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
- [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
- [Bug]: OverflowError crash in `prompt_logprobs` decode path on PD-disaggregated (external KV connector) setup
- [Bugfix][LoRA] Fix Qwen3-ASR audio tower QKV adapters
- [ROCm][CI] Make image selection content-addressed
- [Bugfix][Model] Kimi-K3: capture the post-attn_res hidden state for aux layer id == num_hidden_layers
- [Bugfix][LoRA] Respect output offsets in LoRA metadata cache
- [Bug]: Native CPU offloading can compute inconsistent num_cpu_blocks across PP ranks
- [Docs][KV Connector][NIXL] Document NIXL KV connector stats semantics
- Docs
- Python not yet supported