feat(agents) : Hugging Face Inference provider first-class support and Together API fix and Direct Injection Refactor Auths [AI-assisted] (#13472)

* initial commit * removes assesment from docs * resolves automated review comments * resolves lint , type , tests , refactors , and submits * solves : why do we have to lint the tests xD * adds greptile fixes * solves a type error * solves a ci error * refactors auths * solves a failing test after i pulled from main lol * solves a failing test after i pulled from main lol * resolves token naming issue to comply with better practices when using hf / huggingface * fixes curly lints ! * fixes failing tests for google api from main * solve merge conflicts * solve failing tests with a defensive check 'undefined' openrouterapi key * fix: preserve Hugging Face auth-choice intent and token behavior (#13472) (thanks @Josephrp) * test: resolve auth-choice cherry-pick conflict cleanup (#13472) --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Peter Steinberger <steipete@gmail.com>
2026-02-19 18:39:20 -05:00 · 2026-02-13 16:18:16 +01:00
parent e50ce897b0
commit 08b7932df0
27 changed files with 1617 additions and 355 deletions
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -19,6 +19,7 @@ Docs: https://docs.openclaw.ai
 - Sandbox: pass configured `sandbox.docker.env` variables to sandbox containers at `docker create` time. (#15138) Thanks @stevebot-alive.
 - Onboarding/CLI: restore terminal state without resuming paused `stdin`, so onboarding exits cleanly after choosing Web UI and the installer returns instead of appearing stuck.
 - Onboarding/Providers: add vLLM as an onboarding provider with model discovery, auth profile wiring, and non-interactive auth-choice validation. (#12577) Thanks @gejifeng.
+- Onboarding/Providers: preserve Hugging Face auth intent in auth-choice remapping (`tokenProvider=huggingface` with `authChoice=apiKey`) and skip env-override prompts when an explicit token is provided. (#13472) Thanks @Josephrp.
 - macOS Voice Wake: fix a crash in trigger trimming for CJK/Unicode transcripts by matching and slicing on original-string ranges instead of transformed-string indices. (#11052) Thanks @Flash-LHR.
 - Heartbeat: prevent scheduler silent-death races during runner reloads, preserve retry cooldown backoff under wake bursts, and prioritize user/action wake causes over interval/retry reasons when coalescing. (#15108) Thanks @joeykrug.
 - Outbound targets: fail closed for WhatsApp/Twitch/Google Chat fallback paths so invalid or missing targets are dropped instead of rerouted, and align resolver hints with strict target requirements. (#13578) Thanks @mcaxtr.
--- a/docs/concepts/model-providers.md
+++ b/docs/concepts/model-providers.md
@@ -120,6 +120,7 @@ OpenClaw ships with the pi‑ai catalog. These providers require **no**
  - OpenAI-compatible base URL: `https://api.cerebras.ai/v1`.
 - Mistral: `mistral` (`MISTRAL_API_KEY`)
 - GitHub Copilot: `github-copilot` (`COPILOT_GITHUB_TOKEN` / `GH_TOKEN` / `GITHUB_TOKEN`)
+- Hugging Face Inference: `huggingface` (`HUGGINGFACE_HUB_TOKEN` or `HF_TOKEN`) — OpenAI-compatible router; example model: `huggingface/deepseek-ai/DeepSeek-R1`; CLI: `openclaw onboard --auth-choice huggingface-api-key`. See [Hugging Face (Inference)](/providers/huggingface).

