--- title: OpenAI description: How to use Agentic with the OpenAI TS SDK directly. --- 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. ## Install ```bash npm npm install @agentic/core @agentic/stdlib openai ``` ```bash yarn yarn add @agentic/core @agentic/stdlib openai ``` ```bash pnpm pnpm add @agentic/core @agentic/stdlib openai ``` ## 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 toolParams = message.tool_calls[0].function.arguments const toolResult = await fn(toolParams) console.log(JSON.stringify(toolResult, null, 2)) ``` ## Running this example 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`. 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`. ```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 ```