* 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`.
* 🐛 fix: Normalize `output_text` blocks in Responses API input conversion
Treat `output_text` content blocks the same as `input_text` when
converting Responses API input to internal message format. Previously,
assistant messages containing `output_text` blocks fell through to the
default handler, producing `{ type: 'output_text' }` without a `text`
field, which caused downstream provider adapters (e.g. Bedrock) to fail
with "Unsupported content block type: output_text".
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: Remove ChatModelStreamHandler from OpenAI and Responses controllers
Eliminated the ChatModelStreamHandler from both OpenAIChatCompletionController and createResponse functions to streamline event handling. This change simplifies the code by relying on existing handlers for message deltas and reasoning deltas, enhancing maintainability and reducing complexity in the agent's event processing logic.
* feat: Enhance input conversion in Responses API
Updated the `convertInputToMessages` function to handle additional content types, including `input_file` and `refusal` blocks, ensuring they are converted to appropriate message formats. Implemented null filtering for content arrays and default values for missing fields, improving robustness. Added comprehensive unit tests to validate these changes and ensure correct behavior across various input scenarios.
* fix: Forward upstream provider status codes in error responses
Updated error handling in OpenAIChatCompletionController and createResponse functions to forward upstream provider status codes (e.g., Anthropic 400s) instead of masking them as 500. This change improves error reporting by providing more accurate status codes and error types, enhancing the clarity of error responses for clients.
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: Implement token usage tracking for OpenAI and Responses controllers
- Added functionality to record token usage against user balances in OpenAIChatCompletionController and createResponse functions.
- Introduced new utility functions for managing token spending and structured token usage.
- Enhanced error handling for token recording to improve logging and debugging capabilities.
- Updated imports to include new usage tracking methods and configurations.
* test: Add unit tests for recordCollectedUsage function in usage.spec.ts
- Introduced comprehensive tests for the recordCollectedUsage function, covering various scenarios including handling empty and null collectedUsage, single and multiple usage entries, and sequential and parallel execution cases.
- Enhanced token handling tests to ensure correct calculations for both OpenAI and Anthropic formats, including cache token management.
- Improved overall test coverage for usage tracking functionality, ensuring robust validation of expected behaviors and outcomes.
* test: Add unit tests for OpenAI and Responses API controllers
- Introduced comprehensive unit tests for the OpenAIChatCompletionController and createResponse functions, focusing on the correct invocation of recordCollectedUsage for token spending.
- Enhanced tests to validate the passing of balance and transactions configuration to the recordCollectedUsage function.
- Ensured proper dependency injection of spendTokens and spendStructuredTokens in the usage recording process.
- Improved overall test coverage for token usage tracking, ensuring robust validation of expected behaviors and outcomes.
* WIP: code ptc
* refactor: tool classification and calling logic
* 🔧 fix: Update @librechat/agents dependency to version 3.0.68
* chore: import order and correct renamed tool name for tool search
* refactor: streamline tool classification logic for local and programmatic tools
* feat: add per-tool configuration options for agents, including deferred loading and allowed callers
- Introduced `tool_options` in agent forms to manage tool behavior.
- Updated tool classification logic to prioritize agent-level configurations.
- Enhanced UI components to support tool deferral functionality.
- Added localization strings for new tool options and actions.
* feat: enhance agent schema with per-tool options for configuration
- Added `tool_options` schema to support per-tool configurations, including `defer_loading` and `allowed_callers`.
- Updated agent data model to incorporate new tool options, ensuring flexibility in tool behavior management.
- Modified type definitions to reflect the new `tool_options` structure for agents.
* feat: add tool_options parameter to loadTools and initializeAgent for enhanced agent configuration
* chore: update @librechat/agents dependency to version 3.0.71 and enhance agent tool loading logic
- Updated the @librechat/agents package to version 3.0.71 across multiple files.
- Added support for handling deferred loading of tools in agent initialization and execution processes.
- Improved the extraction of discovered tools from message history to optimize tool loading behavior.
* chore: update @librechat/agents dependency to version 3.0.72
* chore: update @librechat/agents dependency to version 3.0.75
* refactor: simplify tool defer loading logic in MCPTool component
- Removed local state management for deferred tools, relying on form state instead.
- Updated related functions to directly use form values for checking and toggling defer loading.
- Cleaned up code by eliminating unnecessary optimistic updates and local state dependencies.
* chore: remove deprecated localization strings for tool deferral in translation.json
- Eliminated unused strings related to deferred loading descriptions in the English translation file.
- Streamlined localization to reflect recent changes in tool loading logic.
* refactor: improve tool defer loading handling in MCPTool component
- Enhanced the logic for managing deferred loading of tools by simplifying the update process for tool options.
