Cost Tracking Dashboard
Implement token usage tracking, cost attribution, and create a Grafana dashboard for LLM spend visibility.
Lab Overview
🛠Lab from the AI Platform Engineering Bootcamp. Used in Week 2. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/ai-platform-engineering-bootcamp Parent course(s):
- Week 2: LLM Integration and API Patterns (slug: llm-integration-102)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running Platform Assistant capstone arc that grows across all 8 weeks of the bootcamp.
This hands-on lab teaches you to build cost tracking for LLM applications.
You'll learn to:
- Track token usage per request
- Calculate costs based on provider pricing
- Attribute costs to teams and applications
- Export metrics to Prometheus
- Create Grafana dashboards for cost visibility
What You'll Learn
Track LLM token usage per request and calculate costs based on provider pricing models
Attribute costs to teams and applications using labels and metadata
Export cost and token metrics to Prometheus using a custom Python exporter
Build a Grafana dashboard to visualize LLM spend trends and per-team attribution
Identify cost optimization opportunities by analyzing usage patterns across providers
Prerequisites
basic-metrics-concepts
kubernetes-basics
Technologies Covered
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