What are agent loops and why do they cost so much?

Agent loops are the repetitive LLM calls in ReAct or tool-calling setups—great for demos, deadly in prod when they hallucinate or retry forever, spiking bills from cents to dollars per query.

How do I stop agent loops from eating my LLM budget?

Cap iterations at 5 max, track per-user costs, set budget alerts. Tools like LLMeter handle the heavy lifting.

Is LLMeter free and worth using for production agents?

Yes—open-source AGPL-3.0, supports major providers. Essential for multi-tenant setups to avoid surprise bills.

🤖 AI & Machine Learning

Agent Loops: The Hidden Budget Black Hole Nobody Warns You About

Picture this: your shiny new AI agent nails the demo, then quietly racks up a $4 bill on one user query. I've seen it happen—again and again.

theAIcatchup Apr 09, 2026 3 min read

Spiking LLM cost graph from uncontrolled agent loops in production dashboard

⚡ Key Takeaways

Agent loops turn cheap LLM demos into production budget nightmares—cap iterations now. 𝕏
Per-tenant cost tracking is non-negotiable; global views hide the culprits. 𝕏
LLMeter offers open-source salvation from denial-of-wallet attacks. 𝕏

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theAIcatchup

Community-driven. Code-first.

#API budget #LLM costs #LLMeter #agent loops

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Originally reported by Dev.to

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