ONEDeFi MCP Server

{% extends "base.html" %} {% block title %}AI Agent - DeFi MCP Server{% endblock %} {% block content %} <div class="container py-4"> <!-- Header --> <div class="row mb-4"> <div class="col-12"> <h1 class="h3 mb-1"> <i data-feather="cpu" class="me-2"></i> DeFi AI Agent </h1> <p class="text-muted mb-0">Automated DeFi portfolio management and optimization</p> </div> </div> <!-- Agent Status --> <div class="row mb-4"> <div class="col-12"> <div class="card"> <div class="card-body"> <div class="row align-items-center"> <div class="col-md-8"> <h5 class="card-title mb-1"> <i data-feather="activity" class="me-2"></i> Agent Status </h5> <p class="text-muted mb-0">AI agent ready to analyze and optimize your DeFi portfolio</p> </div> <div class="col-md-4 text-md-end"> <span class="badge bg-success fs-6"> <i data-feather="check-circle" class="me-1"></i> Active </span> </div> </div> </div> </div> </div> </div> <!-- Action Cards --> <div class="row mb-4"> <div class="col-md-4 mb-3"> <div class="card h-100"> <div class="card-body text-center"> <i data-feather="bar-chart" class="text-primary mb-3" style="width: 48px; height: 48px;"></i> <h5 class="card-title">Portfolio Analysis</h5> <p class="card-text">Get AI-powered insights into your portfolio performance and recommendations.</p> <button class="btn btn-primary" onclick="analyzePortfolio()"> Analyze Portfolio </button> </div> </div> </div> <div class="col-md-4 mb-3"> <div class="card h-100"> <div class="card-body text-center"> <i data-feather="trending-up" class="text-success mb-3" style="width: 48px; height: 48px;"></i> <h5 class="card-title">Execute Strategy</h5> <p class="card-text">Let the AI agent execute automated DeFi strategies based on your risk profile.</p> <button class="btn btn-success" onclick="showStrategyModal()"> Execute Strategy </button> </div> </div> </div> <div class="col-md-4 mb-3"> <div class="card h-100"> <div class="card-body text-center"> <i data-feather="eye" class="text-info mb-3" style="width: 48px; height: 48px;"></i> <h5 class="card-title">Start Monitoring</h5> <p class="card-text">Enable continuous monitoring and automatic optimization of your positions.</p> <button class="btn btn-info" onclick="startMonitoring()"> Start Monitoring </button> </div> </div> </div> </div> <!-- Results Section --> <div class="row"> <div class="col-12"> <div class="card"> <div class="card-header d-flex justify-content-between align-items-center"> <h5 class="card-title mb-0"> <i data-feather="brain" class="me-2"></i> AI Analysis Results </h5> <button class="btn btn-sm btn-outline-secondary" onclick="clearResults()"> <i data-feather="trash-2" class="me-1"></i> Clear </button> </div> <div class="card-body"> <div id="analysisResults" class="d-none"> <!-- Analysis results will be displayed here --> </div> <div id="ai-insights-content" class="d-none"> <!-- AI insights will be displayed here --> </div> <div id="emptyState" class="text-center py-5"> <i data-feather="brain" class="text-muted mb-3" style="width: 64px; height: 64px;"></i> <h5 class="text-muted">No Analysis Yet</h5> <p class="text-muted">Click "Analyze Portfolio" to get AI-powered insights</p> </div> </div> </div> </div> </div> </div> <!-- Strategy Modal --> <div class="modal fade" id="strategyModal" tabindex="-1"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title"> <i data-feather="target" class="me-2"></i> Execute AI Strategy </h5> <button type="button" class="btn-close" data-bs-dismiss="modal"></button> </div> <div class="modal-body"> <form id="strategyForm"> <div class="mb-3"> <label for="walletAddress" class="form-label">Wallet Address</label> <input type="text" class="form-control" id="walletAddress" placeholder="0x..." required> </div> <div class="mb-3"> <label for="blockchain" class="form-label">Blockchain</label> <select class="form-select" id="blockchain" required> <option value="ethereum">Ethereum</option> <option value="polygon">Polygon</option> <option value="solana">Solana</option> </select> </div> <div class="mb-3"> <label for="strategy" class="form-label">Strategy</label> <select class="form-select" id="strategy" required> <option value="ai_optimized">AI-Optimized