Spaces:
Runtime error
Runtime error
Update memory_drift_diagnostician.py
Browse files
memory_drift_diagnostician.py
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
import logging
|
| 2 |
import numpy as np
|
| 3 |
-
from typing import Dict, Any, List
|
| 4 |
from agentic_reliability_framework.runtime.agents.base import BaseAgent, AgentSpecialization
|
| 5 |
from ai_event import AIEvent
|
| 6 |
|
|
@@ -19,7 +19,15 @@ class MemoryDriftDiagnosticianAgent(BaseAgent):
|
|
| 19 |
self.zscore_threshold = zscore_threshold
|
| 20 |
self._retrieval_scores_history: List[float] = []
|
| 21 |
|
| 22 |
-
async def analyze(self, event: AIEvent) -> Dict[str, Any]:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
try:
|
| 24 |
if not event.retrieval_scores:
|
| 25 |
return {
|
|
@@ -32,7 +40,9 @@ class MemoryDriftDiagnosticianAgent(BaseAgent):
|
|
| 32 |
current_avg = float(np.mean(event.retrieval_scores))
|
| 33 |
self._retrieval_scores_history.append(current_avg)
|
| 34 |
|
| 35 |
-
if
|
|
|
|
|
|
|
| 36 |
self._retrieval_scores_history.pop(0)
|
| 37 |
|
| 38 |
if len(self._retrieval_scores_history) < 10:
|
|
|
|
| 1 |
import logging
|
| 2 |
import numpy as np
|
| 3 |
+
from typing import Dict, Any, List, Optional
|
| 4 |
from agentic_reliability_framework.runtime.agents.base import BaseAgent, AgentSpecialization
|
| 5 |
from ai_event import AIEvent
|
| 6 |
|
|
|
|
| 19 |
self.zscore_threshold = zscore_threshold
|
| 20 |
self._retrieval_scores_history: List[float] = []
|
| 21 |
|
| 22 |
+
async def analyze(self, event: AIEvent, context_window: Optional[int] = None) -> Dict[str, Any]:
|
| 23 |
+
"""
|
| 24 |
+
Analyze drift using retrieval scores.
|
| 25 |
+
Args:
|
| 26 |
+
event: AIEvent containing retrieval_scores.
|
| 27 |
+
context_window: Optional override of history window size.
|
| 28 |
+
Returns:
|
| 29 |
+
Dictionary with drift detection findings.
|
| 30 |
+
"""
|
| 31 |
try:
|
| 32 |
if not event.retrieval_scores:
|
| 33 |
return {
|
|
|
|
| 40 |
current_avg = float(np.mean(event.retrieval_scores))
|
| 41 |
self._retrieval_scores_history.append(current_avg)
|
| 42 |
|
| 43 |
+
# Use provided context_window if given, else default
|
| 44 |
+
window = context_window if context_window is not None else self.history_window
|
| 45 |
+
if len(self._retrieval_scores_history) > window:
|
| 46 |
self._retrieval_scores_history.pop(0)
|
| 47 |
|
| 48 |
if len(self._retrieval_scores_history) < 10:
|