sf-agentforce-development

Building an Agentforce agent involves defining Agent Script patterns, topics, and deterministic actions. You generate, validate, publish, and activate agent metadata using CLI workflows and YAML-based test specs.

Agent Script patterns provide metadata modeling for topics, actions, and GenAi components. You need them to enable robust agent behavior and scalable deployments when creating custom Agentforce service agents.

You test Agentforce agents by authoring YAML-based test specs within your testing workflows. This enforces deterministic action patterns and validates agent behavior before you publish metadata to an org.

Yes, you can develop Apex InvocableMethod actions for Agentforce agents. The workflow integrates custom Apex actions into agent script metadata, enforcing deterministic action patterns across orgs.

The best way to deploy Agentforce metadata across orgs is using CLI workflows. This enforces deterministic action patterns and manages the generate, validate, publish, and activate lifecycle for agent metadata.

YAML-based test specs enforce deterministic action patterns for validating agents. A limitation is that non-deterministic or highly dynamic reasoning behaviors may not be fully validated within these strict testing workflows.