- 
+ 
+
NextChat (ChatGPT Next Web)
English / [简体中文](./README_CN.md)
@@ -13,8 +14,7 @@ English / [简体中文](./README_CN.md)
-
-One-Click to get a well-designed cross-platform ChatGPT web UI, with Claude, GPT4 & Gemini Pro support.
+✨ Light and Fast AI Assistant,with Claude, DeepSeek, GPT4 & Gemini Pro support.
[![Saas][Saas-image]][saas-url]
[![Web][Web-image]][web-url]
@@ -22,7 +22,7 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with Claude, GPT
[![MacOS][MacOS-image]][download-url]
[![Linux][Linux-image]][download-url]
-[NextChatAI](https://nextchat.dev/chat?utm_source=readme) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Discord](https://discord.gg/YCkeafCafC) / [Enterprise Edition](#enterprise-edition) / [Twitter](https://twitter.com/NextChatDev)
+[NextChatAI](https://nextchat.dev/chat?utm_source=readme) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases)
[saas-url]: https://nextchat.dev/chat?utm_source=readme
@@ -34,9 +34,9 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with Claude, GPT
[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
[Linux-image]: https://img.shields.io/badge/-Linux-333?logo=ubuntu
-[
](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [
](https://zeabur.com/templates/ZBUEFA) [
](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web) [
](https://www.bt.cn/new/download.html)
+[
](https://zeabur.com/templates/ZBUEFA) [
](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [
](https://gitpod.io/#https://github.com/ChatGPTNextWeb/NextChat)
-[
](https://monica.im/?utm=nxcrp)
+[
](https://monica.im/?utm=nxcrp)
diff --git a/README_CN.md b/README_CN.md
index 9348176e5..b23ea790d 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -89,7 +89,7 @@ code1,code2,code3
### `OPENAI_API_KEY` （必填项）
-OpanAI 密钥，你在 openai 账户页面申请的 api key，使用英文逗号隔开多个 key，这样可以随机轮询这些 key。
+OpenAI 密钥，你在 openai 账户页面申请的 api key，使用英文逗号隔开多个 key，这样可以随机轮询这些 key。
### `CODE` （可选）
diff --git a/app/api/openai.ts b/app/api/openai.ts
index 2b5deca8b..e97dfbfe7 100644
--- a/app/api/openai.ts
+++ b/app/api/openai.ts
@@ -14,7 +14,7 @@ function getModels(remoteModelRes: OpenAIListModelResponse) {
if (config.disableGPT4) {
remoteModelRes.data = remoteModelRes.data.filter(
(m) =>
- !(m.id.startsWith("gpt-4") || m.id.startsWith("chatgpt-4o") || m.id.startsWith("o1")) ||
+ !(m.id.startsWith("gpt-4") || m.id.startsWith("chatgpt-4o") || m.id.startsWith("o1") || m.id.startsWith("o3")) ||
m.id.startsWith("gpt-4o-mini"),
);
}
diff --git a/app/client/platforms/openai.ts b/app/client/platforms/openai.ts
index 5a110b84b..467bb82e0 100644
--- a/app/client/platforms/openai.ts
+++ b/app/client/platforms/openai.ts
@@ -195,7 +195,7 @@ export class ChatGPTApi implements LLMApi {
let requestPayload: RequestPayload | DalleRequestPayload;
const isDalle3 = _isDalle3(options.config.model);
- const isO1 = options.config.model.startsWith("o1");
+ const isO1OrO3 = options.config.model.startsWith("o1") || options.config.model.startsWith("o3");
if (isDalle3) {
const prompt = getMessageTextContent(
options.messages.slice(-1)?.pop() as any,
@@ -217,7 +217,7 @@ export class ChatGPTApi implements LLMApi {
const content = visionModel
? await preProcessImageContent(v.content)
: getMessageTextContent(v);
- if (!(isO1 && v.role === "system"))
+ if (!(isO1OrO3 && v.role === "system"))
messages.push({ role: v.role, content });
}
@@ -226,16 +226,16 @@ export class ChatGPTApi implements LLMApi {
messages,
stream: options.config.stream,
model: modelConfig.model,
- 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,
+ temperature: !isO1OrO3 ? modelConfig.temperature : 1,
+ presence_penalty: !isO1OrO3 ? modelConfig.presence_penalty : 0,
+ frequency_penalty: !isO1OrO3 ? modelConfig.frequency_penalty : 0,
+ top_p: !isO1OrO3 ? 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.
};
// O1 使用 max_completion_tokens 控制token数 (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
- if (isO1) {
+ if (isO1OrO3) {
requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
}
@@ -359,7 +359,7 @@ export class ChatGPTApi implements LLMApi {
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
- isDalle3 || isO1 ? REQUEST_TIMEOUT_MS * 4 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
+ isDalle3 || isO1OrO3 ? REQUEST_TIMEOUT_MS * 4 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
);
const res = await fetch(chatPath, chatPayload);
diff --git a/app/components/emoji.tsx b/app/components/emoji.tsx
index d75cdda92..54d1c1c99 100644
--- a/app/components/emoji.tsx
+++ b/app/components/emoji.tsx
@@ -38,7 +38,8 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
{props.model?.startsWith("gpt-4") ||
props.model?.startsWith("chatgpt-4o") ||
- props.model?.startsWith("o1") ? (
+ props.model?.startsWith("o1") ||
+ props.model?.startsWith("o3") ? (
) : (
diff --git a/app/constant.ts b/app/constant.ts
index 6ffabfaff..60200af41 100644
--- a/app/constant.ts
+++ b/app/constant.ts
@@ -500,7 +500,9 @@ const googleModels = [
"gemini-exp-1121",
"gemini-exp-1206",
"gemini-2.0-flash-exp",
+ "gemini-2.0-flash-thinking-exp",
"gemini-2.0-flash-thinking-exp-1219",
+ "gemini-2.0-flash-thinking-exp-01-21",
];
const anthropicModels = [
diff --git a/app/utils/model.ts b/app/utils/model.ts
index a1a38a2f8..f460babcd 100644
--- a/app/utils/model.ts
+++ b/app/utils/model.ts
@@ -1,4 +1,4 @@
-import { DEFAULT_MODELS } from "../constant";
+import { DEFAULT_MODELS, ServiceProvider } from "../constant";
import { LLMModel } from "../client/api";
const CustomSeq = {
@@ -246,6 +246,11 @@ export function isModelNotavailableInServer(
? providerNames
: [providerNames];
for (const providerName of providerNamesArray) {
+ // if model provider is bytedance, use model config name to check if not avaliable
+ if (providerName === ServiceProvider.ByteDance) {
+ return !Object.values(modelTable).filter((v) => v.name === modelName)?.[0]
+ ?.available;
+ }
const fullName = `${modelName}@${providerName.toLowerCase()}`;
if (modelTable?.[fullName]?.available === true) return false;
}