Update examples to use the class Settings alias

examples/foundational/01-say-one-thing-rime.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.rime.tts import RimeHttpTTSService, RimeTTSSettings
+from pipecat.services.rime.tts import RimeHttpTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -40,7 +40,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         tts = RimeHttpTTSService(
             api_key=os.getenv("RIME_API_KEY", ""),
             aiohttp_session=session,
-            settings=RimeTTSSettings(
+            settings=RimeHttpTTSService.Settings(
                 voice="rex",
             ),
         )

examples/foundational/01-say-one-thing.py

@@ -15,7 +15,7 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -37,7 +37,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )

examples/foundational/01a-local-audio.py

@@ -15,7 +15,7 @@ from pipecat.frames.frames import EndFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.transports.local.audio import LocalAudioTransport, LocalAudioTransportParams
 
 load_dotenv(override=True)
@@ -29,7 +29,7 @@ async def main():
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )

examples/foundational/01b-livekit-audio.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
 from pipecat.runner.livekit import configure
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.transports.livekit.transport import LiveKitParams, LiveKitTransport
 
 load_dotenv(override=True)
@@ -37,7 +37,7 @@ async def main():
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )

examples/foundational/02-llm-say-one-thing.py

@@ -16,8 +16,8 @@ from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -39,14 +39,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are an LLM in a WebRTC session, and this is a 'hello world' demo.",
         ),
     )

examples/foundational/03-still-frame.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.fal.image import FalImageGenService, FalImageGenSettings
+from pipecat.services.fal.image import FalImageGenService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 
@@ -45,7 +45,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     # Create an HTTP session
     async with aiohttp.ClientSession() as session:
         imagegen = FalImageGenService(
-            settings=FalImageGenSettings(
+            settings=FalImageGenService.Settings(
                 image_size="square_hd",
             ),
             aiohttp_session=session,

examples/foundational/03a-local-still-frame.py

@@ -17,7 +17,7 @@ from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.services.fal.image import FalImageGenService, FalImageGenSettings
+from pipecat.services.fal.image import FalImageGenService
 from pipecat.transports.local.tk import TkLocalTransport, TkTransportParams
 
 load_dotenv(override=True)
@@ -37,7 +37,7 @@ async def main():
         )
 
         imagegen = FalImageGenService(
-            settings=FalImageGenSettings(
+            settings=FalImageGenService.Settings(
                 image_size="square_hd",
             ),
             aiohttp_session=session,

examples/foundational/04-transports-small-webrtc.py

@@ -27,9 +27,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
     LLMUserAggregatorParams,
 )
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import TransportParams
 from pipecat.transports.smallwebrtc.connection import IceServer, SmallWebRTCConnection
 from pipecat.transports.smallwebrtc.transport import SmallWebRTCTransport
@@ -67,14 +67,14 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/04a-transports-daily.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
     LLMUserAggregatorParams,
 )
 from pipecat.runner.daily import configure
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.daily.transport import DailyParams, DailyTransport
 
 load_dotenv(override=True)
@@ -50,14 +50,14 @@ async def main():
 
         tts = CartesiaTTSService(
             api_key=os.getenv("CARTESIA_API_KEY"),
-            settings=CartesiaTTSSettings(
+            settings=CartesiaTTSService.Settings(
                 voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
             ),
         )
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 model="gpt-4o",
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),

examples/foundational/04b-transports-livekit.py

@@ -29,9 +29,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
     LLMUserAggregatorParams,
 )
 from pipecat.runner.livekit import configure
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.livekit.transport import LiveKitParams, LiveKitTransport
 
 load_dotenv(override=True)
@@ -57,14 +57,14 @@ async def main():
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )

examples/foundational/05-sync-speech-and-image.py

@@ -27,8 +27,8 @@ from pipecat.processors.aggregators.sentence import SentenceAggregator
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaHttpTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaHttpTTSService
-from pipecat.services.fal.image import FalImageGenService, FalImageGenSettings
+from pipecat.services.fal.image import FalImageGenService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -98,13 +98,13 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = CartesiaHttpTTSService(
             api_key=os.getenv("CARTESIA_API_KEY"),
-            settings=CartesiaTTSSettings(
+            settings=CartesiaHttpTTSService.Settings(
                 voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
             ),
         )
 
         imagegen = FalImageGenService(
-            settings=FalImageGenSettings(
+            settings=FalImageGenService.Settings(
                 image_size="square_hd",
             ),
             aiohttp_session=session,

examples/foundational/05a-local-sync-speech-and-image.py

@@ -28,8 +28,8 @@ from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.processors.aggregators.sentence import SentenceAggregator
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
-from pipecat.services.cartesia.tts import CartesiaHttpTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaHttpTTSService
-from pipecat.services.fal.image import FalImageGenService, FalImageGenSettings
+from pipecat.services.fal.image import FalImageGenService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.local.tk import TkLocalTransport, TkTransportParams
 
@@ -98,13 +98,13 @@ async def main():
 
             tts = CartesiaHttpTTSService(
                 api_key=os.getenv("CARTESIA_API_KEY"),
-                settings=CartesiaTTSSettings(
+                settings=CartesiaHttpTTSService.Settings(
                     voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
                 ),
             )
 
             imagegen = FalImageGenService(
-                settings=FalImageGenSettings(
+                settings=FalImageGenService.Settings(
                     image_size="square_hd",
                 ),
                 aiohttp_session=session,

examples/foundational/06-listen-and-respond.py

@@ -28,9 +28,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -83,14 +83,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/06a-image-sync.py

@@ -29,9 +29,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 
@@ -100,14 +100,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07-interruptible-cartesia-http.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.stt import CartesiaSTTService
-from pipecat.services.cartesia.tts import CartesiaHttpTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaHttpTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -59,14 +59,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         tts = CartesiaHttpTTSService(
             api_key=os.getenv("CARTESIA_API_KEY"),
             aiohttp_session=session,
-            settings=CartesiaTTSSettings(
+            settings=CartesiaHttpTTSService.Settings(
                 voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
             ),
         )
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07-interruptible.py

@@ -21,9 +21,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.tts_service import TextAggregationMode
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -56,14 +56,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07a-interruptible-speechmatics-vad.py

