I Turned on Agent Tracing for 30 Days. 4 Hidden Bottlenecks Were Eating 47% of My Tokens.
Ken Imoto analyzed the token usage of his Claude agent over 30 days and identified four bottlenecks that consumed 47% of his monthly tokens. By implementing tracing, he discovered issues such as excessive retries on tool calls and unnecessary context re-fetching. Fixing these issues resulted in a significant reduction in token consumption without altering the agent's functionality.
- ▪The Claude agent was consuming 5.2 million tokens a month, which was significantly higher than expected.
- ▪Four hidden bottlenecks were identified that collectively accounted for 47% of the token usage.
- ▪Implementing fixes for these bottlenecks halved the monthly token bill.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3800250) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Ken Imoto Posted on May 27 I Turned on Agent Tracing for 30 Days. 4 Hidden Bottlenecks Were Eating 47% of My Tokens. #ai #agents #observability #performance I have a production Claude agent that has been running for about four months. It does code review on incoming PRs, drafts changelog entries, and occasionally summarizes a Slack channel. Nothing exotic. Nothing the marketing pages would put on a banner. It was burning 5.2 million tokens a month.
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