Update README.md

Merge pull request #6450 from stephen-zeng/main
Add gpt-4.1 family & gpt-4.5-preview support
2026-02-25 15:54:24 +08:00 · 2025-04-19 15:50:17 +08:00 · 2025-04-17 08:29:19 +08:00 · 2025-04-16 22:10:47 +08:00 · 2025-04-16 22:02:35 +08:00 · 2025-03-20 17:52:02 +08:00
27 changed files with 1277 additions and 4433 deletions
--- a/.env.template
+++ b/.env.template
@@ -76,12 +76,6 @@ ANTHROPIC_URL=
 ### (optional)
 WHITE_WEBDAV_ENDPOINTS=

-
-### bedrock  (optional)
-AWS_REGION=
-AWS_ACCESS_KEY=AKIA
-AWS_SECRET_KEY=
-
 ### siliconflow Api key (optional)
 SILICONFLOW_API_KEY=

--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@



-<h1 align="center">NextChat (ChatGPT Next Web)</h1>
+<h1 align="center">NextChat</h1>

 English / [简体中文](./README_CN.md)

@@ -22,7 +22,6 @@ English / [简体中文](./README_CN.md)
 [![MacOS][MacOS-image]][download-url]
 [![Linux][Linux-image]][download-url]

-[NextChatAI](https://nextchat.dev/chat?utm_source=readme) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) 
 [NextChatAI](https://nextchat.club?utm_source=readme) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Discord](https://discord.gg/YCkeafCafC) / [Enterprise Edition](#enterprise-edition) / [Twitter](https://twitter.com/NextChatDev)


@@ -41,31 +40,12 @@ English / [简体中文](./README_CN.md)

 </div>

-## 👋 Hey, NextChat is going to develop a native app!
+## 🥳 Cheer for NextChat iOS Version Online!
+ > [ 👉 Click Here Install Now](https://apps.apple.com/us/app/nextchat-ai/id6743085599)

-> This week we are going to start working on iOS and Android APP, and we want to find some reliable friends to do it together!
+![Github iOS Image](https://github.com/user-attachments/assets/e0aa334f-4c13-4dc9-8310-e3b09fa4b9f3)

-
-✨ Several key points:
-
- Starting from 0, you are a veteran
- Completely open source, not hidden
- Native development, pursuing the ultimate experience
-
-Will you come and do something together? 😎
-
-https://github.com/ChatGPTNextWeb/NextChat/issues/6269
-
-#Seeking for talents is thirsty #lack of people
-
-
-## 🥳 Cheer for DeepSeek, China's AI star!
- > Purpose-Built UI for DeepSeek Reasoner Model
 
-<img src="https://github.com/user-attachments/assets/f3952210-3af1-4dc0-9b81-40eaa4847d9a"/>
-
-
-
 ## 🫣 NextChat Support MCP  ! 
 > Before build, please set env ENABLE_MCP=true

--- a/app/api/[provider]/[...path]/route.ts
+++ b/app/api/[provider]/[...path]/route.ts
@@ -1,7 +1,6 @@
 import { ApiPath } from "@/app/constant";
 import { NextRequest } from "next/server";
 import { handle as openaiHandler } from "../../openai";
-import { handle as bedrockHandler } from "../../bedrock";
 import { handle as azureHandler } from "../../azure";
 import { handle as googleHandler } from "../../google";
 import { handle as anthropicHandler } from "../../anthropic";
@@ -24,15 +23,12 @@ async function handle(
  const apiPath = `/api/${params.provider}`;
  console.log(`[${params.provider} Route] params `, params);
  switch (apiPath) {
-    case ApiPath.Bedrock:
-      return bedrockHandler(req, { params });
    case ApiPath.Azure:
      return azureHandler(req, { params });
    case ApiPath.Google:
      return googleHandler(req, { params });
    case ApiPath.Anthropic:
      return anthropicHandler(req, { params });
-
    case ApiPath.Baidu:
      return baiduHandler(req, { params });
    case ApiPath.ByteDance:
--- a/app/api/auth.ts
+++ b/app/api/auth.ts
@@ -52,6 +52,7 @@ export function auth(req: NextRequest, modelProvider: ModelProvider) {
      msg: "you are not allowed to access with your own api key",
    };
  }
+
  // if user does not provide an api key, inject system api key
  if (!apiKey) {
    const serverConfig = getServerSideConfig();
@@ -100,14 +101,6 @@ export function auth(req: NextRequest, modelProvider: ModelProvider) {
      case ModelProvider.ChatGLM:
        systemApiKey = serverConfig.chatglmApiKey;
        break;
-      case ModelProvider.Bedrock:
-        systemApiKey =
-          serverConfig.awsRegion +
-          ":" +
-          serverConfig.awsAccessKey +
-          ":" +
-          serverConfig.awsSecretKey;
-        break;
      case ModelProvider.SiliconFlow:
        systemApiKey = serverConfig.siliconFlowApiKey;
        break;
--- a/app/api/bedrock.ts
+++ b/app/api/bedrock.ts
@@ -1,177 +0,0 @@
-import { NextRequest, NextResponse } from "next/server";
-import { auth } from "./auth";
-import {
-  sign,
-  decrypt,
-  getBedrockEndpoint,
-  BedrockCredentials,
-} from "../utils/aws";
-import { getServerSideConfig } from "../config/server";
-import { ModelProvider } from "../constant";
-import { prettyObject } from "../utils/format";
-
-const ALLOWED_PATH = new Set(["chat", "models"]);
-
-async function getBedrockCredentials(
-  req: NextRequest,
-): Promise<BedrockCredentials> {
-  // Get AWS credentials from server config first
-  const config = getServerSideConfig();
-  let awsRegion = config.awsRegion;
-  let awsAccessKey = config.awsAccessKey;
-  let awsSecretKey = config.awsSecretKey;
-
-  // If server-side credentials are not available, parse from Authorization header
-  if (!awsRegion || !awsAccessKey || !awsSecretKey) {
-    const authHeader = req.headers.get("Authorization");
-    if (!authHeader || !authHeader.startsWith("Bearer ")) {
-      throw new Error("Missing or invalid Authorization header");
-    }
-
-    const [_, credentials] = authHeader.split("Bearer ");
-    const [encryptedRegion, encryptedAccessKey, encryptedSecretKey] =
-      credentials.split(":");
-
-    if (!encryptedRegion || !encryptedAccessKey || !encryptedSecretKey) {
-      throw new Error("Invalid Authorization header format");
-    }
-    const encryptionKey = req.headers.get("XEncryptionKey") || "";
-    // Decrypt the credentials
-    [awsRegion, awsAccessKey, awsSecretKey] = await Promise.all([
-      decrypt(encryptedRegion, encryptionKey),
-      decrypt(encryptedAccessKey, encryptionKey),
-      decrypt(encryptedSecretKey, encryptionKey),
-    ]);
-
-    if (!awsRegion || !awsAccessKey || !awsSecretKey) {
-      throw new Error(
-        "Failed to decrypt AWS credentials. Please ensure ENCRYPTION_KEY is set correctly.",
-      );
-    }
-  }
-
-  return {
-    region: awsRegion,
-    accessKeyId: awsAccessKey,
-    secretAccessKey: awsSecretKey,
-  };
-}
-
-async function requestBedrock(req: NextRequest) {
-  const controller = new AbortController();
-  const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);
-
-  try {
-    // Get credentials and model info
-    const credentials = await getBedrockCredentials(req);
-    const modelId = req.headers.get("XModelID");
-    const shouldStream = req.headers.get("ShouldStream") !== "false";
-
-    if (!modelId) {
-      throw new Error("Missing model ID");
-    }
-
-    // Parse and validate request body
-    const bodyText = await req.clone().text();
-    if (!bodyText) {
-      throw new Error("Request body is empty");
-    }
-    let bodyJson;
-    try {
-      bodyJson = JSON.parse(bodyText);
-    } catch (e) {
-      throw new Error(`Invalid JSON in request body: ${e}`);
-    }
-    console.log("[Bedrock Request] Initiating request");
-    // Get endpoint and prepare request
-    const endpoint = getBedrockEndpoint(
-      credentials.region,
-      modelId,
-      shouldStream,
-    );
-    const requestBody: any = {
-      ...bodyJson,
-    };
-    // Sign request
-    const headers = await sign({
-      method: "POST",
-      url: endpoint,
-      region: credentials.region,
-      accessKeyId: credentials.accessKeyId,
-      secretAccessKey: credentials.secretAccessKey,
-      body: JSON.stringify(requestBody),
-      service: "bedrock",
-      isStreaming: shouldStream,
-    });
-
-    // Make request to AWS Bedrock
-    // console.log(
-    //   "[Bedrock Request] Final Body:",
-    //   JSON.stringify(requestBody, null, 2),
-    // );
-    const res = await fetch(endpoint, {
-      method: "POST",
-      headers,
-      body: JSON.stringify(requestBody),
-      redirect: "manual",
-      // @ts-ignore
-      duplex: "half",
-      signal: controller.signal,
-    });
-
-    if (!res.ok) {
-      const error = await res.text();
-      console.error("[Bedrock Error] Request failed with status:", res.status);
-      try {
-        const errorJson = JSON.parse(error);
-        throw new Error(errorJson.message || error);
-      } catch {
-        throw new Error(
-          `Bedrock request failed with status ${res.status}: ${
-            error || "No error message"
-          }`,
-        );
-      }
-    }
-
-    if (!res.body) {
-      console.error("[Bedrock Error] Empty response body");
-      throw new Error(
-        "Empty response from Bedrock. Please check AWS credentials and permissions.",
-      );
-    }
-    return res;
-  } catch (e) {
-    console.error("[Bedrock Request Error]:", e);
-    throw e;
-  } finally {
-    clearTimeout(timeoutId);
-  }
-}
-
-export async function handle(
-  req: NextRequest,
-  { params }: { params: { path: string[] } },
-) {
-  const subpath = params.path.join("/");
-  if (!ALLOWED_PATH.has(subpath)) {
-    return NextResponse.json(
-      { error: true, msg: "you are not allowed to request " + subpath },
-      { status: 403 },
-    );
-  }
-
-  const authResult = auth(req, ModelProvider.Bedrock);
-  if (authResult.error) {
-    return NextResponse.json(authResult, {
-      status: 401,
-    });
-  }
-
-  try {
-    return await requestBedrock(req);
-  } catch (e) {
-    console.error("Handler error:", e);
-    return NextResponse.json(prettyObject(e));
-  }
-}
--- a/app/client/api.ts
+++ b/app/client/api.ts
@@ -23,10 +23,8 @@ import { SparkApi } from "./platforms/iflytek";
 import { DeepSeekApi } from "./platforms/deepseek";
 import { XAIApi } from "./platforms/xai";
 import { ChatGLMApi } from "./platforms/glm";
-import { BedrockApi } from "./platforms/bedrock";
 import { SiliconflowApi } from "./platforms/siliconflow";

-
 export const ROLES = ["system", "user", "assistant"] as const;
 export type MessageRole = (typeof ROLES)[number];

@@ -42,6 +40,11 @@ export interface MultimodalContent {
  };
 }

+export interface MultimodalContentForAlibaba {
+  text?: string;
+  image?: string;
+}
+
 export interface RequestMessage {
  role: MessageRole;
  content: string | MultimodalContent[];
@@ -134,9 +137,6 @@ export class ClientApi {

  constructor(provider: ModelProvider = ModelProvider.GPT) {
    switch (provider) {
-      case ModelProvider.Bedrock:
-        this.llm = new BedrockApi();
-        break;
      case ModelProvider.GeminiPro:
        this.llm = new GeminiProApi();
        break;
@@ -252,7 +252,6 @@ export function getHeaders(ignoreHeaders: boolean = false) {

  function getConfig() {
    const modelConfig = chatStore.currentSession().mask.modelConfig;
-    const isBedrock = modelConfig.providerName === ServiceProvider.Bedrock;
    const isGoogle = modelConfig.providerName === ServiceProvider.Google;
    const isAzure = modelConfig.providerName === ServiceProvider.Azure;
    const isAnthropic = modelConfig.providerName === ServiceProvider.Anthropic;
@@ -293,7 +292,6 @@ export function getHeaders(ignoreHeaders: boolean = false) {
        : ""
      : accessStore.openaiApiKey;
    return {
-      isBedrock,
      isGoogle,
      isAzure,
      isAnthropic,
@@ -322,7 +320,6 @@ export function getHeaders(ignoreHeaders: boolean = false) {
  }

  const {
-    isBedrock,
    isGoogle,
    isAzure,
    isAnthropic,
@@ -343,23 +340,17 @@ export function getHeaders(ignoreHeaders: boolean = false) {

  const authHeader = getAuthHeader();

-  if (isBedrock) {
-    if (apiKey) {
-      headers[authHeader] = getBearerToken(apiKey);
-    }
-  } else {
-    const bearerToken = getBearerToken(
-      apiKey,
-      isAzure || isAnthropic || isGoogle,
-    );
+  const bearerToken = getBearerToken(
+    apiKey,
+    isAzure || isAnthropic || isGoogle,
+  );

