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Leizhenpen
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b95b1ac6f3 |
32
README.md
32
README.md
@@ -7,7 +7,7 @@
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<h1 align="center">NextChat</h1>
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<h1 align="center">NextChat (ChatGPT Next Web)</h1>
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English / [简体中文](./README_CN.md)
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English / [简体中文](./README_CN.md)
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@@ -22,12 +22,13 @@ English / [简体中文](./README_CN.md)
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[![MacOS][MacOS-image]][download-url]
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[![MacOS][MacOS-image]][download-url]
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||||||
[![Linux][Linux-image]][download-url]
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[![Linux][Linux-image]][download-url]
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|
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[NextChatAI](https://nextchat.club?utm_source=readme) / [iOS APP](https://apps.apple.com/us/app/nextchat-ai/id6743085599) / [Web App Demo](https://app.nextchat.club) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Enterprise Edition](#enterprise-edition)
|
[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)
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[NextChatAI](https://nextchat.club?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)
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[saas-url]: https://nextchat.club?utm_source=readme
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[saas-url]: https://nextchat.club?utm_source=readme
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||||||
[saas-image]: https://img.shields.io/badge/NextChat-Saas-green?logo=microsoftedge
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[saas-image]: https://img.shields.io/badge/NextChat-Saas-green?logo=microsoftedge
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||||||
[web-url]: https://app.nextchat.club/
|
[web-url]: https://app.nextchat.dev/
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||||||
[download-url]: https://github.com/Yidadaa/ChatGPT-Next-Web/releases
|
[download-url]: https://github.com/Yidadaa/ChatGPT-Next-Web/releases
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||||||
[Web-image]: https://img.shields.io/badge/Web-PWA-orange?logo=microsoftedge
|
[Web-image]: https://img.shields.io/badge/Web-PWA-orange?logo=microsoftedge
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||||||
[Windows-image]: https://img.shields.io/badge/-Windows-blue?logo=windows
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[Windows-image]: https://img.shields.io/badge/-Windows-blue?logo=windows
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@@ -40,12 +41,29 @@ English / [简体中文](./README_CN.md)
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</div>
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</div>
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## 🥳 Cheer for NextChat iOS Version Online!
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## 👋 Hey, NextChat is going to develop a native app!
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> [👉 Click Here to Install Now](https://apps.apple.com/us/app/nextchat-ai/id6743085599)
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> [❤️ Source Code Coming Soon](https://github.com/ChatGPTNextWeb/NextChat-iOS)
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> This week we are going to start working on iOS and Android APP, and we want to find some reliable friends to do it together!
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✨ Several key points:
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- Starting from 0, you are a veteran
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- Completely open source, not hidden
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- Native development, pursuing the ultimate experience
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Will you come and do something together? 😎
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https://github.com/ChatGPTNextWeb/NextChat/issues/6269
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#Seeking for talents is thirsty #lack of people
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## 🥳 Cheer for DeepSeek, China's AI star!
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> Purpose-Built UI for DeepSeek Reasoner Model
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<img src="https://github.com/user-attachments/assets/f3952210-3af1-4dc0-9b81-40eaa4847d9a"/>
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## 🫣 NextChat Support MCP !
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## 🫣 NextChat Support MCP !
