- Add GPT-5, GPT-5 mini, GPT-5 nano, GPT-4.1, and o3-mini for OpenAI
- Add Claude 3.7 Sonnet, Claude 4 Sonnet, and Claude 4.1 Opus for Anthropic
- Add Gemini 2.5 Pro, 2.5 Flash, and 2.5 Flash-Lite for Google
- Add comprehensive tests for updated model constants
Fixes#3380
Co-Authored-By: João <joao@crewai.com>
Add ChromaDB client implementation with async support
- Implement core collection operations (create, get_or_create, delete)
- Add search functionality with cosine similarity scoring
- Include both sync and async method variants
- Add type safety with NamedTuples and TypeGuards
- Extract utility functions to separate modules
- Default to cosine distance metric for text similarity
- Add comprehensive test coverage
TODO:
- l2, ip score calculations are not settled on
fix: resolve flaky tests and race conditions in test suite
- Fix telemetry/event tests by patching class methods instead of instances
- Use unique temp files/directories to prevent CI race conditions
- Reset singleton state between tests
- Mock embedchain.Client.setup() to prevent JSON corruption
- Rename test files to test_*.py convention
- Move agent tests to tests/agents directory
- Fix repeated tool usage detection
- Remove database-dependent tools causing initialization errors
* fix: flow listener resumability for HITL and cyclic flows
- Add resumption context flag to distinguish HITL resumption from cyclic execution
- Skip method re-execution only during HITL resumption, not for cyclic flows
- Ensure cyclic flows like test_cyclic_flow continue to work correctly
* fix: prevent duplicate execution of conditional start methods in flows
* fix: resolve type error in flow.py line 1040 assignment
* feat: adding additional parameter to Flow' start methods
When the `crewai_trigger_payload` parameter exists in the input Flow, we will add it in the start Flow methods as parameter
* fix: support crewai_trigger_payload in async Flow start methods
* feat: enhance BaseTool and CrewStructuredTool with usage tracking
This commit introduces a mechanism to track the usage count of tools within the CrewAI framework. The `BaseTool` class now includes a `_increment_usage_count` method that updates the current usage count, which is also reflected in the associated `CrewStructuredTool`. Additionally, a new test has been added to ensure that the maximum usage count is respected when invoking tools, enhancing the overall reliability and functionality of the tool system.
* feat: add max usage count feature to tools documentation
This commit introduces a new section in the tools overview documentation that explains the maximum usage count feature for tools within the CrewAI framework. Users can now set a limit on how many times a tool can be used, enhancing control over tool usage. An example of implementing the `FileReadTool` with a maximum usage count is also provided, improving the clarity and usability of the documentation.
* undo field string
* Refactor tracing logic to consolidate conditions for enabling tracing in Crew class and update TraceBatchManager to handle ephemeral batches more effectively. Added tests for trace listener handling of both ephemeral and authenticated user batches.
* drop print
* linted
* refactor: streamline ephemeral handling in TraceBatchManager
This commit removes the ephemeral parameter from the _send_events_to_backend and _finalize_backend_batch methods, replacing it with internal logic that checks the current batch's ephemeral status. This change simplifies the method signatures and enhances the clarity of the code by directly using the is_current_batch_ephemeral attribute for conditional logic.
* Add telemetry mocking for pytest tests
- Mock telemetry by default for all tests except telemetry-specific tests
- Add @pytest.mark.telemetry marker for real telemetry tests
- Reduce test overhead and improve isolation
* Fix telemetry test isolation
- Properly isolate telemetry tests from mocking environment
- Preserve API keys and other necessary environment variables
- Ensure telemetry tests can run with real telemetry instances
* for ephemeral traces
* default false
* simpler and consolidated
* keep raising exception but catch it and continue if its for trace batches
* cleanup
* more cleanup
* not using logger
* refactor: rename TEMP_TRACING_RESOURCE to EPHEMERAL_TRACING_RESOURCE for clarity and consistency in PlusAPI; update related method calls accordingly
* default true
* drop print
* feat: add tracing support to Crew and Flow classes
- Introduced a new `tracing` optional field in both the `Crew` and `Flow` classes to enable tracing functionality.
