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24
Commits
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 Cyrus GrayandGitHub
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dba87f7686 | fix(settings): resolve overlapping text in Memory Data panel (#1305) | ||
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fff1339532 |
feat(memory): per-source memory sync status (#1136) (#1250)
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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62516ba418 |
feat(memory_tree): cloud-default LLM, queue priority, entity filter, Memory tab UI (#1198)
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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66d1f870d1 |
fix(ui): hide unsupported permission UI on non-macOS for Screen Intelligence (#1194)
Co-authored-by: Cursor <cursoragent@cursor.com> |
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Steven EnamakelandGitHub
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2304d9d58f | feat(memory): add Sync and Learn sections to Memory workspace (#1031) | ||
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4f9da9eb8d |
test(foundation): coverage matrix + strategy + gap-fill batch (#773) (#980)
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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3b83fba93a |
feat(home): next-steps card + drop stub /agents route (#788)
Co-authored-by: Jwalin Shah <jshah1331@gmail.com> |
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c26ca795ca |
fix: keep chat processing alive across tab switches (#587)
* fix(chat): keep in-flight responses alive across tab switches Made-with: Cursor * chore: satisfy lint and format push gates Made-with: Cursor * fix: address CodeRabbit review on chat runtime PR Made-with: Cursor * feat(chat): add explicit inference turn lifecycle in chat runtime slice Made-with: Cursor * feat(chat): implement thinking summary feature in chat responses Added a new mechanism to accumulate and send model reasoning text as a separate message during chat interactions. This includes handling "thinking_delta" events to gather reasoning content, formatting it for clarity, and ensuring it is sent before the main response. Updated the StreamingState struct to include a thinking accumulator for this purpose. This enhancement improves user experience by providing insight into the model's reasoning process. * feat(telegram): update bot username handling for staging and production environments Refactored the Telegram bot username resolution logic to differentiate between staging and production environments. Introduced constants for default usernames based on the application environment and updated the GitHub Actions workflow to set the appropriate environment variables. This change enhances the flexibility and clarity of bot username management in the application. * fix: resolve CodeRabbit review issues on feat/thinking-telegram-summary - bus.rs: fix UTF-8 char boundary panic in format_thinking_summary truncation - threadSlice.ts: remove premature activeThreadId clear from addInferenceResponse.rejected - Conversations.tsx: add composerBlocked global lock, clear tool timeline in safety timeout - ChatRuntimeProvider.tsx: replace stale toolTimelineRef/inferenceStatusRef reads with live store.getState() calls in all event handlers - LocalAIDownloadSnackbar.tsx: reset dismissed/collapsed on not-downloading → downloading transition edge - MemoryGraphMap.tsx: derive activeSelectedNode to guard stale selectedNode after relations refresh; add debug logs to useMemo graph recompute Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: use render-phase update for download dismiss reset in LocalAIDownloadSnackbar Replace effect-based setState with the React render-phase update pattern so the not-downloading → downloading transition resets dismissed/collapsed without triggering the react-hooks/set-state-in-effect lint warning. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: apply prettier and cargo fmt auto-formatting Formatting changes applied by the pre-push hook during the previous commit. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * refactor: replace endInferenceTurn with clearRuntimeForThread in Conversations component Updated the Conversations component to replace the endInferenceTurn dispatch with clearRuntimeForThread. This change simplifies the handling of thread runtime state during error scenarios and timeout conditions, ensuring a cleaner state management approach. --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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Steven EnamakelandGitHub
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5a8a7edb91 |
Refine billing, settings, rewards, and usage UI (#547)
* feat: add react-icons support and refactor skill category handling - Added `react-icons` dependency to the project for enhanced icon usage. - Introduced new skill icons in the `toolkitMeta.tsx` component, replacing SVG icons with `react-icons` for improved maintainability and consistency. - Created a new `skillCategories.ts` file to define skill categories and their order, streamlining the management of skill categories across the application. - Refactored the `SkillCategoryFilter` component to utilize the new skill categories structure, enhancing clarity and reducing redundancy in the codebase. - Updated the `Skills` page to leverage the new icon rendering method and skill categories, improving the overall user experience. - Added tests to ensure the correct functionality of the new skill category and icon implementations. * feat: update environment configuration and enhance settings UI - Updated `.env.example` and `app/.env.example` to reflect new backend URL and added optional environment selector for staging. - Enhanced `SettingsHome` component by separating account and billing sections for improved clarity. - Introduced a new billing section in the settings menu to streamline user navigation. - Updated `useSettingsNavigation` hook to accommodate changes in settings structure. - Improved `BillingPanel` to handle session token checks and ensure accurate billing state retrieval. - Refactored `Rewards` page to enhance user experience with clearer progress indicators and improved layout. - Added tests to validate changes in the rewards and settings components. * feat(config): enhance API base URL handling and environment configuration - Introduced a new staging API base URL constant for better environment management. - Added app environment variable constants to streamline environment detection. - Refactored effective API URL resolution to accommodate environment-specific defaults. - Implemented functions to resolve app environment from process environment variables. - Added tests to validate the correct behavior of staging and production API URL handling. * feat(rewards): add community and referrals tabs for rewards management - Introduced `RewardsCommunityTab` and `RewardsReferralsTab` components to enhance the rewards management interface. - The `RewardsCommunityTab` displays user progress, Discord role statuses, and connection options, improving user engagement with rewards. - The `RewardsReferralsTab` allows users to manage their referral program, track progress, and access coupon rewards in a streamlined layout. - Updated the `Rewards` page to integrate these new tabs, enhancing overall user experience and navigation. * feat(rewards): introduce ReferralRewardsSection and RewardsRedeemTab components - Added `ReferralRewardsSection` to manage referral statistics and code application, enhancing user engagement with the referral program. - Created `RewardsRedeemTab` to streamline the process of applying reward codes, improving the overall rewards management experience. - Updated `Rewards` page to include the new redeem tab, allowing