A user's analysis of their Claude Code token usage revealed that 98.1% of those tokens were cache reads, meaning the conversation history was being resent with each request. This highlights the significant impact of caching on Claude's cost and performance, as breaking the cache—like changing system prompts or resuming a session—can dramatically increase expenses. Developers tracking token usage should be aware of this phenomenon and consider strategies to optimize context size rather than focusing solely on shortening responses.
Read the full article at Towards AI - Medium
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