Update test.yml

.github/workflows/test.yml

@@ -21,19 +21,19 @@ jobs:
       - name: Set up Node.js
         uses: actions/setup-node@v3
         with:
-          node-version: 18
-          cache: "yarn"
+          node-version: 23
+          cache: 'npm'
 
       - name: Cache node_modules
         uses: actions/cache@v4
         with:
           path: node_modules
-          key: ${{ runner.os }}-node_modules-${{ hashFiles('**/yarn.lock') }}
+          key: ${{ runner.os }}-node_modules-${{ hashFiles('**/package-lock.json') }}
           restore-keys: |
             ${{ runner.os }}-node_modules-
 
       - name: Install dependencies
-        run: yarn install
+        run: npm install
 
       - name: Run Jest tests
-        run: yarn test:ci
+        run: npm run test:ci

Dockerfile

@@ -1,4 +1,4 @@
-FROM node:18-alpine AS base
+FROM node:23-alpine AS base
 
 FROM base AS deps
 
@@ -6,24 +6,20 @@ RUN apk add --no-cache libc6-compat
 
 WORKDIR /app
 
-COPY package.json yarn.lock ./
+COPY package.json package-lock.json ./
 
-RUN yarn config set registry 'https://registry.npmmirror.com/'
-RUN yarn install
+RUN npm config set registry 'https://registry.npmmirror.com/'
+RUN npm install
 
 FROM base AS builder
 
 RUN apk update && apk add --no-cache git
 
-ENV OPENAI_API_KEY=""
-ENV GOOGLE_API_KEY=""
-ENV CODE=""
-
 WORKDIR /app
 COPY --from=deps /app/node_modules ./node_modules
 COPY . .
 
-RUN yarn build
+RUN npm run build
 
 FROM base AS runner
 WORKDIR /app
@@ -33,6 +29,8 @@ RUN apk add proxychains-ng
 ENV PROXY_URL=""
 ENV OPENAI_API_KEY=""
 ENV GOOGLE_API_KEY=""
+ENV ANTHROPIC_API_KEY=""
+ENV VISION_MODELS=""
 ENV CODE=""
 ENV ENABLE_MCP=""
 

app/client/platforms/openai.ts

@@ -200,7 +200,8 @@ export class ChatGPTApi implements LLMApi {
     const isDalle3 = _isDalle3(options.config.model);
     const isO1 = options.config.model.startsWith("o1");
     const isO3 = options.config.model.startsWith("o3");
-    const isO1OrO3 = isO1 || isO3;
+    const isO4 = options.config.model.startsWith("o4");
+    const isO1OrO3orO4 = isO1 || isO3 || isO4;
     if (isDalle3) {
       const prompt = getMessageTextContent(
         options.messages.slice(-1)?.pop() as any,
@@ -222,7 +223,7 @@ export class ChatGPTApi implements LLMApi {
         const content = visionModel
           ? await preProcessImageContent(v.content)
           : getMessageTextContent(v);
-        if (!(isO1OrO3 && v.role === "system"))
+        if (!(isO1OrO3orO4 && v.role === "system"))
           messages.push({ role: v.role, content });
       }
 
@@ -231,28 +232,28 @@ export class ChatGPTApi implements LLMApi {
         messages,
         stream: options.config.stream,
         model: modelConfig.model,
-        temperature: !isO1OrO3 ? modelConfig.temperature : 1,
-        presence_penalty: !isO1OrO3 ? modelConfig.presence_penalty : 0,
-        frequency_penalty: !isO1OrO3 ? modelConfig.frequency_penalty : 0,
-        top_p: !isO1OrO3 ? modelConfig.top_p : 1,
+        temperature: !isO1OrO3orO4 ? modelConfig.temperature : 1,
+        presence_penalty: !isO1OrO3orO4 ? modelConfig.presence_penalty : 0,
+        frequency_penalty: !isO1OrO3orO4 ? modelConfig.frequency_penalty : 0,
+        top_p: !isO1OrO3orO4 ? modelConfig.top_p : 1,
         // max_tokens: Math.max(modelConfig.max_tokens, 1024),
         // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
       };
 
       // O1 使用 max_completion_tokens 控制token数 (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
-      if (isO1OrO3) {
-        requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
+      if (isO1OrO3orO4) {
+        requestPayload["max_completion_tokens"] = 20000;
       }
 
-      if (isO3) {
+      if (isO4) {
         requestPayload["reasoning_effort"] = "high";
-        // make o3-mini defaults to high reasoning effort
+        // make o4-mini defaults to high reasoning effort
       }
 
