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]: Programmatic Tool Calling (PTC) for code based tool execution
- [Usage]: Enabling Tool call in the Python SDK
- [Bug]: Responses API: Streaming returns ResponseTextDeltaEvent instead of ResponseFunctionCallArgumentsDeltaEvent for tool calls while using non-harmony models
- Add OpenVLA model support
- [Bug]: perf regression for qwen3-0.6b
- Fix missing as_list() conversion in streaming chat completion
- [Bug]: DSR1 fp8/nvfp4 MTP with spec num 3 load weight failure
- [Bug]: fails to inference prompt ends with '.' ':' for video inputs
- [Usage]: I am unable to run the GLM-4.5-Air-REAP-82B-A12B-nvfp4 model on an RTX 5090.
- [Usage]: Extremly low token input speed for DeepSeek-R1-Distill-Llama-70B
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- Python not yet supported