unlimited.surf Transfer API Worker
中文 | English
这是一个 Cloudflare Worker 中转适配器,用于把 https://unlimited.surf 转换成 OpenAI 兼容的 /v1/* 接口,以及 Anthropic/Claude Code 兼容的 /v1/messages 和 /anthropic/* 接口。
功能概览
- OpenAI 兼容:
/v1/chat/completions、/v1/responses、/v1/models、/v1/files。 - Anthropic 兼容:
/v1/messages、/v1/models、/anthropic/v1/messages、/anthropic/v1/models。 - unlimited.surf 原始接口代理:
/api/*会直接转发到上游。 - Web Search:映射到上游
POST /api/search。 - Merge AI:映射到上游
POST /api/merge。 - Files:上传/提取映射到上游
POST /api/attachments/extract。 - Agent Setup、Codex、MCP:提供说明和配置入口,分别是
/v1/setup、/v1/codex、/v1/mcp。
注意:MCP server 仍然需要在本地 agent、IDE 或 Claude Code/Codex 环境里运行。这个 Worker 只提供模型 API 端点,不会在 Cloudflare 边缘侧读取或修改你的本地文件。
通过 GitHub 关联 Cloudflare 自动部署
可以把本项目推送到 GitHub 私有仓库,然后让 Cloudflare 在每次提交后自动部署。
1. 推送到 GitHub
创建 GitHub 仓库并推送本项目。不要把 unlimited.surf API key 提交进仓库。
2. 在 Cloudflare 连接 GitHub 仓库
- 打开 Cloudflare Dashboard。
- 进入
Workers & Pages。 - 点击
Create。 - 选择
Import a repository或Connect to Git。 - 按提示授权 Cloudflare 访问 GitHub。
- 选择这个项目所在的 GitHub 仓库。
- Root directory 填
/,除非你把项目放在仓库子目录里。
3. 配置构建和部署参数
Cloudflare 部署表单里可以使用:
Framework preset: None
Build command: npm install
Deploy command: npx wrangler deploy
Root directory: /
Wrangler config: wrangler.toml
如果 Cloudflare 只提供一个命令输入框,可以填:
npm install && npx wrangler deploy
4. 添加 Cloudflare Secret
在 Worker 设置里添加 Secret:
UNLIMITED_SURF_API_KEY=<你的 unlimited.surf key>
通常位置是:
Workers & Pages -> 你的 Worker -> Settings -> Variables -> Secrets
请只把 key 放到 Secret 里,不要写进 wrangler.toml、README.md 或任何 GitHub 文件。
5. 部署后验证
部署完成后打开:
https://<your-worker>.workers.dev/health
看到 JSON 里有 "ok": true 即表示 Worker 正常运行。
测试 OpenAI 模型列表:
curl https://<your-worker>.workers.dev/v1/models
测试 Anthropic/Agent 配置说明:
curl https://<your-worker>.workers.dev/v1/setup
本地 Wrangler 手动部署
也可以在本地直接部署:
npm install -g wrangler
wrangler login
wrangler secret put UNLIMITED_SURF_API_KEY
wrangler deploy
wrangler secret put 时输入你的 unlimited.surf key。也可以不配置 Secret,而是在每次请求里传:Authorization: Bearer <key> 或 x-api-key: <key>。
OpenAI 兼容接口
Base URL:
https://<your-worker>.workers.dev/v1
支持接口:
GET /v1/modelsPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/searchPOST /v1/mergeGET /v1/key、GET /v1/usagePOST /v1/filesPOST /v1/files/extract、POST /v1/attachments/extractGET /v1/setup、GET /v1/codex、GET /v1/mcp
示例:
curl https://<your-worker>.workers.dev/v1/chat/completions \
-H "Authorization: Bearer <key>" \
-H "Content-Type: application/json" \
-d '{"model":"gateway-gpt-5","messages":[{"role":"user","content":"Hello"}],"stream":true}'
Anthropic / Claude Code 兼容接口
Base URL:
https://<your-worker>.workers.dev
支持接口:
POST /v1/messagesGET /v1/modelsPOST /anthropic/v1/messagesGET /anthropic/v1/modelsGET /v1/setup、GET /v1/codex、GET /v1/mcp
Claude Code PowerShell 示例:
$env:ANTHROPIC_BASE_URL = "https://<your-worker>.workers.dev"
$env:ANTHROPIC_AUTH_TOKEN = "<key>"
$env:ANTHROPIC_API_KEY = "<key>"
$env:ANTHROPIC_MODEL = "claude-opus-4-7-20260101"
claude
功能映射
- Chat 映射到上游
POST /api/chat。 - Web Search 在调用
/v1/search、传入web_search_options、传入query,或包含 web search tool 时映射到POST /api/search。 - Merge AI 在调用
/v1/merge、传入merge: true,或传入 2 个以上models时映射到POST /api/merge。 - Models 映射到上游
GET /api/models,如果上游不可用会返回内置 fallback 模型列表。 - Files 映射到上游
POST /api/attachments/extract。如果需要持久化文件,需要额外接入 Cloudflare KV 或 R2。 - Codex、Agent Setup、MCP 是配置说明入口;MCP 工具执行仍然发生在本地 agent/IDE 里。
- Embeddings、audio、images 会返回
501,因为当前提供的 unlimited.surf 文档中没有这些原生接口。
原始上游代理
任何 /api/* 请求都会被转发到 unlimited.surf,并自动带上配置好的 key,因此你仍然可以通过 Worker 使用原始接口。
English
This is a Cloudflare Worker adapter for https://unlimited.surf. It exposes OpenAI-compatible /v1/* routes and Anthropic/Claude Code-compatible /v1/messages plus /anthropic/* aliases.
