Agent Observability
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Agent Observability is the operational workspace for agent observability within assistant and agent operations, where teams manage concrete records, dependencies, and execution decisions rather than static summaries. The business and compliance goal is to keep logs, evals, hallucination tests aligned with approved claims, consent controls, market rules, and audit evidence at every step. This page presents role-scoped actions, linked downstream impacts, and policy-aware guardrails so users can work quickly without violating promotional or safety obligations. Next, use this agent observability workspace to execute governed tasks and route outcomes to connected teams.
Access Boundaries
SSO + RBAC/ABAC controls are evaluated by brand, market, function, agency zone, and risk tier before actions are enabled.
Operational Focus
- Inspect run latency and failure classes.
- Track hallucination test pass rates.
- Compare model behavior across roles.
What To Do Next
- Open failing test trace.
- Adjust policy guardrail.
- Approve model registry update.
Agent Observability Studio
Monitor agent logs, evaluation outcomes, hallucination tests, and model performance profiles.
| ID | Title | Market | Owner | Status | Risk | Related |
|---|---|---|---|---|---|---|
| AG-0001 | Agent Observability · Agent execution 1 | MX | Agent Ops | Blocked | High | Agent ObservabilityAssistant |
| AG-0002 | Agent Observability · Policy check 2 | SG | Human Reviewer | Escalated | Critical | Agent ObservabilityAssistant |
| AG-0003 | Agent Observability · Human approval 3 | US | Policy Admin | Draft | Low | Agent ObservabilityAssistant |
| AG-0004 | Agent Observability · Output routing 4 | CA | Agent Ops | In Review | Moderate | Agent ObservabilityAssistant |
| AG-0005 | Agent Observability · Agent execution 5 | UK | Human Reviewer | Approved | High | Agent ObservabilityAssistant |
| AG-0006 | Agent Observability · Policy check 6 | DE | Policy Admin | Active | Critical | Agent ObservabilityAssistant |
| AG-0007 | Agent Observability · Human approval 7 | FR | Agent Ops | Blocked | Low | Agent ObservabilityAssistant |
| AG-0008 | Agent Observability · Output routing 8 | IT | Human Reviewer | Escalated | Moderate | Agent ObservabilityAssistant |
| AG-0009 | Agent Observability · Agent execution 9 | ES | Policy Admin | Draft | High | Agent ObservabilityAssistant |
| AG-0010 | Agent Observability · Policy check 10 | JP | Agent Ops | In Review | Critical | Agent ObservabilityAssistant |
| AG-0011 | Agent Observability · Human approval 11 | AU | Human Reviewer | Approved | Low | Agent ObservabilityAssistant |
| AG-0012 | Agent Observability · Output routing 12 | BR | Policy Admin | Active | Moderate | Agent ObservabilityAssistant |
Page-Specific Data
Agent data captures deterministic steps, risk flags, human approvals, and routed outputs. Current page path: /agent-observability.
Relationship Graph
Linked entities are enabled so users can traverse parent-child dependencies and downstream impacts without manual lookup.
Agent Hub Tools
Execute deterministic agent workflow.
Evaluate risk flags and blocked actions.
Capture approval/reject decision and route output.
| Execution Step | Owner | ETA |
|---|---|---|
| Validate input | Ops | 5m |
| Policy checks | Compliance | 8m |
| Route next action | Workflow | 3m |
Governed Assistant Output
Grounding sources include approved claims, PI/SmPC requirements, references, strategy docs, and previously approved assets. Responses include citations, confidence, output classification, request-MLR CTA, and prompt-output audit logs.
Agent Hub
Model-agnostic registry, tool permissions, policy checks, and human-in-the-loop approvals are deterministic for local demo runs.
Model Registry
- mdl-gpt-enterprise · OpenAI · high
- mdl-claude-enterprise · Anthropic · high
- mdl-local-llama · Self-hosted · sandbox
Sample Run
Risk Flags: Missing fair balance in social template (resolved), off-label drift score 0.03 (pass), unapproved claim attempt blocked.
Human Approval Phase: Medical reviewer sign-off required before output release.
Final Artifact: Routed to `/mlr/queue` with note `Awaiting final promotional approval`.
Audit Entry: EVT-AI-2026-02-24-04122 recorded with tool permissions snapshot.
- AST-00431: HCP Efficacy Leave-behind v3
- CLM-0214: Primary endpoint response claim
- REF-0550: SmPC Section 4.8 safety reference
Agent Catalog
Governance Notes
- Every approval, publication, policy block, and AI output writes an audit event.
- Consent and frequency caps are evaluated before deployment packaging.
- Expiry and withdrawal controls maintain cross-channel evidence status.
- Safety routing is always flag-and-route with human adjudication.