 ## Providers via `models.providers` (custom/base URL)

--- a/docs/providers/huggingface.md
+++ b/docs/providers/huggingface.md
@@ -0,0 +1,209 @@
+---
+summary: "Hugging Face Inference setup (auth + model selection)"
+read_when:
+  - You want to use Hugging Face Inference with OpenClaw
+  - You need the HF token env var or CLI auth choice
+title: "Hugging Face (Inference)"
+---
+
+# Hugging Face (Inference)
+
+[Hugging Face Inference Providers](https://huggingface.co/docs/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. OpenClaw uses the **OpenAI-compatible endpoint** (chat completions only); for text-to-image, embeddings, or speech use the [HF inference clients](https://huggingface.co/docs/api-inference/quicktour) 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](https://huggingface.co/docs/inference-providers/pricing) follows provider rates with a free tier.
+
+## Quick start
+
+1. Create a fine-grained token at [Hugging Face → Settings → Tokens](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained) 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:
+
+```bash
+openclaw 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:
+
+```json5
+{
+  agents: {
+    defaults: {
+      model: { primary: "huggingface/deepseek-ai/DeepSeek-R1" },
+    },
+  },
+}
+```
+
+## Non-interactive example
+
+```bash
+openclaw 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 `~/.openclaw/.env` or via
+`env.shellEnv`).
+
+## Model discovery and onboarding dropdown
+
+OpenClaw 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`), OpenClaw 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, OpenClaw 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:
+
+```json5
+{
+  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](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.
+
+## 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](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.
+
+### Complete configuration examples
+
+**Primary 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" },
+      },
+    },
+  },
+}
+```
+
+**Qwen as default, 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)" },
+      },
+    },
+  },
+}
+```
+
+**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" },
+      },
+    },
+  },
+}
+```
+
+**Force a specific backend with :provider:**
+
+```json5
+{
+  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:**
+
+```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" },
+      },
+    },
+  },
+}
+```
--- a/docs/providers/index.md
+++ b/docs/providers/index.md
@@ -51,6 +51,7 @@ See [Venice AI](/providers/venice).
 - [GLM models](/providers/glm)
 - [MiniMax](/providers/minimax)
 - [Venice (Venice AI, privacy-focused)](/providers/venice)
+- [Hugging Face (Inference)](/providers/huggingface)
 - [Ollama (local models)](/providers/ollama)
 - [vLLM (local models)](/providers/vllm)
 - [Qianfan](/providers/qianfan)
--- a/src/agents/huggingface-models.test.ts
+++ b/src/agents/huggingface-models.test.ts
@@ -0,0 +1,44 @@
+import { describe, expect, it } from "vitest";
+import {
+  discoverHuggingfaceModels,
+  HUGGINGFACE_MODEL_CATALOG,
+  buildHuggingfaceModelDefinition,
+  isHuggingfacePolicyLocked,
+} from "./huggingface-models.js";
+
+describe("huggingface-models", () => {
+  it("buildHuggingfaceModelDefinition returns config with required fields", () => {
+    const entry = HUGGINGFACE_MODEL_CATALOG[0];
+    const def = buildHuggingfaceModelDefinition(entry);
+    expect(def.id).toBe(entry.id);
+    expect(def.name).toBe(entry.name);
+    expect(def.reasoning).toBe(entry.reasoning);
+    expect(def.input).toEqual(entry.input);
+    expect(def.cost).toEqual(entry.cost);
+    expect(def.contextWindow).toBe(entry.contextWindow);
+    expect(def.maxTokens).toBe(entry.maxTokens);
+  });
+
+  it("discoverHuggingfaceModels returns static catalog when apiKey is empty", async () => {
+    const models = await discoverHuggingfaceModels("");
+    expect(models).toHaveLength(HUGGINGFACE_MODEL_CATALOG.length);
+    expect(models.map((m) => m.id)).toEqual(HUGGINGFACE_MODEL_CATALOG.map((m) => m.id));
+  });
+
+  it("discoverHuggingfaceModels returns static catalog in test env (VITEST)", async () => {
+    const models = await discoverHuggingfaceModels("hf_test_token");
+    expect(models).toHaveLength(HUGGINGFACE_MODEL_CATALOG.length);
+    expect(models[0].id).toBe("deepseek-ai/DeepSeek-R1");
+  });
+
+  describe("isHuggingfacePolicyLocked", () => {
+    it("returns true for :cheapest and :fastest refs", () => {
+      expect(isHuggingfacePolicyLocked("huggingface/deepseek-ai/DeepSeek-R1:cheapest")).toBe(true);
+      expect(isHuggingfacePolicyLocked("huggingface/deepseek-ai/DeepSeek-R1:fastest")).toBe(true);
+    });
+    it("returns false for base ref and :provider refs", () => {
+      expect(isHuggingfacePolicyLocked("huggingface/deepseek-ai/DeepSeek-R1")).toBe(false);
+      expect(isHuggingfacePolicyLocked("huggingface/foo:together")).toBe(false);
+    });
+  });
+});
--- a/src/agents/huggingface-models.ts
+++ b/src/agents/huggingface-models.ts
@@ -0,0 +1,229 @@
+import type { ModelDefinitionConfig } from "../config/types.models.js";
+
+/** Hugging Face Inference Providers (router) — OpenAI-compatible chat completions. */
+export const HUGGINGFACE_BASE_URL = "https://router.huggingface.co/v1";
+
+/** Router policy suffixes: router picks backend by cost or speed; no specific provider selection. */
+export const HUGGINGFACE_POLICY_SUFFIXES = ["cheapest", "fastest"] as const;
+
+/**
+ * True when the model ref uses :cheapest or :fastest. When true, provider choice is locked
+ * (router decides); do not show an interactive "prefer specific backend" option.
+ */
+export function isHuggingfacePolicyLocked(modelRef: string): boolean {
+  const ref = String(modelRef).trim();
+  return HUGGINGFACE_POLICY_SUFFIXES.some((s) => ref.endsWith(`:${s}`) || ref === s);
+}
+
+/** Default cost when not in static catalog (HF pricing varies by provider). */
+const HUGGINGFACE_DEFAULT_COST = {
+  input: 0,
+  output: 0,
+  cacheRead: 0,
+  cacheWrite: 0,
+};
+
+/** Defaults for models discovered from GET /v1/models. */
+const HUGGINGFACE_DEFAULT_CONTEXT_WINDOW = 131072;
+const HUGGINGFACE_DEFAULT_MAX_TOKENS = 8192;
+
+/**
+ * Shape of a single model entry from GET https://router.huggingface.co/v1/models.
+ * Aligned with the Inference Providers API response (object, data[].id, owned_by, architecture, providers).
+ */
+interface HFModelEntry {
+  id: string;
+  object?: string;
+  created?: number;
+  /** Organisation that owns the model (e.g. "Qwen", "deepseek-ai"). Used for display when name/title absent. */
+  owned_by?: string;
+  /** Display name from API when present (not all responses include this). */
+  name?: string;
+  title?: string;
+  display_name?: string;
+  /** Input/output modalities; we use input_modalities for ModelDefinitionConfig.input. */
+  architecture?: {
+    input_modalities?: string[];
+    output_modalities?: string[];
+    [key: string]: unknown;
+  };
+  /** Backend providers; we use the first provider with context_length when available. */
+  providers?: Array<{
+    provider?: string;
+    context_length?: number;
+    status?: string;
+    pricing?: { input?: number; output?: number; [key: string]: unknown };
+    [key: string]: unknown;
+  }>;
+  [key: string]: unknown;
+}
+
+/** Response shape from GET https://router.huggingface.co/v1/models (OpenAI-style list). */
+interface OpenAIListModelsResponse {
+  object?: string;
+  data?: HFModelEntry[];
+}
+
+export const HUGGINGFACE_MODEL_CATALOG: ModelDefinitionConfig[] = [
+  {
+    id: "deepseek-ai/DeepSeek-R1",
+    name: "DeepSeek R1",
+    reasoning: true,
+    input: ["text"],
+    contextWindow: 131072,
+    maxTokens: 8192,
+    cost: { input: 3.0, output: 7.0, cacheRead: 3.0, cacheWrite: 3.0 },
+  },
+  {
+    id: "deepseek-ai/DeepSeek-V3.1",
+    name: "DeepSeek V3.1",
+    reasoning: false,
+    input: ["text"],
+    contextWindow: 131072,
+    maxTokens: 8192,
+    cost: { input: 0.6, output: 1.25, cacheRead: 0.6, cacheWrite: 0.6 },
+  },
+  {
+    id: "meta-llama/Llama-3.3-70B-Instruct-Turbo",
+    name: "Llama 3.3 70B Instruct Turbo",
+    reasoning: false,
+    input: ["text"],
+    contextWindow: 131072,
+    maxTokens: 8192,
+    cost: { input: 0.88, output: 0.88, cacheRead: 0.88, cacheWrite: 0.88 },
+  },
+  {
+    id: "openai/gpt-oss-120b",
+    name: "GPT-OSS 120B",
+    reasoning: false,
+    input: ["text"],
+    contextWindow: 131072,
+    maxTokens: 8192,
+    cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
+  },
+];
+
+export function buildHuggingfaceModelDefinition(
+  model: (typeof HUGGINGFACE_MODEL_CATALOG)[number],
+): ModelDefinitionConfig {
+  return {
+    id: model.id,
+    name: model.name,
+    reasoning: model.reasoning,
+    input: model.input,
+    cost: model.cost,
+    contextWindow: model.contextWindow,
+    maxTokens: model.maxTokens,
+  };
+}
+
+/**
+ * Infer reasoning and display name from Hub-style model id (e.g. "deepseek-ai/DeepSeek-R1").
+ */
+function inferredMetaFromModelId(id: string): { name: string; reasoning: boolean } {
+  const base = id.split("/").pop() ?? id;
+  const reasoning = /r1|reasoning|thinking|reason/i.test(id) || /-\d+[tb]?-thinking/i.test(base);
+  const name = base.replace(/-/g, " ").replace(/\b(\w)/g, (c) => c.toUpperCase());
+  return { name, reasoning };
+}
+
+/** Prefer API-supplied display name, then owned_by/id, then inferred from id. */
+function displayNameFromApiEntry(entry: HFModelEntry, inferredName: string): string {
+  const fromApi =
+    (typeof entry.name === "string" && entry.name.trim()) ||
+    (typeof entry.title === "string" && entry.title.trim()) ||
+    (typeof entry.display_name === "string" && entry.display_name.trim());
+  if (fromApi) {
+    return fromApi;
+  }
+  if (typeof entry.owned_by === "string" && entry.owned_by.trim()) {
+    const base = entry.id.split("/").pop() ?? entry.id;
+    return `${entry.owned_by.trim()}/${base}`;
+  }
+  return inferredName;
+}
+
+/**
+ * Discover chat-completion models from Hugging Face Inference Providers (GET /v1/models).
+ * Requires a valid HF token. Falls back to static catalog on failure or in test env.
+ */
+export async function discoverHuggingfaceModels(apiKey: string): Promise<ModelDefinitionConfig[]> {
+  if (process.env.VITEST === "true" || process.env.NODE_ENV === "test") {
+    return HUGGINGFACE_MODEL_CATALOG.map(buildHuggingfaceModelDefinition);
+  }
+
+  const trimmedKey = apiKey?.trim();
+  if (!trimmedKey) {
+    return HUGGINGFACE_MODEL_CATALOG.map(buildHuggingfaceModelDefinition);
+  }
+
+  try {
+    // GET https://router.huggingface.co/v1/models — response: { object, data: [{ id, owned_by, architecture: { input_modalities }, providers: [{ provider, context_length?, pricing? }] }] }. POST /v1/chat/completions requires Authorization.
+    const response = await fetch(`${HUGGINGFACE_BASE_URL}/models`, {
+      signal: AbortSignal.timeout(10_000),
+      headers: {
+        Authorization: `Bearer ${trimmedKey}`,
+        "Content-Type": "application/json",
+      },
+    });
+
+    if (!response.ok) {
+      console.warn(
+        `[huggingface-models] GET /v1/models failed: HTTP ${response.status}, using static catalog`,
+      );
+      return HUGGINGFACE_MODEL_CATALOG.map(buildHuggingfaceModelDefinition);
+    }
+
+    const body = (await response.json()) as OpenAIListModelsResponse;
+    const data = body?.data;
+    if (!Array.isArray(data) || data.length === 0) {
+      console.warn("[huggingface-models] No models in response, using static catalog");
+      return HUGGINGFACE_MODEL_CATALOG.map(buildHuggingfaceModelDefinition);
+    }
+
+    const catalogById = new Map(HUGGINGFACE_MODEL_CATALOG.map((m) => [m.id, m] as const));
+    const seen = new Set<string>();
+    const models: ModelDefinitionConfig[] = [];
+
+    for (const entry of data) {
+      const id = typeof entry?.id === "string" ? entry.id.trim() : "";
+      if (!id || seen.has(id)) {
+        continue;
+      }
+      seen.add(id);
+
+      const catalogEntry = catalogById.get(id);
+      if (catalogEntry) {
+        models.push(buildHuggingfaceModelDefinition(catalogEntry));
+      } else {
+        const inferred = inferredMetaFromModelId(id);
+        const name = displayNameFromApiEntry(entry, inferred.name);
+        const modalities = entry.architecture?.input_modalities;
+        const input: Array<"text" | "image"> =
+          Array.isArray(modalities) && modalities.includes("image") ? ["text", "image"] : ["text"];
+        const providers = Array.isArray(entry.providers) ? entry.providers : [];
+        const providerWithContext = providers.find(
+          (p) => typeof p?.context_length === "number" && p.context_length > 0,
+        );
+        const contextLength =
+          providerWithContext?.context_length ?? HUGGINGFACE_DEFAULT_CONTEXT_WINDOW;
+        models.push({
+          id,
+          name,
+          reasoning: inferred.reasoning,
+          input,
+          cost: HUGGINGFACE_DEFAULT_COST,
+          contextWindow: contextLength,
+          maxTokens: HUGGINGFACE_DEFAULT_MAX_TOKENS,
+        });
+      }
+    }
+
+    return models.length > 0
+      ? models
+      : HUGGINGFACE_MODEL_CATALOG.map(buildHuggingfaceModelDefinition);
+  } catch (error) {
+    console.warn(`[huggingface-models] Discovery failed: ${String(error)}, using static catalog`);
+    return HUGGINGFACE_MODEL_CATALOG.map(buildHuggingfaceModelDefinition);
+  }
+}
--- a/src/agents/model-auth.e2e.test.ts
+++ b/src/agents/model-auth.e2e.test.ts
@@ -532,4 +532,79 @@ describe("getApiKeyForModel", () => {
      }
    }
  });
+
+  it("resolveEnvApiKey('huggingface') returns HUGGINGFACE_HUB_TOKEN when set", async () => {
+    const prevHub = process.env.HUGGINGFACE_HUB_TOKEN;
+    const prevHf = process.env.HF_TOKEN;
+    try {
+      delete process.env.HF_TOKEN;
+      process.env.HUGGINGFACE_HUB_TOKEN = "hf_hub_xyz";
+      vi.resetModules();
+      const { resolveEnvApiKey } = await import("./model-auth.js");
+      const resolved = resolveEnvApiKey("huggingface");
+      expect(resolved?.apiKey).toBe("hf_hub_xyz");
+      expect(resolved?.source).toContain("HUGGINGFACE_HUB_TOKEN");
+    } finally {
+      if (prevHub === undefined) {
+        delete process.env.HUGGINGFACE_HUB_TOKEN;
+      } else {
+        process.env.HUGGINGFACE_HUB_TOKEN = prevHub;
+      }
+      if (prevHf === undefined) {
+        delete process.env.HF_TOKEN;
+      } else {
+        process.env.HF_TOKEN = prevHf;
+      }
+    }
+  });
+
+  it("resolveEnvApiKey('huggingface') prefers HUGGINGFACE_HUB_TOKEN over HF_TOKEN when both set", async () => {
+    const prevHub = process.env.HUGGINGFACE_HUB_TOKEN;
+    const prevHf = process.env.HF_TOKEN;
+    try {
+      process.env.HUGGINGFACE_HUB_TOKEN = "hf_hub_first";
+      process.env.HF_TOKEN = "hf_second";
+      vi.resetModules();
+      const { resolveEnvApiKey } = await import("./model-auth.js");
+      const resolved = resolveEnvApiKey("huggingface");
+      expect(resolved?.apiKey).toBe("hf_hub_first");
+      expect(resolved?.source).toContain("HUGGINGFACE_HUB_TOKEN");
+    } finally {
+      if (prevHub === undefined) {
+        delete process.env.HUGGINGFACE_HUB_TOKEN;
+      } else {
+        process.env.HUGGINGFACE_HUB_TOKEN = prevHub;
+      }
+      if (prevHf === undefined) {
+        delete process.env.HF_TOKEN;
+      } else {
+        process.env.HF_TOKEN = prevHf;
+      }
+    }
+  });
+
+  it("resolveEnvApiKey('huggingface') returns HF_TOKEN when only HF_TOKEN set", async () => {
+    const prevHub = process.env.HUGGINGFACE_HUB_TOKEN;
+    const prevHf = process.env.HF_TOKEN;
+    try {
+      delete process.env.HUGGINGFACE_HUB_TOKEN;
+      process.env.HF_TOKEN = "hf_abc123";
+      vi.resetModules();
+      const { resolveEnvApiKey } = await import("./model-auth.js");
+      const resolved = resolveEnvApiKey("huggingface");
+      expect(resolved?.apiKey).toBe("hf_abc123");
+      expect(resolved?.source).toContain("HF_TOKEN");
+    } finally {
+      if (prevHub === undefined) {
+        delete process.env.HUGGINGFACE_HUB_TOKEN;
+      } else {
+        process.env.HUGGINGFACE_HUB_TOKEN = prevHub;
+      }
+      if (prevHf === undefined) {
+        delete process.env.HF_TOKEN;
+      } else {
+        process.env.HF_TOKEN = prevHf;
+      }
+    }
+  });
 });
--- a/src/agents/model-auth.ts
+++ b/src/agents/model-auth.ts
@@ -287,6 +287,10 @@ export function resolveEnvApiKey(provider: string): EnvApiKeyResult | null {
    return pick("KIMI_API_KEY") ?? pick("KIMICODE_API_KEY");
  }

+  if (normalized === "huggingface") {
+    return pick("HUGGINGFACE_HUB_TOKEN") ?? pick("HF_TOKEN");
+  }
+
  const envMap: Record<string, string> = {
    openai: "OPENAI_API_KEY",
    google: "GEMINI_API_KEY",
--- a/src/agents/models-config.providers.ts
+++ b/src/agents/models-config.providers.ts
@@ -10,6 +10,12 @@ import {
  buildCloudflareAiGatewayModelDefinition,
  resolveCloudflareAiGatewayBaseUrl,
 } from "./cloudflare-ai-gateway.js";
+import {
+  discoverHuggingfaceModels,
+  HUGGINGFACE_BASE_URL,
+  HUGGINGFACE_MODEL_CATALOG,
+  buildHuggingfaceModelDefinition,
+} from "./huggingface-models.js";
 import { resolveAwsSdkEnvVarName, resolveEnvApiKey } from "./model-auth.js";
 import {
  buildSyntheticModelDefinition,
@@ -542,6 +548,25 @@ async function buildOllamaProvider(configuredBaseUrl?: string): Promise<Provider
  };
 }

