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Merge branch 'main' of https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web into add_deepseek

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This commit is contained in:
suruiqiang 2024-12-29 08:43:25 +08:00
commit 7380c8a2c1
23 changed files with 361 additions and 85 deletions
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4
app/api/alibaba.ts
View File

@ -8,7 +8,7 @@ import {
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelAvailableInServer } from "@/app/utils/model";
import { isModelNotavailableInServer } from "@/app/utils/model";
const serverConfig = getServerSideConfig();
@ -89,7 +89,7 @@ async function request(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.Alibaba as string,

4
app/api/anthropic.ts
View File

@ -9,7 +9,7 @@ import {
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "./auth";
import { isModelAvailableInServer } from "@/app/utils/model";
import { isModelNotavailableInServer } from "@/app/utils/model";
import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
const ALLOWD_PATH = new Set([Anthropic.ChatPath, Anthropic.ChatPath1]);
@ -122,7 +122,7 @@ async function request(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.Anthropic as string,

4
app/api/baidu.ts
View File

@ -8,7 +8,7 @@ import {
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelAvailableInServer } from "@/app/utils/model";
import { isModelNotavailableInServer } from "@/app/utils/model";
import { getAccessToken } from "@/app/utils/baidu";
const serverConfig = getServerSideConfig();
@ -104,7 +104,7 @@ async function request(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.Baidu as string,

4
app/api/bytedance.ts
View File

@ -8,7 +8,7 @@ import {
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelAvailableInServer } from "@/app/utils/model";
import { isModelNotavailableInServer } from "@/app/utils/model";
const serverConfig = getServerSideConfig();
@ -88,7 +88,7 @@ async function request(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.ByteDance as string,

15
app/api/common.ts
View File

@ -2,7 +2,7 @@ import { NextRequest, NextResponse } from "next/server";
import { getServerSideConfig } from "../config/server";
import { OPENAI_BASE_URL, ServiceProvider } from "../constant";
import { cloudflareAIGatewayUrl } from "../utils/cloudflare";
import { getModelProvider, isModelAvailableInServer } from "../utils/model";
import { getModelProvider, isModelNotavailableInServer } from "../utils/model";
const serverConfig = getServerSideConfig();
@ -118,15 +118,14 @@ export async function requestOpenai(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.OpenAI as string,
) ||
isModelAvailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.Azure as string,
[
ServiceProvider.OpenAI,
ServiceProvider.Azure,
jsonBody?.model as string, // support provider-unspecified model
],
)
) {
return NextResponse.json(

4
app/api/glm.ts
View File

@ -8,7 +8,7 @@ import {
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelAvailableInServer } from "@/app/utils/model";
import { isModelNotavailableInServer } from "@/app/utils/model";
const serverConfig = getServerSideConfig();
@ -89,7 +89,7 @@ async function request(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.ChatGLM as string,

4
app/api/iflytek.ts
View File

@ -8,7 +8,7 @@ import {
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelAvailableInServer } from "@/app/utils/model";
import { isModelNotavailableInServer } from "@/app/utils/model";
// iflytek
const serverConfig = getServerSideConfig();
@ -89,7 +89,7 @@ async function request(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.Iflytek as string,

4
app/api/moonshot.ts
View File

@ -8,7 +8,7 @@ import {
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelAvailableInServer } from "@/app/utils/model";
import { isModelNotavailableInServer } from "@/app/utils/model";
const serverConfig = getServerSideConfig();
@ -88,7 +88,7 @@ async function request(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.Moonshot as string,

4
app/api/xai.ts
View File

@ -8,7 +8,7 @@ import {
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelAvailableInServer } from "@/app/utils/model";
import { isModelNotavailableInServer } from "@/app/utils/model";
const serverConfig = getServerSideConfig();
@ -88,7 +88,7 @@ async function request(req: NextRequest) {
// not undefined and is false
if (
isModelAvailableInServer(
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.XAI as string,