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@@ -40,11 +40,6 @@ export interface MultimodalContent {
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};
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};
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}
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}
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export interface MultimodalContentForAlibaba {
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text?: string;
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image?: string;
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}
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export interface RequestMessage {
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export interface RequestMessage {
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role: MessageRole;
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role: MessageRole;
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content: string | MultimodalContent[];
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content: string | MultimodalContent[];
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@@ -7,10 +7,7 @@ import {
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ChatMessageTool,
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ChatMessageTool,
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usePluginStore,
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usePluginStore,
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} from "@/app/store";
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} from "@/app/store";
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import {
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import { streamWithThink } from "@/app/utils/chat";
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preProcessImageContentForAlibabaDashScope,
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streamWithThink,
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} from "@/app/utils/chat";
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import {
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import {
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ChatOptions,
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ChatOptions,
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getHeaders,
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getHeaders,
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@@ -18,14 +15,12 @@ import {
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LLMModel,
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LLMModel,
|
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SpeechOptions,
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SpeechOptions,
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MultimodalContent,
|
MultimodalContent,
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MultimodalContentForAlibaba,
|
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} from "../api";
|
} from "../api";
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import { getClientConfig } from "@/app/config/client";
|
import { getClientConfig } from "@/app/config/client";
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import {
|
import {
|
||||||
getMessageTextContent,
|
getMessageTextContent,
|
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getMessageTextContentWithoutThinking,
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getMessageTextContentWithoutThinking,
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getTimeoutMSByModel,
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getTimeoutMSByModel,
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isVisionModel,
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} from "@/app/utils";
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} from "@/app/utils";
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import { fetch } from "@/app/utils/stream";
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import { fetch } from "@/app/utils/stream";
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@@ -94,6 +89,14 @@ export class QwenApi implements LLMApi {
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}
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}
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async chat(options: ChatOptions) {
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async chat(options: ChatOptions) {
|
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const messages = options.messages.map((v) => ({
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role: v.role,
|
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content:
|
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|
v.role === "assistant"
|
||||||
|
? getMessageTextContentWithoutThinking(v)
|
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|
: getMessageTextContent(v),
|
||||||
|
}));
|
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||||||
const modelConfig = {
|
const modelConfig = {
|
||||||
...useAppConfig.getState().modelConfig,
|
...useAppConfig.getState().modelConfig,
|
||||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
...useChatStore.getState().currentSession().mask.modelConfig,
|
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@@ -102,21 +105,6 @@ export class QwenApi implements LLMApi {
