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] Improve engine rpc failure handling and shutdown
- [ROCm][CI] Add MI355 TP2 AR-RMS and B200 fusion mirrors
- [Bugfix][Frontend] Preserve finish_reason=length for truncated tool calls
- [Bugfix][KV Connector][Mooncake] Announce residency for every Store write
- [Bugfix] DeepSeek-V4 parser: drop the content/tool separator so parsed turns re-render byte-identically
- [Bugfix] DeepSeek-V4 renderer: join tool-result text parts with a blank line like the encoder
- [Bugfix][Engram] Reject offloaded tables larger than host memory
- [Bug]: GLM required tool-call grammar accepts split marker tokens that the streaming parser treats as content
- [Bug]: [Performance]: Realtime (streaming-input) sessions get ~3 ms slower per step for every minute of audio — O(n) scheduler work in strip_covered_mm_data
- [Bugfix] Report a usage error for a trailing dotted argument with no value
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- Python not yet supported