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6410db1fad56992a9fab730c38651b8efb369d5d
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Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Steven EnamakelandGitHub
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6410db1fad |
feat(thu-fullrun): overlay attention, skills sync, credits & settings refresh (#479)
* Update Conversations component to enhance user messaging for budget limits. Changed the warning text for exhausted weekly inference budget to improve clarity and user experience. * feat(schemas): add new configuration option for vision model usage - Introduced a new optional boolean field `use_vision_model` in the schemas for enabling vision LLM for screenshot analysis. - Updated the screen intelligence schemas to include a required `consent` field for starting sessions, replacing the previous `sample_interval_ms` field. - Enhanced the `ttl_secs` field description for clarity and modified the `capture_policy` to `screen_monitoring` for better understanding of its purpose. * feat(CoreStateProvider): enhance state management with optimistic updates and error handling - Implemented optimistic local commits for `setAnalyticsEnabled` and `setOnboardingCompletedFlag` to provide instant UI feedback while ensuring state consistency through authoritative snapshot refreshes. - Added error handling for the `refresh` function calls in `setAnalyticsEnabled`, `setOnboardingCompletedFlag`, and `clearSession` to log failures, improving robustness in state management during user interactions. - Updated dependencies in the `useCallback` hooks to include `refresh`, ensuring proper state updates and synchronization with the core. * feat(paths): centralize runtime path resolution for user-scoped skills data - Introduced a new module `paths.rs` to handle the resolution of runtime paths for skills, ensuring that `skills_data` and `workspace` directories are scoped per user. - Updated `bootstrap_skill_runtime` and `bootstrap_skills_runtime` functions to utilize the new path resolution logic, improving consistency and clarity in directory management. - Enhanced error logging for directory creation failures to include the specific path that failed, aiding in debugging. - Added a new optional field `overlay_ttl_ms` in the autocomplete schemas to support overlay time-to-live configuration. * feat(ScreenIntelligencePanel): optimize config synchronization to prevent user edit clobbering - Introduced a reference to track the last synced configuration signature, ensuring that user edits are preserved during periodic updates from the CoreStateProvider. - Updated the effect to compare serialized configuration values, allowing for re-sync only when actual changes occur, enhancing user experience and preventing unintended data loss. * feat(SkillManager): implement initial sync after OAuth completion - Added functionality to trigger an initial data sync immediately after OAuth completion, ensuring users see fresh data without waiting for the next scheduled sync. - Updated comments to clarify the change in sync behavior due to recent modifications in the Rust core, which no longer auto-triggers sync on OAuth completion. * fix(UsageLimitModal, Conversations): enhance user messaging for budget limits - Updated warning messages in both UsageLimitModal and Conversations components to provide clearer information regarding weekly limits and reset times. - Improved clarity in user notifications to enhance overall experience when budget limits are reached. * refactor(SkillSetupModal): improve session mode handling for skill configuration - Updated the SkillSetupModal component to lock the mode at mount time, ensuring users remain in the setup wizard during their session even if the skill is marked as complete. - Simplified mode management by replacing the forceSetup state with a sessionMode state, allowing explicit mode switching while maintaining a consistent user experience. * feat(SkillManager): enhance setup flow for OAuth-based skills - Updated the `startSetup` method to handle OAuth-based skills more effectively by implementing a fallback to core RPC for skills without a frontend runtime. - Improved error handling to treat missing `onSetupStart` implementations as successful completion for pure OAuth skills, allowing the setup wizard to display the "Connected!" screen. - Added detailed logging for both local runtime and core RPC fallback scenarios to improve traceability during the setup process. * feat(Home): enhance local AI status handling and asset management - Introduced a new state for local AI assets, allowing for better tracking of model file readiness. - Updated the loading logic to fetch both local AI status and assets concurrently, improving performance and error handling. - Implemented a mechanism to hide the Local Model Runtime card once all models are fully downloaded, enhancing user experience. - Added comprehensive comments to clarify the logic behind model readiness checks based on asset states. * refactor(Credits): update credit balance structure and terminology - Renamed credit categories in the RewardsCouponSection and PayAsYouGoCard components for clarity, changing "General credits" to "Promo credits" and "Top-up credits" to "Team top-up." - Updated the credit balance API to reflect the new structure, replacing `balanceUsd` and `topUpBalanceUsd` with `promotionBalanceUsd` and `teamTopupUsd`. - Adjusted normalization logic in the credits API to accommodate the new credit balance fields. - Modified tests to ensure correct handling of the updated credit balance structure. * feat(Settings): reorganize billing settings and update descriptions - Added a new top-level billing section to the settings, promoting it out of the Account & Security category for better visibility. - Updated the description for the Account & Security section to remove billing references, focusing on recovery phrase, team management, and linked account access. - Adjusted the settings navigation to accommodate the new billing section, ensuring proper routing and user experience. * refactor(Config): change logging level from info to debug for environment overrides - Updated logging statements in the Config implementation to use debug level instead of info, reducing verbosity during runtime while maintaining necessary traceability for configuration loading. * feat(Overlay): implement overlay attention event handling and refactor overlay app structure - Introduced a new overlay module to manage attention events, allowing the core to publish messages to the overlay window. - Enhanced the OverlayApp component to handle dictation and attention events, improving user interaction with the overlay. - Refactored the overlay state management to support different modes (idle, stt, attention) and added auto-dismiss functionality for attention messages. - Removed the Browser Access Toggle from the Skills page, streamlining the UI and focusing on core functionalities. - Updated tests to reflect changes in the Skills component and removed unnecessary mocks related to browser access. * fix(OverlayBubbleChip): reset typewriter animation on new bubble identity - Updated the OverlayBubbleChip component to reset the typewriter animation correctly when a new bubble is displayed by using the `key` prop. - Refactored the cleanup logic in the useEffect hook to ensure proper interval management and state reset, enhancing the user experience with bubble transitions. * refactor(rest): streamline key_bytes_from_string function and improve readability - Simplified the condition for checking the ASCII key length and character restrictions in the key_bytes_from_string function. - Consolidated the import statements for base64 engines into a single line for better clarity. - Adjusted test data formatting for improved readability in the key_bytes_from_string_tests module. * enhance(logging): improve color detection logic for terminal output - Updated the color detection logic in the logging module to prioritize environment variables (`NO_COLOR`, `FORCE_COLOR`, `CLICOLOR_FORCE`) for better control over color output. - Added detailed comments explaining the color resolution order, enhancing code clarity and maintainability. * test(Home): add mock for openhumanLocalAiAssetsStatus in tests - Enhanced the Home and HomeBootstrapButtons test files by adding a mock implementation for openhumanLocalAiAssetsStatus, which resolves to an object with null result and empty logs. This improves the test setup for local AI asset status handling. * refactor(SkillSetupModal): improve session mode handling and loading state - Updated the SkillSetupModal component to ensure session mode is determined after the first snapshot resolution, preventing premature defaults to the setup wizard. - Introduced a loading state to display a message while waiting for the skill setup status, enhancing user experience during the modal's initial render. - Refactored the SkillManager to throw errors for real failures during setup, ensuring proper error handling and user feedback. * refactor(Config): simplify logging for invalid proxy scope values - Consolidated the logging statement for invalid OPENHUMAN_PROXY_SCOPE values into a single line, improving code readability while maintaining the warning functionality. |
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Steven EnamakelandGitHub
|
6465f3d314 |
feat(agent): sub-agents, reasoning→agentic routing, layered context pipeline (#474)
* Enhance agent architecture with sub-agent support and memory optimizations - Refactored the `Agent` struct to use `Arc` for shared ownership of the provider, tools, and tool specifications, enabling efficient memory management and concurrent access. - Introduced a `NullMemoryLoader` to optimize memory usage for sub-agents, allowing them to operate without incurring the cost of memory recall. - Added new methods in the `Agent` implementation to facilitate sharing of the provider, tools, and tool specifications with sub-agents, enhancing their operational efficiency. - Implemented a new `SystemPromptBuilder` method for constructing prompts specifically for sub-agents, ensuring they receive tailored context while minimizing unnecessary information. - Established a framework for loading custom agent definitions from TOML files, allowing for dynamic agent configuration and specialization. - Introduced a `ForkContext` to support efficient sub-agent execution in fork mode, leveraging shared resources for improved performance and reduced token usage. * Enhance agent definition management and sub-agent functionality - Introduced a global `AgentDefinitionRegistry` to manage built-in and custom agent definitions from TOML files, ensuring idempotent initialization. - Added new RPC handlers for listing, fetching, and reloading agent definitions, improving the flexibility of agent management. - Refactored the `Agent` struct to streamline sub-agent execution, including enhancements to the task execution flow and context handling. - Updated the orchestrator configuration to support fork mode for sub-agents, optimizing resource usage and performance. - Improved error handling and logging for agent definition loading and initialization processes, enhancing system reliability. * Add end-to-end test for sub-agent spawning and response integration - Implemented a new asynchronous test to validate the full path of a parent agent issuing a `spawn_subagent` tool call. - The test ensures that the sub-agent's output is correctly folded into the parent's response, verifying the interaction between the parent agent and the sub-agent. - Enhanced the `AgentDefinitionRegistry` to support global initialization of built-in agents, ensuring consistent behavior across tests. - Updated the handling of tool calls and memory configuration to facilitate the new test scenario, improving overall test coverage for agent interactions. * Enhance agent tool filtering with category support - Introduced a new `category_filter` in `AgentDefinition` to restrict tool visibility based on their category (System or Skill). - Updated the `from_archetype` function to apply the category filter for the `SkillsAgent` archetype. - Modified `SubagentRunOptions` to include a `category_filter_override` for dynamic filtering during sub-agent execution. - Enhanced the `filter_tool_indices` function to incorporate category filtering logic, ensuring tools are correctly filtered based on their defined categories. - Updated relevant tests to validate the new category filtering functionality, improving overall test coverage for agent interactions. * Implement layered context reduction pipeline for agent - Introduced a new `context_pipeline` module to manage a layered context reduction strategy, enhancing memory efficiency during agent interactions. - Added stages for tool-result budgeting, history trimming, microcompaction, autocompaction, and session memory extraction, each with specific triggers and cache implications. - Updated the `Agent` struct to include a `context_pipeline` field, ensuring state persistence across turns. - Enhanced the `AgentBuilder` to initialize the context pipeline by default. - Implemented tests to validate the functionality and stability of the context pipeline, ensuring consistent behavior across agent sessions. - Refactored relevant components to integrate the new context management features, improving overall agent performance and memory handling. * Enhance agent context pipeline with tool result budgeting and microcompaction - Renamed variable for clarity in tool execution result handling. - Implemented a new stage in the context pipeline to apply a byte budget to tool results, ensuring efficient memory usage. - Added logging for budget application, including details on original and final byte sizes. - Integrated microcompaction stages before tool calls to manage history and reduce memory footprint, with appropriate logging for outcomes. - Updated the agent's session memory management to track turn counts, facilitating better resource handling across iterations. * Refactor agent context pipeline for session memory extraction and tool call management - Simplified method calls in the `Agent` struct for clarity and efficiency. - Enhanced session memory extraction logic to spawn a background archivist sub-agent when thresholds are met. - Improved context pipeline handling for tool call recording and usage tracking. - Updated documentation and comments for better understanding of session memory extraction process. - Refactored microcompact function for cleaner code structure and readability. * refactor(agent): split agent.rs into focused submodules - Convert agent.rs (1988 lines) into agent/ folder with six files: * types.rs — Agent + AgentBuilder struct defs * builder.rs — AgentBuilder fluent API + Agent::from_config factory * turn.rs — turn lifecycle, tool dispatch, context pipeline wiring * runtime.rs — public accessors, run_single/run_interactive, helpers * tests.rs — integration tests with shared fakes * mod.rs — glue + top-level `run` convenience function - Drop misc external inspiration references from doc comments in the context_pipeline module and fork_context — the files now stand on their own design language. * fix(agent): address review comments on sub-agent + context pipeline PR Inline comment fixes: - definition.rs: YAML/TOML inconsistency — module doc, PromptSource, source bookkeeping, and load() all now uniformly document the TOML format. - subagent_runner.rs: render_subagent_system_prompt previously only appended PromptSource::Inline bodies, silently dropping PromptSource::File content. Thread the preloaded archetype_body through as an explicit &str parameter so both source variants render. Drops the unused SystemPromptBuilder + tools_for_prompt wiring while we're here. - prompt.rs: remove DateTimeSection from SystemPromptBuilder::for_subagent. Local::now() would make the sub-agent system prompt change per call and break KV-prefix cache stability. Document the invariant. Nitpick fixes: - agent/turn.rs: drop the no-op mark_extraction_started() call — the immediately-following mark_extraction_complete() clears the in-flight flag anyway. - context_pipeline/pipeline.rs: call guard.record_compaction_success() on microcompact success so a prior streak of autocompaction failures doesn't leave the circuit breaker tripped after a successful reduction. - context_pipeline/tool_result_budget.rs: remove the unnecessary out.clone() in the truncation return — capture final_bytes first, then move out. - definition_loader.rs: replace brittle reg.len() == 10 with assert!(reg.len() > 1) plus the existing targeted .get() checks. - executor.rs: tracing::warn! on unknown sandbox override values so typos surface during development; explicitly accept "none" and empty string as valid defaults. - fork_context.rs: add parent_context_visible_inside_scope test mirroring fork_context_visible_inside_scope, with minimal stub Provider/Memory impls so the test stays self-contained. - schemas.rs: drop redundant serde_json::to_value(serde_json::json!(...)) wrapping in handle_list_definitions + handle_get_definition. - event_bus/events.rs: add SubagentSpawned/SubagentCompleted/SubagentFailed cases to all_variants_have_correct_domain. - tools/ops.rs: add all_tools_includes_spawn_subagent regression test. - tools/spawn_subagent.rs: sort/dedup the known skill list in place instead of cloning into a second vec. Tests: 2316 passed / 0 failed (up from 2314; two new tests added). fmt + clippy clean on all touched files. * udpate prompts * Enhance AgentBuilder and runtime with event context and interactive CLI improvements - Added `event_context` method to `AgentBuilder` for setting `session_id` and `channel` for `DomainEvent`s, improving event tagging and correlation. - Updated `run_interactive` method in `Agent` to dispatch messages through `run_single`, ensuring consistent lifecycle event handling and error sanitization for interactive turns. * Optimize configuration handling in AgentBuilder by lazily creating Arc for full config in reflection hook. This change reduces unnecessary cloning when learning is enabled, improving performance. * Add fork-mode test for sub-agent spawning in agent - Introduced a new test, `turn_dispatches_spawn_subagent_in_fork_mode`, to validate the behavior of the agent when spawning a sub-agent in fork mode. - The test ensures that the parent agent correctly processes the sub-agent's output and maintains the expected response sequence. - Enhanced the test setup with a mock provider and memory configuration to simulate the agent's environment effectively. * Refactor sync RPC handling in skills to treat missing onSync as no-op - Updated the `handle_sync` function to log a debug message and return a no-op response when a skill does not implement the `onSync` handler, preventing unnecessary RPC errors for skills that do not require periodic syncs. - This change improves logging clarity and reduces error noise in logs and dashboards for skills that are not designed to handle sync operations. |
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Steven EnamakelandGitHub
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3d17bfb23d |
Refactor core cross-domain flows onto event bus (#468)
* Refactor core cross-domain flows onto event bus * feat(agent): enhance error handling and message processing - Introduced a new constant for maximum error message length in the Agent. - Added methods for comparing conversation messages and determining new entries for turns. - Implemented a function to sanitize error messages, improving clarity and consistency in error reporting. - Updated the `run_single` method to utilize the new error handling and message processing logic, ensuring better tracking of conversation history and error states. * feat(supervision): initialize global event bus and register health subscriber - Added initialization of the global event bus with default capacity to ensure channel health events have a live bus and subscriber target. - Registered a health subscriber to enhance monitoring capabilities within the supervised listener context. |
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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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30eec2ad88 |
docs: comprehensive documentation for core Rust modules (#470)
* feat(core): enhance RPC controller and dispatch logic - Added comprehensive documentation for the core RPC controller and dispatch modules, detailing their purpose and functionality. - Introduced new functions for managing registered controllers and schemas, including validation and invocation methods. - Improved the structure of the `RpcOutcome` type to standardize response formats across domain-specific handlers. - Enhanced the local AI operations module with additional functionalities for agent interactions, model management, and audio processing. - Updated the dispatcher to better route RPC calls to their respective handlers, ensuring a more robust and maintainable architecture. These changes improve the clarity and usability of the RPC system, facilitating easier integration and interaction with various components of the OpenHuman platform. * docs: comprehensive documentation for core Rust modules * chore(dependencies): update OpenHuman to version 0.52.0 in Cargo.lock and add knip dependency in package.json |
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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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d66ee0d4de |
feat: consolidate overlay into desktop app and add compact orb demo (#450)
