[BUG] completions接口是否支持传入提示词模版id？

[edwardlzh]

问题描述 / Problem Description
kb_chat接口支持传入prompt_name，completions接口呢？

复现问题的步骤 / Steps to Reproduce
我正在使用知识库对话（手动传入参数）的方式调用completions接口，在请求根节点下加prompt_name或者在tool_input中加好像都不支持。

预期的结果 / Expected Result
知识库对话（手动传入参数）的方式调用completions接口，支持传prompt_name，并能找到配置文件中的提示词模版

实际结果 / Actual Result
好像不生效

环境信息 / Environment Information

• Langchain-Chatchat 版本 / commit 号：0.3.1.3
  @948024326

[dosubot]

@edwardlzh 你好！我是Dosu，一个可以帮助你解决bug、回答问题和成为贡献者的机器人。在等待人类维护者的期间，我将会尽力帮助你。

The completions interface in Langchain-Chatchat does support the prompt_name parameter. It is defined with a default value of "default" and is used in the completion_iterator function to retrieve the prompt template from the configuration ^[1]. If you are experiencing issues with it not working as expected, you might want to ensure that the prompt_name you are using is correctly configured in the configs/prompt_config.py file.

To continue talking to Dosu, mention @dosu.

---

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[edwardlzh]

@edwardlzh 你好！我是Dosu，一个可以帮助你解决bug、回答问题和成为贡献者的机器人。在等待人类维护者的期间，我将会尽力帮助你。

The completions interface in Langchain-Chatchat does support the prompt_name parameter. It is defined with a default value of "default" and is used in the completion_iterator function to retrieve the prompt template from the configuration [1]. If you are experiencing issues with it not working as expected, you might want to ensure that the prompt_name you are using is correctly configured in the configs/prompt_config.py file.Langchain-Chachat 中的completions接口确实支持prompt_name参数。它使用默认值"default"进行定义，并在completion_iterator函数中使用，以从配置中检索提示模板[1] 。如果您遇到它无法按预期工作的问题，您可能需要确保您使用的prompt_name在configs/prompt_config.py文件中正确配置。

To continue talking to Dosu, mention @dosu.继续跟Dosu说话，提一下。

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@dosu

• completions请求如何传参，配置如何配置才能实现呢？
• 多个知识库存在不同的提示词，又如何传参如何配置呢？

[dosubot]

To configure and pass parameters in the completions request for different prompt templates and multiple knowledge bases in Langchain-Chatchat, you can use the /knowledge_base/chat/completions API. Here's how you can set it up:

1. Specify the prompt_name Parameter: Use the prompt_name parameter to select the desired prompt template. Ensure that the prompt_name you are using is correctly configured in the configs/prompt_config.py file.

2. Set the mode Parameter: Choose the retrieval mode using the mode parameter. For example, use "local_kb" for local knowledge bases.

3. Provide the kb_name Parameter: Specify the kb_name to indicate which knowledge base to use.

Here is an example of how to configure the request using the openai SDK:

base_url = "http://127.0.0.1:7861/knowledge_base/local_kb/samples"
data = {
    "model": "qwen2-instruct",
    "messages": [
        {"role": "user", "content": "你好"},
        {"role": "assistant", "content": "你好，我是人工智能大模型"},
        {"role": "user", "content": "如何高质量提问？"},
    ],
    "stream": True,
    "temperature": 0.7,
    "extra_body": {
      "top_k": 3,
      "score_threshold": 2.0,
      "return_direct": True,
      "prompt_name": "your_prompt_template_name",  # Specify your prompt template name here
      "mode": "local_kb",  # Specify the retrieval mode
      "kb_name": "your_knowledge_base_name"  # Specify the knowledge base name
    },
}

import openai
client = openai.Client(base_url=base_url, api_key="EMPTY")
resp = client.chat.completions.create(**data)
for r in resp:
    print(r)

This setup allows you to pass the prompt_name and other relevant parameters to configure the request for different prompt templates and knowledge bases ^[1][2].

To continue talking to Dosu, mention @dosu.

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[948024326]

没很看懂你需求，可以建议用dify看看能不能满足需求

[edwardlzh]

没很看懂你需求，可以建议用dify看看能不能满足需求

@948024326 你好，是这样的，我之前是通过/chat/kb_chat接口的prompt_name来选择配置文件中的提示词的，所以我理解prompt_name是一个key，来找到prompt_settings.yaml中配置的提示词模版。现在我切到/chat/chat/completions接口了，如果还是使用prompt_name这种功能（根据prompt_name自动匹配prompt_settings.yaml中配置的提示词模版）该怎么做？completions接口好像不支持prompt_name了