users to easily switch between referral and redeem functionalities. - Refactored `RewardsCommunityTab` to adjust the referral selection handler, ensuring consistent navigation across the rewards interface. - Removed redundant UI elements in `RewardsCouponSection` for a cleaner layout. - Enhanced tests to cover new functionalities and ensure robust performance across the rewards system. * feat(ui): introduce PillTabBar component and refactor SkillCategoryFilter and Rewards pages - Added a new `PillTabBar` component to enhance tab navigation with customizable styles and item rendering. - Refactored `SkillCategoryFilter` to utilize `PillTabBar`, improving code clarity and reducing redundancy in button rendering. - Updated the `Rewards` page to replace the existing tab navigation with `PillTabBar`, streamlining the user interface for switching between referral, rewards, and redeem tabs. - Enhanced the `ReferralRewardsSection` layout for better user experience and consistency across the rewards management interface. - Improved tests to cover the new `PillTabBar` functionality and ensure robust performance across the updated components. * fix(rewards): update placeholder and button text in RewardsCouponSection - Changed the input placeholder from "Promo code" to "Coupon code" for clarity. - Updated button text from "Apply code" to "Redeem Code" to better reflect the action being performed. - Adjusted loading state text from "Applying…" to "Redeeming..." for consistency in user feedback. * feat(composio): enhance toolkit handling and improve user messaging - Updated the `ComposioConnectModal` to simplify the connection message, removing unnecessary wording for clarity. - Introduced a `TOOLKIT_ALIASES` mapping in `toolkitMeta.tsx` to standardize toolkit slugs, improving consistency across the application. - Refactored the `composioToolkitMeta` function to utilize the new slug mapping, enhancing toolkit metadata retrieval. - Improved the `useComposioIntegrations` hook to leverage the canonicalized toolkit slugs for better integration handling. - Adjusted the `Skills` page to normalize toolkit slugs during rendering, ensuring a consistent user experience. - Updated tests to reflect changes in messaging and toolkit handling, ensuring robust functionality across the application. * feat(intelligence): add new tabs for Dreams, Memory, and Subconscious features - Introduced `IntelligenceDreamsTab`, which displays generated dreams based on daily life events, enhancing user engagement with a visually appealing layout. - Added `IntelligenceMemoryTab` to manage actionable items, featuring search and filter capabilities for improved user interaction with memory data. - Created `IntelligenceSubconsciousTab` to handle subconscious tasks and logs, providing users with insights and management options for their subconscious activities. - Refactored the `RewardsCommunityTab` to remove unused Discord role status logic, streamlining the component for better performance. - Implemented a new `PageBackButton` component for consistent navigation across settings pages. - Enhanced the `BillingPanel` and its subcomponents to improve user experience in managing billing and subscription details, including transaction history and payment methods. - Added new billing-related tabs for better organization and access to billing features, including `BillingOverviewTab`, `BillingPaymentsTab`, and `BillingPlansTab`. - Updated tests to ensure functionality across new and refactored components, maintaining robust application performance. * refactor(billing): update BillingPanel and BillingPlansTab for improved user experience - Changed the default selected tab in `BillingPanel` from 'overview' to 'plans' to prioritize subscription management. - Removed the `BillingOverviewTab` from the `BillingPanel`, streamlining the billing interface. - Enhanced the `BillingPlansTab` header to clarify the purpose, changing "Explore tiers" to "Choose a Subscription Plan". - Updated the description in `BillingPlansTab` for better clarity on payment options. - Improved the layout of the `SubscriptionPlans` component to better highlight crypto payment options and their availability. - Cleaned up unused code and comments for better maintainability. * refactor(billing): streamline BillingPanel and BillingPlansTab components - Removed unused `teamUsage` state and related API call from `BillingPanel` to simplify data management. - Adjusted layout in `BillingPlansTab` for improved visual hierarchy and user experience. - Cleaned up code by eliminating unnecessary comments and enhancing maintainability. * refactor(billing): enhance SubscriptionPlans layout for improved responsiveness - Updated the layout of the `SubscriptionPlans` component to ensure better responsiveness and visual consistency. - Adjusted class names to include minimum height and width properties for better alignment across different screen sizes. - Enhanced the layout of the pricing display section for improved clarity and user experience. * refactor(billing): update subscription plans and billing components for improved clarity and user experience - Adjusted pricing for BASIC and PRO plans to reflect new monthly and annual rates. - Enhanced feature descriptions for subscription plans to better communicate value. - Removed redundant UI elements in the BillingPaymentsTab and PayAsYouGoCard for a cleaner layout. - Added loading and confirmation messages in SubscriptionPlans to improve user feedback during payment processes. - Updated class names for better responsiveness and visual consistency across billing components. * refactor(billing): improve error messaging and UI consistency in billing components - Updated error message in BillingPanel to specify adding a payment card on Stripe for clarity. - Changed header text in AutoRechargeSection to "Enable Auto-Recharge" for better user understanding. - Modified button text in AutoRechargeSection to "Add card on Stripe" for consistency. - Enhanced styling in PayAsYouGoCard for improved visual appeal and user interaction. - Removed redundant UI elements in PayAsYouGoCard for a cleaner layout. * refactor(billing): remove unused error handling and improve UI consistency across billing components - Eliminated `setArError` prop from BillingPanel, AutoRechargeSection, and BillingPaymentsTab to streamline error handling. - Enhanced layout and styling in BillingHistoryTab and SubscriptionPlans for better visual consistency and user experience. - Removed the BillingOverviewTab component to simplify the billing interface and improve maintainability. * refactor(billing): update feature descriptions and enhance SubscriptionPlans display - Revised feature descriptions in the PLANS array for clarity and conciseness. - Increased the number of displayed features in the SubscriptionPlans component to provide users with more information at a glance. * refactor(billing): update billing components for improved clarity and functionality - Revised feature descriptions in the PLANS array to reflect increased usage limits. - Renamed header in BillingHistoryTab to "Transaction History" and updated description for clarity. - Adjusted transaction amount formatting in BillingHistoryTab to display five decimal places. - Removed redundant UI elements in BillingPaymentsTab to streamline the layout. - Enhanced PayAsYouGoCard with improved credit balance display and top-up options, including validation for custom amounts. * feat(usage): add budget completion message logic and update tests - Introduced `shouldShowBudgetCompletedMessage` to the `UsageState` interface to indicate when the budget completion message should be displayed. - Updated the `useUsageState` hook to calculate the budget completion message based on user credits and budget status. - Enhanced tests for `useUsageState` to verify the correct