This fixes GitHub issue #4122 where users following the documentation
examples using the 'embedder' key were getting OPENAI_API_KEY errors
when trying to use non-OpenAI embedding providers like Amazon Bedrock.
Changes:
- Add 'embedder' key to RagToolConfig TypedDict as alias for 'embedding_model'
- Normalize 'embedder' to 'embedding_model' in _validate_config method
- Add validation to reject configs with both keys specified
- Add tests for embedder key alias and Bedrock embedder configuration
Co-Authored-By: João <joao@crewai.com>
- Replace Python representation with JsonSchema for tool arguments
- Remove deprecated PydanticSchemaParser in favor of direct schema generation
- Add handling for VAR_POSITIONAL and VAR_KEYWORD parameters
- Improve tool argument schema collection
* fix: gracefully terminate the future when executing a task async
* core: add unit test
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Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* supporting thinking for anthropic models
* drop comments here
* thinking and tool calling support
* fix: properly mock tool use and text block types in Anthropic tests
- Updated the test for the Anthropic tool use conversation flow to include type attributes for mocked ToolUseBlock and text blocks, ensuring accurate simulation of tool interactions during testing.
* feat: add AnthropicThinkingConfig for enhanced thinking capabilities
This update introduces the AnthropicThinkingConfig class to manage thinking parameters for the Anthropic completion model. The LLM and AnthropicCompletion classes have been updated to utilize this new configuration. Additionally, new test cassettes have been added to validate the functionality of thinking blocks across interactions.
Adds async support for tools with tests, async execution in the agent executor, and async operations for memory (with aiosqlite). Improves tool decorator typing, ensures _run backward compatibility, updates docs and docstrings, adds tests, and regenerates lockfiles.
Introduces async tool support with new tests, adds async execution to the agent executor, improves tool decorator typing, ensures _run backward compatibility, updates docs and docstrings, and adds additional tests.
* refactor: enhance model validation and provider inference in LLM class
- Updated the model validation logic to support pattern matching for new models and "latest" versions, improving flexibility for various providers.
- Refactored the `_validate_model_in_constants` method to first check hardcoded constants and then fall back to pattern matching.
- Introduced `_matches_provider_pattern` to streamline provider-specific model checks.
- Enhanced the `_infer_provider_from_model` method to utilize pattern matching for better provider inference.
This refactor aims to improve the extensibility of the LLM class, allowing it to accommodate new models without requiring constant updates to the hardcoded lists.
* feat: add new Anthropic model versions to constants
- Introduced "claude-opus-4-5-20251101" and "claude-opus-4-5" to the AnthropicModels and ANTHROPIC_MODELS lists for enhanced model support.
- Added "anthropic.claude-opus-4-5-20251101-v1:0" to BedrockModels and BEDROCK_MODELS to ensure compatibility with the latest model offerings.
- Updated test cases to ensure proper environment variable handling for model validation, improving robustness in testing scenarios.
* dont infer this way - dropped
- Changed "AMP" to "AOP" in multiple locations across JSON and MDX files to reflect the correct terminology for the Agent Operations Platform.
- Updated the introduction sections in English, Korean, and Portuguese to ensure consistency in the platform's naming.
* Adding drop parameters
* Adding test case
* Just some spacing addition
* Adding drop params to maintain consistency
* Changing variable name
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Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* feat: enhance flow event state management
- Added `state` attribute to `FlowFinishedEvent` to capture the flow's state as a JSON-serialized dictionary.
- Updated flow event emissions to include the serialized state, improving traceability and debugging capabilities during flow execution.
* fix: improve state serialization in Flow class
- Enhanced the `_copy_and_serialize_state` method to handle exceptions during JSON serialization of Pydantic models, ensuring robustness in state management.
- Updated test assertions to access the state as a dictionary, aligning with the new state structure.
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Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
