* v1 of HITL working
* Drop print statements
* HITL code more robust. Still needs to be refactored.
* refactor and more clear messages
* Fix type issue
* fix tests
* Fix test again
* Drop extra print
* Knowledge project directory standard
* fixed types
* comment fix
* made base file knowledge source an abstract class
* cleaner validator on model_post_init
* fix type checker
* cleaner refactor
* better template
* V1 working
* clean up imports and prints
* more clean up and add tests
* fixing tests
* fix test
* fix linting
* Fix tests
* Fix linting
* add doc string as requested by eduardo
* initial knowledge
* WIP
* Adding core knowledge sources
* Improve types and better support for file paths
* added additional sources
* fix linting
* update yaml to include optional deps
* adding in lorenze feedback
* ensure embeddings are persisted
* improvements all around Knowledge class
* return this
* properly reset memory
* properly reset memory+knowledge
* consolodation and improvements
* linted
* cleanup rm unused embedder
* fix test
* fix duplicate
* generating cassettes for knowledge test
* updated default embedder
* None embedder to use default on pipeline cloning
* improvements
* fixed text_file_knowledge
* mypysrc fixes
* type check fixes
* added extra cassette
* just mocks
* linted
* mock knowledge query to not spin up db
* linted
* verbose run
* put a flag
* fix
* adding docs
* better docs
* improvements from review
* more docs
* linted
* rm print
* more fixes
* clearer docs
* added docstrings and type hints for cli
---------
Co-authored-by: João Moura <joaomdmoura@gmail.com>
Co-authored-by: Lorenze Jay <lorenzejaytech@gmail.com>
* 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
* Fixed agents. Now need to fix tasks.
* Add type fixes and fix task decorator
* Clean up logs
* fix more type errors
* Revert back to required
* Undo changes.
* Remove default none for properties that cannot be none
* Clean up comments
* Implement all of Guis feedback
* 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
* WIP: generated summary from documents split, could also create memgpt approach
* WIP: need tests but user inputted summarization strategy implemented - handling context window exceeding errors
* rm extra line
* removed type ignores
* added tests
* handling n to summarize prompt
* code cleanup, using click for cli asker
* rm not used class
* better refactor
* reverted poetry lock
* reverted poetry.locl
* improved context window exceeding exception class
* feat: Add execution time to both task and testing feature
* feat: Remove unused functions
* feat: change test_crew to evalaute_crew to avoid issues with testing libs
* feat: fix tests
* Performed spell check across the entire documentation
Thank you once again!
* Performed spell check across the most of code base
Folders been checked:
- agents
- cli
- memory
- project
- tasks
- telemetry
- tools
- translations
* Trying to add a max_token for the agents, so they limited by number of tokens.
* Performed spell check across the rest of code base, and enahnced the yaml paraser code a little
* Small change in the main agent doc
* Improve _save_file method to handle both dict and str inputs
- Add check for dict type input
- Use json.dump for dict serialization
- Convert non-dict inputs to string
- Remove type ignore comments
---------
Co-authored-by: João Moura <joaomdmoura@gmail.com>
* 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
* 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
* 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
