Files
baoyu-skills/skills/baoyu-image-gen/scripts/providers/agnes.ts
T

190 lines
5.2 KiB
TypeScript

import { readFile } from "node:fs/promises";
import path from "node:path";
import type { CliArgs } from "../types";
const DEFAULT_MODEL = "agnes-image-2.1-flash";
const DEFAULT_BASE_URL = "https://apihub.agnes-ai.com/v1";
const DEFAULT_SIZE = "1024x1024";
type AgnesResponse = {
created?: number;
data: Array<{ url?: string; b64_json?: string }>;
};
export function getDefaultModel(): string {
return process.env.AGNES_IMAGE_MODEL || DEFAULT_MODEL;
}
function getApiKey(): string {
const key = process.env.AGNES_API_KEY;
if (!key) {
throw new Error("AGNES_API_KEY is required. Get one from https://apihub.agnes-ai.com.");
}
return key;
}
function getBaseUrl(): string {
return (process.env.AGNES_BASE_URL || DEFAULT_BASE_URL).replace(/\/+$/, "");
}
export function parseAspectRatio(ar: string): { width: number; height: number } | null {
const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
if (!match) return null;
const w = parseFloat(match[1]!);
const h = parseFloat(match[2]!);
if (w <= 0 || h <= 0) return null;
return { width: w, height: h };
}
function gcd(a: number, b: number): number {
let x = Math.abs(Math.round(a));
let y = Math.abs(Math.round(b));
while (y !== 0) {
const next = x % y;
x = y;
y = next;
}
return x || 1;
}
export function snapDim(n: number): number {
return Math.max(32, Math.round(n / 32) * 32);
}
export function resolveSize(args: Pick<CliArgs, "size" | "aspectRatio">): string {
if (args.size) return args.size;
if (args.aspectRatio) {
const parsed = parseAspectRatio(args.aspectRatio);
if (parsed) {
const g = gcd(parsed.width, parsed.height);
const rw = Math.round(parsed.width / g);
const rh = Math.round(parsed.height / g);
if (rw === 1 && rh === 1) return "1024x1024";
const maxEdge = 2048;
const scale = Math.max(1, Math.floor(maxEdge / Math.max(rw, rh)));
const width = rw * scale;
const height = rh * scale;
return `${snapDim(width)}x${snapDim(height)}`;
}
}
return DEFAULT_SIZE;
}
function isRemoteUrl(refPath: string): boolean {
return /^https?:\/\//i.test(refPath);
}
export async function resolveReferenceImages(
referenceImages: string[]
): Promise<string[]> {
const result: string[] = [];
for (const refPath of referenceImages) {
if (isRemoteUrl(refPath)) {
result.push(refPath);
continue;
}
const bytes = await readFile(refPath);
const ext = path.extname(refPath).toLowerCase();
let mime = "image/png";
if (ext === ".jpg" || ext === ".jpeg") mime = "image/jpeg";
else if (ext === ".webp") mime = "image/webp";
else if (ext === ".gif") mime = "image/gif";
const b64 = Buffer.from(bytes).toString("base64");
result.push(`data:${mime};base64,${b64}`);
}
return result;
}
export function validateArgs(_model: string, args: CliArgs): void {
if (args.n > 1) {
throw new Error("Agnes image generation currently returns a single image per request. Set --n 1 or omit --n.");
}
}
export function getDefaultOutputExtension(_model: string, args: CliArgs): string {
return args.responseFormat === "url" ? ".txt" : ".png";
}
export function buildRequestBody(
prompt: string,
model: string,
args: Pick<CliArgs, "size" | "aspectRatio" | "referenceImages">
): Record<string, unknown> {
const body: Record<string, unknown> = {
model,
prompt,
size: resolveSize(args),
};
if (args.referenceImages.length > 0) {
body.image = args.referenceImages;
}
body.extra_body = { response_format: "url" };
return body;
}
export async function extractImageFromResponse(result: AgnesResponse): Promise<Uint8Array> {
const img = result.data[0];
if (img?.b64_json) {
return Uint8Array.from(Buffer.from(img.b64_json, "base64"));
}
if (img?.url) {
const imgRes = await fetch(img.url);
if (!imgRes.ok) throw new Error(`Failed to download image from Agnes: ${imgRes.status}`);
return new Uint8Array(await imgRes.arrayBuffer());
}
throw new Error("No image in Agnes response");
}
export async function generateImage(
prompt: string,
model: string,
args: CliArgs
): Promise<Uint8Array> {
const apiKey = getApiKey();
const baseUrl = getBaseUrl();
const referenceImages = await resolveReferenceImages(args.referenceImages);
const body = buildRequestBody(prompt, model, { ...args, referenceImages });
const controller = new AbortController();
const timeout = setTimeout(() => controller.abort(), 120_000);
try {
const res = await fetch(`${baseUrl}/images/generations`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify(body),
signal: controller.signal,
});
if (!res.ok) {
const err = await res.text();
throw new Error(`Agnes API error (${res.status}): ${err}`);
}
const result = (await res.json()) as AgnesResponse;
if (args.responseFormat === "url") {
const url = result.data[0]?.url;
if (!url) throw new Error("No URL in Agnes response");
return new Uint8Array(Buffer.from(url, "utf-8"));
}
return extractImageFromResponse(result);
} finally {
clearTimeout(timeout);
}
}