@@ -21,10 +21,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.openai.base_llm import OpenAILLMSettings
 from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.speechmatics.stt import SpeechmaticsSTTService, SpeechmaticsSTTSettings
+from pipecat.services.speechmatics.stt import SpeechmaticsSTTService
-from pipecat.services.speechmatics.tts import SpeechmaticsTTSService, SpeechmaticsTTSSettings
+from pipecat.services.speechmatics.tts import SpeechmaticsTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -93,7 +92,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async with aiohttp.ClientSession() as session:
         stt = SpeechmaticsSTTService(
             api_key=os.getenv("SPEECHMATICS_API_KEY"),
-            settings=SpeechmaticsSTTSettings(
+            settings=SpeechmaticsSTTService.Settings(
                 language=Language.EN,
                 turn_detection_mode=SpeechmaticsSTTService.TurnDetectionMode.ADAPTIVE,
                 # focus_speakers=["S1"],
@@ -104,7 +103,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = SpeechmaticsTTSService(
             api_key=os.getenv("SPEECHMATICS_API_KEY"),
-            settings=SpeechmaticsTTSSettings(
+            settings=SpeechmaticsTTSService.Settings(
                 voice="sarah",
             ),
             aiohttp_session=session,
@@ -112,7 +111,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 temperature=0.75,
                 system_instruction="You are a helpful British assistant called Sarah. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Always include punctuation in your responses. Give very short replies - do not give longer replies unless strictly necessary. Respond to what the user said in a concise, funny, creative and helpful way. Use `<Sn/>` tags to identify different speakers - do not use tags in your replies. Do not respond to speakers within `<PASSIVE/>` tags unless explicitly asked to.",
             ),

examples/foundational/07a-interruptible-speechmatics.py

@@ -22,10 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.openai.base_llm import OpenAILLMSettings
 from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.speechmatics.stt import SpeechmaticsSTTService, SpeechmaticsSTTSettings
+from pipecat.services.speechmatics.stt import SpeechmaticsSTTService
-from pipecat.services.speechmatics.tts import SpeechmaticsTTSService, SpeechmaticsTTSSettings
+from pipecat.services.speechmatics.tts import SpeechmaticsTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -76,7 +75,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async with aiohttp.ClientSession() as session:
         stt = SpeechmaticsSTTService(
             api_key=os.getenv("SPEECHMATICS_API_KEY"),
-            settings=SpeechmaticsSTTSettings(
+            settings=SpeechmaticsSTTService.Settings(
                 language=Language.EN,
                 speaker_active_format="<{speaker_id}>{text}</{speaker_id}>",
             ),
@@ -84,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = SpeechmaticsTTSService(
             api_key=os.getenv("SPEECHMATICS_API_KEY"),
-            settings=SpeechmaticsTTSSettings(
+            settings=SpeechmaticsTTSService.Settings(
                 voice="sarah",
             ),
             aiohttp_session=session,
@@ -92,7 +91,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 temperature=0.75,
                 system_instruction="You are a helpful British assistant called Sarah. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Always include punctuation in your responses. Give very short replies - do not give longer replies unless strictly necessary. Respond to what the user said in a concise, funny, creative and helpful way. Use `<Sn/>` tags to identify different speakers - do not use tags in your replies. Do not respond to speakers within `<PASSIVE/>` tags unless explicitly asked to.",
             ),

examples/foundational/07b-interruptible-langchain.py

@@ -28,7 +28,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.processors.frameworks.langchain import LangchainProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -71,7 +71,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )

examples/foundational/07c-interruptible-deepgram-flux.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.deepgram.flux.stt import DeepgramFluxSTTService, DeepgramFluxSTTSettings
+from pipecat.services.deepgram.flux.stt import DeepgramFluxSTTService
-from pipecat.services.deepgram.tts import DeepgramTTSService, DeepgramTTSSettings
+from pipecat.services.deepgram.tts import DeepgramTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -56,21 +56,21 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = DeepgramFluxSTTService(
         api_key=os.getenv("DEEPGRAM_API_KEY"),
-        settings=DeepgramFluxSTTSettings(
+        settings=DeepgramFluxSTTService.Settings(
             min_confidence=0.3,
         ),
     )
 
     tts = DeepgramTTSService(
         api_key=os.getenv("DEEPGRAM_API_KEY"),
-        settings=DeepgramTTSSettings(
+        settings=DeepgramTTSService.Settings(
             voice="aura-2-andromeda-en",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07c-interruptible-deepgram-http.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.deepgram.tts import DeepgramHttpTTSService, DeepgramTTSSettings
+from pipecat.services.deepgram.tts import DeepgramHttpTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -59,7 +59,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = DeepgramHttpTTSService(
             api_key=os.getenv("DEEPGRAM_API_KEY"),
-            settings=DeepgramTTSSettings(
+            settings=DeepgramHttpTTSService.Settings(
                 voice="aura-2-andromeda-en",
             ),
             aiohttp_session=session,
@@ -67,7 +67,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07c-interruptible-deepgram-sagemaker.py

@@ -24,10 +24,7 @@ from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.aws.llm import AWSBedrockLLMService, AWSBedrockLLMSettings
 from pipecat.services.deepgram.sagemaker.stt import DeepgramSageMakerSTTService
-from pipecat.services.deepgram.sagemaker.tts import (
+from pipecat.services.deepgram.sagemaker.tts import DeepgramSageMakerTTSService
-    DeepgramSageMakerTTSService,
-    DeepgramSageMakerTTSSettings,
-)
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -72,7 +69,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     tts = DeepgramSageMakerTTSService(
         endpoint_name=os.getenv("SAGEMAKER_TTS_ENDPOINT_NAME"),
         region=os.getenv("AWS_REGION"),
-        settings=DeepgramSageMakerTTSSettings(
+        settings=DeepgramSageMakerTTSService.Settings(
             voice="aura-2-andromeda-en",
         ),
     )

examples/foundational/07c-interruptible-deepgram-vad.py

@@ -21,9 +21,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.deepgram.stt import DeepgramSTTService, DeepgramSTTSettings
+from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.deepgram.tts import DeepgramTTSService, DeepgramTTSSettings
+from pipecat.services.deepgram.tts import DeepgramTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -55,7 +55,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = DeepgramSTTService(
         api_key=os.getenv("DEEPGRAM_API_KEY"),
-        settings=DeepgramSTTSettings(
+        settings=DeepgramSTTService.Settings(
             vad_events=True,
             utterance_end_ms="1000",
         ),
@@ -63,14 +63,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = DeepgramTTSService(
         api_key=os.getenv("DEEPGRAM_API_KEY"),
-        settings=DeepgramTTSSettings(
+        settings=DeepgramTTSService.Settings(
             voice="aura-2-andromeda-en",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07c-interruptible-deepgram.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.deepgram.tts import DeepgramTTSService, DeepgramTTSSettings
+from pipecat.services.deepgram.tts import DeepgramTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -57,14 +57,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = DeepgramTTSService(
         api_key=os.getenv("DEEPGRAM_API_KEY"),
-        settings=DeepgramTTSSettings(
+        settings=DeepgramTTSService.Settings(
             voice="aura-2-andromeda-en",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07d-interruptible-elevenlabs-http.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.elevenlabs.stt import ElevenLabsSTTService
-from pipecat.services.elevenlabs.tts import ElevenLabsHttpTTSService, ElevenLabsHttpTTSSettings
+from pipecat.services.elevenlabs.tts import ElevenLabsHttpTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -64,14 +64,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         tts = ElevenLabsHttpTTSService(
             api_key=os.getenv("ELEVENLABS_API_KEY", ""),
             aiohttp_session=session,
-            settings=ElevenLabsHttpTTSSettings(
+            settings=ElevenLabsHttpTTSService.Settings(
                 voice=os.getenv("ELEVENLABS_VOICE_ID", ""),
             ),
         )
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07d-interruptible-elevenlabs.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.elevenlabs.stt import ElevenLabsRealtimeSTTService
-from pipecat.services.elevenlabs.tts import ElevenLabsTTSService, ElevenLabsTTSSettings
+from pipecat.services.elevenlabs.tts import ElevenLabsTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -57,14 +57,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = ElevenLabsTTSService(
         api_key=os.getenv("ELEVENLABS_API_KEY", ""),
-        settings=ElevenLabsTTSSettings(
+        settings=ElevenLabsTTSService.Settings(
             voice=os.getenv("ELEVENLABS_VOICE_ID", ""),
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07f-interruptible-azure-http.py

