* chore: move database model methods to /packages/data-schemas
* chore: add TypeScript ESLint rule to warn on unused variables
* refactor: model imports to streamline access
- Consolidated model imports across various files to improve code organization and reduce redundancy.
- Updated imports for models such as Assistant, Message, Conversation, and others to a unified import path.
- Adjusted middleware and service files to reflect the new import structure, ensuring functionality remains intact.
- Enhanced test files to align with the new import paths, maintaining test coverage and integrity.
* chore: migrate database models to packages/data-schemas and refactor all direct Mongoose Model usage outside of data-schemas
* test: update agent model mocks in unit tests
- Added `getAgent` mock to `client.test.js` to enhance test coverage for agent-related functionality.
- Removed redundant `getAgent` and `getAgents` mocks from `openai.spec.js` and `responses.unit.spec.js` to streamline test setup and reduce duplication.
- Ensured consistency in agent mock implementations across test files.
* fix: update types in data-schemas
* refactor: enhance type definitions in transaction and spending methods
- Updated type definitions in `checkBalance.ts` to use specific request and response types.
- Refined `spendTokens.ts` to utilize a new `SpendTxData` interface for better clarity and type safety.
- Improved transaction handling in `transaction.ts` by introducing `TransactionResult` and `TxData` interfaces, ensuring consistent data structures across methods.
- Adjusted unit tests in `transaction.spec.ts` to accommodate new type definitions and enhance robustness.
* refactor: streamline model imports and enhance code organization
- Consolidated model imports across various controllers and services to a unified import path, improving code clarity and reducing redundancy.
- Updated multiple files to reflect the new import structure, ensuring all functionalities remain intact.
- Enhanced overall code organization by removing duplicate import statements and optimizing the usage of model methods.
* feat: implement loadAddedAgent and refactor agent loading logic
- Introduced `loadAddedAgent` function to handle loading agents from added conversations, supporting multi-convo parallel execution.
- Created a new `load.ts` file to encapsulate agent loading functionalities, including `loadEphemeralAgent` and `loadAgent`.
- Updated the `index.ts` file to export the new `load` module instead of the deprecated `loadAgent`.
- Enhanced type definitions and improved error handling in the agent loading process.
- Adjusted unit tests to reflect changes in the agent loading structure and ensure comprehensive coverage.
* refactor: enhance balance handling with new update interface
- Introduced `IBalanceUpdate` interface to streamline balance update operations across the codebase.
- Updated `upsertBalanceFields` method signatures in `balance.ts`, `transaction.ts`, and related tests to utilize the new interface for improved type safety.
- Adjusted type imports in `balance.spec.ts` to include `IBalanceUpdate`, ensuring consistency in balance management functionalities.
- Enhanced overall code clarity and maintainability by refining type definitions related to balance operations.
* feat: add unit tests for loadAgent functionality and enhance agent loading logic
- Introduced comprehensive unit tests for the `loadAgent` function, covering various scenarios including null and empty agent IDs, loading of ephemeral agents, and permission checks.
- Enhanced the `initializeClient` function by moving `getConvoFiles` to the correct position in the database method exports, ensuring proper functionality.
- Improved test coverage for agent loading, including handling of non-existent agents and user permissions.
* chore: reorder memory method exports for consistency
- Moved `deleteAllUserMemories` to the correct position in the exported memory methods, ensuring a consistent and logical order of method exports in `memory.ts`.
* 🧹 chore: Update logger imports to use @librechat/data-schemas across multiple files and remove unused sleep function from queue.js (#9930)
* chore: Replace local isEnabled utility with @librechat/api import across multiple files, update test files
* chore: Replace local logger import with @librechat/data-schemas logger in countTokens.js and fork.js
* chore: Update logs volume path in docker-compose.yml to correct directory
* chore: import order of isEnabled in static.js
* typedef for ImportBatchBuilder
* feat: first pass, fork conversations
* feat: fork - getMessagesUpToTargetLevel
* fix: additional tests and fix getAllMessagesUpToParent
* chore: arrow function return
* refactor: fork 3 options
* chore: remove unused genbuttons
* chore: remove unused hover buttons code
* feat: fork first pass
* wip: fork remember setting
* style: user icon
* chore: move clear chats to data tab
* WIP: fork UI options
* feat: data-provider fork types/services/vars and use generic MutationOptions
* refactor: use single param for fork option, use enum, fix mongo errors, use Date.now(), add records flag for testing, use endpoint from original convo and messages, pass originalConvo to finishConversation
* feat: add fork mutation hook and consolidate type imports
* refactor: use enum
* feat: first pass, fork mutation
* chore: add enum for target level fork option
* chore: add enum for target level fork option
* show toast when checking remember selection
* feat: splitAtTarget
* feat: split at target option
* feat: navigate to new fork, show toasts, set result query data
* feat: hover info for all fork options
* refactor: add Messages settings tab
* fix(Fork): remember text info
* ci: test for single message and is target edge case
* feat: additional tests for getAllMessagesUpToParent
* ci: additional tests and cycle detection for getMessagesUpToTargetLevel
* feat: circular dependency checks for getAllMessagesUpToParent
* fix: getMessagesUpToTargetLevel circular dep. check
* ci: more tests for getMessagesForConversation
* style: hover text for checkbox fork items
* refactor: add statefulness to conversation import