* feat(overlay): implement overlay window functionality and related RPC integration - Added a new OverlayApp component to handle overlay-specific UI and functionality. - Introduced an overlay window configuration in tauri.conf.json, allowing for a transparent, always-on-top overlay. - Implemented parent RPC communication for the overlay to interact with the main application. - Updated main.tsx to conditionally render the OverlayApp based on the current window context. - Enhanced CSS styles to support the overlay's visual requirements. This commit establishes the foundation for overlay functionality, improving user experience with a dedicated interface for specific tasks. * refactor(overlay): remove overlay functionality and related configurations - Deleted the overlay module and its associated files, including process management and configuration settings. - Removed environment variable checks and overlay-related logic from the core process and configuration schema. - Updated documentation to reflect the removal of overlay features, simplifying the codebase and improving maintainability. This commit streamlines the application by eliminating unused overlay components, enhancing overall performance. * feat(overlay): enhance overlay bubble functionality and styling - Added a new CSS animation for overlay bubble appearance, improving visual feedback. - Introduced an OverlayBubble interface to manage bubble properties such as tone and text. - Updated OverlayApp component to include a new OverlayBubbleChip for displaying messages with dynamic styling based on tone. - Adjusted overlay window dimensions in tauri.conf.json for a more compact design. This commit improves the user experience by providing visually distinct overlay messages and a refined interface. * feat(rotating-tetrahedron): add inverted color support and refactor canvas component - Introduced an optional `inverted` prop to the `RotatingTetrahedronCanvas` component, allowing for dynamic color changes based on the prop value. - Updated fill and edge materials to reflect the inverted state, enhancing visual customization. - Refactored the component to improve readability and maintainability by utilizing the new prop in the rendering logic. - Adjusted the effect dependencies to include the `inverted` prop for proper reactivity. This commit enhances the user experience by providing a more flexible and visually appealing tetrahedron display. * fix(rotating-tetrahedron): adjust opacity and emissive intensity for inverted colors - Updated the opacity of the fill material in the RotatingTetrahedronCanvas component to enhance visual clarity when the inverted prop is true. - Reduced the emissive intensity for the inverted state to improve the overall appearance of the tetrahedron. This commit refines the visual representation of the rotating tetrahedron, ensuring better contrast and aesthetics based on user preferences. * feat(rotating-tetrahedron): enhance dynamic color handling and performance - Implemented useRef hooks for fill and edge materials in the RotatingTetrahedronCanvas component to optimize rendering performance. - Updated the useEffect hook to adjust material properties based on the inverted state, improving visual consistency. - Refactored animation speed handling to utilize a reference for smoother updates. - Cleaned up resource management by ensuring materials are disposed of correctly when the component unmounts. This commit enhances the visual fidelity and performance of the rotating tetrahedron, providing a more responsive and visually appealing experience. * fix(overlay): adjust bubble alignment and overlay positioning - Changed the text alignment of the OverlayBubbleChip component from left to right for improved readability. - Updated the vertical positioning logic in the Tauri overlay to account for a right margin, ensuring consistent placement of the overlay window. These adjustments enhance the visual presentation and positioning of overlay elements, contributing to a better user experience. * fix(overlay): update overlay dimensions and bubble styling - Adjusted the overlay dimensions for a more refined appearance. - Modified the bubble tone classes for improved color consistency and readability. - Enhanced the text size and line height in the OverlayBubbleChip component for better visual clarity. - Updated the orb button size and styling to enhance user interaction. These changes contribute to a more polished and user-friendly overlay experience. * feat(overlay): enhance overlay scenario handling and text display - Introduced a new scenario management system in the OverlayApp component, allowing for dynamic cycling between different overlay states. - Added a new text display feature for scenario two, providing real-time feedback as the text is typed out. - Refactored the bubble rendering logic to accommodate the new scenario structure, improving the overall user interaction experience. These changes enhance the functionality and interactivity of the overlay, making it more engaging for users. * fix(overlay): reorder demo scenarios * fix(overlay): update overlay dimensions and improve text display logic - Adjusted overlay dimensions for better visual consistency. - Enhanced text display in OverlayBubbleChip to show text progressively based on bubble content. - Refactored the handling of scenario text in OverlayApp to streamline the display logic. These changes contribute to a more polished and engaging user experience in the overlay. * refactor(overlay): simplify type parameters in RPC functions - Removed unnecessary generic type parameter from `unwrapCliCompatibleJson` and `callParentCoreRpc` functions for improved clarity and conciseness. - These changes enhance code readability and maintainability without altering functionality. |
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0b23ae6b96 |
fix(voice): resolve dictation pipeline in embedded Tauri app (#466)
* fix(voice): guard dictation_listener when voice_server is active macOS only supports one rdev::listen() global event tap per process. When voice_server.auto_start is true, skip starting the separate dictation_listener — the voice server owns the single listener and forwards hotkey events itself. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(voice): add TRANSCRIPTION_BUS broadcast channel Make publish_dictation_event public so the voice server can forward hotkey events. Add a new TRANSCRIPTION_BUS broadcast channel with subscribe_transcription_results() and publish_transcription() for delivering completed transcriptions to frontend clients via Socket.IO. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(voice): forward hotkey events and route transcription delivery In the voice server's hotkey handler, forward events to the dictation bus so Socket.IO clients receive dictation:toggle even without the separate dictation_listener running. In process_recording_bg, detect when the OpenHuman app is focused and deliver transcription via Socket.IO instead of OS-level Cmd+V paste, preventing text from disappearing into the unfocused WebView. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(voice): bridge transcription results to Socket.IO Subscribe to TRANSCRIPTION_BUS and emit dictation:transcription events to all connected Socket.IO clients. This completes the Rust-side pipeline for delivering transcribed text to the frontend. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(socket): queue listeners registered before socket connects Add a pendingListeners queue to socketService so that on()/once() calls made before the socket is established are replayed once the connection opens, preventing silently dropped event listeners. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(voice): use dedicated unauthenticated socket for dictation events Replace the auth-gated socketService dependency with a direct Socket.IO connection to the core process (127.0.0.1:7788). This bypasses the SocketProvider auth requirement and ensures dictation:toggle and dictation:transcription events are received regardless of login state. Dispatches the existing dictation://insert-text DOM event to bridge transcribed text into the Conversations chat input. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(voice): fallback to default audio config when preferred config fails macOS may advertise a 16kHz F32 config as supported but reject it at stream creation time (known cpal quirk). Add a fallback path that retries with the device's default_input_config(), handling F32, I16, and U16 sample formats with proper resampling. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(voice): add 3s timeout on Ollama LLM cleanup Wrap the Ollama inference call in a 3-second tokio::time::timeout so dictation feels responsive. If cleanup doesn't complete in time, fall back to raw Whisper text immediately instead of blocking for 2+ minutes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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f0118ab674 |
fix(autocomplete): graceful shutdown on app exit (#460)
* fix(autocomplete): graceful shutdown on app exit Stop the autocomplete engine and quit the Swift overlay helper process when the core receives a shutdown signal, preventing orphan processes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(core): extract shutdown logic into generic facility Move domain-specific autocomplete cleanup out of the jsonrpc adapter into a new `core::shutdown` module with a hook registry. Adds SIGTERM handling alongside SIGINT via `tokio::select!` on Unix platforms. Addresses CodeRabbit review feedback on PR #460: - jsonrpc.rs stays transport-only (no domain logic) - Process responds to both SIGINT and SIGTERM gracefully Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(autocomplete): suppress duplicate error notifications and auto-stop after repeated failures The autocomplete polling loop was showing an error notification badge on every single refresh cycle when a dependency was unavailable (e.g. Ollama not running, macOS Automation permission denied). This caused floods of identical macOS notifications. Changes: - Track last notified error message; skip badge if identical to previous - Count consecutive errors; auto-stop engine after 5 failures with a clear log message, preventing endless notification spam - Reset counters on successful refresh or engine restart Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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9764a875e8 |
fix(subconscious): seed defaults into per-user workspace + fix Intelligence page stale log (#462)
* fix(subconscious): seed defaults and spawn heartbeat on startup The subconscious engine was only constructed lazily on the first engine-routed RPC (trigger, tasks_add, status). Because handle_tasks_list bypasses the engine and reads the store directly, a fresh install showed an empty Subconscious panel until the user clicked "Run now", even though SubconsciousEngine::new() seeds the 3 default system tasks on construction. Separately, HeartbeatEngine::run() — the periodic tick loop — was never spawned in production code. The only callers of HeartbeatEngine were tests, so ticks never fired automatically; users had to trigger each evaluation manually. Both issues are fixed together in run_server_inner, following the existing start_if_enabled pattern used by voice, screen_intelligence, and autocomplete: 1. Call get_or_init_engine() at startup to construct the SubconsciousEngine eagerly, which runs seed_default_tasks via from_heartbeat_config. Construction is idempotent via OnceLock; seeding is idempotent by title match, so repeat startups do not duplicate the defaults. 2. Construct HeartbeatEngine with the heartbeat config and workspace_dir, then tokio::spawn heartbeat.run() so the periodic tick loop runs for the process lifetime. The loop re-acquires the shared engine via get_or_init_engine() on each tick. Guarded by config.heartbeat.enabled so users who disable the heartbeat get neither startup seeding nor the background loop. Add engine_construction_seeds_default_tasks integration test that locks in the invariant: constructing SubconsciousEngine on a fresh workspace_dir must leave the 3 default system tasks in the store, with no tick, trigger, or explicit seed call. Also asserts that reconstructing the engine on the same workspace does not duplicate the defaults. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(subconscious): defer engine bootstrap until after login Default system tasks seeded at sidecar startup into the pre-login global workspace (`~/.openhuman/workspace/`) instead of the per-user workspace (`~/.openhuman/users/<id>/workspace/`) the UI reads from after login. The engine singleton is built lazily via `get_or_init_engine()` and cached in a `OnceLock`. `Config::load_or_init` resolves `workspace_dir` from `active_user.toml` — which does not exist until after login. When the engine was constructed on startup it therefore seeded into the global default, then the frozen singleton kept pointing at that path for the rest of the session while RPC handlers like `tasks_list` re-loaded config per call and read from the correct per-user path, silently returning an empty list. Fix: - `subconscious/global.rs`: add `bootstrap_after_login()` (idempotent via `BOOTSTRAPPED: AtomicBool`) which builds the engine against the now-correct per-user workspace and spawns the heartbeat loop. Track the heartbeat `JoinHandle` in a static so it can be aborted cleanly. Add `reset_engine_for_user_switch()` that aborts the heartbeat, clears the engine option, and resets the bootstrap flag. - `core/jsonrpc.rs`: replace the unconditional eager init on startup with a conditional one that only bootstraps if `active_user.toml` already exists (so a user logged in from a previous session still gets the engine up immediately after restart). - `credentials/ops.rs`: call `bootstrap_after_login()` at the end of `verify_and_store_session` so a fresh login triggers seeding against the per-user workspace. Call `reset_engine_for_user_switch()` in `clear_session` so logout tears down the engine + heartbeat loop and a subsequent login rebuilds them against the new user. Verified locally: sidecar restart with no `active_user.toml` logs "bootstrap deferred — waiting for login"; post-login logs "seeded 3 tasks on init" + "heartbeat periodic loop spawned"; and `subconscious.tasks_list` returns the 3 system defaults from the per-user DB. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(subconscious): bound config load + guard frontend poll Two related fixes for the Intelligence page freezing on a stale subconscious activity-log snapshot while ticks kept progressing in the sidecar. Root cause (backend): the subconscious RPC handlers were the only outlier in the entire JSON-RPC surface that called the raw `Config::load_or_init()` instead of the shared `load_config_with_timeout()` wrapper that every other domain schemas.rs uses (cron, webhooks, voice, team, skills, service, referral, doctor, …). `load_or_init` constructs a fresh `SecretStore` and runs a chain of `decrypt_optional_secret` calls on every invocation, which may IPC to the OS keychain — slow, unbounded, no caching. Under the Intelligence page's 3-second poll (4 parallel RPCs × ~7 keychain round-trips each = ~28 keychain calls every 3s), this pileup was enough to pin the frontend's `Promise.all` past the poll interval. Root cause (frontend): `useSubconscious.refresh()` uses `fetchingRef` as an in-flight guard. The ref is only cleared inside the `finally` block that runs after `Promise.all` settles. With no per-RPC timeout on the client side either, a single slow backend call would leave the ref stuck `true`, and every subsequent 3s `setInterval` tick would silently early-return at the top of `refresh`. The poller kept firing, but every call was a no-op — so the UI froze on whatever snapshot it last successfully fetched, even though the backend was still ticking through new decisions. Backend fix (`src/openhuman/subconscious/schemas.rs`): - Replace the local `load_config()` helper body to delegate to `crate::openhuman::config::load_config_with_timeout()`. Matches the 28 other domain schemas.rs files and brings subconscious handlers under the same 30s bound used everywhere else. Frontend fix (`app/src/hooks/useSubconscious.ts`): - Add a `withTimeout` helper (2.5s per-RPC, strictly less than the 3s poll interval) that races each of the 4 parallel RPCs against a timeout and resolves `null` on timeout — matching the existing `.catch(() => null)` contract so downstream setState logic is unchanged. - Clear `fetchingRef.current = false` in the useEffect cleanup so a late-returning request or a React Strict Mode double-mount in dev can't leave the ref stuck `true` for the next mount. Defense in depth: the backend bound prevents a permanent hang and matches repo conventions, while the frontend bound guarantees the 3s poll loop can never be pinned beyond one tick regardless of server-side latency. Verified locally — `cargo check` clean, `tsc --noEmit` clean, all 18 pre-existing warnings in unrelated modules. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style(jsonrpc): cargo fmt the startup bootstrap block CI ran `cargo fmt --all -- --check` and flagged the conditional bootstrap block in `run_server_inner` — `let already_logged_in` should fold onto one line, the `.and_then` closure body should inline, the `match ... .await` chain should fold, and the short log!() calls should not break across lines. No behavior change. Fixes three jobs on PR #462 that were all failing at the same `cargo fmt --all -- --check` step (Rust Quality, Rust Tests, Type Check TypeScript — the last one chains cargo fmt after its prettier check). 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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0f578382d1 |
fix(autocomplete): auto-start engine when config enabled (#412) (#442)
* fix(autocomplete): add start_if_enabled for engine auto-start at boot (#412) The autocomplete engine was never started automatically when config had autocomplete.enabled = true. Add start_if_enabled() that checks config and starts the global engine singleton during core process startup. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(autocomplete): wire engine startup into core server init (#412) Call start_if_enabled() after config load in the JSON-RPC server so the autocomplete engine runs automatically when the core process boots with autocomplete enabled. Remove stale E2E test assertions that conflicted with the new startup path. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(autocomplete): auto-start engine when enabled via set_style RPC (#412) When the frontend enables autocomplete through set_style(enabled=true), automatically start the engine so suggestions begin immediately without requiring a separate start call or app restart. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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Mega MindandGitHub
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371bcd34ea |
Feat/chat issue (#441)
* feat: display app version in settings panel * fix(onboarding): auto-refresh accessibility state after grant (#351) * style(onboarding): apply formatter for issue #351 fix * fix(onboarding): ESLint + typed mock for ScreenPermissionsStep; clear flag in handler Consolidate tauriCommands imports and drop redundant mock cast. Handle granted accessibility in focus/visibility callback instead of a follow-up effect. Made-with: Cursor * feat(env): add support for custom dotenv path and update dependencies - Introduced an optional environment variable `OPENHUMAN_DOTENV_PATH` to specify a custom path for dotenv files, enhancing configuration flexibility. - Updated `Cargo.toml` to include the `dotenvy` dependency for improved dotenv file handling. - Enhanced the `.env.example` file with a new comment for the custom dotenv path. - Added data-testid attributes and button types in `SkillDebugModal` and `Skills` components for better testability. - Created new tests for Gmail and Notion third-party skills to ensure proper functionality of sync and debug tools. - Added documentation for memory sync functions to clarify usage patterns and function details. * fix: address CodeRabbit review on PR #441 - Dotenv: treat empty OPENHUMAN_DOTENV_PATH as unset; propagate from_path errors - Document OPENHUMAN_DOTENV_PATH parent-env requirement in .env.example - Memory docs: MD040 fence language; clarify skill namespace vs integration id - QuickJS bootstrap: modern helpers, generic platform.notify log, template URLs - Skills UI: type=button on close/settings; async waitFor in sync tests - Gmail OAuth e2e: workspace env matches MemoryClient; env/engine drop guards; redact secrets from logs - Add replace_global_engine for test teardown Made-with: Cursor |
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YellowSnnowmannandGitHub
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90fac95d7a |
Fix: telegram replies (#436)
