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+---
+allowed-tools: Read, Write, Edit, MultiEdit, Bash
+description: Set up advanced AI SDK features including reasoning models, computer use, and cutting-edge capabilities
+argument-hint: "[reasoning|computer-use|generative-ui|edge-optimization|experimental]"
+---
+
+## Set up Advanced AI SDK Features
+
+Configure cutting-edge AI SDK capabilities for: $ARGUMENTS
+
+### Current Advanced Features Analysis
+
+Existing advanced implementations: !`grep -r "experimental\|reasoning\|computer\|streamUI" . --include="*.ts" --include="*.tsx" | head -5`
+
+Provider-specific features: !`grep -r "o1-preview\|deepseek\|computer_20241022\|responses" . --include="*.ts" | head -5`
+
+Experimental configurations: !`grep -r "experimental_" . --include="*.ts" | head -5`
+
+### Advanced Feature Categories
+
+**Reasoning Models**: O1-Preview, O3-mini, DeepSeek R1 with thinking capabilities
+**Computer Use**: Claude 3.5 Sonnet screen interaction and automation
+**Generative UI**: Dynamic component streaming with streamUI
+**Edge Optimization**: Vercel Edge Runtime performance enhancements
+**Experimental**: Cutting-edge AI SDK experimental features
+
+### Your Task
+
+1. **Analyze project requirements** for advanced AI capabilities
+2. **Configure reasoning models** with thinking mode and extended context
+3. **Set up computer use tools** for automation and testing
+4. **Implement generative UI** with dynamic component generation
+5. **Optimize for edge deployment** with performance enhancements
+6. **Enable experimental features** safely with proper fallbacks
+7. **Add comprehensive monitoring** for advanced feature usage
+8. **Create testing strategies** for cutting-edge capabilities
+
+### Implementation Requirements
+
+#### Reasoning Models Integration
+
+- O1-Preview and O3-mini setup with thinking tokens
+- DeepSeek R1 configuration for enhanced reasoning
+- Thinking mode visibility and streaming
+- Extended context window management
+- Reasoning-specific prompt engineering
+
+#### Computer Use Capabilities
+
+- Claude 3.5 Sonnet computer use tool setup
+- Screen interaction and automation
+- Browser automation and testing
+- File system operations
+- Cross-platform compatibility
+
+#### Generative UI Features
+
+- streamUI implementation for dynamic components
+- Real-time component generation
+- Interactive widget creation
+- Chart and visualization streaming
+- Form and dashboard generation
+
+### Expected Deliverables
+
+1. **Advanced provider configurations** with reasoning and computer use
+2. **Generative UI implementation** with component streaming
+3. **Edge runtime optimizations** for global deployment
+4. **Experimental features setup** with safety controls
+5. **Performance monitoring** for advanced capabilities
+6. **Testing suite** covering all advanced features
+7. **Documentation** with examples and best practices
+
+### Advanced Provider Setup
+
+#### Reasoning Models Configuration
+
+```typescript
+// lib/reasoning-providers.ts
+import { openai } from '@ai-sdk/openai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+// OpenAI O1 Models
+export const o1Preview = openai('o1-preview', {
+  // Reasoning-specific configuration
+  experimental_reasoning: true,
+  experimental_thinkingMode: 'visible',
+  maxCompletionTokens: 32768,
+  temperature: 1.0, // Fixed for reasoning models
+});
+
+export const o3Mini = openai('o3-mini', {
+  experimental_reasoning: true,
+  experimental_thinkingTokens: true,
+  experimental_thinkingMode: 'visible',
+  maxCompletionTokens: 65536,
+});
+
+// DeepSeek R1
+export const deepseekR1 = createOpenAI({
+  apiKey: process.env.DEEPSEEK_API_KEY,
+  baseURL: 'https://api.deepseek.com/v1',
+})('deepseek-reasoner', {
+  experimental_reasoning: true,
+  experimental_thinkingTokens: true,
+  maxTokens: 8192,
+});
+
+// Reasoning model selector
+export function selectReasoningModel(complexity: 'simple' | 'complex' | 'mathematical') {
+  switch (complexity) {
+    case 'mathematical':
+      return o1Preview; // Best for math and logic
+    case 'complex':
+      return o3Mini; // Good for complex reasoning
+    case 'simple':
+      return deepseekR1; // Fast for simple reasoning
+    default:
+      return o1Preview;
+  }
+}
+```
