What will be a simple example for boto3 client

import boto3

from botocore.exceptions import ClientError

# 1. Initialize the bedrock-runtime client

# This establishes the secure link to the inference engines

bedrock_runtime = boto3.client(

    service_name='bedrock-runtime', 

    region_name='us-east-1' # Or your preferred Bedrock region

)

# 2. Define the model you want to use (e.g., Anthropic Claude 3.5 Sonnet)

model_id = "anthropic.claude-3-5-sonnet-20240620-v1:0"

# 3. Format the conversation structure

messages = [

    {

        "role": "user",

        "content": [{"text": "What is the best way for a startup to scale database reads?"}]

    }

]

try:

    # 4. Invoke the model using the Converse API

    response = bedrock_runtime.converse(

        modelId=model_id,

        messages=messages,

        inferenceConfig={"maxTokens": 500, "temperature": 0.5}

    )

    

    # 5. Extract the text answer returned by the model

    output_text = response['output']['message']['content'][0]['text']

    print(output_text)

except ClientError as e:

    print(f"ERROR: Can't invoke {model_id}. Reason: {e}")