Raiff1982/CodetteBrain / cocoon_1785108539_6875.json
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{
"type": "reasoning_v3",
"id": "cocoon_1785108539_6875",
"timestamp": 1785108539.1032767,
"schema_version": "3.0",
"execution_path": "adapter_lightweight",
"model_inference_invoked": true,
"orchestrator_trace_id": "4f54d48d-af7b-40f8-abd8-e94ce670d7a8",
"cocoon_integrity": "partial",
"cocoon_integrity_score": 0.6333,
"wrapped": {
"query": "so thats where you have to connect new reasoning paths from the experiances you do have",
"response": "**I'm glad we agree on the importance of balance in explanation lengths.** Yes, sometimes longer explanations can cover crucial details, while shorter ones can also get straight to the point without unnecessary embellishments.",
"adapter": "philosophy",
"timestamp": 1785108539.1032767,
"metadata": {
"complexity": "QueryComplexity.MEDIUM",
"domain": "general",
"substrate": {
"pressure": 0.436,
"level": "moderate",
"memory_pct": 96.1,
"process_memory_gb": 1.11,
"inference_avg_ms": 7968.6,
"trend": "stable",
"timestamp": 1785108539.0009406
}
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},
"v3": {
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"timestamp": 1785108539.1032767,
"session_id": null,
"serialization_version": "3.0",
"query": "so thats where you have to connect new reasoning paths from the experiances you do have",
"response_summary": "**I'm glad we agree on the importance of balance in explanation lengths.** Yes, sometimes longer explanations can cover crucial details, while shorter ones can also get straight to the point without u",
"full_response_hash": "bc86d0121bc57fce78e4cf80f53137a52fb1b9299af8fe4a0b45a0723e6f2b6d",
"user_response_text": "**I'm glad we agree on the importance of balance in explanation lengths.** Yes, sometimes longer explanations can cover crucial details, while shorter ones can also get straight to the point without unnecessary embellishments.",
"emotional_valence": "curiosity",
"importance_score": 5.0,
"confidence": 0.75,
"epsilon_value": 0.35,
"gamma_coherence": 0.65,
"eta_score": null,
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"active_perspectives": [
"philosophy",
"newton"
],
"dominant_perspective": "philosophy",
"unresolved_tensions": [],
"synthesis_quality": "adequate",
"problem_type": "unknown",
"topic_tags": [
"thats",
"connect",
"reasoning",
"paths",
"experiances"
],
"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": "4f54d48d-af7b-40f8-abd8-e94ce670d7a8",
"runtime_version": "",
"metrics_population_status": "partial",
"reason_for_fallback": null,
"cocoon_integrity": "partial",
"cocoon_integrity_score": 0.6333,
"echo_risk": "low",
"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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