Gemini 结构化输出示例

以下示例展示如何使用Gemini API的结构化输出功能，通过 response_schema 参数确保输出符合指定的JSON Schema格式。

快速开始

只需要替换 <API-KEY> 为你的实际API密钥即可运行。

curl -X POST "https://api.tokenops.ai/v1beta/models/gemini-2.5-flash:generateContent" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <API-KEY>" \
  -d '{
    "contents": [
      {
        "parts": [
          {
            "text": "分析苹果公司的基本信息，包括公司名称、成立年份、创始人、主要业务等"
          }
        ]
      }
    ],
    "generationConfig": {
      "maxOutputTokens": 3000,
      "temperature": 0.1,
      "responseMimeType": "application/json",
      "responseSchema": {
        "type": "object",
        "properties": {
          "company_name": {
            "type": "string",
            "description": "公司名称"
          },
          "founded_year": {
            "type": "integer",
            "description": "成立年份"
          },
          "founders": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "创始人列表"
          },
          "main_business": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "主要业务领域"
          },
          "headquarters": {
            "type": "string",
            "description": "总部位置"
          }
        },
        "required": ["company_name", "founded_year", "founders", "main_business", "headquarters"]
      }
    }
  }'

import requests
import json

# 配置API密钥和基础URL
API_KEY = "<API-KEY>"
BASE_URL = "https://api.tokenops.ai/v1beta"

def gemini_structured_output(prompt, schema, temperature=0.1, max_tokens=1000):
    """
    使用Gemini的结构化输出功能

    Args:
        prompt: 输入提示词
        schema: JSON Schema定义
        temperature: 生成温度 (建议使用低温度确保结构稳定)
        max_tokens: 最大输出token数
    """
    url = f"{BASE_URL}/models/gemini-2.5-flash:generateContent"
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_KEY}"
    }

    data = {
        "contents": [
            {
                "parts": [
                    {
                        "text": prompt
                    }
                ]
            }
        ],
        "generationConfig": {
            "maxOutputTokens": max_tokens,
            "temperature": temperature,
            "responseMimeType": "application/json",
            "responseSchema": schema
        }
    }

    try:
        response = requests.post(url, headers=headers, json=data)

        if response.status_code == 200:
            result = response.json()
            if 'candidates' in result and len(result['candidates']) > 0:
                content = result['candidates'][0]['content']
                if 'parts' in content and len(content['parts']) > 0:
                    # 解析JSON内容
                    json_text = content['parts'][0]['text']
                    return json.loads(json_text)
                else:
                    return {"error": "没有返回内容"}
            else:
                return {"error": "没有生成候选回答"}
        else:
            return {"error": f"API错误: {response.status_code} - {response.text}"}

    except json.JSONDecodeError as e:
        return {"error": f"JSON解析失败: {e}"}
    except Exception as e:
        return {"error": f"请求失败: {e}"}

def analyze_company_info():
    """公司信息分析示例"""
    prompt = "分析苹果公司的基本信息，包括公司名称、成立年份、创始人、主要业务等"

    schema = {
        "type": "object",
        "properties": {
            "company_name": {
                "type": "string",
                "description": "公司名称"
            },
            "founded_year": {
                "type": "integer",
                "description": "成立年份"
            },
            "founders": {
                "type": "array",
                "items": {
                    "type": "string"
                },
                "description": "创始人列表"
            },
            "main_business": {
                "type": "array",
                "items": {
                    "type": "string"
                },
                "description": "主要业务领域"
            },
            "headquarters": {
                "type": "string",
                "description": "总部位置"
            },
            "market_cap_estimate": {
                "type": "string",
                "description": "市值估计"
            },
            "key_products": {
                "type": "array",
                "items": {
                    "type": "string"
                },
                "description": "主要产品"
            }
        },
        "required": ["company_name", "founded_year", "founders", "main_business", "headquarters"]
    }

    return gemini_structured_output(prompt, schema)

def analyze_movie_review():
    """电影评论分析示例"""
    prompt = """分析以下电影评论：

"这部电影的视觉效果令人震撼，特效制作精良，但剧情略显薄弱，人物发展不够深入。演员表现中规中矩，配乐很棒。总的来说是一部值得一看的视觉盛宴，但别期待太深刻的内容。"

