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[FIX] Strip deprecated sampling params for Claude Opus 4.7#1934

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[FIX] Strip deprecated sampling params for Claude Opus 4.7#1934
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fix/anthropic-temperature-deprecation

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What

  • Add _has_deprecated_sampling_params(model) and _strip_deprecated_sampling_params(validated) helpers in unstract/sdk1/.../adapters/base1.py. The helpers substring-match the model id against claude-opus-4-7 (case-insensitive, with . / _ normalized to -) and pop temperature / top_p / top_k from the validated metadata when matched.
  • Wire the strip step into AnthropicLLMParameters.validate(), AWSBedrockLLMParameters.validate(), and AzureAIFoundryLLMParameters.validate().
  • The strip inspects both model and model_id, so Bedrock callers routing through an Application Inference Profile (AIP) are covered when the standard model id appears in either field.

Why

Anthropic deprecated temperature, top_p, and top_k starting with Claude Opus 4.7. Sending any of them now returns a 400 from Anthropic and from every provider that proxies it (Bedrock, Azure AI Foundry, Vertex AI). The Azure AI Foundry path is what surfaced first in the connector test:

Error from LLM adapter 'azure_ai': Azure_aiException -
{"type":"error","error":{"type":"invalid_request_error",
"message":"`temperature` is deprecated for this model."}, ...}

Pydantic's model_dump() on BaseChatCompletionParameters re-emits the default temperature=0.1 even when the caller never set one, so we cannot rely on "don't pass it" — we have to actively pop it after validation.

Reference: https://platform.claude.com/docs/en/about-claude/models/whats-new-claude-4-7

How

base1.py:

  • New module-level pattern table _SAMPLING_DEPRECATED_MODEL_PATTERNS = ("claude-opus-4-7",) and _DEPRECATED_SAMPLING_PARAMS = ("temperature", "top_p", "top_k"). The pattern table is the single point of extension — if Anthropic deprecates sampling on more models later, we add an entry here.
  • _has_deprecated_sampling_params lowercases the input and normalizes . and _ separators to - before substring-matching, which covers every encoding of the id we found:
    • Native Anthropic: claude-opus-4-7, anthropic/claude-opus-4-7
    • Bedrock foundation model id: anthropic.claude-opus-4-7-<date>-v1:0, with optional bedrock/converse/... / bedrock/invoke/... route prefixes
    • Bedrock cross-region inference profiles: us., eu., apac., global. variants
    • Bedrock foundation-model and inference-profile ARNs that embed the model id
    • Vertex AI: vertex_ai/claude-opus-4-7@<date>
    • Azure AI Foundry deployments whose name embeds the model id
  • _strip_deprecated_sampling_params checks both model and model_id (Bedrock's separate AIP ARN field) and pops the three sampling params if either one matches.

AnthropicLLMParameters.validate(), AWSBedrockLLMParameters.validate(), AzureAIFoundryLLMParameters.validate() — return _strip_deprecated_sampling_params(validated) instead of validated.

Coverage gap (documented in helper docstring)

Two cases the string-based detector cannot cover:

  1. Bedrock Application Inference Profile ARNs whose tail is opaque, e.g. arn:aws:bedrock:...:application-inference-profile/abcd1234. The string carries no model id. Mitigation: callers should keep the standard model id in either model or model_id. If both fields hold opaque ARNs, the strip won't fire.
  2. Azure AI Foundry deployments whose name does not embed claude-opus-4-7. Mitigation: rename the deployment to include the model id, or — if this becomes common — add an explicit UI flag.

Can this PR break any existing features. If yes, please list possible items. If no, please explain why. (PS: Admins do not merge the PR without this section filled)

No.

  • The strip only fires when the model id matches claude-opus-4-7 after normalization. Every other Anthropic / Bedrock / Azure AI Foundry model retains its temperature / top_p / top_k exactly as before — verified by direct validate() calls against claude-3-5-sonnet, claude-opus-4-6, claude-sonnet-4-7, gpt-4o, etc.
  • top_p / top_k are not declared fields on the parameter classes today, so Pydantic was already dropping them silently for non-deprecated models. The defensive pop on the validated dict is a no-op for them in the normal path.

