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382038fcc8596afd6dcaf4ae94de5419f4a0548d
27
Commits
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 github-actions[bot]
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382038fcc8 | chore(release): v0.52.0 | ||
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4639913ddf |
fix(release): sync root Cargo version in release pipeline (#449) (#461)
* fix(release): sync root Cargo version in bump flow (#449) Add root Cargo.toml to release version bumping and introduce a version-sync verifier for all four release version sources. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * ci(release): enforce version sync before tagging (#449) Run release version consistency verification and include root Cargo.toml in the release commit staging list. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore(release): add local dmg preflight version dry-run (#449) Add a local release dry-run script that builds frontend + release sidecar, bundles app/dmg, and validates packaged core.version. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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Mega MindandGitHub
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371bcd34ea |
Feat/chat issue (#441)
* feat: display app version in settings panel * fix(onboarding): auto-refresh accessibility state after grant (#351) * style(onboarding): apply formatter for issue #351 fix * fix(onboarding): ESLint + typed mock for ScreenPermissionsStep; clear flag in handler Consolidate tauriCommands imports and drop redundant mock cast. Handle granted accessibility in focus/visibility callback instead of a follow-up effect. Made-with: Cursor * feat(env): add support for custom dotenv path and update dependencies - Introduced an optional environment variable `OPENHUMAN_DOTENV_PATH` to specify a custom path for dotenv files, enhancing configuration flexibility. - Updated `Cargo.toml` to include the `dotenvy` dependency for improved dotenv file handling. - Enhanced the `.env.example` file with a new comment for the custom dotenv path. - Added data-testid attributes and button types in `SkillDebugModal` and `Skills` components for better testability. - Created new tests for Gmail and Notion third-party skills to ensure proper functionality of sync and debug tools. - Added documentation for memory sync functions to clarify usage patterns and function details. * fix: address CodeRabbit review on PR #441 - Dotenv: treat empty OPENHUMAN_DOTENV_PATH as unset; propagate from_path errors - Document OPENHUMAN_DOTENV_PATH parent-env requirement in .env.example - Memory docs: MD040 fence language; clarify skill namespace vs integration id - QuickJS bootstrap: modern helpers, generic platform.notify log, template URLs - Skills UI: type=button on close/settings; async waitFor in sync tests - Gmail OAuth e2e: workspace env matches MemoryClient; env/engine drop guards; redact secrets from logs - Add replace_global_engine for test teardown Made-with: Cursor |
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Steven EnamakelandGitHub
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3851d1ef67 |
fix(voice): anti-hallucination, clipboard paste, Fn key reliability (#380)
* fix(dictation): update hotkey default value and documentation - Changed the default global hotkey for dictation from "CmdOrCtrl+Shift+D" to "Fn" in both the configuration schema and the associated documentation. - Updated the hotkey parsing function to recognize "Fn" as a valid key, enhancing the flexibility of hotkey configurations. - Added a test case to ensure the "Fn" key can be parsed correctly, improving the robustness of the hotkey handling functionality. * fix(voice): update default activation mode and hotkey in configuration - Changed the default activation mode for voice and dictation from "tap" to "push" in the respective configuration schemas. - Updated the default hotkey for voice commands from "ctrl+shift+space" to "Fn" across various modules and documentation. - Adjusted related tests to reflect the new defaults, ensuring consistency in behavior and expectations. * feat(voice): integrate embedded global voice server startup - Added a new asynchronous function `start_if_enabled` to the voice server module, which initializes the embedded voice server based on configuration settings. - Updated the server run logic to check if the voice server should auto-start, enhancing the startup process for the core application. - Integrated the new server startup function into the main server run logic, ensuring the voice server is launched if enabled in the configuration. * feat(voice): add VoicePanel for managing voice server settings - Introduced a new `VoicePanel` component to handle voice server configurations, including startup options, hotkeys, and runtime controls. - Updated routing in the settings page to include the new voice settings section. - Enhanced the `useSettingsNavigation` hook to support navigation to the voice settings. - Added tests for the `VoicePanel` to ensure functionality and reliability of the voice server management features. * refactor(dictation): update documentation and improve component initialization - Revised comments in `DictationHotkeyManager` to clarify the component's mounting process within the app tree. - Removed unused imports and unnecessary state management from `ServiceBlockingGate`, streamlining the component's logic. - Updated tests for `ServiceBlockingGate` to reflect changes in behavior, ensuring accurate rendering of child components based on service status. - Enhanced the `Cargo.lock` file by updating dependencies to their latest versions for improved stability and security. * fix(voice): update default skip_cleanup setting and enhance VoicePanel options - Changed the default value of `skip_cleanup` in the voice server configuration from `false` to `true` to improve transcription handling. - Reordered options in the `VoicePanel` component to ensure "Natural cleanup" is displayed alongside "Verbatim transcription" for better user clarity. - Updated tests to reflect the new default settings and ensure proper functionality of the VoicePanel component. * feat(window): add window management commands for Tauri application - Introduced a new module `window.ts` containing functions for managing window visibility and state in a Tauri application. - Implemented commands to show, hide, toggle visibility, minimize, maximize, close, and set the title of the main window. - Added checks to ensure commands are only executed in a Tauri environment, enhancing compatibility with web contexts. * feat(tauriCommands): add comprehensive Tauri command modules - Introduced multiple new modules for Tauri commands, including `accessibility`, `autocomplete`, `config`, `conscious`, `core`, `cron`, `hardware`, `localAi`, and `window`. - Each module contains functions for managing specific functionalities such as accessibility permissions, autocomplete suggestions, configuration settings, and hardware interactions. - Implemented checks to ensure commands are executed only in a Tauri environment, enhancing compatibility and reliability. - This addition significantly expands the command capabilities of the Tauri application, providing a robust framework for future development. * feat(voice): enhance audio transcription with initial prompt support - Added functionality to transcribe audio with an optional initial prompt, allowing for vocabulary bias and improved conversational continuity. - Updated the `transcribe_pcm_f32` and `transcribe_wav_file` functions to accept an `initial_prompt` parameter, enhancing recognition of specific vocabulary. - Implemented peak RMS energy tracking during audio recording for silence detection, ensuring recordings below a defined threshold are skipped. - Enhanced the voice server configuration to include a silence threshold and custom dictionary for better transcription context. - Introduced methods to build and manage recent transcripts for improved continuity across consecutive recordings. - Updated tests to validate new features and ensure proper functionality of the transcription process. * feat(voice): enhance VoiceServerConfig with silence detection and custom dictionary - Added `silence_threshold` to the `VoiceServerConfig` for improved silence detection, allowing recordings with low RMS energy to be skipped. - Introduced `custom_dictionary` to bias transcription towards specific vocabulary, enhancing recognition of names and technical terms. - Updated the `voice_transcribe` and `voice_transcribe_bytes` functions to utilize the new `initial_prompt` parameter for better context during transcription. - Adjusted the `transcribe_pcm_i16` function to accept additional parameters for improved flexibility in handling audio input. * feat(voice): add silence threshold and custom dictionary features to VoicePanel - Implemented a new input for setting the silence threshold, allowing recordings with low RMS energy to be skipped. - Added functionality for a custom dictionary, enabling users to add specific vocabulary words to improve transcription accuracy. - Updated the VoiceServerSettings interface and related functions to support the new features, ensuring seamless integration with existing settings. - Enhanced the UI in the VoicePanel to facilitate user interaction with the new settings. * feat(voice): propagate silence threshold and custom dictionary to voice server command - Added `silence_threshold` and `custom_dictionary` parameters to the `run_voice_server_command` function, ensuring these settings are utilized during voice server operations. - Enhanced integration with the existing voice server configuration to support improved transcription accuracy and silence detection. * fix(tauriCommands): update import paths for coreRpcClient - Adjusted import paths for `callCoreRpc` in multiple Tauri command modules to ensure correct referencing from the updated directory structure. - This change enhances module organization and maintains consistency across the codebase. * feat(dependencies): update Cargo.lock and Cargo.toml for new packages and versions - Added new dependencies including `arboard`, `fax`, `fax_derive`, `gethostname`, `half`, `quick-error`, `tiff`, and `x11rb` to enhance functionality and support for clipboard operations, transcription improvements, and system interactions. - Updated existing dependencies to their latest versions for better performance and compatibility. - Modified `VoicePanel` to utilize the updated settings and ensure proper handling of voice server configurations. - Enhanced the text input mechanism to use clipboard-paste for improved reliability in text insertion. * fix(voice): update skip_cleanup default value and enhance logging - Changed the default value of `skip_cleanup` in `VoiceServerConfig` from `true` to `false` to align with expected behavior and improve transcription handling. - Added detailed logging in the transcription cleanup process to provide better insights into the LLM state and cleanup decisions. - Removed unused functions related to unreliable key releases in hotkey handling to simplify the codebase. - Updated tests to reflect the new default settings for `skip_cleanup` and ensure proper functionality across components. * style: apply linter formatting fixes * fix(voice): remove unused warn import in hotkey module * test(voice): add silence threshold and custom dictionary to VoicePanel tests - Updated tests for the VoicePanel component to include new parameters: `silence_threshold` and `custom_dictionary`. - Ensured that the tests reflect the latest configuration settings for improved transcription accuracy and functionality. |
