LiteLLM Tutorial: Unified LLM Gateway and Routing Layer

June 15, 2026 · View on GitHub

Build provider-agnostic LLM applications with BerriAI/litellm, including routing, fallbacks, proxy deployment, and cost-aware operations.

Why This Track Matters

As teams add more models/providers, integration and reliability complexity grows quickly. LiteLLM is often used as the control plane for that complexity.

This track focuses on:

one interface across many model providers
resilient fallback and retry strategies
cost and latency observability
proxy-mode operations for team and production usage

Current Snapshot (auto-updated)

repository: BerriAI/litellm
stars: about 50.4k
GitHub release reference: v1.89.0 (checked 2026-06-15; release metadata on GitHub)

Mental Model

flowchart LR
    A[Application Request] --> B[LiteLLM Interface]
    B --> C[Routing and Policy Layer]
    C --> D[Provider APIs]
    D --> E[Fallback and Retry]
    E --> F[Usage and Cost Telemetry]

Chapter Guide

Chapter	Key Question	Outcome
01 - Getting Started	How do I install and make first cross-provider calls?	Working baseline integration
02 - Provider Configuration	How do I configure multiple providers safely?	Unified provider setup strategy
03 - Completion API	How do I keep completion code portable?	Provider-agnostic request patterns
04 - Streaming and Async	How do I handle real-time and async workloads?	Streaming-ready service behavior
05 - Fallbacks and Retries	How do I make LLM calls resilient?	Reliability playbook
06 - Cost Tracking	How do I monitor and control spend?	Cost governance model
07 - LiteLLM Proxy	How do I run LiteLLM as a shared gateway?	Team-ready proxy operations
08 - Production Deployment	How do I scale and secure deployments?	Production operations baseline

What You Will Learn

how to use LiteLLM as a provider abstraction layer in real applications
how to design fallback/routing patterns that reduce outage impact
how to implement usage and spend observability across providers
how to run LiteLLM proxy mode in production environments

Source References

Start with Chapter 1: Getting Started.

Full Chapter Map

Generated by AI Codebase Knowledge Builder