# Copy to `.env` and fill in GROQ_API_KEY. Everything active below already matches the
# compiled-in defaults, so a verbatim copy changes no behaviour -- the public-set score
# reproduces with no `.env` file at all. Never commit a real key: `.env` is gitignored,
# this file is not.

# Recommended final-evaluation configuration: permit network access and set GROQ_API_KEY.
# This enables semantic recovery for unfamiliar customer wording. Leave it empty only to
# force the deterministic offline fallback. Omitting it changes the public-set score by
# exactly zero -- both hosted layers are unreachable there, because the recognition gate
# matches every official message.
GROQ_API_KEY=

# Active optional hosted layers. Both are inert without GROQ_API_KEY.
LLM_RESOLVE=1
LLM_RESCUE=1

# Transcript rescue only runs after a stalled session reaches both thresholds.
LLM_RESCUE_TURN=5
LLM_RESCUE_REJECTS=4

# Active guarded local layers. They fail closed if their optional weights are unavailable.
V2_ROUTE=1
BERT_EXTRACT=1
BERT_KEEP=0.30

# ---------------------------------------------------------------------------
# READ BY THE CODE, BUT DELIBERATELY LEFT COMMENTED OUT.
#
# Listed so the disclosed set is complete, NOT because any of it should be set.
# These stay commented so that copying this file cannot enable them by accident.
# ---------------------------------------------------------------------------

# BERT_TAGGER_DIR=       checkpoint directories. Leave unset: resolution already
# V2_ROUTE_MODEL_DIR=    prefers a local directory that actually contains weights
#                        and otherwise uses the Hub, which is what a fresh clone
#                        needs. A path with no weights in it is ignored.
#
# BERT_TAGGER_HUB=KhiemGOM/techjam-scaffolding-tagger   only for mirroring our
# V2_ROUTE_HUB=KhiemGOM/techjam-route-classifier        published checkpoints
#
# BERT_DEVICE=auto       CUDA when present, CPU otherwise. Irrelevant to the
#                        score: the tagger never loads on the public set.
#
# GROQ_MODEL=            DO NOT SET. Each hosted layer picks its own model in
#                        code; this overrides all of them at once and moves them
#                        onto a model they were never measured on.
#
# MESSAGE_VARIETY=1      clarification phrasing variety. Presentation only -- the
#                        simulator reads the structured `ask_attribute`, never the
#                        prose, so it cannot affect scoring.