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11f718d8bc |
feat(voice): standalone voice dictation server with hotkey support (#368)
* feat: add standalone voice dictation server with hotkey support - Introduced a new `voice` subcommand to the CLI for running a standalone voice dictation server that listens for a hotkey, records audio, transcribes it using Whisper, and inserts the result into the active text field. - Implemented configuration options for the voice server, including hotkey combination, activation mode (tap or push), and an option to skip LLM post-processing. - Added audio capture functionality using the `cpal` crate and integrated hotkey listening with the `rdev` crate for global key event handling. - Enhanced the configuration schema to include voice server settings and updated the main configuration structure accordingly. - Updated relevant modules and tests to ensure consistent behavior and functionality across the application. This feature enhances user interaction by allowing voice dictation directly into any active text field, improving accessibility and usability. * feat: add voice dictation server with hotkey support - Introduced a standalone voice dictation server that listens for a configurable hotkey to start recording audio, transcribes it using whisper, and inserts the transcribed text into the active text field. - Added CLI support for the `voice` command, allowing users to manage the voice server's configuration, including hotkey and activation mode settings. - Implemented configuration structures for the voice server, including options for automatic start, hotkey combination, activation mode, and cleanup behavior. - Enhanced audio capture functionality using the `cpal` library for microphone input and integrated text insertion using the `enigo` library for simulating keyboard input. - Updated relevant modules and schemas to support the new voice server features, ensuring a cohesive integration within the OpenHuman platform. * refactor: streamline voice server command and enhance audio capture functionality - Updated the `run_voice_server_command` function to initialize the configuration with environment overrides instead of loading from a file, improving performance and flexibility. - Refactored the audio capture logic in `start_recording` to enhance thread management and error handling, ensuring a more robust audio stream setup. - Improved the handling of audio stream creation and playback, ensuring that all cpal objects are managed on the same thread as required, enhancing stability during recording operations. * fix: remove unused import in voice server module - Eliminated the `HotkeyListenerHandle` import from the `server.rs` file, streamlining the code and improving clarity by removing unnecessary dependencies. * feat(voice): auto-enable LLM cleanup when local model is ready The postprocessor now checks the local LLM state and automatically enables transcription cleanup when the model is downloaded and ready, even if not explicitly configured. Falls back gracefully to raw text when the LLM is unavailable. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt + prettier formatting Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(voice): dictation config, hotkey lifecycle, and WebSocket streaming (#332) Add the foundational infrastructure for voice dictation (EPIC #332): **Rust core:** - New `DictationConfig` schema with serde defaults and env var overrides (enabled, hotkey, activation_mode, llm_refinement, streaming, interval) - RPC controllers: `config_get_dictation_settings` / `config_update_dictation_settings` - WebSocket endpoint `/ws/dictation` for streaming PCM16 transcription with periodic partial inference and final LLM refinement - Microphone permission declaration (`NSMicrophoneUsageDescription`) in Tauri macOS bundle config **Frontend:** - `useDictationHotkey` hook: fetches config from core RPC, auto-registers global hotkey, listens for `dictation://toggle` events - `DictationHotkeyManager` headless component mounted in App.tsx - Fix voice RPC response type mismatch: voice handlers return flat results (no `{result, logs}` wrapper), so remove incorrect `CommandResponse<T>` wrapping from `openhumanVoiceStatus`, `openhumanVoiceTranscribe`, `openhumanVoiceTranscribeBytes`, and `openhumanVoiceTts` Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tauri): remove invalid infoPlist config that breaks tauri dev The `infoPlist` field in tauri.conf.json expects a string path, not an inline object. Remove it for now — microphone permission will be added via a proper Info.plist supplement in the production build pipeline. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * style: apply Prettier formatting to dictation files Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * format files * feat(dictation): integrate dictation listener and event broadcasting - Added a global dictation hotkey listener that activates based on configuration. - Implemented a web channel bridge to handle dictation events and broadcast them to connected clients. - Updated the voice module to include the new dictation listener functionality. This enhances the voice dictation capabilities by ensuring real-time event handling and client communication. * update code * format * feat(voice): enhance voice server configuration and functionality - Updated `Cargo.toml` to mark voice-related dependencies as optional. - Introduced `VoiceActivationMode` enum for better control over voice server activation. - Refactored voice server command handling and dictation event broadcasting to support new features. - Added conditional compilation for voice features across various modules, ensuring they are only included when enabled. This commit improves the modularity and configurability of the voice server, allowing for more flexible integration and usage. * refactor: clean up whitespace and formatting in core and voice modules - Removed unnecessary blank lines in `cli.rs`, `jsonrpc.rs`, `schemas.rs`, and `socketio.rs` to improve code readability. - Adjusted import order in `mod.rs` for better organization. This commit enhances the overall code quality by ensuring consistent formatting across multiple files. * chore: update Dockerfile and test workflow to install additional system dependencies - Added installation of system dependencies (cmake, ALSA, X11) in the Dockerfile for improved build support. - Updated the GitHub Actions workflow to reflect the new dependencies, ensuring consistent environment setup for testing. This commit enhances the build environment by including necessary libraries for audio and GUI support. * format * fix claude * format --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: oxoxDev <nikhil@tinyhumans.ai> |
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Steven EnamakelandGitHub
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ef708bdd20 |
refactor(core): move app state ownership into the Rust core (#320)
* refactor(core): integrate CoreStateProvider and streamline state management - Replaced UserProvider with CoreStateProvider in App component to centralize state management. - Updated various components to utilize the new CoreStateProvider for accessing session tokens and user data. - Refactored hooks and components to eliminate direct Redux store dependencies, enhancing modularity and maintainability. - Introduced a new core state management structure to improve the handling of user authentication and onboarding states. This refactor aims to simplify state access across the application and improve overall code clarity. * fix: restore polyfills import and clean up component imports - Reintroduced the import of polyfills in main.tsx to ensure compatibility. - Adjusted import statements in PrivacyPanel and SocketProvider for consistency. - Simplified conditional expressions in TeamInvitesPanel and TeamMembersPanel for better readability. - Refactored CoreStateProvider and store.ts to streamline state initialization. - Enhanced formatting in various files for improved code clarity and maintainability. * refactor(tests): streamline onboarding and protected route tests - Updated OnboardingOverlay tests to utilize mock state management and simplify assertions. - Refactored ProtectedRoute tests to improve readability and ensure consistent use of mock state. - Enhanced teamApi tests to replace direct API calls with core RPC method calls, improving test isolation and clarity. - Adjusted socketSelectors tests to utilize a centralized core state snapshot for better state management during tests. * refactor(onboarding): simplify onboarding state management and improve loading logic - Removed unnecessary local state for onboarding completion in OnboardingOverlay, directly utilizing snapshot data. - Enhanced loading logic to prevent unnecessary renders and improve user experience during onboarding. - Updated