请提供详细的结构化分析。"""

    schema = {
        "type": "object",
        "properties": {
            "overall_rating": {
                "type": "number",
                "minimum": 1,
                "maximum": 10,
                "description": "总体评分(1-10分)"
            },
            "aspect_ratings": {
                "type": "object",
                "properties": {
                    "visual_effects": {
                        "type": "number",
                        "minimum": 1,
                        "maximum": 10,
                        "description": "视觉效果评分"
                    },
                    "plot": {
                        "type": "number",
                        "minimum": 1,
                        "maximum": 10,
                        "description": "剧情评分"
                    },
                    "acting": {
                        "type": "number",
                        "minimum": 1,
                        "maximum": 10,
                        "description": "演技评分"
                    },
                    "music": {
                        "type": "number",
                        "minimum": 1,
                        "maximum": 10,
                        "description": "配乐评分"
                    }
                },
                "required": ["visual_effects", "plot", "acting", "music"]
            },
            "positive_aspects": {
                "type": "array",
                "items": {
                    "type": "string"
                },
                "description": "积极方面"
            },
            "negative_aspects": {
                "type": "array",
                "items": {
                    "type": "string"
                },
                "description": "消极方面"
            },
            "target_audience": {
                "type": "string",
                "description": "目标受众"
            },
            "recommendation": {
                "type": "boolean",
                "description": "是否推荐观看"
            },
            "genre_classification": {
                "type": "array",
                "items": {
                    "type": "string",
                    "enum": ["动作", "科幻", "剧情", "喜剧", "爱情", "惊悚", "恐怖", "动画", "纪录片", "其他"]
                },
                "description": "电影类型分类"
            }
        },
        "required": ["overall_rating", "aspect_ratings", "positive_aspects", "negative_aspects", "recommendation"]
    }

    return gemini_structured_output(prompt, schema)

def extract_structured_data():
    """从文本中提取结构化数据"""
    prompt = """从以下文本中提取结构化信息：

"张三是一名软件工程师，今年28岁，毕业于清华大学计算机科学与技术专业。他在北京的一家互联网公司工作，年薪35万元。他的联系电话是138-0000-1234，邮箱是zhangsan@example.com。他喜欢编程、阅读和跑步。"

请提取所有相关信息。"""

    schema = {
        "type": "object",
        "properties": {
            "personal_info": {
                "type": "object",
                "properties": {
                    "name": {
                        "type": "string",
                        "description": "姓名"
                    },
                    "age": {
                        "type": "integer",
                        "description": "年龄"
                    },
                    "profession": {
                        "type": "string",
                        "description": "职业"
                    }
                },
                "required": ["name", "age", "profession"]
            },
            "education": {
                "type": "object",
                "properties": {
                    "university": {
                        "type": "string",
                        "description": "毕业院校"
                    },
                    "major": {
                        "type": "string",
                        "description": "专业"
                    }
                },
                "required": ["university", "major"]
            },
            "work_info": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "工作地点"
                    },
                    "company_type": {
                        "type": "string",
                        "description": "公司类型"
                    },
                    "salary": {
                        "type": "string",
                        "description": "年薪"
                    }
                },
                "required": ["location", "company_type", "salary"]
            },
            "contact_info": {
                "type": "object",
                "properties": {
                    "phone": {
                        "type": "string",
                        "description": "电话号码"
                    },
                    "email": {
                        "type": "string",
                        "description": "邮箱地址"
                    }
                },
                "required": ["phone", "email"]
            },
            "hobbies": {
                "type": "array",
                "items": {
                    "type": "string"
                },
                "description": "爱好列表"
            }
        },
        "required": ["personal_info", "education", "work_info", "contact_info", "hobbies"]
    }

    return gemini_structured_output(prompt, schema)

def financial_analysis():
    """财务数据分析示例"""
    prompt = """分析以下财务数据：

某公司2023年财务概况：
- 总收入：1000万元，同比增长15%
- 总支出：800万元，其中人力成本占40%，运营成本占35%，其他成本占25%
- 净利润：200万元
- 员工总数：100人
- 主要收入来源：产品销售70%，服务收入30%

