ConvoStack 💬⭐

Key Features

ConvoStack is a plug-and-play embeddable AI chatbot widget and backend deployment framework for your website. It is completely free and open source and currently running on our docs website!

The core technologies are:

• React (frontend)
• Express.js (backend)
• Redis (Production cache & pub/sub)
• Langchain (AI agent framework integration)

To learn more about the project, compatible technologies, and how to get started, check out the docs.

Try it out

To see a live demo of ConvoStack, check out our free playground!

Getting Started

Get your AI chatbot up and running in minutes with our Quickstart repo and guide:

In the following example, we are connecting a Langchain OpenAI LLM to the chatbot playground.

import * as dotenv from "dotenv";
// Configures the OpenAI API key
dotenv.config();

import { playground } from "convostack/playground";
import { IAgentContext, IAgentResponse } from "convostack/agent";
import { OpenAI } from "langchain/llms/openai";

playground({
  async reply(context: IAgentContext): Promise<IAgentResponse> {
    // `humanMessage` is the content of each message the user sends via the chatbot playground.
    let humanMessage = context.getHumanMessage().content;
    // `agent` is the OpenAI agent we want to use to respond to each `humanMessage`
    const agent = new OpenAI({ modelName: "gpt-3.5-turbo" });
    // `call` is a simple string-in, string-out method for interacting with the OpenAI agent.
    const resp = await model.call(humanMessage);
    // `resp` is the generated agent's response to the user's `humanMessage`
    return {
      content: resp,
      contentType: "markdown",
    };
  },
});

See the code above in action:

Follow our quickstart guide for more Langchain + ConvoStack examples.

Installation

To add the ConvoStack framework to an existing project, run the following command:

npm install --save convostack

Architecture

Documentation

To see the full documentation check out our docs site at docs.convostack.ai.