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

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This commit is contained in:
Paul Kompfner
2025-09-02 16:00:48 -04:00
parent 7cb372ebb9
commit 9b216116f1
3 changed files with 1 additions and 36 deletions
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9
src/pipecat/services/google/llm_openai.py
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@@ -76,15 +76,6 @@ class GoogleLLMOpenAIBetaService(OpenAILLMService):
super().__init__(api_key=api_key, base_url=base_url, model=model, **kwargs) 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): async def _process_context(self, context: OpenAILLMContext):
functions_list = [] functions_list = []
arguments_list = [] arguments_list = []

19
src/pipecat/services/openai/base_llm.py
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@@ -419,18 +419,6 @@ class BaseOpenAILLMService(LLMService):
await self.run_function_calls(function_calls) 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): async def process_frame(self, frame: Frame, direction: FrameDirection):
"""Process frames for LLM completion requests. """Process frames for LLM completion requests.
@@ -450,12 +438,7 @@ class BaseOpenAILLMService(LLMService):
context = frame.context context = frame.context
elif isinstance(frame, LLMContextFrame): elif isinstance(frame, LLMContextFrame):
# Handle universal (LLM-agnostic) LLM context frames # Handle universal (LLM-agnostic) LLM context frames
if self.supports_universal_context: context = frame.context
context = frame.context
else:
raise NotImplementedError(
f"Universal LLMContext is not yet supported for {self.__class__.__name__}."
)
elif isinstance(frame, LLMMessagesFrame): elif isinstance(frame, LLMMessagesFrame):
# NOTE: LLMMessagesFrame is deprecated, so we don't support the newer universal # NOTE: LLMMessagesFrame is deprecated, so we don't support the newer universal
# LLMContext with it # LLMContext with it

9
src/pipecat/services/openai/llm.py
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@@ -107,15 +107,6 @@ class OpenAILLMService(BaseOpenAILLMService):
assistant = OpenAIAssistantContextAggregator(context, params=assistant_params) assistant = OpenAIAssistantContextAggregator(context, params=assistant_params)
return OpenAIContextAggregatorPair(_user=user, _assistant=assistant) 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): class OpenAIUserContextAggregator(LLMUserContextAggregator):
"""OpenAI-specific user context aggregator. """OpenAI-specific user context aggregator.