@@ -22,7 +22,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.azure.llm import AzureLLMService, AzureLLMSettings
+from pipecat.services.azure.llm import AzureLLMService
 from pipecat.services.azure.stt import AzureSTTService
 from pipecat.services.azure.tts import AzureHttpTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -65,7 +65,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     llm = AzureLLMService(
         api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
         endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
-        settings=AzureLLMSettings(
+        settings=AzureLLMService.Settings(
             model=os.getenv("AZURE_CHATGPT_MODEL"),
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),

examples/foundational/07f-interruptible-azure.py

@@ -22,7 +22,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.azure.llm import AzureLLMService, AzureLLMSettings
+from pipecat.services.azure.llm import AzureLLMService
 from pipecat.services.azure.stt import AzureSTTService
 from pipecat.services.azure.tts import AzureTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -65,7 +65,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     llm = AzureLLMService(
         api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
         endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
-        settings=AzureLLMSettings(
+        settings=AzureLLMService.Settings(
             model=os.getenv("AZURE_CHATGPT_MODEL"),
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),

examples/foundational/07g-interruptible-openai-http.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.openai.stt import OpenAISTTService, OpenAISTTSettings
+from pipecat.services.openai.stt import OpenAISTTService
-from pipecat.services.openai.tts import OpenAITTSService, OpenAITTSSettings
+from pipecat.services.openai.tts import OpenAITTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -54,7 +54,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = OpenAISTTService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAISTTSettings(
+        settings=OpenAISTTService.Settings(
             model="gpt-4o-transcribe",
             prompt="Expect words related to dogs, such as breed names.",
         ),
@@ -62,14 +62,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = OpenAITTSService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAITTSSettings(
+        settings=OpenAITTSService.Settings(
             voice="ballad",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are very knowledgable about dogs. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07g-interruptible-openai.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.openai.stt import OpenAIRealtimeSTTService, OpenAIRealtimeSTTSettings
+from pipecat.services.openai.stt import OpenAIRealtimeSTTService
-from pipecat.services.openai.tts import OpenAITTSService, OpenAITTSSettings
+from pipecat.services.openai.tts import OpenAITTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -55,7 +55,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = OpenAIRealtimeSTTService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAIRealtimeSTTSettings(
+        settings=OpenAIRealtimeSTTService.Settings(
             model="gpt-4o-transcribe",
             prompt="Expect words related to dogs, such as breed names.",
             language=Language.EN,
@@ -64,14 +64,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = OpenAITTSService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAITTSSettings(
+        settings=OpenAITTSService.Settings(
             voice="ballad",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are very knowledgable about dogs. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07h-interruptible-openpipe.py

@@ -23,9 +23,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openpipe.llm import OpenPipeLLMService, OpenPipeLLMSettings
+from pipecat.services.openpipe.llm import OpenPipeLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -57,7 +57,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
@@ -67,7 +67,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         api_key=os.getenv("OPENAI_API_KEY"),
         openpipe_api_key=os.getenv("OPENPIPE_API_KEY"),
         tags={"conversation_id": f"pipecat-{timestamp}"},
-        settings=OpenPipeLLMSettings(
+        settings=OpenPipeLLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07i-interruptible-xtts.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.xtts.tts import XTTSService, XTTSTTSSettings
+from pipecat.services.xtts.tts import XTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -59,7 +59,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = XTTSService(
             aiohttp_session=session,
-            settings=XTTSTTSSettings(
+            settings=XTTSService.Settings(
                 voice="Claribel Dervla",
             ),
             base_url="http://localhost:8000",
@@ -67,7 +67,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07j-interruptible-gladia-vad.py

@@ -22,10 +22,10 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.gladia.config import LanguageConfig
-from pipecat.services.gladia.stt import GladiaSTTService, GladiaSTTSettings
+from pipecat.services.gladia.stt import GladiaSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -58,7 +58,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = GladiaSTTService(
         api_key=os.getenv("GLADIA_API_KEY", ""),
         region=os.getenv("GLADIA_REGION"),
-        settings=GladiaSTTSettings(
+        settings=GladiaSTTService.Settings(
             language_config=LanguageConfig(
                 languages=[Language.EN],
             ),
@@ -68,14 +68,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY", ""),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY", ""),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07j-interruptible-gladia.py

@@ -22,10 +22,10 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.gladia.config import LanguageConfig
-from pipecat.services.gladia.stt import GladiaSTTService, GladiaSTTSettings
+from pipecat.services.gladia.stt import GladiaSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -57,7 +57,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = GladiaSTTService(
         api_key=os.getenv("GLADIA_API_KEY", ""),
         region=os.getenv("GLADIA_REGION"),
-        settings=GladiaSTTSettings(
+        settings=GladiaSTTService.Settings(
             language_config=LanguageConfig(
                 languages=[Language.EN],
             )
@@ -66,14 +66,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY", ""),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY", ""),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07k-interruptible-lmnt.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.lmnt.tts import LmntTTSService, LmntTTSSettings
+from pipecat.services.lmnt.tts import LmntTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -56,14 +56,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = LmntTTSService(
         api_key=os.getenv("LMNT_API_KEY"),
-        settings=LmntTTSSettings(
+        settings=LmntTTSService.Settings(
             voice="morgan",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07l-interruptible-groq.py

@@ -22,7 +22,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.groq.llm import GroqLLMService, GroqLLMSettings
+from pipecat.services.groq.llm import GroqLLMService
 from pipecat.services.groq.stt import GroqSTTService
 from pipecat.services.groq.tts import GroqTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -56,7 +56,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = GroqLLMService(
         api_key=os.getenv("GROQ_API_KEY"),
-        settings=GroqLLMSettings(
+        settings=GroqLLMService.Settings(
             model="meta-llama/llama-4-maverick-17b-128e-instruct",
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),

examples/foundational/07m-interruptible-aws-strands.py

@@ -22,7 +22,7 @@ from pipecat.processors.frameworks.strands_agents import StrandsAgentsProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.aws.stt import AWSTranscribeSTTService
-from pipecat.services.aws.tts import AWSPollyTTSService, AWSPollyTTSSettings
+from pipecat.services.aws.tts import AWSPollyTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -95,7 +95,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = AWSPollyTTSService(
         region="us-west-2",  # only specific regions support generative TTS
-        settings=AWSPollyTTSSettings(
+        settings=AWSPollyTTSService.Settings(
             voice="Joanna",
             engine="generative",
             rate="1.1",

