OrcaRouter tools in Vercel AI SDK

// orcarouter-tools.ts
import { jsonSchema, tool, type ToolSet } from "ai";

const BASE = "https://api.orcarouter.ai";
const headers = {
  Authorization: `Bearer ${process.env.ORCAROUTER_API_KEY}`,
  "Content-Type": "application/json",
};

export async function orcarouterTools(query: string, limit = 5): Promise<ToolSet> {
  const found = await fetch(`${BASE}/v1/tools/discover`, {
    method: "POST",
    headers,
    body: JSON.stringify({ q: query, limit }),
  }).then((res) => res.json());
  const ids = found.data.results.map((t: { id: string }) => t.id).join(",");
  if (!ids) return {};
  const fns = await fetch(
    `${BASE}/v1/tools/functions?format=openai&ids=${encodeURIComponent(ids)}`,
    { headers },
  ).then((res) => res.json());

  const tools: ToolSet = {};
  for (const { function: fn } of fns.data.tools) {
    tools[fn.name] = tool({
      description: fn.description,
      inputSchema: jsonSchema(fn.parameters),
      execute: async (input) => {
        const res = await fetch(`${BASE}/v1/tools/${fn.name}/run`, {
          method: "POST",
          headers,
          body: JSON.stringify({ input }),
        });
        return res.json();
      },
    });
  }
  return tools;
}

import { createOpenAI } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";
import { orcarouterTools } from "./orcarouter-tools";

const orcarouter = createOpenAI({
  baseURL: "https://api.orcarouter.ai/v1",
  apiKey: process.env.ORCAROUTER_API_KEY,
});

const { text } = await generateText({
  model: orcarouter.chat("openai/gpt-5-mini"),
  tools: await orcarouterTools("tiktok user profile"),
  stopWhen: stepCountIs(5),
  prompt: "How many followers does @nasa have on TikTok?",
});
console.log(text);