PrivacyPanel to handle analytics consent persistence with error handling. - Refactored TeamManagementPanel and TeamPanel to improve team data fetching logic and loading states. - Streamlined CoreStateProvider to manage session token synchronization and state updates more effectively. * chore(deps): update tempfile dependency and refactor app state management - Added `tempfile` dependency to Cargo.toml for improved temporary file handling. - Refactored app state loading and saving functions to enhance error handling and ensure data integrity. - Introduced quarantine mechanism for corrupted app state files to prevent application crashes. - Updated URL parsing logic to ensure proper formatting of API URLs. - Adjusted type definitions in schemas for better clarity and consistency. * refactor(tests): simplify mock state usage in onboarding and protected route tests - Consolidated mock state management in OnboardingOverlay and ProtectedRoute tests for improved readability. - Streamlined assertions by reducing unnecessary lines in test setups. - Enhanced consistency in mock return values across tests to ensure clarity and maintainability. * refactor(tests): enhance PublicRoute tests with mock state and routing - Updated PublicRoute tests to utilize MemoryRouter for improved routing simulation. - Simplified mock state management by integrating `useCoreState` for user authentication scenarios. - Streamlined test assertions and removed redundant preloaded state configurations for clarity and maintainability. * refactor(tests): streamline mock state usage in PublicRoute and Mnemonic tests - Simplified mock state management in PublicRoute and Mnemonic tests for improved readability. - Consolidated mock return values to reduce redundancy and enhance clarity in test setups. - Improved consistency in the usage of `useCoreState` across test files. * Refactor billing components for improved readability - Cleaned up import statements in BillingPanel.tsx for better organization. - Enhanced formatting of billing plan descriptions in billingHelpers.ts for consistency. - Improved readability of conditional checks in BillingPanel component. * Refactor API endpoint handling for clarity and consistency - Updated references from `/settings` to `/auth/me` in various modules to standardize user authentication flows. - Renamed `parse_settings_response_json` to `parse_api_response_json` for improved clarity in response handling. - Adjusted user ID extraction functions to reflect the new endpoint structure, enhancing maintainability across the codebase. - Updated test cases to align with the new endpoint naming conventions, ensuring consistency in API interactions. |
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sanil-23andGitHub
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d73ccda13d |
fix: patch whisper-rs-sys for Windows MSVC static CRT (/MT) (#276)
The upstream whisper-rs-sys builds whisper.cpp via CMake which defaults to /MD (dynamic CRT), but Rust and all other C deps use /MT (static CRT). This causes LNK2038/LNK1169 linker errors on Windows. Patch whisper-rs-sys from tinyhumansai/whisper-rs-sys fork which adds config.static_crt(true) and overrides all per-config CMake flags (Debug/Release/MinSizeRel/RelWithDebInfo) from /MD to /MT. Closes #273 |
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2545ae374a |
refactor: extract accessibility middleware module (#184)
* feat(autocomplete): add target_role to EngineState for improved context validation - Introduced a new field `target_role` in `EngineState` to store the AXRole of the text element when suggestions are generated. - Updated the `AutocompleteEngine` to validate the focused element against the expected app and role before applying suggestions. - Enhanced the `apply_text_to_focused_field` function to include role validation, ensuring better accuracy in text insertion. - Improved the handling of suggestion context and error states during autocomplete operations. This update enhances the reliability of the autocomplete feature by ensuring that suggestions are applied only when the correct context is maintained. * fix(package): update dev:app script to include core staging step - Modified the `dev:app` script in `package.json` to run `yarn core:stage` before executing `tauri dev`, ensuring that the core sidecar is properly staged during development. - This change enhances the development workflow by automating the staging process, reducing manual steps for developers. This update improves the reliability of the development environment setup. * feat(autocomplete): implement core autocomplete engine and supporting modules - Introduced a new `AutocompleteEngine` struct to manage the state and operations of the autocomplete feature, including starting, stopping, and refreshing suggestions. - Added `EngineState` to track the current status, phase, and context of the autocomplete process. - Implemented helper functions for managing focus and overlay notifications, enhancing user interaction with suggestions. - Created utility functions for terminal context extraction and text sanitization, improving the accuracy of suggestions. - Developed a comprehensive set of types and structures to support autocomplete operations, including suggestion handling and status reporting. This update lays the foundation for a robust autocomplete feature, enhancing user experience through improved context awareness and interaction. * refactor(autocomplete): remove unused functions and improve clipboard handling - Deleted the `normalize_ax_value` and `parse_ax_number` functions as they were not utilized in the codebase, streamlining the autocomplete module. - Enhanced the `clipboard_save` function to improve readability by formatting the string conversion of clipboard output, ensuring better handling of empty or "missing value" cases. This update simplifies the code and improves the overall maintainability of the autocomplete functionality. * refactor(autocomplete): remove unused functions and improve clipboard handling - Deleted the `normalize_ax_value` and `parse_ax_number` functions as they were not utilized in the codebase, streamlining the autocomplete module. - Enhanced the `clipboard_save` function to improve readability by formatting the string conversion of clipboard output, ensuring better handling of empty or "missing value" cases. This update cleans up the code and optimizes the clipboard handling logic for the autocomplete feature. * feat(autocomplete): enhance focus handling and text insertion methods - Implemented a unified Swift helper for querying focused text elements, improving performance and reliability on macOS. - Added fallback mechanisms to use osascript for focus queries when the helper is unavailable, ensuring consistent functionality. - Refactored text insertion logic to prioritize the unified helper, with osascript and AXValue as fallback options, enhancing user experience during text application. - Cleaned up and organized focus-related functions, improving code readability and maintainability. This update significantly enhances the autocomplete feature's ability to interact with focused text elements, providing a more robust and responsive user experience. * feat(accessibility): introduce comprehensive accessibility module for macOS - Added a new `accessibility` module that centralizes focus queries, screen capture, key state detection, and permission management for macOS. - Implemented a unified Swift helper process to enhance performance and reliability in querying focused text elements and managing overlays. - Introduced various functionalities including screen capture, text insertion into focused fields, and permission detection for accessibility features. - Enhanced user experience by providing robust methods for interacting with accessibility APIs, ensuring consistent behavior across different contexts. This update significantly improves the accessibility capabilities of the application, providing a more responsive and user-friendly interface for macOS users. * feat(accessibility): introduce screen capture and focus query modules - Added a new `accessibility` module to centralize platform-specific accessibility functionalities, including screen capture and focus queries. - Implemented `capture.rs` for screen capture using platform-native tools, supporting both windowed and fullscreen modes. - Developed `focus.rs` to handle accessibility focus queries, utilizing a unified Swift helper for improved performance on macOS. - Introduced helper functions for managing overlays and permissions, enhancing user interaction and accessibility features. This update significantly enhances the application's accessibility capabilities, providing robust tools for screen capture and focus management. * refactor(accessibility): remove unused accessibility functions and streamline modules - Deleted unused functions from the accessibility module, including `focused_text_context`, `is_text_role`, `normalize_ax_value`, and `parse_ax_number`, to enhance code clarity and maintainability. - Updated module documentation to reflect the current structure and purpose, ensuring consistency across the accessibility and screen intelligence modules. This update simplifies the codebase and improves the overall organization of accessibility-related functionalities. * feat(image-processing): implement image compression and resizing for vision LLM - Added a new module `image_processing` to handle the compression and resizing of screenshots before sending them to the vision LLM. - Implemented the `compress_screenshot` function, which decodes PNG data-URIs, resizes images to fit within a specified maximum dimension, and re-encodes them as JPEGs. - Updated the `AccessibilityEngine` to utilize the new image processing functionality, ensuring that images sent for analysis are optimized for size and quality. - Introduced new dependencies in `Cargo.toml` for image handling and compression. This update enhances the efficiency of image processing in the application, reducing token usage and improving inference speed. * feat(tests): add end-to-end tests for screen intelligence vision pipeline - Introduced a new test file `screen_intelligence_vision_e2e.rs` to validate the complete flow of the screen intelligence vision pipeline. - Implemented tests that cover generating images, compressing and resizing them, simulating LLM responses, and persisting results to memory. - Utilized temporary directories and environment variable management to ensure test isolation and reliability. - Enhanced the testing framework by including helper functions for image creation and mock responses, improving the overall test coverage and robustness. This update significantly strengthens the testing capabilities of the screen intelligence module, ensuring that the entire pipeline functions correctly under various scenarios. * style: apply cargo fmt and import ordering fixes Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(accessibility): add non-macOS stub for validate_focused_target The function was gated with #[cfg(target_os = "macos")] but exported unconditionally from mod.rs, causing compilation failure on non-macOS. