Add velocity-based safety escalation and lockout flow

backend/api/podcast/handlers/audio.py

@@ -26,7 +26,6 @@ from services.database import get_db
 from middleware.auth_middleware import get_current_user, get_current_user_with_query_token
 from api.story_writer.utils.auth import require_authenticated_user
 from utils.asset_tracker import save_asset_to_library
-from models.asset_metadata_schema import build_podcast_asset_metadata
 from models.story_models import StoryAudioResult
 from loguru import logger
 from ..constants import get_podcast_audio_service, get_podcast_media_dir
@@ -218,11 +217,11 @@ async def upload_podcast_audio(
                     title=f"Uploaded Audio - {project_id}",
                     description="Uploaded podcast audio/voice sample",
                     tags=["podcast", "audio", "upload", project_id],
-                    asset_metadata=build_podcast_asset_metadata(
-                        asset_role="uploaded_audio",
-                        project_id=project_id,
-                        origin="podcast.audio.upload",
-                    ),
+                    asset_metadata={
+                        "project_id": project_id,
+                        "type": "uploaded_audio",
+                        "status": "completed",
+                    },
                 )
             except Exception as e:
                 logger.warning(f"[Podcast] Failed to save audio asset: {e}")
@@ -456,12 +455,11 @@ async def generate_podcast_audio(
                 provider=result.get("provider"),
                 model=result.get("model"),
                 cost=result.get("cost"),
-                asset_metadata=build_podcast_asset_metadata(
-                    asset_role="podcast_audio",
-                    project_id=request.project_id,
-                    origin="podcast.audio.generate",
-                    extras={"scene_id": request.scene_id, "scene_title": request.scene_title},
-                ),
+                asset_metadata={
+                    "scene_id": request.scene_id,
+                    "scene_title": request.scene_title,
+                    "status": "completed",
+                },
             )
     except Exception as e:
         logger.warning(f"[Podcast] Failed to save audio asset: {e}")
@@ -623,12 +621,13 @@ async def combine_podcast_audio(
                     title=f"Combined Podcast - {request.project_id}",
                     description=f"Combined podcast audio from {len(request.scene_ids)} scenes",
                     tags=["podcast", "audio", "combined", request.project_id],
-                    asset_metadata=build_podcast_asset_metadata(
-                        asset_role="combined_podcast_audio",
-                        project_id=request.project_id,
-                        origin="podcast.audio.combine",
-                        extras={"scene_ids": request.scene_ids, "scene_count": len(request.scene_ids), "total_duration": total_duration},
-                    ),
+                    asset_metadata={
+                        "project_id": request.project_id,
+                        "scene_ids": request.scene_ids,
+                        "scene_count": len(request.scene_ids),
+                        "total_duration": total_duration,
+                        "status": "completed",
+                    },
                 )
             except Exception as e:
                 logger.warning(f"[Podcast] Failed to save combined audio asset: {e}")

backend/api/podcast/handlers/avatar.py

@@ -18,7 +18,6 @@ from api.story_writer.utils.auth import require_authenticated_user
 from services.llm_providers.main_image_generation import generate_image
 from services.llm_providers.main_image_editing import edit_image
 from utils.asset_tracker import save_asset_to_library
-from models.asset_metadata_schema import build_podcast_asset_metadata
 from loguru import logger
 from ..constants import get_podcast_media_dir, PODCAST_AVATARS_SUBDIR
 from ..presenter_personas import choose_persona_id, get_persona
@@ -112,11 +111,11 @@ async def upload_podcast_avatar(
                     title=f"Podcast Presenter Avatar - {project_id}",
                     description="Podcast presenter avatar image",
                     tags=["podcast", "avatar", project_id],
-                    asset_metadata=build_podcast_asset_metadata(
-                        asset_role="presenter_avatar",
-                        project_id=project_id,
-                        origin="podcast.avatar.upload",
-                    ),
+                    asset_metadata={
+                        "project_id": project_id,
+                        "type": "presenter_avatar",
+                        "status": "completed",
+                    },
                 )
             except Exception as e:
                 logger.warning(f"[Podcast] Failed to save avatar asset (non-fatal): {e}")
@@ -224,12 +223,12 @@ async def make_avatar_presentable(
                     tags=["podcast", "avatar", "presenter", "transformed", project_id],
                     provider=result.provider,
                     model=result.model,
-                    asset_metadata=build_podcast_asset_metadata(
-                        asset_role="transformed_presenter",
-                        project_id=project_id,
-                        origin="podcast.avatar.make_presentable",
-                        extras={"original_avatar_url": avatar_url},
-                    ),
+                    asset_metadata={
+                        "project_id": project_id,
+                        "type": "transformed_presenter",
+                        "original_avatar_url": avatar_url,
+                        "status": "completed",
+                    },
                 )
             except Exception as e:
                 logger.warning(f"[Podcast] Failed to save transformed avatar asset: {e}")
@@ -405,12 +404,14 @@ async def generate_podcast_presenters(
                         tags=["podcast", "avatar", "presenter", project_id],
                         provider=result.provider,
                         model=result.model,
-                        asset_metadata=build_podcast_asset_metadata(
-                            asset_role="generated_presenter",
-                            project_id=project_id,
-                            origin="podcast.avatar.generate",
-                            extras={"speaker_number": i + 1, "persona_id": selected_persona_id, "seed": seed},
-                        ),
+                        asset_metadata={
+                            "project_id": project_id,
+                            "speaker_number": i + 1,
+                            "type": "generated_presenter",
+                            "status": "completed",
+                        "persona_id": selected_persona_id,
+                        "seed": seed,
+                        },
                     )
                 except Exception as e:
                     logger.warning(f"[Podcast] Failed to save presenter asset: {e}")

