What is the minimum Python version required?

LangGraph v1 requires Python 3.10 or higher. This skill will help ensure your code meets these environment standards.

Does it support database persistence?

Yes, it provides the correct import paths and installation guidance for SQLite and Postgres checkpointers used for persistent agent memory.

Does this skill support older versions of LangGraph?

This skill is specifically optimized for LangGraph v1.x and LangChain v1, focusing on modern import paths and the migration off deprecated prebuilts.

Can I use Pydantic models for state schemas?

In LangGraph v1 'create_agent' patterns, TypedDict-only state schemas are expected. This skill helps refactor Pydantic or dataclass schemas to comply with this requirement.

How does it handle agent migrations?

It provides specific instructions to replace deprecated components like 'create_react_agent' with the modern 'langchain.agents.create_agent' API.

LangGraph v1 & LangChain Assistant

Name: LangGraph v1 & LangChain Assistant
Author: westoncb

bywestoncb

0•

Data Science & ML

Facilitates the development and migration of Python-based AI agents using LangGraph v1 and LangChain v1 standards.

This skill provides specialized guidance for developers working with the LangGraph v1.x and LangChain v1 ecosystems in Python. It streamlines the transition from legacy patterns to modern Functional APIs, manages complex graph migrations (such as MessageGraph to StateGraph), and ensures correct import paths for persistence, checkpointing, and agent prebuilts. By enforcing Python 3.10+ standards and valid v1 syntax, it helps maintain robust, stateful AI workflows while avoiding deprecated components like legacy react agents or ToolNode wrappers.

Key Features

01Enforcement of Python 3.10+ requirements and TypedDict-only state schemas

02Support for LangGraph Functional API entrypoint definitions and injectable parameters

030 GitHub stars

04Automated migration guidance from deprecated prebuilts to LangChain v1 agent APIs

05Detailed refactoring patterns for moving from MessageGraph to StateGraph architectures

06Accurate import mapping for persistence modules including SQLite and Postgres checkpointers

Use Cases

01Upgrading legacy LangGraph projects to v1 standards and Python 3.10+

02Refactoring agentic loops to use the new LangChain v1 create_agent patterns

03Building production-grade AI agents with persistent SQLite or Postgres state stores

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add westoncb/lgraph-demo langchain

For use in Claude.ai and ChatGPT

Download Skill