Database Migrations

  • None.

Env Config

  • None.

Relevant Docs

Related Issues or PRs

  • N/A — surfaced from the Azure AI Foundry connector test failure for an "azure opus 4.7" deployment.

Dependencies Versions

  • None.

Notes on Testing

  • Helper coverage matrix executed against 24 known Opus 4.7 id formats (native, Bedrock foundation, route-prefixed, cross-region profiles, foundation-model ARN, inference-profile ARN, Vertex @-suffixed, Azure deployments, mixed case, dot/underscore separators). All match. Negatives — claude-opus-4-6, claude-sonnet-4-7, claude-haiku-4-5, gpt-4o, gemini-2.0-flash, opaque AIP ARN, None, empty string — all correctly do not match.
  • AIP fallback: confirmed strip via model when standard id is in model and AIP ARN is in model_id; confirmed strip via model_id when AIP ARN is in model and standard id is in model_id; confirmed limitation when both fields hold opaque ARNs.
  • Adapter end-to-end: AnthropicLLMParameters.validate(), AWSBedrockLLMParameters.validate(), AzureAIFoundryLLMParameters.validate() — temperature stripped for Opus 4.7 inputs, retained for older Claude / non-Claude inputs.
  • pytest tests/ --ignore=tests/file_storage --ignore=tests/patches: 221 pass. (The unrelated import error in tests/patches/test_litellm_cohere_timeout.py is pre-existing on main.)
  • ruff format --check clean on the modified file.

Screenshots

N/A — backend SDK change.

Checklist

I have read and understood the Contribution Guidelines.

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coderabbitai Bot commented Apr 28, 2026

No actionable comments were generated in the recent review. 🎉

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  • unstract/sdk1/src/unstract/sdk1/adapters/base1.py

Summary by CodeRabbit

  • Bug Fixes
    • Validation now detects Anthropic-style model identifiers and automatically removes deprecated sampling parameters (temperature, top_p, top_k) so those fields are omitted when sending requests to Anthropic-compatible models.
    • This fix applies across Vertex AI, AWS Bedrock, and Azure AI Foundry integrations to prevent parameter-related request errors.

Walkthrough

Adds detection for Anthropic models that reject sampling parameters and a helper that removes temperature, top_p, and top_k from validated parameter dicts when such model identifiers appear; applies this cleanup so four provider validators return the cleaned dict.

Changes

Cohort / File(s) Summary
Sampling parameter cleanup & model detection
unstract/sdk1/src/unstract/sdk1/adapters/base1.py
Adds normalized substring/regex detection for Anthropic "deprecated sampling parameters" models; introduces a helper to pop temperature, top_p, and top_k from validated parameter dictionaries when model or model_id matches; updates AnthropicLLMParameters.validate, VertexAILLMParameters.validate, AWSBedrockLLMParameters.validate, and AzureAIFoundryLLMParameters.validate to return the post-cleanup result.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title accurately describes the main change: stripping deprecated sampling parameters for Claude Opus 4.7 models.
Description check ✅ Passed The pull request description is comprehensive and covers all required template sections with detailed explanations of what, why, and how.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
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greptile-apps Bot commented Apr 28, 2026

Greptile Summary

This PR fixes 400 errors from Anthropic-family providers by stripping temperature, top_p, and top_k from validated adapter metadata when the model id matches Claude Opus 4.7. Two module-level helpers are added to base1.py and wired into the validate() methods of all four affected adapters (Anthropic, Bedrock, Vertex AI, Azure AI Foundry).

  • P1 — thinking-mode / strip interaction: AWSBedrockLLMParameters.validate() and AnthropicLLMParameters.validate() both explicitly set temperature=1 when enable_thinking=True, but _strip_deprecated_sampling_params then unconditionally pops temperature for Opus 4.7 before the dict is returned. If the Bedrock Converse API or native Anthropic API still requires temperature=1 to activate extended thinking for this model, those requests will silently drop a required field.

