# ============================================
# WeLe Agentic AI — Environment
# ============================================

# --- Server ---
PORT=4000
NODE_ENV=development
PUBLIC_BASE_URL=http://localhost:4000

# --- LLM providers & failover ---
# Ordered chain of `provider:model`, tried left to right. If the first provider
# is rate-limited, out of quota, or down, the next takes over mid-turn.
# Providers: gmi | openrouter   (both OpenAI-compatible)
LLM_CHAIN_SUPERVISOR=gmi:MiniMaxAI/MiniMax-M3,openrouter:nvidia/nemotron-3-ultra-550b-a55b:free
LLM_CHAIN_AGENT=gmi:MiniMaxAI/MiniMax-M3,openrouter:nvidia/nemotron-3-ultra-550b-a55b:free
LLM_DEFAULT_PROVIDER=gmi

# GMI Cloud — free MiniMax allocation (MiniMaxAI/MiniMax-M3, MiniMaxAI/MiniMax-M2.7)
GMI_API_KEY=
GMI_BASE_URL=https://api.gmi-serving.com/v1

# OpenRouter — fallback
OPENROUTER_API_KEY=
OPENROUTER_BASE_URL=https://openrouter.ai/api/v1

LLM_MAX_TOKENS=4000

# --- MongoDB (shared with CRM — READ path) ---
MONGODB_URI=

# --- CRM REST API (WRITE path) ---
CRM_API_BASE=http://localhost:3000
CRM_JWT_SECRET=

# --- Redis (memory + cache; optional, falls back to in-memory) ---
REDIS_ENABLED=true
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=
REDIS_PREFIX=agentic:

# --- Session / memory ---
SESSION_TTL_SECONDS=86400
CACHE_TTL_SECONDS=300
MAX_HISTORY_MESSAGES=12

# --- Guardrails ---
REQUIRE_APPROVAL_FOR_WRITES=true
MAX_TOOL_CALLS_PER_TURN=12
SUPERVISOR_RECURSION_LIMIT=14
AGENT_RECURSION_LIMIT=8
RATE_LIMIT_WINDOW_MS=60000
RATE_LIMIT_MAX=40

# --- Artifacts ---
ARTIFACT_DIR=./storage/artifacts
ARTIFACT_TTL_HOURS=72

# --- Voice (speech-to-speech, CPU, in-process) ---
# Models are ONNX via Transformers.js — no GPU, no Python, no second service.
#   STT  onnx-community/whisper-base   Tamil + English + language detection
#   TTS  assets/tts/mms-tts-tam        exported locally; no public ONNX exists
#   TTS  Xenova/mms-tts-eng            from the Hub
SPEECH_WARMUP=false
STT_MODEL=onnx-community/whisper-base
# Below this confidence, the user's preferred language beats the detector.
DETECT_CONFIDENCE=0.6

# Endpointing
VAD_SILENCE_MS=700
VAD_MIN_SPEECH_MS=250
VAD_PREFIX_MS=300