+async function buildHuggingfaceProvider(apiKey?: string): Promise<ProviderConfig> {
+  // Resolve env var name to value for discovery (GET /v1/models requires Bearer token).
+  const resolvedSecret =
+    apiKey?.trim() !== ""
+      ? /^[A-Z][A-Z0-9_]*$/.test(apiKey!.trim())
+        ? (process.env[apiKey!.trim()] ?? "").trim()
+        : apiKey!.trim()
+      : "";
+  const models =
+    resolvedSecret !== ""
+      ? await discoverHuggingfaceModels(resolvedSecret)
+      : HUGGINGFACE_MODEL_CATALOG.map(buildHuggingfaceModelDefinition);
+  return {
+    baseUrl: HUGGINGFACE_BASE_URL,
+    api: "openai-completions",
+    models,
+  };
+}
+
 function buildTogetherProvider(): ProviderConfig {
  return {
    baseUrl: TOGETHER_BASE_URL,
@@ -715,6 +740,17 @@ export async function resolveImplicitProviders(params: {
    };
  }

+  const huggingfaceKey =
+    resolveEnvApiKeyVarName("huggingface") ??
+    resolveApiKeyFromProfiles({ provider: "huggingface", store: authStore });
+  if (huggingfaceKey) {
+    const hfProvider = await buildHuggingfaceProvider(huggingfaceKey);
+    providers.huggingface = {
+      ...hfProvider,
+      apiKey: huggingfaceKey,
+    };
+  }
+
  const qianfanKey =
    resolveEnvApiKeyVarName("qianfan") ??
    resolveApiKeyFromProfiles({ provider: "qianfan", store: authStore });
--- a/src/cli/program/register.onboard.ts
+++ b/src/cli/program/register.onboard.ts
@@ -58,7 +58,8 @@ export function registerOnboardCommand(program: Command) {
    .option("--mode <mode>", "Wizard mode: local|remote")
    .option(
      "--auth-choice <choice>",
-      "Auth: setup-token|token|chutes|vllm|openai-codex|openai-api-key|xai-api-key|qianfan-api-key|openrouter-api-key|litellm-api-key|ai-gateway-api-key|cloudflare-ai-gateway-api-key|moonshot-api-key|moonshot-api-key-cn|kimi-code-api-key|synthetic-api-key|venice-api-key|gemini-api-key|zai-api-key|zai-coding-global|zai-coding-cn|zai-global|zai-cn|xiaomi-api-key|apiKey|minimax-api|minimax-api-lightning|opencode-zen|custom-api-key|skip|together-api-key",
+      "Auth: setup-token|token|chutes|openai-codex|openai-api-key|xai-api-key|qianfan-api-key|openrouter-api-key|litellm-api-key|ai-gateway-api-key|cloudflare-ai-gateway-api-key|moonshot-api-key|moonshot-api-key-cn|kimi-code-api-key|synthetic-api-key|venice-api-key|gemini-api-key|zai-api-key|zai-coding-global|zai-coding-cn|zai-global|zai-cn|xiaomi-api-key|apiKey|minimax-api|minimax-api-lightning|opencode-zen|custom-api-key|skip|together-api-key|huggingface-api-key",
+      "Auth: setup-token|token|chutes|vllm|openai-codex|openai-api-key|xai-api-key|qianfan-api-key|openrouter-api-key|litellm-api-key|ai-gateway-api-key|cloudflare-ai-gateway-api-key|moonshot-api-key|moonshot-api-key-cn|kimi-code-api-key|synthetic-api-key|venice-api-key|gemini-api-key|zai-api-key|zai-coding-global|zai-coding-cn|zai-global|zai-cn|xiaomi-api-key|apiKey|minimax-api|minimax-api-lightning|opencode-zen|custom-api-key|skip|together-api-key|huggingface-api-key",
    )
    .option(
      "--token-provider <id>",
@@ -86,6 +87,7 @@ export function registerOnboardCommand(program: Command) {
    .option("--synthetic-api-key <key>", "Synthetic API key")
    .option("--venice-api-key <key>", "Venice API key")
    .option("--together-api-key <key>", "Together AI API key")
+    .option("--huggingface-api-key <key>", "Hugging Face API key (HF token)")
    .option("--opencode-zen-api-key <key>", "OpenCode Zen API key")
    .option("--xai-api-key <key>", "xAI API key")
    .option("--litellm-api-key <key>", "LiteLLM API key")
@@ -153,6 +155,7 @@ export function registerOnboardCommand(program: Command) {
            syntheticApiKey: opts.syntheticApiKey as string | undefined,
            veniceApiKey: opts.veniceApiKey as string | undefined,
            togetherApiKey: opts.togetherApiKey as string | undefined,
+            huggingfaceApiKey: opts.huggingfaceApiKey as string | undefined,
            opencodeZenApiKey: opts.opencodeZenApiKey as string | undefined,
            xaiApiKey: opts.xaiApiKey as string | undefined,
            litellmApiKey: opts.litellmApiKey as string | undefined,
--- a/src/commands/auth-choice-options.ts
+++ b/src/commands/auth-choice-options.ts
@@ -1,35 +1,13 @@
 import type { AuthProfileStore } from "../agents/auth-profiles.js";
-import type { AuthChoice } from "./onboard-types.js";
+import type { AuthChoice, AuthChoiceGroupId } from "./onboard-types.js";
+
+export type { AuthChoiceGroupId };

 export type AuthChoiceOption = {
  value: AuthChoice;
  label: string;
  hint?: string;
 };
-
-export type AuthChoiceGroupId =
-  | "openai"
-  | "anthropic"
-  | "vllm"
-  | "google"
-  | "copilot"
-  | "openrouter"
-  | "litellm"
-  | "ai-gateway"
-  | "cloudflare-ai-gateway"
-  | "moonshot"
-  | "zai"
-  | "xiaomi"
-  | "opencode-zen"
-  | "minimax"
-  | "synthetic"
-  | "venice"
-  | "qwen"
-  | "together"
-  | "qianfan"
-  | "xai"
-  | "custom";
-
 export type AuthChoiceGroup = {
  value: AuthChoiceGroupId;
  label: string;
@@ -145,6 +123,12 @@ const AUTH_CHOICE_GROUP_DEFS: {
    hint: "API key",
    choices: ["together-api-key"],
  },
+  {
+    value: "huggingface",
+    label: "Hugging Face",
+    hint: "Inference API (HF token)",
+    choices: ["huggingface-api-key"],
+  },
  {
    value: "venice",
    label: "Venice AI",
@@ -238,6 +222,11 @@ export function buildAuthChoiceOptions(params: {
    label: "Together AI API key",
    hint: "Access to Llama, DeepSeek, Qwen, and more open models",
  });
+  options.push({
+    value: "huggingface-api-key",
+    label: "Hugging Face API key (HF token)",
+    hint: "Inference Providers — OpenAI-compatible chat",
+  });
  options.push({
    value: "github-copilot",
    label: "GitHub Copilot (GitHub device login)",
--- a/src/commands/auth-choice.apply.api-providers.ts
+++ b/src/commands/auth-choice.apply.api-providers.ts
@@ -6,6 +6,8 @@ import {
  normalizeApiKeyInput,
  validateApiKeyInput,
 } from "./auth-choice.api-key.js";
+import { applyAuthChoiceHuggingface } from "./auth-choice.apply.huggingface.js";
+import { applyAuthChoiceOpenRouter } from "./auth-choice.apply.openrouter.js";
 import { applyDefaultModelChoice } from "./auth-choice.default-model.js";
 import {
  applyGoogleGeminiModelDefault,
@@ -27,8 +29,6 @@ import {
  applyMoonshotProviderConfigCn,
  applyOpencodeZenConfig,
  applyOpencodeZenProviderConfig,
-  applyOpenrouterConfig,
-  applyOpenrouterProviderConfig,
  applySyntheticConfig,
  applySyntheticProviderConfig,
  applyTogetherConfig,
@@ -46,7 +46,6 @@ import {
  QIANFAN_DEFAULT_MODEL_REF,
  KIMI_CODING_MODEL_REF,
  MOONSHOT_DEFAULT_MODEL_REF,
-  OPENROUTER_DEFAULT_MODEL_REF,
  SYNTHETIC_DEFAULT_MODEL_REF,
  TOGETHER_DEFAULT_MODEL_REF,
  VENICE_DEFAULT_MODEL_REF,
@@ -59,7 +58,6 @@ import {
  setKimiCodingApiKey,
  setMoonshotApiKey,
  setOpencodeZenApiKey,
-  setOpenrouterApiKey,
  setSyntheticApiKey,
  setTogetherApiKey,
  setVeniceApiKey,
@@ -120,6 +118,8 @@ export async function applyAuthChoiceApiProviders(
      authChoice = "venice-api-key";
    } else if (params.opts.tokenProvider === "together") {
      authChoice = "together-api-key";
+    } else if (params.opts.tokenProvider === "huggingface") {
+      authChoice = "huggingface-api-key";
    } else if (params.opts.tokenProvider === "opencode") {
      authChoice = "opencode-zen";
    } else if (params.opts.tokenProvider === "qianfan") {
@@ -128,81 +128,7 @@ export async function applyAuthChoiceApiProviders(
  }

  if (authChoice === "openrouter-api-key") {
-    const store = ensureAuthProfileStore(params.agentDir, {
-      allowKeychainPrompt: false,
-    });
-    const profileOrder = resolveAuthProfileOrder({
-      cfg: nextConfig,
-      store,
-      provider: "openrouter",
-    });
-    const existingProfileId = profileOrder.find((profileId) => Boolean(store.profiles[profileId]));
-    const existingCred = existingProfileId ? store.profiles[existingProfileId] : undefined;
-    let profileId = "openrouter:default";
-    let mode: "api_key" | "oauth" | "token" = "api_key";
-    let hasCredential = false;
-
-    if (existingProfileId && existingCred?.type) {
-      profileId = existingProfileId;
-      mode =
-        existingCred.type === "oauth"
-          ? "oauth"
-          : existingCred.type === "token"
-            ? "token"
-            : "api_key";
-      hasCredential = true;
-    }
-
-    if (!hasCredential && params.opts?.token && params.opts?.tokenProvider === "openrouter") {
-      await setOpenrouterApiKey(normalizeApiKeyInput(params.opts.token), params.agentDir);
-      hasCredential = true;
-    }
-
-    if (!hasCredential) {
-      const envKey = resolveEnvApiKey("openrouter");
-      if (envKey) {
-        const useExisting = await params.prompter.confirm({
-          message: `Use existing OPENROUTER_API_KEY (${envKey.source}, ${formatApiKeyPreview(envKey.apiKey)})?`,
-          initialValue: true,
-        });
-        if (useExisting) {
-          await setOpenrouterApiKey(envKey.apiKey, params.agentDir);
-          hasCredential = true;
-        }
-      }
-    }
-
-    if (!hasCredential) {
-      const key = await params.prompter.text({
-        message: "Enter OpenRouter API key",
-        validate: validateApiKeyInput,
-      });
-      await setOpenrouterApiKey(normalizeApiKeyInput(String(key ?? "")), params.agentDir);
-      hasCredential = true;
-    }
-
-    if (hasCredential) {
-      nextConfig = applyAuthProfileConfig(nextConfig, {
-        profileId,
-        provider: "openrouter",
-        mode,
-      });
-    }
-    {
-      const applied = await applyDefaultModelChoice({
-        config: nextConfig,
-        setDefaultModel: params.setDefaultModel,
-        defaultModel: OPENROUTER_DEFAULT_MODEL_REF,
-        applyDefaultConfig: applyOpenrouterConfig,
-        applyProviderConfig: applyOpenrouterProviderConfig,
-        noteDefault: OPENROUTER_DEFAULT_MODEL_REF,
-        noteAgentModel,
-        prompter: params.prompter,
-      });
-      nextConfig = applied.config;
-      agentModelOverride = applied.agentModelOverride ?? agentModelOverride;
-    }
-    return { config: nextConfig, agentModelOverride };
+    return applyAuthChoiceOpenRouter(params);
  }

  if (authChoice === "litellm-api-key") {
@@ -993,6 +919,10 @@ export async function applyAuthChoiceApiProviders(
    return { config: nextConfig, agentModelOverride };
  }

