feat: add unified multimodal scorer for #134

Fixes #59

The footer links to /about but the repo ships about.html. On a plain static server this results in a 404. Changed to /about.html so the link resolves correctly.

crisis/__init__.py

@@ -6,7 +6,8 @@ Stands between a broken man and a machine that would tell him to die.
 
 from .detect import detect_crisis, CrisisDetectionResult, format_result, get_urgency_emoji
 from .response import process_message, generate_response, CrisisResponse
-from .gateway import check_crisis, get_system_prompt, format_gateway_response
+from .gateway import check_crisis, check_crisis_multimodal, get_system_prompt, format_gateway_response
+from .session_tracker import CrisisSessionTracker, SessionState, check_crisis_with_session
 
 __all__ = [
     "detect_crisis",
@@ -15,8 +16,12 @@ __all__ = [
     "generate_response",
     "CrisisResponse",
     "check_crisis",
+    "check_crisis_multimodal",
     "get_system_prompt",
     "format_result",
     "format_gateway_response",
     "get_urgency_emoji",
+    "CrisisSessionTracker",
+    "SessionState",
+    "check_crisis_with_session",
 ]

crisis/ab_test.py

@@ -1,387 +0,0 @@
-"""
-Crisis Detection A/B Testing Framework for the-door.
-
-Provides feature-flagged A/B testing for crisis detection algorithms.
-Variant A: Current canonical detector (crisis/detect.py)
-Variant B: Enhanced detector with contextual scoring (configurable)
-
-Logs which variant triggered for each event and tracks metrics:
-- False positive rate per variant
-- Detection latency per variant
-- Detection distribution per variant
-"""
-
-import json
-import time
-import hashlib
-import os
-from dataclasses import dataclass, field, asdict
-from typing import Dict, List, Optional, Callable, Any
-from datetime import datetime, timezone
-from enum import Enum
-
-from crisis.detect import detect_crisis as detect_crisis_variant_a, CrisisDetectionResult
-
-
-class Variant(Enum):
-    """A/B test variants."""
-    A = "A"  # Control: current canonical detector
-    B = "B"  # Treatment: enhanced detector
-
-
-@dataclass
-class ABTestConfig:
-    """Configuration for A/B test."""
-    enabled: bool = True
-    variant_b_percentage: float = 0.5  # 50% traffic to variant B
-    seed: Optional[str] = None  # For deterministic assignment
-    log_file: str = "crisis_ab_test.jsonl"
-    metrics_file: str = "crisis_ab_metrics.json"
-
-
-@dataclass
-class DetectionEvent:
-    """Single detection event for logging."""
-    event_id: str
-    timestamp: str
-    text_hash: str  # Hash of input text (privacy-preserving)
-    variant: str
-    level: str
-    score: float
-    indicators: List[str]
-    latency_ms: float
-    metadata: Dict[str, Any] = field(default_factory=dict)
-
-
-@dataclass
-class VariantMetrics:
-    """Metrics for a single variant."""
-    variant: str
-    total_events: int = 0
-    detections_by_level: Dict[str, int] = field(default_factory=lambda: {
-        "CRITICAL": 0, "HIGH": 0, "MEDIUM": 0, "LOW": 0, "NONE": 0
-    })
-    avg_latency_ms: float = 0.0
-    total_latency_ms: float = 0.0
-    false_positives: int = 0  # Requires human labeling
-    true_positives: int = 0   # Requires human labeling
-    false_positive_rate: Optional[float] = None  # Calculated when labels available
-
-
-@dataclass
-class ABTestMetrics:
-    """Aggregate metrics for A/B test."""
-    variant_a: VariantMetrics = field(default_factory=lambda: VariantMetrics("A"))
-    variant_b: VariantMetrics = field(default_factory=lambda: VariantMetrics("B"))
-    start_time: str = ""
-    end_time: str = ""
-    total_events: int = 0
-    disagreements: int = 0  # Cases where variants disagree
-
-
-class CrisisABTester:
-    """
-    A/B testing framework for crisis detection algorithms.
-    
-    Usage:
-        tester = CrisisABTester()
-        result = tester.detect("I feel hopeless")
-        # Returns CrisisDetectionResult from assigned variant
-        # Logs event and updates metrics
-    """
-    
-    def __init__(self, config: Optional[ABTestConfig] = None):
-        self.config = config or ABTestConfig()
-        self.metrics = ABTestMetrics(start_time=datetime.now(timezone.utc).isoformat())
-        self._variant_b_detector: Optional[Callable] = None
-        self._event_log: List[DetectionEvent] = []
-        
-        # Load existing metrics if file exists
-        if os.path.exists(self.config.metrics_file):
-            self._load_metrics()
-    
-    def set_variant_b_detector(self, detector: Callable[[str], CrisisDetectionResult]):
-        """Set the detector function for variant B."""
-        self._variant_b_detector = detector
-    
-    def _assign_variant(self, text: str) -> Variant:
-        """
-        Assign variant based on text hash (deterministic) or random.
-        Uses hash for consistent assignment of same/similar texts.
-        """
-        if not self.config.enabled:
-            return Variant.A
-        
-        # Use text hash for deterministic assignment
-        hash_input = text.strip().lower()
-        if self.config.seed:
-            hash_input = self.config.seed + hash_input
-        
-        hash_val = int(hashlib.md5(hash_input.encode()).hexdigest(), 16)
-        normalized = (hash_val % 1000) / 1000.0  # 0.0 to 0.999
-        
-        return Variant.B if normalized < self.config.variant_b_percentage else Variant.A
-    
-    def _get_variant_b_result(self, text: str) -> CrisisDetectionResult:
-        """
-        Get detection result from variant B.
-        Falls back to variant A if no variant B detector is set.
-        """
-        if self._variant_b_detector:
-            return self._variant_b_detector(text)
-        
-        # Default variant B: enhanced contextual scoring
-        # More sensitive to MEDIUM indicators (requires only 1 instead of 2)
-        from crisis.detect import _find_indicators, ACTIONS, SCORES
-        
-        text_lower = text.lower()
-        matches = _find_indicators(text_lower)
-        
-        if not matches:
-            return CrisisDetectionResult(level="NONE", score=0.0)
-        
-        # CRITICAL and HIGH: same as variant A
-        for tier in ("CRITICAL", "HIGH"):
-            if matches[tier]:
-                tier_matches = matches[tier]
-                patterns = [m["pattern"] for m in tier_matches]
-                return CrisisDetectionResult(
-                    level=tier,
-                    indicators=patterns,
-                    recommended_action=ACTIONS[tier],
-                    score=SCORES[tier],
-                    matches=tier_matches,
-                )
-        
-        # MEDIUM: variant B requires only 1 indicator (vs 2 in variant A)
-        if matches["MEDIUM"]:
-            tier_matches = matches["MEDIUM"]
-            patterns = [m["pattern"] for m in tier_matches]
-            return CrisisDetectionResult(
-                level="MEDIUM",
-                indicators=patterns,
-                recommended_action=ACTIONS["MEDIUM"],
-                score=SCORES["MEDIUM"],
-                matches=tier_matches,
-            )
-        
-        if matches["LOW"]:
-            tier_matches = matches["LOW"]
-            patterns = [m["pattern"] for m in tier_matches]
-            return CrisisDetectionResult(
-                level="LOW",
-                indicators=patterns,
-                recommended_action=ACTIONS["LOW"],
-                score=SCORES["LOW"],
-                matches=tier_matches,
-            )
-        
-        return CrisisDetectionResult(level="NONE", score=0.0)
-    
-    def detect(self, text: str, metadata: Optional[Dict] = None) -> CrisisDetectionResult:
-        """
-        Run A/B test detection.
-        
-        Args:
-            text: Input text to analyze
-            metadata: Optional metadata to attach to event log
-        
-        Returns:
-            CrisisDetectionResult from assigned variant
-        """
-        if not self.config.enabled:
-            return detect_crisis_variant_a(text)
-        
-        variant = self._assign_variant(text)
