Can LiteLLM Route Requests Across Multiple LLM Providers Automatically?

Yes. LiteLLM's proxy server supports weighted-routing failover, meaning it can automatically redirect requests to a fallback provider if the primary one fails, hits rate limits, or exceeds budget. This is configurable per model group in the YAML config.

How Does LiteLLM Handle Per-User Or Per-Team Budget Enforcement?

LiteLLM supports multi-tenant spend tracking natively. You can assign virtual API keys to specific users, teams, or projects, set token or dollar-based budgets, and enforce RPM/TPM limits — all managed through the admin dashboard or the REST API.

What Is The Difference Between The LiteLLM Python SDK And The Proxy Server?

The Python SDK is a library you embed directly in your application code, ideal for individual developers building LLM-powered apps. The Proxy Server (AI Gateway) is a standalone service you deploy centrally, suited for ML platform teams that need to give multiple engineers or applications unified, governed access to LLMs.

Does LiteLLM Support MCP Tools And Agent-To-Agent Protocols?

Yes. LiteLLM includes an MCP Gateway that connects MCP servers to any supported LLM, with per-server OAuth, RPM rate limiting, and JWT issuer-scoped auth. It also supports the A2A agent protocol for providers like LangGraph, Vertex AI Agent Engine, Azure AI Foundry, and Bedrock AgentCore.

What Observability And Logging Integrations Does LiteLLM Support?

LiteLLM integrates with Langfuse, Langsmith, Arize Phoenix, MLflow, Lunary, and any OpenTelemetry-compatible backend. Every request, token count, latency, and error can be streamed in real time, with tool call tracing available in the Logs v2 interface.

Listed · Reviewed Jun 2026 · 7-criteria rubric

AI Development Tools

LiteLLM

Name: LiteLLM
Availability: InStock
Author: BerriAI Inc.

Unified AI Gateway To Call 100+ LLMs In One Format

by BerriAI Inc. · San Francisco, CA, USA · Founded 2023

Visit LiteLLM →

Pricing

Contact sales

What is LiteLLM?

LiteLLM is an open-source AI Gateway and Python SDK built by BerriAI (YC W23) that gives engineering teams a single, standardized interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — all using the OpenAI format.

It eliminates API fragmentation by providing drop-in provider compatibility, virtual key management, multi-tenant spend tracking, load balancing, guardrails, and an admin dashboard out of the box.

Deployable as a self-hosted proxy or used directly as a Python library, LiteLLM is the go-to infrastructure layer for ML platform teams and developers who need production-grade LLM access without the overhead of managing provider-specific SDKs.

LiteLLM — Unified AI Gateway To Call 100+ LLMs In One Format Whether you're evaluating LiteLLM for your team or comparing it to alternatives in the AI Development Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.

LiteLLM Demo Video

Key Features 8

Unified AI gateway to call 100+ LLMs using a single OpenAI-compatible interface

Drop-in OpenAI format compatibility — swap providers without rewriting code

Built-in load balancing with automatic retry and fallback logic across deployments

Virtual keys with per-user, per-project spend tracking and budget controls

Native MCP server and A2A agent protocol support for modern AI workflows

Real-time observability with Langfuse, LangSmith, MLflow, and Helicone integrations

Self-hosted proxy server with admin dashboard, SSO, and enterprise-grade security

Ultra-low 8ms P95 latency at 1,000 requests per second for production-grade performance

Who Is LiteLLM For

1 ML Platform Engineers

2 Backend AI Developers

3 DevOps & Infrastructure Teams

4 AI Startup Founders

5 Enterprise Gen AI Teams

6 Python SDK Integrators

Pros & Cons

Pros 4 benefits

40K+ GitHub Stars Traction
Zero Vendor Lock-In
Sub-10ms Gateway Latency
Self-Hosted Data Privacy

Cons 3 limitations

Enterprise Pricing Opaque
Proxy Config Complexity
No Native GUI Setup

Frequently Asked Questions

5 questions

Who is LiteLLM for?

LiteLLM is most useful for ML Platform Engineers, Backend AI Developers, DevOps & Infrastructure Teams and AI Startup Founders.

LiteLLM pricing

LiteLLM uses contact-based (enterprise) pricing. Contact sales. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.

Trusted Reviews

Verified Platforms

5.0 Product Hunt (103 upvotes)

What's New

weekly

Claude Fable 5, A2A Agent Providers & MCP Per-Server Controls 1.89.0

Added Claude Fable 5 across Anthropic, Bedrock, Azure AI, and Vertex at 1M context with adaptive thinking; two new A2A agent providers (watsonx Orchestrate, LangFlow); MCP per-server environment variables and RPM rate limiting with OAuth passthrough.

Jun 10

MCP Access-Group Authorization & Typed OpenTelemetry 1.88.0

Introduced MCP access-group authorization for fine-grained tool access control, added typed OpenTelemetry server spans for standardized observability, and included Claude Opus 4.8 day-0 support.

Jun 4

View all updates

User Base

3.4M+ daily downloads

Active Users

Security & Privacy

Self-Hosted (Your Infrastructure)

SOC 2 Type I Certified SOC 2 Type II Certified ISO 27001 Certified

Zero Telemetry On Self-Hosted Deployments Docker Image Signing With Cosign (Sigstore) Grype Vulnerability Scanning On All Built Images Audit Logs For Auth, Creation, And Config Changes JWT-Based Session Cookies With 24-Hour Expiry CodeQL Static Analysis Via GitHub Actions CI/CD

Collaboration & Teams

Team Workspaces Multi-User Access Role Permissions Shared Projects Version History Activity Log

Learning & Support

Resources

Documentation Blog

Community

Forum Discord

Support Channels

Email Priority Onboarding

Localization

UI Languages

Content Languages

Recognition & Trust

Featured on PH YC Backed VC Funded Open Source

Media: Featured in TechCrunch, The Verge, LinkedIn Engineering

All Features of LiteLLM