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Why your LLM bill exploded overnight (and how to regain control)

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LLM bills spike overnight not from steady usage but from retry storms, agent loops, prompt bloat, and RAG over-retrieval compounding with no shared control point. Provider dashboards often miss these patterns until it's too late. The recommended approach is routing all LLM traffic through a single boundary (like a federated graph router), enforcing retry budgets, token caps, circuit breakers, and cost-aware model routing centrally, and monitoring unit metrics like tokens per request, retry rate, and cost per tenant to catch spikes within minutes. A concrete incident response playbook covers the first 60 minutes: diagnose, contain, then resolve. WunderGraph's Cosmo Router is presented as the enforcement layer for these controls.

    #llm#ai-agents#graphql#rag#finops
Jul 08•13m read time•From wundergraph.com
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When Your LLM Bill ExplodesRegaining Control: The Guardrails That Work15-Minute Triage ChecklistFirst-Hour RunbookRAG Cost Check: 10-Minute DiagnosticImplement Cost Controls with WunderGraphThe Path ForwardFrequently Asked Questions (FAQ)Sources & further reading
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WunderGraph

Wundergraph is a blog or publication focused on GraphQL, a query language and runtime for APIs. Thro...

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