Getting Structured Output from LLMs
Learn how to reliably extract JSON, XML, tables, and other structured formats from LLMs using schema enforcement, prompt patterns, and validation.
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Learn how to reliably extract JSON, XML, tables, and other structured formats from LLMs using schema enforcement, prompt patterns, and validation.
Learn how to prompt LLMs to return structured JSON output reliably. Covers schema enforcement, Pydantic validation, and production patterns for consistent structured responses.
Implement the json.Marshaler and json.Unmarshaler interfaces to control how Go types serialize to and from JSON.
Master Serde in Rust with practical patterns for JSON, custom serialization, field renaming, enums, and error handling in real-world projects.
Learn how to store, query, and manipulate JSON and JSONB data in PostgreSQL with practical examples and indexing strategies.
Practical techniques for parsing and validating LLM outputs reliably, covering JSON mode, schema enforcement, retries, and repair strategies for production use.
How to get reliable JSON out of LLMs using tool use, JSON mode, and grammar-constrained decoding, with patterns that work in production.
How to coax LLMs into producing predictable, parseable output using output formatters, JSON schemas, examples, and validation loops that actually hold up in production code paths.
A complete guide to Serde, Rust's de facto serialization framework, covering derive macros, attributes, custom types, and common JSON patterns.