[Docs] Update server entrypoint examples (#42077)

Signed-off-by: Ethan Feng <ethan.fengch@gmail.com>

docs/deployment/frameworks/runpod.md

@@ -12,8 +12,7 @@ vLLM can be deployed on [RunPod](https://www.runpod.io/), a cloud GPU platform t
 SSH into your RunPod pod and launch the vLLM OpenAI-compatible server:
 
 ```bash
-python -m vllm.entrypoints.openai.api_server \
-    --model <model-name> \
+vllm serve <model-name> \
     --host 0.0.0.0 \
     --port 8000
 ```

docs/deployment/integrations/kthena.md

@@ -79,9 +79,8 @@ Key points from the example YAML:
     - -c
     - >
       bash /vllm-workspace/examples/ray_serving/multi-node-serving.sh leader --ray_cluster_size=2;
-      python3 -m vllm.entrypoints.openai.api_server
+      vllm serve meta-llama/Llama-3.1-405B-Instruct
         --port 8080
-        --model meta-llama/Llama-3.1-405B-Instruct
         --tensor-parallel-size 8
         --pipeline-parallel-size 2
   ```
@@ -145,7 +144,7 @@ spec:
                   - sh
                   - -c
                   - "bash /vllm-workspace/examples/ray_serving/multi-node-serving.sh leader --ray_cluster_size=2; 
-                    python3 -m vllm.entrypoints.openai.api_server --port 8080 --model meta-llama/Llama-3.1-405B-Instruct --tensor-parallel-size 8 --pipeline-parallel-size 2"
+                    vllm serve meta-llama/Llama-3.1-405B-Instruct --port 8080 --tensor-parallel-size 8 --pipeline-parallel-size 2"
                 resources:
                   limits:
                     nvidia.com/gpu: "8"

docs/design/lora_resolver_plugins.md

@@ -62,8 +62,7 @@ The filesystem resolver is installed with vLLM by default and enables loading Lo
 3. **Start vLLM server**:
    Your base model can be `meta-llama/Llama-2-7b-hf`. Please make sure you set up the Hugging Face token in your env var `export HF_TOKEN=xxx235`.
    ```bash
-   python -m vllm.entrypoints.openai.api_server \
-       --model your-base-model \
+   vllm serve your-base-model \
        --enable-lora
    ```
 

docs/design/optimization_levels.md

@@ -16,7 +16,7 @@ User-set flags take precedence over optimization level defaults.
 
 ```bash
 # CLI usage
-python -m vllm.entrypoints.api_server --model RedHatAI/Llama-3.2-1B-FP8 -O1
+vllm serve RedHatAI/Llama-3.2-1B-FP8 -O1
 
 # Python API usage
 from vllm.entrypoints.llm import LLM