AgentX
A public agentic benchmark released by SemiAnalysis, designed to evaluate the performance of inference frameworks under real agent workloads, simulating typical agent traffic patterns such as multi-tool invocation, multi-turn context accumulation, and concurrent task orchestration.
Timeline (last 90 days)
The test was run in SemiAnalysis's AgentX benchmark environment.
SemiAnalysis's AgentX benchmark is specifically designed for AI Agent scenarios, with a core focus on decoding latency under single-user conditions rather than maximum throughput.
The vLLM team published a technical blog post titled "vLLM x AgentX: Optimizing for Real-World Agentic Serving."
The vLLM team used the publicly available Agentic benchmark AgentX, introduced by SemiAnalysis, for measurement.
The industry has long lacked a standardized evaluation system for Agentic workloads, and AgentX fills this gap.
All Facts (5)
The test was run in SemiAnalysis's AgentX benchmark environment.
50%UnverifiedSemiAnalysis's AgentX benchmark is specifically designed for AI Agent scenarios, with a core focus on decoding latency under single-user conditions rather than maximum throughput.
50%UnverifiedThe vLLM team used the publicly available Agentic benchmark AgentX, introduced by SemiAnalysis, for measurement.
50%UnverifiedThe industry has long lacked a standardized evaluation system for Agentic workloads, and AgentX fills this gap.
50%UnverifiedThe vLLM team published a technical blog post titled "vLLM x AgentX: Optimizing for Real-World Agentic Serving."
50%