mirror of
https://github.com/QuantumNous/new-api.git
synced 2026-09-11 22:49:57 +00:00
feat(task): replace built-in task adaptors with a sandboxed JS plugin system (#7076)
This commit is contained in:
Calcium-Ion
@@ -0,0 +1,381 @@
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export const meta = {
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apiVersion: 1,
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key: "google",
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name: "Google Veo (Gemini API)",
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icon: "Gemini.Color",
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description: {
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en: "Google Veo video generation on the Gemini API (text-to-video and image-to-video)",
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zh: "Google Veo 视频生成（文生视频、图生视频），Gemini API 版本",
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},
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version: "1.0.0",
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author: { name: "QuantumNous" },
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channelTypes: [24],
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models: ["veo-3.0-generate-001", "veo-3.0-fast-generate-001", "veo-3.1-generate-preview", "veo-3.1-fast-generate-preview"],
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fetchMode: "per_task",
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usageSchema: {
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seconds: {
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type: "number",
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unit: "second",
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description: {
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en: "Requested video duration in seconds. Allowed values: 4, 6, 8.",
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zh: "请求的视频时长，单位为秒。允许值为 4、6、8。",
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},
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},
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resolution: {
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enum: ["720p", "1080p", "4k"],
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description: {
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en: "Requested video output resolution. Veo prices differ per resolution tier.",
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zh: "请求的输出视频分辨率。Veo 各分辨率档位计费不同。",
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},
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},
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},
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usageExamples: [
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{ label: "8s × 720p", facts: { seconds: 8, resolution: "720p" } },
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{ label: "8s × 1080p", facts: { seconds: 8, resolution: "1080p" } },
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{ label: "8s × 4k", facts: { seconds: 8, resolution: "4k" } },
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{ label: "4s × 720p", facts: { seconds: 4, resolution: "720p" } },
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],
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protocols: [{ name: "openai_responses", supports: ["stream", "sync", "background"] }, "openai_video"],
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};
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function trimmed(value) {
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return String(value || "").trim();
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}
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function responsesInput(req) {
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const texts = [],
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images = [];
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const input = req.input;
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if (typeof input === "string") texts.push(input);
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else if (Array.isArray(input)) {
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for (const item of input) {
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if (typeof item === "string") {
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texts.push(item);
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continue;
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}
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if (!item || typeof item !== "object" || Array.isArray(item)) continue;
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const content = item.content === undefined ? [item] : Array.isArray(item.content) ? item.content : [item.content];
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for (const part of content) {
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if (typeof part === "string") {
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texts.push(part);
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continue;
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}
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if (!part || typeof part !== "object" || Array.isArray(part)) continue;
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if (["input_text", "text"].includes(part.type) && typeof part.text === "string") texts.push(part.text);
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if (["input_image", "image_url"].includes(part.type)) {
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let image = part.image_url;
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if (image && typeof image === "object") image = image.url;
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if (trimmed(image)) images.push(trimmed(image));
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}
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}
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}
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}
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return {
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prompt: texts
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.filter(function (text) {
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return trimmed(text);
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})
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.join("\n"),
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images: images,
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};
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}
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function responsesVideoText(ctx) {
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const artifact = ctx && ctx.artifacts && ctx.artifacts.video;
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const url = trimmed(artifact && artifact.url);
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if (!url) throw new Error("video artifact is unavailable");
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const escaped = url.replace(/&/g, "&").replace(/"/g, """).replace(/</g, "<").replace(/>/g, ">");
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return '<video controls src="' + escaped + '"></video>';
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}
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function sizeParts(size) {
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const parts = String(size || "")
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.toLowerCase()
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.split("x");
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if (parts.length !== 2) return null;
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return [Number(parts[0]), Number(parts[1])];
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}
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function resolutionForSize(size) {
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const parts = sizeParts(size);
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if (!parts) return "720p";
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const max = Math.max(parts[0], parts[1]);
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if (max >= 3840) return "4k";
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if (max >= 1920) return "1080p";
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return "720p";
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}
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function aspectForSize(size) {
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const parts = sizeParts(size);
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if (!parts || parts[0] <= 0 || parts[1] <= 0) return "16:9";
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return parts[1] > parts[0] ? "9:16" : "16:9";
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}
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function imageInput(value, files) {
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if (value && typeof value === "object" && !Array.isArray(value) && value.__fileRef) {
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let mime = value.mimeType || "";
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if (!mime && files) {
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for (const file of files) {
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if (file.ref === value.__fileRef || file.field === "input_reference") {
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mime = file.mimeType || "";
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break;
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}
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}
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}
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return { inlineData: { mimeType: mime || "application/octet-stream", data: value } };
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}
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value = String(value || "").trim();
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if (!value) return null;
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if (value.startsWith("data:")) {
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const comma = value.indexOf(",");
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if (comma < 0 || !value.slice(comma + 1)) return null;
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const mediaType = value.slice(5, comma).split(";")[0];
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return { inlineData: { mimeType: mediaType || "application/octet-stream", data: value.slice(comma + 1) } };
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}
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// Raw base64 input is accepted by the Go adaptor. The common fixtures use
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// PNG data; browser-free plugins cannot invoke net/http DetectContentType.