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(accessibility): enhance screen capture and error handling - Updated the screen capture functionality to include a timestamp helper in the documentation. - Improved error handling when reading resized screenshots, ensuring temporary files are removed on failure. - Added logging for raw errors returned by the helper in the focus context, providing better debugging information. - Refactored clipboard handling in the paste functionality to preserve multi-line text, enhancing usability. - Introduced a constant for terminal application names to simplify terminal detection logic. This update improves the robustness and clarity of the accessibility module, enhancing both screen capture and focus handling capabilities. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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cf344facf9 |
feat(voice): dedicated voice assistance module for STT/TTS (#178)
* feat(voice): add dedicated voice assistance module for STT/TTS Extracts speech-to-text (whisper.cpp) and text-to-speech (piper) into a dedicated `src/openhuman/voice/` domain module with its own RPC namespace (`openhuman.voice_*`). Adds proactive availability checking via `voice_status` so the UI can show clear errors when binaries/models are missing instead of failing silently at transcription time. - New module: voice/types.rs, voice/ops.rs, voice/schemas.rs, voice/mod.rs - 4 RPC endpoints: voice_status, voice_transcribe, voice_transcribe_bytes, voice_tts - 21 unit tests + 1 integration test (json_rpc_e2e) - Frontend updated to use voice_* endpoints with status check on mode switch Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: fix cargo fmt in voice/ops.rs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test(e2e): add voice mode integration spec Tests switching to voice input mode, verifying status check fires, recording button renders, and switching back to text mode restores text input. Also checks reply mode toggle visibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove unused waitForText import in voice-mode e2e spec Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(voice): in-process whisper engine and LLM post-processing - Add whisper-rs (0.16) for in-process whisper.cpp inference, eliminating cold-start latency from subprocess-per-call (~1-3s) to warm inference (~50ms). Model is loaded once during bootstrap and reused across calls. Falls back to whisper-cli subprocess if in-process loading fails. - Add LLM post-processing layer that passes raw transcription through Ollama to fix grammar, punctuation, and filler words. Accepts optional conversation context to disambiguate names and technical terms. Gracefully degrades to raw whisper output if Ollama is unavailable. - Update voice RPC endpoints with new optional params (context, skip_cleanup) and return both cleaned text and raw_text. - Update frontend to pass conversation history as context for voice transcription cleanup, and update TypeScript interfaces to match. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt formatting fixes Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(build): make whisper-rs optional behind `whisper` feature flag The whisper-rs crate requires cmake to compile whisper.cpp from source, which is not available in the CI environment. Move it behind an optional cargo feature so CI builds succeed without cmake. The whisper_engine module now compiles as a no-op stub when the feature is disabled, returning "whisper feature not compiled in" errors. Desktop builds can opt in with `--features whisper`. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: cargo fmt whisper_engine.rs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): make whisper-rs mandatory and install cmake in CI Revert whisper-rs from optional to mandatory dependency. Add cmake installation to all CI workflows (build, typecheck, test, release) and the CI Docker image so whisper-rs can compile whisper.cpp from source. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: cargo fmt whisper_engine.rs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address code review findings across voice module - whisper_engine: validate WAV sample rate (must be 16kHz) and channel count (1 or 2) before feeding audio to whisper - speech: offload load_engine and transcribe_in_process to tokio::task::spawn_blocking to avoid blocking the Tokio runtime - ops: use RAII guard for WHISPER_BIN env var in test to prevent races and ensure restore on panic; log temp file cleanup failures instead of silently ignoring; sanitize paths in debug logs to basenames only - postprocess: add test for disabled cleanup config returning raw text - voice-mode.spec: assert failure when neither voice CTA nor unavailable message appears; make reply mode test runnable in isolation with auth/nav setup Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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c5e5ae170c |
ci: speed up GitHub Actions builds (~14m → ~3-5m warm) (#136)
* chore: add CI profile for faster compilation in Cargo.toml files - Introduced a new `[profile.ci]` section in both root and Tauri Cargo.toml files to optimize build settings for continuous integration. - Adjusted compilation parameters to prioritize speed over runtime performance, including reduced optimization level and enabled code generation units. * refactor(tests): update agent test setup to return temporary directory - Modified the `build_agent_with` function calls in the agent tests to return a temporary directory alongside the agent instance, improving resource management during tests. - Ensured consistency in test setup across multiple test functions. * chore: update .gitignore to include fastembed_cache - Added 'workflow' and '.fastembed_cache' to the .gitignore file to prevent unnecessary files from being tracked in the repository. * test: enhance dispatch routing tests with panic handling Updated the `dispatch_routes_memory_doc_ingest` test to use `AssertUnwindSafe` and `catch_unwind` for better handling of potential panics during execution. This ensures that the test verifies route existence even if the handler encounters a panic, improving robustness against shared state issues in concurrent tests. * ci: speed up builds with rust-cache, sccache, mold linker, and CI profile - Replace manual Cargo registry cache with Swatinem/rust-cache@v2 (caches target/ directories for both core and Tauri crates) - Add mozilla-actions/sccache for cross-branch compilation caching - Install mold linker on Linux for faster linking - Use --profile ci for sidecar build (opt-level 1, codegen-units 16) - Override release profile env vars for Tauri build with CI-tuned settings - Add --bundles none to CI build (skip unused deb/appimage packaging) - Restrict push triggers to main branch only (PRs already cover feature branches, preventing duplicate runs) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): unset RUSTC_WRAPPER for cargo fmt to avoid sccache errors The sccache-action sets RUSTC_WRAPPER globally for the job. cargo fmt invokes rustc through sccache which fails if the GHA cache service is unavailable. Clear RUSTC_WRAPPER for fmt steps and remove redundant per-step env overrides (the action already sets them job-wide). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: implement Default trait for various structs and enums - Added Default implementations for ConnectionStatus, AgentBuilder, NativeRuntime, AutocompleteEngine, CliChannel, ActionTracker, SkillStatus, and ExtractionMode to streamline object initialization. - Simplified condition checks in several places by replacing map_or with is_some_and and is_none_or for better readability and performance. - Updated various instances of string handling in message sending to remove unnecessary conversions. This refactor enhances code clarity and consistency across the codebase. * style: clean up whitespace and improve code formatting - Removed unnecessary blank lines in several files to enhance code readability. - Simplified condition checks by consolidating method calls into single lines for better clarity. - Improved formatting in various functions to maintain consistency across the codebase. * fix(ci): use --bundles deb instead of unsupported none value Tauri CLI on this version doesn't support 'none' as a bundle type. Use 'deb' as the lightest single bundle to minimize packaging time. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(ci): add Dockerfile and CI workflows for building and pushing Docker images - Introduced a Dockerfile to set up a CI environment with necessary dependencies for Tauri, Rust, Node.js, and sccache. - Created a new workflow to build and push the CI Docker image to GitHub Container Registry on main branch pushes. - Updated existing workflows to utilize the new Docker image for building and testing, enhancing consistency and efficiency in CI processes. * chore(ci): update container image references in CI workflows - Removed unnecessary permissions for packages in build, test, and typecheck workflows. - Updated container image references to use a specific digest instead of the latest tag for improved stability and reproducibility in CI processes. * fix(ci): use correct amd64 Docker image digest Previous digest was from arm64 build (Mac). Rebuilt with --platform linux/amd64 for GitHub Actions runners. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): use tag instead of digest for Docker image reference GHCR doesn't support pulling OCI index manifests by digest reliably. Use the rust-1.93.0 tag which is pinned to a specific Rust version and resolves correctly on amd64 CI runners. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): rename Docker package to openhuman_ci Move from nested ghcr.io/tinyhumansai/openhuman/ci-runner to ghcr.io/tinyhumansai/openhuman_ci to avoid GHCR nested package manifest resolution issues. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): remove sccache env vars from container jobs sccache can't access the GHA cache API from inside a Docker container (missing ACTIONS_CACHE_URL/ACTIONS_RUNTIME_TOKEN). Swatinem/rust-cache already caches target/ which provides the main build speedup. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: update installer smoke workflow to trigger on main branch pushes - Added a trigger for the installer smoke workflow to run on pushes to the main branch, enhancing CI coverage for mainline changes. * fix: enhance Sentry DSN retrieval logic - Updated the Sentry DSN retrieval process to include an additional fallback option using `option_env!`, ensuring that the DSN can be sourced from both environment variables and optional configuration, improving robustness in observability setup. * chore: add OPENHUMAN_SENTRY_DSN to release workflow and example secrets - Included the OPENHUMAN_SENTRY_DSN variable in the release workflow configuration to enhance observability setup. - Updated the ci-secrets.example.json file to include a placeholder for OPENHUMAN_SENTRY_DSN, providing clarity for developers on required environment variables. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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906b55b63e |
feat(observability): add Sentry error reporting to Rust core (#131)
* chore(workflows): comment out Windows smoke tests in installer and release workflows * feat(observability): integrate Sentry for error reporting and add configuration support - Added Sentry integration for error reporting in the application, initializing it in the main function. - Introduced a new environment variable `OPENHUMAN_SENTRY_DSN` to configure Sentry DSN. - Updated the observability configuration schema to include a field for Sentry DSN. - Enhanced logging to include Sentry event filtering based on log levels. - Implemented secret scrubbing to protect sensitive information in error reports. * feat(analytics): add support for anonymized analytics settings - Introduced new environment variable `OPENHUMAN_ANALYTICS_ENABLED` to enable or disable anonymized analytics and crash reports. - Updated the PrivacyPanel component to sync analytics consent with the core configuration. - Added new functions to handle analytics settings updates and retrieval in the Tauri backend. - Enhanced observability configuration to include analytics settings, defaulting to enabled. - Updated relevant schemas and handlers for analytics settings in the backend. * refactor(tauriCommands): improve formatting and structure of analytics settings function - Reformatted the `openhumanUpdateAnalyticsSettings` function for better readability by adjusting the parameter structure. - Enhanced the output formatting in the `handle_get_analytics_settings` function for improved clarity in the JSON response. * feat(analytics): sync analytics consent to core RPC and improve anonymization copy Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Al629176andGitHub
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e7a7f90fb6 |
Merge pull request #113 from sanil-23/issue-60-ingestion-relex
Add GLiNER relex ingestion pipeline (#60) |
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sanil jainandClaude Opus 4.6
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6964abbf5f |
Fix CI: remove openssl dep, skip ORT init in ingestion tests, fix fmt
- Replace openssl with aes-gcm for AES-256-GCM decryption in rest.rs - Remove openssl/openssl-sys from Cargo.toml and Cargo.lock - Use ci_safe_config() in ingestion tests to skip ORT model loading (avoids Mutex poisoned panic on CI without libonnxruntime) - Remove serial_test dependency (no longer needed) - Fix cargo fmt issue in rest.rs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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cyrus@tinyhumans.ai
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6f6cdc5631 | merge: resolve Cargo.lock conflict with main | ||
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cyrus@tinyhumans.ai
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2570195604 |
feat(local-ai): add guided model tier selection by device capability
Add tiered model presets (Low/Medium/High) with device-aware recommendations so users can pick a local AI model that fits their machine without editing raw JSON config. Detect RAM, CPU, GPU via sysinfo crate and recommend a tier. Persist selection to config.toml, with env var override and graceful degradation hints on bootstrap failure. - Rust: presets.rs (tier definitions, recommendation logic), device.rs (hardware detection), 3 new RPC methods, env var override, bootstrap hints - Frontend: tier selector UI in Settings > Local AI Model with device info, loading/error states, and "Advanced" toggle for existing controls - Tests: 7 Rust unit tests + comprehensive JSON-RPC E2E test - Also fixes pre-existing lint warning in SkillSetupWizard.tsx Closes #80 |
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sanil jain
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3bd86fa4d4 |
Fix ORT mutex poisoning: serialize ingestion tests
CI runner lacks libonnxruntime so ORT Session::builder panics inside its internal std::Mutex, poisoning it for the parallel test. Running them serially avoids the second test hitting the poisoned mutex. |
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sanil jain
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55cd5bef45 | Fix Linux ONNX runtime loading for embeddings | ||
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sanil jain
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16e5ac543c | Add core memory RPC surface | ||
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Steven Enamakel
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9b6b8d4442 |
refactor(build): rename core binary to openhuman-core and update workflows
- Changed the default binary name from "openhuman" to "openhuman-core" in Cargo.toml and related scripts. - Updated build and test workflows to reference the new binary name, ensuring consistency across the project. - Adjusted paths and executable checks in the codebase to accommodate the renamed binary, improving clarity and maintainability. |
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Steven Enamakel
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7c0c381196 |
chore: update dependencies and configuration for OpenSSL integration
- Added `openssl-sys` and `openssl-src` dependencies in Cargo.toml and Cargo.lock for enhanced cryptographic support. - Updated `tauri.conf.json` to streamline build targets by removing the updater option, simplifying the configuration. |
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fe277e1ef2 |
docs: REPL / interactive shell design (#92) (#96)
* docs: design document for openhuman REPL / interactive shell (#92) Design-first writeup covering problem statement, UX sketch with example sessions (skills + non-skill flows), architecture showing how the REPL reuses existing invoke_method/controller registry/RuntimeEngine without duplicating logic, safety rules for secret redaction, and phased implementation milestones (MVP → skills commands → script/batch mode). Closes #92 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: update dependencies and enhance onboarding logic - Updated Cargo.lock and Cargo.toml to include new dependencies: `clipboard-win`, `endian-type`, `error-code`, `fd-lock`, `home`, `nibble_vec`, `radix_trie`, `rustyline`, and `unicode-segmentation`. - Enhanced the OnboardingOverlay component to wait for user profile loading before checking onboarding status, improving user experience during onboarding. - Adjusted dependency versions and added features for `rustyline` in Cargo.toml. * feat(repl): implement interactive REPL for OpenHuman core - Added a new REPL module to provide an interactive shell for users, allowing command execution and evaluation. - Integrated REPL functionality into the CLI, enabling commands like `openhuman repl` and support for options such as `--eval` and `--batch`. - Enhanced command parsing and execution flow to maintain consistency with existing JSON-RPC server logic, ensuring no duplication of functionality. - Updated CLI help documentation to include REPL usage instructions. - Introduced Apple certificate import and code signing steps in the GitHub Actions workflow for macOS, enhancing sidecar security. This commit lays the groundwork for a more interactive user experience and strengthens the security of the sidecar binary. * refactor(repl): remove tool_warning_shown field from ReplState - Eliminated the `tool_warning_shown` boolean field from the `ReplState` struct, simplifying the state management within the REPL module. - Updated the constructor to reflect the removal of this field, ensuring consistency in the initialization of `ReplState`. * refactor(build): simplify Tauri build command in workflow - Removed unnecessary parameters from the Tauri build command in the GitHub Actions workflow, streamlining the build process. - Improved readability of the build configuration by eliminating redundant options. * chore(tauri): update build targets in tauri.conf.json - Changed the build targets from a single string to an array, specifying individual target formats for improved clarity and flexibility in the build process. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Steven EnamakelandGitHub
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14dc860a21 |
Skills runtime, onboarding, deep links, and core RPC refinements (#95)
