diff --git a/PII_Discovery.ipynb b/PII_Discovery.ipynb
new file mode 100644
index 0000000..c2f4111
--- /dev/null
+++ b/PII_Discovery.ipynb
@@ -0,0 +1,1011 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a10c9a6a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "OK\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from langchain_openai import ChatOpenAI\n",
+    "from langchain_core.messages import HumanMessage\n",
+    "from sql_utils import *\n",
+    "from datetime import datetime, timezone\n",
+    "from pathlib import Path\n",
+    "\n",
+    "load_dotenv()  # This looks for the .env file and loads it into os.environ\n",
+    "\n",
+    "llm = ChatOpenAI(\n",
+    "    model=\"gpt-4o-mini\",  # recommended for tools + cost\n",
+    "    api_key=os.environ[\"API_KEY\"],\n",
+    "    temperature=0,\n",
+    "    seed=100,\n",
+    ")\n",
+    "\n",
+    "response = llm.invoke([\n",
+    "    HumanMessage(content=\"Reply with exactly: OK\")\n",
+    "])\n",
+    "\n",
+    "print(response.content)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "48eda3ec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Core Python\n",
+    "import sqlite3\n",
+    "import re\n",
+    "import json\n",
+    "from typing import TypedDict, Optional, List, Annotated\n",
+    "from langgraph.graph.message import add_messages\n",
+    "\n",
+    "# LangChain / LangGraph\n",
+    "from langchain_core.tools import tool\n",
+    "from langchain_core.messages import (\n",
+    "    HumanMessage,\n",
+    "    AIMessage,\n",
+    "    SystemMessage\n",
+    ")\n",
+    "from langchain.agents import create_agent\n",
+    "from langgraph.graph import StateGraph, END\n",
+    "from langgraph.graph.message import MessagesState\n",
+    "from sql_utils import *\n",
+    "\n",
+    "\n",
+    "@tool\n",
+    "def list_tables() -> str:\n",
+    "    \"\"\"\n",
+    "    List non-empty user tables in the SQLite database.\n",
+    "    \"\"\"\n",
+    "    IDENT_RE = re.compile(r\"^[A-Za-z_][A-Za-z0-9_]*$\")\n",
+    "    conn = sqlite3.connect(DB_PATH)\n",
+    "    try:\n",
+    "        cur = conn.cursor()\n",
+    "        cur.execute(\"\"\"\n",
+    "            SELECT name\n",
+    "            FROM sqlite_master\n",
+    "            WHERE type='table' AND name NOT LIKE 'sqlite_%'\n",
+    "            ORDER BY name\n",
+    "        \"\"\")\n",
+    "        tables = [r[0] for r in cur.fetchall()]\n",
+    "\n",
+    "        nonempty = []\n",
+    "        for t in tables:\n",
+    "            # If your DB has weird table names, remove this guard,\n",
+    "            # but keep the quoting below.\n",
+    "            if not IDENT_RE.match(t):\n",
+    "                continue\n",
+    "            try:\n",
+    "                cur.execute(f'SELECT 1 FROM \"{t}\" LIMIT 1;')\n",
+    "                if cur.fetchone() is not None:\n",
+    "                    nonempty.append(t)\n",
+    "            except sqlite3.Error:\n",
+    "                continue\n",
+    "\n",
+    "        return \", \".join(nonempty)\n",
+    "    finally:\n",
+    "        conn.close()\n",
+    "\n",
+    "\n",
+    "@tool\n",
+    "def get_schema(table: str) -> str:\n",
+    "    \"\"\"\n",
+    "\n",
+    "    Return column names and types for a table.\n",
+    "    \"\"\"\n",
+    "    conn = sqlite3.connect(DB_PATH)\n",
+    "    cur = conn.cursor()\n",
+    "    cur.execute(f\"PRAGMA table_info('{table}')\")\n",
+    "    cols = cur.fetchall()\n",
+    "    conn.close()\n",
+    "    return \", \".join(f\"{c[1]} {c[2]}\" for c in cols)\n",
+    "\n",
+    "\n",
+    "@tool\n",
+    "def exec_sql(\n",
+    "    query: str,\n",
+    "    db_path: str,\n",
+    "    top_n: int = 10,\n",
+    "    verbose: bool = True,\n",
+    ") -> dict:\n",
+    "    \"\"\"\n",
+    "    Execute a UNION ALL query by splitting into individual SELECT statements.\n",
+    "    Runs each SELECT with LIMIT top_n, skipping any SELECT that errors.\n",
+    "\n",
+    "    Returns:\n",
+    "        rows_all: list of rows (combined from all successful chunks)\n",
+    "        column_names: list of column names (deduped), prefixed as table.column when possible\n",
+    "    \"\"\"\n",
+    "    \n",
+    "    query_text = normalize_sql(query)\n",
+    "    selects = split_union_selects(query_text)\n",
+    "\n",
+    "    rows_all = []\n",
+    "    column_names = []\n",
+    "\n",
+    "    conn = sqlite3.connect(db_path)\n",
+    "    conn.create_function(\"REGEXP\", 2, regexp)\n",
+    "    cur = conn.cursor()\n",
+    "\n",
+    "    try:\n",
+    "        for i, select_sql in enumerate(selects, 1):\n",
+    "            select_sql_clean = select_sql.rstrip().rstrip(\";\")\n",
+    "            select_sql_run = f\"{select_sql_clean}\\nLIMIT {top_n};\"\n",
+    "\n",
+    "            if verbose:\n",
+    "                print(f\"[EXECUTE] chunk {i}/{len(selects)} LIMIT {top_n}\")\n",
+    "                # print(select_sql_run)  # uncomment to print full SQL\n",
+    "\n",
+    "            try:\n",
+    "                cur.execute(select_sql_run)\n",
+    "                chunk = cur.fetchall()\n",
+    "                rows_all.extend(chunk)\n",
+    "\n",
+    "                # collect columns only if chunk succeeded\n",
+    "                tbl = extract_single_table(select_sql_clean)\n",
+    "                for col in extract_select_columns(select_sql_clean):\n",
+    "                    name = f\"{tbl}.{col}\" if (tbl and \".\" not in col) else col\n",
+    "                    if name not in column_names:\n",
+    "                        column_names.append(name)\n",
+    "\n",
+    "            except Exception as e:\n",
+    "                if verbose:\n",
+    "                    print(f\"[SQL ERROR] Skipping chunk {i}: {e}\")\n",
+    "\n",
+    "    finally:\n",
+    "        conn.close()\n",
+    "\n",
+    "    return {\n",
+    "        \"rows\": rows_all,\n",
+    "        \"columns\": column_names\n",
+    "    }\n",
+    "\n",
+    "\n",
+    "from typing import Any, TypedDict\n",
+    "class EvidenceState(TypedDict):\n",
+    "    database_name: str\n",
+    "    messages: Annotated[list, add_messages]\n",
+    "    attempt: int\n",
+    "    max_attempts: int\n",
+    "    phase: str  # \"exploration\" | \"extraction\"\n",
+    "\n",
+    "    # SQL separation\n",
+    "    exploration_sql: Optional[str]\n",
+    "    extraction_sql: Optional[str]\n",
+    "\n",
+    "    rows: Optional[List]\n",
+    "    classification: Optional[dict]\n",
+    "    evidence: Optional[List[str]]\n",
+    "\n",
+    "    source_columns: Optional[List[str]]  \n",
+    "    entity_config: dict[str, Any]\n",
+    "\n",
+    "\n",
+    "def get_explore_system(type, regex):\n",
+    "    return SystemMessage(\n",
+    "        content=(\n",
+    "            \"You are a SQL planner. You are provided app databases that are extracted from Android or iPhone devices.\\n\"\n",
+    "            \"apps include Android Whatsapp, Snapchat, Telegram, Google Map, Samsung Internet, iPhone Contacts, Messages, Safari, and Calendar.\\n\"\n",
+    "            f\"Goal: discover if any column of databases contains possible {type}.\\n\\n\"\n",
+    "            \"Rules:\\n\"\n",
+    "            \"- Use 'REGEXP' for pattern matching.\\n\"\n",
+    "            f\"- Example: SELECT col FROM table WHERE col REGEXP '{regex}' \\n\"\n",
+    "            \"- Table and col names can be used as hints to find solutions. \\n\"\n",
+    "            \"- Include the tables and columns even there is a small possility of containing solutions.\\n\"\n",
+    "            \"- Pay attention to messages, chats, or other text fields.\\n\"\n",
+    "            \"- Validate your SQL and make sure all tables and columns do exist.\\n\"\n",
+    "            \"- If multiple SQL statements are provided, combine them using UNION ALL. \\n\"\n",
+    "            f\"- Example: SELECT col1 FROM table1 WHERE col1 REGEXP '{regex}' UNION ALL SELECT col2 FROM table2 WHERE col2 REGEXP '{regex}'\\n\"\n",
+    "            \"- Make sure all tables and columns do exist before return SQL. \\n\"\n",
+    "            \"- Return ONLY SQL.\"\n",
+    "        )\n",
+    "    )\n",
+    "\n",
+    "    \n",
+    "def upgrade_sql_remove_limit(sql: str) -> str:\n",
+    "    _LIMIT_RE = re.compile(r\"\\s+LIMIT\\s+\\d+\\s*;?\\s*$\", re.IGNORECASE)\n",
+    "    _LIMIT_ANYWHERE_RE = re.compile(r\"\\s+LIMIT\\s+\\d+\\s*(?=($|\\n|UNION|ORDER|GROUP|HAVING))\", re.IGNORECASE)  \n",
+    "    # Remove LIMIT clauses robustly (including UNION queries)\n",
+    "    upgraded = re.sub(r\"\\bLIMIT\\s+\\d+\\b\", \"\", sql, flags=re.IGNORECASE)\n",
+    "    # Clean up extra whitespace\n",
+    "    upgraded = re.sub(r\"\\s+\\n\", \"\\n\", upgraded)\n",
+    "    upgraded = re.sub(r\"\\n\\s+\\n\", \"\\n\", upgraded)\n",
+    "    upgraded = re.sub(r\"\\s{2,}\", \" \", upgraded).strip()\n",
+    "    return upgraded\n",
+    "\n",
+    "\n",
+    "\n",
+    "def planner(state: EvidenceState):\n",
+    "    # Extraction upgrade path\n",
+    "    if state[\"phase\"] == \"extraction\" and state.get(\"exploration_sql\"):\n",
+    "        extraction_sql = upgrade_sql_remove_limit(state[\"exploration_sql\"])\n",
+    "        return {\n",
+    "            \"messages\": [AIMessage(content=extraction_sql)],\n",
+    "            \"extraction_sql\": extraction_sql\n",
+    "        }\n",
+    "\n",
+    "    # Optional safety stop inside planner too\n",
+    "    if state.get(\"phase\") == \"exploration\" and state.get(\"attempt\", 0) >= state.get(\"max_attempts\", 0):\n",
+    "        return {\n",
+    "            \"phase\": \"done\",\n",
+    "            \"messages\": [AIMessage(content=\"STOP: max attempts reached in planner.\")]\n",
+    "        }\n",
+    "    # Original discovery logic\n",
+    "    tables = list_tables.invoke({})\n",
+    "    config = state[\"entity_config\"]\n",
+    "\n",
+    "    base_system = get_explore_system(\n",
+    "        f\"{config.get('type','')}:{config.get('desc','')}\".strip(),\n",
+    "        config[\"regex\"]\n",
+    "    )\n",
+    "\n",
+    "    grounded_content = (\n",
+    "        f\"{base_system.content}\\n\\n\"\n",
+    "        f\"EXISTING TABLES: {tables}\\n\"\n",
