UNPKG

multimind-sdk

Version:

This SDK gives JavaScript/TypeScript developers full access to advanced AI features like agent orchestration, RAG, and fine-tuning — without needing to manage backend code.

311 lines 11.3 kB
// Bridge exports export * from './bridge/multimind-bridge.js'; // Core functionality exports export * from './agent.js'; export * from './fineTune.js'; export * from './rag.js'; export * from './adapters.js'; export * from './evaluation.js'; export * from './models.js'; // Advanced functionality exports (explicit, to avoid type conflicts) export { advancedFineTune, createAdvancedTuner } from './advancedFineTuning.js'; export { AdvancedRAGClient } from './advancedRAG.js'; export { ModelConverter, pytorchToONNX, tensorflowToTFLite, pytorchToGGUF } from './modelConversion.js'; export { ComplianceMonitor } from './compliance.js'; export { AdvancedAgent, builtInTools } from './advancedAgent.js'; export { LSTMModelClient, MoEModelClient, MultiModalClient, FederatedRouter, createLoadBalancedRouter, createIntelligentRouter } from './modelClientSystem.js'; export { MultiMindGateway, RequestMiddleware, ResponseMiddleware } from './gateway.js'; // Context Transfer exports export { ContextTransferManager, ContextTransferAPI, quickTransfer, getAllModels, validateConversation } from './contextTransfer.js'; // Main SDK class for easier usage import { initBridge, closeBridge } from './bridge/multimind-bridge.js'; import { generateWithAgent, createAgent } from './agent.js'; import { fineTuneModel, createFineTuner } from './fineTune.js'; import { queryRAG, createRAGEngine } from './rag.js'; import { loadAdapter, listAdapters, removeAdapter } from './adapters.js'; import { evaluateModel, compareModels } from './evaluation.js'; import { loadModel, routeModel, listAvailableModels } from './models.js'; // Advanced imports import { advancedFineTune, createAdvancedTuner } from './advancedFineTuning.js'; import { AdvancedRAGClient } from './advancedRAG.js'; import { ModelConverter, pytorchToONNX, tensorflowToTFLite, pytorchToGGUF } from './modelConversion.js'; import { ComplianceMonitor } from './compliance.js'; import { AdvancedAgent, builtInTools } from './advancedAgent.js'; import { LSTMModelClient, MoEModelClient, MultiModalClient, FederatedRouter } from './modelClientSystem.js'; import { MultiMindGateway } from './gateway.js'; // Context Transfer imports import { ContextTransferManager, ContextTransferAPI, quickTransfer } from './contextTransfer.js'; export class MultiMindSDK { constructor() { this.initialized = false; } async initialize() { if (!this.initialized) { await initBridge(); this.initialized = true; } } async close() { if (this.initialized) { await closeBridge(); this.initialized = false; } } // ===== BASIC FUNCTIONALITY ===== // Agent methods async generateWithAgent(prompt, config = {}) { await this.initialize(); return generateWithAgent(prompt, config); } async createAgent(config = {}) { await this.initialize(); return createAgent(config); } // Fine-tuning methods async fineTuneModel(config) { await this.initialize(); return fineTuneModel(config); } async createFineTuner(config) { await this.initialize(); return createFineTuner(config); } // RAG methods async queryRAG(prompt, config) { await this.initialize(); return queryRAG(prompt, config); } async createRAGEngine(config) { await this.initialize(); return createRAGEngine(config); } // Adapter methods async loadAdapter(config) { await this.initialize(); return loadAdapter(config); } async listAdapters(model) { await this.initialize(); return listAdapters(model); } async removeAdapter(model, adapterPath) { await this.initialize(); return removeAdapter(model, adapterPath); } // Evaluation methods async evaluateModel(config) { await this.initialize(); return evaluateModel(config); } async compareModels(models, task, dataset) { await this.initialize(); return compareModels(models, task, dataset); } // Model methods async loadModel(config) { await this.initialize(); return loadModel(config); } async routeModel(input, availableModels) { await this.initialize(); return routeModel(input, availableModels); } async listAvailableModels() { await this.initialize(); return listAvailableModels(); } // ===== ADVANCED FUNCTIONALITY ===== // Advanced Fine-tuning async advancedFineTune(config) { await this.initialize(); return advancedFineTune(config); } async createAdvancedTuner(config) { await this.initialize(); return createAdvancedTuner(config); } // Advanced RAG async createAdvancedRAG(config = {}) { await this.initialize(); if (!this.advancedRAG) { this.advancedRAG = new AdvancedRAGClient(config); await this.advancedRAG.initialize(); } return this.advancedRAG; } async addDocumentsToRAG(documents) { const rag = await this.createAdvancedRAG(); return