mirror of
https://github.com/Yidadaa/ChatGPT-Next-Web.git
synced 2025-08-09 03:11:47 +08:00
feat: add multi-model support
This commit is contained in:
Yidadaa
@@ -1,281 +0,0 @@
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import {
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DEFAULT_API_HOST,
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DEFAULT_MODELS,
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OpenaiPath,
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REQUEST_TIMEOUT_MS,
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} from "@/app/constant";
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import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
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import { ChatOptions, getHeaders, LLMApi, LLMModel, LLMUsage } from "../api";
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import Locale from "../../locales";
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import {
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EventStreamContentType,
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fetchEventSource,
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} from "@fortaine/fetch-event-source";
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import { prettyObject } from "@/app/utils/format";
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import { getClientConfig } from "@/app/config/client";
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export interface OpenAIListModelResponse {
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object: string;
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data: Array<{
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id: string;
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object: string;
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root: string;
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}>;
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}
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export class ChatGPTApi implements LLMApi {
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private disableListModels = true;
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path(path: string): string {
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let openaiUrl = useAccessStore.getState().openaiUrl;
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const apiPath = "/api/openai";
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if (openaiUrl.length === 0) {
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const isApp = !!getClientConfig()?.isApp;
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openaiUrl = isApp ? DEFAULT_API_HOST : apiPath;
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}
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if (openaiUrl.endsWith("/")) {
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openaiUrl = openaiUrl.slice(0, openaiUrl.length - 1);
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}
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if (!openaiUrl.startsWith("http") && !openaiUrl.startsWith(apiPath)) {
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openaiUrl = "https://" + openaiUrl;
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}
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return [openaiUrl, path].join("/");
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}
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extractMessage(res: any) {
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return res.choices?.at(0)?.message?.content ?? "";
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}
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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: v.content,
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}));
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const modelConfig = {
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...useAppConfig.getState().modelConfig,
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...useChatStore.getState().currentSession().mask.modelConfig,
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...{
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model: options.config.model,
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},
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};
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const requestPayload = {
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messages,
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stream: options.config.stream,
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model: modelConfig.model,
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temperature: modelConfig.temperature,
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presence_penalty: modelConfig.presence_penalty,
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frequency_penalty: modelConfig.frequency_penalty,
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top_p: modelConfig.top_p,
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};
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console.log("[Request] openai payload: ", requestPayload);
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const shouldStream = !!options.config.stream;
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const controller = new AbortController();
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options.onController?.(controller);
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try {
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const chatPath = this.path(OpenaiPath.ChatPath);
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const chatPayload = {
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method: "POST",
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body: JSON.stringify(requestPayload),
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signal: controller.signal,
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headers: getHeaders(),
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};
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// make a fetch request
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const requestTimeoutId = setTimeout(
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() => controller.abort(),
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REQUEST_TIMEOUT_MS,
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);
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if (shouldStream) {
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let responseText = "";
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let finished = false;
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const finish = () => {
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if (!finished) {
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options.onFinish(responseText);
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finished = true;
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}
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};
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controller.signal.onabort = finish;
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fetchEventSource(chatPath, {
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...chatPayload,
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async onopen(res) {
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clearTimeout(requestTimeoutId);
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const contentType = res.headers.get("content-type");
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console.log(
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"[OpenAI] request response content type: ",
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contentType,
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);
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if (contentType?.startsWith("text/plain")) {
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responseText = await res.clone().text();
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return finish();
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}
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if (
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!res.ok ||
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!res.headers
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.get("content-type")
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?.startsWith(EventStreamContentType) ||
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res.status !== 200
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) {
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const responseTexts = [responseText];
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let extraInfo = await res.clone().text();
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try {
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const resJson = await res.clone().json();
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extraInfo = prettyObject(resJson);
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} catch {}
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if (res.status === 401) {
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responseTexts.push(Locale.Error.Unauthorized);
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}
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if (extraInfo) {
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responseTexts.push(extraInfo);
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}
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responseText = responseTexts.join("\n\n");
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return finish();
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}
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},
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onmessage(msg) {
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if (msg.data === "[DONE]" || finished) {
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return finish();
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}
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const text = msg.data;
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try {
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const json = JSON.parse(text);
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const delta = json.choices[0].delta.content;
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if (delta) {
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responseText += delta;
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options.onUpdate?.(responseText, delta);
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}
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} catch (e) {
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console.error("[Request] parse error", text, msg);
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}
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},
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onclose() {
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finish();
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},
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onerror(e) {
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options.onError?.(e);
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throw e;
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},
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openWhenHidden: true,
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});
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} else {
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const res = await fetch(chatPath, chatPayload);
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clearTimeout(requestTimeoutId);
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const resJson = await res.json();
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const message = this.extractMessage(resJson);
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options.onFinish(message);
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}
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} catch (e) {
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console.log("[Request] failed to make a chat request", e);
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options.onError?.(e as Error);
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}
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}
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async usage() {
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const formatDate = (d: Date) =>
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`${d.getFullYear()}-${(d.getMonth() + 1).toString().padStart(2, "0")}-${d
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.getDate()
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.toString()
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.padStart(2, "0")}`;
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const ONE_DAY = 1 * 24 * 60 * 60 * 1000;
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const now = new Date();
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const startOfMonth = new Date(now.getFullYear(), now.getMonth(), 1);
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const startDate = formatDate(startOfMonth);
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const endDate = formatDate(new Date(Date.now() + ONE_DAY));
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const [used, subs] = await Promise.all([
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fetch(
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this.path(
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`${OpenaiPath.UsagePath}?start_date=${startDate}&end_date=${endDate}`,
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),
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{
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method: "GET",
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headers: getHeaders(),
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},
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),
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fetch(this.path(OpenaiPath.SubsPath), {
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method: "GET",
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headers: getHeaders(),
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}),
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]);
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if (used.status === 401) {
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throw new Error(Locale.Error.Unauthorized);
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}
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if (!used.ok || !subs.ok) {
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throw new Error("Failed to query usage from openai");
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}
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const response = (await used.json()) as {
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total_usage?: number;
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error?: {
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type: string;
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message: string;
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};
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};
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const total = (await subs.json()) as {
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hard_limit_usd?: number;
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};
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if (response.error && response.error.type) {
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throw Error(response.error.message);
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}
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if (response.total_usage) {
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response.total_usage = Math.round(response.total_usage) / 100;
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}
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if (total.hard_limit_usd) {
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total.hard_limit_usd = Math.round(total.hard_limit_usd * 100) / 100;
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}
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return {
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used: response.total_usage,
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total: total.hard_limit_usd,
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} as LLMUsage;
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}
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async models(): Promise<LLMModel[]> {
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if (this.disableListModels) {
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return DEFAULT_MODELS.slice();
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}
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const res = await fetch(this.path(OpenaiPath.ListModelPath), {
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method: "GET",
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headers: {
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...getHeaders(),
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},
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});
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const resJson = (await res.json()) as OpenAIListModelResponse;
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const chatModels = resJson.data?.filter((m) => m.id.startsWith("gpt-"));
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console.log("[Models]", chatModels);
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if (!chatModels) {
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return [];
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}
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return chatModels.map((m) => ({
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name: m.id,
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available: true,
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}));
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}
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}
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export { OpenaiPath };
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