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Steven EnamakelandGitHub
c1a3ae1cfe
* Refactor core server helpers and enhance REPL dotenv loading - Removed unused functions for extracting namespaces and filtering documents by namespace from `helpers.rs`, streamlining the codebase. - Introduced dotenv loading functionality in `repl.rs`, allowing for environment variable management from a specified `.env` file. - Added utility functions for parsing dotenv values and resolving the dotenv file path, improving configuration handling in the REPL. - Enhanced logging for dotenv loading to provide better visibility into the process and any issues encountered. * Add AI RPC module and enhance core server dispatch functionality - Introduced a new `rpc` module within the `ai` namespace to handle various AI-related commands, including memory file operations and session management. - Updated the core server's dispatch logic to integrate the new AI RPC functionality, improving modularity and maintainability. - Removed outdated memory dispatch implementation and streamlined the overall dispatch structure for better performance and clarity. - Enhanced error handling and logging throughout the new functionalities to improve maintainability and user feedback. * Refactor project structure and enhance RPC functionality - Introduced a new `rpc` module to streamline JSON-RPC handling across various domains, improving code organization and maintainability. - Updated the core server and API modules to utilize the new `rpc` structure, enhancing modularity and reducing code duplication. - Added new models for authentication and socket management, improving the overall functionality of the API. - Removed outdated references to the previous `openhuman` RPC structure, ensuring a cleaner and more efficient codebase. * Update architecture documentation and refactor AI prompt paths - Updated references in architecture documentation to reflect the new directory structure for AI prompts, changing paths from `src/ai/prompts` to `src/openhuman/agent/prompts`. - Enhanced clarity in command documentation by aligning AI-related commands with the updated prompt paths. - Removed obsolete AI module and streamlined memory management references to improve code organization and maintainability. - Introduced new markdown files for agent prompts, establishing a foundation for OpenHuman's AI capabilities. * Update AI prompt paths and configuration references - Changed all references from `src/ai/prompts` to `src/openhuman/agent/prompts` in documentation and code files to reflect the new directory structure. - Updated Tauri configuration to include the new resource paths for AI prompts, ensuring proper access and functionality. - Enhanced the AI configuration commands to align with the updated paths, improving clarity and maintainability across the project. * Enhance core structure and introduce new RPC functionality - Added a new `core` module to centralize shared schemas and contracts for controllers, improving code organization and maintainability. - Introduced `jsonrpc` and `cli` modules within the `core` structure to handle JSON-RPC requests and command-line interactions, enhancing modularity. - Defined a `ControllerSchema` for transport-agnostic function contracts, allowing for consistent handling across RPC and CLI layers. - Established a new `all` module to manage registered controllers and their schemas, streamlining the invocation process. - Updated documentation in `CLAUDE.md` to reflect new controller schema contracts and module organization, improving clarity for developers. * Refactor core server structure and enhance RPC functionality - Removed the `core_server` module and integrated its functionalities into the `core` module, improving code organization and maintainability. - Introduced a new `dispatch` module to handle RPC requests, streamlining the invocation process for various commands. - Updated the CLI to utilize the new core structure, enhancing command handling and modularity. - Added comprehensive logging for RPC interactions, improving visibility and debugging capabilities. - Enhanced error handling across the core server, ensuring consistent feedback for users and developers. * Refactor CLI command handling and enhance JSON-RPC integration - Consolidated CLI command structure by removing the `CoreCli` and directly implementing command functions for `run`, `call`, and `namespace`. - Improved argument parsing for server commands, including port specification and help options, enhancing user experience. - Streamlined the invocation of JSON-RPC methods, ensuring consistent error handling and response formatting across commands. - Introduced a new `run_namespace_command` function to manage namespace-specific operations, improving modularity and clarity in command execution. * Refactor SkillsPanel and TauriCommandsPanel for improved integration handling - Removed unused integration-related functions and state management from SkillsPanel, simplifying