@skeet-framework/ai

Skeet Framework Plugin - AI

Skeet AI Plugin for Multile Chat Models.

Build generative AI apps quickly and responsibly with Model API, a simple, secure, and multiple AI models are available.

This plugin wraps the following AI models.

• Vertex AI(Google Cloud)
• Open AI(ChatGPT)

Fast and easy to deploy with Skeet Framework.

🧪 Dependency 🧪

• TypeScript ^5.0.0
• Node.js ^18.16.0
• Yarn ^1.22.19
• Google Cloud SDK ^430.0.0

Installation

$ yarn add @skeet-framework/ai

with Skeet Framework CLI

$ skeet yarn add -p @skeet-framework/ai

Initial Setup - Vertex AI (Google Cloud)

Enable API and Permissions on GCP.

if you havent installed Skeet CLI, install it.

$ gcloud auth application-default
$ npm i -g @skeet-framework/cli

and run skeet iam ai command.

$ skeet iam ai
? What's your GCP Project ID your-project-id
? Select Regions to deploy asia-east1
✔ Successfully created ./skeet-cloud.config.json 🎉
🚸 === Copy & Paste below command to your terminal === 🚸

export GCLOUD_PROJECT=your-project-id
export FIREBASE_CONFIG='{ "locationId": "us-central1" }'

🚸 =========           END           ========= 🚸

And set environment variables following the console's output.

Note: If you deploy to Firebase Functions in a production environment, both the GCLOUD_PROJECT and FIREBASE_CONFIG environment variables will be automatically set.

Vertex AI

Example app.ts

import { vertexAi, VertexPromptParams } from '@skeet-framework/ai'

const run = async () => {
  const prompt: VertexPromptParams = {
    context:
      'You are a developer who is knowledgeable about the Skeet framework, a framework for building web applications.',
    examples: [
      {
        input: {
          content:
            'What is the Skeet framework and what benefits does it offer for app development?',
        },
        output: {
          content:
            'The Skeet framework is an open-source full-stack app development solution that aims to lower the development and operation cost of applications. It allows developers to focus more on the application logic and worry less about infrastructure. The framework can be assembled with a combination of SQL and NoSQL.',
        },
      },
    ],
    messages: [
      {
        author: 'user',
        content: 'Tell me about the Skeet framework.',
      },
    ],
  }

  const response = await vertexAi(prompt)
  console.log(response)
}

run()

Run

$ npx ts-node app.ts

Vertex AI - Japanese (日本語)

以下のように isJapanese オプションを true にすることで、 日本語をサポートしています。

const options = {
  isJapanese: true,
}
const response = await vertexAi(prompt, options)

デフォルトのモデルは chat-bison@001 を使用していますが、 このモデルは日本語をサポートしていないため、 内部では Google 翻訳API を使用して、日本語を英語に変換してから、 英語のモデルを使用しています。

Example app.ts

import { VertexAiOptions, VertexPromptParams } from '../types/vertexaiTypes'
import { vertexAi } from './vertexAi'

const run = async () => {
  const prompt: VertexPromptParams = {
    context:
      'あなたは、Web アプリケーションを構築するためのフレームワークである Skeet フレームワークに精通している開発者です。',
    examples: [
      {
        input: {
          content:
            'Skeet フレームワークとは何ですか?また、それがアプリ開発にどのようなメリットをもたらしますか?',
        },
        output: {
          content:
            'Skeet フレームワークは、アプリケーションの開発および運用コストを削減することを目的とした、オープンソースのフルスタック アプリケーション開発ソリューションです。これにより、開発者はインフラストラクチャについて心配する必要がなくなり、アプリケーション ロジックに集中できるようになります。このフレームワークは、SQL と NoSQL を組み合わせて構築できます。',
        },
      },
    ],
    messages: [
      {
        author: 'user',
        content: 'Skeet フレームワークについて教えてください。',
      },
    ],
  }

  const options: VertexAiOptions = {
    isJapanese: true,
  }

  const response = await vertexAi(prompt, options)
  console.log(response)
}

run()

Run (実行)

$ npx ts-node app.ts

Initial Setup - Open AI (ChatGPT)

Create OpenAI API Key

• https://beta.openai.com/

📕 OpenAI API Document

Usage

OpenAI

set environment variables

$ export CHAT_GPT_ORG=org-id
$ export CHAT_GPT_KEY=your-api-key

Example app.ts

import { openAi, OpenAIPromptParams } from '@skeet-framework/ai'

const run = async () => {
  const prompt: OpenAIPromptParams = {
    messages: [
      {
        role: 'system',
        content:
          'You are a developer who is knowledgeable about the Skeet framework, a framework for building web applications.',
      },
      {
        role: 'user',
        content:
          'What is the Skeet framework and what benefits does it offer for app development?',
      },
      {
        role: 'assistant',
        content:
          'The Skeet framework is an open-source full-stack app development solution that aims to lower the development and operation cost of applications. It allows developers to focus more on the application logic and worry less about infrastructure. The framework can be assembled with a combination of SQL and NoSQL.',
      },
      {
        role: 'user',
        content: 'Tell me about the Skeet framework.',
      },
    ],
  }
  const result = await openAi(prompt)
  console.log(result)
}

run()

Run

$ npx ts-node app.ts

Skeet AI Docs

• Skeet AI TypeDoc

Skeet Framework Document

• https://skeet.dev

Skeet TypeScript Serverless Framework

GraphQL, CloudSQL, Cloud Functions, TypeScript, Jest Test, Google Cloud Load Balancer, Cloud Armor

What's Skeet?

TypeScript Serverless Framework 'Skeet'.

The Skeet project was launched with the goal of reducing software development, operation, and maintenance costs.

Build Serverless Apps faster. Powered by TAI, Cloud Functions, Typesaurus, Jest, Prettier, and Google Cloud.

Dependency

• TypeScript
• Node
• Yarn
• Google SDK
• GitHub CLI

$ npm i -g @skeet-framework/cli
$ skeet create web-app

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/elsoul/skeet This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

License

The package is available as open source under the terms of the Apache-2.0 License.

Code of Conduct

Everyone interacting in the SKEET project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.