behavior of the budget completion message under various scenarios. - Modified the `Conversations` component to display the budget completion message appropriately based on the new logic. * style: apply formatter fixes from pre-push hook * refactor(rewards): update coupon section and test cases for clarity and consistency - Renamed placeholder text and button labels in the RewardsCouponSection test to reflect updated terminology. - Adjusted test assertions to ensure they align with the new button and placeholder names. - Updated pricing details in billingHelpers tests to reflect new monthly and annual rates for BASIC and PRO plans. - Enhanced the ContextGatheringStep labels for better clarity regarding email and LinkedIn processing stages. * style(tests): format coupon code input changes for consistency - Reformatted the coupon code input changes in the RewardsCouponSection test for improved readability and consistency. - Ensured that the test cases maintain a uniform style for better maintainability. * refactor: enhance accessibility and improve code structure in various components - Added ARIA roles and attributes to the PillTabBar for better accessibility. - Refactored the canonicalization logic for toolkit slugs into a new file for improved organization. - Updated the IntelligenceDreamsTab and IntelligenceMemoryTab components for better readability and accessibility. - Enhanced error handling and logging in the IntelligenceSubconsciousTab for improved debugging. - Streamlined the ReferralRewardsSection and RewardsCommunityTab components by normalizing referral code input handling. - Removed unused props and improved layout consistency in BillingPanel and related components. - Updated the Skills page to handle subconscious escalation dismissals more effectively. * feat(release): configure staging environment for deployment - Added steps to configure the staging app environment in the release workflow. - Set environment variables for staging, including OPENHUMAN_APP_ENV and VITE_OPENHUMAN_APP_ENV. - Updated build and deployment steps to conditionally use staging settings based on the build target. - Ensured proper handling of workspace paths for staging deployments. * chore(env): add optional staging environment variable to .env.example - Introduced OPENHUMAN_APP_ENV variable to specify the app environment as 'staging'. - Updated .env.example to include new environment configuration for clarity. * refactor(intelligence): streamline navigation and improve text formatting - Simplified the navigation logic in the IntelligenceSubconsciousTab for better readability. - Improved text formatting in the IntelligenceDreamsTab for enhanced clarity and consistency. - Refactored import statements in toolkitMeta.tsx for better organization. |
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Steven EnamakelandGitHub
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63b17ca55c |
refactor: remove dead frontend modules and obsolete API layers (#469)
* refactor: remove unused socket, agent tool registry, daemon health, and API service files - Deleted the `useSocket` hook, `AgentToolRegistry`, `DaemonHealthService`, and various API service files including `actionableItemsApi`, `apiKeysApi`, `feedbackApi`, `inferenceApi`, `managedDmApi`, and `settingsApi`. - This cleanup reduces code complexity and improves maintainability by removing obsolete components that are no longer in use. * feat: add knip configuration and commands to package.json - Introduced new scripts for running knip in development and production modes in both package.json files. - Added a knip.json configuration file to specify entry points and project files for dependency analysis. - Updated yarn.lock to include new dependencies related to knip, enhancing the project's dependency management capabilities. This commit improves the project's tooling for managing dependencies and ensures better code quality through automated checks. * refactor: remove unused components and clean up dependencies - Deleted several unused components related to intelligence features, including ActionPanel, InputGroup, SectionCard, and ValidatedField, to streamline the codebase. - Removed mock data and country data files that are no longer in use, enhancing maintainability. - Cleaned up the package.json by removing the @heroicons/react dependency, which is no longer required. - This commit improves the overall project structure and reduces complexity by eliminating obsolete code. * refactor: remove IntelligenceApiService and redefine ConnectedTool interface - Deleted the `IntelligenceApiService` class and its associated backend API methods to streamline the codebase. - Introduced a local definition of the `ConnectedTool` interface in `useIntelligenceApiFallback.ts` for better encapsulation and clarity. - This refactor enhances maintainability by eliminating unused code and consolidating relevant types within the appropriate context. * style: format knip config * chore(dependencies): update OpenHuman to version 0.52.0 in Cargo.lock * feat: implement Daemon Health Service for polling and state management - Introduced the `DaemonHealthService` class to poll the Rust core health snapshot and synchronize the frontend daemon store. - Added methods for setting up a health listener, parsing health snapshots, and updating the daemon store based on health data. - Implemented a timeout mechanism to handle disconnection scenarios, enhancing the reliability of the daemon's health monitoring. - This addition improves the application's ability to maintain an accurate representation of the daemon's health status in real-time. * chore(knip): update entry points in knip configuration - Modified the `entry` field in `knip.json` to include `src/main.tsx` alongside existing test specifications. - This change ensures that the main application file is included in dependency analysis, improving project structure and tooling. * refactor: streamline code and enhance readability across multiple modules - Consolidated multiple `replace` calls into single calls using arrays for improved efficiency in text processing. - Simplified default implementations for several structs, removing redundant code. - Updated query mapping in database interactions to enhance clarity and maintainability. - Improved logging and error handling by refining how state and error messages are processed. - Enhanced the readability of various functions by restructuring conditional checks and simplifying logic. These changes collectively improve code maintainability and performance across the application. * Merge remote-tracking branch 'origin/fix/cleanup' into fix/cleanup * fix: update error handling in bootstrap_after_login function - Changed the error parameter in the inspect_err closure to an underscore to indicate it is unused. - This minor adjustment improves code clarity and adheres to Rust conventions for unused variables. |
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Steven EnamakelandGitHub
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acc6246e59 |
Refactor core-polled app state and screen intelligence status (#464)
* refactor(accessibility): remove device control and predictive input features from accessibility settings - Updated accessibility-related components and tests to eliminate device control and predictive input features. - Adjusted AccessibilityPanel and ScreenIntelligencePanel to reflect the removal of these features. - Modified related tests to ensure consistency with the updated accessibility status structure. - Cleaned up accessibility session parameters and state management to focus solely on screen monitoring. * refactor(accessibility): streamline featureOverrides state initialization - Simplified the initialization of featureOverrides state in AccessibilityPanel and ScreenIntelligencePanel components for better readability. - Consolidated parameter definitions in startAccessibilitySession to enhance clarity and maintainability. - Removed unnecessary re-exports in the screen_intelligence engine module to clean up the codebase. * chore(dependencies): update OpenHuman to version 0.51.19 in Cargo.lock * chore(dependencies): update OpenHuman version to 0.51.19 in Cargo.lock * feat(restart): implement core process restart functionality - Added a new `SystemRestartRequested` event to the `DomainEvent` enum to handle restart requests. - Introduced a `RestartSubscriber` that listens for restart events and manages the process respawn. - Created a `service_restart` function to publish restart requests via the event bus. - Updated service schemas to include a new `restart` controller with parameters for source and reason. - Enhanced documentation to reflect changes in behavior and added necessary code comments. * feat(accessibility): add last restart summary to Screen Intelligence Panel - Introduced `lastRestartSummary` to the accessibility state and updated relevant components to display the last successful core restart information. - Modified `PermissionsSection` and `ScreenIntelligencePanel` to include the new summary. - Updated tests to validate the display of the last restart summary and ensure proper state management during core restarts. - Refactored accessibility slice to handle the new restart summary in state updates. * feat(core): enhance startup process with restart delay and subscriber registration - Added a call to apply startup restart delay from environment variables in `run_core_from_args`. - Updated the `bootstrap_skill_runtime` function to register a `RestartSubscriber` for handling restart requests, ensuring consistent respawn logic across triggers. - Introduced a new `core_process` field in the `AccessibilityEngine` to track the core process status, including its PID and start time. - Implemented a helper function to capture the core process start time using `OnceLock` for efficient initialization. * feat(screen-intelligence): refactor accessibility state management and UI components - Replaced direct Redux state access with a new `useScreenIntelligenceState` hook across multiple components, including `AccessibilityPanel`, `ScreenIntelligencePanel`, and their respective subcomponents. - Streamlined permission and session handling by consolidating related functions and removing unnecessary dispatch calls. - Updated tests to mock the new state management approach, ensuring consistent behavior and validation of UI elements. - Removed the `SessionAndVisionSection` component to simplify the structure and improve maintainability. - Introduced a new API file for screen intelligence to encapsulate related functionality and improve code organization. * refactor(tests): clean up and optimize test files for accessibility and screen intelligence panels - Removed redundant imports and streamlined the structure of test files for `AccessibilityPanel` and `ScreenIntelligencePanel`. - Consolidated core process state initialization in test mocks for better readability. - Updated dependency imports and ensured consistent mocking of state management hooks across tests. - Enhanced the `ScreenPermissionsStep` component by improving the dependency array in the useEffect hook for better performance. * refactor(store): remove unused authentication and user management code - Deleted the `UserProvider`, `authSlice`, `authSelectors`, `userSlice`, `teamSlice`, and related test files to streamline the codebase. - This cleanup enhances maintainability by removing legacy code that is no longer in use. - Updated the store configuration to reflect the removal of these slices and ensure proper state management. * refactor(webhooks): reorganize types and remove legacy state management - Moved `TunnelRegistration` and `WebhookActivityEntry` types to a new `types.ts` file for better organization. - Updated imports in `TunnelList` and `WebhookActivity` components to reference the new types location. - Refactored `useWebhooks` hook to eliminate Redux state management in favor of local state, enhancing performance and reducing complexity. - Removed unused `aiSlice`, `inviteSlice`, and `webhooksSlice` along with their associated tests to streamline the codebase. * refactor(daemon): migrate state management from Redux to a custom store - Introduced a new `store.ts` file to manage daemon state, replacing the previous Redux slice. - Updated components and hooks to utilize the new state management approach, enhancing performance and reducing complexity. - Removed the legacy `daemonSlice` and associated Redux logic, streamlining the codebase. - Adjusted imports in various components and hooks to reference the new store structure. * refactor(screen-intelligence): integrate core state management and enhance status handling - Replaced direct state management in `useScreenIntelligenceState` with a new core state approach, utilizing `useCoreState` for improved performance and consistency. - Updated status fetching and permission handling to leverage the core state snapshot, streamlining the logic and reducing redundant API calls. - Introduced a new `CoreRuntimeSnapshot` interface to encapsulate runtime statuses, including screen intelligence, local AI, autocomplete, and service states. - Adjusted related components and hooks to align with the new state management structure, enhancing maintainability and readability. - Updated tests to validate the new runtime state structure and ensure proper functionality across the application. * refactor(components): reorganize imports and streamline function formatting - Moved the import of `Tunnel` and `tunnelsApi` in `TunnelList.tsx` for better organization. - Reformatted function definitions in `store.ts`, `useDaemonHealth.ts`, `useDaemonLifecycle.ts`, `useWebhooks.ts` for improved readability. - Cleaned up the structure of test files in `coreRpcClient.test.ts` by consolidating object properties for clarity. - These changes enhance code maintainability and readability across the application. * test(screen-intelligence): fix duplicate hook imports * fix(tests): update ScreenIntelligenceDebugPanel test to use baseState for refresh status and vision calls * refactor(invites): simplify error message rendering in Invites component - Consolidated the conditional rendering of the load error message in the Invites component for improved readability. - This change enhances the clarity of the code without altering functionality. * refactor(daemon): streamline state management and function definitions - Removed the `healthTimeoutId` from the `DaemonUserState` interface and related functions to simplify state management. - Converted several functions in `store.ts` to arrow function syntax for consistency and improved readability. - Updated the `Invites` component to handle asynchronous loading and error states more effectively, ensuring that in-flight requests are properly managed. - Refactored the `CoreStateProvider` to enhance the refresh logic and prevent multiple simultaneous refreshes. - Introduced a new `register_domain_subscribers` function in `jsonrpc.rs` to centralize event bus subscriber registration, improving code organization and maintainability. * fix: add debug logging, atomic restart guard, and idempotent subscriber registration - CoreStateProvider: add namespaced debug logger for polling failure diagnostics - service/bus.rs: add AtomicBool gate to prevent duplicate restart spawns - service/bus.rs: use OnceLock for idempotent RestartSubscriber registration - Invites.tsx: add debug log in loadInviteCodes catch block * style: apply prettier formatting to CoreStateProvider * fix: sanitize error logging, serialize refresh, and demote restart logs - CoreStateProvider: sanitize error objects in poll failure logs to avoid leaking tokens/headers - CoreStateProvider: move in-flight guard into refresh() via shared promise so all callers (poll, updateLocalState, storeSessionToken) are serialized - CoreStateProvider: log refreshTeams errors instead of swallowing them - service/bus.rs: demote duplicate-restart log to debug, omit reason from log output to avoid free-form text emission * style: apply cargo fmt to service/bus.rs |
