From 9f5cc71fe75a0260cd996533e7feaeafd8a8cbde Mon Sep 17 00:00:00 2001 From: dh Date: Thu, 15 Jan 2026 00:08:46 +0100 Subject: [PATCH 1/8] feat: Introduce custom type registration and schema handling in MindCache - Added support for custom types with markdown schema definitions. - Implemented methods for registering types, assigning types to keys, and retrieving type schemas. - Enhanced AIToolBuilder to utilize custom type schemas in tool descriptions and prompts. - Updated tests to validate custom type functionality and integration with existing features. - Reflected changes in the core types and exports to accommodate new custom type definitions. --- packages/mindcache/src/core/AIToolBuilder.ts | 49 ++++++-- packages/mindcache/src/core/MindCache.test.ts | 96 ++++++++++++++ packages/mindcache/src/core/MindCache.ts | 77 +++++++++++- .../mindcache/src/core/SchemaParser.test.ts | 119 ++++++++++++++++++ packages/mindcache/src/core/SchemaParser.ts | 90 +++++++++++++ packages/mindcache/src/core/index.ts | 1 + packages/mindcache/src/core/types.ts | 24 ++++ packages/mindcache/src/index.ts | 6 +- 8 files changed, 452 insertions(+), 10 deletions(-) create mode 100644 packages/mindcache/src/core/SchemaParser.test.ts create mode 100644 packages/mindcache/src/core/SchemaParser.ts diff --git a/packages/mindcache/src/core/AIToolBuilder.ts b/packages/mindcache/src/core/AIToolBuilder.ts index c0d93e9..b0b6c13 100644 --- a/packages/mindcache/src/core/AIToolBuilder.ts +++ b/packages/mindcache/src/core/AIToolBuilder.ts @@ -1,6 +1,7 @@ /* eslint-disable @typescript-eslint/no-explicit-any */ import * as Y from 'yjs'; -import type { KeyAttributes } from './types'; +import type { KeyAttributes, CustomTypeDefinition } from './types'; +import { SchemaParser } from './SchemaParser'; /** * Interface for MindCache methods needed by AIToolBuilder. @@ -21,6 +22,10 @@ export interface IAIToolBuildable { get_document(key: string): Y.Text | undefined; insert_text(key: string, index: number, text: string): void; _replaceDocumentText(key: string, newText: string, diffThreshold?: number): void; + + // Custom type operations + getTypeSchema(typeName: string): CustomTypeDefinition | undefined; + getKeyType(key: string): string | undefined; } /** @@ -80,15 +85,29 @@ export class AIToolBuilder { const sanitizedKey = AIToolBuilder.sanitizeKeyForTool(key); const isDocument = attributes?.type === 'document'; + // Check for custom type schema + const customTypeName = mc.getKeyType(key); + const customType = customTypeName ? mc.getTypeSchema(customTypeName) : undefined; + + // Build description with custom type guidance if applicable + let writeDescription: string; + if (customType) { + const schemaGuidance = SchemaParser.toPromptDescription(customType); + const example = SchemaParser.generateExample(customType); + writeDescription = `Write a value to "${key}" that must follow this schema:\n${schemaGuidance}\n\nExample format:\n${example}`; + } else if (isDocument) { + writeDescription = `Rewrite the entire "${key}" document`; + } else { + writeDescription = `Write a value to the STM key: ${key}`; + } + // 1. write_ tool (for all writable keys) tools[`write_${sanitizedKey}`] = { - description: isDocument - ? `Rewrite the entire "${key}" document` - : `Write a value to the STM key: ${key}`, + description: writeDescription, inputSchema: { type: 'object', properties: { - value: { type: 'string', description: isDocument ? 'New document content' : 'The value to write' } + value: { type: 'string', description: customType ? `Value following ${customTypeName} schema` : (isDocument ? 'New document content' : 'The value to write') } }, required: ['value'] }, @@ -245,8 +264,20 @@ export class AIToolBuilder { const isDocument = attributes?.type === 'document'; const sanitizedKey = AIToolBuilder.sanitizeKeyForTool(key); + // Check for custom type + const customTypeName = mc.getKeyType(key); + const customType = customTypeName ? mc.getTypeSchema(customTypeName) : undefined; + if (isWritable) { - if (isDocument) { + if (customType) { + // Key with custom type - include schema in prompt + const schemaInfo = SchemaParser.toMarkdown(customType); + lines.push( + `${key} (type: ${customTypeName}): ${displayValue}\n` + + `Schema:\n${schemaInfo}\n` + + `Tool: write_${sanitizedKey}` + ); + } else if (isDocument) { lines.push( `${key}: ${displayValue}. ` + `Document tools: write_${sanitizedKey}, append_${sanitizedKey}, edit_${sanitizedKey}` @@ -262,7 +293,11 @@ export class AIToolBuilder { ); } } else { - lines.push(`${key}: ${displayValue}`); + if (customTypeName) { + lines.push(`${key} (type: ${customTypeName}): ${displayValue}`); + } else { + lines.push(`${key}: ${displayValue}`); + } } } diff --git a/packages/mindcache/src/core/MindCache.test.ts b/packages/mindcache/src/core/MindCache.test.ts index 9e355f8..a761148 100644 --- a/packages/mindcache/src/core/MindCache.test.ts +++ b/packages/mindcache/src/core/MindCache.test.ts @@ -561,4 +561,100 @@ describe('MindCache', () => { expect(prompt).toContain('edit_notes'); }); }); + + describe('Custom Types', () => { + it('should register a type with markdown schema', () => { + const mc = new MindCache(); + const schema = ` +#Contact +* name: full name +* email: email address +`; + mc.registerType('Contact', schema); + + const typeDef = mc.getTypeSchema('Contact'); + expect(typeDef).toBeDefined(); + expect(typeDef?.name).toBe('Contact'); + expect(typeDef?.fields).toHaveLength(2); + expect(typeDef?.fields[0].name).toBe('name'); + expect(typeDef?.fields[0].description).toBe('full name'); + expect(typeDef?.fields[1].name).toBe('email'); + }); + + it('should throw on invalid schema format', () => { + const mc = new MindCache(); + expect(() => mc.registerType('Bad', 'no header')).toThrow(); + expect(() => mc.registerType('Empty', '#Empty')).toThrow(/must have at least one field/); + }); + + it('should assign a type to a key via setType', () => { + const mc = new MindCache(); + mc.registerType('Contact', ` +#Contact +* name: full name +`); + mc.set_value('john', '', { systemTags: ['LLMWrite'] }); + mc.setType('john', 'Contact'); + + expect(mc.getKeyType('john')).toBe('Contact'); + const attrs = mc.get_attributes('john'); + expect(attrs?.customType).toBe('Contact'); + }); + + it('should throw if setting type on non-existent key', () => { + const mc = new MindCache(); + mc.registerType('Contact', ` +#Contact +* name: full name +`); + expect(() => mc.setType('nonexistent', 'Contact')).toThrow(/does not exist/); + }); + + it('should throw if setting unregistered type', () => { + const mc = new MindCache(); + mc.set_value('test', 'value'); + expect(() => mc.setType('test', 'Unknown')).toThrow(/not registered/); + }); + + it('should list all registered types', () => { + const mc = new MindCache(); + mc.registerType('Contact', '#Contact\n* name: name'); + mc.registerType('Note', '#Note\n* content: content'); + + const types = mc.getRegisteredTypes(); + expect(types).toContain('Contact'); + expect(types).toContain('Note'); + expect(types).toHaveLength(2); + }); + + it('should include schema in write tool description for typed keys', () => { + const mc = new MindCache(); + mc.registerType('Contact', ` +#Contact +* name: full name +* email: email address +`); + mc.set_value('john', '', { systemTags: ['LLMWrite'] }); + mc.setType('john', 'Contact'); + + const tools = mc.create_vercel_ai_tools(); + expect(tools['write_john']).toBeDefined(); + expect(tools['write_john'].description).toContain('name: full name'); + expect(tools['write_john'].description).toContain('email: email address'); + }); + + it('should include type info in system prompt for typed keys', () => { + const mc = new MindCache(); + mc.registerType('Contact', ` +#Contact +* name: full name +`); + mc.set_value('john', 'John Doe', { systemTags: ['SystemPrompt', 'LLMWrite'] }); + mc.setType('john', 'Contact'); + + const prompt = mc.get_system_prompt(); + expect(prompt).toContain('john (type: Contact)'); + expect(prompt).toContain('name: full name'); + }); + }); }); diff --git a/packages/mindcache/src/core/MindCache.ts b/packages/mindcache/src/core/MindCache.ts index e62499c..e29c3d0 100644 --- a/packages/mindcache/src/core/MindCache.ts +++ b/packages/mindcache/src/core/MindCache.ts @@ -2,8 +2,9 @@ import * as Y from 'yjs'; import { IndexeddbPersistence } from 'y-indexeddb'; import diff from 'fast-diff'; -import type { KeyAttributes, STM, Listener, GlobalListener, AccessLevel, SystemTag, HistoryEntry, HistoryOptions, ContextRules } from './types'; +import type { KeyAttributes, STM, Listener, GlobalListener, AccessLevel, SystemTag, HistoryEntry, HistoryOptions, ContextRules, CustomTypeDefinition } from './types'; import { DEFAULT_KEY_ATTRIBUTES } from './types'; +import { SchemaParser } from './SchemaParser'; import { MarkdownSerializer } from './MarkdownSerializer'; import { AIToolBuilder } from './AIToolBuilder'; import { TagManager } from './TagManager'; @@ -159,6 +160,9 @@ export class MindCache { private _historyOptions: HistoryOptions = { maxEntries: 100, snapshotInterval: 10 }; private _historyEnabled = false; + // Custom type registry + private _typeRegistry: Map = new Map(); + constructor(options?: MindCacheOptions) { // Initialize Yjs (use provided doc or create new) this.doc = options?.doc || new Y.Doc(); @@ -1373,6 +1377,77 @@ export class MindCache { return TagManager.systemGetKeysByTag(this, tag); } + // ============================================ + // Custom Type Methods + // ============================================ + + /** + * Register a custom type with a markdown schema definition. + * + * Schema format: + * ``` + * #TypeName + * * fieldName: description of the field + * * anotherField: description + * ``` + * + * @param name - Type name (e.g., 'Contact') + * @param schema - Markdown schema definition + * @throws Error if schema format is invalid + */ + registerType(name: string, schema: string): void { + const typeDef = SchemaParser.parse(schema); + // Override name if different from schema header + typeDef.name = name; + this._typeRegistry.set(name, typeDef); + } + + /** + * Assign a custom type to a key. + * The key must exist and the type must be registered. + * + * @param key - Key to assign type to + * @param typeName - Registered type name + * @throws Error if key doesn't exist or type is not registered + */ + setType(key: string, typeName: string): void { + if (!this.rootMap.has(key)) { + throw new Error(`Key "${key}" does not exist`); + } + if (!this._typeRegistry.has(typeName)) { + throw new Error(`Type "${typeName}" is not registered. Use registerType() first.`); + } + this.set_attributes(key, { customType: typeName }); + } + + /** + * Get a registered type schema definition. + * + * @param typeName - Type name to look up + * @returns The type definition or undefined if not registered + */ + getTypeSchema(typeName: string): CustomTypeDefinition | undefined { + return this._typeRegistry.get(typeName); + } + + /** + * Get all registered type names. + */ + getRegisteredTypes(): string[] { + return Array.from(this._typeRegistry.keys()); + } + + /** + * Get the custom type assigned to a key. + * + * @param key - Key to check + * @returns Type name or undefined if no custom type assigned + */ + getKeyType(key: string): string | undefined { + const attrs = this.get_attributes(key); + return attrs?.customType; + } + /** * Helper to get sorted keys (by zIndex). * Respects context filtering when set. diff --git a/packages/mindcache/src/core/SchemaParser.test.ts b/packages/mindcache/src/core/SchemaParser.test.ts new file mode 100644 index 0000000..c2b8cf0 --- /dev/null +++ b/packages/mindcache/src/core/SchemaParser.test.ts @@ -0,0 +1,119 @@ +import { describe, it, expect } from 'vitest'; +import { SchemaParser } from './SchemaParser'; + +describe('SchemaParser', () => { + describe('parse', () => { + it('should parse a valid schema', () => { + const schema = ` +#Contact +* name: full name +* birthday: in YYYY-MM-DD format +* email: multiple emails if needed ";" +`; + const result = SchemaParser.parse(schema); + + expect(result.name).toBe('Contact'); + expect(result.fields).toHaveLength(3); + expect(result.fields[0]).toEqual({ name: 'name', description: 'full name' }); + expect(result.fields[1]).toEqual({ name: 'birthday', description: 'in YYYY-MM-DD format' }); + expect(result.fields[2]).toEqual({ name: 'email', description: 'multiple emails if needed ";"' }); + expect(result.rawSchema).toBe(schema); + }); + + it('should handle schema without leading newline', () => { + const schema = `#Note +* content: the main content +* tags: comma separated tags`; + const result = SchemaParser.parse(schema); + + expect(result.name).toBe('Note'); + expect(result.fields).toHaveLength(2); + }); + + it('should handle type name with space after #', () => { + const schema = `# Person +* name: full name`; + const result = SchemaParser.parse(schema); + + expect(result.name).toBe('Person'); + }); + + it('should throw on empty schema', () => { + expect(() => SchemaParser.parse('')).toThrow('Schema cannot be empty'); + expect(() => SchemaParser.parse(' \n ')).toThrow('Schema cannot be empty'); + }); + + it('should throw on invalid header format', () => { + expect(() => SchemaParser.parse('Contact\n* name: x')).toThrow('first line must be "#TypeName"'); + expect(() => SchemaParser.parse('##Contact\n* name: x')).toThrow('first line must be "#TypeName"'); + }); + + it('should throw if no fields