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AI API engineering guides

Build a more reliable AI API gateway.

Original, production-focused guidance on provider migration, streaming, routing, observability, usage accounting, and cost control.

Software engineers reviewing an API gateway migration architecture on office monitors
API Architecture

OpenAI-Compatible API Gateway: A Migration Checklist for Developers

A production-focused checklist for moving an application to an OpenAI-compatible API gateway without breaking streaming, tools, errors, usage, or billing.

11 min read · Read article →Backend engineer monitoring a live API event stream and latency charts
Developer Guides

Streaming AI Responses Across Providers Without Rewriting Your Client

A practical engineering guide to SSE framing, proxy buffering, timeouts, cancellation, retries, observability, and usage settlement for streaming AI APIs.

10 min read · Read article →Engineering and finance colleagues reviewing AI API usage costs and budget controls
Cost Control

API Cost Controls: Keys, Budgets, Rate Limits, and Reconciliation

A practical framework for controlling AI API spend with scoped keys, budgets, rate limits, reservations, price versions, alerts, and usage reconciliation.

11 min read · Read article →