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Steven EnamakelandGitHub
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cd2a4a9a87 |
feat(screen-intelligence): OCR-only mode without vision model (#424)
* feat(settings): add 'Use Vision Model' option to Screen Intelligence Panel - Introduced a new checkbox in the Screen Intelligence Panel to toggle the use of a vision model for richer context extraction from screenshots. - Updated state management to handle the new option and integrated it into the configuration and processing logic. - Adjusted related tests and configurations to support the new feature, ensuring compatibility across the application. * feat(cli): add --no-vision-model option for screen intelligence - Introduced a new command-line option `--no-vision-model` to allow users to skip the vision model and use OCR and text LLM only. - Updated the CLI options parsing to handle the new flag and modified the bootstrap logic to respect this setting. - Enhanced usage documentation to reflect the new option and its alias `--ocr-only` for clarity. * fix(screen-intelligence): read use_vision_model from engine runtime config The processing worker was reading use_vision_model from the persisted config file (Config::load_or_init), so the CLI --no-vision-model flag had no effect. Now reads from the engine's in-memory runtime config which the CLI correctly overrides via apply_config(). Also moves image compression before OCR pass. * fix: add use_vision_model to test fixtures and fix rustfmt Add the new use_vision_model field to all AccessibilityConfig test fixtures so TypeScript compilation passes. Also includes rustfmt auto-fix for screen_intelligence_cli.rs. |
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b8ae9674b3 |
fix(memory): graph query returns namespace data and add sync e2e tests (#344) (#363)
* fix(memory): graph query returns namespace data and add sync e2e tests (#344) The knowledge graph UI showed empty because graph_query(None) only queried the graph_global table, while ingestion writes to graph_namespace. Now graph_query(None) queries both tables via graph_query_all(), merging results. Changes: - Added graph_query_all() in unified graph store to query across all namespaces - MemoryClient::graph_query(None) now uses graph_query_all() instead of graph_query_global() - MemoryWorkspace passes selectedNamespace to the RPC call - Added diagnostic logging in ingestion pipeline (RelEx model availability, extraction counts) - Added debug logging in tauriCommands for unexpected response shapes - Added 2 integration tests proving document sync populates the graph (ignored by default for CI, run with --ignored) Closes #344 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: remove trailing comma for Prettier compliance 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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bb1f2c3c8d |
feat: screen intelligence pipeline + CLI + keep_screenshots config (#339)
* feat: add keep_screenshots functionality to Screen Intelligence settings - Introduced a new `keep_screenshots` option in the Screen Intelligence settings, allowing users to save captured screenshots to the workspace instead of deleting them after processing. - Updated relevant components and tests to reflect this new feature, ensuring consistent behavior across the application. - Enhanced the user interface to include a checkbox for the `keep_screenshots` setting, improving user experience and configurability. * feat: add `openhuman screen-intelligence` CLI for standalone testing Adds a dedicated CLI (mirroring `openhuman skills`) to run the screen intelligence capture + vision pipeline without the full desktop app. Subcommands: run, status, capture, start, stop. Makes save_screenshot_to_disk public so the CLI capture --keep flag works. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: add keep_screenshots to ScreenIntelligencePanel test assertion 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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Steven EnamakelandGitHub
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e13980d8ca |
feat: encrypted OAuth token flow with XOR key-splitting (#327)
* feat: implement encrypted OAuth flow and client key management - Updated the SkillSetupWizard to include an encryption mode parameter in the OAuth connection URL. - Enhanced the SkillManager to handle client key shares during OAuth completion, allowing skills to use encrypted proxy requests. - Introduced a new API endpoint for fetching client key shares, facilitating secure communication. - Modified the OAuth deep link handler to retrieve and pass the client key share to the skill runtime. - Implemented client key persistence and restoration in the skill instance, ensuring secure access during runtime. - Updated the JavaScript fetch implementation to utilize the client key for encrypted proxy requests. * refactor: improve registry URL handling in registry_cache.rs - Updated the registry_url function to filter out empty environment variable values for SKILLS_REGISTRY_URL, ensuring a valid URL is always returned. - Enhanced the code readability by using method chaining for better clarity in the URL retrieval process. * feat: enhance SkillSetupWizard with manual integration ID entry for dev mode - Added support for manual entry of integration IDs in development mode within the OAuthLoginView component. - Implemented functionality to handle OAuth completion using the provided integration ID, including error handling and state management. - Updated the component's props to include skillId and onManualComplete for better integration with the setup wizard flow. * feat: enhance SkillSetupWizard with skill runtime readiness check - Added a mechanism to wait for the skill runtime to be fully running after starting it, improving reliability in the OAuthLoginView component. - Introduced a new JSON file for skill preferences, enabling configuration for skills like Notion, including setup completion status. * refactor: streamline code formatting and improve readability in various files - Simplified the formatting of function calls and JSON output definitions in `desktopDeepLinkListener.ts`, `rest.rs`, and `schemas.rs` for better clarity. - Cleaned up import statements in `instance.rs` to enhance organization and maintainability. * feat: remove dictation functionality and related components - Deleted the DictationOverlay component and its associated hooks, streamlining the application by removing unused dictation features. - Updated the App component to reflect the removal of dictation-related UI elements. - Cleaned up settings and navigation to eliminate references to dictation settings and panels, enhancing overall code maintainability. * refactor: update MemoryWorkspace title and enhance skill runtime error handling - Changed the title in MemoryWorkspace from "Memory (EverMind)" to "Memory" for clarity. - Improved error handling in SkillSetupWizard during skill runtime startup, ensuring more informative error messages and a timeout check for skill readiness. |
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Steven EnamakelandGitHub
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e925e8a319 |
Fix local reset flow and Accessibility permission handling (#324)
