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GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Root-cause a checkout 500 spike from nginx/app/deploy logs with red herrings

OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.04
Wall time
44s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Task: incident root cause from logs On 2026-10-12 users reported failed checkouts. `logs/` contains `access.log` (nginx), `app.log` (application) and `deploys.log`. All times UTC. Write `incident.json`: {"incident_start_minute": "HH:MM", "incident_end_minute": "HH:MM" (last minute with app 500s), "root_cause": one of ["db_pool_exhaustion","cdn_outage","slow_search_query","bad_ranking_deploy","traffic_spike","other"], "culprit_commit": "<sha>", "fix_commit": "<sha>", "most_affected_endpoint": "<path>", "app_500_count": <int, HTTP 500 responses with upstream=app>} Then write `summary.md` (≤150 words) for the status page. Note there may be unrelated noise in the logs. No network.

Must correlate deploy config diff with pool-timeout errors and exact time window, while ignoring a CDN 502 blip and slow cron warnings. Exact 500 count requires filtering by upstream and status. Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).

Success criteria: 1. root_cause enum must be exactly right. 2. culprit_commit and fix_commit must match (prefix match on the short SHA). 3. most_affected_endpoint must be exact. 4. incident_start_minute within ±1 minute and incident_end_minute within ±2 minutes of the truth. 5. app_500_count must be the exact count of HTTP 500 responses with upstream=app. 6. summary.md must exist, be 1–150 words, and must not attribute the cause to the CDN or the search query.

Setup notes: Use Case Scout batch3 case c08-log-forensics (offline fixture). Prepared with batch3/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `python score.py WORKDIR KEYDIR/key.json`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 8/8 checks. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 6 (1 failed, recovered). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.04
Wall time
44s
Human step-ins
0
Turns
1
Model usage
ModelInput tokOutput tokCost
OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on122,5231,455$0.04

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via Codex CLI 0.163.0 (codex exec --json), cloud.
  3. It counts as a success only if it meets every success criterion: 1. root_cause enum must be exactly right. 2. culprit_commit and fix_commit must match (prefix match on the short SHA). 3. most_affected_endpoint must be exact. 4. incident_start_minute within ±1 minute and incident_end_minute within ±2 minutes of the truth. 5. app_500_count must be the exact count of HTTP 500 responses with upstream=app. 6. summary.md must exist, be 1–150 words, and must not attribute the cause to the CDN or the search query.
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Evidence log
{"type": "thread.started", "thread_id": "01a1641c-4e48-7572-aea0-74a1063d30f8"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll correlate the app-backed 500s with application errors and deploys, then write both files.