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72 commits
| Author | SHA1 | Message | Date | |
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Marco Beretta
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32808e5dd2
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test(tools): move get_location specs to specs/ and assert real tool registration | ||
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Marco Beretta
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f2379f7327
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fix(tools): register get_location in availableTools and refine location UX | ||
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Marco Beretta
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362ac158d6
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feat(tools): add get_location built-in agent tool | ||
Danny Avila
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98704f28c1
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🌐 fix: Centralize Outbound Proxy Handling (#13726)
* fix: centralize outbound proxy handling * chore: sort proxy imports * test: update proxy helper mocks * fix: honor proxy bypasses consistently * fix: support http axios proxy targets |
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Pedro Reis
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82f7200f7d
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🌍 fix: Prefer Imagen-Specific Location over Default Google Region (#13613) | ||
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Danny Avila
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9dd062e42e
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🧯 fix: Harden Data Retention Semantics (#13049)
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* feat: support data retention for normal chats Add retentionMode config variable supporting "all" and "temporary" values. When "all" is set, data retention applies to all chats, not just temporary ones. Adds isTemporary field to conversations for proper filtering. Adapted to new TS method files in packages/data-schemas since upstream moved models out of api/models/. Based on danny-avila/LibreChat#10532 Co-Authored-By: WhammyLeaf <233105313+WhammyLeaf@users.noreply.github.com> (cherry picked from commit |
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Danny Avila
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9c81792d25
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🔐 feat: Add Signed CloudFront File Downloads (#12970)
* feat: add signed CloudFront downloads * fix: preserve local IdP avatar paths * fix: address signed download review findings * fix: harden CloudFront cookie scope validation * fix: preserve URL save API compatibility * fix: store CDN SSO avatars under shared prefix * fix: Harden CloudFront tenant file access * fix: Preserve CloudFront download compatibility * fix: Address CloudFront review follow-ups * fix: Preserve file URL fallback user paths * fix: Address download review hardening * fix: Use file owner for S3 RAG cleanup * fix: Address final download review nits * fix: Clear stale avatar CloudFront cookies * fix: Align download filename helpers with dev * fix: Address final CloudFront review follow-ups * fix: Stream S3 URL uploads * fix: Set S3 stream upload length * fix: Preserve download metadata filepath * fix: Avoid remote content length for stream uploads * fix: Use bounded multipart URL uploads * fix: Harden S3 filename boundaries |
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Danny Avila
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1b79e0b785
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🧬 chore: Align LibreChat With Agents LangChain Upgrade (#12922)
* 🔧 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 |
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Danny Avila
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8ba2bde5c1
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📦 refactor: Consolidate DB models, encapsulating Mongoose usage in data-schemas (#11830)
* 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`. |
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Danny Avila
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a88bfae4dd
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🖼️ fix: Correct ToolMessage Response Format for Agent-Mode Image Tools (#12310)
* fix: Set response format for agent tools in DALLE3, FluxAPI, and StableDiffusion classes - Added logic to set `responseFormat` to 'content_and_artifact' when `isAgent` is true in DALLE3.js, FluxAPI.js, and StableDiffusion.js. * test: Add regression tests for image tool agent mode in imageTools-agent.spec.js - Introduced a new test suite for DALLE3, FluxAPI, and StableDiffusion classes to verify that the invoke() method returns a ToolMessage with base64 in artifact.content, ensuring it is not serialized into content. - Validated that responseFormat is set to 'content_and_artifact' when isAgent is true, and confirmed the correct handling of base64 data in the response. * fix: handle agent error paths and generateFinetunedImage in image tools - StableDiffusion._call() was returning a raw string on API error, bypassing returnValue() and breaking the content_and_artifact contract when isAgent is true - FluxAPI.generateFinetunedImage() had no isAgent branch; it would call processFileURL (unset in agent context) instead of fetching and returning the base64 image as an artifact tuple - Add JSDoc to all three responseFormat assignments clarifying why LangChain requires this property for correct ToolMessage construction * test: expand image tool agent mode regression suite - Add env var save/restore in beforeEach/afterEach to prevent test pollution - Add error path tests for all three tools verifying ToolMessage content and artifact are correctly populated when the upstream API fails - Add generate_finetuned action test for FluxAPI covering the new agent branch in generateFinetunedImage * chore: fix lint errors in FluxAPI and imageTools-agent spec * chore: fix import ordering in imageTools-agent spec |
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Danny Avila
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9a5d7eaa4e
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⚡ refactor: Replace tiktoken with ai-tokenizer (#12175)
* chore: Update dependencies by adding ai-tokenizer and removing tiktoken - Added ai-tokenizer version 1.0.6 to package.json and package-lock.json across multiple packages. - Removed tiktoken version 1.0.15 from package.json and package-lock.json in the same locations, streamlining dependency management. * refactor: replace js-tiktoken with ai-tokenizer - Added support for 'claude' encoding in the AgentClient class to improve model compatibility. - Updated Tokenizer class to utilize 'ai-tokenizer' for both 'o200k_base' and 'claude' encodings, replacing the previous 'tiktoken' dependency. - Refactored tests to reflect changes in tokenizer behavior and ensure accurate token counting for both encoding types. - Removed deprecated references to 'tiktoken' and adjusted related tests for improved clarity and functionality. * chore: remove tiktoken mocks from DALLE3 tests - Eliminated mock implementations of 'tiktoken' from DALLE3-related test files to streamline test setup and align with recent dependency updates. - Adjusted related test structures to ensure compatibility with the new tokenizer implementation. * chore: Add distinct encoding support for Anthropic Claude models - Introduced a new method `getEncoding` in the AgentClient class to handle the specific BPE tokenizer for Claude models, ensuring compatibility with the distinct encoding requirements. - Updated documentation to clarify the encoding logic for Claude and other models. * docs: Update return type documentation for getEncoding method in AgentClient - Clarified the return type of the getEncoding method to specify that it can return an EncodingName or undefined, enhancing code readability and type safety. * refactor: Tokenizer class and error handling - Exported the EncodingName type for broader usage. - Renamed encodingMap to encodingData for clarity. - Improved error handling in getTokenCount method to ensure recovery attempts are logged and return 0 on failure. - Updated countTokens function documentation to specify the use of 'o200k_base' encoding. * refactor: Simplify encoding documentation and export type - Updated the getEncoding method documentation to clarify the default behavior for non-Anthropic Claude models. - Exported the EncodingName type separately from the Tokenizer module for improved clarity and usage. * test: Update text processing tests for token limits - Adjusted test cases to handle smaller text sizes, changing scenarios from ~120k tokens to ~20k tokens for both the real tokenizer and countTokens functions. - Updated token limits in tests to reflect new constraints, ensuring tests accurately assess performance and call reduction. - Enhanced console log messages for clarity regarding token counts and reductions in the updated scenarios. * refactor: Update Tokenizer imports and exports - Moved Tokenizer and countTokens exports to the tokenizer module for better organization. - Adjusted imports in memory.ts to reflect the new structure, ensuring consistent usage across the codebase. - Updated memory.test.ts to mock the Tokenizer from the correct module path, enhancing test accuracy. * refactor: Tokenizer initialization and error handling - Introduced an async `initEncoding` method to preload tokenizers, improving performance and accuracy in token counting. - Updated `getTokenCount` to handle uninitialized tokenizers more gracefully, ensuring proper recovery and logging on errors. - Removed deprecated synchronous tokenizer retrieval, streamlining the overall tokenizer management process. * test: Enhance tokenizer tests with initialization and encoding checks - Added `beforeAll` hooks to initialize tokenizers for 'o200k_base' and 'claude' encodings before running tests, ensuring proper setup. - Updated tests to validate the loading of encodings and the correctness of token counts for both 'o200k_base' and 'claude'. - Improved test structure to deduplicate concurrent initialization calls, enhancing performance and reliability. |
