- Revised the `post_tool_reasoning` message to clarify the analysis process after tool usage, emphasizing the need to provide only the final answer if requirements are met.
- Updated the `format` message to simplify the instructions for deciding between using a tool or providing a final answer, enhancing clarity for users.
- These changes improve the overall user experience by providing clearer guidance on task execution and response formatting.
- Updated the method to process all tools from in a single batch, enhancing efficiency and reducing the number of interactions with the LLM.
- Introduced a new utility function to streamline the extraction of tool call details, improving compatibility with various tool formats.
- Removed the parameter, simplifying the initialization of the .
- Enhanced logging and message handling to provide clearer insights during tool execution.
- This refactor improves the overall performance and usability of the agent execution flow.
- Introduced a new utility function to extract tool call ID, name, and arguments from different provider formats (OpenAI, Gemini, Anthropic, and dictionary).
- This enhancement improves the flexibility and compatibility of tool calls across multiple LLM providers, ensuring consistent handling of tool call information.
- The function returns a tuple containing the call ID, function name, and function arguments, or None if the format is unrecognized.
adds emission sequencing, parent-child event hierarchy with scope management, and integrates both into the event bus. introduces flush() for deterministic handling, resets emission counters for test isolation, and adds chain tracking via previous_event_id/triggered_by_event_id plus context variables populated during emit and listener execution. includes tracing listener typing/sorting improvements, safer tool event pairing with try/finally, additional stack checks and cache-hit formatting, context isolation fixes, cassette regen/decoding, and test updates to handle vcr race conditions and flaky behavior.
* wip restrcuturing agent executor and liteagent
* fix: handle None task in AgentExecutor to prevent errors
Added a check to ensure that if the task is None, the method returns early without attempting to access task properties. This change improves the robustness of the AgentExecutor by preventing potential errors when the task is not set.
* refactor: streamline AgentExecutor initialization by removing redundant parameters
Updated the Agent class to simplify the initialization of the AgentExecutor by removing unnecessary task and crew parameters in standalone mode. This change enhances code clarity and maintains backward compatibility by ensuring that the executor is correctly configured without redundant assignments.
* ensure executors work inside a flow due to flow in flow async structure
* refactor: enhance agent kickoff preparation by separating common logic
Updated the Agent class to introduce a new private method that consolidates the common setup logic for both synchronous and asynchronous kickoff executions. This change improves code clarity and maintainability by reducing redundancy in the kickoff process, while ensuring that the agent can still execute effectively within both standalone and flow contexts.
* linting and tests
* fix test
* refactor: improve test for Agent kickoff parameters
Updated the test for the Agent class to ensure that the kickoff method correctly preserves parameters. The test now verifies the configuration of the agent after kickoff, enhancing clarity and maintainability. Additionally, the test for asynchronous kickoff within a flow context has been updated to reflect the Agent class instead of LiteAgent.
* refactor: update test task guardrail process output for improved validation
Refactored the test for task guardrail process output to enhance the validation of the output against the OpenAPI schema. The changes include a more structured request body and updated response handling to ensure compliance with the guardrail requirements. This update aims to improve the clarity and reliability of the test cases, ensuring that task outputs are correctly validated and feedback is appropriately provided.
* test fix cassette
* test fix cassette
* working
* working cassette
* refactor: streamline agent execution and enhance flow compatibility
Refactored the Agent class to simplify the execution method by removing the event loop check and clarifying the behavior when called from synchronous and asynchronous contexts. The changes ensure that the method operates seamlessly within flow methods, improving clarity in the documentation. Additionally, updated the AgentExecutor to set the response model to None, enhancing flexibility. New test cassettes were added to validate the functionality of agents within flow contexts, ensuring robust testing for both synchronous and asynchronous operations.
* fixed cassette
* Enhance Flow Execution Logic
- Introduced conditional execution for start methods in the Flow class.
- Unconditional start methods are prioritized during kickoff, while conditional starts are executed only if no unconditional starts are present.
- Improved handling of cyclic flows by allowing re-execution of conditional start methods triggered by routers.
- Added checks to continue execution chains for completed conditional starts.
These changes improve the flexibility and control of flow execution, ensuring that the correct methods are triggered based on the defined conditions.
* Enhance Agent and Flow Execution Logic
- Updated the Agent class to automatically detect the event loop and return a coroutine when called within a Flow, simplifying async handling for users.
