Feat/refactor UI code#52
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- Added a new AutocompletePanel component for managing inline autocomplete settings, including options for enabling/disabling, debounce timing, and style configurations. - Integrated autocomplete status tracking and logging within the panel to provide real-time feedback on the autocomplete engine's state. - Updated settings navigation to include the new autocomplete settings route, improving user accessibility to autocomplete features. - Introduced new Tauri commands for managing autocomplete operations, including start, stop, and current status retrieval, enhancing interaction with the autocomplete engine. - Refactored existing code to streamline autocomplete-related functionalities and improve overall maintainability.
- Modified `tsconfig.json` to adjust path aliases and include directories for improved module resolution. - Added new SVG and image assets to the public directory, enhancing the application's visual resources. - Introduced multiple Lottie animation JSON files for dynamic UI elements, expanding the application's animation capabilities.
- Adjusted paths in the pull request template and various workflow files to reflect the new project structure, moving Tauri-related files under the `app` directory. - Updated commands in the build and release workflows to ensure compatibility with the new file locations. - Enhanced the test workflow to create the necessary `.env` file in the correct directory for end-to-end testing. - Added new markdown files for agent prompts and configuration, establishing a foundation for OpenHuman's AI capabilities.
- Adjusted script paths in package.json to reflect the new project structure, ensuring compatibility with the updated directory layout. - Modified tsconfig.json to correct path aliases and include directories for improved module resolution. - Introduced a new utility for resolving development paths, enhancing the ability to locate the `rust-core/ai` directory across different project structures. - Updated Cargo.toml and tauri.conf.json to align with the new directory structure, ensuring proper resource and dependency management. - Added a new dev_paths module to streamline path resolution logic, improving maintainability and clarity in the codebase.
…ation - Adjusted paths in .gitignore, Cargo.toml, and various scripts to reflect the new directory layout, moving Tauri-related files under the `app` directory. - Introduced a new package.json file to manage workspace scripts and dependencies effectively. - Updated end-to-end build and run scripts to ensure compatibility with the new project structure. - Enhanced documentation in CONTRIBUTING.md to guide contributors on the updated project organization and Tauri command usage.
- Replaced direct `invoke` calls with utility functions from `tauriCommands` for improved readability and maintainability across multiple components. - Updated `SkillsGrid`, `Skills`, `SkillProvider`, and `SkillManager` to utilize the new command structure, enhancing consistency in Tauri command handling. - Introduced a new `coreRpcClient` for managing core RPC relay requests, streamlining error handling and request processing. - Added a new `core_rpc_relay` command in the Tauri backend to facilitate communication with the core service, ensuring better service management and error reporting.
…anager - Replaced direct `invoke` calls with utility functions from `tauriCommands` in `useIntelligenceStats` and `MemoryManager` for improved readability and maintainability. - Updated the `aiListMemoryFiles`, `aiReadMemoryFile`, and `aiWriteMemoryFile` functions to utilize the new command structure, enhancing consistency in Tauri command handling. - Introduced new command handling in the Rust backend for `ai.list_memory_files`, `ai.read_memory_file`, and `ai.write_memory_file`, streamlining communication with the core service.
- Removed the SelfEvolveModal component to streamline the SkillsGrid functionality. - Updated the SkillsGrid to utilize the runtimeDiscoverSkills function for loading skills, replacing the previous invoke method. - Simplified the skill entry normalization process by integrating it directly into the skills loading logic. - Enhanced error handling during skill loading to improve robustness and user feedback.
- Replaced direct `invoke` calls with `callCoreRpc` in various components, including `useIntelligenceStats`, `MemoryManager`, `SessionManager`, and `transcript` functions, enhancing code readability and maintainability. - Updated the Rust backend to handle new command structures for memory and session management, streamlining communication with the core service. - Improved consistency in handling Tauri commands across the application.
- Replaced direct `invoke` calls with `callCoreRpc` in `tauriCommands.ts` and `tauriSocket.ts`, enhancing code readability and maintainability. - Updated the Rust backend to support new command structures for authentication and session management, streamlining communication with the core service. - Removed legacy socket reporting methods in `tauriSocket.ts`, reflecting a shift towards event-driven socket state management. - Improved consistency in handling Tauri commands across the application, aligning with recent refactoring efforts.
…new objectives. This includes separating the binary from the Tauri codebase, integrating accessibility service installation, and removing Android/iOS support from the codebase.
- Introduced new modules for core server operations, including dispatching RPC requests and handling various AI and memory-related commands. - Implemented a robust structure for managing authentication, configuration, and session states through the `openhuman` namespace. - Added helper functions for loading configurations, managing memory files, and processing authentication profiles. - Established a new routing system using Axum for handling HTTP requests, including health checks and RPC endpoints. - Enhanced error handling and logging throughout the new functionalities to improve maintainability and user feedback.
- Introduced a new CLI module for the core server, enabling various commands for server management, health checks, and configuration settings. - Established a modular structure for core server functionalities, including dispatching RPC requests and managing settings for models, memory, and runtime. - Added comprehensive tests to validate the functionality of accessibility and autocomplete commands, ensuring robust error handling and schema compliance. - Enhanced the overall organization of the core server codebase, improving maintainability and readability.
- Introduced a new `ai_rpc` module for handling various AI-related commands, including memory file operations and session management. - Enhanced the `try_dispatch` function to support commands such as listing, reading, writing memory files, and managing session states. - Updated the core server dispatch module to integrate the new AI RPC functionality, improving modularity and maintainability. - Refactored existing code to ensure consistent parameter parsing and error handling across AI commands.
- Added new tasks to the TODO list for documentation updates and feature flag cleanup. - Introduced `Arc` import in `cli.rs` for improved concurrency handling. - Cleaned up imports in `helpers.rs` and added conditional compilation for `tauri-host`. - Removed unused `value_only` function in `types.rs` and added `#[allow(dead_code)]` to `SocketConnectParams` and `SocketEmitParams`. - Enhanced `try_dispatch` function in `dispatch/mod.rs` for non-tauri-host scenarios. - Updated `try_dispatch` in `openhuman/platform.rs` to correctly handle session parameters. - Modified `screen_intelligence` configuration in tests to include new properties for better session management.
- Cleaned up import statements across multiple files for improved organization and consistency. - Reformatted code in `cli.rs`, `helpers.rs`, and various dispatch modules to enhance readability. - Ensured consistent parameter handling in `try_dispatch` functions, improving maintainability. - Removed unnecessary whitespace and adjusted formatting for better code clarity.
- Consolidated the `openhuman-core` package into a single `Cargo.toml` file, removing the previous `rust-core` directory. - Introduced new modules for AI memory management, including filesystem-based storage and encryption functionalities. - Added Tauri commands for initializing memory and session management, enhancing user interaction with memory files. - Implemented JSON-based storage for memory chunks and session transcripts, improving data accessibility and organization. - Updated dependencies and features in `Cargo.toml` to support new functionalities and ensure compatibility.
- Adjusted paths in GitHub Actions workflows to accommodate the consolidation of the `openhuman-core` package into a single `Cargo.toml`. - Updated import statements in various files to point to the new locations of markdown resources. - Modified the Tauri configuration to reflect the new resource paths, ensuring proper access to AI prompts. - Enhanced the staging script to build the standalone binary from the updated project structure.
- Updated the logic for resolving AI directory paths to reflect the new project structure, replacing references to `rust-core/ai` with `src/ai/prompts`. - Enhanced the `find_ai_directory` function across multiple modules to utilize the new path resolution methods. - Updated documentation comments to clarify the new directory structure and fallback mechanisms for loading AI prompts.
