# Rio Local — Layer 2 (voice + vision client)
# Audio capture (Day 3) + playback (Day 4), VAD + PTT (Day 5), Vision (Day 6).

websockets>=14.0
pyyaml>=6.0
structlog>=24.0.0

# Audio I/O (L1) — capture at 16kHz, playback at 24kHz
sounddevice>=0.5.0
numpy>=1.24.0
scipy>=1.11.0

# VAD — Silero (Day 5)
# For CPU-only (lighter): significantly smaller download, sufficient for VAD inference
--extra-index-url https://download.pytorch.org/whl/cpu
torch>=2.0.0

# Audio playback backend for Gemini Live output
# Note: Linux may require PortAudio development headers for PyAudio wheels/builds
PyAudio>=0.2.14

# Push-to-Talk hotkeys (Day 5) + Screenshot hotkey (Day 6)
pynput>=1.7.0

# Screen navigation — mouse/keyboard automation
pyautogui>=0.9.54
pygetwindow>=0.0.9
pyperclip>=1.8.2

# Screen capture (Day 6 / L2 — Vision)
mss>=9.0.0
Pillow>=10.0.0

# OCR — screen text extraction for struggle detection (L4 enhancement)
# Uses ONNX runtime for fast CPU inference (~20-50ms per frame)
# Note: 1.3.x+ requires Python <3.13; latest compatible version for Python 3.14 is 1.2.x
rapidocr-onnxruntime>=1.2.0

# Wake word — offline speech recognition (optional, energy-based fallback if absent)
vosk>=0.3.45

chromadb>=0.4.0

# ML ensemble pipeline — user pattern learning (v0.8.0)
scikit-learn>=1.3.0

# Browser automation — Playwright for browser_agent.py
playwright>=1.40.0

# Windows application control — native UI introspection
pywinauto>=0.6.8

# Gemini API (needed locally for browser_agent + orchestrator planning)
google-genai>=1.0.0

# Google Sheets ticket logging
google-api-python-client>=2.0.0
