---
title: OLLM
description: OLLM Provider for the AI SDK
url: "https://ai-sdk.dev/providers/community-providers/ollm"
docs_index: /llms.txt
---

> For an index of all documentation, see [/llms.txt](/llms.txt).

[OLLM](https://ollm.com/) is the world's first enterprise router aggregating high-security, zero-knowledge LLM providers. It provides a unified API gateway to access AI models with guaranteed military-grade encryption at every layer. The OLLM provider for the AI SDK enables seamless integration with all these models while offering unique advantages:

- **Verifiable Privacy**: All models run with confidential computing for maximum security
- **Universal Model Access**: One API key for models from multiple providers
- **Confidential Computing**: Hardware-level encryption with TEE (Trusted Execution Environment) on all models
- **Military-Grade Security**: End-to-end encryption at every layer of the stack
- **Simple Integration**: OpenAI-compatible API across all models

Learn more about OLLM's capabilities in the [OLLM Website](https://ollm.com).

## Setup

The OLLM provider is available in the `@ofoundation/ollm` module. You can install it with:

```bash
pnpm add @ofoundation/ollm
```

## Provider Instance

To create an OLLM provider instance, use the `createOLLM` function:

```typescript
import { createOLLM } from '@ofoundation/ollm';

const ollm = createOLLM({
  apiKey: 'YOUR_OLLM_API_KEY',
});
```

You can obtain your OLLM API key from the [OLLM Dashboard](https://console.ollm.com/dashboard/api-keys).

## Language Models

All OLLM models run with confidential computing by default. Use `ollm.chatModel()` for chat models:

```typescript
// Confidential computing chat models
const confidentialModel = ollm.chatModel('near/GLM-4.7');
```

You can find the full list of available models in the [OLLM Models](https://ollm.com/models).

## Examples

Here are examples of using OLLM with the AI SDK:

### `generateText`

```typescript
import { createOLLM } from '@ofoundation/ollm';
import { generateText } from 'ai';

const ollm = createOLLM({
  apiKey: 'YOUR_OLLM_API_KEY',
});

const { text } = await generateText({
  model: ollm.chatModel('near/GLM-4.6'),
  prompt: 'What is OLLM?',
});

console.log(text);
```

### `streamText`

```typescript
import { createOLLM } from '@ofoundation/ollm';
import { streamText } from 'ai';

const ollm = createOLLM({
  apiKey: 'YOUR_OLLM_API_KEY',
});

const result = streamText({
  model: ollm.chatModel('near/GLM-4.6'),
  prompt: 'Write a short story about secure AI.',
});

for await (const chunk of result.textStream) {
  console.log(chunk);
}
```

### Using System Messages

```typescript
import { createOLLM } from '@ofoundation/ollm';
import { generateText } from 'ai';

const ollm = createOLLM({
  apiKey: 'YOUR_OLLM_API_KEY',
});

const { text } = await generateText({
  model: ollm.chatModel('near/GLM-4.6'),
  system: 'You are a helpful assistant that responds concisely.',
  prompt: 'What is TypeScript in one sentence?',
});

console.log(text);
```

## Advanced Features

OLLM offers several advanced features to enhance your AI applications with enterprise-grade security:

1. **Zero Data Retention (ZDR)**: Your prompts and completions are never stored or logged by providers.

2. **Confidential Computing**: Hardware-level encryption using TEE technology ensures your data is protected even during processing.

3. **Verifiable Privacy**: Cryptographic proofs that your data was processed securely.

4. **Model Flexibility**: Switch between hundreds of models without changing your code or managing multiple API keys.

5. **Cost Management**: Track usage and costs per model in real-time through the dashboard.

6. **Enterprise Support**: Available for high-volume users with custom SLAs and dedicated support.

7. **Tool Integrations**: Seamlessly works with popular AI development tools including:
   - Cursor
   - Windsurf
   - VS Code
   - Cline
   - Roo Code
   - Replit

For more information about these features and advanced configuration options, visit the [OLLM Documentation](https://ollm.com/docs).

## Additional Resources

- [OLLM Documentation](https://ollm.com/)
- [OLLM Dashboard](https://console.ollm.com/dashboard)
- [OLLM Models](https://console.ollm.com/explorer/models)

---

For a semantic overview of all documentation, see [/sitemap.md](/sitemap.md)

For an index of all available documentation, see [/llms.txt](/llms.txt)

For agent-facing discovery, including API and MCP surfaces, see [/agents.md](/agents.md)