Strategy (Recommended)</option> <option value="conservative_yield">Conservative Yield (Low Risk)</option> <option value="balanced_portfolio">Balanced Portfolio (Medium Risk)</option> <option value="aggressive_farming">Aggressive Farming (High Risk)</option> </select> </div> <div class="alert alert-info"> <i data-feather="info" class="me-2"></i> The AI will analyze your portfolio and execute the selected strategy automatically. </div> </form> </div> <div class="modal-footer"> <button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Cancel</button> <button type="button" class="btn btn-primary" onclick="executeStrategy()"> <i data-feather="play" class="me-1"></i> Execute Strategy </button> </div> </div> </div> </div> <script> // AI Agent interaction functions function analyzePortfolio() { const walletAddress = prompt("Enter wallet address to analyze:"); if (!walletAddress) return; showToast('AI agent analyzing portfolio...', 'info'); // Simulate API call to AI agent setTimeout(() => { // In a real scenario, this would involve calling your backend API // which then interacts with the Comput3 AI endpoint. // The response would include the standard analysis and potentially AI-generated insights. displayAnalysisResults({ success: true, analysis: { total_value: 12500, token_count: 8, position_count: 3, diversification_score: 0.65, yield_potential: { active_positions: 2, average_apy: 0.074, yield_rating: "Medium" }, recommendations: [ { type: "yield_optimization", priority: "medium", action: "Consider lending USDC to Aave for 5.2% APY", reason: "Current yield can be improved" }, { type: "diversification", priority: "low", action: "Portfolio diversification is adequate", reason: "Good spread across 8 different tokens" } ], // Example AI-generated insights from Comput3 AI endpoint ai_insights: `Based on current market trends and your portfolio composition, the LLaMA 3 70B model suggests a potential shift towards higher-yield stablecoin lending protocols. Specifically, protocols offering enhanced security and audited smart contracts should be prioritized. Additionally, exploring yield farming opportunities in emerging Layer 2 solutions could offer significant upside, albeit with higher risk.` } }); showToast('Portfolio analysis completed!', 'success'); }, 2000); } function showStrategyModal() { new bootstrap.Modal(document.getElementById('strategyModal')).show(); } function executeStrategy() { const form = document.getElementById('strategyForm'); const formData = new FormData(form); if (!form.checkValidity()) { form.reportValidity(); return; } const walletAddress = formData.get('walletAddress'); const blockchain = formData.get('blockchain'); const strategy = formData.get('strategy'); bootstrap.Modal.getInstance(document.getElementById('strategyModal')).hide(); showToast(`Executing ${strategy.replace('_', ' ')} strategy...`, 'info'); // Simulate strategy execution setTimeout(() => { displayStrategyResults({ success: true, strategy: strategy, executed_actions: [ { action: {type: 'lend', params: {token: 'USDC', amount: '100'}}, success: true, result: {tx_hash: '0x123...abc'} } ], summary: { total_actions: 1, successful: 1, failed: 0, success_rate: 100 } }); showToast('Strategy executed successfully!', 'success'); }, 3000); } function startMonitoring() { const walletAddress = prompt("Enter wallet address to monitor:"); if (!walletAddress) return; showToast('AI monitoring started for your wallet', 'success'); // In a real implementation, this would start a background monitoring process setTimeout(() => { showToast('Monitoring active - AI will check your portfolio every 5 minutes', 'info'); }, 1000); } function displayAnalysisResults(results) { const analysisDiv = document.getElementById('analysisResults'); const aiInsightsDiv = document.getElementById('ai-insights-content'); if (!analysisDiv) return; if (results.success) { const analysis = results.analysis; analysisDiv.innerHTML = ` <div class="row mb-4"> <div class="col-md-3"> <div class="text-center"> <div class="h4 text-primary mb-1">$${analysis.total_value.toLocaleString()}</div> <div class="small text-muted">Portfolio Value</div> </div> </div> <div