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🎯 refactor: Centralize Agent Model Handling Across Conversation Lifecycle (#10956)
* refactor: Implement clearModelForNonEphemeralAgent utility for improved agent handling - Introduced clearModelForNonEphemeralAgent function to manage model state for non-ephemeral agents across various components. - Updated ModelSelectorContext to initialize model based on agent type. - Enhanced useNavigateToConvo, useQueryParams, and useSelectMention hooks to clear model for non-ephemeral agents. - Refactored buildDefaultConvo and endpoints utility to ensure proper handling of agent_id and model state. - Improved overall conversation logic and state management for better performance and reliability. * refactor: Enhance useNewConvo hook to improve agent conversation handling - Added logic to skip access checks for existing agent conversations, utilizing localStorage to restore conversations after refresh. - Improved handling of default endpoints for agents based on user access and existing conversation state, ensuring more reliable conversation initialization. * refactor: Update ChatRoute and useAuthRedirect to include user roles - Enhanced ChatRoute to utilize user roles for improved conversation state management. - Modified useAuthRedirect to return user roles alongside authentication status, ensuring roles are available for conditional logic in ChatRoute. - Adjusted conversation initialization logic to depend on the loaded roles, enhancing the reliability of the conversation setup. * refactor: Update BaseClient to handle non-ephemeral agents in conversation logic - Added a check for non-ephemeral agents in BaseClient, modifying the exceptions set to include 'model' when applicable. - Enhanced conversation handling to improve flexibility based on agent type. * test: Add mock for clearModelForNonEphemeralAgent in useQueryParams tests - Introduced a mock for clearModelForNonEphemeralAgent to enhance testing of query parameters related to non-ephemeral agents. - This addition supports improved test coverage and ensures proper handling of model state in relevant scenarios. * refactor: Simplify mocks in useQueryParams tests for improved clarity - Updated the mocking strategy for utilities in useQueryParams tests to use actual implementations where possible, while still suppressing test output for the logger. - Enhanced the mock for tQueryParamsSchema to minimize complexity and avoid unnecessary validation during tests, improving test reliability and maintainability. * refactor: Enhance agent identification logic in BaseClient for improved clarity * chore: Import Constants in families.ts for enhanced functionality
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12 changed files with 161 additions and 49 deletions
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@ -9,7 +9,13 @@ import type {
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TModelsConfig,
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TConversation,
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} from 'librechat-data-provider';
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import { getDefaultEndpoint, clearMessagesCache, buildDefaultConvo, logger } from '~/utils';
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import {
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clearModelForNonEphemeralAgent,
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getDefaultEndpoint,
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clearMessagesCache,
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buildDefaultConvo,
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logger,
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} from '~/utils';
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import { useApplyModelSpecEffects } from '~/hooks/Agents';
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import store from '~/store';
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@ -49,7 +55,10 @@ const useNavigateToConvo = (index = 0) => {
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dataService.getConversationById(conversationId),
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);
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logger.log('conversation', 'Fetched fresh conversation data', data);
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setConversation(data);
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const convoData = { ...data };
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clearModelForNonEphemeralAgent(convoData);
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setConversation(convoData);
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navigate(`/c/${conversationId ?? Constants.NEW_CONVO}`, { state: { focusChat: true } });
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} catch (error) {
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console.error('Error fetching conversation data on navigation', error);
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