mirror of
https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
synced 2025-10-12 13:03:43 +08:00
Merge feature/update-bedrock-api into main
This commit is contained in:
@@ -143,6 +143,7 @@ export class QwenApi implements LLMApi {
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let responseText = "";
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let remainText = "";
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let finished = false;
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let responseRes: Response;
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// animate response to make it looks smooth
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function animateResponseText() {
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@@ -172,7 +173,7 @@ export class QwenApi implements LLMApi {
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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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options.onFinish(responseText + remainText, responseRes);
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}
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};
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@@ -188,6 +189,7 @@ export class QwenApi implements LLMApi {
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"[Alibaba] request response content type: ",
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contentType,
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);
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responseRes = res;
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if (contentType?.startsWith("text/plain")) {
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responseText = await res.clone().text();
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@@ -254,7 +256,7 @@ export class QwenApi implements LLMApi {
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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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options.onFinish(message, res);
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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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@@ -317,13 +317,14 @@ export class ClaudeApi implements LLMApi {
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};
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try {
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controller.signal.onabort = () => options.onFinish("");
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controller.signal.onabort = () =>
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options.onFinish("", new Response(null, { status: 400 }));
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const res = await fetch(path, payload);
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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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options.onFinish(message, res);
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} catch (e) {
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console.error("failed to chat", e);
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options.onError?.(e as Error);
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@@ -162,6 +162,7 @@ export class ErnieApi implements LLMApi {
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let responseText = "";
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let remainText = "";
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let finished = false;
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let responseRes: Response;
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// animate response to make it looks smooth
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function animateResponseText() {
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@@ -191,7 +192,7 @@ export class ErnieApi implements LLMApi {
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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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options.onFinish(responseText + remainText, responseRes);
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}
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};
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@@ -204,7 +205,7 @@ export class ErnieApi implements LLMApi {
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clearTimeout(requestTimeoutId);
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const contentType = res.headers.get("content-type");
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console.log("[Baidu] request response content type: ", contentType);
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responseRes = res;
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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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@@ -267,7 +268,7 @@ export class ErnieApi implements LLMApi {
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const resJson = await res.json();
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const message = resJson?.result;
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options.onFinish(message);
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options.onFinish(message, res);
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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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@@ -130,6 +130,7 @@ export class DoubaoApi implements LLMApi {
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let responseText = "";
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let remainText = "";
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let finished = false;
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let responseRes: Response;
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// animate response to make it looks smooth
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function animateResponseText() {
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@@ -159,7 +160,7 @@ export class DoubaoApi implements LLMApi {
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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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options.onFinish(responseText + remainText, responseRes);
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}
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};
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@@ -175,7 +176,7 @@ export class DoubaoApi implements LLMApi {
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"[ByteDance] request response content type: ",
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contentType,
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);
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responseRes = res;
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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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@@ -241,7 +242,7 @@ export class DoubaoApi implements LLMApi {
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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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options.onFinish(message, res);
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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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197
app/client/platforms/glm.ts
Normal file
197
app/client/platforms/glm.ts
Normal file
@@ -0,0 +1,197 @@
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"use client";
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import {
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ApiPath,
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CHATGLM_BASE_URL,
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ChatGLM,
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REQUEST_TIMEOUT_MS,
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} from "@/app/constant";
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import {
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useAccessStore,
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useAppConfig,
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useChatStore,
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ChatMessageTool,
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usePluginStore,
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} from "@/app/store";
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import { stream } from "@/app/utils/chat";
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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 { getClientConfig } from "@/app/config/client";
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import { getMessageTextContent } from "@/app/utils";
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import { RequestPayload } from "./openai";
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import { fetch } from "@/app/utils/stream";
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export class ChatGLMApi 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.chatglmUrl;
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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.ChatGLM;
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baseUrl = isApp ? CHATGLM_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.ChatGLM)) {
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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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};
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console.log("[Request] glm 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(ChatGLM.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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const [tools, funcs] = usePluginStore
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.getState()
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.getAsTools(
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useChatStore.getState().currentSession().mask?.plugin || [],
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);
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return stream(
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chatPath,
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requestPayload,
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getHeaders(),
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tools as any,
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funcs,
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controller,
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// parseSSE
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(text: string, runTools: ChatMessageTool[]) => {
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// console.log("parseSSE", text, runTools);
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const json = JSON.parse(text);
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const choices = json.choices as Array<{
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delta: {
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content: string;
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tool_calls: ChatMessageTool[];
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};
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}>;
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const tool_calls = choices[0]?.delta?.tool_calls;
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if (tool_calls?.length > 0) {
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const index = tool_calls[0]?.index;
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const id = tool_calls[0]?.id;
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const args = tool_calls[0]?.function?.arguments;
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if (id) {
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runTools.push({
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id,
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type: tool_calls[0]?.type,
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function: {
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name: tool_calls[0]?.function?.name as string,
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arguments: args,
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},
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});
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} else {
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// @ts-ignore
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runTools[index]["function"]["arguments"] += args;
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}
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}
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return choices[0]?.delta?.content;
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},
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// processToolMessage, include tool_calls message and tool call results
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(
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requestPayload: RequestPayload,
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toolCallMessage: any,
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toolCallResult: any[],
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) => {
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// @ts-ignore
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requestPayload?.messages?.splice(
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// @ts-ignore
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requestPayload?.messages?.length,
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0,
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toolCallMessage,
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...toolCallResult,
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);
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},
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options,
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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, res);
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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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@@ -274,7 +274,7 @@ export class GeminiProApi implements LLMApi {
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);
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}
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const message = apiClient.extractMessage(resJson);
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options.onFinish(message);
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options.onFinish(message, res);
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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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@@ -117,6 +117,7 @@ export class SparkApi implements LLMApi {
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let responseText = "";
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let remainText = "";
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let finished = false;
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let responseRes: Response;
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// Animate response text to make it look smooth
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function animateResponseText() {
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@@ -143,7 +144,7 @@ export class SparkApi implements LLMApi {
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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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options.onFinish(responseText + remainText, responseRes);
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}
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};
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@@ -156,7 +157,7 @@ export class SparkApi implements LLMApi {
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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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responseRes = res;
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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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@@ -231,7 +232,7 @@ export class SparkApi implements LLMApi {
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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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options.onFinish(message, res);
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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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@@ -180,7 +180,7 @@ export class MoonshotApi implements LLMApi {
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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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options.onFinish(message, res);
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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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|
@@ -361,7 +361,7 @@ export class ChatGPTApi implements LLMApi {
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const resJson = await res.json();
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const message = await this.extractMessage(resJson);
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options.onFinish(message);
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options.onFinish(message, res);
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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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|
@@ -142,6 +142,7 @@ export class HunyuanApi implements LLMApi {
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let responseText = "";
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let remainText = "";
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let finished = false;
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let responseRes: Response;
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// animate response to make it looks smooth
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function animateResponseText() {
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@@ -171,7 +172,7 @@ export class HunyuanApi implements LLMApi {
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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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options.onFinish(responseText + remainText, responseRes);
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}
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};
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@@ -187,7 +188,7 @@ export class HunyuanApi implements LLMApi {
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"[Tencent] request response content type: ",
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contentType,
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);
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responseRes = res;
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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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@@ -253,7 +254,7 @@ export class HunyuanApi implements LLMApi {
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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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options.onFinish(message, res);
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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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|
@@ -173,7 +173,7 @@ export class XAIApi implements LLMApi {
|
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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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options.onFinish(message, res);
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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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|
Reference in New Issue
Block a user