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]: Missing `reasoning` on Some Turns in Multi-Turn Tool-Calling (DeepSeek-V4-Flash-0731)
- [Refactor] move moe sequence parallel boundaries into parallel linear layers
- [Bug]: attention backend probe in cuda.py catches only ImportError; non-ImportError side effects (e.g. cache PermissionError, CUDA runtime mismatch) crash engine init instead of being recorded as unavailable
- [Bug]: No viable structured-outputs backend for Kimi-K2.6 + EAGLE3 on v0.26.0: xgrammar bitmask desync kills the engine, outlines compile-timeout leaks threads until OOM, guidance rejects the slow tokenizer
- Fix Mooncake store request-ID ABA in async job accounting
- docs/design/metrics.md: be consistent about _total suffix
- [Kernel] Skip padding rows in SiTU activation for DeepEP v2 decode
- [Bug]: Stopping profiler twice causes 500 and segfault
- [Bugfix][Profiler] Fix API server crash on double /stop_profile
- Fix misrouting race-condition in multi-decode P/D disagg with mori-io
- Docs
- Python not yet supported