聊天

Chat nodes for modeling conversational experiences in Maestro Flow, covering routing control, conversational AI turns, and deterministic messages.

The Chat nodes build a conversational Flow. Once deployed, it reaches end-users through every chat channel supported for conversational agents — iFrame embeds, Assistant, Microsoft Teams, Slack, and custom surfaces built with the UiPath TypeScript SDK. Monitor its performance, metrics, and user feedback through chat agent observability.

可用节点

节点	操作
Conversation Trigger	Marks the Flow as conversational and starts it when a user initiates a chat on any channel.
等待消息	Suspends until the user sends a message, then outputs the latest conversation context (chat history) for downstream nodes to consume.
对话式智能体	Runs a single chat agent turn. Streams its responses and takes actions through tool-calls.
发送消息	Writes an arbitrary message to the conversation. Use for fixed replies, routing messages, and emitting data from other nodes to the chat.
Get Conversation Context	Reads the current conversation history and metadata without suspending the Flow. Generally not needed, but can be used when a downstream node needs to inspect latest chat messages without waiting for new input.

Capability examples

Combine the conversational nodes with the rest of Flow's palette to unlock a variety of capabilities, such as:

• Deterministic branching — route to different node paths based on message content or agent output.
• Agent hand-off — pass the conversation between multiple conversational agents, each with its own prompt and tools.
• Parallel branches — launch any other Flow branches in parallel - such as human approval tasks - while the conversation continues seamlessly to the user.
• Chat termination — end the conversation when a goal is reached.
• Zero-agent conversations — build a fully deterministic chat experience with no LLM turns at all.

End-to-end walkthrough

Visit build a chat agent workflow for a step-by-step example that combines the chat nodes into an agent-handoff routing pattern.

相关内容

• Chat conversational agents — surface overview in the Agents user guide.
• Chat deployment — publish to Orchestrator and expose through Instance Management, Assistant, Teams, Slack, iFrame, or the TypeScript SDK.