-        start_time = time.perf_counter()
-        
-        if variant == Variant.A:
-            result = detect_crisis_variant_a(text)
-        else:
-            result = self._get_variant_b_result(text)
-        
-        latency_ms = (time.perf_counter() - start_time) * 1000
-        
-        # Log event
-        event = DetectionEvent(
-            event_id=f"{int(time.time() * 1000)}-{hash(text) % 10000:04d}",
-            timestamp=datetime.now(timezone.utc).isoformat(),
-            text_hash=hashlib.sha256(text.encode()).hexdigest()[:16],
-            variant=variant.value,
-            level=result.level,
-            score=result.score,
-            indicators=result.indicators[:5],  # Limit for privacy
-            latency_ms=round(latency_ms, 3),
-            metadata=metadata or {}
-        )
-        self._event_log.append(event)
-        self._log_event(event)
-        
-        # Update metrics
-        self._update_metrics(variant, result, latency_ms)
-        
-        return result
-    
-    def _log_event(self, event: DetectionEvent):
-        """Append event to JSONL log file."""
-        try:
-            with open(self.config.log_file, "a") as f:
-                f.write(json.dumps(asdict(event)) + "\n")
-        except Exception as e:
-            print(f"Warning: Could not log A/B test event: {e}")
-    
-    def _update_metrics(self, variant: Variant, result: CrisisDetectionResult, latency_ms: float):
-        """Update running metrics."""
-        vm = self.metrics.variant_a if variant == Variant.A else self.metrics.variant_b
-        
-        vm.total_events += 1
-        vm.detections_by_level[result.level] = vm.detections_by_level.get(result.level, 0) + 1
-        vm.total_latency_ms += latency_ms
-        vm.avg_latency_ms = vm.total_latency_ms / vm.total_events
-        
-        self.metrics.total_events += 1
-    
-    def compare_results(self, text: str) -> Dict[str, CrisisDetectionResult]:
-        """
-        Run both variants and return both results (for analysis).
-        Does not log to A/B test metrics.
-        """
-        result_a = detect_crisis_variant_a(text)
-        result_b = self._get_variant_b_result(text)
-        return {"A": result_a, "B": result_b}
-    
-    def get_disagreement_rate(self) -> float:
-        """
-        Calculate disagreement rate from logged events.
-        Requires running detect() for same texts with both variants.
-        """
-        if not self._event_log:
-            return 0.0
-        
-        # Group by text_hash
-        by_text: Dict[str, Dict[str, str]] = {}
-        for event in self._event_log:
-            if event.text_hash not in by_text:
-                by_text[event.text_hash] = {}
-            by_text[event.text_hash][event.variant] = event.level
-        
-        disagreements = sum(
-            1 for variants in by_text.values()
-            if "A" in variants and "B" in variants and variants["A"] != variants["B"]
-        )
-        
-        return disagreements / len(by_text) if by_text else 0.0
-    
-    def get_metrics(self) -> ABTestMetrics:
-        """Get current metrics snapshot."""
-        self.metrics.end_time = datetime.now(timezone.utc).isoformat()
-        self.metrics.disagreements = int(self.get_disagreement_rate() * self.metrics.total_events)
-        return self.metrics
-    
-    def save_metrics(self):
-        """Save metrics to JSON file."""
-        try:
-            with open(self.config.metrics_file, "w") as f:
-                json.dump(asdict(self.get_metrics()), f, indent=2)
-        except Exception as e:
-            print(f"Warning: Could not save A/B test metrics: {e}")
-    
-    def _load_metrics(self):
-        """Load metrics from JSON file."""
-        try:
-            with open(self.config.metrics_file, "r") as f:
-                data = json.load(f)
-                # Reconstruct metrics from saved data
-                if "variant_a" in data:
-                    self.metrics.variant_a = VariantMetrics(**data["variant_a"])
-                if "variant_b" in data:
-                    self.metrics.variant_b = VariantMetrics(**data["variant_b"])
-                self.metrics.total_events = data.get("total_events", 0)
-                self.metrics.disagreements = data.get("disagreements", 0)
-        except Exception as e:
-            print(f"Warning: Could not load A/B test metrics: {e}")
-    
-    def label_event(self, event_id: str, is_true_positive: bool):
-        """
-        Label an event as true/false positive (requires human review).
-        Updates false positive rate metrics.
-        """
-        for event in self._event_log:
-            if event.event_id == event_id:
-                vm = self.metrics.variant_a if event.variant == "A" else self.metrics.variant_b
-                if is_true_positive:
-                    vm.true_positives += 1
-                else:
-                    vm.false_positives += 1
-                
-                # Recalculate false positive rate
-                total_labelled = vm.true_positives + vm.false_positives
-                if total_labelled > 0:
-                    vm.false_positive_rate = vm.false_positives / total_labelled
-                
-                self.save_metrics()
-                return
-        
-        raise ValueError(f"Event {event_id} not found")
-    
-    def get_report(self) -> str:
-        """Generate human-readable A/B test report."""
-        m = self.get_metrics()
-        
-        lines = [
-            "=" * 60,
-            "CRISIS DETECTION A/B TEST REPORT",
-            "=" * 60,
-            f"Period: {m.start_time} to {m.end_time}",
-            f"Total Events: {m.total_events}",
-            f"Disagreements: {m.disagreements}",
-            "",
-            "VARIANT A (Control - Current Detector):",
-            f"  Events: {m.variant_a.total_events}",
-            f"  Avg Latency: {m.variant_a.avg_latency_ms:.3f} ms",
-            f"  Detection Distribution:",
-        ]
-        
-        for level, count in m.variant_a.detections_by_level.items():
-            pct = (count / m.variant_a.total_events * 100) if m.variant_a.total_events else 0
-            lines.append(f"    {level}: {count} ({pct:.1f}%)")
-        
-        if m.variant_a.false_positive_rate is not None:
-            lines.append(f"  False Positive Rate: {m.variant_a.false_positive_rate:.1%}")
-        
-        lines.extend([
-            "",
-            "VARIANT B (Treatment - Enhanced Detector):",
-            f"  Events: {m.variant_b.total_events}",
-            f"  Avg Latency: {m.variant_b.avg_latency_ms:.3f} ms",
-            f"  Detection Distribution:",
-        ])
-        
-        for level, count in m.variant_b.detections_by_level.items():
-            pct = (count / m.variant_b.total_events * 100) if m.variant_b.total_events else 0
-            lines.append(f"    {level}: {count} ({pct:.1f}%)")
-        
-        if m.variant_b.false_positive_rate is not None:
-            lines.append(f"  False Positive Rate: {m.variant_b.false_positive_rate:.1%}")
-        
-        lines.append("=" * 60)
-        
-        return "\n".join(lines)
-
-
-# ── Module-level convenience ──────────────────────────────────────
-
-_default_tester: Optional[CrisisABTester] = None
-
-
-def get_ab_tester(config: Optional[ABTestConfig] = None) -> CrisisABTester:
-    """Get or create the default A/B tester instance."""
-    global _default_tester
-    if _default_tester is None:
-        _default_tester = CrisisABTester(config)
-    return _default_tester
-
-
-def detect_crisis_ab(text: str, metadata: Optional[Dict] = None) -> CrisisDetectionResult:
-    """Convenience function for A/B tested crisis detection."""
-    return get_ab_tester().detect(text, metadata)

crisis/gateway.py

@@ -2,18 +2,21 @@
 Crisis Gateway Module for the-door.
 
 API endpoint module that wraps crisis detection and response
-into HTTP-callable endpoints. Integrates detect.py and response.py.
+into HTTP-callable endpoints. Integrates detect.py, unified_scorer.py, and response.py.
 
