One page: the four AgentOps pillars for running a video AI agent in production — observability (trace every step; one interaction ≈ 40-75 spans; OpenTelemetry GenAI spans); evaluation (golden set; end-to-end / trajectory / component levels; LLM-as-judge on a 0-5 scale; pass^k reliability — 90% per step holds at 43% over 8 steps); cost (cost-per-successful-task, not per-token; 3-8 calls and 50k-200k tokens per task; route, cache, batch); and security (OWASP ASI Top 10, indirect prompt injection, least-agency, input guardrails, human-in-the-loop gate). Plus a scoping checklist of questions to ask before shipping.
Download free PDF
The book · Volume 7 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Real-Time Pipelines and Agents to Serving, Cost, Compliance, and Verticals
This checklist covers the four AgentOps pillars for a video AI agent in production: observability, evaluation, cost per successful task and security. Volume 7 covers running agents in production in depth, from agent engineering and serving with vLLM, Triton and TensorRT to cost per stream-hour and EU AI Act obligations. Written by Nikolay Sapunov, CEO at Fora Soft.
Getting a video AI agent ready for production monitoring and evaluation?
Share your agent design, and we will set up tracing, an evaluation set and cost tracking so you can see reliability before users do. 250+ video products shipped since 2005.
You get a realistic estimate, technical recommendations and next steps. Free, no obligations.
