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.
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