diff --git a/py/examples/chatbot_events_suggestions.py b/py/examples/chatbot_events_suggestions.py
new file mode 100644
index 0000000000..12d2891eb5
--- /dev/null
+++ b/py/examples/chatbot_events_suggestions.py
@@ -0,0 +1,62 @@
+# Chatbot / Events/ Suggestions
+# Use suggestions to simplify user interaction.
+# #chatbot #events #suggestions
+# ---
+from h2o_wave import main, app, Q, ui, data
+
+# Dictionary containing label, caption and icon for each suggestion.
+suggestions = {
+    'sug1': ["Write a poem", "about H2O Wave", "Edit"],
+    'sug2': ["Plan a trip", "to Europe", "Airplane"],
+    'sug3': ["Give me ideas", "for a new project", "Lightbulb"],
+    'sug4': ["Explain me", "CSS preprocessors", "Code"]
+}
+
+
+async def stream_bot_response(q: Q, message: str):
+    stream = ''
+    # Fake bot "thinking" time.
+    await q.sleep(0.5)
+    # Stream bot response.
+    for w in 'I am a fake chatbot. Sorry, I cannot help you.'.split():
+        await q.sleep(0.1)
+        stream += w + ' '
+        q.page['example'].data[-1] = [stream, False]
+        await q.page.save()
+
+
+@app('/demo')
+async def serve(q: Q):
+    if not q.client.initialized:
+        q.page['example'] = ui.chatbot_card(
+            box='1 1 5 5',
+            data=data(fields='content from_user', t='list'),
+            name='chatbot',
+            placeholder='Ask me anything...',
+            events=['suggestion'],
+            suggestions=[ui.chat_suggestion(name, label=value[0], caption=value[1], icon=value[2]) for
+                                name, value in suggestions.items()]
+        )
+        q.client.initialized = True
+
+    elif q.events.chatbot or q.args.chatbot:
+        # Clear suggestions.
+        q.page['example'].suggestions = []
+
+        # Handle user input.
+        if q.args.chatbot:
+            # Append user message typed manually.
+            q.page['example'].data += [q.args.chatbot, True]
+        else:
+            label, caption, icon = suggestions[q.events.chatbot.suggestion]
+            # Append user message based on the suggestion event.
+            q.page['example'].data += [label + ' ' + caption, True]
+
+        # Append bot response.
+        q.page['example'].data += ['', False]
+        # Update UI.
+        await q.page.save()
+        # Stream bot response.
+        await stream_bot_response(q, 'I am a fake chatbot. Sorry, I cannot help you.')
+
+    await q.page.save()
diff --git a/py/examples/tour.conf b/py/examples/tour.conf
index a0bfc3992b..557b090506 100644
--- a/py/examples/tour.conf
+++ b/py/examples/tour.conf
@@ -36,6 +36,7 @@ chatbot_stream.py
 chatbot_events_stop.py
 chatbot_events_scroll.py
 chatbot_events_feedback.py
+chatbot_events_suggestions.py
 form.py
 form_visibility.py
 text.py
diff --git a/py/h2o_lightwave/h2o_lightwave/types.py b/py/h2o_lightwave/h2o_lightwave/types.py
index 8887cc6b1e..7638d27402 100644
--- a/py/h2o_lightwave/h2o_lightwave/types.py
+++ b/py/h2o_lightwave/h2o_lightwave/types.py
@@ -8245,6 +8245,65 @@ def load(__d: Dict) -> 'ChatCard':
         )
 
 
+class ChatSuggestion:
+    """Create a chat prompt suggestion displayed as button below the last response in the chatbot component.
+    """
+    def __init__(
+            self,
+            name: str,
+            label: str,
+            caption: Optional[str] = None,
+            icon: Optional[str] = None,
+    ):
+        _guard_scalar('ChatSuggestion.name', name, (str,), True, False, False)
+        _guard_scalar('ChatSuggestion.label', label, (str,), False, False, False)
+        _guard_scalar('ChatSuggestion.caption', caption, (str,), False, True, False)
+        _guard_scalar('ChatSuggestion.icon', icon, (str,), False, True, False)
+        self.name = name
+        """An identifying name for this component."""
+        self.label = label
+        """The text displayed for this suggestion."""
+        self.caption = caption
+        """The caption displayed below the label."""
+        self.icon = icon
+        """The icon to be displayed for this suggestion."""
+
+    def dump(self) -> Dict:
+        """Returns the contents of this object as a dict."""
+        _guard_scalar('ChatSuggestion.name', self.name, (str,), True, False, False)
+        _guard_scalar('ChatSuggestion.label', self.label, (str,), False, False, False)
+        _guard_scalar('ChatSuggestion.caption', self.caption, (str,), False, True, False)
+        _guard_scalar('ChatSuggestion.icon', self.icon, (str,), False, True, False)
+        return _dump(
+            name=self.name,
+            label=self.label,
+            caption=self.caption,
+            icon=self.icon,
+        )
+
+    @staticmethod
+    def load(__d: Dict) -> 'ChatSuggestion':
+        """Creates an instance of this class using the contents of a dict."""
+        __d_name: Any = __d.get('name')
+        _guard_scalar('ChatSuggestion.name', __d_name, (str,), True, False, False)
+        __d_label: Any = __d.get('label')
+        _guard_scalar('ChatSuggestion.label', __d_label, (str,), False, False, False)
+        __d_caption: Any = __d.get('caption')
+        _guard_scalar('ChatSuggestion.caption', __d_caption, (str,), False, True, False)
+        __d_icon: Any = __d.get('icon')
+        _guard_scalar('ChatSuggestion.icon', __d_icon, (str,), False, True, False)
+        name: str = __d_name
+        label: str = __d_label
+        caption: Optional[str] = __d_caption
+        icon: Optional[str] = __d_icon
+        return ChatSuggestion(
+            name,
+            label,
+            caption,
+            icon,
+        )
+
+
 class ChatbotCard:
     """Create a chatbot card to allow getting prompts from users and providing them with LLM generated answers.
     """
@@ -8256,6 +8315,8 @@ def __init__(
             placeholder: Optional[str] = None,
             events: Optional[List[str]] = None,
             generating: Optional[bool] = None,
+            suggestions: Optional[List[ChatSuggestion]] = None,
+            disabled: Optional[bool] = None,
             commands: Optional[List[Command]] = None,
     ):
         _guard_scalar('ChatbotCard.box', box, (str,), False, False, False)
@@ -8263,6 +8324,8 @@ def __init__(
         _guard_scalar('ChatbotCard.placeholder', placeholder, (str,), False, True, False)
         _guard_vector('ChatbotCard.events', events, (str,), False, True, False)
         _guard_scalar('ChatbotCard.generating', generating, (bool,), False, True, False)
+        _guard_vector('ChatbotCard.suggestions', suggestions, (ChatSuggestion,), False, True, False)
+        _guard_scalar('ChatbotCard.disabled', disabled, (bool,), False, True, False)
         _guard_vector('ChatbotCard.commands', commands, (Command,), False, True, False)
         self.box = box
         """A string indicating how to place this component on the page."""
@@ -8273,9 +8336,13 @@ def __init__(
         self.placeholder = placeholder
         """Chat input box placeholder. Use for prompt examples."""
         self.events = events
-        """The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback'."""
+        """The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback' | 'suggestion'."""
         self.generating = generating
         """True to show a button to stop the text generation. Defaults to False."""
+        self.suggestions = suggestions
+        """Clickable prompt suggestions shown below the last response."""
+        self.disabled = disabled
+        """True if the user input should be disabled."""
         self.commands = commands
         """Contextual menu commands for this component."""
 
