Service
AgentOps
Monitoring, safety guardrails, and lifecycle tools for AI agents running in production.
Operating agents in production
Building an agent demo is easy; keeping it running in production is hard. We provide the infrastructure needed to manage autonomous systems reliably—observability, evaluation, and safety—allowing teams to deploy agents with the same confidence as standard services.
- Telemetry: Full instrumentation for tool calls, token use, latency, and cost. We integrate with OpenTelemetry to provide clear visibility into every agent run.
- Evaluation: Regression tests for every deployment. We compare agent trajectories and outputs across model versions to ensure performance doesn't degrade.
- Guardrails: Safety layers that prevent prompt injection, restrict tool access, and filter PII. We include deterministic rules to escalate to human review when an agent is unsure.
- Lifecycle management: Tools for prompt versioning, reproducible runs, and one-click rollbacks. We treat agent logic as core infrastructure.
Operational standards
We instrument every agent before it goes live. No system is deployed without a monitoring dashboard, a rollback strategy, and passing regression tests.
- Observability: Track latency, cost, and success rates for every tool and agent, with full logs for auditing.
- Reliability: Support for canary and shadow deployments with automatic rollbacks if performance drops.
- Safety: Enforce strict policies, rate limits, and tool sandboxing to keep operations secure.