- Updated package names in `Cargo.toml` and `Cargo.lock` to reflect the new naming convention. - Adjusted references in GitHub Actions workflows and scripts to use the new package name. - Modified CLI command names and error messages to align with the updated naming. - Ensured consistency in executable file names and paths throughout the codebase.
- Updated package.json to change workspace references from `openhuman` to `app` for build, compile, dev, format, lint, and test scripts. - Removed outdated memory and chat command files to streamline the codebase and improve maintainability. - Adjusted the `lib.rs` file to reflect changes in memory command handling, transitioning to use `callCoreRpc` for Neocortex memory operations. - Cleaned up the commands module by removing unused imports and consolidating functionality.
- Introduced new modules for Tauri host functionality, including `desktop` and `daemon_host`. - Added static variables and initialization functions for managing the desktop app handle and resource directory. - Updated import paths for `HeartbeatEngine` to improve clarity and organization. - Implemented configuration loading and saving for daemon UI preferences, enhancing user experience.
- Changed workspace references in package.json from `app` to `openhuman-app` for consistency. - Updated the name field in the app's package.json to reflect the new naming convention.
- Eliminated conditional compilation for Tauri host in `lib.rs`, `helpers.rs`, and `dispatch` modules. - Streamlined socket management functions and dispatch logic by removing unused code related to Tauri host. - Improved code clarity and maintainability by consolidating socket-related functionality.
- Added `tauri-host` as a default feature in `Cargo.toml` to streamline feature management. - Removed explicit feature flag from `openhuman` dependency in `app/src-tauri/Cargo.toml` for cleaner configuration. - Updated Tauri command attributes in various modules to conditionally compile with the `tauri-host` feature, improving modularity. - Expanded TODO list to include migration support from OpenClaw, indicating future development focus.
- Introduced new modules for handling authentication profiles and tokens, including `anthropic_token`, `openai_oauth`, and `profiles`. - Removed unused Tauri host-related code from core server modules, enhancing clarity and maintainability. - Updated `Cargo.toml` and `Cargo.lock` to reflect the removal of the `rquickjs` dependency and other package adjustments. - Streamlined memory client initialization in dispatch logic to utilize the new `local_memory` module. - Enhanced code organization by consolidating credential management functionalities and improving the overall structure of the OpenHuman module.
- Introduced a dedicated `rpc.rs` file for each domain in the Rust core to manage JSON-RPC and CLI behavior, improving code organization and clarity. - Refactored helper functions to utilize `rpc_invocation_from_outcome` for consistent handling of RPC responses across various modules. - Removed unused authentication and credential management functions from `helpers.rs`, consolidating relevant logic into the new RPC structure. - Updated dispatch logic in multiple modules to leverage the new RPC functions, enhancing maintainability and reducing code duplication.
- Introduced a dedicated `rpc.rs` file for each domain in the Rust core to manage JSON-RPC and CLI behavior, improving code organization and clarity. - Refactored helper functions to utilize `rpc_invocation_from_outcome` for consistent handling of RPC responses across various modules. - Removed unused authentication and credential management functions from `helpers.rs`, consolidating relevant logic into the new RPC structure. - Updated dispatch logic in multiple modules to leverage the new RPC functions, enhancing maintainability and reducing code duplication.
- Replaced the `load_openhuman_config` function with a new `load_config_with_timeout` method to improve timeout handling during configuration loading. - Consolidated configuration loading logic across various modules, reducing redundancy and enhancing maintainability. - Introduced new RPC functions for applying settings related to models, memory, screen intelligence, gateway, tunnel, runtime, and browser, streamlining the update process. - Added onboarding helpers in a new `onboard` module, including a JSON-RPC controller for model refresh operations, improving onboarding flow management.
- Added new options for the autocomplete command in the CLI, allowing users to run the autocomplete loop in the current process or spawn a detached process. - Introduced `AutocompleteStartCliOptions` struct to encapsulate the new command-line arguments. - Refactored the `autocomplete_start_cli` function to handle the new options and improve process management for the autocomplete service. - Updated documentation in `CLAUDE.md` to clarify the separation of concerns between routing and controller logic in the codebase.
…retrieval - Added a new function to identify "no text candidate" errors, improving error management in the autocomplete engine. - Refactored the `focused_text_context` and `focused_text_context_verbose` functions to enhance clarity and reliability in retrieving application context. - Updated the return format of the `focused_text_context_verbose` function to use a separator for better data parsing. - Added a new TODO item for allowing users to select LLM model versions based on their CPU capabilities.
…lated traits and tests - Deleted the DockerRuntime, NativeRuntime, and WasmRuntime implementations to streamline the codebase. - Removed associated traits and factory functions for runtime creation. - Eliminated all related tests to ensure a clean removal of unused components. - This refactor aims to simplify the runtime management and prepare for future enhancements.
- Added a new feature flag for `quickjs-runtime` in `Cargo.toml` to enable its usage. - Created a new `runtime.rs` module to implement `NativeRuntime` and `DockerRuntime` with associated traits for runtime management. - Updated the `skills` module to reference the correct path for `SkillConfig`. - Removed the obsolete `skillforge` module from the `openhuman` namespace to streamline the codebase. - Enhanced the `skills` module with new structures and functions for managing skills, including initialization and loading logic.
- Updated the default configuration for `AutocompleteConfig` to remove the legacy disabled apps ('terminal' and 'code'), allowing for broader usage of Codex/CLI.
- Introduced a migration function to handle legacy disabled apps during configuration loading, ensuring custom user preferences remain intact.
- This change enhances the flexibility of the autocomplete feature by preventing unnecessary restrictions on application usage.
- Updated the rquickjs and rquickjs-core dependencies to versions 0.11.0 and 0.9.0 respectively, ensuring compatibility with the latest features and fixes. - Added new entries for rquickjs-sys and its corresponding version 0.9.0 to the dependency list, enhancing the project's runtime capabilities. - This update improves the overall stability and performance of the application by leveraging the latest improvements in the rquickjs ecosystem.
- Introduced a new function `is_terminal_app` to identify terminal applications based on their names, enhancing the autocomplete feature's context awareness. - Updated the `focused_text_context_verbose` function to allow terminal applications to bypass text role checks when the input value is not empty, improving user experience in terminal environments. - This change aims to provide better support for terminal-based applications in the autocomplete system.
- Introduced functions to identify terminal-like buffers and filter out noise lines in terminal input, enhancing the autocomplete engine's context awareness. - Updated the `focused_text_context` logic to utilize the new terminal context extraction, improving the handling of text in terminal applications. - Enhanced the `focused_text_context_verbose` function to better retrieve static text values from UI elements, ensuring accurate context representation in terminal environments. - These changes aim to improve user experience and functionality for terminal-based applications in the autocomplete system.
- Added new fields `last_escape_down` and `last_overlay_signature` to `EngineState` for improved state tracking. - Implemented `try_reject_via_escape` method to handle escape key interactions, allowing users to reject suggestions more intuitively. - Updated error handling to display notifications for different states (ready, accepted, rejected, error) using `show_overflow_badge`. - Refactored state updates to ensure consistent management of suggestion and phase transitions, enhancing overall user experience in the autocomplete system.
- Added a polling mechanism to log the status of the autocomplete engine at regular intervals. - Enhanced logging to capture changes in phase, application name, suggestions, and errors, improving visibility during service execution. - Refactored the `autocomplete_start_cli` function to integrate the new logging functionality, ensuring a more informative user experience while the service is running.
