253 lines
7.0 KiB
TypeScript
253 lines
7.0 KiB
TypeScript
"use client";
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import {
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ApiPath,
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IFLYTEK_BASE_URL,
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Iflytek,
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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 {
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ChatOptions,
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getHeaders,
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LLMApi,
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LLMModel,
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SpeechOptions,
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} 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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import { getMessageTextContent } from "@/app/utils";
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import { fetch } from "@/app/utils/stream";
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import { RequestPayload } from "./openai";
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export class SparkApi implements LLMApi {
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private disableListModels = true;
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path(path: string): string {
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const accessStore = useAccessStore.getState();
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let baseUrl = "";
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if (accessStore.useCustomConfig) {
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baseUrl = accessStore.iflytekUrl;
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}
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if (baseUrl.length === 0) {
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const isApp = !!getClientConfig()?.isApp;
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const apiPath = ApiPath.Iflytek;
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baseUrl = isApp ? IFLYTEK_BASE_URL : apiPath;
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}
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if (baseUrl.endsWith("/")) {
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baseUrl = baseUrl.slice(0, baseUrl.length - 1);
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}
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if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.Iflytek)) {
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baseUrl = "https://" + baseUrl;
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}
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console.log("[Proxy Endpoint] ", baseUrl, path);
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return [baseUrl, 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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speech(options: SpeechOptions): Promise<ArrayBuffer> {
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throw new Error("Method not implemented.");
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}
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async chat(options: ChatOptions) {
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const messages: ChatOptions["messages"] = [];
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for (const v of options.messages) {
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const content = getMessageTextContent(v);
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messages.push({ role: v.role, 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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providerName: options.config.providerName,
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},
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};
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const requestPayload: 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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// max_tokens: Math.max(modelConfig.max_tokens, 1024),
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// Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
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};
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console.log("[Request] Spark 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(Iflytek.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 remainText = "";
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let finished = false;
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// Animate response text to make it look smooth
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function animateResponseText() {
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if (finished || controller.signal.aborted) {
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responseText += remainText;
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console.log("[Response Animation] finished");
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return;
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}
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if (remainText.length > 0) {
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const fetchCount = Math.max(1, Math.round(remainText.length / 60));
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const fetchText = remainText.slice(0, fetchCount);
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responseText += fetchText;
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remainText = remainText.slice(fetchCount);
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options.onUpdate?.(responseText, fetchText);
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}
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requestAnimationFrame(animateResponseText);
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}
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// Start animation
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animateResponseText();
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const finish = () => {
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if (!finished) {
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finished = true;
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options.onFinish(responseText + remainText);
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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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fetch: fetch as any,
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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("[Spark] request response content type: ", contentType);
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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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// Handle different error scenarios
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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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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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extraInfo = Locale.Error.Unauthorized;
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}
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options.onError?.(
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new Error(
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`Request failed with status ${res.status}: ${extraInfo}`,
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),
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);
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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 choices = json.choices as Array<{
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delta: { content: string };
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}>;
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const delta = choices[0]?.delta?.content;
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if (delta) {
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remainText += delta;
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}
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} catch (e) {
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console.error("[Request] parse error", text);
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options.onError?.(new Error(`Failed to parse response: ${text}`));
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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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if (!res.ok) {
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const errorText = await res.text();
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options.onError?.(
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new Error(`Request failed with status ${res.status}: ${errorText}`),
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);
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return;
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}
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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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return {
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used: 0,
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total: 0,
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};
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}
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async models(): Promise<LLMModel[]> {
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return [];
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}
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}
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