Merge e2429d444b into 995bef73de

add: model gpt-5

app/client/platforms/bytedance.ts

@@ -117,7 +117,7 @@ export class DoubaoApi implements LLMApi {
     options.onController?.(controller);
 
     try {
-      const chatPath = this.path(ByteDance.ChatPath);
+      const chatPath = this.path(ByteDance.ChatPath(modelConfig.model));
       const chatPayload = {
         method: "POST",
         body: JSON.stringify(requestPayload),

app/client/platforms/openai.ts

@@ -200,6 +200,7 @@ export class ChatGPTApi implements LLMApi {
       options.config.model.startsWith("o1") ||
       options.config.model.startsWith("o3") ||
       options.config.model.startsWith("o4-mini");
+    const isGpt5 =  options.config.model.startsWith("gpt-5");
     if (isDalle3) {
       const prompt = getMessageTextContent(
         options.messages.slice(-1)?.pop() as any,
@@ -230,7 +231,7 @@ export class ChatGPTApi implements LLMApi {
         messages,
         stream: options.config.stream,
         model: modelConfig.model,
-        temperature: !isO1OrO3 ? modelConfig.temperature : 1,
+        temperature: (!isO1OrO3 && !isGpt5) ? modelConfig.temperature : 1,
         presence_penalty: !isO1OrO3 ? modelConfig.presence_penalty : 0,
         frequency_penalty: !isO1OrO3 ? modelConfig.frequency_penalty : 0,
         top_p: !isO1OrO3 ? modelConfig.top_p : 1,
@@ -238,7 +239,13 @@ 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.
       };
 
-      if (isO1OrO3) {
+      if (isGpt5) {
+  	// Remove max_tokens if present
+  	delete requestPayload.max_tokens;
+  	// Add max_completion_tokens (or max_completion_tokens if that's what you meant)
+  	requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
+
+      } else 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)
@@ -251,8 +258,9 @@ export class ChatGPTApi implements LLMApi {
         requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
       }
 
+
       // add max_tokens to vision model
-      if (visionModel && !isO1OrO3) {
+      if (visionModel && !isO1OrO3 && ! isGpt5) {
         requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
       }
     }

app/components/chat.tsx

@@ -1868,7 +1868,7 @@ function _Chat() {
                             </div>
                             {!isUser && (
                               <div className={styles["chat-model-name"]}>
-                                {message.model}
+                                {message.modelDisplayName ?? message.model}
                               </div>
                             )}
 

app/components/emoji.tsx

@@ -82,7 +82,11 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
       LlmIcon = BotIconGrok;
     } else if (modelName.startsWith("hunyuan")) {
       LlmIcon = BotIconHunyuan;
-    } else if (modelName.startsWith("doubao") || modelName.startsWith("ep-")) {
+    } else if (
+      modelName.startsWith("doubao") ||
+      modelName.startsWith("ep-") ||
+      modelName.startsWith("bot-")
+    ) {
       LlmIcon = BotIconDoubao;
     } else if (
       modelName.includes("glm") ||

app/constant.ts

@@ -221,7 +221,13 @@ export const Baidu = {
 
 export const ByteDance = {
   ExampleEndpoint: "https://ark.cn-beijing.volces.com/api/",
-  ChatPath: "api/v3/chat/completions",
+  ChatPath: (modelName: string) => {
+    if (modelName.startsWith("bot-")) {
+      return "api/v3/bots/chat/completions";
+    } else {
+      return "api/v3/chat/completions";
+    }
+  },
 };
 
 export const Alibaba = {
@@ -493,6 +499,7 @@ export const VISION_MODEL_REGEXES = [
   /o3/,
   /o4-mini/,
   /grok-4/i,
+  /gpt-5/
 ];
 
 export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
@@ -517,6 +524,11 @@ const openaiModels = [
   "gpt-4.1-nano-2025-04-14",
   "gpt-4.5-preview",
   "gpt-4.5-preview-2025-02-27",
+  "gpt-5-chat",
+  "gpt-5-mini",
+  "gpt-5-nano",
+  "gpt-5",
+  "gpt-5-chat-2025-01-01-preview",
   "gpt-4o",
   "gpt-4o-2024-05-13",
   "gpt-4o-2024-08-06",

app/store/chat.ts

@@ -60,6 +60,7 @@ export type ChatMessage = RequestMessage & {
   isError?: boolean;
   id: string;
   model?: ModelType;
+  modelDisplayName?: string;
   tools?: ChatMessageTool[];
   audio_url?: string;
   isMcpResponse?: boolean;
@@ -151,6 +152,24 @@ function getSummarizeModel(
   return [currentModel, providerName];
 }
 
+function getModelDisplayName(
+  model: ModelType,
+  providerName: ServiceProvider,
+): string | undefined {
+  const configStore = useAppConfig.getState();
+  const accessStore = useAccessStore.getState();
+  const allModel = collectModelsWithDefaultModel(
+    configStore.models,
+    [configStore.customModels, accessStore.customModels].join(","),
+    accessStore.defaultModel,
+  );
+
+  const matchedModel = allModel.find(
+    (m) => m.name === model && m.provider?.providerName === providerName,
+  );
+  return matchedModel ? matchedModel.displayName : undefined;
+}
+
 function countMessages(msgs: ChatMessage[]) {
   return msgs.reduce(
     (pre, cur) => pre + estimateTokenLength(getMessageTextContent(cur)),
@@ -437,6 +456,10 @@ export const useChatStore = createPersistStore(
           role: "assistant",
           streaming: true,
           model: modelConfig.model,
+          modelDisplayName: getModelDisplayName(
+            modelConfig.model,
+            modelConfig.providerName,
+          ),
         });
 
         // get recent messages

app/utils.ts

@@ -304,7 +304,9 @@ export function getTimeoutMSByModel(model: string) {
     model.startsWith("o1") ||
     model.startsWith("o3") ||
     model.includes("deepseek-r") ||
-    model.includes("-thinking")
+    model.includes("-thinking") ||
+    model.startsWith("ep-") ||
+    model.startsWith("bot-")
   )
     return REQUEST_TIMEOUT_MS_FOR_THINKING;
   return REQUEST_TIMEOUT_MS;