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document.addEventListener('DOMContentLoaded', () => { |
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const root = document.getElementById('root'); |
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const initialCells = [ |
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{ |
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id: 'cell-1', |
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agentType: 'researcher', |
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input: 'Find recent breakthroughs in quantum computing', |
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output: { |
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type: 'markdown', |
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content: '## Quantum Computing Breakthroughs (2023)\n\n1. **IBM Quantum Heron Processor** - 133-qubit processor with improved error rates\n2. **Google Quantum Supremacy 2.0** - Demonstrated 70-qubit processor\n3. **Microsoft Topological Qubits** - More stable qubit design\n4. **Quantum Networking** - First multi-node quantum network demonstrated', |
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tools_used: [ |
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{ name: 'arXiv Search', icon: 'search', status: 'success', latency: '420ms' }, |
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{ name: 'Research Summarizer', icon: 'file-text', status: 'success', latency: '320ms' } |
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], |
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metadata: { |
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version_hash: 'sha256:9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08', |
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source_citations: [ |
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{ |
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title: 'IBM Quantum Heron Processor Announcement', |
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url: 'https://research.ibm.com/blog/quantum-heron-processor', |
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description: 'Official announcement of the 133-qubit processor' |
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}, |
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{ |
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title: 'Nature: Quantum Computing Advances 2023', |
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url: 'https://www.nature.com/quantum-2023', |
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description: 'Comprehensive review of quantum computing milestones' |
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} |
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], |
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verification_score: 0.92, |
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requires_human_check: true, |
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human_check_status: 'approved' |
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} |
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}, |
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status: 'success', |
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timestamp: new Date(Date.now() - 3600000).toISOString() |
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}, |
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{ |
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id: 'cell-2', |
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agentType: 'analyst', |
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input: 'Summarize the key points from cell-1 into bullet points', |
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output: { |
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type: 'markdown', |
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content: '- IBM released 133-qubit processor\n- Google demonstrated 70-qubit processor\n- Microsoft developed more stable qubit design\n- Multi-node quantum networks achieved', |
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tools_used: [ |
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{ name: 'Text Summarizer', icon: 'align-left', status: 'success', latency: '210ms' } |
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], |
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metadata: { |
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version_hash: 'sha256:5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8', |
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|
source_citations: [], |
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verification_score: 0.85, |
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requires_human_check: false |
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} |
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}, |
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|
status: 'success', |
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timestamp: new Date(Date.now() - 1800000).toISOString() |
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}, |
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{ |
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id: 'cell-3', |
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agentType: 'data-visualizer', |
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input: 'Create a comparison table of quantum processors from cell-1', |
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output: { |
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type: 'table', |
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content: { |
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headers: ['Company', 'Qubits', 'Key Feature'], |
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rows: [ |
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['IBM', '133', 'Improved error rates'], |
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['Google', '70', 'Supremacy 2.0'], |
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['Microsoft', 'N/A', 'Topological stability'] |
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] |
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}, |
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tools_used: [ |
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{ name: 'Table Generator', icon: 'grid', status: 'success', latency: '380ms' }, |
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{ name: 'Data Validator', icon: 'check-circle', status: 'success', latency: '290ms' } |
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], |
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metadata: { |
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version_hash: 'sha256:a591a6d40bf420404a011733cfb7b190d62c65bf0bcda32b57b277d9ad9f146e', |
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source_citations: [], |
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verification_score: 0.78, |
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requires_human_check: true, |
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human_check_status: 'pending' |
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} |
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}, |
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|
status: 'success', |
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|
timestamp: new Date(Date.now() - 900000).toISOString() |
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} |
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]; |
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const notebook = document.createElement('agentic-notebook'); |
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notebook.setAttribute('cells', JSON.stringify(initialCells)); |
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root.appendChild(notebook); |
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}); |
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function mockRunCell(cellId) { |
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const cell = document.querySelector(`agentic-cell[id="${cellId}"]`); |
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if (!cell) return; |
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cell.setAttribute('status', 'loading'); |
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setTimeout(() => { |
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const randomSuccess = Math.random() > 0.1; |
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const timestamp = new Date().toISOString(); |
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if (randomSuccess) { |
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const agentType = cell.getAttribute('agent-type'); |
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let output; |
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|
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if (agentType === 'researcher') { |
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|
output = { |
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|
type: 'markdown', |
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|
content: '## Updated Research Results\n\nNew findings suggest quantum error correction is improving faster than expected.' |
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|
}; |
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|
} else if (agentType === 'analyst') { |
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|
output = { |
|
|
type: 'markdown', |
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|
content: '- Quantum error correction improving rapidly\n- New benchmarks show 2x improvement' |
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|
}; |
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|
} else if (agentType === 'data-visualizer') { |
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|
output = { |
|
|
type: 'table', |
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|
content: { |
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|
headers: ['Metric', 'Improvement'], |
|
|
rows: [ |
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|
['Error Rate', '50% reduction'], |
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|
['Speed', '2x faster'], |
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|
['Stability', '3x more stable'] |
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] |
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|
} |
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|
}; |
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|
} |
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cell.setAttribute('output', JSON.stringify(output)); |
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|
cell.setAttribute('status', 'success'); |
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|
} else { |
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|
cell.setAttribute('status', 'error'); |
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|
} |
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|
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cell.setAttribute('timestamp', timestamp); |
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|
}, 1500); |
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|
} |