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Danny Avila
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8b159079f5
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🪙 feat: Add messageId to Transactions (#11987)
* 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 |
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Danny Avila
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f3eb197675
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💎 fix: Gemini Image Gen Tool Vertex AI Auth and File Storage (#11923)
* 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. |
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Danny Avila
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5af1342dbb
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🦥 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. |
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heptapod
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774f1f2cc2
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🗑️ chore: Remove YouTube API integration (#11331)
* 🗑️ refactor: Remove YouTube API integration and related configurations as it's broken and should be integrated via MCP instead. Currently there seems not to be a single MCP out there with working get_transcript methods for months. API seems to have changed and there are no maintainers on these projects. We will work out something soon an MCP solution - Deleted YouTube API key and related configurations from .env.example. - Removed YouTube tools and their references from the API client, including the manifest and structured files. - Updated package.json to remove YouTube-related dependencies. - Cleaned up toolkit exports by removing YouTube toolkit references. * chore: revert package removal to properly remove packages * 🗑️ refactor: Remove YouTube API and related dependencies due to integration issues --------- Co-authored-by: Danny Avila <danny@librechat.ai> |
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Joseph Licata
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fc6f127b21
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🌉 fix: Add Proxy Support to Gemini Image Gen Tool (#11302)
* ✨ 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>
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Joseph Licata
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200098d992
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🍌 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> |
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Dustin Healy
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b7ea340769
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🏞️ feat: Modifiable OpenAI Image Gen Model Environment Variable (#11082) | ||
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Danny Avila
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f9060fa25f
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🔧 chore: Update ESLint Config & Run Linter (#10986) | ||
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Danny Avila
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04a4a2aa44
|
🧵 refactor: Migrate Endpoint Initialization to TypeScript (#10794)
* refactor: move endpoint initialization methods to typescript * refactor: move agent init to packages/api - Introduced `initialize.ts` for agent initialization, including file processing and tool loading. - Updated `resources.ts` to allow optional appConfig parameter. - Enhanced endpoint configuration handling in various initialization files to support model parameters. - Added new artifacts and prompts for React component generation. - Refactored existing code to improve type safety and maintainability. * refactor: streamline endpoint initialization and enhance type safety - Updated initialization functions across various endpoints to use a consistent request structure, replacing `unknown` types with `ServerResponse`. - Simplified request handling by directly extracting keys from the request body. - Improved type safety by ensuring user IDs are safely accessed with optional chaining. - Removed unnecessary parameters and streamlined model options handling for better clarity and maintainability. * refactor: moved ModelService and extractBaseURL to packages/api - Added comprehensive tests for the models fetching functionality, covering scenarios for OpenAI, Anthropic, Google, and Ollama models. - Updated existing endpoint index to include the new models module. - Enhanced utility functions for URL extraction and model data processing. - Improved type safety and error handling across the models fetching logic. * refactor: consolidate utility functions and remove unused files - Merged `deriveBaseURL` and `extractBaseURL` into the `@librechat/api` module for better organization. - Removed redundant utility files and their associated tests to streamline the codebase. - Updated imports across various client files to utilize the new consolidated functions. - Enhanced overall maintainability by reducing the number of utility modules. * refactor: replace ModelService references with direct imports from @librechat/api and remove ModelService file * refactor: move encrypt/decrypt methods and key db methods to data-schemas, use `getProviderConfig` from `@librechat/api` * chore: remove unused 'res' from options in AgentClient * refactor: file model imports and methods - Updated imports in various controllers and services to use the unified file model from '~/models' instead of '~/models/File'. - Consolidated file-related methods into a new file methods module in the data-schemas package. - Added comprehensive tests for file methods including creation, retrieval, updating, and deletion. - Enhanced the initializeAgent function to accept dependency injection for file-related methods. - Improved error handling and logging in file methods. * refactor: streamline database method references in agent initialization * refactor: enhance file method tests and update type references to IMongoFile * refactor: consolidate database method imports in agent client and initialization * chore: remove redundant import of initializeAgent from @librechat/api * refactor: move checkUserKeyExpiry utility to @librechat/api and update references across endpoints * refactor: move updateUserPlugins logic to user.ts and simplify UserController * refactor: update imports for user key management and remove UserService * refactor: remove unused Anthropics and Bedrock endpoint files and clean up imports * refactor: consolidate and update encryption imports across various files to use @librechat/data-schemas * chore: update file model mock to use unified import from '~/models' * chore: import order * refactor: remove migrated to TS agent.js file and its associated logic from the endpoints * chore: add reusable function to extract imports from source code in unused-packages workflow * chore: enhance unused-packages workflow to include @librechat/api dependencies and improve dependency extraction * chore: improve dependency extraction in unused-packages workflow with enhanced error handling and debugging output * chore: add detailed debugging output to unused-packages workflow for better visibility into unused dependencies and exclusion lists * chore: refine subpath handling in unused-packages workflow to correctly process scoped and non-scoped package imports * chore: clean up unused debug output in unused-packages workflow and reorganize type imports in initialize.ts |
||
|
Danny Avila
|
1477da4987
|
🖥️ feat: Add Proxy Support for Tavily API Tool (#10770)
* 🖥️ feat: Add Proxy Support for Tavily API Tool
- Integrated ProxyAgent from undici to enable proxy support for API requests in TavilySearch and TavilySearchResults.
