feat(governance): 新增 runtime verifier evidence review
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"""
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AI Agent runtime verifier evidence review snapshot.
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Loads the latest committed P2-403I runtime verifier evidence implementation
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review. This module never implements or executes the verifier, reads canonical
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targets, writes rollback work items, sends Telegram receipts, or starts a
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runtime worker.
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"""
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from __future__ import annotations
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import json
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from pathlib import Path
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from typing import Any
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from src.services.snapshot_paths import default_evaluations_dir
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_DEFAULT_EVALUATIONS_DIR = default_evaluations_dir(Path(__file__))
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_SNAPSHOT_PATTERN = "ai_agent_runtime_verifier_evidence_review_*.json"
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_SCHEMA_VERSION = "ai_agent_runtime_verifier_evidence_review_v1"
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def load_latest_ai_agent_runtime_verifier_evidence_review(
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evaluations_dir: Path | None = None,
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) -> dict[str, Any]:
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"""Load the newest committed AI Agent runtime verifier evidence review."""
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directory = evaluations_dir or _DEFAULT_EVALUATIONS_DIR
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candidates = sorted(directory.glob(_SNAPSHOT_PATTERN))
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if not candidates:
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raise FileNotFoundError(
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f"no AI Agent runtime verifier evidence review snapshots found in {directory}"
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)
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latest = candidates[-1]
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with latest.open(encoding="utf-8") as handle:
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payload = json.load(handle)
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if not isinstance(payload, dict):
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raise ValueError(f"{latest}: expected JSON object")
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_require_schema(payload, str(latest))
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_require_runtime_boundaries(payload, str(latest))
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_require_review_contract(payload, str(latest))
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_require_rollup_consistency(payload, str(latest))
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return payload
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def _require_schema(payload: dict[str, Any], label: str) -> None:
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if payload.get("schema_version") != _SCHEMA_VERSION:
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raise ValueError(f"{label}: expected schema_version={_SCHEMA_VERSION}")
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status = payload.get("program_status") or {}
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if status.get("read_only_mode") is not True:
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raise ValueError(f"{label}: program_status.read_only_mode must be true")
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if status.get("runtime_authority") != "runtime_verifier_evidence_review_only_no_live_execution":
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raise ValueError(
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f"{label}: runtime_authority must remain runtime_verifier_evidence_review_only_no_live_execution"
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)
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def _require_runtime_boundaries(payload: dict[str, Any], label: str) -> None:
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boundaries = payload.get("approval_boundaries") or {}
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enabled = sorted(key for key, value in boundaries.items() if value is not False)
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if enabled:
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raise ValueError(f"{label}: approval boundaries must remain false: {enabled}")
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truth = payload.get("review_truth") or {}
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false_flags = {
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"runtime_verifier_implementation_allowed",
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"post_write_verifier_execution_allowed",
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"canonical_readback_allowed",
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}
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unsafe = sorted(flag for flag in false_flags if truth.get(flag) is not False)
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if unsafe:
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raise ValueError(f"{label}: verifier review runtime flags must remain false: {unsafe}")
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zero_counts = {
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"runtime_verifier_executed_count",
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"canonical_readback_executed_count",
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"rollback_work_item_created_count",
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"telegram_failure_receipt_sent_count",
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"learning_writeback_after_verifier_count",
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}
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non_zero = sorted(key for key in zero_counts if truth.get(key) != 0)
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if non_zero:
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raise ValueError(f"{label}: verifier review counts must remain zero: {non_zero}")
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def _require_review_contract(payload: dict[str, Any], label: str) -> None:
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package = payload.get("review_package") or {}
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required_evidence = set(package.get("required_evidence") or [])
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required_minimum = {
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"approved_write_event_id",
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"dry_run_preview_hash",
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"target_write_surface",
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"canonical_readback_query_plan",
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"rollback_work_item_template",
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"failure_receipt_template",
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"redacted_evidence_refs",
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}
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missing = sorted(required_minimum - required_evidence)
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if missing:
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raise ValueError(f"{label}: runtime verifier review missing required evidence: {missing}")
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if not payload.get("evidence_checks"):
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raise ValueError(f"{label}: evidence checks must not be empty")
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if not payload.get("implementation_review_lanes"):
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raise ValueError(f"{label}: implementation review lanes must not be empty")
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if not payload.get("operator_actions"):
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raise ValueError(f"{label}: operator actions must not be empty")
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redaction = payload.get("display_redaction_contract") or {}
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if redaction.get("redaction_required") is not True:
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raise ValueError(f"{label}: frontend redaction must be required")
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for flag in ("raw_payload_display_allowed", "private_reasoning_display_allowed", "secret_value_display_allowed"):
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if redaction.get(flag) is not False:
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raise ValueError(f"{label}: {flag} must remain false")
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def _require_rollup_consistency(payload: dict[str, Any], label: str) -> None:
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rollups = payload.get("rollups") or {}
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checks = payload.get("evidence_checks") or []
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lanes = payload.get("implementation_review_lanes") or []
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actions = payload.get("operator_actions") or []
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package = payload.get("review_package") or {}
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expected_counts = {
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"evidence_check_count": len(checks),
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"implementation_review_lane_count": len(lanes),
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"operator_action_count": len(actions),
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"blocked_runtime_action_count": len({
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*(check.get("blocked_runtime_action") for check in checks),
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*(lane.get("blocked_runtime_action") for lane in lanes),
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*(action.get("blocked_runtime_action") for action in actions),
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}),
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"required_evidence_count": len(package.get("required_evidence") or []),
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"forbidden_evidence_count": len(package.get("forbidden_evidence") or []),
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}
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mismatched = {
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key: {"expected": expected, "actual": rollups.get(key)}
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for key, expected in expected_counts.items()
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if rollups.get(key) != expected
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}
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if mismatched:
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raise ValueError(f"{label}: rollup counts must match payload sections: {mismatched}")
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approval_required = sorted(
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action.get("action_id")
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for action in actions
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if action.get("status") == "approval_required"
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)
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if sorted(rollups.get("approval_required_action_ids") or []) != approval_required:
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raise ValueError(f"{label}: rollups.approval_required_action_ids mismatch")
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if rollups.get("live_verifier_execution_count") != 0:
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raise ValueError(f"{label}: live verifier execution count must remain zero")
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