agent-debugger-cli

To download and analyze Langfuse traces for agent debugging, use the agent-debugger-cli to fetch traces by project and trace ID. This requires Python 3.9+, pip, local shell access, and optional network access for Langfuse trace retrieval.

Agent trace quality assessment is the process of running checks on Langfuse traces to identify issues in agent interactions. It improves LLM workflows by pinpointing configuration errors and performance bottlenecks for optimization.

Configure LLM settings for an agent debugger by managing the environment variables using python-dotenv and adjusting parameters in pyyaml configuration files. This setup streamlines the process for debugging and improving agent performance.

Yes, you need Python 3.9 or higher to run agent trace analysis and quality checks. The process also requires pip for installing dependencies like nexau, langfuse, requests, and pyyaml within your local shell environment.

The best way to identify issues in an agent's interaction trace is to run quality checks using the agent-debugger-cli. This analyzes the downloaded Langfuse trace data to detect anomalies and areas for agent optimization.

Your agent debugger CLI may fail to download Langfuse traces if network access is restricted or if LLM configuration and environment variables are incorrect. Ensure Python 3.9+ and dependencies like requests are properly installed.