* Fixed special character issue when converting json to models. Added numerous tests to ensure thigns work properly.
* Fix linting error and cleaned up tests
* Fix customer_converter_cls test failure
* Fixed tests. Thank you lorenze for pointing that out. added a few more to ensure converter creation works properly
* Address lorenze feedback
* Fix linting issues
* patching for non-gpt model
* removal of json_object tool name assignment
* fixed issue for smaller models due to instructions prompt
* fixing for ollama llama3 models
* closing brackets
* removed not used and fixes
* WIP: hierarchical unblock for async tasks
* added better test
* update name change
* added more test and crew manager cleanup
* remove prints
* code cleanup, no need to pass manager
* feat: add ability to set LLM for AgentPLanner on Crew
* feat: fixes issue on instantiating the ChatOpenAI on the crew
* docs: add docs for the planning_llm new parameter
* docs: change message to ChatOpenAI llm
* feat: add tests
* feat: add crew Testing/evalauting feature
* feat: add docs and add unit test
* feat: improve testing output table
* feat: add tests
* feat: fix type checking issue
* feat: add raise ValueError when testing if output is not the expected
* docs: add docs for Testing
* feat: improve tests and fix some issue
* feat: back to sync
* feat: change opdeai model
* feat: fix test
* 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
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Co-authored-by: João Moura <joaomdmoura@gmail.com>
To solve :
I encountered an error while trying to use the tool. This was the error: DuckDuckGoSearchRun._run() got an unexpected keyword argument 'q'.
Tool duckduckgo_search accepts these inputs: A wrapper around DuckDuckGo Search. Useful for when you need to answer questions about current events. Input should be a search query.
refer : https://github.com/joaomdmoura/crewAI/issues/316
The memory documentation left me with a lot of questions. After I went through the code to find an answer. I added this paragraph to explain what I found. Hope this is helpful.
* feat: add planning feature to crew
* feat: add test to planning handler and change to execute_async method
* docs: add planning parameter to the Core documentation
* docs: add planning docs
* fix: fix type checking issue
* fix: test and logic
