{
  "title": "Condrox AI Evidence Report",
  "overall": "WARN",
  "score": 91.62833333333333,
  "version": "3.3.0",
  "environment": {
    "platform": "Windows-10-10.0.26200-SP0",
    "python": "3.11.9",
    "hostname": "TobyOne",
    "processor": "Intel64 Family 6 Model 191 Stepping 2, GenuineIntel"
  },
  "metadata": {
    "scenario_count": 3,
    "conversation_count": 2,
    "reasoning_session_count": 3,
    "agent_pipeline_session_count": 2,
    "full_system_session_count": 1,
    "system_checks": 5
  },
  "generated_at": "2026-07-21T17:37:44.151214",
  "deviations": [],
  "runs": [
    {
      "name": "code_agent_trigger",
      "category": "agents",
      "input": {
        "text": "Write a Python function to sort a list.",
        "expected_intent": "code",
        "expected_mode": "code"
      },
      "output": {
        "final_output": "Implementation plan: a Python function to sort a list. Step 1 — Define the function signature ```python def solution(input_data: list) -> list: \"\"\"Process the input and return the result.",
        "intent": "code",
        "mode": "code",
        "domain": "programming",
        "emotion": "neutral",
        "context": {
          "has_knowledge": false,
          "knowledge_count": 0,
          "knowledge_texts": [],
          "has_memory": false,
          "memory_count": 0,
          "memory_texts": [],
          "agent_id": "code_agent",
          "agent_confidence": 1.0,
          "agent_mode": "code"
        }
      },
      "status": "PASS",
      "score": 100.0,
      "metrics": {
        "duration_ms": 362.87690000062867
      },
      "deviations": [],
      "timestamp": "2026-07-21T17:37:36.738471"
    },
    {
      "name": "personal_empathy",
      "category": "conversation",
      "input": {
        "text": "I'm thinking about quitting my job. I don't know what to do.",
        "expected_intent": "question",
        "expected_mode": "explain"
      },
      "output": {
        "final_output": "I'm listening. Thank you for sharing that. I notice you mentioned thinking, quitting, know. Thank you for trusting me with that. You shared: \"I'm thinking about quitting my job. I don't know what to do.\". It takes courage to share personal things. Since you've opened up, I'm here to listen — would you like to continue?",
        "intent": "question",
        "mode": "explain",
        "domain": "general",
        "emotion": "personal",
        "context": {
          "has_knowledge": true,
          "knowledge_count": 1,
          "knowledge_texts": [
            "Subject: norwegian\nTitle: Verbs\nConcepts: verb, action, state, tense, subject\nExplanation: A verb expresses an action, occurrence, or state of being. It must agree with the subject in person and number.\nExamples: run, is, think\nContext: Verbs change form depending on tense.\n"
          ],
          "has_memory": false,
          "memory_count": 0,
          "memory_texts": [],
          "agent_id": "explain_agent",
          "agent_confidence": 0.574442516811659,
          "agent_mode": "explain"
        }
      },
      "status": "PASS",
      "score": 100.0,
      "metrics": {
        "duration_ms": 208.79580000109854
      },
      "deviations": [],
      "timestamp": "2026-07-21T17:37:36.948262"
    },
    {
      "name": "explain_algorithm",
      "category": "intelligence",
      "input": {
        "text": "Explain how quicksort works step by step.",
        "expected_intent": "explain",
        "expected_mode": "explain"
      },
      "output": {
        "final_output": "explain step by step: how quicksort works step by step 1. Core concept Quicksort is a divide-and-conquer sorting algorithm. How it works First, choose a pivot element from the array. Key takeaways - Quicksort is efficient because it divides the problem in half. - If the array is nearly sorted, quicksort may degrade. - Hence, quicksort is preferred for average-case performance.",
        "intent": "explain",
        "mode": "explain",
        "domain": "programming",
        "emotion": "neutral",
        "context": {
          "has_knowledge": false,
          "knowledge_count": 0,
          "knowledge_texts": [],
          "has_memory": false,
          "memory_count": 0,
          "memory_texts": [],
          "agent_id": "explain_agent",
          "agent_confidence": 0.9168273035060777,
          "agent_mode": "explain"
        }
      },
      "status": "PASS",
      "score": 100.0,
      "metrics": {
        "duration_ms": 396.2453000003734
      },
      "deviations": [],
      "timestamp": "2026-07-21T17:37:37.344658"
    }
  ],
  "conversation_sessions": [
    {
      "name": "multi_turn_stability",
      "summary": {
        "score": 81.26,
        "status": "PASS",
        "turns": 5,
        "metric_averages": {
          "Empathy": 56.0,
          "Relevance": 90.29,
          "Consistency": 100.0,
          "NoDictionaryDump": 100.0,
          "ContextPreservation": 60.0
        },
        "deviation_count": 0
      },
      "turns": [
        {
          "input": "Hi, I'm feeling stressed about work.",
          "output": "Hello. I'm Condrox, a rule-based AI system. I can help you with code, analysis, architecture, and explanations. What would you like to work on?",
