langchain-and-langgraph-agent-orchestration - Choose and build LangChain agent workflows
Guides choosing and implementing LangChain chains, AgentExecutor loops, and LangGraph workflows with branching, persistence, and human interrupts.
Tags
Updated: 2026-10-06Capabilities
What this skill does
- Choose workflow abstractions
- Build LCEL chains
- Configure AgentExecutor loops
- Model LangGraph state
- Add conditional branching
- Configure checkpoint persistence
- Add human interrupts
- Debug graph execution
Inputs
- Workflow control-flow requirements
- LLM provider configuration
- Tool definitions
- State schema
- Persistence requirements
- Human approval requirements
Outputs
- Architecture recommendations
- Agent workflow code
- Checkpointed state
- Paused execution status
- Resumed execution results
Requirements
- Python or JavaScript/TypeScript
- LangChain or LangGraph packages
- LLM provider integration package
- Configured tool access
- Checkpointer backend for persistence
