Files
DocsGPT/docsgpt/api/user/agents/guardrails.py
T
Alex 574f96341e refactor: rename the application package to docsgpt
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.
2026-09-07 10:20:43 +01:00

157 lines
6.4 KiB
Python

"""Guardrails catalog and decision-journal routes."""
from flask import jsonify, make_response, request
from flask_restx import Namespace, Resource
from docsgpt.api import api
from docsgpt.api.user.team_sharing import team_access_for
from docsgpt.core.settings import settings
from docsgpt.guardrails.checks.patterns import DEFAULT_PII_ENTITIES, PII_PATTERNS
from docsgpt.guardrails.config import DEFAULT_BLOCK_MESSAGE, MODES
from docsgpt.guardrails.guardrail_creator import GuardrailCreator
from docsgpt.guardrails import runtime as guardrails_runtime
from docsgpt.guardrails.types import ACTIONS_BY_STAGE, Stage
from docsgpt.storage.db.repositories.agents import AgentsRepository
from docsgpt.storage.db.repositories.guardrail_events import (
GuardrailEventsRepository,
)
from docsgpt.storage.db.session import db_readonly
agents_guardrails_ns = Namespace(
"guardrails", description="Agent guardrail configuration and audit", path="/api"
)
@agents_guardrails_ns.route("/guardrails/catalog")
class GuardrailCatalog(Resource):
@api.doc(description="List available guardrail checks and their capabilities")
def get(self):
if not request.decoded_token:
return {"success": False}, 401
floor = guardrails_runtime.instance_floor()
return make_response(
jsonify(
{
"success": True,
"enabled": bool(settings.GUARDRAILS_ENABLED),
"checks": GuardrailCreator.catalog(),
"stages": [s.value for s in Stage],
"modes": list(MODES),
"actions_by_stage": {
stage.value: sorted(a.value for a in actions)
for stage, actions in ACTIONS_BY_STAGE.items()
},
"default_block_message": DEFAULT_BLOCK_MESSAGE,
"pii_entities": sorted(PII_PATTERNS),
"default_pii_entities": DEFAULT_PII_ENTITIES,
# Only which (check, stage) pairs the floor claims, and the
# action it imposes. The settings stay server-side: handing
# every authenticated user the banned-term list and the
# policy prompts makes evading them trivial.
"floor": (
{
"mode": floor.mode,
"fail_open": floor.fail_open,
"controls": [
{
"check": c.check,
"stage": c.stage.value,
"action": c.action.value,
}
for c in floor.controls
],
}
if floor and floor.enabled
else None
),
}
),
200,
)
def _readable_agent(conn, agent_id: str, user: str):
"""Return the agent row when the caller may read it, else None."""
repo = AgentsRepository(conn)
agent = repo.get_any(agent_id, user)
if agent:
return agent
if team_access_for(conn, user, "agent", agent_id):
return repo.get_by_id(agent_id)
return None
@agents_guardrails_ns.route("/guardrails/events")
class GuardrailEvents(Resource):
@api.doc(
params={"agent_id": "Agent ID", "limit": "Max rows (default 100)",
"offset": "Row offset"},
description="List guardrail decisions recorded for an agent",
)
def get(self):
if not (decoded_token := request.decoded_token):
return {"success": False}, 401
user = decoded_token["sub"]
agent_id = request.args.get("agent_id")
if not agent_id:
return make_response(
jsonify({"success": False, "message": "agent_id required"}), 400
)
try:
limit = int(request.args.get("limit", 100))
offset = int(request.args.get("offset", 0))
except (TypeError, ValueError):
return make_response(
jsonify({"success": False, "message": "limit/offset must be integers"}),
400,
)
with db_readonly() as conn:
agent = _readable_agent(conn, agent_id, user)
if not agent:
return make_response(
jsonify({"success": False, "message": "Agent not found"}), 404
)
# Query on the row's UUID, not the caller's argument: a legacy
# 24-hex Mongo id resolves fine above but would blow up the cast.
# Rows stay scoped to the requesting user even on a shared agent —
# another member's blocked prompts are not this caller's to read.
events = GuardrailEventsRepository(conn).list_for_agent(
str(agent["id"]), user, limit=limit, offset=offset
)
return make_response(jsonify({"success": True, "events": events}), 200)
@agents_guardrails_ns.route("/guardrails/summary")
class GuardrailSummary(Resource):
@api.doc(
params={
"days": "Trailing window in days (default 30)",
"agent_id": "Scope the aggregate to one agent (optional)",
},
description="Aggregate guardrail activity for the caller",
)
def get(self):
if not (decoded_token := request.decoded_token):
return {"success": False}, 401
user = decoded_token["sub"]
try:
days = int(request.args.get("days", 30))
except (TypeError, ValueError):
return make_response(
jsonify({"success": False, "message": "days must be an integer"}), 400
)
agent_id = request.args.get("agent_id")
with db_readonly() as conn:
scoped_id = None
if agent_id:
agent = _readable_agent(conn, agent_id, user)
if not agent:
return make_response(
jsonify({"success": False, "message": "Agent not found"}), 404
)
scoped_id = str(agent["id"])
summary = GuardrailEventsRepository(conn).summary_for_user(
user, days=days, agent_id=scoped_id
)
return make_response(jsonify({"success": True, **summary}), 200)