Merge c3b50a9c93 into c30ddfbb07

Fix: Encourage markdown inclusion in model responses for o1/o3

app/client/platforms/openai.ts

@@ -56,7 +56,7 @@ export interface OpenAIListModelResponse {
 
 export interface RequestPayload {
   messages: {
-    role: "system" | "user" | "assistant";
+    role: "developer" | "system" | "user" | "assistant";
     content: string | MultimodalContent[];
   }[];
   stream?: boolean;
@@ -238,8 +238,16 @@ export class ChatGPTApi implements LLMApi {
         // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
       };
 
-      // O1 使用 max_completion_tokens 控制token数 (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
       if (isO1OrO3) {
+        // by default the o1/o3 models will not attempt to produce output that includes markdown formatting
+        // manually add "Formatting re-enabled" developer message to encourage markdown inclusion in model responses
+        // (https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/reasoning?tabs=python-secure#markdown-output)
+        requestPayload["messages"].unshift({
+          role: "developer",
+          content: "Formatting re-enabled",
+        });
+
+        // o1/o3 uses max_completion_tokens to control the number of tokens (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
         requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
       }
 

app/components/tts-config.tsx

@@ -1,19 +1,76 @@
 import { TTSConfig, TTSConfigValidator } from "../store";
+import React, { useState } from "react";
 
 import Locale from "../locales";
 import { ListItem, Select } from "./ui-lib";
 import {
+  ModelProvider,
   DEFAULT_TTS_ENGINE,
   DEFAULT_TTS_ENGINES,
   DEFAULT_TTS_MODELS,
   DEFAULT_TTS_VOICES,
 } from "../constant";
 import { InputRange } from "./input-range";
+import { IconButton } from "./button";
+import SpeakIcon from "../icons/speak.svg";
+import SpeakStopIcon from "../icons/speak-stop.svg";
+import { createTTSPlayer } from "../utils/audio";
+import { useAppConfig } from "../store";
+import { ClientApi } from "../client/api";
+import { showToast } from "../components/ui-lib";
 
+const ttsPlayer = createTTSPlayer();
 export function TTSConfigList(props: {
   ttsConfig: TTSConfig;
   updateConfig: (updater: (config: TTSConfig) => void) => void;
 }) {
+  const [speechLoading, setSpeechLoading] = useState(false);
+  const [speechStatus, setSpeechStatus] = useState(false);
+
+  const config = useAppConfig.getState();
+
+  function stopSpeech() {
+    ttsPlayer.stop();
+    setSpeechStatus(false);
+  }
+
+  async function playSpeech(text: string, ttsConfig: TTSConfig) {
+    try {
+      const api = new ClientApi(ModelProvider.GPT);
+      setSpeechLoading(true);
+      ttsPlayer.init();
+
+      const audioBuffer = await api.llm.speech({
+        model: ttsConfig.model,
+        input: text,
+        voice: ttsConfig.voice,
+        speed: ttsConfig.speed,
+      });
+
+      setSpeechStatus(true);
+      await ttsPlayer.play(audioBuffer, () => {
+        setSpeechStatus(false);
+      });
+    } catch (error) {
+      console.error("[OpenAI Speech]", error);
+      setSpeechStatus(false);
+      // Implement user-facing error notification here
+      if (typeof (error as Error).message === "string") {
+        showToast((error as Error).message);
+      }
+    } finally {
+      setSpeechLoading(false);
+    }
+  }
+
+  async function openaiSpeech(text: string) {
+    if (speechStatus) {
+      stopSpeech();
+    } else {
+      await playSpeech(text, config.ttsConfig);
+    }
+  }
+
   return (
     <>
       <ListItem
@@ -88,23 +145,41 @@ export function TTSConfigList(props: {
             title={Locale.Settings.TTS.Voice.Title}
             subTitle={Locale.Settings.TTS.Voice.SubTitle}
           >
-            <Select
-              value={props.ttsConfig.voice}
-              onChange={(e) => {
-                props.updateConfig(
-                  (config) =>
-                    (config.voice = TTSConfigValidator.voice(
+            <div style={{ display: "flex", gap: "10px" }}>
+              <IconButton
+                aria={Locale.Chat.Actions.Speech}
+                icon={speechStatus ? <SpeakStopIcon /> : <SpeakIcon />}
+                text={
+                  speechLoading
+                    ? "Loading..."
+                    : speechStatus
+                    ? Locale.Chat.Actions.Stop
+                    : Locale.Chat.Actions.Speech
+                }
+                onClick={() => {
+                  openaiSpeech(
+                    "NextChat,Unleash your imagination, experience the future of AI conversation.",
+                  );
+                }}
+              />
+
+              <Select
+                value={props.ttsConfig.voice}
+                onChange={(e) => {
+                  props.updateConfig((config) => {
+                    config.voice = TTSConfigValidator.voice(
                       e.currentTarget.value,
-                    )),
-                );
-              }}
-            >
-              {DEFAULT_TTS_VOICES.map((v, i) => (
-                <option value={v} key={i}>
-                  {v}
-                </option>
-              ))}
-            </Select>
+                    );
+                  });
+                }}
+              >
+                {DEFAULT_TTS_VOICES.map((v, i) => (
+                  <option value={v} key={i}>
+                    {v}
+                  </option>
+                ))}
+              </Select>
+            </div>
           </ListItem>
           <ListItem
             title={Locale.Settings.TTS.Speed.Title}

app/constant.ts

@@ -633,6 +633,18 @@ const xAIModes = [
   "grok-2-vision-1212",
   "grok-2-vision",
   "grok-2-vision-latest",
+  "grok-3-mini-fast-beta",
+  "grok-3-mini-fast",
+  "grok-3-mini-fast-latest",
+  "grok-3-mini-beta",
+  "grok-3-mini",
+  "grok-3-mini-latest",
+  "grok-3-fast-beta",
+  "grok-3-fast",
+  "grok-3-fast-latest",
+  "grok-3-beta",
+  "grok-3",
+  "grok-3-latest",
 ];
 
 const chatglmModels = [