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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@@ -58,7 +58,7 @@ 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.openai.llm import OpenAILLMService
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from pipecat.services.openai.llm import OpenAILLMService, OpenAILLMSettings
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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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@@ -186,7 +186,9 @@ Remember: Use narrator voice for EVERYTHING except the actual quoted dialogue.""
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# Initialize LLM
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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system_instruction=system_prompt,
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settings=OpenAILLMSettings(
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system_instruction=system_prompt,
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),
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)
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context = LLMContext()
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