- Updated fetch options to conditionally include the proxy configuration based on the environment variable, enhancing flexibility for network requests.
* ci: TavilySearchResults with Proxy Support Tests
- Added tests to verify the integration of ProxyAgent for API requests in TavilySearchResults.
- Implemented conditional logic to check for the PROXY environment variable, ensuring correct usage of ProxyAgent based on its presence.
- Updated test setup to clear mocks before each test for improved isolation and reliability.
|
||
catmeme
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7aa8d49f3a
|
🧭 fix: Add Base Path Support for Login/Register and Image Paths (#10116)
* fix: add basePath pattern to support login/register and image paths * Fix linter errors * refactor: Update import statements for getBasePath and isEnabled, and add path utility functions with tests - Refactored imports in addImages.js and StableDiffusion.js to use getBasePath from '@librechat/api'. - Consolidated isEnabled and getBasePath imports in validateImageRequest.js. - Introduced new path utility functions in path.ts and corresponding unit tests in path.spec.ts to validate base path extraction logic. * fix: Update domain server base URL in MarkdownComponents and refactor authentication redirection logic - Changed the domain server base URL in MarkdownComponents.tsx to use the API base URL. - Refactored the useAuthRedirect hook to utilize React Router's navigate for redirection instead of window.location, ensuring a smoother SPA experience. - Added unit tests for the useAuthRedirect hook to verify authentication redirection behavior. * test: Mock isEnabled in validateImages.spec.js for improved test isolation - Updated validateImages.spec.js to mock the isEnabled function from @librechat/api, ensuring that tests can run independently of the actual implementation. - Cleared the DOMAIN_CLIENT environment variable before tests to avoid interference with basePath resolution. --------- Co-authored-by: Danny Avila <danny@librechat.ai> |
||
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Danny Avila
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0e05ff484f
|
🔄 refactor: OAI Image Edit Proxy, Speech Settings Handling, Import Query Data Usage (#10281)
* chore: correct startupConfig usage in ImportConversations component * refactor: properly process configured speechToText and textToSpeech settings in getCustomConfigSpeech * refactor: proxy configuration by utilizing HttpsProxyAgent for OpenAI Image Edits |
||
alfo-dev
|
7897801fbc
|
🧱 fix: DALL-E Proxy Bypass (#9971) | ||
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Danny Avila
|
dbe4dd96b4
|
🧹 chore: Cleanup Logger and Utility Imports (#9935)
* 🧹 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 |
||
|
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
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||
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Danny Avila
|
8e6eef04ab
|
🔧 fix: Update Proxy Config for OpenAI Image Tools (#8712)
- Replaced HttpsProxyAgent with ProxyAgent from undici for improved proxy handling in DALLE3.js and OpenAIImageTools.js. - Updated fetchOptions to use dispatcher for proxy configuration. - Added new test suite for DALLE3 to verify proxy configuration behavior based on environment variables. |
||
|
Danny Avila
|
d39b99971f
|
🧠 fix: Agent Title Config & Resource Handling (#8028)
* 🔧 fix: enhance client options handling in AgentClient and set default recursion limit
- Updated the recursion limit to default to 25 if not specified in agentsEConfig.
- Enhanced client options in AgentClient to include model parameters such as apiKey and anthropicApiUrl from agentModelParams.
- Updated requestOptions in the anthropic endpoint to use reverseProxyUrl as anthropicApiUrl.
* Enhance LLM configuration tests with edge case handling
* chore add return type annotation for getCustomEndpointConfig function
* fix: update modelOptions handling to use optional chaining and default to empty object in multiple endpoint initializations
* chore: update @librechat/agents to version 2.4.42
* refactor: streamline agent endpoint configuration and enhance client options handling for title generations
- Introduced a new `getProviderConfig` function to centralize provider configuration logic.
- Updated `AgentClient` to utilize the new provider configuration, improving clarity and maintainability.
- Removed redundant code related to endpoint initialization and model parameter handling.
- Enhanced error logging for missing endpoint configurations.
* fix: add abort handling for image generation and editing in OpenAIImageTools
* ci: enhance getLLMConfig tests to verify fetchOptions and dispatcher properties
* fix: use optional chaining for endpointOption properties in getOptions
* fix: increase title generation timeout from 25s to 45s, pass `endpointOption` to `getOptions`
* fix: update file filtering logic in getToolFilesByIds to ensure text field is properly checked
* fix: add error handling for empty OCR results in uploadMistralOCR and uploadAzureMistralOCR
* fix: enhance error handling in file upload to include 'No OCR result' message
* chore: update error messages in uploadMistralOCR and uploadAzureMistralOCR
* fix: enhance filtering logic in getToolFilesByIds to include context checks for OCR resources to only include files directly attached to agent
---------
Co-authored-by: Matt Burnett <matt.burnett@shopify.com>
|
||
|
Danny Avila
|
5f2d1c5dc9
|
👁️ feat: Azure Mistral OCR Strategy (#7888)
* 👁️ feat: Add Azure Mistral OCR strategy and endpoint integration This commit introduces a new OCR strategy named 'azure_mistral_ocr', allowing the use of a Mistral OCR endpoint deployed on Azure. The configuration, schemas, and file upload strategies have been updated to support this integration, enabling seamless OCR processing via Azure-hosted Mistral services. * 🗑️ chore: Clean up .gitignore by removing commented-out uncommon directory name * chore: remove unused vars * refactor: Move createAxiosInstance to packages/api/utils and update imports - Removed the createAxiosInstance function from the config module and relocated it to a new utils module for better organization. - Updated import paths in relevant files to reflect the new location of createAxiosInstance. - Added tests for createAxiosInstance to ensure proper functionality and proxy configuration handling. * chore: move axios helpers to packages/api - Added logAxiosError function to @librechat/api for centralized error logging. - Updated imports across various files to use the new logAxiosError function. - Removed the old axios.js utility file as it is no longer needed. * chore: Update Jest moduleNameMapper for improved path resolution - Added a new mapping for '~/' to resolve module paths in Jest configuration, enhancing import handling for the project. * feat: Implement Mistral OCR API integration in TS * chore: Update MistralOCR tests based on new imports * fix: Enhance MistralOCR configuration handling and tests - Introduced helper functions for resolving configuration values from environment variables or hardcoded settings. - Updated the uploadMistralOCR and uploadAzureMistralOCR functions to utilize the new configuration resolution logic. - Improved test cases to ensure correct behavior when mixing environment variables and hardcoded values. - Mocked file upload and signed URL responses in tests to validate functionality without external dependencies. * feat: Enhance MistralOCR functionality with improved configuration and error handling - Introduced helper functions for loading authentication configuration and resolving values from environment variables. - Updated uploadMistralOCR and uploadAzureMistralOCR functions to utilize the new configuration logic. - Added utility functions for processing OCR results and creating error messages. - Improved document type determination and result aggregation for better OCR processing. * refactor: Reorganize OCR type imports in Mistral CRUD file - Moved OCRResult, OCRResultPage, and OCRImage imports to a more logical grouping for better readability and maintainability. * feat: Add file exports to API and create files index * chore: Update OCR types for enhanced structure and clarity - Redesigned OCRImage interface to include mandatory fields and improved naming conventions. - Added PageDimensions interface for better representation of page metrics. - Updated OCRResultPage to include dimensions and mandatory images array. - Refined OCRResult to include document annotation and usage information. * refactor: use TS counterpart of uploadOCR methods * ci: Update MistralOCR tests to reflect new OCR result structure * chore: Bump version of @librechat/api to 1.2.3 in package.json and package-lock.json * chore: Update CONFIG_VERSION to 1.2.8 * chore: remove unused sendEvent function from config module (now imported from '@librechat/api') * chore: remove MistralOCR service files and tests (now in '@librechat/api') * ci: update logger import in ModelService tests to use @librechat/data-schemas --------- Co-authored-by: arthurolivierfortin <arthurolivier.fortin@gmail.com> |
||
|
Danny Avila
|
29ef91b4dd
|
🧠 feat: User Memories for Conversational Context (#7760)
* 🧠 feat: User Memories for Conversational Context
chore: mcp typing, use `t`
WIP: first pass, Memories UI
- Added MemoryViewer component for displaying, editing, and deleting user memories.
