Xingyao Wang ae13171194
feat(agent): CodeAct with function calling (#4537)
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Co-authored-by: tofarr <tofarr@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-10-29 11:06:33 +08:00
..

CodeAct Agent Framework

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

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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