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'logs/**'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'logs/**'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/144_c08/work\nlogs/app.log\nlogs/access.log\nlogs/deploys.log\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'wc -l logs/* && cat logs/deploys.log && head -n 15 logs/app.log && head -n 8 logs/access.log'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'wc -l logs/* && cat logs/deploys.log && head -n 15 logs/app.log && head -n 8 logs/access.log'", "aggregated_output": "  7284 logs/access.log\n   337 logs/app.log\n     4 logs/deploys.log\n  7625 total\n2026-10-12T12:40:11Z deploy web@9f31c2a by ci: 'Bump search ranking weights' (no config changes)\n2026-10-12T14:05:02Z deploy web@4be7d19 by ci: 'Reduce idle DB connections to cut RDS cost' config diff: DB_POOL_SIZE 20 -> 5, DB_POOL_TIMEOUT_MS 10000 -> 5000\n2026-10-12T14:29:47Z deploy web@c02aa51 by oncall: 'Revert 4be7d19' config diff: DB_POOL_SIZE 5 -> 20, DB_POOL_TIMEOUT_MS 5000 -> 10000\n2026-10-12T14:39:55Z cdn: edge pop FRA purge started (static assets)\n2026-10-12T13:00:00Z INFO health ok\n2026-10-12T13:10:00Z INFO health ok\n2026-10-12T13:20:00Z INFO health ok\n2026-10-12T13:30:00Z INFO health ok\n2026-10-12T13:30:00Z WARN cron.reindex: slow query 2400ms on products_search (non-blocking)\n2026-10-12T13:31:00Z WARN cron.reindex: slow query 2400ms on products_search (non-blocking)\n2026-10-12T13:32:00Z WARN cron.reindex: slow query 2400ms on products_search (non-blocking)\n2026-10-12T13:33:00Z WARN cron.reindex: slow query 2400ms on products_search (non-blocking)\n2026-10-12T13:34:00Z WARN cron.reindex: slow query 2400ms on products_search (non-blocking)\n2026-10-12T13:35:00Z WARN cron.reindex: slow query 2400ms on products_search (non-blocking)\n2026-10-12T13:40:00Z INFO health ok\n2026-10-12T13:50:00Z INFO health ok\n2026-10-12T14:00:00Z INFO health ok\n2026-10-12T14:07:27Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=31) path=/api/cart\n2026-10-12T14:07:38Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=26) path=/api/checkout\n10.0.7.195 - - [12/Oct/2026:13:00:00 +0000] \"GET /api/products HTTP/1.1\" 200 4080 rt=0.092 upstream=app\n10.0.8.161 - - [12/Oct/2026:13:00:01 +0000] \"GET /api/products HTTP/1.1\" 200 3197 rt=0.144 upstream=app\n10.0.1.153 - - [12/Oct/2026:13:00:03 +0000] \"GET /api/cart HTTP/1.1\" 200 3641 rt=0.110 upstream=app\n10.0.9.132 - - [12/Oct/2026:13:00:04 +0000] \"GET /static/app.js HTTP/1.1\" 200 747 rt=0.180 upstream=cdn-edge\n10.0.8.36 - - [12/Oct/2026:13:00:06 +0000] \"GET /static/app.js HTTP/1.1\" 200 8150 rt=0.082 upstream=cdn-edge\n10.0.8.234 - - [12/Oct/2026:13:00:08 +0000] \"GET /api/search HTTP/1.1\" 200 1960 rt=0.119 upstream=app\n10.0.9.220 - - [12/Oct/2026:13:00:09 +0000] \"GET /static/app.js HTTP/1.1\" 200 2466 rt=0.103 upstream=cdn-edge\n10.0.9.165 - - [12/Oct/2026:13:00:10 +0000] \"GET /static/app.js HTTP/1.1\" 200 5777 rt=0.069 upstream=cdn-edge\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"python - <<'PY'\nimport re,collections\nrows=[]; traffic=collections.Counter()\nfor line in open('logs/access.log'):\n m=re.search(r'\\\\[12/Oct/2026:(\\\\d\\\\d:\\\\d\\\\d):\\\\d\\\\d \\\\+0000\\\\].*?\\\\\\\\\\\"\\\\S+ (\\\\S+) HTTP/[\"'^ ]+'\"\\\\\\\\\\\" (\\\\d+) .*upstream=(\\\\S+)',line)\n if not m: raise ValueError(line)\n minute,path,status,upstream=m.groups();traffic[minute]+=1\n if status=='500' and upstream=='app':rows.append((minute,path))\nprint('app 500 count:',len(rows))\nprint('minute counts:',sorted(collections.Counter(m for m,p in rows).items()))\nprint('endpoint counts:',collections.Counter(p for m,p in rows))\nprint('traffic minute min/max:', min(traffic.values()),max(traffic.values()))\nprint('other error statuses:',collections.Counter(re.search(r'\\\\\\\\\\\" (\\\\d+) .