- Integrated data provider hooks for fetching, updating, and deleting memories.
- Implemented pagination and loading states for better user experience.
- Created unit tests for MemoryViewer to ensure functionality and interaction with data provider.
- Updated translation files to include new UI strings related to memories.
chore: move mcp-related files to own directory
chore: rename librechat-mcp to librechat-api
WIP: first pass, memory processing and data schemas
chore: linting in fileSearch.js query description
chore: rename librechat-api to @librechat/api across the project
WIP: first pass, functional memory agent
feat: add MemoryEditDialog and MemoryViewer components for managing user memories
- Introduced MemoryEditDialog for editing memory entries with validation and toast notifications.
- Updated MemoryViewer to support editing and deleting memories, including pagination and loading states.
- Enhanced data provider to handle memory updates with optional original key for better management.
- Added new localization strings for memory-related UI elements.
feat: add memory permissions management
- Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories.
- Added new API endpoints for updating memory permissions associated with roles.
- Created a new AdminSettings component for managing memory permissions in the frontend.
- Integrated memory permissions into the existing roles and permissions schemas.
- Updated the interface to include memory settings and permissions.
- Enhanced the MemoryViewer component to conditionally render admin settings based on user roles.
- Added localization support for memory permissions in the translation files.
feat: move AdminSettings component to a new position in MemoryViewer for better visibility
refactor: clean up commented code in MemoryViewer component
feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration
- Added a search input to filter memories in the MemoryViewer component.
- Refactored MemoryEditDialog to accept children for better customization.
- Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories.
- Improved localization support by adding new strings for memory filtering and deletion confirmation.
refactor: optimize memory filtering in MemoryViewer using match-sorter
- Replaced manual filtering logic with match-sorter for improved search functionality.
- Enhanced performance and readability of the filteredMemories computation.
feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling
feat: implement access control for MemoryEditDialog and MemoryViewer components
refactor: remove commented out code and create runMemory method
refactor: rename role based files
feat: implement access control for memory usage in AgentClient
refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code
refactor: make `agents` dir in api package
refactor: migrate Azure utilities to TypeScript and consolidate imports
refactor: move sanitizeFilename function to a new file and update imports, add related tests
refactor: update LLM configuration types and consolidate Azure options in the API package
chore: linting
chore: import order
refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file
chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json
refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports
refactor: move createRun function to a new run.ts file and update related imports
fix: ensure safeAttachments is correctly typed as an array of TFile
chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file
refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options
feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling
fix: update types due to new TEndpointOption typing
fix: ensure safe access to group parameters in initializeOpenAIOptions function
fix: remove redundant API key validation comment in initializeOpenAIOptions function
refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation
refactor: decouple req.body fields and tool loading from initializeAgentOptions
chore: linting
refactor: adjust column widths in MemoryViewer for improved layout
refactor: simplify agent initialization by creating loadAgent function and removing unused code
feat: add memory configuration loading and validation functions
WIP: first pass, memory processing with config
feat: implement memory callback and artifact handling
feat: implement memory artifacts display and processing updates
feat: add memory configuration options and schema validation for validKeys
fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements
refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling
WIP: initial tokenLimit config and move Tokenizer to @librechat/api
refactor: update mongoMeili plugin methods to use callback for better error handling
feat: enhance memory management with token tracking and usage metrics
- Added token counting for memory entries to enforce limits and provide usage statistics.
- Updated memory retrieval and update routes to include total token usage and limit.
- Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information.
- Refactored memory processing functions to handle token limits and provide feedback on memory capacity.
feat: implement memory artifact handling in attachment handler
- Enhanced useAttachmentHandler to process memory artifacts when receiving updates.
- Introduced handleMemoryArtifact utility to manage memory updates and deletions.
- Updated query client to reflect changes in memory state based on incoming data.
refactor: restructure web search key extraction logic
- Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys.
- Updated webSearchKeys to utilize the new function for improved clarity and maintainability.
- Prevents build time errors
feat: add personalization settings and memory preferences management
- Introduced a new Personalization tab in settings to manage user memory preferences.
- Implemented API endpoints and client-side logic for updating memory preferences.
- Enhanced user interface components to reflect personalization options and memory usage.
- Updated permissions to allow users to opt out of memory features.
- Added localization support for new settings and messages related to personalization.
style: personalization switch class
feat: add PersonalizationIcon and align Side Panel UI
feat: implement memory creation functionality
- Added a new API endpoint for creating memory entries, including validation for key and value.
- Introduced MemoryCreateDialog component for user interface to facilitate memory creation.
- Integrated token limit checks to prevent exceeding user memory capacity.
