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Plug and play embeddable AI chatbot widget and backend deployment framework
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ConvoStack/convostack
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ConvoStack is a plug-and-play embeddable AI chatbot widget and backend deployment framework for your website.It iscompletely free and open source and currently running on ourdocs 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 outthedocs.
To see a live demo of ConvoStack, check out our freeplayground!
Get your AI chatbot up and running in minutes with ourQuickstart repo and guide:
In the following example, we are connecting a Langchain OpenAILLM to the chatbot playground.
import*asdotenvfrom"dotenv";// Configures the OpenAI API keydotenv.config();import{playground}from"convostack/playground";import{IAgentContext,IAgentResponse}from"convostack/agent";import{OpenAI}from"langchain/llms/openai";playground({asyncreply(context:IAgentContext):Promise<IAgentResponse>{// `humanMessage` is the content of each message the user sends via the chatbot playground.lethumanMessage=context.getHumanMessage().content;// `agent` is the OpenAI agent we want to use to respond to each `humanMessage`constagent=newOpenAI({modelName:"gpt-3.5-turbo"});// `call` is a simple string-in, string-out method for interacting with the OpenAI agent.constresp=awaitmodel.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 ourquickstart 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 atdocs.convostack.ai.
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Plug and play embeddable AI chatbot widget and backend deployment framework
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