Source code for tooluniverse.tools.ToolDescriptionOptimizer
"""
ToolDescriptionOptimizer
Optimizes a tool's description and parameter descriptions by generating test cases, executing the...
"""
from typing import Any, Optional, Callable
from ._shared_client import get_shared_client
[docs]
def ToolDescriptionOptimizer(
tool_config: dict[str, Any],
save_to_file: bool,
output_file: str,
max_iterations: int,
satisfaction_threshold: float,
*,
stream_callback: Optional[Callable[[str], None]] = None,
use_cache: bool = False,
validate: bool = True,
) -> Any:
"""
Optimizes a tool's description and parameter descriptions by generating test cases, executing the...
Parameters
----------
tool_config : dict[str, Any]
The full configuration of the tool to optimize.
save_to_file : bool
If true, save the optimized description to a file (do not overwrite the origi...
output_file : str
Optional file path to save the optimized description. If not provided, use '<...
max_iterations : int
Maximum number of optimization rounds to perform.
satisfaction_threshold : float
Quality score threshold (1-10) to consider optimization satisfactory.
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": "ToolDescriptionOptimizer",
"arguments": {
"tool_config": tool_config,
"save_to_file": save_to_file,
"output_file": output_file,
"max_iterations": max_iterations,
"satisfaction_threshold": satisfaction_threshold,
},
},
stream_callback=stream_callback,
use_cache=use_cache,
validate=validate,
)
__all__ = ["ToolDescriptionOptimizer"]