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CodeActAgent

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Description

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.

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Demo

https://github.com/All-Hands-AI/OpenHands/assets/38853559/f592a192-e86c-4f48-ad31-d69282d5f6ac

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

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CodeActAgent

​
Description

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.

​
Demo

https://github.com/All-Hands-AI/OpenHands/assets/38853559/f592a192-e86c-4f48-ad31-d69282d5f6ac

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