The Prompt action enables your agent to generate responses based on given inputs. This action processes a prompt, context, or input data and returns a response that is relevant to the context. This can be used for automating conversations, supporting decision-making, and executing tasks intelligently within workflows.
Understanding these properties is essential because they define how your agent will receive and interpret data from Zapier. Each property directly controls what the agent sees, what it responds to, and how it behaves in an automation.
The identifier for your zapier integration, found on the integration page. Example: "HVC7YxC1YBSuTtDwGK7a"
The text you want to send to the connected agent. Example: "Write a blog post with agent's knowledge"
The identifier for an existing conversation. If not provided, the system will create a new chat.
A JSON object with structured data (user IDs, preferences, feature flags) passed to [Agency Context](/additional-features/agency-context). This data is accessible within your agent's tools but is **not** exposed to the LLM.
The identifier of the zapier integration used. Example: "HVC7YxC1YBSuTtDwGK7a"
The text response generated by your agent.
The conversation identifier - either newly created or the one you provided.