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>
* better spacing
* works with llama index
* works on langchain custom just need delegation to work
* cleanup for custom_agent class
* works with different argument expectations for agent_executor
* cleanup for hierarchial process, better agent_executor args handler and added to the crew agent doc page
* removed code examples for langchain + llama index, added to docs instead
* added key output if return is not a str for and added some tests
* added hinting for CustomAgent class
* removed pass as it was not needed
* closer just need to figuire ou agentTools
* running agents - llamaindex and langchain with base agent
* some cleanup on baseAgent
* minimum for agent to run for base class and ensure it works with hierarchical process
* cleanup for original agent to take on BaseAgent class
* Agent takes on langchainagent and cleanup across
* token handling working for usage_metrics to continue working
* installed llama-index, updated docs and added better name
* fixed some type errors
* base agent holds token_process
* heirarchail process uses proper tools and no longer relies on hasattr for token_processes
* removal of test_custom_agent_executions
* this fixes copying agents
* leveraging an executor class for trigger llamaindex agent
* llama index now has ask_human
* executor mixins added
* added output converter base class
* type listed
* cleanup for output conversions and tokenprocess eliminated redundancy
* properly handling tokens
* simplified token calc handling
* original agent with base agent builder structure setup
* better docs
* no more llama-index dep
* cleaner docs
* test fixes
* poetry reverts and better docs
* base_agent_tools set for third party agents
* updated task and test fix
* feat: add CodeInterpreterTool to run when enable code execution is allowed on agent
* feat: change to allow_code_execution
* feat: add readme for CodeInterpreterTool
* mentioning ollama on the docs as embedder
* lowering barrier to match tool with simialr name
* Fixing agent tools to support co_worker
* Adding new tests
* Fixing type"
* updating tests
* fixing conflict
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>
I saw a rendedered whitespace inconsistency in the Tasks docs here:
ed31860071/docs/core-concepts/Tasks.md (L173)
So I set out to patch that up to make it easier to read. I then noticed
there were a few whitespace inconsistencies:
- 2 spaces
- 4 whitespaces
- tabs
It appears that the 4 whitespaces is the prevalent whitesapce usage, so
I overwrote other whitespace usages with that in this commit.
Co-authored-by: Rueben Ramirez <rramirez@ruebens-mbp.tail7c016.ts.net>
Co-authored-by: João Moura <joaomdmoura@gmail.com>
* log_file
feature: added a new parameter for crew that creates a txt file to log agent execution
* unit tests and documentation
unit test if file is created but not what is inside the file
