- Moved the retrieval of the latest node data to a more appropriate location in NodeConfiguration, ensuring the most up-to-date configuration is used.
- Updated the ConcurrencyLimiter to correctly handle the queue resolution by passing `undefined` to the next function, improving clarity and functionality.
- Enhanced the DatabaseConnectionManager to securely merge connection updates while excluding sensitive fields, ensuring better security practices.
- Made executionId optional in ExecutionEngine methods, providing more flexibility in execution handling.
- Improved JSON parsing validation to allow extra fields, enhancing the robustness of the parsing process.
- Updated circular dependency detection in WorkflowValidationEngine to utilize a Set for improved performance and clarity.
- Introduced a new test suite for the ExecutionEngine to validate node types before workflow execution, ensuring only supported types are processed.
- Implemented tests for various scenarios, including invalid node types, missing type specifications, and detailed error messages for unsupported types.
- Enhanced error handling in the ExecutionEngine to provide user-friendly messages for missing or corrupted processors, improving overall robustness.
- Ensured comprehensive coverage of error message quality, providing actionable feedback for users during workflow execution.
- Added validation for node types to ensure only predefined types can be added to workflows, enhancing data integrity.
- Implemented position collision detection to automatically adjust node positions when overlaps occur, improving user experience.
- Introduced logging for invalid node type attempts and position adjustments, providing better feedback during workflow creation.
- Enhanced tests to cover new validation and collision detection features, ensuring robust functionality.
- Added helper functions to retrieve node icons and colors based on node types, improving visual representation in the workflow list.
- Implemented a summary section displaying node type counts and breakdowns, enhancing user understanding of workflow composition.
- Refactored existing node type indicators to utilize the new helper functions for consistency and maintainability.
- Removed outdated code related to previous node type handling, streamlining the component's logic.
- Added importWorkflow method to the workflow store for handling imported workflows, including ID conflict resolution and storage updates.
- Enhanced WorkflowToolbar component to support file imports, providing user feedback through toast notifications for success and error scenarios.
- Improved error handling during the import process, ensuring informative messages are displayed for various failure cases.
- Introduced a new LRU cache implementation with time-to-live (TTL) support, enhancing performance for cached results.
- Added detailed cache statistics and performance tracking, including hit/miss counts and eviction metrics.
- Implemented methods for cache entry management, including eviction of least recently used entries and retrieval of top accessed entries.
- Enhanced the clearExpired and getStats methods for better cache management and reporting.
- Added comprehensive logging for cache operations to improve observability and debugging.
- Integrated toast notifications for file upload success, error handling, and file removal, improving user feedback during PDF processing.
- Updated the handling of node outputs to utilize the workflow store for better state management and data flow.
- Enhanced error handling to provide more informative messages during PDF processing failures, ensuring a smoother user experience.
- Integrated toast notifications for adding, updating, deleting, and testing database connections to enhance user feedback.
- Implemented loading indicators and success/error messages for each action, improving the overall user experience.
- Updated confirmation dialogs to include connection names for better clarity during deletion prompts.
- Updated discordProcessor and gmailProcessor to utilize a standardized execution context and plan, enhancing maintainability and observability.
- Improved error handling by throwing detailed errors with context for better debugging.
- Enhanced configuration validation to ensure proper structure and provide clear error messages.
- Standardized response format to include execution metadata, improving traceability and user feedback.
- Introduced a new robust JSON parser to handle common issues with LLM-generated JSON, including malformed structures, trailing commas, and code block wrappers.
- Updated the naturalLanguageToWorkflowService to utilize the new parsing methods, enhancing error handling and validation for intent classification, entity extraction, and workflow generation.
- Added comprehensive documentation outlining the parsing strategies and integration points, improving maintainability and developer understanding.
- Created a new markdown file detailing the robust JSON parsing solution, including architecture, examples, and future enhancements.
- Updated validation methods in DatabaseCommand and its subclasses (DeleteCommand, InsertCommand, QueryCommand, UpdateCommand) to enforce stricter checks on configuration objects.
- Introduced runtime type guard utilities for better validation of expected configuration structures.
- Added console warnings for missing required fields in commands, improving user feedback during validation failures.
- Ensured that all commands validate necessary properties before execution, enhancing robustness and preventing misconfigurations.
- Introduced a proxy base URL configuration for production environments, allowing secure API calls through a proxy.
- Enhanced the scrape and batch scrape functions to utilize the proxy, with robust error handling and user-friendly messages.
- Implemented validation for API key configuration, ensuring clear guidance for users in both development and production settings.
- Improved error responses to provide actionable feedback, enhancing the overall user experience when interacting with the Firecrawl API.
- Enhanced the ID migration process to utilize a stable mapping based on original node IDs, ensuring uniqueness and preventing collisions.
- Introduced functions to identify deterministic IDs and find orphan edges, improving the robustness of the migration.
- Added validation for duplicate node IDs and orphan edges, with warnings logged for any inconsistencies detected during migration.