请提供结构化的财务分析。"""

    schema = {
        "type": "object",
        "properties": {
            "revenue_analysis": {
                "type": "object",
                "properties": {
                    "total_revenue": {
                        "type": "number",
                        "description": "总收入(万元)"
                    },
                    "growth_rate": {
                        "type": "number",
                        "description": "增长率(%)"
                    },
                    "revenue_sources": {
                        "type": "object",
                        "properties": {
                            "product_sales": {
                                "type": "number",
                                "description": "产品销售占比(%)"
                            },
                            "service_revenue": {
                                "type": "number",
                                "description": "服务收入占比(%)"
                            }
                        },
                        "required": ["product_sales", "service_revenue"]
                    }
                },
                "required": ["total_revenue", "growth_rate", "revenue_sources"]
            },
            "cost_analysis": {
                "type": "object",
                "properties": {
                    "total_expenses": {
                        "type": "number",
                        "description": "总支出(万元)"
                    },
                    "cost_breakdown": {
                        "type": "object",
                        "properties": {
                            "human_resources": {
                                "type": "number",
                                "description": "人力成本占比(%)"
                            },
                            "operations": {
                                "type": "number",
                                "description": "运营成本占比(%)"
                            },
                            "others": {
                                "type": "number",
                                "description": "其他成本占比(%)"
                            }
                        },
                        "required": ["human_resources", "operations", "others"]
                    }
                },
                "required": ["total_expenses", "cost_breakdown"]
            },
            "profitability": {
                "type": "object",
                "properties": {
                    "net_profit": {
                        "type": "number",
                        "description": "净利润(万元)"
                    },
                    "profit_margin": {
                        "type": "number",
                        "description": "利润率(%)"
                    },
                    "profit_per_employee": {
                        "type": "number",
                        "description": "人均利润(万元)"
                    }
                },
                "required": ["net_profit", "profit_margin", "profit_per_employee"]
            },
            "employee_metrics": {
                "type": "object",
                "properties": {
                    "total_employees": {
                        "type": "integer",
                        "description": "员工总数"
                    },
                    "revenue_per_employee": {
                        "type": "number",
                        "description": "人均收入(万元)"
                    }
                },
                "required": ["total_employees", "revenue_per_employee"]
            },
            "financial_health": {
                "type": "object",
                "properties": {
                    "assessment": {
                        "type": "string",
                        "enum": ["优秀", "良好", "一般", "需要改进", "较差"],
                        "description": "财务健康度评估"
                    },
                    "key_strengths": {
                        "type": "array",
                        "items": {
                            "type": "string"
                        },
                        "description": "主要优势"
                    },
                    "areas_for_improvement": {
                        "type": "array",
                        "items": {
                            "type": "string"
                        },
                        "description": "改进建议"
                    }
                },
                "required": ["assessment", "key_strengths", "areas_for_improvement"]
            }
        },
        "required": ["revenue_analysis", "cost_analysis", "profitability", "employee_metrics", "financial_health"]
    }

    return gemini_structured_output(prompt, schema)

# 使用示例
if __name__ == "__main__":
    print("=== Gemini结构化输出示例 ===\n")

    try:
        # 示例1: 公司信息分析
        print("1. 公司信息分析:")
        company_result = analyze_company_info()
        print(json.dumps(company_result, ensure_ascii=False, indent=2))
        print("\n" + "="*50 + "\n")

        # 示例2: 电影评论分析
        print("2. 电影评论分析:")
        movie_result = analyze_movie_review()
        print(json.dumps(movie_result, ensure_ascii=False, indent=2))
        print("\n" + "="*50 + "\n")

        # 示例3: 结构化数据提取
        print("3. 结构化数据提取:")
        data_result = extract_structured_data()
        print(json.dumps(data_result, ensure_ascii=False, indent=2))
        print("\n" + "="*50 + "\n")

        # 示例4: 财务数据分析
        print("4. 财务数据分析:")
        financial_result = financial_analysis()
        print(json.dumps(financial_result, ensure_ascii=False, indent=2))

    except Exception as e:
        print(f"程序执行出错: {e}")

const axios = require('axios');

