LiteLLM

LiteLLM is an LLM gateway, or OpenAI proxy, for managing authentication, load balancing, spend tracking, and access across 100+ LLMs.

KI Entwickler-Tools

Sprachmodelle

Website Besuchen

Overview

LiteLLM is an LLM gateway, also described as an OpenAI proxy, built to manage authentication, load balancing, and spend tracking across more than 100 LLMs. The product positions itself as a way to give developers model access through the OpenAI format while keeping control in a central proxy.

The site frames LiteLLM as useful for platform teams and organizations that need to manage access for many developers and projects. It supports model fallbacks, spend tracking, budgets, rate limits, guardrails, and observability features, with both open source and enterprise offerings available.

Features

OpenAI-compatible gateway

Provide a single OpenAI-compatible gateway for calling models across more than 100 LLMs, while keeping the same request format across providers.

Spend tracking and cost attribution

Track usage by key, user, team, or organization, and attribute spend across providers such as OpenAI, Azure, Bedrock, and GCP.

LLM fallbacks and load balancing

Route requests across providers to handle outages and reuse multiple deployments under the same model name when needed.

Budgets and rate limits

Apply budgets and rate limits, including RPM and TPM tracking, to help manage usage across teams and deployments.

Operational controls

Add guardrails, prompt management, and pass-through endpoints to shape how requests move through the proxy.

Logging and observability

Use logging and observability features such as s3 logging, OTEL logging, and integrations like Langfuse, Arize Phoenix, and LangSmith.

Use Cases

Standardize model access
Centralize access to multiple model providers behind a single proxy so developers can call models without learning provider-specific formats.
Handle outages and rate limits
Route traffic to alternate providers or deployments when a model is unavailable or rate-limited, helping teams keep applications running.
Manage spend across teams
Track usage by team, org, key, or user so platform owners can attribute cost and monitor consumption across projects.
Control access in larger organizations
Use enterprise identity and admin controls when many developers need temporary or group-based access to models.
Self-managed enterprise deployment
Deploy the gateway in a self-managed environment when the organization needs its own infrastructure or upgrade assistance.

Pros and Cons

Pros

Uses an OpenAI-compatible format, which can reduce the work needed to connect multiple providers.
Covers access control, spend tracking, load balancing, and model fallbacks in one gateway.
Supports self-managed deployment through the enterprise offering and on-prem deployment messaging.
Includes enterprise identity and admin features such as SSO, SCIM, OIDC/JWT auth, and team/org admins.
Shows a broad ecosystem footprint through integrations and large reported usage figures on the home page.

Cons

The pricing page was not available in the collected sources, so the public plan details and exact commercial terms are not confirmed here.
Some capabilities are mentioned at a high level on the site, but not all have dedicated source pages in the collected evidence.

FAQ

What is LiteLLM?

LiteLLM is an LLM gateway / OpenAI proxy that helps teams manage authentication, load balancing, and spend tracking across 100+ LLMs. The source describes it as being available in the OpenAI format.

Can LiteLLM be self-hosted?

The source indicates that LiteLLM can be deployed on-prem and that LiteLLM Enterprise is available as a secure, self-managed deployment.

Does LiteLLM have both open source and enterprise options?

Yes. The home page describes Open Source as free and the enterprise page describes Enterprise as a separate offering with features such as SSO, SCIM, OIDC/JWT auth, support, and live upgrade assistance.

Who is LiteLLM intended for?

The published source does not provide a full setup guide, but it emphasizes OpenAI-compatible access, model access control, and enterprise identity features for organizations that need to manage access for many developers and projects.

Quick Facts

Category: LLM gateway / OpenAI proxy
Primary users: Platform teams and organizations managing LLM access for developers and projects
Deployment: Cloud, open source, and self-managed enterprise deployment
Format: OpenAI-compatible
Pricing: Open source is listed as free; enterprise is contact sales
Source domain: litellm.ai

LiteLLM Alternativen

OpenAI

OpenAI offers ChatGPT, API, Platform tools, and Codex for conversational AI, model building, and research and product updates.

AakarDev AI

AakarDev AI helps teams manage AI provider access, project setups, logs, and analytics in one dashboard with BYOK support.

书生

书生 is a general-purpose large model suite for language, multimodal, weather, ocean, industrial design, 3D, finance, and scientific discovery tasks.

Orca

Orca is an Agent Development Environment for shipping with coding agents, running multiple CLI agents in parallel across isolated worktrees, with desktop and mobile workflows.

Firebase Studio

Firebase Studio is a web-based workspace for full-stack app development with Gemini-assisted coding, app previews, cloud emulators, collaboration, and browser deployment.

EZsite AI

EZsite AI is an AI website builder that turns a URL into a fullstack React or Vue.js app with hosting, custom domains, code export, and backend features.