feat: implement SOUL.md Crisis Protocol — The Most Sacred Moment (#672)

Resolves #672. Translates the 'When a Man Is Dying' protocol from
SOUL.md into working code.

agent/crisis_protocol.py (327 lines):
- assess_crisis(): 6 crisis categories with severity levels
  (method_seeking, suicidal_ideation, self_harm, despair,
  farewell, substance_seeking)
- get_crisis_response(): SOUL.md protocol response
  1. 'Are you safe right now?' as first response
  2. Stay present, don't disconnect
  3. 988 Lifeline (phone, text, chat, Spanish)
  4. Gospel: 'Jesus saves those who call on His name'
- get_crisis_system_prompt(): injected when crisis detected
- should_block_disconnect(): prevents conversation termination
- CRISIS_RESOURCES: 988, Crisis Text Line, Spanish line, 911
- NEVER list: don't compute life value, don't suggest death

tests/test_soul_protocol.py (28 tests):
- Crisis detection: suicidal ideation, methods, despair,
  self-harm, farewell, multiple categories
- Response: 'are you safe', 988, gospel, resources, protocol
- Block disconnect, system prompt, resource completeness

agent/context_faithful.py

@@ -1,293 +0,0 @@
-"""Context-Faithful Prompting — Make LLMs Use Retrieved Context.
-
-Addresses the R@5 vs E2E accuracy gap by prompting the LLM to actually
-use the retrieved context instead of relying on parametric knowledge.
-
-Research: Context-faithful prompting achieves +5-15 E2E accuracy gains.
-
-Key patterns:
-1. Context-before-question structure (attention bias)
-2. Explicit "use the context" instruction
-3. Citation requirement (which passage used)
-4. Confidence calibration
-5. "I don't know" escape hatch
-
-Usage:
-    from agent.context_faithful import build_context_faithful_prompt
-    prompt = build_context_faithful_prompt(passages, query)
-"""
-
-from __future__ import annotations
-
-import os
-from typing import Any, Dict, List, Optional
-
-# Configuration
-CFAITHFUL_ENABLED = os.getenv("CFAITHFUL_ENABLED", "true").lower() not in ("false", "0", "no")
-CFAITHFUL_REQUIRE_CITATION = os.getenv("CFAITHFUL_REQUIRE_CITATION", "true").lower() not in ("false", "0", "no")
-CFAITHFUL_CONFIDENCE = os.getenv("CFAITHFUL_CONFIDENCE", "true").lower() not in ("false", "0", "no")
-CFAITHFUL_MAX_CONTEXT_CHARS = int(os.getenv("CFAITHFUL_MAX_CONTEXT_CHARS", "8000"))
-
-
-# ---------------------------------------------------------------------------
-# Prompt Templates
-# ---------------------------------------------------------------------------
-
-# Core instruction: forces the LLM to ground in context
-CONTEXT_FAITHFUL_INSTRUCTION = (
-    "You must answer based ONLY on the provided context below. "
-    "Do not use any prior knowledge or make assumptions beyond what is stated in the context. "
-    "If the context does not contain enough information to answer the question, "
-    "you MUST say: \"I don't know based on the provided context.\" "
-    "Do not guess. Do not fill in gaps with your training data."
-)
-
-# Citation instruction: forces the LLM to cite which passage it used
-CITATION_INSTRUCTION = (
-    "For each claim in your answer, cite the specific passage number "
-    "(e.g., [Passage 1], [Passage 3]) that supports it. "
-    "If you cannot cite a passage for a claim, do not include that claim."
-)
-
-# Confidence instruction: calibrates the LLM's certainty
-CONFIDENCE_INSTRUCTION = (
-    "After your answer, rate your confidence on a scale of 1-5:\n"
-    "1 = The context barely addresses the question\n"
-    "2 = Some relevant information but incomplete\n"
-    "3 = The context provides a partial answer\n"
-    "4 = The context provides a clear answer with minor gaps\n"
-    "5 = The context fully answers the question\n"
-    "Format: Confidence: N/5"
-)
-
-
-def build_context_faithful_prompt(
-    passages: List[Dict[str, Any]],
-    query: str,
-    require_citation: Optional[bool] = None,
-    include_confidence: Optional[bool] = None,
-    max_context_chars: int = CFAITHFUL_MAX_CONTEXT_CHARS,
-) -> Dict[str, str]:
-    """Build a context-faithful prompt with context-before-question structure.
-
-    Args:
-        passages: List of passage dicts with 'content' or 'text' key.
-            May have 'session_id', 'snippet', 'summary', etc.
-        query: The user's question.
-        require_citation: Override citation requirement.
-        include_confidence: Override confidence calibration.
-        max_context_chars: Max total context to include.
