LLM Text bot response control
Use this control to write a prompt description that will dynamically create an output message to the user in conversations that use large language model (LLM) topic discovery.
LLM Text bot response control properties
The Text bot response is available on the palette when you work with topics that use LLM topic discovery.
[Omitted image "va-ai-response-llm-properties.png"] Alt text: Basic properties include the node name and how you want the LLM to respond. Advanced options include Hide this node.
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Property |
Description |
|---|---|
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Node name |
Name that identifies this LLM Text bot response control node in the topic flow. |
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Tell the LLM how to respond |
What sort of message you want the LLM to send to the user. For example, |
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Advanced | |
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Hide this node | |
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Conditionally show this node if |
No-code condition statement or low-code script that specifies a condition for presenting this node in the conversation. The condition must evaluate to true. |
--- title: LLM Text bot response control description: Use this control to write a prompt description that will dynamically create an output message to the user in conversations that use large language model \(LLM\) topic discovery. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/conversational-interfaces/virtual-agent/va-ai-response.html release: australia product: Virtual Agent classification: virtual-agent topic_type: reference last_updated: "2026-10-26" reading_time_minutes: 1 breadcrumb: [Assistant Designer bot responses, Assistant Designer interface reference, Reference, Virtual Agent, Conversational Interfaces] --- # LLM Text bot response control Use this control to write a prompt description that will dynamically create an output message to the user in conversations that use large language model \(LLM\) topic discovery. ## LLM Text bot response control properties The Text bot response is available on the palette when you work with topics that use LLM topic discovery. \[Omitted image "va-ai-response-llm-properties.png"\] Alt text: Basic properties include the node name and how you want the LLM to respond. Advanced options include Hide this node. <table id="table_m2v_xmj_h1c"><thead><tr><th> Property </th><th> Description </th></tr></thead><tbody><tr><td> Node name </td><td> Name that identifies this LLM Text bot response control node in the topic flow. </td></tr><tr><td> Tell the LLM how to respond </td><td> What sort of message you want the LLM to send to the user. For example, `Greet the user in a friendly, professional manner`. You can create messages using plain text, scripts, or conditions defined with the data pill picker. </td></tr><tr><td class="sub-head" colspan="2"> Advanced </td></tr><tr><td class="sub-head" colspan="2"> Hide this node </td></tr><tr><td> Conditionally show this node if </td><td> No-code condition statement or low-code script that specifies a condition for presenting this node in the conversation. The condition must evaluate to true. </td></tr></tbody> </table>**Parent Topic:**[Assistant Designer bot responses](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/conversational-interfaces/virtual-agent/va-bot-responses.md)
| title | LLM Text bot response control |
| description | Use this control to write a prompt description that will dynamically create an output message to the user in conversations that use large language model \(LLM\) topic discovery. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/australia/conversational-interfaces/virtual-agent/va-ai-response.html |
| release | australia |
| product | Virtual Agent |
| classification | virtual-agent |
| topic_type | reference |
| last_updated | 2026-10-26 |
| reading_time_minutes | 1 |
| breadcrumb | Assistant Designer bot responsesAssistant Designer interface referenceReferenceVirtual AgentConversational Interfaces |