ai-sdk-v6-core

name	AI SDK v6 Core
description	Build backend AI with Vercel AI SDK v5/v6. Agent abstraction, tool approval, error solutions. Use when: implementing AI SDK v5/v6 or troubleshooting AI errors.

Skill: ai-sdk-core

Scope

• Applies to: Backend AI features with Vercel AI SDK v5/v6, server-side text generation, structured outputs, AI agents with tools, multi-provider integration
• Does NOT cover: React chat UIs (see ai-sdk-ui), frontend hooks, embeddings, image generation

Assumptions

• AI SDK v5.0.98+ (stable) or v6.0.0-beta.107+ (beta)
• Node.js 18+ or Cloudflare Workers
• Zod v3.23.8+ or v4.x for schema validation
• TypeScript v5+ with strict mode

Principles

• Use generateText for simple text generation
• Use generateObject for structured outputs with Zod schemas
• Use streamText for streaming responses
• Use ToolLoopAgent (v6) for agent workflows with tool calling
• Use tool execution approval for human-in-the-loop patterns
• Use callOptions for dynamic runtime configuration
• Handle errors with specific error types (AI_APICallError, AI_NoObjectGeneratedError, etc.)
• Use provider abstraction (openai, anthropic, google) for multi-provider support

Constraints

MUST

• Handle response.error for typed error responses
• Use Zod schemas for structured output validation
• Use onError callback in streamText for error handling
• Validate API keys at startup

SHOULD

• Use ToolLoopAgent (v6) for agent workflows instead of manual tool orchestration
• Implement retry logic with exponential backoff for rate limits
• Use mode: 'json' when available for structured outputs
• Prefer GPT-4+ for complex structured output

AVOID

• Top-level imports in Cloudflare Workers (causes startup overhead)
• Skipping error handling for API calls
• Using any types (use proper error types)
• Mixing v5 and v6 APIs without migration

Interactions

• Complements ai-sdk-ui for React chat interfaces
• Works with nextjs Server Components and API routes
• Uses Zod for schema validation (see typescript)

Patterns

Basic Text Generation

import { generateText } from 'ai'
import { openai } from '@ai-sdk/openai'

const result = await generateText({
  model: openai('gpt-4'),
  prompt: 'Hello, world!',
})

Structured Output

import { generateObject } from 'ai'
import { z } from 'zod'

const result = await generateObject({
  model: openai('gpt-4'),
  schema: z.object({
    name: z.string(),
    age: z.number(),
  }),
  prompt: 'Generate a person',
})

Agent with Tools (v6)

import { ToolLoopAgent } from 'ai'
import { openai } from '@ai-sdk/openai'

const agent = new ToolLoopAgent({
  model: openai('gpt-4'),
  tools: { /* tool definitions */ },
})

const result = await agent.run({ prompt: 'Task' })

See Production Patterns and Templates for detailed examples.

References

• Production Patterns - Deployment and optimization patterns
• Top Errors - Common error solutions and troubleshooting

Resources

• AI SDK Docs
• AI SDK 6 Beta
• Error Reference