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
- [Docs] Correct ParallelConfig world-size descriptions
- [Bug]: `/v1/responses` output items are always `status: "completed"`, even inside an incomplete response
- [CI] Shard (H200 MIG 35GB / MI300) Entrypoints Integration (LLM) into whole coverage units
- [Agents] Add API compatibility checking skill
- [Kernel] Add NVIDIA L40S FP8 tuned configs for Qwen3.8-27B-FP8
- [ROCm][Perf][GLM-5.3-Flash] "Fit kpool top-k indices to AITER" with a single Triton kernel
- [Bugfix][OpenAI] Suppress hidden reasoning metadata in batch responses
- [Bugfix] Fix malformed stale-tensor discard warning in TensorIpcReceiver
- [Bugfix][Frontend] Fix Responses item status and Harmony event lifecycle
- [Bug]: Engine-resolved prefix-cache match unit is not propagated to workers
- Docs
- Python not yet supported