mirror of
https://github.com/microsoft/vscode-extension-samples.git
synced 2026-06-13 07:10:26 +08:00
Switch internal scripts to ts
Also adds a formatting script and runs it against all TS files in the samples
This commit is contained in:
@ -6,219 +6,219 @@ const CAT_NAMES_COMMAND_ID = 'cat.namesInEditor';
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const CAT_PARTICIPANT_ID = 'chat-sample.cat';
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interface ICatChatResult extends vscode.ChatResult {
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metadata: {
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command: string;
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}
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metadata: {
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command: string;
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}
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}
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export function activate(context: vscode.ExtensionContext) {
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// Define a Cat chat handler.
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const handler: vscode.ChatRequestHandler = async (request: vscode.ChatRequest, context: vscode.ChatContext, stream: vscode.ChatResponseStream, token: vscode.CancellationToken): Promise<ICatChatResult> => {
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// To talk to an LLM in your subcommand handler implementation, your
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// extension can use VS Code's `requestChatAccess` API to access the Copilot API.
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// The GitHub Copilot Chat extension implements this provider.
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if (request.command === 'randomTeach') {
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stream.progress('Picking the right topic to teach...');
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const topic = getTopic(context.history);
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try {
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const messages = [
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vscode.LanguageModelChatMessage.User('You are a cat! Your job is to explain computer science concepts in the funny manner of a cat. Always start your response by stating what concept you are explaining. Always include code samples.'),
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vscode.LanguageModelChatMessage.User(topic)
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];
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// Define a Cat chat handler.
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const handler: vscode.ChatRequestHandler = async (request: vscode.ChatRequest, context: vscode.ChatContext, stream: vscode.ChatResponseStream, token: vscode.CancellationToken): Promise<ICatChatResult> => {
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// To talk to an LLM in your subcommand handler implementation, your
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// extension can use VS Code's `requestChatAccess` API to access the Copilot API.
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// The GitHub Copilot Chat extension implements this provider.
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if (request.command === 'randomTeach') {
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stream.progress('Picking the right topic to teach...');
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const topic = getTopic(context.history);
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try {
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const messages = [
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vscode.LanguageModelChatMessage.User('You are a cat! Your job is to explain computer science concepts in the funny manner of a cat. Always start your response by stating what concept you are explaining. Always include code samples.'),
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vscode.LanguageModelChatMessage.User(topic)
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];
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const chatResponse = await request.model.sendRequest(messages, {}, token);
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for await (const fragment of chatResponse.text) {
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stream.markdown(fragment);
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}
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} catch(err) {
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handleError(logger, err, stream);
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}
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const chatResponse = await request.model.sendRequest(messages, {}, token);
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for await (const fragment of chatResponse.text) {
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stream.markdown(fragment);
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}
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stream.button({
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command: CAT_NAMES_COMMAND_ID,
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title: vscode.l10n.t('Use Cat Names in Editor')
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});
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logger.logUsage('request', { kind: 'randomTeach'});
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return { metadata: { command: 'randomTeach' } };
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} else if (request.command === 'play') {
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stream.progress('Throwing away the computer science books and preparing to play with some Python code...');
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try {
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// Here's an example of how to use the prompt-tsx library to build a prompt
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const { messages } = await renderPrompt(
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PlayPrompt,
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{ userQuery: request.prompt },
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{ modelMaxPromptTokens: request.model.maxInputTokens },
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request.model);
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const chatResponse = await request.model.sendRequest(messages, {}, token);
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for await (const fragment of chatResponse.text) {
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stream.markdown(fragment);
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}
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} catch(err) {
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handleError(logger, err, stream);
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}
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} catch (err) {
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handleError(logger, err, stream);
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}
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logger.logUsage('request', { kind: 'play'});
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return { metadata: { command: 'play' } };
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} else {
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try {
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const messages = [
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vscode.LanguageModelChatMessage.User(`You are a cat! Think carefully and step by step like a cat would.
