29 lines
980 B
Text
29 lines
980 B
Text
# Conversation Chain
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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.
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:::info
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Make sure to always get the API key from the provider.
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:::
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## ⛓️ LangFlow Example
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import ThemedImage from '@theme/ThemedImage';
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import useBaseUrl from '@docusaurus/useBaseUrl';
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import ZoomableImage from '/src/theme/ZoomableImage.js';
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<ZoomableImage
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alt="Docusaurus themed image"
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sources={{
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light: 'img/basic-chat.png',
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}}
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/>
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#### <a target="\_blank" href="json_files/Basic_Chat.json" download>Download Flow</a>
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:::note LangChain Components 🦜🔗
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- [`ConversationChain`](https://python.langchain.com/docs/modules/chains/)
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- [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai)
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:::
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