examples/foundational/07m-interruptible-aws.py

@@ -20,9 +20,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.aws.llm import AWSBedrockLLMService, AWSBedrockLLMSettings
+from pipecat.services.aws.llm import AWSBedrockLLMService
 from pipecat.services.aws.stt import AWSTranscribeSTTService
-from pipecat.services.aws.tts import AWSPollyTTSService, AWSPollyTTSSettings
+from pipecat.services.aws.tts import AWSPollyTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -54,7 +54,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = AWSPollyTTSService(
         region="us-west-2",  # only specific regions support generative TTS
-        settings=AWSPollyTTSSettings(
+        settings=AWSPollyTTSService.Settings(
             voice="Joanna",
             engine="generative",
             rate="1.1",
@@ -63,7 +63,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = AWSBedrockLLMService(
         aws_region="us-west-2",
-        settings=AWSBedrockLLMSettings(
+        settings=AWSBedrockLLMService.Settings(
             model="us.anthropic.claude-sonnet-4-6",
             temperature=0.8,
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",

examples/foundational/07n-interruptible-gemini-image.py

@@ -37,9 +37,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
+from pipecat.services.google.llm import GoogleLLMService
-from pipecat.services.google.stt import GoogleSTTService, GoogleSTTSettings
+from pipecat.services.google.stt import GoogleSTTService
-from pipecat.services.google.tts import GoogleTTSService, GoogleTTSSettings
+from pipecat.services.google.tts import GoogleTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -71,14 +71,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = GoogleSTTService(
         credentials=os.getenv("GOOGLE_TEST_CREDENTIALS"),
-        settings=GoogleSTTSettings(
+        settings=GoogleSTTService.Settings(
             languages=[Language.EN_US],
         ),
     )
 
     tts = GoogleTTSService(
         credentials=os.getenv("GOOGLE_TEST_CREDENTIALS"),
-        settings=GoogleTTSSettings(
+        settings=GoogleTTSService.Settings(
             voice="en-US-Chirp3-HD-Charon",
             language=Language.EN_US,
         ),
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = GoogleLLMService(
         api_key=os.getenv("GOOGLE_API_KEY"),
-        settings=GoogleLLMSettings(
+        settings=GoogleLLMService.Settings(
             model="gemini-2.5-flash-image",
             # model="gemini-3-pro-image-preview", # A more powerful model, but slower,
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",

examples/foundational/07n-interruptible-gemini.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
+from pipecat.services.google.llm import GoogleLLMService
-from pipecat.services.google.stt import GoogleSTTService, GoogleSTTSettings
+from pipecat.services.google.stt import GoogleSTTService
-from pipecat.services.google.tts import GeminiTTSService, GeminiTTSSettings
+from pipecat.services.google.tts import GeminiTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -54,7 +54,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     logger.info(f"Starting bot with Gemini TTS")
 
     stt = GoogleSTTService(
-        settings=GoogleSTTSettings(
+        settings=GoogleSTTService.Settings(
             languages=[Language.EN_US],
         ),
         credentials=os.getenv("GOOGLE_TEST_CREDENTIALS"),
@@ -62,7 +62,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = GeminiTTSService(
         credentials=os.getenv("GOOGLE_TEST_CREDENTIALS"),
-        settings=GeminiTTSSettings(
+        settings=GeminiTTSService.Settings(
             model="gemini-2.5-flash-tts",
             voice="Charon",
             language=Language.EN_US,
@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     llm = GoogleLLMService(
         api_key=os.getenv("GOOGLE_API_KEY"),
         model="gemini-2.5-flash",
-        settings=GoogleLLMSettings(
+        settings=GoogleLLMService.Settings(
             system_instruction="""You are a helpful AI assistant in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way.
 
             IMPORTANT: You're using Gemini TTS which supports expressive markup tags. You can use these tags in your responses:

examples/foundational/07n-interruptible-google-http.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
+from pipecat.services.google.llm import GoogleLLMService
-from pipecat.services.google.stt import GoogleSTTService, GoogleSTTSettings
+from pipecat.services.google.stt import GoogleSTTService
-from pipecat.services.google.tts import GoogleHttpTTSService, GoogleHttpTTSSettings
+from pipecat.services.google.tts import GoogleHttpTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -54,7 +54,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     logger.info(f"Starting bot")
 
     stt = GoogleSTTService(
-        settings=GoogleSTTSettings(
+        settings=GoogleSTTService.Settings(
             languages=[Language.EN_US],
             # Add model to use a specific model
             # model="chirp_3",
@@ -64,7 +64,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     )
 
     tts = GoogleHttpTTSService(
-        settings=GoogleHttpTTSSettings(
+        settings=GoogleHttpTTSService.Settings(
             voice="en-US-Chirp3-HD-Charon",
             language=Language.EN_US,
         ),
@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = GoogleLLMService(
         api_key=os.getenv("GOOGLE_API_KEY"),
-        settings=GoogleLLMSettings(
+        settings=GoogleLLMService.GoogleLLMSettings(
             model="gemini-2.5-flash",
             # force a certain amount of thinking if you want it
             # thinking=GoogleLLMService.ThinkingConfig(thinking_budget=4096)

examples/foundational/07n-interruptible-google.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
+from pipecat.services.google.llm import GoogleLLMService
-from pipecat.services.google.stt import GoogleSTTService, GoogleSTTSettings
+from pipecat.services.google.stt import GoogleSTTService
-from pipecat.services.google.tts import GoogleTTSService, GoogleTTSSettings
+from pipecat.services.google.tts import GoogleTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -54,7 +54,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     logger.info(f"Starting bot")
 
     stt = GoogleSTTService(
-        settings=GoogleSTTSettings(
+        settings=GoogleSTTService.Settings(
             languages=[Language.EN_US],
             # Add model to use a specific model
             # model="chirp_3",
@@ -64,7 +64,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     )
 
     tts = GoogleTTSService(
-        settings=GoogleTTSSettings(
+        settings=GoogleTTSService.Settings(
             voice="en-US-Chirp3-HD-Charon",
             language=Language.EN_US,
         ),
@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = GoogleLLMService(
         api_key=os.getenv("GOOGLE_API_KEY"),
-        settings=GoogleLLMSettings(
+        settings=GoogleLLMService.Settings(
             model="gemini-2.5-flash",
             # force a certain amount of thinking if you want it
             # thinking=GoogleLLMService.ThinkingConfig(thinking_budget=4096),

examples/foundational/07o-interruptible-assemblyai-turn-detection.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.assemblyai.stt import AssemblyAISTTService, AssemblyAISTTSettings
+from pipecat.services.assemblyai.stt import AssemblyAISTTService
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -93,7 +93,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = AssemblyAISTTService(
         api_key=os.getenv("ASSEMBLYAI_API_KEY"),
         vad_force_turn_endpoint=False,  # Use AssemblyAI's built-in turn detection
-        settings=AssemblyAISTTSettings(
+        settings=AssemblyAISTTService.Settings(
             model="u3-rt-pro",
             # Optional: Tune turn detection timing (defaults shown below)
             # min_turn_silence=100,  # Default
@@ -107,14 +107,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07o-interruptible-assemblyai.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.assemblyai.stt import AssemblyAISTTService
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -59,14 +59,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07p-interruptible-krisp-viva.py