|
|||||||
},
|
},
|
||||||
};
|
};
|
||||||
|
|
||||||
const visionModel = isVisionModel(options.config.model);
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||||||
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|
||||||
const messages: ChatOptions["messages"] = [];
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|
||||||
for (const v of options.messages) {
|
|
||||||
const content = (
|
|
||||||
visionModel
|
|
||||||
? await preProcessImageContentForAlibabaDashScope(v.content)
|
|
||||||
: v.role === "assistant"
|
|
||||||
? getMessageTextContentWithoutThinking(v)
|
|
||||||
: getMessageTextContent(v)
|
|
||||||
) as any;
|
|
||||||
|
|
||||||
messages.push({ role: v.role, content });
|
|
||||||
}
|
|
||||||
|
|
||||||
const shouldStream = !!options.config.stream;
|
const shouldStream = !!options.config.stream;
|
||||||
const requestPayload: RequestPayload = {
|
const requestPayload: RequestPayload = {
|
||||||
model: modelConfig.model,
|
model: modelConfig.model,
|
||||||
@@ -141,7 +129,7 @@ export class QwenApi implements LLMApi {
|
|||||||
"X-DashScope-SSE": shouldStream ? "enable" : "disable",
|
"X-DashScope-SSE": shouldStream ? "enable" : "disable",
|
||||||
};
|
};
|
||||||
|
|
||||||
const chatPath = this.path(Alibaba.ChatPath(modelConfig.model));
|
const chatPath = this.path(Alibaba.ChatPath);
|
||||||
const chatPayload = {
|
const chatPayload = {
|
||||||
method: "POST",
|
method: "POST",
|
||||||
body: JSON.stringify(requestPayload),
|
body: JSON.stringify(requestPayload),
|
||||||
@@ -174,7 +162,7 @@ export class QwenApi implements LLMApi {
|
|||||||
const json = JSON.parse(text);
|
const json = JSON.parse(text);
|
||||||
const choices = json.output.choices as Array<{
|
const choices = json.output.choices as Array<{
|
||||||
message: {
|
message: {
|
||||||
content: string | null | MultimodalContentForAlibaba[];
|
content: string | null;
|
||||||
tool_calls: ChatMessageTool[];
|
tool_calls: ChatMessageTool[];
|
||||||
reasoning_content: string | null;
|
reasoning_content: string | null;
|
||||||
};
|
};
|
||||||
@@ -224,9 +212,7 @@ export class QwenApi implements LLMApi {
|
|||||||
} else if (content && content.length > 0) {
|
} else if (content && content.length > 0) {
|
||||||
return {
|
return {
|
||||||
isThinking: false,
|
isThinking: false,
|
||||||
content: Array.isArray(content)
|
content: content,
|
||||||
? content.map((item) => item.text).join(",")
|
|
||||||
: content,
|
|
||||||
};
|
};
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@@ -75,25 +75,6 @@ export class DeepSeekApi implements LLMApi {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
// 检测并修复消息顺序,确保除system外的第一个消息是user
|
|
||||||
const filteredMessages: ChatOptions["messages"] = [];
|
|
||||||
let hasFoundFirstUser = false;
|
|
||||||
|
|
||||||
for (const msg of messages) {
|
|
||||||
if (msg.role === "system") {
|
|
||||||
// Keep all system messages
|
|
||||||
filteredMessages.push(msg);
|
|
||||||
} else if (msg.role === "user") {
|
|
||||||
// User message directly added
|
|
||||||
filteredMessages.push(msg);
|
|
||||||
hasFoundFirstUser = true;
|
|
||||||
} else if (hasFoundFirstUser) {
|
|
||||||
// After finding the first user message, all subsequent non-system messages are retained.
|
|
||||||
filteredMessages.push(msg);
|
|
||||||
}
|
|
||||||
// If hasFoundFirstUser is false and it is not a system message, it will be skipped.
|
|
||||||
}
|
|
||||||
|
|
||||||
const modelConfig = {
|
const modelConfig = {
|
||||||
...useAppConfig.getState().modelConfig,
|
...useAppConfig.getState().modelConfig,
|
||||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||||
@@ -104,7 +85,7 @@ export class DeepSeekApi implements LLMApi {
|
|||||||
};
|
};
|
||||||
|
|
||||||
const requestPayload: RequestPayload = {
|
const requestPayload: RequestPayload = {
|
||||||
messages: filteredMessages,
|
messages,
|
||||||
stream: options.config.stream,
|
stream: options.config.stream,
|
||||||
model: modelConfig.model,
|
model: modelConfig.model,
|
||||||
temperature: modelConfig.temperature,
|
temperature: modelConfig.temperature,
|
||||||
|
@@ -56,7 +56,7 @@ export interface OpenAIListModelResponse {
|
|||||||
|
|
||||||
export interface RequestPayload {
|
export interface RequestPayload {
|
||||||
messages: {
|
messages: {
|
||||||
role: "developer" | "system" | "user" | "assistant";
|
role: "system" | "user" | "assistant";
|
||||||
content: string | MultimodalContent[];
|
content: string | MultimodalContent[];
|
||||||
}[];
|
}[];
|
||||||
stream?: boolean;
|
stream?: boolean;
|
||||||
@@ -198,8 +198,7 @@ export class ChatGPTApi implements LLMApi {
|
|||||||
const isDalle3 = _isDalle3(options.config.model);
|
const isDalle3 = _isDalle3(options.config.model);
|
||||||
const isO1OrO3 =
|
const isO1OrO3 =
|
||||||
options.config.model.startsWith("o1") ||
|
options.config.model.startsWith("o1") ||
|
||||||
options.config.model.startsWith("o3") ||
|
options.config.model.startsWith("o3");
|
||||||
options.config.model.startsWith("o4-mini");
|
|
||||||
if (isDalle3) {
|
if (isDalle3) {
|
||||||
const prompt = getMessageTextContent(
|
const prompt = getMessageTextContent(
|
||||||
options.messages.slice(-1)?.pop() as any,
|
options.messages.slice(-1)?.pop() as any,
|
||||||
@@ -238,21 +237,13 @@ 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.