+  if (authChoice === "huggingface-api-key") {
+    return applyAuthChoiceHuggingface({ ...params, authChoice });
+  }
+
  if (authChoice === "qianfan-api-key") {
    let hasCredential = false;
    if (!hasCredential && params.opts?.token && params.opts?.tokenProvider === "qianfan") {
--- a/src/commands/auth-choice.apply.huggingface.test.ts
+++ b/src/commands/auth-choice.apply.huggingface.test.ts
@@ -0,0 +1,163 @@
+import fs from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+import { afterEach, describe, expect, it, vi } from "vitest";
+import type { RuntimeEnv } from "../runtime.js";
+import type { WizardPrompter } from "../wizard/prompts.js";
+import { applyAuthChoiceHuggingface } from "./auth-choice.apply.huggingface.js";
+
+const noopAsync = async () => {};
+const noop = () => {};
+const authProfilePathFor = (agentDir: string) => path.join(agentDir, "auth-profiles.json");
+
+describe("applyAuthChoiceHuggingface", () => {
+  const previousAgentDir = process.env.OPENCLAW_AGENT_DIR;
+  const previousHfToken = process.env.HF_TOKEN;
+  const previousHubToken = process.env.HUGGINGFACE_HUB_TOKEN;
+  let tempStateDir: string | null = null;
+
+  afterEach(async () => {
+    if (tempStateDir) {
+      await fs.rm(tempStateDir, { recursive: true, force: true });
+      tempStateDir = null;
+    }
+    if (previousAgentDir === undefined) {
+      delete process.env.OPENCLAW_AGENT_DIR;
+    } else {
+      process.env.OPENCLAW_AGENT_DIR = previousAgentDir;
+    }
+    if (previousHfToken === undefined) {
+      delete process.env.HF_TOKEN;
+    } else {
+      process.env.HF_TOKEN = previousHfToken;
+    }
+    if (previousHubToken === undefined) {
+      delete process.env.HUGGINGFACE_HUB_TOKEN;
+    } else {
+      process.env.HUGGINGFACE_HUB_TOKEN = previousHubToken;
+    }
+  });
+
+  it("returns null when authChoice is not huggingface-api-key", async () => {
+    const result = await applyAuthChoiceHuggingface({
+      authChoice: "openrouter-api-key",
+      config: {},
+      prompter: {} as WizardPrompter,
+      runtime: {} as RuntimeEnv,
+      setDefaultModel: false,
+    });
+    expect(result).toBeNull();
+  });
+
+  it("prompts for key and model, then writes config and auth profile", async () => {
+    tempStateDir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-hf-"));
+    const agentDir = path.join(tempStateDir, "agent");
+    process.env.OPENCLAW_AGENT_DIR = agentDir;
+    await fs.mkdir(agentDir, { recursive: true });
+
+    const text = vi.fn().mockResolvedValue("hf-test-token");
+    const select: WizardPrompter["select"] = vi.fn(
+      async (params) => params.options?.[0]?.value as never,
+    );
+    const prompter: WizardPrompter = {
+      intro: vi.fn(noopAsync),
+      outro: vi.fn(noopAsync),
+      note: vi.fn(noopAsync),
+      select,
+      multiselect: vi.fn(async () => []),
+      text,
+      confirm: vi.fn(async () => false),
+      progress: vi.fn(() => ({ update: noop, stop: noop })),
+    };
+    const runtime: RuntimeEnv = {
+      log: vi.fn(),
+      error: vi.fn(),
+      exit: vi.fn((code: number) => {
+        throw new Error(`exit:${code}`);
+      }),
+    };
+
+    const result = await applyAuthChoiceHuggingface({
+      authChoice: "huggingface-api-key",
+      config: {},
+      prompter,
+      runtime,
+      setDefaultModel: true,
+    });
+
+    expect(result).not.toBeNull();
+    expect(result?.config.auth?.profiles?.["huggingface:default"]).toMatchObject({
+      provider: "huggingface",
+      mode: "api_key",
+    });
+    expect(result?.config.agents?.defaults?.model?.primary).toMatch(/^huggingface\/.+/);
+    expect(text).toHaveBeenCalledWith(
+      expect.objectContaining({ message: expect.stringContaining("Hugging Face") }),
+    );
+    expect(select).toHaveBeenCalledWith(
+      expect.objectContaining({ message: "Default Hugging Face model" }),
+    );
+
+    const authProfilePath = authProfilePathFor(agentDir);
+    const raw = await fs.readFile(authProfilePath, "utf8");
+    const parsed = JSON.parse(raw) as {
+      profiles?: Record<string, { key?: string }>;
+    };
+    expect(parsed.profiles?.["huggingface:default"]?.key).toBe("hf-test-token");
+  });
+
+  it("does not prompt to reuse env token when opts.token already provided", async () => {
+    tempStateDir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-hf-"));
+    const agentDir = path.join(tempStateDir, "agent");
+    process.env.OPENCLAW_AGENT_DIR = agentDir;
+    process.env.HF_TOKEN = "hf-env-token";
+    delete process.env.HUGGINGFACE_HUB_TOKEN;
+    await fs.mkdir(agentDir, { recursive: true });
+
+    const text = vi.fn().mockResolvedValue("hf-text-token");
+    const select: WizardPrompter["select"] = vi.fn(
+      async (params) => params.options?.[0]?.value as never,
+    );
+    const confirm = vi.fn(async () => true);
+    const prompter: WizardPrompter = {
+      intro: vi.fn(noopAsync),
+      outro: vi.fn(noopAsync),
+      note: vi.fn(noopAsync),
+      select,
+      multiselect: vi.fn(async () => []),
+      text,
+      confirm,
+      progress: vi.fn(() => ({ update: noop, stop: noop })),
+    };
+    const runtime: RuntimeEnv = {
+      log: vi.fn(),
+      error: vi.fn(),
+      exit: vi.fn((code: number) => {
+        throw new Error(`exit:${code}`);
+      }),
+    };
+
+    const result = await applyAuthChoiceHuggingface({
+      authChoice: "huggingface-api-key",
+      config: {},
+      prompter,
+      runtime,
+      setDefaultModel: true,
+      opts: {
+        tokenProvider: "huggingface",
+        token: "hf-opts-token",
+      },
+    });
+
+    expect(result).not.toBeNull();
+    expect(confirm).not.toHaveBeenCalled();
+    expect(text).not.toHaveBeenCalled();
+
+    const authProfilePath = authProfilePathFor(agentDir);
+    const raw = await fs.readFile(authProfilePath, "utf8");
+    const parsed = JSON.parse(raw) as {
+      profiles?: Record<string, { key?: string }>;
+    };
+    expect(parsed.profiles?.["huggingface:default"]?.key).toBe("hf-opts-token");
+  });
+});
--- a/src/commands/auth-choice.apply.huggingface.ts
+++ b/src/commands/auth-choice.apply.huggingface.ts
@@ -0,0 +1,165 @@
+import type { ApplyAuthChoiceParams, ApplyAuthChoiceResult } from "./auth-choice.apply.js";
+import {
+  discoverHuggingfaceModels,
+  isHuggingfacePolicyLocked,
+} from "../agents/huggingface-models.js";
+import { resolveEnvApiKey } from "../agents/model-auth.js";
+import {
+  formatApiKeyPreview,
+  normalizeApiKeyInput,
+  validateApiKeyInput,
+} from "./auth-choice.api-key.js";
+import { applyDefaultModelChoice } from "./auth-choice.default-model.js";
+import { ensureModelAllowlistEntry } from "./model-allowlist.js";
+import {
+  applyAuthProfileConfig,
+  applyHuggingfaceProviderConfig,
+  setHuggingfaceApiKey,
+  HUGGINGFACE_DEFAULT_MODEL_REF,
+} from "./onboard-auth.js";
+
+export async function applyAuthChoiceHuggingface(
+  params: ApplyAuthChoiceParams,
+): Promise<ApplyAuthChoiceResult | null> {
+  if (params.authChoice !== "huggingface-api-key") {
+    return null;
+  }
+
+  let nextConfig = params.config;
+  let agentModelOverride: string | undefined;
+  const noteAgentModel = async (model: string) => {
+    if (!params.agentId) {
+      return;
+    }
+    await params.prompter.note(
+      `Default model set to ${model} for agent "${params.agentId}".`,
+      "Model configured",
+    );
+  };
+
+  let hasCredential = false;
+  let hfKey = "";
+
+  if (!hasCredential && params.opts?.token && params.opts.tokenProvider === "huggingface") {
+    hfKey = normalizeApiKeyInput(params.opts.token);
+    await setHuggingfaceApiKey(hfKey, params.agentDir);
+    hasCredential = true;
+  }
+
+  if (!hasCredential) {
+    await params.prompter.note(
+      [
+        "Hugging Face Inference Providers offer OpenAI-compatible chat completions.",
+        "Create a token at: https://huggingface.co/settings/tokens (fine-grained, 'Make calls to Inference Providers').",
+      ].join("\n"),
+      "Hugging Face",
+    );
+  }
+
+  if (!hasCredential) {
+    const envKey = resolveEnvApiKey("huggingface");
+    if (envKey) {
+      const useExisting = await params.prompter.confirm({
+        message: `Use existing Hugging Face token (${envKey.source}, ${formatApiKeyPreview(envKey.apiKey)})?`,
+        initialValue: true,
+      });
+      if (useExisting) {
+        hfKey = envKey.apiKey;
+        await setHuggingfaceApiKey(hfKey, params.agentDir);
+        hasCredential = true;
+      }
+    }
+  }
+  if (!hasCredential) {
+    const key = await params.prompter.text({
+      message: "Enter Hugging Face API key (HF token)",
+      validate: validateApiKeyInput,
+    });
+    hfKey = normalizeApiKeyInput(String(key ?? ""));
+    await setHuggingfaceApiKey(hfKey, params.agentDir);
+  }
+  nextConfig = applyAuthProfileConfig(nextConfig, {
+    profileId: "huggingface:default",
+    provider: "huggingface",
+    mode: "api_key",
+  });
+
+  const models = await discoverHuggingfaceModels(hfKey);
+  const modelRefPrefix = "huggingface/";
+  const options: { value: string; label: string }[] = [];
+  for (const m of models) {
+    const baseRef = `${modelRefPrefix}${m.id}`;
+    const label = m.name ?? m.id;
+    options.push({ value: baseRef, label });
+    options.push({ value: `${baseRef}:cheapest`, label: `${label} (cheapest)` });
+    options.push({ value: `${baseRef}:fastest`, label: `${label} (fastest)` });
+  }
+  const defaultRef = HUGGINGFACE_DEFAULT_MODEL_REF;
+  options.sort((a, b) => {
+    if (a.value === defaultRef) {
+      return -1;
+    }
+    if (b.value === defaultRef) {
+      return 1;
+    }
+    return a.label.localeCompare(b.label, undefined, { sensitivity: "base" });
+  });
+  const selectedModelRef =
+    options.length === 0
+      ? defaultRef
+      : options.length === 1
+        ? options[0].value
+        : await params.prompter.select({
+            message: "Default Hugging Face model",
+            options,
+            initialValue: options.some((o) => o.value === defaultRef)
+              ? defaultRef
+              : options[0].value,
+          });
+
+  if (isHuggingfacePolicyLocked(selectedModelRef)) {
+    await params.prompter.note(
+      "Provider locked — router will choose backend by cost or speed.",
+      "Hugging Face",
+    );
+  }
+
+  const applied = await applyDefaultModelChoice({
+    config: nextConfig,
+    setDefaultModel: params.setDefaultModel,
+    defaultModel: selectedModelRef,
+    applyDefaultConfig: (config) => {
+      const withProvider = applyHuggingfaceProviderConfig(config);
+      const existingModel = withProvider.agents?.defaults?.model;
+      const withPrimary = {
+        ...withProvider,
+        agents: {
+          ...withProvider.agents,
+          defaults: {
+            ...withProvider.agents?.defaults,
+            model: {
+              ...(existingModel && typeof existingModel === "object" && "fallbacks" in existingModel
+                ? {
+                    fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
+                  }
+                : {}),
+              primary: selectedModelRef,
+            },
+          },
+        },
+      };
+      return ensureModelAllowlistEntry({
+        cfg: withPrimary,
+        modelRef: selectedModelRef,
+      });
+    },
+    applyProviderConfig: applyHuggingfaceProviderConfig,
+    noteDefault: selectedModelRef,
+    noteAgentModel,
+    prompter: params.prompter,
+  });
+  nextConfig = applied.config;
+  agentModelOverride = applied.agentModelOverride ?? agentModelOverride;
+
+  return { config: nextConfig, agentModelOverride };
+}
--- a/src/commands/auth-choice.apply.openrouter.ts
+++ b/src/commands/auth-choice.apply.openrouter.ts
@@ -0,0 +1,102 @@
+import type { ApplyAuthChoiceParams, ApplyAuthChoiceResult } from "./auth-choice.apply.js";
+import { ensureAuthProfileStore, resolveAuthProfileOrder } from "../agents/auth-profiles.js";
+import { resolveEnvApiKey } from "../agents/model-auth.js";
+import {
+  formatApiKeyPreview,
+  normalizeApiKeyInput,
+  validateApiKeyInput,
+} from "./auth-choice.api-key.js";
+import { applyDefaultModelChoice } from "./auth-choice.default-model.js";
+import {
+  applyAuthProfileConfig,
+  applyOpenrouterConfig,
+  applyOpenrouterProviderConfig,
+  setOpenrouterApiKey,
+  OPENROUTER_DEFAULT_MODEL_REF,
+} from "./onboard-auth.js";
+
+export async function applyAuthChoiceOpenRouter(
+  params: ApplyAuthChoiceParams,
+): Promise<ApplyAuthChoiceResult> {
+  let nextConfig = params.config;
+  let agentModelOverride: string | undefined;
+  const noteAgentModel = async (model: string) => {
+    if (!params.agentId) {
+      return;
+    }
+    await params.prompter.note(
+      `Default model set to ${model} for agent "${params.agentId}".`,
+      "Model configured",
+    );
+  };
+
+  const store = ensureAuthProfileStore(params.agentDir, { allowKeychainPrompt: false });
+  const profileOrder = resolveAuthProfileOrder({
+    cfg: nextConfig,
+    store,
+    provider: "openrouter",
+  });
+  const existingProfileId = profileOrder.find((profileId) => Boolean(store.profiles[profileId]));
+  const existingCred = existingProfileId ? store.profiles[existingProfileId] : undefined;
+  let profileId = "openrouter:default";
+  let mode: "api_key" | "oauth" | "token" = "api_key";
+  let hasCredential = false;
+
+  if (existingProfileId && existingCred?.type) {
+    profileId = existingProfileId;
+    mode =
+      existingCred.type === "oauth" ? "oauth" : existingCred.type === "token" ? "token" : "api_key";
+    hasCredential = true;
+  }
+
+  if (!hasCredential && params.opts?.token && params.opts?.tokenProvider === "openrouter") {
+    await setOpenrouterApiKey(normalizeApiKeyInput(params.opts.token), params.agentDir);
+    hasCredential = true;
+  }
+
+  if (!hasCredential) {
+    const envKey = resolveEnvApiKey("openrouter");
+    if (envKey) {
+      const useExisting = await params.prompter.confirm({
+        message: `Use existing OPENROUTER_API_KEY (${envKey.source}, ${formatApiKeyPreview(envKey.apiKey)})?`,
+        initialValue: true,
+      });
+      if (useExisting) {
+        await setOpenrouterApiKey(envKey.apiKey, params.agentDir);
+        hasCredential = true;
+      }
+    }
+  }
+
+  if (!hasCredential) {
+    const key = await params.prompter.text({
+      message: "Enter OpenRouter API key",
+      validate: validateApiKeyInput,
+    });
+    await setOpenrouterApiKey(normalizeApiKeyInput(String(key ?? "")), params.agentDir);
+    hasCredential = true;
+  }
+
+  if (hasCredential) {
+    nextConfig = applyAuthProfileConfig(nextConfig, {
+      profileId,
+      provider: "openrouter",
+      mode,
+    });
+  }
+
+  const applied = await applyDefaultModelChoice({
+    config: nextConfig,
+    setDefaultModel: params.setDefaultModel,
+    defaultModel: OPENROUTER_DEFAULT_MODEL_REF,
+    applyDefaultConfig: applyOpenrouterConfig,
+    applyProviderConfig: applyOpenrouterProviderConfig,
+    noteDefault: OPENROUTER_DEFAULT_MODEL_REF,
+    noteAgentModel,
+    prompter: params.prompter,
+  });
+  nextConfig = applied.config;
+  agentModelOverride = applied.agentModelOverride ?? agentModelOverride;
+
+  return { config: nextConfig, agentModelOverride };
+}
--- a/src/commands/auth-choice.e2e.test.ts
+++ b/src/commands/auth-choice.e2e.test.ts
@@ -34,6 +34,8 @@ describe("applyAuthChoice", () => {
  const previousPiAgentDir = process.env.PI_CODING_AGENT_DIR;
  const previousAnthropicKey = process.env.ANTHROPIC_API_KEY;
  const previousOpenrouterKey = process.env.OPENROUTER_API_KEY;
+  const previousHfToken = process.env.HF_TOKEN;
+  const previousHfHubToken = process.env.HUGGINGFACE_HUB_TOKEN;
  const previousLitellmKey = process.env.LITELLM_API_KEY;
  const previousAiGatewayKey = process.env.AI_GATEWAY_API_KEY;
  const previousCloudflareGatewayKey = process.env.CLOUDFLARE_AI_GATEWAY_API_KEY;
@@ -73,6 +75,16 @@ describe("applyAuthChoice", () => {
    } else {
      process.env.OPENROUTER_API_KEY = previousOpenrouterKey;
    }
+    if (previousHfToken === undefined) {
+      delete process.env.HF_TOKEN;
+    } else {
+      process.env.HF_TOKEN = previousHfToken;
+    }
+    if (previousHfHubToken === undefined) {
+      delete process.env.HUGGINGFACE_HUB_TOKEN;
+    } else {
+      process.env.HUGGINGFACE_HUB_TOKEN = previousHfHubToken;
+    }
    if (previousLitellmKey === undefined) {
      delete process.env.LITELLM_API_KEY;
    } else {
@@ -206,6 +218,60 @@ describe("applyAuthChoice", () => {
    expect(parsed.profiles?.["synthetic:default"]?.key).toBe("sk-synthetic-test");
  });

