Task Introspection: Advanced Filtering And Export Guide
Hey guys! Today, we're diving deep into the awesome advanced filtering and export capabilities of Task Introspection. This is going to be a game-changer for debugging and analyzing your multi-agent workflows. Get ready to transform Task Introspection into your go-to powerhouse tool!
🎯 Objective
Our main objective here is to showcase how these advanced filtering and export features can make Task Introspection a real debugging and analysis beast. We want to demonstrate how developers can laser-focus on specific agents, export comprehensive data for detailed reports, and generate actionable insights from even the most complex multi-agent workflows.
Focusing on Specific Agents
One of the standout features we'll explore is the ability to pinpoint individual agents within your system. This is crucial for identifying bottlenecks, tracking down bugs, and understanding the intricacies of each agent's role within the broader workflow. Imagine being able to isolate a single agent and analyze its performance in isolation – that's the power we're unlocking here.
Exporting Comprehensive Data
But it's not enough just to isolate agents; you also need to be able to export the data for deeper analysis and reporting. We'll walk you through how to export everything from detailed event logs to high-level performance metrics. This exported data can then be used to generate insightful reports, share findings with stakeholders, and even feed into other analytics tools for even more comprehensive insights.
Creating Actionable Insights
The ultimate goal is to translate this data into actionable insights. By leveraging the filtering and export features of Task Introspection, you'll be able to identify areas for optimization, flag potential issues, and gain a deeper understanding of your system's behavior. This will empower you to make data-driven decisions that improve performance, enhance reliability, and ultimately deliver better results.
We're not just talking about simple data dumps here. Task Introspection allows you to tailor your exports to specific needs, whether you're generating a high-level executive summary or diving deep into the technical weeds. This level of granularity ensures that you can communicate effectively with different audiences, from developers to project managers to stakeholders.
In essence, we're taking Task Introspection from a helpful tool to a critical asset in your development arsenal. With these advanced features, you'll be able to take control of your workflows, identify and resolve issues faster, and optimize your system's performance like never before. So, let's dive in and see how it all works!
📋 Detailed Requirements
Let's break down exactly what we need to make this happen. We're going to cover Advanced Agent Filtering and Comprehensive Export Functionality, with real-time demonstrations to bring it all to life.
1. Advanced Agent Filtering
This is where we get granular. We need to be able to filter down to specific agents to really analyze their performance. Think of it as having a magnifying glass for your agents.
Filter by Agent Dropdown
- Multi-Agent Filter: We're talking a dropdown that shows all 4 agents from our demo task. This gives us a complete overview.
- Agent Options: ProfileCollector, DataValidator, ComplianceAgent, ReportGenerator – the whole crew needs to be represented.
- Visual Indicators: Icons and color coding are key. We want to make it visually clear which agent we're dealing with.
- Event Counts: Show filtered vs. total events (e.g., "2 of 4 events"). This gives immediate context to the filter.
Filter Functionality
🔽 Filter Options Available:
• Show All Agents (4 of 4 events)
• ProfileCollector Only (1 of 4 events)
• DataValidator Only (1 of 4 events)
• ComplianceAgent Only (1 of 4 events)
• ReportGenerator Only (1 of 4 events)
• Data Processing Agents (ProfileCollector + DataValidator: 2 of 4 events)
• Analysis Agents (ComplianceAgent + ReportGenerator: 2 of 4 events)
This isn't just about single agent filtering; we're also grouping agents logically (Data Processing, Analysis) for broader insights. This is super useful for understanding different phases of your workflow.
Filter State Management
- Active Filter Badge: A visual cue telling us what filter is currently active. No guesswork here!
- Filter Persistence: Maintain the filter when switching views. We don't want to lose our focus when navigating the UI.
- Clear Filter: An easy way to return to “Show All”. Sometimes you just need a fresh perspective.
- Filter URL State: Bookmarkable filtered views. Share specific views with your team? Yes, please!
Filtered Timeline Display
- Event Hiding: Non-matching events are hidden from the timeline. Keep it clean and focused.
- Timeline Compression: Remaining events adjust spacing appropriately. No gaps or weird spacing after filtering.
- Context Updates: Context panel only shows filtered agent data. Super relevant data, right at your fingertips.
- Flow Analysis Update: Metrics recalculate for the filtered subset. Get a true picture of the filtered agents’ performance.
