@@ -29,20 +29,25 @@ Learn about ConvoStack and what sets it apart from other AI chatbot software:
2929
3030## Getting Started
3131
32- Get your AI chatbot up and running in minutes with our [ quickstart repo and guide] ( https://github.com/ConvoStack/quickstart ) :
32+ Get your AI chatbot up and running in minutes with our [ Quickstart repo and guide] ( https://github.com/ConvoStack/quickstart ) :
3333
3434In the following example, we are connecting a Langchain OpenAI [ LLM] ( https://js.langchain.com/docs/modules/models/llms/ ) to the chatbot playground.
3535
3636``` typescript
37+ import * as dotenv from " dotenv"
38+ // Configures the OpenAI API key
39+ dotenv .config ();
40+ 3741import { playground } from " convostack/playground"
42+ import { IAgentContext , IAgentResponse } from " convostack/agent"
3843import { OpenAI } from " langchain/llms/openai"
3944
4045playground ({
41- reply(context : IAgentContext ): Promise <IAgentResponse > {
46+ async reply(context : IAgentContext ): Promise <IAgentResponse > {
4247 // `humanMessage` is the content of each message the user sends via the chatbot playground.
4348 let humanMessage = context .getHumanMessage ().content ;
4449 // `agent` is the OpenAI agent we want to use to respond to each `humanMessage`
45- const = new OpenAI ();
50+ const = new OpenAI ({ modelName: " gpt-3.5-turbo " } );
4651 // `call` is a simple string-in, string-out method for interacting with the OpenAI agent.
4752 const = await model .call (humanMessage );
4853 // `resp` is the generated agent's response to the user's `humanMessage`
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