|
// 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) {
|
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;
|
requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
|
||||||
}
|
}
|
||||||
|
|
||||||
// add max_tokens to vision model
|
// add max_tokens to vision model
|
||||||
if (visionModel && !isO1OrO3) {
|
if (visionModel) {
|
||||||
requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
|
requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
@@ -66,11 +66,11 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
|
|||||||
LlmIcon = BotIconGemma;
|
LlmIcon = BotIconGemma;
|
||||||
} else if (modelName.startsWith("claude")) {
|
} else if (modelName.startsWith("claude")) {
|
||||||
LlmIcon = BotIconClaude;
|
LlmIcon = BotIconClaude;
|
||||||
} else if (modelName.includes("llama")) {
|
} else if (modelName.toLowerCase().includes("llama")) {
|
||||||
LlmIcon = BotIconMeta;
|
LlmIcon = BotIconMeta;
|
||||||
} else if (modelName.startsWith("mixtral") || modelName.startsWith("codestral")) {
|
} else if (modelName.startsWith("mixtral")) {
|
||||||
LlmIcon = BotIconMistral;
|
LlmIcon = BotIconMistral;
|
||||||
} else if (modelName.includes("deepseek")) {
|
} else if (modelName.toLowerCase().includes("deepseek")) {
|
||||||
LlmIcon = BotIconDeepseek;
|
LlmIcon = BotIconDeepseek;
|
||||||
} else if (modelName.startsWith("moonshot")) {
|
} else if (modelName.startsWith("moonshot")) {
|
||||||
LlmIcon = BotIconMoonshot;
|
LlmIcon = BotIconMoonshot;
|
||||||
@@ -85,7 +85,7 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
|
|||||||
} else if (modelName.startsWith("doubao") || modelName.startsWith("ep-")) {
|
} else if (modelName.startsWith("doubao") || modelName.startsWith("ep-")) {
|
||||||
LlmIcon = BotIconDoubao;
|
LlmIcon = BotIconDoubao;
|
||||||
} else if (
|
} else if (
|
||||||
modelName.includes("glm") ||
|
modelName.toLowerCase().includes("glm") ||
|
||||||
modelName.startsWith("cogview-") ||
|
modelName.startsWith("cogview-") ||
|
||||||
modelName.startsWith("cogvideox-")
|
modelName.startsWith("cogvideox-")
|
||||||
) {
|
) {
|
||||||
|
@@ -221,12 +221,7 @@ export const ByteDance = {
|
|||||||
|
|
||||||
export const Alibaba = {
|
export const Alibaba = {
|
||||||
ExampleEndpoint: ALIBABA_BASE_URL,
|
ExampleEndpoint: ALIBABA_BASE_URL,
|
||||||
ChatPath: (modelName: string) => {
|
ChatPath: "v1/services/aigc/text-generation/generation",
|
||||||
if (modelName.includes("vl") || modelName.includes("omni")) {
|
|
||||||
return "v1/services/aigc/multimodal-generation/generation";
|
|
||||||
}
|
|
||||||
return `v1/services/aigc/text-generation/generation`;
|
|
||||||
},
|
|
||||||
};
|
};
|
||||||
|
|
||||||
export const Tencent = {
|
export const Tencent = {
|
||||||
@@ -417,14 +412,6 @@ export const KnowledgeCutOffDate: Record<string, string> = {
|
|||||||
"gpt-4-turbo": "2023-12",
|
"gpt-4-turbo": "2023-12",
|
||||||
"gpt-4-turbo-2024-04-09": "2023-12",