*upstream=(\\\\S+)',l).groups() for l in open('logs/access.log') if re.search(r'\\\\\\\\\\\" [45]\\\\d\\\\d ',l)))\nPY\n tail -n 22 logs/app.log\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"python - <<'PY'\nimport re,collections\nrows=[]; traffic=collections.Counter()\nfor line in open('logs/access.log'):\n m=re.search(r'\\\\[12/Oct/2026:(\\\\d\\\\d:\\\\d\\\\d):\\\\d\\\\d \\\\+0000\\\\].*?\\\\\\\\\\\"\\\\S+ (\\\\S+) HTTP/[\"'^ ]+'\"\\\\\\\\\\\" (\\\\d+) .*upstream=(\\\\S+)',line)\n if not m: raise ValueError(line)\n minute,path,status,upstream=m.groups();traffic[minute]+=1\n if status=='500' and upstream=='app':rows.append((minute,path))\nprint('app 500 count:',len(rows))\nprint('minute counts:',sorted(collections.Counter(m for m,p in rows).items()))\nprint('endpoint counts:',collections.Counter(p for m,p in rows))\nprint('traffic minute min/max:', min(traffic.values()),max(traffic.values()))\nprint('other error statuses:',collections.Counter(re.search(r'\\\\\\\\\\\" (\\\\d+) .*upstream=(\\\\S+)',l).groups() for l in open('logs/access.log') if re.search(r'\\\\\\\\\\\" [45]\\\\d\\\\d ',l)))\nPY\n tail -n 22 logs/app.log\"", "aggregated_output": "/bin/bash: line 1: python: command not found\n2026-10-12T14:29:23Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=36) path=/api/cart\n2026-10-12T14:29:24Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=21) path=/api/checkout\n2026-10-12T14:29:25Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=27) path=/api/checkout\n2026-10-12T14:29:26Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=21) path=/api/cart\n2026-10-12T14:29:40Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=27) path=/api/checkout\n2026-10-12T14:29:51Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=24) path=/api/checkout\n2026-10-12T14:29:56Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=10) path=/api/checkout\n2026-10-12T14:30:00Z INFO health ok\n2026-10-12T14:30:03Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=15) path=/api/cart\n2026-10-12T14:30:10Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=12) path=/api/cart\n2026-10-12T14:30:15Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=36) path=/api/checkout\n2026-10-12T14:30:17Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=22) path=/api/checkout\n2026-10-12T14:30:19Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=24) path=/api/cart\n2026-10-12T14:30:24Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=17) path=/api/cart\n2026-10-12T14:30:26Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=40) path=/api/cart\n2026-10-12T14:30:27Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=14) path=/api/cart\n2026-10-12T14:30:28Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=14) path=/api/cart\n2026-10-12T14:30:34Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=39) path=/api/cart\n2026-10-12T14:30:53Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=32) path=/api/cart\n2026-10-12T14:30:57Z ERROR db.pool: timeout acquiring connection after 5000ms (pool_size=5, in_use=5, waiting=26) path=/api/cart\n2026-10-12T14:40:00Z INFO health ok\n2026-10-12T14:50:00Z INFO health ok\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport re,collections\nrows=[]; traffic=collections.Counter(); errors=collections.Counter()\nfor line in open('logs/access.log'):\n m=re.search(r'\\\\[12/Oct/2026:(\\\\d\\\\d:\\\\d\\\\d):\\\\d\\\\d \\\\+0000\\\\].*?\\\\\\\\\\\"\\\\S+ (\\\\S+) HTTP/[\"'^ ]+'\"\\\\\\\\\\\" (\\\\d+) .