chatgpt-api/docs/sdks/dexter.mdx

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---
title: Dexter
description: Agentic adapter for the Dexa Dexter SDK.
---
- package: `@agentic/dexter`
- exports: `function createDexterFunctions`
- [source](https://github.com/transitive-bullshit/agentic/blob/main/packages/dexter/src/dexter.ts)
- [Dexa Dexter SDK docs](https://dexter.dexa.ai)
## Install
<CodeGroup>
```bash npm
npm install @agentic/dexter @dexaai/dexter
```
```bash yarn
yarn add @agentic/dexter @dexaai/dexter
```
```bash pnpm
pnpm add @agentic/dexter @dexaai/dexter
```
</CodeGroup>
## Usage
```ts
import 'dotenv/config'
import { createDexterFunctions } from '@agentic/dexter'
import { WeatherClient } from '@agentic/weather'
import { ChatModel, createAIRunner } from '@dexaai/dexter'
async function main() {
const weather = new WeatherClient()
const runner = createAIRunner({
chatModel: new ChatModel({
params: { model: 'gpt-4o-mini', temperature: 0 }
// debug: true
}),
functions: createDexterFunctions(weather),
systemMessage: 'You are a helpful assistant. Be as concise as possible.'
})
const result = await runner('What is the weather in San Francisco?')
console.log(result)
}
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/dexter/bin/weather.ts
```