mirror of
https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
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Merge remote-tracking branch 'upstream/main'
# Conflicts: # app/api/auth.ts # app/api/common.ts # app/azure.ts # app/client/api.ts # app/client/platforms/openai.ts # app/components/chat.tsx # app/components/settings.tsx # app/constant.ts # app/layout.tsx # app/masks/index.ts # app/store/chat.ts # app/store/config.ts # app/utils/hooks.ts # app/utils/model.ts # package.json # yarn.lock
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@@ -9,12 +9,14 @@ import {
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DEFAULT_MODELS,
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DEFAULT_SYSTEM_TEMPLATE,
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KnowledgeCutOffDate,
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ServiceProvider,
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ModelProvider,
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StoreKey,
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SUMMARIZE_MODEL,
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GEMINI_SUMMARIZE_MODEL,
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} from "../constant";
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import {
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import { getClientApi } from "../client/api";
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import type {
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getHeaders,
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useGetMidjourneySelfProxyUrl,
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ClientApi,
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@@ -26,7 +28,6 @@ import { prettyObject } from "../utils/format";
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import { estimateTokenLength } from "../utils/token";
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import { nanoid } from "nanoid";
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import { createPersistStore } from "../utils/store";
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import { identifyDefaultClaudeModel } from "../utils/checkers";
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import { collectModelsWithDefaultModel } from "../utils/model";
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import { useAccessStore } from "./access";
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@@ -695,15 +696,7 @@ export const useChatStore = createPersistStore(
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set(() => ({}));
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extAttr?.setAutoScroll(true);
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} else {
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var api: ClientApi;
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if (modelConfig.model.startsWith("gemini")) {
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api = new ClientApi(ModelProvider.GeminiPro);
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} else if (identifyDefaultClaudeModel(modelConfig.model)) {
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api = new ClientApi(ModelProvider.Claude);
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} else {
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api = new ClientApi(ModelProvider.GPT);
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}
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const api: ClientApi = getClientApi(modelConfig.providerName);
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// make request
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api.llm.chat({
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messages: sendMessages,
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@@ -880,14 +873,7 @@ export const useChatStore = createPersistStore(
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const session = get().currentSession();
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const modelConfig = session.mask.modelConfig;
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var api: ClientApi;
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if (modelConfig.model.startsWith("gemini")) {
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api = new ClientApi(ModelProvider.GeminiPro);
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} else if (identifyDefaultClaudeModel(modelConfig.model)) {
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api = new ClientApi(ModelProvider.Claude);
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} else {
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api = new ClientApi(ModelProvider.GPT);
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}
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const api: ClientApi = getClientApi(modelConfig.providerName);
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// remove error messages if any
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const messages = session.messages;
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