Merge pull request #225 from bucolucas/feat/add-large-model-arg

feat: Add --use-large-model argument to openai_compatible_inference_bot.py

openai_compatible_inference_bot.py

@@ -20,7 +20,8 @@ class OpenAICompatibleInferenceBot(InferenceBot):
         large_model_name: str | None = None,
         large_model_max_tokens: str | None = None,
         allowed_function_tags: list[str] | None = None,
-        system_prompt_path: str | None = None
+        system_prompt_path: str | None = None,
+        use_large_model: bool = False # New argument
     ):
         self.model_config = {
             "small_model_name": small_model_name,
@@ -42,6 +43,12 @@ class OpenAICompatibleInferenceBot(InferenceBot):
         logging.info(log_msg)
 
         # Configure the actual model name and max_tokens for API calls
+        if use_large_model:
+            self._configure_model_and_tokens(
+                self.model_config["large_model_name"], 
+                self.model_config["large_model_max_tokens"]
+            )
+        else:
             self._configure_model_and_tokens(
                 self.model_config["small_model_name"], 
                 self.model_config["small_model_max_tokens"]
@@ -350,6 +357,7 @@ def main():
         parser.add_argument('--messenger', type=str, help='Messenger type (i.e. telegram)', required=True)
         parser.add_argument('--persona', type=str, help='Path to system prompt file', required=False)
         parser.add_argument('--tools', nargs='+', help='List of allowed function tags', required=False)
+        parser.add_argument('--use-large-model', action='store_true', help='Use the large model instead of the small model') # New argument
         # Add these to launch.json arguments if you want to limit the toolset available: "--tools", "read", "communicate"
         # Parse command line arguments
         args = parser.parse_args()
@@ -361,6 +369,7 @@ def main():
         allowed_function_tags=args.tools if args.tools else None
         config_prepend = args.config if args.config else None
         messenger = args.messenger if args.messenger else None
+        use_large_model = args.use_large_model # Get the value of the new argument
 
         # Initialize model and max tokens based on the config prepend
         if config_prepend:
@@ -379,7 +388,8 @@ def main():
                 large_model_name=large_model_name,
                 large_model_max_tokens=large_model_max_tokens,
                 system_prompt_path=system_prompt_path,
-                allowed_function_tags=allowed_function_tags
+                allowed_function_tags=allowed_function_tags,
+                use_large_model=use_large_model # Pass the new argument
             )
             full_code_file = importlib.import_module(f'{messenger.lower()}_helper')
             messenger_helper_class_name = f"{messenger.capitalize()}Helper"