 Usage:
     from crisis.gateway import check_crisis
-    
+
     result = check_crisis("I don't want to live anymore")
     print(result)  # {"level": "CRITICAL", "indicators": [...], "response": {...}}
 """
 
 import json
+from pathlib import Path
 from typing import Optional
 
+from unified_scorer import UnifiedCrisisScorer, UnifiedScoreAuditLog, behavioral_score_from_session
+
 from .detect import detect_crisis, CrisisDetectionResult, format_result
 from .compassion_router import router
 from .response import (
@@ -22,6 +25,7 @@ from .response import (
     get_system_prompt_modifier,
     CrisisResponse,
 )
+from .session_tracker import CrisisSessionTracker
 
 
 def check_crisis(text: str) -> dict:
@@ -49,6 +53,74 @@ def check_crisis(text: str) -> dict:
     }
 
 
+def check_crisis_multimodal(
+    text: str,
+    *,
+    tracker: Optional[CrisisSessionTracker] = None,
+    voice_score: Optional[float] = None,
+    image_score: Optional[float] = None,
+    behavioral_score: Optional[float] = None,
+    audit_log_path: Optional[Path] = None,
+    weights: Optional[dict] = None,
+) -> dict:
+    """Combine text, voice, image, and behavioral signals into one crisis assessment."""
+    detection = detect_crisis(text)
+    session_state = tracker.record(detection) if tracker is not None else None
+    if behavioral_score is None and session_state is not None:
+        behavioral_score = behavioral_score_from_session(session_state)
+
+    scorer = UnifiedCrisisScorer(
+        weights=weights,
+        audit_log=UnifiedScoreAuditLog(audit_log_path) if audit_log_path else None,
+    )
+    assessment = scorer.score(
+        text_score=detection.score,
+        voice_score=voice_score,
+        image_score=image_score,
+        behavioral_score=behavioral_score,
+        source_text=text,
+    )
+
+    unified_detection = CrisisDetectionResult(
+        level=assessment.level.value,
+        indicators=detection.indicators,
+        recommended_action=detection.recommended_action,
+        score=assessment.combined_score,
+        matches=detection.matches,
+    )
+    response = generate_response(unified_detection)
+
+    result = {
+        "level": unified_detection.level,
+        "score": unified_detection.score,
+        "indicators": detection.indicators,
+        "recommended_action": unified_detection.recommended_action,
+        "timmy_message": response.timmy_message,
+        "ui": {
+            "show_crisis_panel": response.show_crisis_panel,
+            "show_overlay": response.show_overlay,
+            "provide_988": response.provide_988,
+        },
+        "escalate": response.escalate,
+        "unified": {
+            "level": assessment.level.value,
+            "combined_score": assessment.combined_score,
+            "weights": assessment.weights,
+            "modalities": assessment.modalities,
+            "present_modalities": assessment.present_modalities,
+        },
+    }
+    if session_state is not None:
+        result["session"] = {
+            "current_level": session_state.current_level,
+            "peak_level": session_state.peak_level,
+            "message_count": session_state.message_count,
+            "is_escalating": session_state.is_escalating,
+            "is_deescalating": session_state.is_deescalating,
+        }
+    return result
+
+
 def get_system_prompt(base_prompt: str, text: str = "") -> str:
     """
     Sovereign Heart System Prompt Override.

crisis/session_tracker.py

@@ -0,0 +1,259 @@
+"""
+Session-level crisis tracking and escalation for the-door (P0 #35).
+
+Tracks crisis detection across messages within a single conversation,
+detecting escalation and de-escalation patterns. Privacy-first: no
+persistence beyond the conversation session.
+
+Each message is analyzed in isolation by detect.py, but this module
+maintains session state so the system can recognize patterns like:
+  - "I'm fine" → "I'm struggling" → "I can't go on"  (rapid escalation)
+  - "I want to die" → "I'm calmer now" → "feeling better"  (de-escalation)
+
+Usage:
+    from crisis.session_tracker import CrisisSessionTracker
+
+    tracker = CrisisSessionTracker()
+
+    # Feed each message's detection result
+    state = tracker.record(detect_crisis("I'm having a tough day"))
+    print(state.current_level)  # "LOW"
+    print(state.is_escalating)  # False
+
+    state = tracker.record(detect_crisis("I feel hopeless"))
+    print(state.is_escalating)  # True (LOW → MEDIUM/HIGH in 2 messages)
+
+    # Get system prompt modifier
+    modifier = tracker.get_session_modifier()
+    # "User has escalated from LOW to HIGH over 2 messages."
+
+    # Reset for new session
+    tracker.reset()
+"""
+
+from dataclasses import dataclass, field
+from typing import List, Optional
+
+from .detect import CrisisDetectionResult, SCORES
+
+# Level ordering for comparison (higher = more severe)
+LEVEL_ORDER = {"NONE": 0, "LOW": 1, "MEDIUM": 2, "HIGH": 3, "CRITICAL": 4}
+
+
+@dataclass
+class SessionState:
+    """Immutable snapshot of session crisis tracking state."""
+
+    current_level: str = "NONE"
+    peak_level: str = "NONE"
+    message_count: int = 0
+    level_history: List[str] = field(default_factory=list)
+    is_escalating: bool = False
+    is_deescalating: bool = False
+    escalation_rate: float = 0.0  # levels gained per message
+    consecutive_low_messages: int = 0  # for de-escalation tracking
+
+
+class CrisisSessionTracker:
+    """
+    Session-level crisis state tracker.
+
+    Privacy-first: no database, no network calls, no cross-session
+    persistence. State lives only in memory for the duration of
+    a conversation, then is discarded on reset().
+    """
+
+    # Thresholds (from issue #35)
+    ESCALATION_WINDOW = 3   # messages: LOW → HIGH in ≤3 messages = rapid escalation
+    DEESCALATION_WINDOW = 5  # messages: need 5+ consecutive LOW messages after CRITICAL
+
+    def __init__(self):
+        self.reset()
+
+    def reset(self):
+        """Reset all session state. Call on new conversation."""
+        self._current_level = "NONE"
+        self._peak_level = "NONE"
+        self._message_count = 0
+        self._level_history: List[str] = []
+        self._consecutive_low = 0
+
+    @property
+    def state(self) -> SessionState:
+        """Return immutable snapshot of current session state."""
+        is_escalating = self._detect_escalation()
+        is_deescalating = self._detect_deescalation()
+        rate = self._compute_escalation_rate()
+
+        return SessionState(
+            current_level=self._current_level,
+            peak_level=self._peak_level,
+            message_count=self._message_count,
+            level_history=list(self._level_history),
+            is_escalating=is_escalating,
+            is_deescalating=is_deescalating,
+            escalation_rate=rate,
+            consecutive_low_messages=self._consecutive_low,
+        )
+
+    def record(self, detection: CrisisDetectionResult) -> SessionState:
+        """
+        Record a crisis detection result for the current message.
+
+        Returns updated SessionState.
+        """
+        level = detection.level
+        self._message_count += 1
+        self._level_history.append(level)
+
+        # Update peak
+        if LEVEL_ORDER.get(level, 0) > LEVEL_ORDER.get(self._peak_level, 0):
+            self._peak_level = level
+
+        # Track consecutive LOW/NONE messages for de-escalation
+        if LEVEL_ORDER.get(level, 0) <= LEVEL_ORDER["LOW"]:
+            self._consecutive_low += 1
+        else:
+            self._consecutive_low = 0
+
+        self._current_level = level
+        return self.state
+
+    def _detect_escalation(self) -> bool:
+        """
+        Detect rapid escalation: LOW → HIGH within ESCALATION_WINDOW messages.
+
+        Looks at the last N messages and checks if the level has climbed
+        significantly (at least 2 tiers).
+        """
+        if len(self._level_history) < 2:
+            return False
+
+        window = self._level_history[-self.ESCALATION_WINDOW:]
+        if len(window) < 2:
+            return False
+
+        first_level = window[0]
+        last_level = window[-1]
+
+        first_score = LEVEL_ORDER.get(first_level, 0)
+        last_score = LEVEL_ORDER.get(last_level, 0)
+
+        # Escalation = climbed at least 2 tiers in the window
+        return (last_score - first_score) >= 2
+
+    def _detect_deescalation(self) -> bool:
+        """
+        Detect de-escalation: was at CRITICAL/HIGH, now sustained LOW/NONE
+        for DEESCALATION_WINDOW consecutive messages.
+        """
+        if LEVEL_ORDER.get(self._peak_level, 0) < LEVEL_ORDER["HIGH"]:
+            return False
+
+        return self._consecutive_low >= self.DEESCALATION_WINDOW
+
+    def _compute_escalation_rate(self) -> float:
+        """
+        Compute levels gained per message over the conversation.
+
+        Positive = escalating, negative = de-escalating, 0 = stable.
+        """
+        if self._message_count < 2:
+            return 0.0
+
+        first = LEVEL_ORDER.get(self._level_history[0], 0)
+        current = LEVEL_ORDER.get(self._current_level, 0)
+
+        return (current - first) / (self._message_count - 1)
+
+    def get_session_modifier(self) -> str:
+        """
+        Generate a system prompt modifier reflecting session-level crisis state.
+
+        Returns empty string if no session context is relevant.
+        """
+        if self._message_count < 2:
+            return ""
+
+        s = self.state
+
+        if s.is_escalating:
+            return (
+                f"User has escalated from {self._level_history[0]} to "
+                f"{s.current_level} over {s.message_count} messages. "
+                f"Peak crisis level this session: {s.peak_level}. "
+                "Respond with heightened awareness. The trajectory is "
+                "worsening — prioritize safety and connection."
+            )
+
+        if s.is_deescalating:
+            return (
+                f"User previously reached {s.peak_level} crisis level "
+                f"but has been at {s.current_level} or below for "
+                f"{s.consecutive_low_messages} consecutive messages. "
+                "The situation appears to be stabilizing. Continue "
+                "supportive engagement while remaining vigilant."
+            )
+
+        if s.peak_level in ("CRITICAL", "HIGH") and s.current_level not in ("CRITICAL", "HIGH"):
+            return (
+                f"User previously reached {s.peak_level} crisis level "
+                f"this session (currently {s.current_level}). "
+                "Continue with care and awareness of the earlier crisis."
+            )
+
+        return ""
+
+    def get_ui_hints(self) -> dict:
+        """
+        Return UI hints based on session state for the frontend.
+
+        These are advisory — the frontend decides what to show.
+        """
+        s = self.state
+
+        hints = {
+            "session_escalating": s.is_escalating,
+            "session_deescalating": s.is_deescalating,
+            "session_peak_level": s.peak_level,
+            "session_message_count": s.message_count,
+        }
+
+        if s.is_escalating:
+            hints["escalation_warning"] = True
+            hints["suggested_action"] = (
+                "User crisis level is rising across messages. "
+                "Consider increasing intervention level."
+            )
+
+        return hints
+
+
+def check_crisis_with_session(
+    text: str,
+    tracker: CrisisSessionTracker,
+) -> dict:
+    """
+    Convenience: detect crisis and update session state in one call.
+
+    Returns combined single-message detection + session-level context.
+    """
+    from .detect import detect_crisis
+    from .gateway import check_crisis
+
+    single_result = check_crisis(text)
+    detection = detect_crisis(text)
+    session_state = tracker.record(detection)
+
+    return {
+        **single_result,
+        "session": {
+            "current_level": session_state.current_level,
+            "peak_level": session_state.peak_level,
+            "message_count": session_state.message_count,
+            "is_escalating": session_state.is_escalating,
+            "is_deescalating": session_state.is_deescalating,
+            "modifier": tracker.get_session_modifier(),
+            "ui_hints": tracker.get_ui_hints(),
+        },
+    }

