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‎README.md‎

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[![TypeScript](https://img.shields.io/badge/TypeScript-5.0+-blue.svg)](https://www.typescriptlang.org/)
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[![Node.js](https://img.shields.io/badge/Node.js-18+-green.svg)](https://nodejs.org/)
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A comprehensive JavaScript/TypeScript SDK that provides full feature parity with the[Python MultiMind SDK](https://github.com/multimindlab/multimind-sdk), enabling seamless integration of MultiMind's advanced AI capabilities in Node.js and browser environments.
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##🚀 Features
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###Core Features
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-**🤖 Agent Generation**: Generate responses using various AI models with advanced orchestration
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-**🎯 Fine-tuning**: Fine-tune models with custom configurations and advanced methods
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-**🔍 RAG (Retrieval-Augmented Generation)**: Query knowledge bases with context and hybrid retrieval
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-**🔧 Adapter Management**: Load and manage model adapters for enhanced performance
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-**📊 Model Evaluation**: Evaluate model performance on various tasks with comprehensive metrics
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-**🚀 Model Routing**: Automatically route requests to the best model based on input analysis
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###Advanced Features
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-**🧠 Advanced Fine-tuning**: LoRA, Adapters, Prefix Tuning, Meta-Learning, Transfer Learning
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-**📚 Advanced RAG**: Document processing, metadata management, vector storage, knowledge graphs
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-**🛠️ Advanced Agents**: Tool integration, memory management, task orchestration, workflow management
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-**🔄 Model Conversion**: PyTorch, TensorFlow, ONNX, GGUF, TFLite, Safetensors with optimization
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-**🔒 Compliance Monitoring**: Real-time monitoring, privacy protection, audit trails, GDPR/HIPAA compliance
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-**🧠 Model Client System**: LSTM, MoE (Mixture of Experts), MultiModal, Federated routing
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-**🌐 Gateway API**: RESTful API with middleware, authentication, rate limiting, CORS support
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-**📋 Context Transfer**: Transfer conversations between different LLM providers with smart extraction
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-**📦 TypeScript Support**: Full TypeScript definitions and IntelliSense support
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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.
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##🚀 What This SDK Does
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The MultiMind SDK provides a comprehensive JavaScript/TypeScript interface for advanced AI capabilities:
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-**🤖 AI Agent Orchestration**: Create intelligent agents that can reason, plan, and execute complex tasks
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-**🔍 RAG (Retrieval-Augmented Generation)**: Build knowledge systems that combine your data with AI reasoning
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-**🎯 Model Fine-tuning**: Customize AI models for your specific use cases and domains
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-**🔄 Model Routing**: Automatically select the best AI model for each task
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-**📊 Model Evaluation**: Assess and compare AI model performance
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-**🔧 Adapter Management**: Enhance models with specialized capabilities
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-**🛠️ Advanced Workflows**: LoRA fine-tuning, document processing, compliance monitoring, and more
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##📦 Installation
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```bash
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npm install multimind-sdk
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```
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##Prerequisites
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1.**Python 3.8+** installed on your system
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2.**MultiMind Python SDK** installed:
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```bash
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pip install multimind-sdk
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```
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##🚀 Quick Start
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###Basic Usage
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try {
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awaitsdk.initialize();
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// Generate a response
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// Generate a response with an AI agent
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const response=awaitsdk.generateWithAgent(
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"What is artificial intelligence?",
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{ model:"mistral", temperature:0.7 }
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});
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```
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##🤖 Models and Agents
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###Supported AI Models
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-**OpenAI Models**: GPT-3.5, GPT-4, GPT-4 Turbo
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-**Anthropic Models**: Claude-2, Claude-3, Claude-3.5 Sonnet
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-**Open Source Models**: Mistral, Llama, BERT, and many more
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-**Custom Models**: Load and use your own fine-tuned models
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###Agent Types
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-**Basic Agents**: Simple question-answering and text generation
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-**Advanced Agents**: Multi-step reasoning, tool usage, and memory
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-**Specialized Agents**: Code generation, data analysis, creative writing
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-**Custom Agents**: Build agents tailored to your specific domain
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###RAG Capabilities
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-**Document Processing**: PDF, DOCX, TXT, and more
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-**Vector Storage**: Efficient similarity search
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-**Knowledge Graphs**: Structured information retrieval
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-**Hybrid Search**: Combine semantic and keyword search
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##🖥️ Command Line Interface (CLI)
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The MultiMind SDK includes a powerful CLI forcontext transfer operations:
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The MultiMind SDK includes a powerful CLI forautomation and batch operations:
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###Installation
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###Basic CLI Usage
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```bash
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# Transfer contextfrom ChatGPT to Claude
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# Transfer contextbetween different AI models
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multimind-cli --source chatgpt --target claude --input conversation.json --output prompt.txt
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# List supported models
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multimind-cli --chrome-config
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```
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##🔧 Automation Potential
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###Node.js Scripts
