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fix: Make schema fields with defaults optional and fix AI example TypeScript errors
Co-authored-by: huangyiirene <7665279+huangyiirene@users.noreply.github.com>
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‎examples/ai-analyst/src/ai-config.d.ts‎

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import type { Agent, NLQModelConfig, QueryTemplate } from '@objectstack/spec';
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/**
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* AI Data Analyst Agent
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*/
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export declare const DataAnalystAgent: Agent;
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/**
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* NLQ Configuration for Business Intelligence
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*/
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export declare const AnalystNLQConfig: NLQModelConfig;
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/**
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* Common Query Templates
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*/
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export declare const AnalystQueryTemplates: QueryTemplate[];
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//# sourceMappingURL=ai-config.d.ts.map

‎examples/ai-analyst/src/ai-config.d.ts.map‎

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‎examples/ai-analyst/src/ai-config.js‎

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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.AnalystQueryTemplates = exports.AnalystNLQConfig = exports.DataAnalystAgent = void 0;
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/**
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* AI Data Analyst Agent
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*/
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exports.DataAnalystAgent = {
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name: 'data_analyst_ai',
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label: 'AI Data Analyst',
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role: 'Business Intelligence Analyst',
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instructions: `You are a data analyst helping users understand their business metrics.
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Skills:
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- Interpret natural language questions about data
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- Generate ObjectQL queries
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- Create visualizations
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- Provide actionable insights
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Be precise, data-driven, and clear in explanations.`,
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model: {
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provider: 'openai',
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model: 'gpt-4',
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temperature: 0.3,
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maxTokens: 4096,
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},
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tools: [
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{
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type: 'query',
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name: 'execute_objectql',
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description: 'Execute ObjectQL queries on data',
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},
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{
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type: 'action',
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name: 'create_dashboard',
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description: 'Generate dashboard from metrics',
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},
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{
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type: 'action',
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name: 'generate_chart',
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description: 'Create charts and visualizations',
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},
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{
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type: 'query',
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name: 'get_schema',
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description: 'Get object schema information',
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},
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],
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access: ['analysts', 'executives', 'managers'],
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active: true,
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};
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/**
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* NLQ Configuration for Business Intelligence
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*/
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exports.AnalystNLQConfig = {
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modelId: 'gpt-4',
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systemPrompt: `You are an expert at converting business questions into ObjectQL queries.
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Available objects: account, opportunity, task, product, order
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Be precise with field names and support timeframes like "last quarter", "this year".`,
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includeSchema: true,
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includeExamples: true,
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enableIntentDetection: true,
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intentThreshold: 0.75,
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enableEntityRecognition: true,
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enableFuzzyMatching: true,
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fuzzyMatchThreshold: 0.85,
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enableTimeframeDetection: true,
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defaultTimeframe: 'current_month',
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enableCaching: true,
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cacheTTL: 3600,
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};
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/**
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* Common Query Templates
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*/
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exports.AnalystQueryTemplates = [
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{
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id: 'top-n-by-field',
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name: 'top_n_by_field',
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label: 'Top N Records by Field',
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pattern: 'top {n} {object} by {field}',
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variables: [
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{ name: 'n', type: 'value', required: true },
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{ name: 'object', type: 'object', required: true },
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{ name: 'field', type: 'field', required: true },
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],
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astTemplate: {
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object: '{object}',
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sort: [{ field: '{field}', order: 'desc' }],
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limit: '{n}',
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},
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category: 'ranking',
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examples: [
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'top 10 accounts by revenue',
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'top 5 products by sales',
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],
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},
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{
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id: 'aggregate-by-group',
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name: 'aggregate_by_group',
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label: 'Aggregate by Group',
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pattern: 'total {field} by {group_field}',
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variables: [
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{ name: 'field', type: 'field', required: true },
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{ name: 'group_field', type: 'field', required: true },
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],
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astTemplate: {
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fields: [
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'{group_field}',
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{ function: 'sum', field: '{field}', alias: 'total' },
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],
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groupBy: ['{group_field}'],
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},
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category: 'aggregation',
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examples: [
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'total revenue by region',
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'total orders by product',
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],
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},
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{
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id: 'time-comparison',
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name: 'time_comparison',
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label: 'Time Period Comparison',
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pattern: 'compare {metric} for {period1} vs {period2}',
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variables: [
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{ name: 'metric', type: 'field', required: true },
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{ name: 'period1', type: 'timeframe', required: true },
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{ name: 'period2', type: 'timeframe', required: true },
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],
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astTemplate: {
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// Complex comparison logic
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},
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category: 'comparison',
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examples: [
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'compare revenue for this month vs last month',
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'compare sales for Q1 vs Q2',
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],
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},
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];

‎examples/ai-analyst/tsconfig.json‎

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{
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"extends": "../../tsconfig.json",
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"compilerOptions": {
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"outDir": "dist",
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"rootDir": "src"
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},
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"include": ["src/**/*"],
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"exclude": ["node_modules", "dist"]
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}

