d6128941b7
* doc: Guide for using local LLM with Ollama * forgot to delete print statement * typos * Updated guide - new working method * Move to docs folder * Fixed front end overwrite local model name * Update llm.py * Delete docs/examples/images/example.png deleted example.png * Documentation of agent differences * rename examples to documentation * Docstrings for all agents * typo fix * typo fixes * Typo fixes * more typo fixes * typo fix * typo fixes * typos fixed * Typo fixes * top 10 list * typo fix * typo fix * typos to the moon * typos fixed * typo fix * typo fix * anotha one * The rest of the typos * Corrected agent descriptions * Agents markdown updated --------- Co-authored-by: Robert Brennan <accounts@rbren.io>
CodeAct-based Agent Framework
This folder implements the CodeAct idea that relies on LLM to autonomously perform actions in a Bash shell. It requires more from the LLM itself: LLM needs to be capable enough to do all the stuff autonomously, instead of stuck in an infinite loop.
A minimalistic example can be found at research/codeact/examples/run_flask_server_with_bash.py:
mkdir workspace
PYTHONPATH=`pwd`:$PYTHONPATH python3 opendevin/main.py -d ./workspace -c CodeActAgent -t "Please write a flask app that returns 'Hello, World\!' at the root URL, then start the app on port 5000. python3 has already been installed for you."
Example: prompts gpt-4-0125-preview to write a flask server, install flask library, and start the server.
Most of the things are working as expected, except at the end, the model did not follow the instruction to stop the interaction by outputting <execute> exit </execute> as instructed.
TODO: This should be fixable by either (1) including a complete in-context example like this, OR (2) collect some interaction data like this and fine-tune a model (like this, a more complex route).