* feat(config): enhance world-readable config warning mechanism - Introduced a new static variable to track previously warned world-readable config files, preventing duplicate warnings. - Updated the warning logic to only log a warning for each unique world-readable config file, improving log clarity and reducing noise. - Added new `ChannelReactionReceived` and `ChannelReactionSent` events to the DomainEvent enum, expanding event handling capabilities in the event bus. - Included tests for the new reaction events to ensure proper functionality and integration. * feat(logging): add log file constraints and event filtering - Introduced functions to parse log file constraints from environment variables and filter log events based on these constraints. - Enhanced the `init_for_cli_run` function to apply the new filtering logic, improving log management and clarity. - Updated the `conversation_history_key` function to include thread context for Telegram, ensuring accurate message targeting. - Added a new trait method `supports_reactions` to the `Channel` trait, indicating support for emoji reactions. - Implemented integration tests for Telegram channel features, including reaction handling and thread message forwarding. * feat(telegram): enhance message handling with reactions and typing indicators - Added support for emoji reactions in Telegram responses, allowing for contextual acknowledgment of user messages. - Implemented a decision heuristic for when to use reactions, improving user interaction quality. - Introduced a typing indicator that activates immediately upon receiving a message, providing instant feedback to users. - Updated the channel delivery instructions to include new reaction syntax and guidelines for usage. - Enhanced tests to cover new reaction handling and message acknowledgment features, ensuring robust functionality. * fix(tests): update route key for Telegram message handling tests - Changed the route key in tests from `telegram_alice` to `telegram_alice_chat-1` to match the updated `conversation_history_key` format for Telegram. - This adjustment ensures accurate routing and consistency in message handling tests. * refactor(tests): streamline message handling in runtime tool calls - Refactored the message handling tests to utilize a `ChannelMessage` struct for improved clarity and maintainability. - Updated the route key generation to use the `conversation_history_key` function, ensuring consistency in message routing. - Simplified the invocation of `process_channel_message` by directly passing the constructed message, enhancing readability. * fix(telegram): enhance finalize_draft method to support thread context - Updated the `finalize_draft` method in the `Channel` trait and its implementation for `TelegramChannel` to accept an optional `thread_ts` parameter, allowing for message threading. - Adjusted related message handling functions to utilize the new parameter, ensuring proper message context during sending. - Modified tests to reflect changes in the `finalize_draft` method signature, enhancing the robustness of message handling in threaded conversations. * refactor(tests): ran format |
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YellowSnnowmannandGitHub
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45a821645a |
feat(refer) : Implement referral system with UI components and API integration (#430)
* Implement referral system with UI components and API integration - Added to document the referral system, including reward structure, rules, data model, migration, core services, and API endpoints. - Created component to display referral stats and allow users to apply referral codes. - Integrated referral functionality into the onboarding process with for applying referral codes. - Updated page to include the new . - Implemented API calls in for fetching referral stats and applying referral codes. - Added tests for the referral API to ensure proper functionality and data normalization. - Introduced device fingerprinting for referral code application to prevent abuse. This commit establishes a comprehensive referral system, enhancing user engagement and incentivizing referrals. * Update OLLAMA_BASE_URL to local development address * Enhance referral system and onboarding process - Added a new function to format reward rates from basis points to percentage for better display in the ReferralRewardsSection. - Improved loading state management in the referral stats loading process to prevent race conditions. - Updated the Onboarding component to handle referral step skipping more effectively, ensuring a smoother user experience. - Fixed a typo in the WelcomeStep component's button label for clarity. - Enhanced error handling in the referral API to provide clearer feedback on failures. These changes improve the usability and reliability of the referral system and onboarding experience. |
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Steven EnamakelandGitHub
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4ee518cf31 |
feat(tree-summarizer): hierarchical summary tree module with CLI (#423)
* feat(tree-summarizer): implement hierarchical summarization engine and event handling - Introduced a new `tree_summarizer` module to manage hierarchical time-based summaries, organizing data into a tree structure (root → year → month → day → hour). - Added functionality to ingest raw content, summarize it into hour leaves, and propagate summaries upward through the tree. - Implemented event handling for summarization completion and tree rebuild events, enhancing observability and modularity. - Created RPC operations for ingesting content, triggering summarization, querying the tree, and retrieving tree status. - Added comprehensive tests to ensure the reliability of the summarization process and event handling. This update significantly enhances the summarization capabilities of the system, allowing for efficient data organization and retrieval. * feat(tree-summarizer): add CLI support for tree summarization commands - Introduced a new `tree-summarizer` command to the CLI, allowing users to ingest content, run summarization jobs, query the summary tree, check status, and rebuild the tree. - Updated the CLI help documentation to include the new command and its subcommands. - Added a new module `tree_summarizer_cli` to encapsulate the tree summarization functionality. This enhancement improves the usability of the summarization features, providing a streamlined interface for managing hierarchical summaries directly from the command line. * style: apply cargo fmt to tree_summarizer module * feat(tree-summarizer): implement TreeSummarizerEventSubscriber for observability logging - Added a new `TreeSummarizerEventSubscriber` to log events related to tree summarization, enhancing observability. - Updated the `start_channels` function to register the new subscriber. - Refactored the `run_summarization` function to group buffered entries by hour and publish events upon completion of summarization. - Improved documentation and added tests for the new subscriber functionality. This update aims to provide better insights into the summarization process and facilitate future cross-module workflows. * refactor(tree_summarizer): streamline buffer backup and function signature - Simplified the buffer backup process by consolidating the rename operation with context handling for better error reporting. - Cleaned up the function signature of `derive_node_ids_from_hour_id` for improved readability. These changes enhance code clarity and maintainability within the tree summarization engine. * feat(tree_summarizer): enhance tree summarization with metadata support - Updated the `tree_summarizer_ingest` function to accept an optional metadata parameter, allowing users to include additional context during content ingestion. - Refactored related functions to validate and handle metadata, improving the overall robustness of the summarization process. - Adjusted the buffer write functionality to store metadata alongside content, enhancing the data structure for future retrieval and processing. These changes aim to enrich the summarization capabilities and provide more context for ingested content. * refactor(tree_summarizer): improve error message formatting in node ID validation - Enhanced the formatting of error messages in the `validate_node_id` function for better readability and consistency. - Adjusted the string formatting to use multi-line syntax, improving clarity in error reporting. - Minor formatting changes in the `strip_buffer_frontmatter` function to enhance code readability. These changes aim to improve the maintainability and clarity of error handling within the tree summarization module. * refactor(tree_summarizer): enhance buffer management and summarization process - Replaced the buffer draining mechanism with a non-destructive read approach, allowing for safer data handling during summarization. - Introduced a new `buffer_delete` function to explicitly manage the deletion of buffer entries after successful processing. - Updated the `run_summarization` function to reflect these changes, ensuring that buffer entries are only deleted after durable writes are confirmed. - Improved the backup process for the buffer directory during tree rebuilds, ensuring it is preserved outside the tree structure. These modifications aim to improve data integrity and clarity in the summarization workflow. * refactor(tree_summarizer): improve markdown parsing and timestamp handling - Updated the `parse_node_markdown` function to trim trailing whitespace from the body after splitting frontmatter, enhancing data cleanliness. - Modified test cases to use specific timestamps instead of the current time, ensuring consistent and predictable test results. - Adjusted assertions in tests to reflect the new timestamp-based ordering of entries. These changes aim to improve the robustness of markdown parsing and the reliability of test outcomes in the tree summarization module. |
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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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YellowSnnowmannandGitHub
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fb8987bcad |
Improve inline autocomplete reliability, sanitization, and debug logging (#407)
* Enhance autocomplete functionality and logging. Increased debounce time for autocomplete suggestions and added minimum context character requirement. Improved inline suggestion handling with new cleanup logic for tab acceptance. Introduced a new logging option for autocomplete-only logs in CLI. Updated various components to support these changes, including sanitization and error handling in the autocomplete engine. * Add autocomplete CLI adapter for improved argument handling This commit introduces a new module, , which encapsulates the argument parsing and logging logic specific to the autocomplete namespace in the CLI. Key features include extraction of leading verbose flags, handling of the flag, and improved help message printing. The existing CLI command handling has been refactored to utilize this new adapter, enhancing code organization and maintainability. * Refactor inline completion sanitization and enhance context handling |
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Steven EnamakelandGitHub
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4afa751024 |
feat(memory): global singleton, CLI, graph extraction fixes & light storage (#383)
* feat(memory): add CLI support for memory commands - Introduced a new `memory` subcommand in the CLI for memory ingestion, graph inspection, and debugging. - Implemented various subcommands including `ingest`, `docs`, `graph`, `query`, and `namespaces` for comprehensive memory management. - Updated the CLI entry point to route the `memory` command appropriately, enhancing the command-line interface functionality. * refactor(memory_cli): streamline memory command ingestion and improve error handling - Simplified the ingestion process by removing unnecessary workspace directory creation and embedding logic. - Updated the ingestion function to utilize the `create_memory_client` for better client management. - Changed the limit parameter type from `usize` to `u32` for consistency and improved error handling in command arguments. - Enhanced logging for ingestion start to focus on model name only, removing redundant extraction mode information. * refactor(memory): implement global memory client singleton for improved resource management - Introduced a new `global.rs` module to manage a process-global memory client singleton, ensuring consistent access across subsystems. - Updated `create_memory_client` to utilize the global client, enhancing memory management and reducing resource contention. - Refactored various modules to replace local memory client instances with the global singleton, improving performance and reliability. - Adjusted CLI and screen intelligence components to leverage the global memory client for document persistence and ingestion operations. This refactor enhances the architecture by centralizing memory client management, leading to better resource utilization and simplified code structure. * feat(memory): add put_doc_light for screen-intelligence, skip vectors/graph Screen-intelligence captures are too frequent and ephemeral to justify vector embedding and GLiNER graph extraction per frame. Adds a lightweight storage path (put_doc_light) that persists the document row and markdown file without chunking, embedding, or graph extraction. Three-tier storage: - put_doc_light: DB + markdown only (screen-intelligence) - put_doc: DB + markdown + vectors + background graph (skill sync) - ingest_doc: full synchronous pipeline (CLI, debugging) * style: apply cargo fmt formatting * fix: add missing window_id field in AppContext test helper * fix(test): fall back to per-call MemoryClient when global not initialized In tests with isolated OPENHUMAN_WORKSPACE, the process-global singleton may not be initialized or may point at the wrong directory. Fall back to creating a client from Config (which respects env vars) when the global is not ready. * fix(test): use per-call MemoryClient for screen-intelligence persistence put_doc_light does no background work (no vectors, no graph), so a per-call client created from Config is safe and avoids the global singleton which may point at a different workspace in test suites. |
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a98817917c |
feat(screen-intelligence): standalone server with OCR + vision pipeline (#382)
* feat(screen-intelligence): add new commands for diagnostics and vision processing - Introduced `doctor` command for system readiness diagnostics, checking permissions and platform support. - Added `vision` command to analyze frames and persist vision summaries. - Updated CLI usage documentation to reflect new command options and improved verbosity handling. - Enhanced the `run_server` function to provide detailed endpoint information for better user guidance. This update improves the functionality and usability of the screen intelligence CLI, enabling better diagnostics and vision processing capabilities. * feat(screen-intelligence): update CLI endpoints for status monitoring - Added `tower-http` dependency for enhanced HTTP capabilities. - Updated endpoint documentation in `run_server` to reflect changes from SSE to long-polling for status updates. - Renamed `/events` endpoint to `/watch` with a query parameter for interval control, improving clarity and usability. This update enhances the screen intelligence CLI by providing more flexible status monitoring options. * feat(screen-intelligence): integrate standalone server for screen intelligence - Added a new `server` module to handle the standalone screen intelligence server functionality. - Updated CLI commands to include an `--auto-start` option for initiating capture sessions on server boot. - Enhanced the `run_server` function to provide detailed endpoint information and improved logging for server status. - Integrated the screen intelligence engine with JSON-RPC and REST endpoints for better debugging and usability. This update significantly enhances the screen intelligence capabilities by allowing it to run independently and providing more flexible configuration options. * refactor(screen-intelligence): simplify CLI options and server configuration - Removed the `--port` and `--auto-start` options from the CLI for the `screen-intelligence run` command, streamlining the command usage. - Updated the server configuration to focus on session duration and logging, enhancing clarity and usability. - Adjusted the documentation to reflect the new command structure and improved logging details for the screen intelligence server. This refactor improves the user experience by simplifying command options and enhancing the clarity of server operations. * feat(screen-intelligence): enhance screenshot management and CLI options - Updated the CLI usage documentation to include the new `--keep` option for retaining screenshots after processing. - Modified the server configuration to support the `keep_screenshots` flag, allowing for immediate saving of screenshots to disk. - Enhanced the `run_server` function to reflect the updated configuration and logging details regarding screenshot retention. - Improved the capture logic to prioritize window ID for more reliable screenshot capturing on macOS. These changes improve the usability and functionality of the screen intelligence feature by providing better control over screenshot management. * refactor(accessibility): improve capture logic and window ID handling - Updated the capture mode logic to prioritize reliable window ID capture on macOS, falling back to fullscreen capture to avoid issues with region-based capture. - Refactored the method for resolving the frontmost window ID to utilize Swift for better performance and reliability, replacing the previous JavaScript-based approach. - Enhanced the frame processing in the accessibility engine to track processed timestamps, preventing re-analysis of the same screenshot and improving efficiency. - Adjusted the vision summary parsing to support both JSON and plain text formats, ensuring better compatibility and usability. These changes enhance the reliability and performance of the accessibility features, particularly in macOS environments. * feat(accessibility): integrate Apple Vision OCR and enhance LLM context analysis - Implemented Apple Vision OCR for extracting text from screenshots, improving accuracy and reducing hallucination. - Refactored the vision processing flow to include structured prompts for LLM context analysis, enhancing the quality of the output summary. - Updated the vision summary structure to include detailed fields such as APP, DOING, FOCUS, and MOOD, providing clearer insights into the captured content. - Improved error handling and logging for image processing and OCR operations, ensuring better reliability and debugging capabilities. These changes significantly enhance the accessibility engine's ability to analyze and summarize screen content effectively. * refactor(screen-intelligence): enhance capture logic and summary structure - Improved capture mode handling to prioritize window ID availability, with a fallback to bounds-based capture before defaulting to fullscreen. - Updated the vision summary structure to clearly separate synthesized summaries, visual context, and raw OCR text for better clarity and usability. - Enhanced logging to provide more informative output during capture operations, aiding in debugging and performance monitoring. These changes improve the reliability and clarity of the screen intelligence features, particularly in managing capture contexts and summarizing visual information. * refactor(accessibility): enhance capture logic to reject fullscreen fallback - Updated the screen capture logic to prevent falling back to fullscreen mode when no valid window ID or bounds are available, improving privacy and user intent. - Added detailed logging for cases where fullscreen capture is refused, aiding in debugging and understanding capture decisions. - Introduced tests to ensure that the new logic correctly rejects fullscreen capture under invalid conditions, enhancing reliability. These changes improve the accessibility engine's handling of screen captures, ensuring that only relevant content is captured. * feat(screen-intelligence): implement capture and processing workers for enhanced vision analysis - Introduced a dedicated `capture_worker` to manage screenshot capturing from the foreground context, ensuring efficient frame handling and immediate saving of screenshots when configured. - Added a `processing_worker` to analyze captured frames using Apple Vision OCR and LLM, synthesizing insights and persisting results to unified memory. - Refactored the `AccessibilityEngine` to integrate these workers, improving the overall architecture and separation of concerns in the screen intelligence module. - Enhanced logging throughout the capture and processing workflows for better debugging and performance monitoring. These changes significantly improve the screen intelligence capabilities by enabling real-time capture and analysis of visual data, enhancing user experience and functionality. * Merge remote-tracking branch 'upstream/main' into fix/screen-intgellignce-2 * refactor(screen-intelligence): improve type handling and visibility in capture and processing modules - Updated the calculation of baseline milliseconds in `capture_worker` to ensure proper type handling with floating-point division. - Made several fields in `SessionRuntime` and `EngineState` public for better accessibility within the crate. - Changed the visibility of the `analyze_frame` function in `processing_worker` to public within the crate, allowing it to be called from `engine.rs`. These changes enhance type safety and improve the modularity of the screen intelligence components, facilitating better integration and usage across the codebase. * refactor(screen-intelligence): update visibility and helper function usage in engine and processing modules - Changed the `SessionRuntime` struct to be public within the crate, enhancing accessibility. - Updated the `analyze_frame` function parameter to use a reference instead of a direct reference to the `AccessibilityEngine`, improving clarity. - Refactored calls to `persist_vision_summary` to utilize the helper function from the `super::helpers` module, promoting better organization and code reuse. These changes streamline the code structure and improve the modularity of the screen intelligence components. * feat(screen-intelligence): introduce input handling and autocomplete features - Added a new `input.rs` module to manage input actions, including keyboard/mouse automation and predictive text functionalities. - Implemented methods for handling input actions, generating autocomplete suggestions, and committing selected suggestions within the `AccessibilityEngine`. - Created a `state.rs` module to encapsulate engine state management, including session runtime and engine state structures. - Enhanced the `engine.rs` module to support session lifecycle management and integrate new input functionalities. - Introduced a `vision.rs` module for vision-related query methods, improving the overall architecture and modularity of the screen intelligence components. These changes significantly enhance user interaction capabilities and streamline the management of input actions and vision processing. * fix(screen-intelligence): update worker imports to use state module Workers imported AccessibilityEngine from engine.rs but it was moved to state.rs during the refactor. Fix the import paths. