- Introduced BaseConverterAdapter as an abstract class for structured output handling.
- Implemented LangGraphConverterAdapter and OpenAIConverterAdapter to manage structured output in their respective agents.
- Updated BaseAgentAdapter to accept an agent configuration dictionary during initialization.
- Enhanced LangGraphAgentAdapter to utilize the new converter and improved tool handling.
- Added methods for configuring structured output and enhancing system prompts in converter adapters.
- Refactored OpenAIAgentAdapter to accept agent configuration as an argument.
- Introduced a method to build a system prompt for the OpenAI agent, improving task execution context.
- Updated initialization to utilize role, goal, and backstory from kwargs, enhancing flexibility in agent setup.
- Improved tool handling and integration within the adapter.
- Introduced BaseToolAdapter as an abstract base class for tool adapters in CrewAI.
- Updated LangGraphToolAdapter and OpenAIAgentToolAdapter to inherit from BaseToolAdapter, enhancing their structure and functionality.
- Improved tool configuration methods to support better integration with various frameworks.
- Added type hints and documentation for clarity and maintainability.
- Added LangGraphConverterAdapter for managing structured output in LangGraph agents.
- Enhanced LangGraphAgentAdapter to utilize the new converter for system prompt and task execution.
- Updated LangGraphToolAdapter to use StructuredTool for better compatibility.
- Introduced OpenAIConverterAdapter for structured output management in OpenAI agents.
- Improved task execution flow in OpenAIAgentAdapter to incorporate structured output configuration and post-processing.
This commit resolves an issue in the crew template generator where the test()
function incorrectly uses 'openai_model_name' as a parameter name when calling
Crew.test(), while the actual implementation expects 'eval_llm'.
The mismatch causes a TypeError when users run the generated test command:
"Crew.test() got an unexpected keyword argument 'openai_model_name'"
This change ensures that templates generated with 'crewai create crew' will
produce code that aligns with the framework's API.
- Added type hints for better clarity and type checking in LangGraphToolAdapter.
- Updated conversion instructions to ensure compatibility with optional LLM checks.
- Introduced LangGraphAgentAdapter to facilitate interaction with LangGraph agents.
- Implemented methods for task execution, context handling, and tool configuration.
- Created LangGraphToolAdapter to convert CrewAI tools into LangGraph-compatible format.
- Enhanced error handling and logging for task execution and streaming processes.
- Introduced BaseAgentAdapter as an abstract base class for agent adapters in CrewAI.
- Defined common interface and methods for configuring tools and structured output.
- Updated OpenAIAgentAdapter to inherit from BaseAgentAdapter, enhancing its structure and functionality.
* KISS: Refactor LiteAgent integration in flows to use Agents instead. Update documentation and examples to reflect changes in class usage, including async support and structured output handling. Enhance tests for Agent functionality and ensure compatibility with new features.
* lint fix
* dropped for clarity
* Fix#2536: Add CREWAI_DISABLE_TELEMETRY environment variable
Co-Authored-By: Joe Moura <joao@crewai.com>
* Fix import order in telemetry test file
Co-Authored-By: Joe Moura <joao@crewai.com>
* Fix telemetry implementation based on PR feedback
Co-Authored-By: Joe Moura <joao@crewai.com>
* Revert telemetry implementation changes while keeping CREWAI_DISABLE_TELEMETRY functionality
Co-Authored-By: Joe Moura <joao@crewai.com>
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Joe Moura <joao@crewai.com>
* fix: surfacing properly supported types by Mem0Storage
* feat: prepare Mem0Storage to accept config paramenter
We're planning to remove `memory_config` soon. This commit kindly prepare this storage to accept the config provided directly
* feat: add external memory
* fix: cleanup Mem0 warning while adding messages to the memory
* feat: support set the current crew in memory
This can be useful when a memory is initialized before the crew, but the crew might still be a very relevant attribute
* fix: allow to reset only an external_memory from crew
* test: add external memory test
* test: ensure the config takes precedence over memory_config when setting mem0
* fix: support to provide a custom storage to External Memory
* docs: add docs about external memory
* chore: add warning messages about the deprecation of UserMemory
* fix: fix typing check
---------
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
- Created OpenAIAgentToolAdapter class to encapsulate tool configuration and conversion for OpenAI Assistant.
