chore: run npm run format
This commit is contained in:
@@ -5,9 +5,19 @@
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import { addTask } from '../../../../scripts/modules/task-manager.js';
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import { findTasksJsonPath } from '../utils/path-utils.js';
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import { enableSilentMode, disableSilentMode } from '../../../../scripts/modules/utils.js';
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import { getAnthropicClientForMCP, getModelConfig } from '../utils/ai-client-utils.js';
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import { _buildAddTaskPrompt, parseTaskJsonResponse, _handleAnthropicStream } from '../../../../scripts/modules/ai-services.js';
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import {
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enableSilentMode,
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disableSilentMode
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} from '../../../../scripts/modules/utils.js';
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import {
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getAnthropicClientForMCP,
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getModelConfig
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} from '../utils/ai-client-utils.js';
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import {
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_buildAddTaskPrompt,
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parseTaskJsonResponse,
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_handleAnthropicStream
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} from '../../../../scripts/modules/ai-services.js';
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/**
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* Direct function wrapper for adding a new task with error handling.
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@@ -24,153 +34,162 @@ import { _buildAddTaskPrompt, parseTaskJsonResponse, _handleAnthropicStream } fr
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* @returns {Promise<Object>} - Result object { success: boolean, data?: any, error?: { code: string, message: string } }
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*/
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export async function addTaskDirect(args, log, context = {}) {
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try {
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// Enable silent mode to prevent console logs from interfering with JSON response
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enableSilentMode();
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// Find the tasks.json path
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const tasksPath = findTasksJsonPath(args, log);
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// Check required parameters
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if (!args.prompt) {
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log.error('Missing required parameter: prompt');
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'MISSING_PARAMETER',
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message: 'The prompt parameter is required for adding a task'
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}
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};
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}
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// Extract and prepare parameters
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const prompt = args.prompt;
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const dependencies = Array.isArray(args.dependencies)
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? args.dependencies
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: (args.dependencies ? String(args.dependencies).split(',').map(id => parseInt(id.trim(), 10)) : []);
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const priority = args.priority || 'medium';
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log.info(`Adding new task with prompt: "${prompt}", dependencies: [${dependencies.join(', ')}], priority: ${priority}`);
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// Extract context parameters for advanced functionality
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// Commenting out reportProgress extraction
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// const { reportProgress, session } = context;
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const { session } = context; // Keep session
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try {
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// Enable silent mode to prevent console logs from interfering with JSON response
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enableSilentMode();
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// Initialize AI client with session environment
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let localAnthropic;
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try {
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localAnthropic = getAnthropicClientForMCP(session, log);
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} catch (error) {
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log.error(`Failed to initialize Anthropic client: ${error.message}`);
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'AI_CLIENT_ERROR',
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message: `Cannot initialize AI client: ${error.message}`
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}
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};
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}
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// Find the tasks.json path
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const tasksPath = findTasksJsonPath(args, log);
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// Get model configuration from session
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const modelConfig = getModelConfig(session);
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// Check required parameters
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if (!args.prompt) {
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log.error('Missing required parameter: prompt');
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'MISSING_PARAMETER',
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message: 'The prompt parameter is required for adding a task'
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}
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};
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}
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// Read existing tasks to provide context
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let tasksData;
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try {
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const fs = await import('fs');
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tasksData = JSON.parse(fs.readFileSync(tasksPath, 'utf8'));
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} catch (error) {
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log.warn(`Could not read existing tasks for context: ${error.message}`);
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tasksData = { tasks: [] };
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}
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// Extract and prepare parameters
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const prompt = args.prompt;
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const dependencies = Array.isArray(args.dependencies)
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? args.dependencies
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: args.dependencies
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? String(args.dependencies)
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.split(',')
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.map((id) => parseInt(id.trim(), 10))
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: [];
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const priority = args.priority || 'medium';
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// Build prompts for AI
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const { systemPrompt, userPrompt } = _buildAddTaskPrompt(prompt, tasksData.tasks);
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log.info(
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`Adding new task with prompt: "${prompt}", dependencies: [${dependencies.join(', ')}], priority: ${priority}`
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);
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// Make the AI call using the streaming helper
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let responseText;
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try {
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responseText = await _handleAnthropicStream(
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localAnthropic,
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{
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model: modelConfig.model,
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max_tokens: modelConfig.maxTokens,
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temperature: modelConfig.temperature,
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messages: [{ role: "user", content: userPrompt }],
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system: systemPrompt
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},
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{
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// reportProgress: context.reportProgress, // Commented out to prevent Cursor stroking out
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mcpLog: log
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}
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);
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} catch (error) {
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log.error(`AI processing failed: ${error.message}`);
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'AI_PROCESSING_ERROR',
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message: `Failed to generate task with AI: ${error.message}`
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}
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};
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}
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// Extract context parameters for advanced functionality
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// Commenting out reportProgress extraction
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// const { reportProgress, session } = context;
