Ship Reliable AI Agents.
Every Time.
Trace every node, evaluate every change, monitor production health, and catch regressions before users do.
Built for teams shipping agents to production.
One integration. Every framework.
Dedicated landing pages for the stacks teams actually use — instrument without rewrites.
Trace. Evaluate. Monitor.
Three production disciplines that turn opaque agent behavior into a system your team can operate.
1. Trace every run
Wrap your agent once and capture nodes, tools, state, latency, and failure details.
2. Evaluate in CI
Run golden datasets in CI and stop regressions before they reach production.
3. Monitor production
Watch health, drift, latency, and alerts after your agents are live.
Everything in the CortexOps console.
From overview to API keys — the product surface teams use day to day at app.getcortexops.com.
Overview
Project health, live status, and the signals that matter first.
Projects
Organize agents by project with isolated keys and retention.
Traces
Node waterfall, tool calls, latency, and failure context.
Evaluations
Golden datasets, pass rates, regressions, and judge scores.
Prompt Versions
Track prompt changes against evals and roll back safely.
Datasets
Versioned golden cases for CI and local eval runs.
Metrics
Task completion, latency, error rate, and drift over time.
Alerts
Route quality drops, timeouts, and anomalies to your channels.
API Keys
Create, rotate, and revoke keys with least privilege.
Usage
Understand volume and plan limits without surprise bills.
Settings
Projects, retention, integrations, and team preferences.
Here is why every AI engineering team needs CortexOps.
Trace Explorer
Full agent waterfall with nodes, tools, branches, latency, state, and failure context.
Evaluation
LLM-as-judge scoring, golden datasets, pass rates, and semantic quality checks.
Monitoring
Production health, latency, drift, anomaly, and cost signals in one view.
Prompt Version
Connect prompt changes to evals and traces so teams can roll back regressions.
CI/CD Gates
GitHub Actions-ready eval gates that fail builds when quality drops.
Alerts
Route failures, drift, latency spikes, and quality drops to your team channels.
| Capability | CortexOps | LangSmith | Langfuse | Arize Phoenix |
|---|---|---|---|---|
| Agent execution tracing | Full waterfall | LangChain focused | LLM calls | Span tree |
| Framework support | 12 frameworks | LangChain | Via SDK | Several |
| CI/CD eval gate | First-class CLI | Partial | Manual | Scripted |
| Open source | MIT | No | Yes | Elastic v2 |
| Production alerts | Quality, drift, latency | Limited | Limited | Yes |
Start free. Scale when you are ready.
Free
For side projects and evaluation.
- Core tracing
- Local eval runs
- Python SDK
- Community support
Pro
For teams shipping agents to production.
- Unlimited traces
- LLM-as-judge evals
- Drift monitoring
- GitHub Actions gates
- Priority support
Enterprise
For compliance, scale, and private deployment.
- Everything in Pro
- SSO / SAML
- VPC or self-hosted deploy
- Dedicated support
Questions, answered.
Which frameworks do you support?
How is this different from LangSmith or Langfuse?
Can we self-host?
Does it work in CI?
Where is the live dashboard?
Ship agents you can trust.
Developers love demos. Start with the live preview, then connect your first project when you are ready.