Switching from Claude to Nova

def summarize_blog(
    blog_body,
    language,
    persona,
):
    """Summarize the content of a blog post
    Args:
        blog_body (str): The content of the blog post to be summarized
        language (str): The language for the summary
        persona (str): The persona to use for the summary

    Returns:
        str: The summarized text
    """

    boto3_bedrock = get_bedrock_client(
        assumed_role=os.environ.get("BEDROCK_ASSUME_ROLE", None),
        region=MODEL_REGION,
    )
    beginning_word = ""
    prompt_data = f"""
{blog_body}
You are a professional {persona}. 
Describe a new update in  tags in bullet points to describe "What is the new feature", "Who is this update good for". description shall be output in  tags and each thinking sentence must start with the bullet point "- " and end with "\n". Make final summary as per  tags. Try to shorten output for easy reading. You are not allowed to utilize any information except in the input. output format shall be in accordance with  tags.
In {language}.
The final summary must consists of 1 or 2 sentences. Output format is defined in  tags.
(bullet points of the input)(final summary)
Follow the instruction.
"""

    max_tokens = 4096

    user_message = {
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": prompt_data,
            }
        ],
    }

    assistant_message = {
        "role": "assistant",
        "content": [{"type": "text", "text": f"{beginning_word}"}],
    }

    messages = [user_message, assistant_message]

    body = json.dumps(
        {
            "anthropic_version": "bedrock-2023-05-31",
            "max_tokens": max_tokens,
            "messages": messages,
            "temperature": 0.5,
            "top_p": 1,
            "top_k": 250,
        }
    )

    accept = "application/json"
    contentType = "application/json"
    outputText = "\n"

    try:
        response = boto3_bedrock.invoke_model(
            body=body, modelId=MODEL_ID, accept=accept, contentType=contentType
        )
        response_body = json.loads(response.get("body").read().decode())
        outputText = beginning_word + response_body.get("content")[0]["text"]
        print(outputText)
        # extract contant inside  tag
        summary = re.findall(r"([\s\S]*?)", outputText)[0]
        detail = re.findall(r"([\s\S]*?)", outputText)[0]
    except ClientError as error:
        if error.response["Error"]["Code"] == "AccessDeniedException":
            print(
                f"\x1b[41m{error.response['Error']['Message']}\
            \nTo troubeshoot this issue please refer to the following resources.\ \nhttps://docs.aws.amazon.com/IAM/latest/UserGuide/troubleshoot_access-denied.html\
            \nhttps://docs.aws.amazon.com/bedrock/latest/userguide/security-iam.html\x1b[0m\n"
            )
        else:
            raise error

    return summary, detail

def summarize_blog(
    blog_body,
    language,
    persona,
):
    """Summarize the content of a blog post
    Args:
        blog_body (str): The content of the blog post to be summarized
        language (str): The language for the summary
        persona (str): The persona to use for the summary

    Returns:
        str: The summarized text
    """

    boto3_bedrock = boto3.client("bedrock-runtime", region_name=MODEL_REGION)

    beginning_word = ""

    persona_data = f"""
     {persona} 
    """
    system = [{ "text" : persona_data}]

    prompt_data = f"""
    {blog_body}
    Describe a new update in  tags in bullet points to describe "What is described", "Who is this update good for" in a way that a new engineer can follow. 
    Description shall be output in  tags and each thinking sentence must start with the bullet point "- " . 
    Make final summary as per  tags. 
    Try to shorten output for easy reading. 
    You are not allowed to utilize any information except in the input. 
    Output format shall be in accordance with  tags.
     {language} 
    The final summary must consist of at least three sentences, including specific use cases in which it is useful.
    Output format is defined in  tags.
    (bullet points of the input)(final summary)
    Follow the instruction.
    """

    messages = [
        {
            "role": "user", 
            "content": [{"text": prompt_data}]
        }
    ]

    inf_params = {
        "maxTokens": 4096,
        "topP": 0.1,
        "temperature": 0.5
    }

    additionalModelRequestFields = {
        "inferenceConfig": {
            "topK": 20
        }
    }

    outputText = "\n"

    try:
        response = boto3_bedrock.converse(
            modelId=MODEL_ID,
            messages=messages,
            system=system,
            inferenceConfig=inf_params,
            additionalModelRequestFields=additionalModelRequestFields
        )
        # response_body = json.loads(response.get("body").read().decode())
        outputText = beginning_word + response['output']['message']['content'][0]['text']
        print(outputText)
        # extract contant inside  tag
        summary = re.findall(r"([\s\S]*?)", outputText)[0]
        detail = re.findall(r"([\s\S]*?)", outputText)[0]
    except ClientError as error:
        if error.response["Error"]["Code"] == "AccessDeniedException":
            print(
                f"\x1b[41m{error.response['Error']['Message']}\
            \nTo troubeshoot this issue please refer to the following resources.\ \nhttps://docs.aws.amazon.com/IAM/latest/UserGuide/troubleshoot_access-denied.html\
            \nhttps://docs.aws.amazon.com/bedrock/latest/userguide/security-iam.html\x1b[0m\n"
            )
        else:
            raise error

    return summary, detail