What is the overall architecture of Agentforce and what are its core components?

Agentforce is Salesforce's AI agent platform built natively on the Salesforce platform. Its core components are:

1. Agent Builder: The declarative UI in Setup where you define, configure, and test agents. You specify the agent's role, available Topics, and assigned Actions without writing LLM prompts directly.
2. Topics: The high-level capability domains the agent can handle (e.g., "Order Management", "Lead Qualification"). Each topic has a natural language description that the Planner uses for classification.
3. Actions: The individual tasks the agent executes within a topic — implemented as Flows, Apex @InvocableMethod, Prompt Templates, or Knowledge retrievals.
4. Planner / Orchestrator: The LLM-powered reasoning engine that interprets user intent, selects the appropriate Topic, determines which Actions to invoke, and sequences multi-step execution using the ReAct pattern.
5. Einstein Trust Layer: The security and compliance wrapper around all LLM interactions — handling data masking, zero data retention, toxicity screening, and audit logging before data leaves Salesforce.