Implement LangGraph error handling with current v1 patterns. Use when users need to classify failures, add RetryPolicy for transient issues, build LLM recovery loops with Command routing, add human-in-the-loop with interrupt()/resume, handle ToolNode errors, or choose a safe strategy between retry, recovery, and escalation.
Quickly install langgraph-error-handling AI skill to your development environment via command line
Source: lubu-labs/langchain-agent-skills.
| Transient | System | RetryPolicy | | LLM-recoverable | LLM | State update + Command(goto=...) | | User-fixable | Human | interrupt() + Command(resume=...) | | Unexpected | Developer | Raise/log/debug |
Use custom handlers when you need deterministic error shaping for model recovery. For broader tool-recovery design, load references/llm-recovery.md.
| interrupt() fails at runtime | no checkpointer | compile with checkpointer | | Resume starts new run | different threadid | reuse same threadid | | JS Command route not taken | missing ends | add ends to addNode | | Infinite loop | no termination counter/condition | add retry counter + terminal branch |
Implement LangGraph error handling with current v1 patterns. Use when users need to classify failures, add RetryPolicy for transient issues, build LLM recovery loops with Command routing, add human-in-the-loop with interrupt()/resume, handle ToolNode errors, or choose a safe strategy between retry, recovery, and escalation. Source: lubu-labs/langchain-agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/lubu-labs/langchain-agent-skills --skill langgraph-error-handlingImplement LangGraph error handling with current v1 patterns. Use when users need to classify failures, add RetryPolicy for transient issues, build LLM recovery loops with Command routing, add human-in-the-loop with interrupt()/resume, handle ToolNode errors, or choose a safe strategy between retry, recovery, and escalation. Source: lubu-labs/langchain-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lubu-labs/langchain-agent-skills --skill langgraph-error-handling Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/lubu-labs/langchain-agent-skills