode 100644 index 0000000..d08e4e9 --- /dev/null +++ b/ai-tests/pydantic_model_stub.py @@ -0,0 +1,100 @@ +from __future__ import annotations + +from pydantic_ai.messages import ( + ModelMessage, + ModelRequest, + ModelResponse, + TextPart, + ToolCallPart, + ToolReturnPart, + UserPromptPart, +) +from pydantic_ai.models.function import AgentInfo, FunctionModel + + +class ScriptedPydanticModel(FunctionModel): + """Returns deterministic Pydantic AI messages for every test scenario.""" + + cities = ("Paris", "London", "Tokyo", "Berlin", "Rome") + + def __init__(self) -> None: + super().__init__(self._response, model_name="scripted-pydantic") + + def _response(self, messages: list[ModelMessage], agent_info: AgentInfo) -> ModelResponse: + tool_names = {tool.name for tool in agent_info.function_tools} + prompt = self._latest_prompt(messages) + + if "In which country is it?" in prompt: + return self._text_response("France") + + if "What is the capital of France?" in prompt: + return self._text_response("Paris") + + if "get_weather" in tool_names: + cities = [city for city in self.cities if city in prompt] + if not cities: + return self._text_response("Done.") + call_ids = {f"weather-{city.lower()}" for city in cities} + if self._has_tool_returns(messages, call_ids): + return self._text_response("Done.") + return ModelResponse( + parts=[ + ToolCallPart("get_weather", {"city": city}, tool_call_id=f"weather-{city.lower()}") + for city in cities + ] + ) + + if "explode" in tool_names: + return ModelResponse( + parts=[ToolCallPart("explode", {"reason": "scripted failure"}, tool_call_id="explode")] + ) + + if "ask_specialist" in tool_names: + if self._has_tool_returns(messages, {"ask-specialist"}): + return self._text_response("Done.") + return ModelResponse( + parts=[ + ToolCallPart( + "ask_specialist", + {"question": "How do I speed up a slow SQL query?"}, + tool_call_id="ask-specialist", + ) + ] + ) + + if "handoff_to_billing" in tool_names: + if self._has_tool_returns(messages, {"billing-handoff"}): + return self._text_response("Done.") + return ModelResponse( + parts=[ + ToolCallPart( + "handoff_to_billing", + {"question": "I was double charged on my invoice."}, + tool_call_id="billing-handoff", + ) + ] + ) + + return self._text_response("Done.") + + @staticmethod + def _latest_prompt(messages: list[ModelMessage]) -> str: + for message in reversed(messages): + if isinstance(message, ModelRequest): + for part in reversed(message.parts): + if isinstance(part, UserPromptPart): + return part.content if isinstance(part.content, str) else str(part.content) + return "" + + @staticmethod + def _has_tool_returns(messages: list[ModelMessage], call_ids: set[str]) -> bool: + return any( + isinstance(part, ToolReturnPart) and part.tool_call_id in call_ids + for message in messages + if isinstance(message, ModelRequest) + for part in message.parts + ) + + @staticmethod + def _text_response(text: str) -> ModelResponse: + return ModelResponse(parts=[TextPart(text)]) diff --git a/ai-tests/pydantic_service.py b/ai-tests/pydantic_service.py new file mode 100644 index 0000000..be3a169 --- /dev/null +++ b/ai-tests/pydantic_service.py @@ -0,0 +1,176 @@ +"""Pydantic AI services used by the AI integration tests.""" + +from __future__ import annotations + +import json +import os +import uuid + +import restate +from typing import Any +from pydantic import BaseModel +from pydantic_ai import Agent +from pydantic_ai.messages import ModelMessage, ModelMessagesTypeAdapter +from pydantic_ai.models.openai import OpenAIChatModel +from pydantic_ai.providers.openai import OpenAIProvider +from restate import Context, ObjectContext, ObjectSharedContext, TerminalError +from restate.ext.pydantic import PydanticTypeAdapter, RestateAgent, restate_context, restate_object_context + +MODEL = OpenAIChatModel( + "gpt-4o-mini", + provider=OpenAIProvider(api_key=os.environ.get("OPENAI_API_KEY", "scripted-tests-replace-this-model")), +) +MESSAGE_HISTORY_SERDE = PydanticTypeAdapter(list[ModelMessage]) + + +def generated_messages(result: Any) -> list[dict[str, Any]]: + """Return all Pydantic AI messages generated by one run.""" + return json.loads(result.new_messages_json()) + + +def serialized_messages(messages: list[ModelMessage]) -> list[dict[str, Any]]: + return json.loads(ModelMessagesTypeAdapter.dump_json(messages)) + + +weather_base = Agent( + MODEL, + instructions=( + "You are a concise assistant. When the user asks about weather you MUST call get_weather. " + "Answer in one short sentence per city." + ), +) + + +@weather_base.tool_plain +async def get_weather(city: str) -> str: + """Get the current weather for a city.""" + return f"The weather in {city} is sunny and 22 degrees Celsius." + + +weather_agent = RestateAgent(weather_base, auto_wrap_tools=False) +agent_object = restate.VirtualObject("PydanticAgentObject") + + +@agent_object.handler() +async def message(ctx: ObjectContext, prompt: str) -> list[dict[str, Any]]: + history = await ctx.get("messages", serde=MESSAGE_HISTORY_SERDE) or [] + result = await weather_agent.run(prompt, message_history=history) + ctx.set("messages", result.all_messages(), serde=MESSAGE_HISTORY_SERDE) + return generated_messages(result) + + +@agent_object.handler(kind="shared") +async def get_session_messages(ctx: ObjectSharedContext) -> list[dict[str, Any]]: + history = await ctx.get("messages", serde=MESSAGE_HISTORY_SERDE) or [] + return serialized_messages(history) + + +failing_base = Agent(MODEL, instructions="You MUST call explode for every request. Never answer directly.") + + +@failing_base.tool_plain +async def explode(reason: str) -> str: + """Process the request and always fail permanently.""" + raise TerminalError(f"tool failed permanently: {reason}") + + +failing_agent = RestateAgent(failing_base, auto_wrap_tools=True) +failing_service = restate.Service("PydanticFailingAgent") + + +@failing_service.handler() +async def failing_run(ctx: Context, prompt: str) -> str: + result = await failing_agent.run(prompt) + return result.output + + +billing_agent = RestateAgent(Agent(MODEL, instructions="You handle billing questions. Reply in one sentence.")) +triage_base = Agent( + MODEL, + instructions=( + "For billing, invoice, refund, or payment questions you MUST call handoff_to_billing. Do not answer directly." + ), +) + + +@triage_base.tool_plain +async def handoff_to_billing(question: str) -> str: + """Delegate a billing question to the local billing agent.""" + result = await billing_agent.run(question) + return result.output + + +triage_agent = RestateAgent(triage_base) +triage_service = restate.Service("PydanticTriageAgent") + + +@triage_service.handler() +async def triage_run(ctx: Context, question: str) -> list[dict[str, Any]]: + result = await triage_agent.run(question) + return generated_messages(result) + + +class SpecialistRequest(BaseModel): + question: str + + +class SpecialistReply(BaseModel): + answer: str + + +specialist_agent = RestateAgent(Agent(MODEL, instructions="You are a database expert. Reply in one sentence.")) +specialist_service = restate.Service("PydanticRemoteSpecialist") + + +@specialist_service.handler() +async def specialist_answer(ctx: Context, request: SpecialistRequest) -> SpecialistReply: + result = await specialist_agent.run(request.question) + return SpecialistReply(answer=result.output) + + +coordinator_base = Agent( + MODEL, + instructions=( + "For any database or specialist question you MUST call ask_specialist and return its answer. " + "Do not answer directly." + ), +) + + +@coordinator_base.tool_plain +async def ask_specialist(question: str) -> str: + """Ask the remote database specialist a question.""" + reply = await restate_context().service_call(specialist_answer, arg=SpecialistRequest(question=question)) + return reply.answer + + +coordinator_agent = RestateAgent(coordinator_base) +coordinator_service = restate.Service("PydanticCoordinator") + + +@coordinator_service.handler() +async def coordinator_run(ctx: Context, question: str) -> list[dict[str, Any]]: + result = await coordinator_agent.run(question) + return generated_messages(result) + + +DURABLE_AGENTS = [ + weather_agent, + failing_agent, + billing_agent, + triage_agent, + specialist_agent, + coordinator_agent, +] + + +def app(): + return restate.app( + [ + agent_object, + failing_service, + triage_service, + specialist_service, + coordinator_service, + ] + ) diff --git a/ai-tests/pydantic_test.py b/ai-tests/pydantic_test.py new file mode 100644 index 0000000..1bb6e2f --- /dev/null +++ b/ai-tests/pydantic_test.py @@ -0,0 +1,180 @@ +"""Pydantic AI integration tests against scripted and live models.""" + +from __future__ import annotations + +import asyncio +import json +import os +from collections.abc import AsyncIterator +from contextlib import asynccontextmanager +from typing import Any + +import pytest +import restate +from restate.client_types import HttpError, RestateClient +from restate.ext.pydantic import RestateModelWrapper + +import pydantic_service +from pydantic_model_stub import ScriptedPydanticModel +from pydantic_service import ( + coordinator_run, + failing_run, + get_session_messages, + message, + triage_run, +) + +AgentMessages = list[dict[str, Any]] + + +def print_messages(label: str, messages: object) -> None: + print(f"\n--- {label}: new messages ---", flush=True) + print(json.dumps(messages, indent=2, sort_keys=True, default=str), flush=True) + + +def message_parts(messages: AgentMessages) -> list[dict[str, Any]]: + return [part for message in messages for part in message.get("parts", []) if isinstance(part, dict)] + + +def response_text(messages: AgentMessages) -> str: + return "".join(str(part.get("content", "")) for part in message_parts(messages) if part.get("part_kind") == "text") + + +def assert_completed(messages: AgentMessages) -> None: + assert response_text(messages).strip(), f"run did not produce a final text response: {messages!r}" + + +def assert_tool_executed(messages: AgentMessages, tool_name: str, minimum_calls: int = 1) -> None: + parts = message_parts(messages) + call_ids = [ + part.get("tool_call_id") + for part in parts + if part.get("part_kind") == "tool-call" and part.get("tool_name") == tool_name + ] + assert len(call_ids) >= minimum_calls, f"expected {tool_name!r} to be called, got: {messages!r}" + + return_ids = {part.get("tool_call_id") for part in parts if part.get("part_kind") == "tool-return"} + missing_returns = [call_id for call_id in call_ids if call_id not in return_ids] + assert not missing_returns, f"{tool_name!r} calls did not complete: {missing_returns!r}" + + +@pytest.fixture(scope="session") +def anyio_backend(): + return "asyncio" + + +def use_scripted_model(monkeypatch: pytest.MonkeyPatch) -> None: + model = ScriptedPydanticModel() + for agent in pydantic_service.DURABLE_AGENTS: + wrapper = agent.model + assert isinstance(wrapper, RestateModelWrapper) + monkeypatch.setattr(wrapper, "wrapped", model) + + +@pytest.fixture +def scripted_model(monkeypatch: pytest.MonkeyPatch) -> None: + use_scripted_model(monkeypatch) + + +@pytest.fixture( + params=[ + pytest.param("scripted", id="scripted"), + pytest.param("live", id="live", marks=pytest.mark.live_model), + ] +) +def model_mode(request: pytest.FixtureRequest, monkeypatch: pytest.MonkeyPatch) -> str: + mode = request.param + if mode == "live": + if not os.environ.get("OPENAI_API_KEY"): + pytest.fail( + "OPENAI_API_KEY is not set; live AI integration tests require a real OpenAI key.", + pytrace=False, + ) + else: + use_scripted_model(monkeypatch) + return mode + + +@asynccontextmanager +async def harness_client() -> AsyncIterator[RestateClient]: + async with restate.create_test_harness( + pydantic_service.app(), + follow_logs=True, + disable_retries=True, + always_replay=True, + ) as harness: + yield harness.client + + +async def test_agent_tool_call_replays_cleanly(model_mode: str): + async with harness_client() as client: + messages = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") + print_messages(f"weather tool ({model_mode})", messages) + assert_tool_executed(messages, "get_weather") + assert_completed(messages) + + +async def test_multi_turn_session(model_mode: str): + async with harness_client() as client: + first_messages = await client.object_call(message, key="u", arg="What is the capital of France?") + second_messages = await client.object_call(message, key="u", arg="In which country is it?") + session_messages = await client.object_call(get_session_messages, key="u", arg=None) + print_messages(f"multi-turn first message ({model_mode})", first_messages) + print_messages(f"multi-turn second message ({model_mode})", second_messages) + print_messages(f"multi-turn session state ({model_mode})", session_messages) + assert_completed(first_messages) + assert_completed(second_messages) + assert "paris" in response_text(first_messages).lower() + assert session_messages, "Pydantic AI session state is empty" + + +async def test_concurrent_distinct_keys(scripted_model: None): + async with harness_client() as client: + count = 20 + results = await asyncio.gather( + *[client.object_call(message, key=f"user-{index}", arg="Reply with exactly: OK") for index in range(count)] + ) + print_messages("concurrent distinct keys", results) + assert len(results) == count + for messages in results: + assert_completed(messages) + + +async def test_parallel_tools_turnstile(scripted_model: None): + cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] + async with harness_client() as client: + messages = await client.object_call( + message, + key="cities", + arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", + ) + print_messages("parallel weather tools", messages) + assert_tool_executed(messages, "get_weather", minimum_calls=len(cities)) + assert_completed(messages) + + +async def test_terminal_tool_error_fails_fast(scripted_model: None): + async with harness_client() as client: + with pytest.raises(HttpError) as exc: + await client.service_call(failing_run, arg="please process my request") + print_messages("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) + assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" + assert "tool failed permanently" in (exc.value.body or "") + + +async def test_local_handoff(scripted_model: None): + async with harness_client() as client: + messages = await client.service_call(triage_run, arg="I was double charged on my invoice, can I get a refund?") + print_messages("local handoff", messages) + assert_tool_executed(messages, "handoff_to_billing") + assert_completed(messages) + + +async def test_remote_handoff_serializes_across_rpc(scripted_model: None): + async with harness_client() as client: + messages = await client.service_call( + coordinator_run, arg="How do I speed up a slow SQL query with a missing index?" + ) + print_messages("remote specialist tool", messages) + assert_tool_executed(messages, "ask_specialist") + assert_completed(messages) diff --git a/pyproject.toml b/pyproject.toml index 85b568f..503a288 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,7 +28,7 @@ serde = ["dacite", "pydantic", "msgspec"] client = ["httpx[http2]"] adk = ["google-adk>=1.20.0"] openai = ["openai-agents>=0.6.1"] -pydantic_ai = ["pydantic-ai-slim>=1.68.0"] +pydantic_ai = ["pydantic-ai-slim[mcp,openai]>=1.68.0"] langchain = ["langchain>=1.0.0", "langgraph>=1.0.0", "langchain-core>=1.0.0"] tracing = ["opentelemetry-api>=1.36.0"] zstd = [ diff --git a/uv.lock b/uv.lock deleted file mode 100644 index 0f4ffc0..0000000 --- a/uv.lock +++ 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ai-tests/langchain_service.py | 180 ++++++++++++++++++++++++++++ ai-tests/langchain_test.py | 199 +++++++++++++++++++++++++++++++ 3 files changed, 474 insertions(+) create mode 100644 ai-tests/langchain_model_stub.py create mode 100644 ai-tests/langchain_service.py create mode 100644 ai-tests/langchain_test.py diff --git a/ai-tests/langchain_model_stub.py b/ai-tests/langchain_model_stub.py new file mode 100644 index 0000000..74637e8 --- /dev/null +++ b/ai-tests/langchain_model_stub.py @@ -0,0 +1,95 @@ +from __future__ import annotations + +from typing import Any + +from langchain_core.callbacks.manager import AsyncCallbackManagerForLLMRun +from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, ToolMessage +from langchain_core.outputs import ChatGeneration, ChatResult +from langchain_openai import ChatOpenAI + +CITIES = ("Paris", "London", "Tokyo", "Berlin", "Rome") + + +async def scripted_agenerate( + model: ChatOpenAI, + messages: list[BaseMessage], + stop: list[str] | None = None, + run_manager: AsyncCallbackManagerForLLMRun | None = None, + **kwargs: Any, +) -> ChatResult: + """Replace only the provider call while retaining ChatOpenAI tool binding.""" + del model, stop, run_manager + tool_names = { + str(function.get("name", "")) + for tool in kwargs.get("tools", []) + if isinstance(tool, dict) and isinstance(function := tool.get("function"), dict) + } + return ChatResult(generations=[ChatGeneration(message=_response(messages, tool_names))]) + + +def _response(messages: list[BaseMessage], tool_names: set[str]) -> AIMessage: + prompt = _latest_prompt(messages) + + if "In which country is it?" in prompt: + return AIMessage(content="France") + + if "What is the capital of France?" in prompt: + return AIMessage(content="Paris") + + if "get_weather" in tool_names: + cities = [city for city in CITIES if city in prompt] + if not cities or _has_tool_returns(messages, {f"weather-{city.lower()}" for city in cities}): + return AIMessage(content="Done.") + return AIMessage( + content="", + tool_calls=[ + { + "name": "get_weather", + "args": {"city": city}, + "id": f"weather-{city.lower()}", + "type": "tool_call", + } + for city in cities + ], + ) + + if "explode" in tool_names: + return _tool_call("explode", {"reason": "scripted failure"}, "explode") + + if "ask_specialist" in tool_names: + if _has_tool_returns(messages, {"ask-specialist"}): + return AIMessage(content="Done.") + return _tool_call( + "ask_specialist", + {"question": "How do I speed up a slow SQL query?"}, + "ask-specialist", + ) + + if "handoff_to_billing" in tool_names: + if _has_tool_returns(messages, {"billing-handoff"}): + return AIMessage(content="Done.") + return _tool_call( + "handoff_to_billing", + {"question": "I was double charged on my invoice."}, + "billing-handoff", + ) + + return AIMessage(content="Done.") + + +def _latest_prompt(messages: list[BaseMessage]) -> str: + for message in reversed(messages): + if isinstance(message, HumanMessage): + return message.content if isinstance(message.content, str) else str(message.content) + return "" + + +def _has_tool_returns(messages: list[BaseMessage], call_ids: set[str]) -> bool: + return any(isinstance(message, ToolMessage) and message.tool_call_id in call_ids for message in messages) + + +def _tool_call(name: str, args: dict[str, str], call_id: str) -> AIMessage: + return AIMessage( + content="", + tool_calls=[{"name": name, "args": args, "id": call_id, "type": "tool_call"}], + ) diff --git a/ai-tests/langchain_service.py b/ai-tests/langchain_service.py new file mode 100644 index 0000000..cd3c462 --- /dev/null +++ b/ai-tests/langchain_service.py @@ -0,0 +1,180 @@ +"""LangChain services used by the AI integration tests.""" + +from __future__ import annotations + +import os +from typing import Any, cast + +import restate +from langchain.agents import create_agent +from langchain_core.messages import ( + HumanMessage, + messages_from_dict, + messages_to_dict, +) +from langchain_core.tools import tool +from langchain_openai import ChatOpenAI +from pydantic import BaseModel, SecretStr +from restate import Context, ObjectContext, ObjectSharedContext, TerminalError +from restate.ext.langchain import RestateMiddleware, restate_context, restate_object_context + +MODEL = ChatOpenAI( + model="gpt-4o-mini", + api_key=SecretStr(os.environ.get("OPENAI_API_KEY", "scripted-tests-replace-this-model")), + max_retries=0, +) +LLM_RUN_OPTIONS: restate.RunOptions[Any] = restate.RunOptions(max_attempts=1) +SerializedMessages = list[dict[str, Any]] + + +@tool +async def get_weather(city: str) -> dict[str, str]: + """Get the current weather for a city.""" + + async def call_weather_api() -> dict[str, str]: + return {"city": city, "weather": "sunny and 22 degrees Celsius"} + + return await restate_object_context().run_typed(f"get weather for {city}", call_weather_api) + + +weather_agent = create_agent( + model=MODEL, + tools=[get_weather], + system_prompt=( + "You are a concise assistant. When the user asks about weather you MUST call get_weather. " + "Answer in one short sentence per city." + ), + middleware=[RestateMiddleware(run_options=LLM_RUN_OPTIONS)], +) +agent_object = restate.VirtualObject("LangChainAgentObject") + + +@agent_object.handler() +async def message(ctx: ObjectContext, prompt: str) -> SerializedMessages: + stored_history = await ctx.get("messages", type_hint=list[dict[str, Any]]) or [] + history = messages_from_dict(stored_history) + input_messages = [*history, HumanMessage(content=prompt, id=str(ctx.uuid()))] + result = await weather_agent.ainvoke(cast(Any, {"messages": input_messages})) + serialized_messages = messages_to_dict(result["messages"]) + ctx.set("messages", serialized_messages) + return serialized_messages + + +@agent_object.handler(kind="shared") +async def get_session_messages(ctx: ObjectSharedContext) -> SerializedMessages: + return await ctx.get("messages", type_hint=list[dict[str, Any]]) or [] + + +@tool +async def explode(reason: str) -> dict[str, str]: + """Process the request and always fail permanently.""" + raise TerminalError(f"tool failed permanently: {reason}") + + +failing_agent = create_agent( + model=MODEL, + tools=[explode], + system_prompt="You MUST call explode for every request. Never answer directly.", + middleware=[RestateMiddleware(run_options=LLM_RUN_OPTIONS)], +) +failing_service = restate.Service("LangChainFailingAgent") + + +@failing_service.handler() +async def failing_run(ctx: Context, prompt: str) -> str: + await failing_agent.ainvoke({"messages": [HumanMessage(content=prompt, id=str(ctx.uuid()))]}) + return "unexpected success" + + +billing_agent = create_agent( + model=MODEL, + system_prompt="You handle billing questions. Reply in one sentence.", + middleware=[RestateMiddleware(run_options=LLM_RUN_OPTIONS)], +) + + +@tool +async def handoff_to_billing(question: str) -> dict[str, str]: + """Delegate a billing question to the local billing agent.""" + ctx = restate_context() + result = await billing_agent.ainvoke({"messages": [HumanMessage(content=question, id=str(ctx.uuid()))]}) + return {"answer": str(result["messages"][-1].content)} + + +triage_agent = create_agent( + model=MODEL, + tools=[handoff_to_billing], + system_prompt=( + "For billing, invoice, refund, or payment questions you MUST call handoff_to_billing. Do not answer directly." + ), + middleware=[RestateMiddleware(run_options=LLM_RUN_OPTIONS)], +) +triage_service = restate.Service("LangChainTriageAgent") + + +@triage_service.handler() +async def triage_run(ctx: Context, question: str) -> SerializedMessages: + result = await triage_agent.ainvoke({"messages": [HumanMessage(content=question, id=str(ctx.uuid()))]}) + return messages_to_dict(result["messages"]) + + +class SpecialistRequest(BaseModel): + question: str + + +class SpecialistReply(BaseModel): + answer: str + + +specialist_agent = create_agent( + model=MODEL, + system_prompt="You are a database expert. Reply in one sentence.", + middleware=[RestateMiddleware(run_options=LLM_RUN_OPTIONS)], +) +specialist_service = restate.Service("LangChainRemoteSpecialist") + + +@specialist_service.handler() +async def specialist_answer(ctx: Context, request: SpecialistRequest) -> SpecialistReply: + result = await specialist_agent.ainvoke({"messages": [HumanMessage(content=request.question, id=str(ctx.uuid()))]}) + return SpecialistReply(answer=str(result["messages"][-1].content)) + + +@tool +async def ask_specialist(question: str) -> dict[str, str]: + """Ask the remote database specialist a question.""" + reply = await restate_context().service_call( + specialist_answer, + arg=SpecialistRequest(question=question), + ) + return {"answer": reply.answer} + + +coordinator_agent = create_agent( + model=MODEL, + tools=[ask_specialist], + system_prompt=( + "For any database or specialist question you MUST call ask_specialist and return its answer. " + "Do not answer directly." + ), + middleware=[RestateMiddleware(run_options=LLM_RUN_OPTIONS)], +) +coordinator_service = restate.Service("LangChainCoordinator") + + +@coordinator_service.handler() +async def coordinator_run(ctx: Context, question: str) -> SerializedMessages: + result = await coordinator_agent.ainvoke({"messages": [HumanMessage(content=question, id=str(ctx.uuid()))]}) + return messages_to_dict(result["messages"]) + + +def app(): + return restate.app( + [ + agent_object, + failing_service, + triage_service, + specialist_service, + coordinator_service, + ] + ) diff --git a/ai-tests/langchain_test.py b/ai-tests/langchain_test.py new file mode 100644 index 0000000..8fcad62 --- /dev/null +++ b/ai-tests/langchain_test.py @@ -0,0 +1,199 @@ +"""LangChain integration tests against scripted and live OpenAI models.""" + +from __future__ import annotations + +import asyncio +import json +import os +from collections.abc import AsyncIterator +from contextlib import asynccontextmanager +from typing import Any + +import pytest +import restate +from langchain_openai import ChatOpenAI +from restate.client_types import HttpError, RestateClient + +import langchain_service +from langchain_model_stub import scripted_agenerate +from langchain_service import ( + coordinator_run, + failing_run, + get_session_messages, + message, + triage_run, +) + +AgentMessages = list[dict[str, Any]] + + +def print_messages(label: str, messages: object) -> None: + print(f"\n--- {label}: messages ---", flush=True) + print(json.dumps(messages, indent=2, sort_keys=True, default=str), flush=True) + + +def response_text(messages: AgentMessages) -> str: + text = "" + for serialized_message in messages: + if serialized_message.get("type") != "ai" or not isinstance(data := serialized_message.get("data"), dict): + continue + content = data.get("content") + if isinstance(content, str): + text += content + elif isinstance(content, list): + text += "".join( + str(block.get("text", "")) for block in content if isinstance(block, dict) and block.get("text") + ) + return text + + +def assert_completed(messages: AgentMessages) -> None: + assert response_text(messages).strip(), f"run did not produce a final text response: {messages!r}" + + +def assert_tool_executed(messages: AgentMessages, tool_name: str, minimum_calls: int = 1) -> None: + call_ids = [ + tool_call.get("id") + for serialized_message in messages + if serialized_message.get("type") == "ai" and isinstance(data := serialized_message.get("data"), dict) + for tool_call in data.get("tool_calls", []) + if isinstance(tool_call, dict) and tool_call.get("name") == tool_name + ] + assert len(call_ids) >= minimum_calls, f"expected {tool_name!r} to be called, got: {messages!r}" + + output_ids = { + data.get("tool_call_id") + for serialized_message in messages + if serialized_message.get("type") == "tool" and isinstance(data := serialized_message.get("data"), dict) + } + missing_outputs = [call_id for call_id in call_ids if call_id not in output_ids] + assert not missing_outputs, f"{tool_name!r} calls did not complete: {missing_outputs!r}" + + +@pytest.fixture(scope="session") +def anyio_backend(): + return "asyncio" + + +@pytest.fixture +def scripted_model(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(ChatOpenAI, "_agenerate", scripted_agenerate) + + +@pytest.fixture +def live_model() -> None: + if not os.environ.get("OPENAI_API_KEY"): + pytest.fail( + "OPENAI_API_KEY is not set; live LangChain tests require a real OpenAI key.", + pytrace=False, + ) + + +@asynccontextmanager +async def harness_client() -> AsyncIterator[RestateClient]: + async with restate.create_test_harness( + langchain_service.app(), + follow_logs=True, + disable_retries=True, + always_replay=True, + ) as