Added a standard way to define and use MCP server tools inside a CrewBase class.
This was necessary because existing methods don't work in this context due to lifecycle mismatches.
MCP tools run asynchronously and start an event loop, which causes the instance state to become desynchronized from the crew.
This change ensures proper integration by aligning the MCP server lifecycle with the CrewBase instance.
* feat: support to define a guardrail task no-code
* feat: add auto-discovery for Guardrail code execution mode
* feat: handle malformed or invalid response from CodeInterpreterTool
* feat: allow to set unsafe_mode from Guardrail task
* feat: renaming GuardrailTask to TaskGuardrail
* feat: ensure guardrail is callable while initializing Task
* feat: remove Docker availability check from TaskGuardrail
The CodeInterpreterTool already ensures compliance with this requirement.
* refactor: replace if/raise with assert
For this use case `assert` is more appropriate choice
* test: remove useless or duplicated test
* fix: attempt to fix type-checker
* feat: support to define a task guardrail using YAML config
* refactor: simplify TaskGuardrail to use LLM for validation, no code generation
* docs: update TaskGuardrail doc strings
* refactor: drop task paramenter from TaskGuardrail
This parameter was used to get the model from the `task.agent` which is a quite bit redudant since we could propagate the llm directly
This commit fixes a bug where changing logging level would be overriden
by `src/crewai/project/crew_base.py`. For example, the following snippet
on top of a crew or flow would not work:
```python
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
```
Crews and flows should be able to set their own log level, without being
overriden by CrewAI library code.
* before kickoff breaks if inputs are none.
* improve none type
* Fix failing tests
* add tests for new code
* Fix failing test
* drop extra comments
* clean up based on eduardo feedback
* rebuilding executor
* removing langchain
* Making all tests good
* fixing types and adding ability for nor using system prompts
* improving types
* pleasing the types gods
* pleasing the types gods
* fixing parser, tools and executor
* making sure all tests pass
* final pass
* fixing type
* Updating Docs
* preparing to cut new version
* Clean up pipeline
* Make versioning dynamic in templates
* fix .env issues when openai is trying to use invalid keys
* Fix type checker issue in pipeline
* Fix tests.
* WIP. Procedure appears to be working well. Working on mocking properly for tests
* All tests are passing now
* rshift working
* Add back in Gui's tool_usage fix
* WIP
* Going to start refactoring for pipeline_output
* Update terminology
* new pipeline flow with traces and usage metrics working. need to add more tests and make sure PipelineOutput behaves likew CrewOutput
* Fix pipelineoutput to look more like crewoutput and taskoutput
* Implemented additional tests for pipeline. One test is failing. Need team support
* Update docs for pipeline
* Update pipeline to properly process input and ouput dictionary
* Update Pipeline docs
* Add back in commentary at top of pipeline file
* Starting to work on router
* Drop router for now. will add in separately
* In the middle of fixing router. A ton of circular dependencies. Moving over to a new design.
* WIP.
* Fix circular dependencies and updated PipelineRouter
* Add in Eduardo feedback. Still need to add in more commentary describing the design decisions for pipeline
* Add developer notes to explain what is going on in pipelines.
* Add doc strings
* Fix missing rag datatype
* WIP. Converting usage metrics from a dict to an object
* Fix tests that were checking usage metrics
* Drop todo
* Fix 1 type error in pipeline
* Update pipeline to use UsageMetric
* Add missing doc string
* WIP.
* Change names
* Rename variables based on joaos feedback
* Fix critical circular dependency issues. Now needing to fix trace issue.
* Tests working now!
* Add more tests which showed underlying issue with traces
* Fix tests
* Remove overly complicated test
* Add router example to docs
* Clean up end of docs
* Clean up docs
* Working on creating Crew templates and pipeline templates
* WIP.
* WIP
* Fix poetry install from templates
* WIP
* Restructure
* changes for lorenze
* more todos
* WIP: create pipelines cli working
* wrapped up router
* ignore mypy src on templates
* ignored signature of copy
* fix all verbose
* rm print statements
* brought back correct folders
* fixes missing folders and then rm print statements
* fixed tests
* fixed broken test
* fixed type checker
* fixed type ignore
* ignore types for templates
* needed
* revert
* exclude only required
* rm type errors on templates
* rm excluding type checks for template files on github action
* fixed missing quotes
---------
Co-authored-by: Brandon Hancock <brandon@brandonhancock.io>
* WIP: yaml proper mapping for agents and agent
* WIP: added output_json and output_pydantic setup
* WIP: core logic added, need cleanup
* code cleanup
* updated docs and example template to use yaml to reference agents within tasks
* cleanup type errors
* Update Start-a-New-CrewAI-Project.md
---------
Co-authored-by: João Moura <joaomdmoura@gmail.com>
* fix: fix test actually running
* fix: fix test to not send request to openai
* fix: fix linting to remove cli files
* fix: exclude only files that breaks black
* fix: Fix all Ruff checkings on the code and Fix Test with repeated name
* fix: Change linter name on yml file
* feat: update pre-commit
* feat: remove need for isort on the code
* feat: add mypy as type checker, update code and add comment to reference
* feat: remove black linter
* feat: remove poetry to run the command
* feat: change logic to test mypy
* feat: update tests yml to try to fix the tests gh action
* feat: try to add just mypy to run on gh action
* feat: fix yml file
* feat: add comment to avoid issue on gh action
* feat: decouple pytest from the necessity of poetry install
* feat: change tests.yml to test different approach
* feat: change to poetry run
* fix: parameter field on yml file
* fix: update parameters to be on the pyproject
* fix: update pyproject to remove import untyped errors
* Bug/curly_braces_yaml
Added parser to help users on yaml syntax
* context error
Patch and later will prioritize this again to have context work with the yaml
