See every decision your agent makes—replay executions, inspect inputs and outputs at each node, and compare runs so prompt and tool fixes are evidence-based, not speculative.
Reconstruct the exact sequence of model calls and tool invocations instead of rebuilding conversations from scattered logs.
Open any node to read prompts, completions, retrieved context, and errors. Find the one bad retrieval or malformed tool args in seconds.
Compare runs after a prompt or model change. Diff behavior across traces, not just final answers, so regressions are obvious.
Complex agents are graphs, not straight lines. Render branches, loops, and parallel tool calls so debugging matches how your code runs.

The bug is rarely only in the final answer. Inspect what the model saw and what it returned at each step.

Ship prompt tweaks with confidence: compare traces across runs and identify where behavior diverged.
