AI Gateway TOPIC HUB
AI Gateway Guides: Routing, Compatibility and Production Architecture
Deep guides on AI gateways, OpenAI-compatible request layers, multi-provider routing, failover and the architecture behind production model traffic.
8 GUIDES
Build depth from fundamentals to production decisions.
OpenAI Proxy for Production: Architecture, Security and the Path to an AI Gateway
Learn how an OpenAI proxy works in production, what to centralize first, and when routing, observability, cost and reliability requirements turn a proxy into an AI gateway.
OpenAI-Compatible AI Gateway: Architecture, Migration and Production Checklist
Learn how an OpenAI-compatible AI gateway lets teams centralize model traffic without rewriting application code, plus the migration, routing and observability checks that matter in production.
AI Gateway vs API Gateway: What Changes When the Traffic Is LLM Requests?
Compare AI gateways and traditional API gateways across model routing, token economics, provider abstraction, observability, retries and governance.
AI Model Routing Strategies: Cost, Latency, Quality and Fallback
Compare practical AI model routing strategies for production: static routing, weighted traffic, cost-aware decisions, latency-aware routing and explicit fallback.
Build vs Buy an AI Gateway: What Teams Underestimate
Building an AI gateway starts with forwarding requests. Production requirements add routing, telemetry, cost attribution, reliability, governance and ongoing maintenance.
LLM Proxy vs AI Gateway: What Is the Difference?
An LLM proxy forwards requests. An AI gateway can add routing, telemetry, reliability and policy. Learn where the boundary matters in production.
Multi-Provider LLM Routing: Reliability, Cost and Control
Multi-provider LLM routing lets teams choose models without hard-wiring every application to one vendor. Learn routing patterns for production AI.
What Is an AI Gateway? A Practical Guide for Production AI
Learn what an AI gateway does, how it sits between applications and model providers, and why routing, observability, reliability and cost control converge there.
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