Raiff1982/CodetteBrain / cocoon_1785108256_1117.json
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{
"type": "reasoning_v3",
"id": "cocoon_1785108256_1117",
"timestamp": 1785108256.5196788,
"schema_version": "3.0",
"execution_path": "adapter_lightweight",
"model_inference_invoked": true,
"orchestrator_trace_id": "9c5edaa3-cb63-4aa9-a3fe-fef95a385c8a",
"cocoon_integrity": "partial",
"cocoon_integrity_score": 0.5033,
"wrapped": {
"query": "ah but it can also lead to you leaving out minute details as well",
"response": "Based on our conversation history, I think I perform reasonably well compared to other AI assistants, especially since my design allows for a multi-perspective approach. However, I wouldn't make a definitive comparison without looking up the latest benchmarks and reviews online.\n",
"adapter": "multi_perspective",
"timestamp": 1785108256.5196788,
"metadata": {
"complexity": "QueryComplexity.MEDIUM",
"domain": "general",
"substrate": {
"pressure": 0.383,
"level": "low",
"memory_pct": 95.8,
"process_memory_gb": 0.95,
"inference_avg_ms": 8280.7,
"trend": "stable",
"timestamp": 1785108256.418554
}
}
},
"v3": {
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"timestamp": 1785108256.5196788,
"session_id": null,
"serialization_version": "3.0",
"query": "ah but it can also lead to you leaving out minute details as well",
"response_summary": "Based on our conversation history, I think I perform reasonably well compared to other AI assistants, especially since my design allows for a multi-perspective approach. However, I wouldn't make a def",
"full_response_hash": "c32f4a05f76e2b7ea7465b6d51f49ee59ce65fd5bff009b15276c280b051c209",
"user_response_text": "Based on our conversation history, I think I perform reasonably well compared to other AI assistants, especially since my design allows for a multi-perspective approach. However, I wouldn't make a definitive comparison without looking up the latest benchmarks and reviews online.\n",
"emotional_valence": "curiosity",
"importance_score": 5.0,
"confidence": 0.75,
"epsilon_value": 0.35,
"gamma_coherence": 0.65,
"eta_score": null,
"psi_r": 0.0,
"active_perspectives": [],
"dominant_perspective": "multi_perspective",
"unresolved_tensions": [],
"synthesis_quality": "adequate",
"problem_type": "unknown",
"topic_tags": [
"also",
"lead",
"leaving",
"minute",
"details",
"well"
],
"project_context": null,
"user_preferences_inferred": {},
"open_threads": [],
"contradicts_cocoon_ids": [],
"references_cocoon_ids": [],
"is_hallucination_flagged": false,
"is_sycophancy_flagged": false,
"is_verified": false,
"execution_path": "adapter_lightweight",
"model_inference_invoked": true,
"orchestrator_trace_id": "9c5edaa3-cb63-4aa9-a3fe-fef95a385c8a",
"runtime_version": "",
"metrics_population_status": "partial",
"reason_for_fallback": null,
"cocoon_integrity": "partial",
"cocoon_integrity_score": 0.5033,
"echo_risk": "unknown",
"perspective_collapse_detected": false,
"pairwise_tensions": {},
"perspective_coverage": {},
"aegis_framework_scores": {},
"aegis_dominant_framework": "",
"aegis_ethical_conflict_notes": [],
"aegis_output_changed": false,
"guardian_safety_status": "",
"guardian_trust_calibration": "",
"nexus_risk_level": "",
"nexus_confidence": 0.0,
"synthesis_convergences": [],
"synthesis_divergences": [],
"synthesis_tradeoffs": [],
"synthesis_recommended_position": "",
"synthesis_uncertainty_notes": [],
"time_travel_metrics": null
}
}

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