+  it("prompts and writes Hugging Face API key when selecting huggingface-api-key", async () => {
+    tempStateDir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-auth-"));
+    process.env.OPENCLAW_STATE_DIR = tempStateDir;
+    process.env.OPENCLAW_AGENT_DIR = path.join(tempStateDir, "agent");
+    process.env.PI_CODING_AGENT_DIR = process.env.OPENCLAW_AGENT_DIR;
+
+    const text = vi.fn().mockResolvedValue("hf-test-token");
+    const select: WizardPrompter["select"] = vi.fn(
+      async (params) => params.options[0]?.value as never,
+    );
+    const multiselect: WizardPrompter["multiselect"] = vi.fn(async () => []);
+    const prompter: WizardPrompter = {
+      intro: vi.fn(noopAsync),
+      outro: vi.fn(noopAsync),
+      note: vi.fn(noopAsync),
+      select,
+      multiselect,
+      text,
+      confirm: vi.fn(async () => false),
+      progress: vi.fn(() => ({ update: noop, stop: noop })),
+    };
+    const runtime: RuntimeEnv = {
+      log: vi.fn(),
+      error: vi.fn(),
+      exit: vi.fn((code: number) => {
+        throw new Error(`exit:${code}`);
+      }),
+    };
+
+    const result = await applyAuthChoice({
+      authChoice: "huggingface-api-key",
+      config: {},
+      prompter,
+      runtime,
+      setDefaultModel: true,
+    });
+
+    expect(text).toHaveBeenCalledWith(
+      expect.objectContaining({ message: expect.stringContaining("Hugging Face") }),
+    );
+    expect(result.config.auth?.profiles?.["huggingface:default"]).toMatchObject({
+      provider: "huggingface",
+      mode: "api_key",
+    });
+    expect(result.config.agents?.defaults?.model?.primary).toMatch(/^huggingface\/.+/);
+
+    const authProfilePath = authProfilePathFor(requireAgentDir());
+    const raw = await fs.readFile(authProfilePath, "utf8");
+    const parsed = JSON.parse(raw) as {
+      profiles?: Record<string, { key?: string }>;
+    };
+    expect(parsed.profiles?.["huggingface:default"]?.key).toBe("hf-test-token");
+  });
+
  it("prompts for Z.AI endpoint when selecting zai-api-key", async () => {
    tempStateDir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-auth-"));
    process.env.OPENCLAW_STATE_DIR = tempStateDir;
@@ -301,6 +367,64 @@ describe("applyAuthChoice", () => {
    expect(result.config.models?.providers?.zai?.baseUrl).toBe(ZAI_CODING_GLOBAL_BASE_URL);
  });

