mirror of
https://github.com/labring/FastGPT.git
synced 2025-10-20 18:54:09 +00:00
136 lines
3.3 KiB
Markdown
136 lines
3.3 KiB
Markdown
---
|
|
title: '配置文件介绍'
|
|
description: 'FastGPT 配置参数介绍'
|
|
icon: 'settings'
|
|
draft: false
|
|
toc: true
|
|
weight: 520
|
|
---
|
|
|
|
由于环境变量不利于配置复杂的内容，新版 FastGPT 采用了 ConfigMap 的形式挂载配置文件，你可以在 `projects/app/data/config.json` 看到默认的配置文件。可以参考 [docker-compose 快速部署](/docs/installation/docker/) 来挂载配置文件。
|
|
|
|
**开发环境下**，你需要将示例配置文件 `config.json` 复制成 `config.local.json` 文件才会生效。
|
|
|
|
这个配置文件中包含了系统级参数、AI 对话的模型、function 模型等……
|
|
|
|
|
|
## 完整配置参数
|
|
|
|
**使用时，请务必去除注释！**
|
|
|
|
```json
|
|
{
|
|
"SystemParams": {
|
|
"pluginBaseUrl": "", // 商业版接口地址
|
|
"vectorMaxProcess": 15, // 向量生成最大进程，结合数据库性能和 key 来设置
|
|
"qaMaxProcess": 15, // QA 生成最大进程，结合数据库性能和 key 来设置
|
|
"pgHNSWEfSearch": 100 // pg vector 索引参数，越大精度高但速度慢
|
|
},
|
|
"ChatModels": [
|
|
{
|
|
"model": "gpt-3.5-turbo-1106",
|
|
"name": "GPT35-1106",
|
|
"price": 0, // 除以 100000 后等于1个token的价格
|
|
"maxContext": 16000, // 最大上下文长度
|
|
"maxResponse": 4000, // 最大回复长度
|
|
"quoteMaxToken": 2000, // 最大引用内容长度
|
|
"maxTemperature": 1.2, // 最大温度值
|
|
"censor": false, // 是否开启敏感词过滤(商业版)
|
|
"defaultSystemChatPrompt": ""
|
|
},
|
|
{
|
|
"model": "gpt-3.5-turbo-16k",
|
|
"name": "GPT35-16k",
|
|
"maxContext": 16000,
|
|
"maxResponse": 16000,
|
|
"price": 0,
|
|
"quoteMaxToken": 8000,
|
|
"maxTemperature": 1.2,
|
|
"censor": false,
|
|
"defaultSystemChatPrompt": ""
|
|
},
|
|
{
|
|
"model": "gpt-4",
|
|
"name": "GPT4-8k",
|
|
"maxContext": 8000,
|
|
"maxResponse": 8000,
|
|
"price": 0,
|
|
"quoteMaxToken": 4000,
|
|
"maxTemperature": 1.2,
|
|
"censor": false,
|
|
"defaultSystemChatPrompt": ""
|
|
}
|
|
],
|
|
"QAModels": [
|
|
{
|
|
"model": "gpt-3.5-turbo-16k",
|
|
"name": "GPT35-16k",
|
|
"maxContext": 16000,
|
|
"maxResponse": 16000,
|
|
"price": 0
|
|
}
|
|
],
|
|
"CQModels": [
|
|
{
|
|
"model": "gpt-3.5-turbo-1106",
|
|
"name": "GPT35-1106",
|
|
"maxContext": 16000,
|
|
"maxResponse": 4000,
|
|
"price": 0,
|
|
"functionCall": true,
|
|
"functionPrompt": ""
|
|
},
|
|
{
|
|
"model": "gpt-4",
|
|
"name": "GPT4-8k",
|
|
"maxContext": 8000,
|
|
"maxResponse": 8000,
|
|
"price": 0,
|
|
"functionCall": true,
|
|
"functionPrompt": ""
|
|
}
|
|
],
|
|
"ExtractModels": [
|
|
{
|
|
"model": "gpt-3.5-turbo-1106",
|
|
"name": "GPT35-1106",
|
|
"maxContext": 16000,
|
|
"maxResponse": 4000,
|
|
"price": 0,
|
|
"functionCall": true,
|
|
"functionPrompt": ""
|
|
}
|
|
],
|
|
"QGModels": [
|
|
{
|
|
"model": "gpt-3.5-turbo-1106",
|
|
"name": "GPT35-1106",
|
|
"maxContext": 1600,
|
|
"maxResponse": 4000,
|
|
"price": 0
|
|
}
|
|
],
|
|
"VectorModels": [
|
|
{
|
|
"model": "text-embedding-ada-002",
|
|
"name": "Embedding-2",
|
|
"price": 0.2,
|
|
"defaultToken": 700,
|
|
"maxToken": 3000
|
|
}
|
|
],
|
|
"AudioSpeechModels": [
|
|
{
|
|
"model": "tts-1",
|
|
"name": "OpenAI TTS1",
|
|
"price": 0
|
|
},
|
|
{
|
|
"model": "tts-1-hd",
|
|
"name": "OpenAI TTS1HD",
|
|
"price": 0
|
|
}
|
|
]
|
|
}
|
|
```
|