The Agent Creation feature is integrated into the platform’s workflow configuration settings. The UI is organized into several key sections to help you create, configure tools for, and deploy Agents. Below, I’ll describe the UI for each major section and explain how to interact with it.
Purpose: Create and configure a new Agent, defining its name, model, and behavior.How to Access:
From the App Configuration UI, click the “Create Agent” button.
UI Elements:
Form Layout: A structured form with labeled fields and buttons.
“Name” Field: Text box for a unique Agent name (e.g., “SupportBot”).
“Description” Text Area: Larger text box for the Agent’s purpose (e.g., “Handles customer support queries”).
“LLM Model” Dropdown: Lists available models (e.g., Claude Sonnet 3.5). Displays “No models available” if none are configured.
“Set up AI Service” Link/Button: Appears next to the LLM dropdown if no models are available, linking to AI Service setup.
“Training Instructions” Text Area: Field for behavior guidance (e.g., “Ask users for issue details before creating a ticket”).
“Start Conversation” Button: Opens a chat interface to test the Agent.
Chat Interface: Pop-up or inline window with a text input for messages and a response display area.
“Clear Conversation” Option: Button or link in the chat interface to reset the conversation.
“Save” Button: Saves the configuration and redirects to the Agent’s profile page.
Agent Profile Page: Displays the saved configuration with an “Edit” button to modify settings and a “Start Conversation” button for testing.
User Interaction:
Enter a name and description in the respective fields.
Select an LLM model from the dropdown; if none, click “Set up AI Service” to configure one.
Add instructions in the “Training Instructions” text area.
Click “Start Conversation” to test (e.g., type “Help me with a login issue”), and use “Clear Conversation” to restart if needed.
Click “Save” to create the Agent and view its profile.
On the profile page, use “Edit” to adjust settings or “Start Conversation” to test further.
Example: For L1 support, name it “SupportBot,” describe it as “Handles initial customer queries,” select Claude Sonnet 3.5, and instruct it to “Ask for issue details and priority.”
Example: For a Create Record tool, name it “NewTicket,” describe it as “Creates a support ticket,” select the Support App, add “Issue Description” with “Ask the user what’s wrong,” and return the ticket ID.
Testing: Use “Start Conversation” to test Agents before saving.
Descriptions: Provide clear descriptions in all text areas for accurate Agent behavior.
Visual Cues: Look for links like “Set up AI Service” if options are missing—they guide to prerequisite setups.
By navigating these UI elements, you can create and deploy Agents for L1 support or other workflows. Refer to the knowledge base or support for further assistance.