Critical: ai_access_middleware was wired via from_fn_with_state((), ...)
- passing the unit type as state - and pulled AppState from request
extensions, which nothing ever populated. Every request through
/api/ai/* and /api/ai/auto/* returned 500 INCOMPLETE_CONTEXT. Fixed by
extracting State<AppState> properly and passing the real state at both
call sites; removed the redundant, identically-broken inner middleware
layer inside ai_router().
Security: ai_addon_purchase (/api/ai/addons/purchase, /api/ai/credits/buy)
and ai_plan_upgrade (/api/ai/plans/upgrade) granted AI credits / plan
upgrades (including enterprise) with zero payment verification - any
authenticated user could mint unlimited free credits, and the frontend
already called this directly. Disabled both until wired to a real
payment flow.
Quality: added a grounding/anti-hallucination system prompt applied to
every AI feature call (orchestrator::call_feature /
call_feature_with_plan, plus the handful of call sites that bypass the
orchestrator). Verified against the live model that it reduces but does
not eliminate fabrication on harder reasoning tasks - even the larger
model invents facts not present in the input on some prompts. This is a
real limitation of the two locally-hosted models, not something a
system prompt alone fully solves; flagged for follow-up (e.g. a
verification pass or deterministic checks for high-stakes decisions
like auto-apply).
Also fixed Persona/Pillar keyword detection using naive substring
matching (e.g. "team" matching inside "esteemed", "lead" matching
inside "leadership") - added a word-boundary-aware contains_word()
helper and applied it to all keyword classifiers in this file.
eaae3d470f