Auto Router

Infrastructure service

Add-on for the LiteLLM AI Gateway that classifies each request and sends it to the model that should handle it, using heuristics, an LLM classifier or keyword rules, and reports the savings per request.

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TypeInfrastructure service
RoleBundled component
AvailabilitySold
DeploymentSelf-hosted
Intended forDeveloper, Enterprise
SecurityNot recorded
StatusBeta
Sold withinAI Gateway (LiteLLM Proxy) — Paid add-on to the parent
PricingNot recorded — official pricing ↗

What it does

docs.litellm.ai

Sources

Pricing

Pricing page · 18 Oct 2026

The pricing page lists only Open Source ($0) and Enterprise ("Talk to sales"); Auto Router has no row or price of its own.

Description

Official documentation · 18 Oct 2026

"The gateway classifies each request and picks the model."; "Classifier choices. Heuristics, an LLM, JEV through TypeSafe System One Choice, keyword rules, or a custom plugin"; "Savings reported per request."

What it does

Official documentation · 18 Oct 2026

"Send each request to the best model"; "Any model, any provider, per tier."

Sold within

Official documentation · 18 Oct 2026

The main docs page is titled with an [Add-on] tag, and the feature history says "One Capability router and one Fuse v2 router are available without the auto_router entitlement. Additional routers of either type require it."

Name

Official documentation · 18 Oct 2026

Page title "Auto Router [Add-on]"; Build menu entry "Auto Router".

URL

Official documentation · 18 Oct 2026

The product's own docs page, titled "Auto Router [Add-on]" and linked from the docs Build menu as Auto Router ("Send each request to the best model").

Deployment

Official documentation · 18 Oct 2026

Configured in the self-hosted proxy: "config.yaml: one router entry whose tiers name other models in the same file."

Interfaces

Official documentation · 18 Oct 2026

"Dashboard: Models + Endpoints, Add Model, Auto Router tab"; the router is then called through the gateway's "/v1/chat/completions" with its model name.

Also from LiteLLM

Open LiteLLM in the directory

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