import {z} from 'zod' export type PartialImages = number | null; export type CreateImageRequest = {prompt: string, model?: (string | 'gpt-image-1.5' | 'dall-e-2' | 'dall-e-3' | 'gpt-image-1' | 'gpt-image-1-mini' | null) | undefined, n?: (number | null) | undefined, quality?: ('standard' | 'hd' | 'low' | 'medium' | 'high' | 'auto' | null) | undefined, response_format?: ('url' | 'b64_json' | null) | undefined, output_format?: ('png' | 'jpeg' | 'webp' | null) | undefined, output_compression?: (number | null) | undefined, stream?: (boolean | null) | undefined, partial_images?: PartialImages | undefined, size?: (string | 'auto' | '1024x1024' | '1536x1024' | '1024x1536' | '256x256' | '512x512' | '1792x1024' | '1024x1792' | null) | undefined, moderation?: ('low' | 'auto' | null) | undefined, background?: ('transparent' | 'opaque' | 'auto' | null) | undefined, style?: ('vivid' | 'natural' | null) | undefined, user?: string | undefined}; export type CreateApiV1ImagesGenerationsArgs = {body: CreateImageRequest}; export type CreateApiV1ImagesGenerationsOptions = {baseUrl?: string | undefined, gatewayBearer?: string | undefined, fetch?: typeof fetch | undefined}; export const image = z.object({b64_json: z.string().optional(), url: z.string().optional(), revised_prompt: z.string().optional()}); export const imageGenOutputTokensDetails = z.object({image_tokens: z.number().int(), text_tokens: z.number().int()}); export const imageGenInputUsageDetails = z.object({text_tokens: z.number().int(), image_tokens: z.number().int()}); export const imageGenUsage = z.object({input_tokens: z.number().int(), total_tokens: z.number().int(), output_tokens: z.number().int(), output_tokens_details: imageGenOutputTokensDetails.optional(), input_tokens_details: imageGenInputUsageDetails}); export const imagesResponse = z.object({created: z.number().int(), data: z.array(image).optional(), background: z.enum(["transparent", "opaque"]).optional(), output_format: z.enum(["png", "webp", "jpeg"]).optional(), size: z.enum(["1024x1024", "1024x1536", "1536x1024"]).optional(), quality: z.enum(["low", "medium", "high"]).optional(), usage: imageGenUsage.optional()}); 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 }; /** * /v1/images/generations * * POST /v1/images/generations */ export const createApiV1ImagesGenerations = async (args: CreateApiV1ImagesGenerationsArgs, options?: CreateApiV1ImagesGenerationsOptions) => { const {baseUrl = "https://aihubmix.com", fetch: fetchFn = fetch, gatewayBearer} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (gatewayBearer !== undefined) headers.set('authorization', `Bearer ${gatewayBearer}`) const url = `${baseUrl.replace(/\/+$/, '')}/v1/images/generations${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(imagesResponse, await res.json()) };