- Updated the memory dispatch functions to utilize the new `memory_rpc` module, enhancing the handling of memory operations such as document management and namespace queries. - Removed the local memory implementation, including database interactions and related functions, to streamline the codebase and improve maintainability. - Introduced new RPC calls for document operations (put, list, delete) and context queries, ensuring a more efficient and consistent approach to memory management. - This refactor aims to enhance the overall architecture and performance of the memory handling system.
… functions - Deleted the `show_overflow_badge` and `escape_applescript_string` functions, which were specific to macOS, to streamline the codebase. - Refactored the `show_overflow_badge` function to provide a no-op implementation for non-macOS platforms, enhancing cross-platform compatibility. - This change simplifies the autocomplete module by removing platform-dependent code, improving maintainability and clarity.
- Updated the `apply_text_to_focused_field` function to improve interaction with focused UI elements on macOS. - The new implementation retrieves the current value of the focused element and appends the provided text, ensuring better handling of text input. - Enhanced error reporting to include stderr output when applying suggestions fails, improving debugging capabilities. - These changes aim to provide a more robust and user-friendly experience in the autocomplete functionality.
- Moved the `landlock` and `rppal` dependencies under a conditional target configuration for Linux in both `Cargo.toml` files, ensuring they are only included when building for Linux. - Updated the `landlock.rs` module to check for both the `sandbox-landlock` feature and the Linux target OS, improving the conditional compilation logic. - This change enhances cross-platform compatibility and ensures that Landlock functionality is only available on supported systems.
- Updated the Tauri dependency in `Cargo.toml` to include the `tray-icon` feature, enabling system tray support. - Introduced a new `rust-toolchain.toml` file to pin the Rust version to 1.93.0, ensuring compatibility with the matrix-sdk. - Modified GitHub workflows to use the specified Rust version from `rust-toolchain.toml` instead of the stable version, improving build consistency. - Refactored Tauri commands to utilize a new `wrapCommandResult` function for better response handling. - Added a new `tray` module in `openhuman` for managing system tray functionality, enhancing the desktop experience. - Updated various command implementations to streamline service management and improve error handling.
- Removed the `openhuman` dependency from `Cargo.lock` and `Cargo.toml`, streamlining the project structure. - Updated the core process handling to fall back to a child process when in-process execution is unavailable, improving error handling and logging. - Introduced new encryption commands (`ai_init_encryption`, `ai_encrypt`, `ai_decrypt`) to enhance security features, utilizing AES-GCM for data protection. - Added a new `tray` module for managing system tray functionality, improving user experience on desktop platforms. - Refactored various command implementations to improve service management and error handling, ensuring a more robust application architecture.
- Deleted the `daemon_host_config`, `memory`, `models`, `openhuman_daemon`, `tray`, `chat`, `conscious_loop`, and `runtime` modules to streamline the codebase. - Refactored the daemon host configuration logic into the `openhuman` module, consolidating related functionality. - Updated command implementations to utilize the new configuration methods, ensuring consistent handling of daemon host settings. - This cleanup enhances maintainability and reduces complexity in the project structure.
- Removed the `tray-icon` feature from the Tauri dependency in `Cargo.toml` to streamline the configuration. - Deleted the `core:tray:default` capability from the default capabilities JSON, simplifying the capabilities structure. - Refactored memory handling in tests to utilize `UnifiedMemory` instead of `SqliteMemory`, enhancing consistency across memory operations. - Updated memory store, recall, and forget functionalities to support a global namespace, improving memory management and retrieval processes. - Enhanced error handling and logging in memory operations to provide clearer feedback during execution.
- Deleted the `ai_init_encryption`, `ai_encrypt`, and `ai_decrypt` functions to streamline the codebase and remove unused features. - Updated the command registration in the `run` function to reflect the removal of these encryption commands, enhancing maintainability and reducing complexity.
- Introduced functions to fetch and encrypt integration tokens using OAuth, enhancing security for token management. - Updated the channel connections API to support OAuth integration, including listing, connecting, and disconnecting channels. - Implemented checks for supported channels and authentication modes, improving the robustness of channel connection handling. - Enhanced error handling for integration token retrieval to ensure required fields are present before proceeding.
- Renamed the project from "Outsourced" to "OpenHuman" and revised the project summary to reflect its focus on AI-powered assistance for crypto communities. - Restructured the repository layout, detailing the purpose of each directory and its contents. - Updated runtime scope to clarify platform support and Tauri's desktop-only focus. - Enhanced documentation across various files, including architecture, services, and routing, to improve clarity and usability for contributors. - Removed outdated sections and streamlined commands for development and production builds, ensuring consistency in the documentation.
- Introduced a new REPL session management system, allowing for session-specific interactions with agents. - Added functions for starting, chatting, resetting, and ending REPL sessions, enhancing user experience and control. - Implemented multimodal message handling, enabling the processing of images alongside text in user messages. - Updated the project structure to include new modules for identity and multimodal functionalities, improving organization and maintainability. - Enhanced error handling and logging for session operations, providing clearer feedback during execution.
…agement - Removed the legacy memory store implementation and replaced it with a new unified memory management system. - Introduced a `MemoryClient` for handling document storage, retrieval, and namespace management. - Added support for key-value storage and graph data structures within the unified memory framework. - Enhanced the `UnifiedMemory` struct with methods for document upsertion, querying, and namespace operations. - Updated the project structure to include new modules for memory types, factories, and traits, improving organization and maintainability. - Improved error handling and logging across memory operations for clearer feedback during execution.
- Removed the previous QjsSkillInstance implementation and replaced it with a new modular structure. - Introduced separate modules for event loop management, instance handling, JavaScript handlers, and utility functions. - Enhanced the event loop to efficiently manage QuickJS runtime tasks, including timer callbacks and message processing. - Added support for asynchronous tool calls and lifecycle management within the QuickJS context. - Improved error handling and logging throughout the new implementation for better debugging and user feedback. - Updated documentation to reflect the new structure and functionality of the QuickJS skill instance.
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…nyhumansai#52) * Enhance socket connection logging and URL handling - Added logging for the backend URL in the `runtime_socket_connect` function to improve traceability. - Updated the `SocketManager` to convert HTTP/HTTPS URLs to WebSocket URLs, enhancing connection handling. - Improved error logging to capture detailed error chains during connection failures, aiding in debugging. * Enhance TDLib integration and macOS bundling process - Updated build.rs to include a setup function for TDLib, ensuring the correct version is used based on the target OS. - Added a new script, build-tdlib-from-source.sh, to facilitate building TDLib from source for macOS with the appropriate deployment target. - Modified .gitignore to exclude the new tdlib-local and tdlib-build directories. - Updated tauri.conf.json to streamline TDLib references and ensure compatibility with the new bundling process. - Removed outdated bundling scripts to simplify the build workflow. * Refactor socket management and update dependencies - Updated `build.rs` to correctly reference architecture-specific paths for local TDLib builds. - Replaced `rust_socketio` with `tf-rust-socketio` in `Cargo.toml` and `socket_manager.rs` to align with the new dependency structure. - Enhanced logging in `socket_manager.rs` for better connection diagnostics and pre-flight checks. - Updated `build-tdlib-from-source.sh` to define architecture-specific build and install directories, improving build isolation. * Update TDLib installation process and refine socket payload handling - Modified `build-tdlib-from-source.sh` to manually install `tdjson` libraries, addressing potential installation failures. - Updated `socket_manager.rs` to handle payloads with an additional parameter in `Payload::Text`, improving data extraction and connection management. * Add macOS TDLib binary for version 1.8.29 - Introduced the `libtdjson.1.8.29.dylib` binary to the macOS TDLib prebuilt directory, enabling integration with the latest TDLib features and improvements. * Refactor SocketManager to use WebSocket and update dependencies - Replaced `tf-rust-socketio` with a WebSocket-based implementation using `tokio-tungstenite`, enhancing connection stability and compatibility. - Updated `Cargo.toml` to include new features for `reqwest` and removed deprecated dependencies. - Improved documentation in `socket_manager.rs` to clarify the new WebSocket connection handling and its implications for Android. - Streamlined connection lifecycle management and error handling for better performance and maintainability.
