Smart Processing of Images and Tables in AI Agent
Updated
Smart Processing enables the AI Agent to read and understand images and tabular content within training resources. This capability must be enabled before training articles so the AI Agent can correctly extract and interpret non‑textual information.
To enable Smart Processing, a deployment parameter (DP) must be configured, and a Groovy configuration must be applied.
Enable Smart Processing in Your Environment
To activate Smart Processing, ensure the following deployment parameter is set:
DP Name: SMART_FAQ_MODEL_JOB_TEMPLATE_ID
Value: FAQBOT-SMART-TRAINING
This setting enables Smart Processing during FAQ training.
Configure Smart Processing of Images and Tables
Follow these steps to enable Smart Processing in training content.
Open Training Content settings
Navigate to Training Content.
Click the Prompt icon.
Click ${x} to open advanced configuration options.

Add custom Groovy code
Click Enter Custom Code.
In the Custom Code Editor, enter the following Groovy code:
def m = [:]
m["is_smart_processing_enabled"] = true
return m

This code enables Smart Processing for images and tables in the training content.
Save the configuration
Click Save in the bottom‑right corner to apply the changes.
Result
Once enabled, the AI Agent can process images and tables in training content, improving its ability to generate accurate and context‑aware responses.