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Metaso AI Free 服务\n\n[![](https://img.shields.io/github/license/llm-red-team/metaso-free-api.svg)](LICENSE)\n![](https://img.shields.io/github/stars/llm-red-team/metaso-free-api.svg)\n![](https://img.shields.io/github/forks/llm-red-team/metaso-free-api.svg)\n![](https://img.shields.io/docker/pulls/vinlic/metaso-free-api.svg)\n\n支持高速流式输出、支持秘塔AI超强联网搜索（全网or学术以及简洁、深入、研究三种模式），零配置部署，多路token支持。\n\n与ChatGPT接口完全兼容。\n\n还有以下九个free-api欢迎关注：\n\nMoonshot AI（Kimi.ai）接口转API [kimi-free-api](https://github.com/LLM-Red-Team/kimi-free-api)\n\n阶跃星辰 (跃问StepChat) 接口转API [step-free-api](https://github.com/LLM-Red-Team/step-free-api)\n\n智谱AI (智谱清言) 接口转API [glm-free-api](https://github.com/LLM-Red-Team/glm-free-api)\n\n阿里通义 (Qwen) 接口转API [qwen-free-api](https://github.com/LLM-Red-Team/qwen-free-api)\n\n字节跳动（豆包）接口转API [doubao-free-api](https://github.com/LLM-Red-Team/doubao-free-api)\n\n讯飞星火（Spark）接口转API [spark-free-api](https://github.com/LLM-Red-Team/spark-free-api)\n\nMiniMax（海螺AI）接口转API [hailuo-free-api](https://github.com/LLM-Red-Team/hailuo-free-api)\n\n深度求索（DeepSeek）接口转API [deepseek-free-api](https://github.com/LLM-Red-Team/deepseek-free-api)\n\n聆心智能 (Emohaa) 接口转API [emohaa-free-api](https://github.com/LLM-Red-Team/emohaa-free-api)\n\n## 目录\n\n* [免责声明](#免责声明)\n* [在线体验](#在线体验)\n* [测试接口](#测试接口)\n* [效果示例](#效果示例)\n* [接入准备](#接入准备)\n  * [多账号接入](#多账号接入)\n* [Docker部署](#Docker部署)\n  * [Docker-compose部署](#Docker-compose部署)\n* [Render部署](#Render部署)\n* [Vercel部署](#Vercel部署)\n* [原生部署](#原生部署)\n* [推荐使用客户端](#推荐使用客户端)\n* [接口列表](#接口列表)\n  * [对话补全](#对话补全)\n  * [token存活检测](#token存活检测)\n* [注意事项](#注意事项)\n  * [Nginx反代优化](#Nginx反代优化)\n  * [Token统计](#Token统计)\n* [Star History](#star-history)\n\n## 免责声明\n\n**逆向API是不稳定的，建议前往秘塔AI官方 https://metaso.cn/ 使用，避免封禁的风险。**\n\n**本组织和个人不接受任何资金捐助和交易，此项目是纯粹研究交流学习性质！**\n\n**仅限自用，禁止对外提供服务或商用，避免对官方造成服务压力，否则风险自担！**\n\n**仅限自用，禁止对外提供服务或商用，避免对官方造成服务压力，否则风险自担！**\n\n**仅限自用，禁止对外提供服务或商用，避免对官方造成服务压力，否则风险自担！**\n\n## 在线体验\n\n此链接仅临时测试功能，如果遇到异常请稍后重试，建议自行部署使用。\n\nhttps://udify.app/chat/46rRHl5xoVa4m1lo\n\n## 效果示例\n\n### 三种搜索模式（简洁、深入、研究）\n\n![简洁和深入搜索模式](./doc/example-1.png)\n\n![研究搜索模式](./doc/example-2.png)\n\n### Dify工作流妙用\n\n![Dify工作流妙用](./doc/example-3.png)\n\n## 接入准备\n\n从 [秘塔AI搜索](https://metaso.cn/) 获取`uid`和`sid`并使用`-`拼接：\n\n进入秘塔AI搜索，登录账号（**建议登录账号，否则可能遭遇奇怪的限制**），然后F12打开开发者工具，从Application \u003e Cookies中找到`uid`和`sid`的值。\n\n将uid和sid拼接：`uid-sid`，如 `65e91a6b2bac5b600dd8526a-5e7acc465b114236a8d9de26c9f41846`。\n\n这将作为Authorization的Bearer Token值：`Authorization: Bearer uid-sid`\n\n![获取uid-sid](./doc/example-0.png)\n\n### 多账号接入\n\n**注意：目前怀疑秘塔对IP地址的总搜索次数有限制，建议加入IP轮换**\n\n你可以通过提供多个账号的uid-sid并使用`,`拼接提供：\n\n`Authorization: Bearer uid-sid1,uid-sid2,uid-sid3`\n\n每次请求服务会从中挑选一个。\n\n## Docker部署\n\n请准备一台具有公网IP的服务器并将8000端口开放。