Langchain Debug Bundle

What it does

The langchain-debug-bundle skill provides tools for debugging LangChain applications. It allows you to inspect the intermediate steps and data flow within a LangChain chain or agent, making it easier to identify errors and understand how your application is behaving. This bundle includes components that output trace information and allow for detailed inspection of LLM calls and other operations.

When to use it

• Troubleshooting complex chains: When an agent isn't producing the expected results, this skill helps pinpoint exactly where the process is failing.
• Understanding data transformations: Inspect how data changes as it moves through a LangChain pipeline.
• Debugging LLM interactions: See the full prompt and response details for each interaction with a Large Language Model (LLM).
• Analyzing agent reasoning: Understand the steps an agent takes to arrive at a conclusion, especially in multi-step processes.

Key capabilities

• Trace generation: Creates detailed logs of chain execution.
• LLM call inspection: Provides visibility into prompts and responses sent to LLMs.
• Intermediate data output: Displays the values of variables at each step of a chain or agent's process.

Example prompts

• "Debug this LangChain chain, showing me all intermediate steps."
• "Show me the prompt and response for the last LLM call in this agent execution."
• "Trace the data flow through this memory object."

Tips & gotchas

• Requires a working LangChain application to debug. The skill is designed to be integrated into existing projects, not run standalone.