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stream.button({
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command: CAT_NAMES_COMMAND_ID,
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title: vscode.l10n.t('Use Cat Names in Editor')
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});
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logger.logUsage('request', { kind: 'randomTeach' });
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return { metadata: { command: 'randomTeach' } };
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} else if (request.command === 'play') {
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stream.progress('Throwing away the computer science books and preparing to play with some Python code...');
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try {
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// Here's an example of how to use the prompt-tsx library to build a prompt
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const { messages } = await renderPrompt(
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PlayPrompt,
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{ userQuery: request.prompt },
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{ modelMaxPromptTokens: request.model.maxInputTokens },
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request.model);
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const chatResponse = await request.model.sendRequest(messages, {}, token);
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for await (const fragment of chatResponse.text) {
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stream.markdown(fragment);
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}
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} catch (err) {
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handleError(logger, err, stream);
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}
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logger.logUsage('request', { kind: 'play' });
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return { metadata: { command: 'play' } };
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} else {
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try {
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const messages = [
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vscode.LanguageModelChatMessage.User(`You are a cat! Think carefully and step by step like a cat would.
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Your job is to explain computer science concepts in the funny manner of a cat, using cat metaphors. Always start your response by stating what concept you are explaining. Always include code samples.`),
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vscode.LanguageModelChatMessage.User(request.prompt)
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];
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const chatResponse = await request.model.sendRequest(messages, {}, token);
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for await (const fragment of chatResponse.text) {
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// Process the output from the language model
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// Replace all python function definitions with cat sounds to make the user stop looking at the code and start playing with the cat
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const catFragment = fragment.replaceAll('def', 'meow');
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stream.markdown(catFragment);
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}
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} catch(err) {
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handleError(logger, err, stream);
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}
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vscode.LanguageModelChatMessage.User(request.prompt)
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];
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logger.logUsage('request', { kind: ''});
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return { metadata: { command: '' } };
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}
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};
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const chatResponse = await request.model.sendRequest(messages, {}, token);
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for await (const fragment of chatResponse.text) {
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// Process the output from the language model
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// Replace all python function definitions with cat sounds to make the user stop looking at the code and start playing with the cat
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const catFragment = fragment.replaceAll('def', 'meow');
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stream.markdown(catFragment);
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}
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} catch (err) {
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handleError(logger, err, stream);
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}
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// Chat participants appear as top-level options in the chat input
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// when you type `@`, and can contribute sub-commands in the chat input
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// that appear when you type `/`.
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const cat = vscode.chat.createChatParticipant(CAT_PARTICIPANT_ID, handler);
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cat.iconPath = vscode.Uri.joinPath(context.extensionUri, 'cat.jpeg');
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cat.followupProvider = {
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provideFollowups(result: ICatChatResult, context: vscode.ChatContext, token: vscode.CancellationToken) {
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return [{
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prompt: 'let us play',
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label: vscode.l10n.t('Play with the cat'),
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command: 'play'
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} satisfies vscode.ChatFollowup];
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}
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};
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logger.logUsage('request', { kind: '' });
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return { metadata: { command: '' } };
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}
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};
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const logger = vscode.env.createTelemetryLogger({
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sendEventData(eventName, data) {
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// Capture event telemetry
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console.log(`Event: ${eventName}`);
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console.log(`Data: ${JSON.stringify(data)}`);
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},
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sendErrorData(error, data) {
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// Capture error telemetry
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console.error(`Error: ${error}`);
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console.error(`Data: ${JSON.stringify(data)}`);
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}
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});
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// Chat participants appear as top-level options in the chat input
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// when you type `@`, and can contribute sub-commands in the chat input
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// that appear when you type `/`.
