Merge branch 'main' of https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web into ali_bytedance_reasoning_content

app/client/platforms/siliconflow.ts

@@ -1,6 +1,11 @@
 "use client";
 // azure and openai, using same models. so using same LLMApi.
-import { ApiPath, SILICONFLOW_BASE_URL, SiliconFlow } from "@/app/constant";
+import {
+  ApiPath,
+  SILICONFLOW_BASE_URL,
+  SiliconFlow,
+  DEFAULT_MODELS,
+} from "@/app/constant";
 import {
   useAccessStore,
   useAppConfig,
@@ -8,7 +13,7 @@ import {
   ChatMessageTool,
   usePluginStore,
 } from "@/app/store";
-import { streamWithThink } from "@/app/utils/chat";
+import { preProcessImageContent, streamWithThink } from "@/app/utils/chat";
 import {
   ChatOptions,
   getHeaders,
@@ -20,13 +25,23 @@ import { getClientConfig } from "@/app/config/client";
 import {
   getMessageTextContent,
   getMessageTextContentWithoutThinking,
+  isVisionModel,
   getTimeoutMSByModel,
 } from "@/app/utils";
 import { RequestPayload } from "./openai";
+
 import { fetch } from "@/app/utils/stream";
+export interface SiliconFlowListModelResponse {
+  object: string;
+  data: Array<{
+    id: string;
+    object: string;
+    root: string;
+  }>;
+}
 
 export class SiliconflowApi implements LLMApi {
-  private disableListModels = true;
+  private disableListModels = false;
 
   path(path: string): string {
     const accessStore = useAccessStore.getState();
@@ -67,13 +82,16 @@ export class SiliconflowApi implements LLMApi {
   }
 
   async chat(options: ChatOptions) {
+    const visionModel = isVisionModel(options.config.model);
     const messages: ChatOptions["messages"] = [];
     for (const v of options.messages) {
       if (v.role === "assistant") {
         const content = getMessageTextContentWithoutThinking(v);
         messages.push({ role: v.role, content });
       } else {
-        const content = getMessageTextContent(v);
+        const content = visionModel
+          ? await preProcessImageContent(v.content)
+          : getMessageTextContent(v);
         messages.push({ role: v.role, content });
       }
     }
@@ -234,6 +252,36 @@ export class SiliconflowApi implements LLMApi {
   }
 
   async models(): Promise<LLMModel[]> {
-    return [];
+    if (this.disableListModels) {
+      return DEFAULT_MODELS.slice();
+    }
+
+    const res = await fetch(this.path(SiliconFlow.ListModelPath), {
+      method: "GET",
+      headers: {
+        ...getHeaders(),
+      },
+    });
+
+    const resJson = (await res.json()) as SiliconFlowListModelResponse;
+    const chatModels = resJson.data;
+    console.log("[Models]", chatModels);
+
+    if (!chatModels) {
+      return [];
+    }
+
+    let seq = 1000; //同 Constant.ts 中的排序保持一致
+    return chatModels.map((m) => ({
+      name: m.id,
+      available: true,
+      sorted: seq++,
+      provider: {
+        id: "siliconflow",
+        providerName: "SiliconFlow",
+        providerType: "siliconflow",
+        sorted: 14,
+      },
+    }));
   }
 }