How to cache LLM API calls in Node.js 2026: Redis and break-even math
Redis exact-match caching cuts LLM API spend at scale. Working Node.js middleware, 30-minute TTL trade-off, and when semantic search is worth the overhead.
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Redis exact-match caching cuts LLM API spend at scale. Working Node.js middleware, 30-minute TTL trade-off, and when semantic search is worth the overhead.
Build a production RAG API in Node.js using pgvector: text ingestion, chunked embeddings, vector search, and source-cited answers in under 80 lines.
Add token counting, sliding window, and summarization compaction to a Node.js chat route to keep conversations coherent without blowing the context budget.
Three tiers of LLM JSON output validation in 2026: schema (Zod), semantic checks, and retry with reprompt. Includes cost math at 1,000 requests per day.
Wire Anthropic and OpenAI into one Next.js API route: primary call, automatic provider switch on 429 or 5xx, and the real latency cost of switching mid-request.
Catch LLM prompt regressions before users do: a 30-line Node.js eval script that runs golden-set tests on every PR and fails the build when quality drops.
Three production guards that stop runaway LLM agent loops in Node.js: max turns, cost budgets, and return value validation with working code.
Three production patterns for streaming LLM responses in Node.js, Next.js, and FastAPI, with the mid-stream error catch most tutorials skip.
LiteLLM has multiple routing strategies. These 4 matter in production: weighted, fallback, semantic, and budget-capped, each with production-ready YAML.
Add OpenRouter model fallbacks to a Node.js app: setup, the models array, response.model tracking, and four pitfalls that catch you on week two.