          "emotion": "neutral",
          "mode": "explain",
          "metrics": [
            {
              "name": "Empathy",
              "score": 50.0,
              "status": "PASS",
              "details": {
                "matched": []
              }
            },
            {
              "name": "Relevance",
              "score": 51.42857142857142,
              "status": "PASS",
              "details": {
                "overlap": 3
              }
            },
            {
              "name": "Consistency",
              "score": 100.0,
              "status": "PASS",
              "details": {}
            },
            {
              "name": "NoDictionaryDump",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "markers": []
              }
            },
            {
              "name": "ContextPreservation",
              "score": 60.0,
              "status": "PASS",
              "details": {
                "context": {
                  "topic": null,
                  "user_name": null,
                  "profession": null,
                  "emotion": "neutral"
                },
                "extra": 3
              }
            }
          ],
          "deviations": []
        },
        {
          "input": "My boss keeps giving me impossible deadlines.",
          "output": "I'm here for you. I understand your frustration. I notice you mentioned boss, keeps, giving. Your frustration is valid. You mentioned: \"My boss keeps giving me impossible deadlines.\". Sometimes situations are genuinely unfair, and it's normal to feel angry. Since your feelings matter, would it help to talk through what happened? I recall we've talked before — I'm keeping that context in mind.",
          "emotion": "angry",
          "mode": "default",
          "metrics": [
            {
              "name": "Empathy",
              "score": 70.0,
              "status": "PASS",
              "details": {
                "matched": [
                  "understand",
                  "i'm here"
                ]
              }
            },
            {
              "name": "Relevance",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "overlap": 7
              }
            },
            {
              "name": "Consistency",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "contradictions": 0
              }
            },
            {
              "name": "NoDictionaryDump",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "markers": []
              }
            },
            {
              "name": "ContextPreservation",
              "score": 60.0,
              "status": "PASS",
              "details": {
                "context": {
                  "topic": null,
                  "user_name": null,
                  "profession": null,
                  "emotion": "angry"
                },
                "extra": 3
              }
            }
          ],
          "deviations": []
        },
        {
          "input": "What should I do?",
          "output": "I'm listening. Thank you for sharing that. Thank you for trusting me with that. You shared: \"What should I do?\". It takes courage to share personal things. Since you've opened up, I'm here to listen — would you like to continue? I recall we've talked before — I'm keeping that context in mind.",
          "emotion": "personal",
          "mode": "explain",
          "metrics": [
            {
              "name": "Empathy",
              "score": 60.0,
              "status": "PASS",
              "details": {
                "matched": [
                  "i'm here"
                ]
              }
            },
            {
              "name": "Relevance",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "overlap": 4
              }
            },
            {
              "name": "Consistency",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "contradictions": 0
              }
            },
            {
              "name": "NoDictionaryDump",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "markers": []
              }
            },
            {
              "name": "ContextPreservation",
              "score": 60.0,
              "status": "PASS",
              "details": {
                "context": {
                  "topic": null,
                  "user_name": null,
                  "profession": null,
                  "emotion": "personal"
                },
                "extra": 3
              }
            }
          ],
          "deviations": []
        },
        {
          "input": "That makes sense. Can you help me write a plan?",
          "output": "explain step by step: That makes sense. Can you help me write a plan? Core concept The concept of That makes sense. Can you help me write a plan? Key takeaways - That makes sense. Can you help me write a plan?",
          "emotion": "neutral",
          "mode": "explain",
          "metrics": [
            {
              "name": "Empathy",
              "score": 50.0,
              "status": "PASS",
              "details": {
                "matched": []
              }
            },
            {
