Tag: Engineering Practices

3 articles

• Structured Outputs in Production: Using Constrained Decoding for Reliable JSON from LLMs

  A systematic guide to structured outputs in LLM applications: JSON Schema, constrained decoding, business validation, fallback strategies, and monitoring metrics to reduce parse failures and improve API stability.

  07/01/2026 LLM / Structured Outputs / Constrained Decoding / JSON Schema / Engineering Practices

• Prefix Caching in Production: Reducing TTFT with KV Cache Reuse

  A comprehensive guide to Prefix Caching for LLM inference: principles, suitable workloads, engineering integration, monitoring, security boundaries, and common pitfalls for RAG, Agent, and multi-turn dialogue applications.

  07/01/2026 LLM / Inference Optimization / KV Cache / Prefix Caching / Engineering Practices

• Structured Outputs in Production: Making JSON Schema Truly Usable with Constrained Decoding

  A systematic guide to implementing structured outputs in LLM engineering, covering JSON Schema, constrained decoding, validation and retry, performance overhead, monitoring metrics, and common pitfalls to reduce parse failures and business risks.

  07/01/2026 LLMs / Structured Outputs / JSON Schema / Constrained Decoding / Engineering Practices