Confidence Score: 4/5

Safe to merge after confirming Claude Opus 4.7 thinking mode works without temperature=1.

One P1 concern: thinking-mode temperature is set then immediately stripped for Opus 4.7. If the API works without temperature for thinking mode (likely, given it rejects the parameter entirely), this is a non-issue. All four provider paths are correctly wired, the regex anchoring prevents future model-name collisions, and no other models are affected.

unstract/sdk1/src/unstract/sdk1/adapters/base1.py — thinking-mode interaction with temperature stripping around lines 586–615 and 669–680.

Important Files Changed

Filename Overview
unstract/sdk1/src/unstract/sdk1/adapters/base1.py Adds two module-level helpers (_has_deprecated_sampling_params, _strip_deprecated_sampling_params) and wires them into VertexAI, Bedrock, Anthropic, and Azure AI Foundry validate() methods; regex anchoring addresses the previous substring-collision concern; thinking-mode / temperature interaction needs verification for Claude Opus 4.7.

Flowchart

%%{init: {'theme': 'neutral'}}%%
flowchart TD
    A[adapter_metadata input] --> B[validate_model - prefix model id]
    B --> C{enable_thinking?}
    C -- Yes --> D[set temperature=1 in result_metadata]
    C -- No --> E[skip]
    D --> F[model_dump via Pydantic]
    E --> F
    F --> G[_strip_deprecated_sampling_params]
    G --> H{model matches claude-opus-4-7?}
    H -- Yes --> I[pop temperature / top_p / top_k]
    H -- No --> J[return unchanged]
    I --> K[return validated dict - temperature=1 also stripped]
    J --> K
Loading

Comments Outside Diff (1)

  1. unstract/sdk1/src/unstract/sdk1/adapters/base1.py, line 586-615 (link)

    P1 Thinking mode temperature stripped for Claude Opus 4.7

    When enable_thinking=True and the model is Claude Opus 4.7, AWSBedrockLLMParameters.validate() explicitly sets temperature=1 at line 588 (required for thinking mode on earlier Claude models), but _strip_deprecated_sampling_params then pops that same temperature key before the dict is returned.

    If Bedrock's Converse API for Claude Opus 4.7 still needs temperature=1 to activate extended thinking, those calls will silently lose that field. The same race exists in AnthropicLLMParameters.validate() at line 680. Confirm with the Anthropic / Bedrock docs that Claude Opus 4.7 thinking mode operates correctly without any temperature field before shipping; if it does require it, the strip should guard thinking-mode calls.

    Prompt To Fix With AI
    This is a comment left during a code review.
    Path: unstract/sdk1/src/unstract/sdk1/adapters/base1.py
    Line: 586-615
    
    Comment:
    **Thinking mode temperature stripped for Claude Opus 4.7**
    
    When `enable_thinking=True` and the model is Claude Opus 4.7, `AWSBedrockLLMParameters.validate()` explicitly sets `temperature=1` at line 588 (required for thinking mode on earlier Claude models), but `_strip_deprecated_sampling_params` then pops that same `temperature` key before the dict is returned.
    
    If Bedrock's Converse API for Claude Opus 4.7 still needs `temperature=1` to activate extended thinking, those calls will silently lose that field. The same race exists in `AnthropicLLMParameters.validate()` at line 680. Confirm with the Anthropic / Bedrock docs that Claude Opus 4.7 thinking mode operates correctly without any `temperature` field before shipping; if it does require it, the strip should guard thinking-mode calls.
    
    How can I resolve this? If you propose a fix, please make it concise.

