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5 commits

Author SHA1 Message Date
Danny Avila
5af1342dbb
🦥 refactor: Event-Driven Lazy Tool Loading (#11588)
* refactor: json schema tools with lazy loading

- Added LocalToolExecutor class for lazy loading and caching of tools during execution.
- Introduced ToolExecutionContext and ToolExecutor interfaces for better type management.
- Created utility functions to generate tool proxies with JSON schema support.
- Added ExtendedJsonSchema type for enhanced schema definitions.
- Updated existing toolkits to utilize the new schema and executor functionalities.
- Introduced a comprehensive tool definitions registry for managing various tool schemas.

chore: update @librechat/agents to version 3.1.2

refactor: enhance tool loading optimization and classification

- Improved the loadAgentToolsOptimized function to utilize a proxy pattern for all tools, enabling deferred execution and reducing overhead.
- Introduced caching for tool instances and refined tool classification logic to streamline tool management.
- Updated the handling of MCP tools to improve logging and error reporting for missing tools in the cache.
- Enhanced the structure of tool definitions to support better classification and integration with existing tools.

refactor: modularize tool loading and enhance optimization

- Moved the loadAgentToolsOptimized function to a new service file for better organization and maintainability.
- Updated the ToolService to utilize the new service for optimized tool loading, improving code clarity.
- Removed legacy tool loading methods and streamlined the tool loading process to enhance performance and reduce complexity.
- Introduced feature flag handling for optimized tool loading, allowing for easier toggling of this functionality.

refactor: replace loadAgentToolsWithFlag with loadAgentTools in tool loader

refactor: enhance MCP tool loading with proxy creation and classification

refactor: optimize MCP tool loading by grouping tools by server

- Introduced a Map to group cached tools by server name, improving the organization of tool data.
- Updated the createMCPProxyTool function to accept server name directly, enhancing clarity.
- Refactored the logic for handling MCP tools, streamlining the process of creating proxy tools for classification.

refactor: enhance MCP tool loading and proxy creation

- Added functionality to retrieve MCP server tools and reinitialize servers if necessary, improving tool availability.
- Updated the tool loading logic to utilize a Map for organizing tools by server, enhancing clarity and performance.
- Refactored the createToolProxy function to ensure a default response format, streamlining tool creation.

refactor: update createToolProxy to ensure consistent response format

- Modified the createToolProxy function to await the executor's execution and validate the result format.
- Ensured that the function returns a default response structure when the result is not an array of two elements, enhancing reliability in tool proxy creation.

refactor: ToolExecutionContext with toolCall property

- Added toolCall property to ToolExecutionContext interface for improved context handling during tool execution.
- Updated LocalToolExecutor to include toolCall in the runnable configuration, allowing for more flexible tool invocation.
- Modified createToolProxy to pass toolCall from the configuration, ensuring consistent context across tool executions.

refactor: enhance event-driven tool execution and logging

- Introduced ToolExecuteOptions for improved handling of event-driven tool execution, allowing for parallel execution of tool calls.
- Updated getDefaultHandlers to include support for ON_TOOL_EXECUTE events, enhancing the flexibility of tool invocation.
- Added detailed logging in LocalToolExecutor to track tool loading and execution metrics, improving observability and debugging capabilities.
- Refactored initializeClient to integrate event-driven tool loading, ensuring compatibility with the new execution model.

chore: update @librechat/agents to version 3.1.21

refactor: remove legacy tool loading and executor components

- Eliminated the loadAgentToolsWithFlag function, simplifying the tool loading process by directly using loadAgentTools.
- Removed the LocalToolExecutor and related executor components to streamline the tool execution architecture.
- Updated ToolService and related files to reflect the removal of deprecated features, enhancing code clarity and maintainability.

refactor: enhance tool classification and definitions handling

- Updated the loadAgentTools function to return toolDefinitions alongside toolRegistry, improving the structure of tool data returned to clients.
- Removed the convertRegistryToDefinitions function from the initialize.js file, simplifying the initialization process.
- Adjusted the buildToolClassification function to ensure toolDefinitions are built and returned simultaneously with the toolRegistry, enhancing efficiency in tool management.
- Updated type definitions in initialize.ts to include toolDefinitions, ensuring consistency across the codebase.

refactor: implement event-driven tool execution handler

- Introduced createToolExecuteHandler function to streamline the handling of ON_TOOL_EXECUTE events, allowing for parallel execution of tool calls.
- Updated getDefaultHandlers to utilize the new handler, simplifying the event-driven architecture.
- Added handlers.ts file to encapsulate tool execution logic, improving code organization and maintainability.
- Enhanced OpenAI handlers to integrate the new tool execution capabilities, ensuring consistent event handling across the application.

