Custom tool langchain. Jan 3, 2025 路 A key feature of LangChain is the ability to create custom tools that integrate seamlessly with your AI models, enabling enhanced capabilities tailored to your specific use case. Tools can be passed to chat models that support tool calling allowing the model to request the execution of a specific function with specific inputs. Custom agent This notebook goes through how to create your own custom agent. We will first create it WITHOUT memory, but we will then show how to add memory in. If your function requires multiple arguments, you can use the StructuredTool class or subclass the BaseTool class. Creating tools from functions @tool decorator This @tool decorator is the simplest way to define a custom tool. This is generally the most reliable way to create agents. Memory is needed to enable conversation. LangChain supports the creation of tools from: Functions; LangChain Runnables; By sub-classing from BaseTool -- This is the most flexible method, it provides the largest degree of control, at the expense of more effort and code. Besides the actual function that is called, the Tool consists of several components: name (str), is required and must be unique within a set of tools provided to an agent description (str), is optional but recommended, as it is used by an agent to determine tool use This chapter will explore how to build custom tools for agents in LangChain. g. Besides the actual function that is called, the Tool consists of several components: name (str), is required and must be unique within a set of tools provided to an agent description (str), is optional but recommended, as it is used by an agent to determine tool use args Nov 30, 2023 路 LangChain Custom tools are defined by the user to perform specific tasks or operations not provided by the native LangChain toolkit. If more configuration is needed-- e. Load the LLM First, let's load the language model we're going to Defining custom tools One option for creating a tool that runs custom code is to use a DynamicTool. Defining Custom Tools # When constructing your own agent, you will need to provide it with a list of Tools that it can use. Oct 29, 2024 路 By combining pre-built tools with custom features, we create an agent capable of delivering real-time, informative, and context-aware responses. We’ll start with a couple of simple tools to help us understand the typical tool building pattern before moving on to more complex tools using other ML models to give us even more abilities like describing images. The tool abstraction in LangChain associates a Python function with a schema that defines the function's name, description and expected arguments. This guide will walk you through some ways you can create custom tools. Creating tools from functions may be sufficient for most use cases, and can be done via a simple @tool decorator. The DynamicTool and DynamicStructuredTool classes takes as input a name, a description, and a function. . Learning Objectives Gain knowledge of the LangChain framework and its integration with Large Language Models and external tools. Tools empower agents to transcend their limitations, unlocking new dimensions of efficiency and innovation. , specification Sep 26, 2023 路 馃 Hello, To add a custom tool to your pandas dataframe agent in the LangChain framework, you can follow these steps: Define your custom tool function. This function should take a single string input and return a string output. Importantly, the name and the description will be used by the language model to determine when to call this function and with what parameters, so make sure to set these to some values the Aug 3, 2024 路 tool: This is a decorator provided by LangChain to define custom tools easily. It simplifies the process of turning functions into tools that can be used by an agent. While LangChain includes some prebuilt tools, it can often be more useful to use tools that use custom logic. In this example, we will use OpenAI Tool Calling to create this agent. Defining Custom Tools When constructing your own agent, you will need to provide it with a list of Tools that it can use. The decorator uses the function name as the tool name by default, but this can be overridden by passing a string as the first argument. bltx gpigngj uoyjtdui cplqq jzh jxuruzha zcvp voq mbruw azpj