Use TeamoRouter with the Vercel AI SDK

npm install ai @ai-sdk/openai-compatible zod
export TEAMOROUTER_API_KEY=sk-teamo-...

// teamorouter.ts
import { createOpenAICompatible } from '@ai-sdk/openai-compatible';

export const teamorouter = createOpenAICompatible({
  name: 'teamorouter',
  baseURL: 'https://api.teamorouter.com/v1',
  apiKey: process.env.TEAMOROUTER_API_KEY,
  includeUsage: true, // also return token usage when streaming
});

import { generateText, streamText } from 'ai';
import { teamorouter } from './teamorouter';

const { text, usage } = await generateText({
  model: teamorouter('deepseek-flash'),
  prompt: 'Explain what an API gateway does in one sentence.',
});
console.log(text, usage);

const result = streamText({
  model: teamorouter('deepseek-flash'),
  prompt: 'Write a haiku about latency.',
});
for await (const chunk of result.textStream) {
  process.stdout.write(chunk);
}

import { generateText, tool, stepCountIs } from 'ai';
import { z } from 'zod';
import { teamorouter } from './teamorouter';

const { text } = await generateText({
  model: teamorouter('deepseek-flash'),
  tools: {
    getWeather: tool({
      description: 'Get the current temperature for a city',
      inputSchema: z.object({ city: z.string() }),
      execute: async ({ city }) => ({ city, temperatureC: 22 }),
    }),
  },
  stopWhen: stepCountIs(3), // let the model call the tool, then answer
  prompt: 'What is the weather in Shanghai right now?',
});
console.log(text);

npm install @ai-sdk/anthropic

import { createAnthropic } from '@ai-sdk/anthropic';
import { generateText } from 'ai';

const anthropic = createAnthropic({
  baseURL: 'https://api.teamorouter.com/v1', // requests go to /v1/messages
  apiKey: process.env.TEAMOROUTER_API_KEY,   // sent as x-api-key
});

const { text } = await generateText({
  model: anthropic('claude-sonnet-5-5'),
  prompt: 'Review this function for bugs: ...',
});