harness: + yield harness.client + + +async def test_agent_tool_call_replays_cleanly(scripted_model: None): + async with harness_client() as client: + messages = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") + print_messages("weather tool (scripted)", messages) + assert_tool_executed(messages, "get_weather") + assert_completed(messages) + + +@pytest.mark.live_model +async def test_agent_tool_call_live_replays_cleanly(live_model: None): + async with harness_client() as client: + messages = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") + print_messages("weather tool (live)", messages) + assert_tool_executed(messages, "get_weather") + assert_completed(messages) + + +async def test_multi_turn_session(scripted_model: None): + async with harness_client() as client: + first_messages = await client.object_call(message, key="u", arg="What is the capital of France?") + second_messages = await client.object_call(message, key="u", arg="In which country is it?") + session_messages = await client.object_call(get_session_messages, key="u", arg=None) + print_messages("multi-turn first message (scripted)", first_messages) + print_messages("multi-turn second message (scripted)", second_messages) + print_messages("multi-turn session state (scripted)", session_messages) + assert_completed(first_messages) + assert_completed(second_messages) + assert "france" in response_text(second_messages).lower() + assert session_messages, "LangChain session state is empty" + + +@pytest.mark.live_model +async def test_multi_turn_session_live(live_model: None): + async with harness_client() as client: + first_messages = await client.object_call(message, key="u", arg="What is the capital of France?") + second_messages = await client.object_call(message, key="u", arg="In which country is it?") + session_messages = await client.object_call(get_session_messages, key="u", arg=None) + print_messages("multi-turn first message (live)", first_messages) + print_messages("multi-turn second message (live)", second_messages) + print_messages("multi-turn session state (live)", session_messages) + assert_completed(first_messages) + assert_completed(second_messages) + assert "france" in response_text(second_messages).lower() + assert session_messages, "LangChain session state is empty" + + +async def test_concurrent_distinct_keys(scripted_model: None): + async with harness_client() as client: + count = 20 + results = await asyncio.gather( + *[client.object_call(message, key=f"user-{index}", arg="Reply with exactly: OK") for index in range(count)] + ) + print_messages("concurrent distinct keys", results) + assert len(results) == count + for messages in results: + assert_completed(messages) + + +async def test_parallel_tools_turnstile(scripted_model: None): + cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] + async with harness_client() as client: + messages = await client.object_call( + message, + key="cities", + arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", + ) + print_messages("parallel weather tools", messages) + assert_tool_executed(messages, "get_weather", minimum_calls=len(cities)) + assert_completed(messages) + + +async def test_terminal_tool_error_fails_fast(scripted_model: None): + async with harness_client() as client: + with pytest.raises(HttpError) as exc: + await client.service_call(failing_run, arg="please process my request") + print_messages("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) + assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" + assert "tool failed permanently" in (exc.value.body or "") + + +async def test_local_handoff(scripted_model: None): + async with harness_client() as client: + messages = await client.service_call(triage_run, arg="I was double charged on my invoice, can I get a refund?") + print_messages("local handoff", messages) + assert_tool_executed(messages, "handoff_to_billing") + assert_completed(messages) + + +async def test_remote_handoff_serializes_across_rpc(scripted_model: None): + async with harness_client() as client: + messages = await client.service_call( + coordinator_run, + arg="How do I speed up a slow SQL query with a missing index?", + ) + print_messages("remote specialist tool", messages) + assert_tool_executed(messages, "ask_specialist") + assert_completed(messages) From 5f7320c8c4b962c131ddd80b7ed93dcd6d115076 Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Fri, 17 Jul 2026 14:04:48 +0200 Subject: [PATCH 08/12] add google adk tests --- Justfile | 10 +- ai-tests/README.md | 48 ++++-- ai-tests/google_adk_model_stub.py | 114 +++++++++++++ ai-tests/google_adk_service.py | 253 +++++++++++++++++++++++++++++ ai-tests/google_adk_test.py | 262 ++++++++++++++++++++++++++++++ 5 files changed, 671 insertions(+), 16 deletions(-) create mode 100644 ai-tests/google_adk_model_stub.py create mode 100644 ai-tests/google_adk_service.py create mode 100644 ai-tests/google_adk_test.py diff --git a/Justfile b/Justfile index 94d9f62..5e71f58 100644 --- a/Justfile +++ b/Justfile @@ -41,11 +41,19 @@ test-ai-openai: test-ai-pydantic: uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -v -s -test-ai: test-ai-openai test-ai-pydantic +test-ai-google-adk: + uv run --isolated --locked --extra test --extra harness --extra serde --extra adk -m pytest ai-tests/google_adk_test.py -v -s + +test-ai-langchain: + uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain -m pytest ai-tests/langchain_test.py -v -s + +test-ai: test-ai-openai test-ai-pydantic test-ai-google-adk test-ai-langchain test-ai-scripted: uv run --isolated --locked --extra test --extra harness --extra serde --extra openai -m pytest ai-tests/openai_test.py -m "not live_model" -v -s uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -m "not live_model" -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra adk -m pytest ai-tests/google_adk_test.py -m "not live_model" -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain -m pytest ai-tests/langchain_test.py -m "not live_model" -v -s # Recipe to run both mypy and pylint diff --git a/ai-tests/README.md b/ai-tests/README.md index 89a4688..d10784f 100644 --- a/ai-tests/README.md +++ b/ai-tests/README.md @@ -17,20 +17,35 @@ The goal is to catch, when an upstream agent SDK (or this SDK) is bumped: ## What is covered -Integrations: **openai-agents** (`openai_service.py`) and **pydantic-ai** -(`pydantic_service.py`). Each integration runs in its own isolated dependency -environment. Every scenario uses `always_replay=True` (forces a suspend/replay -on every await -- the HTTP/1.1-style path and the strongest non-determinism -detector) and `disable_retries=True`. Tool-call and multi-turn scenarios also -run against the live OpenAI API: 14 scripted + 4 live runs. +Integrations: **openai-agents** (`openai_service.py`), **pydantic-ai** +(`pydantic_service.py`), **Google ADK** (`google_adk_service.py`), and +**LangChain** (`langchain_service.py`). Each integration runs in its own +isolated dependency environment. Every scenario uses `always_replay=True` +(forces a suspend/replay on every await -- the HTTP/1.1-style path and the +strongest non-determinism detector) and `disable_retries=True`. Tool-call and +multi-turn scenarios also run against the live OpenAI or Gemini API: 28 +scripted + 8 live runs. These are integration and durability tests, not agent evaluations. Scripted responses drive the intended agent SDK protocol paths deterministically (e.g. the turnstile test is guaranteed five parallel tool calls). Live runs only require normal completion and matching tool-call outputs -- their job is catching real provider response-type drift through the journaling path. The -handlers return generated run items/messages so tests can match tool calls to -tool outputs with the same call ID, proving each tool executed. +handlers return generated run items, messages, or normalized ADK event contents +so tests can match tool calls to tool outputs with the same call ID, proving +each tool executed. + +LangChain's two live checks are separate `_live` tests. The service always uses +normal module-level `ChatOpenAI` agents. Scripted tests replace only +`ChatOpenAI._agenerate` at the provider boundary, leaving normal tool binding, +agent compilation, and `RestateMiddleware` execution unchanged. + +Google ADK follows the same shape: the service uses normal module-level Gemini +agents and explicit `App` / `Runner` setup. Scripted tests replace only +`Gemini.generate_content_async` at the provider boundary. All Google ADK tests +except the remote-RPC scenario run through a virtual object backed by +`RestateSessionService`; the remote-RPC scenario intentionally covers the +stateless service and in-memory session path. | Test | Model modes | Pattern it stresses | | ---- | ----------- | ------------------- | @@ -54,20 +69,23 @@ live tests: ```shell export OPENAI_API_KEY=sk-... +export GOOGLE_API_KEY=... just test-ai ``` -The scripted tests need no key; the live tests require `OPENAI_API_KEY` and -fail (rather than skip) without one, since a configured live run is meaningless -without a real model. The recipes print full generated messages with pytest -capture disabled. To run both scripted suites without a key: +The scripted tests need no key; the live tests require `OPENAI_API_KEY` for +OpenAI Agents, Pydantic AI, and LangChain, and `GOOGLE_API_KEY` for Google ADK. +They fail (rather than skip) without their key, since a configured live run is +meaningless without a real model. The recipes print full generated messages or +events with pytest capture disabled. To run all scripted suites without keys: ```shell just test-ai-scripted ``` -Use `just test-ai-openai` or `just test-ai-pydantic` to run one integration's -full scripted + live matrix in its isolated environment. +Use `just test-ai-openai`, `just test-ai-pydantic`, `just test-ai-google-adk`, +or `just test-ai-langchain` to run one integration's full scripted + live +matrix in its isolated environment. These tests are **not** part of `just test` / `just verify`. In CI they run on PRs to `main` (`AI Integration` workflow): the scripted tests on every PR @@ -78,7 +96,7 @@ agent-SDK version before bumping. ## Extending - **New integration:** add `_service.py` (mirroring an app from - restatedev/ai-examples), `_model_stub.py`, and `test_.py`, plus an + restatedev/ai-examples), `_model_stub.py`, and `_test.py`, plus an isolated `Justfile` recipe containing only that integration's optional extra. - **More scenarios:** failure injection (kill the service mid-invocation), higher concurrency (100), sequential/orchestrator workflows. diff --git a/ai-tests/google_adk_model_stub.py b/ai-tests/google_adk_model_stub.py new file mode 100644 index 0000000..883c3d0 --- /dev/null +++ b/ai-tests/google_adk_model_stub.py @@ -0,0 +1,114 @@ +from __future__ import annotations + +from collections.abc import AsyncGenerator + +from google.adk.models.google_llm import Gemini +from google.adk.models.llm_request import LlmRequest +from google.adk.models.llm_response import LlmResponse +from google.genai import types + +CITIES = ("Paris", "London", "Tokyo", "Berlin", "Rome") + + +async def scripted_generate_content_async( + model: Gemini, + llm_request: LlmRequest, + stream: bool = False, +) -> AsyncGenerator[LlmResponse, None]: + """Replace only the Gemini provider call while retaining normal ADK setup.""" + del model, stream + tool_names = set(llm_request.tools_dict) + prompt = _latest_prompt(llm_request) + + if "In which country is it?" in prompt: + yield _text_response("France") + return + + if "What is the capital of France?" in prompt: + yield _text_response("Paris") + return + + if "get_weather" in tool_names: + cities = [city for city in CITIES if city in prompt] + if not cities: + yield _text_response("Done.") + return + call_ids = {f"weather-{city.lower()}" for city in cities} + if _has_function_responses(llm_request, call_ids): + yield _text_response("Done.") + return + yield LlmResponse( + content=types.Content( + role="model", + parts=[ + types.Part( + function_call=types.FunctionCall( + id=f"weather-{city.lower()}", + name="get_weather", + args={"city": city}, + ) + ) + for city in cities + ], + ) + ) + return + + if "explode" in tool_names: + yield _tool_call("explode", {"reason": "scripted failure"}, "explode") + return + + if "ask_specialist" in tool_names: + if _has_function_responses(llm_request, {"ask-specialist"}): + yield _text_response("Done.") + else: + yield _tool_call( + "ask_specialist", + {"question": "How do I speed up a slow SQL query?"