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
- [Bug] DSpark CUDA launch failure when concurrency=1 for Kimi-K3 (v0.5.17)
- [Bug] ROCm MI355 HiCache Broken - Poor Performance for Realistic Agentic Workload
- Fix guided decoding for channel-framed reasoning
- [NPU] Add npu_ipc support for mm_feature_transport
- [Metrics] Add kv_cache_usage_perc Prometheus gauge (#5979)
- [Bug] SGLANG_SIMULATE_ACC_LEN silently degrades detokenization to O(n²) — `predict.fill_(100)` emits a byte-fallback token, and the `endswith("\ufffd")` commit gate then never advances the incremental-detokenization offsets
- [Bug][Diffusion] Native-fallback component loading drops all CPU-offload decisions (should_offload called without model_config) → fatal OOM on 8GB GPUs
- [Bug] TypeError in set_mamba_track_indices_from_reqs during NEXTN TARGET_VERIFY — mamba_next_track_idx is None (hybrid-mamba + speculative decoding + lazy buffer mode)
- [Bug] Kimi K3 decode crash: DSPARK target_verify + DCP → cumsum(extend_prefix_lens=None) in layers/dcp/planner.py
- fix(disaggregation): route equal-TP fragmented KV transfer through staging
- Docs
- Python not yet supported