refactor: reset message IDs on new turn and add activity log handlers
- Reset assistant message and thought IDs when starting new agent turn
- Add comprehensive activity log handlers in session context
- Handle tool calls, results, and errors with proper state updates
- Add transcription and assistant chunk streaming handlers
- Improve audio playback with proper error handling and confirmation
- Use generateMessageId() for consistent ID generation
- Filter out transcription activity logs from chat
- Stop audio playback when real speech is detected
```
refactor: implement async agent creation flow with loading states
- Add loading states and request tracking to agent creation modal
- Move agent creation logic from parent to modal component
- Add automatic navigation to agent page after creation
- Implement requestId-based response matching for agent_created events
- Add audio output handling in session context
- Improve modal UX with disabled states during creation
```
refactor: improve agent notification types and fix activity curator
- Convert agent notifications to discriminated union (session/permission/status)
- Fix activity curator to properly handle typed session updates
- Serialize Date objects in AgentInfo for JSON compatibility
- Use activity curator for title generation context
- Reduce console.error to console.warn for non-critical WebSocket errors
- Improve spacing in agent stream views
- Delay title generation until 15+ updates available
```
feat: implement agent permission flow with gesture-based sidebar navigation
Add permission request/response system for agent tool calls with UI approval flow, implement swipeable agent sidebar with edge gesture detection, and enhance agent updates with stable message IDs for proper deduplication across reconnections.
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```
```
refactor: convert AgentManager to global singleton across sessions
Move AgentManager initialization from per-session to single global instance. Agents now persist across sessions, with sessions subscribing/unsubscribing to agent updates rather than creating/destroying agents.
```
Instead of showing tool_call and tool_call_update as separate events,
now merge them by toolCallId into a single MergedToolCall that updates
as new information comes in.
**Changes:**
- Added MergedToolCall type with start/end timestamps
- Renamed groupTextChunks to groupActivities with tool call merging logic
- Track tool calls by ID and merge all updates into single entry
- Replace ToolCallItem with MergedToolCallItem component
- AgentStreamView now uses groupActivities for unified grouping
**User Experience:**
- Each tool call appears once and updates in place
- Status changes from pending → in_progress → completed
- Input/output merge as they become available
- Cleaner, less noisy activity view
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**Agent Activity UI Improvements:**
- Create typed discriminated unions for SessionNotification updates
- Add AgentActivity component with specialized rendering for each update type
- Group consecutive text chunks into single messages (like main chat)
- Add collapsible tool call rendering with input/output details
- Add plan rendering with task status indicators
- Add fallback rendering for unknown activity types (badge + drawer)
**Agent Status Update Fix:**
- Fix agent killing not updating UI status
- Session now detects status change notifications and emits agent_status messages
- Agent manager delays agent deletion to allow status updates to propagate
- Frontend agent_status handler now receives proper updates
**Technical Details:**
- Created /packages/app/src/types/agent-activity.ts with typed session updates
- Created /packages/app/src/components/agent-activity.tsx with activity renderers
- Updated AgentStreamView to use grouped activities with useMemo
- Modified session.ts subscribeToAgent to emit agent_status on status changes
- Modified agent-manager.ts killAgent to delay deletion for status propagation
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- Add VolumeMeter component for realtime audio visualization
- Refactor input area to show volume meter in realtime mode
- Update button styling and layout for cleaner interface
- Improve text input integration with better visual hierarchy
- Add volume state tracking to Speechmatics audio hook
- Add agent working directory validation on creation
- Update agent prompt with better orchestration guidelines
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- Moved components and hooks into a new directory structure under `src/app` for better organization.
- Updated the main entry point to use `index.ts` and adjusted routing accordingly.
- Introduced new components such as `ActiveProcesses`, `AgentStreamView`, and `ConnectionStatus` to enhance the app's functionality.
- Removed deprecated components and hooks to streamline the codebase.
- Updated styles to align with the new theme structure and ensure consistency across the app.
This refactor aims to improve maintainability and scalability of the application.
- Introduced a Babel configuration file for the app.
- Updated various components and styles to utilize the new theme structure, replacing direct color references with palette-based colors for improved consistency and maintainability.
- Adjusted styles across multiple components to align with the new theme, enhancing the overall UI experience.
