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https://github.com/openclaw/openclaw.git
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* 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>
166 lines
5.2 KiB
TypeScript
166 lines
5.2 KiB
TypeScript
import type { ApplyAuthChoiceParams, ApplyAuthChoiceResult } from "./auth-choice.apply.js";
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import {
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discoverHuggingfaceModels,
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isHuggingfacePolicyLocked,
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} from "../agents/huggingface-models.js";
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import { resolveEnvApiKey } from "../agents/model-auth.js";
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import {
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formatApiKeyPreview,
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normalizeApiKeyInput,
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validateApiKeyInput,
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} from "./auth-choice.api-key.js";
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import { applyDefaultModelChoice } from "./auth-choice.default-model.js";
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import { ensureModelAllowlistEntry } from "./model-allowlist.js";
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import {
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applyAuthProfileConfig,
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applyHuggingfaceProviderConfig,
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setHuggingfaceApiKey,
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HUGGINGFACE_DEFAULT_MODEL_REF,
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} from "./onboard-auth.js";
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export async function applyAuthChoiceHuggingface(
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params: ApplyAuthChoiceParams,
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): Promise<ApplyAuthChoiceResult | null> {
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if (params.authChoice !== "huggingface-api-key") {
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return null;
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}
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let nextConfig = params.config;
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let agentModelOverride: string | undefined;
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const noteAgentModel = async (model: string) => {
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if (!params.agentId) {
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return;
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}
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await params.prompter.note(
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`Default model set to ${model} for agent "${params.agentId}".`,
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"Model configured",
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);
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};
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let hasCredential = false;
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let hfKey = "";
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if (!hasCredential && params.opts?.token && params.opts.tokenProvider === "huggingface") {
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hfKey = normalizeApiKeyInput(params.opts.token);
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await setHuggingfaceApiKey(hfKey, params.agentDir);
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hasCredential = true;
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}
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if (!hasCredential) {
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await params.prompter.note(
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[
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"Hugging Face Inference Providers offer OpenAI-compatible chat completions.",
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"Create a token at: https://huggingface.co/settings/tokens (fine-grained, 'Make calls to Inference Providers').",
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].join("\n"),
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"Hugging Face",
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);
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}
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if (!hasCredential) {
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const envKey = resolveEnvApiKey("huggingface");
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if (envKey) {
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const useExisting = await params.prompter.confirm({
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message: `Use existing Hugging Face token (${envKey.source}, ${formatApiKeyPreview(envKey.apiKey)})?`,
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initialValue: true,
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});
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if (useExisting) {
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hfKey = envKey.apiKey;
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await setHuggingfaceApiKey(hfKey, params.agentDir);
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hasCredential = true;
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}
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}
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}
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if (!hasCredential) {
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const key = await params.prompter.text({
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message: "Enter Hugging Face API key (HF token)",
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validate: validateApiKeyInput,
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});
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hfKey = normalizeApiKeyInput(String(key ?? ""));
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await setHuggingfaceApiKey(hfKey, params.agentDir);
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}
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: "huggingface:default",
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provider: "huggingface",
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mode: "api_key",
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});
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const models = await discoverHuggingfaceModels(hfKey);
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const modelRefPrefix = "huggingface/";
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const options: { value: string; label: string }[] = [];
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for (const m of models) {
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const baseRef = `${modelRefPrefix}${m.id}`;
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const label = m.name ?? m.id;
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options.push({ value: baseRef, label });
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options.push({ value: `${baseRef}:cheapest`, label: `${label} (cheapest)` });
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options.push({ value: `${baseRef}:fastest`, label: `${label} (fastest)` });
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}
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const defaultRef = HUGGINGFACE_DEFAULT_MODEL_REF;
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options.sort((a, b) => {
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if (a.value === defaultRef) {
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return -1;
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}
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if (b.value === defaultRef) {
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return 1;
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}
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return a.label.localeCompare(b.label, undefined, { sensitivity: "base" });
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});
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const selectedModelRef =
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options.length === 0
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? defaultRef
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: options.length === 1
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? options[0].value
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: await params.prompter.select({
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message: "Default Hugging Face model",
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options,
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initialValue: options.some((o) => o.value === defaultRef)
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? defaultRef
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: options[0].value,
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});
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if (isHuggingfacePolicyLocked(selectedModelRef)) {
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await params.prompter.note(
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"Provider locked — router will choose backend by cost or speed.",
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"Hugging Face",
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);
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}
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const applied = await applyDefaultModelChoice({
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config: nextConfig,
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setDefaultModel: params.setDefaultModel,
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defaultModel: selectedModelRef,
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applyDefaultConfig: (config) => {
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const withProvider = applyHuggingfaceProviderConfig(config);
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const existingModel = withProvider.agents?.defaults?.model;
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const withPrimary = {
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...withProvider,
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agents: {
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...withProvider.agents,
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defaults: {
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...withProvider.agents?.defaults,
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model: {
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...(existingModel && typeof existingModel === "object" && "fallbacks" in existingModel
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? {
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fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
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}
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: {}),
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primary: selectedModelRef,
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},
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},
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},
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};
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return ensureModelAllowlistEntry({
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cfg: withPrimary,
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modelRef: selectedModelRef,
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});
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},
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applyProviderConfig: applyHuggingfaceProviderConfig,
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noteDefault: selectedModelRef,
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noteAgentModel,
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prompter: params.prompter,
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});
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nextConfig = applied.config;
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agentModelOverride = applied.agentModelOverride ?? agentModelOverride;
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return { config: nextConfig, agentModelOverride };
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}
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