class="col-md-3"> <div class="text-center"> <div class="h4 text-info mb-1">${(analysis.diversification_score * 100).toFixed(0)}%</div> <div class="small text-muted">Diversification</div> </div> </div> <div class="col-md-3"> <div class="text-center"> <div class="h4 text-success mb-1">${(analysis.yield_potential.average_apy * 100).toFixed(1)}%</div> <div class="small text-muted">Average APY</div> </div> </div> <div class="col-md-3"> <div class="text-center"> <div class="h4 text-warning mb-1">${analysis.position_count}</div> <div class="small text-muted">Active Positions</div> </div> </div> </div> <h6 class="mb-3"> <i data-feather="lightbulb" class="me-2"></i> AI Recommendations </h6> <div class="list-group"> ${analysis.recommendations.map(rec => ` <div class="list-group-item"> <div class="d-flex w-100 justify-content-between"> <h6 class="mb-1"> <span class="badge bg-${rec.priority === 'high' ? 'danger' : rec.priority === 'medium' ? 'warning' : 'info'} me-2"> ${rec.priority.toUpperCase()} </span> ${rec.action} </h6> </div> <p class="mb-1 text-muted">${rec.reason}</p> <small class="text-muted">Type: ${rec.type}</small> </div> `).join('')} </div> `; // Display AI insights if available if (analysis.ai_insights && aiInsightsDiv) { aiInsightsDiv.innerHTML = ` <div class="alert alert-primary"> <h6><i data-feather="cpu" class="me-2"></i>Comput3 AI Analysis (LLaMA 3 70B)</h6> <div style="white-space: pre-wrap;">${analysis.ai_insights}</div> </div> `; aiInsightsDiv.classList.remove('d-none'); } resultsDiv.classList.remove('d-none'); emptyState.classList.add('d-none'); } feather.replace(); } function displayStrategyResults(results) { const resultsDiv = document.getElementById('analysisResults'); const emptyState = document.getElementById('emptyState'); if (results.success) { const summary = results.summary; resultsDiv.innerHTML = ` <div class="alert alert-success"> <h6 class="alert-heading"> <i data-feather="check-circle" class="me-2"></i> Strategy Execution Completed </h6> <p class="mb-0">Successfully executed ${results.strategy.replace('_', ' ')} strategy</p> </div> <div class="row mb-4"> <div class="col-md-3"> <div class="text-center"> <div class="h4 text-primary mb-1">${summary.total_actions}</div> <div class="small text-muted">Total Actions</div> </div> </div> <div class="col-md-3"> <div class="text-center"> <div class="h4 text-success mb-1">${summary.successful}</div> <div class="small text-muted">Successful</div> </div> </div> <div class="col-md-3"> <div class="text-center"> <div class="h4 text-danger mb-1">${summary.failed}</div> <div class="small text-muted">Failed</div> </div> </div> <div class="col-md-3"> <div class="text-center"> <div class="h4 text-info mb-1">${summary.success_rate}%</div> <div class="small text-muted">Success Rate</div> </div> </div> </div> <h6 class="mb-3"> <i data-feather="list" class="me-2"></i> Executed Actions </h6> <div class="list-group"> ${results.executed_actions.map(action => ` <div class="list-group-item"> <div class="d-flex w-100 justify-content-between"> <h6 class="mb-1"> <span class="badge bg-${action.success ? 'success' : 'danger'} me-2"> ${action.success ? 'SUCCESS' : 'FAILED'} </span> ${action.action.type.toUpperCase()} Operation </h6> </div> <p class="mb-1">Token: ${action.action.params.token || 'N/A'}</p> <small class="text-muted"> ${action.success ? `TX: ${action.result.tx_hash}` : `Error: ${action.result.error}`} </small> </div> `).join('')} </div> `; resultsDiv.classList.remove('d-none'); emptyState.classList.add('d-none'); } feather.replace(); } function clearResults() { document.getElementById('analysisResults').classList.add('d-none'); document.getElementById('ai-insights-content').classList.add('d-none'); // Hide AI insights as well document.getElementById('emptyState').classList.remove('d-none'); } // Helper function to show toast notifications (assuming you have a toast implementation) function showToast(message, type) { // This is a placeholder. In a real app, you'd use a toast library or custom implementation. console.log(`[${type.toUpperCase()}] ${message}`); alert(`${type.toUpperCase()}: ${message}`); } </script> {% endblock %}