[Doc] Improve GitHub links (#11491)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

docs/source/design/arch_overview.md

@@ -55,7 +55,7 @@ for output in outputs:
 More API details can be found in the {doc}`Offline Inference
 </dev/offline_inference/offline_index>` section of the API docs.
 
-The code for the `LLM` class can be found in [vllm/entrypoints/llm.py](https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/llm.py).
+The code for the `LLM` class can be found in <gh-file:vllm/entrypoints/llm.py>.
 
 ### OpenAI-compatible API server
 
@@ -66,7 +66,7 @@ This server can be started using the `vllm serve` command.
 vllm serve <model>
 ```
 
-The code for the `vllm` CLI can be found in [vllm/scripts.py](https://github.com/vllm-project/vllm/blob/main/vllm/scripts.py).
+The code for the `vllm` CLI can be found in <gh-file:vllm/scripts.py>.
 
 Sometimes you may see the API server entrypoint used directly instead of via the
 `vllm` CLI command. For example:
@@ -75,7 +75,7 @@ Sometimes you may see the API server entrypoint used directly instead of via the
 python -m vllm.entrypoints.openai.api_server --model <model>
 ```
 
-That code can be found in [vllm/entrypoints/openai/api_server.py](https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/openai/api_server.py).
+That code can be found in <gh-file:vllm/entrypoints/openai/api_server.py>.
 
 More details on the API server can be found in the {doc}`OpenAI Compatible
 Server </serving/openai_compatible_server>` document.
@@ -105,7 +105,7 @@ processing.
 - **Output Processing**: Processes the outputs generated by the model, decoding the
   token IDs from a language model into human-readable text.
 
-The code for `LLMEngine` can be found in [vllm/engine/llm_engine.py].
+The code for `LLMEngine` can be found in <gh-file:vllm/engine/llm_engine.py>.
 
 ### AsyncLLMEngine
 
@@ -115,10 +115,9 @@ incoming requests. The `AsyncLLMEngine` is designed for online serving, where it
 can handle multiple concurrent requests and stream outputs to clients.
 
 The OpenAI-compatible API server uses the `AsyncLLMEngine`. There is also a demo
-API server that serves as a simpler example in
-[vllm/entrypoints/api_server.py].
+API server that serves as a simpler example in <gh-file:vllm/entrypoints/api_server.py>.
 
-The code for `AsyncLLMEngine` can be found in [vllm/engine/async_llm_engine.py].
+The code for `AsyncLLMEngine` can be found in <gh-file:vllm/engine/async_llm_engine.py>.
 
 ## Worker
 
@@ -252,7 +251,3 @@ big problem.
 
 In summary, the complete config object `VllmConfig` can be treated as an
 engine-level global state that is shared among all vLLM classes.
-
-[vllm/engine/async_llm_engine.py]: https://github.com/vllm-project/vllm/tree/main/vllm/engine/async_llm_engine.py
-[vllm/engine/llm_engine.py]: https://github.com/vllm-project/vllm/tree/main/vllm/engine/llm_engine.py
-[vllm/entrypoints/api_server.py]: https://github.com/vllm-project/vllm/tree/main/vllm/entrypoints/api_server.py