c5664c7e90
* mongo init * perf: mongo connect * perf: tts perf: whisper and tts peref: tts whisper permission log reabase (#488) * perf: modal * i18n * perf: schema lean * feat: vision model format * perf: tts loading * perf: static data * perf: tts * feat: image * perf: image * perf: upload image and title * perf: image size * doc * perf: color * doc * speaking can not select file * doc
161 lines
4.2 KiB
Markdown
161 lines
4.2 KiB
Markdown
---
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title: '配置文件介绍'
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description: 'FastGPT 配置参数介绍'
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icon: 'settings'
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draft: false
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toc: true
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weight: 520
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---
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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。
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**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。
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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……
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## 完整配置参数
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**使用时，请务必去除注释！**
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```json
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{
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"SystemParams": {
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"pluginBaseUrl": "", // 商业版接口地址
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"vectorMaxProcess": 15, // 向量生成最大进程，结合数据库性能和 key 来设置
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"qaMaxProcess": 15, // QA 生成最大进程，结合数据库性能和 key 来设置
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"pgHNSWEfSearch": 100 // pg vector 索引参数，越大精度高但速度慢
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},
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"ChatModels": [
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{
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"model": "gpt-3.5-turbo-1106",
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"name": "GPT35-1106",
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"price": 0, // 除以 100000 后等于1个token的价格
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"maxContext": 16000, // 最大上下文长度
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"maxResponse": 4000, // 最大回复长度
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"quoteMaxToken": 2000, // 最大引用内容长度
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"maxTemperature": 1.2, // 最大温度值
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"censor": false, // 是否开启敏感词过滤(商业版)
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"vision": false, // 支持图片输入
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"defaultSystemChatPrompt": ""
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},
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{
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"model": "gpt-3.5-turbo-16k",
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"name": "GPT35-16k",
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"maxContext": 16000,
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"maxResponse": 16000,
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"price": 0,
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"quoteMaxToken": 8000,
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"maxTemperature": 1.2,
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"censor": false,
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"vision": false,
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"defaultSystemChatPrompt": ""
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},
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{
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"model": "gpt-4",
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"name": "GPT4-8k",
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"maxContext": 8000,
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"maxResponse": 8000,
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"price": 0,
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"quoteMaxToken": 4000,
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"maxTemperature": 1.2,
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"censor": false,
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"vision": false,
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"defaultSystemChatPrompt": ""
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},
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{
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"model": "gpt-4-vision-preview",
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"name": "GPT4-Vision",
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"maxContext": 128000,
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"maxResponse": 4000,
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"price": 0,
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"quoteMaxToken": 100000,
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"maxTemperature": 1.2,
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"censor": false,
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"vision": true,
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"defaultSystemChatPrompt": ""
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}
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],
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"QAModels": [
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{
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"model": "gpt-3.5-turbo-16k",
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"name": "GPT35-16k",
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"maxContext": 16000,
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"maxResponse": 16000,
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"price": 0
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}
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],
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"CQModels": [
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{
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"model": "gpt-3.5-turbo-1106",
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"name": "GPT35-1106",
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"maxContext": 16000,
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"maxResponse": 4000,
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"price": 0,
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"functionCall": true,
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"functionPrompt": ""
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},
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{
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"model": "gpt-4",
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"name": "GPT4-8k",
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"maxContext": 8000,
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"maxResponse": 8000,
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"price": 0,
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"functionCall": true,
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"functionPrompt": ""
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}
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],
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"ExtractModels": [
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{
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"model": "gpt-3.5-turbo-1106",
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"name": "GPT35-1106",
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"maxContext": 16000,
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"maxResponse": 4000,
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"price": 0,
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"functionCall": true,
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"functionPrompt": ""
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}
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],
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"QGModels": [
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{
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"model": "gpt-3.5-turbo-1106",
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"name": "GPT35-1106",
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"maxContext": 1600,
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"maxResponse": 4000,
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"price": 0
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}
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],
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"VectorModels": [
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{
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"model": "text-embedding-ada-002",
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"name": "Embedding-2",
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"price": 0.2,
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"defaultToken": 700,
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"maxToken": 3000
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}
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],
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"AudioSpeechModels": [
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{
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"model": "tts-1",
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"name": "OpenAI TTS1",
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"price": 0,
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"baseUrl": "",
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"key": "",
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"voices": [
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{ "label": "Alloy", "value": "alloy", "bufferId": "openai-Alloy" },
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{ "label": "Echo", "value": "echo", "bufferId": "openai-Echo" },
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{ "label": "Fable", "value": "fable", "bufferId": "openai-Fable" },
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{ "label": "Onyx", "value": "onyx", "bufferId": "openai-Onyx" },
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{ "label": "Nova", "value": "nova", "bufferId": "openai-Nova" },
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{ "label": "Shimmer", "value": "shimmer", "bufferId": "openai-Shimmer" }
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]
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}
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],
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"WhisperModel": {
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"model": "whisper-1",
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"name": "Whisper1",
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"price": 0
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}
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}
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```
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