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I propose introducing a standardized project structure for LangGraph, similar to Django's approach, to help developers quickly understand and work with different projects more efficiently.
Proposal:
CLI Command for Project Creation:
Add a command like langgraph startproject [project_name] that generates a new project folder with essential files such as graph.py and state.py.
CLI Command for Node Creation:
A command, e.g., langgraph startnode [node_name], could create a folder named [node_name] with a main file containing a template function:
defnode_name(state):
pass
The developer would then fill in the logic for the node.
Workflow Integration (Optional Automation):
Optionally, this could be automated so the new node is automatically added to the workflow using workflow.add_node(node_name). However, leaving this as a manual step might give developers more control.
Standardization of Other Components:
Conditional edges, utility functions, and other workflow elements could also be standardized by establishing clear conventions for where and how to organize them. For example, designated folders for nodes, conditions, and other reusable components. This would provide clarity and uniformity across different projects.
Benefits:
Consistency across projects makes it easier for developers to navigate and contribute to different codebases.
Productivity is improved through faster onboarding and easier project understanding.
Collaboration benefits from a shared project structure and standardized practices.
Maintainability increases with a consistent approach, reducing project-specific quirks.
Additional Thoughts:
This idea was sketched out quickly, but with some refinement, it could become much more logical and practical, offering significant improvements for LangGraph development.
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Hello,
I propose introducing a standardized project structure for LangGraph, similar to Django's approach, to help developers quickly understand and work with different projects more efficiently.
Proposal:
CLI Command for Project Creation:
langgraph startproject [project_name]
that generates a new project folder with essential files such asgraph.py
andstate.py
.CLI Command for Node Creation:
A command, e.g.,
langgraph startnode [node_name]
, could create a folder named[node_name]
with a main file containing a template function:The developer would then fill in the logic for the node.
Workflow Integration (Optional Automation):
workflow.add_node(node_name)
. However, leaving this as a manual step might give developers more control.Standardization of Other Components:
Benefits:
Additional Thoughts:
This idea was sketched out quickly, but with some refinement, it could become much more logical and practical, offering significant improvements for LangGraph development.
Thank you for considering this!
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