Restore 0.1.5 version from stash

wolai-backend/.venv312/Lib/site-packages/openai/lib/_tools.py

@@ -0,0 +1,54 @@
+from __future__ import annotations
+
+from typing import Any, Dict, cast
+
+import pydantic
+
+from ._pydantic import to_strict_json_schema
+from ..types.chat import ChatCompletionToolParam
+from ..types.shared_params import FunctionDefinition
+
+
+class PydanticFunctionTool(Dict[str, Any]):
+    """Dictionary wrapper so we can pass the given base model
+    throughout the entire request stack without having to special
+    case it.
+    """
+
+    model: type[pydantic.BaseModel]
+
+    def __init__(self, defn: FunctionDefinition, model: type[pydantic.BaseModel]) -> None:
+        super().__init__(defn)
+        self.model = model
+
+    def cast(self) -> FunctionDefinition:
+        return cast(FunctionDefinition, self)
+
+
+def pydantic_function_tool(
+    model: type[pydantic.BaseModel],
+    *,
+    name: str | None = None,  # inferred from class name by default
+    description: str | None = None,  # inferred from class docstring by default
+) -> ChatCompletionToolParam:
+    if description is None:
+        # note: we intentionally don't use `.getdoc()` to avoid
+        # including pydantic's docstrings
+        description = model.__doc__
+
+    function = PydanticFunctionTool(
+        {
+            "name": name or model.__name__,
+            "strict": True,
+            "parameters": to_strict_json_schema(model),
+        },
+        model,
+    ).cast()
+
+    if description is not None:
+        function["description"] = description
+
+    return {
+        "type": "function",
+        "function": function,
+    }