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 __future__ import annotations
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from google.genai import types
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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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try:
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from crewai.tools import BaseTool as CrewaiBaseTool
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except ImportError as e:
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import sys
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if sys.version_info < (3, 10):
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raise ImportError(
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"Crewai Tools require Python 3.10+. Please upgrade your Python version."
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) from e
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else:
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raise ImportError(
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"Crewai Tools require pip install 'google-adk[extensions]'."
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) from e
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class CrewaiTool(FunctionTool):
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"""Use this class to wrap a CrewAI 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: CrewaiBaseTool
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"""The wrapped CrewAI tool."""
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def __init__(self, tool: CrewaiBaseTool, *, name: str, description: str):
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super().__init__(tool.run)
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self.tool = tool
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if name:
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self.name = name
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elif tool.name:
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# Right now, CrewAI tool name contains white spaces. White spaces are
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# not supported in our framework. So we replace them with "_".
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self.name = tool.name.replace(" ", "_").lower()
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if description:
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self.description = description
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elif tool.description:
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self.description = tool.description
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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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function_declaration = _automatic_function_calling_util.build_function_declaration_for_params_for_crewai(
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False,
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self.name,
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self.description,
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self.func,
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self.tool.args_schema.model_json_schema(),
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)
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return function_declaration
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