mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-02-13 21:14:24 +01:00
🤖 feat: Model Specs & Save Tools per Convo/Preset (#2578)
* WIP: first pass ModelSpecs * refactor(onSelectEndpoint): use `getConvoSwitchLogic` * feat: introduce iconURL, greeting, frontend fields for conversations/presets/messages * feat: conversation.iconURL & greeting in Landing * feat: conversation.iconURL & greeting in New Chat button * feat: message.iconURL * refactor: ConversationIcon -> ConvoIconURL * WIP: add spec as a conversation field * refactor: useAppStartup, set spec on initial load for new chat, allow undefined spec, add localStorage keys enum, additional type fields for spec * feat: handle `showIconInMenu`, `showIconInHeader`, undefined `iconURL` and no specs on initial load * chore: handle undefined or empty modelSpecs * WIP: first pass, modelSpec schema for custom config * refactor: move default filtered tools definition to ToolService * feat: pass modelSpecs from backend via startupConfig * refactor: modelSpecs config, return and define list * fix: react error and include iconURL in responseMessage * refactor: add iconURL to responseMessage only * refactor: getIconEndpoint * refactor: pass TSpecsConfig * fix(assistants): differentiate compactAssistantSchema, correctly resets shared conversation state with other endpoints * refactor: assistant id prefix localStorage key * refactor: add more LocalStorageKeys and replace hardcoded values * feat: prioritize spec on new chat behavior: last selected modelSpec behavior (localStorage) * feat: first pass, interface config * chore: WIP, todo: add warnings based on config.modelSpecs settings. * feat: enforce modelSpecs if configured * feat: show config file yaml errors * chore: delete unused legacy Plugins component * refactor: set tools to localStorage from recoil store * chore: add stable recoil setter to useEffect deps * refactor: save tools to conversation documents * style(MultiSelectPop): dynamic height, remove unused import * refactor(react-query): use localstorage keys and pass config to useAvailablePluginsQuery * feat(utils): add mapPlugins * refactor(Convo): use conversation.tools if defined, lastSelectedTools if not * refactor: remove unused legacy code using `useSetOptions`, remove conditional flag `isMultiChat` for using legacy settings * refactor(PluginStoreDialog): add exhaustive-deps which are stable react state setters * fix(HeaderOptions): pass `popover` as true * refactor(useSetStorage): use project enums * refactor: use LocalStorageKeys enum * fix: prevent setConversation from setting falsy values in lastSelectedTools * refactor: use map for availableTools state and available Plugins query * refactor(updateLastSelectedModel): organize logic better and add note on purpose * fix(setAgentOption): prevent reseting last model to secondary model for gptPlugins * refactor(buildDefaultConvo): use enum * refactor: remove `useSetStorage` and consolidate areas where conversation state is saved to localStorage * fix: conversations retain tools on refresh * fix(gptPlugins): prevent nullish tools from being saved * chore: delete useServerStream * refactor: move initial plugins logic to useAppStartup * refactor(MultiSelectDropDown): add more pass-in className props * feat: use tools in presets * chore: delete unused usePresetOptions * refactor: new agentOptions default handling * chore: note * feat: add label and custom instructions to agents * chore: remove 'disabled with tools' message * style: move plugins to 2nd column in parameters * fix: TPreset type for agentOptions * fix: interface controls * refactor: add interfaceConfig, use Separator within Switcher * refactor: hide Assistants panel if interface.parameters are disabled * fix(Header): only modelSpecs if list is greater than 0 * refactor: separate MessageIcon logic from useMessageHelpers for better react rule-following * fix(AppService): don't use reserved keyword 'interface' * feat: set existing Icon for custom endpoints through iconURL * fix(ci): tests passing for App Service * docs: refactor custom_config.md for readability and better organization, also include missing values * docs: interface section and re-organize docs * docs: update modelSpecs info * chore: remove unused files * chore: remove unused files * chore: move useSetIndexOptions * chore: remove unused file * chore: move useConversation(s) * chore: move useDefaultConvo * chore: move useNavigateToConvo * refactor: use plugin install hook so it can be used elsewhere * chore: import order * update docs * refactor(OpenAI/Plugins): allow modelLabel as an initial value for chatGptLabel * chore: remove unused EndpointOptionsPopover and hide 'Save as Preset' button if preset UI visibility disabled * feat(loadDefaultInterface): issue warnings based on values * feat: changelog for custom config file * docs: add additional changelog note * fix: prevent unavailable tool selection from preset and update availableTools on Plugin installations * feat: add `filteredTools` option in custom config * chore: changelog * fix(MessageIcon): always overwrite conversation.iconURL in messageSettings * fix(ModelSpecsMenu): icon edge cases * fix(NewChat): dynamic icon * fix(PluginsClient): always include endpoint in responseMessage * fix: always include endpoint and iconURL in responseMessage across different response methods * feat: interchangeable keys for modelSpec enforcing
This commit is contained in:
Danny Avila
GitHub
parent
a5cac03fa4
commit
0e50c07e3f
130 changed files with 3934 additions and 2973 deletions
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@ -3,6 +3,7 @@ import { z } from 'zod';
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import type { ZodError } from 'zod';
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import { EModelEndpoint, eModelEndpointSchema } from './schemas';
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import { fileConfigSchema } from './file-config';
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import { specsConfigSchema } from './models';
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import { FileSources } from './types/files';
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import { TModelsConfig } from './types';
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@ -27,6 +28,39 @@ export enum SettingsViews {
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export const fileSourceSchema = z.nativeEnum(FileSources);
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// Helper type to extract the shape of the Zod object schema
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type SchemaShape<T> = T extends z.ZodObject<infer U> ? U : never;
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// Helper type to determine the default value or undefined based on whether the field has a default
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type DefaultValue<T> = T extends z.ZodDefault<z.ZodTypeAny>
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? ReturnType<T['_def']['defaultValue']>
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: undefined;