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if (!/^[A-Za-z0-9+/]+={0,2}$/.test(value)) return null;
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let mime = "application/octet-stream";
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if (value.startsWith("iVBORw0KGgo")) mime = "image/png";
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else if (value.startsWith("/9j/")) mime = "image/jpeg";
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else if (value.startsWith("R0lGOD")) mime = "image/gif";
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else if (value.startsWith("UklGR")) mime = "image/webp";
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return { inlineData: { mimeType: mime, data: value } };
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}
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function converted(ctx) {
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const req = ctx.requestBody || {};
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const metadata = Object.assign({}, req.metadata || {});
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const params = Object.assign({}, metadata);
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if (Number(req.duration) > 0) params.durationSeconds = Number(req.duration);
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if (!params.resolution && req.size) params.resolution = resolutionForSize(req.size);
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if (!params.aspectRatio && req.size) params.aspectRatio = aspectForSize(req.size);
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if (params.resolution) params.resolution = String(params.resolution).toLowerCase();
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params.numberOfVideos = 1;
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const instance = { prompt: req.prompt };
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const image = imageInput((req.images || [])[0], ctx.files);
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if (image) instance.image = image;
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return { body: { instances: [instance], parameters: params }, action: image ? "image_to_video" : "text_to_video" };
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}
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function version(ctx) {
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const settings = ctx.userSetting || {};
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return settings.geminiVersion || "v1beta";
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}
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export function buildSubmitRequest(ctx) {
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const result = converted(ctx);
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return {
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url: ctx.baseUrl + "/" + version(ctx) + "/models/" + ctx.upstreamModel + ":predictLongRunning",
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method: "POST",
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headers: { "Content-Type": "application/json", Accept: "application/json", "x-goog-api-key": ctx.apiKey },
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body: result.body,
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action: result.action,
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};
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}
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export function parseSubmitResponse(ctx, resp) {
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const body = resp.body || {};
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if (!String(body.name || "").trim()) throw new Error("missing operation name");
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const result = { taskId: utils.base64URL(body.name), taskData: body };
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if (body.done && !(body.error && body.error.message)) {
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const videos = ((body.response || {}).generateVideoResponse || {}).generatedVideos || [];
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const uri = videos.length && videos[0].video ? videos[0].video.uri || "" : "";
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result.immediate = { taskId: result.taskId, status: "SUCCESS", progress: "100%", remoteUrl: uri };
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}
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return result;
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}
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export function extractUsage(ctx) {
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const req = ctx.requestBody || {};
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const metadata = req.metadata || {};
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let seconds = Number(req.duration);
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if (!Number.isFinite(seconds) || seconds <= 0) seconds = 8;
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const resolution = String(metadata.resolution || resolutionForSize(req.size) || "720p").toLowerCase();
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return { seconds: seconds, resolution: resolution };
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}
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export function extractUsageOnComplete() {
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return null;
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}
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export function buildQueryRequest(ctx) {
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return {
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url: ctx.baseUrl + "/v1beta/" + utils.base64URLDecode(ctx.taskId),
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method: "GET",
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headers: { Accept: "application/json", "x-goog-api-key": ctx.apiKey },
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};
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}
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export function parseTaskResult(ctx, body) {
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if (body.error && body.error.message) return { status: "FAILURE", progress: "100%", reason: body.error.message };
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if (!body.done) return { status: "IN_PROGRESS", progress: "50%" };
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const videos = ((body.response || {}).generateVideoResponse || {}).generatedVideos || [];
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const uri = videos.length && videos[0].video ? videos[0].video.uri || "" : "";
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return { taskId: utils.base64URL(body.name || ""), status: "SUCCESS", progress: "100%", remoteUrl: uri };
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}
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function artifactData(ctx) {
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const data = (ctx && ctx.data) || {};
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if (data.data && typeof data.data === "object" && data.data.task_id && Object.prototype.hasOwnProperty.call(data.data, "data")) return data.data.data || {};
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return data;
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}
