This commit adds a reference to a custom CodeQL configuration file (.github/codeql-config.yml) in the GitHub Actions workflow for CodeQL analysis. This enhancement allows for more tailored queries and analysis settings during the code scanning process.
Initial commit for the Canary Crew project using crewAI. Includes workflow for GitHub Actions, project configuration, agent and task YAML files, main execution and utility scripts, a custom tool example, user knowledge file, and documentation. Enables multi-agent AI research and reporting with markdown output.
* fix: Make 'ready' parameter optional in _create_reasoning_plan function
This PR fixes Issue #3466 where the _create_reasoning_plan function was missing
the 'ready' parameter when called by the LLM. The fix makes the 'ready' parameter
optional with a default value of False, which allows the function to be called
with only the 'plan' argument.
Fixes#3466
* Change default value of 'ready' parameter to True
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Co-authored-by: João Moura <joaomdmoura@gmail.com>
* chore: update dependencies and versioning for CrewAI
- Bump `crewai-tools` dependency version from `0.71.0` to `0.73.0` in `pyproject.toml`.
- Update CrewAI version from `0.186.1` to `0.193.0` in `__init__.py`.
- Adjust dependency versions in CLI templates for crew, flow, and tool to reflect the new CrewAI version.
This update ensures compatibility with the latest features and improvements in CrewAI.
* remove embedchain mock
* fix: remove last embedchain mocks
* fix: remove langchain_openai from tests
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Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* feat(tracing): enhance first-time trace display and auto-open browser
* avoinding line breaking
* set tracing if user enables it
* linted
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Co-authored-by: lorenzejay <lorenzejaytech@gmail.com>
* docs: update RagTool references from EmbedChain to CrewAI native RAG
* change ref to qdrant
* docs: update RAGTool to use Qdrant and add embedding_model example
- Refactor the default embedding function to utilize OpenAI's embedding function with API key support.
- Import necessary OpenAI embedding function and configure it with the environment variable for the API key.
- Ensure compatibility with existing ChromaDB configuration model.
- Add limit and score_threshold to BaseRagConfig, propagate to clients
- Update default search params in RAG storage, knowledge, and memory (limit=5, threshold=0.6)
- Fix linting (ruff, mypy, PERF203) and refactor save logic
- Update tests for new defaults and ChromaDB behavior
* feat(tracing): implement first-time trace handling and improve event management
- Added FirstTimeTraceHandler for managing first-time user trace collection and display.
- Enhanced TraceBatchManager to support ephemeral trace URLs and improved event buffering.
- Updated TraceCollectionListener to utilize the new FirstTimeTraceHandler.
- Refactored type annotations across multiple files for consistency and clarity.
- Improved error handling and logging for trace-related operations.
- Introduced utility functions for trace viewing prompts and first execution checks.
* brought back crew finalize batch events
* refactor(trace): move instance variables to __init__ in TraceBatchManager
- Refactored TraceBatchManager to initialize instance variables in the constructor instead of as class variables.
- Improved clarity and encapsulation of the class state.
* fix(tracing): improve error handling in user data loading and saving
- Enhanced error handling in _load_user_data and _save_user_data functions to log warnings for JSON decoding and file access issues.
- Updated documentation for trace usage to clarify the addition of tracing parameters in Crew and Flow initialization.
- Refined state management in Flow class to ensure proper handling of state IDs when persistence is enabled.
* add some tests
* fix test
* fix tests
* refactor(tracing): enhance user input handling for trace viewing
- Replaced signal-based timeout handling with threading for user input in prompt_user_for_trace_viewing function.
- Improved user experience by allowing a configurable timeout for viewing execution traces.
- Updated tests to mock threading behavior and verify timeout handling correctly.
* fix(tracing): improve machine ID retrieval with error handling
- Added error handling to the _get_machine_id function to log warnings when retrieving the machine ID fails.
- Ensured that the function continues to provide a stable, privacy-preserving machine fingerprint even in case of errors.
* refactor(flow): streamline state ID assignment in Flow class
- Replaced direct attribute assignment with setattr for improved flexibility in handling state IDs.
- Enhanced code readability by simplifying the logic for setting the state ID when persistence is enabled.
Code QL, when configured through the GUI, does not allow for advanced configuration. This PR upgrades from an advanced file-based config which allows us to exclude certain paths.
- Updated CrewAI version from 0.186.0 to 0.186.1 in `__init__.py`.
- Updated `crewai[tools]` dependency version in `pyproject.toml` for crew, flow, and tool templates to reflect the new CrewAI version.
- Updated `crewai-tools` dependency from version 0.69.0 to 0.71.0 in `pyproject.toml`.
- Bumped CrewAI version from 0.177.0 to 0.186.0 in `__init__.py`.
- Updated dependency versions in CLI templates for crew, flow, and tool to reflect the new CrewAI version.
* test: add test to ensure tool is called only once during crew execution
- Introduced a new test case to validate that the counting_tool is executed exactly once during crew execution.
- Created a CountingTool class to track execution counts and log call history.
- Enhanced the test suite with a YAML cassette for consistent tool behavior verification.
* ensure tool function called only once
* refactor: simplify error handling in CrewStructuredTool
- Removed unnecessary try-except block around the tool function call to streamline execution flow.
- Ensured that the tool function is called directly, improving readability and maintainability.
* linted
* need to ignore for now as we cant infer the complex generic type within pydantic create_model_func
* fix tests
- Build and cache uv dependencies; update type-checker, tests, and linter to use cache
- Remove separate security-checker
- Add explicit workflow permissions for compliance
- Remove pull_request trigger from build-cache workflow
- Update to Python 3.10+ typing across LLM, callbacks, storage, and errors
- Complete typing updates for crew_chat and hitl
- Add stop attr to mock LLM, suppress test warnings
- Add type-ignore for aisuite import
* fix: support to define MPC connection timeout on CrewBase instance
* fix: resolve linter issues
* chore: ignore specific rule N802 on CrewBase class
* fix: ignore untyped import
- Disable E501 line length linting rule
- Add Google-style docstrings to tasks leaf file
- Modernize typing and docs in task_output.py
- Improve typing and documentation in conditional_task.py