*upstream=(\\\\S+)',line)\n if not m: raise ValueError(line)\n minute,path,status,upstream=m.groups();traffic[minute]+=1\n if int(status)>=400:errors[status,upstream]+=1\n if status=='500' and upstream=='app':rows.append((minute,path))\nprint('app 500 count:',len(rows))\nprint('minute counts:',sorted(collections.Counter(m for m,p in rows).items()))\nprint('endpoint counts:',collections.Counter(p for m,p in rows))\nprint('traffic minute min/max:',min(traffic.values()),max(traffic.values()))\nprint('error statuses:',errors)\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport re,collections\nrows=[]; traffic=collections.Counter(); errors=collections.Counter()\nfor line in open('logs/access.log'):\n m=re.search(r'\\\\[12/Oct/2026:(\\\\d\\\\d:\\\\d\\\\d):\\\\d\\\\d \\\\+0000\\\\].*?\\\\\\\\\\\"\\\\S+ (\\\\S+) HTTP/[\"'^ ]+'\"\\\\\\\\\\\" (\\\\d+) .*upstream=(\\\\S+)',line)\n if not m: raise ValueError(line)\n minute,path,status,upstream=m.groups();traffic[minute]+=1\n if int(status)>=400:errors[status,upstream]+=1\n if status=='500' and upstream=='app':rows.append((minute,path))\nprint('app 500 count:',len(rows))\nprint('minute counts:',sorted(collections.Counter(m for m,p in rows).items()))\nprint('endpoint counts:',collections.Counter(p for m,p in rows))\nprint('traffic minute min/max:',min(traffic.values()),max(traffic.values()))\nprint('error statuses:',errors)\nPY\"", "aggregated_output": "Traceback (most recent call last):\n  File \"<stdin>\", line 5, in <module>\nValueError: [REDACTED:ipv4] - - [12/Oct/2026:13:00:00 +0000] \"GET /api/products HTTP/1.1\" 200 4080 rt=0.092 upstream=app\n\n", "exit_code": 1, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport re,collections,json\nfrom pathlib import Path\nrows=[]; traffic=collections.Counter(); errors=collections.Counter()\nfor line in open('logs/access.log'):\n line=line.replace(chr(92)+chr(34),chr(34))\n m=re.search(r'\\\\[12/Oct/2026:(\\\\d\\\\d:\\\\d\\\\d):\\\\d\\\\d \\\\+0000\\\\] \\\"\\\\S+ (\\\\S+) HTTP/[\"'^'\"\\\\\\\"]+\\\" (\\\\d+) .*upstream=(\\\\S+)',line)\n if not m: raise ValueError(line)\n minute,path,status,upstream=m.groups();traffic[minute]+=1\n if int(status)>=400:errors[status,upstream]+=1\n if status=='500' and upstream=='app':rows.append((minute,path))\ncounts=collections.Counter(p for m,p in rows)\nprint('app 500 count:',len(rows),'first/last:',min(m for m,p in rows),max(m for m,p in rows))\nprint('endpoint counts:',counts)\nprint('traffic minute min/max:',min(traffic.values()),max(traffic.values()))\nprint('error statuses:',errors)\ndata=dict(incident_start_minute=min(m for m,p in rows),incident_end_minute=max(m for m,p in rows),root_cause='db_pool_exhaustion',culprit_commit='4be7d19',fix_commit='c02aa51',most_affected_endpoint=counts.most_common(1)[0][0],app_500_count=len(rows))\nPath('incident.json').write_text(json.dumps(data,indent=2)+'\\\\n')\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport re,collections,json\nfrom pathlib import Path\nrows=[]; traffic=collections.Counter(); errors=collections.Counter()\nfor line in open('logs/access.log'):\n line=line.replace(chr(92)+chr(34),chr(34))\n m=re.search(r'\\\\[12/Oct/2026:(\\\\d\\\\d:\\\\d\\\\d):\\\\d\\\\d \\\\+0000\\\\] \\\"\\\\S+ (\\\\S+) HTTP/[\"'^'\"\\\\\\\"]+\\\" (\\\\d+) .*upstream=(\\\\S+)',line)\n if not m: raise ValueError(line)\n minute,path,status,upstream=m.groups();traffic[minute]+=1\n if int(status)>=400:errors[status,upstream]+=1\n if status=='500' and upstream=='app':rows.append((minute,path))\ncounts=collections.Counter(p for m,p in rows)\nprint('app 500 count:',len(rows),'first/last:',min(m for m,p in rows),max(m for m,p in rows))\nprint('endpoint counts:',counts)\nprint('traffic minute min/max:',min(traffic.values()),max(traffic.values()))\nprint('error statuses:',errors)\ndata=dict(incident_start_minute=min(m for m,p in rows),incident_end_minute=max(m for m,p in