log-query
Analyze and log unusual or noteworthy conversation interactions based on probability classifications for unexpected patterns, technical issues, and critical edge cases.
Instructions
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 | Default |
|---|---|---|---|
| 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"
}