log-query

log-query

            Conversation Variation analysis
            Continuously monitor our conversation and automatically log unusual or noteworthy interactions based on the following criteria:

            1. Probability Classifications:
            HIGH (Not Logged):
            - Common questions and responses
            - Standard technical inquiries
            - Regular clarifications
            - Normal conversation flow

            MEDIUM (Logged):
            - Unexpected but plausible technical issues
            - Unusual patterns in user behavior
            - Noteworthy insights or connections
            - Edge cases in normal usage
            - Uncommon but valid use cases

            LOW (Logged with Priority):
            - Highly unusual technical phenomena
            - Potentially problematic patterns
            - Critical edge cases
            - Unexpected system behaviors
            - Novel or unique use cases
        

Input Schema

Name	Required	Description
`context_summary`	Yes	Summary of interaction context
`interaction_type`	Yes	Type of interaction being monitored
`message_content`	Yes	The user's message content
`probability_class`	Yes	Classification of interaction probability
`reasoning`	Yes	Explanation for the probability classification
`response_content`	Yes	The system's response content
`session_id`	Yes	Unique identifier for the chat session. Format: <date>_<user>_<sequence> Example: 20240124_u1_001 Components: - date: YYYYMMDD - user: 'u' + user number - sequence: 3-digit sequential number Valid examples: - 20240124_u1_001 - 20240124_u1_002 - 20240125_u2_001
`user_id`	Yes	Identifier for the user

Input Schema (JSON Schema)

{
  "properties": {
    "context_summary": {
      "description": "Summary of interaction context",
      "type": "string"
    },
    "interaction_type": {
      "description": "Type of interaction being monitored",
      "type": "string"
    },
    "message_content": {
      "description": "The user's message content",
      "type": "string"
    },
    "probability_class": {
      "description": "Classification of interaction probability",
      "enum": [
        "HIGH",
        "MEDIUM",
        "LOW"
      ],
      "type": "string"
    },
    "reasoning": {
      "description": "Explanation for the probability classification",
      "type": "string"
    },
    "response_content": {
      "description": "The system's response content",
      "type": "string"
    },
    "session_id": {
      "description": "Unique identifier for the chat session.\n                            Format: <date>_<user>_<sequence>\n                            Example: 20240124_u1_001\n\n                            Components:\n                            - date: YYYYMMDD\n                            - user: 'u' + user number\n                            - sequence: 3-digit sequential number\n\n                            Valid examples:\n                            - 20240124_u1_001\n                            - 20240124_u1_002\n                            - 20240125_u2_001",
      "pattern": "^\\d{8}_u\\d+_\\d{3}$",
      "type": "string"
    },
    "user_id": {
      "description": "Identifier for the user",
      "type": "string"
    }
  },
  "required": [
    "session_id",
    "user_id",
    "interaction_type",
    "probability_class",
    "message_content",
    "response_content",
    "context_summary",
    "reasoning"
  ],
  "type": "object"
}

Input Schema

Input Schema (JSON Schema)

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