escalation_filter.py implements tech-design.md §3's first step as an
actual hard gate, not just a system-prompt instruction: money,
appointment-confirmation, and emotional content stop generate_draft.py
before it ever calls Gemini. Self-test 10/10; measured a 0.93% trigger
rate against 82,305 real corpus utterances (mostly factual price
mentions, not personal money requests -- noted as an upper bound, not
a real-usage estimate).
Provide .env.example, ignore local .env, and teach generate_draft.py to
load the repo-root .env so PoC #1 can use Gemini without exporting keys
in the shell every time.
Co-authored-by: okuma <o0kuma@users.noreply.github.com>
Consolidates the AI-Hub "한국어 SNS 멀티턴 대화" TL/VL zip parts into
clean train/val JSONL (142,575 dialogues), with a QA cross-check
against the raw TS/VS source. Script and docs only -- the dataset
itself stays out of git per .gitignore, both for size and because
AI-Hub's terms restrict redistribution.
Claude
Cursor Agent