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Merge pull request #5919 from Yiming3/feature/flexible-visual-model
feat: runtime configuration of vision-capable models
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commit
1d15666713
@ -355,6 +355,13 @@ For ByteDance: use `modelName@bytedance=deploymentName` to customize model name
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Change default model
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### `VISION_MODELS` (optional)
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> Default: Empty
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> Example: `gpt-4-vision,claude-3-opus,my-custom-model` means add vision capabilities to these models in addition to the default pattern matches (which detect models containing keywords like "vision", "claude-3", "gemini-1.5", etc).
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Add additional models to have vision capabilities, beyond the default pattern matching. Multiple models should be separated by commas.
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### `WHITE_WEBDAV_ENDPOINTS` (optional)
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You can use this option if you want to increase the number of webdav service addresses you are allowed to access, as required by the format:
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@ -235,6 +235,13 @@ ChatGLM Api Url.
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更改默认模型
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### `VISION_MODELS` (可选)
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> 默认值:空
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> 示例:`gpt-4-vision,claude-3-opus,my-custom-model` 表示为这些模型添加视觉能力,作为对默认模式匹配的补充(默认会检测包含"vision"、"claude-3"、"gemini-1.5"等关键词的模型)。
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在默认模式匹配之外,添加更多具有视觉能力的模型。多个模型用逗号分隔。
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### `DEFAULT_INPUT_TEMPLATE` (可选)
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自定义默认的 template,用于初始化『设置』中的『用户输入预处理』配置项
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@ -217,6 +217,13 @@ ByteDance モードでは、`modelName@bytedance=deploymentName` 形式でモデ
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デフォルトのモデルを変更します。
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### `VISION_MODELS` (オプション)
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> デフォルト:空
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> 例:`gpt-4-vision,claude-3-opus,my-custom-model` は、これらのモデルにビジョン機能を追加します。これはデフォルトのパターンマッチング("vision"、"claude-3"、"gemini-1.5"などのキーワードを含むモデルを検出)に加えて適用されます。
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デフォルトのパターンマッチングに加えて、追加のモデルにビジョン機能を付与します。複数のモデルはカンマで区切ります。
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### `DEFAULT_INPUT_TEMPLATE` (オプション)
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『設定』の『ユーザー入力前処理』の初期設定に使用するテンプレートをカスタマイズします。
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@ -40,6 +40,7 @@ export const getBuildConfig = () => {
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buildMode,
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isApp,
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template: process.env.DEFAULT_INPUT_TEMPLATE ?? DEFAULT_INPUT_TEMPLATE,
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visionModels: process.env.VISION_MODELS || "",
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};
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};
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@ -291,6 +291,22 @@ export const DEFAULT_TTS_VOICES = [
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"shimmer",
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];
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export const VISION_MODEL_REGEXES = [
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/vision/,
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/gpt-4o/,
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/claude-3/,
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/gemini-1\.5/,
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/gemini-exp/,
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/gemini-2\.0/,
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/learnlm/,
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/qwen-vl/,
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/qwen2-vl/,
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/gpt-4-turbo(?!.*preview)/, // Matches "gpt-4-turbo" but not "gpt-4-turbo-preview"
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/^dall-e-3$/, // Matches exactly "dall-e-3"
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];
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export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
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const openaiModels = [
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"gpt-3.5-turbo",
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"gpt-3.5-turbo-1106",
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32
app/utils.ts
32
app/utils.ts
@ -5,6 +5,8 @@ import { RequestMessage } from "./client/api";
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import { ServiceProvider } from "./constant";
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// import { fetch as tauriFetch, ResponseType } from "@tauri-apps/api/http";
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import { fetch as tauriStreamFetch } from "./utils/stream";
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import { VISION_MODEL_REGEXES, EXCLUDE_VISION_MODEL_REGEXES } from "./constant";
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import { getClientConfig } from "./config/client";
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export function trimTopic(topic: string) {
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// Fix an issue where double quotes still show in the Indonesian language
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@ -252,28 +254,16 @@ export function getMessageImages(message: RequestMessage): string[] {
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}
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export function isVisionModel(model: string) {
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// Note: This is a better way using the TypeScript feature instead of `&&` or `||` (ts v5.5.0-dev.20240314 I've been using)
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const excludeKeywords = ["claude-3-5-haiku-20241022"];
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const visionKeywords = [
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"vision",
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"gpt-4o",
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"claude-3",
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"gemini-1.5",
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"gemini-exp",
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"gemini-2.0",
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"learnlm",
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"qwen-vl",
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"qwen2-vl",
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];
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const isGpt4Turbo =
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model.includes("gpt-4-turbo") && !model.includes("preview");
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const clientConfig = getClientConfig();
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const envVisionModels = clientConfig?.visionModels
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?.split(",")
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.map((m) => m.trim());
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if (envVisionModels?.includes(model)) {
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return true;
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}
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return (
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!excludeKeywords.some((keyword) => model.includes(keyword)) &&
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(visionKeywords.some((keyword) => model.includes(keyword)) ||
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isGpt4Turbo ||
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isDalle3(model))
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!EXCLUDE_VISION_MODEL_REGEXES.some((regex) => regex.test(model)) &&
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VISION_MODEL_REGEXES.some((regex) => regex.test(model))
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);
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}
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67
test/vision-model-checker.test.ts
Normal file
67
test/vision-model-checker.test.ts
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@ -0,0 +1,67 @@
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import { isVisionModel } from "../app/utils";
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describe("isVisionModel", () => {
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const originalEnv = process.env;
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beforeEach(() => {
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jest.resetModules();
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process.env = { ...originalEnv };
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});
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afterEach(() => {
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process.env = originalEnv;
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});
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test("should identify vision models using regex patterns", () => {
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const visionModels = [
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"gpt-4-vision",
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"claude-3-opus",
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"gemini-1.5-pro",
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"gemini-2.0",
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"gemini-exp-vision",
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"learnlm-vision",
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"qwen-vl-max",
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"qwen2-vl-max",
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"gpt-4-turbo",
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"dall-e-3",
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];
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visionModels.forEach((model) => {
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expect(isVisionModel(model)).toBe(true);
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});
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});
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test("should exclude specific models", () => {
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expect(isVisionModel("claude-3-5-haiku-20241022")).toBe(false);
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});
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test("should not identify non-vision models", () => {
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const nonVisionModels = [
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"gpt-3.5-turbo",
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"gpt-4-turbo-preview",
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"claude-2",
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"regular-model",
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];
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nonVisionModels.forEach((model) => {
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expect(isVisionModel(model)).toBe(false);
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});
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});
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test("should identify models from VISION_MODELS env var", () => {
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process.env.VISION_MODELS = "custom-vision-model,another-vision-model";
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expect(isVisionModel("custom-vision-model")).toBe(true);
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expect(isVisionModel("another-vision-model")).toBe(true);
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expect(isVisionModel("unrelated-model")).toBe(false);
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});
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test("should handle empty or missing VISION_MODELS", () => {
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process.env.VISION_MODELS = "";
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expect(isVisionModel("unrelated-model")).toBe(false);
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delete process.env.VISION_MODELS;
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expect(isVisionModel("unrelated-model")).toBe(false);
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expect(isVisionModel("gpt-4-vision")).toBe(true);
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});
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});
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