Langchain Tool Decorator. For distinctions between each approach, we encourage you to referen
For distinctions between each approach, we encourage you to reference the official LangChain documentation. Using tools to return directly (使用工具直接返回) 8. 3 days ago · When building real-world agent systems, you often need more than the default agent pipeline. langchain. runnables import chain from langchain_openai import ChatOpenAI prompt1 = ChatPromptTemplate. However, not every complex task requires this approach — a single agent with the right (sometimes dynamic) tools and prompt can often achieve similar results. LLM Playground is a tool for testing and iterating on your prompts and model configurations, shortening the feedback loop and accelerating development. 1 day ago · Today, both LangChain and LangGraph rely on ad‑hoc PyTest patterns, manual mocks, and custom assertions. messages import ToolMessage def tool_node(state: dict): """Performs the tool call""" result = [] for tool_call in state["messages"][-1]. Using the @tool Decorator The quickest way to turn a regular Python function into a LangChain Tool is to add the @tool decorator.