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27 lines
1.1 KiB
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27 lines
1.1 KiB
Plaintext
---
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title: Main Agent and Capabilities
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---
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## CodeActAgent
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### Description
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This agent implements the CodeAct idea ([paper](https://arxiv.org/abs/2402.01030), [tweet](https://twitter.com/xingyaow_/status/1754556835703751087)) that consolidates LLM agents’ **act**ions into a
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unified **code** action space for both _simplicity_ and _performance_.
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The conceptual idea is illustrated below. At each turn, the agent can:
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1. **Converse**: Communicate with humans in natural language to ask for clarification, confirmation, etc.
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2. **CodeAct**: Choose to perform the task by executing code
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- Execute any valid Linux `bash` command
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- Execute any valid `Python` code with [an interactive Python interpreter](https://ipython.org/). This is simulated through `bash` command, see plugin system below for more details.
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### Demo
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https://github.com/All-Hands-AI/OpenHands/assets/38853559/f592a192-e86c-4f48-ad31-d69282d5f6ac
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_Example of CodeActAgent with `gpt-4-turbo-2024-04-09` performing a data science task (linear regression)_.
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