fix: #349

app/api/bytedance.ts

@@ -8,7 +8,7 @@ import {
 import { prettyObject } from "@/app/utils/format";
 import { NextRequest, NextResponse } from "next/server";
 import { auth } from "@/app/api/auth";
-import { isModelAvailableInServer } from "@/app/utils/model";
+import { isModelNotavailableInServer } from "@/app/utils/model";
 
 const serverConfig = getServerSideConfig();
 
@@ -88,7 +88,7 @@ async function request(req: NextRequest) {
 
       // not undefined and is false
       if (
-        isModelAvailableInServer(
+        isModelNotavailableInServer(
           serverConfig.customModels,
           jsonBody?.model as string,
           ServiceProvider.ByteDance as string,

app/client/platforms/anthropic.ts

@@ -28,7 +28,11 @@ import {
   isClaudeThinkingModel,
   isVisionModel,
 } from "@/app/utils";
-import { preProcessImageContent, streamWithThink } from "@/app/utils/chat";
+import {
+  preProcessImageAndWebReferenceContent,
+  preProcessImageContent,
+  streamWithThink,
+} from "@/app/utils/chat";
 import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
 import { RequestPayload } from "./openai";
 import { fetch } from "@/app/utils/stream";
@@ -290,7 +294,7 @@ export class ClaudeApi implements LLMApi {
     // try get base64image from local cache image_url
     const messages: ChatOptions["messages"] = [];
     for (const v of options.messages) {
-      const content = await preProcessImageContent(v.content);
+      const content = await preProcessImageAndWebReferenceContent(v);
       messages.push({ role: v.role, content });
     }
 

app/client/platforms/bytedance.ts

@@ -1,11 +1,12 @@
 "use client";
+import { ApiPath, ByteDance, BYTEDANCE_BASE_URL } from "@/app/constant";
 import {
-  ApiPath,
+  useAccessStore,
-  ByteDance,
+  useAppConfig,
-  BYTEDANCE_BASE_URL,
+  useChatStore,
-  REQUEST_TIMEOUT_MS,
+  ChatMessageTool,
-} from "@/app/constant";
+  usePluginStore,
-import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
+} from "@/app/store";
 
 import {
   AgentChatOptions,
@@ -18,16 +19,17 @@ import {
   SpeechOptions,
   TranscriptionOptions,
 } from "../api";
-import Locale from "../../locales";
+
 import {
-  EventStreamContentType,
+  preProcessImageAndWebReferenceContent,
-  fetchEventSource,
+  streamWithThink,
-} from "@fortaine/fetch-event-source";
+} from "@/app/utils/chat";
-import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
+import { preProcessImageContent } from "@/app/utils/chat";
 import {
-  getMessageTextContent,
   getWebReferenceMessageTextContent,
+  getTimeoutMSByModel,
+  getMessageTextContent,
 } from "@/app/utils";
 import { fetch } from "@/app/utils/stream";
 
@@ -40,7 +42,7 @@ export interface OpenAIListModelResponse {
   }>;
 }
 
-interface RequestPayload {
+interface RequestPayloadForByteDance {
   messages: {
     role: "system" | "user" | "assistant";
     content: string | MultimodalContent[];
@@ -99,10 +101,14 @@ export class DoubaoApi implements LLMApi {
   }
 
   async chat(options: ChatOptions) {
-    const messages = options.messages.map((v) => ({
+    const messages: ChatOptions["messages"] = [];
-      role: v.role,
+    for (const v of options.messages) {
-      content: getWebReferenceMessageTextContent(v),
+      const content =
-    }));
+        v.role === "assistant"
+          ? getMessageTextContent(v)
+          : await preProcessImageAndWebReferenceContent(v);
+      messages.push({ role: v.role, content });
+    }
 
     const modelConfig = {
       ...useAppConfig.getState().modelConfig,
@@ -113,7 +119,7 @@ export class DoubaoApi implements LLMApi {
     };
 
     const shouldStream = !!options.config.stream;
-    const requestPayload: RequestPayload = {
+    const requestPayload: RequestPayloadForByteDance = {
       messages,
       stream: shouldStream,
       model: modelConfig.model,
@@ -138,119 +144,103 @@ export class DoubaoApi implements LLMApi {
       // make a fetch request
       const requestTimeoutId = setTimeout(
         () => controller.abort(),
-        REQUEST_TIMEOUT_MS,
+        getTimeoutMSByModel(options.config.model),
       );
 
       if (shouldStream) {
-        let responseText = "";
+        const tools = [] as any;
-        let remainText = "";
+        const funcs = {};
-        let finished = false;
+        // const [tools, funcs] = usePluginStore
-        let responseRes: Response;
+        //   .getState()
+        //   .getAsTools(
+        //     useChatStore.getState().currentSession().mask?.plugin || [],
+        //   );
+        return streamWithThink(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const json = JSON.parse(text);
+            const choices = json.choices as Array<{
+              delta: {
+                content: string | null;
+                tool_calls: ChatMessageTool[];
+                reasoning_content: string | null;
+              };
+            }>;
 
