AI reliability control plane
Know when your AI breaks—before your users do.
Reliai detects AI regressions, explains root causes, and applies guardrails to protect production systems.
Install
pip install reliaiUsed to protect production AI systems
System health
92 / 100
Reliability score with one active incident under control.
Incident detection
1
Retrieval latency regression opened automatically.
Recommended action
Enable retry policy
Suggested guardrail for the retrieval stage.
Failure story
AI systems fail in ways traditional observability tools cannot detect.
A prompt update introduced hallucinated responses. Reliai detected the regression, opened an incident, explained the likely cause, and recommended a guardrail before users noticed.
Prompt update deployed
A new support prompt expanded context and changed response behavior.
Hallucination spike detected
Reliability signals caught an increase in unsupported policy references.
Incident opened automatically
Reliai grouped the regression, linked traces, and attached the likely change window.
Guardrail recommended
Structured output validation was recommended before the issue reached users.
What the operator sees
Reliability score, active incident, and recommended guardrail in one view.
The screenshot stays focused on the signals that matter first: system health, detected failure, and the next mitigation step.
System Status
The primary control surface for reliability score, incidents, and operator next steps.
Incident Command Center
Root-cause signals, mitigation guidance, and response context for live incidents.
Interactive demo
Walk the operator workflow in under five minutes.
Start at system status, open the incident, inspect the trace graph, and finish at the mitigation point.
01
Start at the control panel
Operators answer the first question immediately: Is my AI system safe right now?
02
Open the incident
Reliai turns regressions into incidents with linked traces, deployment windows, and candidate causes.
03
Inspect the trace graph
Execution graphs make the failing stage visible across retrieval, prompt build, model, tool, and guardrail spans.
04
Mitigate before blast radius expands
Recommended guardrails and deployment gates give the operator a concrete next action.
Control Panel
Reliability score, active incident load, and the next operator action in one surface.
Incident Command Center
Root-cause signals, mitigation guidance, and remediation context for live incident response.
Trace Graph
Execution graph for retrieval, prompt build, model call, tool execution, and post-processing spans.
Playground
Paste a prompt. See the execution path immediately.
The playground is the fastest way to understand Reliai. Run a request, inspect the trace graph, and see how the control plane would analyze the system.
What engineers see
Prompt input
Trace graph
Reliability signals
The playground is the fastest path to product understanding for engineers evaluating the control plane.
The Reliai loop
Reliai runs a continuous reliability loop around production AI systems.
Step 1
Trace
Step 2
Detect
Step 3
Investigate
Step 4
Mitigate
Step 5
Prevent
Architecture in motion
Four operator workflows take the system from telemetry to protection.
Instrument
SDKs capture traces and pipeline spans across retrieval, prompt construction, model calls, and guardrails.
Detect
Reliai identifies reliability regressions, runtime failures, and risky deployment changes before users notice them.
Investigate
Trace graphs, incident analysis, and replay flows reveal what changed, where the system failed, and why.
Protect
Guardrails and deployment gates keep known failure modes from reaching production users.
Install Reliai in 60 seconds
Install Reliai in 60 seconds
Add reliability protection to your AI system with one SDK.
pip install reliai
import reliai
reliai.init(
api_key="YOUR_API_KEY"
)
with reliai.span("llm_call"):
response = client.chat.completions.create(...)Architecture
The control plane sits between the AI system and the production operator.
Stage 1
AI Application
Stage 2
Reliai SDK
Stage 3
Reliai Control Plane
Stage 4
Operators
Run your AI systems with reliability
Make reliability visible before failures hit users.
Reliai gives operators one control plane for tracing, detection, investigation, deployment safety, and runtime protection.