A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 2, 08:30 UTC
[Governance] Add @BugenZhao as Rust frontend code owner (#44047)
Signed-off-by: Bugen Zhao <i@bugenzhao.com>
Bugen Zhao committed
May 30, 2026 at 22:23 UTC
50c80d792307076bdb811a12f5a80e9e1ea8b27d
2 files changed
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-1
.github/CODEOWNERS
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@@ -40,6 +40,12 @@
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/vllm/entrypoints/chat_utils.py @DarkLight1337
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/vllm/entrypoints/llm.py @DarkLight1337
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+# Rust Frontend
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+/rust/ @BugenZhao @njhill
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+/build_rust.sh @BugenZhao @njhill
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+/rust-toolchain.toml @BugenZhao @njhill
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+/.buildkite/test_areas/rust* @BugenZhao @njhill
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+
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# Input/Output Processing
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/vllm/sampling_params.py @njhill @NickLucche
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/vllm/pooling_params.py @noooop @DarkLight1337
@@ -78,7 +84,7 @@
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/setup.py @khluu
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# Test ownership
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-/.buildkite/lm-eval-harness @mgoin
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+/.buildkite/lm-eval-harness @mgoin
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/tests/distributed/test_multi_node_assignment.py @youkaichao
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/tests/distributed/test_pipeline_parallel.py @youkaichao
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/tests/distributed/test_same_node.py @youkaichao
docs/governance/committers.md
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@@ -17,6 +17,7 @@ Sorted alphabetically by GitHub handle:
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- [@bbrowning](https://github.com/bbrowning): Tool use and reasoning parser
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- [@benchislett](https://github.com/benchislett): Engine core and spec decode
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- [@bigPYJ1151](https://github.com/bigPYJ1151): Intel CPU/XPU integration
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+- [@BugenZhao](https://github.com/BugenZhao): Rust frontend
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- [@chaunceyjiang](https://github.com/chaunceyjiang): Tool use and reasoning parser
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- [@DarkLight1337](https://github.com/DarkLight1337): Multimodality, API server
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- [@esmeetu](https://github.com/esmeetu): developer marketing, community
@@ -130,6 +131,8 @@ If you have PRs touching the area, please feel free to ping the area owner for r
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- @DarkLight1337
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- API Server: The OpenAI-compatible API server
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- @DarkLight1337, @njhill, @aarnphm, @simon-mo, @heheda12345 (Responses API)
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+- Rust Frontend: The experimental API server in Rust
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+ - @BugenZhao, @njhill
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- Batch Runner: The OpenAI-compatible batch runner
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- @simon-mo
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