1
Unify requests
Normalize authentication, models and response contracts.
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.
Structured learning path
Learn in the order developers build.
Start with the decision, move into implementation and finish with production checks.
2
Route workloads
Select models by capability, cost, latency and availability.
3
Protect traffic
Apply rate limits, queues, budgets and circuit breakers.
4
Observe outcomes
Track route decisions, fallback reasons and task success.
Core guides
Build topical authority, not article islands.
Foundation01
What is an LLM Gateway?
The control layer between applications and model providers.
Open guideArchitecture02
Model Router Architecture
Capability-aware routing policies for multi-model applications.
Open guideIntegration03
Multi-Model API Design
One request contract across multiple providers and models.
Open guideReliability04
Fallback Strategy
Separate retries, provider failover and quality fallback.
Open guideOperations05
Rate Limits and Load Balancing
Protect throughput without creating cascading failures.
Open guide Use case
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
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Go from model shortlist to a working production request.
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Build an AI request layer that survives provider and model changes.
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Move from a prompt demo to an observable agent workflow.
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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.
AEO-ready answers
Frequently asked questions
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.