23 lines
1003 B
Markdown
23 lines
1003 B
Markdown
# ReAct Agent Example
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This example showcases a **ReAct** agent in AgentScope. Specifically, the ReAct agent will discuss with the user in
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an alternative manner, i.e., chatbot style. It is equipped with a suite of tools to assist in answering user queries.
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> 💡 Tip: Try ``Ctrl+C`` to interrupt the agent's reply to experience the realtime steering/interruption feature!
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## Quick Start
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Ensure you have installed agentscope and set ``DASHSCOPE_API_KEY`` in your environment variables.
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Run the following commands to set up and run the example:
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```bash
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python main.py
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```
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> Note:
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> - The example is built with DashScope chat model. If you want to change the model used in this example, don't
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> forget to change the formatter at the same time! The corresponding relationship between built-in models and
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> formatters are list in [our tutorial](https://doc.agentscope.io/tutorial/task_prompt.html#id1)
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> - For local models, ensure the model service (like Ollama) is running before starting the agent.
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