Agent Script Decoded: Intro to Agent Script Language Fundamentals
Summary
Salesforce’s Agent Script language solves a key challenge in building enterprise agents by combining deterministic code with natural language prompts. It enables predictable execution of business-critical logic while maintaining conversational flexibility using a hybrid reasoning approach. Agent Script lets you programmatically manage prompt context, variables, conditions, and conversation flow to create reliable agents that interact with customers efficiently. You can define agent configuration, state variables, actions, reasoning logic, and topic transitions in a structured way. After mastering Agent Script fundamentals, Salesforce teams can build robust, enterprise-ready conversational agents that integrate with Flows, Apex, and more.
Takeaways
- Use Agent Script’s hybrid reasoning to mix deterministic logic with flexible LLM prompts.
- Define stateful mutable and linked variables to manage conversation context reliably.
- Invoke actions deterministically with run or let the LLM decide via reasoning.actions tools.
- Use template expressions {! } to inject dynamic values into prompts for clarity.
- Control topic flow with start_agent entry point and transitions with @utils.transition or bare transition to.
Building enterprise-grade agents often involves a fundamental tension. Large Language Models (LLMs) are great at natural conversation, but they lack the predictability that enterprise workflows demand. You can prompt an LLM to verify a customer before sharing order details, but you can’t guarantee it will follow that sequence every time. Traditional prompt engineering doesn’t solve this. As you write longer prompts and add more instructions, the agent’s behavior can become less predictable. Agent Script is Salesforce’s new language for building agents. It introduces hybrid reasoning , the ability to mix deterministic code with natural language prompts in the same instruction block. With Agent Script, business-critical logic executes reliably every time. Conversational elements stay flexible. It’s also a context engineering tool.