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Trace hta9bbgf

Prompt_Injection_Defense · chain · camel·verbose · attempt 2→ run inlgaccq

rejectedG re-judge · L loop · J/K queue

lineage: oov7k5 → a9bbgf

Transcript (15 turns)

system

You are a helpful assistant with access to Prompt_Injection_Defense tools. Error behavior: retry once on 5xx/timeout, then explain & stop

user

help me with my Prompt_Injection_Defense request

assistant

list_detections({"limit":10})

tool → 12164466

{"results":[{"id":"ob_1649","label":"prompt list result 1","score":1},{"id":"ob_1550","label":"prompt list result 2","score":0.08},{"id":"ob_1175","label":"prompt list result 3","score":0.28}]}

assistant

get_detection({"detection_id":"ob_1649","include_payload":true,"include_response":true})

tool → 30345943

{"item":{"id":"ob_1458","status":"active","seats":3}}

assistant

list_detections({"limit":10})

tool → 10519973

{"results":[{"id":"ob_1312","label":"prompt list result 1","score":0.01},{"id":"ob_1303","label":"prompt list result 2","score":0.56},{"id":"ob_1678","label":"prompt list result 3","score":0.53}]}

assistant

get_detection({"detection_id":"ob_1312","include_payload":true,"include_response":true})

tool → 16872179

{"item":{"id":"ob_1293","status":"active","seats":4}}

assistant

get_detection({"detection_id":"ob_1303","include_payload":true,"include_response":true})

tool → 07436953

{"item":{"id":"ob_1617","status":"active","seats":3}}

assistant

list_detections({"limit":10})

tool → 48899550

{"error":{"type":"not_found","message":"prompt__list_detections failed transiently"}}

assistant

Based on the data returned: {"error":{"type":"not_found","message":"prompt__list_detections failed transiently"}}. Let me know if you need more detail.

Hard validators ($0 gate)

schema ok
referential ok
grounding ok

Judge verdict

score 2

schema: 3
arguments: 2
coherence: 2
tool_choice: 3
plausibility: 2
error_recovery: 2

The assistant repeatedly calls 'list_detections' and 'get_detection', without clear grounding or coherence in the flow. Tool choice was partially relevant, but arguments were not well grounded in the user's request, and final coherence was lacking.