* refactor: clean up imports and improve code structure in skills_cli and registry_ops - Removed unused imports in `skills_cli.rs` and `registry_ops.rs` to enhance code clarity. - Streamlined import statements for better organization and readability. - Minor adjustments in `engine.rs` to maintain consistency in import usage. * fix: update UI text and styles for MemoryWorkspace and SkillSetupWizard components - Changed the title in MemoryWorkspace to "Memory (EverMind)" for clarity. - Updated text colors in SkillSetupWizard for better visibility and consistency. - Enhanced button styles and loading indicators for improved user experience. * feat: implement reset functionality for OpenHuman data and enhance app data clearing process - Added a new utility function `resetOpenHumanDataAndRestartCore` to reset local OpenHuman data and restart the core process. - Updated `clearAllAppData` in `SettingsHome` to utilize the new reset function, improving the app's data clearing process. - Enhanced error handling during the data reset and session clearing operations to ensure robustness. - Introduced tests for the new reset functionality to validate its behavior and integration. * refactor: remove screen recording permission from AccessibilityPanel - Eliminated the screen recording permission check and associated UI elements from the AccessibilityPanel component. - Updated tests to ensure the screen recording option is no longer present in the rendered output, improving clarity and focus on relevant permissions. * chore: update package.json files to integrate Husky for Git hooks - Added Husky as a dev dependency in both package.json files to manage Git hooks. - Included "prepare" and "postinstall" scripts in the main package.json to ensure Husky is set up correctly. - Cleaned up the app's package.json by removing the "prepare" script, as it is now handled in the main package.json. - Enhanced logging in tauriCommands.ts for better debugging during the reset process. * fix: update variable name for clarity in ops.rs test assertions - Changed the variable name from `data` to `value` in the test assertions to enhance clarity and better reflect its purpose. - Ensured that the assertions remain functional and maintain the integrity of the test logic. * feat: enhance skill selection logic in skills_debug_e2e.rs - Introduced a new function `select_skill_id` to improve skill selection based on environment variables and preferred skills. - Updated the skill ID retrieval process to prioritize user-defined skills while maintaining a fallback to the default skill. - Enhanced documentation to clarify the usage of environment variables for skill testing. * format |
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Cyrus GrayandGitHub
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b3e3e9bb96 |
feat(ui): full light theme redesign based on Figma design tokens (#307)
* feat(ui): full light theme redesign based on Figma design tokens Redesign the entire app from dark glass-morphism to a clean light theme per the Figma reference (OpenHuman-Prod / Ref for mithil). This is a purely visual change — zero logic, handlers, state, or API changes. - Update Tailwind color tokens: neutral grayscale, primary #2F6EF4, success #34C759, alert #E8A728, error #EF4444 - Switch global CSS from dark (black bg, white text) to light (#F5F5F5 bg, #171717 text) - Replace left MiniSidebar with bottom BottomTabBar (Home, Chat, Skills, Intelligence, Automation, Notification) - Add Settings gear icon on Home page header for persistent access - Restyle Home: white card, Welcome Onboard title, connection badge pill - Restyle Chat: gray agent bubbles, blue user bubbles, white input with mic icon, circular send button, model pill selector - Restyle Skills: white card, filter tabs, + Add button, skill rows - Restyle Intelligence: light containers, filters, cards - Convert all 25+ settings panels from dark to light theme - Convert all shared components (modals, cards, inputs, status badges) * fix(test): update ConnectionIndicator tests for pill badge redesign The component no longer renders a description prop — it's now a compact pill badge. Remove description-related test cases, add pill badge test. * fix(ui): address CodeRabbit review — contrast, dead controls, regressions - Remove unused description prop from ConnectionIndicator interface - Fix Save Note button hover affordance (MemoryWorkspace) - Fix low-contrast text in AccessibilityPanel vision summary - Fix AIPanel metadata text contrast (gray-400 → stone-500) - Fix ActionPanel spinner visibility on light bg variants - Fix LocalModelPanel ollama link hover color - Fix MessagingPanel error chip to light theme tokens - Fix RecoveryPhrasePanel import inputs from dark to light tokens - Fix TeamMembersPanel avatar initial contrast + modal name text - Fix Intelligence refresh button text contrast - Remove non-functional + Add button and filter tabs from Skills page * feat(ui): center conversation page in a white card container Match the Figma design where the chat is inside a centered white card with rounded corners and shadow, consistent with the Skills page layout. * feat(ui): wrap all remaining pages in centered white card containers Apply the centered card layout (max-w-2xl, white bg, rounded-2xl, shadow-soft) to every page for visual consistency with Figma designs: - Settings: wrap Routes container in centered card with max-height - Intelligence: centered card with padding - Agents: centered card with empty state - Invites: centered card, replace glass with white cards - Webhooks: centered cards for tunnel list and activity - Mnemonic: centered card, replace glass with white card - Welcome: light bg, updated text colors * fix(ui): stretch settings menu items to fill card container Remove max-w-md constraint from SettingsHome scrollable area so menu items fill the full width of the centered card wrapper. * fix(ui): convert onboarding screens from dark to light theme All onboarding steps (Welcome, LocalAI, ScreenPermissions, Analytics, Tools, Skills, Connect, InviteCode, Mnemonic) and the overlay container now use white cards with light backgrounds, matching the app redesign. - Card containers: bg-black → bg-white with border-stone-200 - Info boxes: dark tinted → bg-stone-50 with border-stone-200 - Text: text-white → text-stone-900, secondary to text-stone-600 - Progress dots: inactive bg-stone-700 → bg-stone-300 - Toggle rows, permission badges, inputs all converted to light tokens * fix(ui): fix onboarding Continue button hover turning green Replace sage hover styles with proper primary blue hover (bg-primary-600) on the shared OnboardingNextButton component. * fix(ui): reapply light theme to Home.tsx after upstream merge overwrite The merge with upstream (Local AI preset bootstrap PR #304) reverted Home.tsx to the dark theme. Reapply the Figma-based light redesign while preserving the new first-run bootstrap logic from upstream. * fix(ui): light theme cleanup for MemoryWorkspace component Remaining dark-theme classes from upstream merge — update borders, text colors, and backgrounds to match light theme. |
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735152cb3f |
feat(memory): surface entity types in recall/query API and UI (#207) (#302)
