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FastGPT/docSite/content/docs/development/configuration.md
Robin Wang ec8e2512bc change gpt-4-turbo maxResponse configuration template (#814)
用最新的配置文件4.6.8 ,对话选gpt-4-turbo 报错:
null max_tokens is too large: 62500. This model supports at most 4096 completion tokens, whereas you provided 62500. (request id: 20240202110253407344738SmDnkwX1)
原因是官方gpt-4-turbo 最大的返回token 4096.
2024-02-02 12:20:16 +08:00

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---
title: '配置文件介绍'
description: 'FastGPT 配置参数介绍'
icon: 'settings'
draft: false
toc: true
weight: 708
---
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/development/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……
## 4.6.8 以前版本完整配置参数
**使用时,请务必去除注释!**
以下配置适用于V4.6.6-alpha版本以后
```json
{
"systemEnv": {
"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": [ // 对话模型
{
"model": "gpt-3.5-turbo-1106",
"name": "GPT35-1106",
"inputPrice": 0, // 输入价格。 xx元/1k tokens
"outputPrice": 0, // 输出价格。 xx元/1k tokens
"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)
"vision": false, // 支持图片输入
"defaultSystemChatPrompt": ""
},
{
"model": "gpt-3.5-turbo-16k",
"name": "GPT35-16k",
"maxContext": 16000,
"maxResponse": 16000,
"inputPrice": 0,
"outputPrice": 0,
"quoteMaxToken": 8000,
"maxTemperature": 1.2,
"censor": false,
"vision": false,
"defaultSystemChatPrompt": ""
},
{
"model": "gpt-4",
"name": "GPT4-8k",
"maxContext": 8000,
"maxResponse": 8000,
"inputPrice": 0,
"outputPrice": 0,
"quoteMaxToken": 4000,
"maxTemperature": 1.2,
"censor": false,
"vision": false,
"defaultSystemChatPrompt": ""
},
{
"model": "gpt-4-vision-preview",
"name": "GPT4-Vision",
"maxContext": 128000,
"maxResponse": 4000,
"inputPrice": 0,
"outputPrice": 0,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"censor": false,
"vision": true,
"defaultSystemChatPrompt": ""
}
],
"qaModels": [ // QA 生成模型
{
"model": "gpt-3.5-turbo-16k",
"name": "GPT35-16k",
"maxContext": 16000,
"maxResponse": 16000,
"inputPrice": 0,
"outputPrice": 0
}
],
"cqModels": [ // 问题分类模型
{
"model": "gpt-3.5-turbo-1106",
"name": "GPT35-1106",
"maxContext": 16000,
"maxResponse": 4000,
"inputPrice": 0,
"outputPrice": 0,
"toolChoice": true, // 是否支持openai的 toolChoice 不支持的模型需要设置为 false会走提示词生成
"functionPrompt": ""
},
{
"model": "gpt-4",
"name": "GPT4-8k",
"maxContext": 8000,
"maxResponse": 8000,
"inputPrice": 0,
"outputPrice": 0,
"toolChoice": true,
"functionPrompt": ""
}
],
"extractModels": [ // 内容提取模型
{
"model": "gpt-3.5-turbo-1106",
"name": "GPT35-1106",
"maxContext": 16000,
"maxResponse": 4000,
"inputPrice": 0,
"outputPrice": 0,
"toolChoice": true,
"functionPrompt": ""
}
],
"qgModels": [ // 生成下一步指引
{
"model": "gpt-3.5-turbo-1106",
"name": "GPT35-1106",
"maxContext": 1600,
"maxResponse": 4000,
"inputPrice": 0,
"outputPrice": 0
}
],
"vectorModels": [ // 向量模型
{
"model": "text-embedding-ada-002",
"name": "Embedding-2",
"inputPrice": 0,
"defaultToken": 700,
"maxToken": 3000
}
],
"reRankModels": [], // 重排模型,暂时填空数组
"audioSpeechModels": [
{
"model": "tts-1",
"name": "OpenAI TTS1",
"inputPrice": 0,
"baseUrl": "",
"key": "",
"voices": [
{ "label": "Alloy", "value": "alloy", "bufferId": "openai-Alloy" },
{ "label": "Echo", "value": "echo", "bufferId": "openai-Echo" },