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// Extract default values or undefined from the schema shape
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type ExtractDefaults<T> = {
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[P in keyof T]: DefaultValue<T[P]>;
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};
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export type SchemaDefaults<T> = ExtractDefaults<SchemaShape<T>>;
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export type TConfigDefaults = SchemaDefaults<typeof configSchema>;
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export function getSchemaDefaults<Schema extends z.AnyZodObject>(
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schema: Schema,
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): ExtractDefaults<SchemaShape<Schema>> {
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const shape = schema.shape;
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const entries = Object.entries(shape).map(([key, value]) => {
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if (value instanceof z.ZodDefault) {
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// Extract default value if it exists
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return [key, value._def.defaultValue()];
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}
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return [key, undefined];
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});
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// Create the object with the right types
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return Object.fromEntries(entries) as ExtractDefaults<SchemaShape<Schema>>;
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}
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export const modelConfigSchema = z
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.object({
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deploymentName: z.string().optional(),
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@ -200,9 +234,10 @@ export enum EImageOutputType {
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export const configSchema = z.object({
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version: z.string(),
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cache: z.boolean().optional().default(true),
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cache: z.boolean().default(true),
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secureImageLinks: z.boolean().optional(),
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imageOutputType: z.nativeEnum(EImageOutputType).optional().default(EImageOutputType.PNG),
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imageOutputType: z.nativeEnum(EImageOutputType).default(EImageOutputType.PNG),
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filteredTools: z.array(z.string()).optional(),
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interface: z
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.object({
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privacyPolicy: z
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@ -217,17 +252,29 @@ export const configSchema = z.object({
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openNewTab: z.boolean().optional(),
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})
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.optional(),
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endpointsMenu: z.boolean().optional(),
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modelSelect: z.boolean().optional(),
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parameters: z.boolean().optional(),
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sidePanel: z.boolean().optional(),
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presets: z.boolean().optional(),
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})
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.optional(),
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fileStrategy: fileSourceSchema.optional(),
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.default({
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endpointsMenu: true,
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modelSelect: true,
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parameters: true,
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sidePanel: true,
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presets: true,
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}),
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fileStrategy: fileSourceSchema.default(FileSources.local),
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registration: z
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.object({
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socialLogins: z.array(z.string()).optional(),
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allowedDomains: z.array(z.string()).optional(),
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})
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.optional(),
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.default({ socialLogins: defaultSocialLogins }),
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rateLimits: rateLimitSchema.optional(),
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fileConfig: fileConfigSchema.optional(),
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modelSpecs: specsConfigSchema.optional(),
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endpoints: z
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.object({
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[EModelEndpoint.azureOpenAI]: azureEndpointSchema.optional(),
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@ -241,6 +288,8 @@ export const configSchema = z.object({
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.optional(),
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});
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export const getConfigDefaults = () => getSchemaDefaults(configSchema);
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export type TCustomConfig = z.infer<typeof configSchema>;
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export enum KnownEndpoints {
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@ -605,32 +654,39 @@ export enum SettingsTabValues {
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ACCOUNT = 'account',
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}
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/**
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* Enum for app-wide constants
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*/
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/** Enum for app-wide constants */
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export enum Constants {
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/**
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* Key for the app's version.
