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

Ciencia de Datos y ML

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

Acerca de

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.

Características Principales

Enforcement of Python 3.10+ requirements and TypedDict-only state schemas
Support for LangGraph Functional API entrypoint definitions and injectable parameters
0 GitHub stars
Automated migration guidance from deprecated prebuilts to LangChain v1 agent APIs
Detailed refactoring patterns for moving from MessageGraph to StateGraph architectures
Accurate import mapping for persistence modules including SQLite and Postgres checkpointers

Casos de Uso

Upgrading legacy LangGraph projects to v1 standards and Python 3.10+
Refactoring agentic loops to use the new LangChain v1 create_agent patterns
Building production-grade AI agents with persistent SQLite or Postgres state stores

Acerca de

Características Principales

Enforcement of Python 3.10+ requirements and TypedDict-only state schemas
Support for LangGraph Functional API entrypoint definitions and injectable parameters
0 GitHub stars
Automated migration guidance from deprecated prebuilts to LangChain v1 agent APIs
Detailed refactoring patterns for moving from MessageGraph to StateGraph architectures
Accurate import mapping for persistence modules including SQLite and Postgres checkpointers

Casos de Uso

Upgrading legacy LangGraph projects to v1 standards and Python 3.10+
Refactoring agentic loops to use the new LangChain v1 create_agent patterns
Building production-grade AI agents with persistent SQLite or Postgres state stores