Delete agent.py

agent.py

@@ -1,50 +0,0 @@
-from typing import TypedDict, Annotated
-from langgraph.graph.message import add_messages
-from langchain_core.messages import AnyMessage, HumanMessage, AIMessage
-from langgraph.prebuilt import ToolNode
-from langgraph.graph import START, StateGraph
-from langgraph.prebuilt import tools_condition
-from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
-from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
-from tools import *
-
-# Generate the chat interface, including the tools
-llm = HuggingFaceEndpoint(
-    repo_id="Qwen/Qwen2.5-Coder-32B-Instruct",
-    huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN,
-)
-
-chat = ChatHuggingFace(llm=llm, verbose=True)
-
-tools = [
-    search_tool
-]
-
-chat_with_tools = chat.bind_tools(tools)
-
-# Generate the AgentState and Agent graph
-class AgentState(TypedDict):
-    messages: Annotated[list[AnyMessage], add_messages]
-
-def assistant(state: AgentState):
-    return {
-        "messages": [chat_with_tools.invoke(state["messages"])],
-    }
-
-## The graph
-builder = StateGraph(AgentState)
-
-# Define nodes: these do the work
-builder.add_node("assistant", assistant)
-builder.add_node("tools", ToolNode(tools))
-
-# Define edges: these determine how the control flow moves
-builder.add_edge(START, "assistant")
-builder.add_conditional_edges(
-    "assistant",
-    # If the latest message requires a tool, route to tools
-    # Otherwise, provide a direct response
-    tools_condition,
-)
-builder.add_edge("tools", "assistant")
-agent = builder.compile()