* feat(telegram): implement Telegram channel and attachment handling - Added `TelegramChannel` struct for managing Telegram Bot API interactions, including user management and message handling. - Introduced attachment parsing with `TelegramAttachment` and `TelegramAttachmentKind` to support various media types. - Implemented functions for parsing attachment markers and validating URLs, enhancing message processing capabilities. - Created a new module structure for Telegram, including `attachments`, `channel`, and `text` for better organization and maintainability. * feat(skills): implement skills registry management and E2E testing - Added functionality for fetching, searching, installing, and uninstalling skills from a remote registry. - Introduced new modules for registry operations and types, enhancing the skills management system. - Implemented E2E tests for skills registry interactions, ensuring robust functionality and integration. - Updated documentation to reflect new skills registry features and usage instructions. * refactor(coreRpcClient): remove socket RPC handling and streamline HTTP request logging - Eliminated socket-based RPC handling to simplify the core RPC client logic. - Updated logging to use a unified debug logger for both HTTP requests and errors. - Improved error handling for HTTP responses to ensure clarity in error reporting. * feat(skills): enhance skill setup handling and improve error management - Updated SkillActionButton to directly open the setup modal for skills requiring OAuth, bypassing the QuickJS runtime. - Enhanced SkillSetupWizard to handle OAuth configuration more effectively, ensuring smoother transitions during skill setup. - Improved error handling during skill startup and setup processes, providing clearer logging for failures. - Refactored skills loading logic in the Skills page to prioritize registry-based skill fetching, with fallback to runtime discovery. - Added skill installation handling in the Skills page, allowing for better user feedback during installation processes. * feat(deep-link): enhance OAuth handling and streamline token management - Updated desktopDeepLinkListener to improve skill connection handling after OAuth completion. - Introduced setSkillSetupComplete action to mark skills as connected immediately post-OAuth. - Refactored token fetching logic to ensure encrypted tokens are stored correctly, enhancing error handling and reducing redundant checks. - Added new permissions in default.json for improved window management capabilities. * feat(skills): enhance skill management with global engine and runtime controllers - Added global engine management for skill runtime access, allowing RPC handlers to interact with the runtime engine. - Introduced new runtime controllers for skills, including start, stop, status, setup_start, list_tools, sync, and call_tool, enhancing skill lifecycle management. - Updated schemas to include new skill controller functionalities, improving the overall skills management system. - Enhanced documentation and comments for clarity on new features and usage. * refactor(skills): update global engine management and enhance documentation - Replaced OnceLock with RwLock for the global RuntimeEngine, allowing for better testability and flexibility in engine management. - Updated the global_engine and require_engine functions to return cloned Arc references, improving usability. - Enhanced documentation comments for clarity on the global engine's usage and behavior in production and testing scenarios. * chore(todos): update TODO list with removal of Tauri from Rust core - Added a new item to the TODO list indicating the need to remove Tauri from the OpenHuman Rust core, streamlining the project structure. * feat(onboarding): revamp onboarding steps and introduce local AI model consent - Replaced the PrivacyStep with a new ScreenPermissionsStep to handle accessibility permissions. - Added LocalAIStep for user consent on local AI model usage and download initiation. - Introduced SkillsStep and ToolsStep for selecting skills and enabling tools during onboarding. - Updated onboarding state management to include local model consent, download status, and enabled tools. - Enhanced the overall onboarding flow with new components and improved user experience. * feat(onboarding): enhance onboarding flow with new WelcomeStep and updated LocalAIStep - Introduced a new WelcomeStep to guide users through the onboarding process. - Updated LocalAIStep to clarify local AI model usage and consent, including improved messaging on privacy and resource impact. - Enhanced ScreenPermissionsStep to emphasize local processing of accessibility data. - Adjusted total steps in onboarding to reflect the addition of the WelcomeStep, improving user experience. * refactor(tray): remove tray integration and related functionalities - Deleted the tray module and its associated operations, streamlining the project structure. - Removed references to Tauri app handle in various components, transitioning to a memory client for skill data persistence. - Updated skill instances and event loops to eliminate dependencies on tray functionalities, enhancing modularity. - Improved documentation to reflect the removal of tray-related features and clarify the new architecture. * feat(onboarding): introduce OnboardingOverlay and enhance onboarding flow - Added OnboardingOverlay component to display the onboarding process as a full-screen overlay when the user is not onboarded. - Updated the Onboarding component to include a new MnemonicStep for recovery phrase management. - Enhanced onboarding state management to track workspace onboarding flags and user onboarding status. - Refactored AppRoutes to streamline routing and integrate the new onboarding flow. - Removed deprecated onboarding logic from previous steps, improving overall user experience. * refactor(sidebar): simplify hidden paths and update ProtectedRoute tests - Removed '/onboarding' from the hiddenPaths in MiniSidebar to streamline route visibility. - Updated ProtectedRoute tests to reflect changes in onboarding handling, ensuring children render correctly when authenticated. * chore: format, fix E2E lint, and onboarding step polish Made-with: Cursor * style(onboarding): update background color for onboarding steps - Changed background color from black/30 to stone-900 for improved visual consistency across LocalAIStep, MnemonicStep, ScreenPermissionsStep, SkillsStep, ToolsStep, and WelcomeStep components. - Enhanced overall aesthetics of the onboarding flow. * fix(tests): update variable naming and comment out unused JavaScript content - Renamed workspace variable to `_ws` to indicate it is unused in the `test_registry_cache_ttl_expired` test. - Commented out the `js_content` variable to prevent unused variable warnings in the test setup. * refactor(tests): streamline JSON-RPC test setup and remove unused backend URL handling - Updated the JSON-RPC end-to-end test to always use the in-process Axum mock for backend settings, ensuring consistent test behavior. - Removed the conditional logic for external backend URLs, simplifying the test setup. - Ensured proper cleanup of mock join handles after test execution. * refactor(runtime): update skill startup process to use core RPC - Replaced the direct call to `runtimeStartSkill` with a `callCoreRpc` method for starting skills, enhancing the integration with the core RPC system. - Updated comments to reflect the new implementation details. - Made minor adjustments to the schema organization in Rust for better clarity on runtime controllers. |
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Steven Enamakel
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5d865fa4e2 |
Update version to 0.49.17 across multiple files
- Bumped the version of the "openhuman" package in Cargo.lock and Cargo.toml to 0.49.17. - Updated the version in app/package.json and app/src-tauri/Cargo.toml to reflect the new release. - Adjusted the version in app/src-tauri/tauri.conf.json for consistency across the application. |
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Steven EnamakelandGitHub
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652bb6e2f9 |
Improve autocomplete UX (inline + external overlay), add serve mode, and add macOS ARM64 release workflow (#66)
* Update CLAUDE.md to clarify pull request workflow and enhance documentation - Added a note to emphasize the importance of opening pull requests against the upstream repository instead of a fork's default remote, ensuring better collaboration and code management. - Improved the overall clarity of the Git workflow section, contributing to a more streamlined development process. * Refactor REPL session handling and remove deprecated chat methods - Removed the `repl_session_chat` functionality from the schema and related files, streamlining the REPL session management. - Introduced a new `start_chat` method in the web channel provider for handling chat interactions, enhancing the chat system's architecture. - Updated socket handling to improve event emission with alias support, ensuring better communication across the application. - Enhanced error handling and logging for chat operations, providing clearer feedback during interactions. - Consolidated chat-related logic into the new web channel module, improving maintainability and organization. * Refactor apiClient to improve token management and eliminate circular dependencies - Renamed `_getToken` to `authTokenGetterRef` for clarity and to avoid clashing with transpiled private method names. - Updated the `setStoreForApiClient` function to use the new `authTokenGetterRef` variable, ensuring the `apiClient` remains free of direct imports from `store/index`. - Enhanced the `ApiClient` class by renaming the `getToken` method to `resolveAuthToken`, improving readability and consistency in token retrieval logic. - Adjusted comments in `apiClient.ts` and `store/index.ts` to reflect the changes and clarify the purpose of the lazy store accessor. * Enhance API client integration with store for improved token management - Introduced `setStoreForApiClient` in `main.tsx` to bind the Redux store's auth token for API requests, ensuring seamless token access. - Updated comments in `apiClient.ts` to clarify the lazy token accessor's purpose and prevent circular dependencies. - Removed the previous direct call to `setStoreForApiClient` from `store/index.ts`, centralizing the setup in `main.tsx` for better organization. - Enhanced test setup to include the new store binding, ensuring consistent token retrieval during testing. * Refactor web channel event handling and enhance chat functionality - Updated `WebChatSseEvent` structure to include new fields: `tool_name`, `skill_id`, `args`, `output`, `success`, and `round`, improving the granularity of event data. - Refactored event emission logic in `emit_web_chat_event` to utilize the new fields, ensuring more informative payloads for tool calls and results. - Enhanced the `start_chat` and `cancel_chat` functions to accommodate the new event structure, improving chat session management. - Introduced a new function `publish_tool_events_from_history` to streamline the emission of tool call and result events from chat history, enhancing the overall chat experience. * Refactor web channel integration and enhance controller management - Updated references from the deprecated `web_channel` module to the new `channels::providers::web` structure, improving code organization and maintainability. - Refactored the `build_registered_controllers` and `build_declared_controller_schemas` functions to utilize the new web channel controller methods, ensuring consistency across the application. - Removed the obsolete `web_channel` module and its associated files, streamlining the codebase and enhancing clarity in the channel management system. - Introduced new functions for managing web channel events and schemas, improving the overall architecture of the web channel integration. * Refactor main.tsx and test setup for improved organization - Reordered imports in `main.tsx` to enhance clarity and maintainability, ensuring that `setStoreForApiClient` is called with the correct store reference. - Removed unnecessary whitespace in `setup.ts`, streamlining the test setup file for better readability. * Fix service gate false blocking when service is running * Support soft-pass daemon gate and harden macOS service detection * Extend list-files fallback trigger phrases in agent loop * Replace list-files fallback with tool-call repair retry * Log full system prompt and drop tool-call repair flow * Add tracing-log dependency and enhance CLI logging - Introduced `tracing-log` as a dependency to bridge `log` and `tracing` for improved logging capabilities. - Added a `--verbose` flag to the CLI for enhanced logging detail, initializing the logging level based on this flag. - Implemented an HTTP request logging middleware to capture and log request details. - Updated CLI help output to reflect the new `--verbose` option and improved logging messages throughout the application. * Tighten system prompt for native tool-calling * Auto-create missing workspace context markdown files * Seed workspace prompt files from canonical agent prompt templates * Enhance logging with nu-ansi-term and improve CLI output - Added `nu-ansi-term` dependency for colored terminal output in logs. - Implemented a custom logging format for better readability in CLI. - Updated logging initialization to conditionally use ANSI colors based on terminal support. - Added debug logging for agent responses to aid in troubleshooting. * Harden OpenAI-compatible native tool-call parsing * Format provider tool-call parsing updates * Implement inline autocomplete suggestions in Conversations component - Added functionality for inline suggestions based on user input in the Conversations component. - Introduced debounce logic for autocomplete requests to optimize performance. - Enhanced user experience by allowing suggestions to be accepted via the Tab key. - Updated UI to display inline completion suffixes in the input area. - Modified backend to support new autocomplete features and improved error handling. * Add macOS ARM64 build workflow and enhance release process - Introduced a new GitHub Actions workflow for building signed macOS ARM64 bundles. - Updated the release workflow to validate signing prerequisites for macOS builds. - Enhanced the Tauri configuration preparation to include updater settings. - Added necessary secrets to the example secrets file for macOS signing. - Implemented CLI autocomplete functionality for macOS, including options for debounce and process management. |
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Steven EnamakelandGitHub
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7ad3c73ac3 |
Refactor UI auth/bootstrap and remove legacy UI runtime layers (#63)
* Enhance E2E build process and backend URL handling - Updated `e2e-build.sh` to set CI environment variable correctly for compatibility with various CI runners. - Refactored `backendUrl.ts` to support dynamic backend URL resolution from Vite environment variables, improving flexibility in different deployment contexts. * Implement web channel functionality and enhance chat features - Introduced new web channel commands for sending and canceling chat messages, improving user interaction with the chat system. - Added support for server-sent events (SSE) to handle real-time updates for chat interactions, enhancing responsiveness. - Refactored existing code to improve readability and maintainability, including updates to the core HTTP router and JSON-RPC handling. - Implemented comprehensive end-to-end tests for the web channel flow, ensuring robust functionality and user experience. - Enhanced the overall structure of the web channel module, including event publishing and subscription mechanisms for better scalability. * Refactor socket handling to unify communication across environments - Removed Tauri-specific socket handling from various components, streamlining the codebase to use a single Socket.IO client for both web and desktop environments. - Updated the `useIntelligenceSocket` hook to eliminate Tauri checks and directly utilize the socket service for message sending and chat initialization. - Refactored metadata synchronization in Gmail and Notion services to use the unified socket service, enhancing consistency in socket communication. - Improved error handling and logging across socket interactions to provide clearer feedback during connection issues. - Enhanced the Conversations component to manage socket connection status, ensuring a more robust user experience during chat interactions. * Refactor socket service and enhance core URL resolution - Replaced the deprecated `getBackendUrl` function with `resolveCoreSocketBaseUrl` to improve backend URL resolution for socket connections, accommodating both Tauri and non-Tauri environments. - Introduced `coreSocketBaseFromRpcUrl` to streamline the processing of RPC URLs. - Removed the `tauriSocket.ts` file, consolidating socket handling into a unified service for better maintainability and clarity. - Updated the socket connection logging to provide more informative messages during connection attempts. * Add engineioxide and socketioxide packages to Cargo.lock and update Cargo.toml - Introduced new packages: `engineioxide` and `socketioxide`, both at version 0.15.2, enhancing the project's capabilities. - Updated `Cargo.toml` to include `socketioxide` with the "extensions" feature, ensuring proper integration with the existing codebase. - Added dependencies for both packages, improving modularity and functionality across the application. * Refactor Conversations component and streamline chat handling - Removed unused imports and functions related to Notion context and socket handling, simplifying the Conversations component. - Enhanced error handling during chat interactions, ensuring clearer feedback for users. - Updated chatSend function parameters to eliminate unnecessary context, improving the clarity of the API call. - Consolidated logic for managing chat message history and context, enhancing maintainability and readability of the code. * Enhance core RPC client with improved logging and error handling - Introduced debug logging for socket RPC requests and responses, providing better visibility into the communication process. - Enhanced error handling in the core RPC client to log detailed error messages, improving debugging capabilities. - Updated socket service to log inbound events, ensuring comprehensive tracking of socket interactions. - Removed deprecated MCP handlers from the socket service, streamlining the codebase and improving maintainability. * Refactor apiClient and socketService for improved maintainability - Changed the declaration of `_getToken` from `let` to `var` in `apiClient.ts` to enhance variable scoping. - Removed unused imports in `socketService.ts`, streamlining the code and improving readability. * Refactor deep link handling and enhance E2E testing capabilities - Updated the deep link configuration in `lib.rs` to use a more generalized `#[cfg(desktop)]` directive, improving compatibility across desktop platforms. - Enhanced the `triggerDeepLink` function in `deep-link-helpers.ts` to include macOS-specific app activation and launching logic, ensuring better integration with the macOS environment. - Introduced a new `buildBypassJwt` function to generate bypass JWT tokens for E2E testing, improving the flexibility of authentication flows in tests. - Updated E2E tests in `conversations-web-channel-flow.spec.ts` to utilize the new `triggerAuthDeepLinkBypass` function, enhancing the testing of authentication scenarios. * Enhance deep link handling and E2E test configuration - Updated `triggerAuthDeepLink` in `deep-link-helpers.ts` to support environment-based bypass tokens, improving flexibility in authentication flows during E2E tests. - Modified the `serve_on_ephemeral` function call in `json_rpc_e2e.rs` to disable the core HTTP router's default behavior, enhancing test isolation and control over the testing environment. * Refactor deep link handling and enhance E2E test utilities - Updated `authFlow.e2e.test.tsx` to utilize `window.