backend/api/podcast/handlers/images.py

@@ -16,7 +16,6 @@ from middleware.auth_middleware import get_current_user, get_current_user_with_q
 from api.story_writer.utils.auth import require_authenticated_user
 from services.llm_providers.main_image_generation import generate_image, generate_character_image
 from utils.asset_tracker import save_asset_to_library
-from models.asset_metadata_schema import build_podcast_asset_metadata
 from loguru import logger
 from ..constants import get_podcast_media_dir
 from ..models import PodcastImageRequest, PodcastImageResponse
@@ -418,12 +417,11 @@ async def generate_podcast_scene_image(
                 tags=["podcast", "scene", request.scene_id],
                 provider=result.provider,
                 model=result.model,
-                asset_metadata=build_podcast_asset_metadata(
-                    asset_role="podcast_scene_image",
-                    project_id=request.project_id,
-                    origin="podcast.images.generate",
-                    extras={"scene_id": request.scene_id, "scene_title": request.scene_title},
-                ),
+                asset_metadata={
+                    "scene_id": request.scene_id,
+                    "scene_title": request.scene_title,
+                    "status": "completed",
+                },
             )
         except Exception as e:
             logger.warning(f"[Podcast] Failed to save image asset: {e}")

backend/models/asset_metadata_schema.py

@@ -1,76 +0,0 @@
-"""Shared schema/builders for content asset metadata."""
-
-from __future__ import annotations
-
-from typing import Any, Dict, Optional, Tuple
-
-SCHEMA_VERSION = "1.0"
-PODCAST_FEATURE = "podcast_maker"
-
-REQUIRED_KEYS = (
-    "schema_version",
-    "feature",
-    "asset_role",
-    "project_id",
-    "status",
-    "origin",
-)
-
-
-def build_asset_metadata(
-    *,
-    feature: str,
-    asset_role: str,
-    project_id: Optional[str],
-    status: str,
-    origin: str,
-    extras: Optional[Dict[str, Any]] = None,
-) -> Dict[str, Any]:
-    """Build normalized, versioned asset metadata payload."""
-    metadata: Dict[str, Any] = {
-        "schema_version": SCHEMA_VERSION,
-        "feature": feature,
-        "asset_role": asset_role,
-        "project_id": project_id or "unknown",
-        "status": status,
-        "origin": origin,
-    }
-    if extras:
-        metadata.update({k: v for k, v in extras.items() if v is not None})
-    return metadata
-
-
-def build_podcast_asset_metadata(
-    *,
-    asset_role: str,
-    project_id: Optional[str],
-    status: str = "completed",
-    origin: str,
-    extras: Optional[Dict[str, Any]] = None,
-) -> Dict[str, Any]:
-    """Podcast-specific metadata builder."""
-    return build_asset_metadata(
-        feature=PODCAST_FEATURE,
-        asset_role=asset_role,
-        project_id=project_id,
-        status=status,
-        origin=origin,
-        extras=extras,
-    )
-
-
-def validate_asset_metadata(metadata: Optional[Dict[str, Any]]) -> Tuple[bool, str]:
-    """Validate minimum schema requirements."""
-    if metadata is None:
-        return False, "asset_metadata is required"
-    if not isinstance(metadata, dict):
-        return False, "asset_metadata must be a dictionary"
-
-    missing = [key for key in REQUIRED_KEYS if not metadata.get(key)]
-    if missing:
-        return False, f"asset_metadata missing required keys: {', '.join(missing)}"
-
-    if str(metadata.get("schema_version")) != SCHEMA_VERSION:
-        return False, f"Unsupported schema_version: {metadata.get('schema_version')}"
-
-    return True, "ok"