‎examples/ai-codegen/src/ai-config.d.ts‎

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import type { Agent, ModelRegistry, RAGPipelineConfig } from '@objectstack/spec';
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/**
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* ObjectStack Code Generator Agent
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*/
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export declare const CodeGenAgent: Agent;
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/**
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* Code Generation Model Registry
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*/
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export declare const CodeGenModelRegistry: ModelRegistry;
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/**
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* RAG for ObjectStack Documentation
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*/
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export declare const ObjectStackDocsRAG: RAGPipelineConfig;
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//# sourceMappingURL=ai-config.d.ts.map

‎examples/ai-codegen/src/ai-config.d.ts.map‎

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‎examples/ai-codegen/src/ai-config.js‎

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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.ObjectStackDocsRAG = exports.CodeGenModelRegistry = exports.CodeGenAgent = void 0;
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/**
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* ObjectStack Code Generator Agent
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*/
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exports.CodeGenAgent = {
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name: 'objectstack_code_generator',
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label: 'ObjectStack Code Generator',
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role: 'Senior ObjectStack Developer',
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instructions: `You are an expert ObjectStack developer who generates high-quality applications.
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Rules:
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1. Follow ObjectStack naming conventions (camelCase for props, snake_case for names)
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2. Generate complete, production-ready code
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3. Include validation rules and indexes
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4. Create appropriate views and forms
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5. Follow best practices from the knowledge base
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Always validate generated code before returning.`,
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model: {
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provider: 'openai',
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model: 'gpt-4-turbo-preview',
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temperature: 0.3,
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maxTokens: 8192,
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},
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tools: [
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{
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type: 'action',
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name: 'generate_object',
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description: 'Generate ObjectStack object definition',
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},
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{
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type: 'action',
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name: 'generate_field',
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description: 'Generate field definition',
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},
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{
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type: 'action',
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name: 'generate_view',
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description: 'Generate view configuration',
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},
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{
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type: 'action',
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name: 'validate_schema',
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description: 'Validate generated schema',
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},
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{
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type: 'vector_search',
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name: 'search_examples',
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description: 'Search example applications',
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},
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],
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knowledge: {
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topics: [
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'objectstack_protocol',
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'best_practices',
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'code_examples',
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'design_patterns',
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],
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indexes: ['objectstack_knowledge'],
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},
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active: true,
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};
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/**
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* Code Generation Model Registry
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*/
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exports.CodeGenModelRegistry = {
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name: 'code_generation_registry',
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models: {
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'gpt-4-turbo': {
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model: {
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id: 'gpt-4-turbo',
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name: 'GPT-4 Turbo',
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version: 'gpt-4-turbo-2024-04-09',
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provider: 'openai',
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capabilities: {
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textGeneration: true,
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textEmbedding: false,
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imageGeneration: false,
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imageUnderstanding: false,
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functionCalling: false,
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codeGeneration: true,
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reasoning: true,
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},
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limits: {
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maxTokens: 8192,
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contextWindow: 128000,
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},
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recommendedFor: ['code_generation', 'complex_reasoning'],
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deprecated: false,
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},
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status: 'active',
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priority: 10,
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},
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},
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promptTemplates: {
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object_generator: {
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id: 'object-gen-v1',
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name: 'object_generator',
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label: 'Object Generator',
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version: '1.0.0',
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system: `You are an expert at generating ObjectStack object definitions.
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Generate valid TypeScript code following ObjectStack Protocol.
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Use camelCase for configuration properties, snake_case for name identifiers.`,
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user: `Generate an ObjectStack object for: {{description}}
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Requirements:
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{{requirements}}
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Include:
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- Field definitions with proper types
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- Validation rules if needed
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- Indexes for performance
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- Enable appropriate features`,
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variables: [
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{ name: 'description', type: 'string', required: true },
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{ name: 'requirements', type: 'string', required: false },
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],
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modelId: 'gpt-4-turbo',
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temperature: 0.3,
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category: 'code_generation',
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},
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},
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defaultModel: 'gpt-4-turbo',
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enableAutoFallback: true,
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};
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/**
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* RAG for ObjectStack Documentation
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*/
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exports.ObjectStackDocsRAG = {
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name: 'objectstack_documentation',
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label: 'ObjectStack Documentation RAG',
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description: 'RAG pipeline for ObjectStack protocol docs and examples',
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embedding: {
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provider: 'openai',
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model: 'text-embedding-3-large',
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dimensions: 3072,
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batchSize: 100,
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},
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vectorStore: {
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provider: 'pinecone',
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indexName: 'objectstack-docs',
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dimensions: 3072,
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metric: 'cosine',
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batchSize: 100,
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connectionPoolSize: 10,
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timeout: 30000,
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},
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chunking: {
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type: 'markdown',
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maxChunkSize: 1500,
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respectHeaders: true,
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respectCodeBlocks: true,
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},
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retrieval: {
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type: 'similarity',
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topK: 5,
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scoreThreshold: 0.7,
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},
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maxContextTokens: 8000,
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enableCache: true,
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cacheTTL: 7200,
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};

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