- Added functionality to check if a tool has reached its maximum usage count before execution in both crew_agent_executor.py and agent_executor.py.
- Enhanced error handling to return a message when a tool's usage limit is reached.
- Updated tool usage logic in tool_usage.py to increment usage counts and print current usage status.
- Introduced tests to validate max usage count behavior for native tool calling, ensuring proper enforcement and tracking.
This update improves tool management by preventing overuse and providing clear feedback when limits are reached.
- Implemented immediate return for tools with result_as_answer=True in crew_agent_executor.py.
- Added delegation tracking functionality in agent_utils.py to increment delegations when specific tools are used.
- Updated tool usage logic to handle caching more effectively in tool_usage.py.
- Enhanced test cases to validate new delegation features and tool caching behavior.
This update improves the efficiency of tool execution and enhances the delegation capabilities of agents.
- Implemented immediate return for tools with result_as_answer=True in crew_agent_executor.py.
- Added delegation tracking functionality in agent_utils.py to increment delegations when specific tools are used.
- Updated tool usage logic to handle caching more effectively in tool_usage.py.
- Enhanced test cases to validate new delegation features and tool caching behavior.
This update improves the efficiency of tool execution and enhances the delegation capabilities of agents.
- 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.
