I Built a Profiler to Audit My Own AI Tool Calls. Here's What I Learned About Observability
The author developed a profiler called AgentLens to improve observability in AI tool usage. After analyzing 157 skills, they identified inefficiencies such as redundant tool calls and silent failures. The article emphasizes the importance of observability in AI development over merely focusing on prompts.
- ▪The author built AgentLens to audit their AI tool calls after realizing a lack of visibility into their efficiency.
- ▪Common issues found included redundant tool calls, silent failures, and latency spikes.
- ▪AgentLens uses simple regex patterns to parse API logs and identify usage patterns.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/tarunai/i-built-a-profiler-to-audit-my-own-ai-tool-calls-heres-what-i-learned-about-observability-128b |
| Publication time | Wed, 27 May 2026 02:22:38 +0000 |
| Retrieval time | 2026-05-27T02:37:56.185Z |
| Last seen | 2026-05-27T02:37:56.185Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | TyQq4GArj8zR |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3942046) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Ramagiri Tharun Posted on May 27 I Built a Profiler to Audit My Own AI Tool Calls. Here's What I Learned About Observability #ai #machinelearning #automation #buildinpublic I built a profiler to audit my own tool calls. After loading 157 skills in 12 days, I realized I had zero visibility into whether I was using them efficiently. So I built AgentLens. The Problem Nobody Talks About Most AI agent demos look magical because the demo is 30 seconds long.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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