mirror of
https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
synced 2025-11-16 22:13:47 +08:00
Merge remote-tracking branch 'upstream/main'
# Conflicts: # app/layout.tsx # package.json # yarn.lock
This commit is contained in:
@@ -9,6 +9,7 @@ import { prettyObject } from "@/app/utils/format";
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import { getClientConfig } from "@/app/config/client";
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import Locale from "../../locales";
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import { getServerSideConfig } from "@/app/config/server";
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import de from "@/app/locales/de";
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export class GeminiProApi implements LLMApi {
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extractMessage(res: any) {
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console.log("[Response] gemini-pro response: ", res);
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@@ -20,6 +21,7 @@ export class GeminiProApi implements LLMApi {
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);
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}
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async chat(options: ChatOptions): Promise<void> {
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const apiClient = this;
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const messages = options.messages.map((v) => ({
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role: v.role.replace("assistant", "model").replace("system", "user"),
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parts: [{ text: v.content }],
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@@ -57,12 +59,29 @@ export class GeminiProApi implements LLMApi {
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topP: modelConfig.top_p,
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// "topK": modelConfig.top_k,
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},
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safetySettings: [
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{
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category: "HARM_CATEGORY_HARASSMENT",
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threshold: "BLOCK_ONLY_HIGH",
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},
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{
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category: "HARM_CATEGORY_HATE_SPEECH",
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threshold: "BLOCK_ONLY_HIGH",
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},
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{
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category: "HARM_CATEGORY_SEXUALLY_EXPLICIT",
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threshold: "BLOCK_ONLY_HIGH",
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},
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{
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category: "HARM_CATEGORY_DANGEROUS_CONTENT",
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threshold: "BLOCK_ONLY_HIGH",
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},
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],
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};
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console.log("[Request] google payload: ", requestPayload);
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// todo: support stream later
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const shouldStream = false;
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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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@@ -82,13 +101,23 @@ export class GeminiProApi implements LLMApi {
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if (shouldStream) {
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let responseText = "";
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let remainText = "";
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let streamChatPath = chatPath.replace(
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"generateContent",
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"streamGenerateContent",
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);
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let finished = false;
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let existingTexts: string[] = [];
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const finish = () => {
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finished = true;
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options.onFinish(existingTexts.join(""));
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};
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// animate response to make it looks 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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finish();
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return;
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}
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@@ -105,88 +134,56 @@ export class GeminiProApi implements LLMApi {
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// start animaion
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animateResponseText();
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fetch(streamChatPath, chatPayload)
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.then((response) => {
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const reader = response?.body?.getReader();
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const decoder = new TextDecoder();
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let partialData = "";
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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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return reader?.read().then(function processText({
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done,
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value,
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}): Promise<any> {
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if (done) {
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console.log("Stream complete");
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// options.onFinish(responseText + remainText);
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finished = true;
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return Promise.resolve();
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}
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controller.signal.onabort = finish;
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partialData += decoder.decode(value, { stream: true });
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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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let data = JSON.parse(ensureProperEnding(partialData));
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if (res.status === 401) {
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responseTexts.push(Locale.Error.Unauthorized);
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const textArray = data.reduce(
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(acc: string[], item: { candidates: any[] }) => {
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const texts = item.candidates.map((candidate) =>
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candidate.content.parts
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.map((part: { text: any }) => part.text)
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.join(""),
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);
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return acc.concat(texts);
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},
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[],
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);
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if (textArray.length > existingTexts.length) {
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const deltaArray = textArray.slice(existingTexts.length);
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existingTexts = textArray;
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remainText += deltaArray.join("");
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}
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} catch (error) {
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// console.log("[Response Animation] error: ", error,partialData);
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// skip error message when parsing json
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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) as {
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choices: Array<{
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delta: {
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content: string;
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};
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}>;
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};
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const delta = json.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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}
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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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return reader.read().then(processText);
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});
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})
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.catch((error) => {
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console.error("Error:", error);
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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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@@ -220,3 +217,10 @@ export class GeminiProApi implements LLMApi {
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return "/api/google/" + path;
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}
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}
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function ensureProperEnding(str: string) {
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if (str.startsWith("[") && !str.endsWith("]")) {
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return str + "]";
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}
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return str;
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}
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