This agent implements the CodeAct idea (paper, tweet) that consolidates LLM agents’ actions into a unified code action space for both simplicity and performance.

The conceptual idea is illustrated below. At each turn, the agent can:

1. Converse: Communicate with humans in natural language to ask for clarification, confirmation, etc.
2. CodeAct: Choose to perform the task by executing code

• Execute any valid Linux bash command
• Execute any valid Python code with an interactive Python interpreter. This is simulated through bash command, see plugin system below for more details.

Example of CodeActAgent with gpt-4-turbo-2024-04-09 performing a data science task (linear regression).