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
- [Feature]: instruction-preserving truncation for `/v1/chat/completions`, and document `truncate_prompt_tokens` semantics
- [CI] Update stale branches before committer `/ci run`
- [Bugfix][Frontend] Preserve DeepSeek's unclosed final tool parameter
- [Bugfix] DiffusionGemma: `diffusion_samples` to fan one seeded canvas out into n noise draws
- [Spec Decode][Qwen3.8] Enable fused draft metadata updates for the QSA side cache
- [GLM5.3 Perf] Optimize glm 5.3 metadata op, 1.6~4.8x kernel level performance improvement
- [Bugfix][GLM-5.3-Flash] kpool corruption with speculative decoding
- [Bugfix] Ignore DeepSeek V4 thinking sampling overrides
- [CI] Retry transient tokenizer loads in detokenizer tests
- [Bugfix] Reserve max-num-queued-reqs slots at preflight so a burst is rejected before render
- Docs
- Python not yet supported