推理 / NAVIN RESEARCH
Structured Outputs for Reliable AI Pipelines
Use JSON Schema for machine-consumed responses while preserving server-side validation and business rules.
Use JSON Schema for machine-consumed responses while preserving server-side validation and business rules.
简要回答: Structured output constrains syntax, not truth. Define the smallest schema your application needs, reject unknown fields where supported, validate again on your server, and apply domain rules before side effects.
实施步骤
- Version the schema and keep field descriptions unambiguous.
- Use enums and discriminated variants instead of free-form status strings.
- Parse and validate before data reaches queues, databases, or tools.
- Handle refusal, truncation, and unsupported-schema cases explicitly.
验证清单
- Generate boundary values, missing fields, and extra fields.
- Test semantically invalid but schema-valid data.
- Measure parse success separately from task correctness.
常见错误
- A giant schema that mirrors the entire database.
- Assuming valid JSON is valid business data.
- Silently coercing types or inventing missing values.
实际决策
先交付能够通过上述检查的最小设计。记录测试中使用的模型、提示词、工具、数据集与运行时版本，让后续变化可以被比较而不是被猜测。依赖供应商的限制、模型名称、价格或预览功能之前，请重新检查链接文档；这些细节变化往往快于本文的工程原则。
