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92 changes: 92 additions & 0 deletions docs/customize/model-providers/more/empiriolabs.mdx
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---
title: "How to Configure EmpirioLabs with Continue"
sidebarTitle: "EmpirioLabs"
---

<Info>
[EmpirioLabs AI](https://empiriolabs.ai) is an OpenAI-compatible multi-model
API hosting open and proprietary models (Qwen, DeepSeek, GLM, Kimi, MiniMax,
Gemma, and more) with pay-as-you-go pricing.
</Info>

<Tip>
Get an API key from the [EmpirioLabs dashboard](https://platform.empiriolabs.ai/dashboard/api-keys). The model catalog with per-model pricing and context windows is at [empiriolabs.ai/models](https://empiriolabs.ai/models).
</Tip>

## Configuration

EmpirioLabs serves the OpenAI-compatible Chat Completions API, so it works through the `openai` provider with a custom `apiBase`.

### Load every model automatically

Set `model: AUTODETECT` and Continue fetches the full model list from the EmpirioLabs `/v1/models` endpoint, so every model on your account appears in the picker without listing them by hand:

```yaml title="config.yaml"
name: My Config
version: 0.0.1
schema: v1

models:
- name: EmpirioLabs
provider: openai
model: AUTODETECT
apiBase: https://api.empiriolabs.ai/v1
apiKey: <YOUR_EMPIRIOLABS_API_KEY>
roles:
- chat
- edit
- apply
```

### Configure a single model

To pin one model, set its slug as the `model`:

<Tabs>
<Tab title="YAML">
```yaml title="config.yaml"
name: My Config
version: 0.0.1
schema: v1

models:
- name: Qwen3.7 Plus
provider: openai
model: qwen3-7-plus
apiBase: https://api.empiriolabs.ai/v1
apiKey: <YOUR_EMPIRIOLABS_API_KEY>
roles:
- chat
- edit
- apply
```
</Tab>
<Tab title="JSON (Deprecated)">
```json title="config.json"
{
"models": [
{
"title": "Qwen3.7 Plus",
"provider": "openai",
"model": "qwen3-7-plus",
"apiBase": "https://api.empiriolabs.ai/v1",
"apiKey": "<YOUR_EMPIRIOLABS_API_KEY>"
}
]
}
```
</Tab>
</Tabs>

## Popular Models

| Model | Context | Best For |
|-------|---------|----------|
| `qwen3-7-max` | 1M tokens | Coding, agents, deep thinking |
| `qwen3-7-plus` | 1M tokens | Cost-effective multimodal coding |
| `deepseek-v4-pro` | 1M tokens | Flagship reasoning |
| `deepseek-v4-flash` | 1M tokens | Fast, low-cost reasoning |
| `glm-5-1` | 202K tokens | Long-context tool use |
| `kimi-k2-6` | 256K tokens | Agentic multimodal reasoning |

Reasoning-capable models accept the `reasoning_effort` request option (`none`, `low`, `medium`, `high`, `max`).
1 change: 1 addition & 0 deletions docs/docs.json
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"customize/model-providers/more/clawrouter",
"customize/model-providers/more/deepseek",
"customize/model-providers/more/deepinfra",
"customize/model-providers/more/empiriolabs",
"customize/model-providers/more/groq",
"customize/model-providers/more/llamacpp",
"customize/model-providers/more/llamastack",
Expand Down
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