8 docs tagged with "structured-generation"

The mathematics of constrained decoding - finite-state machines, token masking, context-free grammars, and how the Outlines library achieves guaranteed JSON schema conformance at generation time.

A complete guide to Jason Liu's Instructor library - Pydantic-based structured extraction, automatic retry on validation failure, multi-provider support, streaming, and production extraction patterns.

A complete guide to native JSON mode, OpenAI Structured Outputs, tool calling for structured data, Anthropic tool use, parallel tool calls, and schema design best practices.

How Microsoft Guidance and LMQL extend structured generation to full programmatic control - interleaving generation with code, SQL-like constraints, token healing, and when each tool wins over Outlines and Instructor.

A complete map of structured generation - from the reliability problem with free-text LLM output to constrained decoding, Outlines, Instructor, JSON mode, and production-grade extraction pipelines.

A complete guide to the Outlines library - Pydantic schema to FSM, regex constraints, JSON schema constraints, vLLM integration, and production deployment patterns with guaranteed output conformance.

Production-grade architecture for structured generation pipelines - reliability stacks, schema versioning, monitoring, async batching, caching, edge case handling, and complete reference implementations.

The taxonomy of LLM output failures, why prompt-based JSON extraction breaks at scale, the production impact of 5% failure rates, and the spectrum of solutions from prompt engineering to constrained decoding.