140
app/client/platforms/glm.ts
View File

@ -21,16 +21,108 @@ import {
SpeechOptions,
} from "../api";
import { getClientConfig } from "@/app/config/client";
import { getMessageTextContent } from "@/app/utils";
import { getMessageTextContent, isVisionModel } from "@/app/utils";
import { RequestPayload } from "./openai";
import { fetch } from "@/app/utils/stream";
import { preProcessImageContent } from "@/app/utils/chat";
interface BasePayload {
model: string;
}
interface ChatPayload extends BasePayload {
messages: ChatOptions["messages"];
stream?: boolean;
temperature?: number;
presence_penalty?: number;
frequency_penalty?: number;
top_p?: number;
}
interface ImageGenerationPayload extends BasePayload {
prompt: string;
size?: string;
user_id?: string;
}
interface VideoGenerationPayload extends BasePayload {
prompt: string;
duration?: number;
resolution?: string;
user_id?: string;
}
type ModelType = "chat" | "image" | "video";
export class ChatGLMApi implements LLMApi {
private disableListModels = true;
private getModelType(model: string): ModelType {
if (model.startsWith("cogview-")) return "image";
if (model.startsWith("cogvideo-")) return "video";
return "chat";
}
private getModelPath(type: ModelType): string {
switch (type) {
case "image":
return ChatGLM.ImagePath;
case "video":
return ChatGLM.VideoPath;
default:
return ChatGLM.ChatPath;
}
}
private createPayload(
messages: ChatOptions["messages"],
modelConfig: any,
options: ChatOptions,
): BasePayload {
const modelType = this.getModelType(modelConfig.model);
const lastMessage = messages[messages.length - 1];
const prompt =
typeof lastMessage.content === "string"
? lastMessage.content
: lastMessage.content.map((c) => c.text).join("\n");
switch (modelType) {
case "image":
return {
model: modelConfig.model,
prompt,
size: options.config.size,
} as ImageGenerationPayload;
default:
return {
messages,
stream: options.config.stream,
model: modelConfig.model,
temperature: modelConfig.temperature,
presence_penalty: modelConfig.presence_penalty,
frequency_penalty: modelConfig.frequency_penalty,
top_p: modelConfig.top_p,
} as ChatPayload;
}
}
private parseResponse(modelType: ModelType, json: any): string {
switch (modelType) {
case "image": {
const imageUrl = json.data?.[0]?.url;
return imageUrl ? `![Generated Image](${imageUrl})` : "";
}
case "video": {
const videoUrl = json.data?.[0]?.url;
return videoUrl ? `<video controls src="${videoUrl}"></video>` : "";
}
default:
return this.extractMessage(json);
}
}
path(path: string): string {
const accessStore = useAccessStore.getState();
let baseUrl = "";
if (accessStore.useCustomConfig) {
@ -51,7 +143,6 @@ export class ChatGLMApi implements LLMApi {
}
console.log("[Proxy Endpoint] ", baseUrl, path);
return [baseUrl, path].join("/");
}
@ -64,9 +155,12 @@ export class ChatGLMApi implements LLMApi {
}
async chat(options: ChatOptions) {
const visionModel = isVisionModel(options.config.model);
const messages: ChatOptions["messages"] = [];
for (const v of options.messages) {
const content = getMessageTextContent(v);
const content = visionModel
? await preProcessImageContent(v.content)
: getMessageTextContent(v);
messages.push({ role: v.role, content });
}
@ -78,25 +172,16 @@ export class ChatGLMApi implements LLMApi {
providerName: options.config.providerName,
},
};
const modelType = this.getModelType(modelConfig.model);
const requestPayload = this.createPayload(messages, modelConfig, options);
const path = this.path(this.getModelPath(modelType));
const requestPayload: RequestPayload = {
messages,
stream: options.config.stream,
model: modelConfig.model,
temperature: modelConfig.temperature,
presence_penalty: modelConfig.presence_penalty,
frequency_penalty: modelConfig.frequency_penalty,
top_p: modelConfig.top_p,
};
console.log(`[Request] glm ${modelType} payload: `, requestPayload);
console.log("[Request] glm payload: ", requestPayload);
const shouldStream = !!options.config.stream;
const controller = new AbortController();
options.onController?.(controller);
try {
const chatPath = this.path(ChatGLM.ChatPath);
const chatPayload = {
method: "POST",
body: JSON.stringify(requestPayload),
@ -104,12 +189,23 @@ export class ChatGLMApi implements LLMApi {
headers: getHeaders(),
};
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
);
if (modelType === "image" || modelType === "video") {
const res = await fetch(path, chatPayload);
clearTimeout(requestTimeoutId);
const resJson = await res.json();
console.log(`[Response] glm ${modelType}:`, resJson);
const message = this.parseResponse(modelType, resJson);
options.onFinish(message, res);
return;
}
const shouldStream = !!options.config.stream;
if (shouldStream) {
const [tools, funcs] = usePluginStore
.getState()
@ -117,7 +213,7 @@ export class ChatGLMApi implements LLMApi {
useChatStore.getState().currentSession().mask?.plugin || [],
);
return stream(
chatPath,
path,
requestPayload,
getHeaders(),
tools as any,
@ -125,7 +221,6 @@ export class ChatGLMApi implements LLMApi {
controller,
// parseSSE
(text: string, runTools: ChatMessageTool[]) => {
// console.log("parseSSE", text, runTools);
const json = JSON.parse(text);
const choices = json.choices as Array<{
delta: {
@ -154,7 +249,7 @@ export class ChatGLMApi implements LLMApi {
}
return choices[0]?.delta?.content;
},
// processToolMessage, include tool_calls message and tool call results
// processToolMessage
(
requestPayload: RequestPayload,
toolCallMessage: any,
@ -172,7 +267,7 @@ export class ChatGLMApi implements LLMApi {
options,
);
} else {
const res = await fetch(chatPath, chatPayload);
const res = await fetch(path, chatPayload);
clearTimeout(requestTimeoutId);
const resJson = await res.json();
@ -184,6 +279,7 @@ export class ChatGLMApi implements LLMApi {
options.onError?.(e as Error);
}
}
async usage() {
return {
used: 0,

