📦 feat(package.json, botservice.ts): added image processing library s…

…harp and implemented image resizing and format conversion

    To conform to the image formats and sizes supported by the OpenAI vision model, we use the sharp library to resize and convert the format of images. This ensures that images uploaded by users meet the requirements of the vision model, preventing errors.

dist/botservice.mjs

@@ -94,8 +94,17 @@ import FormData from "form-data";
 // src/openai-wrapper.ts
 import OpenAI from "openai";
 var apiKey = process.env["OPENAI_API_KEY"];
-var config = { apiKey };
 var azureOpenAiApiKey = process.env["AZURE_OPENAI_API_KEY"];
+var model = process.env["OPENAI_MODEL_NAME"] ?? "gpt-3.5-turbo";
+var MAX_TOKENS = Number(process.env["OPENAI_MAX_TOKENS"] ?? 2e3);
+var temperature = Number(process.env["OPENAI_TEMPERATURE"] ?? 1);
+var visionModel = process.env["OPENAI_VISION_MODEL_NAME"] ?? "gpt-4-vision-preview";
+if (!apiKey && !azureOpenAiApiKey) {
+  openAILog.error("OPENAI_API_KEY or AZURE_OPENAI_API_KEY is not set");
+  process.exit(1);
+}
+openAILog.debug({ model, max_tokens: MAX_TOKENS, temperature });
+var config = { apiKey };
 if (azureOpenAiApiKey) {
   config = {
     apiKey: azureOpenAiApiKey,
@@ -109,6 +118,7 @@ var openaiImage;
 if (azureOpenAiApiKey) {
   if (!apiKey) {
     openaiImage = new OpenAI({
+      // Azureは東海岸しかDALL-Eが無いので新規に作る。TODO: ここだけ東海岸にする
       apiKey: azureOpenAiApiKey,
       baseURL: `https://${process.env["AZURE_OPENAI_API_INSTANCE_NAME"]}.openai.azure.com/openai`,
       defaultQuery: { "api-version": process.env["AZURE_OPENAI_API_VERSION"] ?? "2023-08-01-preview" },
@@ -118,10 +128,6 @@ if (azureOpenAiApiKey) {
     openaiImage = new OpenAI({ apiKey });
   }
 }
-var model = process.env["OPENAI_MODEL_NAME"] ?? "gpt-3.5-turbo";
-var MAX_TOKENS = Number(process.env["OPENAI_MAX_TOKENS"] ?? 2e3);
-var temperature = Number(process.env["OPENAI_TEMPERATURE"] ?? 1);
-openAILog.debug({ model, max_tokens: MAX_TOKENS, temperature });
 var plugins = /* @__PURE__ */ new Map();
 var functions = [];
 function registerChatPlugin(plugin) {
@@ -211,7 +217,6 @@ async function createChatCompletion(messages, functions2 = void 0) {
   let tools = false;
   let currentOpenAi = openai;
   let currentModel = model;
-  const visionModel = process.env["OPENAI_VISION_MODEL_NAME"];
   if (visionModel) {
     messages.some((message) => {
       if (typeof message.content !== "string") {
@@ -702,6 +707,7 @@ ${(typeof messages[1].content === "string" ? messages[1].content : messages[1].c
 }
 
 // src/botservice.ts
+import sharp from "sharp";
 if (!global.FormData) {
   global.FormData = FormData3;
 }
@@ -796,8 +802,30 @@ async function getBase64Image(url) {
     matterMostLog.error(`Fech Image URL HTTP error! status: ${response.status}`);
     return "";
   }
-  const buffer = Buffer.from(await response.arrayBuffer());
-  const mimeType = response.headers.get("content-type");
+  let buffer = Buffer.from(await response.arrayBuffer());
+  let { width = 0, height = 0, format = "" } = await sharp(buffer).metadata();
+  if (!["png", "jpeg", "webp", "gif"].includes(format)) {
+    matterMostLog.warn(`Unsupported image format: ${format}. Converting to JPEG.`);
+    buffer = await sharp(buffer).jpeg().toBuffer();
+    format = "jpeg";
+  }
+  const shortEdge = 768;
+  const longEdge = 1024;
+  if (width > longEdge || height > longEdge) {
+    const resizeRatio = longEdge / Math.max(width, height);
+    width *= resizeRatio;
+    height *= resizeRatio;
+  }
+  if (Math.min(width, height) > shortEdge) {
+    const resizeRatio = shortEdge / Math.min(width, height);
+    width *= resizeRatio;
+    height *= resizeRatio;
+  }
+  buffer = await sharp(buffer).resize({
+    width: Math.round(width),
+    height: Math.round(height)
+  }).toBuffer();
+  const mimeType = `image/${format}`;
   const base64 = buffer.toString("base64");
   const dataURL = "data:" + mimeType + ";base64," + base64;
   return dataURL;