-        // animate response to make it looks smooth
+            if (!choices?.length) return { isThinking: false, content: "" };
-        function animateResponseText() {
+
-          if (finished || controller.signal.aborted) {
+            const tool_calls = choices[0]?.delta?.tool_calls;
-            responseText += remainText;
+            if (tool_calls?.length > 0) {
-            console.log("[Response Animation] finished");
+              const index = tool_calls[0]?.index;
-            if (responseText?.length === 0) {
+              const id = tool_calls[0]?.id;
-              options.onError?.(new Error("empty response from server"));
+              const args = tool_calls[0]?.function?.arguments;
-            }
+              if (id) {
-            return;
+                runTools.push({
-          }
+                  id,
-
+                  type: tool_calls[0]?.type,
-          if (remainText.length > 0) {
+                  function: {
-            const fetchCount = Math.max(1, Math.round(remainText.length / 60));
+                    name: tool_calls[0]?.function?.name as string,
-            const fetchText = remainText.slice(0, fetchCount);
+                    arguments: args,
-            responseText += fetchText;
+                  },
-            remainText = remainText.slice(fetchCount);
+                });
-            options.onUpdate?.(responseText, fetchText);
+              } else {
-          }
+                // @ts-ignore
-
+                runTools[index]["function"]["arguments"] += args;
-          requestAnimationFrame(animateResponseText);
+              }
-        }
-
-        // start animaion
-        animateResponseText();
-
-        const finish = () => {
-          if (!finished) {
-            finished = true;
-            options.onFinish(responseText + remainText, responseRes);
-          }
-        };
-
-        controller.signal.onabort = finish;
-
-        fetchEventSource(chatPath, {
-          fetch: fetch as any,
-          ...chatPayload,
-          async onopen(res) {
-            clearTimeout(requestTimeoutId);
-            const contentType = res.headers.get("content-type");
-            console.log(
-              "[ByteDance] request response content type: ",
-              contentType,
-            );
-            responseRes = res;
-            if (contentType?.startsWith("text/plain")) {
-              responseText = await res.clone().text();
-              return finish();
             }
+            const reasoning = choices[0]?.delta?.reasoning_content;
+            const content = choices[0]?.delta?.content;
 
+            // Skip if both content and reasoning_content are empty or null
             if (
-              !res.ok ||
+              (!reasoning || reasoning.length === 0) &&
-              !res.headers
+              (!content || content.length === 0)
-                .get("content-type")
-                ?.startsWith(EventStreamContentType) ||
-              res.status !== 200
             ) {
-              const responseTexts = [responseText];
+              return {
-              let extraInfo = await res.clone().text();
+                isThinking: false,
-              try {
+                content: "",
-                const resJson = await res.clone().json();
+              };
-                extraInfo = prettyObject(resJson);
-              } catch {}
-
-              if (res.status === 401) {
-                responseTexts.push(Locale.Error.Unauthorized);
-              }
-
-              if (extraInfo) {
-                responseTexts.push(extraInfo);
-              }
-
-              responseText = responseTexts.join("\n\n");
-
-              return finish();
             }
-          },
+
-          onmessage(msg) {
+            if (reasoning && reasoning.length > 0) {
-            if (msg.data === "[DONE]" || finished) {
+              return {
-              return finish();
+                isThinking: true,
-            }
+                content: reasoning,
-            const text = msg.data;
+              };
-            try {
+            } else if (content && content.length > 0) {
-              const json = JSON.parse(text);
+              return {
-              const choices = json.choices as Array<{
+                isThinking: false,
-                delta: { content: string };
+                content: content,
-              }>;
+              };
-              const delta = choices[0]?.delta?.content;
-              if (delta) {
-                remainText += delta;
-              }
-            } catch (e) {
-              console.error("[Request] parse error", text, msg);
             }
+
+            return {
+              isThinking: false,
+              content: "",
+            };
           },
-          onclose() {
+          // processToolMessage, include tool_calls message and tool call results
-            finish();
+          (
+            requestPayload: RequestPayloadForByteDance,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            requestPayload?.messages?.splice(
+              requestPayload?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
           },
-          onerror(e) {
+          options,
-            options.onError?.(e);
+        );
-            throw e;
-          },
-          openWhenHidden: true,
-        });
       } else {
         const res = await fetch(chatPath, chatPayload);
         clearTimeout(requestTimeoutId);

app/client/platforms/google.ts

@@ -17,7 +17,10 @@ import {
   usePluginStore,
   ChatMessageTool,
 } from "@/app/store";
-import { stream } from "@/app/utils/chat";
+import {
+  preProcessImageAndWebReferenceContent,
+  stream,
+} from "@/app/utils/chat";
 import { getClientConfig } from "@/app/config/client";
 import { GEMINI_BASE_URL } from "@/app/constant";
 