@@ -43,9 +43,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -85,14 +85,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07p-interruptible-krisp.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.deepgram.tts import DeepgramTTSService, DeepgramTTSSettings
+from pipecat.services.deepgram.tts import DeepgramTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -60,14 +60,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = DeepgramTTSService(
         api_key=os.getenv("DEEPGRAM_API_KEY"),
-        settings=DeepgramTTSSettings(
+        settings=DeepgramTTSService.Settings(
             voice="aura-helios-en",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07q-interruptible-rime-http.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.rime.tts import RimeHttpTTSService, RimeTTSSettings
+from pipecat.services.rime.tts import RimeHttpTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -60,7 +60,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = RimeHttpTTSService(
             api_key=os.getenv("RIME_API_KEY", ""),
-            settings=RimeTTSSettings(
+            settings=RimeHttpTTSService.Settings(
                 voice="luna",
                 model="arcana",
             ),
@@ -70,7 +70,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07q-interruptible-rime.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.rime.tts import RimeTTSService, RimeTTSSettings
+from pipecat.services.rime.tts import RimeTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -56,14 +56,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = RimeTTSService(
         api_key=os.getenv("RIME_API_KEY", ""),
-        settings=RimeTTSSettings(
+        settings=RimeTTSService.Settings(
             voice="luna",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07r-interruptible-nvidia.py

@@ -22,7 +22,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.nvidia.llm import NvidiaLLMService, NvidiaLLMSettings
+from pipecat.services.nvidia.llm import NvidiaLLMService
 from pipecat.services.nvidia.stt import NvidiaSTTService
 from pipecat.services.nvidia.tts import NvidiaTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -56,7 +56,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = NvidiaLLMService(
         api_key=os.getenv("NVIDIA_API_KEY"),
-        settings=NvidiaLLMSettings(
+        settings=NvidiaLLMService.Settings(
             model="meta/llama-3.3-70b-instruct",
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),

examples/foundational/07s-interruptible-google-audio-in.py

@@ -36,8 +36,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.processors.frame_processor import FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
+from pipecat.services.google.llm import GoogleLLMService
-from pipecat.services.google.tts import GoogleTTSService, GoogleTTSSettings
+from pipecat.services.google.tts import GoogleTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -216,7 +216,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = GoogleLLMService(
         api_key=os.getenv("GOOGLE_API_KEY"),
-        settings=GoogleLLMSettings(
+        settings=GoogleLLMService.Settings(
             model="gemini-2.5-flash",
             system_instruction=system_message,
             # force a certain amount of thinking if you want it
@@ -225,7 +225,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     )
 
     tts = GoogleTTSService(
-        settings=GoogleTTSSettings(
+        settings=GoogleTTSService.Settings(
             voice="en-US-Chirp3-HD-Charon",
             language=Language.EN_US,
         ),

examples/foundational/07t-interruptible-fish.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.fish.tts import FishAudioTTSService, FishAudioTTSSettings
+from pipecat.services.fish.tts import FishAudioTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -57,14 +57,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = FishAudioTTSService(
         api_key=os.getenv("FISH_API_KEY"),
-        settings=FishAudioTTSSettings(
+        settings=FishAudioTTSService.Settings(
             voice="4ce7e917cedd4bc2bb2e6ff3a46acaa1",  # Barack Obama
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07v-interruptible-neuphonic-http.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.neuphonic.tts import NeuphonicHttpTTSService, NeuphonicTTSSettings
+from pipecat.services.neuphonic.tts import NeuphonicHttpTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -60,7 +60,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = NeuphonicHttpTTSService(
             api_key=os.getenv("NEUPHONIC_API_KEY"),
-            settings=NeuphonicTTSSettings(
+            settings=NeuphonicHttpTTSService.Settings(
                 voice="fc854436-2dac-4d21-aa69-ae17b54e98eb",  # Emily
             ),
             aiohttp_session=session,
@@ -68,7 +68,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07v-interruptible-neuphonic.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.neuphonic.tts import NeuphonicTTSService, NeuphonicTTSSettings
+from pipecat.services.neuphonic.tts import NeuphonicTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -56,14 +56,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = NeuphonicTTSService(
         api_key=os.getenv("NEUPHONIC_API_KEY"),
-        settings=NeuphonicTTSSettings(
+        settings=NeuphonicTTSService.Settings(
             voice="fc854436-2dac-4d21-aa69-ae17b54e98eb",  # Emily
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07w-interruptible-fal.py

@@ -23,9 +23,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.fal.stt import FalSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -62,14 +62,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = CartesiaTTSService(
             api_key=os.getenv("CARTESIA_API_KEY"),
-            settings=CartesiaTTSSettings(
+            settings=CartesiaTTSService.Settings(
                 voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
             ),
         )
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07x-interruptible-local.py

@@ -21,9 +21,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
     LLMUserAggregatorParams,
 )
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.local.audio import LocalAudioTransport, LocalAudioTransportParams
 
 load_dotenv(override=True)
@@ -44,14 +44,14 @@ async def main():
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07y-interruptible-minimax.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.minimax.tts import MiniMaxHttpTTSService, MiniMaxTTSSettings
+from pipecat.services.minimax.tts import MiniMaxHttpTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -63,14 +63,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             api_key=os.getenv("MINIMAX_API_KEY", ""),
             group_id=os.getenv("MINIMAX_GROUP_ID", ""),
             aiohttp_session=session,
-            settings=MiniMaxTTSSettings(
+            settings=MiniMaxHttpTTSService.Settings(
                 language=Language.EN,
             ),
         )
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07z-interruptible-sarvam-http.py

@@ -23,9 +23,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.sarvam.stt import SarvamSTTService, SarvamSTTSettings
+from pipecat.services.sarvam.stt import SarvamSTTService
-from pipecat.services.sarvam.tts import SarvamHttpTTSService, SarvamHttpTTSSettings
+from pipecat.services.sarvam.tts import SarvamHttpTTSService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -59,7 +59,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async with aiohttp.ClientSession() as session:
         stt = SarvamSTTService(
             api_key=os.getenv("SARVAM_API_KEY"),
-            settings=SarvamSTTSettings(
+            settings=SarvamSTTService.Settings(
                 model="saarika:v2.5",
             ),
         )
@@ -67,14 +67,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         tts = SarvamHttpTTSService(
             api_key=os.getenv("SARVAM_API_KEY"),
             aiohttp_session=session,
-            settings=SarvamHttpTTSSettings(
+            settings=SarvamHttpTTSService.Settings(
                 language=Language.EN_IN,
             ),
         )
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07z-interruptible-sarvam.py

