LLMeter Blog
Practical guides on tracking, budgeting, and optimizing LLM API spend across OpenAI, Anthropic, Google AI, DeepSeek, and OpenRouter.
- ·8 min read
How to Track Anthropic API Costs: Claude Spend by Model and Customer
Anthropic's console shows total Claude spend but not which model, feature, or customer drove it. Here's how to get per-model and per-customer cost breakdowns using the Anthropic Usage API and the llmeter SDK.
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How to Set LLM API Budget Alerts (Before Your Bill Surprises You)
LLM API bills compound fast: one agentic loop, one runaway batch job, or one heavy user can push a day's spend into territory you didn't plan for. Here's how to set threshold alerts, per-customer caps, and anomaly detection before the invoice arrives.
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How to Scrape LLM API Costs into Grafana Using Prometheus
LLMeter exposes a native Prometheus endpoint at /api/v1/metrics. This guide shows you the full setup: scrape config, PromQL queries, Grafana panel JSON, and alerting rules — copy-paste ready.
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5 Proven Ways to Reduce LLM API Costs Without Sacrificing Quality
LLM API bills grow faster than usage because of hidden multipliers: output token pricing, prompt bloat, over-engineered models, and agentic loops. Here are five strategies that cut spend 40–80% without touching quality.
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How to Track OpenAI API Costs Per Model, Project, and Customer in 2026
OpenAI's dashboard shows total spend but not which model, project, or customer drove it. Here's how to get per-model and per-customer cost breakdowns — with and without a proxy.
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LLM Cost Monitoring Without a Proxy: Why It Matters in 2026
Proxy-based LLM cost trackers add latency, see your prompts, and break when providers change SDKs. Here is how usage-API monitoring works and when to choose it.
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