optillm

Optimizing inference proxy for LLMs

3.3k
Stars
+217
Gained
7.0%
Growth
Python
Language

💡 Why It Matters

Optillm addresses the challenge of optimising inference proxies for large language models (LLMs), making it easier for engineering teams to manage API requests efficiently. This tool is particularly beneficial for backend/API teams and ML/AI teams, as it enhances the performance of AI-driven applications. With a maturity level that suggests it is production-ready, teams can confidently integrate it into their workflows. However, it may not be suitable for projects with minimal AI integration or those requiring highly specialised inference solutions. The growth trend of 7.0% in stars over 85 days indicates a healthy adoption rate, reflecting its value in the open source community.

🎯 When to Use

Optillm is a strong choice when teams need a reliable open source tool for optimising LLM inference in production environments. Teams should consider alternatives if their projects do not heavily rely on AI or if they require a more tailored solution.

👥 Team Fit & Use Cases

This tool is ideal for backend/API teams and ML/AI teams, who can leverage it to enhance their AI applications. It typically fits into products and systems that involve complex API interactions and require efficient processing of AI model outputs.

🎭 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: 2026-01-28. Over the past 85 days, this repository gained 217 stars (+7.0% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.