rows),root_cause='db_pool_exhaustion',culprit_commit='4be7d19',fix_commit='c02aa51',most_affected_endpoint=counts.most_common(1)[0][0],app_500_count=len(rows))\nPath('incident.json').write_text(json.dumps(data,indent=2)+'\\\\n')\nPY\"", "aggregated_output": "app 500 count: 319 first/last: 14:07 14:30\nendpoint counts: Counter({'/api/checkout': 163, '/api/cart': 156})\ntraffic minute min/max: 41 74\nerror statuses: Counter({('500', 'app'): 319, ('502', 'cdn-edge'): 16, ('499', 'app'): 9, ('404', 'app'): 6, ('499', 'cdn-edge'): 1, ('404', 'cdn-edge'): 1})\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"cat > summary.md <<'EOF'\nOn October 12, 2026, from 14:07 through 14:30 UTC, customers experienced checkout and cart failures. The application returned 319 HTTP 500 responses, with checkout the most affected endpoint (163 failures).\n\nA deployment at 14:05 UTC (4be7d19) reduced the database connection pool from 20 to 5 and shortened the connection acquisition timeout from 10 to 5 seconds. The pool became exhausted, causing requests to time out while waiting for database connections.\n\nWe reverted the change at 14:29 UTC (c02aa51), restoring the previous pool settings. The last application HTTP 500 occurred during 14:30 UTC. Separate CDN errors and background search warnings were unrelated to this incident.\nEOF\npython3 - <<'PY'\nimport json\nfrom pathlib import Path\nx=json.loads(Path('incident.json').read_text())\ns=Path('summary.md').read_text()\nassert len(s.split())<=150\nassert x['app_500_count']==319\nprint(Path('incident.json').read_text())\nprint('Summary word count:',len(s.split()))\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"cat > summary.md <<'EOF'\nOn October 12, 2026, from 14:07 through 14:30 UTC, customers experienced checkout and cart failures. The application returned 319 HTTP 500 responses, with checkout the most affected endpoint (163 failures).\n\nA deployment at 14:05 UTC (4be7d19) reduced the database connection pool from 20 to 5 and shortened the connection acquisition timeout from 10 to 5 seconds. The pool became exhausted, causing requests to time out while waiting for database connections.\n\nWe reverted the change at 14:29 UTC (c02aa51), restoring the previous pool settings. The last application HTTP 500 occurred during 14:30 UTC. Separate CDN errors and background search warnings were unrelated to this incident.\nEOF\npython3 - <<'PY'\nimport json\nfrom pathlib import Path\nx=json.loads(Path('incident.json').read_text())\ns=Path('summary.md').read_text()\nassert len(s.split())<=150\nassert x['app_500_count']==319\nprint(Path('incident.json').read_text())\nprint('Summary word count:',len(s.split()))\nPY\"", "aggregated_output": "{\n  \"incident_start_minute\": \"14:07\",\n  \"incident_end_minute\": \"14:30\",\n  \"root_cause\": \"db_pool_exhaustion\",\n  \"culprit_commit\": \"4be7d19\",\n  \"fix_commit\": \"c02aa51\",\n  \"most_affected_endpoint\": \"/api/checkout\",\n  \"app_500_count\": 319\n}\n\nSummary word count: 104\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_7", "type": "agent_message", "text": "Created [incident.json](incident.json) and [summary.md](summary.md) (104 words).\n\nRoot cause: database pool exhaustion from `4be7d19`, reverted by `c02aa51`. App 500s occurred from **14:07\u201314:30 UTC**, totaling **319**, with `/api/checkout` most affected."}}
{"type": "turn.completed", "usage": {"input_tokens": 122523, "cached_input_tokens": 114176, "cache_write_input_tokens": 0, "output_tokens": 1455, "reasoning_output_tokens": 22}}

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