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* Enhance autocomplete functionality and settings panel
- Added a new AutocompletePanel component for managing inline autocomplete settings, including options for enabling/disabling, debounce timing, and style configurations.
- Integrated autocomplete status tracking and logging within the panel to provide real-time feedback on the autocomplete engine's state.
- Updated settings navigation to include the new autocomplete settings route, improving user accessibility to autocomplete features.
- Introduced new Tauri commands for managing autocomplete operations, including start, stop, and current status retrieval, enhancing interaction with the autocomplete engine.
- Refactored existing code to streamline autocomplete-related functionalities and improve overall maintainability.
* Update TypeScript configuration and add new assets
- Modified `tsconfig.json` to adjust path aliases and include directories for improved module resolution.
- Added new SVG and image assets to the public directory, enhancing the application's visual resources.
- Introduced multiple Lottie animation JSON files for dynamic UI elements, expanding the application's animation capabilities.
* Update project structure and paths for Tauri integration
- Adjusted paths in the pull request template and various workflow files to reflect the new project structure, moving Tauri-related files under the `app` directory.
- Updated commands in the build and release workflows to ensure compatibility with the new file locations.
- Enhanced the test workflow to create the necessary `.env` file in the correct directory for end-to-end testing.
- Added new markdown files for agent prompts and configuration, establishing a foundation for OpenHuman's AI capabilities.
* Refactor project paths and update configurations for Tauri integration
- Adjusted script paths in package.json to reflect the new project structure, ensuring compatibility with the updated directory layout.
- Modified tsconfig.json to correct path aliases and include directories for improved module resolution.
- Introduced a new utility for resolving development paths, enhancing the ability to locate the `rust-core/ai` directory across different project structures.
- Updated Cargo.toml and tauri.conf.json to align with the new directory structure, ensuring proper resource and dependency management.
- Added a new dev_paths module to streamline path resolution logic, improving maintainability and clarity in the codebase.
* Refactor project structure and update configurations for Tauri integration
- Adjusted paths in .gitignore, Cargo.toml, and various scripts to reflect the new directory layout, moving Tauri-related files under the `app` directory.
- Introduced a new package.json file to manage workspace scripts and dependencies effectively.
- Updated end-to-end build and run scripts to ensure compatibility with the new project structure.
- Enhanced documentation in CONTRIBUTING.md to guide contributors on the updated project organization and Tauri command usage.
* Refactor Tauri command invocations to use dedicated utility functions
- Replaced direct `invoke` calls with utility functions from `tauriCommands` for improved readability and maintainability across multiple components.
- Updated `SkillsGrid`, `Skills`, `SkillProvider`, and `SkillManager` to utilize the new command structure, enhancing consistency in Tauri command handling.
- Introduced a new `coreRpcClient` for managing core RPC relay requests, streamlining error handling and request processing.
- Added a new `core_rpc_relay` command in the Tauri backend to facilitate communication with the core service, ensuring better service management and error reporting.
* Refactor Tauri command invocations in intelligence stats and memory manager
- Replaced direct `invoke` calls with utility functions from `tauriCommands` in `useIntelligenceStats` and `MemoryManager` for improved readability and maintainability.
- Updated the `aiListMemoryFiles`, `aiReadMemoryFile`, and `aiWriteMemoryFile` functions to utilize the new command structure, enhancing consistency in Tauri command handling.
- Introduced new command handling in the Rust backend for `ai.list_memory_files`, `ai.read_memory_file`, and `ai.write_memory_file`, streamlining communication with the core service.
* Refactor SkillsGrid and remove SelfEvolveModal component
- Removed the SelfEvolveModal component to streamline the SkillsGrid functionality.
- Updated the SkillsGrid to utilize the runtimeDiscoverSkills function for loading skills, replacing the previous invoke method.
- Simplified the skill entry normalization process by integrating it directly into the skills loading logic.
- Enhanced error handling during skill loading to improve robustness and user feedback.
* Refactor Tauri command invocations to use coreRpcClient
- Replaced direct `invoke` calls with `callCoreRpc` in various components, including `useIntelligenceStats`, `MemoryManager`, `SessionManager`, and `transcript` functions, enhancing code readability and maintainability.
- Updated the Rust backend to handle new command structures for memory and session management, streamlining communication with the core service.
- Improved consistency in handling Tauri commands across the application.
* Refactor Tauri command invocations to utilize coreRpcClient
- Replaced direct `invoke` calls with `callCoreRpc` in `tauriCommands.ts` and `tauriSocket.ts`, enhancing code readability and maintainability.
- Updated the Rust backend to support new command structures for authentication and session management, streamlining communication with the core service.
- Removed legacy socket reporting methods in `tauriSocket.ts`, reflecting a shift towards event-driven socket state management.
- Improved consistency in handling Tauri commands across the application, aligning with recent refactoring efforts.
* Remove pre-commit hook and update TODO list with completed tasks and new objectives. This includes separating the binary from the Tauri codebase, integrating accessibility service installation, and removing Android/iOS support from the codebase.
* Add core server functionality with dispatch and RPC handling
- Introduced new modules for core server operations, including dispatching RPC requests and handling various AI and memory-related commands.
- Implemented a robust structure for managing authentication, configuration, and session states through the `openhuman` namespace.
- Added helper functions for loading configurations, managing memory files, and processing authentication profiles.
- Established a new routing system using Axum for handling HTTP requests, including health checks and RPC endpoints.
- Enhanced error handling and logging throughout the new functionalities to improve maintainability and user feedback.
* Implement core server CLI and modular structure
- Introduced a new CLI module for the core server, enabling various commands for server management, health checks, and configuration settings.
- Established a modular structure for core server functionalities, including dispatching RPC requests and managing settings for models, memory, and runtime.
- Added comprehensive tests to validate the functionality of accessibility and autocomplete commands, ensuring robust error handling and schema compliance.
- Enhanced the overall organization of the core server codebase, improving maintainability and readability.
* Implement AI RPC dispatch functionality
- Introduced a new `ai_rpc` module for handling various AI-related commands, including memory file operations and session management.
- Enhanced the `try_dispatch` function to support commands such as listing, reading, writing memory files, and managing session states.
- Updated the core server dispatch module to integrate the new AI RPC functionality, improving modularity and maintainability.
- Refactored existing code to ensure consistent parameter parsing and error handling across AI commands.
* Update TODO list and refactor Rust core server files
- Added new tasks to the TODO list for documentation updates and feature flag cleanup.
- Introduced `Arc` import in `cli.rs` for improved concurrency handling.
- Cleaned up imports in `helpers.rs` and added conditional compilation for `tauri-host`.
- Removed unused `value_only` function in `types.rs` and added `#[allow(dead_code)]` to `SocketConnectParams` and `SocketEmitParams`.
