流式输出

Python
JavaScript
curl

import anthropic

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://www.cheapertoken.work")

with client.messages.stream(
    model="claude-opus-4-7",
    max_tokens=1024,
    messages=[{"role": "user", "content": "写一首关于冬天的诗"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://www.cheapertoken.work" });

const stream = await client.messages.stream({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  messages: [{ role: "user", content: "写一首关于冬天的诗" }],
});

for await (const text of stream.textStream) {
  process.stdout.write(text);
}

curl https://www.cheapertoken.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "stream": true,
    "messages": [{"role": "user", "content": "写一首关于冬天的诗"}]
  }'

获取最终结果

Python
JavaScript
curl

import anthropic

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://www.cheapertoken.work")

with client.messages.stream(
    model="claude-opus-4-7",
    max_tokens=1024,
    messages=[{"role": "user", "content": "你好"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

    # 流结束后获取完整消息对象
    final_message = stream.get_final_message()
    print(f"\n总 Token 数: {final_message.usage.input_tokens + final_message.usage.output_tokens}")

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://www.cheapertoken.work" });

const stream = await client.messages.stream({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  messages: [{ role: "user", content: "你好" }],
});

for await (const text of stream.textStream) {
  process.stdout.write(text);
}

const finalMessage = await stream.getFinalMessage();
console.log(`\n总 Token 数: ${finalMessage.usage.input_tokens + finalMessage.usage.output_tokens}`);

# SSE 流式响应，每行以 data: 开头，最后一个事件包含 usage 信息
curl https://www.cheapertoken.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "stream": true,
    "messages": [{"role": "user", "content": "你好"}]
  }'

异步流式输出

Python
JavaScript
curl

import asyncio
import anthropic

client = anthropic.AsyncAnthropic(api_key="your-api-key", base_url="https://www.cheapertoken.work")

async def main():
    async with client.messages.stream(
        model="claude-opus-4-7",
        max_tokens=1024,
        messages=[{"role": "user", "content": "写一首诗"}],
    ) as stream:
        async for text in stream.text_stream:
            print(text, end="", flush=True)

asyncio.run(main())

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://www.cheapertoken.work" });

// Node.js 中 top-level await 即可，无需额外封装
const stream = await client.messages.stream({
  model: "claude-opus-4-7",
  max_tokens: 1024,
  messages: [{ role: "user", content: "写一首诗" }],
});

for await (const text of stream.textStream) {
  process.stdout.write(text);
}

curl https://www.cheapertoken.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 1024,
    "stream": true,
    "messages": [{"role": "user", "content": "写一首诗"}]
  }'

获取最终结果​

异步流式输出​

获取最终结果

异步流式输出