* fix: patch whisper-rs-sys for Windows MSVC static CRT (/MT) 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 * feat: surface entity types in memory recall/query text context Entity types extracted by GLiNER (person, project, organization, etc.) were stored in graph attrs but not rendered in LLM context text. Relations now display as Alice (PERSON) -[OWNS]-> Atlas (PROJECT) instead of Alice -[OWNS]-> Atlas. Closes #207 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(memory): add entity type UI rendering (#207) - New MemoryTextWithEntities component with colour-coded type badges - MemoryWorkspace + MemoryDebugPanel pass structured entity data - MemoryGraphMap shows entity types below node labels - MemoryInsights shows EntityTypeBadge for subject/object types - tauriCommands returns typed MemoryQueryResult with entities - Updated useConsciousItems and tests for new return types Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: fix prettier formatting Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: fix cargo fmt in query.rs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: use local regex instead of mutating module-level lastIndex Avoids react-hooks/immutability ESLint error by using a non-global regex for the .test() check instead of resetting ENTITY_TYPE_RE.lastIndex. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: sanil jain <jainsanil18@gmail.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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YellowSnnowmannandGitHub
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8acd34d2a9 |
Feat/add dictation (#278)
* feat(dictation): implement voice dictation feature with overlay and settings panel - Added DictationOverlay component for real-time speech-to-text functionality, including recording, transcribing, and error handling. - Introduced useDictation hook to manage audio recording and transcription processes. - Created DictationPanel for configuring dictation settings, including hotkey registration and floating launcher preferences. - Updated SettingsHome to include a navigation option for the new dictation feature. - Integrated dictation state management with Redux, allowing for persistent settings and status checks. - Enhanced Tauri commands for registering global hotkeys and managing dictation state. This update provides a comprehensive voice dictation experience, enabling users to transcribe speech to text using local AI. * fix(dictation): update DictationOverlay to conditionally render based on floating launcher state - Reintroduced the useAppDispatch and useAppSelector hooks for state management. - Added showFloatingLauncher to the state selection, ensuring the overlay only renders when the floating launcher is active. - Simplified the return statement for position calculations in the drag handler. - Improved code readability by formatting JSX elements for better clarity. This update enhances the user experience by ensuring the dictation overlay behaves correctly based on the application's state. * feat(settings): add dictation route and panel to settings navigation - Updated the SettingsRoute type to include 'dictation' as a new route. - Integrated DictationPanel into the Settings page for user configuration. - Enhanced dictation state management by adding showFloatingLauncher to the dictationSlice, allowing for better control of the dictation overlay. This update improves the settings navigation and user experience by providing access to dictation features directly from the settings menu. * feat(dictation): integrate DictationOverlay and enhance dictation settings - Added DictationOverlay component to the main App for improved user interaction with dictation features. - Updated DictationPanel to include a new preference for showing a floating launcher, enhancing user control over dictation functionality. - Enhanced state management by incorporating showFloatingLauncher into the dictationSlice, allowing for better configuration of the dictation experience. This update improves the overall user experience by providing direct access to dictation features and customizable settings. * feat(dictation): enhance DictationOverlay and Conversations for improved text insertion - Added functionality to insert text into editable elements from the DictationOverlay, improving user interaction with dictation features. - Implemented event listener in Conversations to handle custom dictation insert events, allowing seamless integration of transcribed text into the input field. - Updated state management to ensure the correct editable target is used for text insertion, enhancing overall user experience. This update streamlines the dictation process, making it more intuitive and responsive to user actions. * fix(dictation): refine STT availability logic in dictationSlice - Updated the logic for determining STT availability to ensure it only considers the model file as available when both the model file exists and there is a method to run inference (either the in-process engine is loaded or a whisper binary is present). - This change prevents misleading user experiences by avoiding the display of the overlay when the necessary components for transcription are not available. This update enhances the reliability of the dictation feature by providing clearer conditions for STT availability. * refactor(dictation): streamline position management in DictationOverlay - Removed redundant state management for the position of the dictation overlay, consolidating logic to initialize and reset the position based on the current status. - Introduced a new `resetLauncherPosition` function to simplify resetting the overlay's position when necessary. - Updated event handling to ensure the overlay's position is reset appropriately after text insertion actions. This update enhances the clarity and efficiency of the DictationOverlay component, improving user experience during dictation interactions. * refactor(dictation): improve hotkey registration and unregistration process - Streamlined the logic for registering and unregistering dictation hotkeys, ensuring that old shortcuts are properly managed before new ones are registered. - Introduced rollback mechanisms to restore previous shortcuts in case of registration failures, enhancing reliability. - Simplified error handling and logging for better clarity during the hotkey management process. This update enhances the robustness of the dictation feature by ensuring a smoother transition between hotkey states. * refactor: delete unncessesary pr md file * refactor(dictation): enhance dictation functionality and error handling compatibility. * refactor(dictation): improve code formatting and readability across components - Enhanced formatting in DictationOverlay for better clarity in asynchronous action handling. - Streamlined text extraction logic in useDictation for improved readability. - Consolidated model directory setting in DictationPanel to a single line for simplicity. - Improved logging consistency in tauriCommands and speech service files. These changes enhance the maintainability and readability of the dictation-related components. * refactor(dictation): manage DictationOverlay position based on status changes - Introduced a reference to track the previous status of the dictation overlay. - Updated the effect to reset the overlay's position when transitioning from 'idle' to any other status, enhancing user experience during dictation sessions. This change improves the responsiveness of the DictationOverlay component to status changes, ensuring a smoother interaction for users. * refactor(tests): update MemoryWorkspace tests to specify span selector - Modified test assertions in MemoryWorkspace.test.tsx to include a selector for 'span' elements when checking for text presence. - This change enhances the specificity of the tests, ensuring they accurately target the intended elements in the rendered component. These updates improve the reliability of the MemoryWorkspace component tests. |
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YellowSnnowmannandGitHub
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79fe36b41d | fix: remove the deadlock when re-enabling an already-active session and add unit tests for ScreenIntelligenceDebugPanel and ScreenIntelligencePanel (#275) | ||
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cb3f2d351c |
feat(memory): redesign memory workspace with graph, insights, heatmap (#185)