-    if (bearerToken) {
-      headers[authHeader] = bearerToken;
-    } else if (isEnabledAccessControl && validString(accessStore.accessCode)) {
-      headers["Authorization"] = getBearerToken(
-        ACCESS_CODE_PREFIX + accessStore.accessCode,
-      );
-    }
+  if (bearerToken) {
+    headers[authHeader] = bearerToken;
+  } else if (isEnabledAccessControl && validString(accessStore.accessCode)) {
+    headers["Authorization"] = getBearerToken(
+      ACCESS_CODE_PREFIX + accessStore.accessCode,
+    );
  }

  return headers;
@@ -367,8 +358,6 @@ export function getHeaders(ignoreHeaders: boolean = false) {

 export function getClientApi(provider: ServiceProvider): ClientApi {
  switch (provider) {
-    case ServiceProvider.Bedrock:
-      return new ClientApi(ModelProvider.Bedrock);
    case ServiceProvider.Google:
      return new ClientApi(ModelProvider.GeminiPro);
    case ServiceProvider.Anthropic:
--- a/app/client/platforms/alibaba.ts
+++ b/app/client/platforms/alibaba.ts
@@ -7,7 +7,10 @@ import {
  ChatMessageTool,
  usePluginStore,
 } from "@/app/store";
-import { streamWithThink } from "@/app/utils/chat";
+import {
+  preProcessImageContentForAlibabaDashScope,
+  streamWithThink,
+} from "@/app/utils/chat";
 import {
  ChatOptions,
  getHeaders,
@@ -15,12 +18,14 @@ import {
  LLMModel,
  SpeechOptions,
  MultimodalContent,
+  MultimodalContentForAlibaba,
 } from "../api";
 import { getClientConfig } from "@/app/config/client";
 import {
  getMessageTextContent,
  getMessageTextContentWithoutThinking,
  getTimeoutMSByModel,
+  isVisionModel,
 } from "@/app/utils";
 import { fetch } from "@/app/utils/stream";

@@ -89,14 +94,6 @@ export class QwenApi implements LLMApi {
  }

  async chat(options: ChatOptions) {
-    const messages = options.messages.map((v) => ({
-      role: v.role,
-      content:
-        v.role === "assistant"
-          ? getMessageTextContentWithoutThinking(v)
-          : getMessageTextContent(v),
-    }));
-
    const modelConfig = {
      ...useAppConfig.getState().modelConfig,
      ...useChatStore.getState().currentSession().mask.modelConfig,
@@ -105,6 +102,21 @@ export class QwenApi implements LLMApi {
      },
    };

+    const visionModel = isVisionModel(options.config.model);
+
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      const content = (
+        visionModel
+          ? await preProcessImageContentForAlibabaDashScope(v.content)
+          : v.role === "assistant"
+          ? getMessageTextContentWithoutThinking(v)
+          : getMessageTextContent(v)
+      ) as any;
+
+      messages.push({ role: v.role, content });
+    }
+
    const shouldStream = !!options.config.stream;
    const requestPayload: RequestPayload = {
      model: modelConfig.model,
@@ -129,7 +141,7 @@ export class QwenApi implements LLMApi {
        "X-DashScope-SSE": shouldStream ? "enable" : "disable",
      };

-      const chatPath = this.path(Alibaba.ChatPath);
+      const chatPath = this.path(Alibaba.ChatPath(modelConfig.model));
      const chatPayload = {
        method: "POST",
        body: JSON.stringify(requestPayload),
@@ -162,7 +174,7 @@ export class QwenApi implements LLMApi {
            const json = JSON.parse(text);
            const choices = json.output.choices as Array<{
              message: {
-                content: string | null;
+                content: string | null | MultimodalContentForAlibaba[];
                tool_calls: ChatMessageTool[];
                reasoning_content: string | null;
              };
@@ -212,7 +224,9 @@ export class QwenApi implements LLMApi {
            } else if (content && content.length > 0) {
              return {
                isThinking: false,
-                content: content,
+                content: Array.isArray(content)
+                  ? content.map((item) => item.text).join(",")
+                  : content,
              };
            }