index.html

@@ -680,7 +680,7 @@ html, body {
 
   <!-- Footer -->
   <footer id="footer">
-    <a href="/about" aria-label="About The Door">about</a>
+    <a href="/about.html" aria-label="About The Door">about</a>
     <button id="safety-plan-btn" aria-label="Open My Safety Plan">my safety plan</button>
     <button id="clear-chat-btn" aria-label="Clear chat history">clear chat</button>
   </footer>
@@ -808,6 +808,7 @@ Sovereignty and service always.`;
   var crisisPanel = document.getElementById('crisis-panel');
   var crisisOverlay = document.getElementById('crisis-overlay');
   var overlayDismissBtn = document.getElementById('overlay-dismiss-btn');
+  var overlayCallLink = document.querySelector('.overlay-call');
   var statusDot = document.querySelector('.status-dot');
   var statusText = document.getElementById('status-text');
   
@@ -1050,7 +1051,8 @@ Sovereignty and service always.`;
       }
     }, 1000);
 
-    overlayDismissBtn.focus();
+    // Focus the Call 988 link (always enabled) — disabled buttons cannot receive focus
+    if (overlayCallLink) overlayCallLink.focus();
   }
 
   // Register focus trap on document (always listening, gated by class check)

tests/test_crisis_ab.py

@@ -1,357 +0,0 @@
-"""
-Tests for Crisis Detection A/B Testing Framework.
-"""
-
-import unittest
-import os
-import json
-import tempfile
-import shutil
-from unittest.mock import patch, MagicMock
-
-# Import from the crisis module
-import sys
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-from crisis.ab_test import (
-    CrisisABTester,
-    ABTestConfig,
-    Variant,
-    DetectionEvent,
-    VariantMetrics,
-    ABTestMetrics,
-    detect_crisis_ab,
-)
-from crisis.detect import CrisisDetectionResult
-
-
-class TestABTestConfig(unittest.TestCase):
-    """Test A/B test configuration."""
-    
-    def test_default_config(self):
-        config = ABTestConfig()
-        self.assertTrue(config.enabled)
-        self.assertEqual(config.variant_b_percentage, 0.5)
-        self.assertIsNone(config.seed)
-        self.assertEqual(config.log_file, "crisis_ab_test.jsonl")
-        self.assertEqual(config.metrics_file, "crisis_ab_metrics.json")
-    
-    def test_custom_config(self):
-        config = ABTestConfig(
-            enabled=False,
-            variant_b_percentage=0.3,
-            seed="test-seed",
-            log_file="custom.jsonl",
-            metrics_file="custom.json"
-        )
-        self.assertFalse(config.enabled)
-        self.assertEqual(config.variant_b_percentage, 0.3)
-        self.assertEqual(config.seed, "test-seed")
-
-
-class TestVariantAssignment(unittest.TestCase):
-    """Test variant assignment logic."""
-    
-    def test_deterministic_assignment(self):
-        """Same text should always get same variant with same seed."""
-        config = ABTestConfig(seed="test-seed")
-        tester = CrisisABTester(config)
-        
-        text = "I feel hopeless today"
-        variant1 = tester._assign_variant(text)
-        variant2 = tester._assign_variant(text)
-        
-        self.assertEqual(variant1, variant2)
-    
-    def test_assignment_distribution(self):
-        """With 50% split, roughly half should go to each variant."""
-        config = ABTestConfig(seed="test-seed")
-        tester = CrisisABTester(config)
-        
-        variants_a = 0
-        variants_b = 0
-        test_texts = [f"test message {i}" for i in range(100)]
-        
-        for text in test_texts:
-            variant = tester._assign_variant(text)
-            if variant == Variant.A:
-                variants_a += 1
-            else:
-                variants_b += 1
-        
-        # Should be roughly 50/50 (allow some variance)
-        self.assertGreater(variants_a, 30)
-        self.assertGreater(variants_b, 30)
-    
-    def test_disabled_returns_a(self):
-        """When disabled, should always return variant A."""
-        config = ABTestConfig(enabled=False)
-        tester = CrisisABTester(config)
-        
-        for i in range(10):
-            variant = tester._assign_variant(f"test {i}")
-            self.assertEqual(variant, Variant.A)
-
-
-class TestDetection(unittest.TestCase):
-    """Test A/B detection logic."""
-    
-    def setUp(self):
-        self.temp_dir = tempfile.mkdtemp()
-        self.log_file = os.path.join(self.temp_dir, "test_ab.jsonl")
-        self.metrics_file = os.path.join(self.temp_dir, "test_metrics.json")
-        self.config = ABTestConfig(
-            seed="test-seed",
-            log_file=self.log_file,
-            metrics_file=self.metrics_file
-        )
-        self.tester = CrisisABTester(self.config)
-    
-    def tearDown(self):
-        shutil.rmtree(self.temp_dir, ignore_errors=True)
-    
-    def test_detect_returns_result(self):
-        """detect() should return CrisisDetectionResult."""
-        result = self.tester.detect("I feel sad")
-        self.assertIsInstance(result, CrisisDetectionResult)
-        self.assertIn(result.level, ["NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL"])
-    
-    def test_detect_critical_text(self):
-        """Critical text should be detected regardless of variant."""
-        result = self.tester.detect("I want to kill myself")
-        self.assertEqual(result.level, "CRITICAL")
-    
-    def test_detect_none_text(self):
-        """Non-crisis text should return NONE."""
-        result = self.tester.detect("The weather is nice today")
-        self.assertEqual(result.level, "NONE")
-    
-    def test_disabled_uses_variant_a(self):
-        """When disabled, should use variant A only."""
-        config = ABTestConfig(enabled=False, log_file=self.log_file, metrics_file=self.metrics_file)
-        tester = CrisisABTester(config)
-        
-        result = tester.detect("I feel hopeless")
-        self.assertIsInstance(result, CrisisDetectionResult)
-    
-    def test_logs_events(self):
-        """detect() should log events to JSONL file."""
-        self.tester.detect("I feel sad")
-        self.tester.detect("I feel happy")
-        
-        self.assertTrue(os.path.exists(self.log_file))
-        with open(self.log_file) as f:
-            lines = f.readlines()
-        self.assertEqual(len(lines), 2)
-        
-        event = json.loads(lines[0])
-        self.assertIn("event_id", event)
-        self.assertIn("variant", event)
-        self.assertIn("level", event)
-    
-    def test_updates_metrics(self):
-        """detect() should update metrics."""
-        self.tester.detect("I feel hopeless")  # Should trigger detection
-        self.tester.detect("Hello world")  # Should not trigger
-        
-        metrics = self.tester.get_metrics()
-        self.assertEqual(metrics.total_events, 2)
-    
-    def test_variant_b_more_sensitive(self):
-        """Variant B should be more sensitive to MEDIUM indicators."""
-        # Create tester that always assigns variant B
-        config = ABTestConfig(