refactor: integrate event-driven tool execution options

- Added toolExecuteOptions to support event-driven tool execution in OpenAI and responses controllers, enhancing flexibility in tool handling.
- Updated handlers to utilize createToolExecuteHandler, allowing for streamlined execution of tools during agent interactions.
- Refactored service dependencies to include toolExecuteOptions, ensuring consistent integration across the application.

refactor: enhance tool loading with definitionsOnly parameter

- Updated createToolLoader and loadAgentTools functions to include a definitionsOnly parameter, allowing for the retrieval of only serializable tool definitions in event-driven mode.
- Adjusted related interfaces and documentation to reflect the new parameter, improving clarity and flexibility in tool management.
- Ensured compatibility across various components by integrating the definitionsOnly option in the initialization process.

refactor: improve agent tool presence check in initialization

- Added a check for tool presence using a new hasAgentTools variable, which evaluates both structuredTools and toolDefinitions.
- Updated the conditional logic in the agent initialization process to utilize the hasAgentTools variable, enhancing clarity and maintainability in tool management.

refactor: enhance agent tool extraction to support tool definitions

- Updated the extractMCPServers function to handle both tool instances and serializable tool definitions, improving flexibility in agent tool management.
- Added a new property toolDefinitions to the AgentWithTools type for better integration of event-driven mode.
- Enhanced documentation to clarify the function's capabilities in extracting unique MCP server names from both tools and tool definitions.

refactor: enhance tool classification and registry building

- Added serverName property to ToolDefinition for improved tool identification.
- Introduced buildToolRegistry function to streamline the creation of tool registries based on MCP tool definitions and agent options.
- Updated buildToolClassification to utilize the new registry building logic, ensuring basic definitions are returned even when advanced classification features are not allowed.
- Enhanced documentation and logging for clarity in tool classification processes.

refactor: update @librechat/agents dependency to version 3.1.22

fix: expose loadTools function in ToolService

- Added loadTools function to the exported module in ToolService.js, enhancing the accessibility of tool loading functionality.

chore: remove configurable options from tool execute options in OpenAI controller

refactor: enhance tool loading mechanism to utilize agent-specific context

chore: update @librechat/agents dependency to version 3.1.23

fix: simplify result handling in createToolExecuteHandler

* refactor: loadToolDefinitions for efficient tool loading in event-driven mode

* refactor: replace legacy tool loading with loadToolsForExecution in OpenAI and responses controllers

- Updated OpenAIChatCompletionController and createResponse functions to utilize loadToolsForExecution for improved tool loading.
- Removed deprecated loadToolsLegacy references, streamlining the tool execution process.
- Enhanced tool loading options to include agent-specific context and configurations.

* refactor: enhance tool loading and execution handling

- Introduced loadActionToolsForExecution function to streamline loading of action tools, improving organization and maintainability.
- Updated loadToolsForExecution to handle both regular and action tools, optimizing the tool loading process.
- Added detailed logging for missing tools in createToolExecuteHandler, enhancing error visibility.
- Refactored tool definitions to normalize action tool names, improving consistency in tool management.

* refactor: enhance built-in tool definitions loading

- Updated loadToolDefinitions to include descriptions and parameters from the tool registry for built-in tools, improving the clarity and usability of tool definitions.
- Integrated getToolDefinition to streamline the retrieval of tool metadata, enhancing the overall tool management process.

* feat: add action tool definitions loading to tool service

- Introduced getActionToolDefinitions function to load action tool definitions based on agent ID and tool names, enhancing the tool loading process.
- Updated loadToolDefinitions to integrate action tool definitions, allowing for better management and retrieval of action-specific tools.
- Added comprehensive tests for action tool definitions to ensure correct loading and parameter handling, improving overall reliability and functionality.

* chore: update @librechat/agents dependency to version 3.1.26

* refactor: add toolEndCallback to handle tool execution results

* fix: tool definitions and execution handling

- Introduced native tools (execute_code, file_search, web_search) to the tool service, allowing for better integration and management of these tools.
- Updated isBuiltInTool function to include native tools in the built-in check, improving tool recognition.
- Added comprehensive tests for loading parameters of native tools, ensuring correct functionality and parameter handling.
- Enhanced tool definitions registry to include new agent tool definitions, streamlining tool retrieval and management.

* refactor: enhance tool loading and execution context

- Added toolRegistry to the context for OpenAIChatCompletionController and createResponse functions, improving tool management.
- Updated loadToolsForExecution to utilize toolRegistry for better integration of programmatic tools and tool search functionalities.
- Enhanced the initialization process to include toolRegistry in agent context, streamlining tool access and configuration.
- Refactored tool classification logic to support event-driven execution, ensuring compatibility with new tool definitions.

