structure saas with tools
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# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Any
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from typing import Callable
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from google.genai import types
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from pydantic import model_validator
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from typing_extensions import override
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from . import _automatic_function_calling_util
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from .function_tool import FunctionTool
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class LangchainTool(FunctionTool):
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"""Use this class to wrap a langchain tool.
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If the original tool name and description are not suitable, you can override
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them in the constructor.
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"""
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tool: Any
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"""The wrapped langchain tool."""
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def __init__(self, tool: Any):
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super().__init__(tool._run)
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self.tool = tool
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if tool.name:
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self.name = tool.name
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if tool.description:
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self.description = tool.description
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@model_validator(mode='before')
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@classmethod
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def populate_name(cls, data: Any) -> Any:
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# Override this to not use function's signature name as it's
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# mostly "run" or "invoke" for thir-party tools.
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return data
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@override
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def _get_declaration(self) -> types.FunctionDeclaration:
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"""Build the function declaration for the tool."""
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from langchain.agents import Tool
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from langchain_core.tools import BaseTool
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# There are two types of tools:
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# 1. BaseTool: the tool is defined in langchain.tools.
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# 2. Other tools: the tool doesn't inherit any class but follow some
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# conventions, like having a "run" method.
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if isinstance(self.tool, BaseTool):
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tool_wrapper = Tool(
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name=self.name,
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func=self.func,
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description=self.description,
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)
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if self.tool.args_schema:
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tool_wrapper.args_schema = self.tool.args_schema
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function_declaration = _automatic_function_calling_util.build_function_declaration_for_langchain(
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False,
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self.name,
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self.description,
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tool_wrapper.func,
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tool_wrapper.args,
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)
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return function_declaration
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else:
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# Need to provide a way to override the function names and descriptions
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# as the original function names are mostly ".run" and the descriptions
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# may not meet users' needs.
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function_declaration = (
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_automatic_function_calling_util.build_function_declaration(
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func=self.tool.run,
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)
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)
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return function_declaration
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