f893530471
🎯 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
31 lines
1.2 KiB
TypeScript
31 lines
1.2 KiB
TypeScript
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import { AzureOpenAI, OpenAI } from "../../index.js";
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import type { RealtimeClientEvent } from "../../resources/beta/realtime/realtime.js";
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import { OpenAIRealtimeEmitter } from "./internal-base.js";
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type _WebSocket = typeof globalThis extends ({
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WebSocket: infer ws extends abstract new (...args: any) => any;
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}) ? InstanceType<ws> : any;
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export declare class OpenAIRealtimeWebSocket extends OpenAIRealtimeEmitter {
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url: URL;
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socket: _WebSocket;
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constructor(props: {
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model: string;
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dangerouslyAllowBrowser?: boolean;
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/**
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* Callback to mutate the URL, needed for Azure.
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* @internal
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*/
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onURL?: (url: URL) => void;
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}, client?: Pick<OpenAI, 'apiKey' | 'baseURL'>);
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static azure(client: Pick<AzureOpenAI, '_getAzureADToken' | 'apiVersion' | 'apiKey' | 'baseURL' | 'deploymentName'>, options?: {
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deploymentName?: string;
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dangerouslyAllowBrowser?: boolean;
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}): Promise<OpenAIRealtimeWebSocket>;
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send(event: RealtimeClientEvent): void;
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close(props?: {
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code: number;
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reason: string;
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}): void;
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}
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export {};
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//# sourceMappingURL=websocket.d.ts.map
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