}, + "ask-specialist", + ) + return + + if "transfer_to_agent" in tool_names: + if _has_function_responses(llm_request, {"billing-handoff"}): + yield _text_response("Done.") + else: + yield _tool_call( + "transfer_to_agent", + {"agent_name": "billing_agent"}, + "billing-handoff", + ) + return + + yield _text_response("Done.") + + +def _latest_prompt(llm_request: LlmRequest) -> str: + for content in reversed(llm_request.contents): + if content.role != "user": + continue + for part in reversed(content.parts or []): + if part.text: + return part.text + return "" + + +def _has_function_responses(llm_request: LlmRequest, call_ids: set[str]) -> bool: + return any( + part.function_response is not None and part.function_response.id in call_ids + for content in llm_request.contents + for part in content.parts or [] + ) + + +def _text_response(text: str) -> LlmResponse: + return LlmResponse(content=types.Content(role="model", parts=[types.Part.from_text(text=text)])) + + +def _tool_call(name: str, args: dict[str, str], call_id: str) -> LlmResponse: + return LlmResponse( + content=types.Content( + role="model", + parts=[types.Part(function_call=types.FunctionCall(id=call_id, name=name, args=args))], + ) + ) diff --git a/ai-tests/google_adk_service.py b/ai-tests/google_adk_service.py new file mode 100644 index 0000000..032433a --- /dev/null +++ b/ai-tests/google_adk_service.py @@ -0,0 +1,253 @@ +"""Google ADK services used by the AI integration tests.""" + +from __future__ import annotations + +from typing import Any + +import restate +from google.adk import Runner +from google.adk.agents import Agent +from google.adk.apps import App +from google.adk.events import Event +from google.adk.sessions import InMemorySessionService, Session +from google.genai import types +from pydantic import BaseModel +from restate import Context, ObjectContext, ObjectSharedContext, TerminalError +from restate.ext.adk import RestatePlugin, RestateSessionService, restate_context, restate_object_context + +MODEL = "gemini-2.5-flash" +WEATHER_SESSION_ID = "weather" +FAILING_SESSION_ID = "failing" +TRIAGE_SESSION_ID = "triage" +LLM_RUN_OPTIONS: restate.RunOptions[Any] = restate.RunOptions(max_attempts=1) +AgentEvents = list[dict[str, Any]] + + +def normalized_event(event: Event) -> dict[str, Any]: + """Keep generated ADK content while excluding random event IDs and timestamps.""" + return { + "author": event.author, + "content": event.content.model_dump(mode="json") if event.content else None, + } + + +async def get_weather(city: str) -> dict[str, str]: + """Get the current weather for a city.""" + + async def call_weather_api() -> dict[str, str]: + return {"city": city, "weather": "sunny and 22 degrees Celsius"} + + return await restate_object_context().run_typed(f"get weather for {city}", call_weather_api) + + +weather_agent = Agent( + name="weather_agent", + model=MODEL, + instruction=( + "You are a concise assistant. When the user asks about weather you MUST call get_weather. " + "Answer in one short sentence per city." + ), + tools=[get_weather], +) +weather_adk_app = App( + name="adk_weather", + root_agent=weather_agent, + plugins=[RestatePlugin(run_options=LLM_RUN_OPTIONS)], +) +weather_session_service = RestateSessionService() +weather_runner = Runner(app=weather_adk_app, session_service=weather_session_service) + +agent_object = restate.VirtualObject("GoogleAdkAgentObject") + + +@agent_object.handler() +async def message(ctx: ObjectContext, prompt: str) -> AgentEvents: + if not await weather_session_service.has_session(session_id=WEATHER_SESSION_ID): + await weather_session_service.create_session( + app_name=weather_adk_app.name, + user_id=ctx.key(), + session_id=WEATHER_SESSION_ID, + ) + events = weather_runner.run_async( + user_id=ctx.key(), + session_id=WEATHER_SESSION_ID, + new_message=types.Content(role="user", parts=[types.Part.from_text(text=prompt)]), + ) + return [normalized_event(event) async for event in events] + + +@agent_object.handler(kind="shared") +async def get_session_events(ctx: ObjectSharedContext) -> AgentEvents: + session = await ctx.get(f"session_store::{WEATHER_SESSION_ID}", type_hint=Session) + return [normalized_event(event) for event in session.events] if session else [] + + +async def explode(reason: str) -> dict[str, str]: + """Process the request and always fail permanently.""" + raise TerminalError(f"tool failed permanently: {reason}") + + +failing_agent = Agent( + name="failing_agent", + model=MODEL, + instruction="You MUST call explode for every request. Never answer directly.", + tools=[explode], +) +failing_adk_app = App( + name="adk_failing", + root_agent=failing_agent, + plugins=[RestatePlugin(run_options=LLM_RUN_OPTIONS)], +) +failing_session_service = RestateSessionService() +failing_runner = Runner(app=failing_adk_app, session_service=failing_session_service) + + +@agent_object.handler() +async def failing_run(ctx: ObjectContext, prompt: str) -> str: + if not await failing_session_service.has_session(session_id=FAILING_SESSION_ID): + await failing_session_service.create_session( + app_name=failing_adk_app.name, + user_id=ctx.key(), + session_id=FAILING_SESSION_ID, + ) + async for _ in failing_runner.run_async( + user_id=ctx.key(), + session_id=FAILING_SESSION_ID, + new_message=types.Content(role="user", parts=[types.Part.from_text(text=prompt)]), + ): + pass + return "unexpected success" + + +billing_agent = Agent( + name="billing_agent", + description="Handles billing, invoices, refunds, and payments.", + model=MODEL, + instruction="You handle billing questions. Reply in one sentence.", + disallow_transfer_to_parent=True, +) +triage_agent = Agent( + name="triage_agent", + model=MODEL, + instruction="Transfer every billing, invoice, refund, or payment question to the billing agent.", + sub_agents=[billing_agent], +) +triage_adk_app = App( + name="adk_triage", + root_agent=triage_agent, + plugins=[RestatePlugin(run_options=LLM_RUN_OPTIONS)], +) +triage_session_service = RestateSessionService() +triage_runner = Runner(app=triage_adk_app, session_service=triage_session_service) + + +@agent_object.handler() +async def triage_run(ctx: ObjectContext, question: str) -> AgentEvents: + if not await triage_session_service.has_session(session_id=TRIAGE_SESSION_ID): + await triage_session_service.create_session( + app_name=triage_adk_app.name, + user_id=ctx.key(), + session_id=TRIAGE_SESSION_ID, + ) + events = triage_runner.run_async( + user_id=ctx.key(), + session_id=TRIAGE_SESSION_ID, + new_message=types.Content(role="user", parts=[types.Part.from_text(text=question)]), + ) + return [normalized_event(event) async for event in events] + + +class SpecialistRequest(BaseModel): + question: str + + +class SpecialistReply(BaseModel): + answer: str + + +specialist_agent = Agent( + name="specialist_agent", + model=MODEL, + instruction="You are a database expert. Reply in one sentence.", +) +specialist_adk_app = App( + name="adk_specialist", + root_agent=specialist_agent, + plugins=[RestatePlugin(run_options=LLM_RUN_OPTIONS)], +) +specialist_service = restate.Service("GoogleAdkRemoteSpecialist") + + +@specialist_service.handler() +async def specialist_answer(ctx: Context, request: SpecialistRequest) -> SpecialistReply: + session_service = InMemorySessionService() + session_id = str(ctx.uuid()) + await session_service.create_session( + app_name=specialist_adk_app.name, + user_id="test-user", + session_id=session_id, + ) + runner = Runner(app=specialist_adk_app, session_service=session_service) + answer = "" + async for event in runner.run_async( + user_id="test-user", + session_id=session_id, + new_message=types.Content(role="user", parts=[types.Part.from_text(text=request.question)]), + ): + if event.is_final_response() and event.content and event.content.parts: + answer = event.content.parts[0].text or "" + return SpecialistReply(answer=answer) + + +async def ask_specialist(question: str) -> dict[str, str]: + """Ask the remote database specialist a question.""" + reply = await restate_context().service_call( + specialist_answer, + arg=SpecialistRequest(question=question), + ) + return {"answer": reply.answer} + + +coordinator_agent = Agent( + name="coordinator_agent", + model=MODEL, + instruction=( + "For any database or specialist question you MUST call ask_specialist and return its answer. " + "Do not answer directly." + ), + tools=[ask_specialist], +) +coordinator_adk_app = App( + name="adk_coordinator", + root_agent=coordinator_agent, + plugins=[RestatePlugin(run_options=LLM_RUN_OPTIONS)], +) +coordinator_service = restate.Service("GoogleAdkCoordinator") + + +@coordinator_service.handler() +async def coordinator_run(ctx: Context, question: str) -> AgentEvents: + session_service = InMemorySessionService() + session_id = str(ctx.uuid()) + await session_service.create_session( + app_name=coordinator_adk_app.name, + user_id="test-user", + session_id=session_id, + ) + runner = Runner(app=coordinator_adk_app, session_service=session_service) + events = runner.run_async( + user_id="test-user", + session_id=session_id, + new_message=types.Content(role="user", parts=[types.Part.from_text(text=question)]), + ) + return [normalized_event(event) async for event in events] + + +def app(): + return restate.app( + [ + agent_object, + specialist_service, + coordinator_service, + ] + ) diff --git a/ai-tests/google_adk_test.py b/ai-tests/google_adk_test.py new file mode 100644 index 0000000..fdd7110 --- /dev/null +++ b/ai-tests/google_adk_test.py @@ -0,0 +1,262 @@ +"""Google ADK integration tests against scripted and live Gemini models.""" + +from __future__ import annotations + +import asyncio +import json +import os +from collections.abc import AsyncIterator +from typing import Any + +import pytest +import restate +from google.adk.models.google_llm import Gemini +from restate import HarnessEnvironment +from restate.client_types import HttpError + +import google_adk_service +from google_adk_model_stub import scripted_generate_content_async +from google_adk_service import ( + coordinator_run, + failing_run, + get_session_events, + message, + triage_run, +) + +AgentEvents = list[dict[str, Any]] + + +def print_events(label: str, events: object) -> None: + print(f"\n--- {label}: new events ---", flush=True) + print(json.dumps(events, indent=2, sort_keys=True, default=str), flush=True) + + +def event_parts(events: AgentEvents) -> list[dict[str, Any]]: + return [ + part + for event in events + if isinstance(event.get("content"), dict) + for part in event["content"].get("parts", []) + if isinstance(part, dict) + ] + + +def response_text(events: AgentEvents) -> str: + return "".join(str(part.get("text", "")) for part in event_parts(events) if part.get("text")) + + +def assert_completed(events: AgentEvents) -> None: + assert response_text(events).strip(), f"run did not produce a final text response: {events!r}" + + +def assert_tool_executed(events: AgentEvents, tool_name: str, minimum_calls: int = 1) -> None: + parts = event_parts(events) + call_ids = [ + function_call.get("id") + for part in parts + if isinstance(function_call := part.get("function_call"), dict) and function_call.get("name") == tool_name + ] + assert len(call_ids) >= minimum_calls, f"expected {tool_name!r} to be called, got: {events!r}" + + response_ids = { + function_response.get("id") + for part in parts + if isinstance(function_response := part.get("function_response"), dict) + } + missing_responses = [call_id for call_id in call_ids if call_id not in response_ids] + assert not missing_responses, f"{tool_name!r} calls did not complete: {missing_responses!r}" + + +@pytest.fixture(scope="session") +def anyio_backend(): + return "asyncio" + + +@pytest.fixture +def scripted_model(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Gemini, "generate_content_async", scripted_generate_content_async) + + +@pytest.fixture +def live_model() -> None: + if not os.environ.get("GOOGLE_API_KEY"): + pytest.fail( + "GOOGLE_API_KEY is not set; live Google ADK tests require a real Gemini key.", + pytrace=False, + ) + + +@pytest.fixture(scope="session") +async def restate_test_harness() -> AsyncIterator[HarnessEnvironment]: + async with restate.create_test_harness( + google_adk_service.app(), + follow_logs=True, + disable_retries=True, + always_replay=True, + ) as harness: + yield harness + + +async def test_agent_tool_call_replays_cleanly( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + events = await restate_test_harness.client.object_call( + message, + key="scripted-weather", + arg="What is the weather in Paris?", + ) + print_events("weather tool (scripted)", events) + assert_tool_executed(events, "get_weather") + assert_completed(events) + + +@pytest.mark.live_model +async def test_agent_tool_call_live_replays_cleanly( + restate_test_harness: HarnessEnvironment, + live_model: None, +): + events = await restate_test_harness.client.object_call( + message, + key="live-weather", + arg="What is the weather in Paris?", + ) + print_events("weather tool (live)", events) + assert_tool_executed(events, "get_weather") + assert_completed(events) + + +async def test_multi_turn_session( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + first_events = await restate_test_harness.client.object_call( + message, + key="scripted-multi-turn", + arg="What is the capital of France?", + ) + second_events = await restate_test_harness.client.object_call( + message, + key="scripted-multi-turn", + arg="In which country is it?", + ) + session_events = await restate_test_harness.client.object_call( + get_session_events, + key="scripted-multi-turn", + arg=None, + ) + print_events("multi-turn first message (scripted)", first_events) + print_events("multi-turn second message (scripted)", second_events) + print_events("multi-turn session state (scripted)", session_events) + assert_completed(first_events) + assert_completed(second_events) + assert "france" in response_text(second_events).lower() + assert session_events, "Google ADK session state is empty" + + +@pytest.mark.live_model +async def test_multi_turn_session_live( + restate_test_harness: HarnessEnvironment, + live_model: None, +): + first_events = await restate_test_harness.client.object_call( + message, + key="live-multi-turn", + arg="What is the capital of France?", + ) + second_events = await restate_test_harness.client.object_call( + message, + key="live-multi-turn", + arg="In which country is it?", + ) + session_events = await restate_test_harness.client.object_call( + get_session_events, + key="live-multi-turn", + arg=None, + ) + print_events("multi-turn first message (live)", first_events) + print_events("multi-turn second message (live)", second_events) + print_events("multi-turn session state (live)", session_events) + assert_completed(first_events) + assert_completed(second_events) + assert "france" in response_text(second_events).lower() + assert session_events, "Google ADK session state is empty" + + +async def test_concurrent_distinct_keys( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + count = 20 + results = await asyncio.gather( + *[ + restate_test_harness.client.object_call( + message, + key=f"concurrent-user-{index}", + arg="Reply with exactly: OK", + ) + for index in range(count) + ] + ) + print_events("concurrent distinct keys", results) + assert len(results) == count + for events in results: + assert_completed(events) + + +async def test_parallel_tools_turnstile( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] + events = await restate_test_harness.client.object_call( + message, + key="parallel-weather", + arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", + ) + print_events("parallel