|
"gpt-4-turbo-2024-04-09": "2023-12",
|
||||||
"gpt-4-turbo-preview": "2023-12",
|
"gpt-4-turbo-preview": "2023-12",
|
||||||
"gpt-4.1": "2024-06",
|
|
||||||
"gpt-4.1-2025-04-14": "2024-06",
|
|
||||||
"gpt-4.1-mini": "2024-06",
|
|
||||||
"gpt-4.1-mini-2025-04-14": "2024-06",
|
|
||||||
"gpt-4.1-nano": "2024-06",
|
|
||||||
"gpt-4.1-nano-2025-04-14": "2024-06",
|
|
||||||
"gpt-4.5-preview": "2023-10",
|
|
||||||
"gpt-4.5-preview-2025-02-27": "2023-10",
|
|
||||||
"gpt-4o": "2023-10",
|
"gpt-4o": "2023-10",
|
||||||
"gpt-4o-2024-05-13": "2023-10",
|
"gpt-4o-2024-05-13": "2023-10",
|
||||||
"gpt-4o-2024-08-06": "2023-10",
|
"gpt-4o-2024-08-06": "2023-10",
|
||||||
@@ -466,7 +453,6 @@ export const DEFAULT_TTS_VOICES = [
|
|||||||
export const VISION_MODEL_REGEXES = [
|
export const VISION_MODEL_REGEXES = [
|
||||||
/vision/,
|
/vision/,
|
||||||
/gpt-4o/,
|
/gpt-4o/,
|
||||||
/gpt-4\.1/,
|
|
||||||
/claude-3/,
|
/claude-3/,
|
||||||
/gemini-1\.5/,
|
/gemini-1\.5/,
|
||||||
/gemini-exp/,
|
/gemini-exp/,
|
||||||
@@ -478,8 +464,6 @@ export const VISION_MODEL_REGEXES = [
|
|||||||
/^dall-e-3$/, // Matches exactly "dall-e-3"
|
/^dall-e-3$/, // Matches exactly "dall-e-3"
|
||||||
/glm-4v/,
|
/glm-4v/,
|
||||||
/vl/i,
|
/vl/i,
|
||||||
/o3/,
|
|
||||||
/o4-mini/,
|
|
||||||
];
|
];
|
||||||
|
|
||||||
export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
|
export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
|
||||||
@@ -496,14 +480,6 @@ const openaiModels = [
|
|||||||
"gpt-4-32k-0613",
|
"gpt-4-32k-0613",
|
||||||
"gpt-4-turbo",
|
"gpt-4-turbo",
|
||||||
"gpt-4-turbo-preview",
|
"gpt-4-turbo-preview",
|
||||||
"gpt-4.1",
|
|
||||||
"gpt-4.1-2025-04-14",
|
|
||||||
"gpt-4.1-mini",
|
|
||||||
"gpt-4.1-mini-2025-04-14",
|
|
||||||
"gpt-4.1-nano",
|
|
||||||
"gpt-4.1-nano-2025-04-14",
|
|
||||||
"gpt-4.5-preview",
|
|
||||||
"gpt-4.5-preview-2025-02-27",
|
|
||||||
"gpt-4o",
|
"gpt-4o",
|
||||||
"gpt-4o-2024-05-13",
|
"gpt-4o-2024-05-13",
|
||||||
"gpt-4o-2024-08-06",
|
"gpt-4o-2024-08-06",
|
||||||
@@ -518,20 +494,23 @@ const openaiModels = [
|
|||||||
"o1-mini",
|
"o1-mini",
|
||||||
"o1-preview",
|
"o1-preview",
|
||||||
"o3-mini",
|
"o3-mini",
|
||||||
"o3",
|
|
||||||
"o4-mini",
|
|
||||||
];
|
];
|
||||||
|
|
||||||
const googleModels = [
|
const googleModels = [
|
||||||
|
"gemini-1.0-pro", // Deprecated on 2/15/2025
|
||||||
"gemini-1.5-pro-latest",
|
"gemini-1.5-pro-latest",
|
||||||
"gemini-1.5-pro",
|
"gemini-1.5-pro",
|
||||||
"gemini-1.5-pro-002",
|
"gemini-1.5-pro-002",
|
||||||
|
"gemini-1.5-pro-exp-0827",
|
||||||
"gemini-1.5-flash-latest",
|
"gemini-1.5-flash-latest",
|
||||||
"gemini-1.5-flash-8b-latest",
|
"gemini-1.5-flash-8b-latest",
|
||||||
"gemini-1.5-flash",
|
"gemini-1.5-flash",
|
||||||
"gemini-1.5-flash-8b",
|
"gemini-1.5-flash-8b",
|
||||||
"gemini-1.5-flash-002",
|
"gemini-1.5-flash-002",
|
||||||
|
"gemini-1.5-flash-exp-0827",
|
||||||
