@@ -29,20 +29,34 @@ 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 guide:
33- 34- - [ Quickstart: ConvoStack Playground (React, Express, TypeScript)] ( https://docs.convostack.ai/getting-started/quickstart-react-express-playground )
35- - Support and 'chat with your docs' agent
36- - Pinecone
37- - OpenAI
38- - Web crawler for loading docs
39- - Langchain
40- - "ChatGPT" agent
41- - OpenAI
42- - Langchain
43- - Bare-bones Conversational QA agent
44- - OpenAI
45- - Langchain
32+ Get your AI chatbot up and running in minutes with our [ quickstart guide] ( https://docs.convostack.ai/getting-started/ ) :
33+ 34+ In the following example, we are connecting a Langchain OpenAI [ LLM] ( https://js.langchain.com/docs/modules/models/llms/ ) to the chatbot playground.
35+ 36+ ``` typescript
37+ import { playground } from " convostack/playground"
38+ import { OpenAI } from " langchain/llms/openai"
39+ 40+ playground ({
41+ reply(context : IAgentContext ): Promise <IAgentResponse > {
42+ // `humanMessage` is the content of each message the user sends via the chatbot playground.
43+ let humanMessage = context .getHumanMessage ().content ;
44+ // `agent` is the OpenAI agent we want to use to respond to each `humanMessage`
45+ const = new OpenAI ();
46+ // `call` is a simple string-in, string-out method for interacting with the OpenAI agent.
47+ const = await model .call (humanMessage );
48+ // `resp` is the generated agent's response to the user's `humanMessage`
49+ return {
50+ content: resp ,
51+ contentType: " markdown"
52+ };
53+ },
54+ });
55+ ```
56+ ** See the code above in action:**
57+ ![ ConvoStack Quickstart Example 1] ( https://github.com/ConvoStack/convostack/assets/8688852/f917120c-f0a7-440a-96b4-982ba2d4fdad )
58+ 59+ Follow our [ quickstart guide] ( https://docs.convostack.ai/getting-started/ ) for more Langchain + ConvoStack examples.
4660
4761## Installation
4862
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