Overview
Custom Chat is built around the ChatPro data class container component. It provides the tools to build a fully customizable AI chat interface. Unlike traditional, fixed chat interfaces, you can drag and drop atomic components to assemble a custom AI chat application that meets your business needs.
Core advantages
Atomic component system: All components can be configured independently and freely combined.
Multi-role support: Enables personalized interface customization for different roles.
Rich component ecosystem: A complete toolbox for building chat applications.
Low-code building: Visual drag-and-drop for a What You See Is What You Get (WYSIWYG) experience.
Quick start
Quick build
Find the ChatPro chat container in the component panel and drag it to the canvas.
The system automatically configures an optimal layout, which includes:
Welcome page
The welcome page appears by default when the ChatPro data is empty.
Multi-role list
You can switch between user and role views.
Input box
You can input text and upload files.
Configuration view supporting deep thinking and web search
Chain-of-thought
Deep thinking
AI integration configuration
If an AI service is not configured, a quick create button appears on the right.
Click the button to quickly create a built-in Model Studio integration operation.
Configure the API-KEY and appId as needed.
Enter a question in the input box to quickly test the agent.
If the Model Studio agent application does not meet your business needs, you can manually configure a custom AI integration operation. Chat Pro currently supports the following types of integration operations:
Built-in Model Studio application integration
Large model ensemble in Model Studio
Application Integration with the Model Studio Agent
Dify integration
Custom large model integration
HTTP integration