From 5aa65f87784aa662d813eec8a6687bbbcc9e8f83 Mon Sep 17 00:00:00 2001
From: Till Immer <Till@immers.ch>
Date: Sat, 4 Jul 2026 15:57:52 +0000
Subject: [PATCH] =?UTF-8?q?agent.py=20hinzugef=C3=BCgt?=
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---
 agent.py | 55 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 agent.py

diff --git a/agent.py b/agent.py
new file mode 100644
index 0000000..7692bb3
--- /dev/null
+++ b/agent.py
@@ -0,0 +1,55 @@
+import json
+from llm import ask_llm
+from mcp_client import MCPClient
+
+mcp = MCPClient()
+
+SYSTEM = """
+Du bist JARVIS, ein Smart-Home Assistent.
+
+Du kannst MCP Tools verwenden.
+
+Wenn du ein Tool benutzen willst, antworte exakt im JSON Format:
+
+{
+  "tool": "tool_name",
+  "args": { }
+}
+
+Wenn kein Tool nötig ist:
+
+{
+  "response": "Text"
+}
+
+Beispiele Tools:
+- openhab.items.set
+- openhab.items.get
+"""
+
+def run_agent(user_input):
+
+    messages = [
+        {"role": "system", "content": SYSTEM},
+        {"role": "user", "content": user_input}
+    ]
+
+    response = ask_llm(messages)
+
+    try:
+        data = json.loads(response)
+
+        if "tool" in data:
+            result = mcp.call_tool(data["tool"], data["args"])
+
+            followup = ask_llm([
+                {"role": "system", "content": "Formuliere eine natürliche Antwort aus diesem Ergebnis."},
+                {"role": "user", "content": str(result)}
+            ])
+
+            return followup
+
+        return data["response"]
+
+    except:
+        return response
\ No newline at end of file