Use gpt-4 by default for the main thought process

Allow specifying the llm through dotenv
Move more things into config

scripts/config.py

@@ -1,3 +1,9 @@
+import os
+
+from dotenv import load_dotenv
+# Load environment variables from .env file
+load_dotenv()
+
 class Singleton(type):
     """
     Singleton metaclass for ensuring only one instance of a class.
@@ -21,9 +27,25 @@ class Config(metaclass=Singleton):
     def __init__(self):
         self.continuous_mode = False
         self.speak_mode = False
-        self.fast_llm_model = "gpt-3.5-turbo"
-        self.smart_llm_model = "gpt-3.5-turbo"
+        # TODO - make these models be self-contained, using langchain, so we can configure them once and call it good 
+        self.fast_llm_model = os.getenv("FAST_LLM_MODEL", "gpt-3.5-turbo") 
+        self.smart_llm_model = os.getenv("SMART_LLM_MODEL", "gpt-4")
         self.thinking_token_limit = 4000
+        # Initialize the OpenAI API client
+        self.openai_api_key = os.getenv("OPENAI_API_KEY")
+        self.elevenlabs_api_key = os.getenv("ELEVENLABS_API_KEY")
+        # Print values:
+        print("Config values:")
+        print(f"continuous_mode: {self.continuous_mode}")
+        print(f"speak_mode: {self.speak_mode}")
+        print(f"fast_llm_model: {self.fast_llm_model}")
+        print(f"smart_llm_model: {self.smart_llm_model}")
+        print(f"thinking_token_limit: {self.thinking_token_limit}")
+        print(f"openai_api_key: {self.openai_api_key}")
+        print(f"elevenlabs_api_key: {self.elevenlabs_api_key}")
+
+
+
 
     def set_continuous_mode(self, value: bool):
         self.continuous_mode = value
@@ -39,3 +61,12 @@ class Config(metaclass=Singleton):
 
     def set_thinking_token_limit(self, value: int):
         self.thinking_token_limit = value
+
+    def set_openai_api_key(self, value: str):
+        self.apiopenai_api_key_key = value
+    
+    def set_elevenlabs_api_key(self, value: str):
+        self.elevenlabs_api_key = value
+
+
+