14 resources

LLM guides, tutorials & concepts

Practical resources for building with multiple AI models. From your first API call to production-grade failover and cost optimization — everything you need to ship reliable AI features.

Where to start

New to multi-model?

Start with our LLM routing guide to understand why teams use multiple models. Then read the orchestration overview to see how routing, failover, and evaluation fit together.

Migrating from a provider?

See our migration guides for OpenAI, Anthropic / Claude, or OpenRouter. Migration typically takes under 15 minutes.

Optimizing costs?

Read the LLM cost optimization guide and explore BYOK (bring your own key) to use your existing provider keys through LLMWise routing.

How-to guides

Step-by-step tutorials for common integration, migration, and optimization tasks.

How to Compare LLM Models Side by Side
5 steps
LLM Proxy: One Endpoint, Every AI Provider
6 steps
LLM Orchestration: Build Multi-Model AI Pipelines
6 steps
How to Use the Claude API: Complete Developer Guide
6 steps
LLM Cost Calculator: How Much Does Each AI Model Cost?
6 steps
How to Get an OpenRouter API Key (and a Faster Alternative)
5 steps
Prompt Optimization: Better Results, Fewer Tokens, Lower Costs
6 steps
LLM Guardrails: Keep AI Outputs Safe and On-Topic
6 steps
LLM cost optimization for teams shipping real traffic
5 steps
LLM failover routing without fragile hand-built recovery logic
5 steps
BYOK LLM gateway for teams that already have provider accounts
5 steps

SDK & integration guides

Language-specific quickstarts with install commands, code examples, and feature walkthroughs.

Python Integration
Call GPT, Claude, Gemini, and more from Python with one API key. Python quicksta
TypeScript Integration
Call GPT, Claude, Gemini, and more from TypeScript with one API key. TypeScript

Use cases by industry

How teams in different industries use multi-model APIs to solve real problems.

AI concepts explained

Core concepts for understanding multi-model AI architectures.

What Is a Context Window?
A context window (also called context length or context limit) defines the maxim
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