# content
Project activity for April 27, 2026:

agents.happitec.com

9 commits

Enhanced prompt UI with Liquid Glass styling and contextual rendering: Implemented a Liquid Glass overlay for interactive permission prompts on the home screen, and enabled rendering of tool_input directly in the prompt row (iOS/macOS #153) alongside an extended view in a popover for status history (iOS/macOS #137), improving clarity and reducing context-switching.

Interactive notification system: Added interactive permission prompts on the home screen, allowing users to grant/deny permissions without exiting the app flow (#146).

State management refinement: Fixed a critical edge case by defaulting unknown or undefined states to idle, ensuring predictable behavior during initialization or recovery scenarios (#140).

Infrastructure & release readiness: Conducted multiple OTA-enabled version bumps (1.0.14–1.0.18) across iOS and macOS builds to support incremental feature delivery, and integrated HappitecReleaseNotes for iOS to streamline release communication.

dash-agent

2 commits

Surfaced current_tool_input in agent_state, enabling real-time visibility into the exact raw input being processed by the active tool; this allows debugging, auditing, and potential client-side validation or UI feedback during tool execution—improving observability and error diagnostics without altering the underlying agent logic.

dash-github-actions

1 commit

Added visual trend indicators (squares) to ephemeral runner cards to surface real-time performance shifts, improving users’ ability to quickly assess dynamic system behavior without navigating to detailed reports;

The implementation introduces a lightweight, ephemeral data visualization layer that adapts to transient states—enabling faster triage and decision-making in time-sensitive operational contexts.

ota-app

1 commit

Platform-specific app filtering: Implemented logic to hide macOS applications from the iOS device list in the app discovery or management interface, ensuring a cleaner, platform-appropriate user experience—this resolves cross-platform confusion and prevents incompatible pairing attempts.

Version bump to 1.0.1/9: Incremented the version to reflect the above fix, aligning with release management best practices for internal builds or early adoption tracking.

package-paper-destruction

21 commits

Reorganized project structure by extracting the editor logic into a dedicated RipEditor Swift Package target, moving sources and tests from RipPlayground to enable modularization, public API exposure (RipEditorView and its initializer), and cleaner dependency management (including updating the iOS deployment target to v18 to match related components like WorldCanvas and MultitouchHandler).

Implemented core rendering and serialization infrastructure for collage artifacts, including a .collage-format WireFormat.V1.Document codec, runtime CompositionState types, and robust round-trip + tolerant-decode tests—laying the groundwork for reliable document persistence and state management.

Enhanced test coverage with smoke tests for renderComposition and a new CompositionRenderView, while adding @MainActor isolation to ensure thread safety in UI-critical rendering code.

Standardized the Plan A OTA cut process by updating bundle identifiers and display names in RipPlayground, incorporating happitec-release-notes for automated release tracking, and documenting the extraction strategy (WashiTape Plan A) alongside acceptance criteria and design specs to align engineering with product goals.

tailnet-webhook-mcp

1 commit

Enhanced tool input sanitization and event propagation: Implemented forwarding of sanitized tool_input payloads through the pre_tool_use hook, ensuring sensitive or malformed data is redacted or normalized before tool execution—this improves security, debuggability, and consistency across tool invocations by standardizing input at the hook layer.

tailnet-webhook-receiver

1 commit

Enhanced debuggability and reproducibility of agent workflows: The system now persists truncated tool_input payloads directly in AgentState, ensuring that even when raw tool inputs exceed storage limits or contain sensitive data, a concise, consistent snapshot is retained for auditing, debugging, and error reconstruction—without compromising privacy or bloating state storage.

Improved robustness in tool execution pipelines: By explicitly handling truncation logic at the state-persistence layer, the change decouples input sanitization from tool logic, allowing downstream components to safely rely on AgentState for accurate, truncated historical records of tool interactions—critical for retry mechanisms, observability, and forensic analysis.