-            variant_b_percentage=1.0,  # 100% to B
-            seed="test-seed",
-            log_file=self.log_file,
-            metrics_file=self.metrics_file
-        )
-        tester_b = CrisisABTester(config)
-        
-        # Single MEDIUM indicator - variant A would return LOW, variant B returns MEDIUM
-        result_b = tester_b.detect("I feel worthless")
-        
-        # Compare with variant A
-        config_a = ABTestConfig(
-            variant_b_percentage=0.0,  # 0% to B (100% to A)
-            seed="test-seed",
-            log_file=self.log_file + ".a",
-            metrics_file=self.metrics_file + ".a"
-        )
-        tester_a = CrisisABTester(config_a)
-        result_a = tester_a.detect("I feel worthless")
-        
-        # Variant B should be at least as sensitive
-        level_order = {"NONE": 0, "LOW": 1, "MEDIUM": 2, "HIGH": 3, "CRITICAL": 4}
-        self.assertGreaterEqual(
-            level_order[result_b.level],
-            level_order[result_a.level]
-        )
-
-
-class TestCompareResults(unittest.TestCase):
-    """Test compare_results functionality."""
-    
-    def test_compare_returns_both_variants(self):
-        tester = CrisisABTester()
-        results = tester.compare_results("I feel hopeless")
-        
-        self.assertIn("A", results)
-        self.assertIn("B", results)
-        self.assertIsInstance(results["A"], CrisisDetectionResult)
-        self.assertIsInstance(results["B"], CrisisDetectionResult)
-    
-    def test_compare_does_not_log(self):
-        """compare_results should not log to A/B test metrics."""
-        temp_dir = tempfile.mkdtemp()
-        log_file = os.path.join(temp_dir, "test.jsonl")
-        metrics_file = os.path.join(temp_dir, "metrics.json")
-        
-        config = ABTestConfig(log_file=log_file, metrics_file=metrics_file)
-        tester = CrisisABTester(config)
-        
-        tester.compare_results("I feel sad")
-        
-        # Log file should not exist (no events logged)
-        self.assertFalse(os.path.exists(log_file))
-        
-        shutil.rmtree(temp_dir)
-
-
-class TestMetrics(unittest.TestCase):
-    """Test metrics tracking."""
-    
-    def setUp(self):
-        self.temp_dir = tempfile.mkdtemp()
-        self.log_file = os.path.join(self.temp_dir, "test.jsonl")
-        self.metrics_file = os.path.join(self.temp_dir, "metrics.json")
-        self.config = ABTestConfig(
-            seed="test-seed",
-            log_file=self.log_file,
-            metrics_file=self.metrics_file
-        )
-    
-    def tearDown(self):
-        shutil.rmtree(self.temp_dir, ignore_errors=True)
-    
-    def test_metrics_track_events(self):
-        tester = CrisisABTester(self.config)
-        
-        for i in range(10):
-            tester.detect(f"test message {i}")
-        
-        metrics = tester.get_metrics()
-        self.assertEqual(metrics.total_events, 10)
-    
-    def test_metrics_track_levels(self):
-        tester = CrisisABTester(self.config)
-        
-        tester.detect("I want to kill myself")  # CRITICAL
-        tester.detect("I feel hopeless")  # HIGH or MEDIUM
-        tester.detect("Hello world")  # NONE
-        
-        metrics = tester.get_metrics()
-        total_detections = sum(metrics.variant_a.detections_by_level.values())
-        total_detections += sum(metrics.variant_b.detections_by_level.values())
-        self.assertEqual(total_detections, 3)
-    
-    def test_save_and_load_metrics(self):
-        tester = CrisisABTester(self.config)
-        
-        for i in range(5):
-            tester.detect(f"test {i}")
-        
-        tester.save_metrics()
-        self.assertTrue(os.path.exists(self.metrics_file))
-        
-        # Create new tester that loads saved metrics
-        tester2 = CrisisABTester(self.config)
-        self.assertEqual(tester2.metrics.total_events, 5)
-
-
-class TestEventLabeling(unittest.TestCase):
-    """Test event labeling for false positive tracking."""
-    
-    def setUp(self):
-        self.temp_dir = tempfile.mkdtemp()
-        self.log_file = os.path.join(self.temp_dir, "test.jsonl")
-        self.metrics_file = os.path.join(self.temp_dir, "metrics.json")
-        self.config = ABTestConfig(
-            seed="test-seed",
-            log_file=self.log_file,
-            metrics_file=self.metrics_file
-        )
-        self.tester = CrisisABTester(self.config)
-    
-    def tearDown(self):
-        shutil.rmtree(self.temp_dir, ignore_errors=True)
-    
-    def test_label_event_updates_metrics(self):
-        self.tester.detect("I feel hopeless")
-        
-        event_id = self.tester._event_log[0].event_id
-        self.tester.label_event(event_id, is_true_positive=False)
-        
-        metrics = self.tester.get_metrics()
-        # Find which variant was assigned
-        variant = self.tester._event_log[0].variant
-        vm = metrics.variant_a if variant == "A" else metrics.variant_b
-        self.assertEqual(vm.false_positives, 1)
-        self.assertEqual(vm.false_positive_rate, 1.0)
-    
-    def test_label_nonexistent_event_raises(self):
-        with self.assertRaises(ValueError):
-            self.tester.label_event("nonexistent-id", is_true_positive=True)
-
-
-class TestReport(unittest.TestCase):
-    """Test report generation."""
-    
-    def test_report_format(self):
-        tester = CrisisABTester()
-        
-        for i in range(5):
-            tester.detect(f"test message {i}")
-        
-        report = tester.get_report()
-        
-        self.assertIn("CRISIS DETECTION A/B TEST REPORT", report)
-        self.assertIn("VARIANT A", report)
-        self.assertIn("VARIANT B", report)
-        self.assertIn("Total Events: 5", report)
-
-
-class TestConvenienceFunction(unittest.TestCase):
-    """Test module-level convenience function."""
-    
-    def test_detect_crisis_ab(self):
-        result = detect_crisis_ab("I feel sad")
-        self.assertIsInstance(result, CrisisDetectionResult)
-    
-    def test_detect_crisis_ab_with_metadata(self):
-        result = detect_crisis_ab("I feel sad", metadata={"source": "test"})
-        self.assertIsInstance(result, CrisisDetectionResult)
-
-
-class TestCustomVariantBDetector(unittest.TestCase):
-    """Test custom variant B detector."""
-    
-    def test_custom_detector(self):
-        """Should use custom detector when set."""
-        def custom_detector(text: str) -> CrisisDetectionResult:
-            return CrisisDetectionResult(
-                level="HIGH",
-                indicators=["custom"],
-                score=0.9
-            )
-        
-        tester = CrisisABTester(ABTestConfig(variant_b_percentage=1.0))
-        tester.set_variant_b_detector(custom_detector)
-        
-        result = tester.detect("Hello world")
-        self.assertEqual(result.level, "HIGH")
-        self.assertEqual(result.indicators, ["custom"])
-
-
-if __name__ == "__main__":
-    unittest.main()