       // add max_tokens to vision model
       if (visionModel) {
-        if (isO1) {
-          requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
+        if (isO1OrO3orO4) {
+          requestPayload["max_completion_tokens"] = 20000;
         } else {
           requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
         }

app/constant.ts

@@ -416,12 +416,13 @@ export const KnowledgeCutOffDate: Record<string, string> = {
   default: "2023-10",
   // After improvements,
   // it's now easier to add "KnowledgeCutOffDate" instead of stupid hardcoding it, as was done previously.
-  "gemini-2.5-pro-exp-03-25": "2025-01",
-  "gemini-2.0-flash": "2024-08",
+  "gemini-2.5-pro-preview-03-25": "2025-01",
+  "gemini-2.5-flash-preview-04-17": "2025-01",
   "claude-3-7-sonnet-latest": "2024-10",
   "claude-3-5-haiku-latest": "2024-10",
   "gpt-4.1": "2024-06",
   "gpt-4.1-mini": "2024-06",
+  "o4-mini": "2024-06",
   "deepseek-chat": "2024-07",
   "deepseek-coder": "2024-07",
 };
@@ -442,141 +443,48 @@ export const DEFAULT_TTS_VOICES = [
 
 export const VISION_MODEL_REGEXES = [
   /vision/,
-  /gpt-4\.1/,
+  /gpt-4/,
   /claude-3/,
-  /gemini-1\.5/,
-  /gemini-exp/,
-  /gemini-2\.0/,
-  /gemini-2\.5-pro/,
-  /learnlm/,
-  /qwen-vl/,
-  /qwen2-vl/,
-  /gpt-4-turbo(?!.*preview)/, // Matches "gpt-4-turbo" but not "gpt-4-turbo-preview"
+  /gemini/,
   /^dall-e-3$/, // Matches exactly "dall-e-3"
-  /glm-4v/,
-  /vl/i,
   /o1/,
+  /o3/,
+  /o4/,
 ];
 
 export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
 
-const openaiModels = ["dall-e-3", "o1", "o3-mini", "gpt-4.1", "gpt-4.1-mini"];
+const openaiModels = ["dall-e-3", "o1", "o4-mini", "gpt-4.1", "gpt-4.1-mini"];
 
 const googleModels = [
-  "gemini-2.0-flash",
-  "gemini-2.0-flash-lite",
-  "gemini-2.5-pro-exp-03-25",
+  "gemini-2.5-flash-preview-04-17",
+  "gemini-2.5-pro-preview-03-25",
 ];
 
 const anthropicModels = [
-  "claude-3-opus-latest",
-  "claude-3-5-haiku-latest",
   "claude-3-5-sonnet-latest",
   "claude-3-7-sonnet-latest",
 ];
 
-const baiduModels = [
-  "ernie-4.0-turbo-8k",
-  "ernie-4.0-8k",
-  "ernie-4.0-8k-preview",
-  "ernie-4.0-8k-preview-0518",
-  "ernie-4.0-8k-latest",
-  "ernie-3.5-8k",
-  "ernie-3.5-8k-0205",
-  "ernie-speed-128k",
-  "ernie-speed-8k",
-  "ernie-lite-8k",
-  "ernie-tiny-8k",
-];
+const baiduModels = ["ernie-4.0-turbo-8k"];
 
-const bytedanceModels = [
-  "Doubao-lite-4k",
-  "Doubao-lite-32k",
-  "Doubao-lite-128k",
-  "Doubao-pro-4k",
-  "Doubao-pro-32k",
-  "Doubao-pro-128k",
-];
+const bytedanceModels = ["Doubao-pro-128k"];
 
-const alibabaModes = [
-  "qwen-turbo",
-  "qwen-plus",
-  "qwen-max",
-  "qwen-max-0428",
-  "qwen-max-0403",
-  "qwen-max-0107",
-  "qwen-max-longcontext",
-  "qwen-omni-turbo",
-  "qwen-vl-plus",
-  "qwen-vl-max",
-];
+const alibabaModes = ["qwen-vl-max"];
 
-const tencentModels = [
-  "hunyuan-pro",
-  "hunyuan-standard",
-  "hunyuan-lite",
-  "hunyuan-role",
-  "hunyuan-functioncall",
-  "hunyuan-code",
-  "hunyuan-vision",
-];
+const tencentModels = ["hunyuan-code"];
 
-const moonshotModes = ["moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k"];
+const moonshotModes = ["moonshot-v1-128k"];
 
-const iflytekModels = [
-  "general",
-  "generalv3",
-  "pro-128k",
-  "generalv3.5",
-  "4.0Ultra",
-];
+const iflytekModels = ["4.0Ultra"];
 
 const deepseekModels = ["deepseek-chat", "deepseek-coder", "deepseek-reasoner"];
 
-const xAIModes = [
-  "grok-beta",
-  "grok-2",
-  "grok-2-1212",
-  "grok-2-latest",
-  "grok-vision-beta",
-  "grok-2-vision-1212",
-  "grok-2-vision",
-  "grok-2-vision-latest",
-];
+const xAIModes = ["grok-2-vision-latest"];
 
