接入指引

npm i -g @openai/codex

model_provider = "dataroute"
model = "从模型价格页复制"
model_reasoning_effort = "medium"
disable_response_storage = true

[model_providers.dataroute]
name = "DataRoute"
base_url = "https://api.dataroute.cc/v1"
wire_api = "responses"
requires_openai_auth = true

{
  "OPENAI_API_KEY": "sk-你的令牌"
}

codex

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

curl -fsSL https://claude.ai/install.sh | bash

export ANTHROPIC_BASE_URL="https://api.dataroute.cc"
export ANTHROPIC_AUTH_TOKEN="sk-你的令牌"
export CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1
claude

$env:ANTHROPIC_BASE_URL="https://api.dataroute.cc"
$env:ANTHROPIC_AUTH_TOKEN="sk-你的令牌"
$env:CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC="1"
claude

{
  "env": {
    "ANTHROPIC_BASE_URL": "https://api.dataroute.cc",
    "ANTHROPIC_AUTH_TOKEN": "sk-你的令牌",
    "CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC": "1",
    "CLAUDE_CODE_ATTRIBUTION_HEADER": "0"
  }
}

{
  "provider": {
    "openai": {
      "options": {
        "baseURL": "https://api.dataroute.cc/v1",
        "apiKey": "sk-你的令牌"
      },
      "models": {
        "从模型价格页复制": {
          "name": "DataRoute 模型",
          "options": {
            "store": false
          }
        }
      }
    }
  }
}

{
  "provider": "openai",
  "base_url": "https://api.dataroute.cc",
  "api": "openai-completions",
  "api_key": "sk-你的令牌",
  "model": {
    "id": "从模型价格页复制",
    "name": "DataRoute 模型"
  }
}

{
  "models": {
    "mode": "merge",
    "providers": {
      "dataroute": {
        "baseUrl": "https://api.dataroute.cc/v1",
        "api": "openai-responses",
        "apiKey": "sk-你的令牌",
        "models": [
          {
            "id": "从模型价格页复制",
            "name": "从模型价格页复制",
            "reasoning": false,
            "input": ["text"],
            "contextWindow": 128000,
            "maxTokens": 4096
          }
        ]
      }
    }
  }
}

export GOOGLE_GEMINI_BASE_URL="https://api.dataroute.cc"

export GEMINI_API_KEY="sk-你的令牌"

gemini

pip install openai

from openai import OpenAI

client = OpenAI(
    api_key="sk-你的令牌",
    base_url="https://api.dataroute.cc/v1",
)

resp = client.chat.completions.create(
    model="grok-4.5",
    messages=[{"role": "user", "content": "ping, reply with pong only"}],
    max_tokens=32,
)
print(resp.choices[0].message.content)

pip install requests

import requests

url = "https://api.dataroute.cc/v1/chat/completions"
headers = {
    "Authorization": "Bearer sk-你的令牌",
    "Content-Type": "application/json",
}
payload = {
    "model": "grok-4.5",
    "messages": [{"role": "user", "content": "ping, reply with pong only"}],
    "max_tokens": 32,
}

r = requests.post(url, headers=headers, json=payload, timeout=90)
r.raise_for_status()
print(r.json()["choices"][0]["message"]["content"])

curl https://api.dataroute.cc/v1/chat/completions \
  -H "Authorization: Bearer sk-你的令牌" \
  -H "Content-Type: application/json" \
  -d '{"model":"grok-4.5","messages":[{"role":"user","content":"ping, reply with pong only"}],"max_tokens":32}'

pip install openai

from openai import OpenAI

client = OpenAI(
    api_key="sk-你的令牌",
    base_url="https://api.dataroute.cc/v1",
)

resp = client.chat.completions.create(
    model="从模型价格页复制",
    messages=[{"role": "user", "content": "ping, reply with pong only"}],
    max_tokens=32,
)
print(resp.choices[0].message.content)

pip install requests

import requests

url = "https://api.dataroute.cc/v1/chat/completions"
headers = {
    "Authorization": "Bearer sk-你的令牌",
    "Content-Type": "application/json",
}
payload = {
    "model": "从模型价格页复制",
    "messages": [{"role": "user", "content": "ping, reply with pong only"}],
    "max_tokens": 32,
}

r = requests.post(url, headers=headers, json=payload, timeout=90)
r.raise_for_status()
print(r.json()["choices"][0]["message"]["content"])

curl https://api.dataroute.cc/v1/chat/completions \
  -H "Authorization: Bearer sk-你的令牌" \
  -H "Content-Type: application/json" \
  -d '{"model":"从模型价格页复制","messages":[{"role":"user","content":"ping, reply with pong only"}],"max_tokens":32}'

curl https://api.dataroute.cc/v1/images/generations \
  -H "Authorization: Bearer sk-你的令牌" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-image-2","prompt":"a cat sitting on a windowsill","size":"2048x2048"}'

mkdir -p ~/.codex/model-catalogs

# 用官方内置模型当模板（带齐 base_instructions 等必填字段）
codex debug models --bundled > /tmp/_codex_tpl.json

# 拉取本站可调用模型（把 sk-你的令牌 换成真实 Key）
curl -sS -H "Authorization: Bearer sk-你的令牌" \
  "https://api.dataroute.cc/v1/models" > /tmp/_dataroute_models.json

python3 - <<'PY' > ~/.codex/model-catalogs/dataroute.json
import json, sys
tpl = json.load(open("/tmp/_codex_tpl.json"))["models"][0]
api = json.load(open("/tmp/_dataroute_models.json")).get("data") or []
# 跳过明显非对话模型，可按需改过滤条件
skip = ("image", "tts", "whisper", "embedding", "moderation")
out = []
for i, m in enumerate(api):
    slug = (m.get("id") or "").strip()
    if not slug or any(s in slug.lower() for s in skip):
        continue
    e = dict(tpl)
    e["slug"] = slug
    e["display_name"] = slug
    e["description"] = f"{slug} (via DataRoute)"
    e["visibility"] = "list"
    e["supported_in_api"] = True
    e["priority"] = i
    e["availability_nux"] = None
    e["upgrade"] = None
    out.append(e)
json.dump({"models": out}, sys.stdout, ensure_ascii=False, indent=2)
print(f"generated {len(out)} models", file=sys.stderr)
PY

model = "gpt-5.4-mini"
model_provider = "dataroute"
model_catalog_json = "~/.codex/model-catalogs/dataroute.json"
model_reasoning_effort = "medium"

[model_providers.dataroute]
name = "DataRoute"
base_url = "https://api.dataroute.cc/v1"
wire_api = "responses"

codex

/model

codex debug models