Add LLMService stubs for Grok and Groq, add examples
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@@ -5,10 +5,15 @@
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#
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import asyncio
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import aiohttp
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import os
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import sys
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import aiohttp
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from dotenv import load_dotenv
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from loguru import logger
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from openai.types.chat import ChatCompletionToolParam
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from runner import configure
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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@@ -18,14 +23,6 @@ from pipecat.services.openai import OpenAILLMContext
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from pipecat.services.together import TogetherLLMService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from openai.types.chat import ChatCompletionToolParam
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from runner import configure
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from loguru import logger
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from dotenv import load_dotenv
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load_dotenv(override=True)
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logger.remove(0)
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@@ -125,7 +122,7 @@ async def main():
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async def on_first_participant_joined(transport, participant):
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await transport.capture_participant_transcription(participant["id"])
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# Kick off the conversation.
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# await tts.say("Hi! Ask me about the weather in San Francisco.")
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await task.queue_frames([context_aggregator.user().get_context_frame()])
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runner = PipelineRunner()
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