- Einleitung
- Erste Schritte
- Erstellen mit Maestro BPMN
- Grundlegendes zur BPMN-Modellierung von Maestro
- Öffnen der Modellierungsarbeitsfläche
- Modellierung Ihres Prozesses
- Ausrichten und Verbinden von BPMN-Elementen
- Autopilot for Maestro (Vorschau)
- Prozess-Repository
- Einen einfachen BPMN-Prozess implementieren
- Einen komplexen BPMN-Prozess implementieren
- Debugging
- Simulieren
- Häufige Implementierungsszenarien
- Erstellen mit Maestro Case
- Einführung in Maestro Case
- Maestro BPMN vs. Maestro Case: Wann wird Case Management verwendet?
- Der Lebenszyklus von Maestro Case: Vom Ereignis-Trigger zum App-Erlebnis
- Erstellen Sie Ihren ersten Fall mit Maestro Case
- Build a Maestro Case with a coding agent (preview)
- Definieren von Fallschlüsseln (System vs. extern)
- Erstellen von Task-E/A- und Write-Back-Verträgen
- Austrittsregeln und Beendigung der frühen Phase
- Modellieren von primären und sekundären Phasen
- Auslösen eines Falls aus Data Fabric
- Implementieren von Personas und Berechtigungen auf Phasenebene
- Festlegen von SLAs und automatisierten Eskalationsregeln
- Konfigurieren einer Nacharbeitsschleife (Wiedereintritt)
- Configuring and testing the Case Manager Agent (preview)
- Eingabe- und Ausgabevertrag für den Fall Manager
- Wörterbuch für die Komponente „Maestro Case“.
- Erstellen mit Maestro Flow
- Connector-Knoten
- Integrationen
- Betrieb
- Überwachung
- Optimieren
- Referenzinformationen
Wait for Message suspends until the user sends a message, then outputs the latest conversation context for downstream conversational nodes to consume.
Was es tut
Waits until the user sends the next message on the conversation, then resumes with the latest conversation context — the chat history and user profile information — as its output.
Always place a Wait for Message node immediately after the conversation trigger to ensure the Flow is ready for the user's first message. You can loop back to it for follow-up turns, or add more Wait for Message nodes elsewhere in the Flow.
Eingaben
| Feld | Beschreibung |
|---|---|
| Konversations-ID | The ID of the conversation to wait on. Bind to the conversation trigger's output, for example $vars.conversationTrigger1.output.conversationId. |
| Exchange limit | Maximum number of past exchanges (back-and-forth turns) to include in the returned conversation history. Determines how many past messages in the conversation history are returned. |
Ausgabe
| Feld | Beschreibung |
|---|---|
conversationContext | The latest conversation context, including the message history. |
The conversationContext contains the following fields:
| Feld | Beschreibung |
|---|---|
latestExchangeId | Identifier of the most recent exchange (back-and-forth turn). Use as the Exchange ID input to Send Message when replying to the conversation. |
messages | The recent conversation history, including both the user's and Flow's messages. Exchange limit determines how many past exchanges to include. |
userSettings | User-level profile fields, configurable by the end-user on the channels. |
Anwendungsbeispiele
Reference the full conversation context in a downstream Conversational Agent node:
$vars.waitForMessage1.output.conversationContext
$vars.waitForMessage1.output.conversationContext
Reference the outputted latestExchangeId in a downstream Send Message node:
$vars.waitForMessage1.output.conversationContext.latestExchangeId
$vars.waitForMessage1.output.conversationContext.latestExchangeId
Handling multiple Wait for Message nodes
When you have multiple Wait for Message nodes, you might accidentally configure a downstream node to reference a stale conversation context from a Wait for Message node that executed earlier.
For easier tracking, create a Flow-level variable (for example, $vars.globalConversationContext), and update it from each Wait for Message node's Update Variable section. Downstream nodes can then reference that single source of truth instead of needing to pick the last-executed Wait for Message node's output.
Zugehörige Seiten
- Conversation Trigger — provides the Conversation ID this node consumes.
- Conversational Agent — the typical consumer of this node's
conversationContextoutput. - Send Message — write into the conversation, using
latestExchangeIdfrom this node to continue the same exchange. - Chat — full palette of chat conversational nodes.
- Build a chat agent workflow — end-to-end walkthrough.
- Chat deployment — publish and expose the Flow through various channels.