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*   Friendli

On this page

Friendli
========

> [Friendli](https://friendli.ai/) enhances AI application performance and optimizes cost savings with scalable, efficient deployment options, tailored for high-demand AI workloads.

This tutorial guides you through integrating `ChatFriendli` for chat applications using LangChain. `ChatFriendli` offers a flexible approach to generating conversational AI responses, supporting both synchronous and asynchronous calls.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

Ensure the `@langchain/community` is installed.

tip

See [this section for general instructions on installing integration packages](/v0.2/docs/how_to/installation#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/community

    yarn add @langchain/community

    pnpm add @langchain/community

Sign in to [Friendli Suite](https://suite.friendli.ai/) to create a Personal Access Token, and set it as the `FRIENDLI_TOKEN` environment. You can set team id as `FRIENDLI_TEAM` environment.

You can initialize a Friendli chat model with selecting the model you want to use. The default model is `llama-2-13b-chat`. You can check the available models at [docs.friendli.ai](https://docs.friendli.ai/guides/serverless_endpoints/pricing#text-generation-models).

Usage[​](#usage "Direct link to Usage")
---------------------------------------

    import { ChatFriendli } from "@langchain/community/chat_models/friendli";const model = new ChatFriendli({  model: "llama-2-13b-chat", // Default value  friendliToken: process.env.FRIENDLI_TOKEN,  friendliTeam: process.env.FRIENDLI_TEAM,  maxTokens: 800,  temperature: 0.9,  topP: 0.9,  frequencyPenalty: 0,  stop: [],});const response = await model.invoke(  "Draft a cover letter for a role in software engineering.");console.log(response.content);/*Dear [Hiring Manager],I am excited to apply for the role of Software Engineer at [Company Name]. With my passion for innovation, creativity, and problem-solving, I am confident that I would be a valuable asset to your team.As a highly motivated and detail-oriented individual, ...*/const stream = await model.stream(  "Draft a cover letter for a role in software engineering.");for await (const chunk of stream) {  console.log(chunk.content);}/*Dear [Hiring...[Your Name]*/

#### API Reference:

*   [ChatFriendli](https://v02.api.js.langchain.com/classes/langchain_community_chat_models_friendli.ChatFriendli.html) from `@langchain/community/chat_models/friendli`

* * *

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