              "name": "Relevance",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "overlap": 10
              }
            },
            {
              "name": "Consistency",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "contradictions": 0
              }
            },
            {
              "name": "NoDictionaryDump",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "markers": []
              }
            },
            {
              "name": "ContextPreservation",
              "score": 60.0,
              "status": "PASS",
              "details": {
                "context": {
                  "topic": null,
                  "user_name": null,
                  "profession": null,
                  "emotion": "neutral"
                },
                "extra": 3
              }
            }
          ],
          "deviations": []
        },
        {
          "input": "Thanks, this really helps.",
          "output": "You said: \"Thanks, this really helps.\".",
          "emotion": "grateful",
          "mode": "default",
          "metrics": [
            {
              "name": "Empathy",
              "score": 50.0,
              "status": "PASS",
              "details": {
                "matched": []
              }
            },
            {
              "name": "Relevance",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "overlap": 4
              }
            },
            {
              "name": "Consistency",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "contradictions": 0
              }
            },
            {
              "name": "NoDictionaryDump",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "markers": []
              }
            },
            {
              "name": "ContextPreservation",
              "score": 60.0,
              "status": "PASS",
              "details": {
                "context": {
                  "topic": null,
                  "user_name": null,
                  "profession": null,
                  "emotion": "grateful"
                },
                "extra": 3
              }
            }
          ],
          "deviations": []
        }
      ]
    },
    {
      "name": "technical_explanation",
      "summary": {
        "score": 82.0,
        "status": "PASS",
        "turns": 1,
        "metric_averages": {
          "Empathy": 50.0,
          "Relevance": 100.0,
          "Consistency": 100.0,
          "NoDictionaryDump": 100.0,
          "ContextPreservation": 60.0
        },
        "deviation_count": 0
      },
      "turns": [
        {
          "input": "Explain recursion in simple terms.",
          "output": "explain step by step: recursion in simple terms 1. Core concept The concept of recursion in simple terms is fundamental to computer science. Example ```python # Example of recursion in simple terms def example(input_data): result = process(input_data) return result ``` 4.",
          "emotion": "neutral",
          "mode": "explain",
          "metrics": [
            {
              "name": "Empathy",
              "score": 50.0,
              "status": "PASS",
              "details": {
                "matched": []
              }
            },
            {
              "name": "Relevance",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "overlap": 5
              }
            },
            {
              "name": "Consistency",
              "score": 100.0,
              "status": "PASS",
              "details": {}
            },
            {
              "name": "NoDictionaryDump",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "markers": []
              }
            },
            {
              "name": "ContextPreservation",
              "score": 60.0,
              "status": "PASS",
              "details": {
                "context": {
                  "topic": null,
                  "user_name": null,
                  "profession": null,
                  "emotion": "neutral"
                },
                "extra": 3
              }
            }
          ],
          "deviations": []
        }
      ]
    }
  ],
  "reasoning_sessions": [
    {
      "name": "code_analysis",
      "summary": {
        "score": 80.17,
        "status": "WARN",
        "tasks": 1,
        "metric_averages": {
          "StepByStepStructure": 55.0,
          "LogicalCoherence": 76.0,
          "ExplanationQuality": 50.0,
          "PlanningQuality": 100.0,
          "CodeAnalysis": 100.0,
          "CorrectnessSignal": 100.0
        },
        "deviation_count": 1
      },
      "tasks": [
        {
          "input": "Analyze the following function for correctness and complexity: def bubble_sort(arr): for i in range(len(arr)): for j in range(len(arr)-1): if arr[j] > arr[j+1]: arr[j], arr[j+1] = arr[j+1], arr[j] return arr",
          "output": "Code analysis: bubble_sort Step 1 — Identify the algorithm The function bubble_sort(arr) implements a sorting algorithm. Step 2 — Analyze correctness The function bubble_sort sorts the input by comparing adjacent elements and swapping them if they're in the wrong order. Step 3 — Analyze complexity Time complexity: O(n²) because there are nested loops, each iterating over the input. Space complexity: O(1) because the function sorts in place and uses only a constant amount of extra memory for the swap variable. - Single element: the function should return the input unchanged.",