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(screen-intelligence): clean up formatting and improve readability in various modules - Reformatted print statements in `screen_intelligence_cli.rs` for better readability. - Simplified assertions in tests within `capture.rs` to enhance clarity. - Streamlined function definitions and calls in `focus.rs`, `engine.rs`, and `processing_worker.rs` for improved code organization. - Updated import statements in `mod.rs` and `server.rs` to maintain consistency and clarity. These changes enhance the overall readability and maintainability of the codebase, promoting better coding practices across the screen intelligence components. * refactor(screen-intelligence): update import paths for AccessibilityEngine and EngineState - Changed the import statements in `tests.rs` to source `AccessibilityEngine` and `EngineState` from the `state` module instead of the `engine` module. - This adjustment aligns with recent refactoring efforts to improve module organization and maintainability. These changes enhance code clarity and ensure consistency in module usage across the screen intelligence components. * fix(screen-intelligence): fix test compilation and assertions - Update test imports from engine to state module - Add mock env var path to processing_worker::analyze_frame for test support - Update parser tests for plain-text mode (non-JSON fallback) - Handle missing window_id gracefully in capture_scheduler test Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(screen-intelligence): enhance code clarity and performance in various modules - Updated command-line usage documentation in `screen_intelligence_cli.rs` to reflect new options. - Improved string handling for truncation in `run_start_session` and `run_vision` functions to use character counts instead of byte lengths, ensuring accurate truncation for multi-byte characters. - Added intentional blocking sleep in `resolve_frontmost_window_id` to minimize impact on the Tokio runtime during app switches. - Implemented a consistent default confidence score in vision processing and improved YAML escaping in `persist_vision_summary`. - Refactored session management in `capture_worker` and `engine` modules to reduce lock contention and improve performance during I/O operations. These changes enhance the overall performance, maintainability, and user experience of the screen intelligence components. * fix(tests): update confidence assertion in vision summary test - Adjusted the expected confidence value in the `parse_vision_missing_fields` test to reflect the new default confidence score of 0.8, ensuring consistency across JSON and plain-text branches. This change improves the accuracy of the test and aligns it with recent updates in the vision processing logic. * refactor(screen-intelligence): improve code formatting and readability in various modules - Enhanced string formatting for truncation in `run_vision` to improve clarity. - Reformatted variable declarations in `capture_worker` for better readability. - Updated YAML escaping logic in `helpers.rs` for consistency and clarity. These changes contribute to improved maintainability and readability of the codebase. * refactor(screen-intelligence): reorganize analyze_frame function for improved flow - Moved configuration validation to the beginning of the `analyze_frame` function to ensure proper setup before processing. - Reintroduced the Apple Vision OCR and Vision LLM steps in the correct order, enhancing the logical flow of the analysis process. These changes improve the readability and maintainability of the code, ensuring a clearer structure for future modifications. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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8627cee960 |
Feat/overlay (#378)
* feat(autocomplete): add overlay TTL configuration to AutocompletePanel - Introduced `overlay_ttl_ms` parameter to the Autocomplete configuration, allowing users to set the overlay display duration. - Updated AutocompletePanel to include a new input field for adjusting the overlay TTL in milliseconds. - Enhanced parsing and saving logic to handle the new configuration parameter. - Added corresponding tests to ensure functionality and validate the new overlay TTL feature. This update improves user control over the autocomplete overlay behavior, enhancing the overall user experience. * Refactor accessibility code for improved readability and consistency - Simplified log statements in `precompile_helper_background` for better clarity. - Reformatted `detect_input_monitoring_permission` check in `keys.rs` for enhanced readability. - Rearranged imports in `mod.rs` to maintain consistent structure. - Improved formatting of `ElementBounds` initialization across multiple test cases in `overlay.rs` and `types.rs` for better visual alignment. - Enhanced test context creation in `types.rs` for improved clarity. These changes enhance code maintainability and readability across the accessibility module. * fix(overlay): parent core RPC, voice toggle, and debug for #342 - Pass OPENHUMAN_OVERLAY_PARENT_RPC_URL from sidecar spawn and strip inherited OPENHUMAN_CORE_PORT so the overlay no longer fights for the parent listen port. - Overlay UI uses HTTP JSON-RPC to the parent sidecar for globe, debug, and voice STT so state matches the main app; add parentCoreRpc helper mirroring legacy method aliases. - Skip embedded JSON-RPC server when parent URL is set; use OPENHUMAN_OVERLAY_EMBEDDED_CORE_PORT (default 7799) for standalone dev. - Fix screen intelligence status method name; add voice_status polling, STT section, collapsible debug summary, and connection banner when core is unreachable. - Voice capture switch gates the mic with real STT availability from voice_status. Closes #342 Made-with: Cursor * fix: address CodeRabbit review on overlay/autocomplete (PR #378) - helper: correlate JSON-RPC replies with monotonic request ids; discard mismatched lines until deadline (fixes stale response after timeout). - helper: serialize Swift compile via HELPER_COMPILE_LOCK (precompile vs first use). - Overlay Tab hint: pass tab_hint from Rust from accept_with_tab; Swift hides hint when empty. - keys: re-check Input Monitoring on an interval when denied so grant without restart works. - engine: use non-zero confidence placeholder (0.75) until inline_complete returns scores. - overlay dedupe: suppress identical badge only within 400ms, not for process lifetime. Co-authored-by: Code review feedback <noreply@github.com> Made-with: Cursor * fix(ci): resolve clippy and warning issues for Rust gates - Use match on anchor_bounds in autocomplete overlay (avoid unnecessary unwrap) - Drop unused test imports in registry_ops and rpc dispatch - Prefix unused notion_doc_id in subconscious integration test Made-with: Cursor * fix(overlay): improve parent RPC URL handling in App component - Updated the useEffect hook to manage the parent RPC URL more robustly by introducing a mounted flag to prevent state updates on unmounted components. - Added error handling to set the parent RPC URL to null in case of invocation failure, enhancing the reliability of the component's behavior. * feat(overlay): implement timeout handling for parent core RPC requests - Introduced a default timeout for parent core RPC requests, enhancing reliability by preventing indefinite waiting for responses. - Added an AbortController to manage request timeouts, throwing a specific error message when a timeout occurs. - Updated the `callParentCoreRpc` function to accept a customizable timeout parameter, improving flexibility for RPC calls. * fix(overlay): allow stopping active recording regardless of config state - Updated the main button handler in the App component to always permit stopping an active recording when the status is "listening", improving user experience and control over the recording process. - Removed redundant code that previously checked the status before stopping the recording, streamlining the logic. * feat(overlay): update Cargo.lock with new dependencies and versions - Added new packages including `alsa`, `alsa-sys`, `arboard`, `block`, `cocoa`, `core-foundation`, `core-graphics`, `coreaudio-rs`, `coreaudio-sys`, `cpal`, `crunchy`, and `dasp_sample` to enhance functionality and support for audio processing and system interactions. - Updated existing dependencies to their latest versions for improved performance and compatibility. - Modified the `show_overlay` function in `ops.rs` to include an additional parameter, enhancing the overlay display functionality. * feat(autocomplete): add overlay_ttl_ms parameter to Autocomplete interfaces - Introduced a new optional parameter `overlay_ttl_ms` to both `AutocompleteSetStyleParams` and `AutocompleteConfig` interfaces, allowing for customizable overlay timeout settings. - This enhancement improves the flexibility of the autocomplete feature by enabling developers to specify how long the overlay should remain visible. --------- Co-authored-by: Code review feedback <noreply@github.com> Co-authored-by: Steven Enamakel <enamakel@tinyhumans.ai> |
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Steven EnamakelandGitHub
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3851d1ef67 |
fix(voice): anti-hallucination, clipboard paste, Fn key reliability (#380)
* fix(dictation): update hotkey default value and documentation - Changed the default global hotkey for dictation from "CmdOrCtrl+Shift+D" to "Fn" in both the configuration schema and the associated documentation. - Updated the hotkey parsing function to recognize "Fn" as a valid key, enhancing the flexibility of hotkey configurations. - Added a test case to ensure the "Fn" key can be parsed correctly, improving the robustness of the hotkey handling functionality. * fix(voice): update default activation mode and hotkey in configuration - Changed the default activation mode for voice and dictation from "tap" to "push" in the respective configuration schemas. - Updated the default hotkey for voice commands from "ctrl+shift+space" to "Fn" across various modules and documentation. - Adjusted related tests to reflect the new defaults, ensuring consistency in behavior and expectations. * feat(voice): integrate embedded global voice server startup - Added a new asynchronous function `start_if_enabled` to the voice server module, which initializes the embedded voice server based on configuration settings. - Updated the server run logic to check if the voice server should auto-start, enhancing the startup process for the core application. - Integrated the new server startup function into the main server run logic, ensuring the voice server is launched if enabled in the configuration. * feat(voice): add VoicePanel for managing voice server settings - Introduced a new `VoicePanel` component to handle voice server configurations, including startup options, hotkeys, and runtime controls. - Updated routing in the settings page to include the new voice settings section. - Enhanced the `useSettingsNavigation` hook to support navigation to the voice settings. - Added tests for the `VoicePanel` to ensure functionality and reliability of the voice server management features. * refactor(dictation): update documentation and improve component initialization - Revised comments in `DictationHotkeyManager` to clarify the component's mounting process within the app tree. - Removed unused imports and unnecessary state management from `ServiceBlockingGate`, streamlining the component's logic. - Updated tests for `ServiceBlockingGate` to reflect changes in behavior, ensuring accurate rendering of child components based on service status. - Enhanced the `Cargo.lock` file by updating dependencies to their latest versions for improved stability and security. * fix(voice): update default skip_cleanup setting and enhance VoicePanel options - Changed the default value of `skip_cleanup` in the voice server configuration from `false` to `true` to improve transcription handling. - Reordered options in the `VoicePanel` component to ensure "Natural cleanup" is displayed alongside "Verbatim transcription" for better user clarity. - Updated tests to reflect the new default settings and ensure proper functionality of the VoicePanel component. * feat(window): add window management commands for Tauri application - Introduced a new module `window.ts` containing functions for managing window visibility and state in a Tauri application. - Implemented commands to show, hide, toggle visibility, minimize, maximize, close, and set the title of the main window. - Added checks to ensure commands are only executed in a Tauri environment, enhancing compatibility with web contexts. * feat(tauriCommands): add comprehensive Tauri command modules - Introduced multiple new modules for Tauri commands, including `accessibility`, `autocomplete`, `config`, `conscious`, `core`, `cron`, `hardware`, `localAi`, and `window`. - Each module contains functions for managing specific functionalities such as accessibility permissions, autocomplete suggestions, configuration settings, and hardware interactions. - Implemented checks to ensure commands are executed only in a Tauri environment, enhancing compatibility and reliability. - This addition significantly expands the command capabilities of the Tauri application, providing a robust framework for future development. * feat(voice): enhance audio transcription with initial prompt support - Added functionality to transcribe audio with an optional initial prompt, allowing for vocabulary bias and improved conversational continuity. - Updated the `transcribe_pcm_f32` and `transcribe_wav_file` functions to accept an `initial_prompt` parameter, enhancing recognition of specific vocabulary. - Implemented peak RMS energy tracking during audio recording for silence detection, ensuring recordings below a defined threshold are skipped. - Enhanced the voice server configuration to include a silence threshold and custom dictionary for better transcription context. - Introduced methods to build and manage recent transcripts for improved continuity across consecutive recordings. - Updated tests to validate new features and ensure proper functionality of the transcription process. * feat(voice): enhance VoiceServerConfig with silence detection and custom dictionary - Added `silence_threshold` to the `VoiceServerConfig` for improved silence detection, allowing recordings with low RMS energy to be skipped. - Introduced `custom_dictionary` to bias transcription towards specific vocabulary, enhancing recognition of names and technical terms. - Updated the `voice_transcribe` and `voice_transcribe_bytes` functions to utilize the new `initial_prompt` parameter for better context during transcription. - Adjusted the `transcribe_pcm_i16` function to accept additional parameters for improved flexibility in handling audio input. * feat(voice): add silence threshold and custom dictionary features to VoicePanel - Implemented a new input for setting the silence threshold, allowing recordings with low RMS energy to be skipped. - Added functionality for a custom dictionary, enabling users to add specific vocabulary words to improve transcription accuracy. - Updated the VoiceServerSettings interface and related functions to support the new features, ensuring seamless integration with existing settings. - Enhanced the UI in the VoicePanel to facilitate user interaction with the new settings. * feat(voice): propagate silence threshold and custom dictionary to voice server command - Added `silence_threshold` and `custom_dictionary` parameters to the `run_voice_server_command` function, ensuring these settings are utilized during voice server operations. - Enhanced integration with the existing voice server configuration to support improved transcription accuracy and silence detection. * fix(tauriCommands): update import paths for coreRpcClient - Adjusted import paths for `callCoreRpc` in multiple Tauri command modules to ensure correct referencing from the updated directory structure. - This change enhances module organization and maintains consistency across the codebase. * feat(dependencies): update Cargo.lock and Cargo.toml for new packages and versions - Added new dependencies including `arboard`, `fax`, `fax_derive`, `gethostname`, `half`, `quick-error`, `tiff`, and `x11rb` to enhance functionality and support for clipboard operations, transcription improvements, and system interactions. - Updated existing dependencies to their latest versions for better performance and compatibility. - Modified `VoicePanel` to utilize the updated settings and ensure proper handling of voice server configurations. - Enhanced the text input mechanism to use clipboard-paste for improved reliability in text insertion. * fix(voice): update skip_cleanup default value and enhance logging - Changed the default value of `skip_cleanup` in `VoiceServerConfig` from `true` to `false` to align with expected behavior and improve transcription handling. - Added detailed logging in the transcription cleanup process to provide better insights into the LLM state and cleanup decisions. - Removed unused functions related to unreliable key releases in hotkey handling to simplify the codebase. - Updated tests to reflect the new default settings for `skip_cleanup` and ensure proper functionality across components. * style: apply linter formatting fixes * fix(voice): remove unused warn import in hotkey module * test(voice): add silence threshold and custom dictionary to VoicePanel tests - Updated tests for the VoicePanel component to include new parameters: `silence_threshold` and `custom_dictionary`. - Ensured that the tests reflect the latest configuration settings for improved transcription accuracy and functionality. |
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11f718d8bc |
feat(voice): standalone voice dictation server with hotkey support (#368)
