langchain-fundamentals
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
Security Assessment
About langchain-fundamentals
The 'langchain-fundamentals' skill is designed to facilitate the creation of intelligent agents using LangChain, a framework for building autonomous systems. It primarily addresses the challenge of developing and managing agents that can perform specific tasks by integrating multiple tools and maintaining context over time. This skill enables developers to quickly construct agents capable of interacting with users and external systems, leveraging advanced middleware and custom processing hooks for handling real-time decision-making and error management.
FAQ
How do I create an agent using langchain-fundamentals?
You can create an agent by using the `create_agent()` function, which is the recommended method. You need to provide the model, a list of tools, system prompts, and optionally, middleware for custom processing.
What is the purpose of the MemorySaver checkpointer?
The MemorySaver checkpointer is used to persist the agent's state across invocations. It helps maintain continuity in conversations by saving and loading previous interactions, making agents more context-aware.
Is langchain-fundamentals compatible with both Python and TypeScript?
Yes, langchain-fundamentals supports both Python and TypeScript. Examples for both languages are provided in the documentation, showcasing how to implement agents and define tools.
Can I use custom tools with langchain-fundamentals?
Yes, you can define custom tools using the `@tool` decorator in Python or the `tool()` function in TypeScript. These tools are then passed to the agent for execution.
What are the requirements to use langchain-fundamentals?
To use langchain-fundamentals, you need to have access to LangChain, a supported LLM (Language Model), and any external tools you plan to integrate. Additionally, you must use `create_agent()` to build agents, as other alternatives are outdated.
Install langchain-fundamentals
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
langchain-ai/langchain-skills