feat: web search

app/client/platforms/alibaba.ts

@@ -25,7 +25,10 @@ import {
 } from "@fortaine/fetch-event-source";
 import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+} from "@/app/utils";
 import { fetch } from "@/app/utils/stream";
 
 export interface OpenAIListModelResponse {
@@ -104,7 +107,7 @@ export class QwenApi implements LLMApi {
   async chat(options: ChatOptions) {
     const messages = options.messages.map((v) => ({
       role: v.role,
-      content: getMessageTextContent(v),
+      content: getWebReferenceMessageTextContent(v),
     }));
 
     const modelConfig = {

app/client/platforms/anthropic.ts

@@ -22,7 +22,11 @@ import {
 } from "@/app/store";
 import { getClientConfig } from "@/app/config/client";
 import { ANTHROPIC_BASE_URL } from "@/app/constant";
-import { getMessageTextContent, isVisionModel } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+  isVisionModel,
+} from "@/app/utils";
 import { preProcessImageContent, stream } from "@/app/utils/chat";
 import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
 import { RequestPayload } from "./openai";
@@ -318,7 +322,7 @@ export class ClaudeApi implements LLMApi {
         if (!visionModel || typeof content === "string") {
           return {
             role: insideRole,
-            content: getMessageTextContent(v),
+            content: getWebReferenceMessageTextContent(v),
           };
         }
         return {

app/client/platforms/baidu.ts

@@ -26,7 +26,10 @@ import {
 } from "@fortaine/fetch-event-source";
 import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+} from "@/app/utils";
 import { fetch } from "@/app/utils/stream";
 
 export interface OpenAIListModelResponse {
@@ -97,7 +100,7 @@ export class ErnieApi implements LLMApi {
     const messages = options.messages.map((v) => ({
       // "error_code": 336006, "error_msg": "the role of message with even index in the messages must be user or function",
       role: v.role === "system" ? "user" : v.role,
-      content: getMessageTextContent(v),
+      content: getWebReferenceMessageTextContent(v),
     }));
 
     // "error_code": 336006, "error_msg": "the length of messages must be an odd number",

app/client/platforms/bytedance.ts

@@ -25,7 +25,10 @@ import {
 } from "@fortaine/fetch-event-source";
 import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+} from "@/app/utils";
 import { fetch } from "@/app/utils/stream";
 
 export interface OpenAIListModelResponse {
@@ -98,7 +101,7 @@ export class DoubaoApi implements LLMApi {
   async chat(options: ChatOptions) {
     const messages = options.messages.map((v) => ({
       role: v.role,
-      content: getMessageTextContent(v),
+      content: getWebReferenceMessageTextContent(v),
     }));
 
     const modelConfig = {

app/client/platforms/deepseek.ts

@@ -28,6 +28,7 @@ import { getClientConfig } from "@/app/config/client";
 import {
   getMessageTextContent,
   getMessageTextContentWithoutThinking,
+  getWebReferenceMessageTextContent,
 } from "@/app/utils";
 import { RequestPayload } from "./openai";
 import { fetch } from "@/app/utils/stream";
@@ -86,7 +87,7 @@ export class DeepSeekApi implements LLMApi {
         const content = getMessageTextContentWithoutThinking(v);
         messages.push({ role: v.role, content });
       } else {
-        const content = getMessageTextContent(v);
+        const content = getWebReferenceMessageTextContent(v);
         messages.push({ role: v.role, content });
       }
     }

app/client/platforms/glm.ts

@@ -24,7 +24,10 @@ import {
   TranscriptionOptions,
 } from "../api";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+} from "@/app/utils";
 import { RequestPayload } from "./openai";
 import { fetch } from "@/app/utils/stream";
 
@@ -78,7 +81,7 @@ export class ChatGLMApi implements LLMApi {
   async chat(options: ChatOptions) {
     const messages: ChatOptions["messages"] = [];
     for (const v of options.messages) {
-      const content = getMessageTextContent(v);
+      const content = getWebReferenceMessageTextContent(v);
       messages.push({ role: v.role, content });
     }
 

app/client/platforms/google.ts

@@ -25,6 +25,7 @@ import {
   getMessageTextContent,
   getMessageImages,
   isVisionModel,
+  getWebReferenceMessageTextContent,
 } from "@/app/utils";
 import { preProcessImageContent } from "@/app/utils/chat";
 import { nanoid } from "nanoid";
@@ -91,7 +92,7 @@ export class GeminiProApi implements LLMApi {
       _messages.push({ role: v.role, content });
     }
     const messages = _messages.map((v) => {
-      let parts: any[] = [{ text: getMessageTextContent(v) }];
+      let parts: any[] = [{ text: getWebReferenceMessageTextContent(v) }];
       if (isVisionModel(options.config.model)) {
         const images = getMessageImages(v);
         if (images.length > 0) {

app/client/platforms/iflytek.ts

@@ -24,7 +24,10 @@ import {
 } from "@fortaine/fetch-event-source";
 import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+} from "@/app/utils";
 import { fetch } from "@/app/utils/stream";
 
