Langchain agents documentation example github. , runs the tool), and receives an observation.

Langchain agents documentation example github. Each module also has a studio subdirectory, with a set of relevant graphs that we will explore using the LangGraph API and Studio. A basic agent works in the following manner: Given a prompt an agent uses an LLM to request an action to take (e. You will be able to ask this agent questions, watch it call the search tool, and have conversations with it. A LangChain Academy accompanies each notebook to guide you through the topic. com Agents are systems that take a high-level task and use an LLM as a reasoning engine to decide what actions to take and execute those actions. It is equipped with a generic search tool. g. The code snippet below represents a fully functional agent that uses an LLM to decide which tools to use. , a tool to run). Jun 17, 2025 · In this tutorial we will build an agent that can interact with a search engine.