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] Null optional config sections are treated as populated
- [CPU][Spec] Support DFlash target-verify for hybrid GDN models
- [Bug] sglang:kv_cache_memory_usage_gb reports 0 for DeepSeek-V4 pools
- feat(cache): expose hybrid cache observability
- [Spec][Ngram]: Add country-card and distractor corpora to benchmark global tree allocation
- [jit_kernel] port murmur_hash32 to CUDA JIT with tests and benchmark
- [Kernel] Make KDA backend dispatch hardware- and shape-aware
- [PDMux] scheduler event loop deadlocks in decode_stream.synchronize() when a mixed decode+split-prefill batch follows a >=4K-token prefill (hybrid GDN models)
- [Speculative Decoding] Add native UNO of linear verison serving supprt for NPU
- [Bug] [Rust gateway] reasoning_effort: support full OpenAI 7-tier set (blocked on smg release)
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- Python not yet supported