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Your Agent Just Called the Same Tool 47 Times. Here's the 20-Line Detector.

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Your Agent Just Called the Same Tool 47 Times. Here's the 20-Line Detector.
TL;DR · WeSearch summary

A recent incident highlighted the risks of AI agents looping on tool calls, resulting in a user incurring a $47,000 charge. The article discusses the importance of detecting such loops and proposes a simple Python solution to prevent excessive repetitions. It emphasizes that monitoring for repeated calls is crucial to ensure efficient use of resources in AI applications.

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Record

Original publisherDEV.to (Top)
Canonical URLhttps://dev.to/gabrielanhaia/your-agent-just-called-the-same-tool-47-times-heres-the-20-line-detector-59f1
Publication timeSat, 23 May 2026 16:52:09 +0000
Retrieval time2026-05-23T17:07:27.532Z
Last seen2026-05-23T17:07:27.532Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterUdoTASe8UHM6 · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

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 === 425693) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Gabriel Anhaia Posted on May 23 Your Agent Just Called the Same Tool 47 Times. Here's the 20-Line Detector. #llm #ai #python #observability Book: AI Agents Pocket Guide: Patterns for Building Autonomous Systems with LLMs Also by me: Thinking in Go (2-book series) — Complete Guide to Go Programming + Hexagonal Architecture in Go My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel.com | GitHub The $47K loop A…

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

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