mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 06:00:56 +02:00

* feat: update PaLM icons * feat: add additional google models * POC: formatting inputs for Vertex AI streaming * refactor: move endpoints services outside of /routes dir to /services/Endpoints * refactor: shorten schemas import * refactor: rename PALM to GOOGLE * feat: make Google editable endpoint * feat: reusable Ask and Edit controllers based off Anthropic * chore: organize imports/logic * fix(parseConvo): include examples in googleSchema * fix: google only allows odd number of messages to be sent * fix: pass proxy to AnthropicClient * refactor: change `google` altName to `Google` * refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values * refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases) * feat: google support for maxTokensMap * feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient * feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain * chore(GoogleClient): remove comments, left before for reference in git history * docs: update google instructions (WIP) * docs(apis_and_tokens.md): add images to google instructions * docs: remove typo apis_and_tokens.md * Update apis_and_tokens.md * feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models * chore: update more PaLM references to Google * chore: move playwright out of workflows to avoid failing tests
445 lines
11 KiB
JavaScript
445 lines
11 KiB
JavaScript
const { z } = require('zod');
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const EModelEndpoint = {
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azureOpenAI: 'azureOpenAI',
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openAI: 'openAI',
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bingAI: 'bingAI',
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chatGPTBrowser: 'chatGPTBrowser',
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google: 'google',
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gptPlugins: 'gptPlugins',
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anthropic: 'anthropic',
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assistant: 'assistant',
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};
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const alternateName = {
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[EModelEndpoint.openAI]: 'OpenAI',
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[EModelEndpoint.assistant]: 'Assistants',
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[EModelEndpoint.azureOpenAI]: 'Azure OpenAI',
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[EModelEndpoint.bingAI]: 'Bing',
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[EModelEndpoint.chatGPTBrowser]: 'ChatGPT',
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[EModelEndpoint.gptPlugins]: 'Plugins',
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[EModelEndpoint.google]: 'Google',
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[EModelEndpoint.anthropic]: 'Anthropic',
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};
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const endpointSettings = {
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[EModelEndpoint.google]: {
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model: {
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default: 'chat-bison',
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},
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maxOutputTokens: {
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min: 1,
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max: 2048,
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step: 1,
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default: 1024,
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},
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temperature: {
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min: 0,
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max: 1,
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step: 0.01,
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default: 0.2,
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},
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topP: {
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min: 0,
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max: 1,
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step: 0.01,
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default: 0.8,
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},
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topK: {
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min: 1,
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max: 40,
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step: 0.01,
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default: 40,
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},
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},
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};
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const google = endpointSettings[EModelEndpoint.google];
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const supportsFiles = {
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[EModelEndpoint.openAI]: true,
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[EModelEndpoint.assistant]: true,
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};
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const openAIModels = [
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'gpt-3.5-turbo-16k-0613',
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'gpt-3.5-turbo-16k',
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'gpt-4-1106-preview',
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'gpt-3.5-turbo',
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'gpt-3.5-turbo-1106',
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'gpt-4-vision-preview',
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'gpt-4',
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'gpt-3.5-turbo-instruct-0914',
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'gpt-3.5-turbo-0613',
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'gpt-3.5-turbo-0301',
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'gpt-3.5-turbo-instruct',
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'gpt-4-0613',
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'text-davinci-003',
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'gpt-4-0314',
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];
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const visionModels = ['gpt-4-vision', 'llava-13b'];
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const eModelEndpointSchema = z.nativeEnum(EModelEndpoint);
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const tPluginAuthConfigSchema = z.object({
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authField: z.string(),
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label: z.string(),
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description: z.string(),
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});
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const tPluginSchema = z.object({
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name: z.string(),
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pluginKey: z.string(),
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description: z.string(),
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icon: z.string(),
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authConfig: z.array(tPluginAuthConfigSchema),
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authenticated: z.boolean().optional(),
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isButton: z.boolean().optional(),
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});
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const tExampleSchema = z.object({
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input: z.object({
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content: z.string(),
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}),
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output: z.object({
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content: z.string(),
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}),
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});
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const tAgentOptionsSchema = z.object({
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agent: z.string(),
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skipCompletion: z.boolean(),
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model: z.string(),
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temperature: z.number(),
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});
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const tConversationSchema = z.object({
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conversationId: z.string().nullable(),
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title: z.string().nullable().or(z.literal('New Chat')).default('New Chat'),
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user: z.string().optional(),
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endpoint: eModelEndpointSchema.nullable(),
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suggestions: z.array(z.string()).optional(),
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messages: z.array(z.string()).optional(),
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tools: z.array(tPluginSchema).optional(),
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createdAt: z.string(),
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updatedAt: z.string(),
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systemMessage: z.string().nullable().optional(),
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modelLabel: z.string().nullable().optional(),
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examples: z.array(tExampleSchema).optional(),
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chatGptLabel: z.string().nullable().optional(),
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userLabel: z.string().optional(),
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model: z.string().nullable().optional(),
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promptPrefix: z.string().nullable().optional(),
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temperature: z.number().optional(),
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topP: z.number().optional(),
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topK: z.number().optional(),
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context: z.string().nullable().optional(),
