Context Analysis Tools

[jayscambler]

Context & Importance

As ContextFrame datasets grow, users need tools to understand their context landscape: coverage gaps, inconsistencies, relationship patterns. This module provides insights that improve context quality and agent performance.

Why This Matters

• Quality Assurance: Find and fix context gaps
• Optimization: Identify redundant or conflicting context
• Understanding: Visualize knowledge structure
• ROI Measurement: Prove context impact on agent performance

User Needs

1. Manager: "Show me context coverage for our product docs"
2. AI Engineer: "Find documents with conflicting context"
3. Analyst: "Visualize our knowledge graph structure"

Acceptance Criteria

• ContextAnalyzer class with pluggable analyzers
• Content analysis:
  • Readability scores (Flesch, SMOG)
  • Complexity metrics
  • Context completeness scoring
• Coverage analysis:
  • Find frames missing key context fields
  • Identify orphaned frames (no relationships)
  • Detect context deserts (topics with low coverage)
• Consistency checking:
  • Find conflicting context statements
  • Detect duplicate context
  • Identify outdated context (via timestamps)
• Relationship analysis:
  • Generate knowledge graphs
  • Find central/bridge documents
  • Detect isolated clusters
• Temporal analysis:
  • Context evolution over time
  • Staleness detection
  • Update frequency patterns
• Export insights as:
  • JSON reports
  • Plotly visualizations
  • Executive summaries

Success Metrics

• Analyze 10k frames in <2 minutes
• Identify 95% of context gaps
• Actionable recommendations for improvement

[linear]

CFOS-29 Context Analysis Tools