---
sourceDocument: Australia Conversational Interfaces
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/conversational-interfaces

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Conversational Interfaces

ft:clusterId :

    - convint

bundleId :

    - convint

workflow :

    - Platform


---

# Testing LLM topics

# Testing LLM topics {#ariaid-title1}

Release version: Australia  
Updated April 6, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read  
Preview, test, and debug topics that use large language models (LLMs) in the Assistant Designer chat window.
Note:  
An updated Assistant Designer Asset library user interface is available when you install ServiceNow Otto in Virtual Agent. This content assumes that you can see the list view. If ServiceNow Otto in Virtual Agent is not installed, you see the legacy UI and topics page. For more information, see [Virtual Agent Designer legacy topics page](https://www.servicenow.com/docs/eKqBAMdp0dJqYGORLs9Lhw "The Virtual Agent Designer legacy home page lists cards for available topics in your instance.").

## About testing LLM topics {#test-llm-topics__section_ncb_mxp_tzb}

You can test your topic's functions by running your conversation in a chat test window as you work. The web (Service Portal) chat client is the default test window.

If you're using the [Virtual Agent integrations with third-party messaging apps](https://www.servicenow.com/docs/eYn0beX_CQLOgHdD3uqHuA "Enable users to run Virtual Agent bot conversations in supported third-party messaging apps. Use the Conversational Integration apps for Slack, Microsoft Teams, and Workplace that are available from the ServiceNow Store to configure these messaging apps on your ServiceNow instance."), elements in your conversation might appear differently in third-party messaging applications. Test your
conversations in any third-party applications where you want to deploy Virtual Agent.  
Note:  
If the ServiceNow Otto panel, Microsoft Teams application, or Slack application is configured for your environment, preview options for those channels are displayed in the Test button list. Select Preview in Otto panel or Preview in Microsoft Teams in the list to test your topic in those environments.

## Starting a test {#test-llm-topics__section_bxb_b5c_tzb}

You can find LLM testing option on the Virtual Agent Designer canvas.

1. Navigate to AllConversational InterfacesAssistant Designer.
2. Select the Asset library tab.
3. Select the LLM option.
4. Select the topic that you want to test.
5. Select Test.

{#test-llm-topics__ol_ylh_4vp_v3c}

The chat test window opens in the ServiceNow Otto in Virtual Agent chat widget.

If the topic is associated with multiple LLM assistants, select the Test skill discovery check box, then open the Assistant drop-down list to select which assistant you want to test. For more information about LLM assistants, see [LLM assistants](https://www.servicenow.com/docs/QFpufmPSokBWmkJRMFJJfg "LLM assistants help with large language model (LLM) topic discovery. The ServiceNow Otto for Virtual Agent assistant is the default LLM assistant created during the Conversational Interfaces Assistants guided setup.").  
Note:  
The Test in enhanced chat option is available only from the Asset library list view. The Test button in the topic canvas adds options in a drop-down box if you configure Microsoft Teams or Slack for Virtual Agent.

Note:  
If your topic is missing any necessary information, an incomplete badge appears in the corner of the flow diagram pane. A warning badge also appears next to each node. The incomplete badge lists the total number of issues, while the local warning badges show how many issues are found in each node. If you select Test when there are issues, an Issues window opens with the number of issues present along with the details of each issue. These details include a full description and a hyperlink to each incomplete item.

## Feedback {#test-llm-topics__section_lbm_2fq_v3c}

You can provide feedback to each utterance made by the LLM by selecting from the like thumbs-up icon ![]() or dislike thumbs-down icon ![]() options. The options appear when you hover over an utterance. All LLM user inputs except the Input Collector have these feedback options.

If you run tests from the Topics page, the test window shows only the Analyze test phrases, Variables, Context (available by default, with no Include topic discovery option), and Logs tabs.

## Next steps {#test-llm-topics__section_amq_xpr_2mb}

When you're done testing your topic, close the test chat window. If necessary, use the test information to adjust your topic to perform more accurately. For example, the results on the Analysis tab may return
low scores or Unsure or Unknown confidence ratings. Improve scores by updating the topic description or instructions in the LLM user input nodes.
* **[Test details](https://www.servicenow.com/docs/ylEphHflVugi1lUct_khBw)**   
  The chat test window displays adjoining tabs that provide details about your topic as you test it.

*[\>]: and then