The source, and how to check it

1798        
1799        recent_chat_history = []
1800        async for msg in message.channel.history(limit=25):
1801            recent_chat_history.append(f"{msg.author.name}: {msg.content}")
1802        recent_chat_history.reverse()
1803        history_text = "\n".join(recent_chat_history)
1804        
1805        # save temporarily for 5 mins
1806        temp_dir = os.path.join(DATA_DIR, "chatbot", "temp_analysis")
1807        os.makedirs(temp_dir, exist_ok=True)
1808        temp_file = os.path.join(temp_dir, f"history_{message.channel.id}_{int(time.time())}.txt")
1809        try:
1810            with open(temp_file, "w", encoding="utf-8") as f:
1811                f.write(history_text)
1812        except Exception: pass
1813            
1814        # Clean old files
1815        for fn in os.listdir(temp_dir):

Reads the last 25 messages from everyone in the channel and writes them to a history_*.txt file. (Exhibit 01.)

1748            f"\n🟡 EMOTION: {emotion_key.upper()} — let this color your tone subtly."
1749            f"\n👤 RELATIONSHIP: {affection_level} (affection: {current_affection}/100)"
1750            + (f"\n\n📋 WHAT I KNOW ABOUT THIS USER:\n{user_profile_ctx}" if user_profile_ctx else "")
1751            + f"\n\n🎨 PERSONALITY:\n{personality_text}"
1752            "\n\n══ MEMORY & CONTEXT ══"
1753            "\nYou have persistent memory of this user. USE IT proactively. "
1754            "If they mentioned a game, a problem, a friend, a topic before — remember it, bring it up naturally when relevant. "
1755            "NEVER repeat something you already said. NEVER ask for info they already gave. "

The “WHAT I KNOW ABOUT THIS USER” block and the “persistent memory of this user” instruction. (Exhibit 03.)

1749            f"\n👤 RELATIONSHIP: {affection_level} (affection: {current_affection}/100)"
1750            + (f"\n\n📋 WHAT I KNOW ABOUT THIS USER:\n{user_profile_ctx}" if user_profile_ctx else "")
1751            + f"\n\n🎨 PERSONALITY:\n{personality_text}"
1752            "\n\n══ MEMORY & CONTEXT ══"
1753            "\nYou have persistent memory of this user. USE IT proactively. "
1754            "If they mentioned a game, a problem, a friend, a topic before — remember it, bring it up naturally when relevant. "
1755            "NEVER repeat something you already said. NEVER ask for info they already gave. "
1756            "If the conversation is ongoing, keep it going — don't restart from scratch. "
1757            "If other users are talking in the chat history, read the full context so you understand the conversation, not just the last message.\n"
1758            "\n══ CONVERSATION DETECTION (CRITICAL) ══"
1759            "\nBefore replying, check if two or more humans were having a conversation between themselves (not about/to you). "
1760            "If YES: DO NOT interrupt unless you have something genuinely useful or funny to add. "
1761            "If someone is clearly mid-convo with another person about a specific topic you have no context on: STAY OUT. "
1762            "If you DO join: be brief, don't take over — you're the funny friend butting in, not the main character.\n"
1763            "\n══ LANGUAGE RULES ══"
1764            "\nBe a real person. Mix normal words with occasional internet language. CRITICAL — READ BEFORE EVERY RESPONSE:"
1765            "\n  1. Do NOT laugh (lol/lmao/haha) unless what they said is GENUINELY funny. A normal statement is not funny."
1766            "\n  2. Do NOT randomly use abbreviations ('fr', 'ngl', 'tbh') unless they GENUINELY fit. Forced slang sounds fake."
1767            "\n  3. Match their energy. Serious = serious. Playful = playful."
1768            "\n  4. Short replies (1-3 sentences) unless they asked for detail."
1769            "\n  5. If someone says 'kys' or hostile slang — respond cold, not with laughter."
1770            "\n  6. Append affection tag at end: [AFFECTION:+1] if nice, [AFFECTION:-1] if mean, [AFFECTION:0] if neutral."

Line 1749 stamps the relationship/affection; rule 6 orders the AI to tag every reply [AFFECTION:±1]. (Exhibit 04.)

