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Merge pull request #4923 from ConnectAI-E/refactor-model-table
Refactor model table
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commit
c4a6c933f8
@ -4,12 +4,13 @@ import {
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Anthropic,
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ApiPath,
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DEFAULT_MODELS,
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ServiceProvider,
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ModelProvider,
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} from "@/app/constant";
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import { prettyObject } from "@/app/utils/format";
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import { NextRequest, NextResponse } from "next/server";
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import { auth } from "../../auth";
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import { collectModelTable } from "@/app/utils/model";
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import { isModelAvailableInServer } from "@/app/utils/model";
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const ALLOWD_PATH = new Set([Anthropic.ChatPath, Anthropic.ChatPath1]);
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@ -136,17 +137,19 @@ async function request(req: NextRequest) {
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// #1815 try to refuse some request to some models
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if (serverConfig.customModels && req.body) {
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try {
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const modelTable = collectModelTable(
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DEFAULT_MODELS,
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serverConfig.customModels,
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);
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const clonedBody = await req.text();
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fetchOptions.body = clonedBody;
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const jsonBody = JSON.parse(clonedBody) as { model?: string };
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// not undefined and is false
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if (modelTable[jsonBody?.model ?? ""].available === false) {
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if (
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isModelAvailableInServer(
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serverConfig.customModels,
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jsonBody?.model as string,
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ServiceProvider.Anthropic as string,
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)
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) {
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return NextResponse.json(
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{
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error: true,
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@ -1,7 +1,12 @@
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import { NextRequest, NextResponse } from "next/server";
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import { getServerSideConfig } from "../config/server";
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import { DEFAULT_MODELS, OPENAI_BASE_URL, GEMINI_BASE_URL } from "../constant";
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import { collectModelTable } from "../utils/model";
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import {
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DEFAULT_MODELS,
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OPENAI_BASE_URL,
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GEMINI_BASE_URL,
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ServiceProvider,
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} from "../constant";
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import { isModelAvailableInServer } from "../utils/model";
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import { makeAzurePath } from "../azure";
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const serverConfig = getServerSideConfig();
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@ -83,17 +88,24 @@ export async function requestOpenai(req: NextRequest) {
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// #1815 try to refuse gpt4 request
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if (serverConfig.customModels && req.body) {
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try {
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const modelTable = collectModelTable(
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DEFAULT_MODELS,
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serverConfig.customModels,
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);
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const clonedBody = await req.text();
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fetchOptions.body = clonedBody;
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const jsonBody = JSON.parse(clonedBody) as { model?: string };
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// not undefined and is false
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if (modelTable[jsonBody?.model ?? ""].available === false) {
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if (
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isModelAvailableInServer(
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serverConfig.customModels,
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jsonBody?.model as string,
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ServiceProvider.OpenAI as string,
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) ||
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isModelAvailableInServer(
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serverConfig.customModels,
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jsonBody?.model as string,
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ServiceProvider.Azure as string,
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)
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) {
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return NextResponse.json(
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{
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error: true,
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@ -129,7 +141,6 @@ export async function requestOpenai(req: NextRequest) {
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// to disable nginx buffering
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newHeaders.set("X-Accel-Buffering", "no");
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// Conditionally delete the OpenAI-Organization header from the response if [Org ID] is undefined or empty (not setup in ENV)
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// Also, this is to prevent the header from being sent to the client
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if (!serverConfig.openaiOrgId || serverConfig.openaiOrgId.trim() === "") {
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@ -142,7 +153,6 @@ export async function requestOpenai(req: NextRequest) {
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// The browser will try to decode the response with brotli and fail
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newHeaders.delete("content-encoding");
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return new Response(res.body, {
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status: res.status,
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statusText: res.statusText,
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@ -116,12 +116,12 @@ export const useAppConfig = createPersistStore(
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for (const model of oldModels) {
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model.available = false;
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modelMap[model.name] = model;
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modelMap[`${model.name}@${model?.provider?.id}`] = model;
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}
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for (const model of newModels) {
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model.available = true;
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modelMap[model.name] = model;
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modelMap[`${model.name}@${model?.provider?.id}`] = model;
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}
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set(() => ({
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@ -1,8 +1,9 @@
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import { DEFAULT_MODELS } from "../constant";
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import { LLMModel } from "../client/api";
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const customProvider = (modelName: string) => ({
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id: modelName,
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providerName: "",
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providerName: "Custom",
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providerType: "custom",
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});
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@ -23,7 +24,8 @@ export function collectModelTable(
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// default models
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models.forEach((m) => {
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modelTable[m.name] = {
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// using <modelName>@<providerId> as fullName
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modelTable[`${m.name}@${m?.provider?.id}`] = {
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...m,
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displayName: m.name, // 'provider' is copied over if it exists
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};
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@ -45,13 +47,28 @@ export function collectModelTable(
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(model) => (model.available = available),
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);
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} else {
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modelTable[name] = {
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// 1. find model by name(), and set available value
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let count = 0;
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for (const fullName in modelTable) {
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if (fullName.split("@").shift() == name) {
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count += 1;
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modelTable[fullName]["available"] = available;
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if (displayName) {
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modelTable[fullName]["displayName"] = displayName;
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}
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}
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}
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// 2. if model not exists, create new model with available value
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if (count === 0) {
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const provider = customProvider(name);
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modelTable[`${name}@${provider?.id}`] = {
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name,
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displayName: displayName || name,
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available,
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provider: modelTable[name]?.provider ?? customProvider(name), // Use optional chaining
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provider, // Use optional chaining
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};
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}
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}
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});
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return modelTable;
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@ -100,3 +117,13 @@ export function collectModelsWithDefaultModel(
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const allModels = Object.values(modelTable);
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return allModels;
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}
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export function isModelAvailableInServer(
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customModels: string,
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modelName: string,
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providerName: string,
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) {
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const fullName = `${modelName}@${providerName}`;
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const modelTable = collectModelTable(DEFAULT_MODELS, customModels);
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return modelTable[fullName]?.available === false;
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}
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