Hugging Face Inference Providers offer OpenAI-compatible chat completions through a single router API. You get access to many models (DeepSeek, Llama, and more) with one token. Genesis uses the OpenAI-compatible endpoint (chat completions only); for text-to-image, embeddings, or speech use the HF inference clients directly.

  • Provider: huggingface
  • Auth: HUGGINGFACE_HUB_TOKEN or HF_TOKEN (fine-grained token with Make calls to Inference Providers)
  • API: OpenAI-compatible (https://router.huggingface.co/v1)
  • Billing: Single HF token; pricing follows provider rates with a free tier.

Getting started

Create a fine-grained token

Go to [Hugging Face Settings Tokens](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained) and create a new fine-grained token.

<div class="callout warning">
The token must have the **Make calls to Inference Providers** permission enabled or API requests will be rejected.
</div>

Run onboarding

Choose **Hugging Face** in the provider dropdown, then enter your API key when prompted:

```bash
genesis onboard --auth-choice huggingface-api-key
```

Select a default model

In the **Default Hugging Face model** dropdown, pick the model you want. The list is loaded from the Inference API when you have a valid token; otherwise a built-in list is shown. Your choice is saved as the default model.

You can also set or change the default model later in config:

```json5
{
  agents: {
    defaults: {
      model: { primary: "huggingface/deepseek-ai/DeepSeek-R1" },
    },
  },
}
```

Verify the model is available

```bash
genesis models list --provider huggingface
```

Non-interactive setup

genesis onboard --non-interactive \
  --mode local \
  --auth-choice huggingface-api-key \
  --huggingface-api-key "$HF_TOKEN"

This will set huggingface/deepseek-ai/DeepSeek-R1 as the default model.

Model IDs

Model refs use the form huggingface/<org>/<model> (Hub-style IDs). The list below is from GET https://router.huggingface.co/v1/models; your catalog may include more.

Model Ref (prefix with huggingface/)
DeepSeek R1 deepseek-ai/DeepSeek-R1
DeepSeek V3.2 deepseek-ai/DeepSeek-V3.2
Qwen3 8B Qwen/Qwen3-8B
Qwen2.5 7B Instruct Qwen/Qwen2.5-7B-Instruct
Qwen3 32B Qwen/Qwen3-32B
Llama 3.3 70B Instruct meta-llama/Llama-3.3-70B-Instruct
Llama 3.1 8B Instruct meta-llama/Llama-3.1-8B-Instruct
GPT-OSS 120B openai/gpt-oss-120b
GLM 4.7 zai-org/GLM-4.7
Kimi K2.5 moonshotai/Kimi-K2.5
You can append `:fastest` or `:cheapest` to any model id. Set your default order in [Inference Provider settings](https://hf.co/settings/inference-providers); see [Inference Providers](https://huggingface.co/docs/inference-providers) and **GET** `https://router.huggingface.co/v1/models` for the full list.

Advanced configuration

Model discovery and onboarding dropdown

Genesis discovers models by calling the **Inference endpoint directly**:

```bash
GET https://router.huggingface.co/v1/models
```

(Optional: send `Authorization: Bearer $HUGGINGFACE_HUB_TOKEN` or `$HF_TOKEN` for the full list; some endpoints return a subset without auth.) The response is OpenAI-style `{ "object": "list", "data": [ { "id": "Qwen/Qwen3-8B", "owned_by": "Qwen", ... }, ... ] }`.

When you configure a Hugging Face API key (via onboarding, `HUGGINGFACE_HUB_TOKEN`, or `HF_TOKEN`), Genesis uses this GET to discover available chat-completion models. During **interactive setup**, after you enter your token you see a **Default Hugging Face model** dropdown populated from that list (or the built-in catalog if the request fails). At runtime (e.g. Gateway startup), when a key is present, Genesis again calls **GET** `https://router.huggingface.co/v1/models` to refresh the catalog. The list is merged with a built-in catalog (for metadata like context window and cost). If the request fails or no key is set, only the built-in catalog is used.