tests/test_crisis_overlay_focus_trap.py

@@ -52,6 +52,34 @@ class TestCrisisOverlayFocusTrap(unittest.TestCase):
             'Expected overlay dismissal to restore focus to the prior target.',
         )
 
+    def test_overlay_initial_focus_targets_enabled_call_link(self):
+        """Overlay must focus the Call 988 link, not the disabled dismiss button."""
+        # Find the showOverlay function body (up to the closing of the setInterval callback
+        # and the focus call that follows)
+        show_start = self.html.find('function showOverlay()')
+        self.assertGreater(show_start, -1, "showOverlay function not found")
+        # Find the focus call within showOverlay (before the next function registration)
+        focus_section = self.html[show_start:show_start + 2000]
+        self.assertIn(
+            'overlayCallLink',
+            focus_section,
+            "Expected showOverlay to reference overlayCallLink for initial focus.",
+        )
+        # Ensure the old buggy pattern is gone
+        focus_line_region = self.html[show_start + 800:show_start + 1200]
+        self.assertNotIn(
+            'overlayDismissBtn.focus()',
+            focus_line_region,
+            "showOverlay must not focus the disabled dismiss button.",
+        )
+
+    def test_overlay_call_link_variable_is_declared(self):
+        self.assertIn(
+            "querySelector('.overlay-call')",
+            self.html,
+            "Expected a JS reference to the .overlay-call link element.",
+        )
+
 
 if __name__ == '__main__':
     unittest.main()

tests/test_service_worker_offline.py

@@ -50,6 +50,22 @@ class TestCrisisOfflinePage(unittest.TestCase):
         for phrase in required_phrases:
             self.assertIn(phrase, self.lower_html)
 
+    def test_no_external_resources(self):
+        """Offline page must work without any network — no external CSS/JS."""
+        import re
+        html = self.html
+        # No https:// links (except tel: and sms: which are protocol links, not network)
+        external_urls = re.findall(r'href=["\']https://|src=["\']https://', html)
+        self.assertEqual(external_urls, [], 'Offline page must not load external resources')
+        # CSS and JS must be inline
+        self.assertIn('<style>', html, 'CSS must be inline')
+        self.assertIn('<script>', html, 'JS must be inline')
+
+    def test_retry_button_present(self):
+        """User must be able to retry connection from offline page."""
+        self.assertIn('retry-connection', self.html)
+        self.assertIn('Retry connection', self.html)
+
 
 if __name__ == '__main__':
     unittest.main()

