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@typia/vercel

v13.2.0

Published

Vercel AI SDK integration for typia

Downloads

1,508

Readme

@typia/vercel

Typia Logo

GitHub license NPM Version NPM Downloads Build Status Guide Documents Gurubase Discord Badge

Vercel AI SDK integration for typia.

Converts typia controllers to Vercel AI SDK tools compatible with OpenAI, Anthropic, Google, and other LLM providers.

Setup

npm install @typia/vercel ai typia
npm install -D ttsc typescript@rc

Usage

From TypeScript class

import { openai } from "@ai-sdk/openai";
import { toVercelTools } from "@typia/vercel";
import { generateText, GenerateTextResult, Tool } from "ai";
import typia from "typia";

const tools: Record<string, Tool> = toVercelTools(
  typia.llm.controller<Calculator>("Calculator", new Calculator()),
);

const result: GenerateTextResult = await generateText({
  model: openai("gpt-4o"),
  prompt: "What is 10 + 5?",
  tools,
});

From OpenAPI document

import { toVercelTools } from "@typia/vercel";
import { HttpLlm } from "@typia/utils";
import { Tool } from "ai";

const tools: Record<string, Tool> = toVercelTools(
  HttpLlm.controller({
    name: "petStore",
    document: yourOpenApiDocument,
    connection: { host: "https://api.example.com" },
  }),
);

Structured Output

Use typia.llm.parameters<T>() with Vercel's jsonSchema() to generate structured output with validation:

import { openai } from "@ai-sdk/openai";
import { generateObject, jsonSchema } from "ai";
import { dedent, LlmJson } from "@typia/utils";
import typia, { tags } from "typia";

interface IMember {
  email: string & tags.Format<"email">;
  name: string;
  age: number & tags.Minimum<0> & tags.Maximum<100>;
  hobbies: string[];
  joined_at: string & tags.Format<"date">;
}

const { object } = await generateObject({
  model: openai("gpt-4o"),
  schema: jsonSchema<IMember>(typia.llm.parameters<IMember>(), {
    validate: (value) => {
      const result = typia.validate<IMember>(value);
      if (result.success) return { success: true, value: result.data };
      return {
        success: false,
        error: new Error(LlmJson.stringify(result)),
      };
    },
  }),
  prompt: dedent`
    I am a new member of the community.

    My name is John Doe, and I am 25 years old.
    I like playing basketball and reading books,
    and joined to this community at 2022-01-01.
  `,
});

Features

  • No manual schema definition — generates everything from TypeScript types or OpenAPI
  • Automatic argument validation with LLM-friendly error feedback
  • Reflected return types advertise the { success, data/error } output wrapper
  • Runtime tool errors are returned as { success: false, error } for model recovery
  • Supports both class-based (typia.llm.controller) and HTTP-based (HttpLlm.controller) controllers
  • Works with any LLM provider supported by Vercel AI SDK