Agentforce API and SDKs

# Salesforce Agentforce API and SDKs Explained: Complete Developer Guide

## Introduction

Artificial Intelligence is transforming how businesses automate tasks, interact with customers, and manage operations.

Salesforce Agentforce allows organizations to build AI-powered agents that can understand requests, perform configured actions, and interact with business data.

But what happens when developers want to connect these AI agents with external applications, websites, or custom software?

This is where **Agentforce APIs and SDKs** become important.

They help developers integrate Agentforce capabilities into applications and create AI-powered experiences beyond standard Salesforce interfaces.

In this blog, we’ll explore what Agentforce APIs and SDKs are, how they work, their differences, practical use cases, and integration best practices.

## What Is Salesforce Agentforce?

Salesforce Agentforce is a platform for creating and managing AI agents that can assist users and execute tasks within configured boundaries.

These agents can use approved business information, tools, and actions to respond to requests.

### Key Features of Agentforce

– AI-powered conversational experiences
– Integration with Salesforce data
– Automated business workflows
– Support for custom agent actions
– Integration with external applications
– Configurable security and access controls

**Example:**

A customer asks an AI agent:

“Can you check the status of my support case?”

An Agentforce agent can use an authorized action to retrieve the case information and provide a response.

## What Is the Agentforce API?

The Agentforce API provides a programmatic way for supported external applications to interact with deployed Agentforce agents.

Developers can use API operations to create agent sessions, send messages, receive responses, and manage conversations.

### Key Capabilities

1. **Start Agent Sessions:** Initialize a conversation with a supported agent.
2. **Send User Messages:** Submit requests from an external application.
3. **Receive Agent Responses:** Process responses generated by the agent.
4. **Maintain Conversation Context:** Use session identifiers to continue supported conversations.
5. **Integrate Applications:** Connect supported agents to custom websites, services, or applications.

### Example

Imagine a company has a custom customer support portal.

Instead of requiring users to open Salesforce, developers can integrate an Agentforce agent into the portal.

The customer enters:

“Show me the status of my latest order.”

The application sends the request through the Agentforce API. The agent uses its configured tools and authorized data access to process the request and return a response.

## What Are Agentforce SDKs?

SDK stands for **Software Development Kit**.

An SDK provides development tools, libraries, and interfaces that simplify interaction with a platform.

Agentforce-related SDKs can help developers integrate agent capabilities without manually implementing every low-level API interaction.

Depending on the supported SDK and platform, developers may receive utilities for session management, messaging, authentication integration, or application development.

### Benefits of SDKs

– Simplify development
– Reduce repetitive integration code
– Improve maintainability
– Provide reusable interfaces
– Support application-specific agent experiences

SDK availability, supported languages, and features depend on the particular Salesforce Agentforce offering and release.

## Agentforce API vs SDKs: Key Differences

**Important:** An SDK generally works with underlying platform APIs. APIs and SDKs are complementary technologies rather than competing Salesforce features.

## How Agentforce API Integration Works

A typical integration follows these steps.

### Step 1: Configure the Agent

Create and configure an Agentforce agent with the required topics, instructions, actions, and data access.

### Step 2: Configure Authentication

Set up the supported Salesforce authentication and authorization mechanism.

Depending on the integration, this may involve OAuth configuration and an appropriate connected application or external client application.

### Step 3: Start an Agent Session

The external application initiates a session using the supported Agentforce API.

### Step 4: Send a Message

The application sends a customer question or task request to the agent.

### Step 5: Process the Request

The agent interprets the request and determines whether its configured actions or data sources are needed.

### Step 6: Return the Response

The application receives the agent’s response and displays it to the user.

### Step 7: Continue or End the Session

The application can continue the conversation using the supported session mechanism or close it when appropriate.

## Practical Use Cases of Agentforce APIs and SDKs

### 1. AI-Powered Customer Support

Businesses can integrate an Agentforce agent into customer support applications to help users retrieve case information, understand service policies, or perform approved support actions.

### 2. Sales Assistance

A sales application can use Agentforce to assist representatives with account information, opportunity summaries, and follow-up activities.

### 3. E-Commerce Applications

An online store can connect supported Agentforce capabilities to help customers check order details, understand return policies, or find product information.

### 4. Employee Assistance

Organizations can build internal AI assistants that help employees find approved information and initiate routine workflows.

### 5. Custom Mobile Applications

Developers can use supported integration approaches to bring agent-powered interactions into mobile applications.

## Agentforce API and SDK Best Practices

### 1. Use Secure Authentication

Never expose sensitive access tokens or credentials in public application code.

Use supported authentication methods and secure credential storage.

### 2. Apply Least-Privilege Access

Give agents and integrations only the permissions needed for their intended tasks.

### 3. Validate Agent Actions

Ensure sensitive operations are authorized and validated before execution.

### 4. Handle API Errors

Implement appropriate error handling for authentication failures, timeouts, rate limits, and service errors.

### 5. Monitor API Usage

Track usage and applicable limits to maintain reliable application performance.

### 6. Test Conversation Scenarios

Test successful interactions, invalid requests, unexpected inputs, and sensitive operations before deployment.

### 7. Check Salesforce Documentation

Agentforce features and developer interfaces evolve. Verify supported endpoints, SDK versions, licensing requirements, and availability before implementation.

## Frequently Asked Questions

### Q1. What is the Agentforce API in Salesforce?

The Agentforce API enables supported applications to communicate programmatically with deployed Agentforce agents.

### Q2. What is the difference between Agentforce API and SDK?

An API defines how applications communicate with a service, while an SDK provides tools and libraries to simplify development using supported interfaces.

### Q3. Can Agentforce integrate with external applications?

Yes. Supported Agentforce APIs and integration technologies allow developers to connect agents with external applications.

### Q4. Does Agentforce API require authentication?

Yes. Developers must configure the authentication and authorization mechanisms required by the relevant Salesforce API.

### Q5. Can developers build custom AI assistants using Agentforce?

Yes. Developers can configure agents and integrate them into supported applications to create AI-powered assistant experiences.

### Q6. Are Agentforce SDKs available for every programming language?

No. Language support depends on the specific SDK and Salesforce release. Developers should verify the current supported options.

## Conclusion

Salesforce Agentforce APIs and SDKs help developers extend AI-powered agent experiences beyond standard Salesforce interfaces.

The **Agentforce API** provides programmatic communication with supported agents, while **Agentforce SDKs** simplify supported development and integration workflows.

Together, these technologies help organizations build AI-powered customer support systems, employee assistants, sales applications, and custom digital experiences.

**Final Takeaway:** Use the Agentforce API when you need direct control over integration requests, and use an appropriate SDK when you want to simplify development with supported libraries.