Merge pull request #120 from SuhailB/updated-parallel-iterations

Updated parallel iterations

Author: codelion

openevolve/cli.py

@@ -126,6 +126,7 @@ async def main_async() -> int:
         best_program = await openevolve.run(
             iterations=args.iterations,
             target_score=args.target_score,
+            checkpoint_path=args.checkpoint,
         )
 
         # Get the checkpoint path

openevolve/config.py

@@ -56,7 +56,10 @@ class LLMConfig(LLMModelConfig):
     retry_delay: int = 5
 
     # n-model configuration for evolution LLM ensemble
-    models: List[LLMModelConfig] = field(default_factory=lambda: [LLMModelConfig()])
+    models: List[LLMModelConfig] = field(default_factory=lambda: [
+        LLMModelConfig(name="gpt-4o-mini", weight=0.8),
+        LLMModelConfig(name="gpt-4o", weight=0.2)
+    ])
 
     # n-model configuration for evaluator LLM ensemble
     evaluator_models: List[LLMModelConfig] = field(default_factory=lambda: [])
@@ -195,7 +198,7 @@ class EvaluatorConfig:
     cascade_thresholds: List[float] = field(default_factory=lambda: [0.5, 0.75, 0.9])
 
     # Parallel evaluation
-    parallel_evaluations: int = 4
+    parallel_evaluations: int = 1
     distributed: bool = False
 
     # LLM-based feedback
@@ -217,6 +220,7 @@ class Config:
     log_level: str = "INFO"
     log_dir: Optional[str] = None
     random_seed: Optional[int] = 42
+    language: str = None
 
     # Component configurations
     llm: LLMConfig = field(default_factory=LLMConfig)
@@ -361,4 +365,4 @@ def load_config(config_path: Optional[Union[str, Path]] = None) -> Config:
     # Make the system message available to the individual models, in case it is not provided from the prompt sampler
     config.llm.update_model_params({"system_message": config.prompt.system_message})
 
-    return config
+    return config