Redundant exception handling in `generate_json` method causing potential code maintenance issues.

[tawada]

After reviewing the provided code, one issue stands out:

Issue: Redundant Exception Raising in generate_json Method

Description:

In the generate_json method within services/llm/__init__.py, exceptions are already being logged using the log function. However, redundant exception handling exists with a commented-out except clause that contains an incomplete comment. This redundant error handling could lead to unclear and difficult-to-maintain code, as well as potential bugs if not properly managed.

Specific Code Snippet:

@llm_exceptions.retry_handler(3)
def generate_json(
    messages: List[Dict[str, str]],
    openai_client: openai.OpenAI,
) -> dict[str, str]:
    """Generates json using the OpenAI API.

    Args:
        messages (List[Dict[str, str]]): A list of message dictionaries to send to the API.
        openai_client (openai.OpenAI): An OpenAI client.
        retry (int, optional): The number of times to retry the request. Defaults to 0.

    Returns:
        Union[str, None]: The generated json, or None if an error occurs.

    Raises:
        ValueError: If the retry argument is negative.
        RuntimeError: If the request fails after multiple retries.
    """
    log(f"Generating json with model: {MODEL_NAME}", level="info")
    try:
        generated_json = generate_and_parse_json(
            messages,
            openai_client,
        )
        log(
            f"Text generated successfully: {json.dumps(generated_json)[:50]}...",
            level="info",
        )
        return generated_json
    except RuntimeError as err:
        log(
            f"Failed to generate json: {err}: ",
            level="error",
        )
        raise llm_exceptions.UnknownLLMException(
            f"An unknown error occurred while generating the response {err}"
        ) from err

Suggested Fix:

Remove the commented-out except clause or handle exceptions more concisely and clearly to improve the code’s maintainability and readability.

Revised Code:

@llm_exceptions.retry_handler(3)
def generate_json(
    messages: List[Dict[str, str]],
    openai_client: openai.OpenAI,
) -> dict[str, str]:
    """Generates json using the OpenAI API.

    Args:
        messages (List[Dict[str, str]]): A list of message dictionaries to send to the API.
        openai_client (openai.OpenAI): An OpenAI client.
        retry (int, optional): The number of times to retry the request. Defaults to 0.

    Returns:
        Union[str, None]: The generated json, or None if an error occurs.

    Raises:
        ValueError: If the retry argument is negative.
        RuntimeError: If the request fails after multiple retries.
    """
    log(f"Generating json with model: {MODEL_NAME}", level="info")
    try:
        generated_json = generate_and_parse_json(
            messages,
            openai_client,
        )
        log(
            f"Text generated successfully: {json.dumps(generated_json)[:50]}...",
            level="info",
        )
        return generated_json
    except RuntimeError as err:
        log(
            f"Failed to generate json: {err}: ",
            level="error",
        )
        raise llm_exceptions.UnknownLLMException(
            f"An unknown error occurred while generating the response {err}"
        ) from err

This change makes the exception handling concise and avoids confusion for future developers looking at this part of the code.