__simulateDeepLink` for simulating deep links, improving test accuracy and alignment with real-world scenarios. - Modified `lib.rs` to restrict deep link registration to Windows and Linux platforms, clarifying platform-specific behavior. - Enhanced `deep-link-helpers.ts` with a new function to simulate deep links in the WebView, providing a fallback mechanism for E2E tests. - Updated `conversations-web-channel-flow.spec.ts` to reflect changes in deep link triggering, improving logging and test clarity. * Update dependencies in Cargo.lock and Cargo.toml for improved project stability - Removed several unused dependencies from `Cargo.lock` and `Cargo.toml`, including `aes-gcm`, `argon2`, and `async-imap`, streamlining the project and reducing potential security vulnerabilities. - Updated existing dependencies to their latest versions, ensuring compatibility and leveraging improvements in performance and security. - Simplified the dependency structure by consolidating features and removing unnecessary comments, enhancing clarity and maintainability of the configuration files. * Refactor App component and remove unused providers - Removed `AIProvider` and `SkillProvider` from the `App` component, streamlining the component structure and improving readability. - Updated the `UserProvider` to focus solely on bootstrapping the authentication token, enhancing its clarity and purpose. - Adjusted the layout within the `App` component to maintain functionality without the removed providers, ensuring a smooth user experience. * Remove deprecated AI components and types - Deleted the `index.ts`, `loader.ts`, `types.ts`, and related test files from the AI module, streamlining the codebase by removing unused and outdated components. - Eliminated the `default-constitution.md` and associated constitution files, which were no longer relevant to the current architecture. - This cleanup enhances maintainability and reduces complexity within the AI system. * Refactor user data fetching logic and remove legacy tools cache watcher - Enhanced the `useUser` hook to prevent infinite retry loops by implementing a token check with a reference to track the last auto-fetch token. - Removed the legacy file watcher for `TOOLS.md`, transitioning to a core RPC and socket event-based refresh mechanism for tool/config updates. - Updated test state structure to include `isAuthBootstrapComplete` and `channelConnections`, improving test coverage and state management. * Refactor channel module structure and add new providers - Consolidated channel modules under a new `providers` directory, improving organization and clarity. - Introduced new channel providers for DingTalk, Discord, Email, iMessage, IRC, and Lark, expanding the messaging capabilities of the application. - Updated the `mod.rs` file to reflect the new structure and ensure proper module exports, enhancing maintainability and ease of use. * refactor(ui): remove legacy providers/lib logic and stabilize auth bootstrap * chore: apply pre-push auto-fixes |
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Steven EnamakelandGitHub
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244702d349 |
Feat/refactor UI code (#52)
* 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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Steven EnamakelandGitHub
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37991fc567 |
refactor: split tauri host from openhuman_core runtime (#43)
* chore: add Cargo.toml and Cargo.lock for rust-core workspace - Introduced a new workspace for the rust-core module with its own Cargo.toml. - Added Cargo.lock to manage dependencies for the rust-core module. - Updated .gitignore to exclude the target directory generated by Cargo. - Modified GitHub Actions workflow to build from the new rust-core path instead of src-tauri. * feat: enhance memory and authentication models in rust-core - Added new `memory` module to handle persistent memory operations for skills, including methods for storing and querying skill data. - Introduced `models` module with `auth` and `socket` submodules to manage user session and socket connection states. - Updated `lib.rs` to include new modules and ensure proper integration within the rust-core workspace. - Modified `eslint.config.js` to ignore target directories in linting processes. * feat: integrate Tauri and QuickJS support in rust-core - Added `tauri` and `rquickjs` as optional dependencies in `Cargo.toml` to enable Tauri integration and JavaScript execution. - Introduced `CronScheduler` and `PingScheduler` modules for managing scheduled tasks and health checks for skills. - Implemented `MemoryState` struct for shared app-state management in the memory client. - Updated the runtime module to include new schedulers and ensure proper integration with Tauri features. - Enhanced the skill registry to support new functionalities related to skill management and communication. * chore: update ESLint configuration and refactor Rust module imports - Added 'rust-core/**' to ESLint ignore list to streamline linting processes. - Refactored import paths in Rust modules to directly reference the `memory` module, enhancing clarity and maintainability. - Improved formatting in JavaScript files for better readability and consistency. * refactor: rename rust-core to openhuman-core and update dependencies - Renamed the `rust-core` module to `openhuman-core` across all files for consistency. - Updated `Cargo.lock` to include `openhuman-core` as a new dependency and removed `rust-core`. - Adjusted import paths in the codebase to reflect the new module name, ensuring all references are updated. - Enhanced the Tauri integration by modifying dependencies in `src-tauri/Cargo.toml` to point to `openhuman-core`. * refactor: simplify platform detection using match statements - Replaced multiple if-else statements with match expressions in `current_platform`, `get_platform`, and `register` functions for improved readability and maintainability. - Removed unnecessary conditional compilation for Android and iOS in the `SocketManager` and `tauri_bridge` modules, streamlining the codebase. - Enhanced the `send_notification` function to handle platform checks more efficiently. * refactor: update platform detection to use std::env::consts - Replaced `cfg!(target_os = "os_name")` checks with `std::env::consts::OS` for improved clarity and consistency across the codebase. - Added `rppal` as an optional dependency in `Cargo.toml` for Raspberry Pi support. - Cleaned up platform-specific code in various modules, enhancing maintainability. * refactor: streamline platform-specific code and improve readability - Replaced conditional compilation with `std::env::consts::OS` checks in various modules to enhance clarity and maintainability. - Simplified platform detection logic in `available_disk_space_mb`, `ensure_arduino_cli`, and `open_in_brave` functions. - Updated `screenshot_command_exists` test to conditionally skip based on the operating system. - Cleaned up unnecessary `#[cfg]` attributes, focusing on a more consistent approach across the codebase. * feat: introduce comprehensive AI configuration and memory management - Added multiple configuration files for OpenHuman AI, including `AGENTS.md`, `BOOTSTRAP.md`, `CONSCIOUS_LOOP.md`, `IDENTITY.md`, `MEMORY.md`, `README.md`, `SOUL.md`, `TOOLS.md`, and `USER.md` to define agent roles, onboarding processes, identity, memory management, and tool capabilities. - Implemented an encryption layer for AI memory storage in `encryption.rs`, utilizing AES-256-GCM for secure data handling. - Updated `lib.rs` to include the new AI module structure, enhancing the overall architecture and maintainability of the codebase. * refactor: update dependencies and configuration for improved structure - Removed `android_logger` and related packages from `Cargo.lock` and `Cargo.toml`, streamlining the dependency list. - Adjusted the `APP_IDENTIFIER` constant in `config.rs` to reflect the new application identifier. - Updated resource paths in `tauri.conf.json` for better organization. - Enhanced platform-specific dependency management in `Cargo.toml` for clarity and maintainability. * fix(core): gate ai module behind tauri-host feature * refactor: update AI loading mechanisms and improve platform handling - Refactored the AI configuration loading in `loader.ts` and `tools/loader.ts` to utilize Tauri commands for desktop environments, enhancing performance and reliability. - Updated paths for AI markdown files to reflect the new `rust-core` structure. - Introduced a new end-to-end test for Tauri command interactions in `tauriCoreBridge.e2e.test.ts`. - Cleaned up platform-specific code across various modules, ensuring a more consistent approach to handling desktop and web contexts. * feat: add sidecar core binary build and staging for Tauri bundler - Implemented build steps for the sidecar core binary in multiple workflows, targeting both x86_64-unknown-linux-gnu and aarch64-apple-darwin architectures. - Added staging steps to copy the built binaries into the Tauri resources directory, ensuring proper integration for application bundling. - Updated relevant workflows to enhance the build process and streamline artifact management. * refactor: enhance AI loading logic for Tauri integration - Updated `loader.ts` and `tools/loader.ts` to prioritize Tauri commands for loading configurations in desktop environments, with a fallback to bundled markdown files for web contexts. - Adjusted test mocks to reflect the new file paths for tools markdown. - Improved test setup to mock Tauri API behavior accurately. * docs: update CLAUDE.md and remove Android build scripts from package.json - Added a new section in CLAUDE.md detailing the runtime scope, clarifying that Tauri is desktop-only and should not include mobile or web branches. - Removed Android development and build scripts from package.json to streamline the project for desktop platforms only. * refactor: streamline import statements and enhance test mock structure - Reordered import statements in `loader.ts` and `tools/loader.ts` for consistency. - Simplified mock implementation in `tauriCoreBridge.e2e.test.ts` to improve readability and maintainability. - Added external binary configuration in `build.rs` to support resource management during local builds. * test: stabilize core/unit test paths and tauri build-test config * chore: update subproject commit reference in skills * chore: update Tauri build configuration to include custom environment variable - Modified the Tauri build command in the GitHub Actions workflow to set a custom configuration for updater artifacts, enhancing the build process for the x86_64-unknown-linux-gnu target. |