mirror of
https://github.com/tinyhumansai/openhuman.git
synced 2026-07-28 13:32:23 +00:00
- Consolidated JSON structure in `.mcp.json` and `.claude/mcp.json` for improved readability. - Updated `CLAUDE.md` and other documentation files to enhance formatting consistency and clarity. - Improved the organization of agent roles and initialization procedures in `AGENTS.md`, `BOOTSTRAP.md`, and `IDENTITY.md`. - Enhanced user understanding and personalization strategies in `USER.md` and `MEMORY.md`. - Refined tool generation scripts for better error handling and output formatting in `discover-tools.js` and `openClaw-formatter.js`.
270 lines
8.3 KiB
JavaScript
270 lines
8.3 KiB
JavaScript
#!/usr/bin/env node
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/**
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* AlphaHuman Tools Discovery Script
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*
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* Discovers all available tools from the V8 skills runtime and generates
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* a comprehensive TOOLS.md file following OpenClaw framework standards.
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*
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* Usage: node scripts/tools-generator/discover-tools.js
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*/
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import { existsSync, mkdirSync, writeFileSync } from 'fs';
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import { dirname, join } from 'path';
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import { fileURLToPath } from 'url';
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import { generateOpenClawMarkdown } from './openClaw-formatter.js';
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import {
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executeTauriDiscovery,
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getTauriEnvironmentInfo,
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prepareTauriEnvironment,
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validateTauriEnvironment,
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} from './tauri-integration.js';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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const PROJECT_ROOT = join(__dirname, '../..');
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const AI_DIR = join(PROJECT_ROOT, 'ai');
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const TOOLS_OUTPUT = join(AI_DIR, 'TOOLS.md');
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// Environment categories for OpenClaw compatibility
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const ENVIRONMENTS = {
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development: {
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name: 'Development',
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description: 'Local development environment with full access',
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},
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production: {
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name: 'Production',
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description: 'Production environment with security restrictions',
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},
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testing: { name: 'Testing', description: 'Testing environment for automated validation' },
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};
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/**
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* Discovers available tools from V8 skills runtime or fallback sources
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* @returns {Promise<Array>} Array of discovered tools with skill metadata
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*/
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async function discoverTools() {
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console.log('🔍 Discovering tools from V8 skills runtime...');
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// Check if Tauri environment is available
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const tauriAvailable = await validateTauriEnvironment();
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if (tauriAvailable) {
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try {
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console.log('🔧 Preparing Tauri environment...');
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await prepareTauriEnvironment();
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console.log('🚀 Executing Tauri tools discovery...');
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const realTools = await executeTauriDiscovery({
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timeout: 60000, // 60 seconds
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retries: 2,
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verbose: process.env.VERBOSE === 'true',
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});
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if (realTools && realTools.length > 0) {
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console.log(
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`✅ Discovered ${realTools.length} tools from ${new Set(realTools.map(t => t.skillId)).size} skills via Tauri`
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);
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return realTools;
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}
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} catch (error) {
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console.warn('⚠️ Could not discover tools from Tauri runtime:', error.message);
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console.log('📋 Using development mock data instead');
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}
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} else {
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console.warn('⚠️ Tauri environment not available');
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console.log('📋 Using development mock data instead');
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}
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// Fallback to mock data for development
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const mockTools = generateMockToolsForDevelopment();
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console.log(
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`✅ Using mock data: ${mockTools.length} tools from ${new Set(mockTools.map(t => t.skillId)).size} skills`
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);
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return mockTools;
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}
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/**
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* Generates mock tools data for development (until Tauri integration is complete)
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* This simulates the structure returned by runtime_all_tools()
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*/
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function generateMockToolsForDevelopment() {
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return [
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{
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skillId: 'telegram',
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name: 'send_message',
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description: 'Send a message to a Telegram chat or user',
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inputSchema: {
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type: 'object',
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properties: {
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chat_id: { type: 'string', description: 'Telegram chat ID or username' },
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message: { type: 'string', description: 'Message text to send' },
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parse_mode: {
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type: 'string',
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enum: ['HTML', 'Markdown'],
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description: 'Message formatting mode',
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},
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},
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required: ['chat_id', 'message'],
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},
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},
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{
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skillId: 'telegram',
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name: 'get_chat_history',
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description: 'Retrieve message history from a Telegram chat',
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inputSchema: {
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type: 'object',
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properties: {
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chat_id: { type: 'string', description: 'Telegram chat ID or username' },
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limit: { type: 'number', description: 'Number of messages to retrieve (max 100)' },
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offset: { type: 'number', description: 'Offset for pagination' },
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},
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required: ['chat_id'],
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},
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},
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{
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skillId: 'notion',
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name: 'create_page',
