universal-ai-brain/packages/core/src/schemas/agent_emotional_states.schema.json

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{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "$id": "agent_emotional_states.schema.json",
  "title": "Agent Emotional States Schema",
  "description": "Schema for agent emotional states with time-series optimization and TTL decay",
  "type": "object",
  "required": [
    "agentId",
    "timestamp",
    "emotions",
    "context",
    "cognitiveEffects",
    "decay",
    "metadata"
  ],
  "properties": {
    "_id": {
      "type": "string",
      "description": "MongoDB ObjectId"
    },
    "agentId": {
      "type": "string",
      "description": "Unique identifier for the agent",
      "minLength": 1,
      "maxLength": 100
    },
    "sessionId": {
      "type": "string",
      "description": "Session identifier for conversation tracking",
      "minLength": 1,
      "maxLength": 100
    },
    "timestamp": {
      "type": "string",
      "format": "date-time",
      "description": "When this emotional state occurred"
    },
    "expiresAt": {
      "type": "string",
      "format": "date-time",
      "description": "TTL field for automatic emotional decay"
    },
    "emotions": {
      "type": "object",
      "description": "Core emotional dimensions",
      "required": ["primary", "intensity", "valence", "arousal", "dominance"],
      "properties": {
        "primary": {
          "type": "string",
          "description": "Primary emotion",
          "enum": [
            "joy", "sadness", "anger", "fear", "surprise", "disgust", "trust", "anticipation",
            "neutral", "confusion", "frustration", "excitement", "contentment", "anxiety",
            "pride", "shame", "guilt", "relief", "hope", "despair"
          ]
        },
        "secondary": {
          "type": "array",
          "description": "Secondary or complex emotions",
          "items": {
            "type": "string",
            "enum": [
              "frustration", "excitement", "contentment", "anxiety", "pride", "shame",
              "guilt", "relief", "hope", "despair", "curiosity", "boredom", "enthusiasm",
              "disappointment", "satisfaction", "irritation", "amusement", "concern"
            ]
          },
          "maxItems": 5
        },
        "intensity": {
          "type": "number",
          "description": "Emotional intensity from 0.0 to 1.0",
          "minimum": 0.0,
          "maximum": 1.0
        },
        "valence": {
          "type": "number",
          "description": "Emotional valence from -1.0 (negative) to 1.0 (positive)",
          "minimum": -1.0,
          "maximum": 1.0
        },
        "arousal": {
          "type": "number",
          "description": "Emotional arousal from 0.0 (calm) to 1.0 (excited)",
          "minimum": 0.0,
          "maximum": 1.0
        },
        "dominance": {
          "type": "number",
          "description": "Emotional dominance from 0.0 (submissive) to 1.0 (dominant)",
          "minimum": 0.0,
          "maximum": 1.0
        }
      },
      "additionalProperties": false
    },
    "context": {
      "type": "object",
      "description": "Contextual information about the emotional trigger",
      "required": ["trigger", "triggerType", "conversationTurn"],
      "properties": {
        "trigger": {
          "type": "string",
          "description": "What caused this emotional state",
          "minLength": 1,
          "maxLength": 500
        },
        "triggerType": {
          "type": "string",
          "description": "Type of trigger that caused the emotion",
          "enum": ["user_input", "task_completion", "error", "success", "interaction", "system_event"]
        },
        "conversationTurn": {
          "type": "integer",
          "description": "Turn number in the conversation",
          "minimum": 0
        },
        "taskId": {
          "type": "string",
          "description": "Associated task identifier",
          "maxLength": 100
        },
        "workflowId": {
          "type": "string",
          "description": "Associated workflow identifier",
          "maxLength": 100
        },
        "previousEmotion": {
          "type": "string",
          "description": "Previous emotional state for transition analysis",
          "maxLength": 50
        }
      },
      "additionalProperties": false
    },
