Claude Code API costs driven by tool results, user finds

A user developed a proxy tool to analyze the API usage of Claude Code, discovering that 68% of their API costs were attributed to tool results rather than prompts or model completions. The analysis revealed a high cache efficiency of 96.7% across over a billion reused tokens, but also identified significant inefficiencies. Claude Code frequently re-read files, sometimes over 4,600 times per session, and long idle periods between sessions led to cache drops and wasted expenses. AI

IMPACT Reveals significant cost drivers in AI agent workflows, suggesting areas for optimization in tool usage and cache management.

RANK_REASON User-developed tool analyzing an existing AI product's performance.

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• Anthropic API
• Claude Code

• product
• infra

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