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
- feat: add OpenTelemetry Metrics support via OTLP protocol
- [BugFix] Validate max_model_len against num_gpu_blocks_override at init
- Fix (v1): prevent scheduler hang when request exceeds total KV capacity
- [Bugfix] Fix CompressedTensors MoE g_idx registration when actorder is null
- Replace bare Exception with ValueError for invalid argument values
- feat(kv-transfer): add KV transfer support for DSA indexer
- [Bugfix] Fix tool call arguments parsed as content/reasoning in harmony streaming
- [Responses] Normalize OpenResponses input items to match openai-python SDK requirements
- Fix kv_cache_dtype auto resolution for ModelOpt kv_cache_quant_algo
- [Spec Decode] implement online hidden state extraction
- Docs
- Python not yet supported