@@ -21,9 +21,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.sarvam.stt import SarvamSTTService, SarvamSTTSettings
+from pipecat.services.sarvam.stt import SarvamSTTService
-from pipecat.services.sarvam.tts import SarvamTTSService, SarvamTTSSettings
+from pipecat.services.sarvam.tts import SarvamTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -54,21 +54,21 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = SarvamSTTService(
         api_key=os.getenv("SARVAM_API_KEY"),
-        settings=SarvamSTTSettings(
+        settings=SarvamSTTService.Settings(
             model="saarika:v2.5",
         ),
     )
 
     tts = SarvamTTSService(
         api_key=os.getenv("SARVAM_API_KEY"),
-        settings=SarvamTTSSettings(
+        settings=SarvamTTSService.Settings(
             model="bulbul:v2",
             voice="manisha",
         ),
     )
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07za-interruptible-soniox.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.soniox.stt import SonioxSTTService, SonioxSTTSettings
+from pipecat.services.soniox.stt import SonioxSTTService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -53,7 +53,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = SonioxSTTService(
         api_key=os.getenv("SONIOX_API_KEY"),
-        settings=SonioxSTTSettings(
+        settings=SonioxSTTService.Settings(
             # Add language hints to use a specific language
             # Add strict mode to enforce the language hints
             language_hints=[Language.EN],
@@ -63,14 +63,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07zb-interruptible-inworld-http.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.inworld.tts import InworldHttpTTSService, InworldTTSSettings
+from pipecat.services.inworld.tts import InworldHttpTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_output import BaseOutputTransport
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -59,7 +59,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             api_key=os.getenv("INWORLD_API_KEY", ""),
             aiohttp_session=session,
             streaming=True,
-            settings=InworldTTSSettings(
+            settings=InworldHttpTTSService.Settings(
                 voice="Ashley",
                 model="inworld-tts-1",
             ),
@@ -68,7 +68,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful AI demonstrating Inworld AI's TTS. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a friendly and helpful way.",
             ),
         )

examples/foundational/07zb-interruptible-inworld.py

@@ -22,8 +22,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.inworld.tts import InworldTTSService, InworldTTSSettings
+from pipecat.services.inworld.tts import InworldTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -54,7 +54,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = InworldTTSService(
         api_key=os.getenv("INWORLD_API_KEY", ""),
-        settings=InworldTTSSettings(
+        settings=InworldTTSService.Settings(
             voice="Ashley",
             model="inworld-tts-1",
             temperature=1.1,
@@ -63,7 +63,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful AI demonstrating Inworld AI's TTS. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a friendly and helpful way.",
         ),
     )

examples/foundational/07zc-interruptible-asyncai-http.py

@@ -23,9 +23,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.asyncai.tts import AsyncAIHttpTTSService, AsyncAITTSSettings
+from pipecat.services.asyncai.tts import AsyncAIHttpTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -60,7 +60,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         tts = AsyncAIHttpTTSService(
             api_key=os.getenv("ASYNCAI_API_KEY", ""),
-            settings=AsyncAITTSSettings(
+            settings=AsyncAIHttpTTSService.Settings(
                 voice="e0f39dc4-f691-4e78-bba5-5c636692cc04",
             ),
             aiohttp_session=session,
@@ -68,7 +68,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         llm = OpenAILLMService(
             api_key=os.getenv("OPENAI_API_KEY"),
-            settings=OpenAILLMSettings(
+            settings=OpenAILLMService.Settings(
                 system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
             ),
         )

examples/foundational/07zc-interruptible-asyncai.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.asyncai.tts import AsyncAITTSService, AsyncAITTSSettings
+from pipecat.services.asyncai.tts import AsyncAITTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -57,14 +57,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = AsyncAITTSService(
         api_key=os.getenv("ASYNCAI_API_KEY", ""),
-        settings=AsyncAITTSSettings(
+        settings=AsyncAITTSService.Settings(
             voice="e0f39dc4-f691-4e78-bba5-5c636692cc04",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07zd-interruptible-aicoustics.py

@@ -25,9 +25,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -77,14 +77,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07ze-interruptible-hume.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.hume.tts import HUME_SAMPLE_RATE, HumeTTSService, HumeTTSSettings
+from pipecat.services.hume.tts import HUME_SAMPLE_RATE, HumeTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_output import BaseOutputTransport
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -59,14 +59,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     tts = HumeTTSService(
         api_key=os.getenv("HUME_API_KEY"),
         # Replace with your Hume voice ID
-        settings=HumeTTSSettings(
+        settings=HumeTTSService.Settings(
             voice="f898a92e-685f-43fa-985b-a46920f0650b",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07zf-interruptible-gradium.py

@@ -21,9 +21,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.gradium.stt import GradiumSTTService, GradiumSTTSettings
+from pipecat.services.gradium.stt import GradiumSTTService
-from pipecat.services.gradium.tts import GradiumTTSService, GradiumTTSSettings
+from pipecat.services.gradium.tts import GradiumTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -55,7 +55,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = GradiumSTTService(
         api_key=os.getenv("GRADIUM_API_KEY"),
         api_endpoint_base_url="wss://us.api.gradium.ai/api/speech/asr",
-        settings=GradiumSTTSettings(
+        settings=GradiumSTTService.Settings(
             language=Language.EN,
         ),
     )
@@ -63,14 +63,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     tts = GradiumTTSService(
         api_key=os.getenv("GRADIUM_API_KEY"),
         url="wss://us.api.gradium.ai/api/speech/tts",
-        settings=GradiumTTSSettings(
+        settings=GradiumTTSService.Settings(
             voice="YTpq7expH9539ERJ",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07zg-interruptible-camb.py

@@ -21,9 +21,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.camb.tts import CambTTSService, CambTTSSettings
+from pipecat.services.camb.tts import CambTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -56,14 +56,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CambTTSService(
         api_key=os.getenv("CAMB_API_KEY"),
-        settings=CambTTSSettings(
+        settings=CambTTSService.Settings(
             model="mars-flash",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful voice assistant powered by Camb AI text-to-speech. ",
         ),
     )

examples/foundational/07zi-interruptible-piper.py

@@ -22,8 +22,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.piper.tts import PiperTTSService, PiperTTSSettings
+from pipecat.services.piper.tts import PiperTTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -55,14 +55,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
 
     tts = PiperTTSService(
-        settings=PiperTTSSettings(
+        settings=PiperTTSService.Settings(
             voice="en_US-ryan-high",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07zj-interruptible-kokoro.py

@@ -22,8 +22,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.kokoro.tts import KokoroTTSService, KokoroTTSSettings
+from pipecat.services.kokoro.tts import KokoroTTSService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -55,14 +55,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
 
     tts = KokoroTTSService(
-        settings=KokoroTTSSettings(
+        settings=KokoroTTSService.Settings(
             voice="af_heart",
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/07zk-interruptible-resemble.py

