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
- [FS-Offloading] Batching for FS threadpool
- [Security] Keep copied tool closers inside Qwen parameter values
- [Frontend] Let the HF config override Harmony detection
- feat(parser): parser cache for streaming chat derender
- [Bugfix][Frontend] Preserve GLM-4.7 MoE's unclosed final tool argument
- [Bug]: Responses API `truncation: "auto"` truncates at the token level from the left, dropping `instructions` first and cutting mid-item
- [Feature][Core] Add native SynthID-Text watermarking
- [RFC / Prototype] KV-PP (LayerSplit) KV cache planning and placement decoupling (#58329)
- [Model] Add Laya typed-decision models (Jev /v1/systemone via structured_server)
- [Qwen4Exp] Checkpoint-mapped PLE storage for unified-memory GPUs (DGX Spark)
- Docs
- Python not yet supported