"""
ArgumentDescriptionOptimizer
Optimizes the descriptions of tool arguments/parameters based on test case results and actual usa...
"""
from typing import Any, Optional, Callable
from ._shared_client import get_shared_client
[docs]
def ArgumentDescriptionOptimizer(
parameter_schema: str,
test_results: str,
*,
stream_callback: Optional[Callable[[str], None]] = None,
use_cache: bool = False,
validate: bool = True,
) -> Any:
"""
Optimizes the descriptions of tool arguments/parameters based on test case results and actual usa...
Parameters
----------
parameter_schema : str
JSON string of the original parameter schema with properties and descriptions.
test_results : str
A JSON string containing test case input/output pairs showing parameter usage.
stream_callback : Callable, optional
Callback for streaming output
use_cache : bool, default False
Enable caching
validate : bool, default True
Validate parameters
Returns
-------
Any
"""
# Handle mutable defaults to avoid B006 linting error
return get_shared_client().run_one_function(
{
"name": "ArgumentDescriptionOptimizer",
"arguments": {
"parameter_schema": parameter_schema,
"test_results": test_results,
},
},
stream_callback=stream_callback,
use_cache=use_cache,
validate=validate,
)
__all__ = ["ArgumentDescriptionOptimizer"]