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*/
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/** Key for the app's version. */
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VERSION = 'v0.7.1',
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/**
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* Key for the Custom Config's version (librechat.yaml).
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*/
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CONFIG_VERSION = '1.0.7',
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/**
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* Standard value for the first message's `parentMessageId` value, to indicate no parent exists.
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*/
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/** Key for the Custom Config's version (librechat.yaml). */
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CONFIG_VERSION = '1.0.8',
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/** Standard value for the first message's `parentMessageId` value, to indicate no parent exists. */
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NO_PARENT = '00000000-0000-0000-0000-000000000000',
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/**
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* Fixed, encoded domain length for Azure OpenAI Assistants Function name parsing.
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*/
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/** Fixed, encoded domain length for Azure OpenAI Assistants Function name parsing. */
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ENCODED_DOMAIN_LENGTH = 10,
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/**
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* Identifier for using current_model in multi-model requests.
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*/
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/** Identifier for using current_model in multi-model requests. */
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CURRENT_MODEL = 'current_model',
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}
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export enum LocalStorageKeys {
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/** Key for the admin defined App Title */
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APP_TITLE = 'appTitle',
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/** Key for the last conversation setup. */
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LAST_CONVO_SETUP = 'lastConversationSetup',
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/** Key for the last BingAI Settings */
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LAST_BING = 'lastBingSettings',
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/** Key for the last selected model. */
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LAST_MODEL = 'lastSelectedModel',
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/** Key for the last selected tools. */
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LAST_TOOLS = 'lastSelectedTools',
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/** Key for the last selected spec by name*/
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LAST_SPEC = 'lastSelectedSpec',
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/** Key for temporary files to delete */
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FILES_TO_DELETE = 'filesToDelete',
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/** Prefix key for the last selected assistant ID by index */
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ASST_ID_PREFIX = 'assistant_id__',
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}
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/**
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* Enum for Cohere related constants
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*/
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@ -656,37 +712,3 @@ export enum CohereConstants {
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*/
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TITLE_MESSAGE = 'TITLE:',
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}
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export const defaultOrderQuery: {
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order: 'desc';
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limit: 100;
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} = {
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order: 'desc',
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limit: 100,
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};
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export enum AssistantStreamEvents {
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ThreadCreated = 'thread.created',
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ThreadRunCreated = 'thread.run.created',
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ThreadRunQueued = 'thread.run.queued',
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ThreadRunInProgress = 'thread.run.in_progress',
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ThreadRunRequiresAction = 'thread.run.requires_action',
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ThreadRunCompleted = 'thread.run.completed',
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ThreadRunFailed = 'thread.run.failed',
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ThreadRunCancelling = 'thread.run.cancelling',
