Add thread-safe, async-compatible event bus with read–write locking and
handler dependency ordering. Remove blinker dependency and implement
direct dispatch. Improve type safety, error handling, and deterministic
event synchronization.
Refactor tests to auto-wait for async handlers, ensure clean teardown,
and add comprehensive concurrency coverage. Replace thread-local state
in AgentEvaluator with instance-based locking for correct cross-thread
access. Enhance tracing reliability and event finalization.
* feat: add AWS Bedrock support and update dependencies
- Introduced BedrockCompletion class for AWS Bedrock integration in LLM.
- Added boto3 as a new dependency in both pyproject.toml and uv.lock.
- Updated LLM class to support Bedrock provider.
- Created new files for Bedrock provider implementation.
* using converse api
* converse
* linted
* refactor: update BedrockCompletion class to improve parameter handling
- Changed max_tokens from a fixed integer to an optional integer.
- Simplified model ID assignment by removing the inference profile mapping method.
- Cleaned up comments and unnecessary code related to tool specifications and model-specific parameters.
* ruff linted
* using native sdks with litellm fallback
* drop exa
* drop print on completion
* Refactor LLM and utility functions for type consistency
- Updated `max_tokens` parameter in `LLM` class to accept `float` in addition to `int`.
- Modified `create_llm` function to ensure consistent type hints and return types, now returning `LLM | BaseLLM | None`.
- Adjusted type hints for various parameters in `create_llm` and `_llm_via_environment_or_fallback` functions for improved clarity and type safety.
- Enhanced test cases to reflect changes in type handling and ensure proper instantiation of LLM instances.
* fix agent_tests
* fix litellm tests and usagemetrics fix
* drop print
* Refactor LLM event handling and improve test coverage
- Removed commented-out event emission for LLM call failures in `llm.py`.
- Added `from_agent` parameter to `CrewAgentExecutor` for better context in LLM responses.
- Enhanced test for LLM call failure to simulate OpenAI API failure and updated assertions for clarity.
- Updated agent and task ID assertions in tests to ensure they are consistently treated as strings.
* fix test_converter
* fixed tests/agents/test_agent.py
* Refactor LLM context length exception handling and improve provider integration
- Renamed `LLMContextLengthExceededException` to `LLMContextLengthExceededExceptionError` for clarity and consistency.
- Updated LLM class to pass the provider parameter correctly during initialization.
- Enhanced error handling in various LLM provider implementations to raise the new exception type.
- Adjusted tests to reflect the updated exception name and ensure proper error handling in context length scenarios.
* Enhance LLM context window handling across providers
- Introduced CONTEXT_WINDOW_USAGE_RATIO to adjust context window sizes dynamically for Anthropic, Azure, Gemini, and OpenAI LLMs.
- Added validation for context window sizes in Azure and Gemini providers to ensure they fall within acceptable limits.
- Updated context window size calculations to use the new ratio, improving consistency and adaptability across different models.
- Removed hardcoded context window sizes in favor of ratio-based calculations for better flexibility.
* fix test agent again
* fix test agent
* feat: add native LLM providers for Anthropic, Azure, and Gemini
- Introduced new completion implementations for Anthropic, Azure, and Gemini, integrating their respective SDKs.
- Added utility functions for tool validation and extraction to support function calling across LLM providers.
- Enhanced context window management and token usage extraction for each provider.
- Created a common utility module for shared functionality among LLM providers.
* chore: update dependencies and improve context management
- Removed direct dependency on `litellm` from the main dependencies and added it under extras for better modularity.
- Updated the `litellm` dependency specification to allow for greater flexibility in versioning.
- Refactored context length exception handling across various LLM providers to use a consistent error class.
- Enhanced platform-specific dependency markers for NVIDIA packages to ensure compatibility across different systems.
* refactor(tests): update LLM instantiation to include is_litellm flag in test cases
- Modified multiple test cases in test_llm.py to set the is_litellm parameter to True when instantiating the LLM class.
- This change ensures that the tests are aligned with the latest LLM configuration requirements and improves consistency across test scenarios.
- Adjusted relevant assertions and comments to reflect the updated LLM behavior.
* linter
* linted
* revert constants
* fix(tests): correct type hint in expected model description
- Updated the expected description in the test_generate_model_description_dict_field function to use 'Dict' instead of 'dict' for consistency with type hinting conventions.