the component's logic. - Updated TauriCommandsPanel to eliminate integration name input and associated commands, streamlining the user interface. - Introduced a new local AI memory management module to handle session and memory operations, enhancing overall functionality. - Refactored core RPC client to integrate local AI method dispatching, improving command handling consistency across the application. - Cleaned up tauriCommands utility functions to align with the new command structure, enhancing maintainability. * Refactor TauriCommandsPanel to streamline command handling - Removed the `openhumanModelsRefresh` function and replaced its usage with `openhumanDoctorReport`, simplifying the command logic. - Eliminated unused model refresh buttons from the UI, enhancing the user interface and reducing clutter. - Updated related utility functions in `tauriCommands.ts` to reflect the removal of model refresh functionality, improving maintainability. * Refactor JSON-RPC server integration and remove legacy server module - Updated the CLI to invoke the JSON-RPC server directly, enhancing command execution flow. - Introduced a new HTTP router in the `jsonrpc` module, consolidating route handling for health checks and RPC requests. - Removed the deprecated `server` module, streamlining the codebase and improving maintainability. - Adjusted tests to reflect the new routing structure, ensuring continued functionality and integration. * Remove submodule and update CLAUDE.md documentation - Deleted the `.gitmodules` file and removed the `skills` submodule, simplifying the project structure. - Updated the description in `CLAUDE.md` to reflect a broader focus on community assistance rather than just crypto, enhancing clarity. - Added sections on coding philosophy and controller migration checklist to improve developer guidance and maintainability. * Refactor controller registration and enhance schema management - Introduced a centralized registry for registered controllers, improving the organization and validation of controller schemas. - Updated the `all_registered_controllers` and `all_controller_schemas` functions across various modules to streamline controller management. - Added comprehensive validation for controller registration to ensure consistency and prevent duplicate entries. - Enhanced the CLI and JSON-RPC integration to utilize the new registry structure, improving command handling and modularity. - Updated documentation in `CLAUDE.md` to reflect changes in the skills registry and controller management processes, enhancing clarity for contributors. * Enhance autocomplete, config, and credentials modules with new schemas and controller registrations - Added support for autocomplete, config, and credentials functionalities by introducing new schemas and registered controllers. - Updated the `build_registered_controllers` and `build_declared_controller_schemas` functions to include new entries for autocomplete, config, and credentials. - Implemented new JSON-RPC tests for autocomplete and config methods, ensuring proper validation and error handling. - Refactored CLI tests to include checks for new commands related to autocomplete and configuration management, improving test coverage and reliability. - Introduced new modules for schemas in autocomplete, config, and credentials, enhancing code organization and maintainability. * Add local AI and migration modules with schemas and controller registrations - Introduced local AI and migration functionalities by adding new schemas and registered controllers. - Updated the `build_registered_controllers` and `build_declared_controller_schemas` functions to include entries for local AI and migration. - Implemented JSON-RPC tests for local AI and migration methods, ensuring proper validation and error handling. - Enhanced CLI tests to verify new commands related to local AI and migration, improving test coverage and reliability. - Organized code by creating dedicated modules for schemas in local AI and migration, enhancing maintainability. * Refactor controller schemas for config and auth modules - Updated controller schemas for config and auth functionalities, aligning namespaces and function names for consistency. - Changed function names in the JSON-RPC tests to reflect the new schema structure, ensuring proper invocation. - Enhanced CLI tests to verify updated commands related to config and auth, improving test coverage and reliability. - Organized code by consolidating related functionalities under appropriate namespaces, enhancing maintainability. * Add agent and screen intelligence modules with schemas and controller registrations - Introduced agent and screen intelligence functionalities by adding new schemas and registered controllers. - Updated the `build_registered_controllers` and `build_declared_controller_schemas` functions to include entries for agent and screen intelligence. - Created dedicated modules for schemas in agent, screen intelligence, skills, tools, tray, and