How to Build Headless AI Agents with Salesforce Agent API

 

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In this article, I explain how the Salesforce Agent API enables organizations to build headless AI agents that operate across websites, mobile applications, backend services, middleware, and external platforms.

Unlike traditional chatbots that depend on a user interface, headless agents can run server-side and complete tasks without continuous human interaction. Through the REST-based Agent API, external systems can start conversations with Agentforce agents, pass business context, receive responses, and support both synchronous and streaming interactions.

The blog explores key capabilities such as autonomous execution, Salesforce-aware reasoning, cross-platform integration, API-first architecture, and multi-agent orchestration. It also explains how specialized agents can work together for processes such as loan approvals, insurance claims, patient onboarding, order fulfillment, case resolution, and employee onboarding.

I also compare the Agent API with the Messaging for In-App and Web API. While MIAW is designed for user-facing conversations and human handoffs, the Agent API is better suited for backend automation and fully autonomous workflows.

The article covers the architecture, OAuth-based authentication, Connected App configuration, token generation, Agent API endpoints, and Postman testing.

The key takeaway is that the Salesforce Agent API extends Agentforce beyond the Salesforce interface, allowing businesses to embed trusted, context-aware AI into almost any application or workflow.




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