sglang
https://github.com/sgl-project/sglang
Python
SGLang is a high-performance serving framework for large language models and multimodal models.
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- Issues
- [RFC #32321] Serve Apple Silicon decode through one exported whole-model MLX region
- [Bug] Disconnected streaming client leaves a zombie request that decodes to max_tokens and floods "state was deleted in TokenizerManager" (regression from #34160 revert)
- test: run radix_cache determinism mode in CI
- MiniMax-M3: fused all-reduce + RMSNorm + per-token fp8 quant for the MXFP8 ptpc decode GEMM
- [Bug] fast_topk_v2 can silently return wrong top-k sets when a radix threshold bucket exceeds its 4096-entry candidate buffer (k=2048, long rows)
- [Bug] GLM-5.3-Flash cannot use FP8 KV cache: `index_kpool > 1` excludes `flashmla_kv`, and no CUDA DSA backend supports bf16-query x fp8-KV
- fix(security): bound top_logprobs_num, parallel sample n, and input_ids to prevent request-level DoS
- [cuda-graph] Index attention_layers by layer id (2/3)
- [Embed Override] Validate embed override hidden_dim at ingestion time
- Support deterministic inference for DeepSeek-V4
- Docs
- Python not yet supported