* feat: add support for Anthropic provider and enhance logging
- Introduced the `anthropic` package with version `0.69.0` in `pyproject.toml` and `uv.lock`, allowing for integration with the Anthropic API.
- Updated logging in the LLM class to provide clearer error messages when importing native providers, enhancing debugging capabilities.
- Improved error handling in the AnthropicCompletion class to guide users on installation via the updated error message format.
- Refactored import error handling in other provider classes to maintain consistency in error messaging and installation instructions.
* feat: enhance LLM support with Bedrock provider and update dependencies
- Added support for the `bedrock` provider in the LLM class, allowing integration with AWS Bedrock APIs.
- Updated `uv.lock` to replace `boto3` with `bedrock` in the dependencies, reflecting the new provider structure.
- Introduced `SUPPORTED_NATIVE_PROVIDERS` to include `bedrock` and ensure proper error handling when instantiating native providers.
- Enhanced error handling in the LLM class to raise informative errors when native provider instantiation fails.
- Added tests to validate the behavior of the new Bedrock provider and ensure fallback mechanisms work correctly for unsupported providers.
* test: update native provider fallback tests to expect ImportError
* adjust the test with the expected bevaior - raising ImportError
* this is exoecting the litellm format, all gemini native tests are in test_google.py
---------
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* feat: add Azure AI Inference support and related tests
- Introduced the `azure-ai-inference` package with version `1.0.0b9` and its dependencies in `uv.lock` and `pyproject.toml`.
- Added new test files for Azure LLM functionality, including tests for Azure completion and tool handling.
- Implemented comprehensive test cases to validate Azure-specific behavior and integration with the CrewAI framework.
- Enhanced the testing framework to mock Azure credentials and ensure proper isolation during tests.
* feat: enhance AzureCompletion class with Azure OpenAI support
- Added support for the Azure OpenAI endpoint in the AzureCompletion class, allowing for flexible endpoint configurations.
- Implemented endpoint validation and correction to ensure proper URL formats for Azure OpenAI deployments.
- Enhanced error handling to provide clearer messages for common HTTP errors, including authentication and rate limit issues.
- Updated tests to validate the new endpoint handling and error messaging, ensuring robust integration with Azure AI Inference.
- Refactored parameter preparation to conditionally include the model parameter based on the endpoint type.
* feat: enhance BedrockCompletion class with advanced features and error handling
- Added support for guardrail configuration, additional model request fields, and custom response field paths in the BedrockCompletion class.
- Improved error handling for AWS exceptions and added token usage tracking with stop reason logging.
- Enhanced streaming response handling with comprehensive event management, including tool use and content block processing.
- Updated documentation to reflect new features and initialization parameters.
- Introduced a new test suite for BedrockCompletion to validate functionality and ensure robust integration with AWS Bedrock APIs.
* chore: add boto typing
* fix: use typing_extensions.Required for Python 3.10 compatibility
---------
Co-authored-by: Greyson Lalonde <greyson.r.lalonde@gmail.com>
* feat: enhance GeminiCompletion class with client parameter support
- Added support for client_params in the GeminiCompletion class to allow for additional client configuration.
- Refactored client initialization into a dedicated method for improved parameter handling.
- Introduced a new method to retrieve client parameters, ensuring compatibility with the base class.
- Enhanced error handling during client initialization to provide clearer messages for missing configuration.
- Updated documentation to reflect the changes in client parameter usage.
* add optional dependancies
* refactor: update test fixture to mock GOOGLE_API_KEY
- Renamed the fixture from `mock_anthropic_api_key` to `mock_google_api_key` to reflect the change in the environment variable being mocked.
- This update ensures that all tests in the module can run with a mocked GOOGLE_API_KEY, improving test isolation and reliability.
* fix tests
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.