- Enhanced `try_dispatch` function in `dispatch/mod.rs` for non-tauri-host scenarios.
- Updated `try_dispatch` in `openhuman/platform.rs` to correctly handle session parameters.
- Modified `screen_intelligence` configuration in tests to include new properties for better session management.
* Refactor import statements and enhance code readability
- Cleaned up import statements across multiple files for improved organization and consistency.
- Reformatted code in `cli.rs`, `helpers.rs`, and various dispatch modules to enhance readability.
- Ensured consistent parameter handling in `try_dispatch` functions, improving maintainability.
- Removed unnecessary whitespace and adjusted formatting for better code clarity.
* Refactor project structure and enhance AI memory management
- Consolidated the `openhuman-core` package into a single `Cargo.toml` file, removing the previous `rust-core` directory.
- Introduced new modules for AI memory management, including filesystem-based storage and encryption functionalities.
- Added Tauri commands for initializing memory and session management, enhancing user interaction with memory files.
- Implemented JSON-based storage for memory chunks and session transcripts, improving data accessibility and organization.
- Updated dependencies and features in `Cargo.toml` to support new functionalities and ensure compatibility.
* Update build and release workflows to reflect project structure changes
- Adjusted paths in GitHub Actions workflows to accommodate the consolidation of the `openhuman-core` package into a single `Cargo.toml`.
- Updated import statements in various files to point to the new locations of markdown resources.
- Modified the Tauri configuration to reflect the new resource paths, ensuring proper access to AI prompts.
- Enhanced the staging script to build the standalone binary from the updated project structure.
* Refactor AI directory resolution and update documentation
- Updated the logic for resolving AI directory paths to reflect the new project structure, replacing references to `rust-core/ai` with `src/ai/prompts`.
- Enhanced the `find_ai_directory` function across multiple modules to utilize the new path resolution methods.
- Updated documentation comments to clarify the new directory structure and fallback mechanisms for loading AI prompts.
* Rename `openhuman-core` to `openhuman` across the project
- Updated package names in `Cargo.toml` and `Cargo.lock` to reflect the new naming convention.
- Adjusted references in GitHub Actions workflows and scripts to use the new package name.
- Modified CLI command names and error messages to align with the updated naming.
- Ensured consistency in executable file names and paths throughout the codebase.
* Refactor project commands and update package scripts
- Updated package.json to change workspace references from `openhuman` to `app` for build, compile, dev, format, lint, and test scripts.
- Removed outdated memory and chat command files to streamline the codebase and improve maintainability.
- Adjusted the `lib.rs` file to reflect changes in memory command handling, transitioning to use `callCoreRpc` for Neocortex memory operations.
- Cleaned up the commands module by removing unused imports and consolidating functionality.
* Add Tauri host support and new daemon configuration
- Introduced new modules for Tauri host functionality, including `desktop` and `daemon_host`.
- Added static variables and initialization functions for managing the desktop app handle and resource directory.
- Updated import paths for `HeartbeatEngine` to improve clarity and organization.
- Implemented configuration loading and saving for daemon UI preferences, enhancing user experience.
* Update package names in project configuration
- Changed workspace references in package.json from `app` to `openhuman-app` for consistency.
- Updated the name field in the app's package.json to reflect the new naming convention.
* Remove Tauri host feature flags from core server modules
- Eliminated conditional compilation for Tauri host in `lib.rs`, `helpers.rs`, and `dispatch` modules.
- Streamlined socket management functions and dispatch logic by removing unused code related to Tauri host.
- Improved code clarity and maintainability by consolidating socket-related functionality.
* Enhance Tauri host feature integration and update dependencies
- Added `tauri-host` as a default feature in `Cargo.toml` to streamline feature management.
- Removed explicit feature flag from `openhuman` dependency in `app/src-tauri/Cargo.toml` for cleaner configuration.
- Updated Tauri command attributes in various modules to conditionally compile with the `tauri-host` feature, improving modularity.
- Expanded TODO list to include migration support from OpenClaw, indicating future development focus.
* Refactor authentication and credential management in OpenHuman
- Introduced new modules for handling authentication profiles and tokens, including `anthropic_token`, `openai_oauth`, and `profiles`.
- Removed unused Tauri host-related code from core server modules, enhancing clarity and maintainability.
- Updated `Cargo.toml` and `Cargo.lock` to reflect the removal of the `rquickjs` dependency and other package adjustments.
- Streamlined memory client initialization in dispatch logic to utilize the new `local_memory` module.
- Enhanced code organization by consolidating credential management functionalities and improving the overall structure of the OpenHuman module.
* Enhance Rust core RPC structure and streamline helper functions
- Introduced a dedicated `rpc.rs` file for each domain in the Rust core to manage JSON-RPC and CLI behavior, improving code organization and clarity.
- Refactored helper functions to utilize `rpc_invocation_from_outcome` for consistent handling of RPC responses across various modules.
- Removed unused authentication and credential management functions from `helpers.rs`, consolidating relevant logic into the new RPC structure.
- Updated dispatch logic in multiple modules to leverage the new RPC functions, enhancing maintainability and reducing code duplication.
* Enhance Rust core RPC structure and streamline helper functions
- Introduced a dedicated `rpc.rs` file for each domain in the Rust core to manage JSON-RPC and CLI behavior, improving code organization and clarity.
- Refactored helper functions to utilize `rpc_invocation_from_outcome` for consistent handling of RPC responses across various modules.
- Removed unused authentication and credential management functions from `helpers.rs`, consolidating relevant logic into the new RPC structure.
- Updated dispatch logic in multiple modules to leverage the new RPC functions, enhancing maintainability and reducing code duplication.
* Refactor OpenHuman configuration loading and enhance onboarding RPC
- Replaced the `load_openhuman_config` function with a new `load_config_with_timeout` method to improve timeout handling during configuration loading.
- Consolidated configuration loading logic across various modules, reducing redundancy and enhancing maintainability.
- Introduced new RPC functions for applying settings related to models, memory, screen intelligence, gateway, tunnel, runtime, and browser, streamlining the update process.
- Added onboarding helpers in a new `onboard` module, including a JSON-RPC controller for model refresh operations, improving onboarding flow management.
* Refactor CLI and configuration management in OpenHuman
- Consolidated CLI-related functionality by introducing new modules for settings and credentials management, enhancing code organization.
- Removed redundant functions and streamlined the configuration loading process, improving maintainability.
- Added new CLI helpers for screenshot tools and workspace initialization, facilitating better user experience and onboarding.
- Enhanced JSON-RPC responses to be more compatible with CLI requirements, ensuring consistent output across various commands.
* Remove gateway settings and related functionality from OpenHuman
- Eliminated the GatewaySettingsUpdate interface and associated functions from the codebase, streamlining configuration management.
- Removed references to gateway settings in the CLI and configuration modules, enhancing clarity and maintainability.
- Deleted the gateway module and its related components, including rate limiting and client handling, to simplify the architecture.
- Updated Cargo.toml and Cargo.lock to reflect the removal of dependencies related to gateway functionality.
* Update documentation and improve clarity in OpenHuman
- Revised comments in the `mod.rs`, `traits.rs`, and `pairing.rs` files to enhance clarity and accuracy.
- Updated descriptions related to security policy, long-running processes, and pairing functionality for better understanding.
* Refactor loading prop in TauriCommandsPanel for cleaner code
- Simplified the loading prop assignment in the TauriCommandsPanel component by removing unnecessary line breaks, enhancing readability and maintainability.
