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LiteLLM

LLM Orchestrators

Overview

A lightweight Python library that allows you to call 100+ LLM APIs using the OpenAI format. It's the standard for building model-agnostic AI applications and managing model failover and load balancing.

LiteLLM lets you call 100+ model providers using a single OpenAI-style interface, plus a proxy server that adds routing, fallbacks, budgets, and logging. It is the de facto standard for keeping applications model-agnostic and resilient. It targets developers who want to avoid lock-in and manage many providers cleanly.

Key Features

Unified OpenAI-format calls to 100+ providers
Proxy with routing and fallbacks
Budgets, keys, and rate limits
Logging and observability hooks
Open-source

Best For

Developers building model-agnostic, resilient applications across many providers.

Pros & Cons

Pros

Avoids provider lock-in
Resilience via fallbacks and routing
Open-source and widely adopted

Cons

Another layer to operate at scale
Proxy adds latency overhead

Pulse Verdict

“The universal translator for AI APIs. LiteLLM is the essential utility for developers who want to avoid model lock-in and build resilient AI systems.”

Pricing

Open-source and free; paid enterprise tier available.

Pricing changes often — confirm current plans on the official site.

Visit Official Website →

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See LiteLLM Compared

AI Infrastructure

Best LLM Gateways 2026: OpenRouter vs LiteLLM vs Portkey

Master AI Automation 2026 and Generative Engine Optimization. Comparing OpenRouter, LiteLLM, and Portkey for LLM routing—managed access, self-hosting, guardrails, and added latency.