Fix AWS examples, update to sonnet 4.6
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@@ -104,7 +104,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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# Create Strands agent processor
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try:
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agent = build_agent(model_id="us.anthropic.claude-3-5-haiku-20241022-v1:0", max_tokens=8000)
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agent = build_agent(model_id="us.anthropic.claude-sonnet-4-6", max_tokens=8000)
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llm = StrandsAgentsProcessor(agent=agent)
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logger.info("Successfully created Strands agent for NAB customer service coaching")
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except Exception as e:
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@@ -152,7 +152,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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messages=[
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{
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"role": "user",
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"content": f"Greet the user and introduce yourself.",
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"content": f"Greet the user and introduce yourself. Don't use emojis.",
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}
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],
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run_llm=True,
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@@ -64,7 +64,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = AWSBedrockLLMService(
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aws_region="us-west-2",
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settings=AWSBedrockLLMSettings(
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model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
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model="us.anthropic.claude-sonnet-4-6",
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temperature=0.8,
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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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@@ -61,11 +61,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = AWSBedrockLLMService(
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aws_region="us-west-2",
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settings=AWSBedrockLLMSettings(
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model="us.anthropic.claude-3-7-sonnet-20250219-v1:0",
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# Note: usually, prefer providing latency="optimized" param.
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# Here we can't because AWS Bedrock doesn't support it for Claude 3.7,
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# which we need for image input.
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params=AWSBedrockLLMService.InputParams(temperature=0.8),
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model="us.anthropic.claude-sonnet-4-6",
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temperature=0.8,
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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. You are also able to describe images.",
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),
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)
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@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = AWSBedrockLLMService(
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aws_region="us-west-2",
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settings=AWSBedrockLLMSettings(
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model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
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model="us.anthropic.claude-sonnet-4-6",
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temperature=0.8,
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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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@@ -62,7 +62,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = AWSBedrockLLMService(
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aws_region="us-west-2",
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settings=AWSBedrockLLMSettings(
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model="us.anthropic.claude-haiku-4-5-20251001-v1:0",
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model="us.anthropic.claude-sonnet-4-6",
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temperature=0.8,
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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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