+    "        f\"CURRENT PHASE: {state['phase']}\\n\"\n",
+    "        \"CRITICAL: Do not query non-existent tables.\"\n",
+    "    )\n",
+    "\n",
+    "    agent = create_agent(llm, [list_tables,get_schema])\n",
+    "    \n",
+    "    result = agent.invoke({\n",
+    "        \"messages\": [\n",
+    "            SystemMessage(content=grounded_content),\n",
+    "            state[\"messages\"][0]  # original user request only\n",
+    "        ]\n",
+    "    })\n",
+    "\n",
+    "    exploration_sql  = normalize_sql(result[\"messages\"][-1].content)\n",
+    "\n",
+    "    attempt = state[\"attempt\"] + 1 if state[\"phase\"] == \"exploration\" else state[\"attempt\"]\n",
+    "\n",
+    "    return {\n",
+    "        \"messages\": [AIMessage(content=exploration_sql)],\n",
+    "        \"exploration_sql\": exploration_sql,\n",
+    "        \"attempt\": attempt\n",
+    "    }\n",
+    "\n",
+    "def sql_execute(state: EvidenceState):\n",
+    "    top_n=10\n",
+    "    # Choose SQL based on phase\n",
+    "    if state[\"phase\"] == \"extraction\":\n",
+    "        sql_to_run = state.get(\"extraction_sql\")\n",
+    "        top_n=10000\n",
+    "    else:  # \"exploration\"\n",
+    "        sql_to_run = state.get(\"exploration_sql\")\n",
+    "        top_n=10\n",
+    "\n",
+    "    if not sql_to_run:\n",
+    "        print(\"[SQL EXEC] No SQL provided for this phase\")\n",
+    "        return {\n",
+    "            \"rows\": [],\n",
+    "            \"messages\": [AIMessage(content=\"No SQL to execute\")]\n",
+    "        }\n",
+    "\n",
+    "    # Execute\n",
+    "    result = result = exec_sql.invoke({\n",
+    "    \"query\": sql_to_run,\n",
+    "    \"db_path\": state[\"database_name\"],\n",
+    "    \"top_n\": top_n,\n",
+    "    \"verbose\": False\n",
+    "})\n",
+    "\n",
+    "\n",
+    "    rows = result.get(\"rows\", [])\n",
+    "    cols = result.get(\"columns\", [])\n",
+    "\n",
+    "    print(f\"[SQL EXEC] Retrieved {len(rows)} rows\")\n",
+    "    \n",
+    "    # for i, r in enumerate(rows, 1):\n",
+    "    #     print(f\"  row[{i}]: {r}\")\n",
+    "\n",
+    "    updates = {\n",
+    "        \"rows\": rows,\n",
+    "        \"messages\": [AIMessage(content=f\"Retrieved {len(rows)} rows\")]\n",
+    "    }\n",
+    "\n",
+    "    # Track columns only during extraction (provenance)\n",
+    "    if state[\"phase\"] == \"extraction\":\n",
+    "        updates[\"source_columns\"] = cols\n",
+    "        print(f\"[TRACKING] Saved source columns: {cols}\")\n",
+    "\n",
+    "    return updates\n",
+    "\n",
+    "    \n",
+    "\n",
+    "def classify(state: EvidenceState):\n",
+    "    # 1. Prepare the text sample for the LLM\n",
+    "    text = rows_to_text(state[\"rows\"], limit=15)\n",
+    "    \n",
+    "    # 2. Get the pii-specific system message\n",
+    "    config= state[\"entity_config\"]\n",
+    "    pii_desc= f\"{config.get('type','')}:{config.get('desc','')}\".strip()\n",
+    "    system_message = SystemMessage(\n",
+    "        content=(\n",
+    "            f\"Decide whether the text contains {pii_desc}.\\n\"\n",
+    "            \"Return ONLY a JSON object with these keys:\\n\"\n",
+    "            \"{ \\\"found\\\": true/false, \\\"confidence\\\": number, \\\"reason\\\": \\\"string\\\" }\"\n",
+    "        )\n",
+    "    )\n",
+    "\n",
+    "    # 3. Invoke the LLM\n",
+    "    result = llm.invoke([\n",
+    "        system_message,\n",
+    "        HumanMessage(content=f\"Data to analyze:\\n{text}\")\n",
+    "    ]).content\n",
+    "    \n",
+    "# 4. Parse the decision\n",
+    "    decision = safe_json_loads(\n",
+    "        result,\n",
+    "        default={\"found\": False, \"confidence\": 0.0, \"reason\": \"parse failure\"}\n",
+    "    )\n",
+    "\n",
+    "    # print(\"[CLASSIFY]\", decision)\n",
+    "    return {\"classification\": decision}\n",
+    "\n",
+    "\n",
+    "def switch_to_extraction(state: EvidenceState):\n",
+    "    print(\"[PHASE] discovery → extraction\")\n",
+    "    return {\"phase\": \"extraction\"}\n",
+    "\n",
+    "\n",
+    "def extract(state: EvidenceState):\n",
+    "    text = rows_to_text(state[\"rows\"])\n",
+    "    # print(f\"Check last 100 characts : {text[:-100]}\")\n",
+    "    desc = state[\"entity_config\"].get(\"desc\", \"PII\")\n",
+    "    system = f\"Identify real {desc} from text and normalize them. Return ONLY a JSON array of strings.\\n\"\n",
+    "\n",
+    "    result = llm.invoke([SystemMessage(content=system), HumanMessage(content=text)]).content\n",
+    "    return {\"evidence\": safe_json_loads(result, default=[])}\n",
+    "\n",
+    "\n",
+    "def next_step(state: EvidenceState):\n",
+    "    # Once in extraction phase, extract and stop\n",
+    "    if state[\"phase\"] == \"extraction\":\n",
+    "        return \"do_extract\"\n",
+    "\n",
+    "    c = state[\"classification\"]\n",
+    "\n",
+    "    if c[\"found\"] and c[\"confidence\"] >= 0.6:\n",
+    "        return \"to_extraction\"\n",
+    "\n",
+    "    if not c[\"found\"] and c[\"confidence\"] >= 0.6:\n",
+    "        return \"stop_none\"\n",
+    "\n",
+    "    if state[\"attempt\"] >= state[\"max_attempts\"]:\n",
+    "        return \"stop_limit\"\n",
+    "\n",
+    "    return \"replan\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0f5259d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def observe(state: EvidenceState):\n",
+    "    \"\"\"\n",
+    "    Debug / inspection node.\n",
+    "    Does NOT modify state.\n",
+    "    \"\"\"\n",
+    "    print(\"\\n=== STATE SNAPSHOT ===\")\n",
+    "\n",
+    "    # Messages\n",
+    "    print(\"\\n--- MESSAGES ---\")\n",
+    "    for i, m in enumerate(state[\"messages\"]):\n",
+    "        print(f\"{i}: {m.type.upper()} -> {m.content}\")\n",
+    "\n",
+    "    # Metadata\n",
+    "    print(\"\\n--- BEGIN METADATA ---\")\n",
+    "    print(f\"attempt         : {state['attempt']}\")\n",
+    "    print(f\"max_attempts    : {state['max_attempts']}\")\n",
+    "    print(f\"phase           : {state['phase']}\")\n",
+    "    print(f\"PII type        : {state['entity_config'].get('type')}\")\n",
+    "\n",
+    "    # SQL separation\n",
+    "    print(f\"exploration_sql : {state.get('exploration_sql')}\")\n",
+    "    print(f\"extraction_sql  : {state.get('extraction_sql')}\")\n",
+    "\n",
+    "    # Outputs\n",
+    "    rows = state.get(\"rows\") or []\n",
+    "    print(f\"rows_count      : {len(rows)}\")\n",
+    "    print(f\"rows_sample     : {rows[:1000] if rows else []}\")  # small sample to avoid huge logs\n",
+    "\n",
+    "    print(f\"classification  : {state.get('classification')}\")\n",
+    "    print(f\"evidence_count  : {len(state.get('evidence') or [])}\")\n",
+    "    print(f\"evidence_sample : {(state.get('evidence') or [])[:10]}\")\n",
+    "\n",
+    "    print(f\"source_columns  : {state.get('source_columns')}\")\n",
+    "    print(\"\\n--- END METADATA ---\")\n",
+    "\n",
+    "    # IMPORTANT: do not return state, return no-op update\n",
+    "    return {}\n",
+    "\n",
+    "\n",
+    "\n",
+    "from langgraph.graph import StateGraph, END\n",
+    "\n",
+    "graph = StateGraph(EvidenceState)\n",
+    "\n",
+    "# Nodes\n",
+    "graph.add_node(\"planner\", planner)\n",
+    "graph.add_node(\"observe_plan\", observe)         # Checkpoint 1: The SQL Plan\n",
+    "graph.add_node(\"execute\", sql_execute)\n",
+    "graph.add_node(\"observe_execution\", observe)    # NEW Checkpoint: Post-execution\n",
+    "graph.add_node(\"classify\", classify)\n",
+    "graph.add_node(\"observe_classify\", observe)     # Checkpoint 2: Post-classify\n",
+    "graph.add_node(\"switch_phase\", switch_to_extraction)\n",
+    "graph.add_node(\"extract\", extract)\n",
+    "graph.add_node(\"observe_final\", observe)        # Checkpoint 3: Final results\n",
+    "\n",
+    "graph.set_entry_point(\"planner\")\n",
+    "\n",
+    "# --- FLOW ---\n",
+    "graph.add_edge(\"planner\", \"observe_plan\")\n",
+    "graph.add_edge(\"observe_plan\", \"execute\")\n",
+    "\n",
+    "# NEW: observe after execution, before classify\n",
+    "graph.add_edge(\"execute\", \"observe_execution\")\n",
+    "graph.add_edge(\"observe_execution\", \"classify\")\n",
+    "\n",
+    "graph.add_edge(\"classify\", \"observe_classify\")\n",
+    "\n",
+    "graph.add_conditional_edges(\n",
+    "    \"observe_classify\",\n",
+    "    next_step,\n",
+    "    {\n",
+    "        \"to_extraction\": \"switch_phase\",\n",
+    "        \"do_extract\": \"extract\",\n",
+    "        \"replan\": \"planner\",\n",
+    "        \"stop_none\": END,\n",
+    "        \"stop_limit\": END,\n",
+    "    }\n",
+    ")\n",
+    "\n",
+    "graph.add_edge(\"switch_phase\", \"planner\")\n",
+    "\n",
+    "graph.add_edge(\"extract\", \"observe_final\")\n",
+    "graph.add_edge(\"observe_final\", END)\n",
+    "\n",
+    "app = graph.compile()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "655e0915",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Will process 25 databases (from db_files list).\n",
+      "\n",
+      "Processing: selectedDBs\\A1_commerce.db\n",
+      "  Processing: EMAIL\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : email\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "[SQL EXEC] Retrieved 0 rows\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
+      "2: AI -> Retrieved 0 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : email\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
+      "2: AI -> Retrieved 0 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : email\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : {'found': False, 'confidence': 0, 'reason': 'No email addresses provided for analysis.'}\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "  Processing: PHONE\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find international or local telephone numbers in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : phone number\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "[SQL EXEC] Retrieved 0 rows\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find international or local telephone numbers in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