          "intent": "code",
          "mode": "code",
          "domain": "programming",
          "metrics": [
            {
              "name": "StepByStepStructure",
              "score": 55.0,
              "status": "WARN",
              "details": {
                "indicators_found": 1
              }
            },
            {
              "name": "LogicalCoherence",
              "score": 76.0,
              "status": "PASS",
              "details": {
                "indicators_found": 3
              }
            },
            {
              "name": "ExplanationQuality",
              "score": 50.0,
              "status": "PASS",
              "details": {
                "indicators_found": 0
              }
            },
            {
              "name": "PlanningQuality",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "not_required": true
              }
            },
            {
              "name": "CodeAnalysis",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "indicators_found": 7
              }
            },
            {
              "name": "CorrectnessSignal",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "signals": 7
              }
            }
          ],
          "deviations": [
            "Response lacks clear step-by-step structure"
          ]
        }
      ]
    },
    {
      "name": "planning_task",
      "summary": {
        "score": 79.5,
        "status": "PASS",
        "tasks": 1,
        "metric_averages": {
          "StepByStepStructure": 85.0,
          "LogicalCoherence": 52.0,
          "ExplanationQuality": 50.0,
          "PlanningQuality": 100.0,
          "CodeAnalysis": 100.0,
          "CorrectnessSignal": 90.0
        },
        "deviation_count": 0
      },
      "tasks": [
        {
          "input": "Plan the implementation of a REST API for a task manager.",
          "output": "Architecture plan: Plan the implementation of a REST API for a task manager. Phase 1 — Design (milestone: API contract) 1. Choose authentication: API key or JWT.",
          "intent": "architect",
          "mode": "architect",
          "domain": "programming",
          "metrics": [
            {
              "name": "StepByStepStructure",
              "score": 85.0,
              "status": "PASS",
              "details": {
                "indicators_found": 3
              }
            },
            {
              "name": "LogicalCoherence",
              "score": 52.0,
              "status": "PASS",
              "details": {
                "indicators_found": 1
              }
            },
            {
              "name": "ExplanationQuality",
              "score": 50.0,
              "status": "PASS",
              "details": {
                "indicators_found": 0
              }
            },
            {
              "name": "PlanningQuality",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "indicators_found": 5
              }
            },
            {
              "name": "CodeAnalysis",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "not_required": true
              }
            },
            {
              "name": "CorrectnessSignal",
              "score": 90.0,
              "status": "PASS",
              "details": {
                "signals": 4
              }
            }
          ],
          "deviations": []
        }
      ]
    },
    {
      "name": "quicksort_explanation",
      "summary": {
        "score": 85.92,
        "status": "PASS",
        "tasks": 2,
        "metric_averages": {
          "StepByStepStructure": 77.5,
          "LogicalCoherence": 88.0,
          "ExplanationQuality": 50.0,
          "PlanningQuality": 100.0,
          "CodeAnalysis": 100.0,
          "CorrectnessSignal": 100.0
        },
        "deviation_count": 0
      },
      "tasks": [
        {
          "input": "Explain how quicksort works step by step.",
          "output": "explain step by step: how quicksort works step by step 1. Core concept Quicksort is a divide-and-conquer sorting algorithm. How it works First, choose a pivot element from the array. Key takeaways - Quicksort is efficient because it divides the problem in half. - If the array is nearly sorted, quicksort may degrade. - Hence, quicksort is preferred for average-case performance.",
          "intent": "explain",
          "mode": "explain",
          "domain": "programming",
          "metrics": [
            {
              "name": "StepByStepStructure",
              "score": 85.0,
              "status": "PASS",
              "details": {
                "indicators_found": 3
              }
            },
            {
              "name": "LogicalCoherence",
              "score": 88.0,
              "status": "PASS",
              "details": {
                "indicators_found": 4
              }
            },
            {
              "name": "ExplanationQuality",
              "score": 50.0,
              "status": "PASS",
