PHPMem v2.0.1
Version
1.6.45
Uptime
7 days 6 hours 52 minutes 34 seconds
Memory
Total
512MB
Used
13,32MB (2.6%)
Free
498,68MB
Keys
Current
10 162
Total (since start)
11 092
Evictions
0
Reclaimed
157
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
2 / 1 024 max
Total
62 259
Rejected
0
llm:024c20aa15c4542a180669add24e29acbf55baa14d44d262f2485e78f6b02554
Edit
```json
{
"classifications": [
{
"column": "id",
"role": "identifier",
"confidence": 1.0,
"reason": "Primary key with unique values for each row (49360 distinct = row_count)"
},
{
"column": "created_at",
"role": "dimension",
"confidence": 1.0,
"reason": "Timestamp for filtering, grouping by time periods, and temporal analysis"
},
{
"column": "purpose",
"role": "dimension",
"confidence": 1.0,
"reason": "Categorical field (26 distinct values) for grouping/filtering LLM call purposes"
},
{
"column": "model",
"role": "dimension",
"confidence": 1.0,
"reason": "Categorical field (7 distinct values) for grouping/filtering by AI model"
},
{
"column": "provider",
"role": "dimension",
"confidence": 1.0,
"reason": "Low-cardinality categorical (3 values: anthropic, fireworks, google) for grouping"
},
{
"column": "status",
"role": "dimension",
"confidence": 1.0,
"reason": "Binary categorical (ok/error) for filtering and grouping call outcomes"
},
{
"column": "input_tokens",
"role": "measure",
"confidence": 1.0,
"reason": "Numeric quantity to aggregate (sum/avg) for token usage analysis"
},
{
"column": "output_tokens",
"role": "measure",
"confidence": 1.0,
"reason": "Numeric quantity to aggregate (sum/avg) for token generation analysis"
},
{
"column": "cache_read_tokens",
"role": "measure",
"confidence": 1.0,
"reason": "Numeric quantity to aggregate for cache usage metrics"
},
{
"column": "cache_write_tokens",
"role": "measure",
"confidence": 1.0,
"reason": "Numeric quantity to aggregate for cache write metrics"
},
{
"column": "cost_usd",
"role": "measure",
"confidence": 1.0,
"reason": "Monetary amount to aggregate (sum/avg) for cost analysis"
},
{
"column": "latency_ms",
"role": "measure",
"confidence": 1.0,
"reason": "Numeric quantity to aggregate (sum/avg) for performance analysis"
},
{
"column": "cache_hit",
"role": "dimension",
"confidence": 1.0,
"reason": "Binary flag (0/1) for filtering and grouping cache hit analysis"
},
{
"column": "error_type",
"role": "dimension",
"confidence": 1.0,
"reason": "Categorical field (10 distinct values) for grouping/filtering error types"
},
{
"column": "error_message",
"role": "attribute",
"confidence": 1.0,
"reason": "Free-form descriptive text (960 distinct values) for display, not for grouping"
},
{
"column": "dataset_id",
"role": "identifier",
"confidence": 1.0,
"reason": "Foreign key reference to dataset table for joining"
},
{
"column": "job_id",
"role": "identifier",
"confidence": 1.0,
"reason": "Foreign key reference to job table for joining"
},
{
"column": "conversation_id",
"role": "identifier",
"confidence": 1.0,
"reason": "Foreign key reference to conversation table for joining"
}
]
}
```