🎯 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
This commit is contained in:
Danny Avila 2025-12-13 08:29:15 -05:00 committed by GitHub
parent 06719794f6
commit b5ab32c5ae
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12 changed files with 161 additions and 49 deletions

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@ -9,7 +9,13 @@ import type {
TModelsConfig,
TConversation,
} from 'librechat-data-provider';
import { getDefaultEndpoint, clearMessagesCache, buildDefaultConvo, logger } from '~/utils';
import {
clearModelForNonEphemeralAgent,
getDefaultEndpoint,
clearMessagesCache,
buildDefaultConvo,
logger,
} from '~/utils';
import { useApplyModelSpecEffects } from '~/hooks/Agents';
import store from '~/store';
@ -49,7 +55,10 @@ const useNavigateToConvo = (index = 0) => {
dataService.getConversationById(conversationId),
);
logger.log('conversation', 'Fetched fresh conversation data', data);
setConversation(data);
const convoData = { ...data };
clearModelForNonEphemeralAgent(convoData);
setConversation(convoData);
navigate(`/c/${conversationId ?? Constants.NEW_CONVO}`, { state: { focusChat: true } });
} catch (error) {
console.error('Error fetching conversation data on navigation', error);