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
- [Structured Output][Tool Calling] Use xgrammar's reasoning parser instead vLLM's
- [Hybrid] Stage the postprocess inputs with a single loop over the request list
- [Frontend] Expose canonical KV cache group metadata
- [UX] Tag torch.compile log lines with the component being compiled
- [Bugfix][Parser] Preserve partial args for truncated tool calls
- [Rust Frontend] add mistral reasoning parser
- [RFC]: Composite Attention Backends
- [Bugfix][Kernel] Make Marlin MoE route alignment deterministic
- [Rust Frontend] Extend the existing gRPC service protocol
- [Performance]: Official FP8 checkpoint ~40% slower at bs=1 than runtime fp8 quant of same model (Qwen3-4B, RTX 4090, v0.24.0)
- Docs
- Python not yet supported