Debug, Optimize, and Control Your AI Agents
See exactly what your AI agents are doing, why they make decisions, and where they're burning tokens. Track performance, debug failures, and optimize costs - all from one dashboard.
Complete Observability & Control
Build production-ready AI agents with tools that actually help you ship. No more guessing why agents fail or wondering where your money went.
Experience AgentOps on larger screens
For the best experience with our AgentOps Dashboard, please view on a tablet or desktop device.
Complete Observability
Watch your agents think in real-time. See every decision they make, trace through their reasoning chains, and spot issues before they cost you money. When something breaks, you'll know exactly what went wrong and how to fix it.
Performance Monitoring
Decision Tracing
Real-time Agent States
Real-time Alerts
Widget-Based Dashboards
Drag-and-drop widgets to build your own monitoring view. Save layouts per team. We keep breaking the grid system accidentally (working on it).
7-Day Trace Retention
Compare traces from last week to debug regressions. Queries get slow after day 5 (we're optimizing the indexes).
Mobile Alerts (Beta)
Push notifications for critical errors. iOS only right now. Android version needs better battery optimization first.
Agent Lifecycle Management
Manage agents from prototype to production. Test changes safely, roll out updates without breaking things, and roll back when something goes wrong. Version control for AI agents that actually works.
Development Pipeline
Deployment Pipeline
Version Management
Performance Evolution
Canary Deployments
Route 5% of traffic to new versions first. Auto-rollback if error rates spike. Still tuning the thresholds (sometimes rolls back too aggressively).
Prompt Injection Detection
Runs regex patterns and ML classifiers on prompts before deployment. Catches ~89% of known attacks. False positives happen with creative writing agents.
A/B Version Testing
Run two versions simultaneously, compare outcomes. Statistical significance calculator included. Sample size recommendations sometimes too conservative.
Advanced Orchestration
Run multiple agents that actually work together. Route tasks to the right agent, balance loads automatically, and watch them collaborate without stepping on each other. Less manual coordination, more getting stuff done.
Active Workflows
Communication Patterns
Resource Allocation
Task Distribution
Least-Loaded Routing
Routes requests to least busy agents using token count + queue depth heuristic. Doesn't account for model speed differences yet (on roadmap).
YAML Workflow Builder
Define DAGs in YAML with conditional branching. Visual editor in beta (still buggy with complex loops). Most users just write YAML.
Webhook Integrations
HTTP webhooks for external tool calls. 5s timeout, retry with exponential backoff. OAuth2 coming soon (currently just API keys).
Reliable Guardrails & Governance
Set boundaries your agents can't cross. Check outputs before they reach users. Track who changed what and when. Keep agents safe without slowing them down.
Active Policies
Compliance Tracking
Guardrail Activity
Recent Audit Events
Custom Rules Engine
Write rules in Python using our SDK. Pattern matching, NER-based filters, cost caps. Runs in isolated sandbox (still had one security incident last month).
Real-time Monitoring Dashboard
See violations as they happen. Filter by severity, agent, time range. Export logs for compliance reports. CSV only right now (JSON export pending).
Multi-tenant Isolation
Policies per workspace. Agents can't access other tenants' data. Database-level row security. Working on adding org-level policies next quarter.
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