    Fix in Claude Code

Fix All in Claude Code

Prompt To Fix All With AI
This is a comment left during a code review.
Path: unstract/sdk1/src/unstract/sdk1/adapters/base1.py
Line: 586-615

Comment:
**Thinking mode temperature stripped for Claude Opus 4.7**

When `enable_thinking=True` and the model is Claude Opus 4.7, `AWSBedrockLLMParameters.validate()` explicitly sets `temperature=1` at line 588 (required for thinking mode on earlier Claude models), but `_strip_deprecated_sampling_params` then pops that same `temperature` key before the dict is returned.

If Bedrock's Converse API for Claude Opus 4.7 still needs `temperature=1` to activate extended thinking, those calls will silently lose that field. The same race exists in `AnthropicLLMParameters.validate()` at line 680. Confirm with the Anthropic / Bedrock docs that Claude Opus 4.7 thinking mode operates correctly without any `temperature` field before shipping; if it does require it, the strip should guard thinking-mode calls.

How can I resolve this? If you propose a fix, please make it concise.

Reviews (2): Last reviewed commit: "[FIX] Strip sampling params on Vertex AI..." | Re-trigger Greptile

Comment thread unstract/sdk1/src/unstract/sdk1/adapters/base1.py
@pk-zipstack pk-zipstack self-assigned this Apr 28, 2026
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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@unstract/sdk1/src/unstract/sdk1/adapters/base1.py`:
- Around line 50-53: VertexAILLMParameters.validate currently returns
validated_data without stripping Anthropic deprecated sampling params; modify
validate to call self._strip_deprecated_sampling_params(validated_data) (like
the other providers do) before returning so temperature/top_p/top_k are removed
for Anthropic/Claude Opus 4.7+ model IDs (e.g., vertex_ai/claude-opus-4-7@...) —
update the return path in VertexAILLMParameters.validate to return the stripped
validated_data.
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Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
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  • unstract/sdk1/src/unstract/sdk1/adapters/base1.py

Comment thread unstract/sdk1/src/unstract/sdk1/adapters/base1.py
Address review feedback on the Opus 4.7 sampling-param strip:

- VertexAILLMParameters.validate() now returns the stripped dict, so
  Claude Opus 4.7 routed through Vertex AI (vertex_ai/claude-opus-4-7@...)
  no longer sends temperature/top_p/top_k.
- Model pattern is now an anchored regex
  (`claude-opus-4-7(?=$|[-:@/v])`) so prefix collisions like
  claude-opus-4-70, claude-opus-4-75 do not silently strip sampling
  params from unrelated future models. The allowed delimiters cover
  every real id format: date suffix, Vertex @<date>, ARN paths, v1:0
  version tag, and end-of-string.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Test Results

Summary
  • Runner Tests: 11 passed, 0 failed (11 total)
  • SDK1 Tests: 230 passed, 0 failed (230 total)

Runner Tests - Full Report
filepath function $$\textcolor{#23d18b}{\tt{passed}}$$ SUBTOTAL
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_logs}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_cleanup}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_cleanup\_skip}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_run\_container}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_get\_image\_for\_sidecar}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_sidecar\_container}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{TOTAL}}$$ $$\textcolor{#23d18b}{\tt{11}}$$ $$\textcolor{#23d18b}{\tt{11}}$$
SDK1 Tests - Full Report
filepath function $$\textcolor{#23d18b}{\tt{passed}}$$ SUBTOTAL
$$\textcolor{#23d18b}{\tt{tests/file\_storage/test\_impl\_rm.py}}$$ $$\textcolor{#23d18b}{\tt{TestRmHappyPath.test\_bulk\_delete\_succeeds}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{tests/test\_llm\_compat.py}}$$ $$\textcolor{#23d18b}{\tt{TestLLMCompatFromLlm.test\_from\_llm\_reuses\_llm\_instance}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/test\_llm\_compat.py}}$$ $$\textcolor{#23d18b}{\tt{TestLLMCompatFromLlm.test\_from\_llm\_returns\_llmcompat\_instance}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/test\_llm\_compat.py}}$$ $$\textcolor{#23d18b}{\tt{TestLLMCompatFromLlm.test\_from\_llm\_sets\_model\_name}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_default\_configuration}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_custom\_exceptions\_only}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_custom\_predicate\_only}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_both\_exceptions\_and\_predicate}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_exceptions\_match\_but\_predicate\_false}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_retry\_platform\_service\_call\_exists}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_retry\_prompt\_service\_call\_exists}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_platform\_service\_decorator\_retries\_on\_connection\_error}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_prompt\_service\_decorator\_retries\_on\_timeout}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_warning\_logged\_on\_retry}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_info\_logged\_on\_success\_after\_retry}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_exception\_logged\_on\_giving\_up}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{TOTAL}}$$ $$\textcolor{#23d18b}{\tt{230}}$$ $$\textcolor{#23d18b}{\tt{230}}$$

