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Steven EnamakelandGitHub 6410db1fad feat(thu-fullrun): overlay attention, skills sync, credits & settings refresh (#479 )

* Update Conversations component to enhance user messaging for budget limits. Changed the warning text for exhausted weekly inference budget to improve clarity and user experience.

* feat(schemas): add new configuration option for vision model usage

- Introduced a new optional boolean field `use_vision_model` in the schemas for enabling vision LLM for screenshot analysis.
- Updated the screen intelligence schemas to include a required `consent` field for starting sessions, replacing the previous `sample_interval_ms` field.
- Enhanced the `ttl_secs` field description for clarity and modified the `capture_policy` to `screen_monitoring` for better understanding of its purpose.

* feat(CoreStateProvider): enhance state management with optimistic updates and error handling

- Implemented optimistic local commits for `setAnalyticsEnabled` and `setOnboardingCompletedFlag` to provide instant UI feedback while ensuring state consistency through authoritative snapshot refreshes.
- Added error handling for the `refresh` function calls in `setAnalyticsEnabled`, `setOnboardingCompletedFlag`, and `clearSession` to log failures, improving robustness in state management during user interactions.
- Updated dependencies in the `useCallback` hooks to include `refresh`, ensuring proper state updates and synchronization with the core.

* feat(paths): centralize runtime path resolution for user-scoped skills data

- Introduced a new module `paths.rs` to handle the resolution of runtime paths for skills, ensuring that `skills_data` and `workspace` directories are scoped per user.
- Updated `bootstrap_skill_runtime` and `bootstrap_skills_runtime` functions to utilize the new path resolution logic, improving consistency and clarity in directory management.
- Enhanced error logging for directory creation failures to include the specific path that failed, aiding in debugging.
- Added a new optional field `overlay_ttl_ms` in the autocomplete schemas to support overlay time-to-live configuration.

* feat(ScreenIntelligencePanel): optimize config synchronization to prevent user edit clobbering

- Introduced a reference to track the last synced configuration signature, ensuring that user edits are preserved during periodic updates from the CoreStateProvider.
- Updated the effect to compare serialized configuration values, allowing for re-sync only when actual changes occur, enhancing user experience and preventing unintended data loss.

* feat(SkillManager): implement initial sync after OAuth completion

- Added functionality to trigger an initial data sync immediately after OAuth completion, ensuring users see fresh data without waiting for the next scheduled sync.
- Updated comments to clarify the change in sync behavior due to recent modifications in the Rust core, which no longer auto-triggers sync on OAuth completion.

* fix(UsageLimitModal, Conversations): enhance user messaging for budget limits

- Updated warning messages in both UsageLimitModal and Conversations components to provide clearer information regarding weekly limits and reset times.
- Improved clarity in user notifications to enhance overall experience when budget limits are reached.

* refactor(SkillSetupModal): improve session mode handling for skill configuration

- Updated the SkillSetupModal component to lock the mode at mount time, ensuring users remain in the setup wizard during their session even if the skill is marked as complete.
- Simplified mode management by replacing the forceSetup state with a sessionMode state, allowing explicit mode switching while maintaining a consistent user experience.

* feat(SkillManager): enhance setup flow for OAuth-based skills

- Updated the `startSetup` method to handle OAuth-based skills more effectively by implementing a fallback to core RPC for skills without a frontend runtime.
- Improved error handling to treat missing `onSetupStart` implementations as successful completion for pure OAuth skills, allowing the setup wizard to display the "Connected!" screen.
- Added detailed logging for both local runtime and core RPC fallback scenarios to improve traceability during the setup process.

* feat(Home): enhance local AI status handling and asset management

- Introduced a new state for local AI assets, allowing for better tracking of model file readiness.
- Updated the loading logic to fetch both local AI status and assets concurrently, improving performance and error handling.
- Implemented a mechanism to hide the Local Model Runtime card once all models are fully downloaded, enhancing user experience.
- Added comprehensive comments to clarify the logic behind model readiness checks based on asset states.

* refactor(Credits): update credit balance structure and terminology

- Renamed credit categories in the RewardsCouponSection and PayAsYouGoCard components for clarity, changing "General credits" to "Promo credits" and "Top-up credits" to "Team top-up."
- Updated the credit balance API to reflect the new structure, replacing `balanceUsd` and `topUpBalanceUsd` with `promotionBalanceUsd` and `teamTopupUsd`.
- Adjusted normalization logic in the credits API to accommodate the new credit balance fields.
- Modified tests to ensure correct handling of the updated credit balance structure.

* feat(Settings): reorganize billing settings and update descriptions

- Added a new top-level billing section to the settings, promoting it out of the Account & Security category for better visibility.
- Updated the description for the Account & Security section to remove billing references, focusing on recovery phrase, team management, and linked account access.
- Adjusted the settings navigation to accommodate the new billing section, ensuring proper routing and user experience.

* refactor(Config): change logging level from info to debug for environment overrides

- Updated logging statements in the Config implementation to use debug level instead of info, reducing verbosity during runtime while maintaining necessary traceability for configuration loading.

* feat(Overlay): implement overlay attention event handling and refactor overlay app structure

- Introduced a new overlay module to manage attention events, allowing the core to publish messages to the overlay window.
- Enhanced the OverlayApp component to handle dictation and attention events, improving user interaction with the overlay.
- Refactored the overlay state management to support different modes (idle, stt, attention) and added auto-dismiss functionality for attention messages.
- Removed the Browser Access Toggle from the Skills page, streamlining the UI and focusing on core functionalities.
- Updated tests to reflect changes in the Skills component and removed unnecessary mocks related to browser access.

* fix(OverlayBubbleChip): reset typewriter animation on new bubble identity

- Updated the OverlayBubbleChip component to reset the typewriter animation correctly when a new bubble is displayed by using the `key` prop.
- Refactored the cleanup logic in the useEffect hook to ensure proper interval management and state reset, enhancing the user experience with bubble transitions.

* refactor(rest): streamline key_bytes_from_string function and improve readability

- Simplified the condition for checking the ASCII key length and character restrictions in the key_bytes_from_string function.
- Consolidated the import statements for base64 engines into a single line for better clarity.
- Adjusted test data formatting for improved readability in the key_bytes_from_string_tests module.

* enhance(logging): improve color detection logic for terminal output

- Updated the color detection logic in the logging module to prioritize environment variables (`NO_COLOR`, `FORCE_COLOR`, `CLICOLOR_FORCE`) for better control over color output.
- Added detailed comments explaining the color resolution order, enhancing code clarity and maintainability.

* test(Home): add mock for openhumanLocalAiAssetsStatus in tests

- Enhanced the Home and HomeBootstrapButtons test files by adding a mock implementation for openhumanLocalAiAssetsStatus, which resolves to an object with null result and empty logs. This improves the test setup for local AI asset status handling.

* refactor(SkillSetupModal): improve session mode handling and loading state

- Updated the SkillSetupModal component to ensure session mode is determined after the first snapshot resolution, preventing premature defaults to the setup wizard.
- Introduced a loading state to display a message while waiting for the skill setup status, enhancing user experience during the modal's initial render.
- Refactored the SkillManager to throw errors for real failures during setup, ensuring proper error handling and user feedback.

* refactor(Config): simplify logging for invalid proxy scope values

- Consolidated the logging statement for invalid OPENHUMAN_PROXY_SCOPE values into a single line, improving code readability while maintaining the warning functionality.

2026-04-09 23:01:56 -07:00