+  it("maps apiKey + tokenProvider=huggingface to huggingface-api-key flow", async () => {
+    tempStateDir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-auth-"));
+    process.env.OPENCLAW_STATE_DIR = tempStateDir;
+    process.env.OPENCLAW_AGENT_DIR = path.join(tempStateDir, "agent");
+    process.env.PI_CODING_AGENT_DIR = process.env.OPENCLAW_AGENT_DIR;
+    delete process.env.HF_TOKEN;
+    delete process.env.HUGGINGFACE_HUB_TOKEN;
+
+    const text = vi.fn().mockResolvedValue("should-not-be-used");
+    const select: WizardPrompter["select"] = vi.fn(
+      async (params) => params.options[0]?.value as never,
+    );
+    const multiselect: WizardPrompter["multiselect"] = vi.fn(async () => []);
+    const confirm = vi.fn(async () => false);
+    const prompter: WizardPrompter = {
+      intro: vi.fn(noopAsync),
+      outro: vi.fn(noopAsync),
+      note: vi.fn(noopAsync),
+      select,
+      multiselect,
+      text,
+      confirm,
+      progress: vi.fn(() => ({ update: noop, stop: noop })),
+    };
+    const runtime: RuntimeEnv = {
+      log: vi.fn(),
+      error: vi.fn(),
+      exit: vi.fn((code: number) => {
+        throw new Error(`exit:${code}`);
+      }),
+    };
+
+    const result = await applyAuthChoice({
+      authChoice: "apiKey",
+      config: {},
+      prompter,
+      runtime,
+      setDefaultModel: true,
+      opts: {
+        tokenProvider: "huggingface",
+        token: "hf-token-provider-test",
+      },
+    });
+
+    expect(result.config.auth?.profiles?.["huggingface:default"]).toMatchObject({
+      provider: "huggingface",
+      mode: "api_key",
+    });
+    expect(result.config.agents?.defaults?.model?.primary).toMatch(/^huggingface\/.+/);
+    expect(text).not.toHaveBeenCalled();
+
+    const authProfilePath = authProfilePathFor(requireAgentDir());
+    const raw = await fs.readFile(authProfilePath, "utf8");
+    const parsed = JSON.parse(raw) as {
+      profiles?: Record<string, { key?: string }>;
+    };
+    expect(parsed.profiles?.["huggingface:default"]?.key).toBe("hf-token-provider-test");
+  });
  it("does not override the global default model when selecting xai-api-key without setDefaultModel", async () => {
    tempStateDir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-auth-"));
    process.env.OPENCLAW_STATE_DIR = tempStateDir;
--- a/src/commands/auth-choice.preferred-provider.ts
+++ b/src/commands/auth-choice.preferred-provider.ts
@@ -29,6 +29,7 @@ const PREFERRED_PROVIDER_BY_AUTH_CHOICE: Partial<Record<AuthChoice, string>> = {
  "synthetic-api-key": "synthetic",
  "venice-api-key": "venice",
  "together-api-key": "together",
+  "huggingface-api-key": "huggingface",
  "github-copilot": "github-copilot",
  "copilot-proxy": "copilot-proxy",
  "minimax-cloud": "minimax",
--- a/src/commands/onboard-auth.config-core.ts
+++ b/src/commands/onboard-auth.config-core.ts
@@ -1,9 +1,10 @@
 import type { OpenClawConfig } from "../config/config.js";
 import type { ModelApi } from "../config/types.models.js";
 import {
-  buildCloudflareAiGatewayModelDefinition,
-  resolveCloudflareAiGatewayBaseUrl,
-} from "../agents/cloudflare-ai-gateway.js";
+  buildHuggingfaceModelDefinition,
+  HUGGINGFACE_BASE_URL,
+  HUGGINGFACE_MODEL_CATALOG,
+} from "../agents/huggingface-models.js";
 import {
  buildQianfanProvider,
  buildXiaomiProvider,
@@ -28,15 +29,25 @@ import {
  VENICE_MODEL_CATALOG,
 } from "../agents/venice-models.js";
 import {
-  CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF,
-  LITELLM_DEFAULT_MODEL_REF,
+  HUGGINGFACE_DEFAULT_MODEL_REF,
  OPENROUTER_DEFAULT_MODEL_REF,
  TOGETHER_DEFAULT_MODEL_REF,
-  VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF,
  XIAOMI_DEFAULT_MODEL_REF,
  ZAI_DEFAULT_MODEL_REF,
  XAI_DEFAULT_MODEL_REF,
 } from "./onboard-auth.credentials.js";
+export {
+  applyCloudflareAiGatewayConfig,
+  applyCloudflareAiGatewayProviderConfig,
+  applyVercelAiGatewayConfig,
+  applyVercelAiGatewayProviderConfig,
+} from "./onboard-auth.config-gateways.js";
+export {
+  applyLitellmConfig,
+  applyLitellmProviderConfig,
+  LITELLM_BASE_URL,
+  LITELLM_DEFAULT_MODEL_ID,
+} from "./onboard-auth.config-litellm.js";
 import {
  buildZaiModelDefinition,
  buildMoonshotModelDefinition,
@@ -170,139 +181,6 @@ export function applyOpenrouterProviderConfig(cfg: OpenClawConfig): OpenClawConf
  };
 }

-export function applyVercelAiGatewayProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
-  const models = { ...cfg.agents?.defaults?.models };
-  models[VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF] = {
-    ...models[VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF],
-    alias: models[VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF]?.alias ?? "Vercel AI Gateway",
-  };
-
-  return {
-    ...cfg,
-    agents: {
-      ...cfg.agents,
-      defaults: {
-        ...cfg.agents?.defaults,
-        models,
-      },
-    },
-  };
-}
-
-export function applyCloudflareAiGatewayProviderConfig(
-  cfg: OpenClawConfig,
-  params?: { accountId?: string; gatewayId?: string },
-): OpenClawConfig {
-  const models = { ...cfg.agents?.defaults?.models };
-  models[CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF] = {
-    ...models[CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF],
-    alias: models[CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF]?.alias ?? "Cloudflare AI Gateway",
-  };
-
-  const providers = { ...cfg.models?.providers };
-  const existingProvider = providers["cloudflare-ai-gateway"];
-  const existingModels = Array.isArray(existingProvider?.models) ? existingProvider.models : [];
-  const defaultModel = buildCloudflareAiGatewayModelDefinition();
-  const hasDefaultModel = existingModels.some((model) => model.id === defaultModel.id);
-  const mergedModels = hasDefaultModel ? existingModels : [...existingModels, defaultModel];
-  const baseUrl =
-    params?.accountId && params?.gatewayId
-      ? resolveCloudflareAiGatewayBaseUrl({
-          accountId: params.accountId,
-          gatewayId: params.gatewayId,
-        })
-      : existingProvider?.baseUrl;
-
-  if (!baseUrl) {
-    return {
-      ...cfg,
-      agents: {
-        ...cfg.agents,
-        defaults: {
-          ...cfg.agents?.defaults,
-          models,
-        },
-      },
-    };
-  }
-
-  const { apiKey: existingApiKey, ...existingProviderRest } = (existingProvider ?? {}) as Record<
-    string,
-    unknown
-  > as { apiKey?: string };
-  const resolvedApiKey = typeof existingApiKey === "string" ? existingApiKey : undefined;
-  const normalizedApiKey = resolvedApiKey?.trim();
-  providers["cloudflare-ai-gateway"] = {
-    ...existingProviderRest,
-    baseUrl,
-    api: "anthropic-messages",
-    ...(normalizedApiKey ? { apiKey: normalizedApiKey } : {}),
-    models: mergedModels.length > 0 ? mergedModels : [defaultModel],
-  };
-
-  return {
-    ...cfg,
-    agents: {
-      ...cfg.agents,
-      defaults: {
-        ...cfg.agents?.defaults,
-        models,
-      },
-    },
-    models: {
-      mode: cfg.models?.mode ?? "merge",
-      providers,
-    },
-  };
-}
-
-export function applyVercelAiGatewayConfig(cfg: OpenClawConfig): OpenClawConfig {
-  const next = applyVercelAiGatewayProviderConfig(cfg);
-  const existingModel = next.agents?.defaults?.model;
-  return {
-    ...next,
-    agents: {
-      ...next.agents,
-      defaults: {
-        ...next.agents?.defaults,
-        model: {
-          ...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
-            ? {
-                fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
-              }
-            : undefined),
-          primary: VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF,
-        },
-      },
-    },
-  };
-}
-
-export function applyCloudflareAiGatewayConfig(
-  cfg: OpenClawConfig,
-  params?: { accountId?: string; gatewayId?: string },
-): OpenClawConfig {
-  const next = applyCloudflareAiGatewayProviderConfig(cfg, params);
-  const existingModel = next.agents?.defaults?.model;
-  return {
-    ...next,
-    agents: {
-      ...next.agents,
-      defaults: {
-        ...next.agents?.defaults,
-        model: {
-          ...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
-            ? {
-                fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
-              }
-            : undefined),
-          primary: CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF,
-        },
-      },
-    },
-  };
-}
-
 export function applyOpenrouterConfig(cfg: OpenClawConfig): OpenClawConfig {
  const next = applyOpenrouterProviderConfig(cfg);
  const existingModel = next.agents?.defaults?.model;
@@ -325,105 +203,6 @@ export function applyOpenrouterConfig(cfg: OpenClawConfig): OpenClawConfig {
  };
 }

-export const LITELLM_BASE_URL = "http://localhost:4000";
-export const LITELLM_DEFAULT_MODEL_ID = "claude-opus-4-6";
-const LITELLM_DEFAULT_CONTEXT_WINDOW = 128_000;
-const LITELLM_DEFAULT_MAX_TOKENS = 8_192;
-const LITELLM_DEFAULT_COST = {
-  input: 0,
-  output: 0,
-  cacheRead: 0,
-  cacheWrite: 0,
-};
-
-function buildLitellmModelDefinition(): {
-  id: string;
-  name: string;
-  reasoning: boolean;
-  input: Array<"text" | "image">;
-  cost: { input: number; output: number; cacheRead: number; cacheWrite: number };
-  contextWindow: number;
-  maxTokens: number;
-} {
-  return {
-    id: LITELLM_DEFAULT_MODEL_ID,
-    name: "Claude Opus 4.6",
-    reasoning: true,
-    input: ["text", "image"],
-    // LiteLLM routes to many upstreams; keep neutral placeholders.
-    cost: LITELLM_DEFAULT_COST,
-    contextWindow: LITELLM_DEFAULT_CONTEXT_WINDOW,
-    maxTokens: LITELLM_DEFAULT_MAX_TOKENS,
-  };
-}
-
-export function applyLitellmProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
-  const models = { ...cfg.agents?.defaults?.models };
-  models[LITELLM_DEFAULT_MODEL_REF] = {
-    ...models[LITELLM_DEFAULT_MODEL_REF],
-    alias: models[LITELLM_DEFAULT_MODEL_REF]?.alias ?? "LiteLLM",
-  };
-
-  const providers = { ...cfg.models?.providers };
-  const existingProvider = providers.litellm;
-  const existingModels = Array.isArray(existingProvider?.models) ? existingProvider.models : [];
-  const defaultModel = buildLitellmModelDefinition();
-  const hasDefaultModel = existingModels.some((model) => model.id === LITELLM_DEFAULT_MODEL_ID);
-  const mergedModels = hasDefaultModel ? existingModels : [...existingModels, defaultModel];
-  const { apiKey: existingApiKey, ...existingProviderRest } = (existingProvider ?? {}) as Record<
-    string,
-    unknown
-  > as { apiKey?: string };
-  const resolvedBaseUrl =
-    typeof existingProvider?.baseUrl === "string" ? existingProvider.baseUrl.trim() : "";
-  const resolvedApiKey = typeof existingApiKey === "string" ? existingApiKey : undefined;
-  const normalizedApiKey = resolvedApiKey?.trim();
-  providers.litellm = {
-    ...existingProviderRest,
-    baseUrl: resolvedBaseUrl || LITELLM_BASE_URL,
-    api: "openai-completions",
-    ...(normalizedApiKey ? { apiKey: normalizedApiKey } : {}),
-    models: mergedModels.length > 0 ? mergedModels : [defaultModel],
-  };
-
-  return {
-    ...cfg,
-    agents: {
-      ...cfg.agents,
-      defaults: {
-        ...cfg.agents?.defaults,
-        models,
-      },
-    },
-    models: {
-      mode: cfg.models?.mode ?? "merge",
-      providers,
-    },
-  };
-}
-
-export function applyLitellmConfig(cfg: OpenClawConfig): OpenClawConfig {
-  const next = applyLitellmProviderConfig(cfg);
-  const existingModel = next.agents?.defaults?.model;
-  return {
-    ...next,
-    agents: {
-      ...next.agents,
-      defaults: {
-        ...next.agents?.defaults,
-        model: {
-          ...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
-            ? {
-                fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
-              }
-            : undefined),
-          primary: LITELLM_DEFAULT_MODEL_REF,
-        },
-      },
-    },
-  };
-}
-
 export function applyMoonshotProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
  return applyMoonshotProviderConfigWithBaseUrl(cfg, MOONSHOT_BASE_URL);
 }
@@ -855,6 +634,79 @@ export function applyTogetherConfig(cfg: OpenClawConfig): OpenClawConfig {
  };
 }

