Production systems

LLM Infrastructure

Design model routing, AI gateways, fallback strategies, load balancing and rate-limit controls for reliable LLM applications.

Build an AI request layer that survives provider and model changes.

Learn in the order developers build.

Start with the decision, move into implementation and finish with production checks.

Structured learning path

Unify requests

Normalize authentication, models and response contracts.

Route workloads

Select models by capability, cost, latency and availability.

Protect traffic

Apply rate limits, queues, budgets and circuit breakers.

Observe outcomes

Track route decisions, fallback reasons and task success.

Build topical authority, not article islands.

Core guides

5 guided starting points

Foundation01

What is an LLM Gateway?

The control layer between applications and model providers.

Open guide

Architecture02

Model Router Architecture

Capability-aware routing policies for multi-model applications.

Open guide

Integration03

Multi-Model API Design

One request contract across multiple providers and models.

Open guide

Reliability04

Fallback Strategy

Separate retries, provider failover and quality fallback.

Open guide

Operations05

Rate Limits and Load Balancing

Protect throughput without creating cascading failures.

Open guide

Protect a production chat workflow

Route normal traffic to the default model and fail over only when the request remains within budget and quality constraints.

Capability-compatible routes

Request-level cost budget

Timeout and retry policy

Fallback quality monitoring

Turn the guide into a request.

Try a model in the Playground, then use the Quickstart to move the same pattern into Python or Node.js.

Try without coding Open Quickstart

Explore every growth topic.

AI API Guides

Go from model shortlist to a working production request.

LLM Infrastructure

Build an AI request layer that survives provider and model changes.

AI Agent

Move from a prompt demo to an observable agent workflow.

Cost Optimization

Lower cost without hiding quality or reliability trade-offs.

Model Comparison

Select a model based on the job, not the leaderboard headline.

Tutorials

Copy a working pattern, understand it and adapt it to your application.

Frequently asked questions

AEO-ready answers

What is an LLM gateway?

An LLM gateway centralizes authentication, routing, observability, limits and provider abstraction for model requests.

Is a model router the same as a fallback?

No. Routing chooses the best initial route; fallback selects another compatible route after a defined failure or quality condition.