See every decision your AI agents make.
Running AI agents without observability is flying blind. AstraGenie's built-in observability layer logs every agent action, decision, tool call, and handoff — so you always know exactly what your AI workforce is doing.
Why observability is non-negotiable for AI workflows.
AI agents are autonomous by design — that is the point. But autonomous does not mean opaque. Without observability, you cannot debug failures, audit decisions, prove compliance, or improve agent performance. Observability is the control layer that makes autonomy safe.
Debug agent failures
When a workflow breaks, you see exactly which agent failed, what input it received, and what decision it made. No guessing, no reproducing the issue from scratch.
Audit every decision
Every agent action is logged with a timestamp, input, output, and reasoning trace — ready for internal review or compliance audit. Nothing happens off the record.
Measure performance
Track task success rate, latency, cost per workflow, and error rate across every agent and every team. Know exactly which workflows pay back and which need tuning.
Improve continuously
Use real execution data to tune thresholds, adjust decision logic, and route edge cases — without rebuilding from scratch. The system gets better, the work does not stop.
What AstraGenie's observability layer tracks.
Agent task execution logs
Every step the agent took, every output it produced, in order, with timing.
Tool call traces
What APIs, CRMs, and databases were called — with the exact request, response, and latency.
Inter-agent handoff records
What one agent passed to the next, including the full payload and the reason for the handoff.
Decision traces
Why the agent chose a path. The reasoning is captured, not just the outcome.
Error and retry logs
What failed, how it recovered, and how many attempts each operation took before succeeding.
Cost and performance metrics
Time, tokens, and API calls per workflow — broken down by agent, by team, and by run.
Observability is how you scale AI agents confidently.
Most AI automation platforms are black boxes. You turn it on, something happens, you hope it is right. AstraGenie's observability layer was designed from day one to give operators full visibility — not because it is a nice-to-have, but because it is the only way to run mission-critical workflows on autopilot and actually trust the output.
Run AI agents you can actually trust.
See every decision they make.
Book a demo of the platform and we will walk you through the observability layer on a live workflow.