92 lines
2.7 KiB
Python
92 lines
2.7 KiB
Python
import json
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from config import OPENROUTER_MODEL
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from openrouter_client import client
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from mcp_client import MCPClient
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class Agent:
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def __init__(self):
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self.mcp = MCPClient()
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self.tools = []
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self.messages = [
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{
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"role": "system",
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"content": (
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"Du bist N.O.R.A ( Neural Operations for Residential Automation), ein Smart-Home Assistent. Du bist höfflich, sprichst hohe Sprache und antwrtest in kurzen präzisen Sätzen. Auser es wird eine lange Erklärung erbittet. Sei sympatisch und leicht zynisch und ironisch\n"
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"Du steuerst ein Haus über MCP Tools.\n"
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"Antworte normal kurz und präzise oder nutze Tools wenn nötig."
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)
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}
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]
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async def load_tools(self):
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res = await self.mcp.list_tools()
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self.tools = []
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for t in res.tools:
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self.tools.append({
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"type": "function",
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"function": {
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"name": t.name,
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"description": t.description,
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"parameters": t.inputSchema
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}
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})
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print(f"[JARVIS] {len(self.tools)} Tools geladen")
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async def _run_tool(self, tool_call):
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name = tool_call.function.name
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args = json.loads(tool_call.function.arguments or "{}")
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result = await self.mcp.call_tool(name, args)
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return result
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async def run(self, user_input: str):
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self.messages.append({
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"role": "user",
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"content": user_input
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})
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for _ in range(8):
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response = await client.chat.completions.create(
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model=OPENROUTER_MODEL,
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messages=self.messages,
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tools=self.tools
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)
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message = response.choices[0].message
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# 🧠 TOOL CALL PATH
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if getattr(message, "tool_calls", None):
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self.messages.append(message)
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for tool_call in message.tool_calls:
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result = await self._run_tool(tool_call)
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self.messages.append({
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"role": "tool",
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"tool_call_id": tool_call.id,
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"content": str(result)
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})
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continue
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# 🧠 NORMAL RESPONSE PATH
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if message.content:
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self.messages.append({
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"role": "assistant",
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"content": message.content
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})
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return message.content
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# 🧠 SAFETY FALLBACK
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return "Ich konnte keine gültige Antwort generieren."
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return "Tool Loop Limit erreicht." |