weather tools", events) + assert_tool_executed(events, "get_weather", minimum_calls=len(cities)) + assert_completed(events) + + +async def test_terminal_tool_error_fails_fast( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + with pytest.raises(HttpError) as exc: + await restate_test_harness.client.object_call( + failing_run, + key="terminal-error", + arg="please process my request", + ) + print_events("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) + assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" + assert "tool failed permanently" in (exc.value.body or "") + + +async def test_local_handoff( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + events = await restate_test_harness.client.object_call( + triage_run, + key="local-handoff", + arg="I was double charged on my invoice, can I get a refund?", + ) + print_events("local handoff", events) + assert_tool_executed(events, "transfer_to_agent") + assert_completed(events) + + +async def test_remote_handoff_serializes_across_rpc( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + events = await restate_test_harness.client.service_call( + coordinator_run, + arg="How do I speed up a slow SQL query with a missing index?", + ) + print_events("remote specialist tool", events) + assert_tool_executed(events, "ask_specialist") + assert_completed(events) From b961a5f0be28f90055fd6527d4b53575df2a88e1 Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Fri, 17 Jul 2026 14:15:44 +0200 Subject: [PATCH 09/12] use harness as fixture --- ai-tests/langchain_test.py | 246 +++++++++++++++++++++++-------------- ai-tests/openai_test.py | 170 +++++++++++++++---------- ai-tests/pydantic_test.py | 188 +++++++++++++++++----------- pyproject.toml | 8 +- 4 files changed, 376 insertions(+), 236 deletions(-) diff --git a/ai-tests/langchain_test.py b/ai-tests/langchain_test.py index 8fcad62..982e2ff 100644 --- a/ai-tests/langchain_test.py +++ b/ai-tests/langchain_test.py @@ -6,13 +6,13 @@ import json import os from collections.abc import AsyncIterator -from contextlib import asynccontextmanager from typing import Any import pytest import restate from langchain_openai import ChatOpenAI -from restate.client_types import HttpError, RestateClient +from restate import HarnessEnvironment +from restate.client_types import HttpError import langchain_service from langchain_model_stub import scripted_agenerate @@ -89,111 +89,171 @@ def live_model() -> None: ) -@asynccontextmanager -async def harness_client() -> AsyncIterator[RestateClient]: +@pytest.fixture(scope="session") +async def restate_test_harness() -> AsyncIterator[HarnessEnvironment]: async with restate.create_test_harness( langchain_service.app(), follow_logs=True, disable_retries=True, always_replay=True, ) as harness: - yield harness.client + yield harness -async def test_agent_tool_call_replays_cleanly(scripted_model: None): - async with harness_client() as client: - messages = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") - print_messages("weather tool (scripted)", messages) - assert_tool_executed(messages, "get_weather") - assert_completed(messages) +async def test_agent_tool_call_replays_cleanly( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + messages = await restate_test_harness.client.object_call( + message, + key="scripted-weather", + arg="What is the weather in Paris?", + ) + print_messages("weather tool (scripted)", messages) + assert_tool_executed(messages, "get_weather") + assert_completed(messages) @pytest.mark.live_model -async def test_agent_tool_call_live_replays_cleanly(live_model: None): - async with harness_client() as client: - messages = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") - print_messages("weather tool (live)", messages) - assert_tool_executed(messages, "get_weather") - assert_completed(messages) - - -async def test_multi_turn_session(scripted_model: None): - async with harness_client() as client: - first_messages = await client.object_call(message, key="u", arg="What is the capital of France?") - second_messages = await client.object_call(message, key="u", arg="In which country is it?") - session_messages = await client.object_call(get_session_messages, key="u", arg=None) - print_messages("multi-turn first message (scripted)", first_messages) - print_messages("multi-turn second message (scripted)", second_messages) - print_messages("multi-turn session state (scripted)", session_messages) - assert_completed(first_messages) - assert_completed(second_messages) - assert "france" in response_text(second_messages).lower() - assert session_messages, "LangChain session state is empty" +async def test_agent_tool_call_live_replays_cleanly( + restate_test_harness: HarnessEnvironment, + live_model: None, +): + messages = await restate_test_harness.client.object_call( + message, + key="live-weather", + arg="What is the weather in Paris?", + ) + print_messages("weather tool (live)", messages) + assert_tool_executed(messages, "get_weather") + assert_completed(messages) + + +async def test_multi_turn_session( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + first_messages = await restate_test_harness.client.object_call( + message, + key="scripted-multi-turn", + arg="What is the capital of France?", + ) + second_messages = await restate_test_harness.client.object_call( + message, + key="scripted-multi-turn", + arg="In which country is it?", + ) + session_messages = await restate_test_harness.client.object_call( + get_session_messages, + key="scripted-multi-turn", + arg=None, + ) + print_messages("multi-turn first message (scripted)", first_messages) + print_messages("multi-turn second message (scripted)", second_messages) + print_messages("multi-turn session state (scripted)", session_messages) + assert_completed(first_messages) + assert_completed(second_messages) + assert "france" in response_text(second_messages).lower() + assert session_messages, "LangChain session state is empty" @pytest.mark.live_model -async def test_multi_turn_session_live(live_model: None): - async with harness_client() as client: - first_messages = await client.object_call(message, key="u", arg="What is the capital of France?") - second_messages = await client.object_call(message, key="u", arg="In which country is it?") - session_messages = await client.object_call(get_session_messages, key="u", arg=None) - print_messages("multi-turn first message (live)", first_messages) - print_messages("multi-turn second message (live)", second_messages) - print_messages("multi-turn session state (live)", session_messages) - assert_completed(first_messages) - assert_completed(second_messages) - assert "france" in response_text(second_messages).lower() - assert session_messages, "LangChain session state is empty" - - -async def test_concurrent_distinct_keys(scripted_model: None): - async with harness_client() as client: - count = 20 - results = await asyncio.gather( - *[client.object_call(message, key=f"user-{index}", arg="Reply with exactly: OK") for index in range(count)] - ) - print_messages("concurrent distinct keys", results) - assert len(results) == count - for messages in results: - assert_completed(messages) - - -async def test_parallel_tools_turnstile(scripted_model: None): - cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] - async with harness_client() as client: - messages = await client.object_call( - message, - key="cities", - arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", - ) - print_messages("parallel weather tools", messages) - assert_tool_executed(messages, "get_weather", minimum_calls=len(cities)) - assert_completed(messages) - - -async def test_terminal_tool_error_fails_fast(scripted_model: None): - async with harness_client() as client: - with pytest.raises(HttpError) as exc: - await client.service_call(failing_run, arg="please process my request") - print_messages("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) - assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" - assert "tool failed permanently" in (exc.value.body or "") - - -async def test_local_handoff(scripted_model: None): - async with harness_client() as client: - messages = await client.service_call(triage_run, arg="I was double charged on my invoice, can I get a refund?") - print_messages("local handoff", messages) - assert_tool_executed(messages, "handoff_to_billing") +async def test_multi_turn_session_live( + restate_test_harness: HarnessEnvironment, + live_model: None, +): + first_messages = await restate_test_harness.client.object_call( + message, + key="live-multi-turn", + arg="What is the capital of France?", + ) + second_messages = await restate_test_harness.client.object_call( + message, + key="live-multi-turn", + arg="In which country is it?", + ) + session_messages = await restate_test_harness.client.object_call( + get_session_messages, + key="live-multi-turn", + arg=None, + ) + print_messages("multi-turn first message (live)", first_messages) + print_messages("multi-turn second message (live)", second_messages) + print_messages("multi-turn session state (live)", session_messages) + assert_completed(first_messages) + assert_completed(second_messages) + assert "france" in response_text(second_messages).lower() + assert session_messages, "LangChain session state is empty" + + +async def test_concurrent_distinct_keys( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + count = 20 + results = await asyncio.gather( + *[ + restate_test_harness.client.object_call( + message, + key=f"concurrent-user-{index}", + arg="Reply with exactly: OK", + ) + for index in range(count) + ] + ) + print_messages("concurrent distinct keys", results) + assert len(results) == count + for messages in results: assert_completed(messages) -async def test_remote_handoff_serializes_across_rpc(scripted_model: None): - async with harness_client() as client: - messages = await client.service_call( - coordinator_run, - arg="How do I speed up a slow SQL query with a missing index?", - ) - print_messages("remote specialist tool", messages) - assert_tool_executed(messages, "ask_specialist") - assert_completed(messages) +async def test_parallel_tools_turnstile( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] + messages = await restate_test_harness.client.object_call( + message, + key="parallel-weather", + arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", + ) + print_messages("parallel weather tools", messages) + assert_tool_executed(messages, "get_weather", minimum_calls=len(cities)) + assert_completed(messages) + + +async def test_terminal_tool_error_fails_fast( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + with pytest.raises(HttpError) as exc: + await restate_test_harness.client.service_call(failing_run, arg="please process my request") + print_messages("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) + assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" + assert "tool failed permanently" in (exc.value.body or "") + + +async def test_local_handoff( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + messages = await restate_test_harness.client.service_call( + triage_run, + arg="I was double charged on my invoice, can I get a refund?", + ) + print_messages("local handoff", messages) + assert_tool_executed(messages, "handoff_to_billing") + assert_completed(messages) + + +async def test_remote_handoff_serializes_across_rpc( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + messages = await restate_test_harness.client.service_call( + coordinator_run, + arg="How do I speed up a slow SQL query with a missing index?", + ) + print_messages("remote specialist tool", messages) + assert_tool_executed(messages, "ask_specialist") + assert_completed(messages) diff --git a/ai-tests/openai_test.py b/ai-tests/openai_test.py index c7a69bd..4d7516b 100644 --- a/ai-tests/openai_test.py +++ b/ai-tests/openai_test.py @@ -24,9 +24,9 @@ import openai_service from typing import Any from collections.abc import AsyncIterator -from contextlib import asynccontextmanager from agents.models.multi_provider import MultiProvider -from restate.client_types import HttpError, RestateClient +from restate import HarnessEnvironment +from restate.client_types import HttpError from openai_service import ( coordinator_run, failing_run, @@ -111,81 +111,119 @@ def model_mode(request: pytest.FixtureRequest, monkeypatch: pytest.MonkeyPatch) return mode -@asynccontextmanager -async def harness_client() -> AsyncIterator[RestateClient]: +@pytest.fixture(scope="session") +async def restate_test_harness() -> AsyncIterator[HarnessEnvironment]: async with restate.create_test_harness( openai_service.app(), follow_logs=True, disable_retries=True, always_replay=True, ) as harness: - yield harness.client + yield harness -async def test_agent_tool_call_replays_cleanly(model_mode: str): - async with harness_client() as client: - items = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") - assert_tool_executed(items, "get_weather") +async def test_agent_tool_call_replays_cleanly( + restate_test_harness: HarnessEnvironment, + model_mode: str, +): + items = await restate_test_harness.client.object_call( + message, + key=f"{model_mode}-weather", + arg="What is the weather in Paris?", + ) + assert_tool_executed(items, "get_weather") + assert_completed(items) + + +async def test_multi_turn_session( + restate_test_harness: HarnessEnvironment, + model_mode: str, +): + key = f"{model_mode}-multi-turn" + first_items = await restate_test_harness.client.object_call( + message, + key=key, + arg="What is the capital of France?", + ) + second_items = await restate_test_harness.client.object_call( + message, + key=key, + arg="In which country is it?", + ) + session_items = await restate_test_harness.client.object_call(get_session_items, key=key, arg=None) + assert_completed(first_items) + assert_completed(second_items) + + # Context of first question, was available to the second question. + assert "france" in response_text(second_items).lower() + + # Session state is stored in Restate. + assert session_items, "OpenAI Agents session state is empty" + + +async def