Update examples to use the class Settings alias

examples/foundational/55zza-update-settings-grok-llm.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.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.openai.base_llm import OpenAILLMSettings
+from pipecat.services.grok.llm import GrokLLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -55,14 +54,14 @@ 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.",
         ),
     )
@@ -102,7 +101,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         await asyncio.sleep(10)
         logger.info("Updating Grok LLM settings: temperature=0.1")
-        await task.queue_frame(LLMUpdateSettingsFrame(delta=OpenAILLMSettings(temperature=0.1)))
+        await task.queue_frame(
+            LLMUpdateSettingsFrame(delta=GrokLLMService.Settings(temperature=0.1))
+        )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):