mirror of
https://github.com/hwchase17/langchain
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32c5be8b73
## Summary This PR implements the "Connery Action Tool" and "Connery Toolkit". Using them, you can integrate Connery actions into your LangChain agents and chains. Connery is an open-source plugin infrastructure for AI. With Connery, you can easily create a custom plugin with a set of actions and seamlessly integrate them into your LangChain agents and chains. Connery will handle the rest: runtime, authorization, secret management, access management, audit logs, and other vital features. Additionally, Connery and our community offer a wide range of ready-to-use open-source plugins for your convenience. Learn more about Connery: - GitHub: https://github.com/connery-io/connery-platform - Documentation: https://docs.connery.io - Twitter: https://twitter.com/connery_io ## TODOs - [x] API wrapper - [x] Integration tests - [x] Connery Action Tool - [x] Docs - [x] Example - [x] Integration tests - [x] Connery Toolkit - [x] Docs - [x] Example - [x] Formatting (`make format`) - [x] Linting (`make lint`) - [x] Testing (`make test`)
166 lines
5.6 KiB
Python
166 lines
5.6 KiB
Python
import json
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from typing import Dict, List, Optional
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import requests
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from langchain_core.pydantic_v1 import BaseModel, root_validator
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from langchain_core.utils.env import get_from_dict_or_env
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from langchain_community.tools.connery.models import Action
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from langchain_community.tools.connery.tool import ConneryAction
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class ConneryService(BaseModel):
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"""
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A service for interacting with the Connery Runner API.
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It gets the list of available actions from the Connery Runner,
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wraps them in ConneryAction Tools and returns them to the user.
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It also provides a method for running the actions.
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"""
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runner_url: Optional[str] = None
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api_key: Optional[str] = None
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@root_validator()
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def validate_attributes(cls, values: Dict) -> Dict:
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"""
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Validate the attributes of the ConneryService class.
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Parameters:
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values (dict): The arguments to validate.
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Returns:
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dict: The validated arguments.
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"""
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runner_url = get_from_dict_or_env(values, "runner_url", "CONNERY_RUNNER_URL")
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api_key = get_from_dict_or_env(values, "api_key", "CONNERY_RUNNER_API_KEY")
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if not runner_url:
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raise ValueError("CONNERY_RUNNER_URL environment variable must be set.")
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if not api_key:
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raise ValueError("CONNERY_RUNNER_API_KEY environment variable must be set.")
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values["runner_url"] = runner_url
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values["api_key"] = api_key
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return values
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def list_actions(self) -> List[ConneryAction]:
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"""
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Returns the list of actions available in the Connery Runner.
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Returns:
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List[ConneryAction]: The list of actions available in the Connery Runner.
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"""
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return [
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ConneryAction.create_instance(action, self)
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for action in self._list_actions()
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]
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def get_action(self, action_id: str) -> ConneryAction:
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"""
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Returns the specified action available in the Connery Runner.
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Parameters:
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action_id (str): The ID of the action to return.
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Returns:
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ConneryAction: The action with the specified ID.
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"""
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return ConneryAction.create_instance(self._get_action(action_id), self)
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def run_action(self, action_id: str, input: Dict[str, str] = {}) -> Dict[str, str]:
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"""
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Runs the specified Connery Action with the provided input.
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Parameters:
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action_id (str): The ID of the action to run.
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input (Dict[str, str]): The input object expected by the action.
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Returns:
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Dict[str, str]: The output of the action.
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"""
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return self._run_action(action_id, input)
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def _list_actions(self) -> List[Action]:
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"""
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Returns the list of actions available in the Connery Runner.
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Returns:
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List[Action]: The list of actions available in the Connery Runner.
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"""
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response = requests.get(
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f"{self.runner_url}/v1/actions", headers=self._get_headers()
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)
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if not response.ok:
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raise ValueError(
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(
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"Failed to list actions."
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f"Status code: {response.status_code}."
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f"Error message: {response.json()['error']['message']}"
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)
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)
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return [Action(**action) for action in response.json()["data"]]
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def _get_action(self, action_id: str) -> Action:
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"""
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Returns the specified action available in the Connery Runner.
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Parameters:
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action_id (str): The ID of the action to return.
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Returns:
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Action: The action with the specified ID.
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"""
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actions = self._list_actions()
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action = next((action for action in actions if action.id == action_id), None)
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if not action:
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raise ValueError(
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(
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f"The action with ID {action_id} was not found in the list"
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"of available actions in the Connery Runner."
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)
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)
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return action
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def _run_action(self, action_id: str, input: Dict[str, str] = {}) -> Dict[str, str]:
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"""
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Runs the specified Connery Action with the provided input.
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Parameters:
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action_id (str): The ID of the action to run.
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prompt (str): This is a plain English prompt
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with all the information needed to run the action.
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input (Dict[str, str]): The input object expected by the action.
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If provided together with the prompt,
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the input takes precedence over the input specified in the prompt.
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Returns:
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Dict[str, str]: The output of the action.
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"""
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response = requests.post(
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f"{self.runner_url}/v1/actions/{action_id}/run",
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headers=self._get_headers(),
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data=json.dumps({"input": input}),
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)
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if not response.ok:
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raise ValueError(
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(
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"Failed to run action."
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f"Status code: {response.status_code}."
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f"Error message: {response.json()['error']['message']}"
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)
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)
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if not response.json()["data"]["output"]:
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return {}
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else:
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return response.json()["data"]["output"]
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def _get_headers(self) -> Dict[str, str]:
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"""
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Returns a standard set of HTTP headers
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to be used in API calls to the Connery runner.
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Returns:
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Dict[str, str]: The standard set of HTTP headers.
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"""
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return {"Content-Type": "application/json", "x-api-key": self.api_key or ""}
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