- Updated `crewai-tools` dependency from `0.58.0` to `0.59.0` in `pyproject.toml` and `uv.lock`.
- Bumped the version of the CrewAI library from `0.150.0` to `0.152.0` in `__init__.py`.
- Updated dependency versions in CLI templates for crew, flow, and tool projects to reflect the new CrewAI version.
* 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.
- Change model format from "gemini/gemini-1.5-pro-latest" to "gemini-1.5-pro-latest"
in Vertex AI section examples
- Update both English and Portuguese documentation files
- Fixes incorrect provider prefix usage for Vertex AI models
- Ensures consistency with Vertex AI provider requirements
Files changed:
- docs/en/concepts/llms.mdx (line 272)
- docs/pt-BR/concepts/llms.mdx (line 270)
Co-authored-by: Tony Kipkemboi <iamtonykipkemboi@gmail.com>
- Updated `crewai-tools` dependency from `0.55.0` to `0.58.0` in `pyproject.toml` and `uv.lock`.
- Added new packages `anthropic`, `browserbase`, `playwright`, `pyee`, and `stagehand` with their respective versions in `uv.lock`.
- Bumped the version of the CrewAI library from `0.148.0` to `0.150.0` in `__init__.py`.
- Updated dependency versions in CLI templates for crew, flow, and tool projects to reflect the new CrewAI version.
* feat: add SerperScrapeWebsiteTool for extracting clean content from URLs
* feat: add required SERPER_API_KEY env var validation to SerperScrapeWebsiteTool
* 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>
* docs: add create_directory parameter
* docs: remove string guardrails to focus on function guardrails
* docs: remove get help from docs.json
* docs: update pt-BR docs.json changes
- Mark UserMemory and UserMemoryItem for removal in v0.156.0 or 2025-08-04
- Update all references with deprecation warnings
- Users should migrate to ExternalMemory
* docs: Add Tavily Search and Extractor tools documentation
* docs: Add Tavily Search and Extractor tools to the documentation
---------
Co-authored-by: Tony Kipkemboi <iamtonykipkemboi@gmail.com>
* Update CrewAI version to 0.148.0 in project templates and dependencies
* Update crewai-tools dependency to version 0.55.0 in pyproject.toml and uv.lock for improved functionality and performance.
* 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>
* Enhance EnterpriseActionTool with improved schema processing and error handling
- Added methods for sanitizing names and processing schema types, including support for nested models and nullable types.
- Improved error handling during schema creation and processing, with warnings for failures.
- Updated parameter handling in the `_run` method to clean up `kwargs` before sending requests.
- Introduced a detailed description generation for nested schema structures to enhance tool documentation.
* Add tests for EnterpriseActionTool schema conversion and validation
- Introduced a new test class for validating complex nested schemas in EnterpriseActionTool.
- Added tests for schema conversion, optional fields, enum validation, and required nested fields.
- Implemented execution tests to ensure the tool can handle complex validated input correctly.
- Verified model naming conventions and added tests for simpler schemas with basic enum validation.
- Enhanced overall test coverage for the EnterpriseActionTool functionality.
* Update chromadb dependency version in pyproject.toml and uv.lock
- Changed chromadb version from >=0.4.22 to ==0.5.23 in both pyproject.toml and uv.lock to ensure compatibility and stability.
* Update test workflow configuration
- Changed EMBEDCHAIN_DB_URI to point to a temporary test database location.
- Added CHROMA_PERSIST_PATH for specifying the path to the Chroma test database.
- Cleaned up the test run command in the workflow file.
* reverted
* 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
