Proxy Station
註冊

連接您的工具

把您已在使用的編輯器或 CLI 指向這個端點。無需安裝應用 —— 一個 base URL、一把金鑰，以及一條證明可用的指令。

兩個 base URL，一把金鑰

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

這個差別不是裝飾。OpenAI 形態的用戶端會在您給出的位址後追加 /chat/completions，因此需要帶版本的路徑；Claude Code 與 Anthropic SDK 會自己追加 /v1/messages，因此需要裸 origin。搞反了會產生 /v1/v1/messages 並回傳 404 —— 而多數用戶端會把它報成連線失敗，而不是路徑錯誤。

終端

Claude Code

https://proxystation.co

安裝

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

設定~/.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"
  }
}

開啟前先驗證

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"}]}'

預期： 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

安裝

npm install -g @openai/codex

設定~/.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"

開啟前先驗證

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"}'

預期： 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

安裝

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

設定~/.aider.conf.yml

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

aider --model openai/gpt-5.6-luna

開啟前先驗證

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

預期： 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.

編輯器與擴充功能

Continue

https://proxystation.co/v1

安裝

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

設定~/.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 }}

開啟前先驗證

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}'

預期： 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

安裝

Install the Cline extension from the VS Code marketplace.

設定~/.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.

開啟前先驗證

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}'

預期： 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

安裝

Cursor itself is the editor; nothing extra to install.

設定

Settings → Models → API Keys

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

Then press Verify.

開啟前先驗證

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}'

預期： 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

安裝

pip install openai · npm install openai

設定

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")

開啟前先驗證

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

預期： 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

安裝

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

設定

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")

開啟前先驗證

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"}]}'

預期： 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.

本頁每一項設定都已於 2026-08-30 針對該端點驗證，且上面每條驗證指令都實際執行過。工具會變：Codex 今年移除了 Chat Completions 支援。若某項不再相符，驗證指令就是告訴您的那個。

本站也在多個區域入口提供服務。它們使用同一把金鑰，但狀態頁公布的可用率與延遲只針對本 origin 測量 —— 那些數字並不描述其他入口。

API 參考模型狀態