* Add OpenSSL dependency and implement OAuth authentication features
- Added OpenSSL as a dependency in `Cargo.toml` to support cryptographic operations.
- Introduced new OAuth-related structures and parameters in `types.rs` for handling authentication flows.
- Implemented OAuth connection and integration token fetching in `auth_socket.rs`, enhancing the authentication capabilities of the OpenHuman module.
- Created new modules for managing authentication profiles and responses, improving the organization of authentication-related code.
- Removed deprecated `anthropic_token` and `openai_oauth` modules to streamline credential management.
- Updated `Cargo.lock` to reflect the addition of the OpenSSL dependency.
* Refactor OpenHuman module and update dependencies
- Added OpenHuman integration entry in the registry for improved backend inference handling.
- Updated various files to enhance code clarity and organization, including adjustments to OAuth client methods and integration tests.
- Refactored import statements and removed unnecessary line breaks for better readability.
- Updated `Cargo.lock` to reflect changes in dependencies and ensure consistency across the project.
* Implement desktop host features and refactor runtime handling
- Introduced new modules for memory management, socket handling, and command definitions to support desktop host functionality.
- Refactored QuickJS runtime initialization to log errors when the engine is not linked, improving clarity on runtime status.
- Added placeholder commands for chat and model interactions, indicating unavailability in the desktop build while maintaining structure for future integration.
- Enhanced organization of the codebase by creating dedicated files for runtime and utility functions, streamlining the development process.
- Updated documentation to reflect new modules and their purposes, ensuring better understanding for future contributors.
* Add CLI banner and print function to enhance user experience
- Introduced a new CLI banner with branding and GitHub link for user engagement.
- Implemented a `print_cli_banner` function to display the banner when running the CLI, improving visibility and user interaction.
- Updated the CLI entry point to call the new banner function, ensuring it appears at startup.
* Add API integration and update dependencies
- Introduced new API modules for handling HTTP requests and WebSocket connections to the TinyHumans backend.
- Added `ureq` dependency for simplified HTTP client functionality, updating `Cargo.toml` and `Cargo.lock` accordingly.
- Implemented configuration and JWT handling in the new `api` module, enhancing session management and API interactions.
- Refactored existing code to utilize the new API helpers, improving code organization and maintainability.
- Updated documentation to reflect new API functionalities and usage guidelines.
* Refactor settings fetching and update dependencies
- Removed the `ureq` dependency and associated functions for fetching settings, streamlining the codebase.
- Updated the `fetch_settings` method to utilize `reqwest` for HTTP requests, enhancing consistency and reliability in API interactions.
- Adjusted the `Cargo.toml` to reflect the removal of `ureq`, ensuring dependencies are up to date.
* Update `ureq` dependency to version 3.3.0 in `Cargo.lock`
- Removed the specific version constraint for `ureq`, allowing for more flexibility in dependency resolution.
- Updated the `Cargo.lock` to reflect the new version of `ureq`, ensuring compatibility with recent changes in the codebase.
* Enhance JSON-RPC logging and CLI initialization
- Introduced a new `rpc_log` module for structured logging of JSON-RPC requests and responses, including redaction of sensitive parameters.
- Updated `execute_core_cli` to initialize logging with a default level and timestamp format.
- Enhanced logging in `rpc_handler` and `dispatch` functions to provide detailed insights into method calls and their execution times.
- Improved error handling logging to capture method failures with context, aiding in debugging and monitoring.
* Refactor HTTP server setup and add integration tests
- Introduced a new `build_core_http_router` function to encapsulate the HTTP routing logic, improving code organization and readability.
- Updated the `run_server` function to utilize the new router function, streamlining server initialization.
- Added comprehensive integration tests for the JSON-RPC API, ensuring robust functionality and error handling in real-world scenarios.
* Enhance OpenHuman backend integration and refactor provider handling
- Added support for the OpenHuman backend in the TauriCommandsPanel, including default configurations and validation for API keys.
- Introduced a new REPL command in the CLI for interactive RPC communication, allowing for dynamic mode switching and message handling.
- Refactored provider creation logic to streamline the integration of the OpenHuman backend, removing deprecated provider overrides and ensuring consistent usage across the codebase.
- Updated various components to improve error handling and user feedback related to provider selection and API interactions.
* Refactor provider handling and update default model settings
- Removed provider override states from the AgentChatPanel and TauriCommandsPanel components, simplifying state management.
- Updated local storage handling to exclude provider overrides, ensuring cleaner data storage.
- Changed default model settings across various components and backend configurations to use "neocortex-mk1" as the new default model.
- Enhanced error handling and validation logic in the TauriCommandsPanel, focusing on model and temperature settings.
- Streamlined integration tests and removed deprecated provider validation logic to improve code clarity and maintainability.
* Refactor code for improved readability and consistency
- Adjusted formatting in several files to enhance code clarity, including consistent parameter passing and alignment.
- Simplified match statement syntax in the `run_models` function for better readability.
- Streamlined assertions in tests to maintain consistency in error handling checks.
- Updated default model name handling in the `AgentBuilder` for cleaner initialization.
* Refactor API URL handling and enhance error reporting
- Updated the `effective_api_url` function to improve clarity in resolving the API base URL, incorporating environment variable checks.
- Enhanced diagnostics in the configuration check to provide clearer messages regarding the API URL status.
- Introduced new error formatting functions to improve the clarity of error messages related to API transport issues.
- Refactored error handling in the OpenAiCompatibleProvider to utilize the new error formatting, ensuring consistent and informative error reporting.
* Refactor API client initialization for consistency
- Updated the instantiation of `BackendOAuthClient` to consistently pass the API URL by reference across multiple functions.
- Simplified the match statement in the `run_models_refresh` function for improved readability.
* Enhance REPL command handling and add fallback mechanisms
- Improved error handling in the REPL command processing, providing clearer feedback for command execution failures.
- Introduced a fallback mechanism for the `agent_chat` RPC call, allowing for graceful degradation to a simpler chat method or a direct backend curl transport if the primary call fails.
- Added a new `backend_chat_via_curl` function to handle chat requests using curl as a last resort, ensuring continued functionality in case of RPC issues.
- Updated the `agent_chat_simple` function to support model overrides and temperature settings, enhancing flexibility in chat interactions.
* Update default Ollama model settings for consistency
- Changed the default Ollama model and vision model to "gemma3:4b-it-qat" for improved alignment across configurations.
- Ensured consistent model naming to enhance clarity in model usage within the local AI module.
* Implement login token consumption and enhance error handling
- Added functionality to consume login tokens via a new API endpoint, returning a JWT for authenticated sessions.
- Improved error handling in the Conversations component, introducing a fallback mechanism for chat interactions when the primary method is unavailable.
- Updated UserProvider to restore session tokens automatically, enhancing user experience during authentication.
- Refactored thread API to support the new login token consumption logic, ensuring seamless integration with the backend.
* Update HTTP client configuration to use Rustls TLS
- Replaced the HTTP/1.1 only setting with Rustls TLS in the OpenAiCompatibleProvider's client builder for enhanced security.
- Ensured consistent application of the new TLS setting across multiple client instances.
* Add Local AI command support and enhance error handling
- Introduced a new `LocalAi` command in the CLI for managing local AI runtime operations, including status checks, asset downloads, and prompt handling.
- Added detailed argument structures for various local AI functionalities, improving command usability.
- Enhanced error reporting in the `LocalAiService` by including response details in error messages for better debugging and user feedback.
- Refactored existing error handling to provide clearer context on failures during API interactions.