18
app/client/platforms/google.ts
View File

@ -60,9 +60,18 @@ export class GeminiProApi implements LLMApi {
extractMessage(res: any) {
console.log("[Response] gemini-pro response: ", res);
const getTextFromParts = (parts: any[]) => {
if (!Array.isArray(parts)) return "";
return parts
.map((part) => part?.text || "")
.filter((text) => text.trim() !== "")
.join("\n\n");
};
return (
res?.candidates?.at(0)?.content?.parts.at(0)?.text ||
res?.at(0)?.candidates?.at(0)?.content?.parts.at(0)?.text ||
getTextFromParts(res?.candidates?.at(0)?.content?.parts) ||
getTextFromParts(res?.at(0)?.candidates?.at(0)?.content?.parts) ||
res?.error?.message ||
""
);
@ -223,7 +232,10 @@ export class GeminiProApi implements LLMApi {
},
});
}
return chunkJson?.candidates?.at(0)?.content.parts.at(0)?.text;
return chunkJson?.candidates
?.at(0)
?.content.parts?.map((part: { text: string }) => part.text)
.join("\n\n");
},
// processToolMessage, include tool_calls message and tool call results
(

4
app/client/platforms/openai.ts
View File

@ -24,7 +24,7 @@ import {
stream,
} from "@/app/utils/chat";
import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
import { DalleSize, DalleQuality, DalleStyle } from "@/app/typing";
import { ModelSize, DalleQuality, DalleStyle } from "@/app/typing";
import {
ChatOptions,
@ -73,7 +73,7 @@ export interface DalleRequestPayload {
prompt: string;
response_format: "url" | "b64_json";
n: number;
size: DalleSize;
size: ModelSize;
quality: DalleQuality;
style: DalleStyle;
}

13
app/components/chat.tsx
View File

@ -72,6 +72,8 @@ import {
isDalle3,
showPlugins,
safeLocalStorage,
getModelSizes,
supportsCustomSize,
} from "../utils";
import { uploadImage as uploadImageRemote } from "@/app/utils/chat";
@ -79,7 +81,7 @@ import { uploadImage as uploadImageRemote } from "@/app/utils/chat";
import dynamic from "next/dynamic";
import { ChatControllerPool } from "../client/controller";
import { DalleSize, DalleQuality, DalleStyle } from "../typing";
import { DalleQuality, DalleStyle, ModelSize } from "../typing";
import { Prompt, usePromptStore } from "../store/prompt";
import Locale from "../locales";
@ -519,10 +521,11 @@ export function ChatActions(props: {
const [showSizeSelector, setShowSizeSelector] = useState(false);
const [showQualitySelector, setShowQualitySelector] = useState(false);
const [showStyleSelector, setShowStyleSelector] = useState(false);
const dalle3Sizes: DalleSize[] = ["1024x1024", "1792x1024", "1024x1792"];
const modelSizes = getModelSizes(currentModel);
const dalle3Qualitys: DalleQuality[] = ["standard", "hd"];
const dalle3Styles: DalleStyle[] = ["vivid", "natural"];
const currentSize = session.mask.modelConfig?.size ?? "1024x1024";
const currentSize =
session.mask.modelConfig?.size ?? ("1024x1024" as ModelSize);
const currentQuality = session.mask.modelConfig?.quality ?? "standard";
const currentStyle = session.mask.modelConfig?.style ?? "vivid";
@ -673,7 +676,7 @@ export function ChatActions(props: {
/>
)}
{isDalle3(currentModel) && (
{supportsCustomSize(currentModel) && (
<ChatAction
onClick={() => setShowSizeSelector(true)}
text={currentSize}
@ -684,7 +687,7 @@ export function ChatActions(props: {
{showSizeSelector && (
<Selector
defaultSelectedValue={currentSize}
items={dalle3Sizes.map((m) => ({
items={modelSizes.map((m) => ({
title: m,
value: m,
}))}

