[Lint]Style: reformat markdown files via markdownlint (#5884)

### What this PR does / why we need it?
reformat markdown files via markdownlint

- vLLM version: v0.13.0
- vLLM main:
bde38c11df

---------

Signed-off-by: root <root@LAPTOP-VQKDDVMG.localdomain>
Signed-off-by: MrZ20 <2609716663@qq.com>
Co-authored-by: root <root@LAPTOP-VQKDDVMG.localdomain>

examples/disaggregated_prefill_v1/mooncake_connector_deployment_guide.md

@@ -2,29 +2,29 @@
 
 ## Environmental Dependencies
 
- * Software:
-     * Python >= 3.10, < 3.12
-     * CANN == 8.3.rc2
-     * PyTorch == 2.8.0, torch-npu == 2.8.0
-     * vLLM (same version as vllm-ascend)
-     * mooncake-transfer-engine reference documentation: https://github.com/kvcache-ai/Mooncake/blob/main/doc/zh/ascend_transport.md
+* Software:
+    * Python >= 3.10, < 3.12
+    * CANN == 8.3.rc2
+    * PyTorch == 2.8.0, torch-npu == 2.8.0
+    * vLLM (same version as vllm-ascend)
+    * mooncake-transfer-engine reference documentation: <https://github.com/kvcache-ai/Mooncake/blob/main/doc/zh/ascend_transport.md>
 
 The vllm version must be the same as the main branch of vllm-ascend, for example, 2025/07/30. The version is
 
- * vllm: v0.10.1
- * vllm-ascend: v0.10.1rc1
+* vllm: v0.10.1
+* vllm-ascend: v0.10.1rc1
 
 ## run
 
 ### 1.Run `prefill` Node
 
-```
+```shell
 bash run_prefill.sh
 ```
 
 Content of the run_prefill.sh script
 
-```
+```shell
 export HCCL_EXEC_TIMEOUT=204
 export HCCL_CONNECT_TIMEOUT=120
 export HCCL_IF_IP=localhost
@@ -85,13 +85,13 @@ Set `GLOO_SOCKET_IFNAME`, `TP_SOCKET_IFNAME`, and `HCCL_SOCKET_IFNAME` to the co
 
 ### 2. Run `decode` Node
 
-```
+```shell
 bash run_decode.sh
 ```
 
 Content of the run_decode.sh script
 
-```
+```shell
 export HCCL_EXEC_TIMEOUT=204
 export HCCL_CONNECT_TIMEOUT=120
 export HCCL_IF_IP=localhost
@@ -135,9 +135,9 @@ vllm serve "/xxxxx/DeepSeek-V2-Lite-Chat" \
   }'
 ```
 
-### 3. Start proxy_server. ###
+### 3. Start proxy_server
 
-```
+```shell
 cd /vllm-ascend/examples/disaggregate_prefill_v1/
 python load_balance_proxy_server_example.py --host localhost --prefiller-hosts host1 host2 --prefiller-ports 8100 8101 --decoder-hosts host3 host4 --decoder-ports 8200 8201
 ```
@@ -152,7 +152,7 @@ python load_balance_proxy_server_example.py --host localhost --prefiller-hosts h
 
 Set the IP address in the inference file to the actual IP address. Set the model variable to the path of the model. Ensure that the path is the same as that in the shell script.
 
-```
+```shell
 curl -s http://localhost:8000/v1/completions -H "Content-Type: application/json" -d '{
 "model": "model_path",
 "prompt": "Given the accelerating impacts of climate change—including rising sea levels, increasing frequency of extreme weather events, loss of biodiversity, and adverse effects on agriculture and human health—there is an urgent need for a robust, globally coordinated response. However, international efforts are complicated by a range of factors: economic disparities between high-income and low-income countries, differing levels of industrialization, varying access to clean energy technologies, and divergent political systems that influence climate policy implementation. In this context, how can global agreements like the Paris Accord be redesigned or strengthened to not only encourage but effectively enforce emission reduction targets? Furthermore, what mechanisms can be introduced to promote fair and transparent technology transfer, provide adequate financial support for climate adaptation in vulnerable regions, and hold nations accountable without exacerbating existing geopolitical tensions or disproportionately burdening those with historically lower emissions?",

examples/external_online_dp/README.md

@@ -1,12 +1,14 @@
 Here is an example guiding how to use `launch_online_dp.py` to launch external dp vllm servers. User can easily launch external dp servers following the steps below:
 
 ### Modify parameters in `run_dp_template.sh`
+
 `run_dp_template.sh` is an template script used to launch each dp vllm instance separately. It will be called by `launch_online_dp.py` in multi threads and most of its configurations are set by `launch_online_dp.py`. Parameters you need to set manually include:
 
 1. The IP and socket_ifname of your machine. If running on multi-nodes, please make sure the scripts on each node has been set with correct IP and socket_ifname of that node.
 2. vLLM serving related parameters including model_path and other configurations. Note that port, dp-related parammeters and tp_size is set by `launch_online_dp.py`, all the other vLLM parameters in this file only serve as an example and you are free to modify them according to your purpose.
 
 ### Run `launch_online_dp.py` with CL arguments
+
 All the arguments that can be set by users are:
 
 1. `--dp-size`: global data parallel size, must be set
@@ -39,6 +41,7 @@ python launch_online_dp.py --dp-size 4 --tp-size 4 --dp-size-local 2 --dp-rank-s
 ```
 
 ### (Optional) Run `dp_load_balance_proxy_server.py` to load balance requests between external dp servers
+
 External dp server means that you need to handle load balance between multiple dp instances out of vllm by implementing your custom proxy server. Here we provide an example of request-length-aware dp load-balance proxy server for you. The arguments of `dp_load_balance_proxy_server.py` include:
 
 1. `--port`: port of proxy server, default 8000