// 配置API密钥和基础URL
const API_KEY = '<API-KEY>';
const BASE_URL = 'https://api.tokenops.ai/v1beta';

async function geminiStructuredOutput(prompt, schema, temperature = 0.1, maxTokens = 1000) {
    const url = `${BASE_URL}/models/gemini-2.5-flash:generateContent`;
    const headers = {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${API_KEY}`
    };

    const data = {
        contents: [
            {
                parts: [
                    {
                        text: prompt
                    }
                ]
            }
        ],
        generationConfig: {
            maxOutputTokens: maxTokens,
            temperature: temperature,
            responseMimeType: 'application/json',
            responseSchema: schema
        }
    };

    try {
        const response = await axios.post(url, data, { headers });

        if (response.status === 200) {
            const result = response.data;
            if (result.candidates && result.candidates.length > 0) {
                const content = result.candidates[0].content;
                if (content.parts && content.parts.length > 0) {
                    // 解析JSON内容
                    const jsonText = content.parts[0].text;
                    return JSON.parse(jsonText);
                } else {
                    return { error: '没有返回内容' };
                }
            } else {
                return { error: '没有生成候选回答' };
            }
        } else {
            return { error: `API错误: ${response.status} - ${response.statusText}` };
        }

    } catch (error) {
        if (error instanceof SyntaxError) {
            return { error: `JSON解析失败: ${error.message}` };
        }
        return { error: `请求失败: ${error.response?.status} - ${error.response?.data || error.message}` };
    }
}

async function analyzeProductReview() {
    const prompt = `分析这个产品评价：

"这款手机外观设计很时尚，屏幕显示效果不错，拍照功能比较满意。但是电池续航能力一般，充电速度也不够快。系统运行比较流畅，但偶尔会卡顿。总体来说性价比还可以，值得购买。"

请提供详细的结构化分析。`;

    const schema = {
        type: 'object',
        properties: {
            overall_satisfaction: {
                type: 'number',
                minimum: 1,
                maximum: 10,
                description: '总体满意度(1-10分)'
            },
            feature_ratings: {
                type: 'object',
                properties: {
                    design: {
                        type: 'number',
                        minimum: 1,
                        maximum: 10,
                        description: '外观设计评分'
                    },
                    screen: {
                        type: 'number',
                        minimum: 1,
                        maximum: 10,
                        description: '屏幕显示评分'
                    },
                    camera: {
                        type: 'number',
                        minimum: 1,
                        maximum: 10,
                        description: '拍照功能评分'
                    },
                    battery: {
                        type: 'number',
                        minimum: 1,
                        maximum: 10,
                        description: '电池续航评分'
                    },
                    performance: {
                        type: 'number',
                        minimum: 1,
                        maximum: 10,
                        description: '系统性能评分'
                    }
                },
                required: ['design', 'screen', 'camera', 'battery', 'performance']
            },
            sentiment_analysis: {
                type: 'object',
                properties: {
                    positive_mentions: {
                        type: 'array',
                        items: {
                            type: 'string'
                        },
                        description: '积极评价点'
                    },
                    negative_mentions: {
                        type: 'array',
                        items: {
                            type: 'string'
                        },
                        description: '消极评价点'
                    },
                    neutral_mentions: {
                        type: 'array',
                        items: {
                            type: 'string'
                        },
                        description: '中性评价点'
                    }
                },
                required: ['positive_mentions', 'negative_mentions']
            },
            purchase_decision: {
                type: 'object',
                properties: {
                    recommended: {
                        type: 'boolean',
                        description: '是否推荐购买'
                    },
                    target_users: {
                        type: 'array',
                        items: {
                            type: 'string'
                        },
                        description: '适合的用户群体'
                    },
                    value_assessment: {
                        type: 'string',
                        enum: ['超值', '合理', '偏贵', '不值'],
                        description: '性价比评估'
                    }
                },
                required: ['recommended', 'target_users', 'value_assessment']
            }
        },
        required: ['overall_satisfaction', 'feature_ratings', 'sentiment_analysis', 'purchase_decision']
    };

    return await geminiStructuredOutput(prompt, schema);
}

async function extractEventInfo() {
    const prompt = `从以下文本中提取活动信息：

"TokenOPS.AI技术分享会将于2024年10月15日下午2点在北京朝阳区望京SOHO T3座16层举行。本次活动主题是'AI时代的开发者机遇'，将邀请来自腾讯、字节跳动、百度等公司的技术专家分享经验。活动免费参加，但需要提前报名，报名截止时间为10月12日。联系人：李小明，电话：010-12345678，邮箱：contact@tokenops.ai"

