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How to apply Motia for multi-round conversation management in customer service system?

2025-08-28 1.5 K

A complete realization path to build an intelligent dialog system

Phased implementation using Motia's persistence context feature:

Stage 1: Basic Dialogue Framework
Create the dialogue.js step file:
export default async function({ input, context }) {
const history = context.get('dialog') || []
history.push(input.query)
return {
response: await generateReply(history),
_context: { dialog: history }
}
}

Phase 2: State Machine Integration

  • Defining state fields in flows to track dialog stages
  • Configuring the state transfer condition matrix
  • Docking NLU services for intent recognition

Advanced Tips:Combined with Workbench's time-travel debugger, the full dialog stream can be played back to precisely fix logic errors in specific nodes.

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