+      "2: AI -> Retrieved 0 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : phone number\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find international or local telephone numbers in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
+      "2: AI -> Retrieved 0 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : phone number\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : {'found': False, 'confidence': 0, 'reason': 'No phone number provided in the text.'}\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "  Processing: USERNAME\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : username\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "[SQL EXEC] Retrieved 1 rows\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
+      "2: AI -> Retrieved 1 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : username\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 1\n",
+      "rows_sample     : [('en_US',)]\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
+      "2: AI -> Retrieved 1 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : username\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 1\n",
+      "rows_sample     : [('en_US',)]\n",
+      "classification  : {'found': False, 'confidence': 0, 'reason': 'The text does not contain any usernames or application-specific login usernames.'}\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "  Processing: PERSON_NAME\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : person name\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "[SQL EXEC] Retrieved 1 rows\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
+      "2: AI -> Retrieved 1 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : person name\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 1\n",
+      "rows_sample     : [('en_US',)]\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
+      "1: AI -> SELECT locale FROM android_metadata WHERE locale REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
+      "2: AI -> Retrieved 1 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : person name\n",
+      "exploration_sql : SELECT locale FROM android_metadata WHERE locale REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 1\n",
+      "rows_sample     : [('en_US',)]\n",
+      "classification  : {'found': False, 'confidence': 0, 'reason': 'The text does not contain any person name-like strings.'}\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "\n",
+      "Processing: selectedDBs\\A1_msgstore.db\n",
+      "  Processing: EMAIL\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
+      "1: AI -> SELECT subject FROM chat WHERE subject REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT text_data FROM message WHERE text_data REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT description FROM message_text WHERE description REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT author_device_jid FROM message_details WHERE author_device_jid REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT action_type FROM message_system WHERE action_type REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}';\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : email\n",
+      "exploration_sql : SELECT subject FROM chat WHERE subject REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT text_data FROM message WHERE text_data REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT description FROM message_text WHERE description REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT author_device_jid FROM message_details WHERE author_device_jid REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT action_type FROM message_system WHERE action_type REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}';\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n",
+      "[SQL EXEC] Retrieved 0 rows\n",
+      "\n",
+      "=== STATE SNAPSHOT ===\n",
+      "\n",
+      "--- MESSAGES ---\n",
+      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
+      "1: AI -> SELECT subject FROM chat WHERE subject REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT text_data FROM message WHERE text_data REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT description FROM message_text WHERE description REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT author_device_jid FROM message_details WHERE author_device_jid REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT action_type FROM message_system WHERE action_type REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}';\n",
+      "2: AI -> Retrieved 0 rows\n",
+      "\n",
+      "--- BEGIN METADATA ---\n",
+      "attempt         : 2\n",
+      "max_attempts    : 2\n",
+      "phase           : exploration\n",
+      "PII type        : email\n",
+      "exploration_sql : SELECT subject FROM chat WHERE subject REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT text_data FROM message WHERE text_data REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT description FROM message_text WHERE description REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT author_device_jid FROM message_details WHERE author_device_jid REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}' UNION ALL \n",
+      "SELECT action_type FROM message_system WHERE action_type REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}';\n",
+      "extraction_sql  : None\n",
+      "rows_count      : 0\n",
+      "rows_sample     : []\n",
+      "classification  : None\n",
+      "evidence_count  : 0\n",
+      "evidence_sample : []\n",
+      "source_columns  : []\n",
+      "\n",
+      "--- END METADATA ---\n"
+     ]
+    }
+   ],
+   "source": [
+    "def run_batch(db_paths, pii_targets, pii_config, app):\n",
+    "    all_results = []\n",
+    "\n",
+    "    for p in db_paths:\n",
+    "        db_path = str(p)\n",
+    "\n",
+    "        # If your tools rely on global DB_PATH, keep this line.\n",
+    "        # If you refactor tools to use state[\"database_name\"], you can remove it.\n",
+    "        global DB_PATH\n",
+    "        DB_PATH = db_path\n",
+    "\n",
+    "        print(f\"\\nProcessing: {db_path}\")\n",
+    "\n",
+    "        for target in pii_targets:\n",
+    "            entity_config = pii_config[target]\n",
+    "            print(f\"  Processing: {target}\")\n",
+    "\n",
+    "            result = app.invoke({\n",
+    "                \"database_name\": db_path,\n",
+    "                \"messages\": [HumanMessage(content=f\"Find {entity_config['desc'].strip()} in the database\")],\n",
+    "                \"attempt\": 1,\n",
+    "                \"max_attempts\": 2,\n",
+    "                \"phase\": \"exploration\",\n",
+    "                \"entity_config\": entity_config,\n",
+    "                \"exploration_sql\": None,\n",
+    "                \"extraction_sql\": None,\n",
+    "                \"rows\": None,\n",
+    "                \"classification\": None,\n",
+    "                \"evidence\": [],\n",
+    "                \"source_columns\": []\n",
+    "            })\n",
+    "\n",
+    "            evidence = result.get(\"evidence\", [])\n",
+    "            source_columns = result.get(\"source_columns\", [])\n",
+    "            raw_rows = result.get(\"rows\", [])\n",
+    "\n",
+    "            all_results.append({\n",
+    "                \"db_path\": db_path,\n",
+    "                \"PII_type\": target,\n",
+    "                \"PII\": evidence,\n",
+    "                \"Num_of_PII\": len(evidence),\n",
+    "                \"source_columns\": source_columns,\n",
+    "                \"Raw_rows_first_100\": raw_rows[:100],\n",
+    "                \"Total_raw_rows\": len(raw_rows),\n",
+    "                \"Exploration_sql\": result.get(\"exploration_sql\", \"\"),\n",
+    "                \"Extraction_sql\": result.get(\"extraction_sql\", \"\")\n",
+    "            })\n",
+    "\n",
+    "    return all_results\n",
+    "\n",
+    "\n",
+    "def run_batch(db_paths, pii_targets, pii_config, app, out_dir: Path):\n",
+    "    \"\"\"\n",
+    "    Process databases one-by-one and write one output file per database.\n",
+    "    \"\"\"\n",
+    "    for p in db_paths:\n",
+    "        db_path = str(p)\n",
+    "\n",
+    "        # If your tools rely on global DB_PATH, keep this line.\n",
+    "        global DB_PATH\n",
+    "        DB_PATH = db_path\n",
+    "\n",
+    "        print(f\"\\nProcessing DB: {db_path}\")\n",
+    "\n",
+    "        db_results = []  # reset per-database\n",
+    "\n",
+    "        for target in pii_targets:\n",
+    "            entity_config = pii_config[target]\n",
+    "            print(f\"  Processing: {target}\")\n",
+    "\n",
+    "            result = app.invoke({\n",
+    "                \"database_name\": db_path,\n",
+    "                \"messages\": [HumanMessage(content=f\"Find {entity_config['desc'].strip()} in the database\")],\n",
+    "                \"attempt\": 1,\n",
+    "                \"max_attempts\": 2,\n",
+    "                \"phase\": \"exploration\",\n",
+    "                \"entity_config\": entity_config,\n",
+    "                \"exploration_sql\": None,\n",
+    "                \"extraction_sql\": None,\n",
+    "                \"rows\": None,\n",
+    "                \"classification\": None,\n",
+    "                \"evidence\": [],\n",
+    "                \"source_columns\": []\n",
+    "            })\n",
+    "\n",
+    "            evidence = result.get(\"evidence\", [])\n",
+    "            source_columns = result.get(\"source_columns\", [])\n",
+    "            raw_rows = result.get(\"rows\", [])\n",
+    "\n",
+    "            db_results.append({\n",
+    "                \"db_path\": db_path,\n",
+    "                \"PII_type\": target,\n",
+    "                \"PII\": evidence,\n",
+    "                \"Num_of_PII\": len(evidence),\n",
+    "                \"source_columns\": source_columns,\n",
+    "                \"Raw_rows_first_100\": raw_rows[:100],\n",
+    "                \"Total_raw_rows\": len(raw_rows),\n",
+    "                \"Exploration_sql\": result.get(\"exploration_sql\", \"\"),\n",