2. Comprehensive Export Functionality
Okay, we can filter, but what about getting this data out? That’s where export comes in. We want to be able to generate reports, share data, and dig deeper.
Export Timeline Data
Here's an example of the kind of detailed JSON export we're aiming for:
{
"export_metadata": {
"task_id": "demo_task_12345",
"task_title": "Business Onboarding Analysis Task",
"export_timestamp": "2025-08-14T20:30:45.123Z",
"export_version": "1.0.0",
"exported_by": "dev_toolkit_introspection",
"filter_applied": "all_agents",
"total_events": 4,
"exported_events": 4
},
"task_summary": {
"status": "completed",
"total_duration": 276000,
"agent_count": 4,
"context_updates": 4,
"efficiency_score": 0.87,
"completion_time": "2025-08-14T20:25:30.000Z"
},
"timeline_events": [
{
"sequence": 1,
"agent_name": "ProfileCollector",
"action": "Business Data Collection",
"timestamp": "2025-08-14T20:20:30.000Z",
"duration": 45000,
"status": "completed",
"confidence": 0.92,
"context_contribution": { /* Full context data */ }
},
/* ... additional events ... */
],
"flow_analysis": {
"agent_sequence": ["ProfileCollector", "DataValidator", "ComplianceAgent", "ReportGenerator"],
"critical_path": 276000,
"bottlenecks": ["ComplianceAgent"],
"optimization_opportunities": [
{
"agent": "ComplianceAgent",
"current_duration": 52000,
"optimization": "regulatory_data_caching",
"potential_savings": 18000
}
]
},
"performance_metrics": {
"timing_breakdown": {
"ProfileCollector": 45000,
"DataValidator": 38000,
"ComplianceAgent": 52000,
"ReportGenerator": 41000,
"overhead": 100000
},
"efficiency_metrics": {
"overall_efficiency": 0.87,
"agent_utilization": 0.638,
"context_quality": 0.92,
"decision_confidence": 0.895
},
"agent_performance": [
{
"agent": "ProfileCollector",
"performance_rating": 5,
"processing_time": 45000,
"data_quality": 0.92,
"optimization_status": "well_tuned"
}
/* ... additional agent metrics ... */
]
}
}
This JSON gives you a taste of the depth we're aiming for. Metadata, summaries, timeline events, flow analysis – the works!
Export Options
- Complete Timeline: Full export with all data. The whole enchilada.
- Filtered Export: Only currently filtered agents. Get just what you need.
- Summary Only: Key metrics without detailed context. For high-level overviews.
- Performance Report: Focus on timing and optimization data. Spot those bottlenecks!
Export Formats
- JSON: Machine-readable for further analysis. Perfect for tooling and scripts.
- CSV: Spreadsheet-compatible for business reports. Get those charts going!
- Markdown: Human-readable for documentation. Shareable and clean.
- PDF: Formatted report for stakeholder presentations. Polished and professional.
3. Real-Time Filter Demonstrations
Let's see this in action! We need demos that show how these filters transform the tool in real-time.
ProfileCollector Focus Demo
When Filtered to ProfileCollector Only:
- Timeline shows only business data collection event. Focused view.
- Context panel displays discovery results. Relevant context.
- Flow analysis shows: “Data Collection Phase (1 of 4 steps)”. Big picture impact.
- Performance metrics: “45s processing time, 92% confidence”. Agent-specific metrics.
Compliance Analysis Demo
When Filtered to ComplianceAgent Only:
- Timeline shows only compliance checking event. Regulatory spotlight.
- Context panel displays risk assessment and regulatory status. Compliance details.
- Flow analysis highlights: “Bottleneck Identified: 52s processing”. Spot the issue!
- Performance metrics show optimization recommendations. Actionable insights.
Data Processing Pipeline Demo
When Filtered to ProfileCollector + DataValidator:
- Timeline shows data collection and validation phases. End-to-end view.
- Context evolution from raw data to validated/enriched data. Data transformation.
- Flow analysis: “Data Pipeline: 83s total, 89% quality improvement”. Pipeline performance.
- Performance comparison between collection and validation. Phase comparisons.
4. Export Workflow Demonstration
It’s not enough to have the features; we need to show how to use them in a smooth workflow.
Complete Export Process
- Filter Selection: Choose specific agents or “Show All”. First decision.
