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https://github.com/EvolutionAPI/adk-python.git
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Agent Development Kit(ADK)
An easy-to-use and powerful framework to build AI agents.
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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 Dict, List, Optional
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import yaml
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from ...auth.auth_credential import AuthCredential
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from ...auth.auth_schemes import AuthScheme
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from ..openapi_tool.common.common import to_snake_case
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from ..openapi_tool.openapi_spec_parser.openapi_toolset import OpenAPIToolset
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from ..openapi_tool.openapi_spec_parser.rest_api_tool import RestApiTool
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from .clients.apihub_client import APIHubClient
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class APIHubToolset:
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"""APIHubTool generates tools from a given API Hub resource.
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Examples:
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```
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apihub_toolset = APIHubToolset(
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apihub_resource_name="projects/test-project/locations/us-central1/apis/test-api",
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service_account_json="...",
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)
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# Get all available tools
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agent = LlmAgent(tools=apihub_toolset.get_tools())
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# Get a specific tool
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agent = LlmAgent(tools=[
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...
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apihub_toolset.get_tool('my_tool'),
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])
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```
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**apihub_resource_name** is the resource name from API Hub. It must include
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API name, and can optionally include API version and spec name.
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- If apihub_resource_name includes a spec resource name, the content of that
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spec will be used for generating the tools.
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- If apihub_resource_name includes only an api or a version name, the
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first spec of the first version of that API will be used.
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"""
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def __init__(
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self,
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*,
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# Parameters for fetching API Hub resource
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apihub_resource_name: str,
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access_token: Optional[str] = None,
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service_account_json: Optional[str] = None,
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# Parameters for the toolset itself
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name: str = '',
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description: str = '',
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# Parameters for generating tools
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lazy_load_spec=False,
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auth_scheme: Optional[AuthScheme] = None,
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auth_credential: Optional[AuthCredential] = None,
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# Optionally, you can provide a custom API Hub client
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apihub_client: Optional[APIHubClient] = None,
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):
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"""Initializes the APIHubTool with the given parameters.
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Examples:
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```
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apihub_toolset = APIHubToolset(
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apihub_resource_name="projects/test-project/locations/us-central1/apis/test-api",
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service_account_json="...",
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)
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# Get all available tools
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agent = LlmAgent(tools=apihub_toolset.get_tools())
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# Get a specific tool
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agent = LlmAgent(tools=[
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...
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apihub_toolset.get_tool('my_tool'),
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])
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```
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**apihub_resource_name** is the resource name from API Hub. It must include
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API name, and can optionally include API version and spec name.
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- If apihub_resource_name includes a spec resource name, the content of that
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spec will be used for generating the tools.
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- If apihub_resource_name includes only an api or a version name, the
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first spec of the first version of that API will be used.
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Example:
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* projects/xxx/locations/us-central1/apis/apiname/...
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* https://console.cloud.google.com/apigee/api-hub/apis/apiname?project=xxx
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Args:
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apihub_resource_name: The resource name of the API in API Hub.
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Example: `projects/test-project/locations/us-central1/apis/test-api`.
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access_token: Google Access token. Generate with gcloud cli `gcloud auth
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auth print-access-token`. Used for fetching API Specs from API Hub.
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service_account_json: The service account config as a json string.
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Required if not using default service credential. It is used for
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creating the API Hub client and fetching the API Specs from API Hub.
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apihub_client: Optional custom API Hub client.
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name: Name of the toolset. Optional.
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description: Description of the toolset. Optional.
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auth_scheme: Auth scheme that applies to all the tool in the toolset.
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auth_credential: Auth credential that applies to all the tool in the
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toolset.
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lazy_load_spec: If True, the spec will be loaded lazily when needed.
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Otherwise, the spec will be loaded immediately and the tools will be
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generated during initialization.
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"""
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self.name = name
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self.description = description
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self.apihub_resource_name = apihub_resource_name
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self.lazy_load_spec = lazy_load_spec
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self.apihub_client = apihub_client or APIHubClient(
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access_token=access_token,
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service_account_json=service_account_json,
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)
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self.generated_tools: Dict[str, RestApiTool] = {}
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self.auth_scheme = auth_scheme
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self.auth_credential = auth_credential
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if not self.lazy_load_spec:
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self._prepare_tools()
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def get_tool(self, name: str) -> Optional[RestApiTool]:
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"""Retrieves a specific tool by its name.
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Example:
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```
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apihub_tool = apihub_toolset.get_tool('my_tool')
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```
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Args:
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name: The name of the tool to retrieve.
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Returns:
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The tool with the given name, or None if no such tool exists.
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"""
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if not self._are_tools_ready():
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self._prepare_tools()
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return self.generated_tools[name] if name in self.generated_tools else None
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def get_tools(self) -> List[RestApiTool]:
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"""Retrieves all available tools.
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Returns:
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A list of all available RestApiTool objects.
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"""
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if not self._are_tools_ready():
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self._prepare_tools()
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return list(self.generated_tools.values())
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def _are_tools_ready(self) -> bool:
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return not self.lazy_load_spec or self.generated_tools
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def _prepare_tools(self) -> str:
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"""Fetches the spec from API Hub and generates the tools.
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Returns:
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True if the tools are ready, False otherwise.
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"""
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# For each API, get the first version and the first spec of that version.
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spec = self.apihub_client.get_spec_content(self.apihub_resource_name)
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self.generated_tools: Dict[str, RestApiTool] = {}
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tools = self._parse_spec_to_tools(spec)
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for tool in tools:
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self.generated_tools[tool.name] = tool
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def _parse_spec_to_tools(self, spec_str: str) -> List[RestApiTool]:
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"""Parses the spec string to a list of RestApiTool.
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Args:
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spec_str: The spec string to parse.
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Returns:
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A list of RestApiTool objects.
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"""
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spec_dict = yaml.safe_load(spec_str)
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if not spec_dict:
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return []
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self.name = self.name or to_snake_case(
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spec_dict.get('info', {}).get('title', 'unnamed')
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)
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self.description = self.description or spec_dict.get('info', {}).get(
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'description', ''
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)
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tools = OpenAPIToolset(
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spec_dict=spec_dict,
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auth_credential=self.auth_credential,
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auth_scheme=self.auth_scheme,
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).get_tools()
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return tools
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