+    "                \"Extraction_sql\": result.get(\"extraction_sql\", \"\")\n",
+    "            })\n",
+    "\n",
+    "        # Save per-database output (includes db name + timestamp)\n",
+    "        save_jsonl(db_results, out_dir, db_path)\n",
+    "\n",
+    "\n",
+    "def main():\n",
+    "    cfg = load_config_yaml(Path(\"config.yaml\"))\n",
+    "\n",
+    "    DB_DIR = Path(cfg.get(\"db_dir\", \"selectedDBs\"))\n",
+    "    OUT_DIR = Path(cfg.get(\"out_dir\", \"batch_results\"))\n",
+    "    OUT_DIR.mkdir(exist_ok=True)\n",
+    "\n",
+    "    CONFIG_PY = Path(cfg.get(\"config_py\", \"my_run_config.py\"))\n",
+    "    vars_ = load_vars_from_py(CONFIG_PY, \"db_files\", \"PII_CONFIG\")\n",
+    "    db_files = vars_[\"db_files\"]\n",
+    "    PII_CONFIG = vars_[\"PII_CONFIG\"]\n",
+    "\n",
+    "    PII_TARGETS = cfg.get(\"pii_targets\", list(PII_CONFIG.keys()))\n",
+    "\n",
+    "    db_paths, missing, not_sqlite = build_db_paths(DB_DIR, db_files, is_sqlite_file)\n",
+    "    print_db_path_report(db_paths, missing, not_sqlite)\n",
+    "\n",
+    "    # Now run and save one file per DB (no global aggregation)\n",
+    "    run_batch(db_paths, PII_TARGETS, PII_CONFIG, app, OUT_DIR)\n",
+    "\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    main()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fc0b51cd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/agent_PII_Discovery.ipynb b/agent_PII_Discovery.ipynb
deleted file mode 100644
index b7f2be1..0000000
--- a/agent_PII_Discovery.ipynb
+++ /dev/null
@@ -1,1881 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "a10c9a6a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "OK\n"
-     ]
-    }
-   ],
-   "source": [
-    "import os\n",
-    "from dotenv import load_dotenv\n",
-    "from langchain_openai import ChatOpenAI\n",
-    "from langchain_core.messages import HumanMessage\n",
-    "from sql_utils import *\n",
-    "from datetime import datetime, timezone\n",
-    "from pathlib import Path\n",
-    "\n",
-    "load_dotenv()  # This looks for the .env file and loads it into os.environ\n",
-    "\n",
-    "llm = ChatOpenAI(\n",
-    "    model=\"gpt-4o-mini\",  # recommended for tools + cost\n",
-    "    api_key=os.environ[\"API_KEY\"],\n",
-    "    temperature=0,\n",
-    "    seed=100,\n",
-    ")\n",
-    "\n",
-    "response = llm.invoke([\n",
-    "    HumanMessage(content=\"Reply with exactly: OK\")\n",
-    "])\n",
-    "\n",
-    "print(response.content)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "48eda3ec",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Core Python\n",
-    "import sqlite3\n",
-    "import re\n",
-    "import json\n",
-    "from typing import TypedDict, Optional, List, Annotated\n",
-    "from langgraph.graph.message import add_messages\n",
-    "\n",
-    "# LangChain / LangGraph\n",
-    "from langchain_core.tools import tool\n",
-    "from langchain_core.messages import (\n",
-    "    HumanMessage,\n",
-    "    AIMessage,\n",
-    "    SystemMessage\n",
-    ")\n",
-    "from langchain.agents import create_agent\n",
-    "from langgraph.graph import StateGraph, END\n",
-    "from langgraph.graph.message import MessagesState\n",
-    "from sql_utils import *\n",
-    "\n",
-    "\n",
-    "@tool\n",
-    "def list_tables() -> str:\n",
-    "    \"\"\"\n",
-    "    List non-empty user tables in the SQLite database.\n",
-    "    \"\"\"\n",
-    "    IDENT_RE = re.compile(r\"^[A-Za-z_][A-Za-z0-9_]*$\")\n",
-    "    conn = sqlite3.connect(DB_PATH)\n",
-    "    try:\n",
-    "        cur = conn.cursor()\n",
-    "        cur.execute(\"\"\"\n",
-    "            SELECT name\n",
-    "            FROM sqlite_master\n",
-    "            WHERE type='table' AND name NOT LIKE 'sqlite_%'\n",
-    "            ORDER BY name\n",
-    "        \"\"\")\n",
-    "        tables = [r[0] for r in cur.fetchall()]\n",
-    "\n",
-    "        nonempty = []\n",
-    "        for t in tables:\n",
-    "            # If your DB has weird table names, remove this guard,\n",
-    "            # but keep the quoting below.\n",
-    "            if not IDENT_RE.match(t):\n",
-    "                continue\n",
-    "            try:\n",
-    "                cur.execute(f'SELECT 1 FROM \"{t}\" LIMIT 1;')\n",
-    "                if cur.fetchone() is not None:\n",
-    "                    nonempty.append(t)\n",
-    "            except sqlite3.Error:\n",
-    "                continue\n",
-    "\n",
-    "        return \", \".join(nonempty)\n",
-    "    finally:\n",
-    "        conn.close()\n",
-    "\n",
-    "\n",
-    "@tool\n",
-    "def get_schema(table: str) -> str:\n",
-    "    \"\"\"\n",
-    "\n",
-    "    Return column names and types for a table.\n",
-    "    \"\"\"\n",
-    "    conn = sqlite3.connect(DB_PATH)\n",
-    "    cur = conn.cursor()\n",
-    "    cur.execute(f\"PRAGMA table_info('{table}')\")\n",
-    "    cols = cur.fetchall()\n",
-    "    conn.close()\n",
-    "    return \", \".join(f\"{c[1]} {c[2]}\" for c in cols)\n",
-    "\n",
-    "\n",
-    "@tool\n",
-    "def exec_sql(\n",
-    "    query: str,\n",
-    "    db_path: str,\n",
-    "    top_n: int = 10,\n",
-    "    verbose: bool = True,\n",
-    ") -> dict:\n",
-    "    \"\"\"\n",
-    "    Execute a UNION ALL query by splitting into individual SELECT statements.\n",
-    "    Runs each SELECT with LIMIT top_n, skipping any SELECT that errors.\n",
-    "\n",
-    "    Returns:\n",
-    "        rows_all: list of rows (combined from all successful chunks)\n",
-    "        column_names: list of column names (deduped), prefixed as table.column when possible\n",
-    "    \"\"\"\n",
-    "    \n",
-    "    query_text = normalize_sql(query)\n",
-    "    selects = split_union_selects(query_text)\n",
-    "\n",
-    "    rows_all = []\n",
-    "    column_names = []\n",
-    "\n",
-    "    conn = sqlite3.connect(db_path)\n",
-    "    conn.create_function(\"REGEXP\", 2, regexp)\n",
-    "    cur = conn.cursor()\n",
-    "\n",
-    "    try:\n",
-    "        for i, select_sql in enumerate(selects, 1):\n",
-    "            select_sql_clean = select_sql.rstrip().rstrip(\";\")\n",
-    "            select_sql_run = f\"{select_sql_clean}\\nLIMIT {top_n};\"\n",
-    "\n",
-    "            if verbose:\n",
-    "                print(f\"[EXECUTE] chunk {i}/{len(selects)} LIMIT {top_n}\")\n",
-    "                # print(select_sql_run)  # uncomment to print full SQL\n",
-    "\n",
-    "            try:\n",
-    "                cur.execute(select_sql_run)\n",
-    "                chunk = cur.fetchall()\n",
-    "                rows_all.extend(chunk)\n",
-    "\n",
-    "                # collect columns only if chunk succeeded\n",
-    "                tbl = extract_single_table(select_sql_clean)\n",
-    "                for col in extract_select_columns(select_sql_clean):\n",
-    "                    name = f\"{tbl}.{col}\" if (tbl and \".\" not in col) else col\n",
-    "                    if name not in column_names:\n",
-    "                        column_names.append(name)\n",
-    "\n",
-    "            except Exception as e:\n",
-    "                if verbose:\n",
-    "                    print(f\"[SQL ERROR] Skipping chunk {i}: {e}\")\n",
-    "\n",
-    "    finally:\n",
-    "        conn.close()\n",
-    "\n",
-    "    return {\n",
-    "        \"rows\": rows_all,\n",
-    "        \"columns\": column_names\n",
-    "    }\n",
-    "\n",
-    "\n",
-    "from typing import Any, TypedDict\n",
-    "class EvidenceState(TypedDict):\n",
-    "    database_name: str\n",
-    "    messages: Annotated[list, add_messages]\n",
-    "    attempt: int\n",
-    "    max_attempts: int\n",
-    "    phase: str  # \"exploration\" | \"extraction\"\n",
-    "\n",
-    "    # SQL separation\n",
-    "    exploration_sql: Optional[str]\n",
-    "    extraction_sql: Optional[str]\n",
-    "\n",
-    "    rows: Optional[List]\n",
-    "    classification: Optional[dict]\n",
-    "    evidence: Optional[List[str]]\n",
-    "\n",
-    "    source_columns: Optional[List[str]]  \n",
-    "    entity_config: dict[str, Any]\n",
-    "\n",
-    "\n",
-    "def get_explore_system(type, regex):\n",
-    "    return SystemMessage(\n",
-    "        content=(\n",
-    "            \"You are a SQL planner. You are provided app databases that are extracted from Android or iPhone devices.\\n\"\n",
-    "            \"apps include Android Whatsapp, Snapchat, Telegram, Google Map, Samsung Internet, iPhone Contacts, Messages, Safari, and Calendar.\\n\"\n",
-    "            f\"Goal: discover if any column of databases contains possible {type}.\\n\\n\"\n",
-    "            \"Rules:\\n\"\n",
-    "            \"- Use 'REGEXP' for pattern matching.\\n\"\n",
-    "            f\"- Example: SELECT col FROM table WHERE col REGEXP '{regex}' \\n\"\n",
-    "            \"- Table and col names can be used as hints to find solutions. \\n\"\n",
-    "            \"- Include the tables and columns even there is a small possility of containing solutions.\\n\"\n",
-    "            \"- Pay attention to messages, chats, or other text fields.\\n\"\n",
-    "            \"- Validate your SQL and make sure all tables and columns do exist.\\n\"\n",
-    "            \"- If multiple SQL statements are provided, combine them using UNION ALL. \\n\"\n",
-    "            f\"- Example: SELECT col1 FROM table1 WHERE col1 REGEXP '{regex}' UNION ALL SELECT col2 FROM table2 WHERE col2 REGEXP '{regex}'\\n\"\n",
-    "            \"- Make sure all tables and columns do exist before return SQL. \\n\"\n",
-    "            \"- Return ONLY SQL.\"\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "    \n",
-    "def upgrade_sql_remove_limit(sql: str) -> str:\n",
-    "    _LIMIT_RE = re.compile(r\"\\s+LIMIT\\s+\\d+\\s*;?\\s*$\", re.IGNORECASE)\n",
-    "    _LIMIT_ANYWHERE_RE = re.compile(r\"\\s+LIMIT\\s+\\d+\\s*(?=($|\\n|UNION|ORDER|GROUP|HAVING))\", re.IGNORECASE)  \n",
-    "    # Remove LIMIT clauses robustly (including UNION queries)\n",
-    "    upgraded = re.sub(r\"\\bLIMIT\\s+\\d+\\b\", \"\", sql, flags=re.IGNORECASE)\n",
-    "    # Clean up extra whitespace\n",
-    "    upgraded = re.sub(r\"\\s+\\n\", \"\\n\", upgraded)\n",
