连接您的工具

把您已经在用的编辑器或 CLI 指向这个端点。无需安装应用 —— 一个 base URL、一个密钥，以及一条证明它可用的命令。

两个 base URL，一个密钥

OpenAI-compatiblethe client appends /chat/completions: https://proxystation.co/v1
Anthropic-compatiblethe client appends /v1/messages itself: https://proxystation.co

这个差别不是装饰。OpenAI 形态的客户端会在您给出的地址后追加 /chat/completions，因此需要带版本的路径；Claude Code 与 Anthropic SDK 会自己追加 /v1/messages，因此需要裸 origin。搞反了会产生 /v1/v1/messages 并返回 404 —— 而多数客户端会把它报成连接失败，而不是路径错误。

终端

Claude Code

https://proxystation.co

安装

npm install -g @anthropic-ai/claude-code

配置~/.claude/settings.json

export ANTHROPIC_BASE_URL=https://proxystation.co
export ANTHROPIC_AUTH_TOKEN=sk-XXXXXXXXXXXXXXXX

# Persist it in ~/.claude/settings.json instead of your shell profile:
{
  "env": {
    "ANTHROPIC_BASE_URL": "https://proxystation.co",
    "ANTHROPIC_AUTH_TOKEN": "sk-XXXXXXXXXXXXXXXX"
  }
}

打开前先验证

curl -X POST "https://proxystation.co/v1/messages" \
  -H "Authorization: Bearer sk-XXXXXXXXXXXXXXXX" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{"model":"claude-sonnet-5","max_tokens":8,"messages":[{"role":"user","content":"ok"}]}'

预期： A body starting {"id":"msg_… — the URL and the credential both work.

No /v1 in the base URL. Claude Code appends /v1/messages itself; adding it yields /v1/v1/messages, which this endpoint answers 404.
ANTHROPIC_AUTH_TOKEN and ANTHROPIC_API_KEY both work here — tested. Prefer AUTH_TOKEN: API_KEY triggers a one-time approval prompt in interactive sessions, and if it was ever declined the key is ignored with no error.
A value in ~/.claude/settings.json BEATS a shell export, which is the opposite of what most people expect. A stale entry there will quietly override a fresh export.
Setting only the base URL does not switch billing. Without a credential variable a saved claude.ai login stays active — run /status inside the CLI and check it names an auth token, not a login method.

Codex CLI

https://proxystation.co/v1

安装

npm install -g @openai/codex

配置~/.codex/config.toml

# 1. Put the key in your shell, under the name config.toml will reference:
export PROXYSTATION_API_KEY=sk-XXXXXXXXXXXXXXXX

# 2. ~/.codex/config.toml
model_provider = "proxystation"
model = "gpt-5.6-luna"

[model_providers.proxystation]
name = "proxystation"
base_url = "https://proxystation.co/v1"
env_key = "PROXYSTATION_API_KEY"
wire_api = "responses"

打开前先验证

curl -X POST "https://proxystation.co/v1/responses" \
  -H "Authorization: Bearer sk-XXXXXXXXXXXXXXXX" \
  -H "content-type: application/json" \
  -d '{"model":"gpt-5.6-luna","input":"ok"}'

预期： A body with "status":"completed" — the Responses API is what Codex speaks.

wire_api accepts only "responses". Chat Completions support was removed from Codex; a config that names it will not start.
env_key names an environment variable, it does not hold the key. The string here must match the variable you exported, or Codex reports no credential.
The base URL keeps /v1 here, unlike Claude Code above. Same key, same host, different string.

aider

https://proxystation.co/v1

安装

python -m pip install aider-install && aider-install

配置~/.aider.conf.yml

export OPENAI_API_BASE=https://proxystation.co/v1
export OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXX

aider --model openai/gpt-5.6-luna

打开前先验证

curl "https://proxystation.co/v1/models" -H "Authorization: Bearer sk-XXXXXXXXXXXXXXXX"

预期： A JSON list under "data" — aider reads the same catalogue.

OPENAI_API_BASE, not OPENAI_BASE_URL. aider passes the value to litellm, which uses the API_BASE name.
The model needs the openai/ prefix so litellm routes it to the OpenAI-compatible client rather than guessing the vendor from the name.

编辑器与扩展

Continue

https://proxystation.co/v1

安装

Install the Continue extension from the VS Code or JetBrains marketplace.