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ThreadRunCancelled = 'thread.run.cancelled',
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ThreadRunExpired = 'thread.run.expired',
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ThreadRunStepCreated = 'thread.run.step.created',
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ThreadRunStepInProgress = 'thread.run.step.in_progress',
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ThreadRunStepCompleted = 'thread.run.step.completed',
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ThreadRunStepFailed = 'thread.run.step.failed',
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ThreadRunStepCancelled = 'thread.run.step.cancelled',
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ThreadRunStepExpired = 'thread.run.step.expired',
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ThreadRunStepDelta = 'thread.run.step.delta',
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ThreadMessageCreated = 'thread.message.created',
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ThreadMessageInProgress = 'thread.message.in_progress',
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ThreadMessageCompleted = 'thread.message.completed',
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ThreadMessageIncomplete = 'thread.message.incomplete',
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ThreadMessageDelta = 'thread.message.delta',
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ErrorEvent = 'error',
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}
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@ -4,6 +4,8 @@ export * from './config';
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export * from './file-config';
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/* schema helpers */
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export * from './parsers';
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/* custom/dynamic configurations */
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export * from './models';
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export * from './generate';
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/* types (exports schemas from `./types` as they contain needed in other defs) */
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export * from './types';
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43
packages/data-provider/src/models.ts
Normal file
43
packages/data-provider/src/models.ts
Normal file
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@ -0,0 +1,43 @@
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import { z } from 'zod';
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import type { TPreset } from './schemas';
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import {
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EModelEndpoint,
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tPresetSchema,
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eModelEndpointSchema,
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AuthType,
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authTypeSchema,
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} from './schemas';
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export type TModelSpec = {
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name: string;
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label: string;
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preset: TPreset;
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order?: number;
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default?: boolean;
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description?: string;
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showIconInMenu?: boolean;
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showIconInHeader?: boolean;
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iconURL?: string | EModelEndpoint; // Allow using project-included icons
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authType?: AuthType;
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};
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export const tModelSpecSchema = z.object({
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name: z.string(),
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label: z.string(),
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preset: tPresetSchema,
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order: z.number().optional(),
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default: z.boolean().optional(),
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description: z.string().optional(),
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showIconInMenu: z.boolean().optional(),
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showIconInHeader: z.boolean().optional(),
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iconURL: z.union([z.string(), eModelEndpointSchema]).optional(),
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authType: authTypeSchema.optional(),
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});
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export const specsConfigSchema = z.object({
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enforce: z.boolean().default(false),
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prioritize: z.boolean().default(true),
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list: z.array(tModelSpecSchema).optional(),