--- a/app/client/platforms/bedrock.ts
+++ b/app/client/platforms/bedrock.ts
@@ -1,859 +0,0 @@
-"use client";
-import { ChatOptions, getHeaders, LLMApi, SpeechOptions } from "../api";
-import {
-  useAppConfig,
-  usePluginStore,
-  useChatStore,
-  useAccessStore,
-  ChatMessageTool,
-} from "@/app/store";
-import { preProcessImageContent } from "@/app/utils/chat";
-import { getMessageTextContent, isVisionModel } from "@/app/utils";
-import { ApiPath, BEDROCK_BASE_URL, REQUEST_TIMEOUT_MS } from "@/app/constant";
-import { getClientConfig } from "@/app/config/client";
-import {
-  extractMessage,
-  processMessage,
-  processChunks,
-  parseEventData,
-  sign,
-} from "@/app/utils/aws";
-import { prettyObject } from "@/app/utils/format";
-import Locale from "@/app/locales";
-import { encrypt } from "@/app/utils/aws";
-
-const ClaudeMapper = {
-  assistant: "assistant",
-  user: "user",
-  system: "user",
-} as const;
-
-const MistralMapper = {
-  system: "system",
-  user: "user",
-  assistant: "assistant",
-} as const;
-type MistralRole = keyof typeof MistralMapper;
-
-interface Tool {
-  function?: {
-    name?: string;
-    description?: string;
-    parameters?: any;
-  };
-}
-const isApp = !!getClientConfig()?.isApp;
-// const isApp = true;
-async function getBedrockHeaders(
-  modelId: string,
-  chatPath: string,
-  finalRequestBody: any,
-  shouldStream: boolean,
-): Promise<Record<string, string>> {
-  const accessStore = useAccessStore.getState();
-  const bedrockHeaders = isApp
-    ? await sign({
-        method: "POST",
-        url: chatPath,
-        region: accessStore.awsRegion,
-        accessKeyId: accessStore.awsAccessKey,
-        secretAccessKey: accessStore.awsSecretKey,
-        body: finalRequestBody,
-        service: "bedrock",
-        headers: {},
-        isStreaming: shouldStream,
-      })
-    : getHeaders();
-
-  if (!isApp) {
-    const { awsRegion, awsAccessKey, awsSecretKey, encryptionKey } =
-      accessStore;
-
-    const bedrockHeadersConfig = {
-      XModelID: modelId,
-      XEncryptionKey: encryptionKey,
-      ShouldStream: String(shouldStream),
-      Authorization: await createAuthHeader(
-        awsRegion,
-        awsAccessKey,
-        awsSecretKey,
-        encryptionKey,
-      ),
-    };
-
-    Object.assign(bedrockHeaders, bedrockHeadersConfig);
-  }
-
-  return bedrockHeaders;
-}
-
-// Helper function to create Authorization header
-async function createAuthHeader(
-  region: string,
-  accessKey: string,
-  secretKey: string,
-  encryptionKey: string,
-): Promise<string> {
-  const encryptedValues = await Promise.all([
-    encrypt(region, encryptionKey),
-    encrypt(accessKey, encryptionKey),
-    encrypt(secretKey, encryptionKey),
-  ]);
-
-  return `Bearer ${encryptedValues.join(":")}`;
-}
-
-export class BedrockApi implements LLMApi {
-  speech(options: SpeechOptions): Promise<ArrayBuffer> {
-    throw new Error("Speech not implemented for Bedrock.");
-  }
-
-  formatRequestBody(messages: ChatOptions["messages"], modelConfig: any) {
-    const model = modelConfig.model;
-    const visionModel = isVisionModel(modelConfig.model);
-
-    // Get tools if available
-    const [tools] = usePluginStore
-      .getState()
-      .getAsTools(useChatStore.getState().currentSession().mask?.plugin || []);
-
-    const toolsArray = (tools as Tool[]) || [];
-
-    // Handle Nova models
-    if (model.includes("amazon.nova")) {
-      // Extract system message if present
-      const systemMessage = messages.find((m) => m.role === "system");
-      const conversationMessages = messages.filter((m) => m.role !== "system");
-
-      const requestBody: any = {
-        schemaVersion: "messages-v1",
-        messages: conversationMessages.map((message) => {
-          const content = Array.isArray(message.content)
-            ? message.content
-            : [{ text: getMessageTextContent(message) }];
-
-          return {
-            role: message.role,
-            content: content.map((item: any) => {
-              // Handle text content
-              if (item.text || typeof item === "string") {
-                return { text: item.text || item };
-              }
-              // Handle image content
-              if (item.image_url?.url) {
-                const { url = "" } = item.image_url;
-                const colonIndex = url.indexOf(":");
-                const semicolonIndex = url.indexOf(";");
-                const comma = url.indexOf(",");
-
-                // Extract format from mime type
-                const mimeType = url.slice(colonIndex + 1, semicolonIndex);
-                const format = mimeType.split("/")[1];
-                const data = url.slice(comma + 1);
-
-                return {
-                  image: {
-                    format,
-                    source: {
-                      bytes: data,
-                    },
-                  },
-                };
-              }
-              return item;
-            }),
-          };
-        }),
-        inferenceConfig: {
-          temperature: modelConfig.temperature || 0.7,
-          top_p: modelConfig.top_p || 0.9,
-          top_k: modelConfig.top_k || 50,
-          max_new_tokens: modelConfig.max_tokens || 1000,
-          stopSequences: modelConfig.stop || [],
-        },
-      };
-
-      // Add system message if present
-      if (systemMessage) {
-        requestBody.system = [
-          {
-            text: getMessageTextContent(systemMessage),
-          },
-        ];
-      }
-
-      // Add tools if available - exact Nova format
-      if (toolsArray.length > 0) {
-        requestBody.toolConfig = {
-          tools: toolsArray.map((tool) => ({
-            toolSpec: {
-              name: tool?.function?.name || "",
-              description: tool?.function?.description || "",
-              inputSchema: {
-                json: {
-                  type: "object",
-                  properties: tool?.function?.parameters?.properties || {},
-                  required: tool?.function?.parameters?.required || [],
-                },
-              },
-            },
-          })),
-          toolChoice: { auto: {} },
-        };
-      }
-
-      return requestBody;
-    }
-
-    // Handle Titan models
-    if (model.startsWith("amazon.titan")) {
-      const inputText = messages
-        .map((message) => {
-          return `${message.role}: ${getMessageTextContent(message)}`;
-        })
-        .join("\n\n");
-
-      return {
-        inputText,
-        textGenerationConfig: {
-          maxTokenCount: modelConfig.max_tokens,
-          temperature: modelConfig.temperature,
-          stopSequences: [],
-        },
-      };
-    }
-
-    // Handle LLaMA models
-    if (model.includes("meta.llama")) {
-      let prompt = "<|begin_of_text|>";
-
-      // Extract system message if present
-      const systemMessage = messages.find((m) => m.role === "system");
-      if (systemMessage) {
-        prompt += `<|start_header_id|>system<|end_header_id|>\n${getMessageTextContent(
-          systemMessage,
-        )}<|eot_id|>`;
-      }
-
-      // Format the conversation
-      const conversationMessages = messages.filter((m) => m.role !== "system");
-      for (const message of conversationMessages) {
-        const role = message.role === "assistant" ? "assistant" : "user";
-        const content = getMessageTextContent(message);
-        prompt += `<|start_header_id|>${role}<|end_header_id|>\n${content}<|eot_id|>`;
-      }
-
-      // Add the final assistant header to prompt completion
-      prompt += "<|start_header_id|>assistant<|end_header_id|>";
-
-      return {
-        prompt,
-        max_gen_len: modelConfig.max_tokens || 512,
-        temperature: modelConfig.temperature || 0.7,
-        top_p: modelConfig.top_p || 0.9,
-      };
-    }
-
-    // Handle Mistral models
-    if (model.includes("mistral.mistral")) {
-      const formattedMessages = messages.map((message) => ({
-        role: MistralMapper[message.role as MistralRole] || "user",
-        content: getMessageTextContent(message),
-      }));
-
-      const requestBody: any = {
-        messages: formattedMessages,
-        max_tokens: modelConfig.max_tokens || 4096,
-        temperature: modelConfig.temperature || 0.7,
-        top_p: modelConfig.top_p || 0.9,
-      };
-
-      // Add tools if available
-      if (toolsArray.length > 0) {
-        requestBody.tool_choice = "auto";
-        requestBody.tools = toolsArray.map((tool) => ({
-          type: "function",
-          function: {
-            name: tool?.function?.name,
-            description: tool?.function?.description,
-            parameters: tool?.function?.parameters,
-          },
-        }));
-      }
-
-      return requestBody;
-    }
-
-    // Handle Claude models
-    const keys = ["system", "user"];
-    // roles must alternate between "user" and "assistant" in claude, so add a fake assistant message between two user messages
-    for (let i = 0; i < messages.length - 1; i++) {
-      const message = messages[i];
-      const nextMessage = messages[i + 1];
-
-      if (keys.includes(message.role) && keys.includes(nextMessage.role)) {
-        messages[i] = [
-          message,
-          {
-            role: "assistant",
-            content: ";",
-          },
-        ] as any;
-      }
-    }
-    const prompt = messages
-      .flat()
-      .filter((v) => {
-        if (!v.content) return false;
-        if (typeof v.content === "string" && !v.content.trim()) return false;
-        return true;
-      })
-      .map((v) => {
-        const { role, content } = v;
-        const insideRole = ClaudeMapper[role] ?? "user";
-
-        if (!visionModel || typeof content === "string") {
-          return {
-            role: insideRole,
-            content: getMessageTextContent(v),
-          };
-        }
-        return {
-          role: insideRole,
-          content: content
-            .filter((v) => v.image_url || v.text)
-            .map(({ type, text, image_url }) => {
-              if (type === "text") {
-                return {
-                  type,
-                  text: text!,
-                };
-              }
-              const { url = "" } = image_url || {};
-              const colonIndex = url.indexOf(":");
-              const semicolonIndex = url.indexOf(";");
-              const comma = url.indexOf(",");
-
-              const mimeType = url.slice(colonIndex + 1, semicolonIndex);
-              const encodeType = url.slice(semicolonIndex + 1, comma);
-              const data = url.slice(comma + 1);
-
-              return {
-                type: "image" as const,
-                source: {
-                  type: encodeType,
-                  media_type: mimeType,
-                  data,
-                },
-              };
-            }),
-        };
-      });
-
-    if (prompt[0]?.role === "assistant") {
-      prompt.unshift({
-        role: "user",
-        content: ";",
-      });
-    }
-    const requestBody: any = {
-      anthropic_version: useAccessStore.getState().bedrockAnthropicVersion,
-      max_tokens: modelConfig.max_tokens,
-      messages: prompt,
-      temperature: modelConfig.temperature,
-      top_p: modelConfig.top_p || 0.9,
-      top_k: modelConfig.top_k || 5,
-    };
-
-    // Add tools if available for Claude models
-    if (toolsArray.length > 0 && model.includes("anthropic.claude")) {
-      requestBody.tools = toolsArray.map((tool) => ({
-        name: tool?.function?.name || "",
-        description: tool?.function?.description || "",
-        input_schema: tool?.function?.parameters || {},
-      }));
-    }
-
-    return requestBody;
-  }
-
-  async chat(options: ChatOptions) {
-    const accessStore = useAccessStore.getState();
-
-    const shouldStream = !!options.config.stream;
-
-    const modelConfig = {
-      ...useAppConfig.getState().modelConfig,
-      ...useChatStore.getState().currentSession().mask.modelConfig,
-      ...{
-        model: options.config.model,
-      },
-    };
-
-    // try get base64image from local cache image_url
-    const messages: ChatOptions["messages"] = [];
-    for (const v of options.messages) {
-      const content = await preProcessImageContent(v.content);
-      messages.push({ role: v.role, content });
-    }
-
-    const controller = new AbortController();
-    options.onController?.(controller);
-
-    let finalRequestBody = this.formatRequestBody(messages, modelConfig);
-
-    try {
-      const bedrockAPIPath = `${BEDROCK_BASE_URL}/model/${
-        modelConfig.model
-      }/invoke${shouldStream ? "-with-response-stream" : ""}`;
-      const chatPath = isApp ? bedrockAPIPath : ApiPath.Bedrock + "/chat";
-
-      if (process.env.NODE_ENV !== "production") {
-        console.debug("[Bedrock Client] Request:", {
-          path: chatPath,
-          model: modelConfig.model,
-          messages: messages.length,
-          stream: shouldStream,
-        });
-      }
-
-      if (shouldStream) {
-        const [tools, funcs] = usePluginStore
-          .getState()
-          .getAsTools(
-            useChatStore.getState().currentSession().mask?.plugin || [],
-          );
-        return bedrockStream(
-          modelConfig.model,
-          chatPath,
-          finalRequestBody,
-          funcs,
-          controller,
-          // processToolMessage, include tool_calls message and tool call results
-          (
-            requestPayload: any[],
-            toolCallMessage: any,
-            toolCallResult: any[],
-          ) => {
-            const modelId = modelConfig.model;
-            const isMistral = modelId.includes("mistral.mistral");
-            const isClaude = modelId.includes("anthropic.claude");
-            const isNova = modelId.includes("amazon.nova");
-
-            if (isClaude) {
-              // Format for Claude
-              // @ts-ignore
-              requestPayload?.messages?.splice(
-                // @ts-ignore
-                requestPayload?.messages?.length,
-                0,
-                {
-                  role: "assistant",
-                  content: toolCallMessage.tool_calls.map(
-                    (tool: ChatMessageTool) => ({
-                      type: "tool_use",
-                      id: tool.id,
-                      name: tool?.function?.name,
-                      input: tool?.function?.arguments
-                        ? JSON.parse(tool?.function?.arguments)
-                        : {},
-                    }),
-                  ),
-                },
-                // @ts-ignore
-                ...toolCallResult.map((result) => ({
-                  role: "user",
-                  content: [
-                    {
-                      type: "tool_result",
-                      tool_use_id: result.tool_call_id,
-                      content: result.content,
-                    },
-                  ],
-                })),
-              );
-            } else if (isMistral) {
-              // Format for Mistral
-              // @ts-ignore
-              requestPayload?.messages?.splice(
-                // @ts-ignore
-                requestPayload?.messages?.length,
-                0,
-                {
-                  role: "assistant",
-                  content: "",
-                  // @ts-ignore
-                  tool_calls: toolCallMessage.tool_calls.map(
-                    (tool: ChatMessageTool) => ({
-                      id: tool.id,
-                      function: {
-                        name: tool?.function?.name,
-                        arguments: tool?.function?.arguments || "{}",
-                      },
-                    }),
-                  ),
-                },
-                ...toolCallResult.map((result) => ({
-                  role: "tool",
-                  tool_call_id: result.tool_call_id,
-                  content: result.content,
-                })),
-              );
-            } else if (isNova) {
-              // Format for Nova - Updated format
-              // @ts-ignore
-              requestPayload?.messages?.splice(
-                // @ts-ignore
-                requestPayload?.messages?.length,
-                0,
-                {
-                  role: "assistant",
-                  content: [
-                    {
-                      toolUse: {
-                        toolUseId: toolCallMessage.tool_calls[0].id,
-                        name: toolCallMessage.tool_calls[0]?.function?.name,
-                        input:
-                          typeof toolCallMessage.tool_calls[0]?.function
-                            ?.arguments === "string"
-                            ? JSON.parse(
-                                toolCallMessage.tool_calls[0]?.function
-                                  ?.arguments,
-                              )
-                            : toolCallMessage.tool_calls[0]?.function
-                                ?.arguments || {},
-                      },
-                    },
-                  ],
-                },
-                {
-                  role: "user",
-                  content: [
-                    {
-                      toolResult: {
-                        toolUseId: toolCallResult[0].tool_call_id,
-                        content: [
-                          {
-                            json: {
-                              content: toolCallResult[0].content,
-                            },
-                          },
-                        ],
-                      },
-                    },
-                  ],
-                },
-              );
-            } else {
-              console.warn(
-                `[Bedrock Client] Unhandled model type for tool calls: ${modelId}`,
-              );
-            }
-          },
-          options,
-        );
-      } else {
-        try {
-          controller.signal.onabort = () =>
-            options.onFinish("", new Response(null, { status: 400 }));
-          const newHeaders = await getBedrockHeaders(
-            modelConfig.model,
-            chatPath,
-            JSON.stringify(finalRequestBody),
-            shouldStream,
-          );
-          const res = await fetch(chatPath, {
-            method: "POST",
-            headers: newHeaders,
-            body: JSON.stringify(finalRequestBody),
-          });
-          const contentType = res.headers.get("content-type");
-          console.log(
-            "[Bedrock  Not Stream Request] response content type: ",
-            contentType,
-          );
-          const resJson = await res.json();
-          const message = extractMessage(resJson);
-          options.onFinish(message, res);
-        } catch (e) {
-          const error =
-            e instanceof Error ? e : new Error("Unknown error occurred");
-          console.error("[Bedrock Client] Chat failed:", error.message);
-          options.onError?.(error);
-        }
-      }
-    } catch (e) {
-      console.error("[Bedrock Client] Chat error:", e);
-      options.onError?.(e as Error);
-    }
-  }
-
-  async usage() {
-    return { used: 0, total: 0 };
-  }
-
-  async models() {
-    return [];
-  }
-}
-
-function bedrockStream(
-  modelId: string,
-  chatPath: string,
-  requestPayload: any,
-  funcs: Record<string, Function>,
-  controller: AbortController,
-  processToolMessage: (
-    requestPayload: any,
-    toolCallMessage: any,
-    toolCallResult: any[],
-  ) => void,
-  options: any,
-) {
-  let responseText = "";
-  let remainText = "";
-  let finished = false;
-  let running = false;
-  let runTools: any[] = [];
-  let responseRes: Response;
-  let index = -1;
-  let chunks: Uint8Array[] = [];
-  let pendingChunk: Uint8Array | null = null;
-
-  function animateResponseText() {
-    if (finished || controller.signal.aborted) {
-      responseText += remainText;
-      console.log("[Response Animation] finished");
-      if (responseText?.length === 0) {
-        options.onError?.(new Error("empty response from server"));
-      }
-      return;
-    }
-
-    if (remainText.length > 0) {
-      const fetchCount = Math.max(1, Math.round(remainText.length / 60));
-      const fetchText = remainText.slice(0, fetchCount);
-      responseText += fetchText;
-      remainText = remainText.slice(fetchCount);
-      options.onUpdate?.(responseText, fetchText);
-    }
-
-    requestAnimationFrame(animateResponseText);
-  }
-
-  animateResponseText();
-
-  const finish = () => {
-    if (!finished) {
-      if (!running && runTools.length > 0) {
-        const toolCallMessage = {
-          role: "assistant",
-          tool_calls: [...runTools],
-        };
-        running = true;
-        runTools.splice(0, runTools.length);
-        return Promise.all(
-          toolCallMessage.tool_calls.map((tool) => {
-            options?.onBeforeTool?.(tool);
-            const funcName = tool?.function?.name || tool?.name;
-            if (!funcName || !funcs[funcName]) {
-              console.error(`Function ${funcName} not found in funcs:`, funcs);
-              return Promise.reject(`Function ${funcName} not found`);
-            }
-            return Promise.resolve(
-              funcs[funcName](
-                tool?.function?.arguments
-                  ? JSON.parse(tool?.function?.arguments)
-                  : {},
-              ),
-            )
-              .then((res) => {
-                let content = res.data || res?.statusText;
-                content =
-                  typeof content === "string"
-                    ? content
-                    : JSON.stringify(content);
-                if (res.status >= 300) {
-                  return Promise.reject(content);
-                }
-                return content;
-              })
-              .then((content) => {
-                options?.onAfterTool?.({
-                  ...tool,
-                  content,
-                  isError: false,
-                });
-                return content;
-              })
-              .catch((e) => {
-                options?.onAfterTool?.({
-                  ...tool,
-                  isError: true,
-                  errorMsg: e.toString(),
-                });
-                return e.toString();
-              })
-              .then((content) => ({
-                name: funcName,
-                role: "tool",
-                content,
-                tool_call_id: tool.id,
-              }));
-          }),
-        ).then((toolCallResult) => {
-          processToolMessage(requestPayload, toolCallMessage, toolCallResult);
-          setTimeout(() => {
-            console.debug("[BedrockAPI for toolCallResult] restart");
-            running = false;
-            bedrockChatApi(modelId, chatPath, requestPayload, true);
-          }, 60);
-        });
-      }
-      if (running) {
-        return;
-      }
-      console.debug("[BedrockAPI] end");
-      finished = true;
-      options.onFinish(responseText + remainText, responseRes);
-    }
-  };
-
-  controller.signal.onabort = finish;
-
-  async function bedrockChatApi(
-    modelId: string,
-    chatPath: string,
-    requestPayload: any,
-    shouldStream: boolean,
-  ) {
-    const requestTimeoutId = setTimeout(
-      () => controller.abort(),
-      REQUEST_TIMEOUT_MS,
-    );
-
-    const newHeaders = await getBedrockHeaders(
-      modelId,
-      chatPath,
-      JSON.stringify(requestPayload),
-      shouldStream,
-    );
-    try {
-      const res = await fetch(chatPath, {
-        method: "POST",
-        headers: newHeaders,
-        body: JSON.stringify(requestPayload),
-        redirect: "manual",
-        // @ts-ignore
-        duplex: "half",
-        signal: controller.signal,
-      });
-
-      clearTimeout(requestTimeoutId);
-      responseRes = res;
-
-      const contentType = res.headers.get("content-type");
-      // console.log(
-      //   "[Bedrock Stream Request] response content type: ",
-      //   contentType,
-      // );
-
-      if (contentType?.startsWith("text/plain")) {
-        responseText = await res.text();
-        return finish();
-      }
-
-      if (
-        !res.ok ||
-        res.status !== 200 ||
-        !contentType?.startsWith("application/vnd.amazon.eventstream")
-      ) {
-        const responseTexts = [responseText];
-        let extraInfo = await res.text();
-        try {
-          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();
-      }
-
-      const reader = res.body?.getReader();
-      if (!reader) {
-        throw new Error("No response body reader available");
-      }
-
-      try {
-        while (true) {
-          const { done, value } = await reader.read();
-          if (done) {
-            if (pendingChunk) {
-              try {
-                const parsed = parseEventData(pendingChunk);
-                if (parsed) {
-                  const result = processMessage(
-                    parsed,
-                    remainText,
-                    runTools,
-                    index,
-                  );
-                  remainText = result.remainText;
-                  index = result.index;
-                }
-              } catch (e) {
-                console.error("[Final Chunk Process Error]:", e);
-              }
-            }
-            break;
-          }
-
-          chunks.push(value);
-
-          const result = processChunks(
-            chunks,
-            pendingChunk,
-            remainText,
-            runTools,
-            index,
-          );
-          chunks = result.chunks;
-          pendingChunk = result.pendingChunk;
-          remainText = result.remainText;
-          index = result.index;
-        }
-      } catch (err) {
-        console.error(
-          "[Bedrock Stream]:",
-          err instanceof Error ? err.message : "Stream processing failed",
-        );
-        throw new Error("Failed to process stream response");
-      } finally {
-        reader.releaseLock();
-        finish();
-      }
-    } catch (e) {
-      if (e instanceof Error && e.name === "AbortError") {
-        console.log("[Bedrock Client] Aborted by user");
-        return;
-      }
-      console.error(
-        "[Bedrock Request] Failed:",
-        e instanceof Error ? e.message : "Request failed",
-      );
-      options.onError?.(e);
-      throw new Error("Request processing failed");
-    }
-  }
-
-  console.debug("[BedrockAPI] start");
-  bedrockChatApi(modelId, chatPath, requestPayload, true);
-}
--- a/app/client/platforms/deepseek.ts
+++ b/app/client/platforms/deepseek.ts
@@ -75,6 +75,25 @@ export class DeepSeekApi implements LLMApi {
      }
    }

