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HyFI: Hydra Fast Interface (Hydra and Pydantic based interface framework)

Home Page: https://hyfi.entelecheia.ai/

License: MIT License

Python 94.87% Makefile 0.71% Jupyter Notebook 4.33% Shell 0.09%
hydra pydantic hyfi pydantic-v2

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hyfi's Issues

LLM Agent feature

Support LLM agents to generate codes for HyFI usage.
Use LLM to explain usage of HyFI

Support for importing plugins recursively from a plugin.

hyfi/src/hyfi/core/core.py

Lines 187 to 208 in 16e1fe8

def init_plugins(self, plugins: List[str]) -> Dict[str, List[str]]:
"""Returns the list of plugins to load.
A plugin is a python module which contains a configuration module.
Args:
plugins: List[str]: A list of plugins to load.
Returns:
Dict[str, List[str]]: A dictionary of plugins to load. ex) plugins = {'__package_name__': ['plugin1.conf', 'plugin2.conf']}
"""
caller_pkg_name = PKGs.get_next_level_caller_package_name()
_plugins = []
for plugin in plugins:
plugin = plugin.split(".")[0]
if PKGs.is_importable(plugin):
logger.debug("Plugin %s is importable.", plugin)
config_module = f"{plugin}.{self.__config_dirname__}"
else:
logger.debug("Plugin %s is not importable.", plugin)
_plugins.append(config_module)
return {caller_pkg_name: _plugins}

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