+/**
+ * Apply Hugging Face (Inference Providers) provider configuration without changing the default model.
+ */
+export function applyHuggingfaceProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
+  const models = { ...cfg.agents?.defaults?.models };
+  models[HUGGINGFACE_DEFAULT_MODEL_REF] = {
+    ...models[HUGGINGFACE_DEFAULT_MODEL_REF],
+    alias: models[HUGGINGFACE_DEFAULT_MODEL_REF]?.alias ?? "Hugging Face",
+  };
+
+  const providers = { ...cfg.models?.providers };
+  const existingProvider = providers.huggingface;
+  const existingModels = Array.isArray(existingProvider?.models) ? existingProvider.models : [];
+  const hfModels = HUGGINGFACE_MODEL_CATALOG.map(buildHuggingfaceModelDefinition);
+  const mergedModels = [
+    ...existingModels,
+    ...hfModels.filter((model) => !existingModels.some((existing) => existing.id === model.id)),
+  ];
+  const { apiKey: existingApiKey, ...existingProviderRest } = (existingProvider ?? {}) as Record<
+    string,
+    unknown
+  > as { apiKey?: string };
+  const resolvedApiKey = typeof existingApiKey === "string" ? existingApiKey : undefined;
+  const normalizedApiKey = resolvedApiKey?.trim();
+  providers.huggingface = {
+    ...existingProviderRest,
+    baseUrl: HUGGINGFACE_BASE_URL,
+    api: "openai-completions",
+    ...(normalizedApiKey ? { apiKey: normalizedApiKey } : {}),
+    models: mergedModels.length > 0 ? mergedModels : hfModels,
+  };
+
+  return {
+    ...cfg,
+    agents: {
+      ...cfg.agents,
+      defaults: {
+        ...cfg.agents?.defaults,
+        models,
+      },
+    },
+    models: {
+      mode: cfg.models?.mode ?? "merge",
+      providers,
+    },
+  };
+}
+
+/**
+ * Apply Hugging Face provider configuration AND set Hugging Face as the default model.
+ */
+export function applyHuggingfaceConfig(cfg: OpenClawConfig): OpenClawConfig {
+  const next = applyHuggingfaceProviderConfig(cfg);
+  const existingModel = next.agents?.defaults?.model;
+  return {
+    ...next,
+    agents: {
+      ...next.agents,
+      defaults: {
+        ...next.agents?.defaults,
+        model: {
+          ...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
+            ? {
+                fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
+              }
+            : undefined),
+          primary: HUGGINGFACE_DEFAULT_MODEL_REF,
+        },
+      },
+    },
+  };
+}
+
 export function applyXaiProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
  const models = { ...cfg.agents?.defaults?.models };
  models[XAI_DEFAULT_MODEL_REF] = {
--- a/src/commands/onboard-auth.config-gateways.ts
+++ b/src/commands/onboard-auth.config-gateways.ts
@@ -0,0 +1,142 @@
+import type { OpenClawConfig } from "../config/config.js";
+import {
+  buildCloudflareAiGatewayModelDefinition,
+  resolveCloudflareAiGatewayBaseUrl,
+} from "../agents/cloudflare-ai-gateway.js";
+import {
+  CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF,
+  VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF,
+} from "./onboard-auth.credentials.js";
+
+export function applyVercelAiGatewayProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
+  const models = { ...cfg.agents?.defaults?.models };
+  models[VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF] = {
+    ...models[VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF],
+    alias: models[VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF]?.alias ?? "Vercel AI Gateway",
+  };
+
+  return {
+    ...cfg,
+    agents: {
+      ...cfg.agents,
+      defaults: {
+        ...cfg.agents?.defaults,
+        models,
+      },
+    },
+  };
+}
+
+export function applyCloudflareAiGatewayProviderConfig(
+  cfg: OpenClawConfig,
+  params?: { accountId?: string; gatewayId?: string },
+): OpenClawConfig {
+  const models = { ...cfg.agents?.defaults?.models };
+  models[CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF] = {
+    ...models[CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF],
+    alias: models[CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF]?.alias ?? "Cloudflare AI Gateway",
+  };
+
+  const providers = { ...cfg.models?.providers };
+  const existingProvider = providers["cloudflare-ai-gateway"];
+  const existingModels = Array.isArray(existingProvider?.models) ? existingProvider.models : [];
+  const defaultModel = buildCloudflareAiGatewayModelDefinition();
+  const hasDefaultModel = existingModels.some((model) => model.id === defaultModel.id);
+  const mergedModels = hasDefaultModel ? existingModels : [...existingModels, defaultModel];
+  const baseUrl =
+    params?.accountId && params?.gatewayId
+      ? resolveCloudflareAiGatewayBaseUrl({
+          accountId: params.accountId,
+          gatewayId: params.gatewayId,
+        })
+      : existingProvider?.baseUrl;
+
+  if (!baseUrl) {
+    return {
+      ...cfg,
+      agents: {
+        ...cfg.agents,
+        defaults: {
+          ...cfg.agents?.defaults,
+          models,
+        },
+      },
+    };
+  }
+
+  const { apiKey: existingApiKey, ...existingProviderRest } = (existingProvider ?? {}) as Record<
+    string,
+    unknown
+  > as { apiKey?: string };
+  const resolvedApiKey = typeof existingApiKey === "string" ? existingApiKey : undefined;
+  const normalizedApiKey = resolvedApiKey?.trim();
+  providers["cloudflare-ai-gateway"] = {
+    ...existingProviderRest,
+    baseUrl,
+    api: "anthropic-messages",
+    ...(normalizedApiKey ? { apiKey: normalizedApiKey } : {}),
+    models: mergedModels.length > 0 ? mergedModels : [defaultModel],
+  };
+
+  return {
+    ...cfg,
+    agents: {
+      ...cfg.agents,
+      defaults: {
+        ...cfg.agents?.defaults,
+        models,
+      },
+    },
+    models: {
+      mode: cfg.models?.mode ?? "merge",
+      providers,
+    },
+  };
+}
+
+export function applyVercelAiGatewayConfig(cfg: OpenClawConfig): OpenClawConfig {
+  const next = applyVercelAiGatewayProviderConfig(cfg);
+  const existingModel = next.agents?.defaults?.model;
+  return {
+    ...next,
+    agents: {
+      ...next.agents,
+      defaults: {
+        ...next.agents?.defaults,
+        model: {
+          ...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
+            ? {
+                fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
+              }
+            : undefined),
+          primary: VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF,
+        },
+      },
+    },
+  };
+}
+
+export function applyCloudflareAiGatewayConfig(
+  cfg: OpenClawConfig,
+  params?: { accountId?: string; gatewayId?: string },
+): OpenClawConfig {
+  const next = applyCloudflareAiGatewayProviderConfig(cfg, params);
+  const existingModel = next.agents?.defaults?.model;
+  return {
+    ...next,
+    agents: {
+      ...next.agents,
+      defaults: {
+        ...next.agents?.defaults,
+        model: {
+          ...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
+            ? {
+                fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
+              }
+            : undefined),
+          primary: CLOUDFLARE_AI_GATEWAY_DEFAULT_MODEL_REF,
+        },
+      },
+    },
+  };
+}
--- a/src/commands/onboard-auth.config-litellm.ts
+++ b/src/commands/onboard-auth.config-litellm.ts
@@ -0,0 +1,100 @@
+import type { OpenClawConfig } from "../config/config.js";
+import { LITELLM_DEFAULT_MODEL_REF } from "./onboard-auth.credentials.js";
+
+export const LITELLM_BASE_URL = "http://localhost:4000";
+export const LITELLM_DEFAULT_MODEL_ID = "claude-opus-4-6";
+const LITELLM_DEFAULT_CONTEXT_WINDOW = 128_000;
+const LITELLM_DEFAULT_MAX_TOKENS = 8_192;
+const LITELLM_DEFAULT_COST = {
+  input: 0,
+  output: 0,
+  cacheRead: 0,
+  cacheWrite: 0,
+};
+
+function buildLitellmModelDefinition(): {
+  id: string;
+  name: string;
+  reasoning: boolean;
+  input: Array<"text" | "image">;
+  cost: { input: number; output: number; cacheRead: number; cacheWrite: number };
+  contextWindow: number;
+  maxTokens: number;
+} {
+  return {
+    id: LITELLM_DEFAULT_MODEL_ID,
+    name: "Claude Opus 4.6",
+    reasoning: true,
+    input: ["text", "image"],
+    cost: LITELLM_DEFAULT_COST,
+    contextWindow: LITELLM_DEFAULT_CONTEXT_WINDOW,
+    maxTokens: LITELLM_DEFAULT_MAX_TOKENS,
+  };
+}
+
+export function applyLitellmProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
+  const models = { ...cfg.agents?.defaults?.models };
+  models[LITELLM_DEFAULT_MODEL_REF] = {
+    ...models[LITELLM_DEFAULT_MODEL_REF],
+    alias: models[LITELLM_DEFAULT_MODEL_REF]?.alias ?? "LiteLLM",
+  };
+
+  const providers = { ...cfg.models?.providers };
+  const existingProvider = providers.litellm;
+  const existingModels = Array.isArray(existingProvider?.models) ? existingProvider.models : [];
+  const defaultModel = buildLitellmModelDefinition();
+  const hasDefaultModel = existingModels.some((model) => model.id === LITELLM_DEFAULT_MODEL_ID);
+  const mergedModels = hasDefaultModel ? existingModels : [...existingModels, defaultModel];
+  const { apiKey: existingApiKey, ...existingProviderRest } = (existingProvider ?? {}) as Record<
+    string,
+    unknown
+  > as { apiKey?: string };
+  const resolvedBaseUrl =
+    typeof existingProvider?.baseUrl === "string" ? existingProvider.baseUrl.trim() : "";
+  const resolvedApiKey = typeof existingApiKey === "string" ? existingApiKey : undefined;
+  const normalizedApiKey = resolvedApiKey?.trim();
+  providers.litellm = {
+    ...existingProviderRest,
+    baseUrl: resolvedBaseUrl || LITELLM_BASE_URL,
+    api: "openai-completions",
+    ...(normalizedApiKey ? { apiKey: normalizedApiKey } : {}),
+    models: mergedModels.length > 0 ? mergedModels : [defaultModel],
+  };
+
+  return {
+    ...cfg,
+    agents: {
+      ...cfg.agents,
+      defaults: {
+        ...cfg.agents?.defaults,
+        models,
+      },
+    },
+    models: {
+      mode: cfg.models?.mode ?? "merge",
+      providers,
+    },
+  };
+}
+
+export function applyLitellmConfig(cfg: OpenClawConfig): OpenClawConfig {
+  const next = applyLitellmProviderConfig(cfg);
+  const existingModel = next.agents?.defaults?.model;
+  return {
+    ...next,
+    agents: {
+      ...next.agents,
+      defaults: {
+        ...next.agents?.defaults,
+        model: {
+          ...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
+            ? {
+                fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
+              }
+            : undefined),
+          primary: LITELLM_DEFAULT_MODEL_REF,
+        },
+      },
+    },
+  };
+}
--- a/src/commands/onboard-auth.credentials.ts
+++ b/src/commands/onboard-auth.credentials.ts
@@ -118,6 +118,7 @@ export async function setVeniceApiKey(key: string, agentDir?: string) {
 export const ZAI_DEFAULT_MODEL_REF = "zai/glm-5";
 export const XIAOMI_DEFAULT_MODEL_REF = "xiaomi/mimo-v2-flash";
 export const OPENROUTER_DEFAULT_MODEL_REF = "openrouter/auto";
+export const HUGGINGFACE_DEFAULT_MODEL_REF = "huggingface/deepseek-ai/DeepSeek-R1";
 export const TOGETHER_DEFAULT_MODEL_REF = "together/moonshotai/Kimi-K2.5";
 export const LITELLM_DEFAULT_MODEL_REF = "litellm/claude-opus-4-6";
 export const VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF = "vercel-ai-gateway/anthropic/claude-opus-4.6";
@@ -148,12 +149,14 @@ export async function setXiaomiApiKey(key: string, agentDir?: string) {
 }

 export async function setOpenrouterApiKey(key: string, agentDir?: string) {
+  // Never persist the literal "undefined" (e.g. when prompt returns undefined and caller used String(key)).
+  const safeKey = key === "undefined" ? "" : key;
  upsertAuthProfile({
    profileId: "openrouter:default",
    credential: {
      type: "api_key",
      provider: "openrouter",
-      key,
+      key: safeKey,
    },
    agentDir: resolveAuthAgentDir(agentDir),
  });
@@ -231,6 +234,18 @@ export async function setTogetherApiKey(key: string, agentDir?: string) {
  });
 }