@@ -22,8 +22,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
-from pipecat.services.resembleai.tts import ResembleAITTSService, ResembleAITTSSettings
+from pipecat.services.resembleai.tts import ResembleAITTSService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -59,14 +59,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = ResembleAITTSService(
         api_key=os.getenv("RESEMBLE_API_KEY"),
-        settings=ResembleAITTSSettings(
+        settings=ResembleAITTSService.Settings(
             voice=os.getenv("RESEMBLE_VOICE_UUID"),
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/08-custom-frame-processor.py

@@ -26,9 +26,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 
@@ -95,14 +95,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/10-wake-phrase.py

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 from pipecat.processors.filters.wake_check_filter import WakeCheckFilter
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -56,14 +56,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful assistant. Respond to what the user said in a creative and helpful way. Keep your responses brief.",
         ),
     )

examples/foundational/11-sound-effects.py

@@ -30,9 +30,9 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.processors.logger import FrameLogger
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -106,14 +106,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )

examples/foundational/12-describe-image-openai.py

@@ -23,9 +23,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 
@@ -53,14 +53,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are also able to describe images.",
         ),
     )

examples/foundational/12a-describe-image-anthropic.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.anthropic.llm import AnthropicLLMService, AnthropicLLMSettings
+from pipecat.services.anthropic.llm import AnthropicLLMService
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -53,14 +53,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = AnthropicLLMService(
         api_key=os.getenv("ANTHROPIC_API_KEY"),
-        settings=AnthropicLLMSettings(
+        settings=AnthropicLLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are also able to describe images.",
         ),
     )

examples/foundational/12b-describe-image-aws.py

@@ -23,8 +23,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.aws.llm import AWSBedrockLLMService, AWSBedrockLLMSettings
+from pipecat.services.aws.llm import AWSBedrockLLMService
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -53,14 +53,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = AWSBedrockLLMService(
         aws_region="us-west-2",
-        settings=AWSBedrockLLMSettings(
+        settings=AWSBedrockLLMService.Settings(
             model="us.anthropic.claude-sonnet-4-6",
             temperature=0.8,
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are also able to describe images.",

examples/foundational/12c-describe-image-gemini-flash.py

@@ -23,9 +23,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
+from pipecat.services.google.llm import GoogleLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 
@@ -53,14 +53,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = GoogleLLMService(
         api_key=os.getenv("GOOGLE_API_KEY"),
-        settings=GoogleLLMSettings(
+        settings=GoogleLLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are also able to describe images.",
         ),
     )

examples/foundational/12d-describe-image-moondream.py

@@ -17,7 +17,7 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.moondream.vision import MoondreamService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -42,7 +42,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )

examples/foundational/13b-deepgram-transcription.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.deepgram.stt import DeepgramSTTService, DeepgramSTTSettings, Language
+from pipecat.services.deepgram.stt import DeepgramSTTService, Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -49,7 +49,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = DeepgramSTTService(
         api_key=os.getenv("DEEPGRAM_API_KEY"),
-        settings=DeepgramSTTSettings(
+        settings=DeepgramSTTService.Settings(
             language=Language.EN,
         ),
     )

examples/foundational/13c-gladia-translation.py

@@ -17,12 +17,11 @@ from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.gladia.config import (
-    GladiaInputParams,
     LanguageConfig,
     RealtimeProcessingConfig,
     TranslationConfig,
 )
-from pipecat.services.gladia.stt import GladiaSTTService, GladiaSTTSettings
+from pipecat.services.gladia.stt import GladiaSTTService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -59,7 +58,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = GladiaSTTService(
         api_key=os.getenv("GLADIA_API_KEY"),
         region=os.getenv("GLADIA_REGION"),
-        settings=GladiaSTTSettings(
+        settings=GladiaSTTService.Settings(
             language_config=LanguageConfig(
                 languages=[Language.EN],
                 code_switching=False,

examples/foundational/13d-assemblyai-transcription.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.assemblyai.stt import AssemblyAISTTService, AssemblyAISTTSettings
+from pipecat.services.assemblyai.stt import AssemblyAISTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -49,7 +49,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = AssemblyAISTTService(
         api_key=os.getenv("ASSEMBLYAI_API_KEY"),
-        settings=AssemblyAISTTSettings(
+        settings=AssemblyAISTTService.Settings(
             model="u3-rt-pro",
         ),
     )

examples/foundational/13e-whisper-mlx.py

@@ -18,7 +18,7 @@ from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.whisper.stt import MLXModel, WhisperMLXSTTSettings, WhisperSTTServiceMLX
+from pipecat.services.whisper.stt import MLXModel, WhisperSTTServiceMLX
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -78,7 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     logger.info(f"Starting bot")
 
     stt = WhisperSTTServiceMLX(
-        settings=WhisperMLXSTTSettings(
+        settings=WhisperSTTServiceMLX.Settings(
             model=MLXModel.LARGE_V3_TURBO,
         ),
     )

examples/foundational/13g-sambanova-transcription.py

@@ -19,7 +19,7 @@ from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.sambanova.stt import SambaNovaSTTService, SambaNovaSTTSettings
+from pipecat.services.sambanova.stt import SambaNovaSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     logger.info(f"Starting bot")
 
     stt = SambaNovaSTTService(
-        settings=SambaNovaSTTSettings(
+        settings=SambaNovaSTTService.Settings(
             model="Whisper-Large-v3",
         ),
         api_key=os.getenv("SAMBANOVA_API_KEY"),

examples/foundational/13h-speechmatics-transcription.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.speechmatics.stt import SpeechmaticsSTTService, SpeechmaticsSTTSettings
+from pipecat.services.speechmatics.stt import SpeechmaticsSTTService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -65,7 +65,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = SpeechmaticsSTTService(
         api_key=os.getenv("SPEECHMATICS_API_KEY"),
-        settings=SpeechmaticsSTTSettings(
+        settings=SpeechmaticsSTTService.Settings(
             language=Language.EN,
             speaker_active_format="<{speaker_id}>{text}</{speaker_id}>",
         ),

examples/foundational/13l-gradium-transcription.py

@@ -16,7 +16,7 @@ from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.gradium.stt import GradiumSTTService, GradiumSTTSettings
+from pipecat.services.gradium.stt import GradiumSTTService
 from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -52,7 +52,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     stt = GradiumSTTService(
         api_key=os.getenv("GRADIUM_API_KEY"),
         api_endpoint_base_url="wss://us.api.gradium.ai/api/speech/asr",
-        settings=GradiumSTTSettings(
+        settings=GradiumSTTService.Settings(
             language=Language.EN,
             delay_in_frames=8,
         ),

examples/foundational/13m-openai-transcription.py

@@ -18,7 +18,7 @@ from pipecat.pipeline.task import PipelineTask
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.openai.stt import OpenAIRealtimeSTTService, OpenAIRealtimeSTTSettings
+from pipecat.services.openai.stt import OpenAIRealtimeSTTService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -53,7 +53,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     stt = OpenAIRealtimeSTTService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAIRealtimeSTTSettings(
+        settings=OpenAIRealtimeSTTService.Settings(
             model="gpt-4o-transcribe",
             prompt="Expect words related to dogs, such as breed names.",
         ),

examples/foundational/14-function-calling.py

@@ -23,10 +23,10 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -67,14 +67,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/14a-function-calling-anthropic.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.anthropic.llm import AnthropicLLMService, AnthropicLLMSettings
+from pipecat.services.anthropic.llm import AnthropicLLMService
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -69,14 +69,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = AnthropicLLMService(
         api_key=os.getenv("ANTHROPIC_API_KEY"),
-        settings=AnthropicLLMSettings(
+        settings=AnthropicLLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/14c-function-calling-together.py

