Docs: improve link to docs (#3860)

Co-authored-by: Chayenne <zhaochen20@outlook.com>

docs/backend/openai_api_vision.ipynb

@@ -26,7 +26,7 @@
     "\n",
     "Launch the server in your terminal and wait for it to initialize.\n",
     "\n",
-    "**Remember to add `--chat-template llama_3_vision` to specify the vision chat template, otherwise the server only supports text, and performance degradation may occur.**\n",
+    "**Remember to add** `--chat-template llama_3_vision` **to specify the vision chat template, otherwise the server only supports text, and performance degradation may occur.**\n",
     "\n",
     "We need to specify `--chat-template` for vision language models because the chat template provided in Hugging Face tokenizer only supports text."
    ]
@@ -46,7 +46,7 @@
     "\n",
     "from sglang.utils import wait_for_server, print_highlight, terminate_process\n",
     "\n",
-    "embedding_process, port = launch_server_cmd(\n",
+    "vision_process, port = launch_server_cmd(\n",
     "    \"\"\"\n",
     "python3 -m sglang.launch_server --model-path meta-llama/Llama-3.2-11B-Vision-Instruct \\\n",
     "    --chat-template=llama_3_vision\n",
@@ -245,7 +245,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "terminate_process(embedding_process)"
+    "terminate_process(vision_process)"
    ]
   },
   {

docs/backend/server_arguments.md

@@ -52,7 +52,7 @@ Please consult the documentation below to learn more about the parameters you ma
 * `chat_template`: The chat template to use. Deviating from the default might lead to unexpected responses. For multi-modal chat templates, refer to [here](https://docs.sglang.ai/backend/openai_api_vision.html#Chat-Template).
 * `is_embedding`: Set to true to perform [embedding](https://docs.sglang.ai/backend/openai_api_embeddings.html) / [encode](https://docs.sglang.ai/backend/native_api.html#Encode-(embedding-model)) and [reward](https://docs.sglang.ai/backend/native_api.html#Classify-(reward-model)) tasks.
 * `revision`: Adjust if a specific version of the model should be used.
-* `skip_tokenizer_init`: Set to true to provide the tokens to the engine and get the output tokens directly, typically used in RLHF.
+* `skip_tokenizer_init`: Set to true to provide the tokens to the engine and get the output tokens directly, typically used in RLHF. Please see this [example for reference](https://github.com/sgl-project/sglang/blob/main/examples/runtime/engine/input_ids.py).
 * `json_model_override_args`: Override model config with the provided JSON.
 * `delete_ckpt_after_loading`: Delete the model checkpoint after loading the model.
 

docs/router/router.md

@@ -27,11 +27,13 @@ The router supports two working modes:
 This will be a drop-in replacement for the existing `--dp-size` argument of SGLang Runtime. Under the hood, it uses multi-processes to launch multiple workers, wait for them to be ready, then connect the router to all workers.
 
 ```bash
-$ python -m sglang_router.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct --dp-size 1
+python -m sglang_router.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct --dp-size 4
 ```
 
 After the server is ready, you can directly send requests to the router as the same way as sending requests to each single worker.
 
+Please adjust the batchsize accordingly to archieve maximum throughput.
+
 ```python
 import requests
 
@@ -47,7 +49,7 @@ print(response.json())
 This is useful for multi-node DP. First, launch workers on multiple nodes, then launch a router on the main node, and connect the router to all workers.
 
 ```bash
-$ python -m sglang_router.launch_router --worker-urls http://worker_url_1 http://worker_url_2
+python -m sglang_router.launch_router --worker-urls http://worker_url_1 http://worker_url_2
 ```
 
 ## Dynamic Scaling APIs
@@ -59,30 +61,33 @@ We offer `/add_worker` and `/remove_worker` APIs to dynamically add or remove wo
 Usage:
 
 ```bash
-$ curl -X POST http://localhost:30000/add_worker?url=http://worker_url_1
+curl -X POST http://localhost:30000/add_worker?url=http://worker_url_1
 ```
 
 Example:
 
 ```bash
-$ python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct --port 30001
-$ curl -X POST http://localhost:30000/add_worker?url=http://127.0.0.1:30001
-Successfully added worker: http://127.0.0.1:30001
+python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-8B-Instruct --port 30001
+
+curl -X POST http://localhost:30000/add_worker?url=http://127.0.0.1:30001
+
+# Successfully added worker: http://127.0.0.1:30001
 ```
 
 - `/remove_worker`
 
 Usage:
 
 ```bash
-$ curl -X POST http://localhost:30000/remove_worker?url=http://worker_url_1
+curl -X POST http://localhost:30000/remove_worker?url=http://worker_url_1
 ```
 
 Example:
 
 ```bash
-$ curl -X POST http://localhost:30000/remove_worker?url=http://127.0.0.1:30001
-Successfully removed worker: http://127.0.0.1:30001
+curl -X POST http://localhost:30000/remove_worker?url=http://127.0.0.1:30001
+
+# Successfully removed worker: http://127.0.0.1:30001
 ```
 
 Note: