langgraph-routing

From babysitter

411

Description

Conditional edge routing and state-based transitions for LangGraph workflows

AI Summary

Creates conditional routing logic and state-based transitions for LangGraph workflows.

Install

Run in your terminal

npx claudepluginhub a5c-ai/babysitter

Tool Access

This skill is limited to using the following tools:

ReadWriteEditBashGlobGrep

Supporting Assets

View in Repository

README.md

Skill Content

LangGraph Routing Skill

Capabilities

Design conditional edge routing in LangGraph
Implement state-based transition logic
Create dynamic routing functions
Handle multi-path workflow branches
Implement router nodes for complex decisions
Design fallback and error routing paths

Target Processes

langgraph-workflow-design
plan-and-execute-agent

Implementation Details

Routing Patterns

Conditional Edges: add_conditional_edges with routing functions
Router Nodes: Dedicated nodes for routing decisions
State-Based Routing: Routing based on state values
LLM-Based Routing: Using LLM to determine next node

Configuration Options

Routing function definitions
Path mapping configurations
Default/fallback routes
Cycle detection settings
Max iteration limits

Best Practices

Clear routing logic documentation
Handle all possible states
Implement fallback paths
Avoid infinite cycles
Use descriptive edge names

Dependencies

langgraph

Links

GitHub Stats

21 forks

Updated 1 month ago

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