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Fix AWS examples, update to sonnet 4.6

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This commit is contained in:
Mark Backman
2026-03-06 20:48:26 -05:00
parent 671e9a6846
commit 750b87dc24
5 changed files with 7 additions and 10 deletions
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4
examples/foundational/07m-interruptible-aws-strands.py
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@@ -104,7 +104,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Create Strands agent processor # Create Strands agent processor
try: try:
agent = build_agent(model_id="us.anthropic.claude-3-5-haiku-20241022-v1:0", max_tokens=8000) agent = build_agent(model_id="us.anthropic.claude-sonnet-4-6", max_tokens=8000)
llm = StrandsAgentsProcessor(agent=agent) llm = StrandsAgentsProcessor(agent=agent)
logger.info("Successfully created Strands agent for NAB customer service coaching") logger.info("Successfully created Strands agent for NAB customer service coaching")
except Exception as e: except Exception as e:
@@ -152,7 +152,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
messages=[ messages=[
{ {
"role": "user", "role": "user",
"content": f"Greet the user and introduce yourself.", "content": f"Greet the user and introduce yourself. Don't use emojis.",
} }
], ],
run_llm=True, run_llm=True,

2
examples/foundational/07m-interruptible-aws.py
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@@ -64,7 +64,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = AWSBedrockLLMService( llm = AWSBedrockLLMService(
aws_region="us-west-2", aws_region="us-west-2",
settings=AWSBedrockLLMSettings( settings=AWSBedrockLLMSettings(
model="us.anthropic.claude-haiku-4-5-20251001-v1:0", model="us.anthropic.claude-sonnet-4-6",
temperature=0.8, temperature=0.8,
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.", 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.",
), ),

7
examples/foundational/12b-describe-image-aws.py
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@@ -61,11 +61,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = AWSBedrockLLMService( llm = AWSBedrockLLMService(
aws_region="us-west-2", aws_region="us-west-2",
settings=AWSBedrockLLMSettings( settings=AWSBedrockLLMSettings(
model="us.anthropic.claude-3-7-sonnet-20250219-v1:0", model="us.anthropic.claude-sonnet-4-6",
# Note: usually, prefer providing latency="optimized" param. temperature=0.8,
# Here we can't because AWS Bedrock doesn't support it for Claude 3.7,
# which we need for image input.
params=AWSBedrockLLMService.InputParams(temperature=0.8),
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.", 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.",
), ),
) )

2
examples/foundational/14r-function-calling-aws.py
View File

@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = AWSBedrockLLMService( llm = AWSBedrockLLMService(
aws_region="us-west-2", aws_region="us-west-2",
settings=AWSBedrockLLMSettings( settings=AWSBedrockLLMSettings(
model="us.anthropic.claude-haiku-4-5-20251001-v1:0", model="us.anthropic.claude-sonnet-4-6",
temperature=0.8, temperature=0.8,
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.", 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.",
), ),

2
examples/foundational/55zp-update-settings-aws-bedrock-llm.py
View File

@@ -62,7 +62,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm = AWSBedrockLLMService( llm = AWSBedrockLLMService(
aws_region="us-west-2", aws_region="us-west-2",
settings=AWSBedrockLLMSettings( settings=AWSBedrockLLMSettings(
model="us.anthropic.claude-haiku-4-5-20251001-v1:0", model="us.anthropic.claude-sonnet-4-6",
temperature=0.8, temperature=0.8,
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.", 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.",
), ),