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LAN","email":"45042818+shaoyulan@users.noreply.github.com"},"license":"MIT","homepage":"https://github.com/shaoyulan/ai-application-toolkit/tree/main/packages/integrations/vercel-ai#readme","keywords":["ai","llm","toolkit","anthropic","claude","vercel-ai"],"repository":{"type":"git","url":"git+https://github.com/shaoyulan/ai-application-toolkit.git","directory":"packages/integrations/vercel-ai"},"description":"Use AI Application Toolkit tools with the Vercel AI SDK.","maintainers":[{"name":"dannyshao","email":"dannyshao94@gmail.com"}],"readme":"# @ai-application-toolkit/vercel-ai\n\nUse AI Application Toolkit tools with the Vercel AI SDK.\n\nPart of the [AI Application Toolkit](https://github.com/shaoyulan/ai-application-toolkit#readme).\n\n## Install\n\n```bash\npnpm add @ai-application-toolkit/vercel-ai ai\n```\n\n## Usage\n\n`toVercelTools` converts toolkit tools into a Vercel AI SDK `ToolSet`. Each\ntool's JSON Schema becomes the AI SDK `inputSchema`, and `execute` runs through\nthe toolkit runtime — so input validation, guardrails, context, and tracing all\napply.\n\n```ts\nimport { generateText } from 'ai'\nimport { openai } from '@ai-sdk/openai'\nimport { defineTool } from '@ai-application-toolkit/tool'\nimport { toVercelTools } from '@ai-application-toolkit/vercel-ai'\n\nconst add = defineTool({\n  id: 'add',\n  description: 'Add two numbers',\n  input: {\n    type: 'object',\n    properties: { a: { type: 'number' }, b: { type: 'number' } },\n    required: ['a', 'b'],\n    additionalProperties: false\n  },\n  execute: (input: { a: number; b: number }) => input.a + input.b\n})\n\nconst result = await generateText({\n  model: openai('gpt-4o'),\n  prompt: 'What is 2 + 3?',\n  tools: toVercelTools([add])\n})\n```\n\nPass `runtime` to add guardrails, a base context, a trace sink, or a timeout:\n\n```ts\ntoVercelTools([add], { runtime: { guardrails: [myGuardrail], timeoutMs: 5000 } })\n```\n\n## License\n\nMIT © Danny LAN\n","readmeFilename":"README.md"}