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]: DeepSeek-V3/V3.1 tool parser drops the tool call when start+end tokens land in the same streaming delta
- docs: mention accelerated load formats for ModelOpt
- feat: first-class session_id for conversation-aware routing
- [Model] Register Qwen3_5ForCausalLM and Qwen3_5MoeForCausalLM with IsHybrid support
- [Bugfix] Convert media fetch connection/DNS failures to HTTP 422
- [Bug]: GLM 5.2 forced toolcall left unparsed in content (glm 47 tool parser)
- fix(speech_to_text): use real per-chunk offsets for segment timestamps
- Fix/spec draft inherit model weights
- [KV Connector][Mooncake] Add tenant ID support to MooncakeStoreConnector
- [Frontend] Bound realtime STT audio_queue and per-session audio bytes
- Docs
- Python not yet supported