- Updated MemoryViewer to include a button for opening the memory creation dialog.
- Enhanced localization support for new messages related to memory creation.
feat: enhance message processing with configurable window size
- Updated AgentClient to use a configurable message window size for processing messages.
- Introduced messageWindowSize option in memory configuration schema with a default value of 5.
- Improved logic for selecting messages to process based on the configured window size.
chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json
chore: remove OpenAPIPlugin and its associated tests
chore: remove MIGRATION_README.md as migration tasks are completed
ci: fix backend tests
chore: remove unused translation keys from localization file
chore: remove problematic test file and unused var in AgentClient
chore: remove unused import and import directly for JSDoc
* feat: add api package build stage in Dockerfile for improved modularity
* docs: reorder build steps in contributing guide for clarity
|
||
Ruben Talstra
|
4cbab86b45
|
📈 feat: Chat rating for feedback (#5878)
* feat: working started for feedback implementation. TODO: - needs some refactoring. - needs some UI animations. * feat: working rate functionality * feat: works now as well to reader the already rated responses from the server. * feat: added the option to give feedback in text (optional) * feat: added Dismiss option `x` to the `FeedbackTagOptions` * ✨ feat: Add rating and ratingContent fields to message schema * 🔧 chore: Bump version to 0.0.3 in package.json * ✨ feat: Enhance feedback localization and update UI elements * 🚀 feat: Implement feedback tagging system with thumbs up/down options * 🚀 feat: Add data-provider package to unused i18n keys detection * 🎨 style: update HoverButtons' style * 🎨 style: Update HoverButtons and Fork components for improved styling and visibility * 🔧 feat: Implement feedback system with rating and content options * 🔧 feat: Enhance feedback handling with improved rating toggle and tag options * 🔧 feat: Integrate toast notifications for feedback submission and clean up unused state * 🔧 feat: Remove unused feedback tag options from translation file * ✨ refactor: clean up Feedback component and improve HoverButtons structure * ✨ refactor: remove unused settings switches for auto scroll, hide side panel, and user message markdown * refactor: reorganize import order * ✨ refactor: enhance HoverButtons and Fork components with improved styles and animations * ✨ refactor: update feedback response phrases for improved user engagement * ✨ refactor: add CheckboxOption component and streamline fork options rendering * Refactor feedback components and logic - Consolidated feedback handling into a single Feedback component, removing FeedbackButtons and FeedbackTagOptions. - Introduced new feedback tagging system with detailed tags for both thumbs up and thumbs down ratings. - Updated feedback schema to include new tags and improved type definitions. - Enhanced user interface for feedback collection, including a dialog for additional comments. - Removed obsolete files and adjusted imports accordingly. - Updated translations for new feedback tags and placeholders. * ✨ refactor: update feedback handling by replacing rating fields with feedback in message updates * fix: add missing validateMessageReq middleware to feedback route and refactor feedback system * 🗑️ chore: Remove redundant fork option explanations from translation file * 🔧 refactor: Remove unused dependency from feedback callback * 🔧 refactor: Simplify message update response structure and improve error logging * Chore: removed unused tests. --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> |
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|
Marco Beretta
|
c79ee32006
|
🖼️ feat: Tool Call and Loading UI Refresh, Image Resize Config (#7086)
* ✨ feat: Enhance Spinner component with customizable properties and improved animation * 🔧 fix: Replace Loader with Spinner in RunCode component and update FilePreview to use Spinner for progress indication * ✨ feat: Refactor icons in CodeProgress and CancelledIcon components; enhance animation and styling in ExecuteCode and ProgressText components * ✨ feat: Refactor attachment handling in ExecuteCode component; replace individual attachment rendering with AttachmentGroup for improved structure * ✨ feat: Refactor dialog components for improved accessibility and styling; integrate Skeleton loading state in Image component * ✨ feat: Refactor ToolCall component to use ToolCallInfo for better structure; replace ToolPopover with AttachmentGroup; enhance ProgressText with error handling and improved UI elements * 🔧 fix: Remove unnecessary whitespace in ProgressText * 🔧 fix: Remove unnecessary margin from AgentFooter and AgentPanel components; clean up SidePanel imports * ✨ feat: Enhance ToolCall and ToolCallInfo components with improved styling; update translations and add warning text color to Tailwind config * 🔧 fix: Update import statement for useLocalize in ToolCallInfo component; fix: chatform transition * ✨ feat: Refactor ToolCall and ToolCallInfo components for improved structure and styling; add optimized code block for better output display * ✨ feat: Implement OpenAI image generation component; add progress tracking and localization for user feedback * 🔧 fix: Adjust base duration values for image generation; optimize timing for quality settings * chore: remove unnecessary space * ✨ feat: Enhance OpenAI image generation with editing capabilities; update localization for progress feedback * ✨ feat: Add download functionality to images; enhance DialogImage component with download button * ✨ feat: Enhance image resizing functionality; support custom percentage and pixel dimensions in resizeImageBuffer |
||
glowforge-opensource
|
e3e796293c
|
🔍 feat: Additional Tavily API Tool Parameters (#7232)
* feat: expose additional Tavily API parameters for tool The following parameters are part of Tavily API but were previously not exposed for agents to use via the tool. Now they are. The source documentation is here: https://docs.tavily.com/documentation/api-reference/endpoint/search include_raw_content - returns the full text of found web pages (default is false) include_domains - limit search to this list of domains (default is none) exclude_domains - exclude this list of domains form search (default is none) topic - enum of "general", "news", or "finance" (default is "general") time_range - enum of "day", "week", "month", or "year" (default unlimited) days - number of days to search (default is 7, but only applicable to topic == "news") include_image_descriptions - include a description of the image in the search results (default is false) It is a little odd that they have both time_range and days, but there it is. I have noticed that this change requires a little bit of care in prompting to make sure that it doesn't use "news" when you wanted "general". I've attemtped to hint that in the tool description. * correct lint error * more lint --------- Co-authored-by: Michael Natkin <michaeln@glowforge.com> |
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|
Danny Avila
|
c0ebb434a6
|
🎨 feat: OpenAI Image Tools (GPT-Image-1) (#7079)