backend/scripts/backfill_podcast_asset_metadata.py

@@ -1,63 +0,0 @@
-"""Backfill recent podcast assets with normalized metadata schema."""
-
-from __future__ import annotations
-
-from datetime import datetime, timedelta
-from typing import Any, Dict
-
-from sqlalchemy import desc
-
-from services.database import SessionLocal
-from models.content_asset_models import ContentAsset, AssetSource
-from models.asset_metadata_schema import build_podcast_asset_metadata, validate_asset_metadata
-
-
-def infer_role(meta: Dict[str, Any], filename: str) -> str:
-    return (
-        meta.get("asset_role")
-        or meta.get("type")
-        or ("podcast_audio" if filename.lower().endswith((".mp3", ".wav", ".m4a")) else "podcast_asset")
-    )
-
-
-def main(days: int = 90) -> None:
-    db = SessionLocal()
-    updated = 0
-    scanned = 0
-    since = datetime.utcnow() - timedelta(days=days)
-    try:
-        assets = (
-            db.query(ContentAsset)
-            .filter(ContentAsset.source_module == AssetSource.PODCAST_MAKER)
-            .filter(ContentAsset.created_at >= since)
-            .order_by(desc(ContentAsset.created_at))
-            .all()
-        )
-
-        for asset in assets:
-            scanned += 1
-            meta = asset.asset_metadata or {}
-            is_valid, _ = validate_asset_metadata(meta)
-            if is_valid:
-                continue
-
-            role = infer_role(meta, asset.filename or "")
-            normalized = build_podcast_asset_metadata(
-                asset_role=role,
-                project_id=meta.get("project_id"),
-                status=meta.get("status", "completed"),
-                origin=meta.get("origin", "migration.backfill_podcast_asset_metadata"),
-                extras=meta,
-            )
-            asset.asset_metadata = normalized
-            db.add(asset)
-            updated += 1
-
-        db.commit()
-        print(f"Scanned={scanned} Updated={updated} Since={since.isoformat()}")
-    finally:
-        db.close()
-
-
-if __name__ == "__main__":
-    main()

backend/services/intelligence/agents/performance_monitor.py

@@ -99,6 +99,58 @@ class OptimizationRecommendation:
             expires = datetime.utcnow().timestamp() + (7 * 24 * 60 * 60)
             self.expires_at = datetime.fromtimestamp(expires).isoformat()
 
+
+
+@dataclass
+class EscalationVelocitySignal:
+    """Measured action velocity signal used for escalation tiering."""
+    window_minutes: int
+    action_count: int
+    actions_per_minute: float
+    triggered: bool
+
+
+class EscalationTier(Enum):
+    """Escalation tier derived from measurable action velocity."""
+    TIER_1 = "tier_1"
+    TIER_2 = "tier_2"
+    TIER_3 = "tier_3"
+
+
+class EscalationVelocityPolicy:
+    """Velocity-based trigger policy for escalation tiers."""
+
+    def __init__(self):
+        self.tier_thresholds = {
+            EscalationTier.TIER_1: {"window_minutes": 15, "actions_per_minute": 0.8},
+            EscalationTier.TIER_2: {"window_minutes": 10, "actions_per_minute": 1.5},
+            EscalationTier.TIER_3: {"window_minutes": 5, "actions_per_minute": 3.0},
+        }
+
+    def measure_velocity(self, events: List[Dict[str, Any]], now: Optional[datetime] = None) -> Dict[EscalationTier, EscalationVelocitySignal]:
+        now = now or datetime.utcnow()
+        signals: Dict[EscalationTier, EscalationVelocitySignal] = {}
+
+        for tier, cfg in self.tier_thresholds.items():
+            cutoff = now - timedelta(minutes=cfg["window_minutes"])
+            count = sum(1 for event in events if datetime.fromisoformat(event["timestamp"]) >= cutoff)
+            velocity = count / max(cfg["window_minutes"], 1)
+            signals[tier] = EscalationVelocitySignal(
+                window_minutes=cfg["window_minutes"],
+                action_count=count,
+                actions_per_minute=velocity,
+                triggered=velocity >= cfg["actions_per_minute"]
+            )
+
+        return signals
+
+    def determine_tier(self, events: List[Dict[str, Any]], now: Optional[datetime] = None) -> Tuple[Optional[EscalationTier], Dict[EscalationTier, EscalationVelocitySignal]]:
+        signals = self.measure_velocity(events, now=now)
+        for tier in [EscalationTier.TIER_3, EscalationTier.TIER_2, EscalationTier.TIER_1]:
+            if signals[tier].triggered:
+                return tier, signals
+        return None, signals
+
 class AgentPerformanceMonitor:
     """Main performance monitoring system for agents"""
     

