# --- TiDB Cloud (control DB for mnemo-server) ---
# Create a Starter cluster at https://tidbcloud.com, paste DSN below.
MNEMO_DSN="user:pass@tcp(host:4000)/mnemos?parseTime=true&tls=true"

# --- mem9 server knobs the demo requires ---
MNEMO_DB_BACKEND=tidb
MNEMO_FTS_ENABLED=true
MNEMO_TIDB_ZERO_ENABLED=true
# Confirmed from upstream source (server/schema.sql, config.go, tenant_test.go)
MNEMO_EMBED_AUTO_MODEL=tidbcloud_free/amazon/titan-embed-text-v2
MNEMO_EMBED_AUTO_DIMS=1024

# --- mnemo-server URLs (host vs. container network) ---
# Seeder (host-side Python) hits mnemo-server via published port.
MEM9_API_URL_HOST=http://localhost:8080
# Booth dashboard (inside docker-compose network) hits via service name.
MEM9_API_URL_CONTAINER=http://mnemo-server:8080
BOOTH_DASHBOARD_PORT=7001  # 7000 is reserved by macOS AirPlay Receiver

# --- set by seeder; do not commit ---
# MEM9_TENANT_ID=
# MEM9_PROVISION_MS=

# --- mem9 pin (overridden by demo.sh if set) ---
MEM9_GIT_REF=main

# --- fleet-timing capture ---
# Phase 0 confirmed: mnemo-server has no DELETE /v1alpha1/mem9s endpoint.
# Keeping this at 0 prevents orphan TiDB Cloud Zero databases from accumulating.
# Set to 4 only if/when upstream ships a delete endpoint.
SEED_FLEET_TENANTS=0

# --- MiniMax (Ask-the-Agent tab) ---
# Paste your key below to enable live agent chat. Without this key, the
# Ask-the-Agent tab still works but falls back to retrieval-only mode
# (shows the memories that would have been used, no LLM answer).
# Get a key at https://platform.minimax.io/  (OpenAI-compatible API)
MINIMAX_API_KEY=
# Optional — override model or base URL if you need to.
# MINIMAX_MODEL=MiniMax-M2.7
# MINIMAX_BASE_URL=https://api.minimax.io/v1