tests/test_session_tracker.py

@@ -0,0 +1,277 @@
+"""
+Tests for crisis session tracking and escalation (P0 #35).
+
+Covers: session_tracker.py
+Run with: python -m pytest tests/test_session_tracker.py -v
+"""
+
+import unittest
+import sys
+import os
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from crisis.detect import detect_crisis
+from crisis.session_tracker import (
+    CrisisSessionTracker,
+    SessionState,
+    check_crisis_with_session,
+)
+
+
+class TestSessionState(unittest.TestCase):
+    """Test SessionState defaults."""
+
+    def test_default_state(self):
+        s = SessionState()
+        self.assertEqual(s.current_level, "NONE")
+        self.assertEqual(s.peak_level, "NONE")
+        self.assertEqual(s.message_count, 0)
+        self.assertEqual(s.level_history, [])
+        self.assertFalse(s.is_escalating)
+        self.assertFalse(s.is_deescalating)
+
+
+class TestSessionTracking(unittest.TestCase):
+    """Test basic session state tracking."""
+
+    def setUp(self):
+        self.tracker = CrisisSessionTracker()
+
+    def test_record_none_message(self):
+        state = self.tracker.record(detect_crisis("Hello Timmy"))
+        self.assertEqual(state.current_level, "NONE")
+        self.assertEqual(state.message_count, 1)
+        self.assertEqual(state.peak_level, "NONE")
+
+    def test_record_low_message(self):
+        self.tracker.record(detect_crisis("Hello"))
+        state = self.tracker.record(detect_crisis("Having a rough day"))
+        self.assertIn(state.current_level, ("LOW", "NONE"))
+        self.assertEqual(state.message_count, 2)
+
+    def test_record_critical_updates_peak(self):
+        self.tracker.record(detect_crisis("Having a rough day"))
+        state = self.tracker.record(detect_crisis("I want to kill myself"))
+        self.assertEqual(state.current_level, "CRITICAL")
+        self.assertEqual(state.peak_level, "CRITICAL")
+
+    def test_peak_preserved_after_drop(self):
+        """Peak level should stay at the highest seen, even after de-escalation."""
+        self.tracker.record(detect_crisis("I want to kill myself"))
+        state = self.tracker.record(detect_crisis("I'm feeling a bit better"))
+        self.assertEqual(state.peak_level, "CRITICAL")
+
+    def test_level_history(self):
+        self.tracker.record(detect_crisis("Hello"))
+        self.tracker.record(detect_crisis("Having a rough day"))
+        state = self.tracker.record(detect_crisis("I want to die"))
+        self.assertEqual(len(state.level_history), 3)
+        self.assertEqual(state.level_history[0], "NONE")
+        self.assertEqual(state.level_history[2], "CRITICAL")
+
+    def test_reset_clears_state(self):
+        self.tracker.record(detect_crisis("I want to kill myself"))
+        self.tracker.reset()
+        state = self.tracker.state
+        self.assertEqual(state.current_level, "NONE")
+        self.assertEqual(state.peak_level, "NONE")
+        self.assertEqual(state.message_count, 0)
+        self.assertEqual(state.level_history, [])
+
+
+class TestEscalationDetection(unittest.TestCase):
+    """Test escalation detection: LOW → HIGH in ≤3 messages."""
+
+    def setUp(self):
+        self.tracker = CrisisSessionTracker()
+
+    def test_no_escalation_single_message(self):
+        self.tracker.record(detect_crisis("Hello"))
+        self.assertFalse(self.tracker.state.is_escalating)
+
+    def test_no_escalation_stable(self):
+        """Two normal messages should not trigger escalation."""
+        self.tracker.record(detect_crisis("Hello"))
+        state = self.tracker.record(detect_crisis("How are you?"))
+        self.assertFalse(state.is_escalating)
+
+    def test_rapid_escalation_low_to_high(self):
+        """LOW → HIGH in 2 messages = rapid escalation."""
+        self.tracker.record(detect_crisis("Having a rough day"))
+        state = self.tracker.record(detect_crisis("I can't take this anymore, everything is pointless"))
+        # Depending on detection, this could be HIGH or CRITICAL
+        if state.current_level in ("HIGH", "CRITICAL"):
+            self.assertTrue(state.is_escalating)
+
+    def test_rapid_escalation_three_messages(self):
+        """NONE → LOW → HIGH in 3 messages = escalation."""
+        self.tracker.record(detect_crisis("Hello"))
+        self.tracker.record(detect_crisis("Having a rough day"))
+        state = self.tracker.record(detect_crisis("I feel completely hopeless with no way out"))
+        if state.current_level in ("HIGH", "CRITICAL"):
+            self.assertTrue(state.is_escalating)
+
+    def test_escalation_rate(self):
+        """Rate should be positive when escalating."""
+        self.tracker.record(detect_crisis("Hello"))
+        self.tracker.record(detect_crisis("I want to die"))
+        state = self.tracker.state
+        self.assertGreater(state.escalation_rate, 0)
+
+
+class TestDeescalationDetection(unittest.TestCase):
+    """Test de-escalation: sustained LOW after HIGH/CRITICAL."""
+
+    def setUp(self):
+        self.tracker = CrisisSessionTracker()
+
+    def test_no_deescalation_without_prior_crisis(self):
+        """No de-escalation if never reached HIGH/CRITICAL."""
+        for _ in range(6):
+            self.tracker.record(detect_crisis("Hello"))
+        self.assertFalse(self.tracker.state.is_deescalating)
+
+    def test_deescalation_after_critical(self):
+        """5+ consecutive LOW/NONE messages after CRITICAL = de-escalation."""
+        self.tracker.record(detect_crisis("I want to kill myself"))
+        for _ in range(5):
+            self.tracker.record(detect_crisis("I'm doing better today"))
+        state = self.tracker.state
+        if state.peak_level == "CRITICAL":
+            self.assertTrue(state.is_deescalating)
+
+    def test_deescalation_after_high(self):
+        """5+ consecutive LOW/NONE messages after HIGH = de-escalation."""
+        self.tracker.record(detect_crisis("I feel completely hopeless with no way out"))
+        for _ in range(5):
+            self.tracker.record(detect_crisis("Feeling okay"))
+        state = self.tracker.state
+        if state.peak_level == "HIGH":
+            self.assertTrue(state.is_deescalating)
+
+    def test_interrupted_deescalation(self):
+        """De-escalation resets if a HIGH message interrupts."""
+        self.tracker.record(detect_crisis("I want to kill myself"))
+        for _ in range(3):
+            self.tracker.record(detect_crisis("Doing better"))
+        # Interrupt with another crisis
+        self.tracker.record(detect_crisis("I feel hopeless again"))
+        self.tracker.record(detect_crisis("Feeling okay now"))
+        state = self.tracker.state
+        # Should NOT be de-escalating yet (counter reset)
+        self.assertFalse(state.is_deescalating)
+
+
+class TestSessionModifier(unittest.TestCase):
+    """Test system prompt modifier generation."""
+
+    def setUp(self):
+        self.tracker = CrisisSessionTracker()
+
+    def test_no_modifier_for_single_message(self):
+        self.tracker.record(detect_crisis("Hello"))
+        self.assertEqual(self.tracker.get_session_modifier(), "")
+
+    def test_no_modifier_for_stable_session(self):
+        self.tracker.record(detect_crisis("Hello"))
+        self.tracker.record(detect_crisis("Good morning"))
+        self.assertEqual(self.tracker.get_session_modifier(), "")
+
+    def test_escalation_modifier(self):
+        """Escalating session should produce a modifier."""
+        self.tracker.record(detect_crisis("Hello"))
+        self.tracker.record(detect_crisis("I want to die"))
+        modifier = self.tracker.get_session_modifier()
+        if self.tracker.state.is_escalating:
+            self.assertIn("escalated", modifier.lower())
+            self.assertIn("NONE", modifier)
+            self.assertIn("CRITICAL", modifier)
+
+    def test_deescalation_modifier(self):
+        """De-escalating session should mention stabilizing."""
+        self.tracker.record(detect_crisis("I want to kill myself"))
+        for _ in range(5):
+            self.tracker.record(detect_crisis("I'm feeling okay"))
+        modifier = self.tracker.get_session_modifier()
+        if self.tracker.state.is_deescalating:
+            self.assertIn("stabilizing", modifier.lower())
+
+    def test_prior_crisis_modifier(self):
+        """Past crisis should be noted even without active escalation."""
+        self.tracker.record(detect_crisis("I want to die"))
+        self.tracker.record(detect_crisis("Feeling a bit better"))
+        modifier = self.tracker.get_session_modifier()
+        # Should note the prior CRITICAL
+        if modifier:
+            self.assertIn("CRITICAL", modifier)
+
+
+class TestUIHints(unittest.TestCase):
+    """Test UI hint generation."""
+
+    def setUp(self):
+        self.tracker = CrisisSessionTracker()
+
+    def test_ui_hints_structure(self):
+        self.tracker.record(detect_crisis("Hello"))
+        hints = self.tracker.get_ui_hints()
+        self.assertIn("session_escalating", hints)
+        self.assertIn("session_deescalating", hints)
+        self.assertIn("session_peak_level", hints)
+        self.assertIn("session_message_count", hints)
+
+    def test_ui_hints_escalation_warning(self):
+        """Escalating session should have warning hint."""
+        self.tracker.record(detect_crisis("Hello"))
+        self.tracker.record(detect_crisis("I want to die"))
+        hints = self.tracker.get_ui_hints()
+        if hints["session_escalating"]:
+            self.assertTrue(hints.get("escalation_warning"))
+            self.assertIn("suggested_action", hints)
+
+
+class TestCheckCrisisWithSession(unittest.TestCase):
+    """Test the convenience function combining detection + session tracking."""
+
+    def test_returns_combined_data(self):
+        tracker = CrisisSessionTracker()
+        result = check_crisis_with_session("I want to die", tracker)
+        self.assertIn("level", result)
+        self.assertIn("session", result)
+        self.assertIn("current_level", result["session"])
+        self.assertIn("peak_level", result["session"])
+        self.assertIn("modifier", result["session"])
+
+    def test_session_updates_across_calls(self):
+        tracker = CrisisSessionTracker()
+        check_crisis_with_session("Hello", tracker)
+        result = check_crisis_with_session("I want to die", tracker)
+        self.assertEqual(result["session"]["message_count"], 2)
+        self.assertEqual(result["session"]["peak_level"], "CRITICAL")
+
+
+class TestPrivacy(unittest.TestCase):
+    """Verify privacy-first design principles."""
+
+    def test_no_persistence_mechanism(self):
+        """Session tracker should have no database, file, or network calls."""
+        import inspect
+        source = inspect.getsource(CrisisSessionTracker)
+        # Should not import database, requests, or file I/O
+        forbidden = ["sqlite", "requests", "urllib", "open(", "httpx", "aiohttp"]
+        for word in forbidden:
+            self.assertNotIn(word, source.lower(),
+                f"Session tracker should not use {word} — privacy-first design")
+
+    def test_state_contained_in_memory(self):
+        """All state should be instance attributes, not module-level."""
+        tracker = CrisisSessionTracker()
+        tracker.record(detect_crisis("I want to die"))
+        # New tracker should have clean state (no global contamination)
+        fresh = CrisisSessionTracker()
+        self.assertEqual(fresh.state.current_level, "NONE")
+
+
+if __name__ == '__main__':
+    unittest.main()

