vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- add log for request trace
- [Roadmap] vLLM Roadmap Q4 2025
- add log for request trace
- [Feature] Conditional prefix logging for stdout/stderr
- [Core] Major fix catch backend grammar exceptions (xgrammar, outlines, etc) in scheduler
- simplify the return value from generate_beam_search
- [Optimization] Pad the number of tokens to a multiple of 4 to improve FP8 performance
- [RFC]: Replace `torch.cuda` API with `torch.accelerator` for better hardware compatiblity.
- [Feature] Support ServerlessLLM 6-10X faster checkpoint loading format
- [Frontend][Core][Tracing] Add token-level OTEL tracing for prod observability
- Docs
- Python not yet supported