fix: update dashboard gif, chat enable/disable setting (#755)

* fix: update dashboard gif, chat enable/disable setting

* use get_bool_or

Author: brandonskiser

crates/q_cli/src/cli/chat/mod.rs

@@ -44,6 +44,7 @@ use fig_api_client::model::{
     ToolResultStatus,
 };
 use fig_os_shim::Context;
+use fig_settings::Settings;
 use fig_util::CLI_BINARY_NAME;
 use input_source::InputSource;
 use parser::{
@@ -140,6 +141,7 @@ pub async fn chat(input: Option<String>, accept_all: bool) -> Result<ExitCode> {
 
     let mut chat = ChatContext::new(
         ctx,
+        Settings::new(),
         output,
         input,
         InputSource::new()?,
@@ -184,6 +186,7 @@ pub enum ChatError {
 
 pub struct ChatContext<W: Write> {
     ctx: Arc<Context>,
+    settings: Settings,
     /// The [Write] destination for printing conversation text.
     output: W,
     initial_input: Option<String>,
@@ -207,6 +210,7 @@ impl<W: Write> ChatContext<W> {
     #[allow(clippy::too_many_arguments)]
     pub fn new(
         ctx: Arc<Context>,
+        settings: Settings,
         output: W,
         input: Option<String>,
         input_source: InputSource,
@@ -217,6 +221,7 @@ impl<W: Write> ChatContext<W> {
     ) -> Result<Self> {
         Ok(Self {
             ctx,
+            settings,
             output,
             initial_input: input,
             input_source,
@@ -293,7 +298,7 @@ where
     W: Write,
 {
     async fn try_chat(&mut self) -> Result<()> {
-        if self.interactive {
+        if self.interactive && self.settings.get_bool_or("chat.greeting.enabled", true) {
             execute!(self.output, style::Print(WELCOME_TEXT))?;
         }
 
@@ -1123,6 +1128,7 @@ mod tests {
 
         ChatContext::new(
             Arc::clone(&ctx),
+            Settings::new_fake(),
             std::io::stdout(),
             None,
             InputSource::new_mock(vec![

packages/dashboard-app/assets/images/chat_demo.gif

@@ -18,7 +18,7 @@ const chatSettings: PrefSection[] = [
 
 export const intro: Intro = {
   title: "Chat",
-  description: `Generative AI for your command line. Just run \`${CLI_BINARY_NAME} chat\`.`,
+  description: `Agentic AI in your command line. Just run \`${CLI_BINARY_NAME} chat\`.`,
   link: CHAT_WIKI_URL,
 };
 

packages/dashboard-app/assets/images/chat_with_context_demo.gif

@@ -1,7 +1,7 @@
 import { UserPrefView } from "@/components/preference/list";
 import { Terminal } from "@/components/ui/terminal";
 import settings, { intro } from "@/data/chat";
-import chatWithContextDemo from "@assets/images/chat_with_context_demo.gif";
+import chatDemo from "@assets/images/chat_demo.gif";
 
 export default function Page() {
   return (
@@ -16,13 +16,13 @@ export default function Page() {
         </h2>
         <div className="flex flex-col gap-6 mt-4">
           <p className="font-light leading-tight">
-            Amazon Q is a generative AI-powered assistant tailored for your
-            command line. Ask Amazon Q a question, and receive an in-depth
-            answer.
+            Amazon Q is an agentic AI assistant capable of performing complex,
+            multi-step actions on your behalf. Amazon Q can write files locally,
+            query AWS resources, and execute bash commands for you.
           </p>
-          <Terminal title="Passing Context">
+          <Terminal title="Chat">
             <Terminal.Tab>
-              <img src={chatWithContextDemo} alt="chat with context demo" />
+              <img src={chatDemo} alt="chat with context demo" />
             </Terminal.Tab>
           </Terminal>
         </div>