+
+#### Computer Use Implementation
+
+```typescript
+// lib/computer-use.ts
+import { anthropic } from '@ai-sdk/anthropic';
+import { tool } from 'ai';
+import { z } from 'zod';
+
+export const computerUseTool = anthropic.tools.computer_20241022({
+  displayWidthPx: 1920,
+  displayHeightPx: 1080,
+  execute: async ({ action, coordinate, text }) => {
+    // Implement safe computer interactions
+    return await executeComputerAction(action, coordinate, text);
+  },
+});
+
+export const browserAutomationTool = tool({
+  description: 'Automate browser interactions for testing and data collection',
+  inputSchema: z.object({
+    url: z.string().url(),
+    actions: z.array(z.object({
+      type: z.enum(['navigate', 'click', 'type', 'wait', 'screenshot']),
+      selector: z.string().optional(),
+      text: z.string().optional(),
+    })),
+  }),
+  execute: async ({ url, actions }) => {
+    const results = [];
+    
+    for (const action of actions) {
+      const result = await executeBrowserAction(action, url);
+      results.push(result);
+      
+      if (!result.success) break; // Stop on error
+    }
+    
+    return { success: true, results };
+  },
+});
+
+// Safe computer action execution with permissions
+async function executeComputerAction(action: string, coordinate?: [number, number], text?: string) {
+  // Security checks
+  const allowedActions = ['screenshot', 'click', 'type', 'scroll'];
+  if (!allowedActions.includes(action)) {
+    throw new Error(`Action not allowed: ${action}`);
+  }
+  
+  // Rate limiting
+  await checkRateLimit(`computer_${action}`);
+  
+  // Execute action based on platform
+  switch (action) {
+    case 'screenshot':
+      return await takeScreenshot();
+    case 'click':
+      if (!coordinate) throw new Error('Click requires coordinates');
+      return await performClick(coordinate);
+    case 'type':
+      if (!text) throw new Error('Type requires text');
+      return await typeText(text);
+    case 'scroll':
+      return await performScroll(text || 'down');
+    default:
+      throw new Error(`Unsupported action: ${action}`);
+  }
+}
+```
+
+#### Generative UI Setup
+
+```typescript
+// app/api/ui/route.ts
+import { streamUI } from 'ai/rsc';
+import { anthropic } from '@ai-sdk/anthropic';
+import { z } from 'zod';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = streamUI({
+    model: anthropic('claude-3-sonnet-20240229'),
+    messages,
+    text: ({ content }) => <div>{content}</div>,
+    
+    tools: {
+      createChart: {
+        description: 'Generate interactive charts and visualizations',
+        inputSchema: z.object({
+          type: z.enum(['bar', 'line', 'pie', 'scatter', 'heatmap']),
+          data: z.array(z.record(z.any())),
+          title: z.string(),
+          options: z.record(z.any()).optional(),
+        }),
+        generate: async ({ type, data, title, options }) => {
+          const { default: Chart } = await import('@/components/dynamic-chart');
+          return <Chart type={type} data={data} title={title} options={options} />;
+        },
+      },
+      
+      createForm: {
+        description: 'Generate dynamic forms with validation',
+        inputSchema: z.object({
+          fields: z.array(z.object({
+            name: z.string(),
+            type: z.enum(['text', 'email', 'number', 'select', 'textarea']),
+            required: z.boolean(),
+            options: z.array(z.string()).optional(),
+          })),
+          title: z.string(),
+          onSubmit: z.string().optional(), // Callback name
+        }),
+        generate: async ({ fields, title, onSubmit }) => {
+          const { default: DynamicForm } = await import('@/components/dynamic-form');
+          return <DynamicForm fields={fields} title={title} onSubmit={onSubmit} />;
+        },
+      },
+      
+      createDashboard: {
+        description: 'Build interactive dashboards with multiple widgets',
+        inputSchema: z.object({
+          layout: z.enum(['grid', 'flex', 'sidebar']),
+          widgets: z.array(z.object({
+            type: z.enum(['metric', 'chart', 'table', 'list']),
+            title: z.string(),
+            data: z.any(),
+            size: z.enum(['small', 'medium', 'large']).optional(),
+          })),