+    // 检测并修复消息顺序，确保除system外的第一个消息是user
+    const filteredMessages: ChatOptions["messages"] = [];
+    let hasFoundFirstUser = false;
+
+    for (const msg of messages) {
+      if (msg.role === "system") {
+        // Keep all system messages
+        filteredMessages.push(msg);
+      } else if (msg.role === "user") {
+        // User message directly added
+        filteredMessages.push(msg);
+        hasFoundFirstUser = true;
+      } else if (hasFoundFirstUser) {
+        // After finding the first user message, all subsequent non-system messages are retained.
+        filteredMessages.push(msg);
+      }
+      // If hasFoundFirstUser is false and it is not a system message, it will be skipped.
+    }
+
    const modelConfig = {
      ...useAppConfig.getState().modelConfig,
      ...useChatStore.getState().currentSession().mask.modelConfig,
@@ -85,7 +104,7 @@ export class DeepSeekApi implements LLMApi {
    };

    const requestPayload: RequestPayload = {
-      messages,
+      messages: filteredMessages,
      stream: options.config.stream,
      model: modelConfig.model,
      temperature: modelConfig.temperature,
--- a/app/components/chat.module.scss
+++ b/app/components/chat.module.scss
@@ -750,4 +750,4 @@
      transform: translateX(0);
    }
  }
-}
+}
--- a/app/components/emoji.tsx
+++ b/app/components/emoji.tsx
@@ -66,11 +66,11 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
      LlmIcon = BotIconGemma;
    } else if (modelName.startsWith("claude")) {
      LlmIcon = BotIconClaude;
-    } else if (modelName.toLowerCase().includes("llama")) {
+    } else if (modelName.includes("llama")) {
      LlmIcon = BotIconMeta;
-    } else if (modelName.startsWith("mixtral")) {
+    } else if (modelName.startsWith("mixtral") || modelName.startsWith("codestral")) {
      LlmIcon = BotIconMistral;
-    } else if (modelName.toLowerCase().includes("deepseek")) {
+    } else if (modelName.includes("deepseek")) {
      LlmIcon = BotIconDeepseek;
    } else if (modelName.startsWith("moonshot")) {
      LlmIcon = BotIconMoonshot;
@@ -85,7 +85,7 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
    } else if (modelName.startsWith("doubao") || modelName.startsWith("ep-")) {
      LlmIcon = BotIconDoubao;
    } else if (
-      modelName.toLowerCase().includes("glm") ||
+      modelName.includes("glm") ||
      modelName.startsWith("cogview-") ||
      modelName.startsWith("cogvideox-")
    ) {
--- a/app/components/settings.tsx
+++ b/app/components/settings.tsx
@@ -1,4 +1,5 @@
 import { useState, useEffect, useMemo } from "react";
+
 import styles from "./settings.module.scss";

 import ResetIcon from "../icons/reload.svg";
@@ -966,89 +967,7 @@ export function Settings() {
      </ListItem>
    </>
  );
-  const bedrockConfigComponent = accessStore.provider ===
-    ServiceProvider.Bedrock && (
-    <>
-      <ListItem
-        title={Locale.Settings.Access.Bedrock.Region.Title}
-        subTitle={Locale.Settings.Access.Bedrock.Region.SubTitle}
-      >
-        <input
-          aria-label={Locale.Settings.Access.Bedrock.Region.Title}
-          type="text"
-          value={accessStore.awsRegion}
-          placeholder="us-west-2"
-          onChange={(e) =>
-            accessStore.update((access) => {
-              const region = e.currentTarget.value;
-              access.awsRegion = region;
-            })
-          }
-        />
-      </ListItem>
-      <ListItem
-        title={Locale.Settings.Access.Bedrock.AccessKey.Title}
-        subTitle={Locale.Settings.Access.Bedrock.AccessKey.SubTitle}
-      >
-        <PasswordInput
-          aria-label={Locale.Settings.Access.Bedrock.AccessKey.Title}
-          value={accessStore.awsAccessKey}
-          type="text"
-          placeholder={Locale.Settings.Access.Bedrock.AccessKey.Placeholder}
-          onChange={(e) => {
-            accessStore.update((access) => {
-              const accessKey = e.currentTarget.value;
-              access.awsAccessKey = accessKey;
-            });
-          }}
-          maskWhenShow={true}
-        />
-      </ListItem>
-      <ListItem
-        title={Locale.Settings.Access.Bedrock.SecretKey.Title}
-        subTitle={Locale.Settings.Access.Bedrock.SecretKey.SubTitle}
-      >
-        <PasswordInput
-          aria-label={Locale.Settings.Access.Bedrock.SecretKey.Title}
-          value={accessStore.awsSecretKey}
-          type="text"
-          placeholder={Locale.Settings.Access.Bedrock.SecretKey.Placeholder}
-          onChange={(e) => {
-            accessStore.update((access) => {
-              const secretKey = e.currentTarget.value;
-              access.awsSecretKey = secretKey;
-            });
-          }}
-          maskWhenShow={true}
-        />
-      </ListItem>
-      <ListItem
-        title={Locale.Settings.Access.Bedrock.EncryptionKey.Title}
-        subTitle={Locale.Settings.Access.Bedrock.EncryptionKey.SubTitle}
-      >
-        <PasswordInput
-          aria-label={Locale.Settings.Access.Bedrock.EncryptionKey.Title}
-          value={accessStore.encryptionKey}
-          type="text"
-          placeholder={Locale.Settings.Access.Bedrock.EncryptionKey.Placeholder}
-          onChange={(e) => {
-            accessStore.update(
-              (access) => (access.encryptionKey = e.currentTarget.value),
-            );
-          }}
-          onBlur={(e) => {
-            const value = e.currentTarget.value;
-            if (!value || value.length < 8) {
-              showToast(Locale.Settings.Access.Bedrock.EncryptionKey.Invalid);
-              accessStore.update((access) => (access.encryptionKey = ""));
-              return;
-            }
-          }}
-          maskWhenShow={true}
-        />
-      </ListItem>
-    </>
-  );
+
  const baiduConfigComponent = accessStore.provider ===
    ServiceProvider.Baidu && (
    <>
@@ -1889,7 +1808,6 @@ export function Settings() {
                  </ListItem>

                  {openAIConfigComponent}
-                  {bedrockConfigComponent}
                  {azureConfigComponent}
                  {googleConfigComponent}
                  {anthropicConfigComponent}
--- a/app/components/ui-lib.tsx
+++ b/app/components/ui-lib.tsx
@@ -11,7 +11,6 @@ import MaxIcon from "../icons/max.svg";
 import MinIcon from "../icons/min.svg";

 import Locale from "../locales";
-import { maskSensitiveValue } from "../utils/aws";

 import { createRoot } from "react-dom/client";
 import React, {
@@ -271,25 +270,13 @@ export function Input(props: InputProps) {
 }

 export function PasswordInput(
-  props: HTMLProps<HTMLInputElement> & {
-    aria?: string;
-    maskWhenShow?: boolean;
-  },
+  props: HTMLProps<HTMLInputElement> & { aria?: string },
 ) {
  const [visible, setVisible] = useState(false);
-  const [isEditing, setIsEditing] = useState(false);
-  const { maskWhenShow, onChange, value, ...inputProps } = props;
-
  function changeVisibility() {
    setVisible(!visible);
  }

-  // Get display value - use masked value only when showing and maskWhenShow is true and not editing
-  const displayValue =
-    maskWhenShow && visible && value && !isEditing
-      ? maskSensitiveValue(value as string)
-      : value;
-
  return (
    <div className={"password-input-container"}>
      <IconButton
@@ -299,11 +286,7 @@ export function PasswordInput(
        className={"password-eye"}
      />
      <input
-        {...inputProps}
-        value={displayValue}
-        onChange={onChange}
-        onFocus={() => setIsEditing(true)}
-        onBlur={() => setIsEditing(false)}
+        {...props}
        type={visible ? "text" : "password"}
        className={"password-input"}
      />
@@ -569,7 +552,6 @@ export function Selector<T>(props: {
    </div>
  );
 }
-
 export function FullScreen(props: any) {
  const { children, right = 10, top = 10, ...rest } = props;
  const ref = useRef<HTMLDivElement>();
--- a/app/config/server.ts
+++ b/app/config/server.ts
@@ -13,12 +13,6 @@ declare global {
      BASE_URL?: string;
      OPENAI_ORG_ID?: string; // openai only

-      // bedrock only
-      AWS_REGION?: string;
-      AWS_ACCESS_KEY?: string;
-      AWS_SECRET_KEY?: string;
-      ENCRYPTION_KEY?: string;
-
      VERCEL?: string;
      BUILD_MODE?: "standalone" | "export";
      BUILD_APP?: string; // is building desktop app
@@ -154,10 +148,7 @@ export const getServerSideConfig = () => {
  }

  const isStability = !!process.env.STABILITY_API_KEY;
-  const isBedrock =
-    !!process.env.AWS_REGION &&
-    !!process.env.AWS_ACCESS_KEY &&
-    !!process.env.AWS_SECRET_KEY;
+
  const isAzure = !!process.env.AZURE_URL;
  const isGoogle = !!process.env.GOOGLE_API_KEY;
  const isAnthropic = !!process.env.ANTHROPIC_API_KEY;
@@ -189,12 +180,6 @@ export const getServerSideConfig = () => {
    apiKey: getApiKey(process.env.OPENAI_API_KEY),
    openaiOrgId: process.env.OPENAI_ORG_ID,

-    isBedrock,
-    awsRegion: process.env.AWS_REGION,
-    awsAccessKey: process.env.AWS_ACCESS_KEY,
-    awsSecretKey: process.env.AWS_SECRET_KEY,
-    encryptionKey: process.env.ENCRYPTION_KEY,
-
    isStability,
    stabilityUrl: process.env.STABILITY_URL,
    stabilityApiKey: getApiKey(process.env.STABILITY_API_KEY),
--- a/app/constant.ts
+++ b/app/constant.ts
@@ -56,7 +56,6 @@ export enum Path {

 export enum ApiPath {
  Cors = "",
-  Bedrock = "/api/bedrock",
  Azure = "/api/azure",
  OpenAI = "/api/openai",
  Anthropic = "/api/anthropic",
@@ -130,7 +129,6 @@ export enum ServiceProvider {
  XAI = "XAI",
  ChatGLM = "ChatGLM",
  DeepSeek = "DeepSeek",
-  Bedrock = "Bedrock",
  SiliconFlow = "SiliconFlow",
 }

@@ -157,7 +155,6 @@ export enum ModelProvider {
  XAI = "XAI",
  ChatGLM = "ChatGLM",
  DeepSeek = "DeepSeek",
-  Bedrock = "Bedrock",
  SiliconFlow = "SiliconFlow",
 }