- Install react-native-vad and expo-audio-studio for voice detection
- Create use-realtime-audio hook for continuous recording + VAD segmentation
- Add Android FOREGROUND_SERVICE permissions for background mic access
- Update UI components with Lucide icons and markdown rendering
- Add npm overrides to resolve peer dependency conflicts with Expo SDK 54
- Integrate realtime mode toggle with pulse animation for speech detection
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Allow setting session mode when sending prompts, and include current mode in activity output.
Changes:
- sendPrompt now accepts options object with maxWait and sessionMode
- If sessionMode specified, sets mode before sending prompt
- send_agent_prompt MCP tool exposes sessionMode parameter
- get_agent_activity now returns currentModeId in output
- Enables workflow: send_agent_prompt({ sessionMode: "plan", prompt: "..." })
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Remove grouping and clever formatting. Just convert activity feed to chronological text.
Changes:
- Process updates in order (chronological)
- Buffer message/thought chunks and flush when needed
- Output tool calls and plans as they appear
- No grouping, no reorganizing, no sections
- Simple text format: messages, [Tool] status, [Plan] entries
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Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
Create activity curator that consolidates hundreds of tiny message chunks into clean, human-readable text. Saves tokens and improves readability dramatically.
Changes:
- Add activity-curator.ts with curateAgentActivity() function
- Consolidate agent_message_chunk fragments into complete messages
- Format tool calls with status, input/output in readable structure
- Display plans with status icons (✅ completed, 🔄 in_progress, ⏳ pending)
- Add priority indicators (🔴 high, 🟡 medium, 🟢 low)
- Update get_agent_activity to support format='curated' (default) or 'raw'
- Curated format returns clean markdown text instead of JSON array
Example: 363 raw updates consolidating to single clean message instead of 363 JSON objects with fragments like " it.", " fix", "ify what".
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Change sendPrompt to return immediately by default instead of blocking, allowing the orchestrator to continue while agents process in the background. Add optional maxWait parameter for cases where waiting is needed.
Changes:
- sendPrompt now returns { didComplete, stopReason? } immediately if no maxWait
- Background promise handles completion and updates agent status via protocol
- Optional maxWait parameter races completion vs timeout, returns didComplete status
- Update send_agent_prompt MCP tool to expose maxWait parameter
- Agent continues processing in background even if maxWait expires
- Orchestrator can poll get_agent_status or get_agent_activity to check progress
This prevents orchestrator from blocking on long-running agent tasks while maintaining protocol-based completion tracking.
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Replace unreliable 2-second timeout heuristic with proper protocol-based completion detection using PromptResponse.stopReason from ACP SDK.
Changes:
- Capture and handle PromptResponse.stopReason in sendPrompt()
- Set agent status based on stop reason: end_turn → completed, refusal → failed, cancelled → ready
- Remove 2-second timeout completion heuristic (was causing drift)
- Update SessionStateMessageSchema to match AgentInfo null types
This ensures agent completion is detected via the protocol spec, not manual polling/timing.
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Replace all undefined values with null in agent MCP tool responses to prevent JSON serialization issues that break the MCP client.
Changes:
- Update AgentInfo interface to use `| null` instead of optional `?` syntax
- Convert undefined to null in listAgents(), getCurrentMode(), getAvailableModes()
- Update all Zod schemas from .optional() to .nullable()
- Fix tool responses in create_coding_agent and set_agent_mode
This ensures all MCP tool responses properly serialize optional fields as null instead of undefined, preventing client-side errors.
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Co-Authored-By: Happy <yesreply@happy.engineering>
Replace client-side permission mode hack with proper ACP session modes:
- Add typed Client interface implementation to ACPClient
- Import proper types from ACP SDK (SessionNotification, RequestPermissionRequest, etc.)
- Fix critical sessionUpdate bug where params.update was undefined
- Replace PermissionMode with SessionMode from ACP spec
- Add getCurrentMode(), getAvailableModes(), setSessionMode() to AgentManager
- Update MCP tools: replace set_agent_permission_mode with set_agent_mode
- Add session_state message type to send live agents/commands to client
- Update UI to display session mode badges (ask/code/architect)
- Remove all permissionsMode references from tests
Agents now have ONE mode (session mode) that controls their behavior,
system prompts, and tool availability - not separate permission/session modes.