- Updated the migration function to filter out orphan edges after migration, ensuring cleaner workflow structures.
- Introduced state management for optimization preview, allowing users to preview optimized prompts before applying changes.
- Added functionality to save original prompts and maintain a history of prompt changes for undo operations.
- Enhanced the UI to include buttons for applying optimized prompts and undoing the last change, improving user experience and flexibility in prompt management.
- Implemented cancelation of optimization previews, ensuring users can easily revert to the original state if needed.
- Enhanced WorkflowList component to include a "Clear All" button for deleting all workflows, with a confirmation prompt to prevent accidental deletions.
- Updated WorkflowToolbar component to implement a dialog for confirming the reset of all nodes in the current workflow, ensuring user awareness of irreversible actions.
- Improved user interface with visual feedback for critical actions, enhancing overall usability and safety in workflow management.
- Introduced SecureCredentialManager for encrypted storage of sensitive database credentials, including passwords and connection strings.
- Updated DatabaseConnectionManager to utilize secure credential storage, ensuring plaintext credentials are never saved.
- Added methods for securely storing, retrieving, updating, and deleting credentials, enhancing security and compliance.
- Implemented credential migration for existing connections to transition from plaintext to secure storage.
- Enhanced connection management with features for masked credentials and secure access, improving overall security posture.
- Introduced apiErrorHandler module for structured error management in API calls, including timeout handling, retries, and response validation.
- Implemented safeAPICall function to wrap API calls with error handling and retry logic.
- Enhanced existing services (openaiService, embeddingProcessor, llmProcessor) to utilize the new error handling utilities, improving robustness and user feedback.
- Added validation functions for OpenAI-like responses and embedding responses to ensure data integrity.
- Improved error logging and user-friendly messages for better debugging and user experience.
- Introduced ConcurrencyLimiter class to manage concurrent operations and prevent resource exhaustion.
- Implemented run, runAll, and runAllOrThrow methods for executing functions with concurrency control.
- Enhanced ExecutionEngine to utilize concurrency limiting when executing parallel groups and nodes, improving resource management and execution efficiency.
- Integrated mapWithConcurrency and mapWithConcurrencySettled functions for mapping operations with concurrency control.
- Introduced TestInputConfigurator component for configuring test inputs in workflows.
- Enhanced ExecutionPanel to include a button for opening the test input configuration modal.
- Integrated test input management logic using the new TestInputManager service to handle input mappings and validation.
- Updated workflow execution logic to apply test inputs based on user configuration, improving flexibility and usability in testing scenarios.
- Introduced WorkflowValidationPanel component to display validation results and issues in the WorkflowEditor.
- Integrated comprehensive workflow validation logic using the new WorkflowValidationEngine, which checks for errors, warnings, and overall workflow structure before execution.
- Enhanced WorkflowEditor to include a validation status badge that toggles the visibility of the validation panel.
- Updated ExecutionEngine to utilize the new validation engine, ensuring workflows are validated prior to execution, with detailed error messages for user feedback.
- Added visual indicators for validation status, improving user experience and workflow management.
- Introduced ExecutionLogger component to display real-time execution logs, including workflow and node events.
- Added NodeExecutionIndicator component to visualize the status and progress of individual nodes during execution.
- Enhanced WorkflowEditor to integrate execution logging, allowing users to toggle the logger and view execution metrics.
- Implemented execution event bus to manage and emit events related to workflow execution, including start, progress, completion, and errors.
- Updated ExecutionEngine to emit relevant events during execution phases for improved tracking and user feedback.
- Added a detailed data flow architecture diagram using Mermaid syntax to illustrate the workflow execution process.
- Expanded the introduction to emphasize the capabilities of the AI workflow builder.
- Improved overall content structure for better clarity and user understanding.
- Introduced a comprehensive architecture diagram detailing the high-level system architecture, component architecture, and data flow for the workflow builder.
- Included visual representations using Mermaid syntax to illustrate frontend layers, state management, core services, AI/ML services, external integrations, and data processing.
- Documented the technology stack, key features, and architecture principles to provide clarity on system design and functionality.
- Introduced a new test script to verify Slack integration with AI Copilot, including intent classification and entity extraction for reminders.
- Enhanced the natural language processing service to support new entity types for database operations, notifications, and email automation.
- Updated workflow generation logic to include Slack and database operations, ensuring proper handling of notifications and messages.
- Expanded entity extraction to cover additional notification types and channels for improved integration capabilities.
- Updated the introduction to highlight the AI workflow builder's capabilities.
- Enhanced feature sections with icons and clearer descriptions for better readability.
- Added new sections for workflow management, execution, testing, and advanced features with corresponding icons.
- Improved quick start instructions and added visual elements for clarity.
- Included example workflows with icons to illustrate use cases.
- Updated troubleshooting and support sections for better user guidance.
- Introduced Gmail integration in ConfigurationWizard with a new wizard step for Gmail operations.
- Updated NodeLibrary to include Gmail as a node type with associated color coding.
