Delete: Merged into app.js IIFE

assets/js/openrouter.js

@@ -1,137 +0,0 @@
-import { NEXT_FRAME_PROMPT_TEMPLATE } from "./config.js";
-
-const OPENROUTER_URL = "https://openrouter.ai/api/v1/chat/completions";
-
-const SYSTEM_PROMPT = [
-  "You generate a single image per request for an animation pipeline.",
-  "Keep style consistency across frames.",
-  "No text overlays, no labels, no typography.",
-  "Output only the image.",
-].join(" ");
-
-function buildFramePrompt({
-  masterPrompt,
-  userPrompt,
-  frameCount,
-  frameIndex,
-}) {
-  const lines = [
-    `Create frame ${frameIndex} of ${frameCount} for an animated GIF.`,
-    `Concept: ${userPrompt}.`,
-    `Master style lock: ${masterPrompt}.`,
-    "Use a white background and clean black line doodle style.",
-    "Keep the subject identity and scene composition coherent between frames.",
-  ];
-
-  if (frameIndex === 1) {
-    lines.push("This is the first frame. Establish a clear starting pose.");
-  } else {
-    lines.push(NEXT_FRAME_PROMPT_TEMPLATE(frameCount));
-    lines.push(
-      `This is frame ${frameIndex}. Advance the motion naturally from the prior frame references.`
-    );
-  }
-
-  lines.push("Return one meaningful image only.");
-  return lines.join("\n");
-}
-
-function buildUserContent(promptText, previousFrames = []) {
-  const parts = [{ type: "text", text: promptText }];
-
-  for (const frame of previousFrames.slice(-2)) {
-    parts.push({
-      type: "image_url",
-      image_url: { url: frame },
-    });
-  }
-
-  return parts;
-}
-
-function extractImageUrl(json) {
-  const message = json?.choices?.[0]?.message;
-  const image = message?.images?.[0];
-  return image?.image_url?.url || image?.imageUrl?.url || "";
-}
-
-function extractErrorMessage(text, status, fallbackStatusText) {
-  try {
-    const parsed = JSON.parse(text);
-    return (
-      parsed?.error?.message ||
-      parsed?.message ||
-      `Request failed (${status} ${fallbackStatusText})`
-    );
-  } catch {
-    return text || `Request failed (${status} ${fallbackStatusText})`;
-  }
-}
-
-export async function requestFrameImage({
-  apiKey,
-  model,
-  userPrompt,
-  masterPrompt,
-  frameCount,
-  frameIndex,
-  previousFrames,
-  imageSize,
-  aspectRatio,
-}) {
-  const promptText = buildFramePrompt({
-    masterPrompt,
-    userPrompt,
-    frameCount,
-    frameIndex,
-  });
-
-  const body = {
-    model,
-    stream: false,
-    modalities: ["image"],
-    messages: [
-      { role: "system", content: SYSTEM_PROMPT },
-      {
-        role: "user",
-        content: buildUserContent(promptText, previousFrames),
-      },
-    ],
-    image_config: {
-      image_size: imageSize,
-      aspect_ratio: aspectRatio,
-    },
-  };
-
-  const headers = {
-    Authorization: `Bearer ${apiKey}`,
-    "Content-Type": "application/json",
-  };
-
-  if (typeof window !== "undefined" && window.location?.origin?.startsWith("http")) {
-    headers["HTTP-Referer"] = window.location.origin;
-    headers["X-OpenRouter-Title"] = "vibegif.lol";
-  }
-
-  const response = await fetch(OPENROUTER_URL, {
-    method: "POST",
-    headers,
-    body: JSON.stringify(body),
-  });
-
-  if (!response.ok) {
-    const raw = await response.text();
-    throw new Error(
-      extractErrorMessage(raw, response.status, response.statusText)
-    );
-  }
-
-  const json = await response.json();
-  const imageUrl = extractImageUrl(json);
-
-  if (!imageUrl) {
-    throw new Error("No image returned by model. Try again with fewer frames or simpler prompt.");
-  }
-
-  return imageUrl;
-}