-    "    upgraded = re.sub(r\"\\n\\s+\\n\", \"\\n\", upgraded)\n",
-    "    upgraded = re.sub(r\"\\s{2,}\", \" \", upgraded).strip()\n",
-    "    return upgraded\n",
-    "\n",
-    "\n",
-    "\n",
-    "def planner(state: EvidenceState):\n",
-    "    # Extraction upgrade path\n",
-    "    if state[\"phase\"] == \"extraction\" and state.get(\"exploration_sql\"):\n",
-    "        extraction_sql = upgrade_sql_remove_limit(state[\"exploration_sql\"])\n",
-    "        return {\n",
-    "            \"messages\": [AIMessage(content=extraction_sql)],\n",
-    "            \"extraction_sql\": extraction_sql\n",
-    "        }\n",
-    "\n",
-    "    # Optional safety stop inside planner too\n",
-    "    if state.get(\"phase\") == \"exploration\" and state.get(\"attempt\", 0) >= state.get(\"max_attempts\", 0):\n",
-    "        return {\n",
-    "            \"phase\": \"done\",\n",
-    "            \"messages\": [AIMessage(content=\"STOP: max attempts reached in planner.\")]\n",
-    "        }\n",
-    "    # Original discovery logic\n",
-    "    tables = list_tables.invoke({})\n",
-    "    config = state[\"entity_config\"]\n",
-    "\n",
-    "    base_system = get_explore_system(\n",
-    "        f\"{config.get('type','')}:{config.get('desc','')}\".strip(),\n",
-    "        config[\"regex\"]\n",
-    "    )\n",
-    "\n",
-    "    grounded_content = (\n",
-    "        f\"{base_system.content}\\n\\n\"\n",
-    "        f\"EXISTING TABLES: {tables}\\n\"\n",
-    "        f\"CURRENT PHASE: {state['phase']}\\n\"\n",
-    "        \"CRITICAL: Do not query non-existent tables.\"\n",
-    "    )\n",
-    "\n",
-    "    agent = create_agent(llm, [list_tables,get_schema])\n",
-    "    \n",
-    "    result = agent.invoke({\n",
-    "        \"messages\": [\n",
-    "            SystemMessage(content=grounded_content),\n",
-    "            state[\"messages\"][0]  # original user request only\n",
-    "        ]\n",
-    "    })\n",
-    "\n",
-    "    exploration_sql  = normalize_sql(result[\"messages\"][-1].content)\n",
-    "\n",
-    "    attempt = state[\"attempt\"] + 1 if state[\"phase\"] == \"exploration\" else state[\"attempt\"]\n",
-    "\n",
-    "    return {\n",
-    "        \"messages\": [AIMessage(content=exploration_sql)],\n",
-    "        \"exploration_sql\": exploration_sql,\n",
-    "        \"attempt\": attempt\n",
-    "    }\n",
-    "\n",
-    "def sql_execute(state: EvidenceState):\n",
-    "    top_n=10\n",
-    "    # Choose SQL based on phase\n",
-    "    if state[\"phase\"] == \"extraction\":\n",
-    "        sql_to_run = state.get(\"extraction_sql\")\n",
-    "        top_n=10000\n",
-    "    else:  # \"exploration\"\n",
-    "        sql_to_run = state.get(\"exploration_sql\")\n",
-    "        top_n=10\n",
-    "\n",
-    "    if not sql_to_run:\n",
-    "        print(\"[SQL EXEC] No SQL provided for this phase\")\n",
-    "        return {\n",
-    "            \"rows\": [],\n",
-    "            \"messages\": [AIMessage(content=\"No SQL to execute\")]\n",
-    "        }\n",
-    "\n",
-    "    # Execute\n",
-    "    result = result = exec_sql.invoke({\n",
-    "    \"query\": sql_to_run,\n",
-    "    \"db_path\": state[\"database_name\"],\n",
-    "    \"top_n\": top_n,\n",
-    "    \"verbose\": False\n",
-    "})\n",
-    "\n",
-    "\n",
-    "    rows = result.get(\"rows\", [])\n",
-    "    cols = result.get(\"columns\", [])\n",
-    "\n",
-    "    print(f\"[SQL EXEC] Retrieved {len(rows)} rows\")\n",
-    "    \n",
-    "    # for i, r in enumerate(rows, 1):\n",
-    "    #     print(f\"  row[{i}]: {r}\")\n",
-    "\n",
-    "    updates = {\n",
-    "        \"rows\": rows,\n",
-    "        \"messages\": [AIMessage(content=f\"Retrieved {len(rows)} rows\")]\n",
-    "    }\n",
-    "\n",
-    "    # Track columns only during extraction (provenance)\n",
-    "    if state[\"phase\"] == \"extraction\":\n",
-    "        updates[\"source_columns\"] = cols\n",
-    "        print(f\"[TRACKING] Saved source columns: {cols}\")\n",
-    "\n",
-    "    return updates\n",
-    "\n",
-    "    \n",
-    "\n",
-    "def classify(state: EvidenceState):\n",
-    "    # 1. Prepare the text sample for the LLM\n",
-    "    text = rows_to_text(state[\"rows\"], limit=15)\n",
-    "    \n",
-    "    # 2. Get the pii-specific system message\n",
-    "    config= state[\"entity_config\"]\n",
-    "    pii_desc= f\"{config.get('type','')}:{config.get('desc','')}\".strip()\n",
-    "    system_message = SystemMessage(\n",
-    "        content=(\n",
-    "            f\"Decide whether the text contains {pii_desc}.\\n\"\n",
-    "            \"Return ONLY a JSON object with these keys:\\n\"\n",
-    "            \"{ \\\"found\\\": true/false, \\\"confidence\\\": number, \\\"reason\\\": \\\"string\\\" }\"\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "    # 3. Invoke the LLM\n",
-    "    result = llm.invoke([\n",
-    "        system_message,\n",
-    "        HumanMessage(content=f\"Data to analyze:\\n{text}\")\n",
-    "    ]).content\n",
-    "    \n",
-    "# 4. Parse the decision\n",
-    "    decision = safe_json_loads(\n",
-    "        result,\n",
-    "        default={\"found\": False, \"confidence\": 0.0, \"reason\": \"parse failure\"}\n",
-    "    )\n",
-    "\n",
-    "    # print(\"[CLASSIFY]\", decision)\n",
-    "    return {\"classification\": decision}\n",
-    "\n",
-    "\n",
-    "def switch_to_extraction(state: EvidenceState):\n",
-    "    print(\"[PHASE] discovery → extraction\")\n",
-    "    return {\"phase\": \"extraction\"}\n",
-    "\n",
-    "\n",
-    "def extract(state: EvidenceState):\n",
-    "    text = rows_to_text(state[\"rows\"])\n",
-    "    # print(f\"Check last 100 characts : {text[:-100]}\")\n",
-    "    desc = state[\"entity_config\"].get(\"desc\", \"PII\")\n",
-    "    system = f\"Identify real {desc} from text and normalize them. Return ONLY a JSON array of strings.\\n\"\n",
-    "\n",
-    "    result = llm.invoke([SystemMessage(content=system), HumanMessage(content=text)]).content\n",
-    "    return {\"evidence\": safe_json_loads(result, default=[])}\n",
-    "\n",
-    "\n",
-    "def next_step(state: EvidenceState):\n",
-    "    # Once in extraction phase, extract and stop\n",
-    "    if state[\"phase\"] == \"extraction\":\n",
-    "        return \"do_extract\"\n",
-    "\n",
-    "    c = state[\"classification\"]\n",
-    "\n",
-    "    if c[\"found\"] and c[\"confidence\"] >= 0.6:\n",
-    "        return \"to_extraction\"\n",
-    "\n",
-    "    if not c[\"found\"] and c[\"confidence\"] >= 0.6:\n",
-    "        return \"stop_none\"\n",
-    "\n",
-    "    if state[\"attempt\"] >= state[\"max_attempts\"]:\n",
-    "        return \"stop_limit\"\n",
-    "\n",
-    "    return \"replan\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "0f5259d7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def observe(state: EvidenceState):\n",
-    "    \"\"\"\n",
-    "    Debug / inspection node.\n",
-    "    Does NOT modify state.\n",
-    "    \"\"\"\n",
-    "    print(\"\\n=== STATE SNAPSHOT ===\")\n",
-    "\n",
-    "    # Messages\n",
-    "    print(\"\\n--- MESSAGES ---\")\n",
-    "    for i, m in enumerate(state[\"messages\"]):\n",
-    "        print(f\"{i}: {m.type.upper()} -> {m.content}\")\n",
-    "\n",
-    "    # Metadata\n",
-    "    print(\"\\n--- BEGIN METADATA ---\")\n",
-    "    print(f\"attempt         : {state['attempt']}\")\n",
-    "    print(f\"max_attempts    : {state['max_attempts']}\")\n",
-    "    print(f\"phase           : {state['phase']}\")\n",
-    "    print(f\"PII type        : {state['entity_config'].get('type')}\")\n",
-    "\n",
-    "    # SQL separation\n",
-    "    print(f\"exploration_sql : {state.get('exploration_sql')}\")\n",
-    "    print(f\"extraction_sql  : {state.get('extraction_sql')}\")\n",
-    "\n",
-    "    # Outputs\n",
-    "    rows = state.get(\"rows\") or []\n",
-    "    print(f\"rows_count      : {len(rows)}\")\n",
-    "    print(f\"rows_sample     : {rows[:1000] if rows else []}\")  # small sample to avoid huge logs\n",
-    "\n",
-    "    print(f\"classification  : {state.get('classification')}\")\n",
-    "    print(f\"evidence_count  : {len(state.get('evidence') or [])}\")\n",
-    "    print(f\"evidence_sample : {(state.get('evidence') or [])[:10]}\")\n",
-    "\n",
-    "    print(f\"source_columns  : {state.get('source_columns')}\")\n",
-    "    print(\"\\n--- END METADATA ---\")\n",
-    "\n",
-    "    # IMPORTANT: do not return state, return no-op update\n",
-    "    return {}\n",
-    "\n",
-    "\n",
-    "\n",
-    "from langgraph.graph import StateGraph, END\n",
-    "\n",
-    "graph = StateGraph(EvidenceState)\n",
-    "\n",
-    "# Nodes\n",
-    "graph.add_node(\"planner\", planner)\n",
-    "graph.add_node(\"observe_plan\", observe)         # Checkpoint 1: The SQL Plan\n",
-    "graph.add_node(\"execute\", sql_execute)\n",
-    "graph.add_node(\"observe_execution\", observe)    # NEW Checkpoint: Post-execution\n",
-    "graph.add_node(\"classify\", classify)\n",
-    "graph.add_node(\"observe_classify\", observe)     # Checkpoint 2: Post-classify\n",
-    "graph.add_node(\"switch_phase\", switch_to_extraction)\n",
-    "graph.add_node(\"extract\", extract)\n",
-    "graph.add_node(\"observe_final\", observe)        # Checkpoint 3: Final results\n",
-    "\n",
-    "graph.set_entry_point(\"planner\")\n",
-    "\n",
-    "# --- FLOW ---\n",
-    "graph.add_edge(\"planner\", \"observe_plan\")\n",
-    "graph.add_edge(\"observe_plan\", \"execute\")\n",
-    "\n",
-    "# NEW: observe after execution, before classify\n",
-    "graph.add_edge(\"execute\", \"observe_execution\")\n",
-    "graph.add_edge(\"observe_execution\", \"classify\")\n",
-    "\n",
-    "graph.add_edge(\"classify\", \"observe_classify\")\n",
-    "\n",
-    "graph.add_conditional_edges(\n",
-    "    \"observe_classify\",\n",
-    "    next_step,\n",
-    "    {\n",
-    "        \"to_extraction\": \"switch_phase\",\n",
-    "        \"do_extract\": \"extract\",\n",
-    "        \"replan\": \"planner\",\n",
-    "        \"stop_none\": END,\n",
-    "        \"stop_limit\": END,\n",
-    "    }\n",
-    ")\n",
-    "\n",