17
app/components/sidebar.tsx
View File

@ -22,7 +22,6 @@ import {
MIN_SIDEBAR_WIDTH,
NARROW_SIDEBAR_WIDTH,
Path,
PLUGINS,
REPO_URL,
} from "../constant";
@ -32,6 +31,12 @@ import dynamic from "next/dynamic";
import { showConfirm, Selector } from "./ui-lib";
import clsx from "clsx";
const DISCOVERY = [
{ name: Locale.Plugin.Name, path: Path.Plugins },
{ name: "Stable Diffusion", path: Path.Sd },
{ name: Locale.SearchChat.Page.Title, path: Path.SearchChat },
];
const ChatList = dynamic(async () => (await import("./chat-list")).ChatList, {
loading: () => null,
});
@ -219,7 +224,7 @@ export function SideBarTail(props: {
export function SideBar(props: { className?: string }) {
useHotKey();
const { onDragStart, shouldNarrow } = useDragSideBar();
const [showPluginSelector, setShowPluginSelector] = useState(false);
const [showDiscoverySelector, setshowDiscoverySelector] = useState(false);
const navigate = useNavigate();
const config = useAppConfig();
const chatStore = useChatStore();
@ -254,21 +259,21 @@ export function SideBar(props: { className?: string }) {
icon={<DiscoveryIcon />}
text={shouldNarrow ? undefined : Locale.Discovery.Name}
className={styles["sidebar-bar-button"]}
onClick={() => setShowPluginSelector(true)}
onClick={() => setshowDiscoverySelector(true)}
shadow
/>
</div>
{showPluginSelector && (
{showDiscoverySelector && (
<Selector
items={[
...PLUGINS.map((item) => {
...DISCOVERY.map((item) => {
return {
title: item.name,
value: item.path,
};
}),
]}
onClose={() => setShowPluginSelector(false)}
onClose={() => setshowDiscoverySelector(false)}
onSelection={(s) => {
navigate(s[0], { state: { fromHome: true } });
}}

17
app/config/server.ts
View File

@ -1,5 +1,6 @@
import md5 from "spark-md5";
import { DEFAULT_MODELS, DEFAULT_GA_ID } from "../constant";
import { isGPT4Model } from "../utils/model";
declare global {
namespace NodeJS {
@ -130,22 +131,12 @@ export const getServerSideConfig = () => {
if (disableGPT4) {
if (customModels) customModels += ",";
customModels += DEFAULT_MODELS.filter(
(m) =>
(m.name.startsWith("gpt-4") ||
m.name.startsWith("chatgpt-4o") ||
m.name.startsWith("o1")) &&
!m.name.startsWith("gpt-4o-mini"),
)
customModels += DEFAULT_MODELS.filter((m) => isGPT4Model(m.name))
.map((m) => "-" + m.name)
.join(",");
if (
(defaultModel.startsWith("gpt-4") ||
defaultModel.startsWith("chatgpt-4o") ||
defaultModel.startsWith("o1")) &&
!defaultModel.startsWith("gpt-4o-mini")
)
if (defaultModel && isGPT4Model(defaultModel)) {
defaultModel = "";
}
}
const isStability = !!process.env.STABILITY_API_KEY;

