Show HN: Optimizing LiteLLM with Rust – When Expectations Meet Reality
4 days ago
- #Rust
- #LiteLLM
- #Performance Optimization
- Fast LiteLLM provides Rust acceleration for LiteLLM, offering 2-20x performance improvements.
- Key performance improvements include 5-20x faster token counting, 3-8x faster request routing, 4-12x faster rate limiting, and 2-5x faster connection management.
- Seamless integration with existing LiteLLM code via PyO3 and Rust, requiring zero configuration.
- Easy installation with pip and automatic acceleration upon importing fast_litellm before litellm.
- Features include zero configuration, production safety, performance monitoring, gradual rollout, thread safety, and type safety.
- Advanced configuration possible via environment variables for feature flags and gradual rollout.
- Compatible with Python 3.8+ and LiteLLM, with prebuilt wheels available; no Rust installation required for users.
- Comprehensive testing suite ensures compatibility and performance improvements.
- Open-source under MIT License, with contributions welcome.