请提取所有相关信息。`;

    const schema = {
        type: 'object',
        properties: {
            event_basic_info: {
                type: 'object',
                properties: {
                    name: {
                        type: 'string',
                        description: '活动名称'
                    },
                    theme: {
                        type: 'string',
                        description: '活动主题'
                    },
                    type: {
                        type: 'string',
                        description: '活动类型'
                    }
                },
                required: ['name', 'theme', 'type']
            },
            schedule: {
                type: 'object',
                properties: {
                    date: {
                        type: 'string',
                        description: '活动日期'
                    },
                    time: {
                        type: 'string',
                        description: '活动时间'
                    },
                    registration_deadline: {
                        type: 'string',
                        description: '报名截止时间'
                    }
                },
                required: ['date', 'time', 'registration_deadline']
            },
            location: {
                type: 'object',
                properties: {
                    city: {
                        type: 'string',
                        description: '城市'
                    },
                    district: {
                        type: 'string',
                        description: '区域'
                    },
                    venue: {
                        type: 'string',
                        description: '具体地点'
                    },
                    floor: {
                        type: 'string',
                        description: '楼层'
                    }
                },
                required: ['city', 'district', 'venue']
            },
            speakers: {
                type: 'object',
                properties: {
                    companies: {
                        type: 'array',
                        items: {
                            type: 'string'
                        },
                        description: '演讲者所在公司'
                    },
                    expertise: {
                        type: 'string',
                        description: '专业领域'
                    }
                },
                required: ['companies']
            },
            registration: {
                type: 'object',
                properties: {
                    is_free: {
                        type: 'boolean',
                        description: '是否免费'
                    },
                    requires_registration: {
                        type: 'boolean',
                        description: '是否需要报名'
                    }
                },
                required: ['is_free', 'requires_registration']
            },
            contact_info: {
                type: 'object',
                properties: {
                    contact_person: {
                        type: 'string',
                        description: '联系人'
                    },
                    phone: {
                        type: 'string',
                        description: '联系电话'
                    },
                    email: {
                        type: 'string',
                        description: '联系邮箱'
                    }
                },
                required: ['contact_person', 'phone', 'email']
            }
        },
        required: ['event_basic_info', 'schedule', 'location', 'speakers', 'registration', 'contact_info']
    };

    return await geminiStructuredOutput(prompt, schema);
}

// 使用示例
(async () => {
    try {
        console.log('=== Gemini结构化输出示例 ===\n');

        // 示例1: 产品评价分析
        console.log('1. 产品评价分析:');
        const reviewResult = await analyzeProductReview();
        console.log(JSON.stringify(reviewResult, null, 2));
        console.log('\n' + '='.repeat(50) + '\n');

        // 示例2: 活动信息提取
        console.log('2. 活动信息提取:');
        const eventResult = await extractEventInfo();
        console.log(JSON.stringify(eventResult, null, 2));

    } catch (error) {
        console.error('程序执行出错:', error.message);
    }
})();

Gemini结构化输出的特点

1. 原生支持JSON Schema

Gemini通过 responseSchema 参数原生支持JSON Schema验证：

严格遵循: 输出严格遵循指定的schema结构
类型验证: 自动验证数据类型和格式
必填字段: 确保required字段不会缺失

2. 配置参数

{
  "generationConfig": {
    "responseMimeType": "application/json",
    "responseSchema": {
      "type": "object",
      "properties": { ... },
      "required": [ ... ]
    },
    "temperature": 0.1
  }
}

3. Schema支持的特性

基本类型: string, number, integer, boolean, array, object
约束条件: minimum, maximum, enum, items等
嵌套结构: 支持复杂的嵌套对象和数组
必填验证: required字段自动验证