 import { RequestPayload } from "./openai";
@@ -79,7 +82,7 @@ export class SparkApi implements LLMApi {
   async chat(options: ChatOptions) {
     const messages: ChatOptions["messages"] = [];
     for (const v of options.messages) {
-      const content = getMessageTextContent(v);
+      const content = getWebReferenceMessageTextContent(v);
       messages.push({ role: v.role, content });
     }
 

app/client/platforms/moonshot.ts

@@ -25,7 +25,10 @@ import {
   TranscriptionOptions,
 } from "../api";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+} from "@/app/utils";
 import { RequestPayload } from "./openai";
 import { fetch } from "@/app/utils/stream";
 
@@ -79,7 +82,7 @@ export class MoonshotApi implements LLMApi {
   async chat(options: ChatOptions) {
     const messages: ChatOptions["messages"] = [];
     for (const v of options.messages) {
-      const content = getMessageTextContent(v);
+      const content = getWebReferenceMessageTextContent(v);
       messages.push({ role: v.role, content });
     }
 

app/client/platforms/openai.ts

@@ -44,6 +44,7 @@ import {
   getMessageTextContent,
   isVisionModel,
   isDalle3 as _isDalle3,
+  getWebReferenceMessageTextContent,
 } from "@/app/utils";
 
 export interface OpenAIListModelResponse {
@@ -239,7 +240,7 @@ export class ChatGPTApi implements LLMApi {
       for (const v of options.messages) {
         const content = visionModel
           ? await preProcessImageContent(v.content)
-          : getMessageTextContent(v);
+          : getWebReferenceMessageTextContent(v);
         if (!(isO1 && v.role === "system"))
           messages.push({ role: v.role, content });
       }

app/client/platforms/siliconflow.ts

@@ -28,6 +28,7 @@ import { getClientConfig } from "@/app/config/client";
 import {
   getMessageTextContent,
   getMessageTextContentWithoutThinking,
+  getWebReferenceMessageTextContent,
 } from "@/app/utils";
 import { RequestPayload } from "./openai";
 import { fetch } from "@/app/utils/stream";
@@ -89,7 +90,7 @@ export class SiliconflowApi implements LLMApi {
         const content = getMessageTextContentWithoutThinking(v);
         messages.push({ role: v.role, content });
       } else {
-        const content = getMessageTextContent(v);
+        const content = getWebReferenceMessageTextContent(v);
         messages.push({ role: v.role, content });
       }
     }

app/client/platforms/tencent.ts

@@ -20,7 +20,11 @@ import {
 } from "@fortaine/fetch-event-source";
 import { prettyObject } from "@/app/utils/format";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent, isVisionModel } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+  isVisionModel,
+} from "@/app/utils";
 import mapKeys from "lodash-es/mapKeys";
 import mapValues from "lodash-es/mapValues";
 import isArray from "lodash-es/isArray";
@@ -110,7 +114,7 @@ export class HunyuanApi implements LLMApi {
     const messages = options.messages.map((v, index) => ({
       // "Messages 中 system 角色必须位于列表的最开始"
       role: index !== 0 && v.role === "system" ? "user" : v.role,
-      content: visionModel ? v.content : getMessageTextContent(v),
+      content: visionModel ? v.content : getWebReferenceMessageTextContent(v),
     }));
 
     const modelConfig = {

app/client/platforms/utils.ts

@@ -1,3 +1,4 @@
+import { TavilySearchResponse } from "@tavily/core";
 import { ClientApi, getClientApi, getHeaders } from "../api";
 import { ChatSession } from "@/app/store";
 
@@ -45,3 +46,19 @@ export class FileApi {
     return fileInfo;
   }
 }
+
+export class WebApi {
+  async search(query: string): Promise<TavilySearchResponse> {
+    var headers = getHeaders(true);
+    const api = "/api/search";
+    var res = await fetch(api, {
+      method: "POST",
+      body: JSON.stringify({ query }),
+      headers: {
+        ...headers,
+      },
+    });
+    const resJson = await res.json();
+    return resJson;
+  }
+}

app/client/platforms/xai.ts

@@ -20,7 +20,10 @@ import {
   TranscriptionOptions,
 } from "../api";
 import { getClientConfig } from "@/app/config/client";
-import { getMessageTextContent } from "@/app/utils";
+import {
+  getMessageTextContent,
+  getWebReferenceMessageTextContent,
+} from "@/app/utils";
 import { RequestPayload } from "./openai";
 import { fetch } from "@/app/utils/stream";
 
@@ -74,7 +77,7 @@ export class XAIApi implements LLMApi {
   async chat(options: ChatOptions) {
     const messages: ChatOptions["messages"] = [];
     for (const v of options.messages) {
-      const content = getMessageTextContent(v);
+      const content = getWebReferenceMessageTextContent(v);
       messages.push({ role: v.role, content });
     }