Update examples to use the class Settings alias
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@@ -27,12 +27,12 @@ from pipecat.processors.aggregators.llm_response_universal import (
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.cartesia.stt import CartesiaSTTService
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from pipecat.services.cartesia.tts import CartesiaTTSService, CartesiaTTSSettings
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from pipecat.services.cartesia.tts import CartesiaTTSService
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.deepgram.tts import DeepgramTTSService, DeepgramTTSSettings
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from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
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from pipecat.services.deepgram.tts import DeepgramTTSService
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from pipecat.services.google.llm import GoogleLLMService
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from pipecat.services.llm_service import FunctionCallParams
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from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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@@ -102,13 +102,13 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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tts_cartesia = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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settings=CartesiaTTSSettings(
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settings=CartesiaTTSService.Settings(
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voice="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
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),
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)
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tts_deepgram = DeepgramTTSService(
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api_key=os.getenv("DEEPGRAM_API_KEY"),
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settings=DeepgramTTSSettings(
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settings=DeepgramTTSService.Settings(
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voice="aura-2-helena-en",
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),
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)
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@@ -120,11 +120,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm_openai = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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settings=OpenAILLMSettings(system_instruction=system_prompt),
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settings=OpenAILLMService.Settings(system_instruction=system_prompt),
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)
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llm_google = GoogleLLMService(
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api_key=os.getenv("GOOGLE_API_KEY"),
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settings=GoogleLLMSettings(system_instruction=system_prompt),
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settings=GoogleLLMService.Settings(system_instruction=system_prompt),
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)
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llm_switcher = LLMSwitcher(
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llms=[llm_openai, llm_google], strategy_type=ServiceSwitcherStrategyManual
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