fix(api): fuzzy-match 'myself' typos in pre-filter reflexive lookahead

feat(api): expand pre-filter to AAVE imma/ima + comprehensive regex tests

fix(api): treat 'myslf' / 'my self' / 'me' as self-directed in pre-filter

fix(api): catch named-target threats in explicit-threat pre-filter

chore(api): add checkmyvibe.me to default CORS allowlist

chore(api): production hardening before ship

feat(api): explicit-threat regex pre-filter + Sensitive-mode t0 override

fix(api): decode Quick Vibe predictions via real label list, not placeholders

feat(api): add diagnostics — /diag endpoint + load-time logging + no-cache headers

feat(api): point at v6 retrained models (flat + hierarchical)

chore(api): remove /classify/debug diagnostic endpoint

feat(api): add /classify/debug endpoint for stage-by-stage diagnostics

fix(api): bump transformers/tokenizers so stage 0 RoBERTa tokenizer.json loads

revert: go back to in-Space inference (free CPU on Space)

fix: switch to router.huggingface.co/hf-inference (api-inference.* deprecated)

refactor: thin HF Inference API proxy for v5 models

chore: suppress transformers warnings via env var, clean up app.py

chore: suppress beta/gamma and sklearn version warnings

fix: load stage3 tokenizer from stage1a subfolder (stage3/tokenizer.json is incompatible)

fix: use use_fast=False for stage3 tokenizer to bypass tokenizer.json

fix: pin tokenizers>=0.19 to fix stage3 tokenizer.json compatibility

fix: use AutoTokenizer for stage3 to fix tokenizer.json version mismatch

feat: add Longformer pipeline with lazy-load model registry

fix: build model offline from BertConfig + .pt weights

use mental-bert with HF token auth

initial deployment

initial commit