optillm

Optimizing inference proxy for LLMs

4.2k
Stars
+1.1k
Gained
36.3%
Growth
Python
Language

💡 Why It Matters

Optillm addresses the critical need for optimising inference proxies for large language models (LLMs), making it easier for ML and AI teams to enhance performance and efficiency. With a maturity level suitable for production use, this open source tool for engineering teams is designed to streamline workflows and improve response times. The significant growth trend of 36.3% over 266 days, with 1,125 new stars, highlights its increasing adoption and reliability in the field. However, it may not be the right choice for teams requiring extensive customisation or those working with less common frameworks that are not fully supported.

🎯 When to Use

Optillm is a strong choice when teams need a production-ready solution for optimising LLM inference without extensive configuration. Teams should consider alternatives if they require a highly tailored solution or are working with niche AI models that may not be compatible.

👥 Team Fit & Use Cases

This tool is particularly beneficial for data scientists, ML engineers, and AI researchers who are focused on enhancing model performance. It is commonly integrated into products and systems that involve real-time data processing and AI-driven applications.

🎭 Best For

🏷️ Topics & Ecosystem

agent agentic-ai agentic-framework agentic-workflow agents api-gateway chain-of-thought genai large-language-models llm llm-inference llmapi mixture-of-experts moa monte-carlo-tree-search openai openai-api optimization prompt-engineering proxy-server

📊 Activity

Latest commit: 2026-07-18. Over the past 264 days, this repository gained 1.1k stars (+36.3% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.