structured-generation

# 结构化生成指南 使用 SGLang 生成结构化输出的完整指南。 ## JSON 生成 ### 基础 JSON 输出 python import sglang as sgl @sgl.function def basic_json(s, text): s += f"Extract person info from: {text}n" s += "Output as JSON:n" # JSON 对象的简单正则表达式 s += sgl.gen( "json", max_tokens=150, regex=r'{[^}]+}' # 基础 JSON 模式 ) state = basic_json.run(text="Alice is a 28-year-old doctor") print(state["json"]) # 输出: {"name": "Alice", "age": 28, "profession": "doctor"} ### 带模式验证的 JSON python @sgl.function def schema_json(s, description): s += f"Create a product from: {description}n" # 详细的 JSON 模式 schema = { "type": "object", "properties": { "name": {"type": "string"}, "price": {"type": "number", "minimum": 0}, "category": { "type": "string", "enum": ["electronics", "clothing", "food", "books"] }, "in_stock": {"type": "boolean"}, "tags": { "type": "array", "items": {"type": "string"}, "minItems": 1, "maxItems": 5 } }, "required": ["name", "price", "category", "in_stock"] } s += sgl.gen("product", max_tokens=300, json_schema=schema) state = schema_json.run( description="Wireless headphones, $79.99, currently available, audio" ) print(state["product"]) # 输出: 完全匹配模式的有效 JSON **输出示例**: { "name": "Wireless Headphones", "price": 79.99, "category": "electronics", "in_stock": true, "tags": ["audio", "wireless", "bluetooth"] } ### 嵌套 JSON 结构 python schema = { "type": "object", "properties": { "user": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "email": {"type": "string", "format": "email"} }, "required": ["id", "name", "email"] }, "orders": { "type": "array", "items": { "type": "object", "properties": { "order_id": {"type": "string"}, "total": {"type": "number"}, "items": { "type": "array",