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Co-Authored-By: Happy <yesreply@happy.engineering>
- Created new Expo app with SDK 54+ and Expo Router
- Installed and configured NativeWind v5 for Tailwind styling
- Upgraded voice-assistant to React 19 for consistency
- Kept voice-mobile outside workspace to avoid Metro bundler conflicts
- Disabled React Compiler experimental feature for stability
Setup includes:
- postcss.config.mjs with Tailwind PostCSS plugin
- global.css with Tailwind and NativeWind imports
- metro.config.js with NativeWind wrapper
- lightningcss pinned to 1.30.1 for stability
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Major enhancements to voice assistant with conversation persistence
and mobile app planning:
- Add conversation management with multiple active conversations
- Implement conversation persistence (save/load from disk)
- Add conversation selector UI for switching between conversations
- Enhance agent prompt with per-conversation tmux sessions
- Add mobile app technical specification (React Native + Expo)
- Improve UI with active processes view and agent stream
- Add ACP (Agent Control Protocol) server implementation
Mobile spec details:
- React Native with Expo SDK 54+
- NativeWind v5 for styling
- Share Zod schemas/types from server
- Android in-call experience (InCallManager)
- Direct WebSocket connection via Tailscale
- Same audio quality as web prototype
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Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
This commit implements isolated tmux sessions for each conversation and
refines the terminal MCP tools to use consistent command terminology.
**Per-Conversation Tmux Sessions:**
- Each Session now creates its own Terminal MCP client with conversation ID as tmux session name
- Complete isolation: commands from different conversations don't interfere
- Automatic cleanup: tmux session killed when conversation ends
- Updated getAllTools() to accept custom terminal tools per session
- Session.cleanup() now async to properly await tmux session termination
**Command-Based MCP Tools:**
- Removed old terminal-based tools (list_terminals, create_terminal, etc.)
- Kept only command-based tools (execute_command, list_commands, etc.)
- Updated kill_command to accept multiple command IDs for batch cleanup
- Fixed bug where all commands showed same metadata (working directory, command)
- Added window-specific option storage using set-window-option/show-window-options
**Bug Fixes:**
- Fixed listCommands() showing wrong working directory and command for dead commands
- Stored command metadata as tmux window options for proper retrieval
- Enhanced test to verify multiple commands retain unique metadata
**Testing:**
- Added comprehensive test suite with 26 passing tests
- All tests verify command execution, capture, interaction, and cleanup
- TypeScript: no errors
- Backward compatibility maintained with global singleton fallback
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- Add basic HTTP authentication (express-basic-auth)
- Improve artifact tool with better source type handling (command_output, file, text)
- Update agent prompt with clearer artifact usage patterns
- Refactor tmux command execution to use execFile for safer argument handling
- Add UI cancellation capability for in-progress operations
- Switch session dumps to use util.inspect for better formatting
- Update artifact tool schema to require title parameter first
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refactor: improve session management, audio handling, and MCP configuration
- Change default session name from 'voice-dev' to '__voice-dev'
- Change default server port from 3000 to 6767
- Add conversation history persistence to .conversations directory
- Defer stream abort until after transcription completes
- Return empty content arrays from MCP tool handlers (use structuredContent only)
- Add pause/resume support to audio player for handling false positive speech detection
- Add .conversations to .gitignore
```
- Update TTSManager to accept an optional abort signal, allowing for graceful cancellation of TTS playback.
- Implement abort handling in the generateAndWaitForPlayback method to clean up pending playbacks and reject promises when playback is aborted.
- Modify Session class to pass the abort signal during TTS generation, improving control over playback interruptions.
These changes improve the robustness of the voice assistant's TTS functionality and enhance user experience by allowing for better management of audio playback.
- Introduce a new `currentStreamPromise` to track ongoing LLM processing, allowing for better handling of stream interruptions and cleanup.
- Update message handling to utilize `ModelMessage` for improved type safety and structure.
- Refactor `processWithLLM` to integrate new streaming capabilities with tool execution and error handling.
- Enhance logging for better traceability during audio playback and message processing.
- Remove deprecated `streamLLM` function and replace it with a more modular approach using `getAllTools`.
These changes improve the robustness of the voice assistant's session management and streamline the integration of LLM processing.
- Introduce a new Session class to encapsulate conversation state and message processing, replacing the previous ClientSession structure.
- Implement STTManager and TTSManager for dedicated handling of speech-to-text and text-to-speech functionalities.
- Refactor WebSocket server to utilize the new session management, improving message routing and state handling.
- Remove deprecated orchestrator functions and streamline message schemas using Zod for validation.
- Enhance audio processing with improved buffering and interruption handling, ensuring seamless user interactions.
This refactor enhances maintainability and prepares the codebase for future feature expansions.
