langgraph-checkpointing

What problem does it solve?

Long-running or human-in-the-loop LangGraph workflows require state persistence to resume after interruptions or for review, which can be complex to implement correctly. This skill guides you in implementing robust state persistence and checkpointing for resumable LangGraph workflows.

Core Features & Use Cases

• Flexible Checkpointer Types: Supports MemorySaver for development, SqliteSaver for local persistence, and PostgresSaver for production-grade state storage.
• Thread Management: Guides in using unique thread_id patterns for managing separate conversations and resuming specific workflows.
• Human-in-the-Loop Integration: Facilitates pausing workflows at specific nodes for human review and resuming upon approval.
• Use Case: When building a human-in-the-loop approval workflow, use this skill to configure checkpointing. It will help you set up PostgresSaver for production, define a unique thread_id for each approval process, and configure interrupt_before a human review node, allowing the workflow to pause and resume seamlessly.

Quick Start

Set up SqliteSaver for local checkpointing in my LangGraph workflow. Then, demonstrate how to run a workflow with a unique thread_id and retrieve its state after an invocation.