--- 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…… ## 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": [ // 对话模型 { "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) "vision": false, // 支持图片输入 "defaultSystemChatPrompt": "" }, { "model": "gpt-3.5-turbo-16k", "name": "GPT35-16k", "maxContext": 16000, "maxResponse": 16000, "price": 0, "quoteMaxToken": 8000, "maxTemperature": 1.2, "censor": false, "vision": false, "defaultSystemChatPrompt": "" }, { "model": "gpt-4", "name": "GPT4-8k", "maxContext": 8000, "maxResponse": 8000, "price": 0, "quoteMaxToken": 4000, "maxTemperature": 1.2, "censor": false, "vision": false, "defaultSystemChatPrompt": "" }, { "model": "gpt-4-vision-preview", "name": "GPT4-Vision", "maxContext": 128000, "maxResponse": 4000, "price": 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, "price": 0 } ], "CQModels": [ // 问题分类模型 { "model": "gpt-3.5-turbo-1106", "name": "GPT35-1106", "maxContext": 16000, "maxResponse": 4000, "price": 0, "functionCall": true, // 是否支持function call, 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, "price": 0, "functionCall": true, "functionPrompt": "" } ], "ExtractModels": [ // 内容提取模型 { "model": "gpt-3.5-turbo-1106", "name": "GPT35-1106", "maxContext": 16000, "maxResponse": 4000, "price": 0, "functionCall": true, "functionPrompt": "" } ], "QGModels": [ // 生成下一步指引 { "model": "gpt-3.5-turbo-1106", "name": "GPT35-1106", "maxContext": 1600, "maxResponse": 4000, "price": 0 } ], "VectorModels": [ // 向量模型 { "model": "text-embedding-ada-002", "name": "Embedding-2", "price": 0.2, "defaultToken": 700, "maxToken": 3000 } ], "AudioSpeechModels": [ { "model": "tts-1", "name": "OpenAI TTS1", "price": 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", "price": 0 } } ```