- This change ensures that the test accurately reflects the expected output format for model descriptions.
* refactor(llm): enhance LLM instantiation and error handling
- Updated the LLM class to include validation for the model parameter, ensuring it is a non-empty string.
- Improved error handling by logging warnings when the native SDK fails, allowing for a fallback to LiteLLM.
- Adjusted the instantiation of LLM in test cases to consistently include the is_litellm flag, aligning with recent changes in LLM configuration.
- Modified relevant tests to reflect these updates, ensuring better coverage and accuracy in testing scenarios.
* fixed test
* refactor(llm): enhance token usage tracking and add copy methods
- Updated the LLM class to track token usage and log callbacks in streaming mode, improving monitoring capabilities.
- Introduced shallow and deep copy methods for the LLM instance, allowing for better management of LLM configurations and parameters.
- Adjusted test cases to instantiate LLM with the is_litellm flag, ensuring alignment with recent changes in LLM configuration.
* refactor(tests): reorganize imports and enhance error messages in test cases
- Cleaned up import statements in test_crew.py for better organization and readability.
- Enhanced error messages in test cases to use `re.escape` for improved regex matching, ensuring more robust error handling.
- Adjusted comments for clarity and consistency across test scenarios.
- Ensured that all necessary modules are imported correctly to avoid potential runtime issues.
- update imports and include handling for chromadb v1.1.0
- fix mypy and typing_compat issues (required, typeddict, voyageai)
- refine embedderconfig typing and allow base provider instances
- handle mem0 as special case for external memory storage
- bump tools and clean up redundant deps
- introduce baseembeddingsprovider and helper for embedding functions
- add core embedding types and migrate providers, factory, and storage modules
- remove unused type aliases and fix pydantic schema error
- update providers with env var support and related fixes
- Add pydantic-settings>=2.10.1 dependency for configuration management
- Update pydantic to 2.11.9 and python-dotenv to 1.1.1
- Migrate from deprecated tool.uv.dev-dependencies to dependency-groups.dev format
- Remove unnecessary dev dependencies: pillow, cairosvg
- Update all dev tooling to latest versions
- Remove duplicate python-dotenv from dev dependencies
* 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>
- 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.
- 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.
chore(dev): update tooling & CI workflows
- Upgrade ruff, mypy (strict), pre-commit; add hooks, stubs, config consolidation
- Add bandit to dev deps and update uv.lock
- Enhance ruff rules (modern Python style, B006 for mutable defaults)
- Update workflows to use uv, matrix strategy, and changed-file type checking
- Include tests in type checking; fix job names and add summary job for branch protection
* Bump crewAI version from 0.165.1 to 0.175.0 in __init__.py.
* Update tools dependency from 0.62.1 to 0.65.0 in pyproject.toml and uv.lock files.
* Reflect changes in CLI templates for crew, flow, and tool configurations.
- Bump crewAI version from 0.157.0 to 0.159.0
- Update tools dependency from 0.60.0 to 0.62.0 in pyproject.toml and uv.lock
- Ensure compatibility with the latest features and improvements in the tools package
* chore: update crewai-tools dependency to version 0.60.0
- Updated the `pyproject.toml` and `uv.lock` files to reflect the new version of `crewai-tools`.
- This change ensures compatibility with the latest features and improvements in the tools package.
* chore: bump CrewAI version to 0.157.0
- Updated the version in `__init__.py` to reflect the new release.
- Adjusted dependency versions in `pyproject.toml` files for crew, flow, and tool templates to ensure compatibility with the latest features and improvements in CrewAI.
- This change maintains consistency across the project and prepares for upcoming enhancements.
- Updated `crewai-tools` dependency from `0.58.0` to `0.59.0` in `pyproject.toml` and `uv.lock`.
- Bumped the version of the CrewAI library from `0.150.0` to `0.152.0` in `__init__.py`.
- Updated dependency versions in CLI templates for crew, flow, and tool projects to reflect the new CrewAI version.
- Updated `crewai-tools` dependency from `0.55.0` to `0.58.0` in `pyproject.toml` and `uv.lock`.
- Added new packages `anthropic`, `browserbase`, `playwright`, `pyee`, and `stagehand` with their respective versions in `uv.lock`.
- Bumped the version of the CrewAI library from `0.148.0` to `0.150.0` in `__init__.py`.
