Responses API

import OpenAI from "openai";

const openai = new OpenAI({
    apiKey: "YOUR_STEP_API_KEY",
    baseURL: "https://api.stepfun.com/v1"
});

const tools = [{
    type: "function",
    name: "get_weather",
    description: "获取指定城市的当前天气",
    parameters: {
        type: "object",
        properties: { city: { type: "string", description: "城市名称" } },
        required: ["city"]
    },
    strict: true
}];

// 第一轮：模型发起 function_call
const r1 = await openai.responses.create({
    model: "step-3.7-flash",
    input: [{ role: "user", content: "北京今天天气怎么样？" }],
    tools,
    tool_choice: "auto"
});
const fc = r1.output.find(o => o.type === "function_call");

// 客户端执行工具（此处用 mock 数据演示）
const toolResult = '{"temperature":22,"weather":"晴","humidity":45}';

// 第二轮：回传 function_call 与 function_call_output
const r2 = await openai.responses.create({
    model: "step-3.7-flash",
    input: [
        { role: "user", content: "北京今天天气怎么样？" },
        {
            type: "function_call",
            id: fc.id,
            call_id: fc.call_id,
            name: fc.name,
            arguments: fc.arguments
        },
        {
            type: "function_call_output",
            call_id: fc.call_id,
            output: toolResult
        }
    ],
    tools
});
console.log(r2.output_text);

# 第一轮：模型发起 function_call
curl https://api.stepfun.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $STEP_API_KEY" \
  -d '{
    "model": "step-3.7-flash",
    "input": [{ "role": "user", "content": "北京今天天气怎么样？" }],
    "tools": [{
      "type": "function",
      "name": "get_weather",
      "description": "获取指定城市的当前天气",
      "parameters": {
        "type": "object",
        "properties": { "city": { "type": "string", "description": "城市名称" } },
        "required": ["city"]
      },
      "strict": true
    }],
    "tool_choice": "auto"
  }'

# 第二轮：回传 function_call 与 function_call_output（call_id 用上一轮返回的值）
curl https://api.stepfun.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $STEP_API_KEY" \
  -d '{
    "model": "step-3.7-flash",
    "input": [
      { "role": "user", "content": "北京今天天气怎么样？" },
      {
        "type": "function_call",
        "id": "fc_xxxxxxxxxxxxxxxx",
        "call_id": "call_xxxxxxxxxxxxxxxx",
        "name": "get_weather",
        "arguments": "{\"city\":\"北京\"}"
      },
      {
        "type": "function_call_output",
        "call_id": "call_xxxxxxxxxxxxxxxx",
        "output": "{\"temperature\":22,\"weather\":\"晴\",\"humidity\":45}"
      }
    ],
    "tools": [{
      "type": "function",
      "name": "get_weather",
      "parameters": {
        "type": "object",
        "properties": { "city": { "type": "string" } },
        "required": ["city"]
      },
      "strict": true
    }]
  }'

import OpenAI from "openai";

const openai = new OpenAI({
    apiKey: "YOUR_STEP_API_KEY",
    baseURL: "https://api.stepfun.com/v1"
});

// 加载图片到内存，仅演示。按需改成读文件等
async function loadImage(url) {
    const res = await fetch(url);
    const blob = await res.blob();
    const buffer = Buffer.from(await blob.arrayBuffer());
    return "data:" + blob.type + ";base64," + buffer.toString("base64");
}

const imageDataUrl = await loadImage("https://www.stepfun.com/assets/section-1-CTe4nZiO.webp");

const response = await openai.responses.create({
    model: "step-3.7-flash",
    input: [{
        role: "user",
        content: [
            { type: "input_text", text: "描述这张图片的内容" },
            { type: "input_image", image_url: imageDataUrl }
        ]
    }]
});
console.log(response.output_text);

