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
- [Bugfix][Tool Parser] Mistral v11: keep tool-call boundaries when content precedes multiple tool calls in one delta
- [Bugfix][Frontend] Flatten list message content when echoing in streaming chat completions
- [Bugfix][Tool Parser] DeepSeek V3: don't truncate final streamed tool arguments that don't end with '"}'
- [Bugfix][Tool Parser] InternLM2: stream tool calls that arrive whole in a single delta
- [Bugfix][Frontend] Responses API: resolve explicit null background/truncation to their defaults
- Updating
- [BugFix] Fix P/D preemption race condition
- [Frontend] Reuse prefill token ids on the decode chat path for disaggregated serving
- [RFC]: Optimizing Asynchronous Stream Serialization in OpenAI API Entrypoint
- [Attention] Batch-level prefill/decode attention backend routing
- Docs
- Python not yet supported