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function artifactVideoURL(ctx) {
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const videos = ((artifactData(ctx).response || {}).generateVideoResponse || {}).generatedVideos || [];
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return videos.length && videos[0].video ? String(videos[0].video.uri || "").trim() : "";
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}
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export function listArtifacts(task) {
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return task.status === "SUCCESS" && artifactVideoURL(task) ? [{ key: "video", type: "video" }] : [];
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}
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export function buildContentRequest(ctx) {
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if (ctx.artifactKey !== "video") throw new Error("artifact_not_found");
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const url = artifactVideoURL(ctx);
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if (!url) throw new Error("artifact_not_found");
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return { url: url, method: ctx.clientRequest.method, headers: { "x-goog-api-key": ctx.apiKey } };
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}
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export const protocols = {
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openai_responses: {
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decodeRequest: function (ctx) {
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if (!ctx.body || ctx.body.kind !== "json") throw new Error("JSON body required");
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const req = ctx.body.value;
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if (!req || typeof req !== "object" || Array.isArray(req)) throw new Error("request body must be an object");
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const model = trimmed(req.model);
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if (!model) throw new Error("model is required");
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if (req.input !== undefined && typeof req.input !== "string" && !Array.isArray(req.input)) throw new Error("input must be a string or array");
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if (req.images !== undefined && !Array.isArray(req.images)) throw new Error("images must be an array");
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if (req.metadata !== undefined && (!req.metadata || typeof req.metadata !== "object" || Array.isArray(req.metadata)))
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throw new Error("metadata must be an object");
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const input = responsesInput(req);
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const prompt = input.prompt || trimmed(req.prompt);
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const images = [];
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for (const image of [req.image, req.input_reference].concat(req.images || [], input.images)) {
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if (trimmed(image) && !images.includes(trimmed(image))) images.push(trimmed(image));
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}
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if (!prompt && images.length === 0) throw new Error("input is required");
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if (images.length && !imageInput(images[0])) throw new Error("input image must be a data URL or base64 value");
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const metadata = Object.assign({}, req.metadata || {});
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if (Object.prototype.hasOwnProperty.call(req, "resolution")) metadata.resolution = req.resolution;
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const requestBody = { model: model, prompt: prompt, metadata: metadata };
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if (images.length) requestBody.images = images;
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if (Object.prototype.hasOwnProperty.call(req, "seconds")) requestBody.duration = req.seconds;
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else if (Object.prototype.hasOwnProperty.call(req, "duration")) requestBody.duration = req.duration;
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if (Object.prototype.hasOwnProperty.call(req, "size")) requestBody.size = req.size;
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return { kind: "submit", model: model, action: images.length ? "image_to_video" : "text_to_video", requestBody: requestBody };
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},
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renderEvents: function (ctx, task, previousState) {
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const status = String(task.status || "UNKNOWN").toUpperCase();
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const value = Number(String(task.progress || "").replace("%", ""));
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const progress = Number.isFinite(value) && value >= 0 && value <= 100 ? value : null;
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const state = { status: status, progress: progress };
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if (status === "SUCCESS") {
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const text = responsesVideoText(ctx);
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const events = previousState && previousState.status === status ? [] : [{ type: "output", data: text }];
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return { events: events, state: state, done: true };
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}
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if (status === "FAILURE")
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return { events: [{ type: "error", code: "task_failed", message: task.fail_reason || "task failed" }], state: state, done: true };
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if (previousState && previousState.status === status && previousState.progress === progress) return { events: [], state: state, done: false };
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const event = { type: "progress", message: status.toLowerCase() };
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if (progress !== null) event.progress = progress;
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return { events: [event], state: state, done: false };
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},
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renderFinal: function (ctx, _task) {
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return {
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output: [
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{
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type: "message",
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status: "completed",
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role: "assistant",
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content: [{ type: "output_text", text: responsesVideoText(ctx), annotations: [], logprobs: [] }],
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},
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],
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metadata: { vendor: "gemini" },