defined', () => { + expect(() => SchemaParser.parse('#Empty')).toThrow('must have at least one field'); + expect(() => SchemaParser.parse('#NoFields\nsome random text')).toThrow('must have at least one field'); + }); + + it('should skip non-field lines', () => { + const schema = `#Type +Some description text +* field1: value +Another comment +* field2: value`; + const result = SchemaParser.parse(schema); + + expect(result.fields).toHaveLength(2); + }); + }); + + describe('toMarkdown', () => { + it('should convert type definition back to markdown', () => { + const typeDef = { + name: 'Contact', + fields: [ + { name: 'name', description: 'full name' }, + { name: 'email', description: 'email address' } + ], + rawSchema: '' + }; + + const markdown = SchemaParser.toMarkdown(typeDef); + expect(markdown).toBe('#Contact\n* name: full name\n* email: email address'); + }); + }); + + describe('toPromptDescription', () => { + it('should generate verbose description for LLM', () => { + const typeDef = { + name: 'Contact', + fields: [ + { name: 'name', description: 'full name' }, + { name: 'email', description: 'email address' } + ], + rawSchema: '' + }; + + const desc = SchemaParser.toPromptDescription(typeDef); + expect(desc).toContain('Type "Contact"'); + expect(desc).toContain('- name: full name'); + expect(desc).toContain('- email: email address'); + }); + }); + + describe('generateExample', () => { + it('should generate example value structure', () => { + const typeDef = { + name: 'Contact', + fields: [ + { name: 'name', description: 'full name' }, + { name: 'email', description: 'email address' } + ], + rawSchema: '' + }; + + const example = SchemaParser.generateExample(typeDef); + expect(example).toContain('#contact'); + expect(example).toContain('* name: [full name]'); + expect(example).toContain('* email: [email address]'); + }); + }); +}); diff --git a/packages/mindcache/src/core/SchemaParser.ts b/packages/mindcache/src/core/SchemaParser.ts new file mode 100644 index 0000000..5ad13a0 --- /dev/null +++ b/packages/mindcache/src/core/SchemaParser.ts @@ -0,0 +1,90 @@ +import { CustomTypeDefinition, CustomTypeField } from './types'; + +/** + * Parses markdown-based schema definitions into structured CustomTypeDefinition objects. + * + * Schema format: + * ``` + * #TypeName + * * fieldName: description of the field + * * anotherField: description + * ``` + */ +export class SchemaParser { + /** + * Parse a markdown schema string into a CustomTypeDefinition + * @param schema - Markdown schema string + * @returns Parsed type definition + * @throws Error if schema format is invalid + */ + static parse(schema: string): CustomTypeDefinition { + const lines = schema.trim().split('\n').map(line => line.trim()).filter(line => line.length > 0); + + if (lines.length === 0) { + throw new Error('Schema cannot be empty'); + } + + // Parse type name from first line (format: #TypeName or # TypeName) + const typeNameMatch = lines[0].match(/^#\s*(\w+)$/); + if (!typeNameMatch) { + throw new Error(`Invalid schema: first line must be "#TypeName", got "${lines[0]}"`); + } + const typeName = typeNameMatch[1]; + + // Parse fields from remaining lines (format: * fieldName: description) + const fields: CustomTypeField[] = []; + for (let i = 1; i < lines.length; i++) { + const line = lines[i]; + const fieldMatch = line.match(/^\*\s*([^:]+):\s*(.+)$/); + if (fieldMatch) { + fields.push({ + name: fieldMatch[1].trim(), + description: fieldMatch[2].trim() + }); + } + // Skip lines that don't match the field pattern (allows for comments/blank lines) + } + + if (fields.length === 0) { + throw new Error(`Schema "${typeName}" must have at least one field`); + } + + return { + name: typeName, + fields, + rawSchema: schema + }; + } + + /** + * Generate a markdown representation of a type definition + * Useful for including in LLM prompts + */ + static toMarkdown(typeDef: CustomTypeDefinition): string { + const lines = [`#${typeDef.name}`]; + for (const field of typeDef.fields) { + lines.push(`* ${field.name}: ${field.description}`); + } + return lines.join('\n'); + } + + /** + * Generate a prompt-friendly description of the type + * More verbose than toMarkdown, better for LLM guidance + */ + static toPromptDescription(typeDef: CustomTypeDefinition): string { + const fieldDescs = typeDef.fields.map(f => ` - ${f.name}: ${f.description}`).join('\n'); + return `Type "${typeDef.name}" with fields:\n${fieldDescs}`; + } + + /** + * Generate an example value structure based on the type definition + */ + static generateExample(typeDef: CustomTypeDefinition): string { + const lines = [`#${typeDef.name.toLowerCase()}`]; + for (const field of typeDef.fields) { + lines.push(`* ${field.name}: [${field.description}]`); + } + return lines.join('\n'); + } +} diff --git a/packages/mindcache/src/core/index.ts b/packages/mindcache/src/core/index.ts index c25e9b4..d58605c 100644 --- a/packages/mindcache/src/core/index.ts +++ b/packages/mindcache/src/core/index.ts @@ -1,4 +1,5 @@ export { MindCache } from './MindCache'; +export { SchemaParser } from './SchemaParser'; export type { MindCacheOptions, MindCacheCloudOptions, MindCacheIndexedDBOptions } from './MindCache'; export * from './types'; diff --git a/packages/mindcache/src/core/types.ts b/packages/mindcache/src/core/types.ts index 3c769ca..b2a0417 100644 --- a/packages/mindcache/src/core/types.ts +++ b/packages/mindcache/src/core/types.ts @@ -33,6 +33,28 @@ export type SystemTag = 'SystemPrompt' | 'LLMRead' | 'LLMWrite' | 'ApplyTemplate */ export type KeyType = 'text' | 'image' | 'file' | 'json' | 'document'; +/** + * A field in a custom type definition + */ +export interface CustomTypeField { + /** Field name */ + name: string; + /** Human-readable description of the field */ + description: string; +} + +/** + * A parsed custom type definition + */ +export interface CustomTypeDefinition { + /** Type name (e.g., 'Contact') */ + name: string; + /** Fields that make up this type */ + fields: CustomTypeField[]; + /** Original markdown schema */ + rawSchema: string; +} + /** * Attributes that can be set on a MindCache key */ @@ -47,6 +69,8 @@ export interface KeyAttributes { systemTags: SystemTag[]; /** Z-index for ordering keys (lower values appear first) */ zIndex: number; + /** Custom type name (registered via registerType) */ + customType?: string; } /** diff --git a/packages/mindcache/src/index.ts b/packages/mindcache/src/index.ts index ae0d53d..5d29961 100644 --- a/packages/mindcache/src/index.ts +++ b/packages/mindcache/src/index.ts @@ -21,9 +21,11 @@ export type { HistoryOptions, MindCacheOptions, MindCacheCloudOptions, - MindCacheIndexedDBOptions + MindCacheIndexedDBOptions, + CustomTypeDefinition, + CustomTypeField } from './core'; -export { DEFAULT_KEY_ATTRIBUTES, SystemTagHelpers } from './core'; +export { DEFAULT_KEY_ATTRIBUTES, SystemTagHelpers, SchemaParser } from './core'; // Cloud exports (for advanced usage) export { CloudAdapter } from './cloud'; From 38e66ebaf8c1b000d6b1ee48cd057060ffe41ac7 Mon Sep 17 00:00:00 2001 From: dh Date: Thu, 15 Jan 2026 00:21:21 +0100 Subject: [PATCH 2/8] feat: Enhance OAuthClient with improved error handling and validation - Made baseUrl a required field in OAuthClient, removing the default value. - Added clear error messages with examples for missing baseUrl. - Implemented URL format validation and domain warnings. - Added API ping on initialization to check endpoint accessibility. - Updated tokenProvider to fetch WebSocket tokens from /api/ws-token. - Introduced accessTokenProvider for raw OAuth token access. - Updated documentation to reflect new baseUrl requirements. --- examples/contact_extractor/README.md | 82 + examples/contact_extractor/env.example | 2 + examples/contact_extractor/next-env.d.ts | 6 + examples/contact_extractor/next.config.js | 9 + examples/contact_extractor/package-lock.json | 2262 +++++++++++++++++ examples/contact_extractor/package.json | 30 + examples/contact_extractor/postcss.config.js | 6 + .../src/app/api/extract/route.ts | 47 + .../contact_extractor/src/app/globals.css | 69 + examples/contact_extractor/src/app/layout.tsx | 21 + examples/contact_extractor/src/app/page.tsx | 277 ++ examples/contact_extractor/tailwind.config.js | 15 + examples/contact_extractor/tsconfig.json | 40 + 13 files changed, 2866 insertions(+) create mode 100644 examples/contact_extractor/README.md create mode 100644 examples/contact_extractor/env.example create mode 100644 examples/contact_extractor/next-env.d.ts create mode 100644 examples/contact_extractor/next.config.js create mode 100644 examples/contact_extractor/package-lock.json create mode 100644 examples/contact_extractor/package.json create mode 100644 examples/contact_extractor/postcss.config.js create mode 100644 examples/contact_extractor/src/app/api/extract/route.ts create mode 100644 examples/contact_extractor/src/app/globals.css create mode 100644 examples/contact_extractor/src/app/layout.tsx create mode 100644 examples/contact_extractor/src/app/page.tsx create