import Admonition from "@theme/Admonition";

# Conversation Chain

This example shows how to instantiate a simple `ConversationChain` component using a Language Model (LLM). Once the Node Status turns green 🟢, the chat will be ready to take in user messages. Here, we used `ChatOpenAI` to act as the required LLM input, but you can use any LLM for this purpose.

<Admonition type="info">

Make sure to always get the API key from the provider.

</Admonition>

## ⛓️ Langflow Example

import ThemedImage from "@theme/ThemedImage";
import useBaseUrl from "@docusaurus/useBaseUrl";
import ZoomableImage from "/src/theme/ZoomableImage.js";

<ZoomableImage
  alt="Docusaurus themed image"
  sources={{
    light: "img/basic-chat.png",
    dark: "img/basic-chat.png",
  }}
/>

#### <a target="\_blank" href="json_files/Basic_Chat.json" download>Download Flow</a>

<Admonition type="note" title="LangChain Components 🦜🔗">

- [`ConversationChain`](https://python.langchain.com/docs/modules/chains/)
- [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai)

</Admonition>