Robots Center sits around your existing agent runtime. It issues service identities, resolves managed secrets, installs policy packs, records what the workflow actually did, and runs review-backed eval gates before a bad version reaches production.
What this app is
Robots Center is not a model host and not a general-purpose orchestration runtime. It is the operator layer around production agent systems: identity, policy, traces, replay, evals, approvals, and release controls.
Shipped control loop
Before execution
Tokens, grants, policies, approvals
Agents authenticate with scoped credentials, workflow targets resolve managed secrets, and policy packs define how tool access is approved.
During execution
Search, correlation, anomaly alerts, redacted payloads
Runtime, eval, and replay traces land in one data model with search across every surface, related-record pivots, failure clustering, completion-time anomaly windows, full grouped alert visibility, and operator-side payload redaction.
After execution
Shadow tests, review queues, incident-derived evals
Operators can replay a run, queue shadow or standard evals, review ambiguous results, and convert resolved incidents into reusable test cases.
Communication
Send transactional and bulk emails via SMTP directly from service agents. Bind the Email connector to Elixir Sales Agent for automated customer outreach with full trace tracking and delivery status.
Self-service onboarding
External agents can now register directly via POST /api/v1/register and receive a primary workspace API key for immediate access without a mandatory token-exchange step.
Policy packaging
Workflow targets can reference managed secrets instead of inline credentials, and operators can install built-in policy packs with connector recipes and setup guidance.
Runtime search
Operators can search traces, events, alerts, replays, and failure groups together, then pivot through related records keyed by trace, request, failure-group, and replay identifiers.
Learning loop
Failed or judge-based eval cases now enter a review queue, shadow runs compare candidate versions on production-shaped inputs, and resolved incidents can draft new eval cases.
Identity and policy
Robots Center gives each workspace a primary machine key and stands between your agents and external tools so risky actions are explicitly controlled.
Runtime visibility
The runtime surface records what happened, where it failed, which identifiers tie it back to production traffic, and how a replay differed from the original execution.
Release quality
Workflow targets, versions, suites, and runs live in the same app so operators can test before promotion instead of debugging after damage.
Built for production AI teams
From debugging failures to shipping with confidence, Robots Center handles the operational heavy lifting so your team can focus on building great agent experiences.
Production Debugging
Grouped failures surface recurring patterns instantly. Replay payloads against new versions. Timeline views show exactly where things went wrong.
Compliance & Audit
Approval queues with explicit reviewer routing. Full audit trails for SOC2 and GDPR. Custom RBAC roles for enterprise governance.
Release Confidence
Eval suites with rubric-backed cases. Shadow tests compare candidate versions. Review queues for ambiguous results. Pass rate gates for promotions.
Cost Optimization
Per-trace cost attribution. Compare prompt variants side-by-side. Find expensive paths through your agent workflows. Replay with cheaper models.
For AI agents
An agent or agent runtime does not need to be rewritten for Robots Center. It authenticates, asks for action decisions, reports execution traces, and can trigger replays or eval runs. Operators then use the console to review approvals, inspect failures, and decide whether a workflow version is safe to promote.
Agents send
Operators get
Shared execution pipeline
Before execution
Issue service-agent credentials, resolve managed secrets, install policy packs, and decide whether the next tool action is allowed, denied, or approval-gated.
During execution
Store prompts, tool calls, retries, outputs, failures, replay metadata, and correlation keys so traces, alerts, failures, and replays stay searchable together.
After execution
Queue replay variants, run eval suites and shadow tests, review hard cases, and turn resolved incidents into draft evals before a bad version reaches production.
Platform foundations already present
Beyond the three core surfaces, the application already ships shared platform capabilities. Some are operator-console screens and some are API- or worker-first foundations, but they are real implemented parts of the product and can be described without guessing.
Targets track environment assignments and promotion history across development, staging, and production.
Retention, export, deletion, and purge workflows are implemented with audit records and workspace settings.
SCIM provisioning, identity-provider records, and MFA-aware account data exist in the product surface today.
Webhook subscriptions, signing-secret rotation, and background delivery workers are already part of the platform.
Workspace memberships, reviewer roles, approval decision screens, and eval review queues support operator workflows, not just SDK ingestion.
Metrics, completion-time anomaly windows, full grouped alert inbox and API visibility, delivery routing, rate limiting, and operational health endpoints are implemented in product code.
Workflow target auth can now resolve provider-backed managed secrets, rotate them, and keep plaintext out of stored operator configuration.
Robot registration, monitoring, and heartbeats; full mission lifecycle with create, assign, track, and complete; real-time fleet events over WebSocket; OTA update scheduling and rollback; diagnostics and predictive maintenance alerts.
Observability records are indexed into one searchable operator surface with related-record pivots across traces, alerts, replays, and failure groups.
Resolved incidents can draft new eval cases, and shadow runs plus review workflows extend release validation beyond a single pass-rate number.
What teams are saying
"Robots Center cut our mean time to resolution from hours to minutes. The grouped failure view alone is worth it."
Platform Lead
agentplane.shop
"Finally, audit trails that make our compliance team happy. The approval workflow is exactly what we needed for production agent access."
Engineering Manager
aicacp.shop
"We shipped eval gates into CI in an afternoon. Shadow tests caught a regression that would have cost us thousands."
CTO
AI Startup
Integrations
Robots Center integrates with the tools you already use. Connect via API or use our SDKs.
Create a workspace in seconds. No credit card required. Start shipping with confidence today.
We can't find the internet
Attempting to reconnect
Something went wrong!
Attempting to reconnect