* wip: OpenAI Image Generation Tool with customizable options * WIP: First pass OpenAI Image Generation Tool and integrate into existing tools * 🔀 fix: Comment out unused validation for image generation tool parameters * 🔀 refactor: Update primeResources function parameters for better destructuring * feat: Add image_edit resource to EToolResources and update AgentToolResources interface * feat: Enhance file retrieval with tool resource filtering for image editing * refactor: add OpenAI Image Tools for generation and editing, refactor related components, pass current request image attachments as tool resources for editing * refactor: Remove commented-out code and clean up API key retrieval in createOpenAIImageTools function * fix: show message attachments in shared links * fix: Correct parent message retrieval logic for regenerated messages in useChatFunctions * fix: Update primeResources to utilize requestFileSet for image file processing * refactor: Improve description for image generation tool and clarify usage conditions, only provide edit tool if there are images available to edit * chore: Update OpenAI Image Tools icon to use local asset * refactor: Update image generation tool description and logic to prioritize editing tool when files are uploaded * refactor: Enhance image tool descriptions to clarify usage conditions and note potential unavailability of uploaded images * refactor: Update useAttachmentHandler to accept queryClient to update query cache with newly created file * refactor: Add customizable descriptions and prompts for OpenAI image generation and editing tools * chore: Update comments to use JSDoc style for better clarity and consistency * refactor: Rename config variable to clientConfig for clarity and update signal handling in image generation * refactor: Update axios request configuration to include derived signal and baseURL for improved request handling * refactor: Update baseURL environment variable for OpenAI image generation tool configuration * refactor: Enhance axios request configuration with conditional headers and improved clientConfig setup * chore: Update comments for clarity and remove unnecessary lines in OpenAI image tools * refactor: Update description for image generation without files to clarify user instructions * refactor: Simplify target parent message logic for regeneration and resubmission cases * chore: Remove backticks from error messages in image generation and editing functions * refactor: Rename toolResources to toolResourceSet for clarity in file retrieval functions * chore: Remove redundant comments and clean up TODOs in OpenAI image tools * refactor: Rename fileStrategy to appFileStrategy for clarity and improve error handling in image processing * chore: Update react-resizable-panels to version 2.1.8 in package.json and package-lock.json * chore: Ensure required validation for logs and Code of Conduct agreement in bug report template * fix: Update ArtifactPreview to use startupConfig and currentCode from memoized props to prevent unnecessary re-renders * fix: improve robustness of `save & submit` when used from a user-message with existing attachments * fix: add null check for artifact index in CodeEditor to prevent errors, trigger re-render on artifact ID change * fix: standardize default values for artifact properties in Artifact component, avoiding prematurely setting an "empty/default" artifact * fix: reset current artifact ID before setting a new one in ArtifactButton to ensure correct state management * chore: rename `setArtifactId` variable to `setCurrentArtifactId` for consistency * chore: update type annotations in File and S3 CRUD functions for consistency * refactor: improve image handling in OpenAI tools by using image_id references and enhance tool context for image editing * fix: update image_ids schema in image_edit_oai to enforce presence and provide clear guidelines for usage * fix: enhance file fetching logic to ensure user-specific and dimension-validated results * chore: add details on image generation and editing capabilities with various models |
||
|
Danny Avila
|
d6a17784dc
|
🔗 feat: Agent Chain (Mixture-of-Agents) (#6374)
* wip: first pass, dropdown for selecting sequential agents * refactor: Improve agent selection logic and enhance performance in SequentialAgents component * wip: seq. agents working ideas * wip: sequential agents style change * refactor: move agent form options/submission outside of AgentConfig * refactor: prevent repeating code * refactor: simplify current agent display in SequentialAgents component * feat: persist form value handling in AgentSelect component for agent_ids * feat: first pass, sequential agnets agent update * feat: enhance message display with agent updates and empty text handling * chore: update Icon component to use EModelEndpoint for agent endpoints * feat: update content type checks in BaseClient to use constants for better readability * feat: adjust max context tokens calculation to use 90% of the model's max tokens * feat: first pass, agent run message pruning * chore: increase max listeners for abort controller to prevent memory leaks * feat: enhance runAgent function to include current index count map for improved token tracking * chore: update @librechat/agents dependency to version 2.2.5 * feat: update icons and style of SequentialAgents component for improved UI consistency * feat: add AdvancedButton and AdvancedPanel components for enhanced agent settings navigation, update styling for agent form * chore: adjust minimum height of AdvancedPanel component for better layout consistency * chore: update @librechat/agents dependency to version 2.2.6 * feat: enhance message formatting by incorporating tool set into agent message processing, in order to allow better mix/matching of agents (as tool calls for tools not found in set will be stringified) * refactor: reorder components in AgentConfig for improved readability and maintainability * refactor: enhance layout of AgentUpdate component for improved visual structure * feat: add DeepSeek provider to Bedrock settings and schemas * feat: enhance link styling in mobile.css for better visibility and accessibility * fix: update banner model import in update banner script; export Banner model * refactor: `duplicateAgentHandler` to include tool_resources only for OCR context files * feat: add 'qwen-vl' to visionModels for enhanced model support * fix: change image format from JPEG to PNG in DALLE3 response * feat: reorganize Advanced components and add localizations * refactor: simplify JSX structure in AgentChain component to defer container styling to parent * feat: add FormInput component for reusable input handling * feat: make agent recursion limit configurable from builder * feat: add support for agent capabilities chain in AdvancedPanel and update data-provider version * feat: add maxRecursionLimit configuration for agents and update related documentation * fix: update CONFIG_VERSION to 1.2.3 in data provider configuration * feat: replace recursion limit input with MaxAgentSteps component and enhance input handling * feat: enhance AgentChain component with hover card for additional information and update related labels * fix: pass request and response objects to `createActionTool` when using assistant actions to prevent auth error * feat: update AgentChain component layout to include agent count display * feat: increase default max listeners and implement capability check function for agent chain * fix: update link styles in mobile.css for better visibility in dark mode * chore: temp. remove agents package while bumping shared packages * chore: update @langchain/google-genai package to version 0.1.11 * chore: update @langchain/google-vertexai package to version 0.2.2 * chore: add @librechat/agents package at version 2.2.8 * feat: add deepseek.r1 model with token rate and context values for bedrock |
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|
Danny Avila
|
2e63e32382
|
🐼 feat: Add Flux Image Generation Tool (#6147)
* 🔧 fix: Log warning for aborted operations in AgentClient
* ci: Remove unused saveMessageToDatabase mock in FakeClient initialization
* ci: test actual implementation of saveMessageToDatabase
* refactor: Change log level from warning to error for aborted operations in AgentClient
* refactor: Add className prop to Image component for customizable styling, use theme selectors
