# OpenAI Agents SDK (JavaScript/TypeScript)

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The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows in JavaScript/TypeScript. It is provider-agnostic, supporting OpenAI APIs and more.

<img src="https://cdn.openai.com/API/docs/images/orchestration.png" alt="Image of the Agents Tracing UI" style="max-height: 803px;">

## Core concepts

1. [**Agents**](https://openai.github.io/openai-agents-js/guides/agents): LLMs configured with instructions, tools, guardrails, and handoffs
1. [**Sandbox Agents**](https://openai.github.io/openai-agents-js/guides/sandbox-agents): Agents paired with a filesystem workspace and sandbox environment for longer-running work
1. [**Realtime Agents**](https://openai.github.io/openai-agents-js/guides/voice-agents/quickstart/): Low-latency agents for spoken interactions, with tools, guardrails, handoffs, and conversation history
1. **[Agents as tools](https://openai.github.io/openai-agents-js/guides/tools/#4-agents-as-tools) / [Handoffs](https://openai.github.io/openai-agents-js/guides/handoffs/)**: Delegating to other agents for specific tasks
1. [**Tools**](https://openai.github.io/openai-agents-js/guides/tools/): Various Tools let agents take actions (functions, MCP, hosted tools)
1. [**Guardrails**](https://openai.github.io/openai-agents-js/guides/guardrails/): Configurable safety checks for input and output validation
1. [**Human in the loop**](https://openai.github.io/openai-agents-js/guides/human-in-the-loop/): Built-in mechanisms for involving humans across agent runs
1. [**Sessions**](https://openai.github.io/openai-agents-js/guides/sessions/): Automatic conversation history management across agent runs
1. [**Tracing**](https://openai.github.io/openai-agents-js/guides/tracing/): Built-in tracking of agent runs, allowing you to view, debug and optimize your workflows

Explore the [`examples/`](https://github.com/openai/openai-agents-js/tree/main/examples) directory to see the SDK in action.

## Get started

### Supported environments

- Node.js 22 or later
- Deno
- Bun

#### Experimental support:

- Cloudflare Workers with `nodejs_compat` enabled

[Check out the documentation](https://openai.github.io/openai-agents-js/guides/troubleshooting/) for more detailed information.

### Installation

```bash
npm install @openai/agents zod
```

### Build a text agent

Use a regular [Agent](https://openai.github.io/openai-agents-js/guides/agents) for text-based workflows that do not need a sandbox workspace or Realtime session.

```js
import { Agent, run } from '@openai/agents';

const agent = new Agent({
  name: 'Assistant',
  instructions: 'You are a helpful assistant.',
});
const result = await run(
  agent,
  'Write a haiku about recursion in programming.',
);
console.log(result.finalOutput);
```

### Build a sandbox agent

Use a [Sandbox Agent](https://openai.github.io/openai-agents-js/guides/sandbox-agents) when the agent should work in a filesystem, run commands, or carry workspace state across longer tasks. Sandbox Agents are in beta.

This example uses `UnixLocalSandboxClient`, which is supported on macOS and Linux. On Windows, use `DockerSandboxClient` or a hosted sandbox client instead; see [Sandbox clients](https://openai.github.io/openai-agents-js/guides/sandbox-agents/clients) for setup details.

```js
import { run } from '@openai/agents';
import { gitRepo, SandboxAgent } from '@openai/agents/sandbox';
import { UnixLocalSandboxClient } from '@openai/agents/sandbox/local';

const agent = new SandboxAgent({
  name: 'Workspace Assistant',
  model: 'gpt-5.5',
  instructions: 'Inspect the repo before changing files.',
  defaultManifest: {
    entries: { repo: gitRepo({ repo: 'openai/openai-agents-js' }) },
  },
});

const result = await run(
  agent,
  'Inspect the repo README and summarize what this project does.',
  { sandbox: { client: new UnixLocalSandboxClient() } },
);

console.log(result.finalOutput);
```

### Build a realtime agent

Use a [Realtime Agent](https://openai.github.io/openai-agents-js/guides/voice-agents/quickstart/) for low-latency, spoken interactions in the browser.

```js
import { RealtimeAgent, RealtimeSession } from '@openai/agents/realtime';

const agent = new RealtimeAgent({
  name: 'Assistant',
  instructions: 'You are a helpful assistant.',
});
// Automatically connects your microphone and audio output in the browser via WebRTC.
const session = new RealtimeSession(agent);
await session.connect({ apiKey: '<client-api-key>' });
```

Set `OPENAI_API_KEY` in your server environment for text and sandbox agents. For browser-based realtime agents, use your server to create a short-lived ephemeral client token and pass it to `session.connect(...)`.

Explore the [`examples/`](https://github.com/openai/openai-agents-js/tree/main/examples) directory to see the SDK in action.

## Acknowledgements

We'd like to acknowledge the excellent work of the open-source community, especially:

- [zod](https://github.com/colinhacks/zod) (schema validation)
- [Starlight](https://github.com/withastro/starlight)
- [vite](https://github.com/vitejs/vite) and [vitest](https://github.com/vitest-dev/vitest)
- [pnpm](https://pnpm.io/)
- [Next.js](https://github.com/vercel/next.js)

We're committed to building the Agents SDK as an open source framework so others in the community can expand on our approach.

For more details, see the [documentation](https://openai.github.io/openai-agents-js) or explore the [`examples/`](https://github.com/openai/openai-agents-js/tree/main/examples) directory.