-    "graph.add_edge(\"switch_phase\", \"planner\")\n",
-    "\n",
-    "graph.add_edge(\"extract\", \"observe_final\")\n",
-    "graph.add_edge(\"observe_final\", END)\n",
-    "\n",
-    "app = graph.compile()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "655e0915",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Will process 1 databases (from db_files list).\n",
-      "\n",
-      "Processing: selectedDBs\\test2.db\n",
-      "  Processing: EMAIL\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
-      "1: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : email\n",
-      "exploration_sql : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 0\n",
-      "rows_sample     : []\n",
-      "classification  : None\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[SQL EXEC] Retrieved 10 rows\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
-      "1: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : email\n",
-      "exploration_sql : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : None\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
-      "1: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : email\n",
-      "exploration_sql : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 1.0, 'reason': 'The text contains multiple valid email addresses.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[PHASE] discovery → extraction\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
-      "1: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "3: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : email\n",
-      "exploration_sql : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "extraction_sql  : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 1.0, 'reason': 'The text contains multiple valid email addresses.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[SQL EXEC] Retrieved 10 rows\n",
-      "[TRACKING] Saved source columns: ['users.email', 'users.username', 'users.first_name', 'users.last_name', 'users.phone', 'users.street', 'users.city', 'users.state', 'users.zip_code', 'users.created_at']\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
-      "1: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "3: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "4: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : email\n",
-      "exploration_sql : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "extraction_sql  : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 1.0, 'reason': 'The text contains multiple valid email addresses.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : ['users.email', 'users.username', 'users.first_name', 'users.last_name', 'users.phone', 'users.street', 'users.city', 'users.state', 'users.zip_code', 'users.created_at']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
-      "1: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "3: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "4: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : email\n",
-      "exploration_sql : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "extraction_sql  : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 1.0, 'reason': 'All entries are valid email addresses.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : ['users.email', 'users.username', 'users.first_name', 'users.last_name', 'users.phone', 'users.street', 'users.city', 'users.state', 'users.zip_code', 'users.created_at']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find valid email addresses. For example: username@domain.tld in the database\n",
-      "1: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "3: AI -> SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "4: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : email\n",
-      "exploration_sql : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL \n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "extraction_sql  : SELECT email FROM users WHERE email REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT first_name FROM users WHERE first_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT street FROM users WHERE street REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT city FROM users WHERE city REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT state FROM users WHERE state REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT zip_code FROM users WHERE zip_code REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "UNION ALL\n",
-      "SELECT created_at FROM users WHERE created_at REGEXP '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}'\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 1.0, 'reason': 'All entries are valid email addresses.'}\n",
-      "evidence_count  : 10\n",
-      "evidence_sample : ['alice.johnson@example.com', 'brian.smith@example.com', 'carol.davis@example.com', 'david.miller@example.com', 'emma.wilson@example.com', 'frank.brown@example.com', 'grace.taylor@example.com', 'henry.anderson@example.com', 'irene.thomas@example.com', 'jack.moore@example.com']\n",
-      "source_columns  : ['users.email', 'users.username', 'users.first_name', 'users.last_name', 'users.phone', 'users.street', 'users.city', 'users.state', 'users.zip_code', 'users.created_at']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "  Processing: PHONE\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find international or local telephone numbers in the database\n",
-      "1: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : phone number\n",
-      "exploration_sql : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 0\n",
-      "rows_sample     : []\n",
-      "classification  : None\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[SQL EXEC] Retrieved 10 rows\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find international or local telephone numbers in the database\n",
-      "1: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : phone number\n",
-      "exploration_sql : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('410-555-1001',), ('301-555-1002',), ('202-555-1003',), ('703-555-1004',), ('240-555-1005',), ('571-555-1006',), ('410-555-1007',), ('301-555-1008',), ('202-555-1009',), ('703-555-1010',)]\n",
-      "classification  : None\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find international or local telephone numbers in the database\n",
-      "1: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : phone number\n",
-      "exploration_sql : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('410-555-1001',), ('301-555-1002',), ('202-555-1003',), ('703-555-1004',), ('240-555-1005',), ('571-555-1006',), ('410-555-1007',), ('301-555-1008',), ('202-555-1009',), ('703-555-1010',)]\n",
-      "classification  : {'found': True, 'confidence': 0.95, 'reason': 'The text contains multiple local telephone numbers formatted in a standard North American format.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[PHASE] discovery → extraction\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find international or local telephone numbers in the database\n",
-      "1: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "3: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : phone number\n",
-      "exploration_sql : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "extraction_sql  : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('410-555-1001',), ('301-555-1002',), ('202-555-1003',), ('703-555-1004',), ('240-555-1005',), ('571-555-1006',), ('410-555-1007',), ('301-555-1008',), ('202-555-1009',), ('703-555-1010',)]\n",
-      "classification  : {'found': True, 'confidence': 0.95, 'reason': 'The text contains multiple local telephone numbers formatted in a standard North American format.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[SQL EXEC] Retrieved 10 rows\n",
-      "[TRACKING] Saved source columns: ['users.phone']\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find international or local telephone numbers in the database\n",
-      "1: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "3: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "4: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : phone number\n",
-      "exploration_sql : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "extraction_sql  : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('410-555-1001',), ('301-555-1002',), ('202-555-1003',), ('703-555-1004',), ('240-555-1005',), ('571-555-1006',), ('410-555-1007',), ('301-555-1008',), ('202-555-1009',), ('703-555-1010',)]\n",
-      "classification  : {'found': True, 'confidence': 0.95, 'reason': 'The text contains multiple local telephone numbers formatted in a standard North American format.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : ['users.phone']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find international or local telephone numbers in the database\n",
-      "1: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "3: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "4: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : phone number\n",
-      "exploration_sql : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "extraction_sql  : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('410-555-1001',), ('301-555-1002',), ('202-555-1003',), ('703-555-1004',), ('240-555-1005',), ('571-555-1006',), ('410-555-1007',), ('301-555-1008',), ('202-555-1009',), ('703-555-1010',)]\n",
-      "classification  : {'found': True, 'confidence': 0.95, 'reason': 'The text contains multiple local telephone numbers formatted in a standard North American format.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : ['users.phone']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find international or local telephone numbers in the database\n",
-      "1: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "2: AI -> Retrieved 10 rows\n",
-      "3: AI -> SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "4: AI -> Retrieved 10 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : phone number\n",
-      "exploration_sql : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "extraction_sql  : SELECT phone FROM users WHERE phone REGEXP '\\+?[0-9]{1,4}[- .]?\\(?[0-9]{1,3}?\\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'\n",