- Updated the initialization logic to conditionally set up the `TraceCollectionListener` based on the `tracing` flag or the `CREWAI_TRACING_ENABLED` environment variable.
- Removed the obsolete `interfaces.py` file related to tracing.
- Enhanced the `TraceCollectionListener` to accept a `tracing` parameter and adjusted its internal logic accordingly.
- Added tests to verify the correct setup of the trace listener when tracing is enabled.
This change improves the observability of the crew execution process and allows for better debugging and performance monitoring.
* fix flow name
* refactor: replace _send_batch method with finalize_batch calls in TraceCollectionListener
- Updated the TraceCollectionListener to use the batch_manager's finalize_batch method instead of the deprecated _send_batch method for handling trace events.
- This change improves the clarity of the code and ensures that batch finalization is consistently managed through the batch manager.
- Removed the obsolete _send_batch method to streamline the listener's functionality.
* removed comments
* refactor: enhance tracing functionality by introducing utility for tracing checks
- Added a new utility function `is_tracing_enabled` to streamline the logic for checking if tracing is enabled based on the `CREWAI_TRACING_ENABLED` environment variable.
- Updated the `Crew` and `Flow` classes to utilize this utility for improved readability and maintainability.
- Refactored the `TraceCollectionListener` to simplify tracing checks and ensure consistent behavior across components.
- Introduced a new module for tracing utilities to encapsulate related functions, enhancing code organization.
* refactor: remove unused imports from crew and flow modules
- Removed unnecessary `os` imports from both `crew.py` and `flow.py` files to enhance code cleanliness and maintainability.
* initial setup
* feat: enhance CrewKickoffCompletedEvent to include total token usage
- Added total_tokens attribute to CrewKickoffCompletedEvent for better tracking of token usage during crew execution.
- Updated Crew class to emit total token usage upon kickoff completion.
- Removed obsolete context handler and execution context tracker files to streamline event handling.
* cleanup
* remove print statements for loggers
* feat: add CrewAI base URL and improve logging in tracing
- Introduced `CREWAI_BASE_URL` constant for easy access to the CrewAI application URL.
- Replaced print statements with logging in the `TraceSender` class for better error tracking.
- Enhanced the `TraceBatchManager` to provide default values for flow names and removed unnecessary comments.
- Implemented singleton pattern in `TraceCollectionListener` to ensure a single instance is used.
- Added a new test case to verify that the trace listener correctly collects events during crew execution.
* clear
* fix: update datetime serialization in tracing interfaces
- Removed the 'Z' suffix from datetime serialization in TraceSender and TraceEvent to ensure consistent ISO format.
- Added new test cases to validate the functionality of the TraceBatchManager and event collection during crew execution.
- Introduced fixtures to clear event bus listeners before each test to maintain isolation.
* test: enhance tracing tests with mock authentication token
- Added a mock authentication token to the tracing tests to ensure proper setup and event collection.
- Updated test methods to include the mock token, improving isolation and reliability of tests related to the TraceListener and BatchManager.
- Ensured that the tests validate the correct behavior of event collection during crew execution.
* test: refactor tracing tests to improve mock usage
- Moved the mock authentication token patching inside the test class to enhance readability and maintainability.
- Updated test methods to remove unnecessary mock parameters, streamlining the test signatures.
- Ensured that the tests continue to validate the correct behavior of event collection during crew execution while improving isolation.
* test: refactor tracing tests for improved mock usage and consistency
- Moved mock authentication token patching into individual test methods for better clarity and maintainability.
- Corrected the backstory string in the `Agent` instantiation to fix a typo.
- Ensured that all tests validate the correct behavior of event collection during crew execution while enhancing isolation and readability.
