fix(llms): strip cache_breakpoint from LiteLLM messages - #1
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fix(llms): strip cache_breakpoint from LiteLLM messages#1warren-run-bot wants to merge 15 commits into
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Strip provider-unsupported cache_breakpoint keys from messages before sending to LiteLLM. Native providers (OpenAI, Anthropic, etc.) already strip these markers in BaseLLM._format_messages(), but the LiteLLM path in LLM._format_messages_for_provider() was bypassing that cleanup, causing Mistral API to reject requests with 'extra_forbidden' errors. The fix ensures cache_breakpoint is stripped in all LiteLLM flows while preserving the marker for native providers that translate it to their cache directives (e.g., Anthropic's cache_control). Fixes crewAIInc#6789
Add focused tests verifying that cache_breakpoint markers are stripped from messages before sending to LiteLLM. Tests confirm: - Mistral models have markers stripped - Generic LiteLLM models have markers stripped - Original message list is not mutated - All other message keys are preserved Tests use object.__new__(LLM) to bypass __new__ validation and avoid requiring LiteLLM installation. Also make Anthropic tests conditional on provider availability. Related to crewAIInc#6789
Add explicit type annotation and type ignore comment for the cleaned_messages list comprehension to satisfy mypy type checking. The comprehension filters cache_breakpoint but preserves all other message keys, matching the LLMMessage type.
Move type: ignore[list-item] comment to the line with the spread operator to properly suppress mypy error about list item type mismatch when spreading cleaned_messages. This maintains the same number of mypy errors as before the cache_breakpoint fix.
* Add injectable client for CrewAI platform tools Define an integrations client contract for action discovery and execution. Keep the existing platform API as the default client to preserve current behavior. Allow callers to provide a custom client through CrewaiPlatformTools. * Fix platform action tool failure tests * Remove redundant protocol placeholders
…nowflake CVE floor (crewAIInc#7182) * fix(llms): let current claude models use native structured outputs NATIVE_STRUCTURED_OUTPUT_MODELS only listed 4.5-era prefixes, so Opus 5, Sonnet 5, Fable 5 and Opus 4.8 fell through to the forced-tool-call fallback. That path also overwrites params["tools"], so a call combining tools with a response_model silently lost the caller's tools. _infer_provider_from_model documented a pattern-matching fallback it never performed, so a Claude release newer than the constants list resolved to "openai". Bedrock ('.' in model) and Azure (every OpenAI prefix) are left out of that fallback because they would capture gpt-* models. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * fix(llms): route bedrock-namespaced anthropic ids to bedrock "anthropic.claude-*" is Bedrock's namespace, not the Anthropic API, and it satisfies the anthropic prefix pattern. Settle it before the pattern loop so an unlisted Bedrock id picks BedrockCompletion. The region-prefixed form ("us.anthropic.claude-*") was resolving to openai, so this repairs that too. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> * fix(deps): raise snowflake-connector-python floor for CVE-2026-15925 GHSA-5cc2-282f-jjq2 (CRITICAL): the connector does not verify TLS hostnames, so a network attacker can impersonate the Snowflake endpoint. Fixed in 4.7.1. crewai-tools[snowflake] declares "snowflake-connector-python>=3.12.4", which the lock had resolved to 4.6.0. Following the existing convention, the security floor goes in [tool.uv] override-dependencies rather than the source declaration, matching how cryptography is handled. Relocking also refreshes numpy/humanfriendly/nvidia environment markers, which re-resolution under the relative exclude-newer window produces regardless of this change. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
* Validate JSON crews in project environments * fix(cli): address standalone deploy review feedback --------- Co-authored-by: Vidit Ostwal <110953813+Vidit-Ostwal@users.noreply.github.com>
* Decouple platform tools from the integrations API Define normalized selector and tool data so platform tool creation does not depend on the legacy API response shape. This contract makes the legacy client easier to replace later. - Move action discovery and response normalization into LegacyClient. - Pass ToolInfo from discovery through tool creation and execution. - Replace the builder flow with direct factory orchestration. - Preserve app, action, and connection data in immutable models. - Build sanitized tool names from the full tool identity. - Preserve legacy request, SSL, and failure behavior with contract tests. * fixup! Decouple platform tools from the integrations API * fixup! Decouple platform tools from the integrations API * fixup! Decouple platform tools from the integrations API * fixup! Decouple platform tools from the integrations API
…_cache.py Address PR review feedback by replacing the unsafe object.__new__(LLM) pattern with a proper Pydantic model_construct() approach. LLM inherits from BaseModel, so bypassing __new__ and directly assigning fields can raise AttributeError before the test methods run. This change introduces a test-only _LLMForTest subclass that overrides __new__ to allow model_construct() to work properly, providing a more idiomatic and safer way to instantiate test instances for testing internal methods like _format_messages_for_provider(). Addresses review comment on PR crewAIInc#7176
) * feat(flows): add now() to the CEL expression environment CEL expressions in flow definitions had no way to produce the current date: the environment was built bare, so date-dependent flows failed at runtime. Register a now() function that returns the current UTC time as a CEL timestamp. The value is frozen once per kickoff so every expression in a run sees the same instant, even across midnight. Standard CEL covers formatting from there: string(now()), now().getFullYear(), now() - duration('24h'). * chore(flows): drop redundant comment on _cel_now * refactor(flows): derive CEL env and functions from one registry A function now lives in one _CelFunctionSpec entry: its annotation for compile and its implementation factory for evaluate, so the two cannot drift. Run-scoped values move into _CelRunContext; adding one is a field, not a new parameter through every helper signature. * chore(flows): drop _CelRunContext docstring * fix(flows): freeze a fresh cel now() on human-feedback resume resume_async never passes through kickoff_async, so a flow restored with from_pending() had no frozen instant and now() fell back to live wall-clock per expression. Freeze a fresh instant at resume instead of persisting the kickoff one: a flow can pause on feedback for days, and expressions after resume must see today.
…IInc#7188) * fix(flow): resolve @human_feedback emit LLM from the project model Omitting llm= no longer hardcodes OpenAI. Collapse and learn resolve through create_llm so MODEL / MODEL_NAME / OPENAI_MODEL_NAME win, then DEFAULT_LLM_MODEL. * fix(flow): fail closed when human-feedback collapse cannot classify Stop routing to emit[0] when the collapse LLM cannot be called or its response does not match an outcome. Empty skip still uses default_outcome. * refactor(flow): extract human-feedback collapse matching helpers Move match/require outcome helpers out of _collapse_to_outcome so the classify path stays flat. * refactor(flow): catch only LLM call failures in collapse Keep HumanFeedbackCollapseError from matching outside the call try so it is raised once and does not trigger a second prompt. * fix(flow): treat non-object JSON as raw collapse text Avoid AttributeError when the collapse LLM returns JSON that is not an object.
* fix(telemetry): accept 1/yes/on on disable flags CREWAI_DISABLE_TELEMETRY=1 was ignored because the gate only matched true, so telemetry stayed on with no warning. * fix(telemetry): warn once on unrecognized disable values Stop repeating the same invalid-flag warning on every telemetry check, and drop the undocumented CREWAI_DISABLE_TRACKING alias from docs. --------- Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
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Summary
fix(llms): strip cache_breakpoint from LiteLLM messages
Agent notes
Move type: ignore[list-item] comment to the line with the spread
operator to properly suppress mypy error about list item type mismatch
when spreading cleaned_messages. This maintains the same number of mypy
errors as before the cache_breakpoint fix.
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run_zp2t6219v894Commits (4)
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