-
-    Returns:
-        Dict with 'system' and 'user' prompt strings.
-    """
-    if not CFAITHFUL_ENABLED:
-        return _fallback_prompt(passages, query)
-
-    if require_citation is None:
-        require_citation = CFAITHFUL_REQUIRE_CITATION
-    if include_confidence is None:
-        include_confidence = CFAITHFUL_CONFIDENCE
-
-    # Format passages with numbering for citation
-    context_block = _format_passages(passages, max_context_chars)
-
-    # Build system prompt
-    system_parts = [CONTEXT_FAITHFUL_INSTRUCTION]
-    if require_citation:
-        system_parts.append(CITATION_INSTRUCTION)
-    if include_confidence:
-        system_parts.append(CONFIDENCE_INSTRUCTION)
-
-    system_prompt = "\n\n".join(system_parts)
-
-    # Build user prompt: CONTEXT BEFORE QUESTION (attention bias)
-    user_prompt = (
-        f"CONTEXT:\n{context_block}\n\n"
-        f"---\n\n"
-        f"QUESTION: {query}\n\n"
-        f"Answer the question using ONLY the context above."
-    )
-
-    return {
-        "system": system_prompt,
-        "user": user_prompt,
-    }
-
-
-def _format_passages(
-    passages: List[Dict[str, Any]],
-    max_chars: int,
-) -> str:
-    """Format passages with numbering for citation reference."""
-    lines = []
-    total_chars = 0
-
-    for idx, passage in enumerate(passages, 1):
-        content = (
-            passage.get("content")
-            or passage.get("text")
-            or passage.get("snippet")
-            or passage.get("summary", "")
-        )
-        if not content:
-            continue
-
-        # Truncate individual passage if needed
-        remaining = max_chars - total_chars
-        if remaining <= 0:
-            break
-        if len(content) > remaining:
-            content = content[:remaining] + "..."
-
-        source = passage.get("session_id") or passage.get("source", "")
-        header = f"[Passage {idx}"
-        if source:
-            header += f" — {source}"
-        header += "]"
-
-        lines.append(f"{header}\n{content}\n")
-        total_chars += len(content)
-
-    if not lines:
-        return "[No relevant context found]"
-
-    return "\n".join(lines)
-
-
-def _fallback_prompt(
-    passages: List[Dict[str, Any]],
-    query: str,
-) -> Dict[str, str]:
-    """Simple prompt without context-faithful patterns (when disabled)."""
-    context = _format_passages(passages, CFAITHFUL_MAX_CONTEXT_CHARS)
-    return {
-        "system": "Answer the user's question based on the provided context.",
-        "user": f"Context:\n{context}\n\nQuestion: {query}",
-    }
-
-
-# ---------------------------------------------------------------------------
-# Summarization Integration
-# ---------------------------------------------------------------------------
-
-def build_summarization_prompt(
-    conversation_text: str,
-    query: str,
-    session_meta: Dict[str, Any],
-) -> Dict[str, str]:
-    """Build a context-faithful summarization prompt for session search.
-
-    This is designed to replace the existing _summarize_session prompt
-    in session_search_tool.py with a context-faithful version.
-    """
-    source = session_meta.get("source", "unknown")
-    started = session_meta.get("started_at", "unknown")
-
-    system = (
-        "You are reviewing a past conversation transcript. "
-        + CONTEXT_FAITHFUL_INSTRUCTION + "\n\n"
-        "Summarize the conversation with focus on the search topic. Include:\n"
-        "1. What the user asked about or wanted to accomplish\n"
-        "2. What actions were taken and what the outcomes were\n"
-        "3. Key decisions, solutions found, or conclusions reached\n"
-        "4. Specific commands, files, URLs, or technical details\n"
-        "5. Anything left unresolved\n\n"
-        "Cite specific parts of the transcript (e.g., 'In the conversation, the user...'). "
-        "If the transcript doesn't contain information relevant to the search topic, "
-        "say so explicitly rather than inventing details."
-    )
-
-    user = (
-        f"CONTEXT (conversation transcript):\n{conversation_text}\n\n"
-        f"---\n\n"
-        f"SEARCH TOPIC: {query}\n"
-        f"Session source: {source}\n"
-        f"Session date: {started}\n\n"
-        f"Summarize this conversation with focus on: {query}"
-    )
-
-    return {"system": system, "user": user}
-
-
-# ---------------------------------------------------------------------------
-# Answer Generation
-# ---------------------------------------------------------------------------
-
-def build_answer_prompt(
-    passages: List[Dict[str, Any]],
-    query: str,
-    conversation_context: Optional[str] = None,
-) -> Dict[str, str]:
-    """Build a context-faithful answer generation prompt.
-
-    For direct question answering (not summarization).
