feat: add audio buffering and interruption handling for voice input
Implement processing phase tracking (idle/transcribing/llm) and audio segment buffering to handle speech interruptions gracefully. Adds abort_request message type and buffer timeout mechanism to process accumulated audio segments together.
```
chore: configure VAD assets and update Playwright MCP settings
- Add vite-plugin-static-copy to bundle VAD WASM files
- Configure VAD with adjusted speech detection thresholds
- Switch Playwright MCP to omit image responses
- Fix WebSocket abort controller handling for interruptions
- Add WebFetch permission for VAD documentation
```
fix: improve audio playback interruption and response persistence
- Remove TTS timeout to prevent premature playback cancellation
- Save assistant responses to history before waiting for TTS completion
- Stop audio playback when sending message or starting recording
- Properly reject current audio promise when stopping playback
- Ensure partial responses are saved even if stream is aborted
```
Adds error callbacks to LLM orchestrator for tool and stream failures, updates UI to show failed tool calls with error details, removes deprecated tool-definitions.ts file, and updates agent prompt to remove `--dangerously-skip-permissions` flag from Claude Code commands.
Extend capture_terminal to wait for terminal activity to settle before
capturing output. The wait parameter is renamed to maxWait and now triggers
intelligent polling that detects when terminal output has stabilized (1s of
no changes) rather than a simple sleep.
Changes:
- Export waitForPaneActivityToSettle from tmux.ts for reuse
- Update captureTerminal to use settling logic when maxWait provided
- Update capture_terminal tool schema with new maxWait parameter
- Add error handling callbacks to StreamLLMParams interface
- Improve send_text/send_keys tool descriptions for clarity
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
refactor: stream text segments for TTS preparation
Refactor LLM streaming to emit complete text segments before tool calls for future TTS integration. Moves from step-based callbacks to chunk-based streaming with text buffering and segment flushing at tool boundaries.
```
chore: upgrade Vite to v7 and update OpenAI services
- Upgrade vite from ^5.0.0 to ^7.1.10 with new Node.js requirements
- Add dotenv package for environment variable management
- Update STT to use gpt-4o-transcribe model
- Remove verbose_json format from STT response
- Format code with consistent style (quotes, spacing)
- Add HMR WebSocket configuration for development
- Improve UI layout with overflow handling
- Reorganize chat interface component order
- Add user message broadcasting to activity log
```
```
feat: add AI SDK dependencies and refine agent voice interaction config
- Add @ai-sdk packages for enhanced AI capabilities
- Install Deepgram SDK, livekit-client, and werift for voice/WebRTC
- Expand agent system prompt with multi-tool workflows and Claude Code interaction patterns
- Adjust VAD timing (1.2s silence threshold) and turn detection for better voice UX
- Switch TTS to inworld/inworld-tts-1 with Olivia voice
- Configure interruption timing (0.2s detection, no word requirement)
- Add comprehensive guidelines for conversational responses vs structured output
- Document plan mode triggers and Claude response type handling
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
```
Mohamed Boudra