---
title: OpenAI Responses
description: How to use Agentic tools with the OpenAI Responses API.
---

<Tip>
  There's no need for an adapter with the OpenAI SDK since all agentic tools are
  compatible with OpenAI by default.
</Tip>

## Install

<CodeGroup>
```bash npm
npm install openai @agentic/platform-tool-client
```

```bash pnpm
pnpm add openai @agentic/platform-tool-client
```

```bash bun
bun add openai @agentic/platform-tool-client
```

```bash yarn
yarn add openai @agentic/platform-tool-client
```

</CodeGroup>

## Usage

This example uses the [`@agentic/search`](https://agentic.so/marketplace/projects/@agentic/search) tool.

```ts
import 'dotenv/config'

import { assert } from '@agentic/core'
import { AgenticToolClient } from '@agentic/platform-tool-client'
import OpenAI from 'openai'

async function main() {
  const searchTool = await AgenticToolClient.fromIdentifier('@agentic/search')
  const openai = new OpenAI()

  const messages: OpenAI.Responses.ResponseInput = [
    {
      role: 'system',
      content: 'You are a helpful assistant. Be as concise as possible.'
    },
    { role: 'user', content: 'What is the weather in San Francisco?' }
  ]

  {
    // First call to OpenAI to invoke the tool
    const res = await openai.responses.create({
      model: 'gpt-4o-mini',
      temperature: 0,
      tools: searchTool.functions.responsesToolSpecs,
      tool_choice: 'required',
      input: messages
    })

    const toolCall = res.output[0]
    assert(toolCall?.type === 'function_call')
    const toolResult = await searchTool.callTool(
      toolCall.name,
      toolCall.arguments
    )

    messages.push(toolCall)
    messages.push({
      type: 'function_call_output',
      call_id: toolCall.call_id,
      output: JSON.stringify(toolResult)
    })
  }

  {
    // Second call to OpenAI to generate a text response
    const res = await openai.responses.create({
      model: 'gpt-4o-mini',
      temperature: 0,
      tools: searchTool.functions.responsesToolSpecs,
      input: messages
    })

    console.log(res.output_text)
  }
}

await main()
```

## Running this example

You can view the full source for this example here: https://github.com/transitive-bullshit/agentic/tree/main/examples/ts-sdks/openai

<Info>
  You'll need an [OpenAI API key](https://platform.openai.com/docs/quickstart)
  to run this example. Store it in a local `.env` file as `OPENAI_API_KEY`.
</Info>

<Info>
  The
  [`@agentic/search`](https://agentic.so/marketplace/projects/@agentic/search)
  tool comes with a generous free tier, but once that runs out, you'll need to
  sign up for a paid plan and add an `AGENTIC_API_KEY` to your `.env` file.
</Info>

```sh
git clone git@github.com:transitive-bullshit/agentic.git
cd agentic
pnpm install
pnpm build
echo 'OPENAI_API_KEY=your-key' >> .env
npx tsx examples/ts-sdks/openai/bin/weather-responses.ts
```

## Additional resources

- [OpenAI Chat Completions API docs](https://platform.openai.com/docs/api-reference/chat/create)
- [OpenAI Responses vs Chat Completions](https://platform.openai.com/docs/guides/responses-vs-chat-completions)
- [Using OpenAI's Chat Completion API with Agentic](/marketplace/ts-sdks/openai-chat)