Agent Script Explained! Learn How to Build Predictable Agentforce Agents with Pro-Code
Summary
Agent Script is Salesforce's pro-code language for building Agentforce agents with deterministic control, combining logic programming and the conversational power of large language models. It enables precise handling of variables, actions, conditional logic, and subagent transitions to build predictable, context-aware conversational workflows. Developers can write Agent Script using three interfaces including VS Code with Agentforce DX support for rich editing. This approach solves the unpredictability of LLM-only agents by mixing deterministic instructions with LLM-driven reasoning, making complex agent behaviors more reliable in Salesforce implementations.
Takeaways
- Use Agent Script to combine deterministic logic with LLM prompting for predictable agents.
- Define and use mutable, linked, and system variables to maintain agent state.
- Leverage reasoning instructions with logic and prompt parts separated by the pipe | character.
- Distinguish between topic.actions for deterministic execution and topic.reasoning.actions for LLM-driven tools.
- Control subagent transitions deterministically or let LLM decide based on context.
Stop relying solely on LLM interpretation. Agent Script gives you deterministic control over your Agentforce agents — pro-code style. ▶ Watch on YouTube Agent Script Explained — Build Predictable Agentforce Agents with Pro-Code | SF Bolt Agentforce agents are powerful — but left entirely to an LLM, their behaviour can be unpredictable. Agent Script is Salesforce's pro-code language for building agents in Agentforce Builder. It gives you programmatic control over when actions run, how variables are stored, when subagents are invoked, and how the agent reasons — without losing the conversational power of the LLM. What Is Agent Script? According to the official Agentforce Developer Guide , Agent Script is the language for building agents in Agentforce Builder. Script combines the flexibility of natural language instructions for handling conversational tasks with the reliability of programmatic expressions for handling business rules.