Agen Terus Berbohong Padaku. Sampai Aku Membuka AI Agent Debugger Apidog.
The article discusses a debugging experience with an AI agent that incorrectly reported response times. The author discovered that the issue stemmed from the lack of unit information in the tool's output, leading the model to misinterpret the data. A solution was implemented by making the payload more explicit and adjusting the system prompt to include unit context.
- ▪The AI agent was reporting the response time of an endpoint incorrectly due to a bug.
- ▪The issue was traced back to the tool's output not specifying the unit of measurement.
- ▪After modifying the payload to include explicit units, the agent provided accurate responses.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2112661) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Walse Posted on May 20 • Originally published at apidog.com Agen Terus Berbohong Padaku. Sampai Aku Membuka AI Agent Debugger Apidog. Selasa sore. Dua hari saya men-debug agen yang dengan percaya diri menjawab bahwa endpoint /users merespons dalam 47 detik. Nilai sebenarnya: 47 milidetik. Coba Apidog hari ini Masalahnya bukan di endpoint, bukan di pipeline metrik, dan bukan di model secara langsung.
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