The Chat page controls how the agent manages a text conversation: what language it replies in, how it formats responses, and a handful of quality-of-life features for the chat interface.

Navigate to Conversation β†’ Chat in the left sidebar. The settings are grouped in cards, in this order: Language & Input, Response Rendering, Canvas, Chat Controls, Response Suggestions, and Conversation History. This page follows the same order.

Changes to these settings affect token consumption and therefore the cost of running the agent. The page header includes a reminder of this.


Before you start

  • Set up the welcome message and example questions in Introduction, so you can test the whole first exchange in one go.
  • Add knowledge in Teach Your Agent. Formatting and response suggestions are easier to judge on real answers.

Example: set up Atlas's chat settings

Atlas answers questions about approval rules, so its answers should be easy to scan, employees should be able to say when an answer is wrong, and the two most common next steps should be one click away.

  1. Open Conversation β†’ Chat.

  2. In Language & Input, leave Dialog Language on Auto, so Atlas replies in the employee's language.

  3. In Response Rendering, turn on Enforce Markdown Response. Approval chains and steps then come out as bold text and lists.

  4. In Chat Controls, turn on Display Feedback Buttons, so employees can rate each answer.

  5. In Response Suggestions, set Suggested Response Type to Fixed and add two rows:

    LabelMessage
    Approval matrixShow me the full approval matrix from SOP-FIN-007.
    Start a capex requestHelp me prepare a KG-F12 capex request.
  6. In Conversation History, turn on Show Conversation History, so signed-in employees can return to earlier questions.

  7. Click Save, then check the result in the preview panel (see Check the result).

The sections below explain every setting on the page.


Language & Input

Language & Input card with Dialog Language set to Auto, Enable Dictation turned on, and an info box saying that image and document upload settings, including Document Upload Restrictions, are on the Model & Context page

Dialog Language

Sets the language the agent uses when composing responses. Select from the dropdown or type a custom value.

If you select Auto, the agent matches the language the user writes in. For example, if a user sends a message in French, the agent responds in French. This is useful for multilingual audiences where you want each user to receive answers in their own language. Atlas uses Auto, because Kirana's employees write in both English and Indonesian.

Setting a specific language (for example English or Indonesian) overrides Auto: the agent always responds in that language, whatever language the user writes in.

Enable Dictation

Lets users dictate their message by speech-to-text in the chat input, through the Dictate option in the input's + menu. When disabled, the option is hidden and users can only type.

Image and document upload settings, including Document Upload Restrictions, are not on this page. The info box at the bottom of the card links to Model & Context β†’ Attachments, because attachments work in immersive voice calls as well as in chat.


Response Rendering

These settings control the structure and visual format of the agent's responses.

Response Rendering card with Enforce Markdown Response turned on and Enable Interactive Options turned off

Enforce Markdown Response

Forces all responses to use Markdown syntax: headers, bold text, bullet lists, code blocks, and so on. Enable this when your chat interface renders Markdown and you want consistently structured answers. Atlas has it on, so an approval chain comes out as a list with the key roles in bold.

Disable this for voice interfaces or plain-text channels where Markdown symbols would appear as raw characters.

Enable Interactive Options

Lets the agent offer single-select or multi-select option widgets inside a response, so the user can pick an answer instead of typing one. Useful for guided flows where the valid answers are known in advance.


Canvas

Canvas card with Enable Charts in Response and Show Table in Presentation Panel both turned off, and a note that these apply to text chat only and that a voice call has its own canvas settings on the Voice page

Enable Charts in Response

Allows the agent to generate and display charts or data visualizations inside responses when the data warrants it. Useful for analytics or reporting assistants.

Show Table in Presentation Panel

When enabled, tables generated in a response are shown in the presentation panel (the right-side panel in presentation mode) rather than inline in the chat panel. This keeps the chat readable while detailed tabular data appears in a dedicated area.

These two settings apply to text chat only. A voice call has its own canvas settings on the Voice page, and turning these off does not turn the canvas off during a call.


Chat Controls

Chat Controls card with Enable Copy to Clipboard Button and Display Feedback Buttons turned on, and Show Chat Timestamp turned off

Enable Copy to Clipboard Button

Shows a Copy button on each agent response, so users can copy the text to their clipboard with one click.

