Initial commit: RA-H Open Source Edition
Local-first knowledge management system with BYO API keys. Features: - 3-panel UI (Nodes | Focus | Helpers) - SQLite + sqlite-vec for vector search - Agent system (Easy/Hard mode orchestrators) - Content extraction (YouTube, PDF, web) - Integrate workflow for connection discovery - Dimension system with auto-assignment Tech stack: - Next.js 15 + TypeScript + Tailwind CSS - Anthropic (Claude) + OpenAI (GPT) via Vercel AI SDK Setup: npm install && npm rebuild better-sqlite3 scripts/dev/bootstrap-local.sh npm run dev MIT License
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import { tool } from 'ai';
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import { z } from 'zod';
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import { formatNodeForChat } from '../infrastructure/nodeFormatter';
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export const createNodeTool = tool({
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description: 'Create node with title/content/link and optional dimensions (locked dimensions auto-assigned)',
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inputSchema: z.object({
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title: z.string().describe('The title of the node'),
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content: z.string().optional().describe('The main content, description, or notes for this node'),
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link: z.string().optional().describe('A URL link to the source'),
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dimensions: z
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.array(z.string())
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.max(5)
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.optional()
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.describe('Optional dimension tags to apply to this node (0-5 items). Locked dimensions will be auto-assigned.'),
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chunk: z.string().optional().describe('Raw content for later processing - CRITICAL for extracted content from URLs'),
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metadata: z.record(z.any()).optional().describe('Additional metadata like source info, extraction details, etc.')
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}),
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execute: async (params) => {
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console.log('🎯 CreateNode tool called with params:', JSON.stringify(params, null, 2));
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try {
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const rawDimensions = params.dimensions || [];
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const trimmedDimensions = rawDimensions
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.map(d => typeof d === 'string' ? d.trim() : '')
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.filter(Boolean)
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.slice(0, 5); // Limit to 5 dimensions max
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// Call the nodes API endpoint
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const response = await fetch(`${process.env.NEXT_PUBLIC_BASE_URL || 'http://localhost:3000'}/api/nodes`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ ...params, dimensions: trimmedDimensions })
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});
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const result = await response.json();
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if (!response.ok) {
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return {
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success: false,
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error: result.error || 'Failed to create node',
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data: null
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};
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}
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// Format the created node for chat display
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const formattedDisplay = formatNodeForChat({
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id: result.data.id,
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title: result.data.title,
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dimensions: result.data.dimensions || trimmedDimensions
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});
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return {
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success: true,
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data: {
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...result.data,
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formatted_display: formattedDisplay
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},
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message: `Created node ${formattedDisplay} with dimensions: ${result.data.dimensions ? result.data.dimensions.join(', ') : 'auto-assigned'}`
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};
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} catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Failed to create node',
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data: null
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};
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}
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}
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});
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// Legacy export for backwards compatibility
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export const createItemTool = createNodeTool;
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