\n\n拉取镜像并启动服务\n\n```shell\ndocker run -it -d --init --name metaso-free-api -p 8000:8000 -e TZ=Asia/Shanghai vinlic/metaso-free-api:latest\n```\n\n查看服务实时日志\n\n```shell\ndocker logs -f metaso-free-api\n```\n\n重启服务\n\n```shell\ndocker restart metaso-free-api\n```\n\n停止服务\n\n```shell\ndocker stop metaso-free-api\n```\n\n### Docker-compose部署\n\n```yaml\nversion: '3'\n\nservices:\n  metaso-free-api:\n    container_name: metaso-free-api\n    image: vinlic/metaso-free-api:latest\n    restart: always\n    ports:\n      - \"8000:8000\"\n    environment:\n      - TZ=Asia/Shanghai\n    labels:\n      - vinlic.scope.metaso=metaso\n\n  watchtower:\n    image: containrrr/watchtower\n    restart: unless-stopped\n    command:\n      --cleanup\n      --scope metaso\n      --interval 600\n      --include-restarting\n      # 可以配置通知地址，具体支持列表请查看：https://containrrr.dev/shoutrrr/v0.8/services/overview/\n      # --notification-url=\"bark://{填入bark的token}@api.day.app/{填入bark的token}/metaso-image-just-updated?title=Notification\"\n    volumes:\n      - /var/run/docker.sock:/var/run/docker.sock\n```\n\n### Render部署\n\n**注意：部分部署区域可能无法连接metaso，如容器日志出现请求超时或无法连接，请切换其他区域部署！**\n**注意：免费账户的容器实例将在一段时间不活动时自动停止运行，这会导致下次请求时遇到50秒或更长的延迟，建议查看[Render容器保活](https://github.com/LLM-Red-Team/free-api-hub/#Render%E5%AE%B9%E5%99%A8%E4%BF%9D%E6%B4%BB)**\n\n1. fork本项目到你的github账号下。\n\n2. 访问 [Render](https://dashboard.render.com/) 并登录你的github账号。\n\n3. 构建你的 Web Service（New+ -\u003e Build and deploy from a Git repository -\u003e Connect你fork的项目 -\u003e 选择部署区域 -\u003e 选择实例类型为Free -\u003e Create Web Service）。\n\n4. 等待构建完成后，复制分配的域名并拼接URL访问即可。\n\n### Vercel部署\n\n**注意：Vercel免费账户的请求响应超时时间为10秒，但接口响应通常较久，可能会遇到Vercel返回的504超时错误！**\n\n请先确保安装了Node.js环境。\n\n```shell\nnpm i -g vercel --registry http://registry.npmmirror.com\nvercel login\ngit clone https://github.com/LLM-Red-Team/metaso-free-api\ncd metaso-free-api\nvercel --prod\n```\n\n## 原生部署\n\n请准备一台具有公网IP的服务器并将8000端口开放。\n\n请先安装好Node.js环境并且配置好环境变量，确认node命令可用。\n\n安装依赖\n\n```shell\nnpm i\n```\n\n安装PM2进行进程守护\n\n```shell\nnpm i -g pm2\n```\n\n编译构建，看到dist目录就是构建完成\n\n```shell\nnpm run build\n```\n\n启动服务\n\n```shell\npm2 start dist/index.js --name \"metaso-free-api\"\n```\n\n查看服务实时日志\n\n```shell\npm2 logs metaso-free-api\n```\n\n重启服务\n\n```shell\npm2 reload metaso-free-api\n```\n\n停止服务\n\n```shell\npm2 stop metaso-free-api\n```\n\n## 推荐使用客户端\n\n使用以下二次开发客户端接入free-api系列项目更快更简单，支持文档/图像上传！\n\n由 [Clivia](https://github.com/Yanyutin753/lobe-chat) 二次开发的LobeChat [https://github.com/Yanyutin753/lobe-chat](https://github.com/Yanyutin753/lobe-chat)\n\n由 [时光@](https://github.com/SuYxh) 二次开发的ChatGPT Web [https://github.com/SuYxh/chatgpt-web-sea](https://github.com/SuYxh/chatgpt-web-sea)\n\n## 接口列表\n\n目前支持与openai兼容的 `/v1/chat/completions` 接口，可自行使用与openai或其他兼容的客户端接入接口，或者使用 [dify](https://dify.ai/) 等线上服务接入使用。\n\n### 对话补全\n\n对话补全接口，与openai的 [chat-completions-api](https://platform.openai.com/docs/guides/text-generation/chat-completions-api) 兼容。