.env.example

# EdgeTable configuration -- copy to .env and fill in.
#
#   cp .env.example .env
#
# .env is gitignored; this template is not. Never put real values in here.
#
# Everything below is optional. With no .env at all EdgeTable runs fully local:
# the grid, the AI columns and semantic search all work, and the sync chip simply
# reads "unconfigured". Sync is the only thing these turn on.

# ---------------------------------------------------------------- sqlite-sync
# From the SQLite Cloud dashboard (https://dashboard.sqlitecloud.io/):
#
#   1. Create a database.
#   2. Create the `feedback` table there -- same columns in the same order,
#      including ai_json and embedding BLOB. The DDL is SCHEMA in
#      core/src/schema.rs. Do NOT create `fields`: it is local-only, and an extra
#      synced table on the server changes the schema hash and breaks sync.
#   3. Click OffSync for that database and select `feedback` only.
#   4. Copy the managed database ID and an API key below.
#
# Both must be set for sync to switch on; either one empty leaves it off.

EDGETABLE_DB_ID=
EDGETABLE_API_KEY=

# ------------------------------------------------------- asset path overrides
# Only needed if the extension builds or the models are not in the sibling
# checkouts EdgeTable expects. Extension paths take NO file suffix -- the right
# one for the platform is appended (.dylib / .so / .dll).
#
# EDGETABLE_AI_EXT=/path/to/sqlite-ai/dist/ai
# EDGETABLE_VECTOR_EXT=/path/to/sqlite-vector/dist/vector
# EDGETABLE_SYNC_EXT=/path/to/sqlite-sync/dist/cloudsync
# EDGETABLE_GEN_MODEL=/path/to/Qwen3-1.7B-Q4_K_M.gguf
# EDGETABLE_EMBED_MODEL=/path/to/all-MiniLM-L6-v2-q8_0.gguf