* Update Tasks.md
Current formating of the page Tasks has been broken, fix the markdown formatting.
* Update LLM-Connections.md
LLM class has been moved to llm.py file
* 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
I think there is some mistake, because there is no such parameter as force_output_result, and as the code shows, the correct parameter result_as_answer is set during agent creation, not task.
* 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>
* Cleaned up task execution to now have separate paths for async and sync execution. Updating all kickoff functions to return CrewOutput. WIP. Waiting for Joao feedback on async task execution with task_output
* Consistently storing async and sync output for context
* outline tests I need to create going forward
* Major rehaul of TaskOutput and CrewOutput. Updated all tests to work with new change. Need to add in a few final tricky async tests and add a few more to verify output types on TaskOutput and CrewOutput.
* Encountering issues with callback. Need to test on main. WIP
* working on tests. WIP
* WIP. Figuring out disconnect issue.
* Cleaned up logs now that I've isolated the issue to the LLM
* more wip.
* WIP. It looks like usage metrics has always been broken for async
* Update parent crew who is managing for_each loop
* Merge in main to bugfix/kickoff-for-each-usage-metrics
* Clean up code for review
* Add new tests
* Final cleanup. Ready for review.
* Moving copy functionality from Agent to BaseAgent
* Fix renaming issue
* Fix linting errors
* use BaseAgent instead of Agent where applicable
* Fixing missing function. Working on tests.
* WIP. Needing team to review change
* Fixing issues brought about by merge
* WIP: need to fix json encoder
* WIP need to fix encoder
* WIP
* WIP: replay working with async. need to add tests
* Implement major fixes from yesterdays group conversation. Now working on tests.
* The majority of tasks are working now. Need to fix converter class
* Fix final failing test
* Fix linting and type-checker issues
* Add more tests to fully test CrewOutput and TaskOutput changes
* Add in validation for async cannot depend on other async tasks.
* WIP: working replay feat fixing inputs, need tests
* WIP: core logic of seq and heir for executing tasks added into one
* Update validators and tests
* better logic for seq and hier
* replay working for both seq and hier just need tests
* fixed context
* added cli command + code cleanup TODO: need better refactoring
* refactoring for cleaner code
* added better tests
* removed todo comments and fixed some tests
* fix logging now all tests should pass
* cleaner code
* ensure replay is delcared when replaying specific tasks
* ensure hierarchical works
* better typing for stored_outputs and separated task_output_handler
* added better tests
* added replay feature to crew docs
* easier cli command name
* fixing changes
* using sqllite instead of .json file for logging previous task_outputs
* tools fix
* added to docs and fixed tests
* fixed .db
* fixed docs and removed unneeded comments
* separating ltm and replay db
* fixed printing colors
* added how to doc
---------
Co-authored-by: Brandon Hancock <brandon@brandonhancock.io>
To Resolve :
pydantic_core._pydantic_core.ValidationError: 1 validation error for Task
expected_output
Field required [type=missing, input_value=, input_type=dict]
For further information visit https://errors.pydantic.dev/2.6/v/missing
"Expected Output" is mandatory now as it forces people to be specific about the expected result and get better result
refer : https://github.com/joaomdmoura/crewAI/issues/308
Revised to utilize Ollama from langchain.llms instead as the functionality from the other method simply doesn't work when delegating.
Co-authored-by: João Moura <joaomdmoura@gmail.com>
Created a short documentation on how to use Llama2 locally with crewAI thanks to the help of Ollama.
Co-authored-by: João Moura <joaomdmoura@gmail.com>