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top_p: z.number().optional(),
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frequency_penalty: z.number().optional(),
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presence_penalty: z.number().optional(),
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jailbreak: z.boolean().optional(),
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jailbreakConversationId: z.string().nullable().optional(),
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conversationSignature: z.string().nullable().optional(),
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parentMessageId: z.string().optional(),
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clientId: z.string().nullable().optional(),
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invocationId: z.number().nullable().optional(),
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toneStyle: z.string().nullable().optional(),
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maxOutputTokens: z.number().optional(),
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agentOptions: tAgentOptionsSchema.nullable().optional(),
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});
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const openAISchema = tConversationSchema
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.pick({
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model: true,
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chatGptLabel: true,
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promptPrefix: true,
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temperature: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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})
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.transform((obj) => ({
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...obj,
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model: obj.model ?? 'gpt-3.5-turbo',
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chatGptLabel: obj.chatGptLabel ?? null,
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promptPrefix: obj.promptPrefix ?? null,
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temperature: obj.temperature ?? 1,
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top_p: obj.top_p ?? 1,
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presence_penalty: obj.presence_penalty ?? 0,
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frequency_penalty: obj.frequency_penalty ?? 0,
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}))
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.catch(() => ({
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model: 'gpt-3.5-turbo',
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chatGptLabel: null,
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promptPrefix: null,
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temperature: 1,
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top_p: 1,
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presence_penalty: 0,
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frequency_penalty: 0,
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}));
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const googleSchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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promptPrefix: true,
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examples: true,
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temperature: true,
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maxOutputTokens: true,
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topP: true,
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topK: true,
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})
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.transform((obj) => ({
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...obj,
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model: obj.model ?? google.model.default,
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modelLabel: obj.modelLabel ?? null,
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promptPrefix: obj.promptPrefix ?? null,
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examples: obj.examples ?? [{ input: { content: '' }, output: { content: '' } }],
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temperature: obj.temperature ?? google.temperature.default,
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maxOutputTokens: obj.maxOutputTokens ?? google.maxOutputTokens.default,
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topP: obj.topP ?? google.topP.default,
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topK: obj.topK ?? google.topK.default,
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}))
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.catch(() => ({
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model: google.model.default,
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modelLabel: null,
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promptPrefix: null,
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examples: [{ input: { content: '' }, output: { content: '' } }],
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temperature: google.temperature.default,
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maxOutputTokens: google.maxOutputTokens.default,
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topP: google.topP.default,
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topK: google.topK.default,
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}));
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const bingAISchema = tConversationSchema
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.pick({
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jailbreak: true,
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systemMessage: true,
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context: true,
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toneStyle: true,
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jailbreakConversationId: true,
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conversationSignature: true,
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clientId: true,
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invocationId: true,
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})
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.transform((obj) => ({
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...obj,
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model: '',
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jailbreak: obj.jailbreak ?? false,
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systemMessage: obj.systemMessage ?? null,
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context: obj.context ?? null,
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toneStyle: obj.toneStyle ?? 'creative',
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jailbreakConversationId: obj.jailbreakConversationId ?? null,
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conversationSignature: obj.conversationSignature ?? null,
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clientId: obj.clientId ?? null,
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invocationId: obj.invocationId ?? 1,
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}))
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.catch(() => ({
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model: '',
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jailbreak: false,
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systemMessage: null,
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context: null,
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toneStyle: 'creative',
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jailbreakConversationId: null,
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conversationSignature: null,
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clientId: null,
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invocationId: 1,
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}));
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const anthropicSchema = tConversationSchema
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.pick({
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model: true,
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modelLabel: true,
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promptPrefix: true,
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temperature: true,
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maxOutputTokens: true,
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topP: true,
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topK: true,
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})
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.transform((obj) => ({
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...obj,
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model: obj.model ?? 'claude-1',
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modelLabel: obj.modelLabel ?? null,
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promptPrefix: obj.promptPrefix ?? null,
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temperature: obj.temperature ?? 1,
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maxOutputTokens: obj.maxOutputTokens ?? 4000,
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topP: obj.topP ?? 0.7,
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topK: obj.topK ?? 5,
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}))
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.catch(() => ({
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model: 'claude-1',
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modelLabel: null,
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promptPrefix: null,
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temperature: 1,
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maxOutputTokens: 4000,
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topP: 0.7,
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topK: 5,
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}));
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const chatGPTBrowserSchema = tConversationSchema
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.pick({
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model: true,
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})
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.transform((obj) => ({
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...obj,
