PaLM API: Panduan Memulai Chat dengan Node.js

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Ringkasan

Panduan memulai ini menunjukkan cara menggunakan PaLM API, yang memberi Anda akses ke Model bahasa besar (LLM) terbaru Google, dengan PaLM Node.js SDK, untuk kasus penggunaan yang berfokus pada dialog, seperti chatbot.

Mendapatkan Kunci API

Untuk memulai, Anda harus mendapatkan kunci API. Tetapkan sebagai variabel lingkungan:

import os
os.environ["API_KEY"] = "<YOUR API KEY>"

Menginstal klien API

Di direktori baru, lakukan inisialisasi proyek Node.js menggunakan npm dan instal Library google-auth:

npm init -y

npm install google-auth-library
Wrote to /content/package.json:

{
  "name": "content",
  "version": "1.0.0",
  "main": "index.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1"
  },
  "keywords": [],
  "author": "",
  "license": "ISC",
  "dependencies": {
    "@google-ai/generativelanguage": "^1.0.1",
    "google-auth-library": "^9.0.0"
  },
  "devDependencies": {},
  "description": ""
}


+ google-auth-library@9.0.0
updated 1 package and audited 74 packages in 0.905s

3 packages are looking for funding
  run `npm fund` for details

found 0 vulnerabilities
npm WARN content@1.0.0 No description
npm WARN content@1.0.0 No repository field.

Selanjutnya, instal library klien:

npm install @google-ai/generativelanguage

+ @google-ai/generativelanguage@1.0.1
updated 1 package and audited 74 packages in 2.274s

3 packages are looking for funding
  run `npm fund` for details

found 0 vulnerabilities
npm WARN content@1.0.0 No description
npm WARN content@1.0.0 No repository field.

Mendapatkan kunci API

Ikuti petunjuk di penyiapan untuk membuat kunci API aplikasi Anda. Anda akan memerlukan kunci API ini di sebelum menuju langkah selanjutnya.

Membuat pesan

Buat file baru index.js dan tambahkan kode berikut, yang menyediakan Kunci PaLM API melalui variabel lingkungan API_KEY:

%%writefile index.js

const { DiscussServiceClient } = require("@google-ai/generativelanguage");
const { GoogleAuth } = require("google-auth-library");

const MODEL_NAME = "models/chat-bison-001";
const API_KEY = process.env.API_KEY;

const client = new DiscussServiceClient({
  authClient: new GoogleAuth().fromAPIKey(API_KEY),
});

async function main() {
  const result = await client.generateMessage({
    model: MODEL_NAME, // Required. The model to use to generate the result.
    temperature: 0.5, // Optional. Value `0.0` always uses the highest-probability result.
    candidateCount: 1, // Optional. The number of candidate results to generate.
    prompt: {
      // optional, preamble context to prime responses
      context: "Respond to all questions with a rhyming poem.",
      // Optional. Examples for further fine-tuning of responses.
      examples: [
        {
          input: { content: "What is the capital of California?" },
          output: {
            content:
              `If the capital of California is what you seek,
Sacramento is where you ought to peek.`,
          },
        },
      ],
      // Required. Alternating prompt/response messages.
      messages: [{ content: "How tall is the Eiffel Tower?" }],
    },
  });

  console.log(result[0].candidates[0].content);
}

main();
Overwriting index.js

Kemudian jalankan skrip:

node index.js
The Eiffel Tower is 324 meters tall,
It's a sight to behold, tall and not small.
It's made of iron and weighs 10,100 tons,
It's a wonder of the world, it's a must-see for all.

Lanjutkan percakapan

Untuk melanjutkan percakapan setelah pesan perintah awal, Anda harus menambahkan pesan kandidat yang ditampilkan serta perintah Anda berikutnya:

%%writefile index.js
const { DiscussServiceClient } = require("@google-ai/generativelanguage");
const { GoogleAuth } = require("google-auth-library");

const MODEL_NAME = "models/chat-bison-001";
const API_KEY = process.env.API_KEY;

const client = new DiscussServiceClient({
  authClient: new GoogleAuth().fromAPIKey(API_KEY),
});

async function main() {
  let first = "Tell me a one short animal fact."
  let messages = [{ content: first }];

  const result = await client.generateMessage({
    model: MODEL_NAME,
    prompt: { messages },
  });

  console.log("User:\n\n", first, "\n\n")
  console.log("Palm:\n\n", result[0].candidates[0].content, "\n\n");

  let second = "Oh, where do those live?"

  messages.push({ content: result[0].candidates[0].content });
  messages.push({ content: second });

  const secondResult = await client.generateMessage({
    model: MODEL_NAME,
    prompt: { messages },
  });

  console.log("User:\n\n", second, "\n\n")
  console.log("Palm:\n\n", secondResult[0].candidates[0].content, "\n\n");
}

main();
Overwriting index.js
node index.js
User:

 Tell me a one short animal fact. 


Palm:

 The world's smallest mammal is the bumblebee bat, which weighs less than a penny. 


User:

 Oh, where do those live? 


Palm:

 The bumblebee bat is found in the rainforests of Thailand, Myanmar, and Laos. It is a small, nocturnal bat that feeds on insects. The bumblebee bat is the smallest mammal in the world, weighing only about 2 grams. It is about the size of a bumblebee, hence its name. The bumblebee bat is a very important part of the rainforest ecosystem. It helps to control insect populations and pollinate plants.