Reliability, cost and operations

Production AI

Engineering playbooks for routing, fallback, budgets, observability and resilient AI applications.

What this section delivers

Move beyond a successful demo and design AI requests that survive provider errors, traffic spikes and model changes.

Example article

The first article demonstrates the editorial structure this section will use: direct answer, practical steps, limitations and FAQ.

Production AI / Sample

A practical architecture for retrying providers, switching models and protecting quality without creating an uncontrolled fallback chain.

Retry the same route only for transient failures such as timeouts and 429 responses.

Fail over to a model that satisfies the same capability and output-contract requirements.

Set a maximum cost and latency budget for the entire request, not for each attempt.

Log provider, model, error class, retry count and final route for every request.

Explore the full CometAPI knowledge hub

Model guides, pricing, comparisons and production workflows.