* Add local AI module with Ollama integration and model management
- Introduced a new local AI module that includes functionality for automatic installation of the Ollama runtime across different operating systems (Windows, macOS, Linux).
- Implemented model ID resolution and management, providing default settings for various AI models and ensuring compatibility with user configurations.
- Added HTTP API structures and request handling for Ollama, enabling interaction with the local AI service for generating responses and managing assets.
- Developed utility functions for parsing model outputs and managing workspace paths, enhancing the overall structure and usability of the local AI service.
- Established a comprehensive service layer for managing local AI operations, including status tracking and error handling for improved user experience.
* Refactor local AI service structure and enhance asset management
- Simplified the local AI module by reorganizing the service structure, introducing new modules for model IDs, paths, and asset management.
- Added comprehensive asset status tracking for various AI models, including chat, vision, embedding, STT, and TTS, with improved error handling.
- Implemented methods for downloading models and assets, ensuring better management of local AI resources.
- Updated visibility of service methods to enhance encapsulation and maintainability within the local AI service.
* Enhance local AI module with new download progress tracking and unit tests
- Added new structures for tracking download progress of various AI models, including detailed status and metrics.
- Implemented unit tests for model ID resolution, parsing suggestions, and asset path resolution to ensure robust functionality.
- Refactored service methods to improve encapsulation and maintainability, enhancing the overall structure of the local AI service.
- Updated existing tests to cover new functionalities and ensure consistent behavior across the module.
* Implement new local AI download functionalities and refactor model management
- Added support for downloading all local AI assets and tracking download progress, enhancing user experience and resource management.
- Introduced new RPC methods for fetching download progress and managing asset states, improving the overall functionality of the local AI module.
- Refactored existing model management code to utilize the new model catalog, ensuring better organization and maintainability.
- Updated relevant tests to cover new functionalities and ensure consistent behavior across the local AI service.
* Add new interfaces and functions for local AI download progress tracking
- Introduced `LocalAiDownloadProgressItem` and `LocalAiDownloadsProgress` interfaces to structure download progress data for various AI models.
- Implemented `openhumanLocalAiDownloadAllAssets` and `openhumanLocalAiDownloadsProgress` functions to facilitate downloading all assets and tracking their progress.
- Enhanced error handling for Tauri environment checks in new functions, ensuring robust operation within the local AI module.
* Refactor agent loop structure and introduce modular components
- Deleted the `loop_.rs` file and reorganized the agent loop into multiple modules for better maintainability and clarity.
- Introduced new files for handling credentials, history management, tool instructions, memory context, and parsing logic.
- Implemented functions for scrubbing sensitive credentials, managing conversation history, and building tool instructions.
- Enhanced the overall structure of the agent loop to facilitate easier testing and future development.
* Refactor authentication structure and migrate to credentials module
- Moved authentication-related functionality from `auth_profiles` to a new `credentials` module for better organization and clarity.
- Updated references in the API and core server to reflect the new module structure.
- Introduced new data structures and methods for managing authentication profiles, including session support and response handling.
- Removed the obsolete `auth_profiles` module to streamline the codebase and enhance maintainability.
* Add screen intelligence module with capture and context management
- Introduced new modules for screen capture and context management, specifically targeting macOS.
- Implemented functionality to capture screen images and retrieve foreground application context.
- Added data structures for managing application context and window bounds.
- Established limits for screenshot sizes and context character counts to ensure efficient resource management.
- Enhanced helper functions for input action validation and vision summary processing.
- Set up a modular structure for better maintainability and future enhancements.
* Refactor screen intelligence module and remove obsolete components
- Deleted unused files related to screen intelligence, including context and permissions management, to streamline the codebase.
- Refactored the capture functionality to improve organization and maintainability.
- Updated function signatures for better clarity and consistency.
- Enhanced the overall structure of the screen intelligence module for future development and testing.
* Enhance autocomplete CLI functionality and refactor related code
- Added new options for the autocomplete command in the CLI, allowing users to run the autocomplete loop in the current process or spawn a detached process.
- Introduced `AutocompleteStartCliOptions` struct to encapsulate the new command-line arguments.
- Refactored the `autocomplete_start_cli` function to handle the new options and improve process management for the autocomplete service.
- Updated documentation in `CLAUDE.md` to clarify the separation of concerns between routing and controller logic in the codebase.
* Enhance autocomplete error handling and improve focused text context retrieval
- Added a new function to identify "no text candidate" errors, improving error management in the autocomplete engine.
- Refactored the `focused_text_context` and `focused_text_context_verbose` functions to enhance clarity and reliability in retrieving application context.
- Updated the return format of the `focused_text_context_verbose` function to use a separator for better data parsing.
- Added a new TODO item for allowing users to select LLM model versions based on their CPU capabilities.
* Remove Docker, Native, and WASM runtime implementations along with related traits and tests
- Deleted the DockerRuntime, NativeRuntime, and WasmRuntime implementations to streamline the codebase.
- Removed associated traits and factory functions for runtime creation.
- Eliminated all related tests to ensure a clean removal of unused components.
- This refactor aims to simplify the runtime management and prepare for future enhancements.
* Add quickjs-runtime feature and introduce runtime module
- Added a new feature flag for `quickjs-runtime` in `Cargo.toml` to enable its usage.
- Created a new `runtime.rs` module to implement `NativeRuntime` and `DockerRuntime` with associated traits for runtime management.
- Updated the `skills` module to reference the correct path for `SkillConfig`.
- Removed the obsolete `skillforge` module from the `openhuman` namespace to streamline the codebase.
- Enhanced the `skills` module with new structures and functions for managing skills, including initialization and loading logic.
* Refactor autocomplete configuration to remove legacy disabled apps
- Updated the default configuration for `AutocompleteConfig` to remove the legacy disabled apps ('terminal' and 'code'), allowing for broader usage of Codex/CLI.
- Introduced a migration function to handle legacy disabled apps during configuration loading, ensuring custom user preferences remain intact.
- This change enhances the flexibility of the autocomplete feature by preventing unnecessary restrictions on application usage.
* Update rquickjs dependencies in Cargo.lock
- Updated the rquickjs and rquickjs-core dependencies to versions 0.11.0 and 0.9.0 respectively, ensuring compatibility with the latest features and fixes.
- Added new entries for rquickjs-sys and its corresponding version 0.9.0 to the dependency list, enhancing the project's runtime capabilities.
- This update improves the overall stability and performance of the application by leveraging the latest improvements in the rquickjs ecosystem.
* Add terminal application detection to autocomplete logic
- Introduced a new function `is_terminal_app` to identify terminal applications based on their names, enhancing the autocomplete feature's context awareness.
- Updated the `focused_text_context_verbose` function to allow terminal applications to bypass text role checks when the input value is not empty, improving user experience in terminal environments.
- This change aims to provide better support for terminal-based applications in the autocomplete system.
* Add terminal input context extraction and noise line detection
- Introduced functions to identify terminal-like buffers and filter out noise lines in terminal input, enhancing the autocomplete engine's context awareness.
- Updated the `focused_text_context` logic to utilize the new terminal context extraction, improving the handling of text in terminal applications.
- Enhanced the `focused_text_context_verbose` function to better retrieve static text values from UI elements, ensuring accurate context representation in terminal environments.
- These changes aim to improve user experience and functionality for terminal-based applications in the autocomplete system.
* Enhance autocomplete engine state management and error handling
- Added new fields `last_escape_down` and `last_overlay_signature` to `EngineState` for improved state tracking.
