> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# LM Studio Provider

> Use LM Studio local models with PraisonAI TypeScript

```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
graph LR
    U[Input] --> A[Agent]
    A --> O[Output]

    classDef agent fill:#8B0000,color:#fff
    classDef tool fill:#189AB4,color:#fff

    class A agent
    class U,O tool
```

# LM Studio Provider

Run models locally with LM Studio.

## Environment Variables

```bash theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
export LM_STUDIO_BASE_URL=http://localhost:1234/v1
```

## Quick Start

**1. Simple Usage**

```typescript theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
import { Agent } from 'praisonai';

const agent = new Agent({
  name: 'LMStudioAgent',
  instructions: 'You are a helpful assistant.',
  llm: 'lm-studio/local-model',
  llmConfig: {
    baseUrl: 'http://localhost:1234/v1'
  }
});

const response = await agent.chat('Hello!');
```

**2. With Configuration**

Adjust provider credentials and model settings for production — see the sections above.

## Related

> [card] [LM Studio CLI Usage](https://praison.ai/docs/js/providers/lm-studio-cli.md)
>
> LM Studio CLI Usage

* [Local Providers](https://praison.ai/docs/js/providers.md)


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