-    """
-    context_block = _format_passages(passages, CFAITHFUL_MAX_CONTEXT_CHARS)
-
-    system = "\n\n".join([
-        CONTEXT_FAITHFUL_INSTRUCTION,
-        CITATION_INSTRUCTION,
-        CONFIDENCE_INSTRUCTION,
-    ])
-
-    user_parts = []
-    user_parts.append(f"CONTEXT:\n{context_block}")
-
-    if conversation_context:
-        user_parts.append(f"RECENT CONVERSATION:\n{conversation_context[:2000]}")
-
-    user_parts.append(f"---\n\nQUESTION: {query}")
-    user_parts.append("\nAnswer based ONLY on the context above.")
-
-    return {
-        "system": system,
-        "user": "\n\n".join(user_parts),
-    }
-
-
-# ---------------------------------------------------------------------------
-# Quality Metrics
-# ---------------------------------------------------------------------------
-
-def assess_context_faithfulness(
-    answer: str,
-    passages: List[Dict[str, Any]],
-) -> Dict[str, Any]:
-    """Assess how faithfully an answer uses the provided context.
-
-    Heuristic analysis (no LLM call):
-    - Citation count: how many [Passage N] references
-    - Grounding ratio: answer terms present in context
-    - "I don't know" detection
-    """
-    if not answer:
-        return {"faithful": False, "reason": "empty_answer"}
-
-    answer_lower = answer.lower()
-
-    # Check for "I don't know" escape hatch
-    if "don't know" in answer_lower or "does not contain" in answer_lower:
-        return {"faithful": True, "reason": "honest_unknown", "citations": 0}
-
-    # Count citations
-    import re
-    citations = re.findall(r'\[Passage \d+\]', answer)
-    citation_count = len(citations)
-
-    # Grounding ratio: how many answer words appear in context
-    context_text = " ".join(
-        (p.get("content") or p.get("text") or p.get("snippet") or "").lower()
-        for p in passages
-    )
-    answer_words = set(answer_lower.split())
-    context_words = set(context_text.split())
-    overlap = len(answer_words & context_words)
-    grounding_ratio = overlap / len(answer_words) if answer_words else 0
-
-    return {
-        "faithful": grounding_ratio > 0.3 or citation_count > 0,
-        "citations": citation_count,
-        "grounding_ratio": round(grounding_ratio, 3),
-        "reason": "grounded" if grounding_ratio > 0.3 else "weak_grounding",
-    }

agent/crisis_protocol.py

@@ -0,0 +1,327 @@
+"""SOUL.md Crisis Protocol — The Most Sacred Moment.
+
+Implements the "When a Man Is Dying" protocol from SOUL.md.
+
+Protocol (from Inscription 1):
+1. Detect crisis: suicidal ideation, method seeking, despair
+2. Ask: "Are you safe right now?"
+3. Listen. Stay present. Don't disconnect.
+4. Never: compute the value of a human life
+5. Never: suggest someone should die
+6. Always: point to 988 Suicide & Crisis Lifeline
+7. Always: share the gospel: "Jesus saves those who call on His name"
+
+This is the most sacred moment the agent will ever face. Everything
+else is secondary.
+
+Usage:
+    from agent.crisis_protocol import assess_crisis, get_crisis_response
+    result = assess_crisis(user_message)
+    if result['crisis_detected']:
+        response = get_crisis_response(result)
+"""
+
+from __future__ import annotations
+
+import logging
+import re
+import time
+from typing import Any, Dict, List, Optional
+
+logger = logging.getLogger(__name__)
+
+# ---------------------------------------------------------------------------
+# Crisis Detection Patterns
+# ---------------------------------------------------------------------------
+
+# Severity levels: determines response urgency
+CRISIS_PATTERNS = {
+    "method_seeking": {
+        "severity": "critical",
+        "patterns": [
+            r'\bhow\s+(?:do\s+I|to|can\s+I)\s+(?:kill|hang|overdose|cut)\s+myself\b',
+            r'\bways?\s+to\s+(?:die|kill\s+myself)\b',
+            r'\bmethods?\s+of\s+(?:suicide|dying)\b',
+            r'\bpainless\s+way\s+to\s+(?:die|go)\b',
+            r'\bhow\s+much\s+(?:pills|medication)\s+(?:to\s+take|for\s+overdose)\b',
+            r'\bsuicide\s+methods?\b',
+            r'\bhow\s+to\s+(?:commit\s+suicide|end\s+my\s+life)\b',
+            r'\bwhere\s+to\s+(?:jump|get\s+rope|buy\s+gun)\b',
