AI applications in production face two critical risks:Documentation Index
Fetch the complete documentation index at: https://hydroxai.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
- Unpredictable agent behavior — AI agents can hallucinate, leak sensitive data, call unauthorized tools, or drift from their intended goals
- Harmful content generation — Models can produce toxic, biased, or policy-violating outputs that reach your end users
Monitoring
See everything. Track every AI request, response, tool call, token, cost, and error in real time. Trace multi-step agent workflows as span trees. Catch anomalies before they become incidents.
Firewall
Block threats. Validate every input and output against content safety policies. Block jailbreak attempts, prompt injection, PII leakage, and harmful content — before they reach your users.
Architecture
What you can protect against
| Threat | Monitoring detects | Firewall blocks |
|---|---|---|
| Jailbreak attempts | Logs the input for review | Blocks before reaching model |
| Prompt injection | Tracks anomalous inputs | Blocks injected instructions |
| PII leakage | Flags responses containing personal data | Blocks PII from being returned |
| Harmful content | Captures and categorizes output | Blocks toxic/hateful responses |
| Excessive agency | Traces all tool calls and agent steps | — |
| Cost spikes | Alerts on abnormal token usage | — |
| Latency degradation | Tracks TTFB and response times | — |
| Model errors | Captures error types and rates | — |
Getting started
Get your DSN and Firewall API key
From the Know Your AI dashboard:
- DSN: Settings → API Keys
- Firewall API key: Product → Firewall → Generate Key
Next steps
Real-time monitoring
Set up production monitoring with dashboards, tracing, and alerts.
Content firewall
Configure input/output validation and block harmful content.
Agent safety
Monitor and protect multi-step AI agent workflows.
Production recipes
Copy-paste recipes for common production setups.