Salesforce Headless Agents LIVE | Agent API, Apex Integration, Data Cloud and Multi Org Architecture скачать в хорошем качестве

Salesforce Headless Agents LIVE | Agent API, Apex Integration, Data Cloud and Multi Org Architecture

Join this LIVE deep dive on building Headless Agents in Salesforce using the Agent API, Apex, Data Cloud, and multi org architecture. Github Repo : https://github.com/Salesforce-Develop... This live session covers the complete end to end implementation of headless agents, from environment setup and GitHub deployment to OAuth authentication, connected apps, Postman testing, Apex callouts, session management, and real world Lightning Web Component integration. Unlike traditional chat based agents, headless agents are invoked programmatically using APIs and run silently in the background. This architecture enables AI driven automation, personalization, and enterprise integrations without exposing a chat interface. This live will walk through the complete production ready architecture. What You Will Learn • What is a headless agent in Salesforce • Understanding the Agent API architecture • Multi org design with master org and child org invocation • Deploying Apex classes and LWC from GitHub using Salesforce CLI • Data Cloud setup with unstructured PDF ingestion • Retriever configuration and prompt template creation • Building a knowledge powered recommendation agent • Connected App creation and OAuth client credentials flow • Secure API authentication using client ID and client secret • Invoking agents using REST API • Postman testing for Agent API endpoints • Session initialization and session ID management • Streaming vs synchronous endpoints explained • Building an Apex service class for API callouts • Custom metadata for secure credential storage • Remote site settings configuration • JSON payload construction and response parsing • Integrating headless agents with Lightning Web Components • Real world book library application with AI recommendations Real World Use Case Covered We implement a complete book library application where: • A master org hosts the AI powered recommendation agent • A separate org invokes the agent using Agent API • Users browse books in LWC • AI recommendations are generated using session based API calls • No chat interface is exposed to users • Personalization happens entirely through backend logic This architecture demonstrates how to build API first AI systems in Salesforce using secure authentication and enterprise best practices. Why Headless Agents Matter in 2026 Headless agents enable: • API first AI architecture • Microservices based Salesforce integrations • Cross org communication • Backend driven personalization • Secure OAuth based automation • Scalable enterprise AI deployments They are essential for architects designing distributed Salesforce systems and developers building AI powered backend services. Who This Live Is For • Salesforce Developers • Salesforce Architects • Integration Specialists • API Developers • DevOps Engineers • Consultants designing multi org solutions Tools and Technologies Covered • Salesforce Agent API • Apex REST callouts • OAuth 2.0 client credentials flow • Connected Apps • Data Cloud • Einstein Agent capabilities • Lightning Web Components • Salesforce CLI • GitHub based deployment • Postman API testing Subscribe for more advanced Salesforce AI, Agent API, Apex integration, and enterprise architecture content. #salesforce #headlessagents #salesforceagentapi #agentapi #apexintegration #salesforceai #datacloud #lightningwebcomponents #oauth2 #connectedapp #restapi #multiorgintegration #salesforcedeveloper #apidevelopment #enterpriseintegration