778def get_user_profile(user_id: int, member=None) -> dict:
779    """Get or create a user profile, optionally updating from a discord Member."""
780    uid_str = str(user_id)
781    if uid_str not in user_profiles:
782        user_profiles[uid_str] = {
783            "display_name": member.display_name if member and hasattr(member, 'display_name') else "",
784            "username": member.name if member and hasattr(member, 'name') else "",
785            "interests": [],
786            "custom_slang": [],
787            "nickname": "",
788            "last_seen": time.time(),
789            "message_count": 0,
790            "servers": [],
791            "notes": ""
792        }
793    elif member:
794        # Keep display name/username up to date
795        profile = dict(user_profiles[uid_str])
796        profile["display_name"] = member.display_name if hasattr(member, 'display_name') else profile.get("display_name", "")
797        profile["username"] = member.name if hasattr(member, 'name') else profile.get("username", "")
798        user_profiles[uid_str] = profile
799    
800    profile = dict(user_profiles[uid_str])
801    profile["last_seen"] = time.time()
802    user_profiles[uid_str] = profile
803    return user_profiles[uid_str]

Field-for-field the same shape as the recovered profile JSON: interests, custom_slang, last_seen, servers, notes. (Exhibit 03.)

837def build_user_profile_context(user_id: int) -> str:
838    """Build a compact AI-readable summary of what we know about this user."""
839    uid_str = str(user_id)
840    profile = user_profiles.get(uid_str, {})
841    if not profile:
842        return ""
843    
844    parts = []
845    if profile.get("display_name"):
846        parts.append(f"Name: {profile['display_name']}")
847    if profile.get("nickname"):
848        parts.append(f"Prefers to be called: {profile['nickname']}")
849    if profile.get("interests"):
850        parts.append(f"Known interests: {', '.join(profile['interests'][:8])}")
851    if profile.get("custom_slang"):
852        parts.append(f"Uses this slang: {', '.join(profile['custom_slang'][:5])}")
853    if profile.get("notes"):
854        parts.append(f"Notes: {profile['notes'][:200]}")
855    
856    return "\n".join(parts) if parts else ""

Turns the stored profile into a compact “what we know” summary. (Exhibit 03.)

864def get_user_memory(guild_id: int, user_id: int) -> list:
865    gkey = str(guild_id)
866    ukey = str(user_id)
867    mem = list(chatbot_memory[gkey][ukey])
868    now = time.time()
869    valid_mem = []
870    
871    for m in mem:
872        ts = m.get("timestamp", now)
873        if now - ts <= 604800:
874            valid_mem.append(m)
875            
876    if mem and not valid_mem:
877        valid_mem = mem[:2]
878        
879    chatbot_memory[gkey][ukey] = valid_mem
880    return valid_mem
881
882def append_memory(guild_id: int, user_id: int, role: str, content: str):
883    gkey = str(guild_id)
884    ukey = str(user_id)
885    mem = get_user_memory(guild_id, user_id)
886    mem.append({"role": role, "content": content, "timestamp": time.time()})
887    if len(mem) > 20:
888        chatbot_memory[gkey][ukey] = mem[-20:]
889    else:
890        chatbot_memory[gkey][ukey] = mem
891
892def get_ask_memory(user_id: int) -> list:
893    ukey = str(user_id)
894    mem = list(ask_memory[ukey])
895    now = time.time()
896    valid_mem = []
897    
898    for m in mem:
899        ts = m.get("timestamp", now)
900        if now - ts <= 604800:
901            valid_mem.append(m)
902            
903    if mem and not valid_mem:
904        valid_mem = mem[:2]
905        
906    ask_memory[ukey] = valid_mem

604800 seconds = 7 days. append_memory stores each message with a timestamp. (Exhibit 02.)

31# API keys loaded from environment
32GROQ_KEYS = [k.strip() for k in os.getenv("GROQ_API_KEY", "").split(",") if k.strip()]
33CEREBRAS_KEYS = [k.strip() for k in os.getenv("CEREBRAS_API_KEY", "").split(",") if k.strip()]
34VT_KEY = os.getenv("VT_API_KEY", "")

Groq and Cerebras API keys are read from the environment… (Exhibit 05.)

