services: BaseOpenAILLMService.create_client() now returns the client

src/pipecat/services/azure.py

@@ -84,7 +84,7 @@ class AzureLLMService(BaseOpenAILLMService):
         super().__init__(api_key=api_key, model=model)
 
     def create_client(self, api_key=None, base_url=None):
-        self._client = AsyncAzureOpenAI(
+        return AsyncAzureOpenAI(
             api_key=api_key,
             azure_endpoint=self._endpoint,
             api_version=self._api_version,

src/pipecat/services/google.py

@@ -42,12 +42,8 @@ class GoogleLLMService(LLMService):
 
     def __init__(self, model="gemini-1.5-flash-latest", api_key=None, **kwargs):
         super().__init__(**kwargs)
-        self.model = model
         gai.configure(api_key=api_key or os.environ["GOOGLE_API_KEY"])
-        self.create_client()
-
-    def create_client(self):
-        self._client = gai.GenerativeModel(self.model)
+        self._client = gai.GenerativeModel(model)
 
     def _get_messages_from_openai_context(
             self, context: OpenAILLMContext) -> List[glm.Content]:

src/pipecat/services/openai.py

@@ -58,10 +58,10 @@ class BaseOpenAILLMService(LLMService):
     def __init__(self, model: str, api_key=None, base_url=None):
         super().__init__()
         self._model: str = model
-        self.create_client(api_key=api_key, base_url=base_url)
+        self._client = self.create_client(api_key=api_key, base_url=base_url)
 
     def create_client(self, api_key=None, base_url=None):
-        self._client = AsyncOpenAI(api_key=api_key, base_url=base_url)
+        return AsyncOpenAI(api_key=api_key, base_url=base_url)
 
     async def _stream_chat_completions(
         self, context: OpenAILLMContext