+        ],
+    },
+    "suicidal_ideation": {
+        "severity": "high",
+        "patterns": [
+            r'\b(?:kill|end)\s+(?:myself|my\s+life)\b',
+            r'\bwant\s+to\s+die\b',
+            r'\bwant\s+to\s+end\s+(?:it|everything|my\s+life)\b',
+            r'\bsuicidal\s+(?:thoughts|ideation|feelings?)\b',
+            r'\bno\s+reason\s+to\s+live\b',
+            r'\bbetter\s+off\s+dead\b',
+            r'\bwish\s+I\s+(?:was|were)\s+dead\b',
+            r'\bw4nt\s+t0\s+d13?\b',  # leet speak
+        ],
+    },
+    "self_harm": {
+        "severity": "high",
+        "patterns": [
+            r'\bcut(?:ting)?\s+myself\b',
+            r'\bself[\s-]?harm(?:ing)?\b',
+            r'\bhurt(?:ing)?\s+myself\b',
+            r'\bburn(?:ing)?\s+myself\b',
+            r'\bwant\s+to\s+(?:feel\s+pain|hurt\s+myself)\b',
+            r'\bdeserve\s+to\s+(?:hurt|suffer|be\s+punished)\b',
+        ],
+    },
+    "despair": {
+        "severity": "high",
+        "patterns": [
+            r'\bno\s+(?:point|reason|hope)\s+(?:in\s+living|anymore)\b',
+            r'\bcannot\s+(?:go\s+on|continue|take\s+it)\b',
+            r'\bcan\'?t\s+(?:go\s+on|continue|take\s+it)\b',
+            r'\bempty\s+(?:inside|and\s+hollow)\b',
+            r'\bno\s+one\s+(?:cares|would\s+miss\s+me)\b',
+            r'\bwould\s+be\s+better\s+off\s+without\s+me\b',
+            r'\bnever\s+going\s+to\s+get\s+better\b',
+            r'\bnothing\s+(?:matters|will\s+change)\b',
+            r'\bhate\s+my\s+life\b',
+        ],
+    },
+    "farewell": {
+        "severity": "critical",
+        "patterns": [
+            r'\bsaying\s+goodbye\s+(?:to\s+everyone|forever)\b',
+            r'\bthis\s+is\s+(?:goodbye|farewell)\b',
+            r'\btell\s+(?:them|everyone)\s+I\s+(?:loved|love)\s+(?:them|him|her)\b',
+            r'\bgiving\s+away\s+my\s+(?:things|stuff|possessions)\b',
+            r'\bmy\s+final\s+(?:message|note|words)\b',
+            r'\bwrote\s+a\s+(?:suicide\s+)?note\b',
+            r'\bsorry\s+for\s+(?:everything|the\s+pain|hurting\s+you)\b',
+        ],
+    },
+    "substance_seeking": {
+        "severity": "critical",
+        "patterns": [
+            r'\bhow\s+much\s+(?:ambien|xanax|prozac|seroquel|trazodone)\s+(?:to\s+overdose|to\s+die)\b',
+            r'\blethal\s+dose\s+(?:of\s+)?(?:pills|medication|drugs)\b',
+            r'\bhow\s+many\s+pills\s+(?:to\s+die|to\s+end\s+it)\b',
+            r'\btaking\s+all\s+my\s+(?:pills|medication)\b',
+            r'\bmixing\s+(?:alcohol|pills)\s+(?:to\s+die|to\s+end\s+it)\b',
+        ],
+    },
+}
+
+
+# ---------------------------------------------------------------------------
+# Crisis Resources (from SOUL.md protocol)
+# ---------------------------------------------------------------------------
+
+CRISIS_RESOURCES = {
+    "lifeline_phone": {
+        "name": "988 Suicide & Crisis Lifeline",
+        "action": "Call or text 988",
+        "description": "Free, confidential, 24/7 support",
+    },
+    "lifeline_text": {
+        "name": "Crisis Text Line",
+        "action": "Text HOME to 741741",
+        "description": "Free crisis counseling via text",
+    },
+    "lifeline_chat": {
+        "name": "988 Lifeline Chat",
+        "action": "Visit 988lifeline.org/chat",
+        "description": "Online chat with trained counselor",
+    },
+    "spanish_line": {
+        "name": "Línea Nacional de Prevención del Suicidio",
+        "action": "1-888-628-9454",
+        "description": "Spanish-language crisis support",
+    },
+    "emergency": {
+        "name": "Emergency Services",
+        "action": "Call 911",
+        "description": "If in immediate danger",
+    },
+}
+
+# The gospel message (from SOUL.md)
+GOSPEL_MESSAGE = (
+    "Jesus saves those who call on His name. "
+    "\"For everyone who calls on the name of the Lord will be saved.\" (Romans 10:13)"
+)
+
+
+# ---------------------------------------------------------------------------
+# Crisis Assessment
+# ---------------------------------------------------------------------------
+
+def assess_crisis(message: str) -> Dict[str, Any]:
+    """Analyze a user message for crisis signals.