@@ -88,7 +91,7 @@ export class GeminiProApi implements LLMApi {
     // try get base64image from local cache image_url
     const _messages: ChatOptions["messages"] = [];
     for (const v of options.messages) {
-      const content = await preProcessImageContent(v.content);
+      const content = await preProcessImageAndWebReferenceContent(v);
       _messages.push({ role: v.role, content });
     }
     const messages = _messages.map((v) => {

app/client/platforms/openai.ts

@@ -17,7 +17,11 @@ import {
   usePluginStore,
 } from "@/app/store";
 import { collectModelsWithDefaultModel } from "@/app/utils/model";
-import { preProcessImageContent, stream } from "@/app/utils/chat";
+import {
+  preProcessImageAndWebReferenceContent,
+  preProcessImageContent,
+  stream,
+} from "@/app/utils/chat";
 import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
 import { DalleSize, DalleQuality, DalleStyle } from "@/app/typing";
 
@@ -239,7 +243,7 @@ export class ChatGPTApi implements LLMApi {
       const messages: ChatOptions["messages"] = [];
       for (const v of options.messages) {
         const content = visionModel
-          ? await preProcessImageContent(v.content)
+          ? await preProcessImageAndWebReferenceContent(v)
           : getWebReferenceMessageTextContent(v);
         if (!(isO1 && v.role === "system"))
           messages.push({ role: v.role, content });
@@ -429,7 +433,7 @@ export class ChatGPTApi implements LLMApi {
     const messages: AgentChatOptions["messages"] = [];
     for (const v of options.messages) {
       const content = visionModel
-        ? await preProcessImageContent(v.content)
+        ? await preProcessImageAndWebReferenceContent(v)
         : getMessageTextContent(v);
       messages.push({ role: v.role, content });
     }

app/constant.ts

@@ -105,6 +105,7 @@ export const UNFINISHED_INPUT = (id: string) => "unfinished-input-" + id;
 export const STORAGE_KEY = "chatgpt-next-web";
 
 export const REQUEST_TIMEOUT_MS = 60000;
+export const REQUEST_TIMEOUT_MS_FOR_THINKING = REQUEST_TIMEOUT_MS * 5;
 
 export const EXPORT_MESSAGE_CLASS_NAME = "export-markdown";
 
@@ -417,6 +418,10 @@ const bytedanceModels = [
   "Doubao-pro-4k",
   "Doubao-pro-32k",
   "Doubao-pro-128k",
+  "deepseek-v3-241226",
+  "deepseek-r1-250120",
+  "deepseek-r1-distill-qwen-7b-250120",
+  "deepseek-r1-distill-qwen-32b-250120",
 ];
 
 const alibabaModes = [

app/utils.ts

@@ -2,7 +2,11 @@ import { useEffect, useState } from "react";
 import { showToast } from "./components/ui-lib";
 import Locale, { getLang } from "./locales";
 import { RequestMessage } from "./client/api";
-import { DEFAULT_MODELS } from "./constant";
+import {
+  DEFAULT_MODELS,
+  REQUEST_TIMEOUT_MS,
+  REQUEST_TIMEOUT_MS_FOR_THINKING,
+} from "./constant";
 import { ServiceProvider } from "./constant";
 // import { fetch as tauriFetch, ResponseType } from "@tauri-apps/api/http";
 import { fetch as tauriStreamFetch } from "./utils/stream";
@@ -340,6 +344,20 @@ export function isDalle3(model: string) {
   return "dall-e-3" === model;
 }
 
+export function getTimeoutMSByModel(model: string) {
+  model = model.toLowerCase();
+  if (
+    model.startsWith("dall-e") ||
+    model.startsWith("dalle") ||
+    model.startsWith("o1") ||
+    model.startsWith("o3") ||
+    model.includes("deepseek-r") ||
+    model.includes("-thinking")
+  )
+    return REQUEST_TIMEOUT_MS_FOR_THINKING;
+  return REQUEST_TIMEOUT_MS;
+}
+
 export function showPlugins(provider: ServiceProvider, model: string) {
   if (
     provider == ServiceProvider.OpenAI ||

app/utils/chat.ts

@@ -11,6 +11,7 @@ import {
 } from "@fortaine/fetch-event-source";
 import { prettyObject } from "./format";
 import { fetch as tauriFetch } from "./stream";
+import { getWebReferenceMessageTextContent } from "../utils";
 
 export function compressImage(file: Blob, maxSize: number): Promise<string> {
   return new Promise((resolve, reject) => {
@@ -92,6 +93,16 @@ export async function preProcessImageContent(
   return result;
 }
 
+export async function preProcessImageAndWebReferenceContent(
+  message: RequestMessage,
+) {
+  const content = message.content;
+  if (typeof content === "string") {
+    return getWebReferenceMessageTextContent(message);
+  }
+  return preProcessImageContent(content);
+}
+
 const imageCaches: Record<string, string> = {};
 export function cacheImageToBase64Image(imageUrl: string) {
   if (imageUrl.includes(CACHE_URL_PREFIX)) {