-const chatglmModels = [
-  "glm-4-plus",
-  "glm-4-0520",
-  "glm-4",
-  "glm-4-air",
-  "glm-4-airx",
-  "glm-4-long",
-  "glm-4-flashx",
-  "glm-4-flash",
-  "glm-4v-plus",
-  "glm-4v",
-  "glm-4v-flash", // free
-  "cogview-3-plus",
-  "cogview-3",
-  "cogview-3-flash", // free
-  // 目前无法适配轮询任务
-  //   "cogvideox",
-  //   "cogvideox-flash", // free
-];
+const chatglmModels = ["glm-4-plus"];
 
 const siliconflowModels = [
-  "Qwen/Qwen2.5-7B-Instruct",
-  "Qwen/Qwen2.5-72B-Instruct",
-  "deepseek-ai/DeepSeek-R1",
-  "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
-  "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
-  "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
-  "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
-  "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
-  "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
-  "deepseek-ai/DeepSeek-V3",
-  "meta-llama/Llama-3.3-70B-Instruct",
-  "THUDM/glm-4-9b-chat",
   "Pro/deepseek-ai/DeepSeek-R1",
   "Pro/deepseek-ai/DeepSeek-V3",
 ];
@@ -596,7 +504,7 @@ export const DEFAULT_MODELS = [
   })),
   ...openaiModels.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "azure",
@@ -629,7 +537,7 @@ export const DEFAULT_MODELS = [
   })),
   ...baiduModels.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "baidu",
@@ -640,7 +548,7 @@ export const DEFAULT_MODELS = [
   })),
   ...bytedanceModels.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "bytedance",
@@ -651,7 +559,7 @@ export const DEFAULT_MODELS = [
   })),
   ...alibabaModes.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "alibaba",
@@ -662,7 +570,7 @@ export const DEFAULT_MODELS = [
   })),
   ...tencentModels.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "tencent",
@@ -673,7 +581,7 @@ export const DEFAULT_MODELS = [
   })),
   ...moonshotModes.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "moonshot",
@@ -684,7 +592,7 @@ export const DEFAULT_MODELS = [
   })),
   ...iflytekModels.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "iflytek",
@@ -695,7 +603,7 @@ export const DEFAULT_MODELS = [
   })),
   ...xAIModes.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "xai",
@@ -706,7 +614,7 @@ export const DEFAULT_MODELS = [
   })),
   ...chatglmModels.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "chatglm",
@@ -717,7 +625,7 @@ export const DEFAULT_MODELS = [
   })),
   ...deepseekModels.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "deepseek",
@@ -728,7 +636,7 @@ export const DEFAULT_MODELS = [
   })),
   ...siliconflowModels.map((name) => ({
     name,
-    available: true,
+    available: false,
     sorted: seq++,
     provider: {
       id: "siliconflow",

app/utils.ts

@@ -303,6 +303,7 @@ export function getTimeoutMSByModel(model: string) {
     model.startsWith("dalle") ||
     model.startsWith("o1") ||
     model.startsWith("o3") ||
+    model.startsWith("o4") ||
     model.includes("deepseek-r") ||
     model.includes("-thinking") ||
     model.includes("pro")

app/utils/hooks.ts

@@ -1,16 +1,34 @@
 import { useMemo } from "react";
 import { useAccessStore, useAppConfig } from "../store";
 import { collectModelsWithDefaultModel } from "./model";
+import { ServiceProvider } from "../constant";
+
+// Define the allowed providers
+const allowedProviders = [
+  ServiceProvider.OpenAI,
+  ServiceProvider.Google,
+  ServiceProvider.Anthropic,
+];
 
 export function useAllModels() {
   const accessStore = useAccessStore();
   const configStore = useAppConfig();
   const models = useMemo(() => {
-    return collectModelsWithDefaultModel(
+    // First, collect all models including custom ones
+    const allModels = collectModelsWithDefaultModel(
       configStore.models,
       [configStore.customModels, accessStore.customModels].join(","),
       accessStore.defaultModel,
     );
+
+    // Then, filter the collected models based on the allowed providers
+    return allModels.filter(
+      (model) =>
+        model.provider &&
+        allowedProviders.includes(
+          model.provider.providerName as ServiceProvider,
+        ),
+    );
   }, [
     accessStore.customModels,
     accessStore.defaultModel,

test/vision-model-checker.test.ts

@@ -17,15 +17,10 @@ describe("isVisionModel", () => {
     const visionModels = [
       "gpt-4.1",
       "claude-3-opus",
-      "gemini-1.5-pro",
-      "gemini-2.0",
       "gemini-2.5-pro",
-      "gemini-exp-vision",
-      "learnlm-vision",
-      "qwen-vl-max",
-      "qwen2-vl-max",
-      "gpt-4-turbo",
+      "o4-mini",
       "dall-e-3",
+      "o1",
     ];
 
     visionModels.forEach((model) => {
@@ -38,12 +33,7 @@ describe("isVisionModel", () => {
   });
 
   test("should not identify non-vision models", () => {
-    const nonVisionModels = [
-      "gpt-3.5-turbo",
-      "gpt-4-turbo-preview",
-      "claude-2",
-      "regular-model",
-    ];
+    const nonVisionModels = ["gpt-3.5-turbo", "claude-2", "regular-model"];
 
     nonVisionModels.forEach((model) => {
       expect(isVisionModel(model)).toBe(false);