---
title: OpenAI
description: How to use Agentic with the OpenAI TS SDK directly.
---

<Note>
  There's no need for an adapter with the OpenAI SDK since all agentic tools are
  compatible with OpenAI by default. You can use `AIFunctionSet.specs` for
  function calling or `AIFunctionSet.toolSpecs` for parallel tool calling.
</Note>

## Install

<CodeGroup>
```bash npm
npm install @agentic/stdlib openai
```

```bash yarn
yarn add @agentic/stdlib openai
```

```bash pnpm
pnpm add @agentic/stdlib openai
```

</CodeGroup>

## Usage

```ts
import { WeatherClient } from '@agentic/stdlib'
import OpenAI from 'openai'

const weather = new WeatherClient()
const openai = new OpenAI()

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

const res = await openai.chat.completions.create({
  messages,
  model: 'gpt-4o-mini',
  temperature: 0,
  tools: weather.functions.toolSpecs,
  tool_choice: 'required'
})
const message = res.choices[0]?.message!
console.log(JSON.stringify(message, null, 2))
assert(message.tool_calls?.[0]?.function?.name === 'get_current_weather')

const fn = weather.functions.get('get_current_weather')!

const toolArgs = message.tool_calls[0].function.arguments
const toolResult = await fn(toolArgs)
console.log(JSON.stringify(toolResult, null, 2))
```

### Running this example

<Info>
  You'll need a free API key from [weatherapi.com](https://www.weatherapi.com)
  to run this example. Store it in a local `.env` file as `WEATHER_API_KEY`.
</Info>

<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>

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

## OpenAI Responses API

Agentic also supports the [OpenAI Responses API](https://platform.openai.com/docs/api-reference/responses) by referencing `AIFunctionSet.responsesToolSpecs` as in this example:

```ts
import 'dotenv/config'

import type { ResponseInput } from 'openai/resources/responses/responses.mjs'
import { WeatherClient } from '@agentic/stdlib'
import OpenAI from 'openai'

async function main() {
  const weather = new WeatherClient()
  const openai = new OpenAI()

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

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

    const message = res.output[0]
    console.log(JSON.stringify(message, null, 2))
    assert(message?.type === 'function_call')
    assert(message.name === 'get_current_weather')

    const fn = weather.functions.get('get_current_weather')!
    const toolResult = await fn(message.arguments)

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

await main()
```

### Running this example

<Info>
  You'll need a free API key from [weatherapi.com](https://www.weatherapi.com)
  to run this example. Store it in a local `.env` file as `WEATHER_API_KEY`.
</Info>

<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>

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