MongoDB Vercel AI SDK 통합 시작하기

mkdir vercel-ai-mongodb-projectcd vercel-ai-mongodb-projectnpm init -ynpm install @mongodb-developer/vercel-ai-memory ai mongodb zod @ai-sdk/openai voyage-ai-provider dotenvnpm install --save-dev tsx @types/node

OPENAI_API_KEY="<openai-api-key>"VOYAGE_API_KEY="<voyage-api-key>"MONGODB_URI="<connection-string>"

import 'dotenv/config'import { createMongoDBMemory } from '@mongodb-developer/vercel-ai-memory'import { createVoyage } from 'voyage-ai-provider'import { openai } from '@ai-sdk/openai'import { ToolLoopAgent } from 'ai'

const voyage = createVoyage({  apiKey: process.env.VOYAGE_API_KEY,  baseURL: 'https://ai.mongodb.com/v1',})
const mongodbMemory = createMongoDBMemory({  uri: process.env.MONGODB_URI!,  embedder: voyage.embeddingModel('voyage-4'),})

const agent = new ToolLoopAgent({  model: openai('gpt-4.1'),  tools: mongodbMemory({ userId: 'alice', sessionId: 'sess-001' }),  instructions: `You are an assistant with persistent memory.    At the start of every conversation, call session_recent to    restore context and semantic_search to recall facts about    the user. Save each conversation turn with session_append.    Save important facts about the user with semantic_save.`,})

async function main() {  const prompt = process.argv[2]
  if (!prompt) {    console.error('Usage: npx tsx main.ts "<your message>"')    process.exit(1)  }
  const result = await agent.generate({ prompt })  console.log('[agent]:', result.text)
  await mongodbMemory.close()}
main().catch((error) => {  console.error(error)  process.exit(1)})

npx tsx main.ts "I'm a marine biologist who studies emperor penguins in Antarctica. Remember that."

[agent]: I've noted that you are a marine biologist studying emperorpenguins in Antarctica.

npx tsx main.ts "What do I study, and where?"

[agent]: You are a marine biologist who studies emperor penguins inAntarctica.