optillm

Optimizing inference proxy for LLMs

4.3k
Stars
+1.2k
Gained
39.2%
Growth
Python
Language

💡 Why It Matters

Optillm addresses the challenge of optimising inference proxies for large language models (LLMs), making it easier for ML/AI teams to enhance model performance and reduce latency. With a growth trend of 39.2% over 333 days, it demonstrates strong community interest and ongoing development, indicating a reliable and production-ready solution. This tool is particularly beneficial for roles such as ML engineers and data scientists who require efficient API gateways for their applications. However, it may not be suitable for teams seeking a simple plug-and-play solution, as it requires some configuration and understanding of LLM workflows.

🎯 When to Use

Optillm is a strong choice when teams need to optimise their LLM inference processes and are looking for a self-hosted option that offers flexibility and control. Teams should consider alternatives if they require a more straightforward solution without the need for extensive customisation.

👥 Team Fit & Use Cases

This open source tool is ideal for ML engineers, data scientists, and AI researchers who are focused on enhancing model efficiency. It typically integrates into products and systems that leverage LLMs for natural language processing tasks.

🎭 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: 2026-09-28. Over the past 331 days, this repository gained 1.2k stars (+39.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.