Build a verifiable cache for free LLM endpoints with Node.js

This tutorial demonstrates how to build a verifiable cache for free LLM endpoints using Node.js. The cache layer prevents duplicate requests from incurring additional costs by storing responses and serving them from memory. It uses a SHA-256 hash of the request method, URL, and raw body as the cache key. The implementation includes a minimal HTTP forwarder, an in-memory cache with a Time-To-Live (TTL), and a stats endpoint to track cache hits and misses. AI

IMPACT Reduces costs and latency for repeated LLM API calls, optimizing resource usage.

RANK_REASON The article describes the implementation of a technical tool for managing LLM API usage.

Read on dev.to — LLM tag →

• Bearer
• Getúlio Vargas
• Linux
• MonkeyCode
• Node.js
• part-of-speech tagging
• SHA-256
• Transmission Control Protocol

• infra
• product

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