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curl /v1/chat/completions \
  -H "Authorization: Bearer sk-你的密钥" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "你好，请介绍一下你自己"}
    ],
    "stream": true
  }'

from openai import OpenAI

client = OpenAI(
    api_key="sk-你的密钥",
    base_url="/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "你好"}
    ],
    stream=True
)

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

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: 'sk-你的密钥',
    baseURL: '/v1'
});

const stream = await client.chat.completions.create({
    model: 'gpt-4o',
    messages: [{ role: 'user', content: '你好' }],
    stream: true
});

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

# Claude Code 设置环境变量即可
export ANTHROPIC_BASE_URL=export ANTHROPIC_API_KEY=sk-你的密钥

# 或使用 Python SDK
import anthropic

client = anthropic.Anthropic(
    api_key="sk-你的密钥",
    base_url=""
)

message = client.messages.create(
    model="claude-3.5-sonnet",
    max_tokens=1024,
    messages=[{"role": "user", "content": "你好"}]
)
print(message.content[0].text)