17
app/constant.ts
View File

@ -243,6 +243,8 @@ export const XAI = {
export const ChatGLM = {
ExampleEndpoint: CHATGLM_BASE_URL,
ChatPath: "api/paas/v4/chat/completions",
ImagePath: "api/paas/v4/images/generations",
VideoPath: "api/paas/v4/videos/generations",
};
export const DEFAULT_INPUT_TEMPLATE = `{{input}}`; // input / time / model / lang
@ -313,6 +315,7 @@ export const VISION_MODEL_REGEXES = [
/qwen2-vl/,
/gpt-4-turbo(?!.*preview)/, // Matches "gpt-4-turbo" but not "gpt-4-turbo-preview"
/^dall-e-3$/, // Matches exactly "dall-e-3"
/glm-4v/,
];
export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
@ -443,6 +446,15 @@ const chatglmModels = [
"glm-4-long",
"glm-4-flashx",
"glm-4-flash",
"glm-4v-plus",
"glm-4v",
"glm-4v-flash", // free
"cogview-3-plus",
"cogview-3",
"cogview-3-flash", // free
// 目前无法适配轮询任务
// "cogvideox",
// "cogvideox-flash", // free
];
let seq = 1000; // 内置的模型序号生成器从1000开始
@ -609,11 +621,6 @@ export const internalAllowedWebDavEndpoints = [
];
export const DEFAULT_GA_ID = "G-89WN60ZK2E";
export const PLUGINS = [
{ name: "Plugins", path: Path.Plugins },
{ name: "Stable Diffusion", path: Path.Sd },
{ name: "Search Chat", path: Path.SearchChat },
];
export const SAAS_CHAT_URL = "https://nextchat.dev/chat";
export const SAAS_CHAT_UTM_URL = "https://nextchat.dev/chat?utm=github";

4
app/locales/cn.ts
View File

@ -176,7 +176,7 @@ const cn = {
},
},
Lang: {
Name: "Language", // ATTENTION: if you wanna add a new translation, please do not translate this value, leave it as `Language`
Name: "Language", // 注意：如果要添加新的翻译，请不要翻译此值，将它保留为 `Language`
All: "所有语言",
},
Avatar: "头像",
@ -630,7 +630,7 @@ const cn = {
Sysmessage: "你是一个助手",
},
SearchChat: {
Name: "搜索",
Name: "搜索聊天记录",
Page: {
Title: "搜索聊天记录",
Search: "输入搜索关键词",

2
app/locales/tw.ts
View File

@ -485,7 +485,7 @@ const tw = {
},
},
SearchChat: {
Name: "搜尋",
Name: "搜尋聊天記錄",
Page: {
Title: "搜尋聊天記錄",
Search: "輸入搜尋關鍵詞",

4
app/store/config.ts
View File

@ -1,5 +1,5 @@
import { LLMModel } from "../client/api";
import { DalleSize, DalleQuality, DalleStyle } from "../typing";
import { DalleQuality, DalleStyle, ModelSize } from "../typing";
import { getClientConfig } from "../config/client";
import {
DEFAULT_INPUT_TEMPLATE,
@ -78,7 +78,7 @@ export const DEFAULT_CONFIG = {
compressProviderName: "",
enableInjectSystemPrompts: true,
template: config?.template ?? DEFAULT_INPUT_TEMPLATE,
size: "1024x1024" as DalleSize,
size: "1024x1024" as ModelSize,
quality: "standard" as DalleQuality,
style: "vivid" as DalleStyle,
},

11
app/typing.ts
View File

@ -11,3 +11,14 @@ export interface RequestMessage {
export type DalleSize = "1024x1024" | "1792x1024" | "1024x1792";
export type DalleQuality = "standard" | "hd";
export type DalleStyle = "vivid" | "natural";
export type ModelSize =
| "1024x1024"
| "1792x1024"
| "1024x1792"
| "768x1344"
| "864x1152"
| "1344x768"
| "1152x864"
| "1440x720"
| "720x1440";

23
app/utils.ts
View File

@ -7,6 +7,7 @@ import { ServiceProvider } from "./constant";
import { fetch as tauriStreamFetch } from "./utils/stream";
import { VISION_MODEL_REGEXES, EXCLUDE_VISION_MODEL_REGEXES } from "./constant";
import { getClientConfig } from "./config/client";
import { ModelSize } from "./typing";
export function trimTopic(topic: string) {
// Fix an issue where double quotes still show in the Indonesian language
@ -271,6 +272,28 @@ export function isDalle3(model: string) {
return "dall-e-3" === model;
}
export function getModelSizes(model: string): ModelSize[] {
if (isDalle3(model)) {
return ["1024x1024", "1792x1024", "1024x1792"];
}
if (model.toLowerCase().includes("cogview")) {
return [
"1024x1024",
"768x1344",
"864x1152",
"1344x768",
"1152x864",
"1440x720",
"720x1440",
];
}
return [];
}
export function supportsCustomSize(model: string): boolean {
return getModelSizes(model).length > 0;
}
export function showPlugins(provider: ServiceProvider, model: string) {
if (
provider == ServiceProvider.OpenAI ||

