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Agentic Ops
Operate multi-step agent workflows with policy enforcement and runtime reliability controls built in.
Execution graph control
Trace each tool request, policy check, and model handoff as one coherent run with shared context.
- Example: Agent run shows tool requests with input/output logging
- Example: Policy checks displayed with pass/fail status and reasoning
- Example: Model handoffs tracked with context preservation details
Runtime governance
Combine permission boundaries, policy packs, and fallback automation to keep agent workflows safe at scale.
- Example: Permission boundaries enforced at each tool invocation
- Example: Policy packs applied consistently across all agent runs
- Example: Fallback automation triggered when primary workflows fail
Run health scoring
Continuous evaluation of agent execution health and reliability.
- Latency metrics: Response time analysis for each step
- Error rates: Failure tracking across tool invocations
- Policy compliance: Guardrail adherence monitoring
- Context preservation: Data consistency validation
- Resource usage: Token and compute consumption tracking
Tool-call governance
Fine-grained control over agent tool usage and permissions.
- Pre-approval requirements: Mandatory review for sensitive tools
- Context validation: Input/output safety checks
- Rate limiting: Usage quotas and throttling
- Audit trails: Complete logs of all tool invocations
- Fallback mechanisms: Alternative tools for failed operations
Human override points
Strategic intervention opportunities in agent workflows.
- Approval gates: Manual sign-off for critical decisions
- Exception handling: Human review of policy violations
- Context enrichment: Additional information for complex scenarios
- Workflow modification: Dynamic adjustment of execution paths
- Escalation procedures: Hierarchical review processes
Execution replay and review
Post-execution analysis and debugging capabilities.
- Step-by-step replay: Detailed reconstruction of agent runs
- Policy evaluation: Retrospective guardrail analysis
- Performance metrics: Latency and resource usage breakdown
- Context inspection: Data flow and state examination
- Comparative analysis: Side-by-side run comparisons
SLA policy matrix
Service level agreements for agent operations.
- Response time targets: Maximum latency for agent executions
- Success rate requirements: Minimum completion percentages
- Policy compliance levels: Guardrail adherence expectations
- Fallback activation thresholds: Conditions for failover triggering
- Notification requirements: Alerting for SLA violations