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
- [ROCm][GLM-5.3-Flash] Enable KDA prefill checkpoints on the Triton backend
- [Feature][KV Connector][Mooncake] Add MooncakePullConnector for decode-side reads
- [Perf][MRv2] Add static split selection for token logprobs
- [Performance]: Monolithic Triton top-k kernel falls back to full-vocab search on real logits (outlier gather misses)
- [Bugfix][Multimodal] Reject prefill caps smaller than an intact item
- [Feature][AuxOutput] Support routed experts with P/D disaggregation
- [Bugfix][NIXL] Verify pull reads against producer lease slots
- [Bugfix][Spec Decode] Load excluded EAGLE3 NVFP4 embeddings as BF16
- [Feature][Observability] Attribute inference metrics and traces to API surface
- [Bug]: Stop sequences match inside reasoning, so responses come back empty (breaks Claude Code auto mode)
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- Python not yet supported