rag.addDocuments(documents); } async queryAdvancedRAG(config) { const rag = await this.createAdvancedRAG(); return rag.query(config); } // Model Conversion async createModelConverter() { await this.initialize(); if (!this.modelConverter) { this.modelConverter = new ModelConverter(); await this.modelConverter.initialize(); } return this.modelConverter; } async convertModel(config) { const converter = await this.createModelConverter(); return converter.convert(config); } async pytorchToONNX(inputPath, outputPath, config) { await this.initialize(); return pytorchToONNX(inputPath, outputPath, config); } async tensorflowToTFLite(inputPath, outputPath, config) { await this.initialize(); return tensorflowToTFLite(inputPath, outputPath, config); } async pytorchToGGUF(inputPath, outputPath, config) { await this.initialize(); return pytorchToGGUF(inputPath, outputPath, config); } // Compliance async createComplianceMonitor(config) { await this.initialize(); if (!this.complianceMonitor) { this.complianceMonitor = new ComplianceMonitor(config); await this.complianceMonitor.initialize(); } return this.complianceMonitor; } async checkCompliance(check) { const monitor = await this.createComplianceMonitor({ organizationId: 'default', enabledRegulations: ['GDPR', 'HIPAA'], privacyLevel: 'basic', auditEnabled: true, realTimeMonitoring: false }); return monitor.checkCompliance(check); } // Advanced Agent async createAdvancedAgent(config) { await this.initialize(); if (!this.advancedAgent) { this.advancedAgent = new AdvancedAgent(config); await this.advancedAgent.initialize(); } return this.advancedAgent; } async runAdvancedAgent(input, context) { const agent = await this.createAdvancedAgent({ name: 'DefaultAgent', model: 'gpt-3.5-turbo', tools: [builtInTools.calculator, builtInTools.search] }); return agent.run(input, context); } // Model Client System async createLSTMModelClient(config) { await this.initialize(); const client = new LSTMModelClient(config); await client.initialize(); return client; } async createMoEModelClient(config) { await this.initialize(); const client = new MoEModelClient(config); await client.initialize(); return client; } async createMultiModalClient(config) { await this.initialize(); const client = new MultiModalClient(config); await client.initialize(); return client; } async createFederatedRouter(config) { await this.initialize(); const router = new FederatedRouter(config); await router.initialize(); return router; } // Gateway async createGateway(config = {}) { await this.initialize(); if (!this.gateway) { this.gateway = new MultiMindGateway(config); await this.gateway.initialize(); } return this.gateway; } async startGateway(config = {}) { const gateway = await this.createGateway(config); return gateway.start(); } async stopGateway() { if (this.gateway) { return this.gateway.stop(); } return { success: true, message: 'No gateway running' }; } // Context Transfer Methods async createContextTransferManager(config) { await this.initialize(); return new ContextTransferManager(config); } async createContextTransferAPI() { await this.initialize(); return new ContextTransferAPI(); } async transferContext(sourceModel, targetModel, conversationData, options) { const api = await this.createContextTransferAPI(); return api.transferContextAPI(sourceModel, targetModel, conversationData, options); } async quickTransfer(sourceModel, targetModel, conversationData, options) { return quickTransfer(sourceModel, targetModel, conversationData, options); } async getSupportedModels() { const api = await this.createContextTransferAPI(); return api.getSupportedModels(); } async validateConversationFormat(data) { const api = await this.createContextTransferAPI(); return api.validateConversationFormat(data); } async batchTransfer(transfers) { const api = await this.createContextTransferAPI(); return api.batchTransfer(transfers); } async createChromeExtensionConfig() { const api = await this.createContextTransferAPI(); return api.createChromeExtensionConfig(); } // ===== UTILITY METHODS ===== async getSDKInfo() { return { version: '0.1.0', features: [ 'Basic Agent Generation', 'Advanced Fine-tuning (LoRA, Adapters, Prefix, Meta-Learning)', 'Advanced RAG with Document Management', 'Model Conversion (PyTorch, TensorFlow, ONNX, GGUF, TFLite)', 'Compliance Monitoring (GDPR, HIPAA)', 'Advanced Agents with Tools and Memory', 'Model Client System (LSTM, MoE, MultiModal, Federated)', 'Gateway API', 'Evaluation and Comparison' ], initialized: this.initialized }; } async healthCheck() { try { await this.initialize(); return { status: 'healthy', message: 'MultiMind SDK is ready' }; } catch (error) { return { status: 'unhealthy', message: error.message }; } } } // Default export export default MultiMindSDK; //# sourceMappingURL=index.js.map