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LiteLLM

Freemium
llmapiopen-sourcedeveloper toolpythonai gatewayllmopscost managementopenaiproxy

LiteLLM is an indispensable open-source tool for any developer building with multiple LLMs, offering unparalleled flexibility and production-grade features in a single library.


A simple, open-source library to call over 100 LLMs using a standardized OpenAI format, simplifying integration and management for developers.

LiteLLM is an open-source Python library designed to streamline interactions with a wide array of Large Language Models (LLMs). It provides a unified, consistent interface, allowing developers to call APIs from over 100 providers—including OpenAI, Anthropic, Google Gemini, and Cohere—using the familiar OpenAI message format. This eliminates the need to write and maintain provider-specific code, significantly simplifying the development of LLM-powered applications. Beyond simple API abstraction, LiteLLM offers powerful features for production environments. It enables developers to implement robust logic such as automatic retries, fallbacks to alternative models or deployments, and load balancing across multiple API keys. The library also includes detailed cost tracking and usage monitoring, giving teams visibility into their spending across all models. For more complex use cases, LiteLLM can be deployed as a self-hosted proxy server, acting as a central gateway for all LLM requests within an organization.

Pros

  • Open-source with a permissive MIT license
  • Supports a massive list of over 100 LLM providers
  • Standardizes API calls, reducing code complexity
  • Built-in production features like fallbacks, retries, and logging
  • Active development and responsive community support
  • Provides detailed cost tracking and usage metrics

Cons

  • Requires development/infrastructure knowledge to self-host and manage
  • The core library has no graphical user interface
  • Documentation can be extensive and overwhelming for newcomers
  • Fast-paced development can sometimes introduce breaking changes

Key features

  • Call 100+ LLMs using the standardized OpenAI message format
  • Centralized management and automatic rotation of API keys
  • Load balance requests across multiple deployments or keys
  • Configure automatic fallbacks and retries for failed API calls
  • Track token usage and costs across all supported models
  • Stream responses consistently from all supported LLMs
  • Self-host as a proxy server to centralize all LLM requests
  • Integrate with observability tools like Datadog, Grafana, and Langfuse
  • Consistent output with features like JSON Mode and function calling

Integrations

LangfuseHeliconePromptLayerDataDogGrafanaSentrySlackPostHogMongoDBClickHouse

Target audience

AI/ML developers and engineering teams building applications that leverage multiple Large Language Models (LLMs).


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Key Metrics

Founded

2023

Headquarters

San Francisco, USA

Pricing Tiers

Open-Source

Free

Simple Hosted LiteLLM

$25/mo

Enterprise

Custom


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