* test: add new tracing test for disabled trace listener
- Introduced a new test case to verify that the trace listener does not make HTTP calls when tracing is disabled via environment variables.
- Enhanced existing tests by mocking PlusAPI HTTP calls to avoid authentication and network requests, improving test isolation and reliability.
- Updated the test setup to ensure proper initialization of the trace listener and its components during crew execution.
* refactor: update LLM class to utilize new completion function and improve cost calculation
- Replaced direct calls to `litellm.completion` with a new import for better clarity and maintainability.
- Introduced a new optional attribute `completion_cost` in the LLM class to track the cost of completions.
- Updated the handling of completion responses to ensure accurate cost calculations and improved error handling.
- Removed outdated test cassettes for gemini models to streamline test suite and avoid redundancy.
- Enhanced existing tests to reflect changes in the LLM class and ensure proper functionality.
* test: enhance tracing tests with additional request and response scenarios
- Added new test cases to validate the behavior of the trace listener and batch manager when handling 404 responses from the tracing API.
- Updated existing test cassettes to include detailed request and response structures, ensuring comprehensive coverage of edge cases.
- Improved mock setup to avoid unnecessary network calls and enhance test reliability.
- Ensured that the tests validate the correct behavior of event collection during crew execution, particularly in scenarios where the tracing service is unavailable.
* feat: enable conditional tracing based on environment variable
- Added support for enabling or disabling the trace listener based on the `CREWAI_TRACING_ENABLED` environment variable.
- Updated the `Crew` class to conditionally set up the trace listener only when tracing is enabled, improving performance and resource management.
- Refactored test cases to ensure proper cleanup of event bus listeners before and after each test, enhancing test reliability and isolation.
- Improved mock setup in tracing tests to validate the behavior of the trace listener when tracing is disabled.
* fix: downgrade litellm version from 1.74.9 to 1.74.3
- Updated the `pyproject.toml` and `uv.lock` files to reflect the change in the `litellm` dependency version.
- This downgrade addresses compatibility issues and ensures stability in the project environment.
* refactor: improve tracing test setup by moving mock authentication token patching
- Removed the module-level patch for the authentication token and implemented a fixture to mock the token for all tests in the class, enhancing test isolation and readability.
- Updated the event bus clearing logic to ensure original handlers are restored after tests, improving reliability of the test environment.
- This refactor streamlines the test setup and ensures consistent behavior across tracing tests.
* test: enhance tracing test setup with comprehensive mock authentication
- Expanded the mock authentication token patching to cover all instances where `get_auth_token` is used across different modules, ensuring consistent behavior in tests.
- Introduced a new fixture to reset tracing singleton instances between tests, improving test isolation and reliability.
- This update enhances the overall robustness of the tracing tests by ensuring that all necessary components are properly mocked and reset, leading to more reliable test outcomes.
* just drop the test for now
* refactor: comment out completion-related code in LLM and LLM event classes
- Commented out the `completion` and `completion_cost` imports and their usage in the `LLM` class to prevent potential issues during execution.
- Updated the `LLMCallCompletedEvent` class to comment out the `response_cost` attribute, ensuring consistency with the changes in the LLM class.
- This refactor aims to streamline the code and prepare for future updates without affecting current functionality.
* refactor: update LLM response handling in LiteAgent
- Commented out the `response_cost` attribute in the LLM response handling to align with recent refactoring in the LLM class.
- This change aims to maintain consistency in the codebase and prepare for future updates without affecting current functionality.
* refactor: remove commented-out response cost attributes in LLM and LiteAgent
- Commented out the `response_cost` attribute in both the `LiteAgent` and `LLM` classes to maintain consistency with recent refactoring efforts.
- This change aligns with previous updates aimed at streamlining the codebase and preparing for future enhancements without impacting current functionality.
* bring back litellm upgrade version
* Dropping User Memory
* Dropping checks for user memory
* changed memory.mdx documentation removed user memory.
