mirror of https://github.com/InternLM/InternLM
react format
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@ -219,3 +219,61 @@ fig.show()
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<|im_start|>assistant
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<|im_start|>assistant
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上海的天气是 22 摄氏度<|im_end|>
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上海的天气是 22 摄氏度<|im_end|>
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````
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````
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## ReACT 对话格式
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#### 工具调用
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````
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<|im_start|>system
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你是一个可以调用外部工具的助手,可以使用的工具包括:
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[
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{
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"name": "get_current_weather",
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"description": "Get the current weather in a given location",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state, e.g. San Francisco, CA",
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},
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"unit": {"type": "string"},
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},
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"required": ["location"],
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},
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}
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]
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如果使用工具请遵循以下格式回复:
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```
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Thought:思考你当前步骤需要解决什么问题,是否需要使用工具
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Action:工具名称,你的工具必须从 [get_current_weather] 选择
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Action Input:工具输入参数
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```
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工具返回按照以下格式回复:
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```
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Response:调用工具后的结果
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```
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如果你已经知道了答案,或者你不需要工具
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请遵循以下格式回复
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```
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Thought:给出最终答案的思考过程
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Final Answer:最终答案
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```
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开始!
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<|im_end|>
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<|im_start|>user
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我想了解今天上海的天气<|im_end|>
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<|im_start|>assistant
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Thought:好的,我将为你查询上海的天气。
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Action:get_current_weather
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Action Input:{"location": "Shanghai"}
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<|im_start|>system
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Response:{"temperature": 22}<|im_end|>
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<|im_start|>assistant
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Thought: 根据回复可以给出最终答案
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Final Answer:上海的天气是 22 摄氏度<|im_end|>
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````
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其中 system 承担了提供工具的描述、格式约束和工具调用的结果返回三种功能。在训练过程中一般情况下 system 和 user 的内容不计算损失,只有 assistant 的内容计算损失。可以参考
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[Xtuner-MSAgent](https://github.com/InternLM/xtuner/blob/770bac38bc905794eb38e53de4f54f98e30a77dc/xtuner/dataset/map_fns/dataset_map_fns/msagent_map_fn.py) 来了解对话历史的拼接。
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