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main.py
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80 lines (57 loc) · 2.08 KB
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import dotenv
dotenv.load_dotenv()
from typing import Annotated
from langchain_anthropic import ChatAnthropic
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain_core.tools import tool
from typing_extensions import TypedDict
from langgraph.checkpoint.memory import MemorySaver
from langgraph.graph import StateGraph, START, END
from langgraph.graph.message import add_messages
from langgraph.prebuilt import ToolNode, tools_condition
from langgraph.types import Command, interrupt
class State(TypedDict):
messages: Annotated[list, add_messages]
graph_builder = StateGraph(State)
@tool
def human_assistance(query: str) -> str:
"""Request assistance from a human."""
human_response = interrupt({"query": query})
return human_response["data"]
tool = TavilySearchResults(max_results=2)
tools = [tool, human_assistance]
llm = ChatAnthropic(model="claude-3-5-sonnet-20240620")
llm_with_tools = llm.bind_tools(tools)
def chatbot(state: State):
message = llm_with_tools.invoke(state["messages"])
assert(len(message.tool_calls) <= 1)
return {"messages": [message]}
graph_builder.add_node("chatbot", chatbot)
tool_node = ToolNode(tools=tools)
graph_builder.add_node("tools", tool_node)
graph_builder.add_conditional_edges(
"chatbot",
tools_condition,
)
graph_builder.add_edge("tools", "chatbot")
graph_builder.add_edge(START, "chatbot")
memory = MemorySaver()
graph = graph_builder.compile(checkpointer=memory)
def stream_graph_updates(user_input: str):
for event in graph.stream(
{"messages": [{"role": "user", "content": user_input}]},
config={"configurable": {"thread_id": "1"}},
):
for value in event.values():
print("Assistant:", value["messages"][-1].content)
if __name__ == "__main__":
while True:
try:
user_input = input("User: ")
if user_input.lower() in ["quit", "exit", "q"]:
print("Goodbye!")
break
stream_graph_updates(user_input)
except Exception as e:
raise e
break