- Implemented `try_reject_via_escape` method to handle escape key interactions, allowing users to reject suggestions more intuitively.
- Updated error handling to display notifications for different states (ready, accepted, rejected, error) using `show_overflow_badge`.
- Refactored state updates to ensure consistent management of suggestion and phase transitions, enhancing overall user experience in the autocomplete system.
* Implement periodic status logging in autocomplete service
- Added a polling mechanism to log the status of the autocomplete engine at regular intervals.
- Enhanced logging to capture changes in phase, application name, suggestions, and errors, improving visibility during service execution.
- Refactored the `autocomplete_start_cli` function to integrate the new logging functionality, ensuring a more informative user experience while the service is running.
* Refactor memory dispatch logic and remove local memory implementation
- Updated the memory dispatch functions to utilize the new `memory_rpc` module, enhancing the handling of memory operations such as document management and namespace queries.
- Removed the local memory implementation, including database interactions and related functions, to streamline the codebase and improve maintainability.
- Introduced new RPC calls for document operations (put, list, delete) and context queries, ensuring a more efficient and consistent approach to memory management.
- This refactor aims to enhance the overall architecture and performance of the memory handling system.
* Remove macOS-specific overflow badge functionality and related helper functions
- Deleted the `show_overflow_badge` and `escape_applescript_string` functions, which were specific to macOS, to streamline the codebase.
- Refactored the `show_overflow_badge` function to provide a no-op implementation for non-macOS platforms, enhancing cross-platform compatibility.
- This change simplifies the autocomplete module by removing platform-dependent code, improving maintainability and clarity.
* Enhance text application logic in autocomplete module
- Updated the `apply_text_to_focused_field` function to improve interaction with focused UI elements on macOS.
- The new implementation retrieves the current value of the focused element and appends the provided text, ensuring better handling of text input.
- Enhanced error reporting to include stderr output when applying suggestions fails, improving debugging capabilities.
- These changes aim to provide a more robust and user-friendly experience in the autocomplete functionality.
* Refactor Landlock feature configuration for Linux support
- Moved the `landlock` and `rppal` dependencies under a conditional target configuration for Linux in both `Cargo.toml` files, ensuring they are only included when building for Linux.
- Updated the `landlock.rs` module to check for both the `sandbox-landlock` feature and the Linux target OS, improving the conditional compilation logic.
- This change enhances cross-platform compatibility and ensures that Landlock functionality is only available on supported systems.
* Update dependencies and enhance Tauri integration
- Updated the Tauri dependency in `Cargo.toml` to include the `tray-icon` feature, enabling system tray support.
- Introduced a new `rust-toolchain.toml` file to pin the Rust version to 1.93.0, ensuring compatibility with the matrix-sdk.
- Modified GitHub workflows to use the specified Rust version from `rust-toolchain.toml` instead of the stable version, improving build consistency.
- Refactored Tauri commands to utilize a new `wrapCommandResult` function for better response handling.
- Added a new `tray` module in `openhuman` for managing system tray functionality, enhancing the desktop experience.
- Updated various command implementations to streamline service management and improve error handling.
* Refactor core process handling and enhance encryption features
- Removed the `openhuman` dependency from `Cargo.lock` and `Cargo.toml`, streamlining the project structure.
- Updated the core process handling to fall back to a child process when in-process execution is unavailable, improving error handling and logging.
- Introduced new encryption commands (`ai_init_encryption`, `ai_encrypt`, `ai_decrypt`) to enhance security features, utilizing AES-GCM for data protection.
- Added a new `tray` module for managing system tray functionality, improving user experience on desktop platforms.
- Refactored various command implementations to improve service management and error handling, ensuring a more robust application architecture.
* Remove unused modules and refactor daemon host configuration
- Deleted the `daemon_host_config`, `memory`, `models`, `openhuman_daemon`, `tray`, `chat`, `conscious_loop`, and `runtime` modules to streamline the codebase.
- Refactored the daemon host configuration logic into the `openhuman` module, consolidating related functionality.
- Updated command implementations to utilize the new configuration methods, ensuring consistent handling of daemon host settings.
- This cleanup enhances maintainability and reduces complexity in the project structure.
* Refactor memory management and update Tauri dependencies
- Removed the `tray-icon` feature from the Tauri dependency in `Cargo.toml` to streamline the configuration.
- Deleted the `core:tray:default` capability from the default capabilities JSON, simplifying the capabilities structure.
- Refactored memory handling in tests to utilize `UnifiedMemory` instead of `SqliteMemory`, enhancing consistency across memory operations.
- Updated memory store, recall, and forget functionalities to support a global namespace, improving memory management and retrieval processes.
- Enhanced error handling and logging in memory operations to provide clearer feedback during execution.
* Remove AI encryption commands and related functionality
- Deleted the `ai_init_encryption`, `ai_encrypt`, and `ai_decrypt` functions to streamline the codebase and remove unused features.
- Updated the command registration in the `run` function to reflect the removal of these encryption commands, enhancing maintainability and reducing complexity.
* Add OAuth integration token handling and channel connection management
- Introduced functions to fetch and encrypt integration tokens using OAuth, enhancing security for token management.
- Updated the channel connections API to support OAuth integration, including listing, connecting, and disconnecting channels.
- Implemented checks for supported channels and authentication modes, improving the robustness of channel connection handling.
- Enhanced error handling for integration token retrieval to ensure required fields are present before proceeding.
* Refactor project structure and update documentation
- Renamed the project from "Outsourced" to "OpenHuman" and revised the project summary to reflect its focus on AI-powered assistance for crypto communities.
- Restructured the repository layout, detailing the purpose of each directory and its contents.
- Updated runtime scope to clarify platform support and Tauri's desktop-only focus.
- Enhanced documentation across various files, including architecture, services, and routing, to improve clarity and usability for contributors.
- Removed outdated sections and streamlined commands for development and production builds, ensuring consistency in the documentation.
* Implement REPL session management and multimodal support
- Introduced a new REPL session management system, allowing for session-specific interactions with agents.
- Added functions for starting, chatting, resetting, and ending REPL sessions, enhancing user experience and control.
- Implemented multimodal message handling, enabling the processing of images alongside text in user messages.
- Updated the project structure to include new modules for identity and multimodal functionalities, improving organization and maintainability.
- Enhanced error handling and logging for session operations, providing clearer feedback during execution.
* Refactor memory store implementation and introduce unified memory management
- Removed the legacy memory store implementation and replaced it with a new unified memory management system.
- Introduced a `MemoryClient` for handling document storage, retrieval, and namespace management.
- Added support for key-value storage and graph data structures within the unified memory framework.
- Enhanced the `UnifiedMemory` struct with methods for document upsertion, querying, and namespace operations.
- Updated the project structure to include new modules for memory types, factories, and traits, improving organization and maintainability.
- Improved error handling and logging across memory operations for clearer feedback during execution.
* Implement QuickJS skill instance management
- Removed the previous QjsSkillInstance implementation and replaced it with a new modular structure.
- Introduced separate modules for event loop management, instance handling, JavaScript handlers, and utility functions.
- Enhanced the event loop to efficiently manage QuickJS runtime tasks, including timer callbacks and message processing.
- Added support for asynchronous tool calls and lifecycle management within the QuickJS context.
- Improved error handling and logging throughout the new implementation for better debugging and user feedback.
- Updated documentation to reflect the new structure and functionality of the QuickJS skill instance.
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Summary
Problem
Solution
Testing
yarn -s compilecargo check --manifest-path src-tauri/Cargo.tomlImpact
Breaking Changes
Related