\n\n**POST /v1/chat/completions**\n\nheader 需要设置 Authorization 头部：\n\n```\nAuthorization: Bearer [token]\n```\n\n请求数据：\n```json\n{\n    // 全网model名称支持 -\u003e 简洁：concise / 深入：detail / 研究：research\n    // 学术model名称支持 -\u003e 学术-简洁：concise-scholar / 学术-深入：detail-scholar / 学术-研究：research-scholar\n    // model乱填的话，可以通过tempature参数来控制（但不支持学术）：简洁：\u003c 0.4 / 深入：\u003e= 0.4 \u0026\u0026 \u003c 0.7 / 研究：\u003e= 0.7\n    // model乱填的话，还可以通过消息内容包含指令来控制：↓↓↓\n    // 简洁 -\u003e 简洁搜索小米su7 / 深入 -\u003e 深入搜索小米su7 / 研究 -\u003e 研究搜索小米su7\n    // 学术-简洁 -\u003e 学术简洁搜索：小米su7 / 学术-深入 -\u003e 学术深入搜索小米su7 / 学术研究 -\u003e 学术研究搜索小米su7\n    // 优先级：model \u003e 消息内容指令 \u003e tempature\n    \"model\": \"concise\",\n    \"messages\": [\n        {\n            \"role\": \"user\",\n            \"content\": \"秘塔AI\"\n        }\n    ],\n    // 如果使用SSE流请设置为true，默认false\n    \"stream\": false\n}\n```\n\n响应数据：\n```json\n{\n    \"id\": \"8466827997659213824\",\n    \"model\": \"concise\",\n    \"object\": \"chat.completion\",\n    \"choices\": [\n        {\n            \"index\": 0,\n            \"message\": {\n                \"role\": \"assistant\",\n                \"content\": \"秘塔AI搜索是上海秘塔网络科技有限公司在2024年初推出的一款新产品，被誉为中国版Perplexity。它利用自研的大模型MetaLLM，能够直接对用户的提问进行理解和回答，提供结构化、准确、直接的搜索结果，并明确列出来源参考，无需科学上网，解决了语言理解上的误差[[1]]。秘塔AI搜索通过其强大的语义理解能力和全网搜索功能，为用户提供了一个高效、无广告、信息丰富的搜索体验[[2]]。此外，秘塔AI搜索的特点包括没有广告，直达结果；结构化信息展示；以及信息来源追溯，为每条搜索结果提供了来源链接，用户可以轻松溯源验证信息的出处和可靠性[[4]]。秘塔科技成立于2018年4月，是一家新锐科技公司，致力于运用AI技术赋能专业场景，进行技术研发与产品落地[[3]]。\\n\"\n            },\n            \"finish_reason\": \"stop\"\n        }\n    ],\n    \"usage\": {\n        \"prompt_tokens\": 1,\n        \"completion_tokens\": 1,\n        \"total_tokens\": 2\n    },\n    \"created\": 1712859314\n}\n```\n\n### token存活检测\n\n检测token是否存活，如果存活live未true，否则为false，请不要频繁（小于10分钟）调用此接口。\n\n**POST /token/check**\n\n请求数据：\n```json\n{\n    \"token\": \"65e91a6b2bac5b600dd8526a-5e7acc465b114236a8d9de26c9f41846\"\n}\n```\n\n响应数据：\n```json\n{\n    \"live\": true\n}\n```\n\n## 注意事项\n\n### Nginx反代优化\n\n如果您正在使用Nginx反向代理metaso-free-api，请添加以下配置项优化流的输出效果，优化体验感。\n\n```nginx\n# 关闭代理缓冲。当设置为off时，Nginx会立即将客户端请求发送到后端服务器，并立即将从后端服务器接收到的响应发送回客户端。\nproxy_buffering off;\n# 启用分块传输编码。分块传输编码允许服务器为动态生成的内容分块发送数据，而不需要预先知道内容的大小。\nchunked_transfer_encoding on;\n# 开启TCP_NOPUSH，这告诉Nginx在数据包发送到客户端之前，尽可能地发送数据。这通常在sendfile使用时配合使用，可以提高网络效率。\ntcp_nopush on;\n# 开启TCP_NODELAY，这告诉Nginx不延迟发送数据，立即发送小数据包。在某些情况下，这可以减少网络的延迟。\ntcp_nodelay on;\n# 设置保持连接的超时时间，这里设置为120秒。如果在这段时间内，客户端和服务器之间没有进一步的通信，连接将被关闭。\nkeepalive_timeout 120;\n```\n\n### Token统计\n\n由于推理侧不在metaso-free-api，因此token不可统计，将以固定数字返回。\n\n## Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=LLM-Red-Team/metaso-free-api\u0026type=Date)](https://star-history.com/#LLM-Red-Team/metaso-free-api\u0026Date)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FLLM-Red-Team%2Fmetaso-free-api","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FLLM-Red-Team%2Fmetaso-free-api","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FLLM-Red-Team%2Fmetaso-free-api/lists"}