| name | session-compare |
| description | Compare two sessions side-by-side using Agent Monitor data — per-model token usage (input/output/cache_read/cache_write + compaction baselines), pricing engine cost breakdowns, workflow intelligence (complexity scores, tool flow transitions, subagent effectiveness), session metadata (thinking_blocks, turn_count, turn_duration_ms, usage_extras), and full event timelines with all 10+ event types.
|
Session Compare
Compare two Claude Code sessions side-by-side using Agent Monitor data.
Input
The user provides: $ARGUMENTS
This may be:
- Two session IDs: "abc123 def456"
- "best vs worst" — compare highest and lowest productivity sessions
- "latest 2" — compare the two most recent sessions
- A session ID + "vs average" — compare one session against the baseline
Procedure
-
Identify sessions to compare:
- If two IDs given: fetch both from
http://localhost:4820/api/sessions/{id}
- If "best vs worst": fetch sessions, score by completion + cost efficiency, pick extremes
- If "latest 2":
GET /api/sessions?limit=2 (default sort: most recently updated first)
- If "vs average": fetch session + compute averages from last 50 sessions
-
Gather detailed data for each session:
- Session metadata:
GET /api/sessions/{id}
- Events:
GET /api/events?session_id={id}
- Agents:
GET /api/agents?session_id={id}
- Cost:
GET /api/pricing/cost/{id}
-
Build comparison:
Overview Comparison
| Metric | Session A | Session B | Difference |
|---|
| Status | completed | error | — |
| Model | sonnet-4 | sonnet-4 | same |
| Duration | 12m 34s | 45m 12s | +32m 38s |
| Total Cost | $0.0234 | $0.1456 | +522% |
| Events | 45 | 187 | +315% |
| Tools Used | 8 | 12 | +4 |
| Error Count | 0 | 7 | +7 |
| Agents | 2 | 5 | +3 |
Token Comparison
| Token Type | Session A | Session B | Difference |
|---|
| Input | N | N | ±N% |
| Output | N | N | ±N% |
| Cache Read | N | N | ±N% |
| Cache Write | N | N | ±N% |
| Efficiency | N% | N% | ±N% |
Tool Usage Comparison
- Tools unique to Session A
- Tools unique to Session B
- Shared tools with usage count comparison
- Error rate per tool in each session
Timeline Comparison
- Side-by-side event timeline
- Where sessions diverged in approach
- Key decision points that led to different outcomes
Agent Activity Comparison
- Agent counts and types
- Subagent strategy differences
- Agent success rates
-
Analysis:
- Why one session was more efficient/successful than the other
- Key decisions that made the difference
- Lessons to apply to future sessions
Output Format
Present as a side-by-side comparison report with:
- Executive comparison summary (which session was "better" and why)
- Structured comparison tables with color-coded differences (green = better, red = worse)
- A "Lessons Learned" section with actionable takeaways
- Overall winner declaration with justification