@@ -8286,6 +8353,8 @@ def dump(self) -> Dict:
         _guard_scalar('ChatbotCard.placeholder', self.placeholder, (str,), False, True, False)
         _guard_vector('ChatbotCard.events', self.events, (str,), False, True, False)
         _guard_scalar('ChatbotCard.generating', self.generating, (bool,), False, True, False)
+        _guard_vector('ChatbotCard.suggestions', self.suggestions, (ChatSuggestion,), False, True, False)
+        _guard_scalar('ChatbotCard.disabled', self.disabled, (bool,), False, True, False)
         _guard_vector('ChatbotCard.commands', self.commands, (Command,), False, True, False)
         return _dump(
             view='chatbot',
@@ -8295,6 +8364,8 @@ def dump(self) -> Dict:
             placeholder=self.placeholder,
             events=self.events,
             generating=self.generating,
+            suggestions=None if self.suggestions is None else [__e.dump() for __e in self.suggestions],
+            disabled=self.disabled,
             commands=None if self.commands is None else [__e.dump() for __e in self.commands],
         )
 
@@ -8312,6 +8383,10 @@ def load(__d: Dict) -> 'ChatbotCard':
         _guard_vector('ChatbotCard.events', __d_events, (str,), False, True, False)
         __d_generating: Any = __d.get('generating')
         _guard_scalar('ChatbotCard.generating', __d_generating, (bool,), False, True, False)
+        __d_suggestions: Any = __d.get('suggestions')
+        _guard_vector('ChatbotCard.suggestions', __d_suggestions, (dict,), False, True, False)
+        __d_disabled: Any = __d.get('disabled')
+        _guard_scalar('ChatbotCard.disabled', __d_disabled, (bool,), False, True, False)
         __d_commands: Any = __d.get('commands')
         _guard_vector('ChatbotCard.commands', __d_commands, (dict,), False, True, False)
         box: str = __d_box
@@ -8320,6 +8395,8 @@ def load(__d: Dict) -> 'ChatbotCard':
         placeholder: Optional[str] = __d_placeholder
         events: Optional[List[str]] = __d_events
         generating: Optional[bool] = __d_generating
+        suggestions: Optional[List[ChatSuggestion]] = None if __d_suggestions is None else [ChatSuggestion.load(__e) for __e in __d_suggestions]
+        disabled: Optional[bool] = __d_disabled
         commands: Optional[List[Command]] = None if __d_commands is None else [Command.load(__e) for __e in __d_commands]
         return ChatbotCard(
             box,
@@ -8328,6 +8405,8 @@ def load(__d: Dict) -> 'ChatbotCard':
             placeholder,
             events,
             generating,
+            suggestions,
+            disabled,
             commands,
         )
 
diff --git a/py/h2o_lightwave/h2o_lightwave/ui.py b/py/h2o_lightwave/h2o_lightwave/ui.py
index 9967255f1d..3e0d8fa422 100644
--- a/py/h2o_lightwave/h2o_lightwave/ui.py
+++ b/py/h2o_lightwave/h2o_lightwave/ui.py
@@ -2878,6 +2878,30 @@ def chat_card(
     )
 