- Modified Flow class to execute listeners sequentially, preventing race conditions on shared state during listener execution.
- Improved handling of coroutine results from synchronous methods, ensuring proper execution flow and state management.
These changes enhance the overall execution logic and user experience when working with agents and flows in CrewAI.
* Enhance Flow Listener Logic and Agent Imports
- Updated the Flow class to track fired OR listeners, ensuring that multi-source OR listeners only trigger once during execution. This prevents redundant executions and improves flow efficiency.
- Cleared fired OR listeners during cyclic flow resets to allow re-execution in new cycles.
- Modified the Agent class imports to include Coroutine from collections.abc, enhancing type handling for asynchronous operations.
These changes improve the control and performance of flow execution in CrewAI, ensuring more predictable behavior in complex scenarios.
* adjusted test due to new cassette
* ensure we dont finalize batch on just a liteagent finishing
* feat: cancellable parallelized flow methods
* feat: allow methods to be cancelled & run parallelized
* feat: ensure state is thread safe through proxy
* fix: check for proxy state
* fix: mimic BaseModel method
* chore: update final attr checks; test
* better description
* fix test
* chore: update test assumptions
* extra
---------
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
- Added a new function to replace invalid characters in function names with underscores, ensuring compatibility with LLM providers.
- Updated the function to sanitize tool names before validation.
- Modified the function to use sanitized names for tool registration.
These changes improve the robustness of tool name handling, preventing potential issues with invalid characters in function names.
- Updated the Flow class to track fired OR listeners, ensuring that multi-source OR listeners only trigger once during execution. This prevents redundant executions and improves flow efficiency.
- Cleared fired OR listeners during cyclic flow resets to allow re-execution in new cycles.
- Modified the Agent class imports to include Coroutine from collections.abc, enhancing type handling for asynchronous operations.
These changes improve the control and performance of flow execution in CrewAI, ensuring more predictable behavior in complex scenarios.
- Updated the Agent class to automatically detect the event loop and return a coroutine when called within a Flow, simplifying async handling for users.
- Modified Flow class to execute listeners sequentially, preventing race conditions on shared state during listener execution.
- Improved handling of coroutine results from synchronous methods, ensuring proper execution flow and state management.
These changes enhance the overall execution logic and user experience when working with agents and flows in CrewAI.
- Introduced conditional execution for start methods in the Flow class.
- Unconditional start methods are prioritized during kickoff, while conditional starts are executed only if no unconditional starts are present.
- Improved handling of cyclic flows by allowing re-execution of conditional start methods triggered by routers.
- Added checks to continue execution chains for completed conditional starts.
These changes improve the flexibility and control of flow execution, ensuring that the correct methods are triggered based on the defined conditions.
* doc changes for better deplyment guidelines and checklist
* chore: remove .claude folder from version control
The .claude folder contains local Claude Code skills and configuration
that should not be tracked in the repository. Already in .gitignore.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Better project structure for flows
* docs.json updated structure
* Ko and Pt traslations for deploying guidelines to AMP
* fix broken links
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
Refactored the Agent class to simplify the execution method by removing the event loop check and clarifying the behavior when called from synchronous and asynchronous contexts. The changes ensure that the method operates seamlessly within flow methods, improving clarity in the documentation. Additionally, updated the AgentExecutor to set the response model to None, enhancing flexibility. New test cassettes were added to validate the functionality of agents within flow contexts, ensuring robust testing for both synchronous and asynchronous operations.
Refactored the test for task guardrail process output to enhance the validation of the output against the OpenAPI schema. The changes include a more structured request body and updated response handling to ensure compliance with the guardrail requirements. This update aims to improve the clarity and reliability of the test cases, ensuring that task outputs are correctly validated and feedback is appropriately provided.
Updated the test for the Agent class to ensure that the kickoff method correctly preserves parameters. The test now verifies the configuration of the agent after kickoff, enhancing clarity and maintainability. Additionally, the test for asynchronous kickoff within a flow context has been updated to reflect the Agent class instead of LiteAgent.
Updated the Agent class to introduce a new private method that consolidates the common setup logic for both synchronous and asynchronous kickoff executions. This change improves code clarity and maintainability by reducing redundancy in the kickoff process, while ensuring that the agent can still execute effectively within both standalone and flow contexts.