配置~/.continue/config.yaml

# ~/.continue/.env
PROXYSTATION_API_KEY=sk-XXXXXXXXXXXXXXXX

# ~/.continue/config.yaml
models:
  - name: Proxy Station
    provider: openai
    model: gpt-5.6-luna
    apiBase: https://proxystation.co/v1
    apiKey: ${{ secrets.PROXYSTATION_API_KEY }}

打开前先验证

curl -X POST "https://proxystation.co/v1/chat/completions" \
  -H "Authorization: Bearer sk-XXXXXXXXXXXXXXXX" \
  -H "content-type: application/json" \
  -d '{"model":"gpt-5.6-luna","messages":[{"role":"user","content":"ok"}],"max_tokens":8}'

预期： A body with "choices" — the same call the extension makes.

apiBase keeps /v1 even when you set provider: anthropic. Continue appends only the method path, unlike the Anthropic SDK.
The same config.yaml is read by the VS Code extension, the JetBrains plugin and the cn CLI — configure once.

Cline

https://proxystation.co/v1

安装

Install the Cline extension from the VS Code marketplace.

配置~/.cline/data/settings/providers.json

In the extension: Settings → API Provider → OpenAI Compatible

  Base URL   https://proxystation.co/v1
  API Key    sk-XXXXXXXXXXXXXXXX
  Model ID   gpt-5.6-luna

The CLI and the extension share ~/.cline/data/settings/providers.json.

打开前先验证

curl -X POST "https://proxystation.co/v1/chat/completions" \
  -H "Authorization: Bearer sk-XXXXXXXXXXXXXXXX" \
  -H "content-type: application/json" \
  -d '{"model":"gpt-5.6-luna","messages":[{"role":"user","content":"ok"}],"max_tokens":8}'

预期： A body with "choices" before you touch the extension at all.

There is no VS Code settings.json key for this. Settings named cline.openAiCompatible.* do not exist — configure it in the extension panel.
Choose the "OpenAI Compatible" provider, not "OpenAI". The plain OpenAI provider ignores a custom base URL.

Cursor

https://proxystation.co/v1

安装

Cursor itself is the editor; nothing extra to install.

配置

Settings → Models → API Keys

  Override OpenAI Base URL    https://proxystation.co/v1
  OpenAI API Key              sk-XXXXXXXXXXXXXXXX

Then press Verify.

打开前先验证

curl -X POST "https://proxystation.co/v1/chat/completions" \
  -H "Authorization: Bearer sk-XXXXXXXXXXXXXXXX" \
  -H "content-type: application/json" \
  -d '{"model":"gpt-5.6-luna","messages":[{"role":"user","content":"ok"}],"max_tokens":8}'

预期： A body with "choices". Cursor keeps the key in secure storage, so this curl is the only way to check the endpoint separately from the editor.

No environment variable and no config file. The key lives in Cursor’s secure storage, so there is nothing to edit by hand and nothing to commit by accident.
Add the model id to the model list first, or the override has nothing to apply to.

SDK

OpenAI SDK

https://proxystation.co/v1

安装

pip install openai · npm install openai

配置

export OPENAI_BASE_URL=https://proxystation.co/v1
export OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXX

# or in code
from openai import OpenAI
client = OpenAI(api_key="sk-XXXXXXXXXXXXXXXX", base_url="https://proxystation.co/v1")

打开前先验证

curl "https://proxystation.co/v1/models" -H "Authorization: Bearer sk-XXXXXXXXXXXXXXXX"

预期： A JSON list under "data".

OPENAI_BASE_URL ends in /v1. The SDK appends /chat/completions to whatever you give it.

Anthropic SDK

https://proxystation.co

安装

pip install anthropic · npm install @anthropic-ai/sdk

配置

export ANTHROPIC_BASE_URL=https://proxystation.co
export ANTHROPIC_API_KEY=sk-XXXXXXXXXXXXXXXX

# or in code — note the base URL carries no /v1
from anthropic import Anthropic
client = Anthropic(api_key="sk-XXXXXXXXXXXXXXXX", base_url="https://proxystation.co")

打开前先验证

curl -X POST "https://proxystation.co/v1/messages" \
  -H "x-api-key: sk-XXXXXXXXXXXXXXXX" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{"model":"claude-sonnet-5","max_tokens":8,"messages":[{"role":"user","content":"ok"}]}'

预期： A body starting {"id":"msg_…

No /v1 here. The SDK adds it, and a base URL that already carries one produces /v1/v1/messages — a 404.

本页每一项配置都已于 2026-08-30 针对该端点验证，且上面每条验证命令都实际运行过。工具会变：Codex 今年移除了 Chat Completions 支持。若某项不再匹配，验证命令就是告诉您的那个。

本站也在多个区域入口提供服务。它们使用同一密钥，但状态页公布的可用率与延迟只针对本 origin 测量 —— 那些数字并不描述其他入口。

API 参考模型状态