import {z} from 'zod' export type ImageInput = {image: string}; export type DedicatedImageEditBody = {image: ImageInput | Array, prompt: string, model: string, num_inference_steps?: number | undefined, guidance_scale?: (number | null) | undefined, seed?: (number | null) | undefined, response_format?: ('url' | 'raw' | 'png' | 'jpeg' | 'jpg' | null) | undefined}; export type CreateApiDedicatedV1ImagesEditsArgs = {'X-Friendli-Team'?: (string | null) | undefined, body: DedicatedImageEditBody}; export type CreateApiDedicatedV1ImagesEditsOptions = {baseUrl?: string | undefined, token?: string | undefined, fetch?: typeof fetch | undefined}; export const urlImageItem = z.object({seed: z.number().int(), response_format: z.enum(["url", "raw", "png", "jpeg", "jpg"]), url: z.string()}); export const b64ImageItem = z.object({seed: z.number().int(), response_format: z.enum(["url", "raw", "png", "jpeg", "jpg"]), b64_json: z.string()}); export const dedicatedImageEditSuccess = z.object({data: z.union([z.array(urlImageItem), z.array(b64ImageItem)])}); export const validateResponse = async ( schema: { readonly '~standard': { readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }> } }, value: unknown ): Promise => { const result = await schema['~standard'].validate(value) if (result.issues !== undefined) { const detail = result.issues .map(({ message, path }) => path?.length ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}` : message ) .join('; ') throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } }) } return result.value }; /** * Image edits * * POST /dedicated/v1/images/edits */ export const createApiDedicatedV1ImagesEdits = async (args: CreateApiDedicatedV1ImagesEditsArgs, options?: CreateApiDedicatedV1ImagesEditsOptions) => { const {baseUrl = "https://api.friendli.ai", fetch: fetchFn = fetch, token} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (args['X-Friendli-Team'] != null) headers.set("X-Friendli-Team", String(args['X-Friendli-Team'])) if (token !== undefined) headers.set('authorization', `Bearer ${token}`) const url = `${baseUrl.replace(/\/+$/, '')}/dedicated/v1/images/edits${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "POST", headers, body: JSON.stringify(args.body)}) if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}}) return validateResponse(dedicatedImageEditSuccess, await res.json()) };