agent.py

import os
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain.agents import initialize_agent, Tool, AgentType
from langchain_community.tools import DuckDuckGoSearchResults
from langchain.memory import ConversationBufferMemory
from langchain_core.messages import SystemMessage

# API Key automatisch aus Environment ziehen
google_api_key = os.getenv("GOOGLE_API_KEY")

# LLM: Gemini 2.0 Flash
llm = ChatGoogleGenerativeAI(
    model="gemini-2.0-flash",
    google_api_key=google_api_key,
    temperature=0,
    max_output_tokens=2048,
    system_message=SystemMessage(content=(
        "You are a highly accurate AI assistant. "
        "You must answer precisely, concisely, and only if you are confident. "
        "Use the available tools like Web Search if needed. "
        "Always prefer exact information over assumptions."
    ))
)

# Tools: DuckDuckGo Web Search
search_tool = DuckDuckGoSearchResults()

tools = [
    Tool(
        name="WebSearch",
        func=search_tool.run,
        description="Use this to search the internet for up-to-date or unknown information."
    ),
]

# Memory (optional, kann auch weggelassen werden, falls nicht gebraucht)
memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)

# Agent
agent_executor = initialize_agent(
    tools=tools,
    llm=llm,
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    verbose=True,
    memory=memory,
    handle_parsing_errors=True,
)