tokenspeed

We have hosted the application tokenspeed in order to run this application in our online workstations with Wine or directly.

Quick description about tokenspeed:

TokenSpeed is an LLM inference engine designed for high-performance production agent workloads. It aims to combine TensorRT-LLM-level speed with vLLM-level usability, making it relevant for teams that need fast generation without sacrificing developer ergonomics. The project is focused on the specific needs of agentic systems, where latency, throughput, and efficient scheduling matter across many short or tool-heavy requests. It builds on ideas and components from the broader open-source inference ecosystem while presenting its own execution stack. TokenSpeed is useful for developers building local or server-side LLM infrastructure for agents, coding systems, and high-volume AI applications. Its main value is providing an inference layer optimized for fast token generation under practical agent workloads.

Features:

• High-performance LLM inference engine
• Designed for production agentic workloads
• TensorRT-LLM-style performance goal
• vLLM-style usability goal
• Python package-oriented project structure
• MIT-licensed open-source implementation

Programming Language: Python.
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