## Share with your team

### Adding a custom LLM provider

Use this when the provider is not in the catalog. The Cloud dashboard accepts a models.dev-style JSON definition, stores the shared credential once, and then lets desktop workspaces import it.

## Create the custom provider

1. Open `LLM Providers`.
2. Click `Add Provider`.
3. Switch to `Custom provider`.
4. Paste the `Custom provider JSON`.
5. Paste the shared `API key / credential`.
6. Choose `People access` and/or `Team access`.
7. Click `Create Provider`.

The JSON must include `id`, `name`, `npm`, `env`, `doc`, and `models`. `api` is optional, but most OpenAI-compatible providers use it. The editor also requires valid JSON, at least one environment variable, and at least one model.

```
{
  "id": "custom-provider",
  "name": "Custom Provider",
  "npm": "@ai-sdk/openai-compatible",
  "env": [
    "CUSTOM_PROVIDER_API_KEY"
  ],
  "doc": "https://example.com/docs/models",
  "api": "https://api.example.com/v1",
  "models": [
    {
      "id": "custom-provider/example-model",
      "name": "Example Model",
      "attachment": false,
      "reasoning": false,
      "tool_call": true,
      "structured_output": true,
      "temperature": true,
      "release_date": "2026-01-01",
      "last_updated": "2026-01-01",
      "open_weights": false,
      "limit": {
        "context": 128000,
        "input": 128000,
        "output": 8192
      },
      "modalities": {
        "input": [
          "text"
        ],
        "output": [
          "text"
        ]
      }
    }
  ]
}
```

## Import it into the desktop app

1. Open `Settings -> Cloud`.
2. Choose the correct `Active org`.
3. Under `Cloud providers`, click `Import`.
4. Reload the workspace when OpenWork asks.

### Functional example: an LLM gateway (Infron)

An LLM gateway is one OpenAI-compatible endpoint that fans out to many model providers. If you want to run the routing yourself, [LiteLLM](https://infron.ai/docs/frameworks-and-integrations/litellm) is a good starting point. [Infron](https://infron.ai/) is the hosted option: one API key gets you every model in its [marketplace](https://infron.ai/models) with automatic provider fallbacks and a single invoice, so adding a new LLM to OpenWork is just another entry under `models`. Grab a key from the [API Keys dashboard](https://infron.ai/dashboard/apiKeys). If you don’t have an account yet, sign up at [infron.ai/login](https://infron.ai/login) and their [quickstart](https://infron.ai/docs/overview/quickstart/text) walks you through your first request. Paste the key into `API key / credential` and use this JSON:

```
{
  "id": "infron",
  "name": "Infron",
  "npm": "@ai-sdk/openai-compatible",
  "env": [
    "INFRON_API_KEY"
  ],
  "doc": "https://infron.ai/docs/frameworks-and-integrations/openwork",
  "api": "https://llm.onerouter.pro/v1",
  "models": [
    {
      "id": "deepseek/deepseek-v3.2",
      "name": "DeepSeek V3.2",
      "attachment": false,
      "reasoning": true,
      "tool_call": true,
      "structured_output": true,
      "temperature": true,
      "release_date": "2025-09-29",
      "last_updated": "2025-09-29",
      "open_weights": true,
      "limit": {
        "context": 128000,
        "input": 128000,
        "output": 8192
      },
      "modalities": {
        "input": ["text"],
        "output": ["text"]
      }
    }
  ]
}
```

Once imported, Infron models show up in the Chat model picker alongside everything else:

Pick the model and it’s live in the session footer:

Add more entries under `models` to expose other routes the gateway supports (e.g. `openai/gpt-5.4`, `google/gemini-2.5-flash`).

## When to use a cloud provider

Use a Cloud provider when the setup is meant to be shared across an org or team. For solo use, configuring it directly in the desktop app is simpler.