想在使用文件对话时使用自己的提示词，想要的回答时结构化的格式输出，我在自定义提示词的时候如何写我需要结构化方式的回答？

[Ptianyu]

No description provided.

[dosubot]

To customize your prompt for structured format responses in file dialogs, you can use Python's str.format method for dynamic prompt generation. Here's a concise guide:

1. Create a Custom Prompt Template: Use str.format with placeholders ({}) for dynamic content. This allows you to insert variables like user input or context into the prompt.

2. Define Variables for the Template: Identify the variables you need (e.g., user input, context) and prepare them to be inserted into the template at runtime.

3. Render the Custom Prompt: Fill in the template with your variables to generate the final prompt to be used in your dialog system.

4. Handle Structured Responses: Ensure your system can parse and handle the structured responses, which might include actions, observations, and other structured data.

Example code snippet to illustrate these steps:

class CustomPromptTemplate(StringPromptTemplate):
    template: str
    tools: List[Tool]

    def format(self, **kwargs) -> str:
        # Example of adding intermediate steps and tool descriptions
        kwargs["agent_scratchpad"] = "\n".join([f"Thought: {action.log}" for action, _ in kwargs.get("intermediate_steps", [])])
        kwargs["tools"] = "\n".join([f"{tool.name}: {tool.description}" for tool in self.tools])
        return self.template.format(**kwargs)

# Rendering the custom prompt
custom_prompt_template = CustomPromptTemplate(template="Your custom prompt here with variables like {input}")
rendered_prompt = custom_prompt_template.format(input="Your specific question or input")

# Simulate getting a structured response
def get_response_for_custom_prompt(prompt):
    # Logic to process the prompt and return a structured response
    return {"action": "ExampleAction", "data": "ExampleData"}

# Handling the structured response
response = get_response_for_custom_prompt(rendered_prompt)
print(response)

This approach allows you to dynamically generate prompts tailored to your needs and handle responses in a structured format, facilitating easier parsing and processing of the data.

Details

Sources

• webui_pages/dialogue/dialogue.py
• configs/prompt_config.py.example
• server/agent/custom_template.py
• server/agent/custom_agent/ChatGLM3Agent.py
• markdown_docs/server/agent/custom_template.md

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[Dannissss0704]

插眼

[blackwhites]

prompt_config.py里改提示词，我把中文的改成英文了，这样老外可以看到英文回复

[Ptianyu]

我想以xxx：xxx
xxx：xxx的格式输出
但是他的输出格式是xxx：xxx xxx：xxx 我已经在提示词写了以第一种格式输出可回答还是第二种

[blackwhites]

没明白你的意思，能具体些？

[CRonaldo1997]

1-prompt中举例说明回复格式
2-用符合格式的数据微调模型