* 🔧 chore: Update dependencies in package-lock.json and package.json
- Bump version of @librechat/agents to 3.1.75-dev.0 in multiple package.json files.
- Upgrade various AWS SDK and Smithy dependencies to their latest versions in package-lock.json for improved stability and performance.
* 🔧 chore: Update AWS SDK and Smithy dependencies in package-lock.json
- Bump version of @aws-sdk/client-bedrock-runtime to 3.1041.0 and update related dependencies for improved performance and stability.
- Upgrade various AWS SDK and Smithy packages to their latest versions, ensuring compatibility and enhanced functionality.
* chore: Align LibreChat with agents LangChain upgrade
- Route LangChain imports through @librechat/agents facade exports
- Update @librechat/agents to 3.1.75-dev.1 and remove direct LangChain deps
- Normalize nullable agent model params and API key override typing
- Update Google thinking config typing for newer LangChain packages
- Refresh targeted audit-related dependency overrides
* chore: Add Jest types for API specs
* test: Fix LangChain upgrade CI specs
* test: Exercise agents env facade
* fix: Clean up TS preview diagnostics
* fix: Address Codex review feedback
* 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`.
* feat: Add messageId to transactions
* chore: field order
* feat: Enhance token usage tracking by adding messageId parameter
- Updated `recordTokenUsage` method in BaseClient to accept a new `messageId` parameter for improved tracking.
- Propagated `messageId` in the AgentClient when recording usage.
- Added tests to ensure `messageId` is correctly passed and handled in various scenarios, including propagation across multiple usage entries.
* chore: Correct field order in createGeminiImageTool function
- Moved the conversationId field to the correct position in the object being passed to the recordTokenUsage method, ensuring proper parameter alignment for improved functionality.
* refactor: Update OpenAIChatCompletionController and createResponse to use responseId instead of requestId
- Replaced instances of requestId with responseId in the OpenAIChatCompletionController for improved clarity in logging and tracking.
- Updated createResponse to include responseId in the requestBody, ensuring consistency across the handling of message identifiers.
* test: Add messageId to agent client tests
- Included messageId in the agent client tests to ensure proper handling and propagation of message identifiers during transaction recording.
- This update enhances the test coverage for scenarios involving messageId, aligning with recent changes in the tracking of message identifiers.
* fix: Update OpenAIChatCompletionController to use requestId for context
- Changed the context object in OpenAIChatCompletionController to use `requestId` instead of `responseId` for improved clarity and consistency in handling request identifiers.
* chore: field order
* chore: saveToCloudStorage function and enhance error handling
- Removed unnecessary parameters and streamlined the logic for saving images to cloud storage.
- Introduced buffer handling for base64 image data and improved the integration with file strategy functions.
- Enhanced error handling during local image saving to ensure robustness.
- Updated the createGeminiImageTool function to reflect changes in the saveToCloudStorage implementation.
* refactor: streamline image persistence logic in GeminiImageGen
- Consolidated image saving functionality by renaming and refactoring the saveToCloudStorage function to persistGeneratedImage.
- Improved error handling and logging for image persistence operations.
- Enhanced the replaceUnwantedChars function to better sanitize input strings.
- Updated createGeminiImageTool to reflect changes in image handling and ensure consistent behavior across storage strategies.
* fix: clean up GeminiImageGen by removing unused functions and improving logging
- Removed the getSafeFormat and persistGeneratedImage functions to streamline image handling.
- Updated logging in createGeminiImageTool for clarity and consistency.
- Consolidated imports by eliminating unused dependencies, enhancing code maintainability.
* chore: update environment configuration and manifest for unused GEMINI_VERTEX_ENABLED
- Removed the Vertex AI configuration option from .env.example to simplify setup.
- Updated the manifest.json to reflect the removal of the Vertex AI dependency in the authentication field.
- Cleaned up the createGeminiImageTool function by eliminating unused fields related to Vertex AI, streamlining the code.
* fix: update loadAuthValues call in loadTools function for GeminiImageGen tool
- Modified the loadAuthValues function call to include throwError: false, preventing exceptions on authentication failures.
- Removed the unused processFileURL parameter from the tool context object, streamlining the code.
* refactor: streamline GoogleGenAI initialization in GeminiImageGen
- Removed unused file system access check for Google application credentials, simplifying the environment setup.
- Added googleAuthOptions to the GoogleGenAI instantiation, enhancing the configuration for authentication.
* fix: update Gemini API Key label and description in manifest.json
- Changed the label to indicate that the Gemini API Key is optional.
- Revised the description to clarify usage with Vertex AI and service accounts, enhancing user guidance.
* fix: enhance abort signal handling in createGeminiImageTool
- Introduced derivedSignal to manage abort events during image generation, improving responsiveness to cancellation requests.
- Added an abortHandler to log when image generation is aborted, enhancing debugging capabilities.
- Ensured proper cleanup of event listeners in the finally block to prevent memory leaks.