 
+def chat_suggestion(
+        name: str,
+        label: str,
+        caption: Optional[str] = None,
+        icon: Optional[str] = None,
+) -> ChatSuggestion:
+    """Create a chat prompt suggestion displayed as button below the last response in the chatbot component.
+
+    Args:
+        name: An identifying name for this component.
+        label: The text displayed for this suggestion.
+        caption: The caption displayed below the label.
+        icon: The icon to be displayed for this suggestion.
+    Returns:
+        A `h2o_wave.types.ChatSuggestion` instance.
+    """
+    return ChatSuggestion(
+        name,
+        label,
+        caption,
+        icon,
+    )
+
+
 def chatbot_card(
         box: str,
         name: str,
@@ -2885,6 +2909,8 @@ def chatbot_card(
         placeholder: Optional[str] = None,
         events: Optional[List[str]] = None,
         generating: Optional[bool] = None,
+        suggestions: Optional[List[ChatSuggestion]] = None,
+        disabled: Optional[bool] = None,
         commands: Optional[List[Command]] = None,
 ) -> ChatbotCard:
     """Create a chatbot card to allow getting prompts from users and providing them with LLM generated answers.
@@ -2894,8 +2920,10 @@ def chatbot_card(
         name: An identifying name for this component.
         data: Chat messages data. Requires cyclic buffer.
         placeholder: Chat input box placeholder. Use for prompt examples.
-        events: The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback'.
+        events: The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback' | 'suggestion'.
         generating: True to show a button to stop the text generation. Defaults to False.
+        suggestions: Clickable prompt suggestions shown below the last response.
+        disabled: True if the user input should be disabled.
         commands: Contextual menu commands for this component.
     Returns:
         A `h2o_wave.types.ChatbotCard` instance.
@@ -2907,6 +2935,8 @@ def chatbot_card(
         placeholder,
         events,
         generating,
+        suggestions,
+        disabled,
         commands,
     )
 
diff --git a/py/h2o_wave/h2o_wave/types.py b/py/h2o_wave/h2o_wave/types.py
index 8887cc6b1e..7638d27402 100644
--- a/py/h2o_wave/h2o_wave/types.py
+++ b/py/h2o_wave/h2o_wave/types.py
@@ -8245,6 +8245,65 @@ def load(__d: Dict) -> 'ChatCard':
         )
 
 
+class ChatSuggestion:
+    """Create a chat prompt suggestion displayed as button below the last response in the chatbot component.
+    """
+    def __init__(
+            self,
+            name: str,
+            label: str,
+            caption: Optional[str] = None,
+            icon: Optional[str] = None,
+    ):
+        _guard_scalar('ChatSuggestion.name', name, (str,), True, False, False)
+        _guard_scalar('ChatSuggestion.label', label, (str,), False, False, False)
+        _guard_scalar('ChatSuggestion.caption', caption, (str,), False, True, False)
+        _guard_scalar('ChatSuggestion.icon', icon, (str,), False, True, False)
+        self.name = name
+        """An identifying name for this component."""
+        self.label = label
+        """The text displayed for this suggestion."""
+        self.caption = caption
+        """The caption displayed below the label."""
+        self.icon = icon
+        """The icon to be displayed for this suggestion."""
+
+    def dump(self) -> Dict:
+        """Returns the contents of this object as a dict."""
+        _guard_scalar('ChatSuggestion.name', self.name, (str,), True, False, False)
+        _guard_scalar('ChatSuggestion.label', self.label, (str,), False, False, False)
+        _guard_scalar('ChatSuggestion.caption', self.caption, (str,), False, True, False)
+        _guard_scalar('ChatSuggestion.icon', self.icon, (str,), False, True, False)
+        return _dump(
+            name=self.name,
+            label=self.label,
+            caption=self.caption,
+            icon=self.icon,
+        )
+
+    @staticmethod
+    def load(__d: Dict) -> 'ChatSuggestion':
+        """Creates an instance of this class using the contents of a dict."""
+        __d_name: Any = __d.get('name')
+        _guard_scalar('ChatSuggestion.name', __d_name, (str,), True, False, False)
+        __d_label: Any = __d.get('label')
+        _guard_scalar('ChatSuggestion.label', __d_label, (str,), False, False, False)
+        __d_caption: Any = __d.get('caption')
+        _guard_scalar('ChatSuggestion.caption', __d_caption, (str,), False, True, False)
+        __d_icon: Any = __d.get('icon')
+        _guard_scalar('ChatSuggestion.icon', __d_icon, (str,), False, True, False)
+        name: str = __d_name
+        label: str = __d_label
+        caption: Optional[str] = __d_caption
+        icon: Optional[str] = __d_icon
+        return ChatSuggestion(
+            name,
+            label,
+            caption,
+            icon,
+        )
+
+
 class ChatbotCard:
     """Create a chatbot card to allow getting prompts from users and providing them with LLM generated answers.
     """
@@ -8256,6 +8315,8 @@ def __init__(
             placeholder: Optional[str] = None,
             events: Optional[List[str]] = None,
             generating: Optional[bool] = None,
+            suggestions: Optional[List[ChatSuggestion]] = None,
+            disabled: Optional[bool] = None,
             commands: Optional[List[Command]] = None,
     ):
         _guard_scalar('ChatbotCard.box', box, (str,), False, False, False)
@@ -8263,6 +8324,8 @@ def __init__(
         _guard_scalar('ChatbotCard.placeholder', placeholder, (str,), False, True, False)
         _guard_vector('ChatbotCard.events', events, (str,), False, True, False)
         _guard_scalar('ChatbotCard.generating', generating, (bool,), False, True, False)
+        _guard_vector('ChatbotCard.suggestions', suggestions, (ChatSuggestion,), False, True, False)
+        _guard_scalar('ChatbotCard.disabled', disabled, (bool,), False, True, False)
         _guard_vector('ChatbotCard.commands', commands, (Command,), False, True, False)
         self.box = box
         """A string indicating how to place this component on the page."""
@@ -8273,9 +8336,13 @@ def __init__(
         self.placeholder = placeholder
         """Chat input box placeholder. Use for prompt examples."""
         self.events = events
-        """The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback'."""
+        """The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback' | 'suggestion'."""
         self.generating = generating
         """True to show a button to stop the text generation. Defaults to False."""
+        self.suggestions = suggestions
+        """Clickable prompt suggestions shown below the last response."""
+        self.disabled = disabled
+        """True if the user input should be disabled."""
         self.commands = commands
         """Contextual menu commands for this component."""
 
