Invoke AgentForce Agent
Overview
The Invoke Agentforce Agent interaction lets you send messages to an Agentforce agent directly from within an Avonni Dynamic Component. This provides a powerful way to integrate AI-powered assistance and intelligent automation into your user interface, enabling users to leverage agent capabilities without leaving the current page.
Important
Before you can use this interaction, you must first create and configure an Agentforce agent in Salesforce's Agent Builder. This interaction is a connector between your Dynamic Component and an existing agent—it does not create or configure the agent itself
What You Need Before Starting
An Active Agentforce Agent
Created in Salesforce Setup → Agent Builder
Fully configured with topics, actions, and instructions
Activated and ready to receive requests
Permissions are configured to access the data it needs
The Agent's API Name
Found in Agent Builder when viewing your agent's details
This is the unique identifier you'll use in the interaction configuration
Example:
Account_Summarizer_AgentorCustomer_Service_Agent
Without an agent created in Agent Builder, this interaction will not function. The interaction triggers an existing agent—all AI behavior, data access, and response logic must be configured in the agent itself.
How Agent Builder and Dynamic Components Work Together
Agent Builder: Where you define what the agent does, what data it can access, and how it responds
Dynamic Components: Where you create the user interface that triggers the agent and displays its responses
This Interaction: The bridge that connects user actions in your component to agent execution in Agent Builder
New to Agentforce? Learn how to create agents in Salesforce Agent Builder Documentation. Once your agent is ready, return here to integrate it with your Dynamic Components.
Supported Components
You can add the "Invoke Agentforce Agent" interaction to the following Avonni Dynamic Components:
Button
Button Group
Button Menu
Button Icon
Data Table (Header Actions)
List Item
Important
The "Invoke Agentforce Agent" interaction is designed for programmatic agent invocations that run in the background. The agent processes your message and returns a response that you can capture and use within your Dynamic Component.
How it Works
User Action: The user interacts with the component (e.g., clicks a button).
Agent Invocation: The "Invoke Agentforce Agent" interaction sends a message to the specified Agentforce agent.
Data Passing (Optional): You can pass parameters to the agent to provide context or specific instructions.
Agent Processing: The agent processes the message using its configured topics, actions, and AI capabilities.
Response Capture (Optional): The agent's response can be captured in a resource for use within your Dynamic Component.
Post-Execution Actions (Optional): You can configure actions to occur after the agent responds (e.g., display a toast message on success or error).
Configuration
The "Invoke Agentforce Agent" interaction connects a user action (such as clicking a button) to an Agentforce agent. When configured, it sends a message to the agent, optionally passes parameters for context, captures the agent's response, and handles success or error scenarios.
Add this interaction to any supported Avonni component through the component's properties panel under "Actions" or "Interactions." Select "Invoke Agentforce Agent" as the interaction type.
Agent API Name
This identifies which Agentforce agent will process your request. Enter the API name of the agent you created in Agent Builder. This is the unique identifier that tells Salesforce which agent to invoke when the interaction triggers.
User Message
This is the prompt or question you're sending to the agent. Think of it as the instruction you're giving to the AI. The message can be:
Static text: A fixed message like "Summarize this account"
Dynamic with merge syntax: Include variables from your component using
{!variableName}notation. For example,"Can you summarize this account {!combobox1.selectedItemSObject.Id}"dynamically inserts the selected account ID into your messageContext-rich: Combine static instructions with dynamic data to give the agent everything it needs
The agent receives this message and processes it according to its configured topics and actions.
Parameters (Optional)
Parameters let you pass additional structured data to the agent beyond the user message. This is useful when your agent expects specific named inputs or when you need to provide context separately from the primary prompt.
For each parameter you add:
Name: The parameter identifier your agent expects (defined in Agent Builder)
Value: What you're passing - this can be a fixed value, a component attribute, or a resource variable
Use parameters when your agent needs structured inputs rather than just parsing a text message.
Response Resource Name
This specifies where the interaction should store the agent's response. Enter the name of a text variable in your Dynamic Component. Once the agent responds, its answer is automatically saved to this variable, making it available for:
Displaying text components
Using formulas or conditional logic
Triggering additional actions based on the content
Passing to other interactions or flows
If you don't specify a resource, the agent still processes your request, but you won't be able to capture or display the response.
Step-by-Step Example
Summarizing Selected Accounts with Agentforce
Let's build a practical example where users can select multiple accounts from a data table and get an AI-powered summary by clicking a button.