Display Feedback Buttons

Shows thumbs-up and thumbs-down buttons below each agent response. Users can use these to provide feedback, which is recorded for review in the monitoring dashboard. For Atlas, a thumbs-down on an approval answer is a signal to check the SOP or the knowledge behind it.

Show Chat Timestamp

Shows when each message was sent. Users can hover over the time to see the full date and time. Atlas leaves it off. Turn it on when users need to refer back to when something was said, for example to quote an answer in an email.


Response Suggestions

After each agent response, the chat can display a set of follow-up prompts for the user to click. Clicking a suggestion inserts its text directly into the chat input, making it easy for users to continue the conversation without typing.

Response suggestions are different from the example messages on Introduction, which appear only before the first question.

Suggested Response Type

Controls whether suggestions appear and how they are sourced.

TypeBehavior
NoneNo suggestions are shown after any response.
FixedA set of suggestions you define in advance is shown after every response. Each suggestion has a label (the text shown on the button) and a message (the text inserted into the chat input when clicked). These are the same for every response.
DynamicAfter each response, the AI automatically generates three follow-up questions based on the conversation context and appends them as suggestion buttons. The questions change with every response.

Suggestion Response (Fixed only)

When Fixed is selected, a Suggestion Response list appears below the type selector. Use it to define the suggestions that appear after every agent response. Each row requires:

  • Label: the text displayed on the suggestion button
  • Message: the text that gets inserted into the chat input when the user clicks the button

The label and message can differ. Atlas's Approval matrix button inserts the longer request Show me the full approval matrix from SOP-FIN-007. Keep labels to two or three words, so the buttons fit on one line above the input.

Click Add New Suggestion Response to add a row, and the delete icon on a row to remove it.

Response Suggestions card with Suggested Response Type set to Fixed and two rows: Approval matrix with the message Show me the full approval matrix from SOP-FIN-007, and Start a capex request with the message Help me prepare a KG-F12 capex request, above the Add New Suggestion Response button

Fixed suggestions suit an agent like Atlas, where the same few next steps make sense after almost every answer. Choose Dynamic when the useful follow-ups depend on the question.


Conversation History

Conversation History card with Show Conversation History turned on, and the Save button at the bottom right of the page

Show Conversation History

When enabled, a My Chats panel appears in the chat sidebar. This panel lists the user's past conversations with the agent, showing a preview of the first message, the date it was started, and the total number of messages exchanged.

Users can click any conversation in the list to resume it: the full message history is reloaded and the conversation continues from where it left off.

This feature only activates for signed-in users. Even if the setting is enabled, anonymous or guest users do not see the My Chats panel and cannot resume previous conversations. If a guest later signs in, their previous anonymous session becomes associated with their account and appears in the history.

When disabled, the My Chats panel is hidden entirely and each session starts fresh. Past conversation data is still retained on the backend; it simply is not shown in the interface.


Saving Changes

Click Save at the bottom right of the page after adjusting any setting. Publish your agent to propagate the changes to end users.


Check the result

After you save, the preview panel on the right side of the page reloads. Ask a few typical questions and check that:

  • Answers are formatted the way you chose, in the language you set.
  • Thumbs-up and thumbs-down buttons appear below each answer, if you turned feedback on.
  • Response suggestions (if on) appear after each answer and make sense as follow-ups.

For Atlas, ask Who approves a USD 80,000 purchase?. The answer names the Department Head in bold, cites SOP-FIN-007, and ends with the citation links. Below it are the Copy button and the feedback buttons, and above the input are the two fixed suggestions, Approval matrix and Start a capex request. Click Approval matrix to check that its message is inserted.

Atlas chat preview: the question Who approves a USD 80,000 purchase?, Atlas's Markdown answer naming the Department Head with SOP-FIN-007 section references, two Kirana Group Finance, Project and Capex Approval Policy citation links, the Copy, thumbs-up and thumbs-down buttons, and the Approval matrix and Start a capex request suggestion chips above the Ask Atlas input

The preview runs your draft. End users see the changes only after you publish.


Next steps

  • Preview and Publish Changes: test everything you set up in Stage 1 and make it live (next step).
  • Talk by Voice: voice call display, voice persona, canvas during calls, and push-to-talk (in the CMS under Conversation β†’ Voice).
  • Model & Context: AI model selection, image and document attachments, and conversation context memory (in the CMS under Conversation β†’ Model & Context). Enable Reference and Restrict Answer, which used to live on this page, are now on Retrieval.