LLMs & AI Engineering · Building with LLMs
Running an Agent in Production: Logs, Cost & Human Review
What changes when an LLM agent leaves the demo: step-level tracing, cost and latency budgets, offline and online evals, guardrails and permission tiers, human approval for irreversible actions, and incident review.
Step 1 of 6 · Overview35 min read ·
Key idea
Prereqs: Tool use & agents; Evals. Next: Capstone: reconciliation copilot with evals. Sources: Anthropic, 'Building effective agents' (2024); OpenTelemetry GenAI conventions; LangChain/Arize docs on agent observability.Next: 1. Observe everything