"learnlm-1.5-pro-experimental",
|
"learnlm-1.5-pro-experimental",
|
||||||
|
"gemini-exp-1114",
|
||||||
|
"gemini-exp-1121",
|
||||||
"gemini-exp-1206",
|
"gemini-exp-1206",
|
||||||
"gemini-2.0-flash",
|
"gemini-2.0-flash",
|
||||||
"gemini-2.0-flash-exp",
|
"gemini-2.0-flash-exp",
|
||||||
@@ -541,7 +520,6 @@ const googleModels = [
|
|||||||
"gemini-2.0-flash-thinking-exp-01-21",
|
"gemini-2.0-flash-thinking-exp-01-21",
|
||||||
"gemini-2.0-pro-exp",
|
"gemini-2.0-pro-exp",
|
||||||
"gemini-2.0-pro-exp-02-05",
|
"gemini-2.0-pro-exp-02-05",
|
||||||
"gemini-2.5-pro-preview-06-05",
|
|
||||||
];
|
];
|
||||||
|
|
||||||
const anthropicModels = [
|
const anthropicModels = [
|
||||||
@@ -557,8 +535,6 @@ const anthropicModels = [
|
|||||||
"claude-3-5-sonnet-20240620",
|
"claude-3-5-sonnet-20240620",
|
||||||
"claude-3-5-sonnet-20241022",
|
"claude-3-5-sonnet-20241022",
|
||||||
"claude-3-5-sonnet-latest",
|
"claude-3-5-sonnet-latest",
|
||||||
"claude-3-7-sonnet-20250219",
|
|
||||||
"claude-3-7-sonnet-latest",
|
|
||||||
];
|
];
|
||||||
|
|
||||||
const baiduModels = [
|
const baiduModels = [
|
||||||
@@ -592,9 +568,6 @@ const alibabaModes = [
|
|||||||
"qwen-max-0403",
|
"qwen-max-0403",
|
||||||
"qwen-max-0107",
|
"qwen-max-0107",
|
||||||
"qwen-max-longcontext",
|
"qwen-max-longcontext",
|
||||||
"qwen-omni-turbo",
|
|
||||||
"qwen-vl-plus",
|
|
||||||
"qwen-vl-max",
|
|
||||||
];
|
];
|
||||||
|
|
||||||
const tencentModels = [
|
const tencentModels = [
|
||||||
@@ -628,18 +601,6 @@ const xAIModes = [
|
|||||||
"grok-2-vision-1212",
|
"grok-2-vision-1212",
|
||||||
"grok-2-vision",
|
"grok-2-vision",
|
||||||
"grok-2-vision-latest",
|
"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 = [
|
const chatglmModels = [
|
||||||
|
@@ -3,7 +3,7 @@ import {
|
|||||||
UPLOAD_URL,
|
UPLOAD_URL,
|
||||||
REQUEST_TIMEOUT_MS,
|
REQUEST_TIMEOUT_MS,
|
||||||
} from "@/app/constant";
|
} from "@/app/constant";
|
||||||
import { MultimodalContent, RequestMessage } from "@/app/client/api";
|
import { RequestMessage } from "@/app/client/api";
|
||||||
import Locale from "@/app/locales";
|
import Locale from "@/app/locales";
|
||||||
import {
|
import {
|
||||||
EventStreamContentType,
|
EventStreamContentType,
|
||||||
@@ -70,9 +70,8 @@ export function compressImage(file: Blob, maxSize: number): Promise<string> {
|
|||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
export async function preProcessImageContentBase(
|
export async function preProcessImageContent(
|
||||||
content: RequestMessage["content"],
|
content: RequestMessage["content"],
|
||||||
transformImageUrl: (url: string) => Promise<{ [key: string]: any }>,
|
|
||||||
) {
|
) {
|
||||||
if (typeof content === "string") {
|
if (typeof content === "string") {
|
||||||
return content;
|
return content;
|
||||||
@@ -82,7 +81,7 @@ export async function preProcessImageContentBase(
|
|||||||
if (part?.type == "image_url" && part?.image_url?.url) {