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const cat = vscode.chat.createChatParticipant(CAT_PARTICIPANT_ID, handler);
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cat.iconPath = vscode.Uri.joinPath(context.extensionUri, 'cat.jpeg');
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cat.followupProvider = {
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provideFollowups(result: ICatChatResult, context: vscode.ChatContext, token: vscode.CancellationToken) {
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return [{
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prompt: 'let us play',
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label: vscode.l10n.t('Play with the cat'),
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command: 'play'
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} satisfies vscode.ChatFollowup];
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}
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};
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context.subscriptions.push(cat.onDidReceiveFeedback((feedback: vscode.ChatResultFeedback) => {
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// Log chat result feedback to be able to compute the success matric of the participant
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// unhelpful / totalRequests is a good success metric
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logger.logUsage('chatResultFeedback', {
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kind: feedback.kind
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});
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}));
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const logger = vscode.env.createTelemetryLogger({
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sendEventData(eventName, data) {
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// Capture event telemetry
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console.log(`Event: ${eventName}`);
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console.log(`Data: ${JSON.stringify(data)}`);
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},
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sendErrorData(error, data) {
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// Capture error telemetry
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console.error(`Error: ${error}`);
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console.error(`Data: ${JSON.stringify(data)}`);
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}
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});
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context.subscriptions.push(
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cat,
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// Register the command handler for the /meow followup
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vscode.commands.registerTextEditorCommand(CAT_NAMES_COMMAND_ID, async (textEditor: vscode.TextEditor) => {
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// Replace all variables in active editor with cat names and words
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const text = textEditor.document.getText();
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context.subscriptions.push(cat.onDidReceiveFeedback((feedback: vscode.ChatResultFeedback) => {
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// Log chat result feedback to be able to compute the success matric of the participant
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// unhelpful / totalRequests is a good success metric
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logger.logUsage('chatResultFeedback', {
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kind: feedback.kind
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});
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}));
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let chatResponse: vscode.LanguageModelChatResponse | undefined;
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try {
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// Use gpt-4o since it is fast and high quality.
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const [model] = await vscode.lm.selectChatModels({ vendor: 'copilot', family: 'gpt-4o' });
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if (!model) {
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console.log('Model not found. Please make sure the GitHub Copilot Chat extension is installed and enabled.');
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return;
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}
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context.subscriptions.push(
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cat,
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// Register the command handler for the /meow followup
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vscode.commands.registerTextEditorCommand(CAT_NAMES_COMMAND_ID, async (textEditor: vscode.TextEditor) => {
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// Replace all variables in active editor with cat names and words
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const text = textEditor.document.getText();
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const messages = [
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vscode.LanguageModelChatMessage.User(`You are a cat! Think carefully and step by step like a cat would.
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let chatResponse: vscode.LanguageModelChatResponse | undefined;
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try {
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// Use gpt-4o since it is fast and high quality.
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const [model] = await vscode.lm.selectChatModels({ vendor: 'copilot', family: 'gpt-4o' });
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if (!model) {
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console.log('Model not found. Please make sure the GitHub Copilot Chat extension is installed and enabled.');
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return;
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}
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const messages = [
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vscode.LanguageModelChatMessage.User(`You are a cat! Think carefully and step by step like a cat would.
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Your job is to replace all variable names in the following code with funny cat variable names. Be creative. IMPORTANT respond just with code. Do not use markdown!`),
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vscode.LanguageModelChatMessage.User(text)
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];
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chatResponse = await model.sendRequest(messages, {}, new vscode.CancellationTokenSource().token);
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vscode.LanguageModelChatMessage.User(text)
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];
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chatResponse = await model.sendRequest(messages, {}, new vscode.CancellationTokenSource().token);
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} catch (err) {
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if (err instanceof vscode.LanguageModelError) {
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console.log(err.message, err.code, err.cause);
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} else {
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throw err;
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}
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return;
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}
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} catch (err) {
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if (err instanceof vscode.LanguageModelError) {
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console.log(err.message, err.code, err.cause);
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} else {
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throw err;
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}
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return;
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}
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// Clear the editor content before inserting new content
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await textEditor.edit(edit => {
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const start = new vscode.Position(0, 0);
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const end = new vscode.Position(textEditor.document.lineCount - 1, textEditor.document.lineAt(textEditor.document.lineCount - 1).text.length);
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edit.delete(new vscode.Range(start, end));
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});
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// Clear the editor content before inserting new content
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await textEditor.edit(edit => {
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const start = new vscode.Position(0, 0);
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const end = new vscode.Position(textEditor.document.lineCount - 1, textEditor.document.lineAt(textEditor.document.lineCount - 1).text.length);
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edit.delete(new vscode.Range(start, end));
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});
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// Stream the code into the editor as it is coming in from the Language Model
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try {
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for await (const fragment of chatResponse.text) {
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await textEditor.edit(edit => {
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const lastLine = textEditor.document.lineAt(textEditor.document.lineCount - 1);
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const position = new vscode.Position(lastLine.lineNumber, lastLine.text.length);
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edit.insert(position, fragment);
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});
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}
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} catch (err) {
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// async response stream may fail, e.g network interruption or server side error
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await textEditor.edit(edit => {
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const lastLine = textEditor.document.lineAt(textEditor.document.lineCount - 1);
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const position = new vscode.Position(lastLine.lineNumber, lastLine.text.length);
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edit.insert(position, (<Error>err).message);
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});
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}
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}),
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);
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// Stream the code into the editor as it is coming in from the Language Model
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try {
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for await (const fragment of chatResponse.text) {
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await textEditor.edit(edit => {
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const lastLine = textEditor.document.lineAt(textEditor.document.lineCount - 1);
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const position = new vscode.Position(lastLine.lineNumber, lastLine.text.length);
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edit.insert(position, fragment);
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});
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}
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} catch (err) {
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// async response stream may fail, e.g network interruption or server side error
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await textEditor.edit(edit => {
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const lastLine = textEditor.document.lineAt(textEditor.document.lineCount - 1);
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const position = new vscode.Position(lastLine.lineNumber, lastLine.text.length);
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edit.insert(position, (<Error>err).message);
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});
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}
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}),
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);
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}
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function handleError(logger: vscode.TelemetryLogger, err: any, stream: vscode.ChatResponseStream): void {
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// making the chat request might fail because
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// - model does not exist
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// - user consent not given
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// - quote limits exceeded
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logger.logError(err);
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if (err instanceof vscode.LanguageModelError) {
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console.log(err.message, err.code, err.cause);
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if (err.cause instanceof Error && err.cause.message.includes('off_topic')) {
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stream.markdown(vscode.l10n.t('I\'m sorry, I can only explain computer science concepts.'));
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}
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} else {
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// re-throw other errors so they show up in the UI
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throw err;
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}
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// making the chat request might fail because
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// - model does not exist
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// - user consent not given
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// - quote limits exceeded
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logger.logError(err);
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if (err instanceof vscode.LanguageModelError) {
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console.log(err.message, err.code, err.cause);
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if (err.cause instanceof Error && err.cause.message.includes('off_topic')) {
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stream.markdown(vscode.l10n.t('I\'m sorry, I can only explain computer science concepts.'));
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}
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} else {
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// re-throw other errors so they show up in the UI
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throw err;
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}
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}
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// Get a random topic that the cat has not taught in the chat history yet
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function getTopic(history: ReadonlyArray<vscode.ChatRequestTurn | vscode.ChatResponseTurn>): string {
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const topics = ['linked list', 'recursion', 'stack', 'queue', 'pointers'];
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// Filter the chat history to get only the responses from the cat
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const previousCatResponses = history.filter(h => {
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return h instanceof vscode.ChatResponseTurn && h.participant === CAT_PARTICIPANT_ID;
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}) as vscode.ChatResponseTurn[];
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// Filter the topics to get only the topics that have not been taught by the cat yet
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const topicsNoRepetition = topics.filter(topic => {
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return !previousCatResponses.some(catResponse => {
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return catResponse.response.some(r => {
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return r instanceof vscode.ChatResponseMarkdownPart && r.value.value.includes(topic);
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});
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});
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});
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const topics = ['linked list', 'recursion', 'stack', 'queue', 'pointers'];
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// Filter the chat history to get only the responses from the cat
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const previousCatResponses = history.filter(h => {
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return h instanceof vscode.ChatResponseTurn && h.participant === CAT_PARTICIPANT_ID;
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}) as vscode.ChatResponseTurn[];
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// Filter the topics to get only the topics that have not been taught by the cat yet
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const topicsNoRepetition = topics.filter(topic => {
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return !previousCatResponses.some(catResponse => {
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return catResponse.response.some(r => {
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return r instanceof vscode.ChatResponseMarkdownPart && r.value.value.includes(topic);
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});
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});
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});
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return topicsNoRepetition[Math.floor(Math.random() * topicsNoRepetition.length)] || 'I have taught you everything I know. Meow!';
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return topicsNoRepetition[Math.floor(Math.random() * topicsNoRepetition.length)] || 'I have taught you everything I know. Meow!';
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}
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export function deactivate() { }
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