fix: type error

app/api/config/route.ts

@@ -13,7 +13,6 @@ const DANGER_CONFIG = {
   hideBalanceQuery: serverConfig.hideBalanceQuery,
   disableFastLink: serverConfig.disableFastLink,
   customModels: serverConfig.customModels,
-  visionModels: serverConfig.visionModels,
   defaultModel: serverConfig.defaultModel,
 };
 

app/client/platforms/anthropic.ts

@@ -84,12 +84,9 @@ export class ClaudeApi implements LLMApi {
     return res?.content?.[0]?.text;
   }
   async chat(options: ChatOptions): Promise<void> {
-    const accessStore = useAccessStore.getState();
+    const visionModel = isVisionModel(options.config.model);
 
-    const visionModel = isVisionModel(
-      options.config.model,
-      accessStore.visionModels,
-    );
+    const accessStore = useAccessStore.getState();
 
     const shouldStream = !!options.config.stream;
 

app/client/platforms/glm.ts

@@ -25,12 +25,103 @@ import { getMessageTextContent } from "@/app/utils";
 import { RequestPayload } from "./openai";
 import { fetch } from "@/app/utils/stream";
 
+interface BasePayload {
+  model: string;
+}
+
+interface ChatPayload extends BasePayload {
+  messages: ChatOptions["messages"];
+  stream?: boolean;
+  temperature?: number;
+  presence_penalty?: number;
+  frequency_penalty?: number;
+  top_p?: number;
+}
+
+interface ImageGenerationPayload extends BasePayload {
+  prompt: string;
+  size?: string;
+  user_id?: string;
+}
+
+interface VideoGenerationPayload extends BasePayload {
+  prompt: string;
+  duration?: number;
+  resolution?: string;
+  user_id?: string;
+}
+
+type ModelType = "chat" | "image" | "video";
+
 export class ChatGLMApi implements LLMApi {
   private disableListModels = true;
 
+  private getModelType(model: string): ModelType {
+    if (model.startsWith("cogview-")) return "image";
+    if (model.startsWith("cogvideo-")) return "video";
+    return "chat";
+  }
+
+  private getModelPath(type: ModelType): string {
+    switch (type) {
+      case "image":
+        return ChatGLM.ImagePath;
+      case "video":
+        return ChatGLM.VideoPath;
+      default:
+        return ChatGLM.ChatPath;
+    }
+  }
+
+  private createPayload(
+    messages: ChatOptions["messages"],
+    modelConfig: any,
+    options: ChatOptions,
+  ): BasePayload {
+    const modelType = this.getModelType(modelConfig.model);
+    const lastMessage = messages[messages.length - 1];
+    const prompt =
+      typeof lastMessage.content === "string"
+        ? lastMessage.content
+        : lastMessage.content.map((c) => c.text).join("\n");
+
+    switch (modelType) {
+      case "image":
+        return {
+          model: modelConfig.model,
+          prompt,
+          size: options.config.size,
+        } as ImageGenerationPayload;
+      default:
+        return {
+          messages,
+          stream: options.config.stream,
+          model: modelConfig.model,
+          temperature: modelConfig.temperature,
+          presence_penalty: modelConfig.presence_penalty,
+          frequency_penalty: modelConfig.frequency_penalty,
+          top_p: modelConfig.top_p,
+        } as ChatPayload;
+    }
+  }
+
+  private parseResponse(modelType: ModelType, json: any): string {
+    switch (modelType) {
+      case "image": {
+        const imageUrl = json.data?.[0]?.url;
+        return imageUrl ? `![Generated Image](${imageUrl})` : "";
+      }
+      case "video": {
+        const videoUrl = json.data?.[0]?.url;
+        return videoUrl ? `<video controls src="${videoUrl}"></video>` : "";
+      }
+      default:
+        return this.extractMessage(json);
+    }
+  }
+
   path(path: string): string {
     const accessStore = useAccessStore.getState();
-
     let baseUrl = "";
 
     if (accessStore.useCustomConfig) {
@@ -51,7 +142,6 @@ export class ChatGLMApi implements LLMApi {
     }
 
     console.log("[Proxy Endpoint] ", baseUrl, path);
-
     return [baseUrl, path].join("/");
   }
 