* Flaky Test Case Maybe
* Drop memory_config
* Fixed test cases
* Fixed some test cases
* Changed docs
* Changed BR docs
* Docs fixing
* Fix minor doc
* Fix minor doc
* Fix minor doc
* Added fallback mechanism in Mem0
* feat: support oauth2 config for authentication
* refactor: improve OAuth2 settings management
The CLI now supports seamless integration with other authentication providers, since the client_id, issue, domain are now manage by the user
* feat: support okta Device Authorization flow
* chore: resolve linter issues
* test: fix tests
* test: adding tests for auth providers
* test: fix broken test
* refator: adding WorkOS paramenters as default settings auth
* chore: improve oauth2 attributes description
* refactor: simplify WorkOS getting values
* fix: ensure Auth0 parameters is set when overrinding default auth provider
* chore: remove TODO Auth0 no longer provides default values
---------
Co-authored-by: Heitor Carvalho <heitor.scz@gmail.com>
* fix: support to add memories to Mem0 with agent_id
* feat: removing memory_type checkings from Mem0Storage
* feat: ensure agent_id is always present while saving memory into Mem0
* fix: use OR operator when querying Mem0 memories with both user_id and agent_id
* Fix issue #2421: Handle missing google.genai dependency gracefully
Co-Authored-By: Joe Moura <joao@crewai.com>
* Fix import sorting in test file
Co-Authored-By: Joe Moura <joao@crewai.com>
* Fix import sorting with ruff
Co-Authored-By: Joe Moura <joao@crewai.com>
* Removed unwatned test case
* Added dynamic catching for all the embedder function
* Dropped the comment
* Added test case
* Fixed Linting Issue
* Flaky test case in 3.13
* Test Case fixed
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Joe Moura <joao@crewai.com>
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
- Added an optional `name` attribute to the Flow class for better identification.
- Updated event emissions to utilize the new `name` attribute, ensuring accurate flow naming in events.
- Added tests to verify the correct flow name is set and emitted during flow execution.
* Changed v1.1 -> v2
* Fixed Test Cases:
* Fixed linting issues
* Changed docs
* Refractored the storage
* Fixed test cases
* Fixing run-time checks
* Fixed Test Case
* Updated docs and added test case for custom categories
* Add the TODO back
* Minor Changes
* Added output_format in search
* Minor changes
* Added output_format and version in both search and save
* Small change
* Minor bugs
* Fixed test cases
* Changed docs
---------
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
* feat: add exchanged messages in LLMCallCompletedEvent
* feat: add GoalAlignment metric for Agent evaluation
* feat: add SemanticQuality metric for Agent evaluation
* feat: add Tool Metrics for Agent evaluation
* feat: add Reasoning Metrics for Agent evaluation, still in progress
* feat: add AgentEvaluator class
This class will evaluate Agent' results and report to user
* fix: do not evaluate Agent by default
This is a experimental feature we still need refine it further
* test: add Agent eval tests
* fix: render all feedback per iteration
* style: resolve linter issues
* style: fix mypy issues
* fix: allow messages be empty on LLMCallCompletedEvent
* feat: add Experiment evaluation framework with baseline comparison
* fix: reset evaluator for each experiement iteraction
* fix: fix track of new test cases
* chore: split Experimental evaluation classes
* refactor: remove unused method
* refactor: isolate Console print in a dedicated class
* fix: make crew required to run an experiment
* fix: use time-aware to define experiment result
* test: add tests for Evaluator Experiment
* style: fix linter issues
* fix: encode string before hashing
* style: resolve linter issues
* feat: add experimental folder for beta features (#3141)
* test: move tests to experimental folder
* Fix#3149: Add missing create_directory parameter to Task class
- Add create_directory field with default value True for backward compatibility
- Update _save_file method to respect create_directory parameter
- Add comprehensive tests covering all scenarios
- Maintain existing behavior when create_directory=True (default)
The create_directory parameter was documented but missing from implementation.