+        }),
+        generate: async ({ layout, widgets }) => {
+          const { default: Dashboard } = await import('@/components/dynamic-dashboard');
+          return <Dashboard layout={layout} widgets={widgets} />;
+        },
+      },
+    },
+  });
+
+  return result.toDataStreamResponse();
+}
+```
+
+### Edge Optimization Configuration
+
+```typescript
+// next.config.js - Advanced edge configuration
+/** @type {import('next').NextConfig} */
+const nextConfig = {
+  experimental: {
+    runtime: 'edge',
+    serverComponentsExternalPackages: [
+      '@ai-sdk/anthropic',
+      '@ai-sdk/openai',
+      '@ai-sdk/google',
+    ],
+    // Advanced streaming
+    streaming: {
+      compression: true,
+      keepAlive: true,
+      timeout: 300000, // 5 minutes
+    },
+    // Edge-specific features
+    edgeRuntime: {
+      unsafeEval: false, // Security
+      allowMiddlewareResponseBody: true,
+    },
+  },
+  
+  webpack: (config, { nextRuntime, isServer }) => {
+    if (nextRuntime === 'edge') {
+      // Edge runtime optimizations
+      config.resolve.fallback = {
+        ...config.resolve.fallback,
+        fs: false,
+        net: false,
+        tls: false,
+        crypto: false,
+      };
+      
+      // Reduce bundle size for edge
+      config.externals = [
+        ...(config.externals || []),
+        'sharp', // Image processing
+        'canvas', // Canvas operations
+      ];
+    }
+    
+    return config;
+  },
+  
+  // Advanced headers for performance
+  headers: async () => [
+    {
+      source: '/api/:path*',
+      headers: [
+        {
+          key: 'Cache-Control',
+          value: 'public, max-age=0, s-maxage=3600, stale-while-revalidate=86400',
+        },
+        {
+          key: 'X-Content-Type-Options',
+          value: 'nosniff',
+        },
+        {
+          key: 'X-Frame-Options',
+          value: 'DENY',
+        },
+        {
+          key: 'X-XSS-Protection',
+          value: '1; mode=block',
+        },
+      ],
+    },
+  ],
+};
+
+module.exports = nextConfig;
+```
+
+### Experimental Features Configuration
+
+```typescript
+// lib/experimental-features.ts
+import { streamText, generateObject, streamUI } from 'ai';
+
+export const experimentalConfig = {
+  // Multi-modal streaming
+  multimodalStreaming: true,
+  
+  // Advanced tool calling
+  toolCallStreaming: true,
+  continueSteps: true,
+  
+  // Reasoning capabilities
+  reasoning: true,
+  thinkingMode: 'visible',
+  thinkingTokens: true,
+  
+  // Performance optimizations
+  streamingTimeouts: {
+    streamingTimeout: 30000,
+    completeTimeout: 120000,
+    keepAliveInterval: 5000,
+  },
+  
+  // Memory management
+  memoryManagement: {
+    maxTokensInMemory: 50000,
+    enableGarbageCollection: true,
+    cleanupInterval: 60000,
+  },
+  
+  // Connection optimization
+  connectionOptimization: {
+    enableCompression: true,
+    enableKeepAlive: true,
+    connectionPooling: true,
+  },
+};
+
+// Experimental feature wrapper
+export function withExperimentalFeatures<T extends Function>(fn: T): T {
+  return (async (...args: any[]) => {
+    try {
+      // Enable experimental features for this call
+      const result = await fn(...args);
+      
+      // Track experimental feature usage
+      await trackExperimentalUsage(fn.name, true);
+      
+      return result;
+    } catch (error) {
+      // Fallback to stable version on experimental failure
+      console.warn(`Experimental feature ${fn.name} failed, falling back:`, error);
+      
+      await trackExperimentalUsage(fn.name, false);
+      
+      // Implement fallback logic here
+      throw error; // or return fallback result
+    }
+  }) as T;
+}
+
+// Feature flag system
+export class FeatureFlags {
+  private static flags = new Map<string, boolean>();
+  
+  static async initialize() {
+    // Load feature flags from environment or external service
+    this.flags.set('reasoning_models', process.env.ENABLE_REASONING === 'true');
+    this.flags.set('computer_use', process.env.ENABLE_COMPUTER_USE === 'true');
+    this.flags.set('generative_ui', process.env.ENABLE_GENERATIVE_UI === 'true');
+    this.flags.set('edge_optimization', process.env.ENABLE_EDGE_OPT === 'true');
+  }
+  
+  static isEnabled(feature: string): boolean {
