Monitor and control AI agents in production.
AI Sage is the runtime control plane for production AI agents — helping teams detect drift, stop runaway executions, enforce policies, and debug failures.
Built for teams moving AI agents from demos to real workflows.
refund-agent-prod
productionAgent Health Overview · last 24h
Fallback rate rose from 1.1% to 4.6% over 12 minutes. Correlated with prompt version v42 → v43.
- Prompt version updated v42 → v4314:02
- Error rate climbed past threshold (2.5%)14:09
- Fallback spike — incident opened14:14
- Agent paused by operator14:16
- Safe fallback enabled · traffic stable14:17
AI agents do not fail like normal software.
Traditional logs and dashboards are not enough once agents can reason, call tools, spend tokens, and take action on behalf of your users.
Agents drift silently
Prompt changes, model updates, or context shifts can alter behavior without a clear deploy failure.
Agents can run away
Loops, retries, and repeated tool calls can burn tokens and budgets quickly.
Agents cross boundaries
Without runtime policies, agents may call the wrong tools, access the wrong data, or act outside approved limits.
Failures are hard to explain
Multi-step traces are noisy, fragmented, and hard to reconstruct during incidents.
Detect. Stop. Explain. Prevent.
AI Sage gives AI teams the operational layer they need after an agent goes live.
Detect
Detect drift, fallback spikes, cost anomalies, latency degradation, schema failures, and tool error patterns.
Stop
Pause an agent, force fallback, throttle traffic, or trigger spend caps before the issue spreads.
Explain
Reconstruct the full agent conversation with tool calls, prompt versions, model usage, latency, token cost, and policy decisions.
Prevent
Enforce governance policies across agents, users, workflows, and environments.
Everything your production agents need to stay under control.
Auto-Syncing Policy Engine
Define confidence thresholds, rate limits, spending caps, allowed tools, and fallback rules. Sync to live workflows and SDK-connected agents.
await sage.guard(async (ctx) => {
const reply = await agent.run(input);
ctx.assert.cost.below(0.4);
return reply;
});Active Intervention SDK
A lightweight JS/TS SDK that instruments execution, captures traces, checks policies, and blocks prohibited actions in real time.
Emergency Controls
One-click controls to pause an agent, force fallback, resume traffic, or apply temporary incident restrictions.
Drift & Degradation Radar
Track 7- and 30-day trends across confidence, latency, fallback rate, schema failures, tokens, and tool errors.
Correlation Timeline
See what changed before a failure. Correlate prompt edits, model switches, policy changes, deploy markers, and error spikes.
Conversation Story View
Reconstruct the entire user-agent interaction across prompts, tool calls, retries, fallbacks, latency, tokens, and final responses.
AI Root Cause Summary
Generate evidence-based failure summaries that explain the likely issue and recommend the next debugging step.
Cost Intelligence
Track tokens, model usage, cost per run, cost per agent, and spend velocity. Detect runaway usage early.
Agent-Level RBAC
Control who can view, edit, pause, configure, or deploy agents across environments.
Add a control plane without rebuilding your agents.
Connect your agent
Install the SDK or connect an n8n workflow.
Define policies
Set spend limits, tool permissions, fallback rules, confidence thresholds, and environment-specific controls.
Monitor and intervene
Watch health metrics, investigate traces, pause agents, force fallbacks, and resolve incidents from one dashboard.
import { AISage } from "@ai-sage/client"; const sage = new AISage({ agentId: "refund-agent-prod", apiKey: process.env.AI_SAGE_API_KEY, }); // guard a run with policies + tracing await sage.guard(async (ctx) => { const reply = await agent.run(input); ctx.assert.cost.below(0.4); return reply; });
Built for agents that can affect real workflows.
Customer Support Agents
Prevent bad replies, escalation failures, runaway conversations, and unauthorized refund actions.
Refund & Billing Agents
Enforce spend limits, approval thresholds, audit trails, and fallback rules.
Healthcare Workflow Agents
Monitor reliability, enforce safe operating boundaries, and reconstruct decisions for auditability.
Internal Ops Agents
Control tool access, detect workflow loops, and pause unsafe automations.
n8n AI Workflows
Sync policies directly into live workflow automation and detect breakages before they spread.
From incident to root cause in minutes.
A real failure walk-through: detect, intervene, investigate, and recover from a single workspace.
- Fallback rate spikes after a prompt edit.14:09
- AI Sage detects abnormal behavior.14:10
- Incident mode recommends action.14:11
- Operator clicks Pause Agent.14:12
- Correlation timeline shows prompt v43 deployed 14 min before spike.14:13
- Conversation Story View shows retrieval tool was skipped.14:14
- AI Sage suggests likely root cause.14:15
- Operator rolls back prompt and resumes agent.14:18
Roll back prompt to v42.
Prompt v43 removed the {{context}} block, causing the retrieval tool to be skipped in 87% of runs. Reverting restores expected behavior.
More than traces. Runtime control.
Designed for production environments.
Redaction controls
Mask sensitive fields before traces leave your runtime.
Audit logs
Every policy change, prompt change, emergency action, and access event is recorded.
Environment controls
Separate development, staging, and production agents.
Role-based access
Give teams the exact level of access they need.
Configurable fail behavior
Fail-closed for sensitive workflows or fail-open with alerts for availability-sensitive ones.
Retention controls
Configure trace retention by environment and risk level.
Track the signals that matter.
Start small. Scale into production.
For testing and early agent projects.
- 1 agent
- Basic traces
- Cost tracking
- Local / dev environment
- Community support
For teams running production agents.
- Up to 5 agents
- Runtime policies
- Pause agent
- Force fallback
- Drift alerts
- Conversation story view
- 30-day retention
For teams operating multiple agents.
- Up to 25 agents
- Advanced policies
- Correlation timeline
- AI root cause summaries
- Semantic search
- Audit logs
- Slack alerts
- 90-day retention
Need SSO, VPC, custom retention, or self-hosting? Talk to sales →
Common questions.
Give your AI agents a control plane before they reach production.
Detect failures, stop runaway behavior, enforce policies, and debug incidents from one modern platform.
Built for teams that need AI agents to be reliable, governable, and safe.