langsmith-fetch

The langsmith-fetch skill is designed to facilitate debugging for LangChain and LangGraph agents by fetching execution traces directly from LangSmith Studio. It addresses the common challenges faced by developers and data scientists when trying to understand the behavior of their agents, especially in scenarios where errors occur or performance issues arise. By providing an easy-to-use command-line interface, this skill allows users to quickly retrieve and analyze recent execution traces, enabling them to identify problems and optimize their agents' performance effectively.

With core workflows that cover quick debugging of recent activity, deep dives into specific traces, and the ability to export debug sessions, langsmith-fetch is a versatile tool for agent debugging. It automatically fetches recent traces, analyzes execution patterns, checks for errors, and reviews memory operations. The skill is particularly useful for developers working with AI agents who need to investigate failures, analyze tool calls, or check token usage for cost management. Overall, it streamlines the debugging process, making it more efficient and user-friendly.

Target users for this skill include developers, data scientists, and AI engineers who utilize LangChain and LangGraph frameworks. By integrating this skill into their workflows, users can ensure that their agents operate smoothly, thereby improving the reliability and performance of their AI applications. Whether it's for debugging, performance analysis, or error detection, langsmith-fetch serves as an essential tool in the AI developer's toolkit.