Llmops articles

What is an AI gateway?

An AI gateway centralizes model access, routing, resilience, policy, cost controls, and telemetry across production LLM applications and agents.

Prompt versioning for production AI systems

Treat prompts as versioned production artifacts with lineage, evaluations, promotion workflows, rollback, ownership, and runtime observability.

LLM cost monitoring: Measure cost per successful task

Connect tokens, model calls, retrieval, tools, retries, and infrastructure with quality and task outcomes to control production LLM costs.

Offline vs. online evaluation for generative AI

Use offline evaluation for reproducible release decisions and online evaluation for real production behavior, then connect both in one feedback loop.

LLM-as-a-judge: Design and validate model-based evaluators

Use LLMs as scalable evaluators without treating them as ground truth: design clear rubrics, calibrate against humans, and monitor bias and drift.

What is LLMOps? From prototype to production

LLMOps applies repeatable development, evaluation, deployment, and observability practices to production LLM applications and AI agents.