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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.

Questo esercizio fa parte del corso

Introduction to Amazon Bedrock

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Istruzioni dell'esercizio

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

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

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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