@@ -224,7 +221,12 @@ export const ByteDance = {

 export const Alibaba = {
  ExampleEndpoint: ALIBABA_BASE_URL,
-  ChatPath: "v1/services/aigc/text-generation/generation",
+  ChatPath: (modelName: string) => {
+    if (modelName.includes("vl") || modelName.includes("omni")) {
+      return "v1/services/aigc/multimodal-generation/generation";
+    }
+    return `v1/services/aigc/text-generation/generation`;
+  },
 };

 export const Tencent = {
@@ -258,15 +260,6 @@ export const ChatGLM = {
  VideoPath: "api/paas/v4/videos/generations",
 };

-export const Bedrock = {
-  ChatPath: "model", // Simplified path since we'll append the full path in bedrock.ts
-  ApiVersion: "2023-11-01",
-  getEndpoint: (region: string = "us-west-2") =>
-    `https://bedrock-runtime.${region}.amazonaws.com`,
-};
-// Get the region from access store for BEDROCK_BASE_URL
-export const BEDROCK_BASE_URL = Bedrock.getEndpoint();
-
 export const SiliconFlow = {
  ExampleEndpoint: SILICONFLOW_BASE_URL,
  ChatPath: "v1/chat/completions",
@@ -424,6 +417,14 @@ export const KnowledgeCutOffDate: Record<string, string> = {
  "gpt-4-turbo": "2023-12",
  "gpt-4-turbo-2024-04-09": "2023-12",
  "gpt-4-turbo-preview": "2023-12",
+  "gpt-4.1": "2024-06",
+  "gpt-4.1-2025-04-14": "2024-06",
+  "gpt-4.1-mini": "2024-06",
+  "gpt-4.1-mini-2025-04-14": "2024-06",
+  "gpt-4.1-nano": "2024-06",
+  "gpt-4.1-nano-2025-04-14": "2024-06",
+  "gpt-4.5-preview": "2023-10",
+  "gpt-4.5-preview-2025-02-27": "2023-10",
  "gpt-4o": "2023-10",
  "gpt-4o-2024-05-13": "2023-10",
  "gpt-4o-2024-08-06": "2023-10",
@@ -465,6 +466,7 @@ export const DEFAULT_TTS_VOICES = [
 export const VISION_MODEL_REGEXES = [
  /vision/,
  /gpt-4o/,
+  /gpt-4\.1/,
  /claude-3/,
  /gemini-1\.5/,
  /gemini-exp/,
@@ -475,8 +477,6 @@ export const VISION_MODEL_REGEXES = [
  /gpt-4-turbo(?!.*preview)/, // Matches "gpt-4-turbo" but not "gpt-4-turbo-preview"
  /^dall-e-3$/, // Matches exactly "dall-e-3"
  /glm-4v/,
-  /nova-lite/,
-  /nova-pro/,
  /vl/i,
 ];

@@ -494,6 +494,14 @@ const openaiModels = [
  "gpt-4-32k-0613",
  "gpt-4-turbo",
  "gpt-4-turbo-preview",
+  "gpt-4.1",
+  "gpt-4.1-2025-04-14",
+  "gpt-4.1-mini",
+  "gpt-4.1-mini-2025-04-14",
+  "gpt-4.1-nano",
+  "gpt-4.1-nano-2025-04-14",
+  "gpt-4.5-preview",
+  "gpt-4.5-preview-2025-02-27",
  "gpt-4o",
  "gpt-4o-2024-05-13",
  "gpt-4o-2024-08-06",
@@ -510,28 +518,6 @@ const openaiModels = [
  "o3-mini",
 ];

-const bedrockModels = [
-  // Amazon nova Models
-  "us.amazon.nova-micro-v1:0",
-  "us.amazon.nova-lite-v1:0",
-  "us.amazon.nova-pro-v1:0",
-  // Claude Models
-  "anthropic.claude-3-haiku-20240307-v1:0",
-  "anthropic.claude-3-5-haiku-20241022-v1:0",
-  "anthropic.claude-3-sonnet-20240229-v1:0",
-  "anthropic.claude-3-5-sonnet-20241022-v2:0",
-  "anthropic.claude-3-opus-20240229-v1:0",
-  // Meta Llama Models
-  "us.meta.llama3-1-8b-instruct-v1:0",
-  "us.meta.llama3-1-70b-instruct-v1:0",
-  "us.meta.llama3-2-11b-instruct-v1:0",
-  "us.meta.llama3-2-90b-instruct-v1:0",
-  "us.meta.llama3-3-70b-instruct-v1:0",
-  // Mistral Models
-  "mistral.mistral-large-2402-v1:0",
-  "mistral.mistral-large-2407-v1:0",
-];
-
 const googleModels = [
  "gemini-1.0-pro", // Deprecated on 2/15/2025
  "gemini-1.5-pro-latest",
@@ -571,6 +557,8 @@ const anthropicModels = [
  "claude-3-5-sonnet-20240620",
  "claude-3-5-sonnet-20241022",
  "claude-3-5-sonnet-latest",
+  "claude-3-7-sonnet-20250219",
+  "claude-3-7-sonnet-latest",
 ];

 const baiduModels = [
@@ -604,6 +592,9 @@ const alibabaModes = [
  "qwen-max-0403",
  "qwen-max-0107",
  "qwen-max-longcontext",
+  "qwen-omni-turbo",
+  "qwen-vl-plus",
+  "qwen-vl-max",
 ];

 const tencentModels = [
@@ -799,7 +790,6 @@ export const DEFAULT_MODELS = [
      sorted: 11,
    },
  })),
-
  ...chatglmModels.map((name) => ({
    name,
    available: true,
@@ -833,17 +823,6 @@ export const DEFAULT_MODELS = [
      sorted: 14,
    },
  })),
-  ...bedrockModels.map((name) => ({
-     name,
-     available: true,
-     sorted: seq++,
-     provider: {
-      id: "bedrock",
-      providerName: "Bedrock",
-      providerType: "bedrock",
-      sorted: 15,
-         },
-  })),
 ] as const;

 export const CHAT_PAGE_SIZE = 15;
--- a/app/locales/cn.ts
+++ b/app/locales/cn.ts
@@ -343,32 +343,6 @@ const cn = {
          SubTitle: "除默认地址外，必须包含 http(s)://",
        },
      },
-      Bedrock: {
-        Region: {
-          Title: "AWS 区域",
-          SubTitle: "Bedrock 服务所在的 AWS 区域",
-          Placeholder: "us-west-2",
-          Invalid: "无效的 AWS 区域格式。示例：us-west-2",
-        },
-        AccessKey: {
-          Title: "AWS 访问密钥 ID",
-          SubTitle: "用于 Bedrock 服务的 AWS 访问密钥 ID",
-          Placeholder: "AKIA...",
-          Invalid: "无效的 AWS Access Key 格式。必须为20个字符。",
-        },
-        SecretKey: {
-          Title: "AWS 私有访问密钥",
-          SubTitle: "用于 Bedrock 服务的 AWS 私有访问密钥",
-          Placeholder: "****",
-          Invalid: "无效的 AWS Secret Key 格式。必须为40个字符。",
-        },
-        EncryptionKey: {
-          Title: "加密密钥",
-          SubTitle: "用于配置数据的加密密钥",
-          Placeholder: "输入加密密钥",
-          Invalid: "无效的加密密钥。必须至少包含8个字符！",
-        },
-      },
      Azure: {
        ApiKey: {
          Title: "接口密钥",
--- a/app/locales/en.ts
+++ b/app/locales/en.ts
@@ -347,33 +347,6 @@ const en: LocaleType = {
          SubTitle: "Must start with http(s):// or use /api/openai as default",
        },
      },
-      Bedrock: {
-        Region: {
-          Title: "AWS Region",
-          SubTitle: "The AWS region where Bedrock service is located",
-          Placeholder: "us-west-2",
-          Invalid: "Invalid AWS region format. Example: us-west-2",
-        },
-        AccessKey: {
-          Title: "AWS Access Key ID",
-          SubTitle: "Your AWS access key ID for Bedrock service",
-          Placeholder: "AKIA...",
-          Invalid: "Invalid AWS access key format. Must be 20 characters long.",
-        },
-        SecretKey: {
-          Title: "AWS Secret Access Key",
-          SubTitle: "Your AWS secret access key for Bedrock service",
-          Placeholder: "****",
-          Invalid: "Invalid AWS secret key format. Must be 40 characters long.",
-        },
-        EncryptionKey: {
-          Title: "Encryption Key",
-          SubTitle: "Your encryption key for configuration data",
-          Placeholder: "Enter encryption key",
-          Invalid:
-            "Invalid encryption key format. Must no less than 8 characters long!",
-        },
-      },
      Azure: {
        ApiKey: {
          Title: "Azure Api Key",
--- a/app/store/access.ts
+++ b/app/store/access.ts
@@ -16,7 +16,6 @@ import {
  DEEPSEEK_BASE_URL,
  XAI_BASE_URL,
  CHATGLM_BASE_URL,
-  BEDROCK_BASE_URL,
  SILICONFLOW_BASE_URL,
 } from "../constant";
 import { getHeaders } from "../client/api";
@@ -25,26 +24,36 @@ import { createPersistStore } from "../utils/store";
 import { ensure } from "../utils/clone";
 import { DEFAULT_CONFIG } from "./config";
 import { getModelProvider } from "../utils/model";
-import { encrypt, decrypt } from "../utils/aws";

 let fetchState = 0; // 0 not fetch, 1 fetching, 2 done

 const isApp = getClientConfig()?.buildMode === "export";

 const DEFAULT_OPENAI_URL = isApp ? OPENAI_BASE_URL : ApiPath.OpenAI;
+
 const DEFAULT_GOOGLE_URL = isApp ? GEMINI_BASE_URL : ApiPath.Google;
+
 const DEFAULT_ANTHROPIC_URL = isApp ? ANTHROPIC_BASE_URL : ApiPath.Anthropic;
+
 const DEFAULT_BAIDU_URL = isApp ? BAIDU_BASE_URL : ApiPath.Baidu;
+
 const DEFAULT_BYTEDANCE_URL = isApp ? BYTEDANCE_BASE_URL : ApiPath.ByteDance;
+
 const DEFAULT_ALIBABA_URL = isApp ? ALIBABA_BASE_URL : ApiPath.Alibaba;
+
 const DEFAULT_TENCENT_URL = isApp ? TENCENT_BASE_URL : ApiPath.Tencent;
+
 const DEFAULT_MOONSHOT_URL = isApp ? MOONSHOT_BASE_URL : ApiPath.Moonshot;
+
 const DEFAULT_STABILITY_URL = isApp ? STABILITY_BASE_URL : ApiPath.Stability;
+
 const DEFAULT_IFLYTEK_URL = isApp ? IFLYTEK_BASE_URL : ApiPath.Iflytek;
+
 const DEFAULT_DEEPSEEK_URL = isApp ? DEEPSEEK_BASE_URL : ApiPath.DeepSeek;
+
 const DEFAULT_XAI_URL = isApp ? XAI_BASE_URL : ApiPath.XAI;
+
 const DEFAULT_CHATGLM_URL = isApp ? CHATGLM_BASE_URL : ApiPath.ChatGLM;
-const DEFAULT_BEDROCK_URL = isApp ? BEDROCK_BASE_URL : ApiPath.Bedrock;

 const DEFAULT_SILICONFLOW_URL = isApp
  ? SILICONFLOW_BASE_URL
@@ -119,19 +128,10 @@ const DEFAULT_ACCESS_STATE = {
  chatglmUrl: DEFAULT_CHATGLM_URL,
  chatglmApiKey: "",

-  // aws bedrock
-  bedrockUrl: DEFAULT_BEDROCK_URL,
-  awsRegion: "",
-  awsAccessKey: "",
-  awsSecretKey: "",
-  encryptionKey: "",
-  bedrockAnthropicVersion: "bedrock-2023-05-31",
-
  // siliconflow
  siliconflowUrl: DEFAULT_SILICONFLOW_URL,
  siliconflowApiKey: "",

-
  // server config
  needCode: true,
  hideUserApiKey: false,
@@ -148,9 +148,11 @@ const DEFAULT_ACCESS_STATE = {

 export const useAccessStore = createPersistStore(
  { ...DEFAULT_ACCESS_STATE },
+
  (set, get) => ({
    enabledAccessControl() {
      this.fetch();
+
      return get().needCode;
    },
    getVisionModels() {
@@ -159,6 +161,7 @@ export const useAccessStore = createPersistStore(
    },
    edgeVoiceName() {
      this.fetch();
+
      return get().edgeTTSVoiceName;
    },

@@ -197,7 +200,6 @@ export const useAccessStore = createPersistStore(
    isValidMoonshot() {
      return ensure(get(), ["moonshotApiKey"]);
    },
-
    isValidIflytek() {
      return ensure(get(), ["iflytekApiKey"]);
    },
@@ -213,19 +215,8 @@ export const useAccessStore = createPersistStore(
      return ensure(get(), ["chatglmApiKey"]);
    },