- Removed tool configuration logic from OpenAIAgentAdapter and integrated it into the new adapter.
- Enhanced the tool conversion process to ensure compatibility with OpenAI's requirements.
- Introduced OpenAIAgentAdapter class to facilitate interaction with OpenAI Assistants.
- Implemented methods for task execution, tool configuration, and response processing.
- Added support for converting CrewAI tools to OpenAI format and handling delegation tools.
* WIP
* WIP
* wip
* wip
* WIP
* More WIP
* Its working but needs a massive clean up
* output type works now
* Usage metrics fixed
* more testing
* WIP
* cleaning up
* Update logger
* 99% done. Need to make docs match new example
* cleanup
* drop hard coded examples
* docs
* Clean up
* Fix errors
* Trying to fix CI issues
* more type checker fixes
* More type checking fixes
* Update LiteAgent documentation for clarity and consistency; replace WebsiteSearchTool with SerperDevTool, and improve formatting in examples.
* fix fingerprinting issues
* fix type-checker
* Fix type-checker issue by adding type ignore comment for cache read in ToolUsage class
* Add optional agent parameter to CrewAgentParser and enhance action handling logic
* Remove unused parameters from ToolUsage instantiation in tests and clean up debug print statement in CrewAgentParser.
* Remove deprecated test files and examples for LiteAgent; add comprehensive tests for LiteAgent functionality, including tool usage and structured output handling.
* Remove unused variable 'result' from ToolUsage class to clean up code.
* Add initialization for 'result' variable in ToolUsage class to resolve type-checker warnings
* Refactor agent_utils.py by removing unused event imports and adding missing commas in function definitions. Update test_events.py to reflect changes in expected event counts and adjust assertions accordingly. Modify test_tools_emits_error_events.yaml to include new headers and update response content for consistency with recent API changes.
* Enhance tests in crew_test.py by verifying cache behavior in test_tools_with_custom_caching and ensuring proper agent initialization with added commas in test_crew_kickoff_for_each_works_with_manager_agent_copy.
* Update agent tests to reflect changes in expected call counts and improve response formatting in YAML cassette. Adjusted mock call count from 2 to 3 and refined interaction formats for clarity and consistency.
* Refactor agent tests to update model versions and improve response formatting in YAML cassettes. Changed model references from 'o1-preview' to 'o3-mini' and adjusted interaction formats for consistency. Enhanced error handling in context length tests and refined mock setups for better clarity.
* Update tool usage logging to ensure tool arguments are consistently formatted as strings. Adjust agent test cases to reflect changes in maximum iterations and expected outputs, enhancing clarity in assertions. Update YAML cassettes to align with new response formats and improve overall consistency across tests.
* Update YAML cassette for LLM tests to reflect changes in response structure and model version. Adjusted request and response headers, including updated content length and user agent. Enhanced token limits and request counts for improved testing accuracy.
* Update tool usage logging to store tool arguments as native types instead of strings, enhancing data integrity and usability.
* Refactor agent tests by removing outdated test cases and updating YAML cassettes to reflect changes in tool usage and response formats. Adjusted request and response headers, including user agent and content length, for improved accuracy in testing. Enhanced interaction formats for consistency across tests.
* Add Excalidraw diagram file for visual representation of input-output flow
Created a new Excalidraw file that includes a diagram illustrating the input box, database, and output box with connecting arrows. This visual aid enhances understanding of the data flow within the application.
* Remove redundant error handling for action and final answer in CrewAgentParser. Update tests to reflect this change by deleting the corresponding test case.
---------
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
Co-authored-by: Lorenze Jay <lorenzejaytech@gmail.com>
- Renamed `CrewEvent` to `BaseEvent` across the codebase for consistency
- Created a `CrewBaseEvent` that automatically identifies fingerprints for DRY
- Added a new `to_json()` method for serializing events
- Removed unused import of BaseTool from langchain_core.tools.
- Updated type hints in crew.py to streamline code and improve readability.
- Cleaned up whitespace for better code formatting.
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
Previously copying a Task always returned an instance of Task even when we are cloning a subclass, such ConditionalTask.
This commit ensures that the clone preserve the original class type
