# ============================================================================
# Javis Bot — environment configuration
# Copy to `.env` and fill in.  Never commit your real `.env`.
# ============================================================================

# ---------------------------------------------------------------------------
# Discord bot (normal bot account) — voice I/O + slash commands
# ---------------------------------------------------------------------------
# OPTIONAL — leave BLANK to run in userbot/selfbot mode (a single user account
# does voice + broadcast; see DISCORD_SELFBOT_TOKEN below). When this is empty
# and a selfbot token is present, the app runs as a userbot automatically.
# Only fill this in if you specifically want the legacy normal-bot path.
# From https://discord.com/developers/applications  → your app
DISCORD_BOT_TOKEN=
DISCORD_APP_ID=
# The (single) server this bot serves. Guild-scoped commands appear instantly.
DISCORD_GUILD_ID=
# Voice channel used by the stream-test scripts (bot/scripts/stream-test).
DISCORD_VOICE_CHANNEL_ID=

# ---------------------------------------------------------------------------
# Brain bridge (Python service in bridge/) — STT + reply engine + TTS
# ---------------------------------------------------------------------------
BRIDGE_URL=http://127.0.0.1:8765
BRIDGE_HOST=127.0.0.1
BRIDGE_PORT=8765
JARVIS_BRAIN_ENABLED=1
JARVIS_TTS_ENABLED=1
# faster-whisper device/compute. GPU by default (RTX 5050 / sm_120, verified).
# Falls back to CPU automatically if no GPU is passed to the container.
WHISPER_DEVICE=cuda
WHISPER_COMPUTE_TYPE=float16
# Optional explicit Piper voice model (.onnx). If empty, the jarvis default is used.
TTS_PIPER_MODEL_PATH=
# TTS engine: "melo" (default) uses the MeloTTS Korean voice served by the warm
# melo-worker (Korean speaker, speed 1.5). Set to "piper" to use Piper directly.
TTS_ENGINE=melo
# Melo-only by default: if MeloTTS synthesis fails the bridge returns no audio
# rather than speaking Korean through the English Piper voice (which mangles it).
# Set to 1 only if you explicitly want the Piper fallback.
MELO_FALLBACK_PIPER=0
# Where the bridge reaches the in-container MeloTTS worker, and how long it
# waits for a synthesis. Speaking rate is set on the worker via MELO_SPEED.
MELO_WORKER_URL=http://127.0.0.1:8770
MELO_TIMEOUT=30
MELO_SPEED=1.5

# ---------------------------------------------------------------------------
# Jarvis brain (Ollama-backed). In Docker these populate the rendered
# config (docker/jarvis-config.template.json). See src/jarvis/config.py.
# ---------------------------------------------------------------------------
# In docker-compose this is overridden to http://ollama:11434 automatically.
OLLAMA_BASE_URL=http://127.0.0.1:11434
# qwen2.5:3b — small non-reasoning instruct model. ~2.4GB, runs 100% on the GPU
# (the 8B offloads ~8% to CPU), warm voice turns ~2-4s vs ~5-7s on 8B. Clean
# Korean on factual/tool replies; can occasionally leak a trailing CJK phrase on
# free-form chit-chat. Swap back to qwen3:8b for the strongest tool-calling.
OLLAMA_CHAT_MODEL=qwen2.5:3b
# Model for the auxiliary small-model calls: intent judge, tool router, weather
# place extraction, query decomposition. BLANK (default) reuses OLLAMA_CHAT_MODEL
# so the stack runs on one already-warm model. The code's built-in default
# (gemma4:e2b) is NOT pulled by this stack, so leaving this unset previously made
# every router/extractor call silently fail. Only set this if you also pull the
# model into Ollama.
OLLAMA_INTENT_MODEL=
OLLAMA_EMBED_MODEL=nomic-embed-text
WHISPER_MODEL=small

# Lock every reply to one language, e.g. OUTPUT_LANGUAGE=Korean. Leave BLANK to
# keep the default behaviour of replying in whatever language the user wrote in.
# A fixed value also suppresses stray characters from other scripts (e.g. the
# occasional trailing CJK fragment small models leak on free-form chat).
OUTPUT_LANGUAGE=

