feat(governance): 新增 learning writeback approval package

apps/api/src/api/v1/agents.py

@@ -64,6 +64,9 @@ from src.services.ai_agent_host_stateful_version_inventory import (
 from src.services.ai_agent_interaction_learning_proof import (
     load_latest_ai_agent_interaction_learning_proof,
 )
+from src.services.ai_agent_learning_writeback_approval_package import (
+    load_latest_ai_agent_learning_writeback_approval_package,
+)
 from src.services.ai_agent_live_read_model_gate import (
     load_latest_ai_agent_live_read_model_gate,
 )
@@ -663,6 +666,33 @@ async def get_agent_redis_dry_run_gate() -> dict[str, Any]:
         ) from exc
 
 
+@router.get(
+    "/agent-learning-writeback-approval-package",
+    response_model=dict[str, Any],
+    summary="取得 AI Agent learning writeback approval package",
+    description=(
+        "讀取最新已提交的 KM / PlayBook trust / timeline learning / replay score 回寫批准包；"
+        "此端點不寫 KM、不更新 PlayBook trust、不寫 timeline、不寫 replay score、不送 Telegram、"
+        "不啟動 runtime worker、不回傳未核准內部細節。"
+    ),
+)
+async def get_agent_learning_writeback_approval_package() -> dict[str, Any]:
+    """Return the latest read-only AI Agent learning writeback approval package."""
+    try:
+        return await asyncio.to_thread(load_latest_ai_agent_learning_writeback_approval_package)
+    except FileNotFoundError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail=str(exc),
+        ) from exc
+    except (json.JSONDecodeError, ValueError) as exc:
+        logger.error("ai_agent_learning_writeback_approval_package_invalid", error=str(exc))
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="AI Agent learning writeback approval package 無效",
+        ) from exc
+
+
 @router.get(
     "/agent-proactive-operations-contract",
     response_model=dict[str, Any],