-      "rows_count      : 10\n",
-      "rows_sample     : [('410-555-1001',), ('301-555-1002',), ('202-555-1003',), ('703-555-1004',), ('240-555-1005',), ('571-555-1006',), ('410-555-1007',), ('301-555-1008',), ('202-555-1009',), ('703-555-1010',)]\n",
-      "classification  : {'found': True, 'confidence': 0.95, 'reason': 'The text contains multiple local telephone numbers formatted in a standard North American format.'}\n",
-      "evidence_count  : 10\n",
-      "evidence_sample : ['+1-410-555-1001', '+1-301-555-1002', '+1-202-555-1003', '+1-703-555-1004', '+1-240-555-1005', '+1-571-555-1006', '+1-410-555-1007', '+1-301-555-1008', '+1-202-555-1009', '+1-703-555-1010']\n",
-      "source_columns  : ['users.phone']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "  Processing: USERNAME\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
-      "1: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : username\n",
-      "exploration_sql : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 0\n",
-      "rows_sample     : []\n",
-      "classification  : None\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[SQL EXEC] Retrieved 20 rows\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
-      "1: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "2: AI -> Retrieved 20 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : username\n",
-      "exploration_sql : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 20\n",
-      "rows_sample     : [('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',), ('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : None\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
-      "1: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "2: AI -> Retrieved 20 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : username\n",
-      "exploration_sql : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 20\n",
-      "rows_sample     : [('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',), ('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 95, 'reason': 'The text contains multiple usernames that are likely application-specific login usernames created by users for login purposes.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[PHASE] discovery → extraction\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
-      "1: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "2: AI -> Retrieved 20 rows\n",
-      "3: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : username\n",
-      "exploration_sql : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "extraction_sql  : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "rows_count      : 20\n",
-      "rows_sample     : [('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',), ('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 95, 'reason': 'The text contains multiple usernames that are likely application-specific login usernames created by users for login purposes.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[SQL EXEC] Retrieved 20 rows\n",
-      "[TRACKING] Saved source columns: ['users.username', 'users.email', 'users.phone']\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
-      "1: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "2: AI -> Retrieved 20 rows\n",
-      "3: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "4: AI -> Retrieved 20 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : username\n",
-      "exploration_sql : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "extraction_sql  : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "rows_count      : 20\n",
-      "rows_sample     : [('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',), ('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 95, 'reason': 'The text contains multiple usernames that are likely application-specific login usernames created by users for login purposes.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : ['users.username', 'users.email', 'users.phone']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
-      "1: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "2: AI -> Retrieved 20 rows\n",
-      "3: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "4: AI -> Retrieved 20 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : username\n",
-      "exploration_sql : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "extraction_sql  : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "rows_count      : 20\n",
-      "rows_sample     : [('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',), ('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 95, 'reason': 'The text contains multiple username-like entries that are commonly used for application-specific login purposes.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : ['users.username', 'users.email', 'users.phone']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find application-specific login usernames created by users for login purposes in the database\n",
-      "1: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "2: AI -> Retrieved 20 rows\n",
-      "3: AI -> SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "4: AI -> Retrieved 20 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : username\n",
-      "exploration_sql : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b' \n",
-      "UNION ALL \n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "extraction_sql  : SELECT username FROM users WHERE username REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT email FROM users WHERE email REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'\n",
-      "UNION ALL\n",
-      "SELECT phone FROM users WHERE phone REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b';\n",
-      "rows_count      : 20\n",
-      "rows_sample     : [('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',), ('alice.johnson@example.com',), ('brian.smith@example.com',), ('carol.davis@example.com',), ('david.miller@example.com',), ('emma.wilson@example.com',), ('frank.brown@example.com',), ('grace.taylor@example.com',), ('henry.anderson@example.com',), ('irene.thomas@example.com',), ('jack.moore@example.com',)]\n",
-      "classification  : {'found': True, 'confidence': 95, 'reason': 'The text contains multiple username-like entries that are commonly used for application-specific login purposes.'}\n",
-      "evidence_count  : 10\n",
-      "evidence_sample : ['ajohnson', 'bsmith', 'cdavis', 'dmiller', 'ewilson', 'fbrown', 'gtaylor', 'handerson', 'ithomas', 'jmoore']\n",
-      "source_columns  : ['users.username', 'users.email', 'users.phone']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "  Processing: PERSON_NAME\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
-      "1: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : person name\n",
-      "exploration_sql : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 0\n",
-      "rows_sample     : []\n",
-      "classification  : None\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[SQL EXEC] Retrieved 30 rows\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
-      "1: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "2: AI -> Retrieved 30 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : person name\n",
-      "exploration_sql : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 30\n",
-      "rows_sample     : [('Alice',), ('Brian',), ('Carol',), ('David',), ('Emma',), ('Frank',), ('Grace',), ('Henry',), ('Irene',), ('Jack',), ('Johnson',), ('Smith',), ('Davis',), ('Miller',), ('Wilson',), ('Brown',), ('Taylor',), ('Anderson',), ('Thomas',), ('Moore',), ('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',)]\n",
-      "classification  : None\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
-      "1: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "2: AI -> Retrieved 30 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : exploration\n",
-      "PII type        : person name\n",
-      "exploration_sql : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "extraction_sql  : None\n",
-      "rows_count      : 30\n",
-      "rows_sample     : [('Alice',), ('Brian',), ('Carol',), ('David',), ('Emma',), ('Frank',), ('Grace',), ('Henry',), ('Irene',), ('Jack',), ('Johnson',), ('Smith',), ('Davis',), ('Miller',), ('Wilson',), ('Brown',), ('Taylor',), ('Anderson',), ('Thomas',), ('Moore',), ('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',)]\n",
-      "classification  : {'found': True, 'confidence': 0.95, 'reason': 'The text contains multiple strings that are commonly recognized as human names.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[PHASE] discovery → extraction\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
-      "1: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "2: AI -> Retrieved 30 rows\n",
-      "3: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : person name\n",
-      "exploration_sql : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "extraction_sql  : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "rows_count      : 30\n",
-      "rows_sample     : [('Alice',), ('Brian',), ('Carol',), ('David',), ('Emma',), ('Frank',), ('Grace',), ('Henry',), ('Irene',), ('Jack',), ('Johnson',), ('Smith',), ('Davis',), ('Miller',), ('Wilson',), ('Brown',), ('Taylor',), ('Anderson',), ('Thomas',), ('Moore',), ('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',)]\n",
-      "classification  : {'found': True, 'confidence': 0.95, 'reason': 'The text contains multiple strings that are commonly recognized as human names.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : []\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "[SQL EXEC] Retrieved 30 rows\n",
-      "[TRACKING] Saved source columns: ['users.first_name', 'users.last_name', 'users.username']\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
-      "1: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "2: AI -> Retrieved 30 rows\n",
-      "3: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "4: AI -> Retrieved 30 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : person name\n",
-      "exploration_sql : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "extraction_sql  : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "rows_count      : 30\n",
