fix: XF stt model

[shaohuzhang1]

fix: XF stt model

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[shaohuzhang1]

The provided code snippet appears to be a method for creating an instance of a model based on certain parameters and keyword arguments. However, there are a few areas where the code can be improved:

1. Type Hinting: Ensure that type hints are complete and accurate. The Dict[str, object] is not very descriptive. It would be better if you could specify more concrete types for the keys and values.

2. Optional Parameters: Make sure all optional parameters (api_base, api_key) have default values defined. This will prevent errors when calling the function without specifying these parameters unless required.

3. Suggestion for Adding Params Keyword Argument: If you intended to include additional configuration options for the model instantiation, consider adding a specific parameter name (e.g., config) instead of using an arbitrary key model_kwargs. This makes it clearer what kind of data is expected here.

Here's a revised version of the code with these suggestions incorporated:

def new_instance(
    model_type: str,
    model_name: str,
    model_credential: Dict[str, Any],
    api_base: Optional[str] = None,  # Added default value
    api_key: Optional[str] = None,  # Added default value
    config: Optional[Dict[str, Any]] = None,  # Suggested new parameter
    **optional_params,
):

Explanation:

• Type Hints: Updated type hinting to use str for model_type and model_name and Dict[str, Any] for model_credential and other dictionaries.
• Default Values: Provided default values for api_base and api_key.
• Additional Parameter: Introduced a new parameter config to handle potential additional configuration settings.
  This revision aims to enhance clarity, maintainability, and future-proofing the function by ensuring type consistency and providing clear usage guidelines through default parameters.