@@ -8286,6 +8353,8 @@ def dump(self) -> Dict:
         _guard_scalar('ChatbotCard.placeholder', self.placeholder, (str,), False, True, False)
         _guard_vector('ChatbotCard.events', self.events, (str,), False, True, False)
         _guard_scalar('ChatbotCard.generating', self.generating, (bool,), False, True, False)
+        _guard_vector('ChatbotCard.suggestions', self.suggestions, (ChatSuggestion,), False, True, False)
+        _guard_scalar('ChatbotCard.disabled', self.disabled, (bool,), False, True, False)
         _guard_vector('ChatbotCard.commands', self.commands, (Command,), False, True, False)
         return _dump(
             view='chatbot',
@@ -8295,6 +8364,8 @@ def dump(self) -> Dict:
             placeholder=self.placeholder,
             events=self.events,
             generating=self.generating,
+            suggestions=None if self.suggestions is None else [__e.dump() for __e in self.suggestions],
+            disabled=self.disabled,
             commands=None if self.commands is None else [__e.dump() for __e in self.commands],
         )
 
@@ -8312,6 +8383,10 @@ def load(__d: Dict) -> 'ChatbotCard':
         _guard_vector('ChatbotCard.events', __d_events, (str,), False, True, False)
         __d_generating: Any = __d.get('generating')
         _guard_scalar('ChatbotCard.generating', __d_generating, (bool,), False, True, False)
+        __d_suggestions: Any = __d.get('suggestions')
+        _guard_vector('ChatbotCard.suggestions', __d_suggestions, (dict,), False, True, False)
+        __d_disabled: Any = __d.get('disabled')
+        _guard_scalar('ChatbotCard.disabled', __d_disabled, (bool,), False, True, False)
         __d_commands: Any = __d.get('commands')
         _guard_vector('ChatbotCard.commands', __d_commands, (dict,), False, True, False)
         box: str = __d_box
@@ -8320,6 +8395,8 @@ def load(__d: Dict) -> 'ChatbotCard':
         placeholder: Optional[str] = __d_placeholder
         events: Optional[List[str]] = __d_events
         generating: Optional[bool] = __d_generating
+        suggestions: Optional[List[ChatSuggestion]] = None if __d_suggestions is None else [ChatSuggestion.load(__e) for __e in __d_suggestions]
+        disabled: Optional[bool] = __d_disabled
         commands: Optional[List[Command]] = None if __d_commands is None else [Command.load(__e) for __e in __d_commands]
         return ChatbotCard(
             box,
@@ -8328,6 +8405,8 @@ def load(__d: Dict) -> 'ChatbotCard':
             placeholder,
             events,
             generating,
+            suggestions,
+            disabled,
             commands,
         )
 
diff --git a/py/h2o_wave/h2o_wave/ui.py b/py/h2o_wave/h2o_wave/ui.py
index 9967255f1d..3e0d8fa422 100644
--- a/py/h2o_wave/h2o_wave/ui.py
+++ b/py/h2o_wave/h2o_wave/ui.py
@@ -2878,6 +2878,30 @@ def chat_card(
     )
 
 
+def chat_suggestion(
+        name: str,
+        label: str,
+        caption: Optional[str] = None,
+        icon: Optional[str] = None,
+) -> ChatSuggestion:
+    """Create a chat prompt suggestion displayed as button below the last response in the chatbot component.
+
+    Args:
+        name: An identifying name for this component.
+        label: The text displayed for this suggestion.
+        caption: The caption displayed below the label.
+        icon: The icon to be displayed for this suggestion.
+    Returns:
+        A `h2o_wave.types.ChatSuggestion` instance.
+    """
+    return ChatSuggestion(
+        name,
+        label,
+        caption,
+        icon,
+    )
+
+
 def chatbot_card(
         box: str,
         name: str,
@@ -2885,6 +2909,8 @@ def chatbot_card(
         placeholder: Optional[str] = None,
         events: Optional[List[str]] = None,
         generating: Optional[bool] = None,
+        suggestions: Optional[List[ChatSuggestion]] = None,
+        disabled: Optional[bool] = None,
         commands: Optional[List[Command]] = None,
 ) -> ChatbotCard:
     """Create a chatbot card to allow getting prompts from users and providing them with LLM generated answers.
@@ -2894,8 +2920,10 @@ def chatbot_card(
         name: An identifying name for this component.
         data: Chat messages data. Requires cyclic buffer.
         placeholder: Chat input box placeholder. Use for prompt examples.
-        events: The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback'.
+        events: The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback' | 'suggestion'.
         generating: True to show a button to stop the text generation. Defaults to False.
+        suggestions: Clickable prompt suggestions shown below the last response.
+        disabled: True if the user input should be disabled.
         commands: Contextual menu commands for this component.
     Returns:
         A `h2o_wave.types.ChatbotCard` instance.
@@ -2907,6 +2935,8 @@ def chatbot_card(
         placeholder,
         events,
         generating,
+        suggestions,
+        disabled,
         commands,
     )
 
diff --git a/r/R/ui.R b/r/R/ui.R
index 4f603b4053..ceed561880 100644
--- a/r/R/ui.R
+++ b/r/R/ui.R
@@ -3339,14 +3339,42 @@ ui_chat_card <- function(
   return(.o)
 }
 
