Memory Exhaustion in payments-worker

Supporting evidence

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--- a/src/app/api/checkout/route.ts+++ b/src/app/api/checkout/route.ts@@ -61,19 +61,25 @@     const idempotencyKey = (request.headers.get('idempotency-key') as string) || (body as any).idempotencyKey;     const orderId = (body as any).orderId || randomUUID(); -    const orderDoc = {-      orderId,-      idempotencyKey: idempotencyKey ?? null,-      items: validation.data.items,-      total: validation.data.total,-      userId: validation.data.userId ?? null,-      user: validation.data.user ?? null,-      discounts: validation.data.discounts ?? [],-      shippingAddress: validation.data.shippingAddress ?? null,-      location: validation.data.location ?? null,-      createdAt: new Date().toISOString(),-      status: 'created',-    };+const orderDoc = {+  orderId,+  idempotencyKey: idempotencyKey?? null,+  items: [],+  total: validation.data.total,+  userId: validation.data.userId?? null,+  user: validation.data.user?? null,+  discounts: [],+  shippingAddress: validation.data.shippingAddress?? null,+  location: validation.data.location?? null,+  createdAt: new Date().toISOString(),+  status: 'created',+};++// Limit the number of items to prevent memory exhaustion+if (validation.data.items.length > 100) {+  throw new Error('Too many items in the order');+}+orderDoc.items = validation.data.items.slice(0, 100);      if (db) {       const orders = db.collection('orders'); 

patch applied cleanly; no project-local tsc available

How the agent thought, which tools it called, what it observed, and how it decided.

1. #01thoughtPlan the investigation

   I will inventory the telemetry, then correlate the timeline, then test the strongest signal as a hypothesis, then look for matching past incidents before synthesising the root cause.

2. #02tool callCall tool `extract_entities`extract_entities()

   Invoking `extract_entities()` to gather more evidence.

3. #03observationObserved result from `extract_entities`extract_entities()

   4 services, 33 severity events, 4 signal keywords.

   Inspect tool output
4. #04thoughtReflect on the inventory

   Saw 14 log lines across 4 services (api-gateway, fashion-aura-api, payments-worker, redis-cache). Level mix: {'FATAL': 2, 'ERROR': 22, 'WARN': 9}. Signal keywords: ['memory', 'exhausted', 'circuit breaker', '5xx'].

5. #05tool callCall tool `correlate_timeline`correlate_timeline()

   Invoking `correlate_timeline()` to gather more evidence.

6. #06observationObserved result from `correlate_timeline`correlate_timeline()

   8 significant events ordered chronologically. First: 2026-05-24T11:54:10.221000+00:00 (FATAL). Last: 2026-05-24T11:54:10.221000+00:00 (ERROR).

   Inspect tool output
7. #07tool callCall tool `service_dependency_hints`service_dependency_hints()

   Invoking `service_dependency_hints(services="['api-gateway', 'fashion-aura-api', 'payments-worker', 'redis-cache']")` to gather more evidence.

8. #08observationObserved result from `service_dependency_hints`service_dependency_hints()

   gateway: 1, api: 1, worker: 1, cache: 1

   Inspect tool output
9. #09thoughtForm a hypothesis

   Strongest signal looks like 'exhausted'. Grepping for it to confirm it's a real incident-driving event, not a stray warning.

10. #10tool callCall tool `search_logs`search_logs()

    Invoking `search_logs(pattern='exhausted', max_matches='5')` to gather more evidence.

11. #11observationObserved result from `search_logs`search_logs()

    2 matching line(s) for `exhausted`.

    Inspect tool output
12. #12tool callCall tool `query_similar_incidents`query_similar_incidents()

    Invoking `query_similar_incidents(signature='memory exhausted circuit breaker api-gateway fashion-aura-api', limit='3')` to gather more evidence.

13. #13observationObserved result from `query_similar_incidents`query_similar_incidents()

    INC-7D1BF9FF (P1)

    Inspect tool output
14. #14thoughtFound related history

    Local store has 1 similar past incident(s). I'll let the analysis lean on them.

15. #15thoughtPivot to forensic analysis

    I have enough surface-level signal. Now reversing causality: find patient zero, map the blast radius, and hypothesize what actually birthed this incident.

16. #16tool callCall tool `trace_origin`trace_origin()

    Invoking `trace_origin()` to gather more evidence.

17. #17observationObserved result from `trace_origin`trace_origin()

    {'event': {'timestamp': '2026-05-24T11:54:10.221000+00:00', 'level': 'WARN', 'text': '2026-05-24T11:54:10.221Z WARN fashion-aura-api WARN api-gateway Upstream fashion-aura-api 5xx rate 38…

    Inspect tool output
18. #18tool callCall tool `compute_blast_radius`compute_blast_radius()

    Invoking `compute_blast_radius(services="['api-gateway', 'fashion-aura-api', 'payments-worker', 'redis-cache']", roles="{'gateway': ['api-gateway'], 'api': ['fashion-aura-api'], 'worker': ['payments-…", log_entities="{'services': ['api-gateway', 'fashion-aura-api', 'payments-worker', 'redis-cach…")` to gather more evidence.

19. #19observationObserved result from `compute_blast_radius`compute_blast_radius()

    {'entities': [{'kind': 'service', 'name': 'api-gateway', 'role': 'gateway', 'impact': 'Touched as gateway'}, {'kind': 'service', 'name': 'fashion-aura-api', 'role': 'api', 'impact': 'Touched as api'}…

    Inspect tool output
20. #20tool callCall tool `infer_trigger`infer_trigger()

    Invoking `infer_trigger(log_entities="{'services': ['api-gateway', 'fashion-aura-api', 'payments-worker', 'redis-cach…")` to gather more evidence.

21. #21observationObserved result from `infer_trigger`infer_trigger()

    {'trigger': 'Resource exhaustion under sustained load', 'evidence': 'Pool/queue exhaustion appears without an upstream trigger.', 'confidence': 0.6}

    Inspect tool output
22. #22decisionForensic picture is complete

    Patient zero located (2026-05-24T11:54:10.221000+00:00). Blast radius: 5 entities. Trigger hypothesis: Resource exhaustion under sustained load (60% confidence).

23. #23decisionHand off to root-cause synthesis

    Observations + forensic context are sufficient. Synthesising the final analysis now and attaching the forensic report.

24. #24thoughtSelf-check passed

    Analysis is grounded - every affected service it names appears in the raw telemetry I inventoried.

25. #25decisionAnnotate with related history

    Linking 1 similar prior incident(s) into the context for the responder.