Why it matters
Live trace improves diagnosis, governance and user confidence.
Architecture position
Expose stage, evidence source, tool call, policy decision, latency and failure state without leaking secrets.
Under research
Agent execution traceability
Users cannot trust an agent when they cannot see what it is doing, waiting for or failing on.
Evidence or hypothesis
Recurring need observed in agent workflow and telemetry design.
Related publication
Governed AI operating layer
Related engineering exploration
CapAI Agent Hub
Next intended output
Define a vendor-neutral trace schema.
Evidence, limitations and next validation.
- Hypothesis
- Expose stage, evidence source, tool call, policy decision, latency and failure state without leaking secrets.
- Method
- Public architecture synthesis from approved website evidence, implementation lessons and publication metadata; not a private-client data study.
- Evidence
- Recurring need observed in agent workflow and telemetry design.
- Result
- Under research
- Limitations
- Preliminary research unless a page explicitly states otherwise; private SAP system evidence and client-specific outcomes are not published.
- What it proves
- Recurring need observed in agent workflow and telemetry design.
- What it does not prove
- It does not prove universal effectiveness, SAP certification, live production performance or private landscape readiness.
- Next validation
- Define a vendor-neutral trace schema.
Related