* feat: add standalone voice dictation server with hotkey support - Introduced a new `voice` subcommand to the CLI for running a standalone voice dictation server that listens for a hotkey, records audio, transcribes it using Whisper, and inserts the result into the active text field. - Implemented configuration options for the voice server, including hotkey combination, activation mode (tap or push), and an option to skip LLM post-processing. - Added audio capture functionality using the `cpal` crate and integrated hotkey listening with the `rdev` crate for global key event handling. - Enhanced the configuration schema to include voice server settings and updated the main configuration structure accordingly. - Updated relevant modules and tests to ensure consistent behavior and functionality across the application. This feature enhances user interaction by allowing voice dictation directly into any active text field, improving accessibility and usability. * feat: add voice dictation server with hotkey support - Introduced a standalone voice dictation server that listens for a configurable hotkey to start recording audio, transcribes it using whisper, and inserts the transcribed text into the active text field. - Added CLI support for the `voice` command, allowing users to manage the voice server's configuration, including hotkey and activation mode settings. - Implemented configuration structures for the voice server, including options for automatic start, hotkey combination, activation mode, and cleanup behavior. - Enhanced audio capture functionality using the `cpal` library for microphone input and integrated text insertion using the `enigo` library for simulating keyboard input. - Updated relevant modules and schemas to support the new voice server features, ensuring a cohesive integration within the OpenHuman platform. * refactor: streamline voice server command and enhance audio capture functionality - Updated the `run_voice_server_command` function to initialize the configuration with environment overrides instead of loading from a file, improving performance and flexibility. - Refactored the audio capture logic in `start_recording` to enhance thread management and error handling, ensuring a more robust audio stream setup. - Improved the handling of audio stream creation and playback, ensuring that all cpal objects are managed on the same thread as required, enhancing stability during recording operations. * fix: remove unused import in voice server module - Eliminated the `HotkeyListenerHandle` import from the `server.rs` file, streamlining the code and improving clarity by removing unnecessary dependencies. * feat(voice): auto-enable LLM cleanup when local model is ready The postprocessor now checks the local LLM state and automatically enables transcription cleanup when the model is downloaded and ready, even if not explicitly configured. Falls back gracefully to raw text when the LLM is unavailable. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt + prettier formatting Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(voice): dictation config, hotkey lifecycle, and WebSocket streaming (#332) Add the foundational infrastructure for voice dictation (EPIC #332): **Rust core:** - New `DictationConfig` schema with serde defaults and env var overrides (enabled, hotkey, activation_mode, llm_refinement, streaming, interval) - RPC controllers: `config_get_dictation_settings` / `config_update_dictation_settings` - WebSocket endpoint `/ws/dictation` for streaming PCM16 transcription with periodic partial inference and final LLM refinement - Microphone permission declaration (`NSMicrophoneUsageDescription`) in Tauri macOS bundle config **Frontend:** - `useDictationHotkey` hook: fetches config from core RPC, auto-registers global hotkey, listens for `dictation://toggle` events - `DictationHotkeyManager` headless component mounted in App.tsx - Fix voice RPC response type mismatch: voice handlers return flat results (no `{result, logs}` wrapper), so remove incorrect `CommandResponse<T>` wrapping from `openhumanVoiceStatus`, `openhumanVoiceTranscribe`, `openhumanVoiceTranscribeBytes`, and `openhumanVoiceTts` Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tauri): remove invalid infoPlist config that breaks tauri dev The `infoPlist` field in tauri.conf.json expects a string path, not an inline object. Remove it for now — microphone permission will be added via a proper Info.plist supplement in the production build pipeline. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * style: apply Prettier formatting to dictation files Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * format files * feat(dictation): integrate dictation listener and event broadcasting - Added a global dictation hotkey listener that activates based on configuration. - Implemented a web channel bridge to handle dictation events and broadcast them to connected clients. - Updated the voice module to include the new dictation listener functionality. This enhances the voice dictation capabilities by ensuring real-time event handling and client communication. * update code * format * feat(voice): enhance voice server configuration and functionality - Updated `Cargo.toml` to mark voice-related dependencies as optional. - Introduced `VoiceActivationMode` enum for better control over voice server activation. - Refactored voice server command handling and dictation event broadcasting to support new features. - Added conditional compilation for voice features across various modules, ensuring they are only included when enabled. This commit improves the modularity and configurability of the voice server, allowing for more flexible integration and usage. * refactor: clean up whitespace and formatting in core and voice modules - Removed unnecessary blank lines in `cli.rs`, `jsonrpc.rs`, `schemas.rs`, and `socketio.rs` to improve code readability. - Adjusted import order in `mod.rs` for better organization. This commit enhances the overall code quality by ensuring consistent formatting across multiple files. * chore: update Dockerfile and test workflow to install additional system dependencies - Added installation of system dependencies (cmake, ALSA, X11) in the Dockerfile for improved build support. - Updated the GitHub Actions workflow to reflect the new dependencies, ensuring consistent environment setup for testing. This commit enhances the build environment by including necessary libraries for audio and GUI support. * format * fix claude * format --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: oxoxDev <nikhil@tinyhumans.ai> |
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07b1df4f24 |
feat(event_bus): wire webhooks, channels & skills through the event bus (#379)
* feat(event_bus): enhance domain event handling across modules - Added new `DomainEvent` variants for channel and skill events, including `ChannelMessageReceived`, `ChannelMessageProcessed`, `ChannelConnected`, `ChannelDisconnected`, `SkillLoaded`, `SkillStopped`, and `SkillStartFailed`. - Implemented event publishing in the channels and skills modules to track message processing and skill lifecycle events. - Created dedicated event bus handler files for the skills and webhooks domains, preparing for future subscriber implementations. - Updated documentation in `CLAUDE.md` to reflect the new domain events and their usage. These changes improve the observability and modularity of the system by leveraging an event-driven architecture for cross-module communication. * feat(event_bus): implement channel and webhook event handling - Introduced `ChannelInboundSubscriber` to handle inbound channel messages, triggering the agent inference loop and sending replies via the backend REST API. - Added `WebhookRequestSubscriber` to manage incoming webhook requests, routing them to the appropriate skill and handling responses. - Updated the global event bus initialization in `bootstrap_skill_runtime` to register both channel and webhook subscribers. - Enhanced `DomainEvent` with new variants for channel inbound messages and webhook requests, improving event-driven communication across modules. These changes enhance the modularity and responsiveness of the system by leveraging an event-driven architecture for channel and webhook interactions. * refactor(event_bus): update domain event documentation and subscriber initialization - Revised the documentation in `CLAUDE.md` to provide a concise overview of domain events and their associated subscriber files, enhancing clarity for future development. - Updated the `start_channels` function to initialize `WebhookRequestSubscriber` and `ChannelInboundSubscriber`, ensuring proper event handling for webhooks and channel messages. - Streamlined the event bus subscriber registration process, reinforcing the modular architecture of the system. These changes improve the maintainability and usability of the event bus framework, facilitating better cross-module communication. * style: apply cargo fmt formatting Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(event_bus): remove duplicate subscriber registration in start_channels WebhookRequestSubscriber and ChannelInboundSubscriber were registered in both bootstrap_skill_runtime() and start_channels(), causing events to be handled twice when both paths run in the same process. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(event_bus): prevent subscriber handles from being dropped on function exit SubscriptionHandle::drop aborts the background task. Since bootstrap_skill_runtime() returns immediately after setup, the local handles were dropped, cancelling both subscribers. Use std::mem::forget to leak the handles so the tasks live for the entire process. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(event_bus): ensure subscriber handles persist beyond function exit Modified the handling of subscriber registration to prevent premature dropping of handles in `bootstrap_skill_runtime()`. This change ensures that the background tasks for subscribers remain active for the entire process lifecycle, enhancing event handling reliability. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(webhooks): use proper JSON serialization for error response bodies Hand-escaped JSON strings only handled double quotes, not backslashes, newlines, or other control chars. Replaced with serde_json serialization via an error_body() helper. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(webhooks): use proper JSON serialization for error response bodies Hand-escaped JSON strings only handled double quotes, not backslashes, newlines, or other control chars. Replaced with serde_json serialization via an error_body() helper. 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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45d15cd510 |
feat: text_input domain module for focused field read/insert/ghost text (#377)
* feat: add text_input domain module for focused field read/insert/ghost text Thin orchestration layer over accessibility APIs — provides a clean RPC surface for reading, inserting, and previewing text in OS-focused input fields. Consumed by autocomplete and voice control. Five RPC methods: read_field, insert_text, show_ghost, dismiss_ghost, accept_ghost. Standalone CLI (`openhuman text-input`) and JSON-RPC server mode for testing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt to text_input module 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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88257d3231 |
feat(update): core sidecar self-update with version detection (#372)
* update * update * Refactor code style for consistency and readability in core update module - Reformatted platform_triple function to improve readability by aligning braces. - Simplified async function calls and error handling in various places for better clarity. - Enhanced logging statements for improved observability during update processes. These changes enhance the maintainability of the codebase while ensuring consistent formatting across the module. * feat(update): periodic background update checker with config flag Add a periodic update scheduler that checks GitHub Releases for newer core binary versions on a configurable interval (default: 1 hour). Controlled by `[update]` config section with `enabled = true` by default. - New `UpdateConfig` in config schema (enabled, interval_minutes) - Env var overrides: OPENHUMAN_AUTO_UPDATE_ENABLED, OPENHUMAN_AUTO_UPDATE_INTERVAL_MINUTES - Background scheduler spawned at server startup in run_server() - Reports to health registry as "update_checker" component Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(update): address PR review — restart path, security, version tracking - CoreProcessHandle: add set_core_bin/effective_core_bin so ensure_running launches the newly staged binary instead of the original one - check_and_update_core: add `force` param — auto-check uses MINIMUM_CORE_VERSION, manual apply_core_update uses latest release (force=true) - Acquire restart_lock before download+staging to prevent concurrent updates; shutdown old process before staging; use unique temp filename - check_core_update Tauri command now queries GitHub for latest_version and returns update_available alongside outdated - Harden update_apply RPC: validate download URL is GitHub HTTPS, validate asset_name is safe filename starting with openhuman-core-, ignore caller staging_dir (always use safe default) - download_and_stage accepts target_version so installed_version reflects the staged release, not the running process - Add update.check and update.apply to about_app capability catalog - ops.rs: unwrap_or_default → unwrap_or_else with error context - tauriCommands.ts: convert to arrow-function exports, add latest_version and update_available to CoreUpdateStatus interface Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * format --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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df503a23fd |
Fix: decouple chat from local Ollama, route inference through Rust (#369)
* refactor: streamline Conversations component by removing local response delivery logic - Eliminated the `deliverLocalResponse` function, which handled segmenting and dispatching local model responses, simplifying the message delivery process. - Updated socket status checks to remove unnecessary local model condition, ensuring clarity in connection handling. - Adjusted comments to reflect the new routing logic for cloud backend interactions, emphasizing that local models are now used only for supplementary features. * refactor: update chat service to utilize core RPC for message handling - Replaced Socket.IO message sending with core RPC calls for sending and canceling chat messages, enhancing the communication mechanism. - Improved error handling for socket connection checks, ensuring robust event routing. - Updated documentation to reflect the new RPC-based approach for chat message processing. * feat: enhance chat response handling with segmentation and emoji reactions - Introduced a new `ChatSegmentEvent` interface to support segmented message delivery, allowing for more natural chat interactions. - Updated the `Conversations` component to handle segmented responses and apply emoji reactions based on user messages. - Refactored the message delivery logic to improve clarity and maintainability, ensuring that responses are dispatched correctly based on segmentation. - Enhanced the chat service to emit segment events, facilitating a smoother user experience during conversations. * refactor: simplify Conversations component by removing unused imports and optimizing rendering logic - Removed unnecessary imports related to local model status and message segmentation, streamlining the codebase. - Updated the rendering logic to enhance clarity by simplifying conditions for displaying sending and delivering states in the chat interface. - Improved overall readability and maintainability of the Conversations component. * style: apply formatter fixes (prettier + cargo fmt) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * updated convos * fix test --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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b589a29e77 |
Extract socket controller into dedicated domain module (#340)
* refactor: remove global_engine usage in tests and instantiate AccessibilityEngine directly - Updated the test suite to eliminate the use of global_engine, replacing it with a direct instantiation of AccessibilityEngine. - This change enhances test isolation and clarity by ensuring that each test operates with its own instance of the engine, improving reliability and maintainability. * feat: add socket module for skill communication - Introduced a new `socket` module to facilitate communication between skills, enhancing the modularity and organization of the codebase. - Updated imports in `qjs_engine.rs` to reference the new `SocketManager` from the `socket` module, streamlining socket management for skill interactions. - Removed the deprecated `socket_manager` module from the skills module, improving clarity and reducing redundancy in the code structure. * feat: integrate socket controllers and schemas into core functionality - Added socket-related registered controllers and schemas to the core build functions, enhancing the communication capabilities within the OpenHuman framework. - Updated the `build_registered_controllers` and `build_declared_controller_schemas` functions to include socket components, ensuring comprehensive integration of the new socket module. * feat: enhance QuickJS skill runtime with socket manager integration - Updated the `bootstrap_skill_runtime` function to initialize and register the `SocketManager` globally, allowing RPC handlers to access socket functionalities. - Improved documentation to reflect the addition of socket management capabilities alongside the QuickJS skill runtime. - Cleaned up imports in `event_handlers.rs` to streamline the codebase. * refactor: remove socket manager integration from skill runtime - Removed the `SocketManager` integration from the `bootstrap_skill_runtime` function, simplifying the socket management process. - Eliminated the `socket_manager` field and related methods from the `RuntimeEngine` struct, streamlining the codebase. - Cleaned up unused MCP handlers and socket-related imports in the event handlers, enhancing code clarity and maintainability. * refactor: remove sync_tools calls from skill status handling - Eliminated unnecessary calls to `sync_tools()` in the `RuntimeEngine` during skill status changes, simplifying the skill lifecycle management. - This change enhances performance by reducing redundant synchronization operations during skill execution and shutdown processes. * feat: enhance socket event handling with improved logging - Added logging for incoming socket events to improve observability, including event name and data size. - Implemented detailed debug logging for event payloads, ensuring clarity on the data being processed. - Updated event handling logic to streamline routing for webhook requests and inbound channel messages, enhancing the overall responsiveness of the system. - Introduced logging for unhandled events to aid in debugging and monitoring. * feat: enhance socket management and auto-connect functionality - Updated the `bootstrap_skill_runtime` function to clone the `SocketManager` instance for global registration, ensuring proper socket management. - Introduced background tasks for auto-starting skills and auto-connecting to the backend using stored session tokens, improving startup efficiency and user experience. - Added detailed logging for session token checks and connection attempts, enhancing observability and debugging capabilities during socket operations. * feat: enhance skill selection and tool management in tests - Introduced a new `manifests_in_dir` function to retrieve skill manifests from a specified directory, improving skill discovery. - Added `select_skill_id` function to prioritize skill selection based on environment variables and preferred candidates, enhancing flexibility in test configurations. - Updated the test suite to utilize the new skill selection logic, ensuring more robust and configurable test scenarios. - Improved handling of tool selection with enhanced logging and fallback mechanisms for better debugging and usability. * format code:wq * feat: add Rust checks and formatting commands to package.json - Introduced new scripts for Rust checks and formatting in both the main and app package.json files. - Updated pre-push hook to include Rust compile checks, enhancing pre-push validation. - Modified existing format commands to integrate Rust formatting, ensuring consistency across codebases. * fix: improve formatting of the "Keep Screenshots" label description - Adjusted the formatting of the description text for better readability by breaking it into multiple lines within the `ScreenIntelligencePanel` component. * fix: install rustls crypto provider before WebSocket TLS connect The socket auto-connect was panicking with "Could not automatically determine the process-level CryptoProvider" because tokio-tungstenite uses rustls for wss:// but no crypto provider was installed. Install the ring provider before each connect attempt. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: use dynamically selected skill in sync memory tests The tests hardcoded 'example-skill' which no longer exists in the skills directory. Now dynamically picks the first available skill (preferring server-ping) so tests work regardless of which skills are present. 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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8757bb9f15 |
Feat/docs (#331)
* Enhance documentation and structure across core modules - Added comprehensive module-level documentation for `lib.rs`, `main.rs`, `cli.rs`, `jsonrpc.rs`, `mod.rs`, `config.rs`, and `skills.rs`, detailing their functionalities and responsibilities within the OpenHuman platform. - Improved function-level documentation to clarify arguments, return types, and error handling for key functions such as `run_core_from_args`, `rpc_handler`, and `run_from_cli_args`. - Enhanced comments throughout the code to improve readability and maintainability, ensuring a clearer understanding of the codebase for future development. * Enhance documentation for RuntimeEngine and SkillRegistry - Improved struct and function-level documentation in `qjs_engine.rs` to clarify the lifecycle management of JavaScript-based skills, including skill discovery, startup, and shutdown processes. - Updated comments in `skill_registry.rs` to provide clearer descriptions of the registry's role in managing active skills and their communication channels. - Added detailed explanations for key methods, enhancing understanding of their functionality and usage within the OpenHuman platform. * Enhance documentation across skill modules - Improved module-level and struct-level documentation in `manifest.rs`, `ops.rs`, `socket_manager.rs`, and `types.rs` to clarify the purpose and functionality of various components within the skills system. - Added detailed comments for key structs and functions, including `SkillSetup`, `Skill`, and `SocketManager`, enhancing understanding of their roles in skill management and communication. - Updated descriptions for enums and message types to provide clearer context for their usage in the skill lifecycle and internal messaging. * Enhance documentation across skills modules - Added comprehensive module-level documentation for `registry_ops.rs`, `registry_types.rs`, `schemas.rs`, and `qjs_skill_instance` modules, detailing their functionalities and responsibilities within the OpenHuman skills system. - Improved function-level comments to clarify the purpose and usage of key functions, including `registry_fetch`, `registry_search`, and `skill_install`. - Enhanced descriptions for structs and enums, providing clearer context for their roles in skill management and execution. - Updated comments throughout the code to improve readability and maintainability, ensuring a clearer understanding of the codebase for future development. * Enhance documentation for QuickJS and IndexedDB modules - Improved module-level documentation in `quickjs_libs/mod.rs` to clarify the purpose and functionality of the QuickJS runtime support. - Enhanced comments in `storage.rs` to provide detailed descriptions of the IndexedDB storage layer, including its features and compatibility with the browser's IndexedDB API. - Updated function-level comments to improve clarity on database connection management and object store operations, ensuring better understanding for future development. * Enhance documentation across memory modules - Added comprehensive module-level documentation for `mod.rs`, `ops.rs`, `rpc_models.rs`, `schemas.rs`, and `traits.rs`, detailing their functionalities within the OpenHuman memory system. - Improved function-level comments to clarify the purpose and usage of key functions, enhancing understanding of memory operations, RPC handling, and data structures. - Updated comments throughout the code to improve readability and maintainability, ensuring a clearer understanding of the memory system for future development. * Enhance documentation for memory modules - Updated module-level documentation in `chunker.rs`, `embeddings.rs`, and `relex.rs` to provide clear descriptions of their functionalities within the OpenHuman memory system. - Improved function-level comments to clarify the purpose and usage of key functions, enhancing understanding of markdown chunking, embedding providers, and relation extraction processes. - Added detailed explanations for structs and enums, ensuring better context for their roles in memory operations and data handling. * Enhance documentation across memory modules - Updated module-level documentation in `ingestion_queue.rs`, `ingestion.rs`, `response_cache.rs`, `client.rs`, and `mod.rs` to provide clearer descriptions of their functionalities within the OpenHuman memory system. - Improved function-level comments to clarify the purpose and usage of key functions, enhancing understanding of document ingestion, caching mechanisms, and memory client interactions. - Added detailed explanations for structs and enums, ensuring better context for their roles in memory operations and data handling. * Enhance documentation for memory store modules - Added comprehensive module-level documentation for `factories.rs` and `memory_trait.rs`, detailing their functionalities within the OpenHuman memory system. - Improved function-level comments to clarify the purpose and usage of key functions, enhancing understanding of memory instance creation and management. - Included detailed explanations for the `UnifiedMemory` implementation, ensuring better context for its role as a generic memory backend. * Refactor and enhance documentation across various modules - Removed unnecessary blank lines in `main.rs`, `chunker.rs`, `embeddings.rs`, `ingestion.rs`, `relex.rs`, `rpc_models.rs`, `memory_trait.rs`, `manifest.rs`, `mod.rs`, `ops.rs`, `qjs_engine.rs`, `socket_manager.rs`, and other files to improve code readability. - Improved comments and documentation in several modules to clarify the purpose and functionality of key components, enhancing overall understanding of the codebase. - Ensured consistent formatting and organization of comments throughout the code, contributing to better maintainability and clarity for future development. * fix import * format |
