接入文档

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxx",
    base_url="https://aiproxynode.com/v1",
)

# 通过 OpenAI 协议调任意模型
for model in ["claude-sonnet-4-6", "claude-haiku-4-5", "deepseek-chat", "deepseek-reasoner"]:
    resp = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "Hi"}],
    )
    print(model, "->", resp.choices[0].message.content)

resp = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "图里写了什么?"},
            {"type": "image_url", "image_url": {"url": "https://example.com/x.png"}},
        ],
    }],
)

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "查询某城市天气",
        "parameters": {
            "type": "object",
            "properties": {"city": {"type": "string"}},
            "required": ["city"],
        },
    },
}]

resp = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "北京天气如何?"}],
    tools=tools,
)

import anthropic

client = anthropic.Anthropic(
    api_key="sk-xxxxxx",
    base_url="https://aiproxynode.com",
)

resp = client.messages.create(
    model="claude-sonnet-4-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hi"}],
)
print(resp.content[0].text)

# 系统级永久生效(推荐)
[Environment]::SetEnvironmentVariable("ANTHROPIC_BASE_URL", "https://aiproxynode.com", "User")
[Environment]::SetEnvironmentVariable("ANTHROPIC_AUTH_TOKEN", "sk-xxxxxx", "User")
# 重启 VSCode 后生效

# 写入 ~/.zshrc 或 ~/.bashrc
export ANTHROPIC_BASE_URL="https://aiproxynode.com"
export ANTHROPIC_AUTH_TOKEN="sk-xxxxxx"
# 重启 VSCode / 终端后生效

ANTHROPIC_BASE_URL=https://aiproxynode.com \
ANTHROPIC_AUTH_TOKEN=sk-xxxxxx \
claude --model claude-sonnet-4-6

{
  "models": [
    {
      "title": "Claude Sonnet 4.6 via AiProxyNode",
      "provider": "anthropic",
      "model": "claude-sonnet-4-6",
      "apiKey": "sk-xxxxxx",
      "apiBase": "https://aiproxynode.com"
    }
  ]
}

stream = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "写一首五言绝句"}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

curl https://aiproxynode.com/v1/chat/completions \
  -H "Authorization: Bearer sk-xxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "写诗"}],
    "stream": true
  }'

curl -X POST https://aiproxynode.com/v1/videos \
  -H "Authorization: Bearer sk-xxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2-0-sr-720p",
    "prompt": "一对情侣在咖啡馆窗边对坐。女生轻笑说\"今天天气真好啊\",男生回答\"是啊,我们出去走走吧\",电影质感",
    "duration": 8,
    "ratio": "16:9",
    "generate_audio": true
  }'

curl -X POST https://aiproxynode.com/v1/videos \
  -H "Authorization: Bearer sk-xxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2-0-sr-720p",
    "prompt": "neon city street in the rain at night",
    "duration": 5,
    "generate_audio": false
  }'

curl -X POST https://aiproxynode.com/v1/videos \
  -H "Authorization: Bearer sk-xxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2-0-sr-720p",
    "prompt": "a calm beach scene, gentle waves",
    "duration": 5,
    "images": [
      "https://cdn.example.com/scene1.jpg",
      "https://cdn.example.com/scene2.jpg"
    ]
  }'

curl -X POST https://aiproxynode.com/v1/videos \
  -H "Authorization: Bearer sk-xxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2-0-sr-1080p",
    "prompt": "smooth transition from day to night",
    "duration": 8,
    "images": [
      {"url": "https://cdn.example.com/day.jpg",   "role": "first_frame"},
      {"url": "https://cdn.example.com/night.jpg", "role": "last_frame"}
    ]
  }'

{
  "model": "seedance-2-0-sr-720p",
  "prompt": "..., 一个温柔的女声轻声说道",
  "audios": ["https://cdn.example.com/voice_sample.wav"]
}

{
  "audios": [
    {"url": "https://cdn.example.com/voice_sample.wav", "role": "reference_audio"}
  ]
}

{
  "id": "task_xxxxxxxxxxxxxxxxxxxxxxxx",
  "task_id": "task_xxxxxxxxxxxxxxxxxxxxxxxx",
  "object": "video",
  "model": "seedance-2-0-sr-720p",
  "status": "in_progress",
  "progress": 0,
  "created_at": 1782628820
}

curl https://aiproxynode.com/v1/videos/task_xxxxxxxxxxxxxxxxxxxxxxxx \
  -H "Authorization: Bearer sk-xxxxxx"

{
  "id": "task_xxx",
  "task_id": "kz-cgt-...",
  "object": "video",
  "model": "seedance-2-0-sr-720p",
  "status": "completed",
  "progress": 100,
  "created_at": 1782628820,
  "completed_at": 1782629100,
  "metadata": {
    "url": "https://bk-hs-p-bj-lizhen.tos-cn-beijing.volces.com/.../xxx_output.mp4"
  }
}

import time, requests

API = "https://aiproxynode.com"
TOKEN = "sk-xxxxxx"  # seedance 分组下的 token
H = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

r = requests.post(f"{API}/v1/videos", headers=H, json={
    "model": "seedance-2-0-sr-720p",
    "prompt": '一只猫在沙滩漫步,海浪声轻拍。猫"喵"地叫了一声',
    "duration": 5,
    "ratio": "16:9",
    "generate_audio": True,
}).json()
tid = r["id"]

while True:
    s = requests.get(f"{API}/v1/videos/{tid}", headers=H, timeout=30).json()
    if s["status"] == "completed":
        print(s["metadata"]["url"]); break
    if s["status"] == "failed":
        raise RuntimeError(s.get("error"))
    time.sleep(10)