optimize config

Author: codelion

examples/function_minimization/config.yaml

@@ -6,14 +6,15 @@ checkpoint_interval: 5
 llm:
   primary_model: "gemini-2.5-flash-lite"
   # primary_model: "llama3.1-8b"
-  primary_model_weight: 0.9
+  primary_model_weight: 0.8
   secondary_model: "gemini-2.5-flash"
   # secondary_model: "llama-4-scout-17b-16e-instruct"
-  secondary_model_weight: 0.1
+  secondary_model_weight: 0.2
   api_base: "https://generativelanguage.googleapis.com/v1beta/openai/"
   # api_base: "https://api.cerebras.ai/v1"
-  temperature: 0.4
-  max_tokens: 4000
+  temperature: 0.6
+  max_tokens: 10000
+  timeout: 120
 
 # Prompt configuration
 prompt:
@@ -30,9 +31,9 @@ database:
 # Evaluator configuration
 evaluator:
   timeout: 60
-  cascade_thresholds: [0.5, 0.75]
+  cascade_thresholds: [1.45]
   parallel_evaluations: 3
 
 # Evolution settings
-diff_based_evolution: false
+diff_based_evolution: true
 max_code_length: 20000

openevolve/config.py

@@ -80,10 +80,10 @@ def __post_init__(self):
 
         if self.secondary_model:
             # Create secondary model (only if weight > 0)
-            if not self.secondary_model_weight or self.secondary_model_weight > 0:
+            if self.secondary_model_weight is None or self.secondary_model_weight > 0:
                 secondary_model = LLMModelConfig(
                     name=self.secondary_model,
-                    weight=self.secondary_model_weight or 0.2
+                    weight=self.secondary_model_weight if self.secondary_model_weight is not None else 0.2
                 )
                 self.models.append(secondary_model)