Merge remote-tracking branch 'upstream/main' into dev

# Conflicts:
#	app/locales/ar.ts
#	app/locales/bn.ts
#	app/locales/cs.ts
#	app/locales/de.ts
#	app/locales/es.ts
#	app/locales/fr.ts
#	app/locales/id.ts
#	app/locales/it.ts
#	app/locales/jp.ts
#	app/locales/ko.ts
#	app/locales/no.ts
#	app/locales/pt.ts
#	app/locales/ru.ts
#	app/locales/sk.ts
#	app/locales/tr.ts
#	app/locales/vi.ts
#	app/store/chat.ts
#	app/store/config.ts

app/client/platforms/openai.ts

@@ -161,6 +161,7 @@ export class ChatGPTApi implements LLMApi {
     let requestPayload: RequestPayload | DalleRequestPayload;
 
     const isDalle3 = _isDalle3(options.config.model);
+    const isO1 = options.config.model.startsWith("o1");
     if (isDalle3) {
       const prompt = getMessageTextContent(
         options.messages.slice(-1)?.pop() as any,
@@ -182,30 +183,32 @@ export class ChatGPTApi implements LLMApi {
         const content = visionModel
           ? await preProcessImageContent(v.content)
           : getMessageTextContent(v);
-        messages.push({ role: v.role, content });
+        if (!(isO1 && v.role === "system"))
+          messages.push({ role: v.role, content });
       }
 
+      // O1 not support image, tools (plugin in ChatGPTNextWeb) and system, stream, logprobs, temperature, top_p, n, presence_penalty, frequency_penalty yet.
       requestPayload = {
         messages,
-        stream: options.config.stream,
+        stream: !isO1 ? options.config.stream : false,
         model: modelConfig.model,
-        temperature: modelConfig.temperature,
-        presence_penalty: modelConfig.presence_penalty,
-        frequency_penalty: modelConfig.frequency_penalty,
-        top_p: modelConfig.top_p,
+        temperature: !isO1 ? modelConfig.temperature : 1,
+        presence_penalty: !isO1 ? modelConfig.presence_penalty : 0,
+        frequency_penalty: !isO1 ? modelConfig.frequency_penalty : 0,
+        top_p: !isO1 ? modelConfig.top_p : 1,
         // max_tokens: Math.max(modelConfig.max_tokens, 1024),
         // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
       };
 
       // add max_tokens to vision model
-      if (visionModel && modelConfig.model.includes("preview")) {
+      if (visionModel) {
         requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
       }
     }
 
     console.log("[Request] openai payload: ", requestPayload);
 
-    const shouldStream = !isDalle3 && !!options.config.stream;
+    const shouldStream = !isDalle3 && !!options.config.stream && !isO1;
     const controller = new AbortController();
     options.onController?.(controller);
 
@@ -326,7 +329,7 @@ export class ChatGPTApi implements LLMApi {
         // make a fetch request
         const requestTimeoutId = setTimeout(
           () => controller.abort(),
-          isDalle3 ? REQUEST_TIMEOUT_MS * 2 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
+          isDalle3 || isO1 ? REQUEST_TIMEOUT_MS * 2 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
         );
 
         const res = await fetch(chatPath, chatPayload);