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});
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export type TSpecsConfig = z.infer<typeof specsConfigSchema>;
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compactAnthropicSchema,
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compactChatGPTSchema,
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compactPluginsSchema,
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compactAssistantSchema,
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} from './schemas';
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import { alternateName } from './config';
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@ -260,7 +261,7 @@ export const getResponseSender = (endpointOption: TEndpointOption): string => {
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type CompactEndpointSchema =
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| typeof compactOpenAISchema
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| typeof assistantSchema
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| typeof compactAssistantSchema
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| typeof compactGoogleSchema
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| typeof bingAISchema
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| typeof compactAnthropicSchema
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@ -271,7 +272,7 @@ const compactEndpointSchemas: Record<string, CompactEndpointSchema> = {
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[EModelEndpoint.openAI]: compactOpenAISchema,
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[EModelEndpoint.azureOpenAI]: compactOpenAISchema,
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[EModelEndpoint.custom]: compactOpenAISchema,
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[EModelEndpoint.assistants]: assistantSchema,
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[EModelEndpoint.assistants]: compactAssistantSchema,
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[EModelEndpoint.google]: compactGoogleSchema,
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/* BingAI needs all fields */
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[EModelEndpoint.bingAI]: bingAISchema,
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@ -6,7 +6,8 @@ import {
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UseMutationResult,
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QueryObserverResult,
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} from '@tanstack/react-query';
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import { defaultOrderQuery, initialModelsConfig } from '../config';
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import { defaultOrderQuery } from '../types/assistants';
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import { initialModelsConfig, LocalStorageKeys } from '../config';
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import * as dataService from '../data-service';
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import * as m from '../types/mutations';
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import { QueryKeys } from '../keys';
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@ -289,10 +290,10 @@ export const useLoginUserMutation = (): UseMutationResult<
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return useMutation((payload: t.TLoginUser) => dataService.login(payload), {
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onMutate: () => {
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queryClient.removeQueries();
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localStorage.removeItem('lastConversationSetup');
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localStorage.removeItem('lastSelectedModel');
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localStorage.removeItem('lastSelectedTools');
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localStorage.removeItem('filesToDelete');
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localStorage.removeItem(LocalStorageKeys.LAST_CONVO_SETUP);
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localStorage.removeItem(LocalStorageKeys.LAST_MODEL);
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localStorage.removeItem(LocalStorageKeys.LAST_TOOLS);
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localStorage.removeItem(LocalStorageKeys.FILES_TO_DELETE);
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// localStorage.removeItem('lastAssistant');
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},
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});
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@ -368,14 +369,17 @@ export const useResetPasswordMutation = (): UseMutationResult<
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return useMutation((payload: t.TResetPassword) => dataService.resetPassword(payload));
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};
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export const useAvailablePluginsQuery = (): QueryObserverResult<s.TPlugin[]> => {
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return useQuery<s.TPlugin[]>(
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export const useAvailablePluginsQuery = <TData = s.TPlugin[]>(
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config?: UseQueryOptions<s.TPlugin[], unknown, TData>,
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): QueryObserverResult<TData> => {