- Enhanced BaseNode to represent Gmail with an appropriate icon.
- Configured nodeTypeConfigs for Gmail with detailed descriptions and common use cases.
- Added Gmail-specific fields in fieldConfigs for operation configuration.
- Implemented GmailService and gmailProcessor for handling various Gmail operations, including sending, reading, and managing emails.
- Created GmailNode component for visualizing Gmail operation details, including status and configuration.
- Developed GmailWizard component for configuring Gmail operations with dynamic form fields based on selected operation type.
- Updated ProcessorRegistry to recognize Gmail-related patterns for improved operation handling.
- Introduced a new 'discord' entry in the ConfigurationWizard for Discord integration setup.
- Updated NodeLibrary to include Discord as a node type with associated color coding.
- Enhanced BaseNode with Discord icon representation.
- Configured nodeTypeConfigs for Discord with detailed descriptions and common use cases.
- Added connection suggestions for Discord nodes to facilitate integration patterns.
- Implemented DiscordService and discordProcessor for handling various Discord operations, including sending messages, managing channels, and user interactions.
- Created DiscordWizard component for configuring Discord operations with dynamic form fields based on selected operation type.
- Added DiscordNode component for visualizing Discord operation details, including status and configuration.
- Added nodeType prop to FieldWithHelp for dynamic field configuration based on node type.
- Updated getFieldConfig function to retrieve node-specific field configurations.
- Integrated nodeType in NodeConfiguration to pass relevant type to input fields, improving flexibility for different operations.
- Introduced configuration fields for Slack integration, including bot token, operation type, channel, message text, and user ID.
- Enhanced user experience by providing tailored input options for various Slack operations.
- Utilized useMemo in WorkflowEditor to optimize node retrieval based on currentWorkflow.
- Removed unused cycle detection logic from connectionSuggestions to streamline the codebase.
- Removed unused connection handling functions from WorkflowEditor to streamline the component.
- Updated connectionSuggestions to improve cycle detection with a new hasCycleWithEdges function.
- Exported SlackNode from the nodes index for enhanced integration with Slack operations.
- Updated WorkflowEditor to include SlackNode in node types for enhanced workflow visualization.
- Modified executionEngine to support Slack operations by importing the slackProcessor.
- Enhanced ProcessorRegistry to recognize Slack-related patterns for improved operation handling.
- Introduced SlackWizard component to facilitate the configuration of various Slack operations, including sending messages, managing channels, and setting reminders.
- Implemented dynamic form fields based on selected operation type, enhancing user experience with tailored input options.
- Added state management for operation selection and configuration updates, ensuring real-time feedback and validation.
- Introduced SlackNode component to display Slack operation details, including status, configuration, and relevant metadata.
- Implemented dynamic rendering of operation icons and labels based on the selected Slack operation type.
- Enhanced user experience with status indicators and error displays for better feedback on operation outcomes.
- Implemented slackProcessor to validate Slack configuration and execute operations using SlackService.
- Added error handling for configuration validation and operation execution to ensure robust integration.
- Standardized response format for successful operations, including relevant metadata.
- Implemented SlackService to manage Slack API interactions, including sending messages, managing channels, user operations, file uploads, reactions, and reminders.
- Added error handling and configuration validation for each operation to ensure robust integration with Slack.
- Introduced a makeRequest method for streamlined API calls to the Slack endpoint.
- Introduced a new 'slack' entry in the ConfigurationWizard for Slack integration setup.
- Updated NodeLibrary to include Slack as a node type with associated color coding.
- Enhanced BaseNode with Slack icon representation.
- Configured nodeTypeConfigs for Slack with detailed descriptions and common use cases.
- Added connection suggestions for Slack nodes to facilitate integration patterns.
- Introduced a new 'slack' entry in NodeType to support Slack operations.
- Added SlackOperation type and SlackConfig interface to define various Slack operations and their configurations, enhancing integration capabilities.
- Added a new 'step' property to the FieldConfig interface for better configuration of numeric fields.
- Reformatted the options array in the operation configuration for improved readability and maintainability.
- Introduced a new FieldConfig interface for better type safety and clarity in field definitions.
- Consolidated database operation configurations under a single "database" entry, streamlining the configuration process.
- Updated field labels and placeholders to improve user guidance and consistency across database operations.
- Updated the operationIcons definition in UnifiedDatabaseNode to enhance code clarity by formatting the type declaration across multiple lines.
- Simplified the ProcessorRegistry by consolidating database operation types into a single "database" entry, streamlining the configuration for database-related tasks.
- Consolidated individual database operation types (query, insert, update, delete) into a single "database" entry for improved clarity and maintainability.
- Updated connection suggestions and common patterns to reflect the new unified structure, enhancing the overall configuration of database nodes.
- Unified individual database operation types (query, insert, update, delete) into a single "database" entry for improved clarity and maintainability.
- Updated associated color mappings to reflect this consolidation, enhancing the overall structure of the NodeLibrary component.
Nikhil-Doye