+#' Create a chat prompt suggestion displayed as button below the last response in the chatbot component.
+#'
+#' @param name An identifying name for this component.
+#' @param label The text displayed for this suggestion.
+#' @param caption The caption displayed below the label.
+#' @param icon The icon to be displayed for this suggestion.
+#' @return A ChatSuggestion instance.
+#' @export
+ui_chat_suggestion <- function(
+  name,
+  label,
+  caption = NULL,
+  icon = NULL) {
+  .guard_scalar("name", "character", name)
+  .guard_scalar("label", "character", label)
+  .guard_scalar("caption", "character", caption)
+  .guard_scalar("icon", "character", icon)
+  .o <- list(
+    name=name,
+    label=label,
+    caption=caption,
+    icon=icon)
+  class(.o) <- append(class(.o), c(.wave_obj, "WaveChatSuggestion"))
+  return(.o)
+}
+
 #' Create a chatbot card to allow getting prompts from users and providing them with LLM generated answers.
 #'
 #' @param box A string indicating how to place this component on the page.
 #' @param name An identifying name for this component.
 #' @param data Chat messages data. Requires cyclic buffer.
 #' @param placeholder Chat input box placeholder. Use for prompt examples.
-#' @param events The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback'.
+#' @param events The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback' | 'suggestion'.
 #' @param generating True to show a button to stop the text generation. Defaults to False.
+#' @param suggestions Clickable prompt suggestions shown below the last response.
+#' @param disabled True if the user input should be disabled.
 #' @param commands Contextual menu commands for this component.
 #' @return A ChatbotCard instance.
 #' @export
@@ -3357,6 +3385,8 @@ ui_chatbot_card <- function(
   placeholder = NULL,
   events = NULL,
   generating = NULL,
+  suggestions = NULL,
+  disabled = NULL,
   commands = NULL) {
   .guard_scalar("box", "character", box)
   .guard_scalar("name", "character", name)
@@ -3364,6 +3394,8 @@ ui_chatbot_card <- function(
   .guard_scalar("placeholder", "character", placeholder)
   .guard_vector("events", "character", events)
   .guard_scalar("generating", "logical", generating)
+  .guard_vector("suggestions", "WaveChatSuggestion", suggestions)
+  .guard_scalar("disabled", "logical", disabled)
   .guard_vector("commands", "WaveCommand", commands)
   .o <- list(
     box=box,
@@ -3372,6 +3404,8 @@ ui_chatbot_card <- function(
     placeholder=placeholder,
     events=events,
     generating=generating,
+    suggestions=suggestions,
+    disabled=disabled,
     commands=commands,
     view='chatbot')
   class(.o) <- append(class(.o), c(.wave_obj, "WaveChatbotCard"))
diff --git a/tools/intellij-plugin/src/main/resources/templates/wave-components.xml b/tools/intellij-plugin/src/main/resources/templates/wave-components.xml
index ae064bd8ab..732d93a6f2 100644
--- a/tools/intellij-plugin/src/main/resources/templates/wave-components.xml
+++ b/tools/intellij-plugin/src/main/resources/templates/wave-components.xml
@@ -95,6 +95,13 @@
       <option name="Python" value="true"/>
     </context>
   </template>
+  <template name="w_chat_suggestion" value="ui.chat_suggestion(name='$name$',label='$label$'),$END$" description="Create a minimal Wave ChatSuggestion." toReformat="true" toShortenFQNames="true">
+    <variable name="name" expression="" defaultValue="" alwaysStopAt="true"/>
+    <variable name="label" expression="" defaultValue="" alwaysStopAt="true"/>
+    <context>
+      <option name="Python" value="true"/>
+    </context>
+  </template>
   <template name="w_chatbot" value="ui.chatbot(name='$name$',data=$data$),$END$" description="Create a minimal Wave Chatbot." toReformat="true" toShortenFQNames="true">
     <variable name="name" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="data" expression="" defaultValue="" alwaysStopAt="true"/>
@@ -1122,24 +1129,37 @@
       <option name="Python" value="true"/>
     </context>
   </template>
-  <template name="w_full_chatbot" value="ui.chatbot(name='$name$',data=$data$,placeholder='$placeholder$',generating=$generating$,events=[&#10;	$events$	&#10;],prev_items=[&#10;	$prev_items$	&#10;]),$END$" description="Create Wave Chatbot with full attributes." toReformat="true" toShortenFQNames="true">
+  <template name="w_full_chat_suggestion" value="ui.chat_suggestion(name='$name$',label='$label$',caption='$caption$',icon='$icon$'),$END$" description="Create Wave ChatSuggestion with full attributes." toReformat="true" toShortenFQNames="true">
+    <variable name="name" expression="" defaultValue="" alwaysStopAt="true"/>
+    <variable name="label" expression="" defaultValue="" alwaysStopAt="true"/>
+    <variable name="caption" expression="" defaultValue="" alwaysStopAt="true"/>
+    <variable name="icon" expression="" defaultValue="" alwaysStopAt="true"/>
+    <context>
