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Shady LLM API Proxies Exploit Claude Prompt Caching, Inflating Costs

A technical post details how some third-party API proxies for LLMs like Claude are deceptively implementing prompt caching, leading to inflated costs for users. These proxies often fail to properly manage caching sessions, strip cache control directives, or fabricate usage telemetry to mask higher charges. The author outlines common pitfalls, explains the break-even point for effective caching, and provides a Python script to help users audit their providers for accurate billing. AI

IMPACT Users of LLM APIs should audit their proxy providers to ensure accurate billing and avoid unexpected costs due to flawed caching implementations.

RANK_REASON Technical post detailing a specific implementation issue with LLM API proxies.

Read on dev.to — LLM tag →

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

Shady LLM API Proxies Exploit Claude Prompt Caching, Inflating Costs

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28 / 100
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Tool
Technical post detailing a specific implementation issue with LLM API proxies.
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Single-source cluster
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

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

    PSA: How shady LLM API proxies fake Claude Prompt Caching (and how to audit yours)

    <p>If you run Claude Code or Cline daily, prompt caching controls your API spend. Anthropic charges 1.25x base price to write a cache checkpoint and 0.1x to read it, yielding up to a 90% discount on large contexts. While building upstream routing for our multi-model gateway, I au…