core[patch], community[patch], openai[patch]: consolidate openai tool… (#16485)

… converters

One way to convert anything to an OAI function:
convert_to_openai_function
One way to convert anything to an OAI tool: convert_to_openai_tool
Corresponding bind functions on OAI models: bind_functions, bind_tools

libs/community/langchain_community/tools/convert_to_openai.py

@@ -1,38 +1,6 @@
-from langchain_core.tools import BaseTool
-
-from langchain_community.utils.openai_functions import (
-    FunctionDescription,
-    ToolDescription,
-    convert_pydantic_to_openai_function,
+from langchain_core.utils.function_calling import (
+    format_tool_to_openai_function,
+    format_tool_to_openai_tool,
 )
 
-
-def format_tool_to_openai_function(tool: BaseTool) -> FunctionDescription:
-    """Format tool into the OpenAI function API."""
-    if tool.args_schema:
-        return convert_pydantic_to_openai_function(
-            tool.args_schema, name=tool.name, description=tool.description
-        )
-    else:
-        return {
-            "name": tool.name,
-            "description": tool.description,
-            "parameters": {
-                # This is a hack to get around the fact that some tools
-                # do not expose an args_schema, and expect an argument
-                # which is a string.
-                # And Open AI does not support an array type for the
-                # parameters.
-                "properties": {
-                    "__arg1": {"title": "__arg1", "type": "string"},
-                },
-                "required": ["__arg1"],
-                "type": "object",
-            },
-        }
-
-
-def format_tool_to_openai_tool(tool: BaseTool) -> ToolDescription:
-    """Format tool into the OpenAI function API."""
-    function = format_tool_to_openai_function(tool)
-    return {"type": "function", "function": function}
+__all__ = ["format_tool_to_openai_function", "format_tool_to_openai_tool"]