fix: pass model_type as positional arg to camel-ai ModelFactory.create

model_type must be a separate argument, not inside model_config_dict.
Also ensure all 3 scripts have consistent ModelFactory.create calls.

backend/scripts/run_parallel_simulation.py

@@ -1032,7 +1032,7 @@ def create_model(config: Dict[str, Any], use_boost: bool = False):
     print(f"{config_label} model={llm_model}, base_url={llm_base_url[:40] if llm_base_url else '默认'}...")
     
     # Build model config dict for camel-ai
-    model_config = {"model_type": llm_model}
+    model_config = {}
     if llm_api_key:
         model_config["api_key"] = llm_api_key
     if llm_base_url:
@@ -1040,6 +1040,7 @@ def create_model(config: Dict[str, Any], use_boost: bool = False):
     
     return ModelFactory.create(
         model_platform=ModelPlatformType.OPENAI,
+        model_type=llm_model,
         model_config_dict=model_config,
     )
 

backend/scripts/run_reddit_simulation.py

@@ -470,6 +470,7 @@ class RedditSimulationRunner:
         
         return ModelFactory.create(
             model_platform=ModelPlatformType.OPENAI,
+            model_type=llm_model,
             model_config_dict=model_config,
         )
     

backend/scripts/run_twitter_simulation.py

@@ -463,6 +463,7 @@ class TwitterSimulationRunner:
         
         return ModelFactory.create(
             model_platform=ModelPlatformType.OPENAI,
+            model_type=llm_model,
             model_config_dict=model_config,
         )