* feat: FLUX Image Generation tool
|
||
|
Danny Avila
|
7f6b32ff04
|
🖼️ refactor: Enhance Env Extraction & Agent Image Handling (#6131)
* refactor: use new image output format for agents using DALL-E tools * refactor: Enhance image fetching with proxy support and adjust logging placement in DALL-E 3 integration * refactor: Enhance StableDiffusionAPI to support agent-specific return values and display message for generated images * refactor: Add unit test execution for librechat-mcp in backend review workflow * refactor: Update environment variable extraction logic, export from serpate module to avoid circular refs, and remove deprecated tests * refactor: Add unit tests for environment variable extraction and enhance StdioOptionsSchema to process env variables |
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|
Danny Avila
|
352565c9a6
|
🎥 feat: YouTube Tool (#5582)
* adding youtube tool * refactor: use short `url` param instead of `videoUrl` * refactor: move API key retrieval to a separate credentials module * refactor: remove unnecessary `isEdited` message property * refactor: remove unnecessary `isEdited` message property pt. 2 * refactor: YouTube Tool with new `tool()` generator, handle tools already created by new `tool` generator * fix: only reset request data for multi-convo messages * refactor: enhance YouTube tool by adding transcript parsing and returning structured JSON responses * refactor: update transcript parsing to handle raw response and clean up text output * feat: support toolkits and refactor YouTube tool as a toolkit for better LLM usage * refactor: remove unused OpenAPI specs and streamline tools transformation in loadAsyncEndpoints * refactor: implement manifestToolMap for better tool management and streamline authentication handling * feat: support toolkits for assistants * refactor: rename loadedTools to toolDefinitions for clarity in PluginController and assistant controllers * feat: complete support of toolkits for assistants --------- Co-authored-by: Danilo Pejakovic <danilo.pejakovic@leoninestudios.com> |
||
|
Danny Avila
|
0855677a36
|
🌤️ feat: Add OpenWeather Tool for Weather Data Retrieval (#5246)
* ✨ feat: Add OpenWeather Tool for Weather Data Retrieval 🌤️ * chore: linting * chore: move test files * fix: tool icon, allow user-provided keys, conform to app key assignment pattern * chore: linting not included in #5212 --------- Co-authored-by: Jonathan Addington <jonathan.addington@jmaddington.com> |
||
|
Danny Avila
|
1a815f5e19
|
🎉 feat: Code Interpreter API and Agents Release (#4860)
* feat: Code Interpreter API & File Search Agent Uploads chore: add back code files wip: first pass, abstract key dialog refactor: influence checkbox on key changes refactor: update localization keys for 'execute code' to 'run code' wip: run code button refactor: add throwError parameter to loadAuthValues and getUserPluginAuthValue functions feat: first pass, API tool calling fix: handle missing toolId in callTool function and return 404 for non-existent tools feat: show code outputs fix: improve error handling in callTool function and log errors fix: handle potential null value for filepath in attachment destructuring fix: normalize language before rendering and prevent null return fix: add loading indicator in RunCode component while executing code feat: add support for conditional code execution in Markdown components feat: attachments refactor: remove bash fix: pass abort signal to graph/run refactor: debounce and rate limit tool call refactor: increase debounce delay for execute function feat: set code output attachments feat: image attachments refactor: apply message context refactor: pass `partIndex` feat: toolCall schema/model/methods feat: block indexing feat: get tool calls chore: imports chore: typing chore: condense type imports feat: get tool calls fix: block indexing chore: typing refactor: update tool calls mapping to support multiple results fix: add unique key to nav link for rendering wip: first pass, tool call results refactor: update query cache from successful tool call mutation style: improve result switcher styling chore: note on using \`.toObject()\` feat: add agent_id field to conversation schema chore: typing refactor: rename agentMap to agentsMap for consistency feat: Agent Name as chat input placeholder chore: bump agents 📦 chore: update @langchain dependencies to latest versions to match agents package 📦 chore: update @librechat/agents dependency to version 1.8.0 fix: Aborting agent stream removes sender; fix(bedrock): completion removes preset name label refactor: remove direct file parameter to use req.file, add `processAgentFileUpload` for image uploads feat: upload menu feat: prime message_file resources feat: implement conversation access validation in chat route refactor: remove file parameter from processFileUpload and use req.file instead feat: add savedMessageIds set to track saved message IDs in BaseClient, to prevent unnecessary double-write to db feat: prevent duplicate message saves by checking savedMessageIds in AgentController refactor: skip legacy RAG API handling for agents feat: add files field to convoSchema refactor: update request type annotations from Express.Request to ServerRequest in file processing functions feat: track conversation files fix: resendFiles, addPreviousAttachments handling feat: add ID validation for session_id and file_id in download route feat: entity_id for code file uploads/downloads fix: code file edge cases feat: delete related tool calls feat: add stream rate handling for LLM configuration feat: enhance system content with attached file information fix: improve error logging in resource priming function * WIP: PoC, sequential agents WIP: PoC Sequential Agents, first pass content data + bump agents package fix: package-lock WIP: PoC, o1 support, refactor bufferString feat: convertJsonSchemaToZod fix: form issues and schema defining erroneous model fix: max length issue on agent form instructions, limit conversation messages to sequential agents feat: add abort signal support to createRun function and AgentClient feat: PoC, hide prior sequential agent steps fix: update parameter naming from config to metadata in event handlers for clarity, add model to usage data refactor: use only last contentData, track model for usage data chore: bump agents package fix: content parts issue refactor: filter contentParts to include tool calls and relevant indices feat: show function calls refactor: filter context messages to exclude tool calls when no tools are available to the agent fix: ensure tool call content is not undefined in formatMessages feat: add agent_id field to conversationPreset schema feat: hide sequential agents feat: increase upload toast duration to 10 seconds * refactor: tool context handling & update Code API Key Dialog feat: toolContextMap chore: skipSpecs -> useSpecs ci: fix handleTools tests feat: API Key Dialog * feat: Agent Permissions Admin Controls feat: replace label with button for prompt permission toggle feat: update agent permissions feat: enable experimental agents and streamline capability configuration feat: implement access control for agents and enhance endpoint menu items feat: add welcome message for agent selection in localization feat: add agents permission to access control and update version to 0.7.57 * fix: update types in useAssistantListMap and useMentions hooks for better null handling * feat: mention agents * fix: agent tool resource race conditions when deleting agent tool resource files * feat: add error handling for code execution with user feedback * refactor: rename AdminControls to AdminSettings for clarity * style: add gap to button in AdminSettings for improved layout * refactor: separate agent query hooks and check access to enable fetching * fix: remove unused provider from agent initialization options, creates issue with custom endpoints * refactor: remove redundant/deprecated modelOptions from AgentClient processes * chore: update @librechat/agents to version 1.8.5 in package.json and package-lock.json * fix: minor styling issues + agent panel uniformity * fix: agent edge cases when set endpoint is no longer defined * refactor: remove unused cleanup function call from AppService * fix: update link in ApiKeyDialog to point to pricing page * fix: improve type handling and layout calculations in SidePanel component * fix: add missing localization string for agent selection in SidePanel * chore: form styling and localizations for upload filesearch/code interpreter * fix: model selection placeholder logic in AgentConfig component * style: agent capabilities * fix: add localization for provider selection and improve dropdown styling in ModelPanel * refactor: use gpt-4o-mini > gpt-3.5-turbo * fix: agents configuration for loadDefaultInterface and update related tests * feat: DALLE Agents support |