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};
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},
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},
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};
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const legacyRenderers = {
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openai_video: function (task) {
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const model = (task.properties || {}).origin_model_name || "veo-3.0-generate-001";
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const statuses = { SUBMITTED: "queued", QUEUED: "queued", IN_PROGRESS: "in_progress", SUCCESS: "completed", FAILURE: "failed" };
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const output = {
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id: task.task_id,
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object: "video",
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model: model,
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status: statuses[task.status] || "unknown",
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progress: Number(String(task.progress || "0").replace("%", "")),
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created_at: task.created_at,
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};
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if (Number(task.finish_time) > 0) output.completed_at = Number(task.finish_time);
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else if (Number(task.updated_at) > 0) output.completed_at = Number(task.updated_at);
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return output;
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},
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};
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protocols.openai_video = {
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decodeRequest: function (ctx) {
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if (!ctx.body || (ctx.body.kind !== "json" && ctx.body.kind !== "multipart")) throw new Error("JSON or multipart body required");
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let req;
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let hasInputReferenceFile = false;
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if (ctx.body.kind === "json") {
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if (!ctx.body.value || Array.isArray(ctx.body.value)) throw new Error("JSON object required");
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req = Object.assign({}, ctx.body.value);
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} else {
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const first = function (name) {
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const values = (ctx.body.fields || {})[name] || [];
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if (values.length > 1) throw new Error(name + " must be provided once");
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return values[0];
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};
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req = {};
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const fields = ctx.body.fields || {};
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for (const name of Object.keys(fields)) {
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req[name] = first(name);
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}
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for (const file of ctx.body.files || []) {
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if (file.field !== "input_reference") throw new Error("unexpected file field: " + file.field);
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if (hasInputReferenceFile) throw new Error("input_reference must be provided once");
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hasInputReferenceFile = true;
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}
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if (req.metadata !== undefined) {
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let parsed;
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try {
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parsed = JSON.parse(req.metadata);
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} catch {
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throw new Error("metadata must be a JSON object string");
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}
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if (!parsed || typeof parsed !== "object" || Array.isArray(parsed)) throw new Error("metadata must be a JSON object string");
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req.metadata = parsed;
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}
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if (req.seconds !== undefined) req.seconds = Number(req.seconds);
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else if (req.duration !== undefined) req.seconds = Number(req.duration);
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}
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const seconds = req.seconds === undefined ? req.duration : req.seconds;
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if (seconds !== undefined) {
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const n = Number(seconds);
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if (n !== 4 && n !== 6 && n !== 8) throw new Error("seconds must be one of 4, 6, or 8");
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req.duration = n;
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}
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const providedResolution = req.resolution !== undefined ? req.resolution : req.metadata && req.metadata.resolution;
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if (providedResolution !== undefined && providedResolution !== "") {
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const resolution = String(providedResolution).toLowerCase();
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if (resolution !== "720p" && resolution !== "1080p" && resolution !== "4k") throw new Error("resolution must be one of 720p, 1080p, or 4k");
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}
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if (hasInputReferenceFile) {
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req.images = [{ __fileRef: "request_file:input_reference", encoding: "base64", maxBytes: 20971520 }];
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}
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return {
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kind: "submit",
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model: ctx.model,
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action: hasInputReferenceFile || req.input_reference || req.image ? "image_to_video" : "text_to_video",
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requestBody: Object.assign({}, req, { model: ctx.model }),
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};
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},
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render: function (ctx, task) {
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return legacyRenderers.openai_video(task);
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},
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};
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