* chore: add request duration logging to OpenAI and Responses controllers

- Introduced logging for request start and completion times in OpenAIChatCompletionController and createResponse functions.
- Calculated and logged the duration of each request, enhancing observability and performance tracking.
- Improved debugging capabilities by providing detailed logs for both streaming and non-streaming responses.

* chore: update @librechat/agents dependency to version 3.1.27

* refactor: implement buildToolSet function for tool management

- Introduced buildToolSet function to streamline the creation of tool sets from agent configurations, enhancing tool management across various controllers.
- Updated AgentClient, OpenAIChatCompletionController, and createResponse functions to utilize buildToolSet, improving consistency in tool handling.
- Added comprehensive tests for buildToolSet to ensure correct functionality and edge case handling, enhancing overall reliability.

* refactor: update import paths for ToolExecuteOptions and createToolExecuteHandler

* fix: update GoogleSearch.js description for maximum search results

- Changed the default maximum number of search results from 10 to 5 in the Google Search JSON schema description, ensuring accurate documentation of the expected behavior.

* chore: remove deprecated Browser tool and associated assets

- Deleted the Browser tool definition from manifest.json, which included its name, plugin key, description, and authentication configuration.
- Removed the web-browser.svg asset as it is no longer needed following the removal of the Browser tool.

* fix: ensure tool definitions are valid before processing

- Added a check to verify the existence of tool definitions in the registry before accessing their properties, preventing potential runtime errors.
- Updated the loading logic for built-in tool definitions to ensure that only valid definitions are pushed to the built-in tool definitions array.

* fix: extend ExtendedJsonSchema to support 'null' type and nullable enums

- Updated the ExtendedJsonSchema type to include 'null' as a valid type option.
- Modified the enum property to accept an array of values that can include strings, numbers, booleans, and null, enhancing schema flexibility.

* test: add comprehensive tests for tool definitions loading and registry behavior

- Implemented tests to verify the handling of built-in tools without registry definitions, ensuring they are skipped correctly.
- Added tests to confirm that built-in tools include descriptions and parameters in the registry.
- Enhanced tests for action tools, checking for proper inclusion of metadata and handling of tools without parameters in the registry.

* test: add tests for mixed-type and number enum schema handling

- Introduced tests to validate the parsing of mixed-type enum values, including strings, numbers, booleans, and null.
- Added tests for number enum schema values to ensure correct parsing of numeric inputs, enhancing schema validation coverage.

* fix: update mock implementation for @librechat/agents

- Changed the mock for @librechat/agents to spread the actual module's properties, ensuring that all necessary functionalities are preserved in tests.
- This adjustment enhances the accuracy of the tests by reflecting the real structure of the module.

* fix: change max_results type in GoogleSearch schema from number to integer

- Updated the type of max_results in the Google Search JSON schema to 'integer' for better type accuracy and validation consistency.

* fix: update max_results description and type in GoogleSearch schema

- Changed the type of max_results from 'number' to 'integer' for improved type accuracy.
- Updated the description to reflect the new default maximum number of search results, changing it from 10 to 5.

* refactor: remove unused code and improve tool registry handling

- Eliminated outdated comments and conditional logic related to event-driven mode in the ToolService.
- Enhanced the handling of the tool registry by ensuring it is configurable for better integration during tool execution.

* feat: add definitionsOnly option to buildToolClassification for event-driven mode

- Introduced a new parameter, definitionsOnly, to the BuildToolClassificationParams interface to enable a mode that skips tool instance creation.
- Updated the buildToolClassification function to conditionally add tool definitions without instantiating tools when definitionsOnly is true.
- Modified the loadToolDefinitions function to pass definitionsOnly as true, ensuring compatibility with the new feature.

* test: add unit tests for buildToolClassification with definitionsOnly option

- Implemented tests to verify the behavior of buildToolClassification when definitionsOnly is set to true or false.
- Ensured that tool instances are not created when definitionsOnly is true, while still adding necessary tool definitions.
- Confirmed that loadAuthValues is called appropriately based on the definitionsOnly parameter, enhancing test coverage for this new feature.
2026-02-01 08:50:57 -05:00
David Newman
a95fea19bb
🌅 fix: Agent Avatar S3 URL Refresh Pagination and Persistence (#11323)
* Refresh all S3 avatars for this user's accessible agent set, not the first page

* Cleaner debug messages

* Log errors as errors

* refactor: avatar refresh logic to process agents in batches and improve error handling. Introduced new utility functions for refreshing S3 avatars and updating agent records. Updated tests to cover various scenarios including cache hits, user ownership checks, and error handling. Added constants for maximum refresh limits.

* refactor: update avatar refresh logic to allow users with VIEW access to refresh avatars for all accessible agents. Removed checks for agent ownership and author presence, and updated related tests to reflect new behavior.

