feat: merge main

app/client/platforms/anthropic.ts

@@ -161,6 +161,13 @@ export class ClaudeApi implements LLMApi {
         };
       });
 
+    if (prompt[0]?.role === "assistant") {
+      prompt.unshift({
+        role: "user",
+        content: ";",
+      });
+    }
+
     const requestBody: AnthropicChatRequest = {
       messages: prompt,
       stream: shouldStream,

app/client/platforms/google.ts

@@ -21,11 +21,10 @@ export class GeminiProApi implements LLMApi {
   }
   async chat(options: ChatOptions): Promise<void> {
     // const apiClient = this;
-    const visionModel = isVisionModel(options.config.model);
     let multimodal = false;
     const messages = options.messages.map((v) => {
       let parts: any[] = [{ text: getMessageTextContent(v) }];
-      if (visionModel) {
+      if (isVisionModel(options.config.model)) {
         const images = getMessageImages(v);
         if (images.length > 0) {
           multimodal = true;
@@ -117,17 +116,14 @@ export class GeminiProApi implements LLMApi {
     const controller = new AbortController();
     options.onController?.(controller);
     try {
-      let googleChatPath = visionModel
-        ? Google.VisionChatPath(modelConfig.model)
-        : Google.ChatPath(modelConfig.model);
-      let chatPath = this.path(googleChatPath);
-
       // let baseUrl = accessStore.googleUrl;
 
       if (!baseUrl) {
         baseUrl = isApp
-          ? DEFAULT_API_HOST + "/api/proxy/google/" + googleChatPath
-          : chatPath;
+          ? DEFAULT_API_HOST +
+            "/api/proxy/google/" +
+            Google.ChatPath(modelConfig.model)
+          : this.path(Google.ChatPath(modelConfig.model));
       }
 
       if (isApp) {
@@ -145,6 +141,7 @@ export class GeminiProApi implements LLMApi {
         () => controller.abort(),
         REQUEST_TIMEOUT_MS,
       );
+
       if (shouldStream) {
         let responseText = "";
         let remainText = "";

app/client/platforms/openai.ts

@@ -129,7 +129,7 @@ export class ChatGPTApi implements LLMApi {
     };
 
     // add max_tokens to vision model
-    if (visionModel) {
+    if (visionModel && modelConfig.model.includes("preview")) {
       requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
     }