@sonarqubecloud
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@pk-zipstack will we still show the temperature field in the UI for such models?

Comment thread unstract/sdk1/src/unstract/sdk1/adapters/base1.py
@jaseemjaskp jaseemjaskp self-requested a review May 2, 2026 16:32
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Automated review pass (PR Review Toolkit: code-reviewer, silent-failure-hunter, type-design-analyzer, comment-analyzer, code-simplifier, pr-test-analyzer). Findings posted inline; deduplicated against existing greptile/CodeRabbit/maintainer comments. Grouped by line and roughly prioritised (HIGH → LOW/optional).

# the `v1:0` version tag.
# See https://platform.claude.com/docs/en/about-claude/models/whats-new-claude-4-7
_SAMPLING_DEPRECATED_MODEL_PATTERNS: tuple[re.Pattern[str], ...] = (
re.compile(r"claude-opus-4-7(?=$|[-:@/v])"),
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HIGH — anchor lookahead admits v-prefixed words, not just version tags

(?=$|[-:@/v]) puts a bare v in the character class, so the trailing-edge boundary fires for any token starting with the letter v — e.g. claude-opus-4-7verbose, claude-opus-4-7vnext, or any future suffix-with-v id would match (currently theoretical, but the comment on lines 34–38 explicitly claims the anchor blocks unrelated future ids).

Fix: require the version pattern explicitly, e.g.

re.compile(r"claude-opus-4-7(?=$|[-:@/]|v\d)")

Keeps …-v1:0 / …v1 valid while rejecting alpha continuations starting with v. Extends the anchor concern raised earlier by greptile rather than duplicating it.

"""
if any(_has_deprecated_sampling_params(validated.get(f)) for f in _MODEL_ID_FIELDS):
for param in _DEPRECATED_SAMPLING_PARAMS:
validated.pop(param, None)
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HIGH — silent no-op when sampling params are present but no model-id field matches

If a Bedrock Application Inference Profile ARN with an opaque tail (or an Azure Foundry deployment whose name omits the model id) reaches this helper while temperature/top_p/top_k are populated, the strip silently returns the dict unchanged. The failure surfaces only as a 400 from Anthropic after dispatch, with no breadcrumb tying it back to the strip path. Six months from now an operator hitting that 400 has no way to know detection was attempted-and-skipped vs. never attempted.

Fix: add a single logger.debug (or logger.warning if you want it to page operators) on the no-strip branch only when at least one of _DEPRECATED_SAMPLING_PARAMS is present in validated:

if matched:
    for p in _DEPRECATED_SAMPLING_PARAMS:
        validated.pop(p, None)
elif any(p in validated for p in _DEPRECATED_SAMPLING_PARAMS):
    logger.debug(
        "Sampling-strip skipped; model ids did not match deprecation patterns: %s",
        {f: validated.get(f) for f in _MODEL_ID_FIELDS if validated.get(f)},
    )

Keeps the AIP/Foundry fallback non-fatal but observable.

standard model id only appears in `model_id`.
"""
if any(_has_deprecated_sampling_params(validated.get(f)) for f in _MODEL_ID_FIELDS):
for param in _DEPRECATED_SAMPLING_PARAMS:
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MED — post-strip temperature key invariant breaks validated["temperature"] consumers

BaseChatCompletionParameters.temperature defaults to Field(default=0.1), so before this PR every validate() return was guaranteed to carry temperature. After the strip, callers using validated["temperature"] (vs. .get) on an Opus 4.7 path now raise KeyError. Anything that reads this key for cost-tracking, telemetry, or UI display in the platform service / SDK runtime would silently break only on 4.7.