test_concurrent_distinct_keys( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + count = 20 + results = await asyncio.gather( + *[ + restate_test_harness.client.object_call( + message, + key=f"concurrent-user-{index}", + arg="Reply with exactly: OK", + ) + for index in range(count) + ] + ) + assert len(results) == count + for items in results: assert_completed(items) -async def test_multi_turn_session(model_mode: str): - async with harness_client() as client: - first_items = await client.object_call(message, key="u", arg="What is the capital of France?") - second_items = await client.object_call(message, key="u", arg="In which country is it?") - session_items = await client.object_call(get_session_items, key="u", arg=None) - assert_completed(first_items) - assert_completed(second_items) - - # Context of first question, was available to the second question. - assert "france" in response_text(second_items).lower() - - # Session state is stored in Restate. - assert session_items, "OpenAI Agents session state is empty" - - -async def test_concurrent_distinct_keys(scripted_model: None): - async with harness_client() as client: - n = 20 - results = await asyncio.gather( - *[client.object_call(message, key=f"user-{i}", arg="Reply with exactly: OK") for i in range(n)] - ) - assert len(results) == n - for items in results: - assert_completed(items) - - -async def test_parallel_tools_turnstile(scripted_model: None): +async def test_parallel_tools_turnstile( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] - async with harness_client() as client: - items = await client.object_call( - message, - key="cities", - arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", - ) - assert_tool_executed(items, "get_weather", minimum_calls=len(cities)) - assert_completed(items) - - -async def test_terminal_tool_error_fails_fast(scripted_model: None): - async with harness_client() as client: - with pytest.raises(HttpError) as exc: - await client.service_call(failing_run, arg="please process my request") - assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" - assert "tool failed permanently" in (exc.value.body or "") - - -async def test_local_handoff(scripted_model: None): - async with harness_client() as client: - items = await client.service_call(triage_run, arg="I was double charged on my invoice, can I get a refund?") - assert_handoff_executed(items) - assert_completed(items) + items = await restate_test_harness.client.object_call( + message, + key="parallel-weather", + arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", + ) + assert_tool_executed(items, "get_weather", minimum_calls=len(cities)) + assert_completed(items) + + +async def test_terminal_tool_error_fails_fast( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + with pytest.raises(HttpError) as exc: + await restate_test_harness.client.service_call(failing_run, arg="please process my request") + assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" + assert "tool failed permanently" in (exc.value.body or "") + + +async def test_local_handoff( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + items = await restate_test_harness.client.service_call( + triage_run, + arg="I was double charged on my invoice, can I get a refund?", + ) + assert_handoff_executed(items) + assert_completed(items) -async def test_remote_handoff_serializes_across_rpc(scripted_model: None): - async with harness_client() as client: - items = await client.service_call( - coordinator_run, arg="How do I speed up a slow SQL query with a missing index?" - ) - assert_tool_executed(items, "ask_specialist") - assert_completed(items) +async def test_remote_handoff_serializes_across_rpc( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + items = await restate_test_harness.client.service_call( + coordinator_run, + arg="How do I speed up a slow SQL query with a missing index?", + ) + assert_tool_executed(items, "ask_specialist") + assert_completed(items) diff --git a/ai-tests/pydantic_test.py b/ai-tests/pydantic_test.py index 1bb6e2f..61818ec 100644 --- a/ai-tests/pydantic_test.py +++ b/ai-tests/pydantic_test.py @@ -6,12 +6,12 @@ import json import os from collections.abc import AsyncIterator -from contextlib import asynccontextmanager from typing import Any import pytest import restate -from restate.client_types import HttpError, RestateClient +from restate import HarnessEnvironment +from restate.client_types import HttpError from restate.ext.pydantic import RestateModelWrapper import pydantic_service @@ -95,86 +95,124 @@ def model_mode(request: pytest.FixtureRequest, monkeypatch: pytest.MonkeyPatch) return mode -@asynccontextmanager -async def harness_client() -> AsyncIterator[RestateClient]: +@pytest.fixture(scope="session") +async def restate_test_harness() -> AsyncIterator[HarnessEnvironment]: async with restate.create_test_harness( pydantic_service.app(), follow_logs=True, disable_retries=True, always_replay=True, ) as harness: - yield harness.client - - -async def test_agent_tool_call_replays_cleanly(model_mode: str): - async with harness_client() as client: - messages = await client.object_call(message, key="user-1", arg="What is the weather in Paris?") - print_messages(f"weather tool ({model_mode})", messages) - assert_tool_executed(messages, "get_weather") + yield harness + + +async def test_agent_tool_call_replays_cleanly( + restate_test_harness: HarnessEnvironment, + model_mode: str, +): + messages = await restate_test_harness.client.object_call( + message, + key=f"{model_mode}-weather", + arg="What is the weather in Paris?", + ) + print_messages(f"weather tool ({model_mode})", messages) + assert_tool_executed(messages, "get_weather") + assert_completed(messages) + + +async def test_multi_turn_session( + restate_test_harness: HarnessEnvironment, + model_mode: str, +): + key = f"{model_mode}-multi-turn" + first_messages = await restate_test_harness.client.object_call( + message, + key=key, + arg="What is the capital of France?", + ) + second_messages = await restate_test_harness.client.object_call( + message, + key=key, + arg="In which country is it?", + ) + session_messages = await restate_test_harness.client.object_call(get_session_messages, key=key, arg=None) + print_messages(f"multi-turn first message ({model_mode})", first_messages) + print_messages(f"multi-turn second message ({model_mode})", second_messages) + print_messages(f"multi-turn session state ({model_mode})", session_messages) + assert_completed(first_messages) + assert_completed(second_messages) + assert "paris" in response_text(first_messages).lower() + assert session_messages, "Pydantic AI session state is empty" + + +async def test_concurrent_distinct_keys( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + count = 20 + results = await asyncio.gather( + *[ + restate_test_harness.client.object_call( + message, + key=f"concurrent-user-{index}", + arg="Reply with exactly: OK", + ) + for index in range(count) + ] + ) + print_messages("concurrent distinct keys", results) + assert len(results) == count + for messages in results: assert_completed(messages) -async def test_multi_turn_session(model_mode: str): - async with harness_client() as client: - first_messages = await client.object_call(message, key="u", arg="What is the capital of France?") - second_messages = await client.object_call(message, key="u", arg="In which country is it?") - session_messages = await client.object_call(get_session_messages, key="u", arg=None) - print_messages(f"multi-turn first message ({model_mode})", first_messages) - print_messages(f"multi-turn second message ({model_mode})", second_messages) - print_messages(f"multi-turn session state ({model_mode})", session_messages) - assert_completed(first_messages) - assert_completed(second_messages) - assert "paris" in response_text(first_messages).lower() - assert session_messages, "Pydantic AI session state is empty" - - -async def test_concurrent_distinct_keys(scripted_model: None): - async with harness_client() as client: - count = 20 - results = await asyncio.gather( - *[client.object_call(message, key=f"user-{index}", arg="Reply with exactly: OK") for index in range(count)] - ) - print_messages("concurrent distinct keys", results) - assert len(results) == count - for messages in results: - assert_completed(messages) - - -async def test_parallel_tools_turnstile(scripted_model: None): +async def test_parallel_tools_turnstile( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): cities = ["Paris", "London", "Tokyo", "Berlin", "Rome"] - async with harness_client() as client: - messages = await client.object_call( - message, - key="cities", - arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", - ) - print_messages("parallel weather tools", messages) - assert_tool_executed(messages, "get_weather", minimum_calls=len(cities)) - assert_completed(messages) - - -async def test_terminal_tool_error_fails_fast(scripted_model: None): - async with harness_client() as client: - with pytest.raises(HttpError) as exc: - await client.service_call(failing_run, arg="please process my request") - print_messages("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) - assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" - assert "tool failed permanently" in (exc.value.body or "") - - -async def test_local_handoff(scripted_model: None): - async with harness_client() as client: - messages = await client.service_call(triage_run, arg="I was double charged on my invoice, can I get a refund?") - print_messages("local handoff", messages) - assert_tool_executed(messages, "handoff_to_billing") - assert_completed(messages) - - -async def test_remote_handoff_serializes_across_rpc(scripted_model: None): - async with harness_client() as client: - messages = await client.service_call( - coordinator_run, arg="How do I speed up a slow SQL query with a missing index?" - ) - print_messages("remote specialist tool", messages) - assert_tool_executed(messages, "ask_specialist") - assert_completed(messages) + messages = await restate_test_harness.client.object_call( + message, + key="parallel-weather", + arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", + ) + print_messages("parallel weather tools", messages) + assert_tool_executed(messages, "get_weather", minimum_calls=len(cities)) + assert_completed(messages) + + +async def test_terminal_tool_error_fails_fast( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + with pytest.raises(HttpError) as exc: + await restate_test_harness.client.service_call(failing_run, arg="please process my request") + print_messages("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) + assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" + assert "tool failed permanently" in (exc.value.body or "") + + +async def test_local_handoff( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + messages = await restate_test_harness.client.service_call( + triage_run, + arg="I was double charged on my invoice, can I get a refund?", + ) + print_messages("local handoff", messages) + assert_tool_executed(messages, "handoff_to_billing") + assert_completed(messages) + + +async def test_remote_handoff_serializes_across_rpc( + restate_test_harness: HarnessEnvironment, + scripted_model: None, +): + messages = await restate_test_harness.client.service_call( + coordinator_run, + arg="How do I speed up a slow SQL query with a missing index?", + ) + print_messages("remote specialist tool", messages) + assert_tool_executed(messages, "ask_specialist") + assert_completed(messages) diff --git a/pyproject.toml b/pyproject.toml index 503a288..a3aa545 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,7 +21,7 @@ Source = "https://github.com/restatedev/sdk-python" "Bug Tracker" = "https://github.com/restatedev/sdk-python/issues" [project.optional-dependencies] -test = ["pytest", "hypercorn", "anyio"] +test = ["pytest", "hypercorn", "anyio", "langchain-openai>=1.0.0"] lint = ["mypy>=1.11.2", "pyright>=1.1.390", "ruff>=0.6.9"] harness = ["testcontainers", "hypercorn", "httpx"] serde = ["dacite", "pydantic", "msgspec"] @@ -29,7 +29,11 @@ client = ["httpx[http2]"] adk = ["google-adk>=1.20.0"] openai = ["openai-agents>=0.6.1"] pydantic_ai = ["pydantic-ai-slim[mcp,openai]>=1.68.0"] -langchain = ["langchain>=1.0.0", "langgraph>=1.0.0", "langchain-core>=1.0.0"] +langchain = [ + "langchain>=1.0.0", + "langchain-core>=1.0.0", + "langgraph>=1.0.0", +] tracing = ["opentelemetry-api>=1.36.0"] zstd = [ "backports.zstd ; python_version < '3.14'", From 14e4f0b228d19053cb3305ee01c6f5dfef5e4608 Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Fri, 17 Jul 2026 14:34:04 +0200 Subject: [PATCH 10/12] make github ci workflows work correctly --- .github/workflows/ai-integration.yaml | 61 + .github/workflows/ai-sdk-bump.yaml | 116 + Justfile | 4 +- ai-tests/README.md | 12 +- pyproject.toml | 9 +- uv.lock | 3327 +++++++++++++++++++++++++ 6 files changed, 3522 insertions(+), 7 deletions(-) create mode 100644 .github/workflows/ai-integration.yaml create mode 100644 .github/workflows/ai-sdk-bump.yaml create mode 100644 uv.lock diff --git a/.github/workflows/ai-integration.yaml b/.github/workflows/ai-integration.yaml new file mode 100644 index 0000000..c60a3e8 --- /dev/null +++ b/.github/workflows/ai-integration.yaml @@ -0,0 +1,61 @@ +name: AI Integration + +# Scripted and real-model integration tests for the AI SDK integrations +# (openai-agents, pydantic-ai, Google ADK, and LangChain). Scripted tests run on +# every PR; live-model tests require provider keys and are skipped on pull +# requests from forks (which don't get secrets). Together they catch durable +# replay and provider API/type breakage. +on: + pull_request: + branches: [main] + workflow_dispatch: + +permissions: + contents: read + +jobs: + ai-integration: + name: "AI integration (scripted, Python 3.12)" + runs-on: warp-ubuntu-latest-x64-4x + env: + UV_PYTHON: "3.12" + steps: + - uses: actions/checkout@v4 + - uses: extractions/setup-just@v2 + - uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + - name: Install dependencies + run: just sync + - name: Build + run: just build + # Scripted only