@@ -79,24 +169,16 @@ export class ChatGLMApi implements LLMApi {
       },
     };
 
-    const requestPayload: RequestPayload = {
-      messages,
-      stream: options.config.stream,
-      model: modelConfig.model,
-      temperature: modelConfig.temperature,
-      presence_penalty: modelConfig.presence_penalty,
-      frequency_penalty: modelConfig.frequency_penalty,
-      top_p: modelConfig.top_p,
-    };
+    const modelType = this.getModelType(modelConfig.model);
+    const requestPayload = this.createPayload(messages, modelConfig, options);
+    const path = this.path(this.getModelPath(modelType));
 
-    console.log("[Request] glm payload: ", requestPayload);
+    console.log(`[Request] glm ${modelType} payload: `, requestPayload);
 
-    const shouldStream = !!options.config.stream;
     const controller = new AbortController();
     options.onController?.(controller);
 
     try {
-      const chatPath = this.path(ChatGLM.ChatPath);
       const chatPayload = {
         method: "POST",
         body: JSON.stringify(requestPayload),
@@ -104,12 +186,23 @@ export class ChatGLMApi implements LLMApi {
         headers: getHeaders(),
       };
 
-      // make a fetch request
       const requestTimeoutId = setTimeout(
         () => controller.abort(),
         REQUEST_TIMEOUT_MS,
       );
 
+      if (modelType === "image" || modelType === "video") {
+        const res = await fetch(path, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        console.log(`[Response] glm ${modelType}:`, resJson);
+        const message = this.parseResponse(modelType, resJson);
+        options.onFinish(message, res);
+        return;
+      }
+
+      const shouldStream = !!options.config.stream;
       if (shouldStream) {
         const [tools, funcs] = usePluginStore
           .getState()
@@ -117,7 +210,7 @@ export class ChatGLMApi implements LLMApi {
             useChatStore.getState().currentSession().mask?.plugin || [],
           );
         return stream(
-          chatPath,
+          path,
           requestPayload,
           getHeaders(),
           tools as any,
@@ -125,7 +218,6 @@ export class ChatGLMApi implements LLMApi {
           controller,
           // parseSSE
           (text: string, runTools: ChatMessageTool[]) => {
-            // console.log("parseSSE", text, runTools);
             const json = JSON.parse(text);
             const choices = json.choices as Array<{
               delta: {
@@ -154,7 +246,7 @@ export class ChatGLMApi implements LLMApi {
             }
             return choices[0]?.delta?.content;
           },
-          // processToolMessage, include tool_calls message and tool call results
+          // processToolMessage
           (
             requestPayload: RequestPayload,
             toolCallMessage: any,
@@ -172,7 +264,7 @@ export class ChatGLMApi implements LLMApi {
           options,
         );
       } else {
-        const res = await fetch(chatPath, chatPayload);
+        const res = await fetch(path, chatPayload);
         clearTimeout(requestTimeoutId);
 
         const resJson = await res.json();
@@ -184,6 +276,7 @@ export class ChatGLMApi implements LLMApi {
       options.onError?.(e as Error);
     }
   }
+
   async usage() {
     return {
       used: 0,

app/client/platforms/google.ts

@@ -83,7 +83,7 @@ export class GeminiProApi implements LLMApi {
     }
     const messages = _messages.map((v) => {
       let parts: any[] = [{ text: getMessageTextContent(v) }];
-      if (isVisionModel(options.config.model, accessStore.visionModels)) {
+      if (isVisionModel(options.config.model)) {
         const images = getMessageImages(v);
         if (images.length > 0) {
           multimodal = true;

app/client/platforms/openai.ts

@@ -24,7 +24,7 @@ import {
   stream,
 } from "@/app/utils/chat";
 import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
-import { DalleSize, DalleQuality, DalleStyle } from "@/app/typing";
+import { ModelSize, DalleQuality, DalleStyle } from "@/app/typing";
 
 import {
   ChatOptions,
@@ -73,7 +73,7 @@ export interface DalleRequestPayload {
   prompt: string;
   response_format: "url" | "b64_json";
   n: number;
-  size: DalleSize;
+  size: ModelSize;
   quality: DalleQuality;
   style: DalleStyle;
 }
@@ -194,8 +194,6 @@ export class ChatGPTApi implements LLMApi {
 
     let requestPayload: RequestPayload | DalleRequestPayload;
 
