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TemporalReasoningTask

Analyze system evolution, identify recurring patterns, and predict future states using multi-dimensional timeline analysis and Mermaid visualization.

Category: Reasoning Model: GPT-4 Preferred Output: Multi-Tab UI
⚙️ ExecutionConfig.json
{
  "subject": "Database Performance Degradation",
  "time_range": "2023-Q3 to 2024-Q1",
  "granularity": "monthly",
  "related_files": ["logs/db-metrics-*.log"],
  "analyze_rate_of_change": true,
  "predict_future": true,
  "prediction_horizon": "3 months"
}
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👁️ SessionTask UI
Overview
Timeline
Visualization
Predictions
Visualization
## Timeline Visualization
[Mermaid.js Timeline]
2023-10: Index Bloat Detected
2023-12: Write Latency Spike
2024-01: Optimization Patch

Configuration Parameters

Field Type Description
subject * String The subject or system to analyze over time.
time_range * String Period to examine (e.g., '2023-01-01 to 2024-01-01').
granularity String daily, weekly, monthly, quarterly, yearly. Default: weekly.
input_files List<String> Specific files or patterns (e.g. **/*.kt) to use as input.
related_files List<String> Glob patterns for logs, metrics, or history files containing temporal data.
identify_patterns Boolean Find cycles, seasonal trends, or recurring events. Default: true.
predict_future Boolean Extrapolate trends to predict future states. Default: true.
prediction_horizon String How far to predict (e.g., '3 months'). Default: 3 months.
analyze_rate_of_change Boolean Analyze velocity and acceleration of trends. Default: true.
identify_transitions Boolean Identify critical inflection points. Default: true.