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ChatCloudflareWorkersAI

Workers AI allows you to run machine learning models, on the Cloudflare network, from your own code.

Usage​

You'll first need to install the LangChain Cloudflare integration package:

tip

See this section for general instructions on installing integration packages.

npm install @langchain/cloudflare
tip

We're unifying model params across all packages. We now suggest using model instead of modelName, and apiKey for API keys.

import { ChatCloudflareWorkersAI } from "@langchain/cloudflare";

const model = new ChatCloudflareWorkersAI({
  model: "@cf/meta/llama-2-7b-chat-int8", // Default value
  cloudflareAccountId: process.env.CLOUDFLARE_ACCOUNT_ID,
  cloudflareApiToken: process.env.CLOUDFLARE_API_TOKEN,
  // Pass a custom base URL to use Cloudflare AI Gateway
  // baseUrl: `https://gateway.ai.cloudflare.com/v1/{YOUR_ACCOUNT_ID}/{GATEWAY_NAME}/workers-ai/`,
});

const response = await model.invoke([
  ["system", "You are a helpful assistant that translates English to German."],
  ["human", `Translate "I love programming".`],
]);

console.log(response);

/*
AIMessage {
  content: `Sure! Here's the translation of "I love programming" into German:\n` +
    '\n' +
    '"Ich liebe Programmieren."\n' +
    '\n' +
    'In this sentence, "Ich" means "I," "liebe" means "love," and "Programmieren" means "programming."',
  additional_kwargs: {}
}
*/

const stream = await model.stream([
  ["system", "You are a helpful assistant that translates English to German."],
  ["human", `Translate "I love programming".`],
]);

for await (const chunk of stream) {
  console.log(chunk);
}

/*
  AIMessageChunk {
    content: 'S',
    additional_kwargs: {}
  }
  AIMessageChunk {
    content: 'ure',
    additional_kwargs: {}
  }
  AIMessageChunk {
    content: '!',
    additional_kwargs: {}
  }
  AIMessageChunk {
    content: ' Here',
    additional_kwargs: {}
  }
  ...
*/

API Reference:

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