> ## 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.

# Ollama Provider

> Use local Ollama 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
```

# Ollama Provider

Run models locally with Ollama.

## Environment Variables

```bash theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
export OLLAMA_BASE_URL=http://localhost:11434
```

## Supported Modalities

| Modality   | Supported |
| ---------- | --------- |
| Text/Chat  | ✅         |
| Embeddings | ✅         |
| Tools      | ✅         |

## Prerequisites

1. Install Ollama: [https://ollama.ai](https://ollama.ai)
2. Pull a model: `ollama pull llama3.2`

## Quick Start

<Steps>
  <Step title="Simple Usage">
    ```typescript theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
    import { Agent } from 'praisonai';

    const agent = new Agent({
      name: 'LocalAgent',
      instructions: 'You are a helpful assistant.',
      llm: 'ollama/llama3.2'
    });

    const response = await agent.chat('Hello!');
    ```
  </Step>

  <Step title="With Configuration">
    Adjust provider credentials and model settings for production — see the sections above.
  </Step>
</Steps>

## Available Models

| Model       | Description |
| ----------- | ----------- |
| `llama3.2`  | Llama 3.2   |
| `llama3.1`  | Llama 3.1   |
| `mistral`   | Mistral 7B  |
| `codellama` | Code Llama  |
| `phi3`      | Phi-3       |

## Related

<CardGroup cols={2}>
  <Card title="Ollama CLI Usage" icon="terminal" href="/docs/js/providers/ollama-cli">
    Ollama CLI Usage
  </Card>

  <Card title="Local Providers" icon="book" href="/docs/js/local-providers">
    Local Providers
  </Card>
</CardGroup>