Stepfun-阶跃星辰

示例代码

from openai import OpenAI
import os

# 初始化OpenAI客户端
client = OpenAI(
    # 如果没有配置环境变量，请用阿里云百炼API Key替换：api_key="sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)

messages = [{"role": "user", "content": "9.9和9.11哪个大？"}]
completion = client.chat.completions.create(
    model="stepfun/step-3.7-flash",
    messages=messages,
    stream=True,
    stream_options={
        "include_usage": True
    },
    extra_body={
        "enable_thinking": True
    }
)

reasoning_content = ""  # 完整思考过程
answer_content = ""  # 完整回复
is_answering = False  # 是否进入回复阶段
print("\n" + "=" * 20 + "思考过程" + "=" * 20 + "\n")

for chunk in completion:
    if not chunk.choices:
        print("\n" + "=" * 20 + "Token 消耗" + "=" * 20 + "\n")
        print(chunk.usage)
        continue

    delta = chunk.choices[0].delta

    # 只收集思考内容
    if hasattr(delta, "reasoning_content") and delta.reasoning_content is not None:
        if not is_answering:
            print(delta.reasoning_content, end="", flush=True)
        reasoning_content += delta.reasoning_content

    # 收到content，开始进行回复
    if hasattr(delta, "content") and delta.content:
        if not is_answering:
            print("\n" + "=" * 20 + "完整回复" + "=" * 20 + "\n")
            is_answering = True
        print(delta.content, end="", flush=True)
        answer_content += delta.content

返回结果

====================思考过程====================

好的，用户问的是9.9和9.11哪个大。首先我需要比较这两个小数。
9.9可以写成9.90，而9.11就是9.11。
比较小数部分：90 > 11，所以9.9 > 9.11。
====================完整回复====================

9.9 更大。

将两个数对齐小数位：9.9 = 9.90，而 9.11 = 9.11。比较小数部分，0.90 > 0.11，因此 **9.9 > 9.11**。
====================Token 消耗====================

CompletionUsage(completion_tokens=85, prompt_tokens=10, total_tokens=95, prompt_tokens_details={'cached_tokens': 0})

示例代码

import OpenAI from "openai";
import process from 'process';

// 初始化OpenAI客户端
const openai = new OpenAI({
    // 如果没有配置环境变量，请用阿里云百炼API Key替换：apiKey: "sk-xxx"
    apiKey: process.env.DASHSCOPE_API_KEY,
    baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1'
});

let reasoningContent = ''; // 完整思考过程
let answerContent = ''; // 完整回复
let isAnswering = false; // 是否进入回复阶段

async function main() {
    try {
        const messages = [{ role: 'user', content: '9.9和9.11哪个大？' }];

        const stream = await openai.chat.completions.create({
            model: 'stepfun/step-3.7-flash',
            messages,
            stream: true,
            stream_options: {
                include_usage: true
            },
            enable_thinking: true
        });

        console.log('\n' + '='.repeat(20) + '思考过程' + '='.repeat(20) + '\n');

        for await (const chunk of stream) {
            if (!chunk.choices?.length) {
                console.log('\n' + '='.repeat(20) + 'Token 消耗' + '='.repeat(20) + '\n');
                console.log(chunk.usage);
                continue;
            }

            const delta = chunk.choices[0].delta;

            // 只收集思考内容
            if (delta.reasoning_content !== undefined && delta.reasoning_content !== null) {
                if (!isAnswering) {
                    process.stdout.write(delta.reasoning_content);
                }
                reasoningContent += delta.reasoning_content;
            }

            // 收到content，开始进行回复
            if (delta.content !== undefined && delta.content) {
                if (!isAnswering) {
                    console.log('\n' + '='.repeat(20) + '完整回复' + '='.repeat(20) + '\n');
                    isAnswering = true;
                }
                process.stdout.write(delta.content);
                answerContent += delta.content;
            }
        }
    } catch (error) {
        console.error('Error:', error);
    }
}

main();

返回结果

====================思考过程====================

好的，用户问的是9.9和9.11哪个大。首先我需要比较这两个小数。
9.9可以写成9.90，而9.11就是9.11。
比较小数部分：90 > 11，所以9.9 > 9.11。
====================完整回复====================

9.9 更大。

将两个数对齐小数位：9.9 = 9.90，而 9.11 = 9.11。比较小数部分，0.90 > 0.11，因此 **9.9 > 9.11**。
====================Token 消耗====================

{ prompt_tokens: 10, completion_tokens: 85, total_tokens: 95, prompt_tokens_details: { cached_tokens: 0 } }

示例代码

curl -X POST https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "stepfun/step-3.7-flash",
    "messages": [
        {
            "role": "user",
            "content": "9.9和9.11哪个大？"
        }
    ],
    "stream": true,
    "stream_options": {
        "include_usage": true
    },
    "enable_thinking": true
}'