Fix: grep platform-service / SDK consumers of validate() output for direct ["temperature"] access and switch to .get("temperature"); document in this docstring that temperature may be absent post-strip so future consumers know the key is now optional.

return any(rx.search(normalized) for rx in _SAMPLING_DEPRECATED_MODEL_PATTERNS)


def _strip_deprecated_sampling_params(validated: dict[str, "Any"]) -> dict[str, "Any"]:
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MED — mutate-and-return is inconsistent with surrounding callers

The rest of this file consistently builds result_metadata = adapter_metadata.copy() (e.g. lines 264, 350, 584) when avoiding mutation. This helper mutates validated in place and returns the same dict; today’s four call sites are safe, but the asymmetry invites a future caller to do before = validated; after = _strip_deprecated_sampling_params(validated) and be surprised that before is after.

Fix (lowest-risk): rename to _strip_deprecated_sampling_params_inplace and return None, or shallow-copy and return the copy. The dict is small — a copy costs nothing and matches surrounding style.

Type-design note: invariant strength would also improve if the pattern ↔ forbidden-params link were structural rather than positional (parallel _SAMPLING_DEPRECATED_MODEL_PATTERNS and _DEPRECATED_SAMPLING_PARAMS tuples). Worth folding into ((pattern, frozenset(params)), …) only when a second deprecation lands with a different param set — not before.

if any(_has_deprecated_sampling_params(validated.get(f)) for f in _MODEL_ID_FIELDS):
for param in _DEPRECATED_SAMPLING_PARAMS:
validated.pop(param, None)
return validated
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MED — zero committed tests for the new helpers or the four wired call sites

git diff origin/main…HEAD --name-only shows only base1.py — the PR description’s 24-positive / 8-negative / AIP-fallback / four-end-to-end matrix is ad-hoc local. Repo-wide grep for claude-opus-4-7, _strip_deprecated_sampling_params, _has_deprecated_sampling_params matches only this file. The Vertex AI wiring gap that surfaced in review (commit 5a4ea27f shipped without it; addressed in 7fb66f15) is exactly the failure mode a parametrized adapter test would have caught.

Suggested minimal lock-in (unstract/sdk1/tests/adapters/test_base1_sampling_strip.py):

  • test_has_deprecated_sampling_params_positivepytest.mark.parametrize over the 24 id formats from the PR description (native, anthropic. Bedrock, us./eu./apac./global. cross-region, foundation-model ARN, inference-profile ARN, vertex_ai/...@<date>, Azure deployment, converse/, invoke/, ./_ separators, mixed case).
  • test_has_deprecated_sampling_params_negativeclaude-opus-4-6, claude-opus-4-70, claude-opus-4-75, claude-sonnet-4-7, claude-haiku-4-5, gpt-4o, gemini-2.0-flash, opaque AIP ARN, None, "". The 4-70/4-75 cases lock the (?=$|[-:@/v]) anchor.
  • test_strip_checks_model_id_field_fallback — opus id in model only, in model_id only, both opaque (no strip).
  • test_validate_strips_for_<adapter> — four parametrized cases (AnthropicLLMParameters, AWSBedrockLLMParameters, AzureAIFoundryLLMParameters, VertexAILLMParameters), each asserting the three keys absent for opus 4.7 / present for opus 4.6. A future refactor that drops a single call site regresses silently without these.