- Export Initiation: Click “Export Timeline” button. Trigger the export.
- Format Selection: Choose JSON/CSV/Markdown/PDF. Format matters.
- Download Generation: File automatically downloads. Smooth experience.
- File Validation: Verify export contains expected data. Sanity check.
Export File Naming
Format: task-introspection-{task_id}-{filter}-{timestamp}.{ext}
Examples:
• task-introspection-demo_12345-all_agents-20250814_203045.json
• task-introspection-demo_12345-compliance_only-20250814_203045.csv
• task-introspection-demo_12345-data_pipeline-20250814_203045.md
Consistent naming helps keep things organized.
Export Validation
- File Size: Appropriate for data volume (typically 50-200KB). File size reasonableness.
- Data Integrity: All selected agent data included. No missing data!
- Format Correctness: Valid JSON/CSV/Markdown/PDF. Files are what they say they are.
- Metadata Completeness: Export info and timestamps included. Context is key.
5. Advanced Filtering Use Cases
Let's get practical! How can we actually use these features in the real world?
Debugging Scenarios
- Error Investigation: Filter to failed agents only. Zero in on the problem.
- Performance Analysis: Filter to the slowest agents. Find the bottlenecks.
- Data Quality: Filter to validation and enrichment agents. Data health check.
- Compliance Review: Filter to regulatory and risk agents. Stay compliant.
Stakeholder Reports
- Executive Summary: High-level metrics only. For the C-suite.
- Technical Deep Dive: Complete timeline with all context. For the engineers.
- Performance Report: Focus on timing and optimization. Actionable improvements.
- Compliance Report: Risk assessment and regulatory status. Compliance focused.
Development Workflows
- Agent Testing: Filter to the specific agent being developed. Unit testing in the UI!
- Integration Testing: Filter to agent handoff points. Watch the interactions.
- Performance Tuning: Filter to bottleneck agents. Optimize those critical paths.
- Quality Assurance: Filter to validation and verification steps. Ensure quality gates.
🧪 Testing Procedures
We can't just build this; we need to test it! Here are some example JavaScript tests using Playwright (but the concepts apply to any testing framework).
Filter Functionality Test
async function testAdvancedFiltering() {
await selectDemoTask();
await waitForTimelineLoad();
// Test filter dropdown
await page.click('button:has-text("Filter by Agent")');
const filterOptions = await page.locator('[role="menuitem"]').count();
expect(filterOptions).toBeGreaterThanOrEqual(4);
// Test ProfileCollector filter
await page.click('text="ProfileCollector Only"');
await page.waitForTimeout(1000);
const visibleEvents = await page.locator('[data-testid="timeline-event"]:visible').count();
expect(visibleEvents).toBe(1);
const eventCount = await page.textContent('[data-testid="event-counter"]');
expect(eventCount).toContain('1 of 4 events');
// Test filter badge
const filterBadge = await page.locator('[data-testid="active-filter-badge"]');
expect(await filterBadge.textContent()).toContain('ProfileCollector');
// Test clear filter
await page.click('button:has-text("Show All Agents")');
const allEvents = await page.locator('[data-testid="timeline-event"]:visible').count();
expect(allEvents).toBe(4);
}
This test ensures the filter dropdown works, we can select an agent, the timeline filters correctly, and we can clear the filter.
Export Functionality Test
async function testExportFunctionality() {
await selectDemoTask();
// Test complete export
const downloadPromise = page.waitForEvent('download');
await page.click('button:has-text("Export Timeline")');
await page.click('text="JSON Format"');
const download = await downloadPromise;
expect(download.suggestedFilename()).toMatch(/task-introspection.*\.json$/);
// Verify file content
const path = await download.path();
const exportData = JSON.parse(fs.readFileSync(path, 'utf8'));
expect(exportData.export_metadata).toBeDefined();
expect(exportData.timeline_events).toHaveLength(4);
expect(exportData.flow_analysis).toBeDefined();
expect(exportData.performance_metrics).toBeDefined();
}
This test checks that we can trigger an export, the filename is correct, and the exported data has the expected structure.