-
-    isValidBedrock() {
-      return ensure(get(), [
-        "awsRegion",
-        "awsAccessKey",
-        "awsSecretKey",
-        "encryptionKey",
-      ]);
-    },
-
    isValidSiliconFlow() {
      return ensure(get(), ["siliconflowApiKey"]);
-
    },

    isAuthorized() {
@@ -246,13 +237,11 @@ export const useAccessStore = createPersistStore(
        this.isValidDeepSeek() ||
        this.isValidXAI() ||
        this.isValidChatGLM() ||
-        this.isValidBedrock() ||
        this.isValidSiliconFlow() ||
        !this.enabledAccessControl() ||
        (this.enabledAccessControl() && ensure(get(), ["accessCode"]))
      );
    },
-
    fetch() {
      if (fetchState > 0 || getClientConfig()?.buildMode === "export") return;
      fetchState = 1;
@@ -271,6 +260,7 @@ export const useAccessStore = createPersistStore(
            DEFAULT_CONFIG.modelConfig.model = model;
            DEFAULT_CONFIG.modelConfig.providerName = providerName as any;
          }
+
          return res;
        })
        .then((res: DangerConfig) => {
@@ -284,43 +274,6 @@ export const useAccessStore = createPersistStore(
          fetchState = 2;
        });
    },
-
-    // Override the set method to encrypt AWS credentials before storage
-    set: (partial: { [key: string]: any }) => {
-      if (partial.awsAccessKey) {
-        partial.awsAccessKey = encrypt(
-          partial.awsAccessKey,
-          partial.encryptionKey,
-        );
-      }
-      if (partial.awsSecretKey) {
-        partial.awsSecretKey = encrypt(
-          partial.awsSecretKey,
-          partial.encryptionKey,
-        );
-      }
-      if (partial.awsRegion) {
-        partial.awsRegion = encrypt(partial.awsRegion, partial.encryptionKey);
-      }
-      set(partial);
-    },
-
-    // Add getter to decrypt AWS credentials when needed
-    get: () => {
-      const state = get();
-      return {
-        ...state,
-        awsRegion: state.awsRegion
-          ? decrypt(state.awsRegion, state.encryptionKey)
-          : "",
-        awsAccessKey: state.awsAccessKey
-          ? decrypt(state.awsAccessKey, state.encryptionKey)
-          : "",
-        awsSecretKey: state.awsSecretKey
-          ? decrypt(state.awsSecretKey, state.encryptionKey)
-          : "",
-      };
-    },
  }),
  {
    name: StoreKey.Access,
--- a/app/utils.ts
+++ b/app/utils.ts
@@ -344,13 +344,6 @@ export function showPlugins(provider: ServiceProvider, model: string) {
  if (provider == ServiceProvider.Anthropic && !model.includes("claude-2")) {
    return true;
  }
-  if (
-    (provider == ServiceProvider.Bedrock && model.includes("claude-3")) ||
-    model.includes("mistral-large") ||
-    model.includes("amazon.nova")
-  ) {
-    return true;
-  }
  if (provider == ServiceProvider.Google && !model.includes("vision")) {
    return true;
  }
--- a/app/utils/aws.ts
+++ b/app/utils/aws.ts
@@ -1,696 +0,0 @@
-// Types and Interfaces
-export interface BedrockCredentials {
-  region: string;
-  accessKeyId: string;
-  secretAccessKey: string;
-}
-
-// Type definitions for better type safety
-type ParsedEvent = Record<string, any>;
-type EventResult = ParsedEvent[];
-
-// Using a dot as separator since it's not used in Base64
-const SEPARATOR = "~";
-
-// Unified crypto utilities for both frontend and backend
-async function generateKey(
-  password: string,
-  salt: Uint8Array,
-): Promise<CryptoKey> {
-  const enc = new TextEncoder();
-  const keyMaterial = await crypto.subtle.importKey(
-    "raw",
-    enc.encode(password),
-    { name: "PBKDF2" },
-    false,
-    ["deriveBits", "deriveKey"],
-  );
-
-  return crypto.subtle.deriveKey(
-    {
-      name: "PBKDF2",
-      salt,
-      iterations: 100000,
-      hash: "SHA-256",
-    },
-    keyMaterial,
-    { name: "AES-GCM", length: 256 },
-    false,
-    ["encrypt", "decrypt"],
-  );
-}
-
-function arrayBufferToBase64(buffer: ArrayBuffer | Uint8Array): string {
-  const bytes = buffer instanceof Uint8Array ? buffer : new Uint8Array(buffer);
-  return btoa(String.fromCharCode(...bytes));
-}
-
-function base64ToArrayBuffer(base64: string): Uint8Array {
-  const binaryString = atob(base64);
-  const bytes = new Uint8Array(binaryString.length);
-  for (let i = 0; i < binaryString.length; i++) {
-    bytes[i] = binaryString.charCodeAt(i);
-  }
-  return bytes;
-}
-
-export async function encrypt(
-  data: string,
-  encryptionKey: string,
-): Promise<string> {
-  if (!data) return "";
-  if (!encryptionKey) {
-    throw new Error("Encryption key is required for AWS credential encryption");
-  }
-
-  try {
-    const enc = new TextEncoder();
-    const salt = crypto.getRandomValues(new Uint8Array(16));
-    const iv = crypto.getRandomValues(new Uint8Array(12));
-    const key = await generateKey(encryptionKey, salt);
-
-    const encrypted = await crypto.subtle.encrypt(
-      {
-        name: "AES-GCM",
-        iv,
-      },
-      key,
-      enc.encode(data),
-    );
-
-    // Convert to base64 strings
-    const encryptedBase64 = arrayBufferToBase64(encrypted);
-    const saltBase64 = arrayBufferToBase64(salt);
-    const ivBase64 = arrayBufferToBase64(iv);
-
-    return [saltBase64, ivBase64, encryptedBase64].join(SEPARATOR);
-  } catch (error) {
-    // console.error("[Encryption Error]:", error);
-    throw new Error("Failed to encrypt AWS credentials");
-  }
-}
-
-export async function decrypt(
-  encryptedData: string,
-  encryptionKey: string,
-): Promise<string> {
-  if (!encryptedData) return "";
-  if (!encryptionKey) {
-    throw new Error("Encryption key is required for AWS credential decryption");
-  }
-
-  try {
-    const [saltBase64, ivBase64, cipherBase64] = encryptedData.split(SEPARATOR);
-
-    // Convert base64 strings back to Uint8Arrays
-    const salt = base64ToArrayBuffer(saltBase64);
-    const iv = base64ToArrayBuffer(ivBase64);
-    const cipherData = base64ToArrayBuffer(cipherBase64);
-
-    const key = await generateKey(encryptionKey, salt);
-
-    const decrypted = await crypto.subtle.decrypt(
-      {
-        name: "AES-GCM",
-        iv,
-      },
-      key,
-      cipherData,
-    );
-
-    const dec = new TextDecoder();
-    return dec.decode(decrypted);
-  } catch (error) {
-    throw new Error("Failed to decrypt AWS credentials");
-  }
-}
-
-export function maskSensitiveValue(value: string): string {
-  if (!value) return "";
-  if (value.length <= 6) return value;
-  const masked = "*".repeat(value.length - 6);
-  return value.slice(0, 3) + masked + value.slice(-3);
-}
-
-// AWS Signing
-export interface SignParams {
-  method: string;
-  url: string;
-  region: string;
-  accessKeyId: string;
-  secretAccessKey: string;
-  body: string | object;
-  service: string;
-  headers?: Record<string, string>;
-  isStreaming?: boolean;
-}
-
-async function createHmac(
-  key: ArrayBuffer | Uint8Array,
-  data: string,
-): Promise<ArrayBuffer> {
-  const encoder = new TextEncoder();
-  const keyData = key instanceof Uint8Array ? key : new Uint8Array(key);
-  const keyObject = await crypto.subtle.importKey(
-    "raw",
-    keyData,
-    { name: "HMAC", hash: "SHA-256" },
-    false,
-    ["sign"],
-  );
-  return crypto.subtle.sign("HMAC", keyObject, encoder.encode(data));
-}
-
-async function getSigningKey(
-  secretKey: string,
-  dateStamp: string,
-  region: string,
-  service: string,
-): Promise<ArrayBuffer> {
-  const encoder = new TextEncoder();
-  const kDate = await createHmac(encoder.encode("AWS4" + secretKey), dateStamp);
-  const kRegion = await createHmac(kDate, region);
-  const kService = await createHmac(kRegion, service);
-  const kSigning = await createHmac(kService, "aws4_request");
-  return kSigning;
-}
-
-function normalizeHeaderValue(value: string): string {
-  return value.replace(/\s+/g, " ").trim();
-}
-
-function encodeRFC3986(str: string): string {
-  return encodeURIComponent(str)
-    .replace(
-      /[!'()*]/g,
-      (c) => "%" + c.charCodeAt(0).toString(16).toUpperCase(),
-    )
-    .replace(/[-_.~]/g, (c) => c);
-}
-
-function getCanonicalUri(path: string): string {
-  if (!path || path === "/") return "/";
-
-  return (
-    "/" +
-    path
-      .split("/")
-      .map((segment) => {
-        if (!segment) return "";
-        if (segment === "invoke-with-response-stream") return segment;
-
-        if (segment.includes("model/")) {
-          return segment
-            .split(/(model\/)/)
-            .map((part) => {
-              if (part === "model/") return part;
-              return part
-                .split(/([.:])/g)
-                .map((subpart, i) =>
-                  i % 2 === 1 ? subpart : encodeRFC3986(subpart),
-                )
-                .join("");
-            })
-            .join("");
-        }
-
-        return encodeRFC3986(segment);
-      })
-      .join("/")
-  );
-}
-
-export async function sign({
-  method,
-  url,
-  region,
-  accessKeyId,
-  secretAccessKey,
-  body,
-  service,
-  headers: customHeaders = {},
-  isStreaming = true,
-}: SignParams): Promise<Record<string, string>> {
-  try {
-    const endpoint = new URL(url);
-    const canonicalUri = getCanonicalUri(endpoint.pathname.slice(1));
-    const canonicalQueryString = endpoint.search.slice(1);
-
-    const now = new Date();
-    const amzDate = now.toISOString().replace(/[:-]|\.\d{3}/g, "");
-    const dateStamp = amzDate.slice(0, 8);
-
-    const bodyString = typeof body === "string" ? body : JSON.stringify(body);
-    const encoder = new TextEncoder();
-    const payloadBuffer = await crypto.subtle.digest(
-      "SHA-256",
-      encoder.encode(bodyString),
-    );
-    const payloadHash = Array.from(new Uint8Array(payloadBuffer))
-      .map((b) => b.toString(16).padStart(2, "0"))
-      .join("");
-
-    const headers: Record<string, string> = {
-      accept: isStreaming
-        ? "application/vnd.amazon.eventstream"
-        : "application/json",
-      "content-type": "application/json",
-      host: endpoint.host,
-      "x-amz-content-sha256": payloadHash,
-      "x-amz-date": amzDate,
-      ...customHeaders,
-    };
-
-    // Add x-amzn-bedrock-accept header for streaming requests
-    if (isStreaming) {
-      headers["x-amzn-bedrock-accept"] = "*/*";
-    }
-
-    const sortedHeaderKeys = Object.keys(headers).sort((a, b) =>
-      a.toLowerCase().localeCompare(b.toLowerCase()),
-    );
-
-    const canonicalHeaders = sortedHeaderKeys
-      .map(
-        (key) => `${key.toLowerCase()}:${normalizeHeaderValue(headers[key])}\n`,
-      )
-      .join("");
-
-    const signedHeaders = sortedHeaderKeys
-      .map((key) => key.toLowerCase())
-      .join(";");
-
-    const canonicalRequest = [
-      method.toUpperCase(),
-      canonicalUri,
-      canonicalQueryString,
-      canonicalHeaders,
-      signedHeaders,
-      payloadHash,
-    ].join("\n");
-
-    const algorithm = "AWS4-HMAC-SHA256";
-    const credentialScope = `${dateStamp}/${region}/${service}/aws4_request`;
-
-    const canonicalRequestHash = Array.from(
-      new Uint8Array(
-        await crypto.subtle.digest("SHA-256", encoder.encode(canonicalRequest)),
-      ),
-    )
-      .map((b) => b.toString(16).padStart(2, "0"))
-      .join("");
-
-    const stringToSign = [
-      algorithm,
-      amzDate,
-      credentialScope,
-      canonicalRequestHash,
-    ].join("\n");
-
-    const signingKey = await getSigningKey(
-      secretAccessKey,
-      dateStamp,
-      region,
-      service,
-    );
-
-    const signature = Array.from(
-      new Uint8Array(await createHmac(signingKey, stringToSign)),
-    )
