Easy, fast, and cheap LLM serving for everyone vLLM is a fast and easy-to-use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. vLLM is fast with: Efficient management

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vLLM
docs.vllm.ai > projects > vime > en > stable > developer_guide > trace.html

Trace Viewer??? Vime

5+ day, 8+ hour ago   (309+ words) vime can attach lightweight execution traces to each rollout sample. These traces capture span-style events such as generation and reward-model calls, and they can be inspected later from a saved rollout debug dump. To inspect traces later, save rollout debug…...

vLLM
docs.vllm.ai > en > latest > api > vllm > reasoning > hy_v4_reasoning_parser

hy_v4_reasoning_parser

1+ week, 6+ day ago   (286+ words) Reasoning extraction for HYV4, on plain data. Count reasoning tokens (0 in no_think). The start token is injected at the END of the prompt, so it is normally absent from token_ids. Only skip a leading start token when it actually appears first (legacy / no…...