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return useQuery<s.TPlugin[], unknown, TData>(
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[QueryKeys.availablePlugins],
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() => dataService.getAvailablePlugins(),
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{
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refetchOnWindowFocus: false,
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refetchOnReconnect: false,
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refetchOnMount: false,
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...config,
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},
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);
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};
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@ -5,6 +5,14 @@ import type { TFile } from './types/files';
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export const isUUID = z.string().uuid();
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export enum AuthType {
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OVERRIDE_AUTH = 'override_auth',
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USER_PROVIDED = 'user_provided',
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SYSTEM_DEFINED = 'SYSTEM_DEFINED',
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}
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export const authTypeSchema = z.nativeEnum(AuthType);
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export enum EModelEndpoint {
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azureOpenAI = 'azureOpenAI',
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openAI = 'openAI',
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@ -190,11 +198,37 @@ export const tExampleSchema = z.object({
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export type TExample = z.infer<typeof tExampleSchema>;
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export enum EAgent {
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functions = 'functions',
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classic = 'classic',
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}
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export const agentOptionSettings = {
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model: {
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default: 'gpt-4-turbo',
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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,
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},
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agent: {
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default: EAgent.functions,
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options: [EAgent.functions, EAgent.classic],
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},
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skipCompletion: {
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default: true,
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},
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};
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export const eAgentOptionsSchema = z.nativeEnum(EAgent);
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export const tAgentOptionsSchema = z.object({
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agent: z.string(),
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skipCompletion: z.boolean(),
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agent: z.string().default(EAgent.functions),
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skipCompletion: z.boolean().default(agentOptionSettings.skipCompletion.default),
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model: z.string(),
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temperature: z.number(),
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temperature: z.number().default(agentOptionSettings.temperature.default),
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});
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export const tMessageSchema = z.object({
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@ -228,6 +262,8 @@ export const tMessageSchema = z.object({
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finish_reason: z.string().optional(),
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/* assistant */
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thread_id: z.string().optional(),
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/* frontend components */
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iconURL: z.string().optional(),
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});
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export type TMessage = z.input<typeof tMessageSchema> & {
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|
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@ -246,7 +282,7 @@ export const tConversationSchema = z.object({
|
|||
endpointType: eModelEndpointSchema.optional(),
|
||||
suggestions: z.array(z.string()).optional(),
|
||||
messages: z.array(z.string()).optional(),
|
||||
tools: z.array(tPluginSchema).optional(),
|
||||
tools: z.union([z.array(tPluginSchema), z.array(z.string())]).optional(),
|
||||
createdAt: z.string(),
|
||||
updatedAt: z.string(),
|
||||
systemMessage: z.string().nullable().optional(),
|
||||
|
|
@ -284,6 +320,10 @@ export const tConversationSchema = z.object({
|
|||
/** Used to overwrite active conversation settings when saving a Preset */
|
||||