Model names, aliases, and policy suffixes

- **Name from API:** The model display name is **hydrated from GET /v1/models** when the API returns `name`, `title`, or `display_name`; otherwise it is derived from the model id (e.g. `deepseek-ai/DeepSeek-R1` becomes "DeepSeek R1").
- **Override display name:** You can set a custom label per model in config so it appears the way you want in the CLI and UI:

```json5
{
  agents: {
    defaults: {
      models: {
        "huggingface/deepseek-ai/DeepSeek-R1": { alias: "DeepSeek R1 (fast)" },
        "huggingface/deepseek-ai/DeepSeek-R1:cheapest": { alias: "DeepSeek R1 (cheap)" },
      },
    },
  },
}
```

- **Policy suffixes:** Genesis's bundled Hugging Face docs and helpers currently treat these two suffixes as the built-in policy variants:
  - **`:fastest`** — highest throughput.
  - **`:cheapest`** — lowest cost per output token.

  You can add these as separate entries in `models.providers.huggingface.models` or set `model.primary` with the suffix. You can also set your default provider order in [Inference Provider settings](https://hf.co/settings/inference-providers) (no suffix = use that order).

- **Config merge:** Existing entries in `models.providers.huggingface.models` (e.g. in `models.json`) are kept when config is merged. So any custom `name`, `alias`, or model options you set there are preserved.

Environment and daemon setup

If the Gateway runs as a daemon (launchd/systemd), make sure `HUGGINGFACE_HUB_TOKEN` or `HF_TOKEN` is available to that process (for example, in `~/.genesis/.env` or via `env.shellEnv`).

<div class="callout note">
Genesis accepts both `HUGGINGFACE_HUB_TOKEN` and `HF_TOKEN` as env var aliases. Either one works; if both are set, `HUGGINGFACE_HUB_TOKEN` takes precedence.
</div>

Config: DeepSeek R1 with Qwen fallback

```json5
{
  agents: {
    defaults: {
      model: {
        primary: "huggingface/deepseek-ai/DeepSeek-R1",
        fallbacks: ["huggingface/Qwen/Qwen3-8B"],
      },
      models: {
        "huggingface/deepseek-ai/DeepSeek-R1": { alias: "DeepSeek R1" },
        "huggingface/Qwen/Qwen3-8B": { alias: "Qwen3 8B" },
      },
    },
  },
}
```

Config: Qwen with cheapest and fastest variants

```json5
{
  agents: {
    defaults: {
      model: { primary: "huggingface/Qwen/Qwen3-8B" },
      models: {
        "huggingface/Qwen/Qwen3-8B": { alias: "Qwen3 8B" },
        "huggingface/Qwen/Qwen3-8B:cheapest": { alias: "Qwen3 8B (cheapest)" },
        "huggingface/Qwen/Qwen3-8B:fastest": { alias: "Qwen3 8B (fastest)" },
      },
    },
  },
}
```

Config: DeepSeek + Llama + GPT-OSS with aliases

```json5
{
  agents: {
    defaults: {
      model: {
        primary: "huggingface/deepseek-ai/DeepSeek-V3.2",
        fallbacks: [
          "huggingface/meta-llama/Llama-3.3-70B-Instruct",
          "huggingface/openai/gpt-oss-120b",
        ],
      },
      models: {
        "huggingface/deepseek-ai/DeepSeek-V3.2": { alias: "DeepSeek V3.2" },
        "huggingface/meta-llama/Llama-3.3-70B-Instruct": { alias: "Llama 3.3 70B" },
        "huggingface/openai/gpt-oss-120b": { alias: "GPT-OSS 120B" },
      },
    },
  },
}
```

Config: Multiple Qwen and DeepSeek with policy suffixes

```json5
{
  agents: {
    defaults: {
      model: { primary: "huggingface/Qwen/Qwen2.5-7B-Instruct:cheapest" },
      models: {
        "huggingface/Qwen/Qwen2.5-7B-Instruct": { alias: "Qwen2.5 7B" },
        "huggingface/Qwen/Qwen2.5-7B-Instruct:cheapest": { alias: "Qwen2.5 7B (cheap)" },
        "huggingface/deepseek-ai/DeepSeek-R1:fastest": { alias: "DeepSeek R1 (fast)" },
        "huggingface/meta-llama/Llama-3.1-8B-Instruct": { alias: "Llama 3.1 8B" },
      },
    },
  },
}
```

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