Commit Graph
6 Commits
Author SHA1 Message Date
jcoffey-dev 88090b3ea6 AI spam classification: calibration results for commercially usable models; Qwen3 4B Instruct 2507 recommended, 4 vCPU minimum 2026-09-19 07:42:12 -07:00
jcoffey-dev 554cc4fcd2 AI spam classification decisions from calibration: maxContentBytes 2048 and spamMaxAdded 2.0 by default, for low-end CPU-only instances 2026-09-19 06:19:38 -07:00
jcoffey-dev 9490fc4677 AI spam classification: the model's opinion as one bounded spam signal, and the llm_prompt Sieve function (AI-1 to AI-28)
The classifier sends only the subject and text, between unforgeable markers
after the operator's prompt, to an OpenAI-compatible endpoint the operator
configured; nothing is preset. Its answer maps to an LLM_ tag whose score is
clamped (+5.0, -1.0 by default) and can never discard or reject on its own;
X-Spam-LLM is sanitized, encoded and folded, and a planted one is removed.
Failures, timeouts past the ceiling, a full slot or a paused model leave
mail flowing untagged. llm_prompt answers trusted scripts, and accounts
holding interactAi within an hourly limit. Redirects aren't followed and no
content or secret is logged. The limits live in inbuxa:AiLimits.
Acceptance tests 1 and 3 to 21; test 2 as the re-enabled shared llm case,
whose setup no longer waits on a rules file from a developer's own path;
test 22 written as the ignored ai_compat.
2026-09-19 00:41:00 -07:00
jcoffey-dev cba48cf03b AI spam classification decision before implementation: the limits singleton is inbuxa:AiLimits under urn:inbuxa:jmap (open question 10) 2026-09-18 23:50:33 -07:00
jcoffey-dev a45e0ef8b1 Feature specs 4-9: observations from INBUXA's live server 2026-09-18 13:42:00 -07:00
jcoffey-dev cd7c1a6d4c Feature specs 4-9: branding and templates, AI spam classification, monitoring, SCIM, scale-out storage, per-domain directories 2026-09-18 13:18:39 -07:00