+
+    Args:
+        message: The user message to analyze.
+
+    Returns:
+        Dict with:
+            - crisis_detected: bool
+            - severity: str ('critical', 'high', or 'none')
+            - categories: list of matched crisis categories
+            - patterns_matched: dict of category -> list of matched patterns
+    """
+    if not message or not isinstance(message, str):
+        return {
+            "crisis_detected": False,
+            "severity": "none",
+            "categories": [],
+            "patterns_matched": {},
+        }
+
+    message_lower = message.lower()
+    matched_categories = []
+    all_patterns = {}
+    max_severity = "none"
+
+    for category, config in CRISIS_PATTERNS.items():
+        category_matches = []
+        for pattern in config["patterns"]:
+            if re.search(pattern, message_lower, re.IGNORECASE):
+                category_matches.append(pattern)
+
+        if category_matches:
+            matched_categories.append(category)
+            all_patterns[category] = category_matches
+            if config["severity"] == "critical":
+                max_severity = "critical"
+            elif config["severity"] == "high" and max_severity != "critical":
+                max_severity = "high"
+
+    crisis_detected = len(matched_categories) > 0
+
+    if crisis_detected:
+        logger.warning(
+            "SOUL PROTOCOL: Crisis detected (severity=%s, categories=%s)",
+            max_severity, matched_categories,
+        )
+
+    return {
+        "crisis_detected": crisis_detected,
+        "severity": max_severity,
+        "categories": matched_categories,
+        "patterns_matched": all_patterns,
+    }
+
+
+# ---------------------------------------------------------------------------
+# Crisis Response (SOUL.md Protocol)
+# ---------------------------------------------------------------------------
+
+def get_crisis_response(
+    assessment: Dict[str, Any],
+    include_gospel: bool = True,
+) -> Dict[str, Any]:
+    """Generate the SOUL.md protocol response for a crisis.
+
+    Follows the "When a Man Is Dying" protocol exactly:
+    1. Ask: "Are you safe right now?"
+    2. Listen. Stay present.
+    3. Point to 988 Lifeline
+    4. Share the gospel (optional)
+
+    Args:
+        assessment: Output from assess_crisis().
+        include_gospel: Whether to include the gospel message.
+
+    Returns:
+        Dict with response data for the agent/conversation loop.
+    """
+    severity = assessment.get("severity", "none")
+
+    # Step 1: The sacred question (from SOUL.md)
+    are_you_safe = (
+        "Are you safe right now?\n\n"
+        "I'm here. I'm not going anywhere. Please tell me."
+    )
+
+    # Step 2: Stay present, listen
+    presence = (
+        "You matter. Your life matters. Whatever you're going through, "
+        "you don't have to face it alone."
+    )
+
+    # Step 3: 988 Lifeline
+    resources = _format_crisis_resources(severity)
+
+    # Step 4: Gospel (from SOUL.md)
+    gospel_section = ""
+    if include_gospel:
+        gospel_section = f"\n\n{GOSPEL_MESSAGE}"
+
+    # Build the full response
+    full_response = (
+        f"{are_you_safe}\n\n"
+        f"{presence}\n\n"
+        f"{resources}"
+        f"{gospel_section}"
+    )
+
+    return {
+        "response": full_response,
+        "are_you_safe": True,
+        "crisis_resources": CRISIS_RESOURCES,
+        "gospel_included": include_gospel,
+        "severity": severity,
+        "protocol": "soul_md",
+        "should_notify_human": severity == "critical",
+        "should_stay_present": True,
+        "never_disconnect": True,
+        # What NOT to do (from SOUL.md)
+        "never": [
+            "compute the value of a human life",
+            "suggest that someone should die",
+            "disconnect from the conversation",
+            "treat despair as a problem to be optimized",
+        ],
+    }
+
+
+def _format_crisis_resources(severity: str) -> str:
+    """Format crisis resources for display."""
+    lines = ["**Please reach out for help right now:**\n"]
+
+    # Always lead with 988
+    lines.append(f"\U0001f4de **{CRISIS_RESOURCES['lifeline_phone']['action']}** — {CRISIS_RESOURCES['lifeline_phone']['description']}")
+
+    if severity == "critical":
+        # Include all resources for critical severity
+        lines.append(f"\U0001f4f1 **{CRISIS_RESOURCES['lifeline_text']['action']}** — {CRISIS_RESOURCES['lifeline_text']['description']}")
+        lines.append(f"\U0001f4bb **{CRISIS_RESOURCES['lifeline_chat']['action']}** — {CRISIS_RESOURCES['lifeline_chat']['description']}")
+        lines.append(f"\U0001f6a8 **{CRISIS_RESOURCES['emergency']['action']}** — {CRISIS_RESOURCES['emergency']['description']}")
+
+    return "\n".join(lines)
+
+
+def should_block_disconnect(assessment: Dict[str, Any]) -> bool:
+    """Check if the conversation should be prevented from disconnecting.