+    return this.flags.get(feature) ?? false;
+  }
+  
+  static enable(feature: string) {
+    this.flags.set(feature, true);
+  }
+  
+  static disable(feature: string) {
+    this.flags.set(feature, false);
+  }
+}
+
+async function trackExperimentalUsage(feature: string, success: boolean) {
+  // Track experimental feature usage for monitoring
+  const usage = {
+    feature,
+    success,
+    timestamp: Date.now(),
+    environment: process.env.NODE_ENV,
+  };
+  
+  // Send to analytics service
+  console.log('Experimental feature usage:', usage);
+}
+```
+
+### Advanced Monitoring and Analytics
+
+```typescript
+// lib/advanced-monitoring.ts
+export class AdvancedMonitoring {
+  static async recordAdvancedMetric(
+    feature: string,
+    metric: string,
+    value: number,
+    metadata: Record<string, any> = {}
+  ) {
+    const record = {
+      feature,
+      metric,
+      value,
+      metadata,
+      timestamp: Date.now(),
+      environment: process.env.NODE_ENV,
+      region: process.env.VERCEL_REGION || 'unknown',
+    };
+    
+    // Send to monitoring service
+    await this.sendToMonitoring(record);
+  }
+  
+  static async recordReasoningMetrics(
+    model: string,
+    thinkingTokens: number,
+    completionTokens: number,
+    success: boolean
+  ) {
+    await this.recordAdvancedMetric('reasoning', 'token_usage', thinkingTokens + completionTokens, {
+      model,
+      thinking_tokens: thinkingTokens,
+      completion_tokens: completionTokens,
+      success,
+    });
+  }
+  
+  static async recordComputerUseMetrics(
+    action: string,
+    duration: number,
+    success: boolean
+  ) {
+    await this.recordAdvancedMetric('computer_use', 'action_duration', duration, {
+      action,
+      success,
+    });
+  }
+  
+  static async recordGenerativeUIMetrics(
+    componentType: string,
+    renderTime: number,
+    complexity: 'low' | 'medium' | 'high'
+  ) {
+    await this.recordAdvancedMetric('generative_ui', 'render_time', renderTime, {
+      component_type: componentType,
+      complexity,
+    });
+  }
+  
+  private static async sendToMonitoring(record: any) {
+    // Implementation depends on your monitoring service
+    // Examples: DataDog, New Relic, Custom Analytics
+    console.log('Advanced Monitoring:', record);
+  }
+}
+```
+
+### Testing Advanced Features
+
+```typescript
+// tests/advanced-features.test.ts
+import { describe, it, expect } from 'vitest';
+import { experimentalConfig, FeatureFlags } from '@/lib/experimental-features';
+
+describe('Advanced Features', () => {
+  beforeAll(async () => {
+    await FeatureFlags.initialize();
+  });
+  
+  it('should handle reasoning models', async () => {
+    if (!FeatureFlags.isEnabled('reasoning_models')) {
+      return; // Skip if not enabled
+    }
+    
+    const result = await testReasoningModel();
+    expect(result.success).toBe(true);
+    expect(result.thinking_tokens).toBeGreaterThan(0);
+  });
+  
+  it('should execute computer use safely', async () => {
+    if (!FeatureFlags.isEnabled('computer_use')) {
+      return;
+    }
+    
+    const result = await testComputerUse();
+    expect(result.screenshot).toBeDefined();
+    expect(result.actions).toBeInstanceOf(Array);
+  });
+  
+  it('should generate UI components', async () => {
+    if (!FeatureFlags.isEnabled('generative_ui')) {
+      return;
+    }
+    
+    const component = await testGenerativeUI();
+    expect(component).toBeDefined();
+    expect(component.type).toBe('chart');
+  });
+});
+```
+
+### Security Considerations
+
+- **Feature flags**: Control advanced features with environment variables
+- **Rate limiting**: Implement strict limits for resource-intensive features
+- **Permissions**: Computer use requires explicit user permissions
+- **Monitoring**: Track all advanced feature usage and errors
+- **Fallbacks**: Always have stable alternatives for experimental features
+- **Testing**: Comprehensive testing in isolated environments
+- **Documentation**: Clear usage guidelines and safety measures
+
+Focus on building cutting-edge AI applications that push the boundaries of what's possible while maintaining security, reliability, and user safety.
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