PART OF THE ANTHUS PLATFORM
Caducus
- Observability
- Emerging
Caducus is an application-health and operator-assistance system that turns noisy operational events into prioritized issue patterns, alerts, and level-zero triage support.
What it is
Caducus is the beginning of an operator-agent layer for the Anthus Platform. It takes logs and operational events, clusters them into meaningful patterns, and surfaces a small radar of issues that matter now instead of forcing humans to dig through raw noise.
What it does
- Ingests events and demo datasets into a normalized operational view.
- Groups semantically related incidents into ranked issue patterns.
- Highlights recency, recurrence, and size so operators can triage effectively.
- Uses file-backed storage and semantic analysis components from the broader Anthus stack.
Why it matters
Reliable AI systems need the same thing every other production system needs: operators who can understand what is happening quickly. Caducus is about shortening that path from "something is wrong" to "this is the pattern worth investigating first."
How it fits the Anthus Platform
Caducus depends on Virtuus for storage and Biblicus concepts for semantic clustering and reinforcement memory. In the broader platform story, it represents the observability and operator-support layer that complements agent execution and MLOps.
A common pattern is Primus + Korporus + Caducus: govern the system, run it in a standard shell, and give operators a clearer picture of what is happening in production.
WHERE IT FITS
Where this fits in the Anthus Platform
Caducus is the operator-visibility layer. It helps Anthus services stay understandable after deployment.
Common combination
Example: add Caducus to a Korporus and Primus deployment when humans need to triage incidents and understand evolving agent behavior.