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Styled content generation with Bedrock

StellarStack’s developer-relations team is writing blog content. You’ll build a system prompt that tells Claude to use a professional-yet-friendly voice when explaining cloud best practices to StellarStack users.

The json and boto3 libraries, as well as the bedrock client, are preloaded.

Deze oefening maakt deel uit van de cursus

Introduction to Amazon Bedrock

Cursus bekijken

Oefeninstructies

  • Use values from the prompt_template dictionary to build the final prompt.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

prompt_template = {
    "tone": "Write in a professional but friendly tone.",
    "task": "Write a blog post about",
    "topic": "multi-cloud best practices for StellarStack users"
}

# Use the dictionary values to build the prompt 
prompt = f"{prompt_template['____']}\n{prompt_template['____']} {prompt_template['____']}"

response = bedrock.invoke_model(modelId="anthropic.claude-3-5-sonnet-20240620-v1:0",
    body=json.dumps({"anthropic_version": "bedrock-2023-05-31", "max_tokens": 100,
        "messages": [{"role": "user", "content": [{"type": "text", "text": prompt}]}]}))

print(json.loads(response["body"].read().decode())["content"][0]["text"])
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