lovart3/app/(chat)/api/chat/schema.ts
2025-12-17 20:15:18 +08:00

45 lines
1.3 KiB
TypeScript

import { z } from "zod";
const textPartSchema = z.object({
type: z.enum(["text"]),
text: z.string().min(1).max(2000),
});
const filePartSchema = z.object({
type: z.enum(["file"]),
mediaType: z.enum(["image/jpeg", "image/png", "image/webp"]),
name: z.string().min(1).max(100),
url: z.string().url(),
});
const partSchema = z.union([textPartSchema, filePartSchema]);
// 🆕 视频参数 schema
const videoParamsSchema = z.object({
mode: z.enum(["text-to-video", "first-frame", "first-last-frame", "reference-images"]),
resolution: z.enum(["480p", "720p", "1080p"]).optional(),
ratio: z.string().optional(),
duration: z.number().optional(),
watermark: z.boolean().optional(),
cameraFixed: z.boolean().optional(),
cameraMove: z.string().optional(),
fps: z.number().optional(),
seed: z.number().optional(),
returnLastFrame: z.boolean().optional(),
}).optional();
export const postRequestBodySchema = z.object({
id: z.string().uuid(),
message: z.object({
id: z.string().uuid(),
role: z.enum(["user"]),
parts: z.array(partSchema),
}),
// 支持预定义模型名称或数据库中的模型 UUID
selectedChatModel: z.string().min(1).max(128),
selectedVisibilityType: z.enum(["public", "private"]),
videoParams: videoParamsSchema, // 🆕 视频参数
});
export type PostRequestBody = z.infer<typeof postRequestBodySchema>;