Six vendor-run MCP servers (Notion, Linear, Atlassian, Sentry, Asana,
Stripe) join the catalog as presets from docsgpt/connectors/presets/
mcp.yaml; existing connections to those servers show under them.
connector_policies lets an admin turn a connector off or force whose
account every share uses, and app_metadata's
connectors.allow_custom_mcp turns custom MCP servers off. Both are
enforced on the server: new connections, OAuth sign-ins, MCP test and
save, and the tools of a disabled connector stop resolving.
GET/PUT /api/admin/connectors reads and changes them.
A shared tool's owner picks owner or member credentials with
PUT /api/connections/tools/<id>/credential-mode, and a member running
the owner's account always confirms write actions.
Tool-call events and retrieved chunks name the connector they came
from (key and display name, never the account), and tool calls keep
those fields when the conversation is reloaded.
DocsGPT keeps three append-only journals -- auth_events, device_audit_log and
guardrail_events -- each readable only on its own terms, and the second of
those had an admin endpoint that no UI ever called. An operator reviewing an
incident wants one timeline, not three.
Adds GET /api/admin/activity: all three journals projected onto a common row
shape and merged, ordered newest first, with facets for journal, category,
event name, actor, affected user, a time window and free-text search over the
detail payload. A category filter that only one journal can satisfy drops the
others from the union rather than scanning and discarding them.
GET /api/admin/activity/events returns the distinct (event, category) pairs
the instance has actually recorded, so the filter UI can offer real choices
instead of asking an operator to type "oidc_login_denied" from memory.
GET /api/admin/activity/export streams the same filtered feed as CSV or
NDJSON. Streamed rather than buffered, and capped, so a compliance export of a
busy instance is bounded work.
guardrail_events.api_key (a raw agent key) and matched_value (unredacted
source text) are excluded from the projection, mirroring the exclusion the
per-agent guardrail view already makes. Admin-gating is not a reason to widen
what a list response carries.
Admins read and set the instance default, team allowances and user
overrides under /api/admin/quotas. A user's endpoint also returns the
limits those layers resolve to, the layer each came from and the usage
against them. The overview lists catalog models used this period that have
no price, since a cost limit cannot see them. Every write is audited.
GET /api/user/quota gives a user their own limited buckets, usage and reset
time without naming the policies behind them; any valid token may call it.
The backend import package is now docsgpt, the name it will carry on PyPI;
application was far too generic to install into anyone's site-packages.
git mv plus a mechanical rewrite of every import, dotted string and path
reference: 734 Python files, the compose files, Dockerfile, workflows, docs,
setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage
config, .gitignore. Behaviour is unchanged.
Kept for one release:
- A top-level application package whose meta-path finder resolves
application.x.y to the already-imported docsgpt.x.y object, so old imports
and entry points (celery -A application.app.celery,
uvicorn application.asgi:asgi_app) keep working with a FutureWarning.
- Celery registers every application.* task name as an alias of its
docsgpt.* task on start-up, so messages queued by the previous release still
run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries
the previous release wrote are left unread instead of firing twice.
The backend image builds from the repository root (docker build -f
docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore
allow-lists docsgpt/ and application/ and keeps caches, local data, .env
files, the sample index files and the Dockerfile out. Compose and the image
workflows point at the new context.
arc53-machine