TRACE SUMMARY
run_8F3A2D
DECISIVE ERROR STEP
Debugger for multi-agent systems
See what broke. Replay the fix.
What changes
From a long trace to one defensible next move.
The diagnosis
Observability can show what happened. 404 AI follows the causal chain to the earliest step whose correction could change the outcome.
TRACE / 8F3A2D
See the agent, tool call, memory state, deviation, and downstream impact that support a suspected decisive step. The graph is the explanation, not another log view.
Inspect the workflow
How it works
A debugging workflow built for systems where one small reasoning step can shape everything downstream.
Bring in OpenTelemetry spans from LangGraph, CrewAI, or AutoGen without changing the workflow you are debugging.
span / tool_call / memoryAgent steps, tool calls, memory operations, and downstream effects become one Multi-Agent Cognitive Execution Graph.
MACEG / structureCounterfactual Causal Traversal backtracks to the earliest Decisive Error Step, then tests whether a correction changes the outcome.
CCT / DESSnapshot state at span boundaries and replay with controlled seeds, temperatures, and mocked tool outputs.
replay / controlledDeterministic control
Snapshot state at span boundaries. Reinject the same context. Change one variable. See whether the branch recovers.

State snapshots
at span boundaries
Controlled variables
seeds · temperatures · tool outputs
Counterfactual check
did the outcome change?
Evidence first
Move from broad inspection to a precise question: which step first put the run on the path to failure?
TRACE SUMMARY
run_8F3A2D
DECISIVE ERROR STEP
Start with the trace you already have
Instrument a workflow. Inspect the causal graph. Replay the branch that matters.
Start using 404 AI