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withOhm tool caches identical LLM prompts to cut costs and enhance safety

A developer has created withOhm, a tool designed to reduce costs and improve safety for AI applications by caching identical LLM prompts. The system caches exact prompt matches, not semantic ones, to avoid errors and replays cached responses as streaming data to maintain compatibility. Additionally, withOhm includes a compliance layer for web content fetching, checking robots.txt, redacting PII, and preventing SSRF attacks before data reaches the model. AI

IMPACT Reduces operational costs for AI applications by deduplicating identical LLM calls and enhances safety through compliant web content fetching.

RANK_REASON Developer-created tool for optimizing LLM usage.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

withOhm tool caches identical LLM prompts to cut costs and enhance safety

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · iwasinnam2 ·

    Your CI suite is probably re-paying OpenAI for prompts it already sent

    <p><strong>Disclosure</strong>: this is my own project (withOhm). Sharing it because the problem is generic enough that if you're building anything agentic or RAG-adjacent, you've probably hit some version of it already.</p> <p><strong>The problem</strong><br /> Two things kept h…