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model: obj.model ?? 'text-davinci-002-render-sha',
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}))
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.catch(() => ({
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model: 'text-davinci-002-render-sha',
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}));
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const gptPluginsSchema = tConversationSchema
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.pick({
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model: true,
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chatGptLabel: true,
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promptPrefix: true,
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temperature: true,
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top_p: true,
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presence_penalty: true,
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frequency_penalty: true,
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tools: true,
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agentOptions: true,
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})
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.transform((obj) => ({
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...obj,
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model: obj.model ?? 'gpt-3.5-turbo',
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chatGptLabel: obj.chatGptLabel ?? null,
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promptPrefix: obj.promptPrefix ?? null,
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temperature: obj.temperature ?? 0.8,
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top_p: obj.top_p ?? 1,
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presence_penalty: obj.presence_penalty ?? 0,
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frequency_penalty: obj.frequency_penalty ?? 0,
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tools: obj.tools ?? [],
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agentOptions: obj.agentOptions ?? {
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agent: 'functions',
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skipCompletion: true,
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model: 'gpt-3.5-turbo',
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temperature: 0,
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},
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}))
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.catch(() => ({
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model: 'gpt-3.5-turbo',
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chatGptLabel: null,
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promptPrefix: null,
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temperature: 0.8,
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top_p: 1,
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presence_penalty: 0,
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frequency_penalty: 0,
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tools: [],
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agentOptions: {
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agent: 'functions',
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skipCompletion: true,
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model: 'gpt-3.5-turbo',
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temperature: 0,
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},
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}));
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const assistantSchema = tConversationSchema
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.pick({
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model: true,
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assistant_id: true,
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thread_id: true,
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})
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.transform((obj) => {
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const newObj = { ...obj };
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Object.keys(newObj).forEach((key) => {
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const value = newObj[key];
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if (value === undefined || value === null) {
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delete newObj[key];
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}
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});
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return newObj;
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})
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.catch(() => ({}));
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const endpointSchemas = {
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[EModelEndpoint.openAI]: openAISchema,
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[EModelEndpoint.assistant]: assistantSchema,
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[EModelEndpoint.azureOpenAI]: openAISchema,
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[EModelEndpoint.google]: googleSchema,
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[EModelEndpoint.bingAI]: bingAISchema,
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[EModelEndpoint.anthropic]: anthropicSchema,
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[EModelEndpoint.chatGPTBrowser]: chatGPTBrowserSchema,
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[EModelEndpoint.gptPlugins]: gptPluginsSchema,
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};
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function getFirstDefinedValue(possibleValues) {
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let returnValue;
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for (const value of possibleValues) {
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if (value) {
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returnValue = value;
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break;
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}
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}
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return returnValue;
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}
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const parseConvo = (endpoint, conversation, possibleValues) => {
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const schema = endpointSchemas[endpoint];
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if (!schema) {
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throw new Error(`Unknown endpoint: ${endpoint}`);
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}
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const convo = schema.parse(conversation);
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if (possibleValues && convo) {
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convo.model = getFirstDefinedValue(possibleValues.model) ?? convo.model;
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}
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return convo;
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};
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const getResponseSender = (endpointOption) => {
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const { model, endpoint, chatGptLabel, modelLabel, jailbreak } = endpointOption;
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if (
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[
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EModelEndpoint.openAI,
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EModelEndpoint.azureOpenAI,
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EModelEndpoint.gptPlugins,
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EModelEndpoint.chatGPTBrowser,
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].includes(endpoint)
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) {
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if (chatGptLabel) {
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return chatGptLabel;
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} else if (model && model.includes('gpt-3')) {
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return 'GPT-3.5';
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} else if (model && model.includes('gpt-4')) {
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return 'GPT-4';
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}
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return alternateName[endpoint] ?? 'ChatGPT';
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}
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if (endpoint === EModelEndpoint.bingAI) {
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return jailbreak ? 'Sydney' : 'BingAI';
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}
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if (endpoint === EModelEndpoint.anthropic) {
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return modelLabel ?? 'Claude';
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}
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if (endpoint === EModelEndpoint.google) {
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if (modelLabel) {
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return modelLabel;
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} else if (model && model.includes('code')) {
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return 'Codey';
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}
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return 'PaLM2';
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}
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return '';
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};
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module.exports = {
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parseConvo,
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getResponseSender,
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EModelEndpoint,
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supportsFiles,
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openAIModels,
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visionModels,
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alternateName,
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endpointSettings,
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};
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