|
if (part?.type == "image_url" && part?.image_url?.url) {
|
||||||
try {
|
try {
|
||||||
const url = await cacheImageToBase64Image(part?.image_url?.url);
|
const url = await cacheImageToBase64Image(part?.image_url?.url);
|
||||||
result.push(await transformImageUrl(url));
|
result.push({ type: part.type, image_url: { url } });
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
console.error("Error processing image URL:", error);
|
console.error("Error processing image URL:", error);
|
||||||
}
|
}
|
||||||
@@ -93,23 +92,6 @@ export async function preProcessImageContentBase(
|
|||||||
return result;
|
return result;
|
||||||
}
|
}
|
||||||
|
|
||||||
export async function preProcessImageContent(
|
|
||||||
content: RequestMessage["content"],
|
|
||||||
) {
|
|
||||||
return preProcessImageContentBase(content, async (url) => ({
|
|
||||||
type: "image_url",
|
|
||||||
image_url: { url },
|
|
||||||
})) as Promise<MultimodalContent[] | string>;
|
|
||||||
}
|
|
||||||
|
|
||||||
export async function preProcessImageContentForAlibabaDashScope(
|
|
||||||
content: RequestMessage["content"],
|
|
||||||
) {
|
|
||||||
return preProcessImageContentBase(content, async (url) => ({
|
|
||||||
image: url,
|
|
||||||
}));
|
|
||||||
}
|
|
||||||
|
|
||||||
const imageCaches: Record<string, string> = {};
|
const imageCaches: Record<string, string> = {};
|
||||||
export function cacheImageToBase64Image(imageUrl: string) {
|
export function cacheImageToBase64Image(imageUrl: string) {
|
||||||
if (imageUrl.includes(CACHE_URL_PREFIX)) {
|
if (imageUrl.includes(CACHE_URL_PREFIX)) {
|
||||||
|
@@ -15,8 +15,6 @@ const config: Config = {
|
|||||||
moduleNameMapper: {
|
moduleNameMapper: {
|
||||||
"^@/(.*)$": "<rootDir>/$1",
|
"^@/(.*)$": "<rootDir>/$1",
|
||||||
},
|
},
|
||||||
extensionsToTreatAsEsm: [".ts", ".tsx"],
|
|
||||||
injectGlobals: true,
|
|
||||||
};
|
};
|
||||||
|
|
||||||
// createJestConfig is exported this way to ensure that next/jest can load the Next.js config which is async
|
// createJestConfig is exported this way to ensure that next/jest can load the Next.js config which is async
|
||||||
|
@@ -1,22 +1,24 @@
|
|||||||
// Learn more: https://github.com/testing-library/jest-dom
|
// Learn more: https://github.com/testing-library/jest-dom
|
||||||
import "@testing-library/jest-dom";
|
import "@testing-library/jest-dom";
|
||||||
import { jest } from "@jest/globals";
|
|
||||||
|
|
||||||
global.fetch = jest.fn(() =>
|
global.fetch = jest.fn(() =>
|
||||||
Promise.resolve({
|
Promise.resolve({
|
||||||
ok: true,
|
ok: true,
|
||||||
status: 200,
|
status: 200,
|
||||||
json: () => Promise.resolve([]),
|
json: () => Promise.resolve({}),
|
||||||
headers: new Headers(),
|
headers: new Headers(),
|
||||||
redirected: false,
|
redirected: false,
|
||||||
statusText: "OK",
|
statusText: "OK",
|
||||||
type: "basic",
|
type: "basic",
|
||||||
url: "",
|
url: "",
|
