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+# Vercel AI SDK Claude Code Configuration 🤖
+
+A comprehensive Claude Code configuration for building production-ready AI applications with the Vercel AI SDK. This configuration transforms Claude Code into an expert AI SDK developer with specialized agents, custom commands, and automated workflows.
+
+## ✨ Features
+
+This configuration provides:
+
+- **🤖 Specialized AI Agents** - Expert agents for RAG, multi-modal, streaming, tools, and providers
+- **⚡ Custom Commands** - Slash commands for rapid AI SDK development workflows  
+- **🔄 Automated Hooks** - Development lifecycle automation with formatting and validation
+- **🏗️ Architecture Patterns** - RAG systems, multi-modal apps, streaming interfaces, agent workflows
+- **🚀 Production Ready** - Comprehensive error handling, security, monitoring, and optimization
+- **📚 Expert Knowledge** - Deep understanding from official Vercel AI SDK documentation
+- **🛠️ Multi-Provider Setup** - Anthropic, OpenAI, Google, Cohere with intelligent fallbacks
+- **🧪 Testing Strategies** - Comprehensive testing patterns for AI applications
+
+## 📦 Installation
+
+1. Copy the complete configuration to your AI project:
+
+```bash
+cp -r vercel-ai-sdk/.claude your-ai-project/
+cp vercel-ai-sdk/CLAUDE.md your-ai-project/
+```
+
+2. Install the Vercel AI SDK dependencies:
+
+```bash
+npm install ai @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/google @ai-sdk/cohere
+```
+
+3. Set up your environment variables:
+
+```bash
+# Copy and configure your API keys
+cp .env.example .env.local
+```
+
+4. Start Claude Code - the configuration loads automatically and activates expert mode! 🚀
+
+## 🎯 What You Get
+
+### 🤖 Specialized AI Agents
+
+| Agent | Expertise | Use Cases |
+|-------|-----------|-----------|
+| **RAG Developer** | Embeddings, vector databases, semantic search | Knowledge bases, document retrieval, Q&A systems |
+| **Multi-Modal Expert** | Image/PDF processing, file uploads | Document analysis, visual AI, media processing |
+| **Streaming Expert** | Real-time responses, chat interfaces | Chat apps, live updates, progressive enhancement |
+| **Tool Integration Specialist** | Function calling, external APIs | Agents, workflows, system integrations |
+| **Provider Configuration Expert** | Multi-provider setup, optimization | Cost management, reliability, performance |
+
+### ⚡ Custom Slash Commands
+
+| Command | Purpose | Arguments |
+|---------|---------|-----------|
+| `/ai-chat-setup` | Complete chat interface setup | `basic\|advanced\|multimodal\|rag\|agent` |
+| `/ai-streaming-setup` | Streaming implementation | `text\|object\|chat\|completion` |
+| `/ai-tools-setup` | Tool and function calling | `simple\|database\|api\|multimodal\|agent` |
+| `/ai-provider-setup` | Provider configuration | `single\|multi\|fallback [provider]` |
+| `/ai-rag-setup` | RAG system implementation | `basic\|advanced\|conversational\|agentic` |
+
+### 🏗️ Architecture Patterns
+
+| Pattern | Description | Key Features |
+|---------|-------------|-------------|
+| **RAG Systems** | Retrieval-augmented generation | Embeddings, vector search, context injection |
+| **Multi-Modal Apps** | Image/PDF/media processing | File uploads, vision models, document analysis |
+| **Streaming Interfaces** | Real-time AI responses | Progressive updates, error recovery, interruption |
+| **Agent Workflows** | Tool-calling AI systems | Multi-step execution, external integrations |
+| **Provider Management** | Multi-provider architecture | Fallbacks, cost optimization, health monitoring |
+
+## 🚀 Quick Start Examples
+
+### 1. Create a Basic Chat Interface
+
+```bash
+# Use the custom command to set up everything
+/ai-chat-setup basic
+```
+
+This automatically creates:
+
+- API route with streaming
+- React component with proper error handling