-      .map((b) => b.toString(16).padStart(2, "0"))
-      .join("");
-
-    const authorization = [
-      `${algorithm} Credential=${accessKeyId}/${credentialScope}`,
-      `SignedHeaders=${signedHeaders}`,
-      `Signature=${signature}`,
-    ].join(", ");
-
-    return {
-      ...headers,
-      Authorization: authorization,
-    };
-  } catch (error) {
-    console.error("[AWS Signing Error]: Failed to sign request");
-    throw new Error("Failed to sign AWS request");
-  }
-}
-
-// Bedrock utilities
-function decodeBase64(base64String: string): string {
-  try {
-    const bytes = Buffer.from(base64String, "base64");
-    const decoder = new TextDecoder("utf-8");
-    return decoder.decode(bytes);
-  } catch (e) {
-    console.error("[Base64 Decode Error]:", e);
-    return "";
-  }
-}
-
-export function parseEventData(chunk: Uint8Array): EventResult {
-  const decoder = new TextDecoder("utf-8");
-  const text = decoder.decode(chunk);
-  const results: EventResult = [];
-
-  try {
-    // First try to parse as regular JSON
-    const parsed = JSON.parse(text);
-    if (parsed.bytes) {
-      const decoded = decodeBase64(parsed.bytes);
-      try {
-        const decodedJson = JSON.parse(decoded);
-        results.push(decodedJson);
-      } catch (e) {
-        results.push({ output: decoded });
-      }
-      return results;
-    }
-
-    if (typeof parsed.body === "string") {
-      try {
-        const parsedBody = JSON.parse(parsed.body);
-        results.push(parsedBody);
-      } catch (e) {
-        results.push({ output: parsed.body });
-      }
-      return results;
-    }
-
-    results.push(parsed.body || parsed);
-    return results;
-  } catch (e) {
-    // If regular JSON parse fails, try to extract event content
-    const eventRegex = /:event-type[^\{]+(\{[^\}]+\})/g;
-    let match;
-
-    while ((match = eventRegex.exec(text)) !== null) {
-      try {
-        const eventData = match[1];
-        const parsed = JSON.parse(eventData);
-
-        if (parsed.bytes) {
-          const decoded = decodeBase64(parsed.bytes);
-          try {
-            const decodedJson = JSON.parse(decoded);
-            if (decodedJson.choices?.[0]?.message?.content) {
-              results.push({ output: decodedJson.choices[0].message.content });
-            } else {
-              results.push(decodedJson);
-            }
-          } catch (e) {
-            results.push({ output: decoded });
-          }
-        } else {
-          results.push(parsed);
-        }
-      } catch (e) {
-        console.debug("[Event Parse Warning]:", e);
-      }
-    }
-
-    // If no events were found, try to extract clean text
-    if (results.length === 0) {
-      // Remove event metadata markers and clean the text
-      const cleanText = text
-        .replace(/\{KG[^:]+:event-type[^}]+\}/g, "") // Remove event markers
-        .replace(/[\x00-\x1F\x7F-\x9F\uFEFF]/g, "") // Remove control characters
-        .trim();
-
-      if (cleanText) {
-        results.push({ output: cleanText });
-      }
-    }
-  }
-
-  return results;
-}
-
-export function processMessage(
-  data: ParsedEvent,
-  remainText: string,
-  runTools: any[],
-  index: number,
-): { remainText: string; index: number } {
-  if (!data) return { remainText, index };
-
-  try {
-    // Handle Nova's tool calls with exact schema match
-    // console.log("processMessage data=========================",data);
-    if (data.contentBlockStart?.start?.toolUse) {
-      const toolUse = data.contentBlockStart.start.toolUse;
-      index += 1;
-      runTools.push({
-        id: toolUse.toolUseId,
-        type: "function",
-        function: {
-          name: toolUse.name || "", // Ensure name is always present
-          arguments: "{}", // Initialize empty arguments
-        },
-      });
-      return { remainText, index };
-    }
-
-    // Handle Nova's tool input in contentBlockDelta
-    if (data.contentBlockDelta?.delta?.toolUse?.input) {
-      if (runTools[index]) {
-        runTools[index].function.arguments =
-          data.contentBlockDelta.delta.toolUse.input;
-      }
-      return { remainText, index };
-    }
-
-    // Handle Nova's text content
-    if (data.output?.message?.content?.[0]?.text) {
-      remainText += data.output.message.content[0].text;
-      return { remainText, index };
-    }
-
-    // Handle Nova's messageStart event
-    if (data.messageStart) {
-      return { remainText, index };
-    }
-
-    // Handle Nova's text delta
-    if (data.contentBlockDelta?.delta?.text) {
-      remainText += data.contentBlockDelta.delta.text;
-      return { remainText, index };
-    }
-
-    // Handle Nova's contentBlockStop event
-    if (data.contentBlockStop) {
-      return { remainText, index };
-    }
-
-    // Handle Nova's messageStop event
-    if (data.messageStop) {
-      return { remainText, index };
-    }
-
-    // Handle message_start event (for other models)
-    if (data.type === "message_start") {
-      return { remainText, index };
-    }
-
-    // Handle content_block_start event (for other models)
-    if (data.type === "content_block_start") {
-      if (data.content_block?.type === "tool_use") {
-        index += 1;
-        runTools.push({
-          id: data.content_block.id,
-          type: "function",
-          function: {
-            name: data.content_block.name || "", // Ensure name is always present
-            arguments: "",
-          },
-        });
-      }
-      return { remainText, index };
-    }
-
-    // Handle content_block_delta event (for other models)
-    if (data.type === "content_block_delta") {
-      if (data.delta?.type === "input_json_delta" && runTools[index]) {
-        runTools[index].function.arguments += data.delta.partial_json;
-      } else if (data.delta?.type === "text_delta") {
-        const newText = data.delta.text || "";
-        remainText += newText;
-      }
-      return { remainText, index };
-    }
-
-    // Handle tool calls for other models
-    if (data.choices?.[0]?.message?.tool_calls) {
-      for (const toolCall of data.choices[0].message.tool_calls) {
-        index += 1;
-        runTools.push({
-          id: toolCall.id || `tool-${Date.now()}`,
-          type: "function",
-          function: {
-            name: toolCall.function?.name || "", // Ensure name is always present
-            arguments: toolCall.function?.arguments || "",
-          },
-        });
-      }
-      return { remainText, index };
-    }
-
-    // Handle various response formats
-    let newText = "";
-    if (data.delta?.text) {
-      newText = data.delta.text;
-    } else if (data.choices?.[0]?.message?.content) {
-      newText = data.choices[0].message.content;
-    } else if (data.content?.[0]?.text) {
-      newText = data.content[0].text;
-    } else if (data.generation) {
-      newText = data.generation;
-    } else if (data.outputText) {
-      newText = data.outputText;
-    } else if (data.response) {
-      newText = data.response;
-    } else if (data.output) {
-      newText = data.output;
-    }
-
-    // Only append if we have new text
-    if (newText) {
-      remainText += newText;
-    }
-  } catch (e) {
-    console.warn("Failed to process Bedrock message:");
-  }
-
-  return { remainText, index };
-}
-
-export function processChunks(
-  chunks: Uint8Array[],
-  pendingChunk: Uint8Array | null,
-  remainText: string,
-  runTools: any[],
-  index: number,
-): {
-  chunks: Uint8Array[];
-  pendingChunk: Uint8Array | null;
-  remainText: string;
-  index: number;
-} {
-  let currentText = remainText;
-  let currentIndex = index;
-
-  while (chunks.length > 0) {
-    const chunk = chunks[0];
-    try {
-      // If there's a pending chunk, try to merge it with the current chunk
-      let chunkToProcess = chunk;
-      if (pendingChunk) {
-        const mergedChunk = new Uint8Array(pendingChunk.length + chunk.length);
-        mergedChunk.set(pendingChunk);
-        mergedChunk.set(chunk, pendingChunk.length);
-        chunkToProcess = mergedChunk;
-        pendingChunk = null;
-      }
-
-      // Try to process the chunk
-      const parsedEvents = parseEventData(chunkToProcess);
-      if (parsedEvents.length > 0) {
-        // Process each event in the chunk
-        for (const parsed of parsedEvents) {
-          const result = processMessage(
-            parsed,
-            currentText,
-            runTools,
-            currentIndex,
-          );
-          currentText = result.remainText;
-          currentIndex = result.index;
-        }
-        chunks.shift(); // Remove processed chunk
-      } else {
-        // If parsing fails, it might be an incomplete chunk
-        pendingChunk = chunkToProcess;
-        chunks.shift();
-      }
-    } catch (e) {
-      // console.error("[Chunk Process Error]:", e);
-      // chunks.shift(); // Remove error chunk
-      // pendingChunk = null; // Reset pending chunk on error
-      console.warn("Failed to process chunk, attempting recovery");
-      // Attempt to recover by processing the next chunk
-      if (chunks.length > 1) {
-        chunks.shift();
-        pendingChunk = null;
-      } else {
-        // If this is the last chunk, throw to prevent data loss
-        throw new Error("Failed to process final chunk");
-      }
-    }
-  }
-
-  return {
-    chunks,
-    pendingChunk,
-    remainText: currentText,
-    index: currentIndex,
-  };
-}
-
-export function getBedrockEndpoint(
-  region: string,
-  modelId: string,
-  shouldStream: boolean,
-): string {
-  if (!region || !modelId) {
-    throw new Error("Region and model ID are required for Bedrock endpoint");
-  }
-  const baseEndpoint = `https://bedrock-runtime.${region}.amazonaws.com`;
-  const endpoint =
-    shouldStream === false
-      ? `${baseEndpoint}/model/${modelId}/invoke`
-      : `${baseEndpoint}/model/${modelId}/invoke-with-response-stream`;
-  return endpoint;
-}
-
-export function extractMessage(res: any, modelId: string = ""): string {
-  if (!res) {
-    throw new Error("Empty response received");
-  }
-
-  let message = "";
-
-  // Handle Nova model response format
-  if (modelId.toLowerCase().includes("nova")) {
-    if (res.output?.message?.content?.[0]?.text) {
-      message = res.output.message.content[0].text;
-    } else {
-      message = res.output || "";
-    }
-  }
-  // Handle Mistral model response format
-  else if (modelId.toLowerCase().includes("mistral")) {
-    if (res.choices?.[0]?.message?.content) {
-      message = res.choices[0].message.content;
-    } else {
-      message = res.output || "";
-    }
-  }
-  // Handle Llama model response format
-  else if (modelId.toLowerCase().includes("llama")) {
-    message = res?.generation || "";
-  }
-  // Handle Titan model response format
-  else if (modelId.toLowerCase().includes("titan")) {
-    message = res?.outputText || "";
-  }
-  // Handle Claude and other models
-  else if (res.content?.[0]?.text) {
-    message = res.content[0].text;
-  }
-  // Handle other response formats
-  else {
-    message = res.output || res.response || res.message || "";
-  }
-
-  return message;
-}
--- a/app/utils/chat.ts
+++ b/app/utils/chat.ts
@@ -3,7 +3,7 @@ import {
  UPLOAD_URL,
  REQUEST_TIMEOUT_MS,
 } from "@/app/constant";
-import { RequestMessage } from "@/app/client/api";
+import { MultimodalContent, RequestMessage } from "@/app/client/api";
 import Locale from "@/app/locales";
 import {
  EventStreamContentType,
@@ -70,8 +70,9 @@ export function compressImage(file: Blob, maxSize: number): Promise<string> {
  });
 }