apps/api/src/services/ai_agent_learning_writeback_approval_package.py

@@ -0,0 +1,157 @@
+"""
+AI Agent learning writeback approval package snapshot.
+
+Loads the latest committed P2-403D approval package for KM, PlayBook trust,
+timeline learning, and replay score writeback. This module never writes KM,
+updates PlayBook trust, writes timeline events, sends Telegram messages, or
+starts runtime workers.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any
+
+from src.services.snapshot_paths import default_evaluations_dir
+
+_DEFAULT_EVALUATIONS_DIR = default_evaluations_dir(Path(__file__))
+_SNAPSHOT_PATTERN = "ai_agent_learning_writeback_approval_package_*.json"
+_SCHEMA_VERSION = "ai_agent_learning_writeback_approval_package_v1"
+
+
+def load_latest_ai_agent_learning_writeback_approval_package(
+    evaluations_dir: Path | None = None,
+) -> dict[str, Any]:
+    """Load the newest committed AI Agent learning writeback approval package."""
+    directory = evaluations_dir or _DEFAULT_EVALUATIONS_DIR
+    candidates = sorted(directory.glob(_SNAPSHOT_PATTERN))
+    if not candidates:
+        raise FileNotFoundError(
+            f"no AI Agent learning writeback approval package snapshots found in {directory}"
+        )
+
+    latest = candidates[-1]
+    with latest.open(encoding="utf-8") as handle:
+        payload = json.load(handle)
+
+    if not isinstance(payload, dict):
+        raise ValueError(f"{latest}: expected JSON object")
+    _require_schema(payload, str(latest))
+    _require_read_only_boundaries(payload, str(latest))
+    _require_package_safety(payload, str(latest))
+    _require_rollup_consistency(payload, str(latest))
+    return payload
+
+
+def _require_schema(payload: dict[str, Any], label: str) -> None:
+    actual = payload.get("schema_version")
+    if actual != _SCHEMA_VERSION:
+        raise ValueError(f"{label}: expected schema_version={_SCHEMA_VERSION}, got {actual!r}")
+    status = payload.get("program_status") or {}
+    if status.get("read_only_mode") is not True:
+        raise ValueError(f"{label}: program_status.read_only_mode must be true")
+    if status.get("runtime_authority") != "approval_package_only_no_learning_writeback":
+        raise ValueError(f"{label}: runtime_authority must stay approval_package_only_no_learning_writeback")
+
+
+def _require_read_only_boundaries(payload: dict[str, Any], label: str) -> None:
+    boundaries = payload.get("approval_boundaries") or {}
+    enabled = sorted(key for key, value in boundaries.items() if value is not False)
+    if enabled:
+        raise ValueError(f"{label}: approval boundaries must remain false: {enabled}")
+
+    truth = payload.get("learning_truth") or {}
+    false_flags = {
+        "km_write_allowed",
+        "playbook_trust_write_allowed",
+        "timeline_learning_write_allowed",
+        "agent_replay_score_write_allowed",
+        "telegram_send_allowed",
+        "runtime_worker_allowed",
+    }
+    unsafe = sorted(flag for flag in false_flags if truth.get(flag) is not False)
+    if unsafe:
+        raise ValueError(f"{label}: learning truth flags must remain false: {unsafe}")
+
+    zero_counts = {
+        "live_learning_write_count",
+        "live_playbook_trust_update_count",
+        "live_km_update_count",
+    }
+    non_zero = sorted(key for key in zero_counts if truth.get(key) != 0)
+    if non_zero:
+        raise ValueError(f"{label}: live learning write counts must remain zero: {non_zero}")
+
+
+def _require_package_safety(payload: dict[str, Any], label: str) -> None:
+    package = payload.get("writeback_package") or {}
+    required_fields = set(package.get("required_fields") or [])
+    required_minimum = {
+        "learning_event_id",
+        "incident_id",
+        "target_surface",
+        "proposed_delta_summary",
+        "redacted_evidence_ref",
+        "owner_review_required",
+        "rollback_plan_ref",
+    }
+    missing = sorted(required_minimum - required_fields)
+    if missing:
+        raise ValueError(f"{label}: writeback package missing required fields: {missing}")
+    if package.get("owner_review_required") is not True:
+        raise ValueError(f"{label}: owner review must be required")
+    if package.get("rollback_required") is not True:
+        raise ValueError(f"{label}: rollback must be required")
+
+    redaction = payload.get("display_redaction_contract") or {}
+    if redaction.get("redaction_required") is not True:
+        raise ValueError(f"{label}: frontend redaction must be required")
+    for flag in ("raw_payload_display_allowed", "private_reasoning_display_allowed", "secret_value_display_allowed"):
+        if redaction.get(flag) is not False:
+            raise ValueError(f"{label}: {flag} must remain false")
+
+    rollback = payload.get("rollback_contract") or {}
+    if rollback.get("rollback_required") is not True:
+        raise ValueError(f"{label}: rollback_contract.rollback_required must be true")
+    if not rollback.get("rollback_steps"):
+        raise ValueError(f"{label}: rollback steps must not be empty")
+
+
+def _require_rollup_consistency(payload: dict[str, Any], label: str) -> None:
+    rollups = payload.get("rollups") or {}
+    gates = payload.get("review_gates") or []
+    lanes = payload.get("learning_lanes") or []
+    package = payload.get("writeback_package") or {}
+    truth = payload.get("learning_truth") or {}
+    expected_counts = {
+        "review_gate_count": len(gates),
+        "learning_lane_count": len(lanes),
+        "blocked_write_action_count": len({gate.get("blocked_write_action") for gate in gates}),
+        "required_field_count": len(package.get("required_fields") or []),
+        "forbidden_field_count": len(package.get("forbidden_fields") or []),
+    }
+    mismatched = {
+        key: {"expected": expected, "actual": rollups.get(key)}
+        for key, expected in expected_counts.items()
+        if rollups.get(key) != expected
+    }
+    if mismatched:
+        raise ValueError(f"{label}: rollup counts must match payload sections: {mismatched}")
+
+    approval_required = sorted(
+        gate.get("gate_id") for gate in gates if gate.get("status") == "approval_required"
+    )
+    if sorted(rollups.get("approval_required_gate_ids") or []) != approval_required:
+        raise ValueError(f"{label}: rollups.approval_required_gate_ids mismatch")
+
+    live_total = sum(
+        int(truth.get(key) or 0)
+        for key in (
+            "live_learning_write_count",
+            "live_playbook_trust_update_count",
+            "live_km_update_count",
+        )
+    )
+    if rollups.get("live_write_count_total") != live_total:
+        raise ValueError(f"{label}: rollups.live_write_count_total mismatch")