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description: 'Create a new page in Notion workspace',
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inputSchema: {
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type: 'object',
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properties: {
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parent_id: { type: 'string', description: 'Parent database or page ID' },
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title: { type: 'string', description: 'Page title' },
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content: { type: 'array', description: 'Page content blocks' },
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properties: { type: 'object', description: 'Page properties for database pages' },
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},
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required: ['parent_id', 'title'],
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},
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},
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{
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skillId: 'gmail',
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name: 'send_email',
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description: 'Send an email via Gmail',
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inputSchema: {
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type: 'object',
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properties: {
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to: { type: 'string', description: 'Recipient email address' },
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subject: { type: 'string', description: 'Email subject line' },
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body: { type: 'string', description: 'Email body content' },
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attachments: { type: 'array', description: 'File attachments' },
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},
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required: ['to', 'subject', 'body'],
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},
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},
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];
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}
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// Removed duplicate functions - now using openClaw-formatter.js
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/**
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* Main execution function
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*/
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async function main() {
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try {
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console.log('🚀 Starting AlphaHuman tools discovery...');
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// Discover all available tools
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const tools = await discoverTools();
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if (tools.length === 0) {
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console.warn(
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'⚠️ No tools discovered. This might indicate an issue with the skills runtime.'
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);
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}
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// Ensure AI directory exists
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if (!existsSync(AI_DIR)) {
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console.log(`📁 Creating AI directory: ${AI_DIR}`);
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mkdirSync(AI_DIR, { recursive: true });
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}
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// Generate OpenClaw-compliant markdown
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console.log('📝 Generating OpenClaw-compliant TOOLS.md content...');
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const markdownContent = generateOpenClawMarkdown(tools);
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// Write to output file
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console.log(`💾 Writing TOOLS.md to: ${TOOLS_OUTPUT}`);
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writeFileSync(TOOLS_OUTPUT, markdownContent, 'utf8');
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console.log('✅ TOOLS.md generated successfully!');
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console.log(
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`📊 Generated documentation for ${tools.length} tools across ${new Set(tools.map(t => t.skillId)).size} skills`
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);
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} catch (error) {
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console.error('❌ Error generating TOOLS.md:', error.message);
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process.exit(1);
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}
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}
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/**
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* Attempts to discover tools from a running Tauri process
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* @returns {Promise<Array>} Array of tools from Tauri runtime
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*/
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async function discoverToolsFromTauri() {
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return new Promise((resolve, reject) => {
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// Try to spawn a minimal Tauri process for tool discovery
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const isWindows = process.platform === 'win32';
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const tauriCommand = isWindows ? 'cargo.exe' : 'cargo';
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const args = [
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'run',
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'--manifest-path',
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join(PROJECT_ROOT, 'src-tauri', 'Cargo.toml'),
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'--bin',
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'alphahuman-tools-discovery',
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];
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console.log('🔧 Attempting to run tools discovery via Cargo...');
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const child = spawn(tauriCommand, args, {
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stdio: ['pipe', 'pipe', 'pipe'],
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cwd: PROJECT_ROOT,
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env: { ...process.env, TAURI_TOOLS_DISCOVERY: 'true' },
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});
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let output = '';
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let errorOutput = '';
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child.stdout.on('data', data => {
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output += data.toString();
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});
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child.stderr.on('data', data => {
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errorOutput += data.toString();
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});
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child.on('close', code => {
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if (code === 0 && output.trim()) {
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try {
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const result = JSON.parse(output.trim());
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if (result.success && result.tools) {
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resolve(result.tools);
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} else {
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reject(new Error(result.error || 'Unknown error from Tauri'));
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}
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} catch (parseError) {
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reject(new Error(`Failed to parse Tauri output: ${parseError.message}`));
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}
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} else {
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reject(new Error(`Tauri process failed (code ${code}): ${errorOutput}`));
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}
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});
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child.on('error', error => {
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reject(new Error(`Failed to spawn Tauri process: ${error.message}`));
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});
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// Timeout after 30 seconds
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setTimeout(() => {
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child.kill();
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reject(new Error('Tauri discovery process timed out'));
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}, 30000);
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});
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}
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// Run if called directly
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if (import.meta.url === `file://${process.argv[1]}`) {
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main();
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}
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export { discoverTools, discoverToolsFromTauri, generateMockToolsForDevelopment };
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