+      <option name="Python" value="true"/>
+    </context>
+  </template>
+  <template name="w_full_chatbot" value="ui.chatbot(name='$name$',data=$data$,placeholder='$placeholder$',generating=$generating$,disabled=$disabled$,events=[&#10;	$events$	&#10;],prev_items=[&#10;	$prev_items$	&#10;],suggestions=[&#10;	$suggestions$	&#10;]),$END$" description="Create Wave Chatbot with full attributes." toReformat="true" toShortenFQNames="true">
     <variable name="name" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="data" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="placeholder" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="generating" expression="" defaultValue="&quot;False&quot;" alwaysStopAt="true"/>
+    <variable name="disabled" expression="" defaultValue="&quot;False&quot;" alwaysStopAt="true"/>
     <variable name="events" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="prev_items" expression="" defaultValue="" alwaysStopAt="true"/>
+    <variable name="suggestions" expression="" defaultValue="" alwaysStopAt="true"/>
     <context>
       <option name="Python" value="true"/>
     </context>
   </template>
-  <template name="w_full_chatbot_card" value="ui.chatbot_card(box='$box$',name='$name$',data=$data$,placeholder='$placeholder$',generating=$generating$,events=[&#10;	$events$	&#10;],commands=[&#10;	$commands$	&#10;])$END$" description="Create Wave ChatbotCard with full attributes." toReformat="true" toShortenFQNames="true">
+  <template name="w_full_chatbot_card" value="ui.chatbot_card(box='$box$',name='$name$',data=$data$,placeholder='$placeholder$',generating=$generating$,disabled=$disabled$,events=[&#10;	$events$	&#10;],suggestions=[&#10;	$suggestions$	&#10;],commands=[&#10;	$commands$	&#10;])$END$" description="Create Wave ChatbotCard with full attributes." toReformat="true" toShortenFQNames="true">
     <variable name="box" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="name" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="data" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="placeholder" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="generating" expression="" defaultValue="&quot;False&quot;" alwaysStopAt="true"/>
+    <variable name="disabled" expression="" defaultValue="&quot;False&quot;" alwaysStopAt="true"/>
     <variable name="events" expression="" defaultValue="" alwaysStopAt="true"/>
+    <variable name="suggestions" expression="" defaultValue="" alwaysStopAt="true"/>
     <variable name="commands" expression="" defaultValue="" alwaysStopAt="true"/>
     <context>
       <option name="Python" value="true"/>
diff --git a/tools/vscode-extension/component-snippets.json b/tools/vscode-extension/component-snippets.json
index 54abe72085..4393f8b4fc 100644
--- a/tools/vscode-extension/component-snippets.json
+++ b/tools/vscode-extension/component-snippets.json
@@ -90,6 +90,13 @@
     ],
     "description": "Create a minimal Wave ChatbotMessage."
   },
+  "Wave ChatSuggestion": {
+    "prefix": "w_chat_suggestion",
+    "body": [
+      "ui.chat_suggestion(name='$1', label='$2'),$0"
+    ],
+    "description": "Create a minimal Wave ChatSuggestion."
+  },
   "Wave Chatbot": {
     "prefix": "w_chatbot",
     "body": [
@@ -1056,17 +1063,24 @@
     ],
     "description": "Create a full Wave ChatbotMessage."
   },
+  "Wave Full ChatSuggestion": {
+    "prefix": "w_full_chat_suggestion",
+    "body": [
+      "ui.chat_suggestion(name='$1', label='$2', caption='$3', icon='$4'),$0"
+    ],
+    "description": "Create a full Wave ChatSuggestion."
+  },
   "Wave Full Chatbot": {
     "prefix": "w_full_chatbot",
     "body": [
-      "ui.chatbot(name='$1', data=$2, placeholder='$3', generating=${4:False}, events=[\n\t\t$5\t\t\n], prev_items=[\n\t\t$6\t\t\n]),$0"
+      "ui.chatbot(name='$1', data=$2, placeholder='$3', generating=${4:False}, disabled=${5:False}, events=[\n\t\t$6\t\t\n], prev_items=[\n\t\t$7\t\t\n], suggestions=[\n\t\t$8\t\t\n]),$0"
     ],
     "description": "Create a full Wave Chatbot."
   },
   "Wave Full ChatbotCard": {
     "prefix": "w_full_chatbot_card",
     "body": [
-      "ui.chatbot_card(box='$1', name='$2', data=$3, placeholder='$4', generating=${5:False}, events=[\n\t\t$6\t\t\n], commands=[\n\t\t$7\t\t\n])$0"
+      "ui.chatbot_card(box='$1', name='$2', data=$3, placeholder='$4', generating=${5:False}, disabled=${6:False}, events=[\n\t\t$7\t\t\n], suggestions=[\n\t\t$8\t\t\n], commands=[\n\t\t$9\t\t\n])$0"
     ],
     "description": "Create a full Wave ChatbotCard."
   },
diff --git a/ui/src/chatbot.test.tsx b/ui/src/chatbot.test.tsx
index 30a1c5fbcb..2c920bb412 100644
--- a/ui/src/chatbot.test.tsx
+++ b/ui/src/chatbot.test.tsx
@@ -11,6 +11,10 @@ const data: any = [
   { content: 'Hi there!', from_user: true },
   { content: 'Hello!', from_user: false },
 ]
+const suggestions = [
+  { name: 'sug1', label: 'Suggestion 1' },
+  { name: 'sug2', label: 'Suggestion 2' }
+]
 