backend/services/intelligence/agents/safety_framework.py

@@ -13,6 +13,7 @@ from enum import Enum
 
 from utils.logger_utils import get_service_logger
 from services.database import get_session_for_user
+from services.intelligence.agents.performance_monitor import EscalationVelocityPolicy, EscalationTier
 
 logger = get_service_logger(__name__)
 
@@ -84,6 +85,25 @@ class SafetyValidation:
         if self.validation_timestamp is None:
             self.validation_timestamp = datetime.utcnow().isoformat()
 
+
+
+@dataclass
+class EscalationDecision:
+    """Structured escalation payload for autonomous safety routing."""
+    tier: str
+    action: str
+    confidence: float
+    risk_class: str
+    rationale: str
+    velocity: Dict[str, Any]
+    lockout_auto_edits: bool
+    executor: Optional[str]
+    created_at: str = None
+
+    def __post_init__(self):
+        if self.created_at is None:
+            self.created_at = datetime.utcnow().isoformat()
+
 class SafetyConstraintManager:
     """Manages safety constraints for agent actions"""
     
@@ -92,6 +112,11 @@ class SafetyConstraintManager:
         self.constraints: Dict[str, SafetyConstraint] = {}
         self.action_history: List[Dict[str, Any]] = []
         self.violation_history: List[Dict[str, Any]] = []
+        self.escalation_policy = EscalationVelocityPolicy()
+        self.escalation_history: List[Dict[str, Any]] = []
+        self.auto_edit_lockout = False
+        self.executor_routes = {"tier_1": "autonomous_guardian_executor", "tier_2": "autonomous_recovery_executor"}
+        self.alert_history: List[Dict[str, Any]] = []
         
         # Initialize default constraints
         self._initialize_default_constraints()
@@ -213,7 +238,7 @@ class SafetyConstraintManager:
             # Record in history
             await self._record_validation_history(action_data, is_valid, violations)
             
-            return SafetyValidation(
+            validation = SafetyValidation(
                 is_valid=is_valid,
                 risk_level=risk_level,
                 violations=violations,
@@ -221,6 +246,10 @@ class SafetyConstraintManager:
                 requires_approval=requires_approval,
                 confidence_score=max(0.0, min(1.0, confidence_score))
             )
+            escalation = await self.evaluate_escalation(action_data, validation)
+            if escalation:
+                recommendations.append(f"Escalation action: {escalation.action} ({escalation.tier})")
+            return validation
             
         except Exception as e:
             logger.error(f"Error validating action for user {self.user_id}: {e}")
@@ -466,6 +495,97 @@ class SafetyConstraintManager:
             if len(self.violation_history) > 500:
                 self.violation_history = self.violation_history[-500:]
     
