"""
ToolImplementationGenerator

Generates domain-specific, functional code implementations based on tool descriptions and require...
"""

from typing import Any, Optional, Callable
from ._shared_client import get_shared_client


def ToolImplementationGenerator(
    tool_description: str,
    tool_parameters: str,
    domain: Optional[str] = "general",
    complexity_level: Optional[str] = "intermediate",
    performance_requirements: Optional[str] = None,
    *,
    stream_callback: Optional[Callable[[str], None]] = None,
    use_cache: bool = False,
    validate: bool = True,
) -> Any:
    """
    Generates domain-specific, functional code implementations based on tool descriptions and require...

    Parameters
    ----------
    tool_description : str
        Detailed description of what the tool should accomplish
    tool_parameters : str
        JSON string of parameter schema for the tool
    domain : str
        Domain area for specialized implementation
    complexity_level : str
        Desired complexity level of implementation
    performance_requirements : str
        Performance requirements or constraints
    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": "ToolImplementationGenerator",
            "arguments": {
                "tool_description": tool_description,
                "tool_parameters": tool_parameters,
                "domain": domain,
                "complexity_level": complexity_level,
                "performance_requirements": performance_requirements,
            },
        },
        stream_callback=stream_callback,
        use_cache=use_cache,
        validate=validate,
    )


__all__ = ["ToolImplementationGenerator"]