Scenario Overview
You have an Avonni Data Table displaying a list of accounts in your Dynamic Component. Users can:
Check one or more accounts in the data table
Click a "Summarize Selected" button in the table's header actions
Receive an AI-generated summary of the selected accounts from an Agentforce agent
Before You Start
Prerequisites:
An Agentforce agent created and configured in Agent Builder
An Avonni Data Table component displaying account records
The data table is configured with row selection enabled (checkboxes visible)
Setup Steps
Prepare Your Data Table
First, you'll set up the data table that displays your accounts and configure it to allow users to select records and trigger the agent. This creates the foundation for the interactive summarization feature.
Add the Data Table
Add an Avonni Data Table to your Dynamic Component
Configure it to display Account records
API Name: Note this (e.g.,
Datatable1) - you'll need it later to reference the selected rows
Enable Row Selection
In the data table properties, enable row selection (checkboxes)
This allows users to select multiple accounts they want to summarize
Add a Header Action Button
In the data table's Header Actions section
Add a button with a label like "Summarize Selected Accounts"
This button will trigger the agent invocation when clicked
Create a Variable to Store the Agent's Response
Before invoking the agent, you need a place to store the response it returns. This variable will capture the AI-generated summary so you can display it to users or use it elsewhere in your component.
Create a Text Variable
In your Dynamic Component resources
API Name:
agentResponse(or your preferred name)Data Type: Text
This will store the summary returned by the agent

Configure the "Invoke Agentforce Agent" Interaction
Now configure what happens when users click the "Summarize Selected Accounts" button.
Select Your Header Action Button
Click on the button you created in Step 1
Add an Interaction
In the button's properties, add a new action/interaction
Select "Invoke Agentforce Agent"
Configure the Agent Settings Fill in the following fields in the interaction configuration: Agent API Name Enter the API name of your agent from Agent Builder. Example:
Account_Summarizer_AgentTo find your agent's API name: Go to Agent Builder → Select your agent → Copy the API Name from the agent details
User Message: This is the prompt you're sending to the agent. Copy and paste the template below, then customize as needed:
System:
You are a Salesforce-savvy sales analyst. Be concise and structured.
User:
Summarize the following Salesforce Accounts selected by the user.
Include: # of accounts, total ARR/Annual Revenue (if present), top industries, common products, notable white space, and a 5-bullet executive summary.
Records Ids:
{!Datatable1.selectedRowsKeyValue}Important: Replace Datatable1 with your actual data table's API Name.
What this does:
{!Datatable1.selectedRowsKeyValue}dynamically inserts the IDs of all accounts the user selectedThe agent receives these IDs and can query Salesforce for the full account details.
Response Resource Name
Enter: agentResponse
This is the variable name you created in Step 2. The agent's summary will be stored here.

Display the Agent's Response
Now that the agent interaction is configured and will store its response in the agentResponse variable, you need to show this summary to users. We'll add a component that displays the agent's response and only appears after the agent has returned results.
Add a Display Component
Add a component to show the summary (e.g., Profile Card, Display Text, or Rich Text component)
Place it in a visible location on your Dynamic Component canvas
Configure the Component Content
In the component's properties, find the field for displaying text content
Set the value to
{!agentResponse}This will display whatever the agent returns
Set Component Visibility (Optional but recommended)
Select your display component
Find Set Component Visibility in the properties panel
Create a condition so the component only appears when there's a response to show:
{!agentResponse} IS NOT NULLWhat this does: The component stays hidden until the agent returns a response. Once agentResponse contains data, the component automatically appears with the summary.
What you've accomplished: Users will now see the AI-generated summary appear on screen after clicking the "Summarize Selected Accounts" button. The summary component remains hidden until there's actually content to display, keeping your interface clean
Important Considerations
Agent Configuration: Ensure your Agentforce agent is correctly configured with the necessary topics, actions, and permissions to handle your requests.
Message Format: Structure your user message clearly to help the agent understand the intent. Include relevant context using merge syntax.
Parameter Names: If using parameters, ensure the parameter names match what your agent expects.
Response Handling: Plan how you'll use the agent's response—whether to display it to users, update records, or trigger additional actions.
Error Handling: Use the "On Error" action to handle any errors that might occur during agent invocation gracefully.
Performance: Agent invocations may take a few seconds to process. Consider adding loading indicators or informative messages to manage user expectations.
In Summary
The "Invoke Agentforce Agent" interaction is a valuable feature for adding AI-powered intelligence to your Dynamic Components. Configuration settings include specifying the agent to invoke, crafting the user message with dynamic context, passing parameters, capturing the response, and defining success and error actions
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