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8aa5547af4 |
feat: Telegram managed login, channel messaging, and inbound agent loop (#338)
* feat: add managed Telegram login flow and API endpoints - Introduced a new managed Telegram login flow, allowing users to link their Telegram accounts via a deep link. - Added `telegram_login_start` and `telegram_login_check` functions to handle the creation of link tokens and status checks for user linking. - Updated the API with new endpoints for managing Telegram login, including detailed response structures for link token creation and status verification. - Enhanced the `.env.example` file to include a configuration option for the Telegram bot username, facilitating easier setup for developers. * refactor: update Telegram integration to use core RPC for login flow - Replaced the managed DM API with core RPC calls for initiating and checking Telegram login status. - Introduced new API methods `telegramLoginStart` and `telegramLoginCheck` to handle link token creation and verification. - Updated the TelegramConfig and MessagingPanel components to utilize the new login flow, enhancing the user experience and simplifying the codebase. - Adjusted tests to reflect changes in the login process and ensure proper functionality. * docs: update TODO list with new user interaction registration task for memory skill * feat: add ChannelSetupModal for configuring channel integrations - Introduced a new reusable modal component, ChannelSetupModal, for configuring channel integrations such as Telegram and Discord. - The modal can be opened from the Skills page or Settings, enhancing user experience by providing a centralized configuration interface. - Updated MessagingPanel and Skills components to integrate the new modal, allowing users to easily manage their channel settings. - Implemented channel-specific configuration components for better modularity and maintainability. * feat: add ChannelSetupModal for configuring channel integrations - Introduced a new reusable modal component, ChannelSetupModal, for configuring channel integrations such as Telegram and Discord. - The modal can be opened from the Skills page or Settings, enhancing user experience by providing a centralized configuration interface. - Updated MessagingPanel and Skills components to integrate the new modal, allowing users to easily manage their channel settings. - Implemented channel-specific configuration components for better modularity and maintainability. * style: update channel components for improved UI consistency - Refactored styles across various channel configuration components, including ChannelCapabilities, ChannelConfigPanel, ChannelFieldInput, ChannelSelector, DiscordConfig, TelegramConfig, and WebChannelConfig. - Enhanced color schemes and layout for better readability and visual appeal, ensuring a cohesive design across the application. - Updated status badge styles in definitions.ts to align with the new design standards. - Improved error message visibility and loading indicators in Channels page for a more user-friendly experience. * refactor: update WebChannelConfig and tests for improved clarity and functionality - Renamed the `definition` prop in WebChannelConfig to `_definition` for clarity. - Updated test cases in DiscordConfig and TelegramConfig to reflect changes in auth mode labels, ensuring accurate rendering of UI elements. - Adjusted the TelegramConfig test to fix the click event on the connect button, enhancing test reliability. - Modified channel definitions to streamline the managed DM auth mode, improving code organization and maintainability. * fix: enhance WebGL error handling in MeshGradient and RotatingTetrahedronCanvas components - Added error handling in the MeshGradient component to gracefully catch WebGL initialization failures, ensuring the app remains functional when the GPU context is unavailable. - Updated the RotatingTetrahedronCanvas component to verify WebGL context availability before initializing the renderer, preventing crashes and improving user experience. - Modified channel definitions to update auth mode labels for clarity and consistency across the application. * style: update RotatingTetrahedronCanvas colors and animation speed - Changed fill and edge colors in the RotatingTetrahedronCanvas component for improved visual appeal. - Adjusted opacity of the fill material to enhance transparency effects. - Introduced a speed multiplier for rotation animations, allowing for more dynamic visual effects. * refactor: improve WebGL error handling and cleanup in MeshGradient component - Removed unused canvas reference and WebGL context probing to streamline the MeshGradient component. - Enhanced error handling during shader compilation to throw an error when WebGL context may be lost, improving robustness. - Wrapped initialization logic in a try-catch block to gracefully handle failures, ensuring the gradient functionality is disabled if initialization fails. * refactor: simplify Telegram login flow by removing unused link token check - Removed the `check_channel_link_status` method from the `BackendOAuthClient`, streamlining the authentication process. - Updated `telegram_login_check` to directly fetch the user profile and determine link status based on the presence of `telegramId`, enhancing clarity and reducing complexity. - Adjusted logging to reflect the new flow and ensure accurate debugging information. * feat: enhance JSON-RPC method invocation with session expiration handling - Added logic to automatically clear stored session on receiving a 401 error from the backend, improving user experience by ensuring users are redirected to the login page when their session expires. - Introduced a helper function to identify session expiration errors, enhancing code clarity and maintainability. - Refactored the `invoke_method` function to incorporate this new error handling mechanism, ensuring robust session management during RPC calls. * style: update app-dotted-canvas background gradient for improved visibility - Changed the radial gradient background color in the app-dotted-canvas from rgba(0, 0, 0, 0.2) to rgba(0, 0, 0, 0.5), enhancing the contrast and overall visual appeal of the component. * feat: implement channel messaging API with end-to-end testing script - Added a new script `test-channel-messaging.sh` for end-to-end testing of message sending to Telegram via the backend API. - Implemented new backend API methods for sending messages, reactions, creating threads, updating threads, and listing threads in channels. - Enhanced the `BackendOAuthClient` with methods to handle channel messaging operations. - Updated controller schemas and handlers to support the new messaging functionalities, ensuring robust interaction with the backend. - Improved logging for better debugging and tracking of channel operations. * feat: add test-channel-receive script for real-time channel message listening - Introduced a new script `test-channel-receive.mjs` that connects to the backend Socket.IO server and listens for incoming channel messages. - Implemented session token retrieval and validation against the backend, ensuring secure message handling. - Added options for debugging and sending test messages, enhancing the script's usability for testing purposes. - Improved logging for better visibility of connection status and incoming messages. * feat: implement inbound channel message handling for real-time responses - Added functionality to handle inbound messages from channels (e.g., Telegram, Discord) by introducing the `handle_channel_inbound_message` function. - Implemented agent inference loop to process messages and send replies back to the originating channel via the REST API. - Enhanced logging for better tracking of message reception and response handling. - Integrated timeout handling to manage long-running requests effectively. * style: fix prettier formatting for channel components 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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7bce9d2bbe |
UI polish: skill encryption key, disconnect fix, settings layout cleanup (#330)
* feat: add overlay process launcher for OpenHuman (#328) - Introduced a new `overlay` module to manage the lifecycle of the `openhuman-overlay` Tauri application. - Implemented the `spawn_overlay` function to discover and launch the overlay as a child process, enhancing the user experience with a transparent debug/voice panel. - Updated the `jsonrpc.rs` file to invoke the overlay process when the core server starts, ensuring seamless integration. - Enhanced module organization by adding the `overlay` module to the `openhuman` namespace. * feat: add animated mesh gradient background to App component - Introduced a new `MeshGradient` component that renders an animated WebGL mesh gradient background, enhancing the visual appeal of the application. - Updated the `App` component to include the `MeshGradient`, ensuring it renders behind the dotted canvas overlay for improved aesthetics. - Modified the CSS for the `app-dotted-canvas` to use a transparent background and adjusted the gradient styling for better integration with the new component. - Added TypeScript definitions and implementation for the `Gradient` class to manage the mesh gradient functionality. * style: update MeshGradient component colors and opacity - Changed the opacity of the mesh gradient from 20% to 10% for a more subtle effect. - Updated gradient colors to enhance visual appeal, replacing previous colors with a new palette for better integration with the overall design. * feat: enhance SkillSetupWizard with encryption key support - Added a new input field for client-side encryption key in the OAuthLoginView component, improving security during manual integration. - Implemented validation to ensure the encryption key is provided before submission, enhancing error handling. - Updated the layout to accommodate both integration ID and encryption key inputs, improving user experience in development mode. - Refactored related logic to streamline the handling of integration ID and encryption key during OAuth completion. * feat: integrate skill installation check in SkillSetupWizard - Updated the OAuthLoginView component to ensure skills are installed before starting the runtime, enhancing reliability during the setup process. - Added error handling to manage cases where the skill may already be installed, improving user experience and reducing potential runtime errors. * fix: improve base directory resolution in skill runtime - Updated the base directory resolution logic in both `jsonrpc.rs` and `skills_cli.rs` to filter out empty workspace paths, enhancing robustness. - Added debug logging in `qjs_engine.rs` to provide better visibility into skill startup processes, including checks for manifest existence and workspace directory status. * feat: enhance SkillManager with skill stopping and client key cleanup - Implemented the `stopSkill` method to halt the frontend-side runtime and added a call to `rpcStopSkill` for stopping the core sidecar skill process. - Introduced `removePersistedClientKey` function to clear the client-side encryption key, ensuring better security and resource management during skill revocation. - Added error handling and debug logging for both stopping the skill and cleaning up the client key, improving observability and reliability. * style: update OnboardingOverlay background opacity and refine settings warning message - Changed the background opacity of the OnboardingOverlay from 95% to 50% for a more subtle appearance. - Revised the warning message in SettingsHome to clarify the local data deletion process, improving user understanding of the consequences of signing out. * refactor: simplify layout structure in settings components - Removed unnecessary overflow properties from the main container divs in SettingsHome, SettingsSectionPage, and SettingsPanelLayout components, improving layout clarity. - Adjusted child divs to ensure proper content display without overflow, enhancing user experience in the settings interface. * style: adjust padding and spacing in SettingsSectionPage component - Updated padding in the main container from `p-4` to `py-4` for improved vertical spacing. - Increased horizontal padding of the description text from `px-1` to `px-5`, enhancing readability and visual appeal. * style: refine layout and spacing in settings components - Adjusted padding and spacing in SettingsSectionPage, SettingsBackButton, and SettingsHeader components for improved visual consistency. - Updated font sizes and margins to enhance readability and user experience across the settings interface. * style: simplify layout and improve spacing in settings panels - Removed unnecessary flex properties and adjusted padding in various settings panels for a cleaner layout. - Standardized spacing across panels to enhance visual consistency and user experience. - Updated component structures to eliminate redundant overflow properties, improving content display. * style: simplify section layouts and improve spacing in settings panels - Removed unnecessary border and background properties from multiple sections in the Accessibility, Screen Intelligence, and other settings panels for a cleaner appearance. - Standardized section spacing and padding across various panels to enhance visual consistency and user experience. - Updated font sizes for better readability and adjusted button styles for improved interaction. * style: standardize panel headings from text-lg to text-sm Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: update heading for connected skills section to improve clarity - Changed the section title from "Connected Skills" to "3rd Party Skills" for better representation of the content. * style: improve code formatting and spacing in various components - Enhanced readability by adjusting spacing and formatting in SettingsBackButton, MemoryDebugPanel, WebhooksDebugPanel, and other components. - Standardized the layout of JSX elements for better visual consistency across the application. - Cleaned up log messages in Rust files for improved clarity and debugging. * fix: enhance MeshGradient cleanup and improve settings warning message - Added a call to `gradient.disconnect()` in the MeshGradient component to ensure proper cleanup on unmount. - Updated the warning message in SettingsHome to use a list format for better clarity regarding local data deletion consequences. - Removed unused 'tauri-commands' route from settings navigation for cleaner code. - Added validation for the encryption key in SkillSetupWizard to prevent invalid characters. - Updated the Gradient class to include additional checks for canvas element and WebGL context during initialization. - Improved error handling in SkillManager's `stopSkill` method for better debugging and reliability. * style: correct comment formatting in meshGradient.js - Updated comment syntax in the Gradient class to ensure proper code documentation and readability. * fix: add encryption key validation and remove double transition in dev setup - Validate devEncryptionKey for invalid characters (quotes, backslashes, control chars) before using as X-Encryption-Key header - Remove explicit onManualComplete() call — let the snapshot effect handle the connected→setup transition to avoid double-firing startSkill/startSetup Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: improve encryption key validation in SkillSetupWizard - Enhanced validation for the devEncryptionKey to check for quotes, backslashes, and control characters, ensuring only valid characters are accepted. - This change prevents potential issues when using the encryption key in the application. * fix: resolve lint errors in MeshGradient, meshGradient.js, and SkillSetupWizard - Fix canvasRef.current stale ref warning by capturing to local variable - Add eslint-disable for browser globals in vendored meshGradient.js - Replace control character regex with printable-range check - Remove unused onManualComplete from dependency array 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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a0abda956a |
Fix/encryption (#329)
* refactor: simplify OAuth deep link handling by removing client key fetch logic - Removed the client key share fetching logic from the OAuth deep link handler, simplifying the process. - Updated logging to reflect the success of the OAuth process and the presence of the client key share directly from URL parameters. - Adjusted comments to maintain clarity in the flow of the deep link handling function. * feat: trigger initial sync after successful OAuth completion - Updated the OAuth deep link handler to automatically trigger an initial data sync upon successful authentication, enhancing data availability for skills. - Adjusted comments to clarify the new behavior and its integration with the skill runtime, ensuring immediate data fetching post-authentication. * feat: trigger initial sync on startup if credentials are present - Added logic to check for persisted OAuth credentials at startup and trigger an initial data sync if found, ensuring immediate data availability for skills. - Enhanced logging to provide feedback on the sync process, including success and failure messages for better monitoring. * refactor: enhance logging format and improve initial sync comments - Updated logging format in `logging.rs` to remove angle brackets from log levels and adjust time formatting for consistency. - Improved comments in `instance.rs` to clarify the non-blocking nature of the initial sync process, enhancing code readability and understanding. * refactor: remove automatic initial sync on startup and after auth completion - Eliminated the logic that triggered an initial sync automatically at startup if credentials were present or after successful OAuth completion, shifting to a manual or cron-scheduled sync approach. - Updated comments to clarify the new sync behavior, enhancing code readability and understanding. |
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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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Steven EnamakelandGitHub
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fa1c618ca9 |
feat: add skills CLI for standalone skill development runtime (#323)
* feat(cli): add skills command for skill development runtime - Introduced a new `skills` command in the CLI to facilitate skill development, allowing users to run, list, start, call, and test skills. - Added a dedicated `skills_cli` module to handle the new command's functionality. - Updated the general help output to include usage instructions for the `skills` command, enhancing user guidance. * refactor(skills_cli): replace logging initialization with quiet logging function - Updated the `run_skills_list`, `run_skills_start`, `run_skills_call`, and `run_skills_test` functions to use a new `init_quiet_logging` function for improved logging behavior. - Introduced `init_quiet_logging` to set the logging level to `warn` unless verbose mode is enabled, streamlining logging setup for non-server subcommands. * refactor(skills_cli): improve code formatting and readability - Reformatted several functions in `skills_cli.rs` for better readability, including `bootstrap_skills_runtime`, `run_skills_server`, and `run_skills_list`. - Enhanced logging statements for clarity and consistency. - Updated help output formatting in `print_skills_help` and other functions to improve user guidance. - Streamlined error handling and JSON parsing in `run_skills_call` and `run_skills_list` functions. |
