Rename to filter_system_frames

CHANGELOG.md

@@ -9,7 +9,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 
-- `FunctionFilter` now has a `block_system_frames` arg, which controls whether
+- `FunctionFilter` now has a `filter_system_frames` arg, which controls whether
   or not SystemFrames are filtered.
 
 - Upgraded `aws_sdk_bedrock_runtime` to v0.1.1 to resolve potential CPU issues

examples/foundational/48-service-switcher.py

@@ -26,8 +26,9 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.stt import CartesiaSTTService
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
+from pipecat.services.deepgram.tts import DeepgramTTSService
+from pipecat.services.google.llm import GoogleLLMService
 from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.stt_service import STTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -68,12 +69,20 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         services=[stt_cartesia, stt_deepgram], strategy_type=ServiceSwitcherStrategyManual
     )
 
-    tts = CartesiaTTSService(
+    tts_cartesia = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
+        voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",
+    )
+    tts_deepgram = DeepgramTTSService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+    tts_switcher = ServiceSwitcher(
+        services=[tts_cartesia, tts_deepgram], strategy_type=ServiceSwitcherStrategyManual
     )
 
-    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+    llm_openai = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+    llm_google = GoogleLLMService(api_key=os.getenv("GOOGLE_API_KEY"))
+    llm_switcher = ServiceSwitcher(
+        services=[llm_openai, llm_google], strategy_type=ServiceSwitcherStrategyManual
+    )
 
     messages = [
         {
@@ -90,8 +99,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             transport.input(),  # Transport user input
             stt_switcher,
             context_aggregator.user(),  # User responses
-            llm,  # LLM
-            tts,  # TTS
+            llm_switcher,  # LLM
+            tts_switcher,  # TTS
             transport.output(),  # Transport bot output
             context_aggregator.assistant(),  # Assistant spoken responses
         ]
@@ -115,6 +124,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         await asyncio.sleep(15)
         print(f"Switching to {stt_deepgram}")
         await task.queue_frames([ManuallySwitchServiceFrame(service=stt_deepgram)])
+        await asyncio.sleep(15)
+        print(f"Switching to {llm_google}")
+        await task.queue_frames([ManuallySwitchServiceFrame(service=llm_google)])
+        await asyncio.sleep(15)
+        print(f"Switching to {tts_deepgram}")
+        await task.queue_frames([ManuallySwitchServiceFrame(service=tts_deepgram)])
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):

src/pipecat/pipeline/service_switcher.py

@@ -144,7 +144,7 @@ class ServiceSwitcher(ParallelPipeline, Generic[StrategyType]):
             async def filter(_: Frame) -> bool:
                 return self._wrapped_service == self._active_service
 
-            super().__init__(filter, direction, block_system_frames=True)
+            super().__init__(filter, direction, filter_system_frames=True)
 
         async def process_frame(self, frame, direction):
             """Process a frame through the filter, handling special internal filter-updating frames."""

src/pipecat/processors/filters/function_filter.py

@@ -28,7 +28,7 @@ class FunctionFilter(FrameProcessor):
         self,
         filter: Callable[[Frame], Awaitable[bool]],
         direction: FrameDirection = FrameDirection.DOWNSTREAM,
-        block_system_frames: bool = False,
+        filter_system_frames: bool = False,
     ):
         """Initialize the function filter.
 
@@ -37,19 +37,17 @@ class FunctionFilter(FrameProcessor):
                 frame should pass through, False otherwise.
             direction: The direction to apply filtering. Only frames moving in
                 this direction will be filtered. Defaults to DOWNSTREAM.
-            block_system_frames: Whether to block system frames. Defaults to False.
+            filter_system_frames: Whether to filter system frames. Defaults to False.
         """
         super().__init__()
         self._filter = filter
         self._direction = direction
-        self._block_system_frames = block_system_frames
+        self._filter_system_frames = filter_system_frames
 
     #
     # Frame processor
     #
 
-    # Ignore system frames, end frames and frames that are not following the
-    # direction of this gate
     def _should_passthrough_frame(self, frame, direction):
         """Check if a frame should pass through without filtering."""
         # Always passthrough frames in the wrong direction
@@ -60,8 +58,8 @@ class FunctionFilter(FrameProcessor):
         if isinstance(frame, (StartFrame, EndFrame, CancelFrame)):
             return True
 
-        # If not blocking system frames, passthrough all other system frames
-        if not self._block_system_frames and isinstance(frame, SystemFrame):
+        # If not filtering system frames, passthrough all other system frames
+        if not self._filter_system_frames and isinstance(frame, SystemFrame):
             return True
 
         return False