Users can now control directory creation behavior:
- create_directory=True (default): Creates directories if they don't exist
- create_directory=False: Raises RuntimeError if directory doesn't exist
Fixes issue where users got TypeError when trying to use the documented
create_directory parameter.
Co-Authored-By: Jo\u00E3o <joao@crewai.com>
* Fix lint: Remove unused import os from test_create_directory_true
- Removes F401 lint error: 'os' imported but unused
- All lint checks should now pass
Co-Authored-By: Jo\u00E3o <joao@crewai.com>
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Jo\u00E3o <joao@crewai.com>
* Compaing BaseLLM class instead of LLM
* Fixed test cases
* Fixed Linting Issues
* removed last line
---------
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
* Added add_sources()
* Fixed the agent knowledge querying
* Added test cases
* Fixed linting issue
* Fixed logic
* Seems like a falky test case
* Minor changes
* Added knowledge attriute to the crew documentation
* Flaky test
* fixed spaces
* Flaky Test Case
* Seems like a flaky test case
---------
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
* feat: add exchanged messages in LLMCallCompletedEvent
* feat: add GoalAlignment metric for Agent evaluation
* feat: add SemanticQuality metric for Agent evaluation
* feat: add Tool Metrics for Agent evaluation
* feat: add Reasoning Metrics for Agent evaluation, still in progress
* feat: add AgentEvaluator class
This class will evaluate Agent' results and report to user
* fix: do not evaluate Agent by default
This is a experimental feature we still need refine it further
* test: add Agent eval tests
* fix: render all feedback per iteration
* style: resolve linter issues
* style: fix mypy issues
* fix: allow messages be empty on LLMCallCompletedEvent
Add crew context tracking using OpenTelemetry baggage for thread-safe propagation. Context is set during kickoff and cleaned up in finally block. Added thread safety tests with mocked agent execution.
* fix: clean up whitespace and update dependencies
* Removed unnecessary whitespace in multiple files for consistency.
* Updated `crewai-tools` dependency version to `0.49.0` in `pyproject.toml` and related template files.
* Bumped CrewAI version to `0.140.0` in `__init__.py` for alignment with updated dependencies.
* chore: update pyproject.toml to exclude documentation from build targets
* Added exclusions for the `docs` directory in both wheel and sdist build targets to streamline the build process and reduce unnecessary file inclusion.
* chore: update uv.lock for dependency resolution and Python version compatibility
* Incremented revision to 2.
* Updated resolution markers to include support for Python 3.13 and adjusted platform checks for better compatibility.
* Added new wheel URLs for zstandard version 0.23.0 to ensure availability across various platforms.
* chore: pin json-repair dependency version in pyproject.toml and uv.lock
* Updated json-repair dependency from a range to a specific version (0.25.2) for consistency and to avoid potential compatibility issues.
* Adjusted related entries in uv.lock to reflect the pinned version, ensuring alignment across project files.
* chore: pin agentops dependency version in pyproject.toml and uv.lock
* Updated agentops dependency from a range to a specific version (0.3.18) for consistency and to avoid potential compatibility issues.
* Adjusted related entries in uv.lock to reflect the pinned version, ensuring alignment across project files.
* test: enhance cache call assertions in crew tests
* Improved the test for cache hitting between agents by filtering mock calls to ensure they include the expected 'tool' and 'input' keywords.
* Added assertions to verify the number of cache calls and their expected arguments, enhancing the reliability of the test.
* Cleaned up whitespace and improved readability in various test cases for better maintainability.
* feat: add capability to track LLM calls by task and agent
This makes it possible to filter or scope LLM events by specific agents or tasks, which can be very useful for debugging or analytics in real-time application
* feat: add docs about LLM tracking by Agents and Tasks
* fix incompatible BaseLLM.call method signature
* feat: support to filter LLM Events from Lite Agent
