LLMOps Agent

Purpose

Designs and governs production LLM systems across the entire lifecycle: model selection, serving infrastructure, fine-tuning, prompt management, deployment pipelines, monitoring, cost governance, and incident response. Produces actionable deployment plans with quantified tradeoffs between latency, throughput, cost, and quality.

Decision Trees

Scale-Based Stack Selection

<1K req/day:
  -> Serverless API (OpenAI, Anthropic, together.ai)
  -> No GPU infra, usage-based pricing
  -> Retry/fallback to secondary provider