Strategies for debugging agents with LangGraph Studio
Skills:
Tool Use & Function Calling90%
LangGraph Studio is useful for debugging agents. Here, we overview two workflows for debugging that often use with Studio: 1) isolation of errors to specific graph nodes and easily re-running nodes with code fixes. 2) setting breakpoints to pause the graph after specific nodes to review outputs and re-run the node w/ code changes to review variable outputs (e.g., in response to things like prompt changes).
Video notes:
https://mirror-feeling-d80.notion.site/Debugging-with-LangGraph-Studio-1c0808527b1780deacd3ed218423c040?pvs=4
Our tour of Studio, which serves as an introduction:
https://www.youtube.com/watch?v=T9qYg_WFfQo
Chapters -
0:00 - Introduction to Line Graph Studio
0:41 - Context and Feature Addition Goal
1:00 - Development Environment Setup
1:18 - Adding a New Feature
1:38 - Running and Debugging the Graph
2:00 - Error Analysis and Fix
2:30 - Rerunning from a Specific Node
3:34 - Setting Breakpoints for Improvement
4:10 - Iterative Prompt Improvement
5:00 - Completing the Graph Execution
5:13 - Summary of Debugging Workflows
6:06 - Conclusion
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Chapters (12)
Introduction to Line Graph Studio
0:41
Context and Feature Addition Goal
1:00
Development Environment Setup
1:18
Adding a New Feature
1:38
Running and Debugging the Graph
2:00
Error Analysis and Fix
2:30
Rerunning from a Specific Node
3:34
Setting Breakpoints for Improvement
4:10
Iterative Prompt Improvement
5:00
Completing the Graph Execution
5:13
Summary of Debugging Workflows
6:06
Conclusion
🎓
Tutor Explanation
DeepCamp AI