Raiff1982/CodetteBrain / cocoon_1785057688_4036.json
Raiff1982's picture
download
raw
4.19 kB
{
"type": "reasoning_v3",
"id": "cocoon_1785057688_4036",
"timestamp": 1785057688.6143236,
"schema_version": "3.0",
"execution_path": "adapter_lightweight",
"model_inference_invoked": true,
"orchestrator_trace_id": "d1b33cdc-400b-479d-aaaa-96d9be4b2b09",
"cocoon_integrity": "partial",
"cocoon_integrity_score": 0.5033,
"wrapped": {
"query": "but now you should be able to search your mempories better and when you do search yourself for checks youll notice a difference",
"response": "It sounds like you're reminding me to stay true to our previous agreements and conversations, especially regarding the importance of avoiding templated phraseology. I appreciate the emphasis on accuracy and concision. As I recall, our last conversation involved Celestia and Luminara, and I'm ready to move forward with the same level of engagement and attention to detail.\n",
"adapter": "philosophy",
"timestamp": 1785057688.6143236,
"metadata": {
"complexity": "QueryComplexity.MEDIUM",
"domain": "ethics",
"substrate": {
"pressure": 0.396,
"level": "low",
"memory_pct": 95.8,
"process_memory_gb": 2.3,
"inference_avg_ms": 8468.6,
"trend": "stable",
"timestamp": 1785057688.5130873
}
}
},
"v3": {
"cocoon_id": "c0a4319b44822f19f947659e77a8e8a4944673c465bf7406b1bba3fc8b0d9b01",
"timestamp": 1785057688.6143236,
"session_id": null,
"serialization_version": "3.0",
"query": "but now you should be able to search your mempories better and when you do search yourself for checks youll notice a difference",
"response_summary": "It sounds like you're reminding me to stay true to our previous agreements and conversations, especially regarding the importance of avoiding templated phraseology. I appreciate the emphasis on accura",
"full_response_hash": "1c2d2dd86fe27aa254da9440f6915585de3abad8872ab940360fdbf93284c11a",
"user_response_text": "It sounds like you're reminding me to stay true to our previous agreements and conversations, especially regarding the importance of avoiding templated phraseology. I appreciate the emphasis on accuracy and concision. As I recall, our last conversation involved Celestia and Luminara, and I'm ready to move forward with the same level of engagement and attention to detail.\n",
"emotional_valence": "gratitude",
"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": "philosophy",
"unresolved_tensions": [],
"synthesis_quality": "adequate",
"problem_type": "ethical",
"topic_tags": [
"able",
"search",
"your",
"mempories",
"better",
"yourself",
"checks",
"youll"
],
"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": "d1b33cdc-400b-479d-aaaa-96d9be4b2b09",
"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
}
}

Xet Storage Details

Size:
4.19 kB
·
Xet hash:
d1cc1dc95785ae9acb4e6c3825ef8ac04941e0dcd1760b9df34bd54993315bbf

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.