49
app/utils/model.ts
View File

@ -202,3 +202,52 @@ export function isModelAvailableInServer(
const modelTable = collectModelTable(DEFAULT_MODELS, customModels);
return modelTable[fullName]?.available === false;
}
/**
* Check if the model name is a GPT-4 related model
*
* @param modelName The name of the model to check
* @returns True if the model is a GPT-4 related model (excluding gpt-4o-mini)
*/
export function isGPT4Model(modelName: string): boolean {
return (
(modelName.startsWith("gpt-4") ||
modelName.startsWith("chatgpt-4o") ||
modelName.startsWith("o1")) &&
!modelName.startsWith("gpt-4o-mini")
);
}
/**
* Checks if a model is not available on any of the specified providers in the server.
*
* @param {string} customModels - A string of custom models, comma-separated.
* @param {string} modelName - The name of the model to check.
* @param {string|string[]} providerNames - A string or array of provider names to check against.
*
* @returns {boolean} True if the model is not available on any of the specified providers, false otherwise.
*/
export function isModelNotavailableInServer(
customModels: string,
modelName: string,
providerNames: string | string[],
): boolean {
// Check DISABLE_GPT4 environment variable
if (
process.env.DISABLE_GPT4 === "1" &&
isGPT4Model(modelName.toLowerCase())
) {
return true;
}
const modelTable = collectModelTable(DEFAULT_MODELS, customModels);
const providerNamesArray = Array.isArray(providerNames)
? providerNames
: [providerNames];
for (const providerName of providerNamesArray) {
const fullName = `${modelName}@${providerName.toLowerCase()}`;
if (modelTable?.[fullName]?.available === true) return false;
}
return true;
}

80
test/model-available.test.ts Normal file
View File

@ -0,0 +1,80 @@
import { isModelNotavailableInServer } from "../app/utils/model";
describe("isModelNotavailableInServer", () => {
test("test model will return false, which means the model is available", () => {
const customModels = "";
const modelName = "gpt-4";
const providerNames = "OpenAI";
const result = isModelNotavailableInServer(
customModels,
modelName,
providerNames,
);
expect(result).toBe(false);
});
test("test model will return true when model is not available in custom models", () => {
const customModels = "-all,gpt-4o-mini";
const modelName = "gpt-4";
const providerNames = "OpenAI";
const result = isModelNotavailableInServer(
customModels,
modelName,
providerNames,
);
expect(result).toBe(true);
});
test("should respect DISABLE_GPT4 setting", () => {
process.env.DISABLE_GPT4 = "1";
const result = isModelNotavailableInServer("", "gpt-4", "OpenAI");
expect(result).toBe(true);
});
test("should handle empty provider names", () => {
const result = isModelNotavailableInServer("-all,gpt-4", "gpt-4", "");
expect(result).toBe(true);
});
test("should be case insensitive for model names", () => {
const result = isModelNotavailableInServer("-all,GPT-4", "gpt-4", "OpenAI");
expect(result).toBe(true);
});
test("support passing multiple providers, model unavailable on one of the providers will return true", () => {
const customModels = "-all,gpt-4@google";
const modelName = "gpt-4";
const providerNames = ["OpenAI", "Azure"];
const result = isModelNotavailableInServer(
customModels,
modelName,
providerNames,
);
expect(result).toBe(true);
});
// FIXME: 这个测试用例有问题，需要修复
// test("support passing multiple providers, model available on one of the providers will return false", () => {
// const customModels = "-all,gpt-4@google";
// const modelName = "gpt-4";
// const providerNames = ["OpenAI", "Google"];
// const result = isModelNotavailableInServer(
// customModels,
// modelName,
// providerNames,
// );
// expect(result).toBe(false);
// });
test("test custom model without setting provider", () => {
const customModels = "-all,mistral-large";
const modelName = "mistral-large";
const providerNames = modelName;
const result = isModelNotavailableInServer(
customModels,
modelName,
providerNames,
);
expect(result).toBe(false);
});
});