Hugging Face (Inference)

Hugging Face (Inference)

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. CoderClaw 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.

Quick start

1. Create a fine-grained token at Hugging Face → Settings → Tokens with the Make calls to Inference Providers permission.
2. Run onboarding and choose Hugging Face in the provider dropdown, then enter your API key when prompted:

coderclaw onboard --auth-choice huggingface-api-key

3. 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.
4. You can also set or change the default model later in config:

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

Non-interactive example

coderclaw 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.

Environment note

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 ~/.coderclaw/.env or via env.shellEnv).

Model discovery and onboarding dropdown

CoderClaw discovers models by calling the Inference endpoint directly:

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), CoderClaw uses this GET to discover available chat-completion models. During interactive onboarding, 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, CoderClaw 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 and editable options

• 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 → “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:

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

• Provider / policy selection: Append a suffix to the model id to choose how the router picks the backend:

  • :fastest — highest throughput (router picks; provider choice is locked — no interactive backend picker).
  • :cheapest — lowest cost per output token (router picks; provider choice is locked).
  • :provider — force a specific backend (e.g. :sambanova, :together).

  When you select :cheapest or :fastest (e.g. in the onboarding model dropdown), the provider is locked: the router decides by cost or speed and no optional “prefer specific backend” step is shown. 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 order in Inference Provider settings (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.

Model IDs and configuration examples

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.

Example IDs (from the inference endpoint):

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, :cheapest, or :provider (e.g. :together, :sambanova) to the model id. Set your default order in Inference Provider settings; see Inference Providers and GET https://router.huggingface.co/v1/models for the full list.

Complete configuration examples

Primary DeepSeek R1 with Qwen fallback:

{
  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" },
      },
    },
  },
}

Qwen as default, with :cheapest and :fastest variants:

{
  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)" },
      },
    },
  },
}

DeepSeek + Llama + GPT-OSS with aliases:

{
  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" },
      },
    },
  },
}

Force a specific backend with :provider:

{
  agents: {
    defaults: {
      model: { primary: "huggingface/deepseek-ai/DeepSeek-R1:together" },
      models: {
        "huggingface/deepseek-ai/DeepSeek-R1:together": { alias: "DeepSeek R1 (Together)" },
      },
    },
  },
}

Multiple Qwen and DeepSeek models with policy suffixes:

{
  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" },
      },
    },
  },
}