"AI代理模式完全指南：一个API密钥访问300+模型"

from openai import OpenAI

# 只需要一个API密钥
client = OpenAI(
    api_key="your-crazyrouter-key",
    base_url="https://api.crazyrouter.com/v1"
)

# 调用 GPT-5.2
gpt_response = client.chat.completions.create(
    model="gpt-5.2",
    messages=[{"role": "user", "content": "用Python写一个快速排序算法"}]
)
print("GPT-5.2:", gpt_response.choices[0].message.content)

# 调用 Claude Opus 4.5 — 同一个client，换个模型名
claude_response = client.chat.completions.create(
    model="claude-opus-4-5-20251101",
    messages=[{"role": "user", "content": "用Python写一个快速排序算法"}]
)
print("Claude:", claude_response.choices[0].message.content)

# 调用 Gemini 3 Pro — 还是同一个client
gemini_response = client.chat.completions.create(
    model="gemini-3-pro-preview",
    messages=[{"role": "user", "content": "用Python写一个快速排序算法"}]
)
print("Gemini:", gemini_response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-crazyrouter-key',
  baseURL: 'https://api.crazyrouter.com/v1'
});

// 流式输出
const stream = await client.chat.completions.create({
  model: 'deepseek-v3.2',
  messages: [
    { role: 'user', content: '解释什么是微服务架构' }
  ],
  stream: true
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
}

curl https://api.crazyrouter.com/v1/chat/completions \
  -H "Authorization: Bearer your-crazyrouter-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.2",
    "messages": [{"role": "user", "content": "你好，请介绍一下自己"}],
    "stream": true
  }'

models = ["gpt-5.2", "claude-sonnet-4-5-20250929", "gemini-3-pro-preview", "deepseek-v3.2"]
prompt = "写一段关于人工智能未来的短文"

for model in models:
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": prompt}],
        max_tokens=500
    )
    print(f"\n--- {model} ---")
    print(response.choices[0].message.content[:200])

def smart_route(task_type: str, content: str) -> str:
    """根据任务类型选择最佳模型"""
    model_map = {
        "writing": "claude-opus-4-5-20251101",     # 写作用Claude
        "coding": "gpt-5.2",                        # 编程用GPT-5
        "analysis": "gemini-3-pro-preview",          # 分析用Gemini（大上下文）
        "quick_qa": "deepseek-v3.2",                 # 简单问答用DeepSeek（便宜）
        "chinese": "MiniMax-M2",                     # 中文任务用MiniMax
    }

    model = model_map.get(task_type, "gpt-5.2")

    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": content}]
    )
    return response.choices[0].message.content

def call_with_fallback(messages, models=None):
    """带故障转移的API调用"""
    if models is None:
        models = ["gpt-5.2", "claude-sonnet-4-5-20250929", "gemini-2.5-flash"]

    for model in models:
        try:
            response = client.chat.completions.create(
                model=model,
                messages=messages,
                timeout=30
            )
            return response.choices[0].message.content
        except Exception as e:
            print(f"{model} 失败: {e}，尝试下一个模型...")

    raise Exception("所有模型都失败了")