* fix: update authentication handling for plugins to support optional fields
- Added support for optional authentication fields in the manifest and PluginAuthForm.
- Updated the checkPluginAuth function to correctly validate plugins with optional fields.
- Enhanced tests to cover scenarios with optional authentication fields, ensuring accurate validation logic.
* ✨ feat: Add proxy support for Google APIs in GeminiImageGen
- Implemented a proxy wrapper for globalThis.fetch to route requests to googleapis.com through a specified proxy.
- Added tests to verify the proxy configuration behavior, ensuring correct dispatcher application for Google API calls and preserving existing options.
Co-authored-by: [Your Name] <your.email@example.com>
* chore: remove comment
---------
Co-authored-by: [Your Name] <your.email@example.com>
Co-authored-by: Danny Avila <danacordially@gmail.com>
* Added fully functioning Agent Tool supporting Google's Nano Banana
* 🔧 refactor: Update Google credentials handling in GeminiImageGen.js
* Refactored the credentials path to follow a consistent pattern with other Google service integrations, allowing for an environment variable override.
* Updated documentation in README-GeminiNanoBanana.md to reflect the new credentials handling approach and removed references to hardcoded paths.
* 🛠️ refactor: Remove unnecessary whitespace in handleTools.js
* 🔧 feat: Update Gemini Image Generation Tool
- Bump @google/genai package version to ^1.19.0 for improved functionality.
- Refactor GeminiImageGen to createGeminiImageTool for better clarity and consistency.
- Enhance manifest.json for Gemini Image Tools with updated descriptions and icon.
- Add SVG icon for Gemini Image Tools.
- Implement progress tracking for Gemini image generation in the UI.
- Introduce new toolkit and context handling for image generation tools.
This update improves the Gemini image generation capabilities and user experience.
* 🗑️ chore: Remove outdated Gemini image generation PNG and update SVG icon
- Deleted the obsolete PNG file for Gemini image generation.
- Updated the SVG icon with a new design featuring a gradient and shadow effect, enhancing visual appeal and consistency.
* fix: ESLint formatting and unused variable in GeminiImageGen
* fix: Update default model to gemini-2.5-flash-image
* ✨ feat: Enhance Gemini Image Generation Configuration
- Updated .env.example to include new environment variables for Google Cloud region, service account configuration, and Gemini API key options.
- Modified GeminiImageGen.js to support both user-provided API keys and Vertex AI service accounts, improving flexibility in client initialization.
- Updated manifest.json to reflect changes in authentication methods for the Gemini Image Tools.
- Bumped @google/genai package version to 1.19.0 in package-lock.json for compatibility with new features.
* 🔧 fix: Format Default Service Key Path in GeminiImageGen.js
- Adjusted the return statement in getDefaultServiceKeyPath function for improved readability by formatting it across multiple lines. This change enhances code clarity without altering functionality.
* ✨ feat: Enhance Gemini Image Generation with Token Usage Tracking
- Added `recordTokenUsage` function to track token usage for balance management.
- Integrated token recording into the image generation process.
- Updated Gemini image generation tool to accept optional `aspectRatio` and `imageSize` parameters for improved image customization.
- Updated token values for new Gemini models in the transaction model.
- Improved documentation for image generation tool descriptions and parameters.
* ✨ feat: Add new Gemini models for image generation token limits
- Introduced token limits for 'gemini-3-pro-image' and 'gemini-2.5-flash-image' models.
- Updated token values to enhance the Gemini image generation capabilities.
* 🔧 fix: Update Google Service Key Path for Consistency in Initialization (#11001)
* 🔧 refactor: Update GeminiImageGen for improved file handling and path resolution
- Changed the default service key path to use process.cwd() for better compatibility.
- Replaced synchronous file system operations with asynchronous promises for mkdir and writeFile, enhancing performance and error handling.
- Added error handling for credential file access to prevent crashes when the file does not exist.
* 🔧 refactor: Update GeminiImageGen to streamline API key handling
- Refactored API key checks to improve clarity and consistency.
- Removed redundant checks for user-provided keys, enhancing code readability.
- Ensured proper logging for API key usage across different configurations.
* 🔧 fix: Update GeminiImageGen to handle imageSize support conditionally
- Added a check to ensure imageSize is only applied if the gemini model does not include 'gemini-2.5-flash-image', improving compatibility.
- Enhanced the logic for setting imageConfig to prevent potential issues with unsupported configurations.
* 🔧 refactor: Simplify local storage condition in createGeminiImageTool function
* 🔧 feat: Enhance image format handling in GeminiImageGen with conversion support
* 🔧 refactor: Streamline API key initialization in GeminiImageGen
- Simplified the handling of API keys by removing redundant checks for user-provided keys.
- Updated logging to reflect the new priority order for API key usage, enhancing clarity and consistency.
- Improved code readability by consolidating key retrieval logic.
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Co-authored-by: Dev Bhanushali <dev.bhanushali@hingehealth.com>
Co-authored-by: Danny Avila <danny@librechat.ai>
