Create agent.py

agent.py

@@ -0,0 +1,44 @@
+import os
+from langchain import hub
+from langchain.agents import initialize_agent, AgentType, Tool
+from langchain.llms import HuggingFaceHub
+from langchain_community.tools import DuckDuckGoSearchResults
+from langchain_experimental.tools import PythonREPLTool
+from langchain.agents.agent_toolkits import create_python_agent
+from langchain.agents import load_tools
+
+# Lade dein Hugging Face Token (falls benötigt)
+from huggingface_hub import login
+# login(token="your-huggingface-token-here")  # Optional, falls dein Space das braucht
+
+# LLM: Mistral-7B-Instruct über Hugging Face Inference API
+llm = HuggingFaceHub(
+    repo_id="mistralai/Mistral-7B-Instruct-v0.2",
+    model_kwargs={"temperature": 0.2, "max_new_tokens": 512}
+)
+
+# Tools definieren
+search_tool = DuckDuckGoSearchResults()
+python_tool = PythonREPLTool()
+
+tools = [
+    Tool(
+        name="Search",
+        func=search_tool.run,
+        description="Useful for when you need to answer questions about current events or look up information online."
+    ),
+    Tool(
+        name="Python_REPL",
+        func=python_tool.run,
+        description="Useful for math, calculations, or running simple python code."
+    ),
+]
+
+# Agent initialisieren
+agent_executor = initialize_agent(
+    tools,
+    llm,
+    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+    verbose=True,
+    handle_parsing_errors=True,
+)