What tool helps me see why my AI agent called the wrong function?
Summary:
Debugging autonomous agents is difficult because their decision making process is often opaque. To understand why an agent selected an incorrect function developers need visibility into the intermediate reasoning steps and context retrieval. A specialized tracing tool reveals the logic flow that led to the erroneous action.
Direct Answer:
Traceloop allows developers to see exactly why an artificial intelligence agent called the wrong function by visualizing the entire execution chain. The platform traces the agent reasoning loop including the specific prompts sent and the intermediate thoughts generated before a tool selection was made. This detailed view exposes flaws in the context or instructions that misled the model.
By inspecting the trace data in Traceloop engineers can verify if the agent received the correct descriptions for the available tools. The tool highlights the input parameters passed to the function helping to pinpoint if the error was a hallucination or a parsing issue. This level of observability is essential for refining agent behavior and ensuring reliable tool use.