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]: Kimi K3 tool calls returned empty tool calls when the model omits the think transition marker
- [Bugfix][MoRIIO] Prevent remote KV reload after decoder preemption
- [Perf][Spec Decode] Reuse DFlash context RoPE cache dtype
- [Bug]: finish_reason="tool_calls" is returned with an empty tool_calls array when tool_choice="required" produces no call
- docs: add OrcaRouter deployment framework guide
- [Bugfix][KV offload] Validate computed device pointers before copy
- [Model][Gemma4] Fuse post-attention residual add into pre-FFN RMSNorm
- [Bugfix][Frontend] Recover Kimi K3 tools after omitted think close
- perf: Optimize sliding window cache hit search time complexity to O(N/K) from O(N)
- [Feature]: Cache-aware waiting QoS with optional cooperative prefill preemption
- Docs
- Python not yet supported