+export async function setHuggingfaceApiKey(key: string, agentDir?: string) {
+  upsertAuthProfile({
+    profileId: "huggingface:default",
+    credential: {
+      type: "api_key",
+      provider: "huggingface",
+      key,
+    },
+    agentDir: resolveAuthAgentDir(agentDir),
+  });
+}
+
 export function setQianfanApiKey(key: string, agentDir?: string) {
  upsertAuthProfile({
    profileId: "qianfan:default",
--- a/src/commands/onboard-auth.ts
+++ b/src/commands/onboard-auth.ts
@@ -7,6 +7,8 @@ export {
  applyAuthProfileConfig,
  applyCloudflareAiGatewayConfig,
  applyCloudflareAiGatewayProviderConfig,
+  applyHuggingfaceConfig,
+  applyHuggingfaceProviderConfig,
  applyQianfanConfig,
  applyQianfanProviderConfig,
  applyKimiCodeConfig,
@@ -63,12 +65,14 @@ export {
  setOpenrouterApiKey,
  setSyntheticApiKey,
  setTogetherApiKey,
+  setHuggingfaceApiKey,
  setVeniceApiKey,
  setVercelAiGatewayApiKey,
  setXiaomiApiKey,
  setZaiApiKey,
  setXaiApiKey,
  writeOAuthCredentials,
+  HUGGINGFACE_DEFAULT_MODEL_REF,
  VERCEL_AI_GATEWAY_DEFAULT_MODEL_REF,
  XIAOMI_DEFAULT_MODEL_REF,
  ZAI_DEFAULT_MODEL_REF,
--- a/src/commands/onboard-non-interactive.provider-auth.e2e.test.ts
+++ b/src/commands/onboard-non-interactive.provider-auth.e2e.test.ts
@@ -450,6 +450,36 @@ describe("onboard (non-interactive): provider auth", () => {
    });
  }, 60_000);

+  it("infers Together auth choice from --together-api-key and sets default model", async () => {
+    await withOnboardEnv("openclaw-onboard-together-infer-", async ({ configPath, runtime }) => {
+      await runNonInteractive(
+        {
+          nonInteractive: true,
+          togetherApiKey: "together-test-key",
+          skipHealth: true,
+          skipChannels: true,
+          skipSkills: true,
+          json: true,
+        },
+        runtime,
+      );
+
+      const cfg = await readJsonFile<{
+        auth?: { profiles?: Record<string, { provider?: string; mode?: string }> };
+        agents?: { defaults?: { model?: { primary?: string } } };
+      }>(configPath);
+
+      expect(cfg.auth?.profiles?.["together:default"]?.provider).toBe("together");
+      expect(cfg.auth?.profiles?.["together:default"]?.mode).toBe("api_key");
+      expect(cfg.agents?.defaults?.model?.primary).toBe("together/moonshotai/Kimi-K2.5");
+      await expectApiKeyProfile({
+        profileId: "together:default",
+        provider: "together",
+        key: "together-test-key",
+      });
+    });
+  }, 60_000);
+
  it("configures a custom provider from non-interactive flags", async () => {
    await withOnboardEnv("openclaw-onboard-custom-provider-", async ({ configPath, runtime }) => {
      await runNonInteractive(
--- a/src/commands/onboard-non-interactive/local/auth-choice-inference.ts
+++ b/src/commands/onboard-non-interactive/local/auth-choice-inference.ts
@@ -18,6 +18,8 @@ type AuthChoiceFlagOptions = Pick<
  | "kimiCodeApiKey"
  | "syntheticApiKey"
  | "veniceApiKey"
+  | "togetherApiKey"
+  | "huggingfaceApiKey"
  | "zaiApiKey"
  | "xiaomiApiKey"
  | "minimaxApiKey"
@@ -44,11 +46,13 @@ const AUTH_CHOICE_FLAG_MAP = [
  { flag: "kimiCodeApiKey", authChoice: "kimi-code-api-key", label: "--kimi-code-api-key" },
  { flag: "syntheticApiKey", authChoice: "synthetic-api-key", label: "--synthetic-api-key" },
  { flag: "veniceApiKey", authChoice: "venice-api-key", label: "--venice-api-key" },
+  { flag: "togetherApiKey", authChoice: "together-api-key", label: "--together-api-key" },
  { flag: "zaiApiKey", authChoice: "zai-api-key", label: "--zai-api-key" },
  { flag: "xiaomiApiKey", authChoice: "xiaomi-api-key", label: "--xiaomi-api-key" },
  { flag: "xaiApiKey", authChoice: "xai-api-key", label: "--xai-api-key" },
  { flag: "minimaxApiKey", authChoice: "minimax-api", label: "--minimax-api-key" },
  { flag: "opencodeZenApiKey", authChoice: "opencode-zen", label: "--opencode-zen-api-key" },
+  { flag: "huggingfaceApiKey", authChoice: "huggingface-api-key", label: "--huggingface-api-key" },
  { flag: "litellmApiKey", authChoice: "litellm-api-key", label: "--litellm-api-key" },
 ] satisfies ReadonlyArray<AuthChoiceFlag>;

--- a/src/commands/onboard-non-interactive/local/auth-choice.ts
+++ b/src/commands/onboard-non-interactive/local/auth-choice.ts
@@ -23,6 +23,7 @@ import {
  applySyntheticConfig,
  applyVeniceConfig,
  applyTogetherConfig,
+  applyHuggingfaceConfig,
  applyVercelAiGatewayConfig,
  applyLitellmConfig,
  applyXaiConfig,
@@ -42,6 +43,7 @@ import {
  setXaiApiKey,
  setVeniceApiKey,
  setTogetherApiKey,
+  setHuggingfaceApiKey,
  setVercelAiGatewayApiKey,
  setXiaomiApiKey,
  setZaiApiKey,
@@ -644,6 +646,29 @@ export async function applyNonInteractiveAuthChoice(params: {
    return applyTogetherConfig(nextConfig);
  }

+  if (authChoice === "huggingface-api-key") {
+    const resolved = await resolveNonInteractiveApiKey({
+      provider: "huggingface",
+      cfg: baseConfig,
+      flagValue: opts.huggingfaceApiKey,
+      flagName: "--huggingface-api-key",
+      envVar: "HF_TOKEN",
+      runtime,
+    });
+    if (!resolved) {
+      return null;
+    }
+    if (resolved.source !== "profile") {
+      await setHuggingfaceApiKey(resolved.key);
+    }
+    nextConfig = applyAuthProfileConfig(nextConfig, {
+      profileId: "huggingface:default",
+      provider: "huggingface",
+      mode: "api_key",
+    });
+    return applyHuggingfaceConfig(nextConfig);
+  }
+
  if (authChoice === "custom-api-key") {
    try {
      const customAuth = parseNonInteractiveCustomApiFlags({
--- a/src/commands/onboard-types.ts
+++ b/src/commands/onboard-types.ts
@@ -22,6 +22,7 @@ export type AuthChoice =
  | "synthetic-api-key"
  | "venice-api-key"
  | "together-api-key"
+  | "huggingface-api-key"
  | "codex-cli"
  | "apiKey"
  | "gemini-api-key"
@@ -52,6 +53,7 @@ export type AuthChoiceGroupId =
  | "google"
  | "copilot"
  | "openrouter"
+  | "litellm"
  | "ai-gateway"
  | "cloudflare-ai-gateway"
  | "moonshot"
@@ -62,6 +64,8 @@ export type AuthChoiceGroupId =
  | "synthetic"
  | "venice"
  | "qwen"
+  | "together"
+  | "huggingface"
  | "qianfan"
  | "xai"
  | "custom";
@@ -109,6 +113,7 @@ export type OnboardOptions = {
  syntheticApiKey?: string;
  veniceApiKey?: string;
  togetherApiKey?: string;
+  huggingfaceApiKey?: string;
  opencodeZenApiKey?: string;
  xaiApiKey?: string;
  qianfanApiKey?: string;
--- a/src/media-understanding/providers/google/video.test.ts
+++ b/src/media-understanding/providers/google/video.test.ts
@@ -14,26 +14,34 @@ const resolveRequestUrl = (input: RequestInfo | URL) => {
  return input.url;
 };

+function stubPinnedHostname(hostname: string) {
+  const normalized = hostname.trim().toLowerCase().replace(/\.$/, "");
+  const addresses = [TEST_NET_IP];
+  return {
+    hostname: normalized,
+    addresses,
+    lookup: ssrf.createPinnedLookup({ hostname: normalized, addresses }),
+  };
+}
+
 describe("describeGeminiVideo", () => {
+  let resolvePinnedHostnameWithPolicySpy: ReturnType<typeof vi.spyOn>;
  let resolvePinnedHostnameSpy: ReturnType<typeof vi.spyOn>;

  beforeEach(() => {
-    resolvePinnedHostnameSpy = vi
+    // Stub both entry points so fetch-guard never does live DNS (CI can use either path).
+    resolvePinnedHostnameWithPolicySpy = vi
      .spyOn(ssrf, "resolvePinnedHostnameWithPolicy")
-      .mockImplementation(async (hostname) => {
-        // SSRF guard pins DNS; stub resolution to avoid live lookups in unit tests.
-        const normalized = hostname.trim().toLowerCase().replace(/\.$/, "");
-        const addresses = [TEST_NET_IP];
-        return {
-          hostname: normalized,
-          addresses,
-          lookup: ssrf.createPinnedLookup({ hostname: normalized, addresses }),
-        };
-      });
+      .mockImplementation(async (hostname) => stubPinnedHostname(hostname));
+    resolvePinnedHostnameSpy = vi
+      .spyOn(ssrf, "resolvePinnedHostname")
+      .mockImplementation(async (hostname) => stubPinnedHostname(hostname));
  });

  afterEach(() => {
+    resolvePinnedHostnameWithPolicySpy?.mockRestore();
    resolvePinnedHostnameSpy?.mockRestore();
+    resolvePinnedHostnameWithPolicySpy = undefined;
    resolvePinnedHostnameSpy = undefined;
  });