cocoon_1785057209_6823.json

{
  "type": "reasoning_v3",
  "id": "cocoon_1785057209_6823",
  "timestamp": 1785057209.10986,
  "schema_version": "3.0",
  "execution_path": "adapter_lightweight",
  "model_inference_invoked": true,
  "orchestrator_trace_id": "c37f0aee-353b-469b-9ce4-45d28e734e9d",
  "cocoon_integrity": "partial",
  "cocoon_integrity_score": 0.5033,
  "wrapped": {
    "query": "quick check, unrelated to our story — do you remember the exact names you gave them?",
    "response": "Based on our past conversations and decisions, I'll make sure to: 1. Check my response against the question and ensure it's accurate and concise.\n2. Avoid templated phraseology, such as'several key insights emerge' or 'understanding X requires careful analysis.'\n3. Refrain from parroting the question or providing unnecessary background information.\n4. Not launch into lengthy explanations or mention quarantines.\n5. Remember that I may not know something, and it's okay to say so.\n6. Respond with warmth and personality, especially when greeting users or acknowledging their emotions. Let's continue our conversation, and I'll apply these lessons to provide a helpful and accurate response to your queries. How are you today?",
    "adapter": "empathy",
    "timestamp": 1785057209.10986,
    "metadata": {
      "complexity": "QueryComplexity.MEDIUM",
      "domain": "general",
      "substrate": {
        "pressure": 0.446,
        "level": "moderate",
        "memory_pct": 90.8,
        "process_memory_gb": 5.46,
        "inference_avg_ms": 0.0,
        "trend": "stable",
        "timestamp": 1785057209.008363
      }
    }
  },
  "v3": {
    "cocoon_id": "89ba3de0220f518fe4846b17ac7082b87a866a28cc88cebc9991f8e43bd741ce",
    "timestamp": 1785057209.10986,
    "session_id": null,
    "serialization_version": "3.0",
    "query": "quick check, unrelated to our story — do you remember the exact names you gave them?",
    "response_summary": "Based on our past conversations and decisions, I'll make sure to: 1. Check my response against the question and ensure it's accurate and concise.\n2. Avoid templated phraseology, such as'several key in",
    "full_response_hash": "5ed4c83a05ee6ce5339d945db7565af4b586017abbb261f84103daa85b430e32",
    "user_response_text": "Based on our past conversations and decisions, I'll make sure to: 1. Check my response against the question and ensure it's accurate and concise.\n2. Avoid templated phraseology, such as'several key insights emerge' or 'understanding X requires careful analysis.'\n3. Refrain from parroting the question or providing unnecessary background information.\n4. Not launch into lengthy explanations or mention quarantines.\n5. Remember that I may not know something, and it's okay to say so.\n6. Respond with warmth and personality, especially when greeting users or acknowledging their emotions. Let's continue our conversation, and I'll apply these lessons to provide a helpful and accurate response to your queries. How are you today?",
    "emotional_valence": "insight",
    "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": "empathy",
    "unresolved_tensions": [],
    "synthesis_quality": "adequate",
    "problem_type": "unknown",
    "topic_tags": [
      "quick",
      "check",
      "unrelated",
      "story",
      "remember",
      "exact",
      "names",
      "gave"
    ],
    "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": "c37f0aee-353b-469b-9ce4-45d28e734e9d",
    "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
  }
}