-    const accessStore = useAccessStore.getState();
-
     const isDalle3 = _isDalle3(options.config.model);
     const isO1 = options.config.model.startsWith("o1");
     if (isDalle3) {
@@ -213,10 +211,7 @@ export class ChatGPTApi implements LLMApi {
         style: options.config?.style ?? "vivid",
       };
     } else {
-      const visionModel = isVisionModel(
-        options.config.model,
-        accessStore.visionModels,
-      );
+      const visionModel = isVisionModel(options.config.model);
       const messages: ChatOptions["messages"] = [];
       for (const v of options.messages) {
         const content = visionModel

app/client/platforms/tencent.ts

@@ -94,11 +94,7 @@ export class HunyuanApi implements LLMApi {
   }
 
   async chat(options: ChatOptions) {
-    const accessStore = useAccessStore.getState();
-    const visionModel = isVisionModel(
-      options.config.model,
-      accessStore.visionModels,
-    );
+    const visionModel = isVisionModel(options.config.model);
     const messages = options.messages.map((v, index) => ({
       // "Messages 中 system 角色必须位于列表的最开始"
       role: index !== 0 && v.role === "system" ? "user" : v.role,

app/components/chat.tsx

@@ -72,6 +72,8 @@ import {
   isDalle3,
   showPlugins,
   safeLocalStorage,
+  getModelSizes,
+  supportsCustomSize,
 } from "../utils";
 
 import { uploadImage as uploadImageRemote } from "@/app/utils/chat";
@@ -79,7 +81,7 @@ import { uploadImage as uploadImageRemote } from "@/app/utils/chat";
 import dynamic from "next/dynamic";
 
 import { ChatControllerPool } from "../client/controller";
-import { DalleSize, DalleQuality, DalleStyle } from "../typing";
+import { DalleQuality, DalleStyle, ModelSize } from "../typing";
 import { Prompt, usePromptStore } from "../store/prompt";
 import Locale from "../locales";
 
@@ -490,7 +492,6 @@ export function ChatActions(props: {
   const currentProviderName =
     session.mask.modelConfig?.providerName || ServiceProvider.OpenAI;
   const allModels = useAllModels();
-  const customVisionModels = useAccessStore().visionModels;
   const models = useMemo(() => {
     const filteredModels = allModels.filter((m) => m.available);
     const defaultModel = filteredModels.find((m) => m.isDefault);
@@ -520,17 +521,18 @@ export function ChatActions(props: {
   const [showSizeSelector, setShowSizeSelector] = useState(false);
   const [showQualitySelector, setShowQualitySelector] = useState(false);
   const [showStyleSelector, setShowStyleSelector] = useState(false);
-  const dalle3Sizes: DalleSize[] = ["1024x1024", "1792x1024", "1024x1792"];
+  const modelSizes = getModelSizes(currentModel);
   const dalle3Qualitys: DalleQuality[] = ["standard", "hd"];
   const dalle3Styles: DalleStyle[] = ["vivid", "natural"];
-  const currentSize = session.mask.modelConfig?.size ?? "1024x1024";
+  const currentSize =
+    session.mask.modelConfig?.size ?? ("1024x1024" as ModelSize);
   const currentQuality = session.mask.modelConfig?.quality ?? "standard";
   const currentStyle = session.mask.modelConfig?.style ?? "vivid";
 
   const isMobileScreen = useMobileScreen();
 
   useEffect(() => {
-    const show = isVisionModel(currentModel, customVisionModels);
+    const show = isVisionModel(currentModel);
     setShowUploadImage(show);
     if (!show) {
       props.setAttachImages([]);
@@ -674,7 +676,7 @@ export function ChatActions(props: {
           />
         )}
 
