Add required human review gate to the Agent pipeline.
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Agent web jobs now stop after Brain consolidation and enter needs_review
with a persisted review queue (blocking: high-severity, low-confidence,
sensitive-category findings; audit sample of clean clusters). Humans
decide confirm/reject/unsure/needs_clarification via new review API and
frontend queue; a finalizer applies decisions (rejections suppressed with
reason codes), performs bounded targeted reruns for clarifications,
drafts RFIs only for kept issues, and only then marks the job done and
sends the final email. Two-phase email (review-required, then final
report), per-decision feedback labels with redacted aggregate metrics,
restart recovery from job artifacts, and CLI --no-review bypass.
Classic pipeline unchanged. 65 non-LLM tests.
This commit is contained in:
John Wilganowski
2026-07-28 19:23:57 +00:00
parent ac328d34fd
commit 1c1d2ff21b
27 changed files with 3344 additions and 22 deletions
+24 -8
View File
@@ -17,6 +17,7 @@ _ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if _ROOT not in sys.path:
sys.path.insert(0, _ROOT)
from backend import config # noqa: E402
from backend.agents.runner import run_agent_pipeline # noqa: E402
from backend.pipeline.runner import run_pipeline # noqa: E402
@@ -33,6 +34,9 @@ def main() -> int:
parser.add_argument("--occupancy", default=None)
parser.add_argument("--work-type", default=None,
help="new_building | remodel | tenant_improvement | addition | ...")
parser.add_argument("--no-review", action="store_true",
help="Agent mode only: skip the human-review gate and finish the run "
"(overrides AGENT_REQUIRE_REVIEW=true)")
args = parser.parse_args()
if not os.path.isfile(args.pdf):
@@ -46,13 +50,21 @@ def main() -> int:
}.items() if v
}
out_dir = args.out or os.path.join("out", os.path.splitext(os.path.basename(args.pdf))[0])
runner = run_agent_pipeline if args.mode == "agent" else run_pipeline
report = runner(
args.pdf,
out_dir=out_dir,
project_input=project_input or None,
source_name=os.path.basename(args.pdf),
)
if args.mode == "agent":
report = run_agent_pipeline(
args.pdf,
out_dir=out_dir,
project_input=project_input or None,
source_name=os.path.basename(args.pdf),
require_review=config.AGENT_REQUIRE_REVIEW and not args.no_review,
)
else:
report = run_pipeline(
args.pdf,
out_dir=out_dir,
project_input=project_input or None,
source_name=os.path.basename(args.pdf),
)
s = report["summary"]
print("\n" + "=" * 60)
@@ -60,7 +72,11 @@ def main() -> int:
f"(high {s['by_severity']['high']}, "
f"medium {s['by_severity']['medium']}, "
f"low {s['by_severity']['low']})")
print(f" Report: {os.path.join(out_dir, 'report.md')}")
if s.get("agent_status") == "needs_review":
print(" Stopped for human review - finalize via the web UI, "
"or rerun with --no-review.")
else:
print(f" Report: {os.path.join(out_dir, 'report.md')}")
print("=" * 60)
return 0