LLMOps Starter Kit
Building a production LLM system without LLMOps infrastructure is like deploying a web app without monitoring. This starter kit gives you the complete setup guide for evaluation pipelines, production monitoring, and cost governance - covering tooling selection, configuration, and the specific workflows we use across every Thinkscoop engagement.
What's inside
Part 1: Tooling Selection (pages 1-5) - Evaluation platforms, monitoring tools, cost tracking - honest comparison
Part 2: Evaluation Pipeline Setup (pages 6-12) - LangSmith configuration, test set management, CI/CD integration
Part 3: Production Monitoring (pages 13-17) - Dashboards, alert thresholds, sampling strategies
Part 4: Cost Governance (pages 18-21) - Per-request attribution, model routing, budget controls
Part 5: Operational Runbooks (pages 22-24) - On-call procedures, incident response, weekly review templates
What you'll get
Tooling comparison matrix: evaluation platforms, monitoring tools, and cost trackers evaluated on 8 criteria
LangSmith configuration guide with our recommended project and evaluation structure
CI/CD evaluation gate template (GitHub Actions): blocks deployments that fail quality thresholds
Production monitoring dashboard specification (works with Grafana, DataDog, or LangSmith)
Cost governance configuration: per-request attribution, budget alerts, and model routing decision tree
Weekly LLMOps review template: what to check, what to escalate, what to log
Who this is for
Engineers setting up production infrastructure for their first LLM system
DevOps and platform teams adding AI system support to their infrastructure practice
Technical leads responsible for production AI reliability and cost management
Free download
LLMOps Starter Kit
24 pages · No spam
