Vercel AI SDK

There is no equivalent of this bridge in java-sdk/python-sdk — it exists because the Vercel AI SDK is a Node/JS-ecosystem-specific tool convention. Two ways to use it:

1. AI SDK tools on a native Agent (recommended). The tool system is a superset — it auto-detects AI SDK tool() objects (Zod parameters + execute) and converts them to native tool defs. No wrapper needed.

import { tool as aiTool } from 'ai';
import { z } from 'zod';
import { Agent, AgentRuntime } from '@io-orkes/conductor-javascript/agents';

const weatherTool = aiTool({
  description: 'Get current weather for a city',
  parameters: z.object({ city: z.string().describe('City name') }),
  execute: async ({ city }) => ({ city, tempF: 62, condition: 'Foggy' }),
});

const agent = new Agent({
  name: 'weather_agent',
  model: 'anthropic/claude-sonnet-4-6',
  instructions: 'Use available tools to answer questions.',
  tools: [weatherTool],
});

const runtime = new AgentRuntime();
try {
  const result = await runtime.run(agent, 'What is the weather in San Francisco?');
  result.printResult();
} finally {
  await runtime.shutdown();
}

2. Drop-in generateText / streamText. The @io-orkes/conductor-javascript/agents/vercel-ai subpath exports AI-SDK-shaped generateText and streamText that internally build an Agent + AgentRuntime and map the result back into the AI SDK response shape:

import { generateText } from '@io-orkes/conductor-javascript/agents/vercel-ai';

const { text } = await generateText({
  model: 'anthropic/claude-sonnet-4-6',
  prompt: 'Write a haiku about durable execution.',
});

ai and zod are optional peer dependencies — install them only if you use this bridge.

Next steps

Framework agents can be deployed too: runtime.deploy(frameworkAgent). See deploy/serve/run/plan.