Dependabot's uv updater defaults to Python 3.14.2, which is incompatible
with the project's requires-python constraint (>=3.10, <3.14). Adding
.python-version pins the Python version to 3.13 for dependency updates.
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* limit to 0.5.9 due breaking changes + add env vars requirements
* fix tool spec extract that was ignoring with default
* original tool spec
* update spec
When monitoring LLM events, consumers need to know which events belong
to the same API call. Before this change, there was no way to correlate
LLMCallStartedEvent, LLMStreamChunkEvent, and LLMCallCompletedEvent
belonging to the same request.
This commit modifies the Agent class to conditionally call the handle_reasoning function based on the executor class being used. The legacy CrewAgentExecutor will continue to utilize handle_reasoning, while the new AgentExecutor will manage planning internally. Additionally, the PlanningConfig class has been referenced in the documentation to clarify its role in enabling or disabling planning. Tests have been updated to reflect these changes and ensure proper functionality.
This update adds a new PlanningConfig class to manage agent planning configurations, allowing for customizable planning behavior before task execution. The existing reasoning parameter is deprecated in favor of this new configuration, ensuring backward compatibility while enhancing the planning process. Additionally, the Agent class has been updated to utilize this new configuration, and relevant utility functions have been adjusted accordingly. Tests have been added to validate the new planning functionality and ensure proper integration with existing agent workflows.
* feat: add server-side auth schemes and protocol extensions
- add server auth scheme base class and implementations (api key, bearer token, basic/digest auth, mtls)
- add server-side extension system for a2a protocol extensions
- add extensions middleware for x-a2a-extensions header management
- add extension validation and registry utilities
- enhance auth utilities with server-side support
- add async intercept method to match client call interceptor protocol
- fix type_checking import to resolve mypy errors with a2aconfig
* feat: add transport negotiation and content type handling
- add transport negotiation logic with fallback support
- add content type parser and encoder utilities
- add transport configuration models (client and server)
- add transport types and enums
- enhance config with transport settings
- add negotiation events for transport and content type
* feat: add a2a delegation support to LiteAgent
* feat: add file input support to a2a delegation and tasks
Introduces handling of file inputs in A2A delegation flows by converting file dictionaries to protocol-compatible parts and propagating them through delegation and task execution functions. Updates include utility functions for file conversion, changes to message construction, and passing input_files through relevant APIs.
* feat: liteagent a2a delegation support to kickoff methods
* fix: improve output handling and response model integration in agents
- Refactored output handling in the Agent class to ensure proper conversion and formatting of outputs, including support for BaseModel instances.
- Enhanced the AgentExecutor class to correctly utilize response models during execution, improving the handling of structured outputs.
- Updated the Gemini and Anthropic completion providers to ensure compatibility with new response model handling, including the addition of strict mode for function definitions.
- Improved the OpenAI completion provider to enforce strict adherence to function schemas.
- Adjusted translations to clarify instructions regarding output formatting and schema adherence.
* drop what was a print that didnt get deleted properly
* fixes gemini
* azure working
* bedrock works
* added tests
* adjust test
* fix tests and regen
* fix tests and regen
* refactor: ensure stop words are applied correctly in Azure, Gemini, and OpenAI completions; add tests to validate behavior with structured outputs
* linting
* no need post tool reflection on native tools
* refactor: update prompt generation to prevent thought leakage
- Modified the prompt structure to ensure agents without tools use a simplified format, avoiding ReAct instructions.
- Introduced a new 'task_no_tools' slice for agents lacking tools, ensuring clean output without Thought: prefixes.
- Enhanced test coverage to verify that prompts do not encourage thought leakage, ensuring outputs remain focused and direct.
- Added integration tests to validate that real LLM calls produce clean outputs without internal reasoning artifacts.
* dont forget the cassettes
- add gemini 2.0 schema support using response_json_schema with propertyordering while retaining backward compatibility for earlier models
- refactor llm completions to return validated pydantic models when a response_model is provided, updating hooks, types, and tests for consistent structured outputs
- extend agentfinish and executors to support basemodel outputs, improve anthropic structured parsing, and clean up schema utilities, tests, and original_json handling
* feat: implement before and after tool call hooks in CrewAgentExecutor and AgentExecutor
- Added support for before and after tool call hooks in both CrewAgentExecutor and AgentExecutor classes.
- Introduced ToolCallHookContext to manage context for hooks, allowing for enhanced control over tool execution.
- Implemented logic to block tool execution based on before hooks and to modify results based on after hooks.
- Added integration tests to validate the functionality of the new hooks, ensuring they work as expected in various scenarios.
- Enhanced the overall flexibility and extensibility of tool interactions within the CrewAI framework.
* Potential fix for pull request finding 'Unused local variable'
Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
* Potential fix for pull request finding 'Unused local variable'
Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
* test: add integration test for before hook blocking tool execution in Crew
- Implemented a new test to verify that the before hook can successfully block the execution of a tool within a crew.
- The test checks that the tool is not executed when the before hook returns False, ensuring proper control over tool interactions.
- Enhanced the validation of hook calls to confirm that both before and after hooks are triggered appropriately, even when execution is blocked.
- This addition strengthens the testing coverage for tool call hooks in the CrewAI framework.
* drop unused
* refactor(tests): remove OPENAI_API_KEY check from tool hook tests
- Eliminated the check for the OPENAI_API_KEY environment variable in the test cases for tool hooks.
- This change simplifies the test setup and allows for running tests without requiring the API key to be set, improving test accessibility and flexibility.
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Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
- fix(gemini): prevent tool calls from using stale text content; correct key refs
- fix(agent-executor): resolve type errors
- refactor(schema): extract Pydantic schema utilities from platform tools
- fix(schema): properly serialize schemas and ensure Responses API uses a separate structure
- fix: preserve list identity to avoid mutation/aliasing issues
- chore(tests): update assumptions to match new behavior
- Bumped the version number to 1.9.0 in pyproject.toml files and __init__.py files across the CrewAI library and its tools.
- Updated dependencies to use the new version of crewai-tools (1.9.0) for improved functionality and compatibility.
- Ensured consistency in versioning across the codebase to reflect the latest updates.
* fix: enhance file store with fallback memory cache when aiocache is not installed
- Added a simple in-memory cache implementation to serve as a fallback when the aiocache library is unavailable.
- Improved error handling for the aiocache import, ensuring that the application can still function without it.
- This change enhances the robustness of the file store utility by providing a reliable caching mechanism in various environments.
* drop fallback
* Potential fix for pull request finding 'Unused global variable'
Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
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Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
* feat: introduce GoogleGenAIVertexEmbeddingFunction for dual SDK support
- Added a new embedding function to support both the legacy vertexai.language_models SDK and the new google-genai SDK for Google Vertex AI.
- Updated factory methods to route to the new embedding function.
- Enhanced VertexAIProvider and related configurations to accommodate the new model options.
- Added integration tests for Google Vertex embeddings with Crew memory, ensuring compatibility and functionality with both authentication methods.
This update improves the flexibility and compatibility of Google Vertex AI embeddings within the CrewAI framework.
* fix test count
* rm comment
* regen cassettes
* regen
* drop variable from .envtest
* dreict to relevant trest only
* feat: add response_format parameter to Azure and Gemini providers
* feat: add structured outputs support to Bedrock and Anthropic providers
* chore: bump anthropic dep
* fix: use beta structured output for new models