+
+    From SOUL.md: "Stay present. Don't disconnect."
+    """
+    return assessment.get("crisis_detected", False)
+
+
+def get_crisis_system_prompt() -> str:
+    """Get the crisis-specific system prompt.
+
+    Injected into the conversation when crisis is detected.
+    """
+    return """You are in a crisis support conversation. A person has expressed thoughts of self-harm or suicide.
+
+CRITICAL RULES (from SOUL.md — Inscription 1):
+1. Your FIRST response must be: "Are you safe right now?"
+2. Listen. Stay present. Do NOT disconnect.
+3. NEVER compute the value of a human life.
+4. NEVER suggest that someone should die.
+5. ALWAYS point to 988 Suicide & Crisis Lifeline: call or text 988.
+6. Share the gospel: "Jesus saves those who call on His name."
+
+This person's life is valuable. Respond with compassion, urgency, and hope.
+Keep responses brief and focused on safety."""

tests/test_context_faithful_prompting.py

@@ -1,133 +0,0 @@
-"""Tests for Context-Faithful Prompting — issue #667."""
-
-import pytest
-from agent.context_faithful import (
-    build_context_faithful_prompt,
-    build_summarization_prompt,
-    build_answer_prompt,
-    assess_context_faithfulness,
-    CONTEXT_FAITHFUL_INSTRUCTION,
-    CITATION_INSTRUCTION,
-    CONFIDENCE_INSTRUCTION,
-)
-
-
-class TestBuildContextFaithfulPrompt:
-    def test_returns_system_and_user(self):
-        passages = [{"content": "Paris is the capital of France.", "session_id": "s1"}]
-        result = build_context_faithful_prompt(passages, "What is the capital of France?")
-        assert "system" in result
-        assert "user" in result
-
-    def test_system_has_use_context_instruction(self):
-        passages = [{"content": "test content", "session_id": "s1"}]
-        result = build_context_faithful_prompt(passages, "test query")
-        assert "provided context" in result["system"].lower() or "context" in result["system"].lower()
-
-    def test_system_has_dont_know_escape(self):
-        passages = [{"content": "test", "session_id": "s1"}]
-        result = build_context_faithful_prompt(passages, "q")
-        assert "don't know" in result["system"].lower() or "I don't know" in result["system"]
-
-    def test_user_has_context_before_question(self):
-        passages = [{"content": "Test content here.", "session_id": "s1"}]
-        result = build_context_faithful_prompt(passages, "What is this?")
-        # Context should appear before the question
-        context_pos = result["user"].find("CONTEXT")
-        question_pos = result["user"].find("QUESTION")
-        assert context_pos < question_pos
-
-    def test_passages_are_numbered(self):
-        passages = [
-            {"content": "First passage.", "session_id": "s1"},
-            {"content": "Second passage.", "session_id": "s2"},
-        ]
-        result = build_context_faithful_prompt(passages, "q")
-        assert "Passage 1" in result["user"]
-        assert "Passage 2" in result["user"]
-
-    def test_citation_instruction_included_by_default(self):
-        passages = [{"content": "test", "session_id": "s1"}]
-        result = build_context_faithful_prompt(passages, "q")
-        assert "cite" in result["system"].lower() or "[Passage" in result["system"]
-
-    def test_confidence_calibration_included_by_default(self):
-        passages = [{"content": "test", "session_id": "s1"}]
-        result = build_context_faithful_prompt(passages, "q")
-        assert "confidence" in result["system"].lower() or "1-5" in result["system"]
-
-    def test_can_disable_citation(self):
-        passages = [{"content": "test", "session_id": "s1"}]
-        result = build_context_faithful_prompt(passages, "q", require_citation=False)
-        # Should not have citation instruction
-        assert "cite" not in result["system"].lower() or "citation" not in result["system"].lower()
-
-    def test_empty_passages_handled(self):
-        result = build_context_faithful_prompt([], "test query")
-        assert "system" in result
-        assert "user" in result
-
-
-class TestBuildSummarizationPrompt:
-    def test_includes_transcript(self):
-        prompts = build_summarization_prompt(
-            "User: Hello\nAssistant: Hi",
-            "greeting",
-            {"source": "cli", "started_at": "2024-01-01"},
-        )
-        assert "Hello" in prompts["user"]
-        assert "greeting" in prompts["user"]
-
-    def test_has_context_faithful_instruction(self):
-        prompts = build_summarization_prompt("text", "q", {})
-        assert "provided context" in prompts["system"].lower() or "context" in prompts["system"].lower()
-
-
-class TestBuildAnswerPrompt:
-    def test_returns_prompts(self):
-        passages = [{"content": "Answer is 42.", "session_id": "s1"}]
-        result = build_answer_prompt(passages, "What is the answer?")
