/* Sesi Complex Data Pipeline
Native structured outputs, tool calling, and memory.*/

fn escalateTicket(customerId: string, reason: string) {
  show "ESCALATION: Customer" customerId "for" reason
  return "Escalation logged."
}
memory processingLog {"Pipeline Start:"}
let rawFeedback = ["My account was charged twice for the pro plan! Fix this now!", "The new dashboard is really clean, great job team.", "I can't figure out how to export my data to CSV, it just spins."]
for feedback in rawFeedback 
{processingLog = processingLog + "Processing:" + feedback

// 1. Structured Data Extraction (Native syntax)
let analysis = structured_output({sentiment: string, category: string, isUrgent: bool, summary: string})
(model("gemini-3.1-flash-lite") {"Analyze the customer feedback. Category should be Billing, UI, or Technical. Feedback: " feedback})
show "Result for:" analysis["summary"]
  
// 2. Conditional Tool Calling (Native syntax)
if analysis["isUrgent"] 
{let resolution = tool_call(escalateTicket)(model("gemini-3.1-flash-lite") {"Call escalateTicket for customer '1234' with an exact reason based on: " feedback})
processingLog = processingLog + "Urgent action taken: " + resolution} else {processingLog = processingLog + "Logged routinely."}}
show "--- Final Processing Log ---"
show processingLog