Move system_instruction into LLMSettings
Add `system_instruction` field to `LLMSettings` so it is runtime-updatable via settings. For Google (GoogleLLMService, GoogleVertexLLMService), deprecate the init-time arg since it was already shipped. For Anthropic, AWS Bedrock, and OpenAI, remove the init-time arg entirely since it was never shipped. Add system instruction prepend logic to `build_chat_completion_params` overrides in Cerebras, SambaNova, Fireworks, Mistral, and Perplexity, which build params from scratch rather than calling `super()`. Still need to handle realtime services (OpenAI Realtime, Grok Realtime, Gemini Live).
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@@ -24,7 +24,7 @@ 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.tts import CartesiaTTSService, CartesiaTTSSettings
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.google.llm import GoogleLLMService
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from pipecat.services.google.llm import GoogleLLMService, GoogleLLMSettings
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from pipecat.services.heygen.api_liveavatar import LiveAvatarNewSessionRequest
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from pipecat.services.heygen.client import ServiceType
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from pipecat.services.heygen.video import HeyGenVideoService
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@@ -70,7 +70,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = GoogleLLMService(
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api_key=os.getenv("GOOGLE_API_KEY"),
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system_instruction="You are a helpful assistant. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Be succinct and respond to what the user said in a creative and helpful way.",
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settings=GoogleLLMSettings(
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system_instruction="You are a helpful assistant. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Be succinct and respond to what the user said in a creative and helpful way.",
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),
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)
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heyGen = HeyGenVideoService(
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