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
- RFC: Kimi K3 MoonEP integration roadmap
- [Core][Spec Decode] Add suffix_gpu drafter for Async Scheduling
- [KV Offload] Carry request provenance through stored events
- [Bug]: sparse_mla_attention forward_mha falls through to unimplemented base class under low max-num-batched-tokens, surfaces as scheduler KeyError
- [Bugfix][Core] Restore incremental thinking-budget marker scans
- [RFC]: Session-Aware KV Cache Hints for Agentic Workloads
- [Security] Kill regex compilation subprocess on timeout
- [Feature]: split local/external prefix-cache hits in `prompt_tokens_details`
- [Bugfix] Handle persistent top-k candidate overflow
- [Misc][Spec Decode] Detect DeepSeek-V4 DSpark checkpoints from config
- Docs
- Python not yet supported