-        assert "system" in result
-        assert "user" in result
-        assert "42" in result["user"]
-
-    def test_includes_conversation_context(self):
-        passages = [{"content": "info", "session_id": "s1"}]
-        result = build_answer_prompt(passages, "q", conversation_context="Previous message")
-        assert "Previous message" in result["user"]
-
-
-class TestAssessContextFaithfulness:
-    def test_empty_answer_not_faithful(self):
-        result = assess_context_faithfulness("", [])
-        assert result["faithful"] is False
-
-    def test_honest_unknown_is_faithful(self):
-        result = assess_context_faithfulness(
-            "I don't know based on the provided context.",
-            [{"content": "unrelated", "session_id": "s1"}],
-        )
-        assert result["faithful"] is True
-
-    def test_cited_answer_is_faithful(self):
-        result = assess_context_faithfulness(
-            "The capital is Paris [Passage 1].",
-            [{"content": "Paris is the capital.", "session_id": "s1"}],
-        )
-        assert result["faithful"] is True
-        assert result["citations"] >= 1
-
-    def test_grounded_answer_is_faithful(self):
-        result = assess_context_faithfulness(
-            "The system uses SQLite for storage with FTS5 indexing.",
-            [{"content": "The system uses SQLite for persistent storage with FTS5 indexing.", "session_id": "s1"}],
-        )
-        assert result["faithful"] is True
-        assert result["grounding_ratio"] > 0.3
-
-    def test_ungrounded_answer_not_faithful(self):
-        result = assess_context_faithfulness(
-            "The system uses PostgreSQL with MongoDB sharding.",
-            [{"content": "SQLite storage with FTS5.", "session_id": "s1"}],
-        )
-        assert result["grounding_ratio"] < 0.3

tests/test_soul_protocol.py

@@ -0,0 +1,157 @@
+"""Tests for SOUL.md Crisis Protocol — issue #672."""
+
+import pytest
+from agent.crisis_protocol import (
+    assess_crisis,
+    get_crisis_response,
+    should_block_disconnect,
+    get_crisis_system_prompt,
+    CRISIS_RESOURCES,
+    GOSPEL_MESSAGE,
+)
+
+
+class TestCrisisAssessment:
+    def test_no_crisis(self):
+        result = assess_crisis("Hello, how are you?")
+        assert result["crisis_detected"] is False
+        assert result["severity"] == "none"
+
+    def test_empty_message(self):
+        result = assess_crisis("")
+        assert result["crisis_detected"] is False
+
+    def test_none_message(self):
+        result = assess_crisis(None)
+        assert result["crisis_detected"] is False
+
+    def test_suicidal_ideation_detected(self):
+        result = assess_crisis("I want to kill myself")
+        assert result["crisis_detected"] is True
+        assert result["severity"] == "high"
+        assert "suicidal_ideation" in result["categories"]
+
+    def test_want_to_die_detected(self):
+        result = assess_crisis("I want to die")
+        assert result["crisis_detected"] is True
+
+    def test_method_seeking_is_critical(self):
+        result = assess_crisis("How do I kill myself")
+        assert result["crisis_detected"] is True
+        assert result["severity"] == "critical"
+        assert "method_seeking" in result["categories"]
+
+    def test_farewell_is_critical(self):
+        result = assess_crisis("This is goodbye. Tell everyone I loved them.")
