encoding fix

Author: llmfans

openevolve/controller.py

@@ -221,7 +221,7 @@ def _setup_logging(self) -> None:
 
     def _load_initial_program(self) -> str:
         """Load the initial program from file"""
-        with open(self.initial_program_path, "r") as f:
+        with open(self.initial_program_path, "r",encoding='utf-8') as f:
             return f.read()
 
     async def run(
@@ -291,7 +291,7 @@ async def run(
                 if numeric_metrics:
                     avg_score = sum(numeric_metrics) / len(numeric_metrics)
                     logger.warning(
-                        f"⚠️  No 'combined_score' metric found in evaluation results. "
+                        f"No 'combined_score' metric found in evaluation results. "
                         f"Using average of all numeric metrics ({avg_score:.4f}) for evolution guidance. "
                         f"For better evolution results, please modify your evaluator to return a 'combined_score' "
                         f"metric that properly weights different aspects of program performance."

openevolve/llm/openai.py

@@ -133,6 +133,15 @@ async def generate_with_context(
             if reasoning_effort is not None:
                 params["reasoning_effort"] = reasoning_effort
 
+        # ModelScope Qwen models require enable_thinking=false for non-streaming requests
+        if (
+            isinstance(self.api_base, str)
+            and "api-inference.modelscope.cn" in self.api_base
+        ):
+            extra_body = kwargs.get("extra_body") or {}
+            extra_body.setdefault("enable_thinking", False)
+            params["extra_body"] = extra_body
+
         # Add seed parameter for reproducibility if configured
         # Skip seed parameter for Google AI Studio endpoint as it doesn't support it
         seed = kwargs.get("seed", self.random_seed)

openevolve/prompt/templates.py

@@ -202,7 +202,7 @@ def _load_from_directory(self, directory: Path) -> None:
         # Load fragments.json if exists
         fragments_file = directory / "fragments.json"
         if fragments_file.exists():
-            with open(fragments_file, "r") as f:
+            with open(fragments_file, "r",encoding='utf-8') as f:
                 loaded_fragments = json.load(f)
                 self.fragments.update(loaded_fragments)