mode 100644 examples/contact_extractor/tailwind.config.js create mode 100644 examples/contact_extractor/tsconfig.json diff --git a/examples/contact_extractor/README.md b/examples/contact_extractor/README.md new file mode 100644 index 0000000..4dbfa36 --- /dev/null +++ b/examples/contact_extractor/README.md @@ -0,0 +1,82 @@ +# Contact Extractor + +A simple example demonstrating MindCache's custom type system with AI-powered contact extraction. + +## Features + +- **Drop Zone**: Drag and drop text files or paste content directly +- **AI Extraction**: Uses OpenAI to extract contact information from any content +- **Custom Types**: Contacts are stored using MindCache's new `registerType()` feature +- **Real-time Updates**: Contact cards update instantly via MindCache subscriptions + +## MindCache Custom Type + +This example registers a `Contact` type with the following schema: + +```markdown +#Contact +* name: full name of the contact +* email: email address +* phone: phone number +* company: company or organization +* role: job title or role +* notes: any additional notes +``` + +## Setup + +1. Copy the environment file: + ```bash + cp env.example .env.local + ``` + +2. Add your OpenAI API key to `.env.local` + +3. Install dependencies: + ```bash + npm install + ``` + +4. Run the development server: + ```bash + npm run dev + ``` + +5. Open [http://localhost:3000](http://localhost:3000) + +## Usage + +1. Paste or drop any content containing contact information: + - Email signatures + - Business cards (text) + - Contact lists + - Meeting notes + - Any text with names, emails, phones, etc. + +2. Click "Extract Contacts" or drop content directly + +3. View extracted contacts as cards on the right panel + +## How It Works + +```typescript +// Register the Contact type +mc.registerType('Contact', ` +#Contact +* name: full name of the contact +* email: email address +... +`); + +// Create a contact and assign the type +mc.set_value('contact_123', JSON.stringify(contact), { systemTags: ['LLMWrite'] }); +mc.setType('contact_123', 'Contact'); + +// Query contacts by type +for (const key of mc.keys()) { + if (mc.getKeyType(key) === 'Contact') { + const contact = JSON.parse(mc.get_value(key)); + // ... + } +} +``` diff --git a/examples/contact_extractor/env.example b/examples/contact_extractor/env.example new file mode 100644 index 0000000..8772d73 --- /dev/null +++ b/examples/contact_extractor/env.example @@ -0,0 +1,2 @@ +# OpenAI API Key for contact extraction +OPENAI_API_KEY=sk-... diff --git a/examples/contact_extractor/next-env.d.ts b/examples/contact_extractor/next-env.d.ts new file mode 100644 index 0000000..830fb59 --- /dev/null +++ b/examples/contact_extractor/next-env.d.ts @@ -0,0 +1,6 @@ +/// +/// +/// + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/app/api-reference/config/typescript for more information. diff --git a/examples/contact_extractor/next.config.js b/examples/contact_extractor/next.config.js new file mode 100644 index 0000000..1713e9d --- /dev/null +++ b/examples/contact_extractor/next.config.js @@ -0,0 +1,9 @@ +/** @type {import('next').NextConfig} */ +const path = require('path'); + +const nextConfig = { + reactStrictMode: true, + outputFileTracingRoot: path.join(__dirname), +} + +module.exports = nextConfig diff --git a/examples/contact_extractor/package-lock.json b/examples/contact_extractor/package-lock.json new file mode 100644 index 0000000..d6243ee --- /dev/null +++ b/examples/contact_extractor/package-lock.json @@ -0,0 +1,2262 @@ +{ + "name": "contact-extractor", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "contact-extractor", + "version": "0.1.0", + "dependencies": { + "@ai-sdk/openai": "^2.0.30", + "ai": "^5.0.45", + "lucide-react": "^0.511.0", + "mindcache": "file:../../packages/mindcache", + "next": "^15.5.7", + "react": "^19", + "react-dom": "^19", + "zod": "^4.1.9" + }, + "devDependencies": { + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "autoprefixer": "^10.0.1", + "postcss": "^8", + "tailwindcss": "^3.3.0", + "typescript": "^5.3.0" + } + }, + "../../packages/mindcache": { + "version": "3.5.0", + "license": "MIT", + "dependencies": { + "fast-diff": "^1.3.0", + "lib0": "^0.2.115", + "y-indexeddb": "^9.0.12", + "y-protocols": "^1.0.7", + "yjs": "^13.6.28", + "zod": "^3.23.0" + }, + "devDependencies": { + "@types/node": "^20.0.0", + "@types/react": "^19.2.7", + "@typescript-eslint/eslint-plugin": "^6.21.0", + "@typescript-eslint/parser": "^6.21.0", + "eslint": "^8.57.0", + "tsup": "^8.0.0", + "typescript": "^5.0.0", + "vitest": "^2.1.9" + }, + 