PHANTOMTRACE: Finding the Ghosts Inside AI Agent Execution Traces 👻

说明与用途

PHANTOMTRACE 让开发者快速识别并理解 AI 代理执行跟踪中的问题模式，提升调试透明度。

问题

AI agents often repeat actions, encounter errors, or retry failed operations, making raw execution logs hard to interpret.

结果

PHANTOMTRACE enables developers to quickly identify and understand problematic patterns in AI agent execution traces, improving debugging transparency.

工作流

• 1. Collect AI agent execution logs in JSONL format.
• 2. Run PHANTOMTRACE to parse and analyze the logs.
• 3. Detect patterns such as repeated tool calls, multiple failures, and immediate retries using Python rules.
• 4. Visualize the results in a Streamlit dashboard with Plotly charts.
• 5. (Optional) Use a local Ollama/Gemma 3 1B model to generate explanations for detected patterns.

证据

PHANTOMTRACE helps developers investigate these execution traces and identify suspicious patterns.

来源

It identifies patterns such as: Repeated tool calls. Multiple failed operations. Immediate retries after failures.

来源