-        {isDalle3(currentModel) && (
+        {supportsCustomSize(currentModel) && (
           <ChatAction
             onClick={() => setShowSizeSelector(true)}
             text={currentSize}
@@ -685,7 +687,7 @@ export function ChatActions(props: {
         {showSizeSelector && (
           <Selector
             defaultSelectedValue={currentSize}
-            items={dalle3Sizes.map((m) => ({
+            items={modelSizes.map((m) => ({
               title: m,
               value: m,
             }))}
@@ -1411,7 +1413,6 @@ function _Chat() {
         const payload = JSON.parse(text) as {
           key?: string;
           url?: string;
-          code?: string;
         };
 
         console.log("[Command] got settings from url: ", payload);
@@ -1433,16 +1434,6 @@ function _Chat() {
             accessStore.update((access) => (access.useCustomConfig = true));
           });
         }
-
-        if (payload.code) {
-          accessStore.update((access) => (access.accessCode = payload.code!));
-          if (accessStore.isAuthorized()) {
-            context.pop();
-            const copiedHello = Object.assign({}, BOT_HELLO);
-            context.push(copiedHello);
-            setUserInput(" ");
-          }
-        }
       } catch {
         console.error("[Command] failed to get settings from url: ", text);
       }
@@ -1469,12 +1460,10 @@ function _Chat() {
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, []);
 
-  const customVisionModels = useAccessStore().visionModels;
-
   const handlePaste = useCallback(
     async (event: React.ClipboardEvent<HTMLTextAreaElement>) => {
       const currentModel = chatStore.currentSession().mask.modelConfig.model;
-      if (!isVisionModel(currentModel, customVisionModels)) {
+      if (!isVisionModel(currentModel)) {
         return;
       }
       const items = (event.clipboardData || window.clipboardData).items;
@@ -1511,7 +1500,7 @@ function _Chat() {
         }
       }
     },
-    [attachImages, chatStore, customVisionModels],
+    [attachImages, chatStore],
   );
 
   async function uploadImage() {
@@ -1559,7 +1548,7 @@ function _Chat() {
     setAttachImages(images);
   }
 
-  // 捷键 shortcut keys
+  // 快捷键 shortcut keys
   const [showShortcutKeyModal, setShowShortcutKeyModal] = useState(false);
 
   useEffect(() => {

app/config/server.ts

@@ -21,7 +21,6 @@ declare global {
       ENABLE_BALANCE_QUERY?: string; // allow user to query balance or not
       DISABLE_FAST_LINK?: string; // disallow parse settings from url or not
       CUSTOM_MODELS?: string; // to control custom models
-      VISION_MODELS?: string; // to control vision models
       DEFAULT_MODEL?: string; // to control default model in every new chat window
 
       // stability only
@@ -124,16 +123,13 @@ export const getServerSideConfig = () => {
 
   const disableGPT4 = !!process.env.DISABLE_GPT4;
   let customModels = process.env.CUSTOM_MODELS ?? "";
-  let visionModels = process.env.VISION_MODELS ?? "";
   let defaultModel = process.env.DEFAULT_MODEL ?? "";
 
   if (disableGPT4) {
     if (customModels) customModels += ",";
     customModels += DEFAULT_MODELS.filter(
       (m) =>
-        (m.name.startsWith("gpt-4") ||
-          m.name.startsWith("chatgpt-4o") ||
-          m.name.startsWith("o1")) &&
+        (m.name.startsWith("gpt-4") || m.name.startsWith("chatgpt-4o") || m.name.startsWith("o1")) &&
         !m.name.startsWith("gpt-4o-mini"),
     )
       .map((m) => "-" + m.name)
@@ -251,7 +247,6 @@ export const getServerSideConfig = () => {
     hideBalanceQuery: !process.env.ENABLE_BALANCE_QUERY,
     disableFastLink: !!process.env.DISABLE_FAST_LINK,
     customModels,
-    visionModels,
     defaultModel,
     allowedWebDavEndpoints,
   };

app/constant.ts

@@ -233,6 +233,8 @@ export const XAI = {
 export const ChatGLM = {
   ExampleEndpoint: CHATGLM_BASE_URL,
   ChatPath: "api/paas/v4/chat/completions",
+  ImagePath: "api/paas/v4/images/generations",
+  VideoPath: "api/paas/v4/videos/generations",
 };
 
 export const DEFAULT_INPUT_TEMPLATE = `{{input}}`; // input / time / model / lang
@@ -431,6 +433,15 @@ const chatglmModels = [
   "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
 ];
 
 let seq = 1000; // 内置的模型序号生成器从1000开始

app/store/access.ts

@@ -123,7 +123,6 @@ const DEFAULT_ACCESS_STATE = {
   disableGPT4: false,
   disableFastLink: false,
   customModels: "",
-  visionModels: "",
   defaultModel: "",
 