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"lint": "next lint" + }, + "dependencies": { + "@ai-sdk/openai": "^2.0.30", + "ai": "^5.0.45", + "lucide-react": "^0.511.0", + "mindcache": "file:../../packages/mindcache", + "next": "^15.5.7", + "react": "^19", + "react-dom": "^19", + "zod": "^4.1.9" + }, + "devDependencies": { + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "autoprefixer": "^10.0.1", + "postcss": "^8", + "tailwindcss": "^3.3.0", + "typescript": "^5.3.0" + } +} diff --git a/examples/contact_extractor/postcss.config.js b/examples/contact_extractor/postcss.config.js new file mode 100644 index 0000000..33ad091 --- /dev/null +++ b/examples/contact_extractor/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/examples/contact_extractor/src/app/api/extract/route.ts b/examples/contact_extractor/src/app/api/extract/route.ts new file mode 100644 index 0000000..17f52e0 --- /dev/null +++ b/examples/contact_extractor/src/app/api/extract/route.ts @@ -0,0 +1,47 @@ +import { openai } from '@ai-sdk/openai'; +import { generateObject } from 'ai'; +import { z } from 'zod'; + +// Contact schema matching our MindCache custom type +const ContactSchema = z.object({ + name: z.string().describe('Full name of the contact'), + email: z.string().optional().describe('Email address'), + phone: z.string().optional().describe('Phone number'), + company: z.string().optional().describe('Company or organization'), + role: z.string().optional().describe('Job title or role'), + notes: z.string().optional().describe('Any additional notes or context'), +}); + +const ExtractedContactsSchema = z.object({ + contacts: z.array(ContactSchema).describe('List of extracted contacts'), +}); + +export async function POST(request: Request) { + try { + const { content } = await request.json(); + + if (!content || typeof content !== 'string') { + return Response.json({ error: 'Content is required' }, { status: 400 }); + } + + const { object } = await generateObject({ + model: openai('gpt-4o-mini'), + schema: ExtractedContactsSchema, + prompt: `Extract all contact information from the following content. +Look for names, email addresses, phone numbers, company names, job titles, and any relevant notes. +If information is missing, omit that field rather than guessing. +Extract as many contacts as you can find. + +Content: +${content}`, + }); + + return Response.json({ contacts: object.contacts }); + } catch (error) { + console.error('Extraction error:', error); + return Response.json( + { error: 'Failed to extract contacts' }, + { status: 500 } + ); + } +} diff --git a/examples/contact_extractor/src/app/globals.css b/examples/contact_extractor/src/app/globals.css new file mode 100644 index 0000000..20bd83d --- /dev/null +++ b/examples/contact_extractor/src/app/globals.css @@ -0,0 +1,69 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@import url('https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500&display=swap'); + +:root { + --bg-primary: #0a0a0f; + --bg-secondary: #12121a; + --bg-card: #1a1a24; + --accent: #6366f1; + --accent-glow: rgba(99, 102, 241, 0.3); + --text-primary: #f8fafc; + --text-secondary: #94a3b8; + --border: #2a2a3a; +} + +body { + background: var(--bg-primary); + color: var(--text-primary); +} + +.drop-zone { + border: 2px dashed var(--border); + transition: all 0.3s ease; +} + +.drop-zone.drag-over { + border-color: var(--accent); + background: var(--accent-glow); +} + +.contact-card { + background: var(--bg-card); + border: 1px solid var(--border); + transition: all 0.2s ease; +} + +.contact-card:hover { + border-color: var(--accent); + transform: translateY(-2px); + box-shadow: 0 8px 32px rgba(99, 102, 241, 0.15); +} + +.scrollbar-thin::-webkit-scrollbar { + width: 6px; +} + +.scrollbar-thin::-webkit-scrollbar-track { + background: var(--bg-secondary); +} + +.scrollbar-thin::-webkit-scrollbar-thumb { + background: var(--border); + border-radius: 3px; +} + +.scrollbar-thin::-webkit-scrollbar-thumb:hover { + background: var(--accent); +} + +@keyframes pulse-glow { + 0%, 100% { box-shadow: 0 0 20px var(--accent-glow); } + 50% { box-shadow: 0 0 40px var(--accent-glow); } +} + +.processing { + animation: pulse-glow 2s ease-in-out infinite; +} diff --git a/examples/contact_extractor/src/app/layout.tsx b/examples/contact_extractor/src/app/layout.tsx new file mode 100644 index 0000000..07c2d73 --- /dev/null +++ b/examples/contact_extractor/src/app/layout.tsx @@ -0,0 +1,21 @@ +import type { Metadata } from 'next' +import './globals.css' + +export const metadata: Metadata = { + title: 'Contact Extractor - MindCache', + description: 'Extract contacts from any content using AI and MindCache custom types', +} + +export default function RootLayout({ + children, +}: { + children: React.ReactNode +}) { + return ( + + + {children} + + + ) +} diff --git a/examples/contact_extractor/src/app/page.tsx b/examples/contact_extractor/src/app/page.tsx new file mode 100644 index 0000000..d7e7166 --- /dev/null +++ b/examples/contact_extractor/src/app/page.tsx @@ -0,0 +1,277 @@ +"use client"; + +import { useState, useEffect, useRef, useCallback } from 'react'; +import { MindCache } from 'mindcache'; +import { Upload, User, Mail, Phone, Building, Briefcase, FileText, Trash2, Sparkles } from 'lucide-react'; + +// Contact type schema (matching our MindCache custom type) +const CONTACT_SCHEMA = ` +#Contact +* name: full name of the contact +* email: email address +* phone: phone number +* company: company or organization +* role: job title or role +* notes: any additional notes +`; + +interface Contact { + name: string; + email?: string; + phone?: string; + company?: string; + role?: string; + notes?: string; +} + +export default function Home() { + const [contacts, setContacts] = useState>(new Map()); + const [isDragOver, setIsDragOver] = useState(false); + const [isProcessing, setIsProcessing] = useState(false); + const [inputText, setInputText] = useState(''); + const mindCacheRef = useRef(null); + + // Initialize MindCache with Contact type + useEffect(() => { + const mc = new MindCache(); + mc.registerType('Contact', CONTACT_SCHEMA); + mindCacheRef.current = mc; + + // Subscribe to all changes + const unsubscribe = mc.subscribeToAll(() => { + const newContacts = new Map(); + for (const key of mc.keys()) { + if (mc.getKeyType(key) === 'Contact') { + const value = mc.get_value(key); + if (value) { + try { + const parsed = typeof value === 'string' ? JSON.parse(value) : value; + newContacts.set(key, parsed); + } catch { + // Skip invalid entries + } + } + } + } + setContacts(newContacts); + }); + + return () => unsubscribe(); + }, []); + + const extractContacts = async (content: string) => { + if (!content.trim()) return; + + setIsProcessing(true); + try { + const response = await fetch('/api/extract', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ content }), + }); + + if (!response.ok) throw new Error('Extraction failed'); + + const { contacts: extracted } = await response.json(); + const mc = mindCacheRef.current; + if (!mc || !extracted?.length) return; + + // Add each extracted contact to MindCache + for (const contact of extracted) { + const key = `contact_${Date.now()}_${Math.random().toString(36).slice(2, 8)}`; + mc.set_value(key, JSON.stringify(contact), { systemTags: ['LLMWrite'] }); + mc.setType(key, 'Contact'); + } + + setInputText(''); + } catch (error) { + console.error('Failed to extract contacts:', error); + alert('Failed to extract contacts. Make sure OPENAI_API_KEY is set.'); + } finally { + setIsProcessing(false); + } + }; + + const handleDrop = useCallback(async (e: React.DragEvent) => { + e.preventDefault(); + setIsDragOver(false); + + const files = Array.from(e.dataTransfer.files); + const textFile = files.find(f => f.type.startsWith('text/') || f.name.endsWith('.txt') || f.name.endsWith('.md')); + + if (textFile) { + const text = await textFile.text(); + extractContacts(text); + } else if (e.dataTransfer.getData('text')) { + extractContacts(e.dataTransfer.getData('text')); + } + }, []); + + const handlePaste = useCallback((e: React.ClipboardEvent) => { + const text = e.clipboardData.getData('text'); + if (text) { + setInputText(text); + } + }, []); + + const deleteContact = (key: string) => { + mindCacheRef.current?.delete_key(key); + }; + + const clearAll = () => { + const mc = mindCacheRef.current; + if (!mc) return; + for (const key of mc.keys()) { + if (mc.getKeyType(key) === 'Contact') { + mc.delete_key(key); + } + } + }; + + return ( +
+ {/* Left Panel - Drop Zone */} +
+
+

+ + Contact Extractor +

+

+ Drop or paste any content to extract contacts using AI +

+
+ +
{ e.preventDefault(); setIsDragOver(true); }} + onDragLeave={() => setIsDragOver(false)} + onDrop={handleDrop} + > + {isProcessing ? ( +
+
+

Extracting contacts...

+
+ ) : ( + <> + +

Drop files or paste content here

+

+ Supports text files, emails, business cards, etc. +

+ + )} +
+ +
+