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.
To see a live demo of ConvoStack, check out our free playground!
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: ConvoStack Quickstart Example 1
Follow our quickstart guide for more Langchain + ConvoStack examples.
To add the ConvoStack framework to an existing project, run the following command:
npm install --save convostack
To see the full documentation check out our docs site at docs.convostack.ai.