||||||
|
clone: function () {
|
||||||
|
return this;
|
||||||
|
},
|
||||||
body: null,
|
body: null,
|
||||||
bodyUsed: false,
|
bodyUsed: false,
|
||||||
arrayBuffer: () => Promise.resolve(new ArrayBuffer(0)),
|
arrayBuffer: () => Promise.resolve(new ArrayBuffer(0)),
|
||||||
blob: () => Promise.resolve(new Blob()),
|
blob: () => Promise.resolve(new Blob()),
|
||||||
formData: () => Promise.resolve(new FormData()),
|
formData: () => Promise.resolve(new FormData()),
|
||||||
text: () => Promise.resolve(""),
|
text: () => Promise.resolve(""),
|
||||||
} as Response),
|
}),
|
||||||
);
|
);
|
||||||
|
@@ -17,8 +17,8 @@
|
|||||||
"prompts": "node ./scripts/fetch-prompts.mjs",
|
"prompts": "node ./scripts/fetch-prompts.mjs",
|
||||||
"prepare": "husky install",
|
"prepare": "husky install",
|
||||||
"proxy-dev": "sh ./scripts/init-proxy.sh && proxychains -f ./scripts/proxychains.conf yarn dev",
|
"proxy-dev": "sh ./scripts/init-proxy.sh && proxychains -f ./scripts/proxychains.conf yarn dev",
|
||||||
"test": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --watch",
|
"test": "jest --watch",
|
||||||
"test:ci": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --ci"
|
"test:ci": "jest --ci"
|
||||||
},
|
},
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
"@fortaine/fetch-event-source": "^3.0.6",
|
"@fortaine/fetch-event-source": "^3.0.6",
|
||||||
@@ -83,7 +83,7 @@
|
|||||||
"jest": "^29.7.0",
|
"jest": "^29.7.0",
|
||||||
"jest-environment-jsdom": "^29.7.0",
|
"jest-environment-jsdom": "^29.7.0",
|
||||||
"lint-staged": "^13.2.2",
|
"lint-staged": "^13.2.2",
|
||||||
"prettier": "^3.6.2",
|
"prettier": "^3.0.2",
|
||||||
"ts-node": "^10.9.2",
|
"ts-node": "^10.9.2",
|
||||||
"tsx": "^4.16.0",
|
"tsx": "^4.16.0",
|
||||||
"typescript": "5.2.2",
|
"typescript": "5.2.2",
|
||||||
|
@@ -1,4 +1,3 @@
|
|||||||
import { jest } from "@jest/globals";
|
|
||||||
import { isVisionModel } from "../app/utils";
|
import { isVisionModel } from "../app/utils";
|
||||||
|
|
||||||
describe("isVisionModel", () => {
|
describe("isVisionModel", () => {
|
||||||
|
@@ -7076,10 +7076,10 @@ prettier-linter-helpers@^1.0.0:
|
|||||||
dependencies:
|
dependencies:
|
||||||
fast-diff "^1.1.2"
|
fast-diff "^1.1.2"
|
||||||
|
|
||||||
prettier@^3.6.2:
|
prettier@^3.0.2:
|
||||||
version "3.6.2"
|
version "3.0.2"
|
||||||
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.6.2.tgz#ccda02a1003ebbb2bfda6f83a074978f608b9393"
|
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.0.2.tgz#78fcecd6d870551aa5547437cdae39d4701dca5b"
|
||||||
integrity sha512-I7AIg5boAr5R0FFtJ6rCfD+LFsWHp81dolrFD8S79U9tb8Az2nGrJncnMSnys+bpQJfRUzqs9hnA81OAA3hCuQ==
|
integrity sha512-o2YR9qtniXvwEZlOKbveKfDQVyqxbEIWn48Z8m3ZJjBjcCmUy3xZGIv+7AkaeuaTr6yPXJjwv07ZWlsWbEy1rQ==
|
||||||
|
|
||||||
pretty-format@^27.0.2:
|
pretty-format@^27.0.2:
|
||||||
version "27.5.1"
|
version "27.5.1"
|
||||||
|
Reference in New Issue
Block a user