Files
AI-System/agent.py
T
2026-07-05 09:26:07 +00:00

126 lines
3.2 KiB
Python

import json
from llm.base import LLMBase
from client import MCPClient
from config import MCP_URL
class Agent:
def __init__(self, llm: LLMBase):
self.llm = llm
self.mcp = MCPClient(MCP_URL)
self.tools = []
self.messages = [
{
"role": "system",
"content": (
"Du bist JARVIS, ein Smart-Home Assistent. "
"Du steuerst ein Haus über MCP Tools. "
"Wenn nötig, verwende Tools."
)
}
]
async def load_tools(self):
"""
Holt MCP Tools und konvertiert sie für Amazon Nova (Bedrock Converse API)
"""
res = await self.mcp.list_tools()
self.tools = []
for t in res.tools:
self.tools.append({
"toolSpec": {
"name": t.name,
"description": t.description,
"inputSchema": {
"json": t.inputSchema
}
}
})
print(f"[JARVIS] {len(self.tools)} Tools geladen")
async def _run_tool(self, tool_use):
"""
Führt MCP Tool aus
"""
name = tool_use["name"]
args = tool_use.get("input", {})
result = await self.mcp.call_tool(name, args)
return result
async def run(self, user_input: str):
self.messages.append({
"role": "user",
"content": user_input
})
for _ in range(8):
response = await self.llm.chat(
messages=self.messages,
tools=self.tools
)
# 🧠 Bedrock Nova Response parsing
output = response.get("output", {})
message = output.get("message", {})
content = message.get("content", [])
tool_uses = []
for c in content:
if "toolUse" in c:
tool_uses.append(c["toolUse"])
if tool_uses:
self.messages.append({
"role": "assistant",
"content": content
})
tool_results = []
for tool in tool_uses:
result = await self._run_tool(tool)
tool_results.append({
"toolResult": {
"toolUseId": tool["toolUseId"],
"content": [
{
"text": str(result)
}
]
}
})
self.messages.append({
"role": "user",
"content": tool_results
})
continue
final_text = ""
for c in content:
if "text" in c:
final_text += c["text"]
if final_text:
self.messages.append({
"role": "assistant",
"content": content
})
return final_text
return "Tool Loop Limit erreicht"