presetOverride: z.record(z.unknown()).optional(),
|
||||
stop: z.array(z.string()).optional(),
|
||||
/* frontend components */
|
||||
iconURL: z.string().optional(),
|
||||
greeting: z.string().optional(),
|
||||
spec: z.string().optional(),
|
||||
});
|
||||
|
||||
export const tPresetSchema = tConversationSchema
|
||||
|
|
@ -329,6 +369,7 @@ export type TConversation = z.infer<typeof tConversationSchema> & {
|
|||
export const openAISchema = tConversationSchema
|
||||
.pick({
|
||||
model: true,
|
||||
modelLabel: true,
|
||||
chatGptLabel: true,
|
||||
promptPrefix: true,
|
||||
temperature: true,
|
||||
|
|
@ -338,11 +379,14 @@ export const openAISchema = tConversationSchema
|
|||
resendFiles: true,
|
||||
imageDetail: true,
|
||||
stop: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj) => ({
|
||||
...obj,
|
||||
model: obj.model ?? openAISettings.model.default,
|
||||
chatGptLabel: obj.chatGptLabel ?? null,
|
||||
chatGptLabel: obj.modelLabel ?? obj.chatGptLabel ?? null,
|
||||
promptPrefix: obj.promptPrefix ?? null,
|
||||
temperature: obj.temperature ?? openAISettings.temperature.default,
|
||||
top_p: obj.top_p ?? openAISettings.top_p.default,
|
||||
|
|
@ -352,6 +396,9 @@ export const openAISchema = tConversationSchema
|
|||
typeof obj.resendFiles === 'boolean' ? obj.resendFiles : openAISettings.resendFiles.default,
|
||||
imageDetail: obj.imageDetail ?? openAISettings.imageDetail.default,
|
||||
stop: obj.stop ?? undefined,
|
||||
iconURL: obj.iconURL ?? undefined,
|
||||
greeting: obj.greeting ?? undefined,
|
||||
spec: obj.spec ?? undefined,
|
||||
}))
|
||||
.catch(() => ({
|
||||
model: openAISettings.model.default,
|
||||
|
|
@ -364,6 +411,9 @@ export const openAISchema = tConversationSchema
|
|||
resendFiles: openAISettings.resendFiles.default,
|
||||
imageDetail: openAISettings.imageDetail.default,
|
||||
stop: undefined,
|
||||
iconURL: undefined,
|
||||
greeting: undefined,
|
||||
spec: undefined,
|
||||
}));
|
||||
|
||||
export const googleSchema = tConversationSchema
|
||||
|
|
@ -376,6 +426,9 @@ export const googleSchema = tConversationSchema
|
|||
maxOutputTokens: true,
|
||||
topP: true,
|
||||
topK: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj) => {
|
||||
const isGemini = obj?.model?.toLowerCase()?.includes('gemini');
|
||||
|
|
@ -400,6 +453,9 @@ export const googleSchema = tConversationSchema
|
|||
maxOutputTokens,
|
||||
topP: obj.topP ?? google.topP.default,
|
||||
topK: obj.topK ?? google.topK.default,
|
||||
iconURL: obj.iconURL ?? undefined,
|
||||
greeting: obj.greeting ?? undefined,
|
||||
spec: obj.spec ?? undefined,
|
||||
};
|
||||
})
|
||||
.catch(() => ({
|
||||
|
|
@ -411,6 +467,9 @@ export const googleSchema = tConversationSchema
|
|||
maxOutputTokens: google.maxOutputTokens.default,
|
||||
topP: google.topP.default,
|
||||
topK: google.topK.default,
|
||||
iconURL: undefined,
|
||||
greeting: undefined,
|
||||
spec: undefined,
|
||||
}));
|
||||
|
||||
export const bingAISchema = tConversationSchema
|
||||
|
|
@ -458,6 +517,9 @@ export const anthropicSchema = tConversationSchema
|
|||
topP: true,
|
||||
topK: true,
|
||||
resendFiles: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj) => ({
|
||||
...obj,
|
||||
|
|
@ -469,6 +531,9 @@ export const anthropicSchema = tConversationSchema
|
|||
topP: obj.topP ?? 0.7,
|
||||
topK: obj.topK ?? 5,
|
||||
resendFiles: typeof obj.resendFiles === 'boolean' ? obj.resendFiles : true,
|
||||
iconURL: obj.iconURL ?? undefined,
|
||||
greeting: obj.greeting ?? undefined,
|
||||
spec: obj.spec ?? undefined,
|
||||
}))
|
||||
.catch(() => ({
|
||||
model: 'claude-1',
|
||||
|
|
@ -479,6 +544,9 @@ export const anthropicSchema = tConversationSchema
|
|||
topP: 0.7,
|
||||
topK: 5,
|
||||
resendFiles: true,
|
||||
iconURL: undefined,
|
||||
greeting: undefined,
|
||||
spec: undefined,
|
||||
}));
|
||||
|
||||
export const chatGPTBrowserSchema = tConversationSchema
|
||||
|
|
@ -496,6 +564,7 @@ export const chatGPTBrowserSchema = tConversationSchema
|
|||
export const gptPluginsSchema = tConversationSchema
|
||||
.pick({
|
||||
model: true,
|
||||
modelLabel: true,
|
||||
chatGptLabel: true,
|
||||
promptPrefix: true,
|
||||
temperature: true,
|
||||
|
|
@ -504,11 +573,14 @@ export const gptPluginsSchema = tConversationSchema
|
|||
frequency_penalty: true,
|
||||
tools: true,
|
||||
agentOptions: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj) => ({
|
||||
...obj,
|
||||
model: obj.model ?? 'gpt-3.5-turbo',
|
||||
chatGptLabel: obj.chatGptLabel ?? null,
|
||||
chatGptLabel: obj.modelLabel ?? obj.chatGptLabel ?? null,
|
||||
promptPrefix: obj.promptPrefix ?? null,
|
||||
temperature: obj.temperature ?? 0.8,
|
||||
top_p: obj.top_p ?? 1,
|
||||
|
|
@ -516,11 +588,14 @@ export const gptPluginsSchema = tConversationSchema
|
|||
frequency_penalty: obj.frequency_penalty ?? 0,
|
||||
tools: obj.tools ?? [],
|
||||
agentOptions: obj.agentOptions ?? {
|
||||
agent: 'functions',
|
||||
agent: EAgent.functions,
|
||||
skipCompletion: true,
|
||||
model: 'gpt-3.5-turbo',
|
||||
temperature: 0,
|
||||
},
|
||||
iconURL: obj.iconURL ?? undefined,
|
||||
greeting: obj.greeting ?? undefined,
|
||||
spec: obj.spec ?? undefined,
|
||||
}))
|
||||
.catch(() => ({
|
||||
model: 'gpt-3.5-turbo',
|
||||
|
|
@ -532,11 +607,14 @@ export const gptPluginsSchema = tConversationSchema
|
|||
frequency_penalty: 0,
|
||||
tools: [],
|
||||
agentOptions: {
|
||||
agent: 'functions',
|
||||
agent: EAgent.functions,
|
||||
skipCompletion: true,
|
||||
model: 'gpt-3.5-turbo',
|
||||
temperature: 0,
|
||||
},
|
||||
iconURL: undefined,