Filtered Export Test
async function testFilteredExport() {
// Apply filter first
await page.click('button:has-text("Filter by Agent")');
await page.click('text="ComplianceAgent Only"');
// Export filtered data
const downloadPromise = page.waitForEvent('download');
await page.click('button:has-text("Export Timeline")');
const download = await downloadPromise;
// Verify filtered export
const path = await download.path();
const exportData = JSON.parse(fs.readFileSync(path, 'utf8'));
expect(exportData.export_metadata.filter_applied).toBe('ComplianceAgent');
expect(exportData.export_metadata.exported_events).toBe(1);
expect(exportData.timeline_events).toHaveLength(1);
expect(exportData.timeline_events[0].agent_name).toBe('ComplianceAgent');
}
This test verifies that when we export after applying a filter, the exported data is indeed filtered correctly.
📸 Evidence Requirements
We need proof that this all works! Screenshots and videos are key.
Screenshots to Capture
1. Filter Dropdown Options
- File:
filter-dropdown-options.png
- Content: Open filter dropdown showing all agent options
- Details: Agent names, icons, event counts for each option
2. Single Agent Filter Applied
- File:
single-agent-filter.png
- Content: Timeline filtered to show only ProfileCollector
- Details: Filter badge, event counter “1 of 4”, compressed timeline
3. Multi-Agent Filter Applied
- File:
multi-agent-filter.png
- Content: Timeline filtered to show data processing agents
- Details: Filter badge, event counter “2 of 4”, relevant events
4. Export Dialog
- File:
export-dialog.png
- Content: Export options dialog with format selection
- Details: JSON/CSV/Markdown/PDF options, file naming preview
5. Filter Badge Display
- File:
filter-badge-display.png
- Content: Active filter badges and clear options
- Details: Visual filter indicators, clear filter button
6. Filtered Performance Metrics
- File:
filtered-performance-metrics.png
- Content: Performance metrics recalculated for filtered agents
- Details: Updated timing, efficiency for the subset of agents
Export File Examples
- Files:
sample-complete-export.json
sample-filtered-export.json
sample-export.csv
sample-export.md
- Content: Real export files demonstrating each format
- Validation: Files open correctly and contain expected data
Interactive Demo Video
- File:
advanced-filtering-export-demo.mp4
(3-4 minutes) - Content: Complete filtering and export workflow:
- Filter dropdown exploration
- Single agent filtering demonstration
- Multi-agent filtering scenarios
- Export process walkthrough
- Downloaded file validation
- Different format demonstrations
✅ Definition of Done
We know we're done when:
- [ ] Filter dropdown shows all 4 demo task agents
- [ ] Single agent filtering works correctly (shows 1 of 4 events)
- [ ] Multi-agent filtering works correctly (shows a subset of events)
- [ ] Filter badges display active filters clearly
- [ ] Timeline and metrics update when filters are applied
- [ ] Export functionality generates correct files
- [ ] Export includes complete metadata and analysis
- [ ] Filtered exports contain only selected agent data
- [ ] All export formats (JSON/CSV/Markdown/PDF) work
- [ ] File naming follows consistent convention
- [ ] Performance meets requirements (< 1s filter, < 3s export)
- [ ] All screenshots captured showing functionality
- [ ] Demo video showcases complete workflow
- [ ] Ready for Issue #6 (Documentation and Demo Video)
🔗 Business Value Delivered
This is HUGE! This issue completes the Task Introspection toolkit by providing:
- Focused Analysis: Developers can isolate specific agents for debugging. Less noise, more signal.
- Data Export: Comprehensive data for reports and further analysis. Share the insights.
- Stakeholder Reports: Filtered views appropriate for different audiences. Communicate effectively.
- Integration Ready: Exported data can feed into other analytics tools. Extend the power.
- Documentation Support: Export formats suitable for technical documentation. Keep it documented.
📊 Success Metrics
How will we measure success? Here are some key metrics:
- Filter operations complete in < 1 second. Speed matters.
- Export generation completes in < 3 seconds. Don't keep people waiting.
- All 4 agent filters work correctly. Functionality is key.
- Export files are valid and complete. Data integrity is crucial.
- Filtered timeline updates correctly show event counts. Accurate representation.
- Stakeholder feedback: "This gives us exactly the data we need for reports". The ultimate validation!
This issue transforms Task Introspection into a complete analysis and reporting platform, providing the filtering precision and export capabilities needed for professional development workflows. This isn't just a set of features; it's a whole new level of insight. Let's make it happen! 🔥