+- TypeScript types and validation
+- Tailwind CSS styling
+
+### 2. Set Up RAG System
+
+```bash
+# Create a complete RAG implementation
+/ai-rag-setup basic
+```
+
+Generates:
+
+- Database schema with vector support
+- Embedding pipeline with chunking
+- Semantic search functionality
+- RAG API with context injection
+
+### 3. Multi-Modal Application
+
+```bash
+# Build image and PDF processing
+/ai-chat-setup multimodal
+```
+
+Includes:
+
+- File upload handling
+- Image/PDF processing
+- Multi-modal chat interface
+- Proper validation and security
+
+### 4. Provider Configuration
+
+```bash
+# Set up multi-provider architecture
+/ai-provider-setup multi anthropic
+```
+
+Creates:
+
+- Provider abstraction layer
+- Fallback mechanisms
+- Cost tracking
+- Health monitoring
+
+### 5. Agent with Tools
+
+```bash
+# Build function-calling agents
+/ai-tools-setup agent
+```
+
+Implements:
+
+- Tool definitions with Zod schemas
+- Multi-step execution
+- Error handling and retry logic
+- Security and rate limiting
+
+## 🔧 Environment Setup
+
+Create `.env.local`:
+
+```env
+# Provider API Keys
+ANTHROPIC_API_KEY=sk-ant-your-key-here
+OPENAI_API_KEY=sk-your-openai-key-here
+GOOGLE_GENERATIVE_AI_API_KEY=your-google-key-here
+COHERE_API_KEY=your-cohere-key-here
+
+# Provider Configuration
+DEFAULT_PROVIDER=anthropic
+DEFAULT_MODEL_TIER=balanced
+ENABLE_PROVIDER_FALLBACK=true
+FALLBACK_PROVIDERS=anthropic,openai,google
+
+# Usage Limits (Optional)
+MAX_TOKENS_PER_REQUEST=4096
+DAILY_TOKEN_LIMIT=100000
+COST_LIMIT_USD=50
+
+# Database (for RAG systems)
+DATABASE_URL=postgresql://...
+VECTOR_DIMENSIONS=1536
+```
+
+## 🔄 Development Lifecycle Automation
+
+This configuration includes automated hooks that:
+
+- **Format code** automatically with Prettier after edits
+- **Validate API routes** and remind about security best practices
+- **Track dependencies** and notify about AI SDK installations
+- **Provide checklists** for streaming, error handling, and testing
+- **Monitor development** and suggest optimizations
+
+## 📊 Monitoring & Analytics
+
+- **Usage tracking** across all providers
+- **Cost calculation** and budget monitoring
+- **Performance metrics** for streaming and tools
+- **Error rate tracking** with automated alerts
+- **Health checks** for provider availability
+
+## 🛡️ Security & Compliance
+
+- **API key protection** with environment validation
+- **Input sanitization** and validation with Zod
+- **Rate limiting** and abuse prevention
+- **Audit logging** for sensitive operations
+- **Privacy controls** for data handling
+
+## 🧪 Testing Strategy
+
+- **Unit tests** for all AI components
+- **Integration tests** for streaming and tools
+- **Performance tests** under load
+- **Security tests** for validation and safety
+- **End-to-end tests** for complete workflows
+
+## 🚀 Deployment Ready
+
+- **Vercel Deployment** - Optimized for Vercel's Edge Runtime
+- **Environment Configuration** - Proper staging/production setup
+- **Monitoring Setup** - Usage tracking and error monitoring
+- **Scaling Considerations** - Auto-scaling and cost optimization
+
+## 📚 Resources
+
+- [Vercel AI SDK Documentation](https://sdk.vercel.ai/docs)
+- [Provider Setup Guides](https://sdk.vercel.ai/providers/ai-sdk-providers)
+- [Example Applications](https://github.com/vercel/ai/tree/main/examples)
+- [Community Support](https://discord.gg/vercel)
+
+## 🔗 Integration
+
+This configuration works well with:
+
+- **Next.js 15** - App Router and Server Components
+- **shadcn/ui** - Beautiful chat interfaces
+- **Tailwind CSS** - Styling for AI applications
+- **Prisma/Drizzle** - Chat history persistence
+- **Vercel** - Optimal deployment platform
+
+---
+
+**Ready to build next-generation AI applications with Claude Code and the Vercel AI SDK!** 🚀
+
+🌟 **Star this configuration** if it enhances your AI development workflow!