   // tts config

app/store/config.ts

@@ -1,9 +1,10 @@
 import { LLMModel } from "../client/api";
-import { DalleSize, DalleQuality, DalleStyle } from "../typing";
+import { DalleQuality, DalleStyle, ModelSize } from "../typing";
 import { getClientConfig } from "../config/client";
 import {
   DEFAULT_INPUT_TEMPLATE,
   DEFAULT_MODELS,
+  DEFAULT_SIDEBAR_WIDTH,
   DEFAULT_TTS_ENGINE,
   DEFAULT_TTS_ENGINES,
   DEFAULT_TTS_MODEL,
@@ -45,20 +46,18 @@ export const DEFAULT_CONFIG = {
   fontSize: 14,
   fontFamily: "",
   theme: Theme.Auto as Theme,
-  // tightBorder: !!config?.isApp,
-  tightBorder: true,
-  sendPreviewBubble: false,
+  tightBorder: !!config?.isApp,
+  sendPreviewBubble: true,
   enableAutoGenerateTitle: true,
-  // sidebarWidth: DEFAULT_SIDEBAR_WIDTH,
-  sidebarWidth: 100,
+  sidebarWidth: DEFAULT_SIDEBAR_WIDTH,
 
   enableArtifacts: true, // show artifacts config
 
   enableCodeFold: true, // code fold config
 
-  disablePromptHint: true,
+  disablePromptHint: false,
 
-  dontShowMaskSplashScreen: true, // dont show splash screen when create chat
+  dontShowMaskSplashScreen: false, // dont show splash screen when create chat
   hideBuiltinMasks: false, // dont add builtin masks
 
   customModels: "",
@@ -69,17 +68,17 @@ export const DEFAULT_CONFIG = {
     providerName: "OpenAI" as ServiceProvider,
     temperature: 0.5,
     top_p: 1,
-    max_tokens: 8000,
+    max_tokens: 4000,
     presence_penalty: 0,
     frequency_penalty: 0,
     sendMemory: true,
-    historyMessageCount: 16,
-    compressMessageLengthThreshold: 1000000,
+    historyMessageCount: 4,
+    compressMessageLengthThreshold: 1000,
     compressModel: "",
     compressProviderName: "",
     enableInjectSystemPrompts: true,
     template: config?.template ?? DEFAULT_INPUT_TEMPLATE,
-    size: "1024x1024" as DalleSize,
+    size: "1024x1024" as ModelSize,
     quality: "standard" as DalleQuality,
     style: "vivid" as DalleStyle,
   },

app/typing.ts

@@ -11,3 +11,14 @@ export interface RequestMessage {
 export type DalleSize = "1024x1024" | "1792x1024" | "1024x1792";
 export type DalleQuality = "standard" | "hd";
 export type DalleStyle = "vivid" | "natural";
+
+export type ModelSize =
+  | "1024x1024"
+  | "1792x1024"
+  | "1024x1792"
+  | "768x1344"
+  | "864x1152"
+  | "1344x768"
+  | "1152x864"
+  | "1440x720"
+  | "720x1440";

app/utils.ts

@@ -7,7 +7,7 @@ import { ServiceProvider } from "./constant";
 import { fetch as tauriStreamFetch } from "./utils/stream";
 import { VISION_MODEL_REGEXES, EXCLUDE_VISION_MODEL_REGEXES } from "./constant";
 import { getClientConfig } from "./config/client";
-import { getModelProvider } from "./utils/model";
+import { ModelSize } from "./typing";
 
 export function trimTopic(topic: string) {
   // Fix an issue where double quotes still show in the Indonesian language
@@ -254,15 +254,12 @@ export function getMessageImages(message: RequestMessage): string[] {
   return urls;
 }
 