    "cognitiveEffects": {
      "type": "object",
      "description": "How this emotion affects cognitive processes",
      "required": ["attentionModification", "memoryStrength", "decisionBias", "responseStyle"],
      "properties": {
        "attentionModification": {
          "type": "number",
          "description": "How emotion affects attention (-1.0 to 1.0)",
          "minimum": -1.0,
          "maximum": 1.0
        },
        "memoryStrength": {
          "type": "number",
          "description": "How memorable this emotional event is (0.0 to 1.0)",
          "minimum": 0.0,
          "maximum": 1.0
        },
        "decisionBias": {
          "type": "number",
          "description": "How emotion biases decisions (-1.0 to 1.0)",
          "minimum": -1.0,
          "maximum": 1.0
        },
        "responseStyle": {
          "type": "string",
          "description": "How emotion affects response style",
          "enum": ["analytical", "empathetic", "assertive", "cautious", "creative"]
        }
      },
      "additionalProperties": false
    },
    "decay": {
      "type": "object",
      "description": "Emotional decay parameters",
      "required": ["halfLife", "decayFunction", "baselineReturn"],
      "properties": {
        "halfLife": {
          "type": "number",
          "description": "Minutes until emotion intensity halves",
          "minimum": 0.1,
          "maximum": 10080
        },
        "decayFunction": {
          "type": "string",
          "description": "Mathematical function for emotional decay",
          "enum": ["exponential", "linear", "logarithmic"]
        },
        "baselineReturn": {
          "type": "number",
          "description": "Minutes to return to emotional baseline",
          "minimum": 1,
          "maximum": 43200
        }
      },
      "additionalProperties": false
    },
    "metadata": {
      "type": "object",
      "description": "Metadata about emotion detection and processing",
      "required": ["framework", "model", "confidence", "source", "version"],
      "properties": {
        "framework": {
          "type": "string",
          "description": "AI framework used",
          "enum": ["mastra", "vercel-ai", "langchain", "openai-agents", "custom"]
        },
        "model": {
          "type": "string",
          "description": "AI model used for emotion detection",
          "maxLength": 100
        },
        "confidence": {
          "type": "number",
          "description": "Confidence in emotion detection (0.0 to 1.0)",
          "minimum": 0.0,
          "maximum": 1.0
        },
        "source": {
          "type": "string",
          "description": "Source of emotional state data",
          "enum": ["detected", "inferred", "user_reported", "system_generated"]
        },
        "version": {
          "type": "string",
          "description": "Schema version",
          "pattern": "^\\d+\\.\\d+\\.\\d+$"
        }
      },
      "additionalProperties": false
    },
    "createdAt": {
      "type": "string",
      "format": "date-time",
      "description": "When this document was created"
    },
    "updatedAt": {
      "type": "string",
      "format": "date-time",
      "description": "When this document was last updated"
    }
  },
  "additionalProperties": false,
  "examples": [
    {
      "agentId": "customer-support-agent-001",
      "sessionId": "session_abc123",
      "timestamp": "2024-01-15T10:30:00Z",
      "expiresAt": "2024-01-15T11:30:00Z",
      "emotions": {
        "primary": "joy",
        "secondary": ["satisfaction", "pride"],
        "intensity": 0.8,
        "valence": 0.9,
        "arousal": 0.6,
        "dominance": 0.7
      },
      "context": {
        "trigger": "Successfully resolved customer issue",
        "triggerType": "task_completion",
        "conversationTurn": 15,
        "taskId": "resolve_billing_issue_001",
        "previousEmotion": "concern"
      },
      "cognitiveEffects": {
        "attentionModification": 0.3,
        "memoryStrength": 0.9,
        "decisionBias": 0.2,
        "responseStyle": "empathetic"
      },
      "decay": {
        "halfLife": 30,
        "decayFunction": "exponential",
        "baselineReturn": 60
      },
      "metadata": {
        "framework": "mastra",
        "model": "gpt-4",
        "confidence": 0.85,
        "source": "detected",
        "version": "1.0.0"
      }
    }
  ]
}