nntrivi2001
57dc91585d
Internal SmartGift build of a Claude Code monitoring dashboard. Lanes: a durable unit of parallel agent work, one per working directory, tracked across session restarts. Managed lanes are git worktrees the dashboard provisions and can reset or remove behind a three-check destroy guard and a counted preflight; adopted lanes are directories you already own and are never destroyable. Pipelines: a lane moves through pipeline stages. A stage the agent declares with evidence renders green; a stage inferred from the tool-event stream renders dashed amber and never counts as done. Detection is forward-only within a 30-minute window, and never writes the declared stage. Workspace: one page at /run with a lane grid, the selected lane's pipeline, and a full Claude console behind a disclosure.
90 lines
3.1 KiB
Markdown
90 lines
3.1 KiB
Markdown
---
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description: >
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Compare two sessions side-by-side using Agent Monitor data — per-model
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token usage (input/output/cache_read/cache_write + compaction baselines),
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pricing engine cost breakdowns, workflow intelligence (complexity scores,
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tool flow transitions, subagent effectiveness), session metadata
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(thinking_blocks, turn_count, turn_duration_ms, usage_extras), and
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full event timelines with all 10+ event types.
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---
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# Session Compare
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Compare two Claude Code sessions side-by-side using Agent Monitor data.
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## Input
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The user provides: **$ARGUMENTS**
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This may be:
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- Two session IDs: "abc123 def456"
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- "best vs worst" — compare highest and lowest productivity sessions
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- "latest 2" — compare the two most recent sessions
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- A session ID + "vs average" — compare one session against the baseline
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## Procedure
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1. **Identify sessions to compare**:
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- If two IDs given: fetch both from `http://localhost:4820/api/sessions/{id}`
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- If "best vs worst": fetch sessions, score by completion + cost efficiency, pick extremes
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- If "latest 2": `GET /api/sessions?limit=2` (default sort: most recently updated first)
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- If "vs average": fetch session + compute averages from last 50 sessions
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2. **Gather detailed data** for each session:
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- Session metadata: `GET /api/sessions/{id}`
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- Events: `GET /api/events?session_id={id}`
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- Agents: `GET /api/agents?session_id={id}`
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- Cost: `GET /api/pricing/cost/{id}`
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3. **Build comparison**:
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### Overview Comparison
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| Metric | Session A | Session B | Difference |
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|--------|-----------|-----------|-----------|
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| Status | completed | error | — |
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| Model | sonnet-4 | sonnet-4 | same |
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| Duration | 12m 34s | 45m 12s | +32m 38s |
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| Total Cost | $0.0234 | $0.1456 | +522% |
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| Events | 45 | 187 | +315% |
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| Tools Used | 8 | 12 | +4 |
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| Error Count | 0 | 7 | +7 |
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| Agents | 2 | 5 | +3 |
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### Token Comparison
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| Token Type | Session A | Session B | Difference |
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|-----------|-----------|-----------|-----------|
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| Input | N | N | ±N% |
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| Output | N | N | ±N% |
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| Cache Read | N | N | ±N% |
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| Cache Write | N | N | ±N% |
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| Efficiency | N% | N% | ±N% |
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### Tool Usage Comparison
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- Tools unique to Session A
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- Tools unique to Session B
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- Shared tools with usage count comparison
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- Error rate per tool in each session
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### Timeline Comparison
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- Side-by-side event timeline
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- Where sessions diverged in approach
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- Key decision points that led to different outcomes
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### Agent Activity Comparison
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- Agent counts and types
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- Subagent strategy differences
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- Agent success rates
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4. **Analysis**:
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- Why one session was more efficient/successful than the other
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- Key decisions that made the difference
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- Lessons to apply to future sessions
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## Output Format
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Present as a side-by-side comparison report with:
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- Executive comparison summary (which session was "better" and why)
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- Structured comparison tables with color-coded differences (green = better, red = worse)
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- A "Lessons Learned" section with actionable takeaways
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- Overall winner declaration with justification
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