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
- [Bug]: FLASHMLA_SPARSE_DSV4 backend crashes with "swa_metadata missing tile_sched entry for compress_ratio=1" on DeepSeek-V4-Flash-0731
- fix: Check all peers in _can_p2p when VLLM_SKIP_P2P_CHECK=1
- [Bugfix][Elastic EP] Clear scaling flag on failure to prevent permane…
- [Core] Extensible (growable) KV cache
- [Bugfix][Frontend] Preserve Kimi native tool-call IDs across Responses API multi-turn round trip (Fixes #50768)
- [Doc] Troubleshooting: add a WSL2 section (pinned memory gates, lingering workers)
- Fix/nixl lease reaper ordering
- [Bugfix][Attention] Size FlashInfer sparse MLA workspace for decode-context-parallel
- [Bug]: OverflowError crash in `prompt_logprobs` decode path on PD-disaggregated (external KV connector) setup
- [Bugfix][LoRA] Fix Qwen3-ASR audio tower QKV adapters
- Docs
- Python not yet supported