{ "label": "Fable", "value": "fable", "bufferId": "openai-Fable" },
{ "label": "Onyx", "value": "onyx", "bufferId": "openai-Onyx" },
{ "label": "Nova", "value": "nova", "bufferId": "openai-Nova" },
{ "label": "Shimmer", "value": "shimmer", "bufferId": "openai-Shimmer" }
]
}
],
"whisperModel": {
"model": "whisper-1",
"name": "Whisper1",
"inputPrice": 0
}
}
```
## 4.6.8 新配置文件
llm模型全部合并
```json
{
"systemEnv": {
"openapiPrefix": "fastgpt",
"vectorMaxProcess": 15,
"qaMaxProcess": 15,
"pgHNSWEfSearch": 100
},
"llmModels": [
{
"model": "gpt-3.5-turbo-1106", // 模型名
"name": "gpt-3.5-turbo", // 别名
"maxContext": 16000, // 最大上下文
"maxResponse": 4000, // 最大回复
"quoteMaxToken": 13000, // 最大引用内容
"maxTemperature": 1.2, // 最大温度
"inputPrice": 0,
"outputPrice": 0,
"censor": false,
"vision": false, // 是否支持图片输入
"datasetProcess": false, // 是否设置为知识库处理模型
"toolChoice": true, // 是否支持工具选择
"functionCall": false, // 是否支持函数调用
"customCQPrompt": "", // 自定义文本分类提示词(不支持工具和函数调用的模型
"customExtractPrompt": "", // 自定义内容提取提示词
"defaultSystemChatPrompt": "", // 对话默认携带的系统提示词
"defaultConfig":{} // 对话默认配置(比如 GLM4 的 top_p
},
{
"model": "gpt-3.5-turbo-16k",
"name": "gpt-3.5-turbo-16k",
"maxContext": 16000,
"maxResponse": 16000,
"quoteMaxToken": 13000,
"maxTemperature": 1.2,
"inputPrice": 0,
"outputPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": true,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig":{}
},
{
"model": "gpt-4-0125-preview",
"name": "gpt-4-turbo",
"maxContext": 125000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"inputPrice": 0,
"outputPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": false,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig":{}
},
{
"model": "gpt-4-vision-preview",
"name": "gpt-4-vision",
"maxContext": 128000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"inputPrice": 0,
"outputPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": false,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig":{}
}
],
"vectorModels": [
{
"model": "text-embedding-ada-002",
"name": "Embedding-2",
"inputPrice": 0,
"outputPrice": 0,
"defaultToken": 700,
"maxToken": 3000,
"weight": 100,
"defaultConfig":{} // 默认配置。例如,如果希望使用 embedding3-large 的话,可以传入 dimensions:1024来返回1024维度的向量。目前必须小于1536维度
}
],
"reRankModels": [],
"audioSpeechModels": [
{
"model": "tts-1",
"name": "OpenAI TTS1",
"inputPrice": 0,
"outputPrice": 0,
"voices": [
{ "label": "Alloy", "value": "alloy", "bufferId": "openai-Alloy" },
{ "label": "Echo", "value": "echo", "bufferId": "openai-Echo" },
{ "label": "Fable", "value": "fable", "bufferId": "openai-Fable" },
{ "label": "Onyx", "value": "onyx", "bufferId": "openai-Onyx" },
{ "label": "Nova", "value": "nova", "bufferId": "openai-Nova" },
{ "label": "Shimmer", "value": "shimmer", "bufferId": "openai-Shimmer" }
]
}
],
"whisperModel": {
"model": "whisper-1",
"name": "Whisper1",
"inputPrice": 0,
"outputPrice": 0
}
}
```
## 特殊模型
### ReRank 接入
请使用 4.6.6-alpha 以上版本,配置文件中的 `reRankModels` 为重排模型虽然是数组不过目前仅有第1个生效。
1. [部署 ReRank 模型](/docs/development/custom-models/reranker/)
1. 找到 FastGPT 的配置文件中的 `reRankModels` 4.6.6 以前是 `ReRankModels`
2. 修改对应的值:(记得去掉注释)
```json
{
"reRankModels": [
{
"model": "bge-reranker-base", // 随意
"name": "检索重排-base", // 随意
"inputPrice": 0,
"requestUrl": "{{host}}/api/v1/rerank",
"requestAuth": "安全凭证,已自动补 Bearer"
}
]
}
```