Inspect agent execution snapshots and debug LLM calls via CLI.
npx skills add https://github.com/dodevproject/lobe-chat --skill agent-tracing
Please help me install this Agent Skill. Skill: agent-tracing Source: https://github.com/dodevproject/lobe-chat/tree/main/.agents/skills/agent-tracing Command: npx skills add https://github.com/dodevproject/lobe-chat --skill agent-tracing
This Skill provides a command-line interface to inspect and debug the execution of AI agents, allowing developers to understand LLM calls, context engine data, and agent steps.
Use the agent-tracing CLI to view the latest agent execution trace.
High-intent search queries and answers about installing and using this skill.
You can debug unexpected AI agent behavior by using a CLI tool to inspect execution snapshots, analyze context engine data, and review exact LLM prompts to identify the root cause of failures.
Tracing agent execution steps is best handled by analyzing detailed logs of agent operations via a command-line interface, allowing you to drill down into specific decision-making processes and tool interactions.
Yes, you need a Node.js environment to run the CLI and record agent execution snapshots for inspecting LLM interactions and troubleshooting execution failures.
Yes, you can examine the exact prompts sent to the LLM by inspecting detailed execution snapshots, which log agent operations and interactions to help you understand the processed data.
Agent tracing CLI failures often occur if the Node.js environment is not properly configured to record execution snapshots or if the agent execution lacks the necessary logging components for context engine data.
kingmacthRecord agent execution snapshots to disk and inspect traces via CLI.
manutejAnalyze LLM outputs to extract structured context in XML/JSON.
mabdulraufRecord per-step execution snapshots and inspect traces via a Node.js CLI.
andershi666Records and inspects agent execution snapshots, including messages, context, and tool calls, via CLI.