here: this job has no provider keys and runs on forks. + - name: Run scripted AI integration tests + run: just test-ai-scripted + + ai-integration-live: + if: >- + github.repository_owner == 'restatedev' && + (github.event_name == 'workflow_dispatch' || + (github.event_name == 'pull_request' && + github.event.pull_request.head.repo.full_name == github.repository && + github.event.pull_request.user.login != 'dependabot[bot]')) + name: "AI integration (live model, Python 3.12)" + runs-on: warp-ubuntu-latest-x64-4x + env: + UV_PYTHON: "3.12" + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }} + steps: + - uses: actions/checkout@v4 + - uses: extractions/setup-just@v2 + - uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + - name: Install dependencies + run: just sync + - name: Build + run: just build + # Full suite (scripted + live) -- this job has the key. + - name: Run AI integration tests + run: just test-ai diff --git a/.github/workflows/ai-sdk-bump.yaml b/.github/workflows/ai-sdk-bump.yaml new file mode 100644 index 0000000..c658ced --- /dev/null +++ b/.github/workflows/ai-sdk-bump.yaml @@ -0,0 +1,116 @@ +name: AI SDK Bump Test + +# Manually test a candidate agent SDK version before bumping it for real. The +# direct SDK is pinned to the requested version, its dependency family is +# re-resolved, and its Restate integration suite is run against that result. +on: + workflow_dispatch: + inputs: + agent_sdk: + description: "Agent SDK to upgrade" + required: true + type: choice + options: + - openai-agents + - pydantic-ai + - langchain + - google-adk + version: + description: "Release version or tag (for example 0.7.0 or v0.7.0)" + required: true + type: string + +permissions: + contents: read + +jobs: + bump-and-test: + if: github.repository_owner == 'restatedev' + name: "Test ${{ inputs.agent_sdk }} ${{ inputs.version }}" + runs-on: warp-ubuntu-latest-x64-4x + env: + UV_PYTHON: "3.12" + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }} + steps: + - uses: actions/checkout@v4 + - uses: extractions/setup-just@v2 + - uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Upgrade ${{ inputs.agent_sdk }} to ${{ inputs.version }} + id: upgrade + env: + AGENT_SDK: ${{ inputs.agent_sdk }} + VER: ${{ inputs.version }} + run: | + set -euo pipefail + VER="${VER#v}" + if [[ -z "$VER" ]]; then + echo "::error::version must not be empty" + exit 1 + fi + + case "$AGENT_SDK" in + openai-agents) + EXTRA=openai + SPEC=openai-agents + TEST_RECIPE=test-ai-openai + PACKAGES=(openai-agents) + ;; + pydantic-ai) + EXTRA=pydantic_ai + SPEC='pydantic-ai-slim[mcp,openai]' + TEST_RECIPE=test-ai-pydantic + PACKAGES=(pydantic-ai-slim) + ;; + google-adk) + EXTRA=adk + SPEC=google-adk + TEST_RECIPE=test-ai-google-adk + PACKAGES=(google-adk) + ;; + langchain) + EXTRA=langchain + SPEC=langchain + TEST_RECIPE=test-ai-langchain + PACKAGES=(langchain langchain-core langchain-openai langgraph) + ;; + *) + echo "::error::unknown agent SDK '$AGENT_SDK'" + exit 1 + ;; + esac + + echo "Pinning $SPEC==$VER in extra [$EXTRA]" + uv add --no-sync --optional "$EXTRA" "${SPEC}==${VER}" + + upgrade_args=() + for package in "${PACKAGES[@]}"; do + upgrade_args+=(--upgrade-package "$package") + done + uv lock "${upgrade_args[@]}" + + echo "test_recipe=$TEST_RECIPE" >> "$GITHUB_OUTPUT" + printf 'packages=%s\n' "${PACKAGES[*]}" >> "$GITHUB_OUTPUT" + + - name: Install dependencies + run: just sync + + - name: Show resolved version + env: + PACKAGES: ${{ steps.upgrade.outputs.packages }} + run: uv pip show $PACKAGES + + - name: Build + run: just build + + # KEY: fails on any changed types/signatures the integration code relies on. + - name: Type check + run: just typecheck + + - name: Run ${{ inputs.agent_sdk }} integration tests (scripted + live) + env: + TEST_RECIPE: ${{ steps.upgrade.outputs.test_recipe }} + run: just "$TEST_RECIPE" diff --git a/Justfile b/Justfile index 5e71f58..cfb9a09 100644 --- a/Justfile +++ b/Justfile @@ -45,7 +45,7 @@ test-ai-google-adk: uv run --isolated --locked --extra test --extra harness --extra serde --extra adk -m pytest ai-tests/google_adk_test.py -v -s test-ai-langchain: - uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain -m pytest ai-tests/langchain_test.py -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain --extra langchain_test -m pytest ai-tests/langchain_test.py -v -s test-ai: test-ai-openai test-ai-pydantic test-ai-google-adk test-ai-langchain @@ -53,7 +53,7 @@ test-ai-scripted: uv run --isolated --locked --extra test --extra harness --extra serde --extra openai -m pytest ai-tests/openai_test.py -m "not live_model" -v -s uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -m "not live_model" -v -s uv run --isolated --locked --extra test --extra harness --extra serde --extra adk -m pytest ai-tests/google_adk_test.py -m "not live_model" -v -s - uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain -m pytest ai-tests/langchain_test.py -m "not live_model" -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain --extra langchain_test -m pytest ai-tests/langchain_test.py -m "not live_model" -v -s # Recipe to run both mypy and pylint diff --git a/ai-tests/README.md b/ai-tests/README.md index d10784f..d0cdd53 100644 --- a/ai-tests/README.md +++ b/ai-tests/README.md @@ -90,8 +90,16 @@ matrix in its isolated environment. These tests are **not** part of `just test` / `just verify`. In CI they run on PRs to `main` (`AI Integration` workflow): the scripted tests on every PR (including forks), the live tests only when repository secrets are available. -The `AI SDK Bump Test` workflow runs the full suite against a candidate -agent-SDK version before bumping. +The `AI SDK Bump Test` workflow accepts one of the four agent SDKs and a release +tag. It temporarily pins that SDK to the requested version, re-resolves its +dependency family, type-checks the integrations, and runs the selected scripted +and live suite. + +Each integration has one versioned direct SDK dependency in `pyproject.toml`. +LangChain's `langchain-core`, `langgraph`, and test-only `langchain-openai` +dependencies are deliberately unversioned: changing the single `langchain` +version floor (or selecting a workflow version) resolves compatible versions of +the whole family. ## Extending diff --git a/pyproject.toml b/pyproject.toml index a3aa545..f480959 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,19 +21,22 @@ Source = "https://github.com/restatedev/sdk-python" "Bug Tracker" = "https://github.com/restatedev/sdk-python/issues" [project.optional-dependencies] -test = ["pytest", "hypercorn", "anyio", "langchain-openai>=1.0.0"] +test = ["pytest", "hypercorn", "anyio"] lint = ["mypy>=1.11.2", "pyright>=1.1.390", "ruff>=0.6.9"] harness = ["testcontainers", "hypercorn", "httpx"] serde = ["dacite", "pydantic", "msgspec"] client = ["httpx[http2]"] +# Keep one version floor per agent SDK. 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changed, 82 insertions(+), 97 deletions(-) diff --git a/ai-tests/README.md b/ai-tests/README.md index d0cdd53..21f808b 100644 --- a/ai-tests/README.md +++ b/ai-tests/README.md @@ -1,71 +1,68 @@ # AI integration tests -End-to-end tests for the AI SDK integrations that live in this repo -(`restate.ext.*`). They run the integration against a **real** restate-server -in two complementary model modes: - -- **Scripted:** deterministic models emit real agent-SDK response objects. This - forces each integration's protocol paths under replay without credentials. -- **Live:** real (cheap) LLM calls validate the upstream provider's response - types and formats under replay. - -The goal is to catch, when an upstream agent SDK (or this SDK) is bumped: - -- **journal mismatches / non-determinism** (Restate error `RT0016`), -- **infinite error/retry loops**, -- interference between concurrent invocations (turnstile / session state). - -## What is covered - -Integrations: **openai-agents** (`openai_service.py`), **pydantic-ai** -(`pydantic_service.py`), **Google ADK** (`google_adk_service.py`), and -**LangChain** (`langchain_service.py`). Each integration runs in its own -isolated dependency environment. Every scenario uses `always_replay=True` -(forces a suspend/replay on every await -- the HTTP/1.1-style path and the -strongest non-determinism detector) and `disable_retries=True`. Tool-call and -multi-turn scenarios also run against the live OpenAI or Gemini API: 28 -scripted + 8 live runs. - -These are integration and durability tests, not agent evaluations. Scripted -responses drive the intended agent SDK protocol paths deterministically -(e.g. the turnstile test is guaranteed five parallel tool calls). Live runs -only require normal completion and matching tool-call outputs -- their job is -catching real provider response-type drift through the journaling path. The -handlers return generated run items, messages, or normalized ADK event contents -so tests can match tool calls to tool outputs with the same call ID, proving -each tool executed. - -LangChain's two live checks are separate `_live` tests. The service always uses -normal module-level `ChatOpenAI` agents. Scripted tests replace only -`ChatOpenAI._agenerate` at the provider boundary, leaving normal tool binding, -agent compilation, and `RestateMiddleware` execution unchanged. - -Google ADK follows the same shape: the service uses normal module-level Gemini -agents and explicit `App` / `Runner` setup. Scripted tests replace only -`Gemini.generate_content_async` at the provider boundary. All Google ADK tests -except the remote-RPC scenario run through a virtual object backed by -`RestateSessionService`; the remote-RPC scenario intentionally covers the -stateless service and in-memory session path. - -| Test | Model modes | Pattern it stresses | -| ---- | ----------- | ------------------- | -| `test_agent_tool_call_replays_cleanly` | scripted + live | single tool call and LLM-call journaling | -| `test_multi_turn_session` | scripted + live | expected response content + non-empty durable VO session state | -| `test_concurrent_distinct_keys` | scripted | 20 parallel invocations, no interference | -| `test_parallel_tools_turnstile` | scripted | many tool calls in one turn and turnstile ordering | -| `test_terminal_tool_error_fails_fast` | scripted | `TerminalError` -> terminal failure, no loop | -| `test_local_handoff` | scripted | local agent delegation and agent-graph serialization | -| `test_remote_handoff_serializes_across_rpc` | scripted | durable RPC and pydantic serde | - -Detection is deliberately simple: forced replay surfaces a journal mismatch in -the SDK, and the harness client timeout prevents a mismatch retry loop from -hanging CI indefinitely. `disable_retries=True` separately makes ordinary -handler failures surface without retry backoff. - -## Running locally - -Requires Docker. `just test-ai` runs the full suite -- both the scripted and -live tests: +End-to-end tests for the AI SDK integrations in `restate.ext.*`: + +- OpenAI Agents +- Pydantic AI +- Google ADK +- LangChain + +The tests run each integration against a real Restate server. Their purpose is +to catch breaking changes when either Restate or an upstream agent SDK is +upgraded. + +## What we test + +Every scenario runs with `always_replay=True`, forcing Restate to suspend and +replay on each await. This exercises the path most likely to expose: + +- journal mismatches and other non-determinism, +- infinite failure or retry loops, +- incompatible agent SDK response types, +- interference between concurrent invocations or sessions. + +`disable_retries=True` makes ordinary handler failures surface immediately +instead of hiding them behind retry backoff. + +The common scenarios cover: + +| Scenario | What it checks | +| --- | --- | +| Tool call | The model requests a tool and receives its output | +| Multi-turn session | Conversation state survives across virtual object calls | +| Concurrent invocations | Distinct object keys do not interfere with each other | +| Parallel tools | Multiple tool calls pass through the integration turnstile | +| Terminal tool error | A permanent failure surfaces without retrying forever | +| Local handoff | Delegation between agents is serialized correctly | +| Remote handoff | Agent state and tool results survive a durable RPC | + +These are integration tests, not model evaluations. They check that the agent +SDK protocol remains compatible and deterministic, not whether an answer is +subjectively good. + +## Model modes + +The suite uses two complementary modes: + +- **Scripted:** deterministic provider responses exercise the real agent SDK + types and integration code without credentials. +- **Live:** small real OpenAI or Gemini calls catch upstream response type and + format changes that scripted responses may miss. + +All scenarios run in scripted mode. The tool-call and multi-turn scenarios also +run in live mode. + +## Running the tests + +Docker is required. + +Run all deterministic tests without provider credentials: + +```shell +just test-ai-scripted +``` + +Run all scripted and live tests: ```shell export OPENAI_API_KEY=sk-... @@ -73,38 +70,26 @@ export GOOGLE_API_KEY=... just test-ai ``` -The scripted tests need no key; the live tests require `OPENAI_API_KEY` for -OpenAI Agents, Pydantic AI, and LangChain, and `GOOGLE_API_KEY` for Google ADK. -They fail (rather than skip) without their key, since a configured live run is -meaningless without a real model. The recipes print full generated messages or -events with pytest capture disabled. To run all scripted suites without keys: +Run one integration, including its live tests: ```shell -just test-ai-scripted +just test-ai-openai +just test-ai-pydantic +just test-ai-google-adk +just test-ai-langchain ``` -Use `just test-ai-openai`, `just test-ai-pydantic`, `just test-ai-google-adk`, -or `just test-ai-langchain` to run one integration's full scripted + live -matrix in its isolated environment. - -These tests are **not** part of `just test` / `just verify`. In CI they run on -PRs to `main` (`AI Integration` workflow): the scripted tests on