WIP almost done with track planning
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conductor/tracks/tool_usage_analytics_20260306/index.md
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conductor/tracks/tool_usage_analytics_20260306/index.md
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# Tool Usage Analytics
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**Track ID:** tool_usage_analytics_20260306
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**Status:** Planned
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**See Also:**
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- [Spec](./spec.md)
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- [Plan](./plan.md)
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{
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"id": "tool_usage_analytics_20260306",
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"name": "Tool Usage Analytics",
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"status": "planned",
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"created_at": "2026-03-06T00:00:00Z",
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"updated_at": "2026-03-06T00:00:00Z",
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"type": "feature",
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"priority": "medium"
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}
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# Implementation Plan: Tool Usage Analytics (tool_usage_analytics)
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# Implementation Plan: Tool Usage Analytics (tool_usage_analytics_20260306)
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## Phase 1: Research & Design
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- [ ] Task: Analyze existing backend implementation
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- [ ] Task: Design GUI/UX approach
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- [ ] Task: Conductor - User Manual Verification
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## Phase 1: Data Collection
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- [ ] Task: Initialize MMA Environment
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- [ ] Task: Verify tool_log_callback
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- WHERE: src/ai_client.py
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- WHAT: Check existing logging
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## Phase 2: Implementation
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- [ ] Task: Implement feature
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- [ ] Task: Write tests
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- [ ] Task: Conductor - User Manual Verification
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## Phase 2: Aggregation
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- [ ] Task: Implement usage aggregation
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- WHERE: src/gui_2.py or new module
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- WHAT: Count tools, avg times, failures
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- HOW: Process tool_log entries
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- SAFETY: Efficient data structures
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## Phase 3: Verification
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- [ ] Task: Run test suite
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- [ ] Task: Verify coverage
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- [ ] Task: Conductor - Phase Completion Verification
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## Phase 3: Visualization
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- [ ] Task: Render analytics
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- WHERE: src/gui_2.py
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- WHAT: Charts and tables
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- HOW: imgui tables, plot_lines
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- SAFETY: Handle empty data
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## Phase 4: Verification
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- [ ] Task: Test analytics
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- [ ] Task: Conductor - Phase Verification
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# Track Specification: Tool Usage Analytics
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# Track Specification: Tool Usage Analytics (tool_usage_analytics_20260306)
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## Overview
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Analytics panel for tool usage patterns.
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Analytics panel showing most-used tools, average execution time, and failure rates. Uses existing tool_log_callback data.
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## Current State Audit
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### Already Implemented
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- tool_log_callback
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- Tool execution tracking
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### Gaps to Fill
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- No analytics UI
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- No aggregation
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## Goals
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- Most-used tools ranking
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- Average execution time
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- Failure rate tracking
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## Architectural Constraints
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- **Efficient Aggregation**: Analytics MUST use efficient data structures.
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- **Memory Bounds**: History MUST be bounded to prevent growth.
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## Functional Requirements
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- Usage histograms
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- Time series data
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- Failure logging
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- **Usage Ranking**: Show most-used tools ranked by count.
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- **Avg Time**: Display average execution time per tool.
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- **Failure Rate**: Track and display failure percentage per tool.
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- **Time Series**: Show usage over time.
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## Non-Functional Requirements
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- Efficient data aggregation
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## Acceptance Criteria
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- [ ] Tool ranking displayed.
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- [ ] Average times accurate.
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- [ ] Failure rates tracked.
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- [ ] Time series visualization works.
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- [ ] Uses existing tool_log_callback.
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