LiteLLM
Call 100+ LLMs with the same OpenAI code you already have. LiteLLM handles the translation, tracks costs, runs fallbacks, and proxies for your whole team.
The verdict on LiteLLM: Developers who want to switch between GPT-4o, Claude, and Gemini without rewriting integration code LiteLLM's value is concrete: switching from GPT-4o to Claude to Gemini is a one-line config change rather than a rewrite of your integration code, because it translates every provider's API into a single OpenAI-compatible interface. Pricing: Open source / Free (Enterprise proxy available).
Best For
Developers who want to switch between GPT-4o, Claude, and Gemini without rewriting integration code
Standout Feature
A one-line config change swaps providers, with built-in cost tracking and fallback routing across 100+ models
TL;DR
The simplest way to avoid vendor lock-in, self-hosting the proxy is real operational overhead for a small team.
Alternatives
Fit Score: use-case reference
How this is scoredLiteLLM scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
Developers wanting to switch between GPT-4o, Claude, and Gemini via a one-line config change without rewriting integration code
4.6/5- Capability
- 5/5
- Reliability
- 4/5
- Value
- 5/5
- Ease
- 4/5
- Compatibility
- 5/5
Directly the tool's bestFor and standout: a one-line config change swaps providers with built-in cost tracking and fallback routing across 100+ models, matching pros on zero vendor lock-in and the largest provider coverage.
A small team wanting SSO and audit logs without taking on proxy self-hosting overhead
2.6/5- Capability
- 3/5
- Reliability
- 3/5
- Value
- 2/5
- Ease
- 2/5
- Compatibility
- 3/5
The tool's own cons state self-hosting the proxy adds real operational overhead and SSO and audit log features require the paid enterprise tier.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
LiteLLM translates calls to 100+ LLMs into a single OpenAI-compatible interface. Switching from GPT-4o to Claude to Gemini is a one-line config change. Run it as a local library, a self-hosted proxy gateway for your whole team, or call the Python SDK directly. Built-in cost tracking, usage logs, rate-limit handling, fallback routing, and per-user budget controls make it practical for production-scale deployments.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Zero vendor lock-in: swap any provider with one config line
- • Largest provider coverage of any LLM abstraction layer
- • Fully open source with a large and active community
- • Self-hosting the proxy adds operational overhead for teams
- • SSO and audit log features require the paid enterprise tier
- • Occasional lag keeping up with very new model API releases
Key Features
- OpenAI-compatible interface for 100+ LLM providers
- Proxy server mode with centralized API key management
- Per-model and per-user cost tracking with budget limits
- Automatic fallback and load balancing across providers
- Streaming response support across all providers
- Integrations with Langfuse, Helicone, and other observability tools
Trust & Data
Verified 2026-09
- Training on your data
- NoLiteLLM Cloud explicitly does not access or store request and response message content, and self-hosted instances send zero data or telemetry to LiteLLM's servers at all. The vendor's own documentation page is internally inconsistent on SOC 2 Type II: a status table lists it as Certified while body text elsewhere on the same page says it is in progress. Only SOC 2 Type I and ISO 27001 are listed above as a conservative resolution; treat a Type II claim as unconfirmed.
- Compliance
- SOC 2 Type I, ISO 27001
- Retention
- Self-hosted instances transmit no data to LiteLLM; cloud spend and usage logs are retained until deleted, with configurable retention as an enterprise feature.
- Export
- Not published
Source: docs.litellm.ai
As published by the vendor. Verify independently before purchase decisions.
Our Take
Built-in cost tracking and fallback routing across 100-plus models round out the core feature set. Run it as a local library or a self-hosted proxy gateway for your whole team. The proxy option is where the operational overhead lands: self-hosting adds real infrastructure responsibility for a small team. SSO and audit logs require the paid enterprise tier. For developers who want provider flexibility without rewriting their stack, this is the simplest path.
Workflows Using This Tool
Step-by-step playbooks whose entries name LiteLLM. The step shown is where the workflow uses it.