Initial commit : agent XMPP avec système de skills

- agent1.py : bot XMPP connecté à Ollama avec boucle agentique
- skills/web_search.py : recherche DuckDuckGo (ddgs)
- skills/web_read.py : lecture et extraction de pages web
- skills/memory.py : mémoire persistante SQLite (REMEMBER/RECALL)
- skills/loader.py : chargement dynamique des skills

agent1.py

@@ -0,0 +1,119 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import asyncio
+import sys
+import requests
+import json
+from pathlib import Path
+from slixmpp import ClientXMPP
+
+# Ajouter /opt/agent au path pour importer les skills
+sys.path.insert(0, "/opt/agent")
+
+from skills.loader import load_skills, run_skills
+
+# ── CONFIG ───────────────────────────────────────────────────────────────
+CONFIG_DIR  = Path("/opt/agent/config")
+CONFIG_FILE = CONFIG_DIR / "config.json"
+PROMPT_FILE = CONFIG_DIR / "system_prompt.txt"
+
+def load_config():
+    with open(CONFIG_FILE, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+def load_system_prompt():
+    with open(PROMPT_FILE, "r", encoding="utf-8") as f:
+        return f.read()
+
+cfg           = load_config()
+OLLAMA_URL    = cfg["ollama_url"]
+MODEL         = cfg["model"]
+XMPP_JID      = cfg["xmpp_jid"]
+XMPP_PASS     = cfg["xmpp_pass"]
+ADMIN_JID     = cfg["admin_jid"]
+SYSTEM_PROMPT = load_system_prompt()
+
+# Charger les skills au démarrage
+load_skills()
+
+conversation_history = []
+
+# ── LLM ──────────────────────────────────────────────────────────────────
+def call_ollama(messages: list) -> str:
+    payload = {
+        "model"   : MODEL,
+        "messages": messages,
+        "stream"  : False,
+        "options" : {"temperature": 0.3}
+    }
+    response = requests.post(OLLAMA_URL, json=payload, timeout=180)
+    data     = response.json()
+    return data["message"]["content"]
+
+def ask_llm(user_message: str) -> str:
+    conversation_history.append({"role": "user", "content": user_message})
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}] + conversation_history
+
+    try:
+        # Boucle agentique : le LLM peut enchaîner plusieurs skills
+        MAX_STEPS = 5
+        for _ in range(MAX_STEPS):
+            reply = call_ollama(messages)
+            skill_triggered, result = run_skills(reply)
+
+            if not skill_triggered:
+                # Réponse finale sans commande
+                conversation_history.append({"role": "assistant", "content": reply})
+                return reply
+
+            # Injecter le résultat du skill et relancer le LLM
+            messages.append({"role": "assistant", "content": reply})
+            messages.append({"role": "user",      "content": "[Résultat skill]\n" + result})
+
+        # Sécurité : trop d'étapes
+        reply = call_ollama(messages)
+        conversation_history.append({"role": "assistant", "content": reply})
+        return reply
+
+    except Exception as e:
+        error_reply = "Erreur : " + str(e)
+        conversation_history.append({"role": "assistant", "content": error_reply})
+        return error_reply
+
+# ── BOT XMPP ─────────────────────────────────────────────────────────────
+class AgentBot(ClientXMPP):
+    def __init__(self):
+        ClientXMPP.__init__(self, XMPP_JID, XMPP_PASS)
+        self.add_event_handler("session_start", self.session_start)
+        self.add_event_handler("message",       self.message)
+        self.register_plugin('xep_0030')
+        self.register_plugin('xep_0199')
+
+    async def session_start(self, event):
+        self.send_presence()
+        await self.get_roster()
+        self.send_message(mto=ADMIN_JID, mbody="Agent en ligne !", mtype='chat')
+
+    async def message(self, msg):
+        if msg['type'] not in ('chat', 'normal'):
+            return
+        if str(msg['from']).split('/')[0] != ADMIN_JID:
+            return
+
+        user_input = msg['body'].strip()
+
+        if user_input == "!reset":
+            conversation_history.clear()
+            self.send_message(mto=ADMIN_JID, mbody="Conversation reinitialisee.", mtype='chat')
+            return
+
+        loop  = asyncio.get_event_loop()
+        reply = await loop.run_in_executor(None, ask_llm, user_input)
+        self.send_message(mto=ADMIN_JID, mbody=reply, mtype='chat')
+
+# ── MAIN ─────────────────────────────────────────────────────────────────
+if __name__ == "__main__":
+    bot = AgentBot()
+    bot.connect()
+    bot.loop.run_forever()