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allign port number for vLLM Docker run command with example config file #109

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allign port number for vLLM Docker run command with example config file #109

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allign port number for vLLM Docker run command with example config file
anandhu-eng Jan 29, 2026
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Merge branch 'main' into anandhu-eng-patch-1
arekay-nv Feb 4, 2026
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Merge branch 'main' into anandhu-eng-patch-1
arekay-nv Mar 31, 2026
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2 changes: 1 addition & 1 deletion examples/04_GPTOSS120B_Example/Readme.md
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Expand Up @@ -16,7 +16,7 @@ export MODEL_NAME=openai/gpt-oss-120b
`vLLM` can be launched via:

```
docker run --runtime nvidia --gpus all -v ${HF_HOME}:/root/.cache/huggingface --env "HUGGING_FACE_HUB_TOKEN=$HF_TOKEN" -p 8000:8000 --ipc=host vllm/vllm-openai:latest --model ${MODEL_NAME} --gpu_memory_utilization 0.95
docker run --runtime nvidia --gpus all -v ${HF_HOME}:/root/.cache/huggingface --env "HUGGING_FACE_HUB_TOKEN=$HF_TOKEN" -p 3000:3000 --ipc=host vllm/vllm-openai:latest --model ${MODEL_NAME} --gpu_memory_utilization 0.95
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@gemini-code-assist gemini-code-assist bot Jan 29, 2026

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medium

This change correctly aligns the vLLM port with the configuration file. However, the 'Debugging' section in this file is now outdated as it still refers to port 8000.

To maintain consistency, please update the mitmproxy command and the related explanation in the 'Debugging' section to use port 3000.

For example, line 70 should be:

mitmproxy -p 8001  --mode reverse:http://localhost:3000/

The surrounding text should also be updated to refer to port 3000.

Additionally, there's a typo on line 73: mitmproxy is launched on port 8001, not 8081.

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@arekay-nv arekay-nv Feb 4, 2026

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+1

```

`SGLang` can be launched via:
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