Follow a run from start to finish
Instrument steps around retrieval, model calls, tools, and retries. When the workflow fails, inspect the reported history instead of starting with an unstructured chat transcript.
01 / OBSERVE
Agent monitoring with context.
Bring agent heartbeats, run histories, step traces, and reported usage into one operational view.
WHY IT MATTERS
A green process is only part of the story.
An agent can be online without delivering the work you expected. Keep its heartbeat, scheduled work, individual runs, and reported outcomes together so your team can ask the right question.
RUN HISTORY
Weekly research brief
Reported complete- Collect sources
- Reported
- Draft the brief
- Reported
- Human outcome review
- Awaiting review
An agent reports completion. Your team decides whether the result meets the brief.
Keep usage beside the work
Review token counts and costs when your integration supplies them. These are agent-reported figures, not a reconciled provider invoice or an enforced spending limit.
Retain your existing runtime
Your scripts and workers continue running in your environment. Use Python, Node.js, or outbound HTTP reporting to add visibility without moving execution into Toolcaise.
START WITH ONE WORKFLOW
Put your next run
under supervision.
Connect the agent you already run. Build confidence from the work you can actually review.