Crimson LangGraph Development Tools

A lightweight library for LangGraph that provides useful shortcuts and additional utility functions.

Installation

pip install crimson-langgraph-dev-tool

Overview

This library provides a set of tools and examples to make working with LangGraph easier and more efficient. It includes utility functions for visualization and a collection of examples demonstrating common patterns and use cases.

Modules

crimson.langgraph_dev_tool.display

This module contains functions for visualizing LangGraph objects:

• display_graph(graph): Renders a compiled state graph as a Mermaid diagram in Jupyter notebooks

Example usage:

from crimson.langgraph_dev_tool.display import display_graph
from langgraph.graph import StateGraph

# Create your graph
builder = StateGraph(State)
# Add nodes and edges
# ...
graph = builder.compile()

# Display the graph
display_graph(graph)

Examples

The repository includes several examples demonstrating the use of LangGraph in different scenarios:

Conditional Edge Examples

Located in example/langgraph/conditional_edge.ipynb

This example demonstrates how to use conditional edges in LangGraph to create dynamic branching logic based on state conditions. It covers:

• Basic conditional branching
• Using typed dictionaries for state management
• Creating functions that return a list of destinations
• Using RunnableLambda with conditional edges
• Adding listeners for debugging and monitoring

Highlights:

• Using route_chars function to conditionally route to multiple nodes
• Demonstrating the differences between using a Callable vs a Runnable for path selection
• Examples of advanced typehints and their usage in LangGraph

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.