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Gahow Wang 445e491123 Add vLLM v0.18.1 source tree with KV transfer abort fix

third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:

  vllm/v1/core/sched/scheduler.py:
    Replace fatal assert with graceful skip when KV transfer callback
    arrives for an already-aborted request during PD disaggregated serving.

Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-05-22 00:30:38 +08:00

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Open WebUI

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in RAG capabilities, making it a powerful AI deployment solution.

To get started with Open WebUI using vLLM, follow these steps:

Install the Docker.
Start the vLLM server with a supported chat completion model:
```
vllm serve Qwen/Qwen3-0.6B-Chat
```
!!! note When starting the vLLM server, be sure to specify the host and port using the --host and --port flags. For example:
```
 ```console
 vllm serve <model> --host 0.0.0.0 --port 8000
 ```
```

Start the Open WebUI Docker container:

docker run -d \
    --name open-webui \
    -p 3000:8080 \
    -v open-webui:/app/backend/data \
    -e OPENAI_API_BASE_URL=http://0.0.0.0:8000/v1 \
    --restart always \
    ghcr.io/open-webui/open-webui:main

Open it in the browser: http://open-webui-host:3000/

At the top of the page, you should see the model Qwen/Qwen3-0.6B-Chat.

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Open WebUI

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