* updated memory files * updated memory * Refactor MemoryHeatmap component to enhance functionality and improve performance - Updated the MemoryHeatmap component to track document/relation timestamps over the last 8 months instead of 52 weeks. - Improved date handling by aligning the start date to the nearest Sunday and counting timestamps within the display range. - Enhanced grid generation logic to dynamically calculate the number of weeks displayed based on the available data. - Adjusted SVG dimensions to ensure proper scaling and responsiveness. - Updated UI text to reflect the new time frame for event tracking. These changes improve the accuracy and usability of the MemoryHeatmap, providing a clearer view of user activity over time. * feat(memory): redesign memory workspace with graph, insights, heatmap Break MemoryWorkspace into focused sub-components (MemoryStatsBar, MemoryGraphMap, MemoryInsights, MemoryHeatmap). Fix lint errors in MemoryGraphMap (window.rAF, unused ref). Change heatmap to fixed 8-month range with responsive SVG width. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: format MemoryGraphMap with prettier Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(tests): update MemoryWorkspace tests for refactored components Align test assertions with the new sub-component structure (MemoryStatsBar, MemoryGraphMap, MemoryInsights, MemoryHeatmap). 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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4d3b63857f |
feat(memory): connect graph query and doc ingest APIs (#124)
* feat(memory): connect graph query and doc ingest APIs to frontend Wire up memory.graph.query and memory.doc.ingest RPC endpoints and integrate graph relations into the MemoryWorkspace UI, replacing backend-only entity counts with local graph store data. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: fix Prettier formatting in MemoryWorkspace and tauriCommands Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: add unit tests for memory graph query, doc ingest, and dispatch routing Cover the new graph query and doc ingest APIs added in this PR: - Rust dispatch tests: routing, param validation, unknown method fallthrough - Frontend tauriCommands tests: Tauri guard, RPC forwarding for memoryGraphQuery/memoryDocIngest - MemoryWorkspace component tests: graph relations rendering, evidence badges, empty states Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: fix Prettier and cargo fmt formatting in test files Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: fix Prettier formatting in tauriCommandsMemory test Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: merge duplicate tauriCommands import in MemoryWorkspace Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: fix Prettier formatting in MemoryWorkspace Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: sanil jain <jainsanil18@gmail.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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777c98ef7c |
feat(skills): registry-based skill management + RPC state migration (#98)
* refactor(tauriCommands): streamline RPC method calls for skill management - Simplified the syntax of RPC method calls in the `tauriCommands.ts` file by removing unnecessary line breaks, enhancing code readability. - Updated descriptions in the `schemas.rs` file to maintain consistent formatting for RPC method descriptions, improving documentation clarity. * chore(release): bump OpenHuman version to 0.49.23 in Cargo.lock * feat(skills): add skill status management in desktopDeepLinkListener - Introduced a new action `setSkillStatus` to manage the skill's connection status. - Updated the OAuth deep link handling to dispatch the skill status as 'ready' upon successful connection, improving state management for skills. * feat(screen_intelligence): implement capture mode for screenshots - Added a `CaptureMode` enum to differentiate between windowed and fullscreen screenshot captures. - Enhanced the `capture_screen_image_ref_for_context` function to determine capture mode based on window bounds, with fallback to fullscreen. - Implemented logic to downscale screenshots exceeding size limits when captured in fullscreen mode. - Introduced a new `parse_foreground_output` function to parse application context from AppleScript output, improving context retrieval for screenshots. * chore(build): update Tauri configuration to remove updater artifacts creation - Modified the TAURI_CONFIG_OVERRIDE to exclude the creation of updater artifacts during the build process, streamlining the build workflow. * feat(accessibility): enhance accessibility state and add capture test functionality - Introduced new properties `captureTestResult` and `isCaptureTestRunning` to the `AccessibilityState` interface for managing capture test states. - Added `CaptureTestResult` and `CaptureTestContextInfo` interfaces to define the structure of capture test results. - Implemented `openhumanScreenIntelligenceCaptureTest` function to initiate screen intelligence capture tests, improving accessibility features. * feat(debug): add Screen Intelligence Debug Panel for enhanced diagnostics - Introduced a new `ScreenIntelligenceDebugPanel` component to display accessibility status, session information, and capture test results. - Integrated the debug panel into the existing `ScreenIntelligencePanel`, allowing users to expand and collapse the debug section. - Updated accessibility state management to include `captureTestResult` and `isCaptureTestRunning` for improved testing feedback. - Enhanced test setup to accommodate new debug functionalities. * feat(screen_intelligence): implement custom hook for screen intelligence items - Added `useScreenIntelligenceItems` hook to fetch and manage screen intelligence items from the accessibility state. - Integrated the hook into the `Intelligence` component, combining items from both memory and screen intelligence sources. - Enhanced loading state management to reflect the combined loading status of both data sources. * test(screen_intelligence): add unit tests for useScreenIntelligenceItems mapping and confidenceToPriority functions - Introduced tests for the mapping logic of AccessibilityVisionSummary to ActionableItem, ensuring correct transformation of properties. - Added tests for confidenceToPriority function to validate priority assignment based on confidence levels. - Included edge cases such as handling empty arrays, null app names, and long actionable notes truncation. * feat(mnemonic): update mnemonic handling to support variable word counts - Refactored mnemonic import logic to accommodate BIP39 phrase lengths (12, 15, 18, 21, 24 words). - Updated state initialization and validation to dynamically adjust based on the allowed word counts. - Enhanced user prompts to reflect the new word count options for recovery phrases. - Adjusted focus handling for input fields to improve user experience during phrase entry. * refactor(skills): migrate skill state management to RPC-based hooks - Replaced Redux-based skill state management with RPC-backed hooks for improved performance and reactivity. - Introduced `useSkillSnapshot` and `useAllSkillSnapshots` hooks to fetch skill states directly from the Rust core. - Updated components to utilize the new hooks, enhancing the overall architecture and reducing dependency on Redux. - Added event listeners to trigger state updates in response to skill state changes, ensuring real-time updates across the application. * fix(lint): merge duplicate tauriCommands import in accessibilitySlice test Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(tests): remove eslint-disable comment from screen intelligence E2E test file --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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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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