Observability

P99 TTFT spikes every Tuesday at 9am, order the triage steps

Design a multi-tenant remote MCP server that exposes each customer's Postgres database. Walk through transport, auth, isolation, and observability.

Flashcard: what is an agent 'trajectory' and why does it matter for evaluation?

What does one agent trace capture step by step?

What does observability mean for production LLM agents, and how is it different from app monitoring?

Design an observability and debugging system for a production multi-agent application with 5+ collaborating agents.

You're shipping a prompt change to production. What is the strongest reason to treat prompt-template version IDs (e.g. v1.7.2) as first-class artifacts, separate from your code release version?

What traces and metrics do you need to debug a P99 TTFT regression in production LLM serving?

Which metrics are essential to debug a P99 TTFT regression in production LLM serving?

How should a production MCP host handle a tool call that exceeds the latency budget?

What is the correct approach when an MCP tool call exceeds its per-tool timeout?

What metrics would you instrument to evaluate the health of a production MCP integration?

What does a rising approval-rejection ratio signal in a production MCP integration?

How can an agent confidently produce a wrong answer without raising any runtime exception?

Why is exception monitoring alone insufficient to detect silent agent failures?

What events must be logged in every agent execution trace for debugging to be tractable?

Which events must every agent execution trace capture to enable debugging of production failures?