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`‎README.md‎`

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`1`		`-# ConvoStack`
	`1`	`+<h1style="margin-top: 0px">ConvoStack 💬⭐</h1>`
`2`	`2`
`3`	`3`	`<img width="1439" alt="Screenshot 2023年06月02日 at 2 47 17 AM" src="https://github.com/ConvoStack/convostack/assets/8688852/40fdbf63-4f53-4143-8628-39c934eaaed4">`
`4`	`4`
`5`		`-## What is ConvoStack?`
	`5`	`+## Key Features`
`6`	`6`
`7`		`-ConvoStack is a plugandplay embeddable AI chatbot widget and backend deployment framework for your website. **It is`
	`7`	`+ConvoStack is a plug-and-play embeddable AI chatbot widget and backend deployment framework for your website. **It is`
`8`	`8`	`completely free and open source and currently running on our [docs](https://docs.convostack.ai/) website!**`
`9`	`9`
`10`	`10`	`The core technologies are:`
`@@ -21,28 +21,27 @@ the [docs](https://docs.convostack.ai/).`
`21`	`21`
`22`	`22`	`To see a live demo of ConvoStack, check out our free [playground](https://playground.convostack.ai)!`
`23`	`23`
`24`		`-## Learn the Basics`
`25`		`-`
`26`		`-Learn about ConvoStack and what sets it apart from other AI chatbot software:`
`27`		`-`
`28`		`-- [Why ConvoStack?](https://docs.convostack.ai/the-basics)`
`29`		`-`
`30`	`24`	`## Getting Started`
`31`	`25`
`32`		`-Get your AI chatbot up and running in minutes with our [quickstart guide](https://docs.convostack.ai/getting-started/):`
	`26`	`+Get your AI chatbot up and running in minutes with our [Quickstart repo and guide](https://github.com/ConvoStack/quickstart):`
`33`	`27`
`34`	`28`	`In the following example, we are connecting a Langchain OpenAI [LLM](https://js.langchain.com/docs/modules/models/llms/) to the chatbot playground.`
`35`	`29`
`36`	`30`	```typescript
	`31`	`+import * as dotenv from "dotenv";`
	`32`	`+// Configures the OpenAI API key`
	`33`	`+dotenv.config();`
	`34`	`+`
`37`	`35`	`import { playground } from "convostack/playground";`
	`36`	`+import { IAgentContext, IAgentResponse } from "convostack/agent";`
`38`	`37`	`import { OpenAI } from "langchain/llms/openai";`
`39`	`38`
`40`	`39`	`playground({`
`41`		`- reply(context: IAgentContext): Promise<IAgentResponse> {`
	`40`	`+ asyncreply(context: IAgentContext): Promise<IAgentResponse> {`
`42`	`41`	// `humanMessage` is the content of each message the user sends via the chatbot playground.
`43`	`42`	`let humanMessage = context.getHumanMessage().content;`
`44`	`43`	// `agent` is the OpenAI agent we want to use to respond to each `humanMessage`
`45`		`- const agent = new OpenAI();`
	`44`	`+ const agent = new OpenAI({ modelName: "gpt-3.5-turbo" });`
`46`	`45`	// `call` is a simple string-in, string-out method for interacting with the OpenAI agent.
`47`	`46`	`const resp = await model.call(humanMessage);`
`48`	`47`	// `resp` is the generated agent's response to the user's `humanMessage`

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