- add batch_size field to baseragconfig (default=100)
- update chromadb/qdrant clients and factories to use batch_size
- extract and filter batch_size from embedder config in knowledgestorage
- fix large csv files exceeding embedder token limits (#3574)
- remove unneeded conditional for type
Co-authored-by: Vini Brasil <vini@hey.com>
- support nested config format with embedderconfig typeddict
- fix parsing for model/model_name compatibility
- add validation, typing_extensions, and improved type hints
- enhance embedding factory with env var injection and provider support
- add tests for openai, azure, and all embedding providers
- misc fixes: test file rename, updated mocking patterns
* 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
---------
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
---------
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
---------
Co-authored-by: lorenzejay <lorenzejaytech@gmail.com>
- 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.
- 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
- 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
- Updated `crewai-tools` dependency from version 0.65.0 to 0.69.0 in `pyproject.toml` and `uv.lock`.
- Bumped crewAI version from 0.175.0 to 0.177.0 in `__init__.py`.
- Updated dependency versions in CLI templates for crew, flow, and tool projects to reflect the new crewAI version.
* fix: suppress Pydantic deprecation warnings in initialization
- Implemented a function to filter out Pydantic deprecation warnings, enhancing the user experience by preventing unnecessary warning messages during execution.
- Removed the previous warning filter setup to streamline the warning suppression process.
- Updated the User-Agent header formatting for consistency.
* fix type check
* dropped
* fix: update type-checker workflow and suppress warnings
- Updated the Python version matrix in the type-checker workflow to use double quotes for consistency.
- Added the `# type: ignore[assignment]` comment to the warning suppression assignment in `__init__.py` to address type checking issues.
- Ensured that the mypy command in the workflow allows for untyped calls and generics, enhancing type checking flexibility.
* better