-export function isVisionModel(model: string, customVisionModels: string) {
+export function isVisionModel(model: string) {
   const clientConfig = getClientConfig();
-  const allVisionModelsList = [customVisionModels, clientConfig?.visionModels]
-    ?.join(",")
-    .split(",")
-    .map((m) => m.trim())
-    .filter(Boolean)
-    .map((m) => getModelProvider(m)[0]);
-  if (allVisionModelsList?.includes(model)) {
+  const envVisionModels = clientConfig?.visionModels
+    ?.split(",")
+    .map((m) => m.trim());
+  if (envVisionModels?.includes(model)) {
     return true;
   }
   return (
@@ -275,6 +272,28 @@ export function isDalle3(model: string) {
   return "dall-e-3" === model;
 }
 
+export function getModelSizes(model: string): ModelSize[] {
+  if (isDalle3(model)) {
+    return ["1024x1024", "1792x1024", "1024x1792"];
+  }
+  if (model.toLowerCase().includes("cogview")) {
+    return [
+      "1024x1024",
+      "768x1344",
+      "864x1152",
+      "1344x768",
+      "1152x864",
+      "1440x720",
+      "720x1440",
+    ];
+  }
+  return [];
+}
+
+export function supportsCustomSize(model: string): boolean {
+  return getModelSizes(model).length > 0;
+}
+
 export function showPlugins(provider: ServiceProvider, model: string) {
   if (
     provider == ServiceProvider.OpenAI ||

test/vision-model-checker.test.ts

@@ -2,7 +2,6 @@ import { isVisionModel } from "../app/utils";
 
 describe("isVisionModel", () => {
   const originalEnv = process.env;
-  const customVisionModels = "custom-vlm,another-vlm";
 
   beforeEach(() => {
     jest.resetModules();
@@ -28,12 +27,12 @@ describe("isVisionModel", () => {
     ];
 
     visionModels.forEach((model) => {
-      expect(isVisionModel(model, customVisionModels)).toBe(true);
+      expect(isVisionModel(model)).toBe(true);
     });
   });
 
   test("should exclude specific models", () => {
-    expect(isVisionModel("claude-3-5-haiku-20241022", customVisionModels)).toBe(false);
+    expect(isVisionModel("claude-3-5-haiku-20241022")).toBe(false);
   });
 
   test("should not identify non-vision models", () => {
@@ -45,26 +44,24 @@ describe("isVisionModel", () => {
     ];
 
     nonVisionModels.forEach((model) => {
-      expect(isVisionModel(model, customVisionModels)).toBe(false);
+      expect(isVisionModel(model)).toBe(false);
     });
   });
 
   test("should identify models from VISION_MODELS env var", () => {
     process.env.VISION_MODELS = "custom-vision-model,another-vision-model";
-
-    expect(isVisionModel("custom-vision-model", customVisionModels)).toBe(true);
-    expect(isVisionModel("another-vision-model", customVisionModels)).toBe(true);
-    expect(isVisionModel("custom-vlm", customVisionModels)).toBe(true);
-    expect(isVisionModel("another-vlm", customVisionModels)).toBe(true);
-    expect(isVisionModel("unrelated-model", customVisionModels)).toBe(false);
+    
+    expect(isVisionModel("custom-vision-model")).toBe(true);
+    expect(isVisionModel("another-vision-model")).toBe(true);
+    expect(isVisionModel("unrelated-model")).toBe(false);
   });
 
   test("should handle empty or missing VISION_MODELS", () => {
     process.env.VISION_MODELS = "";
-    expect(isVisionModel("unrelated-model", customVisionModels)).toBe(false);
+    expect(isVisionModel("unrelated-model")).toBe(false);
 
     delete process.env.VISION_MODELS;
-    expect(isVisionModel("unrelated-model", customVisionModels)).toBe(false);
-    expect(isVisionModel("gpt-4-vision", customVisionModels)).toBe(true);
+    expect(isVisionModel("unrelated-model")).toBe(false);
+    expect(isVisionModel("gpt-4-vision")).toBe(true);
   });
 });