The Open Source AI Toolkit for TypeScript. Built by @Vercel.
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ALT AI SDK 7 Develop, run, and observe agents.
ALT Code snippet for generating audio using ElevenLabs. import { generateSpeech } from 'ai' const { audio } = await generateSpeech({ model: 'elevenlabs/music-v2.5', text: 'A mellow lo-fi beat with soft piano', providerOptions: { elevenlabs: { musicLengthMs: 30000 } } })
ALT Code snippet asking GPT 6.1 Terra about about the number 4's significance. import { generateText } from 'ai' const { text } = await generateText({ model: 'openai/gpt-6.1-terra', prompt: 'Explain the significance of the number 4.' })
![Code snippet using generateText with the web fetch tool. const { text } = await generateText({ model: 'openai/gpt-6.1-sol', prompt: 'Read https://ai-sdk.dev and summarize.', tools: { webFetch: createWebFetchTool({ allowedDomains: ['ai-sdk.dev', 'vercel.com'], requireUrlInUserMessage: true }) } })](https://pbs.twimg.com/media/HVVDEE9aYAYLPk8.jpg?name=orig)
ALT Code snippet using generateText with the web fetch tool. const { text } = await generateText({ model: 'openai/gpt-6.1-sol', prompt: 'Read https://ai-sdk.dev and summarize.', tools: { webFetch: createWebFetchTool({ allowedDomains: ['ai-sdk.dev', 'vercel.com'], requireUrlInUserMessage: true }) } })
![Code snippet using Jev 1.14.0 to decide whether a cat is shown in an image. import { experimental_decide as decide } from 'ai' import { readFileSync } from 'node:fs' const { answers } = await decide({ model: 'typesafe-ai/jev-1.14.0', state: [ { type: 'file', mediaType: 'image', data: readFileSync('cat.jpg') } ], questions: { cat: { type: 'boolean', instructions: 'Does the image show a cat?' } } }) console.log(answers.cat.probability)](https://pbs.twimg.com/media/HU_DZdmakAElgfE.jpg?name=orig)
ALT Code snippet using Jev 1.14.0 to decide whether a cat is shown in an image. import { experimental_decide as decide } from 'ai' import { readFileSync } from 'node:fs' const { answers } = await decide({ model: 'typesafe-ai/jev-1.14.0', state: [ { type: 'file', mediaType: 'image', data: readFileSync('cat.jpg') } ], questions: { cat: { type: 'boolean', instructions: 'Does the image show a cat?' } } }) console.log(answers.cat.probability)
ALT Code snippet showcasing a text streaming function using Gemini 4 Argon to generate database guide content efficiently: import { streamText } from "ai" const result = streamText({ model:"google/gemini-4-argon", prompt: "Write a detailed guide to building a relational database from scratch", maxOutputTokens: 200_000 }) for await (const textPart of result.textStream) { process.stdout.write(textPart); }
ALT A code snippet shows an import statement for generating text using an AI model, detailing a prompt for creating a new holiday: import { generateText } from 'ai' const { text } = await generateText({ model: 'anthropic/claude-sonnet-5.5', prompt: 'Invent a new holiday and describe its traditions.' })