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Steven EnamakelandGitHub
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ef708bdd20 |
refactor(core): move app state ownership into the Rust core (#320)
* refactor(core): integrate CoreStateProvider and streamline state management - Replaced UserProvider with CoreStateProvider in App component to centralize state management. - Updated various components to utilize the new CoreStateProvider for accessing session tokens and user data. - Refactored hooks and components to eliminate direct Redux store dependencies, enhancing modularity and maintainability. - Introduced a new core state management structure to improve the handling of user authentication and onboarding states. This refactor aims to simplify state access across the application and improve overall code clarity. * fix: restore polyfills import and clean up component imports - Reintroduced the import of polyfills in main.tsx to ensure compatibility. - Adjusted import statements in PrivacyPanel and SocketProvider for consistency. - Simplified conditional expressions in TeamInvitesPanel and TeamMembersPanel for better readability. - Refactored CoreStateProvider and store.ts to streamline state initialization. - Enhanced formatting in various files for improved code clarity and maintainability. * refactor(tests): streamline onboarding and protected route tests - Updated OnboardingOverlay tests to utilize mock state management and simplify assertions. - Refactored ProtectedRoute tests to improve readability and ensure consistent use of mock state. - Enhanced teamApi tests to replace direct API calls with core RPC method calls, improving test isolation and clarity. - Adjusted socketSelectors tests to utilize a centralized core state snapshot for better state management during tests. * refactor(onboarding): simplify onboarding state management and improve loading logic - Removed unnecessary local state for onboarding completion in OnboardingOverlay, directly utilizing snapshot data. - Enhanced loading logic to prevent unnecessary renders and improve user experience during onboarding. - Updated PrivacyPanel to handle analytics consent persistence with error handling. - Refactored TeamManagementPanel and TeamPanel to improve team data fetching logic and loading states. - Streamlined CoreStateProvider to manage session token synchronization and state updates more effectively. * chore(deps): update tempfile dependency and refactor app state management - Added `tempfile` dependency to Cargo.toml for improved temporary file handling. - Refactored app state loading and saving functions to enhance error handling and ensure data integrity. - Introduced quarantine mechanism for corrupted app state files to prevent application crashes. - Updated URL parsing logic to ensure proper formatting of API URLs. - Adjusted type definitions in schemas for better clarity and consistency. * refactor(tests): simplify mock state usage in onboarding and protected route tests - Consolidated mock state management in OnboardingOverlay and ProtectedRoute tests for improved readability. - Streamlined assertions by reducing unnecessary lines in test setups. - Enhanced consistency in mock return values across tests to ensure clarity and maintainability. * refactor(tests): enhance PublicRoute tests with mock state and routing - Updated PublicRoute tests to utilize MemoryRouter for improved routing simulation. - Simplified mock state management by integrating `useCoreState` for user authentication scenarios. - Streamlined test assertions and removed redundant preloaded state configurations for clarity and maintainability. * refactor(tests): streamline mock state usage in PublicRoute and Mnemonic tests - Simplified mock state management in PublicRoute and Mnemonic tests for improved readability. - Consolidated mock return values to reduce redundancy and enhance clarity in test setups. - Improved consistency in the usage of `useCoreState` across test files. * Refactor billing components for improved readability - Cleaned up import statements in BillingPanel.tsx for better organization. - Enhanced formatting of billing plan descriptions in billingHelpers.ts for consistency. - Improved readability of conditional checks in BillingPanel component. * Refactor API endpoint handling for clarity and consistency - Updated references from `/settings` to `/auth/me` in various modules to standardize user authentication flows. - Renamed `parse_settings_response_json` to `parse_api_response_json` for improved clarity in response handling. - Adjusted user ID extraction functions to reflect the new endpoint structure, enhancing maintainability across the codebase. - Updated test cases to align with the new endpoint naming conventions, ensuring consistency in API interactions. |
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Steven EnamakelandGitHub
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90f7a0dc54 |
feat(webhooks): add developer webhook debug panel (#314)
* feat(webhooks): add Webhooks Debug Panel and related functionality - Introduced a new Webhooks Debug Panel for inspecting registered webhook tunnels and viewing captured request/response logs. - Added necessary backend support for listing webhook registrations and logs, as well as clearing logs. - Updated Developer Options to include a route for the new Webhooks Debug Panel. - Enhanced core RPC client to support new webhook-related commands and events. - Implemented logging and error handling for webhook requests in the backend. This feature enhances developer tooling for monitoring and debugging webhook interactions. * feat(webhooks): add Webhooks Debug Panel and related functionality - Introduced a new Webhooks Debug Panel for inspecting registered webhook tunnels and captured request logs. - Added functionality to list webhook registrations and logs, clear logs, and display real-time updates. - Updated Developer Options to include the new Webhooks section. - Enhanced core RPC client to support new webhook-related commands and events. - Implemented backend support for webhook event handling and logging. This feature aims to improve developer tooling for monitoring and debugging webhook interactions. * feat(webhooks): enhance TunnelList and useWebhooks for echo registration - Updated TunnelList component to include functionality for registering and unregistering echo for tunnels. - Enhanced useWebhooks hook to support echo registration and unregistration, including real-time updates for tunnel activity. - Added connection status display in the Webhooks page to indicate the connection state to the core service. - Improved error handling and user feedback for echo toggle actions in the TunnelCard component. These changes improve the user experience for managing webhook tunnels and their associated echo registrations. * refactor(webhooks): streamline import of WebhookActivityEntry type - Removed redundant import statement for WebhookActivityEntry in useWebhooks.ts. - Updated the import to use a direct reference from the webhooksSlice, improving code clarity and maintainability. * ran formatter |
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bd8d3ed15a |
fix(memory): clean up unused JWT token parameter in memory init (#204) (#300)
* 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 * fix: clean up unused JWT token parameter in memory init Memory is local-only (SQLite). The from_token() method accepted a JWT but ignored it, always falling back to new_local(). Remove the dead method, make jwt_token optional in MemoryInitRequest for backward compat, and document the local-only design. Closes #204 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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sanil-23andGitHub
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945a5c4a02 |
feat: subconscious loop — local-model background awareness via heartbeat (#268)
* feat: subconscious loop — local-model background awareness via heartbeat Add a subconscious inference layer to the heartbeat engine. On each tick, the engine reads HEARTBEAT.md tasks, builds a delta-based situation report (memory docs, graph relations, skills health, environment), and evaluates them with the local Ollama model. Architecture: - HeartbeatEngine (scheduler) delegates to SubconsciousEngine (brain) - HeartbeatConfig extended with inference_enabled, context_budget_tokens - No separate SubconsciousConfig — all config lives under [heartbeat] - Default HEARTBEAT.md ships with 3 active tasks (email, deadlines, skills) Subconscious module (src/openhuman/subconscious/): - engine.rs: tick logic, local model inference, escalation to cloud model - situation_report.rs: delta assembler (memory, graph, skills, env, tasks) - prompt.rs: task-driven system prompt for local model - decision_log.rs: dedup tracking with 24h TTL and acknowledgment - types.rs: Decision (noop/act/escalate), TickOutput, RecommendedAction - schemas.rs: RPC controllers (subconscious_status, subconscious_trigger) - integration_test.rs: two-tick lifecycle test with fixtures Decision flow: - noop: no changes, skip — no LLM call wasted - act: local model recommends actions → stored in memory KV - escalate: calls cloud model to resolve → concrete actions stored Verified with real Ollama inference (gemma3:4b): - Tick 1: ingested gmail+notion → "act: deadline needs attention" (high) - Tick 2: ingested state changes → "act: deadline moved" (high) - Skills health section populated from live skill registry Closes #145 * feat: add subconscious_actions RPC endpoint New endpoint openhuman.subconscious_actions returns stored action entries from the subconscious KV namespace, sorted by most recent first, with configurable limit (default 20). Response format: { "entries": [ { "tick_at": 1775117975.58, "actions": [...] } ], "count": 1 } The upcoming subconscious page will call this to display notifications and recommended actions to the user. * fix: budget underflow and UTF-8 panic in situation report truncation - Use saturating_add for newline byte to prevent underflow when section exactly fills the remaining budget - Truncate at valid UTF-8 char boundary using char_indices instead of raw byte slicing, which panicked on multibyte characters - Add tests for exact-fit and multibyte truncation * fix: address CodeRabbit review — shared engine, dedup, consistent schema Fixes from CodeRabbit review on PR #268: - #8 Two engine instances: Add global.rs singleton shared between HeartbeatEngine::run() and RPC handlers. Both use get_or_init_engine() so decision log, counters, and last_tick_at are always in sync. - #3 Dedup disabled: tick() now extracts actual document IDs from memory via build_situation_report_with_doc_ids() and passes them to decision_log.record(). filter_unsurfaced() actually filters now. - #5 Decision log not loaded on trigger: tick() loads persisted log from KV on first execution (total_ticks == 0), not only from run(). - #4 Inconsistent action schema: handle_escalation() normalizes agent response into RecommendedAction[] via normalize_escalation_response(). Both act and escalate paths store the same schema. - #7 Key collision: store_actions() uses millisecond timestamp + random suffix instead of second-precision truncation. - #10 No-changes unreachable: tick() checks has_new_data (unsurfaced doc IDs) OR has_memory_changes (report text) instead of naive string matching on environment section. * fix: include document content in situation report, not just titles The local model needs actual content to evaluate HEARTBEAT.md tasks meaningfully. Previously it only saw titles like "Deadline reminder" with no way to know if it's urgent. Now recalls content per namespace (up to 500 chars each, max 10 namespaces) via client.recall_namespace(). The model sees actual email text and page content alongside the task checklist. * fix: timestamp parsing, byte-boundary slicing, and truncation overshoot - schemas.rs: split on first ':' after 'actions:' prefix before parsing timestamp, so keys like 'actions:123456:xyz' parse correctly - situation_report.rs: use truncate_at_char_boundary() for error strings instead of raw byte slice which panics on multibyte characters - situation_report.rs: fix append_section and truncate_at_char_boundary to use char END offset (i + len_utf8) in take_while condition, so multibyte chars that start before but end after the budget are excluded |
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YellowSnnowmannandGitHub
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c09983b49b |
feat(about_app): add a runtime capability catalog for app discovery (#267)
* feat(about_app): introduce user-facing capability catalog - Added a new module for the capability catalog, providing a single source of truth for user-facing features in the OpenHuman app. - Implemented functions for listing, looking up, and searching capabilities, enhancing user interaction with the app's features. - Created a structured schema for capabilities, including categories and statuses, to improve organization and accessibility. - Added comprehensive end-to-end tests to validate the functionality of the new capability catalog, ensuring robust performance and reliability. This update significantly enhances the app's ability to expose its features to users, improving overall usability and experience. * feat(about_app): update capability catalog with new features and improved instructions - Revised existing capability instructions for clarity and accuracy, enhancing user guidance on accessing features. - Introduced several new capabilities related to skills and authentication, including connections to Google, Notion, and Web3 wallets, expanding the app's functionality. - Added new settings management capabilities, allowing users to manage desktop services and clear app data, improving user control over the application. These updates significantly enhance the capability catalog, providing users with more options and clearer instructions for utilizing the app's features. |
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cf344facf9 |
feat(voice): dedicated voice assistance module for STT/TTS (#178)
* feat(voice): add dedicated voice assistance module for STT/TTS Extracts speech-to-text (whisper.cpp) and text-to-speech (piper) into a dedicated `src/openhuman/voice/` domain module with its own RPC namespace (`openhuman.voice_*`). Adds proactive availability checking via `voice_status` so the UI can show clear errors when binaries/models are missing instead of failing silently at transcription time. - New module: voice/types.rs, voice/ops.rs, voice/schemas.rs, voice/mod.rs - 4 RPC endpoints: voice_status, voice_transcribe, voice_transcribe_bytes, voice_tts - 21 unit tests + 1 integration test (json_rpc_e2e) - Frontend updated to use voice_* endpoints with status check on mode switch Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: fix cargo fmt in voice/ops.rs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test(e2e): add voice mode integration spec Tests switching to voice input mode, verifying status check fires, recording button renders, and switching back to text mode restores text input. Also checks reply mode toggle visibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove unused waitForText import in voice-mode e2e spec Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(voice): in-process whisper engine and LLM post-processing - Add whisper-rs (0.16) for in-process whisper.cpp inference, eliminating cold-start latency from subprocess-per-call (~1-3s) to warm inference (~50ms). Model is loaded once during bootstrap and reused across calls. Falls back to whisper-cli subprocess if in-process loading fails. - Add LLM post-processing layer that passes raw transcription through Ollama to fix grammar, punctuation, and filler words. Accepts optional conversation context to disambiguate names and technical terms. Gracefully degrades to raw whisper output if Ollama is unavailable. - Update voice RPC endpoints with new optional params (context, skip_cleanup) and return both cleaned text and raw_text. - Update frontend to pass conversation history as context for voice transcription cleanup, and update TypeScript interfaces to match. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt formatting fixes Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(build): make whisper-rs optional behind `whisper` feature flag The whisper-rs crate requires cmake to compile whisper.cpp from source, which is not available in the CI environment. Move it behind an optional cargo feature so CI builds succeed without cmake. The whisper_engine module now compiles as a no-op stub when the feature is disabled, returning "whisper feature not compiled in" errors. Desktop builds can opt in with `--features whisper`. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: cargo fmt whisper_engine.rs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): make whisper-rs mandatory and install cmake in CI Revert whisper-rs from optional to mandatory dependency. Add cmake installation to all CI workflows (build, typecheck, test, release) and the CI Docker image so whisper-rs can compile whisper.cpp from source. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: cargo fmt whisper_engine.rs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address code review findings across voice module - whisper_engine: validate WAV sample rate (must be 16kHz) and channel count (1 or 2) before feeding audio to whisper - speech: offload load_engine and transcribe_in_process to tokio::task::spawn_blocking to avoid blocking the Tokio runtime - ops: use RAII guard for WHISPER_BIN env var in test to prevent races and ensure restore on panic; log temp file cleanup failures instead of silently ignoring; sanitize paths in debug logs to basenames only - postprocess: add test for disabled cleanup config returning raw text - voice-mode.spec: assert failure when neither voice CTA nor unavailable message appears; make reply mode test runnable in isolation with auth/nav setup Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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6f8b5d6c9f |
feat(docker): Dockerfile, cloud server support, and parallel release pipeline (#174)
* added doceker build * added docker files * feat(ci): add Docker build phase to release pipeline and .dockerignore Restructure release.yml into parallel build phases: build-desktop (matrix) and build-docker run concurrently after create-release. Docker image is pushed to GHCR and pull instructions are appended to release notes. publish-release now gates on both phases succeeding. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt to jsonrpc host binding Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(review): address PR review findings - .env.example: comment out OPENHUMAN_CORE_HOST so Docker's 0.0.0.0 default isn't overridden when users copy the example file - cli.rs: add --host to print_general_help() usage line for consistency - jsonrpc.rs: use tuple bind (host, port) for IPv6 support, add debug logging with source tracking (CLI/env/default) before bind - release.yml: push only staging tag in build-docker, promote to versioned + latest in publish-release after all builds succeed; cleanup-failed-release deletes the staging image on failure 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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YellowSnnowmannandGitHub
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64eb513071 |
feat(billing, team): add billing and team management RPC functionality (#159)
* feat(billing, team): add billing and team management RPC functionality - Introduced billing module with methods for fetching current plans, purchasing plans, creating portal sessions, and topping up credits. - Added team management module with methods for listing team members, creating invites, listing invites, removing members, and changing member roles. - Updated core registry to include new billing and team controllers and schemas, enhancing the overall functionality of the application. - Implemented comprehensive tests for billing and team RPC methods to ensure reliability and correctness. These additions improve the application's capabilities in managing billing and team functionalities, providing a more robust user experience. * refactor(billing, team): improve code readability and structure * fix(billing, team): enhance error handling and response structure - Improved error handling in to provide clearer error messages when reading response bodies. - Updated validation in to ensure is a finite number greater than zero. - Refined output schemas for billing and team functions to include more descriptive fields, enhancing API clarity. - Introduced a new function to standardize URL path construction, improving code maintainability. - Added tests to verify the correctness of new output structures and API path building. These changes enhance the robustness and usability of the billing and team management functionalities. * feat(billing, team): add gateway normalization and route redaction functionality - Introduced function to standardize payment gateway inputs, ensuring only valid options (stripe, coinbase) are accepted, with defaults and error handling. - Enhanced function to utilize the new gateway normalization logic, improving input validation. - Added function to obscure sensitive identifiers in API route paths, enhancing security in logging. - Implemented unit tests for both and to ensure correctness and reliability of the new features. These changes improve the robustness of billing operations and enhance security in route handling. |
