Remove supports_universal_context gate from OpenAI-library-based LLM services. It's no longer needed, as they all now support universal LLMContext.

src/pipecat/services/google/llm_openai.py

@@ -76,15 +76,6 @@ class GoogleLLMOpenAIBetaService(OpenAILLMService):
 
         super().__init__(api_key=api_key, base_url=base_url, model=model, **kwargs)
 
-    @property
-    def supports_universal_context(self) -> bool:
-        """Check if this service supports universal LLMContext.
-
-        Returns:
-            False, as GoogleLLMOpenAIBetaService does not yet support universal LLMContext.
-        """
-        return False
-
     async def _process_context(self, context: OpenAILLMContext):
         functions_list = []
         arguments_list = []

src/pipecat/services/openai/base_llm.py

@@ -419,18 +419,6 @@ class BaseOpenAILLMService(LLMService):
 
             await self.run_function_calls(function_calls)
 
-    @property
-    def supports_universal_context(self) -> bool:
-        """Check if this service supports universal LLMContext.
-
-        Returns:
-            Whether service supports universal LLMContext.
-        """
-        # Return True in subclasses that support universal LLMContext
-        # This property lets us gradually roll out support for universal
-        # LLMContext to OpenAI-like services in a controlled manner.
-        return False
-
     async def process_frame(self, frame: Frame, direction: FrameDirection):
         """Process frames for LLM completion requests.
 
@@ -450,12 +438,7 @@ class BaseOpenAILLMService(LLMService):
             context = frame.context
         elif isinstance(frame, LLMContextFrame):
             # Handle universal (LLM-agnostic) LLM context frames
-            if self.supports_universal_context:
-                context = frame.context
-            else:
-                raise NotImplementedError(
-                    f"Universal LLMContext is not yet supported for {self.__class__.__name__}."
-                )
+            context = frame.context
         elif isinstance(frame, LLMMessagesFrame):
             # NOTE: LLMMessagesFrame is deprecated, so we don't support the newer universal
             # LLMContext with it

src/pipecat/services/openai/llm.py

@@ -107,15 +107,6 @@ class OpenAILLMService(BaseOpenAILLMService):
         assistant = OpenAIAssistantContextAggregator(context, params=assistant_params)
         return OpenAIContextAggregatorPair(_user=user, _assistant=assistant)
 
-    @property
-    def supports_universal_context(self) -> bool:
-        """Check if this service supports universal LLMContext.
-
-        Returns:
-            True, as OpenAI service supports universal LLMContext.
-        """
-        return True
-
 
 class OpenAIUserContextAggregator(LLMUserContextAggregator):
     """OpenAI-specific user context aggregator.