NEXORA
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About this product

Structured outputs is OpenAI's most under-used feature — guaranteed-shape JSON that your TypeScript can `.parse()` with confidence. This cookbook is 15 real examples spanning the four modes (json_schema strict, json_mode legacy, function calling for tool routing, streaming with mid-response tool calls). Each is a runnable file, real Zod schema, real API call. Invoice line-items, ticket classification, resume parsing, code-diff explanation, meeting action items — the actual patterns you build first when adopting structured outputs. Includes decision matrix (mode picking), cost-optimization guide, and per-example model-tier guidance.

What's included

15 real TypeScript examples — invoice line-items, support ticket classify, ecom product tagger, meeting → action items, resume parser, job/candidate scoring, moderation check, query router (function-calling), form extractor, code-diff explainer, email-thread summary, streaming with tool calls, json_mode legacy, deeply-nested schema, enum narrowing
Each example: runnable `npx tsx examples/<slug>/index.ts`, real Zod schema, real OpenAI API call with `zodResponseFormat` helper
SAMPLE — examples/support-ticket-classify/index.ts uses gpt-4o-mini + z.object({category: z.enum(['bug','feature-request','billing','account','general']), priority: z.enum(['P0','P1','P2','P3']), suggested_owner, sentiment, one_line_summary}) → guaranteed-shape output that `.parsed` is fully typed
4 modes covered — json_schema (strict), json_mode (legacy fallback), function_calling (tool routing), streaming (with mid-stream tool calls)
docs/PICKING-THE-RIGHT-MODE.md — decision matrix (guaranteed shape? tool routing? older SDK?)
docs/COST-OPTIMIZATION.md — mini vs full model tradeoffs, prompt caching, Batch API
Every example lists suggested model tier + notes when to upgrade from mini to full
Team license: single-org, up to 5 developers, reuse across all client projects · 30-day money-back guarantee

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