-export async function preProcessImageContent(
+export async function preProcessImageContentBase(
  content: RequestMessage["content"],
+  transformImageUrl: (url: string) => Promise<{ [key: string]: any }>,
 ) {
  if (typeof content === "string") {
    return content;
@@ -81,7 +82,7 @@ export async function preProcessImageContent(
    if (part?.type == "image_url" && part?.image_url?.url) {
      try {
        const url = await cacheImageToBase64Image(part?.image_url?.url);
-        result.push({ type: part.type, image_url: { url } });
+        result.push(await transformImageUrl(url));
      } catch (error) {
        console.error("Error processing image URL:", error);
      }
@@ -92,6 +93,23 @@ export async function preProcessImageContent(
  return result;
 }

+export async function preProcessImageContent(
+  content: RequestMessage["content"],
+) {
+  return preProcessImageContentBase(content, async (url) => ({
+    type: "image_url",
+    image_url: { url },
+  })) as Promise<MultimodalContent[] | string>;
+}
+
+export async function preProcessImageContentForAlibabaDashScope(
+  content: RequestMessage["content"],
+) {
+  return preProcessImageContentBase(content, async (url) => ({
+    image: url,
+  }));
+}
+
 const imageCaches: Record<string, string> = {};
 export function cacheImageToBase64Image(imageUrl: string) {
  if (imageUrl.includes(CACHE_URL_PREFIX)) {
--- a/docs/bedrock-response-format.md
+++ b/docs/bedrock-response-format.md
@@ -1,258 +0,0 @@
-# Understanding Bedrock Response Format
-
-The AWS Bedrock streaming response format consists of multiple Server-Sent Events (SSE) chunks. Each chunk follows this structure:
-
-```
-:event-type chunk
-:content-type application/json
-:message-type event
-{"bytes":"base64_encoded_data","p":"signature"}
-```
-
-## Model-Specific Response Formats
-
-### Claude 3 Format
-
-When using Claude 3 models (e.g., claude-3-haiku-20240307), the decoded messages include:
-
-1. **message_start**
-```json
-{
-  "type": "message_start",
-  "message": {
-    "id": "msg_bdrk_01A6sahWac4XVTR9sX3rgvsZ",
-    "type": "message",
-    "role": "assistant",
-    "model": "claude-3-haiku-20240307",
-    "content": [],
-    "stop_reason": null,
-    "stop_sequence": null,
-    "usage": {
-      "input_tokens": 8,
-      "output_tokens": 1
-    }
-  }
-}
-```
-
-2. **content_block_start**
-```json
-{
-  "type": "content_block_start",
-  "index": 0,
-  "content_block": {
-    "type": "text",
-    "text": ""
-  }
-}
-```
-
-3. **content_block_delta**
-```json
-{
-  "type": "content_block_delta",
-  "index": 0,
-  "delta": {
-    "type": "text_delta",
-    "text": "Hello"
-  }
-}
-```
-
-### Mistral Format
-
-When using Mistral models (e.g., mistral-large-2407), the decoded messages have a different structure:
-
-```json
-{
-  "id": "b0098812-0ad9-42da-9f17-a5e2f554eb6b",
-  "object": "chat.completion.chunk",
-  "created": 1732582566,
-  "model": "mistral-large-2407",
-  "choices": [{
-    "index": 0,
-    "logprobs": null,
-    "context_logits": null,
-    "generation_logits": null,
-    "message": {
-      "role": null,
-      "content": "Hello",
-      "tool_calls": null,
-      "index": null,
-      "tool_call_id": null
-    },
-    "stop_reason": null
-  }],
-  "usage": null,
-  "p": null
-}
-```
-
-### Llama Format
-
-When using Llama models (3.1 or 3.2), the decoded messages use a simpler structure focused on generation tokens:
-
-```json
-{
-  "generation": "Hello",
-  "prompt_token_count": null,
-  "generation_token_count": 2,
-  "stop_reason": null
-}
-```
-
-Each chunk contains:
- generation: The generated text piece
- prompt_token_count: Token count of the input (only present in first chunk)
- generation_token_count: Running count of generated tokens
- stop_reason: Indicates completion (null until final chunk)
-
-First chunk example (includes prompt_token_count):
-```json
-{
-  "generation": "\n\n",
-  "prompt_token_count": 10,
-  "generation_token_count": 1,
-  "stop_reason": null
-}
-```
-
-### Titan Text Format
-
-When using Amazon's Titan models (text or TG1), the response comes as a single chunk with complete text and metrics:
-
-```json
-{
-  "outputText": "\nBot: Hello! How can I help you today?",
-  "index": 0,
-  "totalOutputTextTokenCount": 13,
-  "completionReason": "FINISH",
-  "inputTextTokenCount": 3,
-  "amazon-bedrock-invocationMetrics": {
-    "inputTokenCount": 3,
-    "outputTokenCount": 13,
-    "invocationLatency": 833,
-    "firstByteLatency": 833
-  }
-}
-```
-
-Both Titan text and Titan TG1 use the same response format, with only minor differences in token counts and latency values. For example, here's a TG1 response:
-
-```json
-{
-  "outputText": "\nBot: Hello! How can I help you?",
-  "index": 0,
-  "totalOutputTextTokenCount": 12,
-  "completionReason": "FINISH",
-  "inputTextTokenCount": 3,
-  "amazon-bedrock-invocationMetrics": {
-    "inputTokenCount": 3,
-    "outputTokenCount": 12,
-    "invocationLatency": 845,
-    "firstByteLatency": 845
-  }
-}
-```
-
-Key fields:
- outputText: The complete generated response
- totalOutputTextTokenCount: Total tokens in the response
- completionReason: Reason for completion (e.g., "FINISH")
- inputTextTokenCount: Number of input tokens
- amazon-bedrock-invocationMetrics: Detailed performance metrics
-
-## Model-Specific Completion Metrics
-
-### Mistral
-```json
-{
-  "usage": {
-    "prompt_tokens": 5,
-    "total_tokens": 29,
-    "completion_tokens": 24
-  },
-  "amazon-bedrock-invocationMetrics": {
-    "inputTokenCount": 5,
-    "outputTokenCount": 24,
-    "invocationLatency": 719,
-    "firstByteLatency": 148
-  }
-}
-```
-
-### Claude 3
-Included in the message_delta with stop_reason.
-
-### Llama
-Included in the final chunk with stop_reason "stop":
-```json
-{
-  "amazon-bedrock-invocationMetrics": {
-    "inputTokenCount": 10,
-    "outputTokenCount": 11,
-    "invocationLatency": 873,
-    "firstByteLatency": 550
-  }
-}
-```
-
-### Titan
-Both Titan text and TG1 include metrics in the single response chunk:
-```json
-{
-  "amazon-bedrock-invocationMetrics": {
-    "inputTokenCount": 3,
-    "outputTokenCount": 12,
-    "invocationLatency": 845,
-    "firstByteLatency": 845
-  }
-}
-```
-
-## How the Response is Processed
-
-1. The raw response is first split into chunks based on SSE format
-2. For each chunk:
-   - The base64 encoded data is decoded
-   - The JSON is parsed to extract the message content
-   - Based on the model type and message type, different processing is applied:
-
-### Claude 3 Processing
- message_start: Initializes a new message with model info and usage stats
- content_block_start: Starts a new content block (text, tool use, etc.)
- content_block_delta: Adds incremental content to the current block
- message_delta: Updates message metadata
-
-### Mistral Processing
- Each chunk contains a complete message object with choices array
- The content is streamed through the message.content field
- Final chunk includes token usage and invocation metrics
-
-### Llama Processing
- Each chunk contains a generation field with the text piece
- First chunk includes prompt_token_count
- Tracks generation progress through generation_token_count
- Simple streaming format focused on text generation
- Final chunk includes complete metrics
-
-### Titan Processing
- Single chunk response with complete text
- No streaming - returns full response at once
- Includes comprehensive metrics in the same chunk
-
-## Handling in Code
-
-The response is processed by the `transformBedrockStream` function in `app/utils/aws.ts`, which:
-
-1. Reads the stream chunks
-2. Parses each chunk using `parseEventData`
-3. Handles model-specific formats:
-   - For Claude: Processes message_start, content_block_start, content_block_delta
-   - For Mistral: Extracts content from choices[0].message.content
-   - For Llama: Uses the generation field directly
-   - For Titan: Uses the outputText field from the single response
-4. Transforms the parsed data into a consistent format for the client
-5. Yields the transformed data as SSE events
-
-This allows for real-time streaming of the model's response while maintaining a consistent format for the client application, regardless of which model is being used.
--- a/jest.config.ts
+++ b/jest.config.ts
@@ -15,6 +15,8 @@ const config: Config = {
  moduleNameMapper: {
    "^@/(.*)$": "<rootDir>/$1",
  },
+  extensionsToTreatAsEsm: [".ts", ".tsx"],
+  injectGlobals: true,
 };

 // createJestConfig is exported this way to ensure that next/jest can load the Next.js config which is async
--- a/jest.setup.ts
+++ b/jest.setup.ts
@@ -1,24 +1,22 @@
 // Learn more: https://github.com/testing-library/jest-dom
 import "@testing-library/jest-dom";
+import { jest } from "@jest/globals";

 global.fetch = jest.fn(() =>
  Promise.resolve({
    ok: true,
    status: 200,
-    json: () => Promise.resolve({}),
+    json: () => Promise.resolve([]),
    headers: new Headers(),
    redirected: false,
    statusText: "OK",
    type: "basic",
    url: "",
-    clone: function () {
-      return this;
-    },
    body: null,
    bodyUsed: false,
    arrayBuffer: () => Promise.resolve(new ArrayBuffer(0)),
    blob: () => Promise.resolve(new Blob()),
    formData: () => Promise.resolve(new FormData()),
    text: () => Promise.resolve(""),
-  }),
+  } as Response),
 );
--- a/package.json
+++ b/package.json
@@ -17,8 +17,8 @@
    "prompts": "node ./scripts/fetch-prompts.mjs",
    "prepare": "husky install",
    "proxy-dev": "sh ./scripts/init-proxy.sh && proxychains -f ./scripts/proxychains.conf yarn dev",
-    "test": "jest --watch",
-    "test:ci": "jest --ci"
+    "test": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --watch",
+    "test:ci": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --ci"
  },
  "dependencies": {
    "@fortaine/fetch-event-source": "^3.0.6",
@@ -94,4 +94,4 @@
    "lint-staged/yaml": "^2.2.2"
  },
  "packageManager": "yarn@1.22.19"
-}
+}
--- a/test/vision-model-checker.test.ts
+++ b/test/vision-model-checker.test.ts
@@ -1,3 +1,4 @@
+import { jest } from "@jest/globals";
 import { isVisionModel } from "../app/utils";

 describe("isVisionModel", () => {
@@ -50,7 +51,7 @@ describe("isVisionModel", () => {

  test("should identify models from VISION_MODELS env var", () => {
    process.env.VISION_MODELS = "custom-vision-model,another-vision-model";
-    
+
    expect(isVisionModel("custom-vision-model")).toBe(true);
    expect(isVisionModel("another-vision-model")).toBe(true);
    expect(isVisionModel("unrelated-model")).toBe(false);
@@ -64,4 +65,4 @@ describe("isVisionModel", () => {
    expect(isVisionModel("unrelated-model")).toBe(false);
    expect(isVisionModel("gpt-4-vision")).toBe(true);
  });
-});
+});
--- a/yarn.lock
+++ b/yarn.lock
Author	SHA1	Message	Date
RiverRay	c9ef6d58ed	Update README.md	2025-04-19 15:50:17 +08:00
RiverRay	11b37c15bd	Merge pull request #6450 from stephen-zeng/main Some checks failed Run Tests / test (push) Has been cancelled Details Add gpt-4.1 family & gpt-4.5-preview support	2025-04-17 08:29:19 +08:00
QwQwQ	1d0038f17d	add gpt-4.5-preview support	2025-04-16 22:10:47 +08:00
QwQwQ	619fa519c0	add gpt-4.1 family support	2025-04-16 22:02:35 +08:00
RiverRay	48469bd8ca	Merge pull request #6392 from ChatGPTNextWeb/Leizhenpeng-patch-6 Some checks failed Run Tests / test (push) Has been cancelled Details Update README.md	2025-03-20 17:52:02 +08:00
RiverRay	5a5e887f2b	Update README.md	2025-03-20 17:51:47 +08:00
RiverRay	b6f5d75656	Merge pull request #6344 from vangie/fix/jest-setup-esm Some checks failed Run Tests / test (push) Has been cancelled Details test: fix unit test failures	2025-03-14 20:04:56 +08:00
Vangie Du	0d41a17ef6	test: fix unit test failures	2025-03-07 14:49:17 +08:00
RiverRay	f7cde17919	Merge pull request #6292 from Little-LittleProgrammer/feature/alibaba-omni-support Some checks failed Run Tests / test (push) Has been cancelled Details feat(alibaba): Added alibaba vision model and omni model support	2025-03-01 10:25:16 +08:00
RiverRay	570cbb34b6	Merge pull request #6310 from agi-dude/patch-1 Remove duplicate links	2025-03-01 10:24:38 +08:00
RiverRay	7aa9ae0a3e	Merge pull request #6311 from ChatGPTNextWeb/6305-bugthe-first-message-except-the-system-message-of-deepseek-reasoner-must-be-a-user-message-but-an-assistant-message-detected Some checks are pending Run Tests / test (push) Waiting to run Details fix: enforce that the first message (excluding system messages) is a …	2025-02-28 19:48:09 +08:00
Kadxy	2d4180f5be	fix: update request payload to use filtered messages in Deepseek API	2025-02-28 13:59:30 +08:00
Kadxy	9f0182b55e	fix: enforce that the first message (excluding system messages) is a user message in the Deepseek API	2025-02-28 13:54:58 +08:00
Mr. AGI	ad6666eeaf	Update README.md	2025-02-28 10:47:52 +05:00
EvanWu	a2c4e468a0	fix(app/utils/chat.ts): fix type error	2025-02-26 19:58:32 +08:00
RiverRay	2167076652	Merge pull request #6293 from hyiip/main Some checks failed Run Tests / test (push) Has been cancelled Details claude 3.7 support	2025-02-26 18:41:28 +08:00
RiverRay	e123076250	Merge pull request #6295 from rexkyng/patch-1 Fix: Improve Mistral icon detection and remove redundant code.	2025-02-26 18:39:59 +08:00
Rex Ng	ebcb4db245	Fix: Improve Mistral icon detection and remove redundant code. - Added "codestral" to the list of acceptable names for the Mistral icon, ensuring proper detection. - Removed duplicate `toLowerCase()` calls.	2025-02-25 14:30:18 +08:00
EvanWu	0a25a1a8cb	refacto(app/utils/chat.ts)r: optimize function preProcessImageContentBase	2025-02-25 09:22:47 +08:00
hyiip	f3154b20a5	claude 3.7 support	2025-02-25 03:55:24 +08:00
EvanWu	b709ee3983	feat(alibaba): Added alibaba vision model and omni model support	2025-02-24 20:18:07 +08:00