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Steven EnamakelGitHubClaude Opus 4.6CodeRabbitcoderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> |
262390274d |
feat(auth): Telegram bot registration flow — /auth/telegram endpoint (#150)
* feat(auth): add /auth/telegram registration endpoint for bot-initiated login When a user sends /start register to the Telegram bot, the bot sends an inline button pointing to localhost:7788/auth/telegram?token=<token>. This new GET handler consumes the one-time login token via the backend, stores the resulting JWT as the app session, and returns a styled HTML success/error page. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply cargo fmt to telegram auth handler Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: apply CodeRabbit auto-fixes Fixed 1 file(s) based on 2 unresolved review comments. Co-authored-by: CodeRabbit <noreply@coderabbit.ai> * update format --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Co-authored-by: CodeRabbit <noreply@coderabbit.ai> |
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c5e5ae170c |
ci: speed up GitHub Actions builds (~14m → ~3-5m warm) (#136)
* chore: add CI profile for faster compilation in Cargo.toml files - Introduced a new `[profile.ci]` section in both root and Tauri Cargo.toml files to optimize build settings for continuous integration. - Adjusted compilation parameters to prioritize speed over runtime performance, including reduced optimization level and enabled code generation units. * refactor(tests): update agent test setup to return temporary directory - Modified the `build_agent_with` function calls in the agent tests to return a temporary directory alongside the agent instance, improving resource management during tests. - Ensured consistency in test setup across multiple test functions. * chore: update .gitignore to include fastembed_cache - Added 'workflow' and '.fastembed_cache' to the .gitignore file to prevent unnecessary files from being tracked in the repository. * test: enhance dispatch routing tests with panic handling Updated the `dispatch_routes_memory_doc_ingest` test to use `AssertUnwindSafe` and `catch_unwind` for better handling of potential panics during execution. This ensures that the test verifies route existence even if the handler encounters a panic, improving robustness against shared state issues in concurrent tests. * ci: speed up builds with rust-cache, sccache, mold linker, and CI profile - Replace manual Cargo registry cache with Swatinem/rust-cache@v2 (caches target/ directories for both core and Tauri crates) - Add mozilla-actions/sccache for cross-branch compilation caching - Install mold linker on Linux for faster linking - Use --profile ci for sidecar build (opt-level 1, codegen-units 16) - Override release profile env vars for Tauri build with CI-tuned settings - Add --bundles none to CI build (skip unused deb/appimage packaging) - Restrict push triggers to main branch only (PRs already cover feature branches, preventing duplicate runs) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): unset RUSTC_WRAPPER for cargo fmt to avoid sccache errors The sccache-action sets RUSTC_WRAPPER globally for the job. cargo fmt invokes rustc through sccache which fails if the GHA cache service is unavailable. Clear RUSTC_WRAPPER for fmt steps and remove redundant per-step env overrides (the action already sets them job-wide). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: implement Default trait for various structs and enums - Added Default implementations for ConnectionStatus, AgentBuilder, NativeRuntime, AutocompleteEngine, CliChannel, ActionTracker, SkillStatus, and ExtractionMode to streamline object initialization. - Simplified condition checks in several places by replacing map_or with is_some_and and is_none_or for better readability and performance. - Updated various instances of string handling in message sending to remove unnecessary conversions. This refactor enhances code clarity and consistency across the codebase. * style: clean up whitespace and improve code formatting - Removed unnecessary blank lines in several files to enhance code readability. - Simplified condition checks by consolidating method calls into single lines for better clarity. - Improved formatting in various functions to maintain consistency across the codebase. * fix(ci): use --bundles deb instead of unsupported none value Tauri CLI on this version doesn't support 'none' as a bundle type. Use 'deb' as the lightest single bundle to minimize packaging time. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(ci): add Dockerfile and CI workflows for building and pushing Docker images - Introduced a Dockerfile to set up a CI environment with necessary dependencies for Tauri, Rust, Node.js, and sccache. - Created a new workflow to build and push the CI Docker image to GitHub Container Registry on main branch pushes. - Updated existing workflows to utilize the new Docker image for building and testing, enhancing consistency and efficiency in CI processes. * chore(ci): update container image references in CI workflows - Removed unnecessary permissions for packages in build, test, and typecheck workflows. - Updated container image references to use a specific digest instead of the latest tag for improved stability and reproducibility in CI processes. * fix(ci): use correct amd64 Docker image digest Previous digest was from arm64 build (Mac). Rebuilt with --platform linux/amd64 for GitHub Actions runners. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): use tag instead of digest for Docker image reference GHCR doesn't support pulling OCI index manifests by digest reliably. Use the rust-1.93.0 tag which is pinned to a specific Rust version and resolves correctly on amd64 CI runners. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): rename Docker package to openhuman_ci Move from nested ghcr.io/tinyhumansai/openhuman/ci-runner to ghcr.io/tinyhumansai/openhuman_ci to avoid GHCR nested package manifest resolution issues. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(ci): remove sccache env vars from container jobs sccache can't access the GHA cache API from inside a Docker container (missing ACTIONS_CACHE_URL/ACTIONS_RUNTIME_TOKEN). Swatinem/rust-cache already caches target/ which provides the main build speedup. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: update installer smoke workflow to trigger on main branch pushes - Added a trigger for the installer smoke workflow to run on pushes to the main branch, enhancing CI coverage for mainline changes. * fix: enhance Sentry DSN retrieval logic - Updated the Sentry DSN retrieval process to include an additional fallback option using `option_env!`, ensuring that the DSN can be sourced from both environment variables and optional configuration, improving robustness in observability setup. * chore: add OPENHUMAN_SENTRY_DSN to release workflow and example secrets - Included the OPENHUMAN_SENTRY_DSN variable in the release workflow configuration to enhance observability setup. - Updated the ci-secrets.example.json file to include a placeholder for OPENHUMAN_SENTRY_DSN, providing clarity for developers on required environment variables. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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sanil-23andGitHub
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600dab4336 |
refactor: migrate memory service to controller registry pattern (#138)
Move all 23 memory RPC methods from legacy dispatch (src/rpc/dispatch.rs) to the controller registry pattern with typed schemas. - Create src/openhuman/memory/schemas.rs with 23 ControllerSchema definitions, RegisteredController entries, and handler functions - Wire memory controllers into src/core/all.rs registry builders - Remove all memory.* and ai.* branches from dispatch.rs (only security_policy_info remains) - Update frontend to use openhuman.memory_* method names directly in tauriCommands.ts (no legacy aliases needed) - Move ai.list_memory_files/read/write into memory namespace as openhuman.memory_list_files/read_file/write_file - Update jsonrpc.rs and tauriCommandsMemory test method strings Methods are now accessible via both JSON-RPC (openhuman.memory_*) and CLI (openhuman memory <function>). |
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906b55b63e |
feat(observability): add Sentry error reporting to Rust core (#131)
* chore(workflows): comment out Windows smoke tests in installer and release workflows * feat(observability): integrate Sentry for error reporting and add configuration support - Added Sentry integration for error reporting in the application, initializing it in the main function. - Introduced a new environment variable `OPENHUMAN_SENTRY_DSN` to configure Sentry DSN. - Updated the observability configuration schema to include a field for Sentry DSN. - Enhanced logging to include Sentry event filtering based on log levels. - Implemented secret scrubbing to protect sensitive information in error reports. * feat(analytics): add support for anonymized analytics settings - Introduced new environment variable `OPENHUMAN_ANALYTICS_ENABLED` to enable or disable anonymized analytics and crash reports. - Updated the PrivacyPanel component to sync analytics consent with the core configuration. - Added new functions to handle analytics settings updates and retrieval in the Tauri backend. - Enhanced observability configuration to include analytics settings, defaulting to enabled. - Updated relevant schemas and handlers for analytics settings in the backend. * refactor(tauriCommands): improve formatting and structure of analytics settings function - Reformatted the `openhumanUpdateAnalyticsSettings` function for better readability by adjusting the parameter structure. - Enhanced the output formatting in the `handle_get_analytics_settings` function for improved clarity in the JSON response. * feat(analytics): sync analytics consent to core RPC and improve anonymization copy Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Mega MindandGitHub
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52b59f62d7 |
test: add cross-stack coverage for core and tauri flows (#130)
* Add unit tests for Mnemonic page - Introduced comprehensive tests for the Mnemonic page, covering initial render, copy to clipboard functionality, confirmation checkbox behavior, and mode switching between generate and import. - Validated user interactions, including input handling and button states, ensuring robust functionality and user experience. - Enhanced test coverage for various scenarios, including validation of mnemonic phrases and loading states during operations. * test: add cross-stack test coverage for core and tauri flows Add focused Rust and frontend tests for core process startup behavior, CLI argument parsing, JSON-RPC error handling, and Tauri command/RPC mapping paths to improve confidence for issue #57. Closes #57 Made-with: Cursor * refactor(tests): streamline test code and improve readability Consolidate mock imports and simplify function calls in coreRpcClient tests. Adjust formatting in Rust core_process and CLI tests for better clarity. Update mnemonic test assertions for improved accuracy. Made-with: Cursor |
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sanil jain
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16e5ac543c | Add core memory RPC surface | ||
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fe277e1ef2 |
docs: REPL / interactive shell design (#92) (#96)
* docs: design document for openhuman REPL / interactive shell (#92) Design-first writeup covering problem statement, UX sketch with example sessions (skills + non-skill flows), architecture showing how the REPL reuses existing invoke_method/controller registry/RuntimeEngine without duplicating logic, safety rules for secret redaction, and phased implementation milestones (MVP → skills commands → script/batch mode). Closes #92 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: update dependencies and enhance onboarding logic - Updated Cargo.lock and Cargo.toml to include new dependencies: `clipboard-win`, `endian-type`, `error-code`, `fd-lock`, `home`, `nibble_vec`, `radix_trie`, `rustyline`, and `unicode-segmentation`. - Enhanced the OnboardingOverlay component to wait for user profile loading before checking onboarding status, improving user experience during onboarding. - Adjusted dependency versions and added features for `rustyline` in Cargo.toml. * feat(repl): implement interactive REPL for OpenHuman core - Added a new REPL module to provide an interactive shell for users, allowing command execution and evaluation. - Integrated REPL functionality into the CLI, enabling commands like `openhuman repl` and support for options such as `--eval` and `--batch`. - Enhanced command parsing and execution flow to maintain consistency with existing JSON-RPC server logic, ensuring no duplication of functionality. - Updated CLI help documentation to include REPL usage instructions. - Introduced Apple certificate import and code signing steps in the GitHub Actions workflow for macOS, enhancing sidecar security. This commit lays the groundwork for a more interactive user experience and strengthens the security of the sidecar binary. * refactor(repl): remove tool_warning_shown field from ReplState - Eliminated the `tool_warning_shown` boolean field from the `ReplState` struct, simplifying the state management within the REPL module. - Updated the constructor to reflect the removal of this field, ensuring consistency in the initialization of `ReplState`. * refactor(build): simplify Tauri build command in workflow - Removed unnecessary parameters from the Tauri build command in the GitHub Actions workflow, streamlining the build process. - Improved readability of the build configuration by eliminating redundant options. * chore(tauri): update build targets in tauri.conf.json - Changed the build targets from a single string to an array, specifying individual target formats for improved clarity and flexibility in the build process. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Steven EnamakelandGitHub
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14dc860a21 |
Skills runtime, onboarding, deep links, and core RPC refinements (#95)
* feat(telegram): implement Telegram channel and attachment handling - Added `TelegramChannel` struct for managing Telegram Bot API interactions, including user management and message handling. - Introduced attachment parsing with `TelegramAttachment` and `TelegramAttachmentKind` to support various media types. - Implemented functions for parsing attachment markers and validating URLs, enhancing message processing capabilities. - Created a new module structure for Telegram, including `attachments`, `channel`, and `text` for better organization and maintainability. * feat(skills): implement skills registry management and E2E testing - Added functionality for fetching, searching, installing, and uninstalling skills from a remote registry. - Introduced new modules for registry operations and types, enhancing the skills management system. - Implemented E2E tests for skills registry interactions, ensuring robust functionality and integration. - Updated documentation to reflect new skills registry features and usage instructions. * refactor(coreRpcClient): remove socket RPC handling and streamline HTTP request logging - Eliminated socket-based RPC handling to simplify the core RPC client logic. - Updated logging to use a unified debug logger for both HTTP requests and errors. - Improved error handling for HTTP responses to ensure clarity in error reporting. * feat(skills): enhance skill setup handling and improve error management - Updated SkillActionButton to directly open the setup modal for skills requiring OAuth, bypassing the QuickJS runtime. - Enhanced SkillSetupWizard to handle OAuth configuration more effectively, ensuring smoother transitions during skill setup. - Improved error handling during skill startup and setup processes, providing clearer logging for failures. - Refactored skills loading logic in the Skills page to prioritize registry-based skill fetching, with fallback to runtime discovery. - Added skill installation handling in the Skills page, allowing for better user feedback during installation processes. * feat(deep-link): enhance OAuth handling and streamline token management - Updated desktopDeepLinkListener to improve skill connection handling after OAuth completion. - Introduced setSkillSetupComplete action to mark skills as connected immediately post-OAuth. - Refactored token fetching logic to ensure encrypted tokens are stored correctly, enhancing error handling and reducing redundant checks. - Added new permissions in default.json for improved window management capabilities. * feat(skills): enhance skill management with global engine and runtime controllers - Added global engine management for skill runtime access, allowing RPC handlers to interact with the runtime engine. - Introduced new runtime controllers for skills, including start, stop, status, setup_start, list_tools, sync, and call_tool, enhancing skill lifecycle management. - Updated schemas to include new skill controller functionalities, improving the overall skills management system. - Enhanced documentation and comments for clarity on new features and usage. * refactor(skills): update global engine management and enhance documentation - Replaced OnceLock with RwLock for the global RuntimeEngine, allowing for better testability and flexibility in engine management. - Updated the global_engine and require_engine functions to return cloned Arc references, improving usability. - Enhanced documentation comments for clarity on the global engine's usage and behavior in production and testing scenarios. * chore(todos): update TODO list with removal of Tauri from Rust core - Added a new item to the TODO list indicating the need to remove Tauri from the OpenHuman Rust core, streamlining the project structure. * feat(onboarding): revamp onboarding steps and introduce local AI model consent - Replaced the PrivacyStep with a new ScreenPermissionsStep to handle accessibility permissions. - Added LocalAIStep for user consent on local AI model usage and download initiation. - Introduced SkillsStep and ToolsStep for selecting skills and enabling tools during onboarding. - Updated onboarding state management to include local model consent, download status, and enabled tools. - Enhanced the overall onboarding flow with new components and improved user experience. * feat(onboarding): enhance onboarding flow with new WelcomeStep and updated LocalAIStep - Introduced a new WelcomeStep to guide users through the onboarding process. - Updated LocalAIStep to clarify local AI model usage and consent, including improved messaging on privacy and resource impact. - Enhanced ScreenPermissionsStep to emphasize local processing of accessibility data. - Adjusted total steps in onboarding to reflect the addition of the WelcomeStep, improving user experience. * refactor(tray): remove tray integration and related functionalities - Deleted the tray module and its associated operations, streamlining the project structure. - Removed references to Tauri app handle in various components, transitioning to a memory client for skill data persistence. - Updated skill instances and event loops to eliminate dependencies on tray functionalities, enhancing modularity. - Improved documentation to reflect the removal of tray-related features and clarify the new architecture. * feat(onboarding): introduce OnboardingOverlay and enhance onboarding flow - Added OnboardingOverlay component to display the onboarding process as a full-screen overlay when the user is not onboarded. - Updated the Onboarding component to include a new MnemonicStep for recovery phrase management. - Enhanced onboarding state management to track workspace onboarding flags and user onboarding status. - Refactored AppRoutes to streamline routing and integrate the new onboarding flow. - Removed deprecated onboarding logic from previous steps, improving overall user experience. * refactor(sidebar): simplify hidden paths and update ProtectedRoute tests - Removed '/onboarding' from the hiddenPaths in MiniSidebar to streamline route visibility. - Updated ProtectedRoute tests to reflect changes in onboarding handling, ensuring children render correctly when authenticated. * chore: format, fix E2E lint, and onboarding step polish Made-with: Cursor * style(onboarding): update background color for onboarding steps - Changed background color from black/30 to stone-900 for improved visual consistency across LocalAIStep, MnemonicStep, ScreenPermissionsStep, SkillsStep, ToolsStep, and WelcomeStep components. - Enhanced overall aesthetics of the onboarding flow. * fix(tests): update variable naming and comment out unused JavaScript content - Renamed workspace variable to `_ws` to indicate it is unused in the `test_registry_cache_ttl_expired` test. - Commented out the `js_content` variable to prevent unused variable warnings in the test setup. * refactor(tests): streamline JSON-RPC test setup and remove unused backend URL handling - Updated the JSON-RPC end-to-end test to always use the in-process Axum mock for backend settings, ensuring consistent test behavior. - Removed the conditional logic for external backend URLs, simplifying the test setup. - Ensured proper cleanup of mock join handles after test execution. * refactor(runtime): update skill startup process to use core RPC - Replaced the direct call to `runtimeStartSkill` with a `callCoreRpc` method for starting skills, enhancing the integration with the core RPC system. - Updated comments to reflect the new implementation details. - Made minor adjustments to the schema organization in Rust for better clarity on runtime controllers. |