[Feat]upgrade vllm version

Signed-off-by: rongfu.leng <lenronfu@gmail.com>

docs/getting_started/installation/gpu/cuda.inc.md

@@ -20,7 +20,7 @@ Therefore, it is recommended to install vLLM and vLLM-Omni with a **fresh new**
 
 vLLM-Omni is built based on vLLM. Please install it with command below.
 ```bash
-uv pip install vllm==0.21.0 --torch-backend=auto
+uv pip install vllm==0.22.0 --torch-backend=auto
 ```
 
 #### Installation of vLLM-Omni
@@ -42,7 +42,7 @@ uv pip install 'vllm-omni[demo]'
 If you do not need to modify source code of vLLM, you can directly install the stable 0.21.0 release version of the library
 
 ```bash
-uv pip install vllm==0.21.0 --torch-backend=auto
+uv pip install vllm==0.22.0 --torch-backend=auto
 ```
 
 The 0.21.0 release of vLLM ships CUDA 13.0-compatible binaries by default. If you need a different CUDA variant or want to reuse an existing PyTorch installation, build vLLM from source instead.

docs/getting_started/installation/gpu/rocm.inc.md

@@ -13,7 +13,7 @@ vLLM-Omni current recommends the steps in under setup through Docker Images.
 
 vLLM-Omni is built based on vLLM. Please install it with command below.
 ```bash
-uv pip install vllm==0.21.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm722
+uv pip install vllm==0.22.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm722
 ```
 
 #### Installation of vLLM-Omni
@@ -37,7 +37,7 @@ uv pip install onnxruntime-rocm
 If you do not need to modify source code of vLLM, you can directly install the stable 0.21.0 release version of the library
 
 ```bash
-uv pip install vllm==0.21.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm722
+uv pip install vllm==0.22.0+rocm722 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm722
 ```
 
 The pre-built 0.21.0 vLLM wheel targets ROCm 7.2.2. If you need a different ROCm stack or want to reuse an existing PyTorch installation, build vLLM from source instead.

docs/getting_started/quickstart.md

@@ -19,10 +19,10 @@ uv venv --python 3.12 --seed
 source .venv/bin/activate
 
 # On CUDA
-uv pip install vllm==0.21.0 --torch-backend=auto
+uv pip install vllm==0.22.0 --torch-backend=auto
 
 # On ROCm
-uv pip install vllm==0.21.0+rocm721 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm721
+uv pip install vllm==0.22.0+rocm721 --extra-index-url https://wheels.vllm.ai/rocm/0.21.0/rocm721
 
 git clone https://github.com/vllm-project/vllm-omni.git
 cd vllm-omni