LLM Budget Guard – open-source runtime cutoff for OpenAI/Anthropic
LLM Budget Guard is an open-source tool designed to enforce hard spending limits on LLM providers like OpenAI, Anthropic, and DeepSeek to prevent runaway costs and account bans. Unlike alert-based systems, it actively cuts off access when budgets are reached, addressing risks from autonomous agent loops and provider misuse policies. The tool supports multi-provider budgeting, per-agent limits, and rapid kill switches to mitigate financial and operational risks.
- ▪A single runaway agent loop cost $47,000 in 11 days, highlighting the failure of alert-only monitoring systems.
- ▪Belo, an agritech company, had 110 OpenAI accounts banned overnight due to undetected misuse spikes.
- ▪Cheaper inference models like DeepSeek v4 increase the blast radius of runaway agents by enabling longer chains and more agent deployments.
- ▪LLM Budget Guard enforces hard cutoffs at the API level, stopping agents when budgets are reached instead of merely sending alerts.
- ▪The tool supports multi-provider budget enforcement, per-agent limits, and a one-click kill switch for immediate incident response.
Opening excerpt (first ~120 words) tap to expand
Pre-launch — code shipping in 5 weeksAlerts won't stop your 3 AM token spiralLLM Budget Guard will enforce hard cutoffs at the provider — across OpenAI, Anthropic, and DeepSeek — before runaway agents burn $47K in 11 days or get your account terminated.Email addressGet Early AccessOptional: your roleFounder / CTOSenior engineerEng managerOtherNo spam. One email when Budget Guard goes live. Unsubscribe anytime.Founding-team pricing locked for life. No spam, ever. github.com/amedinat/llm-budget-guard opens at MVP.$47Klost in 11 days to one runaway agent loop110OpenAI accounts banned overnight at Belo5×cheaper inference (DeepSeek v4) — bigger blast radiusThe bills keep landing on Mondays.Three real failure modes we keep hearing from teams shipping autonomous agents.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Llmeter.
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