Merge pull request #4000 from pipecat-ai/mb/fix-openai-default-model
Fix: Restore default model to gpt-4.1 for OpenAI, Azure
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@@ -58,7 +58,6 @@ async def main():
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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settings=OpenAILLMService.Settings(
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model="gpt-4o",
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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.",
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),
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)
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@@ -79,7 +79,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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instructions="Please speak clearly and at a moderate pace.",
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)
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# model choices: gpt-4o, gpt-4.1, etc.
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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settings=OpenAILLMService.Settings(
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@@ -73,7 +73,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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settings=OpenAILLMService.Settings(
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model="gpt-4o-mini",
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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.",
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),
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)
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@@ -24,7 +24,7 @@ The PatternPairAggregator:
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- Returns processed text at sentence boundaries
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Requirements:
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- OpenAI API key (for GPT-4o)
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- OpenAI API key
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- Cartesia API key (for text-to-speech)
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- Daily API key (for video/audio transport)
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@@ -24,7 +24,7 @@ Example usage (run from pipecat root directory):
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$ python examples/foundational/37-mem0.py
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Requirements:
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- OpenAI API key (for GPT-4o-mini)
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- OpenAI API key
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- ElevenLabs API key (for text-to-speech)
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- Daily API key (for video/audio transport)
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- Mem0 API key (for cloud-based memory storage)
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@@ -226,7 +226,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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settings=OpenAILLMService.Settings(
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model="gpt-4o-mini",
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system_instruction="""You are a personal assistant. You can remember things about the person you are talking to.
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Some Guidelines:
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- Make sure your responses are friendly yet short and concise.
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