- Updated dependency versions in CLI templates for crew, flow, and tool projects to reflect the new CrewAI version.
* Update CrewAI version to 0.148.0 in project templates and dependencies
* Update crewai-tools dependency to version 0.55.0 in pyproject.toml and uv.lock for improved functionality and performance.
- Bump crewAI version to 0.141.0 in __init__.py for alignment with updated dependencies.
- Update `crewai-tools` dependency version to 0.51.0 in pyproject.toml and related template files.
- Add new testing dependencies: pytest-split and pytest-xdist for improved test execution.
- Ensure compatibility with the latest package versions in uv.lock and template files.
* fix: clean up whitespace and update dependencies
* Removed unnecessary whitespace in multiple files for consistency.
* Updated `crewai-tools` dependency version to `0.49.0` in `pyproject.toml` and related template files.
* Bumped CrewAI version to `0.140.0` in `__init__.py` for alignment with updated dependencies.
* chore: update pyproject.toml to exclude documentation from build targets
* Added exclusions for the `docs` directory in both wheel and sdist build targets to streamline the build process and reduce unnecessary file inclusion.
* chore: update uv.lock for dependency resolution and Python version compatibility
* Incremented revision to 2.
* Updated resolution markers to include support for Python 3.13 and adjusted platform checks for better compatibility.
* Added new wheel URLs for zstandard version 0.23.0 to ensure availability across various platforms.
* chore: pin json-repair dependency version in pyproject.toml and uv.lock
* Updated json-repair dependency from a range to a specific version (0.25.2) for consistency and to avoid potential compatibility issues.
* Adjusted related entries in uv.lock to reflect the pinned version, ensuring alignment across project files.
* chore: pin agentops dependency version in pyproject.toml and uv.lock
* Updated agentops dependency from a range to a specific version (0.3.18) for consistency and to avoid potential compatibility issues.
* Adjusted related entries in uv.lock to reflect the pinned version, ensuring alignment across project files.
* test: enhance cache call assertions in crew tests
* Improved the test for cache hitting between agents by filtering mock calls to ensure they include the expected 'tool' and 'input' keywords.
* Added assertions to verify the number of cache calls and their expected arguments, enhancing the reliability of the test.
* Cleaned up whitespace and improved readability in various test cases for better maintainability.
* Updated LiteLLM dependency.
This moves to the latest stable release. Critically, this includes a fix
from https://github.com/BerriAI/litellm/pull/11563 which is required to
use grok-3-mini with crewAI.
* Ran `uv sync` as requested.
- Bump CrewAI version from 0.126.0 to 0.130.0 in pyproject.toml and uv.lock.
- Update optional dependency 'crewai-tools' version from 0.46.0 to 0.47.1.
- Adjust dependency specifications in CLI templates to reflect the new version.
* ci: support python 3.13 on CI
* docs: update docs about support python version
* build: adds requires python <3.14
* build: explicit tokenizers dependency
Added explicit tokenizers dependency: Added tokenizers>=0.20.3 to ensure a version compatible with Python 3.13 is used.
* build: drop fastembed is not longer used
* build: attempt to build PyTorch on Python 3.13
* feat: upgrade fastavro, pyarrow and lancedb
* build: ensure tiktoken greather than 0.8.0 due Python 3.13 compatibility
This commit updates the project version to 0.119.0 and modifies the required version of the `crewai-tools` dependency to 0.44.0 across various configuration files. Additionally, the version number is reflected in the `__init__.py` file and the CLI templates for crew, flow, and tool projects.
* build(dev): add pytest-randomly dependency
By randomizing the test execution order, this helps identify tests
that unintentionally depend on shared state or specific execution
order, which can lead to flaky or unreliable test behavior.
* build(dev): add pytest-timeout
This will prevent a test from running indefinitely
* test: block external requests in CI and set default 10s timeout per test
* test: adding missing cassettes
We notice that those cassettes are missing after enabling block-network on CI
* test: increase tests timeout on CI
* test: fix flaky test ValueError: Circular reference detected (id repeated)
* fix: prevent crash when event handler raises exception
Previously, if a registered event handler raised an exception during execution,
it could crash the entire application or interrupt the event dispatch process.
This change wraps handler execution in a try/except block within the `emit` method,
ensuring that exceptions are caught and logged without affecting other handlers or flow.
This improves the resilience of the event bus, especially when handling third-party
or temporary listeners.
