Commit Graph
5 Commits
Author SHA1 Message Date
jcoffey-dev 86d7ebd982 Audit log: a permanent, tamper-evident record of admin actions
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What administrators and the server itself do to the control plane is now
recorded, from inbuxa-drafts/specs/audit-hold-lock.md (AU-1 to AU-12):
settings, accounts, domains, roles and every other registry change, with
each field's before and after (secrets only as "changed"); the fork's own
settings objects; administrator sign-ins (and failed ones to administrator
accounts), master-user and recovery-admin sign-ins, once an hour per
account, method and address; access to another account's data through
impersonation or FetchAnyBlob, once an hour; exports and tamper checks;
and registry writes the server makes on its own, named by subsystem
(system:AcmeRenewal, system:auto-ban, system:directory-sync, ...), with a
spam rules update as one summary record.

No change without its record (AU-3): before a set method changes anything,
a pending record per requested create, update and destroy is written; if
that fails, the method is refused with serverFail. Its outcome follows as
a later entry. A change interrupted by a crash stays "unfinished".

Records live in the fork's subspace under L, as one SHA-256 hash chain per
node. The chain's head is stored, never cached, and every append asserts
it, so two writers can't take the same place. Nothing can edit or delete
a record; the daily purge removes the oldest past the retention (default
730 days, minimum 90) and records where the chain now starts, so
verification still passes. security.audit-recorded (647) copies each
record to webhooks, OpenTelemetry and the log; security.audit-write-failed
(648) reports a failed write.

New JMAP objects under urn:inbuxa:jmap: inbuxa:AuditEvent/get and /query
(filters: time, actor, action, target, account, tenant, outcome, address,
text), inbuxa:AuditSettings, inbuxa:AuditExport (CSV or JSON Lines built
on the server, each line with its chain hash, ending in a manifest; the
created object names the blob and its SHA-256) and
inbuxa:AuditVerification. New permissions sysAuditGet, sysAuditExport and
sysAuditSettingsUpdate: the Administrator role gets all three, the Tenant
Administrator role gets read and export, once, on existing installs too.
A tenant administrator sees records whose actor or target is in its
tenant, including a server administrator's changes there.

Sign-in method on the session: access tokens now remember how they signed
in (password, app password, API key, OAuth client, directory, master user,
recovery admin), including across the HTTP credential cache. New OAuth
access tokens carry their client id in the sealed claims; older ones show
as client "unknown" until they expire.

The schema gains the permissions, the two events and a Management >
Compliance > Audit Log link.

Stack: the request layer boxes every inner future where it's made. Without
that, a debug build overflowed the default 2 MB worker stack on a registry
set; measured with the same request, the branch and main now overflow at
the same stack size (between 1856 and 1920 KiB, debug), so the layer adds
nothing measurable.

Tests: unit tests in inbuxa-features and jmap; system::audit::audit_log_tests
(run with --ignored) passes on RocksDB, SQLite, PostgreSQL, PostgreSQL with a
read replica, MySQL, MySQL with a replica and FoundationDB. The system, JMAP
and SCIM suites pass. authorization.rs skipped fork permissions that guard
no registry object; the audit suite checks a plain user is refused instead.
2026-09-27 13:40:12 -07:00
jcoffey-dev 7e7eca0883 Explain: shorter answers, streamed, remembered, and prepared for settings
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ai-explain spec, amendment 1 (EX-22 to EX-28):
- answers are three or four sentences, max_tokens 160, cut at 700 chars;
- POST /api/explain streams the answer as server-sent events;
- each node remembers answers in memory (1,000, 24 h), keyed by the facts,
  prompt version and model, shared by server-level administrators;
- resources/explain/settings.json.gz ships answers for settings at their
  defaults, generated with prepare_setting_explanations (717 for 2026.9.27);
- the system prompt no longer carries the per-request marker, so a model
  server can reuse it;
- inbuxa:Explanation gains source, answeredAt and preparedFor.
2026-09-26 16:11:43 -07:00
jcoffey-dev d9a6db025b Explain this: the local model reads delivery failures, verdicts, logs and settings
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A new method, inbuxa:Explanation/set, asks the node's local model for a
short plain-words reading of one thing an administrator is looking at:
a failed recipient in the queue, a Classify verdict, a log line or trace
event, or one setting with its saved value. The server builds the prompt
itself from stored data and the registry schema, never from text the
console sends, and grounds SMTP replies in RFC 3463 and RFC 5321.

What the model is never shown: secrets (including ones nested inside a
setting, like an AI model's HTTP auth), raw protocol events, and the
contents of any other event. A tag name that doesn't have a tag's shape is
refused before a model is asked.

Calls share the AI gate with spam classification, but mail always keeps
its slot, and Explain has its own hourly count per account and its own
on/off switch in inbuxa:AiLimits. The permission is sysAiExplain,
superuser only; tenant administrators can't use it. The session carries
an aiExplain flag so a console knows when to offer the button.

An install whose roles were stored before the permission existed gets it
added once, at start-up, to the roles that are administrators' alone,
not the User role their defaults share with every account. An operator
who removes it later isn't overruled.

Tests: unit tests in inbuxa-features and jmap, and ai_explain_tests
(run with --ignored) covering the acceptance tests and the upgrade.
2026-09-26 00:52:51 -07:00
jcoffey-dev 2e6c234152 AI spam classification: default to 2 KiB of text and a +2.0 cap on the model's tag, as calibrated for low-end CPU-only instances
The calibration harness (tests/src/system/ai_calibration.rs, ignored) sends
what the classifier sends to a real local model and scores its answers with
the classifier's parser.
2026-09-19 06:21:08 -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