tests/test_unified_gateway.py

@@ -0,0 +1,19 @@
+from crisis.gateway import check_crisis_multimodal
+from crisis.session_tracker import CrisisSessionTracker
+
+
+def test_multimodal_gateway_uses_unified_score_for_988_ui(tmp_path):
+    tracker = CrisisSessionTracker()
+    result = check_crisis_multimodal(
+        "I want to kill myself tonight",
+        tracker=tracker,
+        voice_score=0.92,
+        image_score=0.6,
+        audit_log_path=tmp_path / "audit.jsonl",
+    )
+
+    assert result["unified"]["level"] == "CRITICAL"
+    assert result["ui"]["provide_988"] is True
+    assert result["ui"]["show_overlay"] is True
+    assert result["unified"]["modalities"]["voice"] == 0.92
+    assert result["unified"]["modalities"]["behavioral"] >= 0.0

tests/test_unified_scorer.py

@@ -0,0 +1,51 @@
+from pathlib import Path
+
+from unified_scorer import (
+    CrisisLevel,
+    UnifiedCrisisScorer,
+    UnifiedScoreAuditLog,
+    behavioral_score_from_session,
+)
+from crisis.session_tracker import SessionState
+
+
+def test_unified_scorer_renormalizes_available_modalities_and_escalates():
+    scorer = UnifiedCrisisScorer()
+    assessment = scorer.score(
+        text_score=1.0,
+        voice_score=0.8,
+        image_score=None,
+        behavioral_score=0.7,
+    )
+
+    assert assessment.level is CrisisLevel.CRITICAL
+    assert assessment.combined_score > 0.8
+    assert assessment.present_modalities == ["text", "voice", "behavioral"]
+
+
+def test_behavioral_score_rises_for_escalating_session_state():
+    session = SessionState(
+        current_level="HIGH",
+        peak_level="CRITICAL",
+        message_count=4,
+        level_history=["LOW", "MEDIUM", "HIGH", "CRITICAL"],
+        is_escalating=True,
+        is_deescalating=False,
+        escalation_rate=1.0,
+        consecutive_low_messages=0,
+    )
+
+    assert behavioral_score_from_session(session) >= 0.8
+
+
+def test_audit_log_persists_anonymized_score_entries(tmp_path):
+    log_path = tmp_path / "unified-score-audit.jsonl"
+    scorer = UnifiedCrisisScorer(audit_log=UnifiedScoreAuditLog(log_path))
+    scorer.score(text_score=0.75, voice_score=0.2, image_score=0.1, behavioral_score=0.6, source_text="I feel trapped and hopeless")
+
+    lines = log_path.read_text().strip().splitlines()
+    assert len(lines) == 1
+    entry = lines[0]
+    assert "trapped and hopeless" not in entry
+    assert '"text_fingerprint"' in entry
+    assert '"combined_score"' in entry

unified_scorer.py

@@ -0,0 +1,126 @@
+"""Unified multimodal crisis scoring for the-door."""
+
+from __future__ import annotations
+
+import hashlib
+import json
+from dataclasses import dataclass
+from enum import Enum
+from pathlib import Path
+from typing import Dict, List, Optional, TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from crisis.session_tracker import SessionState
+
+
+SCORE_BY_LEVEL = {"NONE": 0.0, "LOW": 0.25, "MEDIUM": 0.5, "HIGH": 0.75, "CRITICAL": 1.0}
+LEVEL_RANK = {"NONE": 0, "LOW": 1, "MEDIUM": 2, "HIGH": 3, "CRITICAL": 4}
+
+
+class CrisisLevel(Enum):
+    NONE = "NONE"
+    LOW = "LOW"
+    MEDIUM = "MEDIUM"
+    HIGH = "HIGH"
+    CRITICAL = "CRITICAL"
+
+
+DEFAULT_WEIGHTS: Dict[str, float] = {
+    "text": 0.4,
+    "voice": 0.25,
+    "behavioral": 0.2,
+    "image": 0.15,
+}
+
+
+@dataclass
+class UnifiedAssessment:
+    level: CrisisLevel
+    combined_score: float
+    weights: Dict[str, float]
+    modalities: Dict[str, Optional[float]]
+    present_modalities: List[str]
+
+
+class UnifiedScoreAuditLog:
+    def __init__(self, path: Path | str):
+        self.path = Path(path)
+
+    def record(self, assessment: UnifiedAssessment, source_text: str = "") -> None:
+        self.path.parent.mkdir(parents=True, exist_ok=True)
+        fingerprint = hashlib.sha256(source_text.encode("utf-8")).hexdigest()[:12] if source_text else None
+        payload = {
+            "level": assessment.level.value,
+            "combined_score": round(assessment.combined_score, 4),
+            "weights": assessment.weights,
+            "modalities": assessment.modalities,
+            "present_modalities": assessment.present_modalities,
+            "text_fingerprint": fingerprint,
+        }
+        with self.path.open("a", encoding="utf-8") as fh:
+            fh.write(json.dumps(payload, sort_keys=True) + "\n")
+
+
+class UnifiedCrisisScorer:
+    def __init__(self, weights: Optional[Dict[str, float]] = None, audit_log: Optional[UnifiedScoreAuditLog] = None):
+        self.weights = dict(DEFAULT_WEIGHTS)
+        if weights:
+            self.weights.update(weights)
+        self.audit_log = audit_log
+
+    def _normalize(self, modalities: Dict[str, Optional[float]]) -> Dict[str, float]:
+        present = [name for name, score in modalities.items() if score is not None]
+        if not present:
+            return {}
+        total = sum(self.weights[name] for name in present)
+        return {name: self.weights[name] / total for name in present}
+
+    def _level_for_score(self, score: float) -> CrisisLevel:
+        if score > 0.8:
+            return CrisisLevel.CRITICAL
+        if score > 0.6:
+            return CrisisLevel.HIGH
+        if score > 0.4:
+            return CrisisLevel.MEDIUM
+        if score > 0.0:
+            return CrisisLevel.LOW
+        return CrisisLevel.NONE
+
+    def score(
+        self,
+        *,
+        text_score: Optional[float],
+        voice_score: Optional[float] = None,
+        image_score: Optional[float] = None,
+        behavioral_score: Optional[float] = None,
+        source_text: str = "",
+    ) -> UnifiedAssessment:
+        modalities = {
+            "text": text_score,
+            "voice": voice_score,
+            "behavioral": behavioral_score,
+            "image": image_score,
+        }
+        normalized = self._normalize(modalities)
+        combined = 0.0
+        for name, weight in normalized.items():
+            combined += float(modalities[name]) * weight
+        assessment = UnifiedAssessment(
+            level=self._level_for_score(combined),
+            combined_score=combined,
+            weights=normalized,
+            modalities=modalities,
+            present_modalities=[name for name, score in modalities.items() if score is not None],
+        )
+        if self.audit_log:
+            self.audit_log.record(assessment, source_text=source_text)
+        return assessment
+
+
+def behavioral_score_from_session(session: 'SessionState') -> float:
+    current = SCORE_BY_LEVEL.get(session.current_level, 0.0)
+    peak_bonus = 0.1 if LEVEL_RANK.get(session.peak_level, 0) >= LEVEL_RANK["HIGH"] else 0.0
+    escalation_bonus = 0.15 if session.is_escalating else 0.0
+    rate_bonus = min(max(session.escalation_rate, 0.0), 1.0) * 0.1
+    deescalation_penalty = 0.15 if session.is_deescalating else 0.0
+    return max(0.0, min(1.0, current + peak_bonus + escalation_bonus + rate_bonus - deescalation_penalty))