* feat: Introduce production-ready Flows and Crews architecture with new runner and updated documentation across multiple languages.
* ko and pt-br for tracing missing links
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Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* Refactor EventListener and TraceCollectionListener for improved event handling
- Removed unused threading and method branches from EventListener to simplify the code.
- Updated event handling methods in EventListener to use new formatter methods for better clarity and consistency.
- Refactored TraceCollectionListener to eliminate unnecessary parameters in formatter calls, enhancing readability.
- Simplified ConsoleFormatter by removing outdated tree management methods and focusing on panel-based output for status updates.
- Enhanced ToolUsage to track run attempts for better tool usage metrics.
* clearer for knowledge retrieval and dropped some reduancies
* Refactor EventListener and ConsoleFormatter for improved clarity and consistency
- Removed the MCPToolExecutionCompletedEvent handler from EventListener to streamline event processing.
- Updated ConsoleFormatter to enhance output formatting by adding line breaks for better readability in status content.
- Renamed status messages for MCP Tool execution to provide clearer context during tool operations.
* fix run attempt incrementation
* task name consistency
* memory events consistency
* ensure hitl works
* linting
* WIP gh pr refactor: update agent executor handling and introduce flow-based executor
* wip
* refactor: clean up comments and improve code clarity in agent executor flow
- Removed outdated comments and unnecessary explanations in and classes to enhance code readability.
- Simplified parameter updates in the agent executor to avoid confusion regarding executor recreation.
- Improved clarity in the method to ensure proper handling of non-final answers without raising errors.
* bumping pytest-randomly numpy
* also bump versions of anthropic sdk
* ensure flow logs are not passed if its on executor
* revert anthropic bump
* fix
* refactor: update dependency markers in uv.lock for platform compatibility
- Enhanced dependency markers for , , , and others to ensure compatibility across different platforms (Linux, Darwin, and architecture-specific conditions).
- Removed unnecessary event emission in the class during kickoff.
- Cleaned up commented-out code in the class for better readability and maintainability.
* drop dupllicate
* test: enhance agent executor creation and stop word assertions
- Added calls to create_agent_executor in multiple test cases to ensure proper agent execution setup.
- Updated assertions for stop words in the agent tests to remove unnecessary checks and improve clarity.
- Ensured consistency in task handling by invoking create_agent_executor with the appropriate task parameter.
* refactor: reorganize agent executor imports and introduce CrewAgentExecutorFlow
- Removed the old import of CrewAgentExecutorFlow and replaced it with the new import from the experimental module.
- Updated relevant references in the codebase to ensure compatibility with the new structure.
- Enhanced the organization of imports in core.py and base_agent.py for better clarity and maintainability.
* updating name
* dropped usage of printer here for rich console and dropped non-added value logging
* address i18n
* Enhance concurrency control in CrewAgentExecutorFlow by introducing a threading lock to prevent concurrent executions. This change ensures that the executor instance cannot be invoked while already running, improving stability and reliability during flow execution.
* string literal returns
* string literal returns
* Enhance CrewAgentExecutor initialization by allowing optional i18n parameter for improved internationalization support. This change ensures that the executor can utilize a provided i18n instance or fallback to the default, enhancing flexibility in multilingual contexts.
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Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* feat: introduce human feedback events and decorator for flow methods
- Added HumanFeedbackRequestedEvent and HumanFeedbackReceivedEvent classes to handle human feedback interactions within flows.
- Implemented the @human_feedback decorator to facilitate human-in-the-loop workflows, allowing for feedback collection and routing based on responses.
- Enhanced Flow class to store human feedback history and manage feedback outcomes.
- Updated flow wrappers to preserve attributes from methods decorated with @human_feedback.
- Added integration and unit tests for the new human feedback functionality, ensuring proper validation and routing behavior.
* adding deployment docs
* New docs
* fix printer
* wrong change
* Adding Async Support
feat: enhance human feedback support in flows
- Updated the @human_feedback decorator to use 'message' parameter instead of 'request' for clarity.
- Introduced new FlowPausedEvent and MethodExecutionPausedEvent to handle flow and method pauses during human feedback.
- Added ConsoleProvider for synchronous feedback collection and integrated async feedback capabilities.
- Implemented SQLite persistence for managing pending feedback context.
- Expanded documentation to include examples of async human feedback usage and best practices.
* linter
* fix
* migrating off printer
* updating docs
* new tests
* doc update
* fix: use CREWAI_PLUS_URL env var in precedence over PlusAPI configured value
* feat: bypass TLS certificate verification when calling platform
* test: fix test
- 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>
