Fixed GitHub alignment issues and notes in AI

Author: danciaclara

docs/self-hosting/govern/integrations/github.md

@@ -43,9 +43,11 @@ Follow these steps to create a GitHub App, set callback URLs, and configure webh
 1. Go to **Settings \> Developer Settings \> GitHub Apps** in your GitHub organization.
 
 2. Click **New GitHub App**.
+
    ![Create GitHub App](/images/integrations/github/create-github-app.webp#hero)
 
 3. In the **Register new GitHub App** page, provide a **GitHub App name** and **Homepage URL**.
+
    ![App name and homepage URL](/images/integrations/github/app-name-homepage-url.webp#hero)
 
 4. In the **Identifying and authorizing users** section, add the following **Callback URLS**.
@@ -56,11 +58,12 @@ Follow these steps to create a GitHub App, set callback URLs, and configure webh
    ```
 
    These URLs allow Plane to verify and enable workspace connection with the Github App.
+
    ![Add Callback URL](/images/integrations/github/add-callback-url.webp#hero)
 
-   :::warning
-   Make sure to opt out of **Expire user authorization tokens** feature.
-   :::
+      :::warning
+      Make sure to opt out of **Expire user authorization tokens** feature.
+      :::
 
 5. In the **Post installation** section, add the below **Setup URL**.
 
@@ -69,6 +72,7 @@ Follow these steps to create a GitHub App, set callback URLs, and configure webh
    ```
 
    Redirects users to this URL after GitHub app installation.
+
    ![Add setup URL](/images/integrations/github/add-setup-url.webp#hero)
 
 6. Turn on **Redirect on update**.
@@ -91,9 +95,11 @@ These steps cover hostname, callback URLs, and private key differences for on‑
 1. Go to **Settings \> Developer Settings \> GitHub Apps** in your GitHub organization.
 
 2. Click **New GitHub App**.
+
    ![Create GitHub App](/images/integrations/github/create-github-app.webp#hero)
 
 3. In the **Register new GitHub App** page, provide a **GitHub App name** and **Homepage URL**.
+
    ![App name and homepage URL](/images/integrations/github/app-name-homepage-url.webp#hero)
 
 4. In the **Identifying and authorizing users** section, add the following **Callback URLS**.
@@ -114,9 +120,9 @@ These steps cover hostname, callback URLs, and private key differences for on‑
 
    These URLs allow Plane to verify and enable workspace connection with the Github App.
    ![Add Callback URL](/images/integrations/github/add-callback-url.webp#hero)
-   :::warning
-   Make sure to opt out of **Expire user authorization tokens** feature.
-   :::
+      :::warning
+      Make sure to opt out of **Expire user authorization tokens** feature.
+      :::
 
 5. In the **Post installation** section, add the below **Setup URL**.
 
@@ -160,6 +166,7 @@ These steps cover hostname, callback URLs, and private key differences for on‑
 ### Set up permissions and events
 
 1. Add repository and account permissions by setting the **Access** dropdown next to each permission, as shown in the tables below.
+
    ![Setup permissions](/images/integrations/github/setup-permissions.webp#hero)
 
    **Repository permissions**

docs/self-hosting/govern/plane-ai.md

@@ -41,6 +41,10 @@ Supported models:
 
 You can provide API keys for both OpenAI and Anthropic, making all models available to users. If you provide only one key, users will only have access to that provider's models.
 
+:::tip
+If you need to use an LLM that isn't from OpenAI or Anthropic — for example, an open-source model or a regional provider for compliance reasons — you can proxy it through [LiteLLM](https://docs.litellm.ai). LiteLLM exposes any LLM behind an OpenAI-compatible API, which Plane can then connect to using the `CUSTOM_LLM_*` variables with `CUSTOM_LLM_PROVIDER=openai`.
+:::
+
 #### Custom models (self-hosted or third-party)
 
 Plane AI supports custom models through two backends:
@@ -51,7 +55,7 @@ Plane AI supports custom models through two backends:
 One custom model can be configured alongside your public provider keys.
 
 ::: warning
-The custom model should have at least 100 billion parameters for all Plane AI features to work reliably. Larger, more capable models yield better results.
+The custom model should have at least 1 trillion parameters for all Plane AI features to work reliably. Larger, more capable models yield better results.
 :::
 
 ### Embedding models