Features
- OpenAI-compatible routes:
/v1/chat/completions,/v1/responses,/v1/models,/v1/files. - Anthropic-compatible routes:
/v1/messages,/v1/models,/anthropic/v1/messages,/anthropic/v1/models. - Raw upstream proxy:
/api/*forwards directly to unlimited.surf. - Web Search maps to upstream
POST /api/search. - Merge AI maps to upstream
POST /api/merge. - Files extraction maps to upstream
POST /api/attachments/extract. - Agent Setup, Codex, and MCP info endpoints are available at
/v1/setup,/v1/codex, and/v1/mcp.
MCP servers still run inside your local agent, IDE, Claude Code, or Codex environment. This Worker only provides the model API endpoint and does not read or modify local files from Cloudflare.
Deploy from GitHub with Cloudflare
Push this project to a GitHub repository, then let Cloudflare deploy it automatically on each commit.
1. Push to GitHub
Create a GitHub repository and push this project. Do not commit your unlimited.surf API key.
2. Connect the repository in Cloudflare
- Open the Cloudflare Dashboard.
- Go to
Workers & Pages. - Click
Create. - Choose
Import a repositoryorConnect to Git. - Authorize Cloudflare to access GitHub if prompted.
- Select the repository containing this project.
- Set Root directory to
/unless the project is in a subdirectory.
3. Build and deploy settings
Use these values:
Framework preset: None
Build command: npm install
Deploy command: npx wrangler deploy
Root directory: /
Wrangler config: wrangler.toml
If Cloudflare shows only one command field, use:
npm install && npx wrangler deploy
4. Add the Cloudflare Secret
Add this secret in the Worker settings:
UNLIMITED_SURF_API_KEY=<your unlimited.surf key>
The usual location is:
Workers & Pages -> your Worker -> Settings -> Variables -> Secrets
Keep the key in Secrets only. Do not put it in wrangler.toml, README.md, or GitHub files.
5. Verify the deployment
Open:
https://<your-worker>.workers.dev/health
You should see JSON with "ok": true.
Test OpenAI-compatible models:
curl https://<your-worker>.workers.dev/v1/models
Test Anthropic/agent setup docs:
curl https://<your-worker>.workers.dev/v1/setup
Manual deploy with Wrangler
You can also deploy from your local machine:
npm install -g wrangler
wrangler login
wrangler secret put UNLIMITED_SURF_API_KEY
wrangler deploy
Enter your unlimited.surf key when wrangler secret put prompts for it. You can also skip the secret and pass a key per request with Authorization: Bearer <key> or x-api-key: <key>.
OpenAI-compatible routes
Base URL:
https://<your-worker>.workers.dev/v1
Supported routes:
GET /v1/modelsPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/searchPOST /v1/mergeGET /v1/key,GET /v1/usagePOST /v1/filesPOST /v1/files/extract,POST /v1/attachments/extractGET /v1/setup,GET /v1/codex,GET /v1/mcp
Example:
curl https://<your-worker>.workers.dev/v1/chat/completions \
-H "Authorization: Bearer <key>" \
-H "Content-Type: application/json" \
-d '{"model":"gateway-gpt-5","messages":[{"role":"user","content":"Hello"}],"stream":true}'
Anthropic / Claude Code-compatible routes
Base URL:
https://<your-worker>.workers.dev
Supported routes:
POST /v1/messagesGET /v1/modelsPOST /anthropic/v1/messagesGET /anthropic/v1/modelsGET /v1/setup,GET /v1/codex,GET /v1/mcp
Claude Code PowerShell example:
$env:ANTHROPIC_BASE_URL = "https://<your-worker>.workers.dev"
$env:ANTHROPIC_AUTH_TOKEN = "<key>"
$env:ANTHROPIC_API_KEY = "<key>"
$env:ANTHROPIC_MODEL = "claude-opus-4-7-20260101"
claude
Feature mapping
- Chat maps to upstream
POST /api/chat. - Web Search maps to upstream
POST /api/searchwhen you call/v1/search, passweb_search_options, passquery, or include a web search tool. - Merge AI maps to upstream
POST /api/mergewhen you call/v1/merge, passmerge: true, or passmodelswith 2+ model IDs. - Models maps to upstream
GET /api/modelswith a fallback catalog if the upstream call fails. - Files maps upload/extract requests to upstream
POST /api/attachments/extract; persistent file storage requires adding KV or R2. - Codex, Agent Setup, and MCP are setup/info endpoints. MCP tool execution remains local to the client agent or IDE.
- Embeddings, audio, and images return
501because the provided unlimited.surf docs do not expose those native APIs.
Raw upstream proxy
Any /api/* request is forwarded to unlimited.surf with the configured key, so the original API remains available through the Worker.