@@ -24,10 +24,10 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
-from pipecat.services.together.llm import TogetherLLMService, TogetherLLMSettings
+from pipecat.services.together.llm import TogetherLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -64,14 +64,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = TogetherLLMService(
         api_key=os.getenv("TOGETHER_API_KEY"),
-        settings=TogetherLLMSettings(
+        settings=TogetherLLMService.Settings(
             model="meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),

examples/foundational/14d-function-calling-anthropic-video.py

@@ -28,8 +28,8 @@ from pipecat.runner.utils import (
     get_transport_client_id,
     maybe_capture_participant_camera,
 )
-from pipecat.services.anthropic.llm import AnthropicLLMService, AnthropicLLMSettings
+from pipecat.services.anthropic.llm import AnthropicLLMService
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -90,7 +90,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
@@ -98,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     # Anthropic for vision analysis
     llm = AnthropicLLMService(
         api_key=os.getenv("ANTHROPIC_API_KEY"),
-        settings=AnthropicLLMSettings(
+        settings=AnthropicLLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are able to describe images from the user camera.",
         ),
     )

examples/foundational/14d-function-calling-aws-video.py

@@ -28,8 +28,8 @@ from pipecat.runner.utils import (
     get_transport_client_id,
     maybe_capture_participant_camera,
 )
-from pipecat.services.aws.llm import AWSBedrockLLMService, AWSBedrockLLMSettings
+from pipecat.services.aws.llm import AWSBedrockLLMService
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -90,7 +90,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
@@ -98,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     # AWS for vision analysis
     llm = AWSBedrockLLMService(
         aws_region="us-west-2",
-        settings=AWSBedrockLLMSettings(
+        settings=AWSBedrockLLMService.Settings(
             model="us.anthropic.claude-sonnet-4-6",
             # Note: usually, prefer providing latency="optimized" param.
             # Here we can't because AWS Bedrock doesn't support it for Claude 3.7,

examples/foundational/14d-function-calling-gemini-flash-video.py

@@ -28,9 +28,9 @@ from pipecat.runner.utils import (
     get_transport_client_id,
     maybe_capture_participant_camera,
 )
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
+from pipecat.services.google.llm import GoogleLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -90,7 +90,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
@@ -98,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     # Google Gemini model for vision analysis
     llm = GoogleLLMService(
         api_key=os.getenv("GOOGLE_API_KEY"),
-        settings=GoogleLLMSettings(
+        settings=GoogleLLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are able to describe images from the user camera.",
         ),
     )

examples/foundational/14d-function-calling-moondream-video.py

@@ -37,11 +37,11 @@ from pipecat.runner.utils import (
     get_transport_client_id,
     maybe_capture_participant_camera,
 )
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.moondream.vision import MoondreamService
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 
@@ -121,14 +121,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are able to describe images from the user camera.",
         ),
     )

examples/foundational/14d-function-calling-openai-video.py

@@ -29,10 +29,10 @@ from pipecat.runner.utils import (
     get_transport_client_id,
     maybe_capture_participant_camera,
 )
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
-from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 
@@ -91,14 +91,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = OpenAILLMService(
         api_key=os.getenv("OPENAI_API_KEY"),
-        settings=OpenAILLMSettings(
+        settings=OpenAILLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way. You are able to describe images from the user camera.",
         ),
     )

examples/foundational/14e-function-calling-google.py

@@ -29,9 +29,9 @@ from pipecat.runner.utils import (
     get_transport_client_id,
     maybe_capture_participant_camera,
 )
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
+from pipecat.services.google.llm import GoogleLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -100,7 +100,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
@@ -126,7 +126,7 @@ indicate you should use the get_image tool are:
 
     llm = GoogleLLMService(
         api_key=os.getenv("GOOGLE_API_KEY"),
-        settings=GoogleLLMSettings(
+        settings=GoogleLLMService.Settings(
             system_instruction=system_prompt,
         ),
     )

examples/foundational/14f-function-calling-groq.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
-from pipecat.services.groq.llm import GroqLLMService, GroqLLMSettings
+from pipecat.services.groq.llm import GroqLLMService
 from pipecat.services.groq.stt import GroqSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -64,14 +64,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = GroqLLMService(
         api_key=os.getenv("GROQ_API_KEY"),
-        settings=GroqLLMSettings(
+        settings=GroqLLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/14g-function-calling-grok.py

@@ -24,9 +24,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.grok.llm import GrokLLMService, GrokLLMSettings
+from pipecat.services.grok.llm import GrokLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -64,14 +64,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = GrokLLMService(
         api_key=os.getenv("GROK_API_KEY"),
-        settings=GrokLLMSettings(
+        settings=GrokLLMService.Settings(
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),
     )

examples/foundational/14h-function-calling-azure.py

@@ -24,8 +24,8 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.azure.llm import AzureLLMService, AzureLLMSettings
+from pipecat.services.azure.llm import AzureLLMService
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
@@ -64,7 +64,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
@@ -72,7 +72,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     llm = AzureLLMService(
         api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
         endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
-        settings=AzureLLMSettings(
+        settings=AzureLLMService.Settings(
             model=os.getenv("AZURE_CHATGPT_MODEL"),
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),

examples/foundational/14i-function-calling-fireworks.py

@@ -24,9 +24,9 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
-from pipecat.services.fireworks.llm import FireworksLLMService, FireworksLLMSettings
+from pipecat.services.fireworks.llm import FireworksLLMService
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
@@ -64,14 +64,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = FireworksLLMService(
         api_key=os.getenv("FIREWORKS_API_KEY"),
-        settings=FireworksLLMSettings(
+        settings=FireworksLLMService.Settings(
             model="accounts/fireworks/models/gpt-oss-20b",
             system_instruction="You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.",
         ),

examples/foundational/14j-function-calling-nvidia.py

@@ -24,10 +24,10 @@ from pipecat.processors.aggregators.llm_response_universal import (
 )
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
-from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
+from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.llm_service import FunctionCallParams
-from pipecat.services.nvidia.llm import NvidiaLLMService, NvidiaLLMSettings
+from pipecat.services.nvidia.llm import NvidiaLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -64,14 +64,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
-        settings=CartesiaTTSSettings(
+        settings=CartesiaTTSService.Settings(
             voice="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
         ),
     )
 
     llm = NvidiaLLMService(
         api_key=os.getenv("NVIDIA_API_KEY"),
-        settings=NvidiaLLMSettings(
+        settings=NvidiaLLMService.Settings(
             model="nvidia/llama-3.3-nemotron-super-49b-v1.5",
             # Recommended when turning thinking off
             temperature=0.0,