# 加载图片到内存，仅演示。按需改成读文件等
image_base64="data:image/webp;base64,"$(curl -s "https://www.stepfun.com/assets/section-1-CTe4nZiO.webp" | base64)

curl https://api.stepfun.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $STEP_API_KEY" \
  -d "{
    \"model\": \"step-3.7-flash\",
    \"input\": [
      {
        \"role\": \"user\",
        \"content\": [
          { \"type\": \"input_text\", \"text\": \"描述这张图片的内容\" },
          { \"type\": \"input_image\", \"image_url\": \"${image_base64}\" }
        ]
      }
    ]
  }"

import OpenAI from "openai";

const openai = new OpenAI({
    apiKey: "YOUR_STEP_API_KEY",
    baseURL: "https://api.stepfun.com/v1"
});

const response = await openai.responses.create({
    model: "step-3.7-flash",
    input: [{
        role: "user",
        content: [
            { type: "input_text", text: "请概括这个视频里的主要内容" },
            { type: "input_video", video_url: { url: "https://example.com/demo.mp4", detail: "low" } }
        ]
    }]
});
console.log(response.output_text);

curl https://api.stepfun.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $STEP_API_KEY" \
  -d '{
    "model": "step-3.7-flash",
    "input": [
      {
        "role": "user",
        "content": [
          { "type": "input_text", "text": "请概括这个视频里的主要内容" },
          { "type": "input_video", "video_url": {"url": "https://example.com/demo.mp4", "detail": "low"} }
        ]
      }
    ]
  }'

import OpenAI from "openai";

const openai = new OpenAI({
    apiKey: "YOUR_STEP_API_KEY",
    baseURL: "https://api.stepfun.com/v1"
});

const response = await openai.responses.create({
    model: "step-3.7-flash",
    input: "分析句子情感：这部电影太精彩了，强烈推荐！",
    text: {
        format: {
            type: "json_schema",
            name: "sentiment_analysis",
            strict: true,
            schema: {
                type: "object",
                properties: {
                    sentiment: { type: "string", enum: ["positive", "negative", "neutral"] },
                    confidence: { type: "number" },
                    keywords: { type: "array", items: { type: "string" } }
                },
                required: ["sentiment", "confidence", "keywords"],
                additionalProperties: false
            }
        }
    }
});
console.log(response.output_text);

curl https://api.stepfun.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $STEP_API_KEY" \
  -d '{
    "model": "step-3.7-flash",
    "input": "分析句子情感：这部电影太精彩了，强烈推荐！",
    "text": {
      "format": {
        "type": "json_schema",
        "name": "sentiment_analysis",
        "strict": true,
        "schema": {
          "type": "object",
          "properties": {
            "sentiment": { "type": "string", "enum": ["positive", "negative", "neutral"] },
            "confidence": { "type": "number" },
            "keywords": { "type": "array", "items": { "type": "string" } }
          },
          "required": ["sentiment", "confidence", "keywords"],
          "additionalProperties": false
        }
      }
    }
  }'

import OpenAI from "openai";

const openai = new OpenAI({
    apiKey: "YOUR_STEP_API_KEY",
    baseURL: "https://api.stepfun.com/v1"
});

const stream = await openai.responses.create({
    model: "step-3.7-flash",
    input: "写一首关于春天的五言绝句",
    stream: true
});

for await (const event of stream) {
    if (event.type === "response.output_text.delta") {
        process.stdout.write(event.delta);
    }
}
process.stdout.write("\n");

curl https://api.stepfun.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $STEP_API_KEY" \
  -d '{
    "model": "step-3.7-flash",
    "input": "写一首关于春天的五言绝句",
    "stream": true
  }'

import OpenAI from "openai";

const openai = new OpenAI({
    apiKey: "YOUR_STEP_API_KEY",
    baseURL: "https://api.stepfun.com/v1"
});

const response = await openai.responses.create({
    model: "step-3.7-flash",
    input: "证明：任何完全平方数模 4 的余数只能是 0 或 1",
    reasoning: { effort: "high" }
});
console.log(response.output_text);

curl https://api.stepfun.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $STEP_API_KEY" \
  -d '{
    "model": "step-3.7-flash",
    "input": "证明：任何完全平方数模 4 的余数只能是 0 或 1",
    "reasoning": { "effort": "high" }
  }'