LLM構造化出力（Structured Output）実践ガイド｜JSONで確実に受け取る技術

{
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "age": { "type": "integer" },
    "email": { "type": "string", "format": "email" }
  },
  "required": ["name", "age"]
}

{
  "type": "array",
  "items": {
    "type": "object",
    "properties": {
      "id": { "type": "integer" },
      "title": { "type": "string" }
    }
  },
  "minItems": 1,
  "maxItems": 10
}

{
  "type": "string",
  "enum": ["positive", "neutral", "negative"],
  "description": "感情分析の結果"
}

{
  "type": "number",
  "minimum": 0,
  "maximum": 100,
  "description": "信頼度スコア（0-100）"
}

{
  "type": "object",
  "properties": {
    "email": {
      "type": "string",
      "format": "email",
      "minLength": 5,
      "maxLength": 100
    },
    "age": {
      "type": "integer",
      "minimum": 18,
      "maximum": 120
    },
    "phone": {
      "type": "string",
      "pattern": "^[0-9]{3}-[0-9]{4}-[0-9]{4}$"
    }
  },
  "required": ["email", "age"]
}

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

const response = await client.beta.chat.completions.create({
  model: "gpt-4-turbo",
  messages: [
    {
      role: "user",
      content: "このレビューの感情を分析してください：『素晴らしい製品です！』",
    },
  ],
  response_format: {
    type: "json_schema",
    json_schema: {
      name: "sentiment_analysis",
      schema: {
        type: "object",
        properties: {
          sentiment: {
            type: "string",
            enum: ["positive", "neutral", "negative"],
          },
          score: {
            type: "integer",
            minimum: 0,
            maximum: 10,
          },
          confidence: {
            type: "number",
            minimum: 0,
            maximum: 1,
          },
        },
        required: ["sentiment", "score", "confidence"],
      },
    },
  },
});

console.log(response.choices[0].message.content);

import { GoogleGenerativeAI } from "@google/generative-ai";

const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-1.5-pro" });

const schema = {
  description: "感情分析結果",
  type: "object",
  properties: {
    sentiment: {
      type: "string",
      enum: ["positive", "neutral", "negative"],
      description: "感情分類",
    },
    score: {
      type: "integer",
      description: "スコア（0-10）",
      minimum: 0,
      maximum: 10,
    },
    confidence: {
      type: "number",
      description: "信頼度",
      minimum: 0,
      maximum: 1,
    },
  },
  required: ["sentiment", "score", "confidence"],
};

const response = await model.generateContent({
  contents: [
    {
      role: "user",
      parts: [
        {
          text: "このレビューの感情を分析してください：『素晴らしい製品です！』",
        },
      ],
    },
  ],
  generationConfig: {
    responseMimeType: "application/json",
    responseSchema: schema,
  },
});

console.log(response.response.text());

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

const client = new Anthropic();

const response = await client.messages.create({
  model: "claude-3-5-sonnet-20241022",
  max_tokens: 1024,
  tools: [
    {
      name: "analyze_sentiment",
      description: "レビューの感情を分析する",
      input_schema: {
        type: "object",
        properties: {
          sentiment: {
            type: "string",
            enum: ["positive", "neutral", "negative"],
            description: "感情分類",
          },
          score: {
            type: "integer",
            description: "スコア（0-10）",
            minimum: 0,
            maximum: 10,
          },
          confidence: {
            type: "number",
            description: "信頼度",
            minimum: 0,
            maximum: 1,
          },
        },
        required: ["sentiment", "score", "confidence"],
      },
    },
  ],
  messages: [
    {
      role: "user",
      content: "このレビューの感情を分析してください：『素晴らしい製品です！』",
    },
  ],
});

console.log(response.content);