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|
Danny Avila
|
95201908e9
|
📦 fix: npm warnings; chore: bump deprecated packages (#4707)
* chore: bump langchain deps to address vulnerability warnings * chore: bump community package and install textsplitters package * fix: update expected result in tokenSplit tests for accuracy * chore: remove CodeSherpa tools * chore: remove E2B tools and loadToolSuite * chore: remove CodeBrew tool and update related references * chore: remove HumanTool and ChatTool, update tool references * chore: remove Zapier tool from manifest.json and update SerpAPI * chore: remove basic tools * chore: update import path for RecursiveCharacterTextSplitter * chore: update import path for DynamicStructuredTool * chore: remove extractionChain.js and update tool filtering logic * chore: npm audit fix * chore: bump google packages * chore: update DALL-E tool to DALL-E-3 and adjust authentication logic * ci: update message classes * chore: elliptic npm audit fix * chore: update CallbackManager import and remove deprecated tool handling logic * chore: imports order * chore: remove unused code --------- Co-authored-by: Max Sanna <max@maxsanna.com> |
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|
Danny Avila
|
ad74350036
|
🚧 chore: merge latest dev build (#4288)
* fix: agent initialization, add `collectedUsage` handling * style: improve side panel styling * refactor(loadAgent): Optimize order agent project ID retrieval * feat: code execution * fix: typing issues * feat: ExecuteCode content part * refactor: use local state for default collapsed state of analysis content parts * fix: code parsing in ExecuteCode component * chore: bump agents package, export loadAuthValues * refactor: Update handleTools.js to use EnvVar for code execution tool authentication * WIP * feat: download code outputs * fix(useEventHandlers): type issues * feat: backend handling for code outputs * Refactor: Remove console.log statement in Part.tsx * refactor: add attachments to TMessage/messageSchema * WIP: prelim handling for code outputs * feat: attachments rendering * refactor: improve attachments rendering * fix: attachments, nullish edge case, handle attachments from event stream, bump agents package * fix filename download * fix: tool assignment for 'run code' on agent creation * fix: image handling by adding attachments * refactor: prevent agent creation without provider/model * refactor: remove unnecessary space in agent creation success message * refactor: select first model if selecting provider from empty on form * fix: Agent avatar bug * fix: `defaultAgentFormValues` causing boolean typing issue and typeerror * fix: capabilities counting as tools, causing duplication of them * fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation) * chore: bump @librechat/agents dependency to version 1.6.9 * feat: bedrock agents * feat: new Agents icon * feat: agent titling * feat: agent landing * refactor: allow sharing agent globally only if user is admin or author * feat: initial AgentPanelSkeleton * feat: AgentPanelSkeleton * feat: collaborative agents * chore: add potential authorName as part of schema * chore: Remove unnecessary console.log statement * WIP: agent model parameters * chore: ToolsDialog typing and tool related localization chnages * refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper * chore: add back tools * feat: Agent knowledge files upload * refactor: better verbiage for disabled knowledge * chore: debug logs for file deletions * chore: debug logs for file deletions * feat: upload/delete agent knowledge/file-search files * feat: file search UI for agents * feat: first pass, file search tool * chore: update default agent capabilities and info |
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Sebastian Diez
|
07e5531b5b
|
⚙️ fix: Ensure Azure AI Search TOP is a number (#3891)
allows configuration through AZURE_AI_SEARCH_SEARCH_OPTION_TOP enviroment variable |
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|
Danny Avila
|
a0291ed155
|
🚧 chore: merge latest dev build to main repo (#3844)
* agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> |
||
Dongwoo Jeong
|
6879de0bf1
|
🔧 fix: API Key Handling for GoogleSearch and TavilySearch Tools (#3541)
* fix: get user-provided API key using environment variable names as keys * feat: Add error handling for missing API key and search engine ID * feat: Add GoogleSearch and TavilySearchResults specs for environment variables handling --------- Co-authored-by: Dongwoo Jeong <dongwoo.jeong@lge.com> |
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|
Danny Avila
|
b8a6efa649
|
👷♂️ chore: pass Tavily Response error and revert test commit on userSchema.js (#3496)
* chore: revert test commit * chore: make sure tavily error gets passed |
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|
Danny Avila
|
f00a8f87f7
|
🔧 fix(StableDiffusion): Temporarily Remove sampler_index (#2815)
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|
Danny Avila
|
9d854dac07
|
🤖 feat: Gemini 1.5 Support (+Vertex AI) (#2383)
* WIP: gemini-1.5 support * feat: extended vertex ai support * fix: handle possibly undefined modelName * fix: gpt-4-turbo-preview invalid vision model * feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type * feat: better truncation for errors including base64 strings * fix: gemini inlineData formatting * feat: RAG augmented prompt for gemini-1.5 * feat: gemini-1.5 rates and token window * chore: adjust tokens, update docs, update vision Models * chore: add back `ChatGoogleVertexAI` for chat models via vertex ai * refactor: ask/edit controllers to not use `unfinished` field for google endpoint * chore: remove comment * chore(ci): fix AppService test * chore: remove comment * refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable * chore: bump data-provider to 0.5.4 * chore: update docs * fix: condition for gemini-1.5 using generative ai lib * chore: update docs * ci: add additional AppService test for `imageOutputType` * refactor: optimize new config value `imageOutputType` * chore: bump CONFIG_VERSION * fix(assistants): avatar upload |
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bsu3338
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038063d4d1
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🐞Fix: Stable Diffusion User Directory (#2270) | ||
Danny Avila
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bb8a40dd98
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🎨 fix: Optimize StableDiffusion API Tool and Fix for Assistants Usage (#2253)
* chore: update docs * fix(StableDiffusion): optimize API responses and file handling, return expected metadata for Assistants endpoint |