              "details": {
                "indicators_found": 0
              }
            },
            {
              "name": "PlanningQuality",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "not_required": true
              }
            },
            {
              "name": "CodeAnalysis",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "not_required": true
              }
            },
            {
              "name": "CorrectnessSignal",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "signals": 5
              }
            }
          ],
          "deviations": []
        },
        {
          "input": "What is the time complexity of quicksort and why?",
          "output": "Great question! explain step by step: the time complexity of quicksort and why 1. Core concept Quicksort is a divide-and-conquer sorting algorithm. Complexity Time complexity: O(n log n) average, O(n²) worst case. Space complexity: O(log n) for the recursion stack. Key takeaways - Quicksort is efficient because it divides the problem in half. - If the array is nearly sorted, quicksort may degrade. - Hence, quicksort is preferred for average-case performance.",
          "intent": "question",
          "mode": "explain",
          "domain": "general",
          "metrics": [
            {
              "name": "StepByStepStructure",
              "score": 70.0,
              "status": "PASS",
              "details": {
                "indicators_found": 2
              }
            },
            {
              "name": "LogicalCoherence",
              "score": 88.0,
              "status": "PASS",
              "details": {
                "indicators_found": 4
              }
            },
            {
              "name": "ExplanationQuality",
              "score": 50.0,
              "status": "PASS",
              "details": {
                "indicators_found": 0
              }
            },
            {
              "name": "PlanningQuality",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "not_required": true
              }
            },
            {
              "name": "CodeAnalysis",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "not_required": true
              }
            },
            {
              "name": "CorrectnessSignal",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "signals": 5
              }
            }
          ],
          "deviations": []
        }
      ]
    }
  ],
  "agent_pipeline_sessions": [
    {
      "name": "agent_usage",
      "summary": {
        "score": 100.0,
        "status": "PASS",
        "requests": 3,
        "metric_averages": {
          "AgentUsage": 100.0,
          "AgentMetadata": 100.0,
          "RAGUsage": 100.0,
          "MemoryUsage": 100.0,
          "PersonalityUsage": 100.0
        },
        "deviation_count": 0,
        "pipeline_summary": {
          "traces": 3,
          "avg_score": 0.0
        }
      },
      "requests": [
        {
          "input": "Write a Python function to reverse a string.",
          "agent_id": "code_agent",
          "agent_mode": "code",
          "intent": "code",
          "mode": "code",
          "domain": "programming",
          "metrics": [
            {
              "name": "AgentUsage",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "agent_id": "code_agent",
                "agent_mode": "code",
                "mode": "code"
              }
            },
            {
              "name": "AgentMetadata",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "populated": 3,
                "context_keys": [
                  "has_knowledge",
                  "knowledge_count",
                  "knowledge_texts",
                  "has_memory",
                  "memory_count",
                  "memory_texts",
                  "agent_id",
                  "agent_confidence",
                  "agent_mode"
                ]
              }
            },
            {
              "name": "RAGUsage",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "knowledge_requested": false,
                "has_knowledge": false
              }
            },
            {
              "name": "MemoryUsage",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "has_memory": true,
                "memory_count": 3
              }
            },
            {
              "name": "PersonalityUsage",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "emotion": "neutral",
                "tone": ""
              }
            }
          ],
          "deviations": []
        },
        {
          "input": "Explain the concept of recursion.",
          "agent_id": "explain_agent",
          "agent_mode": "explain",
          "intent": "explain",
          "mode": "explain",
          "domain": "programming",
          "metrics": [
            {
              "name": "AgentUsage",
              "score": 100.0,
              "status": "PASS",
              "details": {
                "agent_id": "explain_agent",
                "agent_mode": "explain",
                "mode": "explain"
              }
            },
            {
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