workspace, enhancing code organization and maintainability. - Implemented initial controller schemas for agent and screen intelligence, providing a foundation for future functionality. - Enhanced the overall structure of the core module to accommodate new integrations, improving modularity and clarity. * Enhance autocomplete and namespace descriptions in core modules - Added a new function `namespace_description` to provide descriptions for various namespaces, improving user guidance in CLI commands. - Updated the CLI help output to include namespace descriptions, enhancing clarity for users. - Introduced a new `core` module for autocomplete functionalities, including various operations and structures related to inline autocomplete. - Refactored the `autocomplete` module to improve organization and maintainability, consolidating related functionalities under appropriate namespaces. - Implemented initial JSON-RPC operations for autocomplete, ensuring a robust interface for managing autocomplete features. * Refactor and clean up code across multiple modules - Removed unnecessary whitespace in `TauriCommandsPanel.tsx`, improving code readability. - Cleaned up imports and reorganized code structure in `localCoreAiMemory.ts`, enhancing maintainability. - Streamlined module imports in `mod.rs` files across various directories, ensuring consistency and clarity. - Deleted the obsolete `rpc.rs` file in the `cron` module, consolidating functionality and reducing clutter. - Updated function definitions in `ops.rs` to improve formatting and readability, enhancing overall code quality. * Refactor session management and enhance module organization - Changed `sessionIndex` from a mutable variable to a constant in `localCoreAiMemory.ts`, improving code clarity and immutability. - Introduced new `ops.rs` files in the `approval`, `providers`, `skills`, and `quickjs_libs` modules, consolidating related functionalities and enhancing code organization. - Streamlined module imports in `mod.rs` files across various directories, ensuring consistency and clarity in module structure. - Removed obsolete code and unnecessary comments, improving overall code readability and maintainability. * Refactor configuration schema organization and module structure - Moved the configuration schema definitions from `mod.rs` to a new `types.rs` file, enhancing modularity and clarity. - Updated module imports across various files to reflect the new structure, ensuring consistency in the codebase. - Cleaned up obsolete code and comments, improving overall readability and maintainability. * Remove obsolete configuration schema file and its associated modules - Deleted the `types.rs` file from the configuration schema, consolidating the codebase and removing unused components. - This change enhances maintainability by eliminating redundant code and streamlining the overall structure of the configuration management. * Fix config schema module exports * Add configuration schema types and enhance module exports - Introduced a new `types.rs` file to define the top-level configuration structure for `config.toml`, improving modularity and clarity. - Updated `mod.rs` to re-export all public types and configurations, ensuring a streamlined interface for the configuration schema. - Enhanced the organization of configuration components, making it easier to manage and extend in the future. * Update import path for AuthProfile and AuthProfileKind in tests module - Changed the import statement for `AuthProfile` and `AuthProfileKind` to use the correct path, ensuring proper module resolution and consistency in the codebase. * Refactor import statements in test files for consistency - Cleaned up import statements across multiple test files by removing unnecessary components and ensuring uniformity in module imports. - This change enhances code readability and maintainability by streamlining the import structure. * Add agent chat and REPL session handling with schemas - Introduced new schemas for agent chat and REPL session management, enhancing the functionality of the agent module. - Implemented handlers for chat and REPL session operations, allowing for more interactive and persistent user sessions. - Updated the memory store to include category handling for memory entries, improving data organization and retrieval. - Refactored memory query methods to support ranked results and category storage, enhancing the memory management capabilities. - Improved error handling in memory recall tools to ensure non-empty parameters, increasing robustness and user feedback. * Refactor JSON-RPC method names for consistency and clarity - Updated JSON-RPC method names in tests to follow a consistent naming convention, improving readability and maintainability. - Adjusted parameter names in the JSON payload to align with the updated method names, ensuring proper functionality and clarity in the API interactions. - Enhanced overall code organization by streamlining method calls in the test suite.