* chore: Remove YouTube toolkit due to #11331

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2026-01-13 13:01:11 -05:00
Joseph Licata
200098d992
🍌 feat: Gemini Image Generation Tool (Nano Banana) (#10676)
* 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.

---------

Co-authored-by: Dev Bhanushali <dev.bhanushali@hingehealth.com>
Co-authored-by: Danny Avila <danny@librechat.ai>
2026-01-03 11:26:46 -05:00
Danny Avila
667e78c51e
📦 chore: Remove @langchain/community & Related Legacy Code (#10375)
* chore: remove `@langchain/community` dependency

* refactor: remove SerpAPI integration and update related imports

* chore: remove legacy code with unnecessary dependencies

* chore: cleanup packages

* chore: cleanup packages

* chore: update openai dependency version to 5.10.1

* chore: add back @librechat/agents dependency

* chore: downgrade openai dependency from 5.10.1 to 5.8.2

* Remove dependency on @librechat/agents from the API package

* chore: add @librechat/agents dependency to the API package

* fix: add useLegacyContent property to RunAgent type and propagate it in createRun function

* chore: remove openai dependency version 5.10.1 from package.json
2025-11-05 19:24:36 -05:00
Danny Avila
9a210971f5
🛜 refactor: Streamline App Config Usage (#9234)
* WIP: app.locals refactoring

WIP: appConfig

fix: update memory configuration retrieval to use getAppConfig based on user role

fix: update comment for AppConfig interface to clarify purpose

🏷️ refactor: Update tests to use getAppConfig for endpoint configurations

ci: Update AppService tests to initialize app config instead of app.locals

ci: Integrate getAppConfig into remaining tests

refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests

refactor: Rename initializeAppConfig to setAppConfig and update related tests

ci: Mock getAppConfig in various tests to provide default configurations

refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests

chore: rename `Config/getAppConfig` -> `Config/app`

fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters

chore: correct parameter documentation for imageOutputType in ToolService.js

refactor: remove `getCustomConfig` dependency in config route

refactor: update domain validation to use appConfig for allowed domains

refactor: use appConfig registration property

chore: remove app parameter from AppService invocation

refactor: update AppConfig interface to correct registration and turnstile configurations

refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services

refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files

refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type

refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration

ci: update related tests

refactor: update getAppConfig call in getCustomConfigSpeech to include user role

fix: update appConfig usage to access allowedDomains from actions instead of registration

refactor: enhance AppConfig to include fileStrategies and update related file strategy logic

refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions

chore: remove deprecated unused RunManager

refactor: get balance config primarily from appConfig

refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic

refactor: remove getCustomConfig usage and use app config in file citations

refactor: consolidate endpoint loading logic into loadEndpoints function

refactor: update appConfig access to use endpoints structure across various services

refactor: implement custom endpoints configuration and streamline endpoint loading logic

refactor: update getAppConfig call to include user role parameter

refactor: streamline endpoint configuration and enhance appConfig usage across services

refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file

refactor: add type annotation for loadedEndpoints in loadEndpoints function

refactor: move /services/Files/images/parse to TS API

chore: add missing FILE_CITATIONS permission to IRole interface

refactor: restructure toolkits to TS API

refactor: separate manifest logic into its own module

refactor: consolidate tool loading logic into a new tools module for startup logic

refactor: move interface config logic to TS API

refactor: migrate checkEmailConfig to TypeScript and update imports

refactor: add FunctionTool interface and availableTools to AppConfig

refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig`

WIP: fix tests

* fix: rebase conflicts

* refactor: remove app.locals references

* refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware

* refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients

* test: add balance configuration to titleConvo method in AgentClient tests

* chore: remove unused `openai-chat-tokens` package

* chore: remove unused imports in initializeMCPs.js

* refactor: update balance configuration to use getAppConfig instead of getBalanceConfig

* refactor: integrate configMiddleware for centralized configuration handling

* refactor: optimize email domain validation by removing unnecessary async calls

* refactor: simplify multer storage configuration by removing async calls

* refactor: reorder imports for better readability in user.js

* refactor: replace getAppConfig calls with req.config for improved performance

* chore: replace getAppConfig calls with req.config in tests for centralized configuration handling

* chore: remove unused override config

* refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config

* chore: remove customConfig parameter from TTSService constructor

* refactor: pass appConfig from request to processFileCitations for improved configuration handling

* refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config`

* test: add mockAppConfig to processFileCitations tests for improved configuration handling

* fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor

* fix: type safety in useExportConversation

* refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached

* chore: change `MongoUser` typedef to `IUser`

* fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest

* fix: remove unused setAppConfig mock from Server configuration tests
2025-08-26 12:10:18 -04:00