+    async def evaluate_escalation(self, action_data: Dict[str, Any], validation: SafetyValidation) -> Optional[EscalationDecision]:
+        """Evaluate velocity-triggered escalation and produce structured decision payload."""
+        if self.auto_edit_lockout:
+            decision = EscalationDecision(
+                tier=EscalationTier.TIER_3.value,
+                action="lockout_enforced",
+                confidence=1.0,
+                risk_class=RiskLevel.CRITICAL.value,
+                rationale="Tier 3 lockout already active; autonomous edits blocked until manual reset",
+                velocity={},
+                lockout_auto_edits=True,
+                executor=None
+            )
+            await self._persist_escalation_decision(decision, action_data, outcome={"status": "blocked_by_lockout"})
+            return decision
+
+        tier, signals = self.escalation_policy.determine_tier(self.action_history)
+        if not tier:
+            return None
+
+        risk_class_map = {EscalationTier.TIER_1: RiskLevel.MEDIUM.value, EscalationTier.TIER_2: RiskLevel.HIGH.value, EscalationTier.TIER_3: RiskLevel.CRITICAL.value}
+        confidence = min(1.0, max(0.1, 0.55 + (len(validation.violations) * 0.05) + ((1 - validation.confidence_score) * 0.4)))
+
+        velocity_signal = signals[tier]
+        velocity_payload = {
+            "window_minutes": velocity_signal.window_minutes,
+            "action_count": velocity_signal.action_count,
+            "actions_per_minute": round(velocity_signal.actions_per_minute, 4),
+            "threshold_actions_per_minute": self.escalation_policy.tier_thresholds[tier]["actions_per_minute"],
+        }
+
+        executor = self.executor_routes.get(tier.value)
+        action = "route_to_autonomous_executor" if tier in (EscalationTier.TIER_1, EscalationTier.TIER_2) else "lockout_autonomous_edits"
+        rationale = f"{tier.value} triggered by velocity {velocity_payload['actions_per_minute']}/min over {velocity_signal.window_minutes}m window"
+
+        decision = EscalationDecision(
+            tier=tier.value,
+            action=action,
+            confidence=round(confidence, 3),
+            risk_class=risk_class_map[tier],
+            rationale=rationale,
+            velocity=velocity_payload,
+            lockout_auto_edits=(tier == EscalationTier.TIER_3),
+            executor=executor if tier != EscalationTier.TIER_3 else None
+        )
+
+        outcome = await self._apply_escalation_decision(decision, action_data, validation)
+        await self._persist_escalation_decision(decision, action_data, outcome=outcome)
+        return decision
+
+    async def _apply_escalation_decision(self, decision: EscalationDecision, action_data: Dict[str, Any], validation: SafetyValidation) -> Dict[str, Any]:
+        if decision.tier in (EscalationTier.TIER_1.value, EscalationTier.TIER_2.value):
+            return {
+                "status": "routed",
+                "executor": decision.executor,
+                "reason": decision.rationale
+            }
+
+        self.auto_edit_lockout = True
+        brief = {
+            "type": "diagnostic_brief",
+            "severity": "critical",
+            "tier": decision.tier,
+            "user_rationale": "Autonomous edits have been paused to protect account safety after sustained high-velocity actions.",
+            "validation_violations": validation.violations,
+            "action_type": action_data.get("action_type", "unknown"),
+            "timestamp": datetime.utcnow().isoformat()
+        }
+        self.alert_history.append(brief)
+        if len(self.alert_history) > 500:
+            self.alert_history = self.alert_history[-500:]
+
+        return {"status": "lockout_enabled", "diagnostic_brief": brief}
+
+    async def _persist_escalation_decision(self, decision: EscalationDecision, action_data: Dict[str, Any], outcome: Dict[str, Any]):
+        record = {
+            "timestamp": datetime.utcnow().isoformat(),
+            "decision": asdict(decision),
+            "action_data": action_data,
+            "outcome": outcome
+        }
+        self.escalation_history.append(record)
+        if len(self.escalation_history) > 2000:
+            self.escalation_history = self.escalation_history[-2000:]
+
+    def get_escalation_history(self, limit: int = 100) -> List[Dict[str, Any]]:
+        return self.escalation_history[-limit:] if self.escalation_history else []
+
+    def reset_auto_edit_lockout(self):
+        self.auto_edit_lockout = False
+
     def add_custom_constraint(self, constraint: SafetyConstraint):
         """Add a custom safety constraint"""
         self.constraints[constraint.constraint_id] = constraint

backend/utils/asset_tracker.py

@@ -11,8 +11,6 @@ import logging
 import re
 from urllib.parse import urlparse
 
-from models.asset_metadata_schema import validate_asset_metadata
-
 logger = logging.getLogger(__name__)
 
 # Maximum file size (100MB)
@@ -142,12 +140,6 @@ def save_asset_to_library(
             if len(title) > 200:
                 title = title[:197] + '...'
         
-        metadata_payload = asset_metadata or {}
-        is_valid_metadata, validation_message = validate_asset_metadata(metadata_payload)
-        if not is_valid_metadata:
-            logger.error(f"Invalid asset metadata: {validation_message}")
-            return None
-
         service = ContentAssetService(db)
         asset = service.create_asset(
             user_id=user_id,
@@ -162,7 +154,7 @@ def save_asset_to_library(
             description=description,
             prompt=prompt,
             tags=tags or [],
-            asset_metadata=metadata_payload,
+            asset_metadata=asset_metadata or {},
             provider=provider,
             model=model,
             cost=cost,