vLLM(@vllm_project):Thank you to the @SemiAnalysis_ team for the shoutout and for the collaboration on AgentX 🙏 Benchmarks are only useful when they measure the workloads people actually run, and AgentX measures the real thing: multi-turn, long-context agent traffic. vLLM is the engine for production agentic workloads. For teams serving tokens at scale, revenue depends on optimized inference over long multi-turn contexts. Our AgentX deep dive blog is coming soon! Stay tuned 📖

vLLM

@vllm_project

A high-throughput and memory-efficient inference and serving engine for LLMs. Join to discuss together with the community!

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vLLM@vllm_project

2026.09.03 20:14

Thank you to the @SemiAnalysis_ team for the shoutout and for the collaboration on AgentX 🙏 Benchmarks are only useful when they measure the workloads people actually run, and AgentX measures the real thing: multi-turn, long-context agent traffic. vLLM is the engine for production agentic workloads. For teams serving tokens at scale, revenue depends on optimized inference over long multi-turn contexts. Our AgentX deep dive blog is coming soon! Stay tuned 📖

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