# ---------------------------------------------------------------------------
# Docker desktop (VNC) — used only by the container image
# ---------------------------------------------------------------------------
# VNC viewer password (max 8 chars effective). Watch the screen at localhost:5901.
# Also used by the broadcast keepalive: TigerVNC only refreshes its framebuffer
# while a VNC client is attached, so the stream keeps a tiny client connected to
# avoid a choppy (~1.5 fps) capture. Must match the VNC server's password. If
# unset, the keepalive falls back to the obfuscated passwd file (VNC_PASSWD_FILE,
# default ~/.config/tigervnc/passwd).
VNC_PASSWORD=javis123
# VNC_PASSWD_FILE=/home/claude/.config/tigervnc/passwd
# Auto-opened page in the in-container Chrome.
CHROME_START_URL=about:blank

# ---------------------------------------------------------------------------
# Screen-share + browser mode.
#   true  = the bot may go Live (screen-share the VNC desktop) and drive the
#           on-screen browser for real-time info (search / play / read screen).
#   false = no screen share; voice only, real-time info via the Gemini API.
STREAM_BROWSER=true
# Gemini auth for real-time info when STREAM_BROWSER=false.
#   oauth  = use the Gemini CLI with a Google-account login (no API key).
#            Install once: npm i -g @google/gemini-cli ; then run `gemini` and
#            "Sign in with Google". Uses the CLI's built-in web-search grounding.
#   apikey = legacy REST path; needs GEMINI_API_KEY below
#            (get one at https://aistudio.google.com/app/apikey).
GEMINI_AUTH=oauth
GEMINI_API_KEY=
GEMINI_MODEL=gemini-2.0-flash

# ---------------------------------------------------------------------------
# VNC screen broadcast
#   selfbot    = real live "Go Live" stream (needs a USER/burner token; ToS risk)
#   novnc      = share a noVNC browser link (safe, real-time, not native)
#   screenshot = periodic screenshots to the channel (safe, low fps)
#   none       = disabled
# ---------------------------------------------------------------------------
STREAM_BACKEND=selfbot

# The VNC desktop runs on X display :1 (see docs/vnc-xfce-setup.md)
VNC_DISPLAY=:1
VNC_RESOLUTION=1920x1080
# 1080p60 broadcast. 8 Mbps suits 60fps (YouTube-style 1080p60 sits ~8-12 Mbps);
# drop to 30/4000 for a lighter stream. Max bitrate is 1.5x this value.
VNC_FRAMERATE=60
VNC_BITRATE_KBPS=8000

# --- selfbot backend ---
# A THROWAWAY/burner Discord user account token. NEVER your main account.
# Using a selfbot violates Discord ToS and can get the account banned.
DISCORD_SELFBOT_TOKEN=
# Dedicated burner account for the Go-Live BROADCAST, separate from the
# conversation account above. REQUIRED in userbot mode for the broadcast to
# work: Discord allows only one voice presence per account, so the conversation
# and the broadcast cannot share one account (the broadcaster's voice connection
# never connects). Leave empty in normal-bot mode (the conversation runs on the
# bot account, so the selfbot account is already broadcast-only). Both burner
# accounts must be in the server. Use a second throwaway account, never a main.
DISCORD_STREAM_TOKEN=
# Hardware (NVENC) encode for the stream. 1 = use the GPU (recommended for
# 1080p60), 0 = software x264. Requires an NVIDIA GPU + ffmpeg built with nvenc.
STREAM_HW=1
# Capture desktop audio into the broadcast so the stream has sound. 1 = on,
# 0 = mute. Pulls the PipeWire/Pulse monitor of the default sink; override the
# source with STREAM_AUDIO_SOURCE (e.g. a specific "<sink>.monitor").
STREAM_AUDIO=1
STREAM_AUDIO_SOURCE=@DEFAULT_MONITOR@

# --- novnc backend ---
# e.g. http://192.168.10.9:6080/vnc.html  (websockify --web=/usr/share/novnc 6080 localhost:5901)
NOVNC_URL=

# --- screenshot backend ---
SCREENSHOT_INTERVAL_SEC=5

# ---------------------------------------------------------------------------
# Voice behaviour
# ---------------------------------------------------------------------------
# Silence (ms) that marks the end of an utterance before sending to the brain.
VOICE_SILENCE_MS=800