结果示例

200

{
  "candidates": [
    {
      "content": {
        "parts": [
          {
            "text": "{\"company_name\":\"Apple Inc.\",\"founded_year\":1976,\"founders\":[\"Steve Jobs\",\"Steve Wozniak\",\"Ronald Wayne\"],\"main_business\":[\"Consumer Electronics\",\"Software\",\"Online Services\"],\"headquarters\":\"Cupertino, California, United States\"}"
          }
        ],
        "role": "model"
      },
      "finishReason": "STOP",
      "avgLogprobs": -0.12912105662482126
    }
  ],
  "createTime": "2025-10-26T12:38:59.637958Z",
  "modelVersion": "gemini-2.5-flash",
  "responseId": "fe4a5ffaf1524b37876a84f8686830ad",
  "usageMetadata": {
    "candidatesTokenCount": 56,
    "candidatesTokensDetails": [
      {
        "modality": "TEXT",
        "tokenCount": 56
      }
    ],
    "promptTokenCount": 61,
    "promptTokensDetails": [
      {
        "modality": "TEXT",
        "tokenCount": 61
      }
    ],
    "thoughtsTokenCount": 108,
    "totalTokenCount": 225,
    "trafficType": "ON_DEMAND"
  }
}

高级Schema示例

1. 复杂嵌套结构

{
  "type": "object",
  "properties": {
    "user_profile": {
      "type": "object",
      "properties": {
        "personal_info": {
          "type": "object",
          "properties": {
            "name": { "type": "string" },
            "age": { "type": "integer", "minimum": 0, "maximum": 120 },
            "location": {
              "type": "object",
              "properties": {
                "country": { "type": "string" },
                "city": { "type": "string" }
              }
            }
          }
        },
        "preferences": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "category": { "type": "string" },
              "rating": { "type": "number", "minimum": 1, "maximum": 5 }
            }
          }
        }
      }
    }
  }
}

2. 枚举值约束

{
  "type": "object",
  "properties": {
    "sentiment": {
      "type": "string",
      "enum": ["positive", "negative", "neutral"]
    },
    "confidence": {
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "categories": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": ["technology", "business", "science", "entertainment"]
      }
    }
  }
}

应用场景

数据提取和整理

文档解析: 从非结构化文档中提取结构化信息
表单填充: 自动填充复杂的结构化表单
数据标准化: 将不同格式的数据统一为标准结构

分析和评估

情感分析: 提供量化的情感分析结果
产品评价: 结构化分析用户反馈和评价
市场调研: 从调研数据中提取结构化洞察

业务应用

CRM系统: 从客户沟通中提取关键信息
报告生成: 自动生成结构化的业务报告
质量控制: 确保AI输出符合业务规范

最佳实践

1. Schema设计原则

简洁明确: 避免过于复杂的嵌套结构
类型明确: 为每个字段指定准确的类型
约束合理: 设置合理的取值范围和枚举值
描述清晰: 为每个字段提供清晰的描述

2. 性能优化

低温度: 使用较低的temperature (0.1-0.3) 确保结构稳定
合理长度: 避免过长的输出，合理设置maxOutputTokens
字段验证: 在客户端验证返回的JSON结构

3. 错误处理

JSON解析: 妥善处理JSON解析异常
Schema验证: 验证返回数据是否符合预期schema
降级处理: 提供schema验证失败时的降级策略

注意事项

Schema复杂度: 过于复杂的schema可能影响生成质量
必填字段: required字段过多可能导致生成困难
数据类型: 确保schema中的类型定义准确
约束条件: 约束条件要合理，避免无法满足的限制
温度设置: 建议使用低温度以确保结构化输出的稳定性
Token限制: 复杂结构可能需要更多token，注意设置合理的限制

​Gemini 结构化输出示例

​快速开始

​Gemini结构化输出的特点

​1. 原生支持JSON Schema

​2. 配置参数

​3. Schema支持的特性

​结果示例

​高级Schema示例

​1. 复杂嵌套结构

​2. 枚举值约束

​应用场景

​数据提取和整理

​分析和评估

​业务应用

​最佳实践

​1. Schema设计原则

​2. 性能优化

​3. 错误处理

​注意事项

Gemini 结构化输出示例

快速开始

Gemini结构化输出的特点

1. 原生支持JSON Schema

2. 配置参数

3. Schema支持的特性

结果示例

高级Schema示例

1. 复杂嵌套结构

2. 枚举值约束

应用场景

数据提取和整理

分析和评估

业务应用

最佳实践

1. Schema设计原则

2. 性能优化

3. 错误处理

注意事项