|
||||
greeting: undefined,
|
||||
spec: undefined,
|
||||
}));
|
||||
|
||||
export function removeNullishValues<T extends object>(obj: T): T {
|
||||
|
|
@ -557,7 +635,41 @@ export const assistantSchema = tConversationSchema
|
|||
assistant_id: true,
|
||||
instructions: true,
|
||||
promptPrefix: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj) => ({
|
||||
...obj,
|
||||
model: obj.model ?? openAISettings.model.default,
|
||||
assistant_id: obj.assistant_id ?? undefined,
|
||||
instructions: obj.instructions ?? undefined,
|
||||
promptPrefix: obj.promptPrefix ?? null,
|
||||
iconURL: obj.iconURL ?? undefined,
|
||||
greeting: obj.greeting ?? undefined,
|
||||
spec: obj.spec ?? undefined,
|
||||
}))
|
||||
.catch(() => ({
|
||||
model: openAISettings.model.default,
|
||||
assistant_id: undefined,
|
||||
instructions: undefined,
|
||||
promptPrefix: null,
|
||||
iconURL: undefined,
|
||||
greeting: undefined,
|
||||
spec: undefined,
|
||||
}));
|
||||
|
||||
export const compactAssistantSchema = tConversationSchema
|
||||
.pick({
|
||||
model: true,
|
||||
assistant_id: true,
|
||||
instructions: true,
|
||||
promptPrefix: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
// will change after adding temperature
|
||||
.transform(removeNullishValues)
|
||||
.catch(() => ({}));
|
||||
|
||||
|
|
@ -573,6 +685,9 @@ export const compactOpenAISchema = tConversationSchema
|
|||
resendFiles: true,
|
||||
imageDetail: true,
|
||||
stop: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj: Partial<TConversation>) => {
|
||||
const newObj: Partial<TConversation> = { ...obj };
|
||||
|
|
@ -609,6 +724,9 @@ export const compactGoogleSchema = tConversationSchema
|
|||
maxOutputTokens: true,
|
||||
topP: true,
|
||||
topK: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj) => {
|
||||
const newObj: Partial<TConversation> = { ...obj };
|
||||
|
|
@ -639,6 +757,9 @@ export const compactAnthropicSchema = tConversationSchema
|
|||
topP: true,
|
||||
topK: true,
|
||||
resendFiles: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj) => {
|
||||
const newObj: Partial<TConversation> = { ...obj };
|
||||
|
|
@ -683,6 +804,9 @@ export const compactPluginsSchema = tConversationSchema
|
|||
frequency_penalty: true,
|
||||
tools: true,
|
||||
agentOptions: true,
|
||||
iconURL: true,
|
||||
greeting: true,
|
||||
spec: true,
|
||||
})
|
||||
.transform((obj) => {
|
||||
const newObj: Partial<TConversation> = { ...obj };
|
||||
|
|
@ -710,7 +834,7 @@ export const compactPluginsSchema = tConversationSchema
|
|||
|
||||
if (
|
||||
newObj.agentOptions &&
|
||||
newObj.agentOptions.agent === 'functions' &&
|
||||
newObj.agentOptions.agent === EAgent.functions &&
|
||||
newObj.agentOptions.skipCompletion === true &&
|
||||
newObj.agentOptions.model === 'gpt-3.5-turbo' &&
|
||||
newObj.agentOptions.temperature === 0
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
import OpenAI from 'openai';
|
||||
import type { TResPlugin, TMessage, TConversation, EModelEndpoint, ImageDetail } from './schemas';
|
||||
|
||||
import type { TSpecsConfig } from './models';
|
||||
export type TOpenAIMessage = OpenAI.Chat.ChatCompletionMessageParam;
|
||||
export type TOpenAIFunction = OpenAI.Chat.ChatCompletionCreateParams.Function;
|
||||
export type TOpenAIFunctionCall = OpenAI.Chat.ChatCompletionCreateParams.FunctionCallOption;
|
||||
|
|
@ -204,6 +204,11 @@ export type TInterfaceConfig = {
|
|||
externalUrl?: string;
|
||||
openNewTab?: boolean;
|
||||
};
|
||||
endpointsMenu: boolean;
|
||||
modelSelect: boolean;
|
||||
parameters: boolean;
|
||||
sidePanel: boolean;
|
||||
presets: boolean;
|
||||
};
|
||||
|
||||
export type TStartupConfig = {
|
||||
|
|
@ -226,6 +231,7 @@ export type TStartupConfig = {
|
|||
showBirthdayIcon: boolean;
|
||||
helpAndFaqURL: string;
|
||||
customFooter?: string;
|
||||
modelSpecs?: TSpecsConfig;
|
||||
};
|
||||
|
||||
export type TRefreshTokenResponse = {
|
||||
|
|
|
|||
|
|
@ -339,3 +339,37 @@ export enum FilePurpose {
|
|||
Assistants = 'assistants',
|
||||
AssistantsOutput = 'assistants_output',
|
||||
}
|
||||
|
||||
export const defaultOrderQuery: {
|
||||
order: 'desc';
|
||||
limit: 100;
|
||||
} = {
|
||||
order: 'desc',
|
||||
limit: 100,
|
||||
};
|
||||
|
||||
export enum AssistantStreamEvents {
|
||||
ThreadCreated = 'thread.created',
|
||||
ThreadRunCreated = 'thread.run.created',
|
||||
ThreadRunQueued = 'thread.run.queued',
|
||||
ThreadRunInProgress = 'thread.run.in_progress',
|
||||
ThreadRunRequiresAction = 'thread.run.requires_action',
|
||||
ThreadRunCompleted = 'thread.run.completed',
|
||||
ThreadRunFailed = 'thread.run.failed',
|
||||
ThreadRunCancelling = 'thread.run.cancelling',
|
||||
ThreadRunCancelled = 'thread.run.cancelled',
|
||||
ThreadRunExpired = 'thread.run.expired',
|
||||
ThreadRunStepCreated = 'thread.run.step.created',
|
||||
ThreadRunStepInProgress = 'thread.run.step.in_progress',
|
||||
ThreadRunStepCompleted = 'thread.run.step.completed',
|
||||
ThreadRunStepFailed = 'thread.run.step.failed',
|
||||
ThreadRunStepCancelled = 'thread.run.step.cancelled',
|
||||
ThreadRunStepExpired = 'thread.run.step.expired',
|
||||
ThreadRunStepDelta = 'thread.run.step.delta',
|
||||
ThreadMessageCreated = 'thread.message.created',
|
||||
ThreadMessageInProgress = 'thread.message.in_progress',
|
||||
ThreadMessageCompleted = 'thread.message.completed',
|
||||
ThreadMessageIncomplete = 'thread.message.incomplete',
|
||||
ThreadMessageDelta = 'thread.message.delta',
|
||||
ErrorEvent = 'error',
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue