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| """LangGraph Agent""" | |
| import os | |
| from dotenv import load_dotenv | |
| from langgraph.graph import START, StateGraph, MessagesState | |
| from langgraph.prebuilt import tools_condition | |
| from langgraph.prebuilt import ToolNode | |
| from langchain_community.tools.tavily_search import TavilySearchResults | |
| from langchain_community.document_loaders import WikipediaLoader | |
| from langchain_core.messages import HumanMessage | |
| from langchain_core.tools import tool | |
| from langchain_mistralai import ChatMistralAI | |
| from langchain_groq import ChatGroq | |
| load_dotenv() | |
| def web_search(query: str) -> str: | |
| """Search Tavily for a query and return maximum 3 results. | |
| Args: | |
| query: The search query.""" | |
| search_docs = TavilySearchResults(max_results=3).invoke(input=query) | |
| formatted_search_docs = "\n\n---\n\n".join( | |
| [ | |
| f'<Document source="{doc["title"]}" page="{doc.get("url", "")}"/>\n{doc["content"]}\n</Document>' | |
| for doc in search_docs | |
| ]) | |
| return {"web_results": formatted_search_docs} | |
| def wiki_search(query: str) -> str: | |
| """Search Wikipedia for a query and return maximum 2 results. | |
| Args: | |
| query: The search query.""" | |
| search_docs = WikipediaLoader(query=query, load_max_docs=2).load() | |
| formatted_search_docs = "\n\n---\n\n".join( | |
| [ | |
| f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>' | |
| for doc in search_docs | |
| ]) | |
| return {"wiki_results": formatted_search_docs} | |
| def multiply(a: int, b: int) -> int: | |
| """Multiply two numbers. | |
| Args: | |
| a: first int | |
| b: second int | |
| """ | |
| return a * b | |
| def add(a: int, b: int) -> int: | |
| """Add two numbers. | |
| Args: | |
| a: first int | |
| b: second int | |
| """ | |
| return a + b | |
| def subtract(a: int, b: int) -> int: | |
| """Subtract two numbers. | |
| Args: | |
| a: first int | |
| b: second int | |
| """ | |
| return a - b | |
| def divide(a: int, b: int) -> int: | |
| """Divide two numbers. | |
| Args: | |
| a: first int | |
| b: second int | |
| """ | |
| if b == 0: | |
| raise ValueError("Cannot divide by zero.") | |
| return a / b | |
| def modulus(a: int, b: int) -> int: | |
| """Get the modulus of two numbers. | |
| Args: | |
| a: first int | |
| b: second int | |
| """ | |
| return a % b | |
| tools = [ | |
| multiply, | |
| add, | |
| subtract, | |
| divide, | |
| modulus, | |
| wiki_search, | |
| web_search, | |
| ] | |
| def build_graph(): | |
| '''llm = ChatMistralAI( | |
| model="magistral-small-2506", | |
| temperature=0, | |
| max_retries=2, | |
| )''' | |
| llm = ChatGroq(model="qwen-qwq-32b", temperature=0) # optional : qwen-qwq-32b gemma2-9b-it | |
| llm_with_tools = llm.bind_tools(tools) | |
| # Node | |
| def assistant(state: MessagesState): | |
| """Assistant node""" | |
| return {"messages": [llm_with_tools.invoke(state["messages"])]} | |
| builder = StateGraph(MessagesState) | |
| builder.add_node("assistant", assistant) | |
| builder.add_node("tools", ToolNode(tools)) | |
| builder.add_edge(START, "assistant") | |
| builder.add_conditional_edges( | |
| "assistant", | |
| tools_condition, | |
| ) | |
| builder.add_edge("tools", "assistant") | |
| # Compile graph | |
| return builder.compile() | |
| if __name__=="__main__": | |
| #system_prompt = "You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string." | |
| system_prompt = "You are a general AI assistant. I will ask you a question. Give your answer with the following template: only show your final answer. Your final answer should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string." | |
| question = "when was the Eiffel tower built?" | |
| question = f"{system_prompt} \ | |
| The question: \ | |
| {question} \ | |
| " | |
| graph = build_graph() | |
| messages = [HumanMessage(content=question)] | |
| messages = graph.invoke({"messages": messages}) | |
| for m in messages["messages"]: | |
| m.pretty_print() | |