Connery Toolkit

Using this toolkit, you can integrate Connery Actions into your LangChain agent.

note

If you want to use only one particular Connery Action in your agent, check out the Connery Action Tool documentation.

What is Connery?

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 agent. Connery will take care of critical aspects such as runtime, authorization, secret management, access management, audit logs, and other vital features.

Furthermore, Connery, supported by our community, provides a diverse collection of ready-to-use open-source plugins for added convenience.

Learn more about Connery:

• GitHub: https://github.com/connery-io/connery
• Documentation: https://docs.connery.io

Prerequisites

To use Connery Actions in your LangChain agent, you need to do some preparation:

1. Set up the Connery runner using the Quickstart guide.
2. Install all the plugins with the actions you want to use in your agent.
3. Set environment variables CONNERY_RUNNER_URL and CONNERY_RUNNER_API_KEY so the toolkit can communicate with the Connery Runner.

Example of using Connery Toolkit

Setup

To use the Connery Toolkit you need to install the following official peer dependency:

npm

npm install @langchain/openai @langchain/community

Yarn

yarn add @langchain/openai @langchain/community

pnpm

pnpm add @langchain/openai @langchain/community

tip

See this section for general instructions on installing integration packages.

Usage

In the example below, we create an agent that uses two Connery Actions to summarize a public webpage and send the summary by email:

1. Summarize public webpage action from the Summarization plugin.
2. Send email action from the Gmail plugin.

info

You can see a LangSmith trace of this example here.

import { ConneryService } from "@langchain/community/tools/connery";
import { ConneryToolkit } from "@langchain/community/agents/toolkits/connery";
import { ChatOpenAI } from "@langchain/openai";
import { initializeAgentExecutorWithOptions } from "langchain/agents";

// Specify your Connery Runner credentials.
process.env.CONNERY_RUNNER_URL = "";
process.env.CONNERY_RUNNER_API_KEY = "";

// Specify OpenAI API key.
process.env.OPENAI_API_KEY = "";

// Specify your email address to receive the emails from examples below.
const recepientEmail = "test@example.com";

// Create a Connery Toolkit with all the available actions from the Connery Runner.
const conneryService = new ConneryService();
const conneryToolkit = await ConneryToolkit.createInstance(conneryService);

// Use OpenAI Functions agent to execute the prompt using actions from the Connery Toolkit.
const llm = new ChatOpenAI({ temperature: 0 });
const agent = await initializeAgentExecutorWithOptions(
  conneryToolkit.tools,
  llm,
  {
    agentType: "openai-functions",
    verbose: true,
  }
);
const result = await agent.invoke({
  input:
    `Make a short summary of the webpage http://www.paulgraham.com/vb.html in three sentences ` +
    `and send it to ${recepientEmail}. Include the link to the webpage into the body of the email.`,
});
console.log(result.output);

API Reference:

• ConneryService from @langchain/community/tools/connery
• ConneryToolkit from @langchain/community/agents/toolkits/connery
• ChatOpenAI from @langchain/openai
• initializeAgentExecutorWithOptions from langchain/agents

note

Connery Action is a structured tool, so you can only use it in the agents supporting structured tools.