 describe('XChatbot', () => {
   beforeAll(() => {
@@ -128,6 +132,13 @@ describe('XChatbot', () => {
     expect(pushMock).toHaveBeenCalledTimes(0)
   })
 
+  it('Renders disabled user input', () => {
+    const { getByRole } = render(<XChatbot {...{ ...model, disabled: true }} />)
+
+    const input = getByRole('textbox') as HTMLInputElement
+    expect(input.disabled).toEqual(true)
+  })
+
   it('Renders disabled send button when input is empty', () => {
     const { getByTestId } = render(<XChatbot {...model} />)
     expect(getByTestId(`${name}-submit`)).toBeDisabled()
@@ -255,4 +266,24 @@ describe('XChatbot', () => {
     fireEvent.click(dislikeButton)
     expect(emitMock).toHaveBeenCalledTimes(1)
   })
+
+  it('Renders suggestions when specified', () => {
+    const { getByText } = render(<XChatbot {...{ ...model, suggestions }} />)
+
+    expect(getByText('Suggestion 1')).toBeInTheDocument()
+    expect(getByText('Suggestion 2')).toBeInTheDocument()
+  })
+
+  it('Fires event when suggestion is clicked', () => {
+    const { getByText } = render(<XChatbot {...{ ...model, events: ['suggestion'], suggestions }} />)
+
+    fireEvent.click(getByText('Suggestion 1'))
+    expect(emitMock).toHaveBeenCalled()
+    expect(emitMock).toHaveBeenCalledTimes(1)
+    expect(emitMock).toHaveBeenCalledWith(model.name, 'suggestion', suggestions[0].name)
+
+    fireEvent.click(getByText('Suggestion 2'))
+    expect(emitMock).toHaveBeenCalledTimes(2)
+    expect(emitMock).toHaveBeenCalledWith(model.name, 'suggestion', suggestions[1].name)
+  })
 })
diff --git a/ui/src/chatbot.tsx b/ui/src/chatbot.tsx
index 83bd0b7f9a..e3e7dee874 100644
--- a/ui/src/chatbot.tsx
+++ b/ui/src/chatbot.tsx
@@ -23,6 +23,7 @@ import { bond, wave } from './ui'
 
 const
   INPUT_HEIGHT = 30,
+  INPUT_WIDTH = 800,
   css = Fluent.mergeStyleSets({
     chatWindow: {
       height: '100%',
@@ -38,6 +39,8 @@ const
       right: 0,
       overflowY: 'auto',
       padding: margin(0, 15),
+      display: 'flex',
+      flexDirection: 'column',
     },
     msgWrapper: {
       '&:first-child': { marginTop: important(px(0)) },
@@ -62,7 +65,7 @@ const
       bottom: 0,
       left: 0,
       right: 0,
-      maxWidth: 800,
+      maxWidth: INPUT_WIDTH,
       margin: '0 auto'
     },
     stopButton: {
@@ -75,8 +78,38 @@ const
     feedback: {
       display: 'flex',
       justifyContent: 'flex-end',
+    },
+    suggestionsWrapper: {
+      display: 'flex',
+      flexWrap: 'wrap',
+      flexGrow: 1,
+      alignContent: 'flex-end',
+      justifyContent: 'center',
+      maxWidth: INPUT_WIDTH,
+      alignSelf: 'center',
+      paddingTop: 12,
+      paddingBottom: 12,
+    },
+    suggestion: {
+      flexGrow: 1,
+      // Make sure only 2 columns maximum are displayed.
+      flexBasis: (INPUT_WIDTH / 3) + 1,
+      maxWidth: INPUT_WIDTH / 2,
+      margin: 4,
+      borderRadius: 4,
+      boxShadow: '0 6.400000095px 14.399999619px 0 #00000021',
+      overflow: 'hidden',
+    },
+    captionButton: {
+      minHeight: 59,
+      padding: 12,
     }
-  })
+  }),
+  textEllipsisStyle: Fluent.IStyle = { overflow: 'hidden', whiteSpace: 'nowrap', textOverflow: 'ellipsis' },
+  suggestionButtonStyles: Fluent.IButtonStyles = {
+    textContainer: { alignSelf: 'center', overflow: 'hidden' },
+    description: textEllipsisStyle
+  }
 
 type Message = ChatbotMessage & { id?: S, positive?: B }
 
@@ -88,6 +121,18 @@ interface ChatbotMessage {
   from_user: B
 }
 
+/** Create a chat prompt suggestion displayed as button below the last response in the chatbot component. */
+export interface ChatSuggestion {
+  /** An identifying name for this component. */
+  name: Id
+  /** The text displayed for this suggestion. */
+  label: S
+  /** The caption displayed below the label. */
+  caption?: S
+  /** The icon to be displayed for this suggestion. */
+  icon?: S
+}
+
 /** Create a chatbot card to allow getting prompts from users and providing them with LLM generated answers. */
 export interface Chatbot {
   /** An identifying name for this component. */
@@ -96,12 +141,16 @@ export interface Chatbot {
   data: Rec
   /** Chat input box placeholder. Use for prompt examples. */
   placeholder?: S
-  /** The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback'. */
+  /** The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback' | 'suggestion'. */
   events?: S[]
   /** True to show a button to stop the text generation. Defaults to False. */
   generating?: B
   /** The previous messages to show as the user scrolls up. */
   prev_items?: ChatbotMessage[]
+  /** Clickable prompt suggestions shown below the last response. */
+  suggestions?: ChatSuggestion[]
+  /** True if the user input should be disabled. */
+  disabled?: B
 }
 
 const processData = (data: Rec) => unpack<ChatbotMessage[]>(data).map(({ content, from_user }) => ({ content, from_user }))
@@ -115,6 +164,7 @@ export const XChatbot = (props: Chatbot) => {
     botTextColor = React.useMemo(() => getContrast(theme.palette.neutralLighter), [theme.palette.neutralLighter]),
     msgContainerRef = React.useRef<HTMLDivElement>(null),
     skipNextBottomScroll = React.useRef(false),
+    hasSomeCaption = props.suggestions?.some(({ caption }) => !!caption),
     onChange = (e: React.FormEvent<HTMLInputElement | HTMLTextAreaElement>, newVal = '') => {
       e.preventDefault()
       wave.args[props.name] = newVal
@@ -155,6 +205,9 @@ export const XChatbot = (props: Chatbot) => {
         wave.emit(props.name, 'feedback', { message: messages[id].content, positive: false })
         return [...messages]
       })
+    },
+    handleSuggestion = (name: Id) => {
+      if (props.events?.includes('suggestion')) wave.emit(props.name, 'suggestion', name)
     }
 
