Developer Frameworks & Infrastructure
LiteLLM
Call 100+ LLM APIs using the OpenAI format with load balancing
Open sourceRuns on your device
Pricing
Open Source
Free
Platforms
macOS - Windows - Linux
Self-hosted or local
Category
Developer Frameworks & Infrastructure
133 tools
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Last updated
Oct 2
Listing updated
Best for
Unified multi-provider fallback
Route requests from Anthropic to Bedrock or Azure automatically on rate limit errors.
Pricing checked Oct 2026
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About LiteLLM
LiteLLM acts as a unified translation layer across the fragmented LLM landscape. Instead of rewriting SDK calls when switching between OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, or self-hosted Ollama endpoints, developers use LiteLLM to speak a single OpenAI-compatible protocol.
Beyond basic API normalization, LiteLLM features a high-throughput proxy server equipped with multi-key load balancing, automatic provider fallbacks when rate limits or 500 errors hit, and granular spend tracking with budget caps per user or project. It has become essential plumbing for production AI applications seeking resilience and multi-vendor redundancy without rewriting application logic.
- Drop-in OpenAI format support for over 100 LLM providers
- Native rate limit retry, load balancing, and fallback routing
- Detailed cost and latency tracking per API key
- Active open-source community with rapid support for new models
- Advanced proxy features require self-hosting or enterprise license
- Provider-specific parameters can sometimes lag behind native SDKs
git clone https://github.com/BerriAI/litellm.gitOpen source tool available on GitHub.
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