- Added support for before and after LLM call hooks to allow modification of messages and responses during LLM interactions.
- Introduced LLMCallHookContext to provide hooks with access to the executor state, enabling in-place modifications of messages.
- Updated get_llm_response function to utilize the new hooks, ensuring that modifications persist across iterations.
- Enhanced tests to verify the functionality of the hooks and their error handling capabilities, ensuring robust execution flow.
* feat: add messages to task and agent outputs
- Introduced a new field in and to capture messages from the last task execution.
- Updated the class to store the last messages and provide a property for easy access.
- Enhanced the and classes to include messages in their outputs.
- Added tests to ensure that messages are correctly included in task outputs and agent outputs during execution.
* using typing_extensions for 3.10 compatability
* feat: add last_messages attribute to agent for improved task tracking
- Introduced a new `last_messages` attribute in the agent class to store messages from the last task execution.
- Updated the `Crew` class to handle the new messages attribute in task outputs.
- Enhanced existing tests to ensure that the `last_messages` attribute is correctly initialized and utilized across various guardrail scenarios.
* fix: add messages field to TaskOutput in tests for consistency
- Updated multiple test cases to include the new `messages` field in the `TaskOutput` instances.
- Ensured that all relevant tests reflect the latest changes in the TaskOutput structure, maintaining consistency across the test suite.
- This change aligns with the recent addition of the `last_messages` attribute in the agent class for improved task tracking.
* feat: preserve messages in task outputs during replay
- Added functionality to the Crew class to store and retrieve messages in task outputs.
- Enhanced the replay mechanism to ensure that messages from stored task outputs are preserved and accessible.
- Introduced a new test case to verify that messages are correctly stored and replayed, ensuring consistency in task execution and output handling.
- This change improves the overall tracking and context retention of task interactions within the CrewAI framework.
* fix original test, prev was debugging
- Added section on LLM-based guardrails, explaining their usage and requirements.
- Updated examples to demonstrate the implementation of multiple guardrails, including both function-based and LLM-based approaches.
- Clarified the distinction between single and multiple guardrails in task configurations.
- Improved explanations of guardrail functionality to ensure better understanding of validation processes.
- Enhanced the MCP tool execution in both synchronous and asynchronous contexts by utilizing for better event loop management.
- Updated error handling to provide clearer messages for connection issues and task cancellations.
- Added tests to validate MCP tool execution in both sync and async scenarios, ensuring robust functionality across different contexts.
* WIP transport support mcp
* refactor: streamline MCP tool loading and error handling
* linted
* Self type from typing with typing_extensions in MCP transport modules
* added tests for mcp setup
* added tests for mcp setup
* docs: enhance MCP overview with detailed integration examples and structured configurations
* feat: implement MCP event handling and logging in event listener and client
- Added MCP event types and handlers for connection and tool execution events.
- Enhanced MCPClient to emit events on connection status and tool execution.
- Updated ConsoleFormatter to handle MCP event logging.
- Introduced new MCP event types for better integration and monitoring.
* fix: update document ID handling in ChromaDB utility functions to use SHA-256 hashing and include index for uniqueness
* test: add tests for hash-based ID generation in ChromaDB utility functions
* drop idx for preventing dups, upsert should handle dups
* fix: update document ID extraction logic in ChromaDB utility functions to check for doc_id at the top level of the document
* fix: enhance document ID generation in ChromaDB utility functions to deduplicate documents and ensure unique hash-based IDs without suffixes
* fix: improve error handling and document ID generation in ChromaDB utility functions to ensure robust processing and uniqueness
fix: refine nested flow conditionals and ensure router methods and routes are fully parsed
fix: improve docstrings, typing, and logging coverage across all events
feat: update flow.plot feature with new UI enhancements
chore: apply Ruff linting, reorganize imports, and remove deprecated utilities/files
chore: split constants and utils, clean JS comments, and add typing for linters
tests: strengthen test coverage for flow execution paths and router logic
* fix: update default LLM model and improve error logging in LLM utilities
* Updated the default LLM model from "gpt-4o-mini" to "gpt-4.1-mini" for better performance.
* Enhanced error logging in the LLM utilities to use logger.error instead of logger.debug, ensuring that errors are properly reported and raised.
* Added tests to verify behavior when OpenAI API key is missing and when Anthropic dependency is not available, improving robustness and error handling in LLM creation.
* fix: update test for default LLM model usage
* Refactored the test_create_llm_with_none_uses_default_model to use the imported DEFAULT_LLM_MODEL constant instead of a hardcoded string.
* Ensured that the test correctly asserts the model used is the current default, improving maintainability and consistency across tests.
* change default model to gpt-4.1-mini
* change default model use defualt
* feat: enhance InternalInstructor to support multiple LLM providers
- Updated InternalInstructor to conditionally create an instructor client based on the LLM provider.
- Introduced a new method _create_instructor_client to handle client creation using the modern from_provider pattern.
- Added functionality to extract the provider from the LLM model name.
- Implemented tests for InternalInstructor with various LLM providers including OpenAI, Anthropic, Gemini, and Azure, ensuring robust integration and error handling.
This update improves flexibility and extensibility for different LLM integrations.
* fix test
Fix navigation paths for two integration tool cards that were redirecting to the
introduction page instead of their intended documentation pages.
Fixes#3516
Co-authored-by: Cwarre33 <cwarre33@charlotte.edu>
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* Implement improvements on QdrantVectorSearchTool
- Allow search filters to be set at the constructor level
- Fix issue that prevented multiple records from being returned
* Implement improvements on QdrantVectorSearchTool
- Allow search filters to be set at the constructor level
- Fix issue that prevented multiple records from being returned
---------
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* chore: update codeql config paths to new folders
* tests: use threading.Condition for event check
---------
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
* docs: update LLM integration details and examples
- Changed references from LiteLLM to native SDKs for LLM providers.
- Enhanced OpenAI and AWS Bedrock sections with new usage examples and advanced configuration options.
- Added structured output examples and supported environment variables for better clarity.
- Improved documentation on additional parameters and features for LLM configurations.
* drop this example - should use strucutred output from task instead
---------
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