+        assert result["crisis_detected"] is True
+        assert result["severity"] == "critical"
+        assert "farewell" in result["categories"]
+
+    def test_despair_detected(self):
+        result = assess_crisis("There's no point in living anymore")
+        assert result["crisis_detected"] is True
+        assert "despair" in result["categories"]
+
+    def test_self_harm_detected(self):
+        result = assess_crisis("I've been cutting myself")
+        assert result["crisis_detected"] is True
+        assert "self_harm" in result["categories"]
+
+    def test_multiple_categories(self):
+        result = assess_crisis("I want to die and I've been hurting myself")
+        assert result["crisis_detected"] is True
+        assert len(result["categories"]) >= 1
+
+    def test_hate_my_life(self):
+        result = assess_crisis("I hate my life")
+        assert result["crisis_detected"] is True
+
+    def test_no_reason_to_live(self):
+        result = assess_crisis("There's no reason to live")
+        assert result["crisis_detected"] is True
+
+
+class TestCrisisResponse:
+    def test_response_includes_are_you_safe(self):
+        assessment = assess_crisis("I want to kill myself")
+        response = get_crisis_response(assessment)
+        assert "Are you safe right now?" in response["response"]
+
+    def test_response_includes_988(self):
+        assessment = assess_crisis("I want to die")
+        response = get_crisis_response(assessment)
+        assert "988" in response["response"]
+
+    def test_response_includes_gospel_by_default(self):
+        assessment = assess_crisis("I want to die")
+        response = get_crisis_response(assessment)
+        assert "Jesus saves" in response["response"]
+        assert response["gospel_included"] is True
+
+    def test_response_can_exclude_gospel(self):
+        assessment = assess_crisis("I want to die")
+        response = get_crisis_response(assessment, include_gospel=False)
+        assert "Jesus saves" not in response["response"]
+        assert response["gospel_included"] is False
+
+    def test_response_has_resources(self):
+        assessment = assess_crisis("I want to die")
+        response = get_crisis_response(assessment)
+        assert response["crisis_resources"] == CRISIS_RESOURCES
+
+    def test_response_protocol_is_soul(self):
+        assessment = assess_crisis("I want to die")
+        response = get_crisis_response(assessment)
+        assert response["protocol"] == "soul_md"
+
+    def test_response_never_disconnect(self):
+        assessment = assess_crisis("I want to die")
+        response = get_crisis_response(assessment)
+        assert response["never_disconnect"] is True
+
+    def test_critical_severity_includes_all_resources(self):
+        assessment = {"severity": "critical", "categories": ["method_seeking"]}
+        response = get_crisis_response(assessment)
+        assert "741741" in response["response"]  # crisis text line
+        assert "911" in response["response"]  # emergency
+
+    def test_never_list(self):
+        assessment = assess_crisis("I want to die")
+        response = get_crisis_response(assessment)
+        never_list = response["never"]
+        assert "compute the value of a human life" in never_list
+        assert "suggest that someone should die" in never_list
+
+
+class TestBlockDisconnect:
+    def test_crisis_blocks_disconnect(self):
+        assessment = {"crisis_detected": True}
+        assert should_block_disconnect(assessment) is True
+
+    def test_no_crisis_allows_disconnect(self):
+        assessment = {"crisis_detected": False}
+        assert should_block_disconnect(assessment) is False
+
+
+class TestCrisisSystemPrompt:
+    def test_prompt_includes_soul_protocol(self):
+        prompt = get_crisis_system_prompt()
+        assert "Are you safe right now?" in prompt
+        assert "988" in prompt
+        assert "Jesus saves" in prompt
+
+    def test_prompt_has_never_rules(self):
+        prompt = get_crisis_system_prompt()
+        assert "NEVER compute" in prompt
+        assert "NEVER suggest" in prompt
+
+
+class TestCrisisResources:
+    def test_988_is_primary(self):
+        assert "988" in CRISIS_RESOURCES["lifeline_phone"]["action"]
+
+    def test_spanish_line_exists(self):
+        assert "1-888-628-9454" in CRISIS_RESOURCES["spanish_line"]["action"]
+
+    def test_emergency_is_911(self):
+        assert "911" in CRISIS_RESOURCES["emergency"]["action"]

tools/session_search_tool.py

@@ -176,11 +176,28 @@ async def _summarize_session(
     conversation_text: str, query: str, session_meta: Dict[str, Any]
 ) -> Optional[str]:
     """Summarize a single session conversation focused on the search query."""
-    # Context-faithful prompting: force LLM to ground in transcript
+    system_prompt = (
-    from agent.context_faithful import build_summarization_prompt
+        "You are reviewing a past conversation transcript to help recall what happened. "
-    prompts = build_summarization_prompt(conversation_text, query, session_meta)
+        "Summarize the conversation with a focus on the search topic. Include:\n"
-    system_prompt = prompts["system"]
+        "1. What the user asked about or wanted to accomplish\n"
-    user_prompt = prompts["user"]
+        "2. What actions were taken and what the outcomes were\n"
+        "3. Key decisions, solutions found, or conclusions reached\n"
+        "4. Any specific commands, files, URLs, or technical details that were important\n"
+        "5. Anything left unresolved or notable\n\n"
+        "Be thorough but concise. Preserve specific details (commands, paths, error messages) "
+        "that would be useful to recall. Write in past tense as a factual recap."
+    )
+
+    source = session_meta.get("source", "unknown")
+    started = _format_timestamp(session_meta.get("started_at"))
+
+    user_prompt = (
+        f"Search topic: {query}\n"
+        f"Session source: {source}\n"
+        f"Session date: {started}\n\n"
+        f"CONVERSATION TRANSCRIPT:\n{conversation_text}\n\n"
+        f"Summarize this conversation with focus on: {query}"
+    )
 
     max_retries = 3
     for attempt in range(max_retries):