✅ Fix chat interface - restore continuous conversation flow

🎯 Major improvements to MissionControl component:
- Always keep input field visible and functional after AI responses
- Auto-clear input after submitting questions for better UX
- Add dynamic visual indicators (first question vs follow-up)
- Improve response layout with clear separation and hints
- Enable proper chat-like experience for continuous learning

🌟 Additional enhancements:
- Better language-specific messaging throughout interface
- Clearer visual hierarchy between input and response areas
- Intuitive flow that guides users to ask follow-up questions
- Maintains responsive design and accessibility

🔧 Technical changes:
- Enhanced MissionControl state management
- Improved component layout and styling
- Better TypeScript integration across components
- Updated tsconfig for stricter type checking

node_modules/openai/beta/realtime/internal-base.js

@@ -1,8 +1,6 @@
 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-exports.OpenAIRealtimeEmitter = exports.OpenAIRealtimeError = void 0;
-exports.isAzure = isAzure;
-exports.buildRealtimeURL = buildRealtimeURL;
+exports.buildRealtimeURL = exports.isAzure = exports.OpenAIRealtimeEmitter = exports.OpenAIRealtimeError = void 0;
 const EventEmitter_1 = require("../../lib/EventEmitter.js");
 const error_1 = require("../../error.js");
 const index_1 = require("../../index.js");
@@ -38,6 +36,7 @@ exports.OpenAIRealtimeEmitter = OpenAIRealtimeEmitter;
 function isAzure(client) {
     return client instanceof index_1.AzureOpenAI;
 }
+exports.isAzure = isAzure;
 function buildRealtimeURL(client, model) {
     const path = '/realtime';
     const baseURL = client.baseURL;
@@ -52,4 +51,5 @@ function buildRealtimeURL(client, model) {
     }
     return url;
 }
+exports.buildRealtimeURL = buildRealtimeURL;
 //# sourceMappingURL=internal-base.js.map