- Ensured that the state reflects the correct loading behavior based on the new deferred loading conditions.
- Cleaned up the code to remove unnecessary complexity in handling tool options.
* refactor: update agent mocks in callbacks test to use actual implementations
- Modified the agent mocks in the callbacks test to include actual implementations from the @librechat/agents module.
- This change enhances the accuracy of the tests by ensuring they reflect the real behavior of the agent functions.
* 🔧 fix: Prevent race conditions in message saving during abort scenarios
* Added logic to save partial responses before returning from the abort endpoint to ensure parentMessageId exists in the database.
* Updated the ResumableAgentController to save response messages before emitting final events, preventing orphaned parentMessageIds.
* Enhanced handling of unfinished responses to improve stability and data integrity in agent interactions.
* 🔧 fix: logging and job replacement handling in ResumableAgentController
* Added detailed logging for job creation and final event emissions to improve traceability.
* Implemented logic to check for job replacement before emitting events, preventing stale requests from affecting newer jobs.
* Updated abort handling to log additional context about the abort result, enhancing debugging capabilities.
* refactor: abort handling and token spending logic in AgentStream
* Added authorization check for abort attempts to prevent unauthorized access.
* Improved response message saving logic to ensure valid message IDs are stored.
* Implemented token spending for aborted requests to prevent double-spending across parallel agents.
* Enhanced logging for better traceability of token spending operations during abort scenarios.
* refactor: remove TODO comments for token spending in abort handling
* Removed outdated TODO comments regarding token spending for aborted requests in the abort endpoint.
* This change streamlines the code and clarifies the current implementation status.
* ✅ test: Add comprehensive tests for job replacement and abort handling
* Introduced unit tests for job replacement detection in ResumableAgentController, covering job creation timestamp tracking, stale job detection, and response message saving order.
* Added tests for the agent abort endpoint, ensuring proper authorization checks, early abort handling, and partial response saving.
* Enhanced logging and error handling in tests to improve traceability and robustness of the abort functionality.
* 💻 feat: deeper MCP UI integration in the chat UI using plugins
---------
Co-authored-by: Samuel Path <samuel.path@shopify.com>
Co-authored-by: Pierre-Luc Godin <pierreluc.godin@shopify.com>
* 💻 refactor: Migrate MCP UI resources from index-based to ID-based referencing
- Replace index-based resource markers with stable resource IDs
- Update plugin to parse \ui{resourceId} format instead of \ui0
- Refactor components to use useMessagesOperations instead of useSubmitMessage
- Add ShareMessagesProvider for UI resources in share view
- Add useConversationUIResources hook for cross-turn resource lookups
- Update parsers to generate resource IDs from content hashes
- Update all tests to use resource IDs instead of indices
- Add sandbox permissions for iframe popups
- Remove deprecated MCP tool context instructions
---------
Co-authored-by: Pierre-Luc Godin <pierreluc.godin@shopify.com>
* WIP: conversion of `ocr` to `context`
* refactor: make `primeResources` backwards-compatible for `ocr` tool_resources
* refactor: Convert legacy `ocr` tool resource to `context` in agent updates
- Implemented conversion logic to replace `ocr` with `context` in both incoming updates and existing agent data.
- Merged file IDs and files from `ocr` into `context` while ensuring deduplication.
- Updated tools array to reflect the change from `ocr` to `context`.
* refactor: Enhance context file handling in agent processing
- Updated the logic for managing context files by consolidating file IDs from both `ocr` and `context` resources.
- Improved backwards compatibility by ensuring that context files are correctly populated and handled.
- Simplified the iteration over context files for better readability and maintainability.
* refactor: Enhance tool_resources handling in primeResources
- Added tests to verify the deletion behavior of tool_resources fields, ensuring original objects remain unchanged.
- Implemented logic to delete `ocr` and `context` fields after fetching and re-categorizing files.
- Preserved context field when the context capability is disabled, ensuring correct behavior in various scenarios.
* refactor: Replace `ocrEnabled` with `contextEnabled` in AgentConfig
* refactor: Adjust legacy tool handling order for improved clarity
* refactor: Implement OCR to context conversion functions and remove original conversion logic in update agent handling
* refactor: Move contextEnabled declaration to maintain consistent order in capabilities
* refactor: Update localization keys for file context to improve clarity and accuracy
* chore: Update localization key for file context information to improve clarity
* ✂️ refactor: use artifacts and callbacks to pass UI resources
* chore: imports
* refactor: Update UIResource type imports and definitions across components and tests
* refactor: Update ToolCallInfo test data structure and enhance TAttachment type definition
---------
Co-authored-by: Samuel Path <samuel.path@shopify.com>