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const { session } = context; // Keep session
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// Parse the AI response
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let taskDataFromAI;
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try {
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taskDataFromAI = parseTaskJsonResponse(responseText);
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} catch (error) {
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log.error(`Failed to parse AI response: ${error.message}`);
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'RESPONSE_PARSING_ERROR',
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message: `Failed to parse AI response: ${error.message}`
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}
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};
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}
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// Call the addTask function with 'json' outputFormat to prevent console output when called via MCP
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const newTaskId = await addTask(
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tasksPath,
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prompt,
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dependencies,
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priority,
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{
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// reportProgress, // Commented out
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mcpLog: log,
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session,
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taskDataFromAI // Pass the parsed AI result
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},
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'json'
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);
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// Restore normal logging
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disableSilentMode();
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return {
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success: true,
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data: {
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taskId: newTaskId,
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message: `Successfully added new task #${newTaskId}`
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}
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};
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} catch (error) {
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// Make sure to restore normal logging even if there's an error
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disableSilentMode();
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log.error(`Error in addTaskDirect: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'ADD_TASK_ERROR',
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message: error.message
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}
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};
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}
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}
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// Initialize AI client with session environment
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let localAnthropic;
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try {
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localAnthropic = getAnthropicClientForMCP(session, log);
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} catch (error) {
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log.error(`Failed to initialize Anthropic client: ${error.message}`);
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'AI_CLIENT_ERROR',
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message: `Cannot initialize AI client: ${error.message}`
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}
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};
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}
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// Get model configuration from session
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const modelConfig = getModelConfig(session);
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// Read existing tasks to provide context
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let tasksData;
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try {
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const fs = await import('fs');
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tasksData = JSON.parse(fs.readFileSync(tasksPath, 'utf8'));
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} catch (error) {
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log.warn(`Could not read existing tasks for context: ${error.message}`);
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tasksData = { tasks: [] };
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}
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// Build prompts for AI
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const { systemPrompt, userPrompt } = _buildAddTaskPrompt(
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prompt,
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tasksData.tasks
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);
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// Make the AI call using the streaming helper
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let responseText;
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try {
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responseText = await _handleAnthropicStream(
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localAnthropic,
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{
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model: modelConfig.model,
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max_tokens: modelConfig.maxTokens,
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temperature: modelConfig.temperature,
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messages: [{ role: 'user', content: userPrompt }],
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system: systemPrompt
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},
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{
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// reportProgress: context.reportProgress, // Commented out to prevent Cursor stroking out
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mcpLog: log
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}
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);
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} catch (error) {
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log.error(`AI processing failed: ${error.message}`);
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'AI_PROCESSING_ERROR',
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message: `Failed to generate task with AI: ${error.message}`
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}
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};
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}
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// Parse the AI response
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let taskDataFromAI;
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try {
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taskDataFromAI = parseTaskJsonResponse(responseText);
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} catch (error) {
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log.error(`Failed to parse AI response: ${error.message}`);
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disableSilentMode();
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return {
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success: false,
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error: {
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code: 'RESPONSE_PARSING_ERROR',
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message: `Failed to parse AI response: ${error.message}`
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}
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};
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}
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// Call the addTask function with 'json' outputFormat to prevent console output when called via MCP
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const newTaskId = await addTask(
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tasksPath,
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prompt,
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dependencies,
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priority,
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{
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// reportProgress, // Commented out
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mcpLog: log,
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session,
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taskDataFromAI // Pass the parsed AI result
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},
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'json'
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);
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// Restore normal logging
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disableSilentMode();
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return {
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success: true,
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data: {
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taskId: newTaskId,
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message: `Successfully added new task #${newTaskId}`
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}
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};
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} catch (error) {
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// Make sure to restore normal logging even if there's an error
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disableSilentMode();
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log.error(`Error in addTaskDirect: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'ADD_TASK_ERROR',
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message: error.message
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}
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};
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}
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}
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