Evolution GEPA

Triple-LM Pipeline Performance & Pattern Detection

GEPA Active
Task Router
Load78%
Context Weaver
Load65%
Response Synthesizer
Load82%
Model A: Router
Model B: Context
Model C: Response

Active Improvements

4 detected
Token Efficiency Optimization
Pattern detected: Context window usage reduced by 15% through improved pruning strategy
85%
Target: 90%
Tool Call Routing
New pattern: Adapter selection accuracy improved with learned routing tables
94%
Target: 95%
Latency Reduction
Response time variance decreased through adaptive timeout handling
1.2s
Target: 1.0s
Context Preservation
Long-running session coherence improved with periodic context reinforcement
91%
Target: 95%

Pattern Detection Metrics

Task Decomposition94%
Context Management88%
Tool Selection91%
Response Quality96%
Error Recovery87%

Weekly Performance

Mon
Tue
Wed
Thu
Fri
Sat
Sun
Success Rate
Latency
+12.3%
Avg Improvement
47
Patterns Detected
8
Active Optimizations