# after lowercasing and normalizing `.` / `_` to `-`, so a single entry covers:
# - Native Anthropic `claude-opus-4-7`, `anthropic/claude-opus-4-7`
# - Bedrock foundation model `anthropic.claude-opus-4-7-<date>-v1:0`
# - Bedrock route prefixes `converse/...`, `invoke/...`
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LOW — misleading bullet: route prefixes are not part of the pattern

“Bedrock route prefixes converse/..., invoke/...” reads as if the regex enumerates prefixes; it does not. The regex matches the claude-opus-4-7 token regardless of leading text, so prefixes like converse/ / invoke/ / bedrock/converse/ are accepted only as a side-effect of the trailing-edge-only anchor. Either drop the bullet or rephrase as “prefixes such as converse/ and invoke/ pass through because the match is anchored only at the trailing edge.”

# `claude-opus-4-70`, `claude-opus-4-75` do not match. The allowed delimiters
# cover the date suffix (`-20260101-v1:0`), Vertex `@<date>`, ARN paths, and
# the `v1:0` version tag.
# See https://platform.claude.com/docs/en/about-claude/models/whats-new-claude-4-7
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LOW — verify canonical docs URL

https://platform.claude.com/docs/en/about-claude/models/whats-new-claude-4-7 — the canonical Anthropic docs host is docs.claude.com / docs.anthropic.com; platform.claude.com is the console host and may not serve this docs path stably. Worth checking the link resolves before merge so the rationale comment doesn’t rot.

def _strip_deprecated_sampling_params(validated: dict[str, "Any"]) -> dict[str, "Any"]:
"""Drop sampling params for models that reject them (e.g. Claude Opus 4.7).

Pydantic's `model_dump()` re-emits the default `temperature=0.1` even when
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LOW — docstring “why” understates the scope of the strip

“Pydantic’s model_dump() re-emits the default temperature=0.1” is the load-bearing reason for popping temperature, but top_p / top_k are not declared fields on BaseChatCompletionParameters and so are not subject to the same Pydantic-default re-emit. The strip’s reason for handling them is to defend against caller-supplied values flowing through **adapter_metadata. Worth one extra clause so future readers understand both halves of the invariant.

(Distinct from the existing pk-zipstack / chandrasekharan-zipstack thread on this line about whether litellm handles the cleanup upstream.)

# cover the date suffix (`-20260101-v1:0`), Vertex `@<date>`, ARN paths, and
# the `v1:0` version tag.
# See https://platform.claude.com/docs/en/about-claude/models/whats-new-claude-4-7
_SAMPLING_DEPRECATED_MODEL_PATTERNS: tuple[re.Pattern[str], ...] = (
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OPTIONAL (simplify) — tuple-of-patterns + _MODEL_ID_FIELDS are over-abstracted for one entry today

With exactly one regex and exactly two id-bearing fields, the indirection costs more than it saves. If you want to reduce surface:

_SAMPLING_DEPRECATED_MODEL_RE = re.compile(r"claude-opus-4-7(?=$|[-:@/v])")
…
def _strip_deprecated_sampling_params(validated):
    if _has_deprecated_sampling_params(validated.get("model")) \
       or _has_deprecated_sampling_params(validated.get("model_id")):
        for param in _DEPRECATED_SAMPLING_PARAMS:
            validated.pop(param, None)
    return validated

Going back to a tuple/loop when (if) a second deprecation lands is a 2-line change. Reasonable people will disagree — the current shape is readable; this is purely a YAGNI call. Skip if you prefer keeping the table for forward-compat.

validated = AzureAIFoundryLLMParameters(**adapter_metadata).model_dump()
# Azure AI Foundry proxies Anthropic models that reject sampling params
# (e.g. Claude Opus 4.7); detection relies on the deployment name
# embedding the model id.
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LOW — inline comment is redundant and understates the failure mode

The helper docstring already documents the Foundry deployment-name caveat, so the three lines here mostly restate it. If the comment stays, strengthen the second half: “detection relies on the deployment name embedding the Anthropic model id; opaque deployment names skip the strip and will surface as a 400 from the provider.” Otherwise delete — the helper call reads self-explanatorily.

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