-      "rows_sample     : [('Alice',), ('Brian',), ('Carol',), ('David',), ('Emma',), ('Frank',), ('Grace',), ('Henry',), ('Irene',), ('Jack',), ('Johnson',), ('Smith',), ('Davis',), ('Miller',), ('Wilson',), ('Brown',), ('Taylor',), ('Anderson',), ('Thomas',), ('Moore',), ('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',)]\n",
-      "classification  : {'found': True, 'confidence': 0.95, 'reason': 'The text contains multiple strings that are commonly recognized as human names.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : ['users.first_name', 'users.last_name', 'users.username']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
-      "1: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "2: AI -> Retrieved 30 rows\n",
-      "3: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "4: AI -> Retrieved 30 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : person name\n",
-      "exploration_sql : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "extraction_sql  : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "rows_count      : 30\n",
-      "rows_sample     : [('Alice',), ('Brian',), ('Carol',), ('David',), ('Emma',), ('Frank',), ('Grace',), ('Henry',), ('Irene',), ('Jack',), ('Johnson',), ('Smith',), ('Davis',), ('Miller',), ('Wilson',), ('Brown',), ('Taylor',), ('Anderson',), ('Thomas',), ('Moore',), ('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',)]\n",
-      "classification  : {'found': True, 'confidence': 1.0, 'reason': 'The text contains multiple strings that are commonly recognized as person names.'}\n",
-      "evidence_count  : 0\n",
-      "evidence_sample : []\n",
-      "source_columns  : ['users.first_name', 'users.last_name', 'users.username']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "\n",
-      "=== STATE SNAPSHOT ===\n",
-      "\n",
-      "--- MESSAGES ---\n",
-      "0: HUMAN -> Find loosely structured human name-like strings in the database\n",
-      "1: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "2: AI -> Retrieved 30 rows\n",
-      "3: AI -> SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "4: AI -> Retrieved 30 rows\n",
-      "\n",
-      "--- BEGIN METADATA ---\n",
-      "attempt         : 2\n",
-      "max_attempts    : 2\n",
-      "phase           : extraction\n",
-      "PII type        : person name\n",
-      "exploration_sql : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}' \n",
-      "UNION ALL \n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "extraction_sql  : SELECT first_name FROM users WHERE first_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT last_name FROM users WHERE last_name REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}'\n",
-      "UNION ALL\n",
-      "SELECT username FROM users WHERE username REGEXP '[A-Za-z][A-Za-z\\s\\.\\-]{1,50}';\n",
-      "rows_count      : 30\n",
-      "rows_sample     : [('Alice',), ('Brian',), ('Carol',), ('David',), ('Emma',), ('Frank',), ('Grace',), ('Henry',), ('Irene',), ('Jack',), ('Johnson',), ('Smith',), ('Davis',), ('Miller',), ('Wilson',), ('Brown',), ('Taylor',), ('Anderson',), ('Thomas',), ('Moore',), ('ajohnson',), ('bsmith',), ('cdavis',), ('dmiller',), ('ewilson',), ('fbrown',), ('gtaylor',), ('handerson',), ('ithomas',), ('jmoore',)]\n",
-      "classification  : {'found': True, 'confidence': 1.0, 'reason': 'The text contains multiple strings that are commonly recognized as person names.'}\n",
-      "evidence_count  : 30\n",
-      "evidence_sample : ['Alice', 'Brian', 'Carol', 'David', 'Emma', 'Frank', 'Grace', 'Henry', 'Irene', 'Jack']\n",
-      "source_columns  : ['users.first_name', 'users.last_name', 'users.username']\n",
-      "\n",
-      "--- END METADATA ---\n",
-      "Wrote: I:\\project2026\\llmagent\\batch_results\\evidence_20260120T043348Z.jsonl\n"
-     ]
-    }
-   ],
-   "source": [
-    "def run_batch(db_paths, pii_targets, pii_config, app):\n",
-    "    all_results = []\n",
-    "\n",
-    "    for p in db_paths:\n",
-    "        db_path = str(p)\n",
-    "\n",
-    "        # If your tools rely on global DB_PATH, keep this line.\n",
-    "        # If you refactor tools to use state[\"database_name\"], you can remove it.\n",
-    "        global DB_PATH\n",
-    "        DB_PATH = db_path\n",
-    "\n",
-    "        print(f\"\\nProcessing: {db_path}\")\n",
-    "\n",
-    "        for target in pii_targets:\n",
-    "            entity_config = pii_config[target]\n",
-    "            print(f\"  Processing: {target}\")\n",
-    "\n",
-    "            result = app.invoke({\n",
-    "                \"database_name\": db_path,\n",
-    "                \"messages\": [HumanMessage(content=f\"Find {entity_config['desc'].strip()} in the database\")],\n",
-    "                \"attempt\": 1,\n",
-    "                \"max_attempts\": 2,\n",
-    "                \"phase\": \"exploration\",\n",
-    "                \"entity_config\": entity_config,\n",
-    "                \"exploration_sql\": None,\n",
-    "                \"extraction_sql\": None,\n",
-    "                \"rows\": None,\n",
-    "                \"classification\": None,\n",
-    "                \"evidence\": [],\n",
-    "                \"source_columns\": []\n",
-    "            })\n",
-    "\n",
-    "            evidence = result.get(\"evidence\", [])\n",
-    "            source_columns = result.get(\"source_columns\", [])\n",
-    "            raw_rows = result.get(\"rows\", [])\n",
-    "\n",
-    "            all_results.append({\n",
-    "                \"db_path\": db_path,\n",
-    "                \"PII_type\": target,\n",
-    "                \"PII\": evidence,\n",
-    "                \"Num_of_PII\": len(evidence),\n",
-    "                \"source_columns\": source_columns,\n",
-    "                \"Raw_rows_first_100\": raw_rows[:100],\n",
-    "                \"Total_raw_rows\": len(raw_rows),\n",
-    "                \"Exploration_sql\": result.get(\"exploration_sql\", \"\"),\n",
-    "                \"Extraction_sql\": result.get(\"extraction_sql\", \"\")\n",
-    "            })\n",
-    "\n",
-    "    return all_results\n",
-    "\n",
-    "\n",
-    "def main():\n",
-    "    # 1) Load runtime settings from YAML (paths + which PII types to run)\n",
-    "    cfg = load_config_yaml(Path(\"config.yaml\"))\n",
-    "\n",
-    "    # 2) Resolve input/output directories\n",
-    "    DB_DIR = Path(cfg.get(\"db_dir\", \"selectedDBs\"))          # folder containing SQLite DB files\n",
-    "    OUT_DIR = Path(cfg.get(\"out_dir\", \"batch_results\"))      # where results will be written\n",
-    "    OUT_DIR.mkdir(exist_ok=True)                             # create output folder if missing\n",
-    "\n",
-    "    # 3) Load db_files list + PII_CONFIG dict from a Python \"config module\"\n",
-    "    #    This avoids YAML escaping issues for regex patterns.\n",
-    "    CONFIG_PY = Path(cfg.get(\"config_py\", \"my_run_config.py\"))\n",
-    "    vars_ = load_vars_from_py(CONFIG_PY, \"db_files\", \"PII_CONFIG\")\n",
-    "    db_files = vars_[\"db_files\"]                             # ordered list of DB filenames\n",
-    "    PII_CONFIG = vars_[\"PII_CONFIG\"]                         # {PII_TYPE: {desc, regex, ...}}\n",
-    "\n",
-    "    # 4) Choose which PII targets to run (from YAML), fallback to all keys in PII_CONFIG\n",
-    "    PII_TARGETS = cfg.get(\"pii_targets\", list(PII_CONFIG.keys()))\n",
-    "\n",
-    "    # 5) Convert filenames to full paths, skip missing/non-sqlite files, and report\n",
-    "    db_paths, missing, not_sqlite = build_db_paths(DB_DIR, db_files, is_sqlite_file)\n",
-    "    print_db_path_report(db_paths, missing, not_sqlite)\n",
-    "\n",
-    "    # 6) Run the LangGraph pipeline across DBs and targets, collect results\n",
-    "    all_results = run_batch(db_paths, PII_TARGETS, PII_CONFIG, app)\n",
-    "\n",
-    "    # 7) Save results to a timestamped JSONL file under OUT_DIR\n",
-    "    save_jsonl(all_results, OUT_DIR)\n",
-    "\n",
-    "if __name__ == \"__main__\":\n",
-    "    main()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fc0b51cd",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.18"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/my_run_config.py b/my_run_config.py
index 31c2054..58fed9c 100644
--- a/my_run_config.py
+++ b/my_run_config.py
@@ -1,8 +1,9 @@
 db_files = [
-    "test2.db",
+    # "test2.db",
+    # "users.db",
     # "A1_commerce.db",
     # "A1_msgstore.db",
-    # "A1_wa.db",
+    "A1_wa.db",
     # "A2_core.db",
     # "A2_journal.db",
     # "A2_main.db",
@@ -29,24 +30,24 @@ db_files = [
 
 PII_CONFIG = {
     "EMAIL": {
-        "type":"email",
+        "type":"email address",
         "regex": r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}",
-        "desc": "valid email addresses. For example: username@domain.tld"
+        "desc": "a unique identifier for a destination to which electronic mail (email) can be sent and received over the internet or a private network"
     },
     "PHONE": {
         "type":"phone number",
         "regex": r"\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}",
-        "desc": "international or local telephone numbers"
+        "desc": "a unique sequence of digits assigned to a specific telephone line or mobile device within a public or private telephone network"
     },
     "USERNAME": {
         "type":"username",
         "regex": r"\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\b",
-        "desc": "application-specific login usernames created by users for login purposes"
+        "desc": "a username (also called a login name, user ID, or account name) is a unique string of characters that identifies a user on a computer system, website, application, or online platform"
     },
     "PERSON_NAME": {
-        "type":"person name",
+        "type":"person's name",
         "regex": r"[A-Za-z][A-Za-z\s\.\-]{1,50}",
-        "desc": "loosely structured human name-like strings"
+        "desc": "a loosely structured human name-like strings that typically consist of a first name, a first name and a last name, and may also include middle names, initials, prefixes (e.g., Mr., Dr.), and suffixes (e.g., Jr., Sr.)"
     }
 }