   React.useEffect(() => {
@@ -212,6 +265,21 @@ export const XChatbot = (props: Chatbot) => {
             </span>
           </div>
         ))}
+        {!!props.suggestions?.length &&
+          <div className={css.suggestionsWrapper}>
+            {props.suggestions.map(({ name, label, caption, icon }) => {
+              const buttonProps: Fluent.IButtonProps = {
+                onClick: () => handleSuggestion(name),
+                className: clas(css.suggestion, hasSomeCaption ? css.captionButton : ''),
+                secondaryText: caption,
+                styles: { ...suggestionButtonStyles, ...{ label: { ...textEllipsisStyle, ...{ margin: caption ? undefined : 0, lineHeight: undefined } } } },
+                iconProps: icon ? { iconName: icon, style: { fontSize: hasSomeCaption ? 20 : 16, alignSelf: 'center' } } : undefined
+              }
+              return hasSomeCaption
+                ? <Fluent.CompoundButton key={name} {...buttonProps}>{label}</Fluent.CompoundButton>
+                : <Fluent.DefaultButton key={name} {...buttonProps}>{label}</Fluent.DefaultButton>
+            })}
+          </div>}
       </InfiniteScrollList>
       <div className={css.textInput}>
         {props.generating &&
@@ -228,6 +296,7 @@ export const XChatbot = (props: Chatbot) => {
           multiline
           autoAdjustHeight
           placeholder={props.placeholder || 'Type your message'}
+          disabled={props.disabled}
           styles={{
             root: { flexGrow: 1 },
             fieldGroup: { minHeight: INPUT_HEIGHT },
@@ -244,7 +313,7 @@ export const XChatbot = (props: Chatbot) => {
           data-test={`${props.name}-submit`}
           iconProps={{ iconName: 'Send' }}
           onClick={submit}
-          disabled={!userInput.trim() || props.generating}
+          disabled={props.disabled || !userInput.trim() || props.generating}
           styles={{
             root: { position: 'absolute', bottom: 16, right: 20, height: INPUT_HEIGHT },
             rootHovered: { backgroundColor: 'transparent' },
@@ -264,10 +333,14 @@ interface State {
   data: Rec
   /** Chat input box placeholder. Use for prompt examples. */
   placeholder?: S
-  /** The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback'. */
+  /** The events to capture on this chatbot. One of 'stop' | 'scroll_up' | 'feedback' | 'suggestion'. */
   events?: S[]
   /** True to show a button to stop the text generation. Defaults to False. */
   generating?: B
+  /** Clickable prompt suggestions shown below the last response. */
+  suggestions?: ChatSuggestion[]
+  /** True if the user input should be disabled. */
+  disabled?: B
 }
 
 export const View = bond(({ name, state, changed }: Model<State>) => {
diff --git a/website/static/img/widgets/chatbot-events-suggestions.png b/website/static/img/widgets/chatbot-events-suggestions.png
new file mode 100644
index 0000000000..c46a7a017f
Binary files /dev/null and b/website/static/img/widgets/chatbot-events-suggestions.png differ
diff --git a/website/static/img/widgets/chatbot-suggestions.gif b/website/static/img/widgets/chatbot-suggestions.gif
new file mode 100644
index 0000000000..885e7edb74
Binary files /dev/null and b/website/static/img/widgets/chatbot-suggestions.gif differ
diff --git a/website/widgets/ai/chatbot.md b/website/widgets/ai/chatbot.md
index 78592e0488..d22766725d 100644
--- a/website/widgets/ai/chatbot.md
+++ b/website/widgets/ai/chatbot.md
@@ -81,3 +81,44 @@ q.page['example'] = ui.chatbot_card(
     events=['feedback']
 )
 ```
+
+## With suggestions
+
+Use `suggestions` to provide user with pre-defined prompt options. Use in combination with `suggestion` event. See [full example](/docs/examples/chatbot-events-suggestions) to learn more.
+
+![chatbot-suggestions](/img/widgets/chatbot-suggestions.gif)
+
+```py {6,7,8,9,10,11,12} ignore
+from h2o_wave import data
+
+q.page['example'] = ui.chatbot_card(
+    box='1 1 5 5',
+    name='chatbot', 
+    data=data(fields='content from_user', t='list'),
+    events=['suggestion'],
+    suggestions=[
+        ui.chat_suggestion('sug1', label="Write a poem", caption="about H2O Wave", icon="Edit"),
+        ui.chat_suggestion('sug2', label="Plan a trip", caption="to Europe", icon="Airplane"),
+        ui.chat_suggestion('sug3', label="Give me ideas", caption="for a new project", icon="Lightbulb"),
+        ui.chat_suggestion('sug4', label="Explain me", caption="CSS preprocessors", icon="Code")
+    ],
+)
+```
+
+## Disable input
+
+Disable user input with `disabled` property. This can be handy e.g. to limit user input to [suggestions](#with-suggestions) only.
+
+```py {10}
+from h2o_wave import data
+
+q.page['example'] = ui.chatbot_card(
+    box='1 1 5 5',
+    name='chatbot', 
+    data=data(fields='content from_user', t='list', rows=[
+        ['Hello, buddy. Can you help me?', True],
+        ['Sure, what you need?', False],
+    ]),
+    disabled=True
+)
+```