docs: add pointing client remote server

docs/docs/guides/04-using-models/02-import-manually.mdx

@@ -28,7 +28,7 @@ Jan is compatible with all GGUF models.
 
 If you can not find the model you want in the Hub or have a custom model you want to use, you can import it manually.
 
-In this guide, we will show you how to import a GGUF model from [HuggingFace](https://huggingface.co/), using our lastest model, [Trinity](https://huggingface.co/janhq/trinity-v1-GGUF), as an example.
+In this guide, we will show you how to import a GGUF model from [HuggingFace](https://huggingface.co/), using our latest model, [Trinity](https://huggingface.co/janhq/trinity-v1-GGUF), as an example.
 
 > We are fast shipping a UI to make this easier, but it's a bit manual for now. Apologies.
 
@@ -126,7 +126,7 @@ Edit `model.json` and include the following configurations:
 - Ensure the filename must be `model.json`.
 - Ensure the `id` property matches the folder name you created.
 - Ensure the GGUF filename should match the `id` property exactly.
-- Ensure the `source_url` property is the direct binary download link ending in `.gguf`. In HuggingFace, you can find the direct links in `Files and versions` tab.
+- Ensure the `source_url` property is the direct binary download link ending in `.gguf`. In HuggingFace, you can find the direct links in the `Files and versions` tab.
 - Ensure you are using the correct `prompt_template`. This is usually provided in the HuggingFace model's description page.
 - Ensure the `state` property is set to `ready`.
 
@@ -154,9 +154,9 @@ Edit `model.json` and include the following configurations:
       "tags": ["7B", "Merged"],
       "size": 4370000000
     },
+    "engine": "nitro",
     // highlight-next-line
-    "state": "ready",
-    "engine": "nitro"
+    "state": "ready"
   }
 ```
 
@@ -168,6 +168,70 @@ Restart Jan and navigate to the Hub. Locate your model and click the `Download`
 
 Your model is now ready to use in Jan.
 
+## Configuring Client Connection to Remote/Local Server
+
+In this guide, we will show you how to configure a client connection to a remote/local server, using LM Studio as an example.
+
+At the moment, you can only connect to one compatible server at a time (e.g OpenAI Platform, Azure OpenAI, LM Studio, etc)
+
+### 1. Configure Local Server in Engine
+
+Create `lmstudio.json` in the `~/jan/engines` folder. Configure `full_url` properties with the endpoint server that you want to connect. For example, if you want to connect to LM Studio, you can configure as follows:
+
+```js
+{
+  // highlight-next-line
+  "full_url": "http://<REMOTE_LMSTUDIO_IP>:<REMOTE_LMSTUDIO_PORT>/v1/chat/completions",
+  // Skip api_key if your local server does not require authentication
+  // "api_key": "sk-<your key here>"
+}
+```
+
+### 2. Create a Model JSON
+
+Navigate to the `~/jan/models` folder. Create a folder named `remote-lmstudio` and create a `model.json` file inside the folder including the following configurations:
+
+- Ensure the filename must be `model.json`.
+- Ensure the `id` property matches the folder name you created.
+- Ensure the `format` property is set to `api`.
+- Ensure the `engine` property is set to as the filename that you recently created in `~/jan/models`. In this example, it is `lmstudio`.
+- Ensure the `state` property is set to `ready`.
+
+```js
+{
+    "source": [
+      {
+        "filename": "lmstudio",
+        "url": "https://lmstudio.ai"
+      }
+    ],
+    // highlight-next-line
+    "id": "remote-lmstudio",
+    "object": "model",
+    "name": "remote lmstudio",
+    "version": "1.0",
+    "description": "Jan integration with remote LMstudio server",
+    // highlight-next-line
+    "format": "api",
+    "settings": {},
+    "parameters": {},
+    "metadata": {
+    "author": "LMstudio",
+    "tags": ["remote", "awesome"]
+    },
+    // highlight-start
+    "engine": "lmstudio",
+    "state": "ready"
+    // highlight-end
+}
+```
+
+### 3. Start the Model
+
+Restart Jan and navigate to the Hub. Locate your model and click the Use button.
+
+![start-model](assets/configure-local-server.png)
+
 ## Assistance and Support
 
 If you have questions or are looking for more preconfigured GGUF models, please feel free to join our [Discord community](https://discord.gg/Dt7MxDyNNZ) for support, updates, and discussions.