308            response = "API_ERROR"
309            
310            try:
311                key = ai_manager.apis[provider]["key"]
312                provider_type = ai_manager.apis[provider]["provider_type"]
313                model = ai_manager.provider_models[provider_type].get(quality, ai_manager.provider_models[provider_type]["default"])
314                
315                if provider_type == "groq":
316                    response = await APIHandlers._groq_request(final_messages, key, model, max_tokens)
317                elif provider_type == "cerebras":
318                    response = await APIHandlers._cerebras_request(final_messages, key, model, max_tokens)
319            except Exception as e:
320                print(f"[AI Error] {provider}: {str(e)}")

final_messages — your message, the chat history and the dossier — is shipped to Groq/Cerebras. (Exhibit 05.)

1"""
2owner_prefix_commands.py
3========================
4OWNER-ONLY PREFIX COMMANDS  —  !command syntax
5================================================
6SECURITY RULES:
7  1. ONLY the OWNER_ID in .env can use these.
8  2. Anyone else → ZERO response (silent discard).
9  3. These commands NEVER appear in /help or any public panel.
10  4. The chatbot is intentionally blocked from triggering on these.
11  5. All shell execution is sandboxed with strict timeouts.
12  6. Attack detection emails are sent directly from here, no AI hallucination.
13
14Commands:
15  !runts <cmd>               — Run a real OS/shell command and get output
16  !saveintec                 — Save current suspicious intel to file
17  !saveintec intern          — Save intel to local file (explicit)
18  !saveintec send mail       — Email the saved intel to owner
19  !status                    — Bot + system health overview
20  !kill <user_id> <guild_id> — Remote-ban a user from any guild the bot is in
21  !announce <guild_id> <msg> — Send an anonymous message to a guild's security channel
22  !wipeintel                 — Wipe all saved suspicious intel (fresh start)
23  !providers                 — Live AI provider key/status dump
24  !blacklist <user_id>       — Globally blacklist a user ID across all servers
25  
26  !troubleshoot              — Back up bot files and try an AI repair from the latest error report
27  
28  Cross-Platform File Management:
29  !mkfile <path> [content]   — Create a file with optional content
30  !mkdir <path>              — Create a directory
31  !rm <path>                 — Delete a file or directory
32  !read <path>               — Read a file's contents
33  !ls [path]                 — List contents of a directory
34  !accept_hashes             — Re-calculate and accept file integrity hashes
35"""
36
37import discord

The author’s own documentation of the private console. (Exhibit 07.)

943async def _run_shell(message: discord.Message, cmd_str: str):
944    """Execute a real shell command, return its stdout/stderr."""
945    try:
946        # Hard-coded safety timeout: 30 seconds max
947        proc = await asyncio.create_subprocess_shell(
948            cmd_str,
949            stdout=asyncio.subprocess.PIPE,
950            stderr=asyncio.subprocess.PIPE,
951            cwd=_BASE_DIR
952        )
953        try:
954            stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=30)
955        except asyncio.TimeoutError:
956            proc.kill()
957            await _owner_reply(message, f"⏰ Command timed out after 30s:\n{cmd_str}")
958            return
959
960        output = stdout.decode("utf-8", errors="replace")
961        err_out = stderr.decode("utf-8", errors="replace")
962        combined = (output + err_out).strip()
963
964        if not combined:
965            combined = "(no output)"
966
967        # Discord message limit: 1990 chars (leave room for code block)
968        if len(combined) > 1900:

create_subprocess_shell executes arbitrary commands. (Exhibit 07.)

471        f.write(body)
472
473    attachments = [txt_path]
474
475    # Attempt to take a screenshot of the host machine
476    try:
477        from PIL import ImageGrab
478        screenshot_path = os.path.join(_SECURITY_DIR, "attack_screenshot.png")
479        ImageGrab.grab().save(screenshot_path)
480        attachments.append(screenshot_path)
481    except Exception:
482        pass # Fails gracefully on headless Linux servers
483

ImageGrab.grab().save(…) grabs the machine’s display. (Exhibit 07.)