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```typescript
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// Automated content generation
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const sdk=newMultiMindSDK();
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awaitsdk.initialize();
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// Generate blog posts from outlines
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const outline="AI trends in 2024";
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const blogPost=awaitsdk.generateWithAgent(
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`Write a comprehensive blog post about: ${outline}`,
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{ model:"gpt-4", temperature:0.7 }
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);
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// Automated customer support
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const customerQuery="How do I reset my password?";
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const response=awaitsdk.queryAdvancedRAG({
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query:customerQuery,
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topK:3,
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includeMetadata:true
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});
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```
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###CI/CD Integration
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```yaml
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# GitHub Actions example
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-name:Generate Documentation
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run:|
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npm install multimind-sdk
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node scripts/generate-docs.js
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```
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### Batch Processing
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```typescript
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// Process multiple documents
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const documents = await loadDocuments('./data/');
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const results = [];
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for (const doc of documents) {
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const summary = await sdk.generateWithAgent(
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`Summarize this document:${doc.content}`,
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{ model: "claude-3" }
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);
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results.push({ id:doc.id, summary });
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}
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```
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##📚 Examples
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###Running Examples
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npm run test:coverage# Run tests with coverage
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npm run lint# Run ESLint
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npm run lint:fix# Fix linting issues
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npm run sync-features# Sync withPython SDK features
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npm run sync-features# Sync withbackend features
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npm run cli# Run CLI
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npm run demo# Run comprehensive demo
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```
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multimind-sdk/
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├── src/
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│ ├── bridge/
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│ │ └── multimind-bridge.ts #Python bridge setup
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│ │ └── multimind-bridge.ts #Backend bridge setup
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│ ├── agent.ts # Basic agent functionality
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│ ├── fineTune.ts # Basic fine-tuning functionality
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│ ├── rag.ts # Basic RAG functionality
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├── scripts/
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│ ├── fix-example-imports.js # Fix example import paths
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│ ├── fix-all-imports.js # Fix all import paths
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│ └── sync-features.js # Sync withPython SDK
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│ └── sync-features.js # Sync withbackend features
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├── package.json
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├── tsconfig.json
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└── README.md
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###Common Issues
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1.**Python not found**: EnsurePython 3.8+ is installed and accessible via`python3`
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2.**MultiMind SDK not installed**:Install the Python SDK with`pip install multimind-sdk`
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3.**Bridge initialization failed**:Check that all required Python modules are available
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4.**Memory issues**:For large models, ensure sufficient RAM and consider using quantization
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5.**GPU issues**:Ensure CUDA is properly installedforGPU acceleration
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1.**Initialization failed**: Ensureall required dependencies are installed
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2.**Model loading issues**:Check that model files are accessible and valid
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3.**Memory issues**:For large models, ensure sufficient RAM and consider using quantization
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4.**GPU issues**:Ensure CUDA is properly installed for GPU acceleration
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5.**Network issues**:Check internet connectivityforcloud-based models
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###Debug Mode
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Apache License 2.0 - see[LICENSE](LICENSE) file for details.
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##🔄 Feature Parity
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This JavaScript/TypeScript SDK maintains full feature parity with the[Python MultiMind SDK](https://github.com/multimindlab/multimind-sdk). Use the sync script to check for any missing features:
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npm run sync-features
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```
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##🆘 Support
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For issues and questions:
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##🔗 Related Links
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-[MultiMind Python SDK](https://github.com/multimindlab/multimind-sdk)
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-[MultiMind Documentation](https://multimind.dev)
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-[MultiMind Discord Community](https://discord.gg/multimind)
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‎package.json‎

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{
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"name":"multimind-sdk",
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"version":"0.1.1",
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"description":"A comprehensiveJavaScript/TypeScriptSDK that provides full feature parity with the Python MultiMind SDK",
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"description":"This SDK givesJavaScript/TypeScriptdevelopers full access to advanced AI features like agent orchestration, RAG, and fine-tuning — without needing to manage backend code.",
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"main":"dist/index.js",
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"types":"dist/index.d.ts",
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"bin": {

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