Fix func min example

examples/function_minimization/config.yaml

@@ -1,27 +1,24 @@
 # Configuration for function minimization example
-max_iterations: 100
-checkpoint_interval: 10
-log_level: "INFO"
+max_iterations: 50
+checkpoint_interval: 5
 
 # LLM configuration
 llm:
-  # primary_model: "gemini-2.0-flash-lite"
-  primary_model: "llama3.1-8b"
+  primary_model: "gemini-2.5-flash-lite"
+  # primary_model: "llama3.1-8b"
   primary_model_weight: 0.8
-  # secondary_model: "gemini-2.0-flash"
-  secondary_model: "llama-4-scout-17b-16e-instruct"
+  secondary_model: "gemini-2.5-flash"
+  # secondary_model: "llama-4-scout-17b-16e-instruct"
   secondary_model_weight: 0.2
-  # api_base: "https://generativelanguage.googleapis.com/v1beta/openai/"
-  api_base: "https://api.cerebras.ai/v1"
+  api_base: "https://generativelanguage.googleapis.com/v1beta/openai/"
+  # api_base: "https://api.cerebras.ai/v1"
   temperature: 0.7
-  top_p: 0.95
-  max_tokens: 4096
+  max_tokens: 16000
+  timeout: 120
 
 # Prompt configuration
 prompt:
   system_message: "You are an expert programmer specializing in optimization algorithms. Your task is to improve a function minimization algorithm to find the global minimum of a complex function with many local minima. The function is f(x, y) = sin(x) * cos(y) + sin(x*y) + (x^2 + y^2)/20. Focus on improving the search_algorithm function to reliably find the global minimum, escaping local minima that might trap simple algorithms."
-  num_top_programs: 3
-  use_template_stochasticity: true
 
 # Database configuration
 database:
@@ -34,11 +31,9 @@ database:
 # Evaluator configuration
 evaluator:
   timeout: 60
-  cascade_evaluation: true
-  cascade_thresholds: [0.5, 0.75]
-  parallel_evaluations: 4
-  use_llm_feedback: false
+  cascade_thresholds: [1.4]
+  parallel_evaluations: 3
 
 # Evolution settings
 diff_based_evolution: true
-allow_full_rewrites: false
+max_code_length: 20000