docs: update docs icons (#12465)

### What problem does this PR solve?

Update icons for docs.
Trailing spaces are auto truncated by the editor, does not affect real
content.

### Type of change

- [x] Documentation Update

docs/guides/agent/agent_component_reference/categorize.mdx

@@ -1,11 +1,14 @@
 ---
 sidebar_position: 8
 slug: /categorize_component
+sidebar_custom_props: {
+  categoryIcon: LucideSwatchBook
+}
 ---
 
 # Categorize component
 
-A component that classifies user inputs and applies strategies accordingly. 
+A component that classifies user inputs and applies strategies accordingly.
 
 ---
 
@@ -23,7 +26,7 @@ A **Categorize** component is essential when you need the LLM to help you identi
 
 Select the source for categorization.
 
-The **Categorize** component relies on query variables to specify its data inputs (queries). All global variables defined before the **Categorize** component are available in the dropdown list.  
+The **Categorize** component relies on query variables to specify its data inputs (queries). All global variables defined before the **Categorize** component are available in the dropdown list.
 
 
 ### Input
@@ -31,7 +34,7 @@ The **Categorize** component relies on query variables to specify its data input
 The **Categorize** component relies on input variables to specify its data inputs (queries). Click **+ Add variable** in the **Input** section to add the desired input variables. There are two types of input variables: **Reference** and **Text**.
 
 - **Reference**: Uses a component's output or a user input as the data source. You are required to select from the dropdown menu:
-  - A component ID under **Component Output**, or 
+  - A component ID under **Component Output**, or
   - A global variable under **Begin input**, which is defined in the **Begin** component.
 - **Text**: Uses fixed text as the query. You are required to enter static text.
 
@@ -39,29 +42,29 @@ The **Categorize** component relies on input variables to specify its data input
 
 Click the dropdown menu of **Model** to show the model configuration window.
 
-- **Model**: The chat model to use.  
+- **Model**: The chat model to use.
   - Ensure you set the chat model correctly on the **Model providers** page.
   - You can use different models for different components to increase flexibility or improve overall performance.
 - **Creativity**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model. From **Improvise**, **Precise**, to **Balance**, each preset configuration corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.
-  This parameter has three options:  
+  This parameter has three options:
   - **Improvise**: Produces more creative responses.
   - **Precise**: (Default) Produces more conservative responses.
   - **Balance**: A middle ground between **Improvise** and **Precise**.
-- **Temperature**: The randomness level of the model's output.  
-  Defaults to 0.1.  
+- **Temperature**: The randomness level of the model's output.
+  Defaults to 0.1.
   - Lower values lead to more deterministic and predictable outputs.
   - Higher values lead to more creative and varied outputs.
   - A temperature of zero results in the same output for the same prompt.
-- **Top P**: Nucleus sampling.  
+- **Top P**: Nucleus sampling.
   - Reduces the likelihood of generating repetitive or unnatural text by setting a threshold *P* and restricting the sampling to tokens with a cumulative probability exceeding *P*.
   - Defaults to 0.3.
-- **Presence penalty**: Encourages the model to include a more diverse range of tokens in the response.  
+- **Presence penalty**: Encourages the model to include a more diverse range of tokens in the response.
   - A higher **presence penalty** value results in the model being more likely to generate tokens not yet been included in the generated text.
   - Defaults to 0.4.
-- **Frequency penalty**: Discourages the model from repeating the same words or phrases too frequently in the generated text.  
+- **Frequency penalty**: Discourages the model from repeating the same words or phrases too frequently in the generated text.
   - A higher **frequency penalty** value results in the model being more conservative in its use of repeated tokens.
   - Defaults to 0.7.
-- **Max tokens**:  
+- **Max tokens**:
   This sets the maximum length of the model's output, measured in the number of tokens (words or pieces of words). It is disabled by default, allowing the model to determine the number of tokens in its responses.
 
 :::tip NOTE
@@ -81,7 +84,7 @@ This feature is used for multi-turn dialogue *only*. If your **Categorize** comp
 
 ### Category name
 
-A **Categorize** component must have at least two categories. This field sets the name of the category. Click **+ Add Item** to include the intended categories. 
+A **Categorize** component must have at least two categories. This field sets the name of the category. Click **+ Add Item** to include the intended categories.
 
 :::tip NOTE
 You will notice that the category name is auto-populated. No worries. Each category is assigned a random name upon creation. Feel free to change it to a name that is understandable to the LLM.
@@ -89,7 +92,7 @@ You will notice that the category name is auto-populated. No worries. Each categ
 
 #### Description
 
-Description of this category.  
+Description of this category.
 
 You can input criteria, situation, or information that may help the LLM determine which inputs belong in this category.