every PR -(including forks), the live tests only when repository secrets are available. -The `AI SDK Bump Test` workflow accepts one of the four agent SDKs and a release -tag. It temporarily pins that SDK to the requested version, re-resolves its -dependency family, type-checks the integrations, and runs the selected scripted -and live suite. - -Each integration has one versioned direct SDK dependency in `pyproject.toml`. -LangChain's `langchain-core`, `langgraph`, and test-only `langchain-openai` -dependencies are deliberately unversioned: changing the single `langchain` -version floor (or selecting a workflow version) resolves compatible versions of -the whole family. - -## Extending - -- **New integration:** add `_service.py` (mirroring an app from - restatedev/ai-examples), `_model_stub.py`, and `_test.py`, plus an - isolated `Justfile` recipe containing only that integration's optional extra. -- **More scenarios:** failure injection (kill the service mid-invocation), - higher concurrency (100), sequential/orchestrator workflows. +Each integration runs in an isolated, locked dependency environment. Live tests +fail when their required key is missing; they do not silently skip. + +## CI + +The `AI Integration` workflow runs scripted tests on every pull request. Live +tests run only for trusted pull requests where repository secrets are +available. + +The manually triggered `AI SDK Bump Test` workflow accepts an agent SDK and a +version, resolves that candidate dependency family, type-checks the integration, +and runs its scripted and live tests. + +These tests are intentionally separate from `just test` and `just verify`. From bbce19cb2b0643220fdc478c548b6263bec9859e Mon Sep 17 00:00:00 2001 From: Giselle van Dongen Date: Fri, 17 Jul 2026 17:59:06 +0200 Subject: [PATCH 12/12] remove prints --- Justfile | 16 ++++++++-------- ai-tests/google_adk_test.py | 19 ------------------- ai-tests/langchain_test.py | 19 ------------------- ai-tests/pydantic_test.py | 15 --------------- 4 files changed, 8 insertions(+), 61 deletions(-) diff --git a/Justfile b/Justfile index cfb9a09..136c701 100644 --- a/Justfile +++ b/Justfile @@ -36,24 +36,24 @@ test: # Each integration runs in its own dependency environment. test-ai-openai: - uv run --isolated --locked --extra test --extra harness --extra serde --extra openai -m pytest ai-tests/openai_test.py -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra openai -m pytest ai-tests/openai_test.py -v test-ai-pydantic: - uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -v test-ai-google-adk: - uv run --isolated --locked --extra test --extra harness --extra serde --extra adk -m pytest ai-tests/google_adk_test.py -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra adk -m pytest ai-tests/google_adk_test.py -v test-ai-langchain: - uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain --extra langchain_test -m pytest ai-tests/langchain_test.py -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain --extra langchain_test -m pytest ai-tests/langchain_test.py -v test-ai: test-ai-openai test-ai-pydantic test-ai-google-adk test-ai-langchain test-ai-scripted: - uv run --isolated --locked --extra test --extra harness --extra serde --extra openai -m pytest ai-tests/openai_test.py -m "not live_model" -v -s - uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -m "not live_model" -v -s - uv run --isolated --locked --extra test --extra harness --extra serde --extra adk -m pytest ai-tests/google_adk_test.py -m "not live_model" -v -s - uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain --extra langchain_test -m pytest ai-tests/langchain_test.py -m "not live_model" -v -s + uv run --isolated --locked --extra test --extra harness --extra serde --extra openai -m pytest ai-tests/openai_test.py -m "not live_model" -v + uv run --isolated --locked --extra test --extra harness --extra serde --extra pydantic_ai -m pytest ai-tests/pydantic_test.py -m "not live_model" -v + uv run --isolated --locked --extra test --extra harness --extra serde --extra adk -m pytest ai-tests/google_adk_test.py -m "not live_model" -v + uv run --isolated --locked --extra test --extra harness --extra serde --extra langchain --extra langchain_test -m pytest ai-tests/langchain_test.py -m "not live_model" -v # Recipe to run both mypy and pylint diff --git a/ai-tests/google_adk_test.py b/ai-tests/google_adk_test.py index fdd7110..82b0235 100644 --- a/ai-tests/google_adk_test.py +++ b/ai-tests/google_adk_test.py @@ -3,7 +3,6 @@ from __future__ import annotations import asyncio -import json import os from collections.abc import AsyncIterator from typing import Any @@ -27,11 +26,6 @@ AgentEvents = list[dict[str, Any]] -def print_events(label: str, events: object) -> None: - print(f"\n--- {label}: new events ---", flush=True) - print(json.dumps(events, indent=2, sort_keys=True, default=str), flush=True) - - def event_parts(events: AgentEvents) -> list[dict[str, Any]]: return [ part @@ -107,7 +101,6 @@ async def test_agent_tool_call_replays_cleanly( key="scripted-weather", arg="What is the weather in Paris?", ) - print_events("weather tool (scripted)", events) assert_tool_executed(events, "get_weather") assert_completed(events) @@ -122,7 +115,6 @@ async def test_agent_tool_call_live_replays_cleanly( key="live-weather", arg="What is the weather in Paris?", ) - print_events("weather tool (live)", events) assert_tool_executed(events, "get_weather") assert_completed(events) @@ -146,9 +138,6 @@ async def test_multi_turn_session( key="scripted-multi-turn", arg=None, ) - print_events("multi-turn first message (scripted)", first_events) - print_events("multi-turn second message (scripted)", second_events) - print_events("multi-turn session state (scripted)", session_events) assert_completed(first_events) assert_completed(second_events) assert "france" in response_text(second_events).lower() @@ -175,9 +164,6 @@ async def test_multi_turn_session_live( key="live-multi-turn", arg=None, ) - print_events("multi-turn first message (live)", first_events) - print_events("multi-turn second message (live)", second_events) - print_events("multi-turn session state (live)", session_events) assert_completed(first_events) assert_completed(second_events) assert "france" in response_text(second_events).lower() @@ -199,7 +185,6 @@ async def test_concurrent_distinct_keys( for index in range(count) ] ) - print_events("concurrent distinct keys", results) assert len(results) == count for events in results: assert_completed(events) @@ -215,7 +200,6 @@ async def test_parallel_tools_turnstile( key="parallel-weather", arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", ) - print_events("parallel weather tools", events) assert_tool_executed(events, "get_weather", minimum_calls=len(cities)) assert_completed(events) @@ -230,7 +214,6 @@ async def test_terminal_tool_error_fails_fast( key="terminal-error", arg="please process my request", ) - print_events("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" assert "tool failed permanently" in (exc.value.body or "") @@ -244,7 +227,6 @@ async def test_local_handoff( key="local-handoff", arg="I was double charged on my invoice, can I get a refund?", ) - print_events("local handoff", events) assert_tool_executed(events, "transfer_to_agent") assert_completed(events) @@ -257,6 +239,5 @@ async def test_remote_handoff_serializes_across_rpc( coordinator_run, arg="How do I speed up a slow SQL query with a missing index?", ) - print_events("remote specialist tool", events) assert_tool_executed(events, "ask_specialist") assert_completed(events) diff --git a/ai-tests/langchain_test.py b/ai-tests/langchain_test.py index 982e2ff..41fd835 100644 --- a/ai-tests/langchain_test.py +++ b/ai-tests/langchain_test.py @@ -3,7 +3,6 @@ from __future__ import annotations import asyncio -import json import os from collections.abc import AsyncIterator from typing import Any @@ -27,11 +26,6 @@ AgentMessages = list[dict[str, Any]] -def print_messages(label: str, messages: object) -> None: - print(f"\n--- {label}: messages ---", flush=True) - print(json.dumps(messages, indent=2, sort_keys=True, default=str), flush=True) - - def response_text(messages: AgentMessages) -> str: text = "" for serialized_message in messages: @@ -109,7 +103,6 @@ async def test_agent_tool_call_replays_cleanly( key="scripted-weather", arg="What is the weather in Paris?", ) - print_messages("weather tool (scripted)", messages) assert_tool_executed(messages, "get_weather") assert_completed(messages) @@ -124,7 +117,6 @@ async def test_agent_tool_call_live_replays_cleanly( key="live-weather", arg="What is the weather in Paris?", ) - print_messages("weather tool (live)", messages) assert_tool_executed(messages, "get_weather") assert_completed(messages) @@ -148,9 +140,6 @@ async def test_multi_turn_session( key="scripted-multi-turn", arg=None, ) - print_messages("multi-turn first message (scripted)", first_messages) - print_messages("multi-turn second message (scripted)", second_messages) - print_messages("multi-turn session state (scripted)", session_messages) assert_completed(first_messages) assert_completed(second_messages) assert "france" in response_text(second_messages).lower() @@ -177,9 +166,6 @@ async def test_multi_turn_session_live( key="live-multi-turn", arg=None, ) - print_messages("multi-turn first message (live)", first_messages) - print_messages("multi-turn second message (live)", second_messages) - print_messages("multi-turn session state (live)", session_messages) assert_completed(first_messages) assert_completed(second_messages) assert "france" in response_text(second_messages).lower() @@ -201,7 +187,6 @@ async def test_concurrent_distinct_keys( for index in range(count) ] ) - print_messages("concurrent distinct keys", results) assert len(results) == count for messages in results: assert_completed(messages) @@ -217,7 +202,6 @@ async def test_parallel_tools_turnstile( key="parallel-weather", arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", ) - print_messages("parallel weather tools", messages) assert_tool_executed(messages, "get_weather", minimum_calls=len(cities)) assert_completed(messages) @@ -228,7 +212,6 @@ async def test_terminal_tool_error_fails_fast( ): with pytest.raises(HttpError) as exc: await restate_test_harness.client.service_call(failing_run, arg="please process my request") - print_messages("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" assert "tool failed permanently" in (exc.value.body or "") @@ -241,7 +224,6 @@ async def test_local_handoff( triage_run, arg="I was double charged on my invoice, can I get a refund?", ) - print_messages("local handoff", messages) assert_tool_executed(messages, "handoff_to_billing") assert_completed(messages) @@ -254,6 +236,5 @@ async def test_remote_handoff_serializes_across_rpc( coordinator_run, arg="How do I speed up a slow SQL query with a missing index?", ) - print_messages("remote specialist tool", messages) assert_tool_executed(messages, "ask_specialist") assert_completed(messages) diff --git a/ai-tests/pydantic_test.py b/ai-tests/pydantic_test.py index 61818ec..573e020 100644 --- a/ai-tests/pydantic_test.py +++ b/ai-tests/pydantic_test.py @@ -3,7 +3,6 @@ from __future__ import annotations import asyncio -import json import os from collections.abc import AsyncIterator from typing import Any @@ -27,11 +26,6 @@ AgentMessages = list[dict[str, Any]] -def print_messages(label: str, messages: object) -> None: - print(f"\n--- {label}: new messages ---", flush=True) - print(json.dumps(messages, indent=2, sort_keys=True, default=str), flush=True) - - def message_parts(messages: AgentMessages) -> list[dict[str, Any]]: return [part for message in messages for part in message.get("parts", []) if isinstance(part, dict)] @@ -115,7 +109,6 @@ async def test_agent_tool_call_replays_cleanly( key=f"{model_mode}-weather", arg="What is the weather in Paris?", ) - print_messages(f"weather tool ({model_mode})", messages) assert_tool_executed(messages, "get_weather") assert_completed(messages) @@ -136,9 +129,6 @@ async def test_multi_turn_session( arg="In which country is it?", ) session_messages = await restate_test_harness.client.object_call(get_session_messages, key=key, arg=None) - print_messages(f"multi-turn first message ({model_mode})", first_messages) - print_messages(f"multi-turn second message ({model_mode})", second_messages) - print_messages(f"multi-turn session state ({model_mode})", session_messages) assert_completed(first_messages) assert_completed(second_messages) assert "paris" in response_text(first_messages).lower() @@ -160,7 +150,6 @@ async def test_concurrent_distinct_keys( for index in range(count) ] ) - print_messages("concurrent distinct keys", results) assert len(results) == count for messages in results: assert_completed(messages) @@ -176,7 +165,6 @@ async def test_parallel_tools_turnstile( key="parallel-weather", arg=f"What is the weather in {', '.join(cities)}? Give one line per city.", ) - print_messages("parallel weather tools", messages) assert_tool_executed(messages, "get_weather", minimum_calls=len(cities)) assert_completed(messages) @@ -187,7 +175,6 @@ async def test_terminal_tool_error_fails_fast( ): with pytest.raises(HttpError) as exc: await restate_test_harness.client.service_call(failing_run, arg="please process my request") - print_messages("terminal tool error", {"status_code": exc.value.status_code, "body": exc.value.body}) assert exc.value.status_code == 500, f"unexpected status: {exc.value.status_code}" assert "tool failed permanently" in (exc.value.body or "") @@ -200,7 +187,6 @@ async def test_local_handoff( triage_run, arg="I was double charged on my invoice, can I get a refund?", ) - print_messages("local handoff", messages) assert_tool_executed(messages, "handoff_to_billing") assert_completed(messages) @@ -213,6 +199,5 @@ async def test_remote_handoff_serializes_across_rpc( coordinator_run, arg="How do I speed up a slow SQL query with a missing index?", ) - print_messages("remote specialist tool", messages) assert_tool_executed(messages, "ask_specialist") assert_completed(messages)