Can we support ChatPromptTemplate for function import_semantic_plugin_from_directory()?

[HuskyDanny]

The function below can only register function with promptTemplate, can we extend this to register function with ChatPromptTemplate ? I need some skills to have a history of messages, and want to govern them at the same place in the same way.

def import_semantic_plugin_from_directory(
    self, parent_directory: str, plugin_directory_name: str
) -> Dict[str, SKFunctionBase]:
    CONFIG_FILE = "config.json"
    PROMPT_FILE = "skprompt.txt"

    validate_plugin_name(plugin_directory_name)

    plugin_directory = os.path.join(parent_directory, plugin_directory_name)
    plugin_directory = os.path.abspath(plugin_directory)

    if not os.path.exists(plugin_directory):
        raise ValueError(f"Plugin directory does not exist: {plugin_directory_name}")

    plugin = {}

    directories = glob.glob(plugin_directory + "/*/")
    for directory in directories:
        dir_name = os.path.dirname(directory)
        function_name = os.path.basename(dir_name)
        prompt_path = os.path.join(directory, PROMPT_FILE)

        # Continue only if the prompt template exists
        if not os.path.exists(prompt_path):
            continue

        config_path = os.path.join(directory, CONFIG_FILE)
        with open(config_path, "r") as config_file:
            config = PromptTemplateConfig.from_json(config_file.read())

        # Load Prompt Template
        with open(prompt_path, "r") as prompt_file:
            template = PromptTemplate(prompt_file.read(), self.prompt_template_engine, config)

        # Prepare lambda wrapping AI logic
        function_config = SemanticFunctionConfig(config, template)

        plugin[function_name] = self.register_semantic_function(
            plugin_directory_name, function_name, function_config
        )

    return plugin