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
This commit is contained in:
rwiegand
2025-07-14 12:39:05 +02:00
parent b31492a354
commit f893530471
1798 changed files with 25329 additions and 92638 deletions

32
node_modules/openai/streaming.d.ts generated vendored
View File

@@ -1,2 +1,32 @@
export * from "./core/streaming.js";
import { ReadableStream, type Response } from "./_shims/index.js";
export type ServerSentEvent = {
event: string | null;
data: string;
raw: string[];
};
export declare class Stream<Item> implements AsyncIterable<Item> {
private iterator;
controller: AbortController;
constructor(iterator: () => AsyncIterator<Item>, controller: AbortController);
static fromSSEResponse<Item>(response: Response, controller: AbortController): Stream<Item>;
/**
* Generates a Stream from a newline-separated ReadableStream
* where each item is a JSON value.
*/
static fromReadableStream<Item>(readableStream: ReadableStream, controller: AbortController): Stream<Item>;
[Symbol.asyncIterator](): AsyncIterator<Item>;
/**
* Splits the stream into two streams which can be
* independently read from at different speeds.
*/
tee(): [Stream<Item>, Stream<Item>];
/**
* Converts this stream to a newline-separated ReadableStream of
* JSON stringified values in the stream
* which can be turned back into a Stream with `Stream.fromReadableStream()`.
*/
toReadableStream(): ReadableStream;
}
export declare function _iterSSEMessages(response: Response, controller: AbortController): AsyncGenerator<ServerSentEvent, void, unknown>;
//# sourceMappingURL=streaming.d.ts.map