AI Agent Observability, Evaluation & Policy Enforcement
Enforce, not just observe. OpenTelemetry-native tracing with runtime policy enforcement, prompt registry & evals, cost attribution, and EU AI Act evidence.
Runtime Policy Enforcer
Observe, Enforce & Audit in Real Time
Explore how Agentis provides full visibility and active runtime control across your entire AI fleet.
How many AI agents are running right now?
Which agent generated the most LLM cost?
Did any agent expose customer data?
Did any agent use a restricted LLM model?
Is this prompt better than production?
Can you prove compliance?
$ agentis.init()
One Dashboard. Every Agent.
Stop switching between LangSmith, custom Grafana dashboards, and spreadsheets. Agentis gives you a single pane of glass for all your AI agents, regardless of framework.
Governance & Telemetry Console
Agent Registry Inventory
Live health, environment, executions & spend
| Agent Name | Status | Environment | Executions | Cost |
|---|---|---|---|---|
W Web Researcher | HEALTHY | production | 248 | $220.00 |
Z Zendesk Copilot | DEGRADED | staging | 27 | $12.00 |
S Stripe Risk Evaluator | CRITICAL | dev | 18 | $100.00 |
D Data Scientist GPT | HEALTHY | production | 30 | $13.00 |
S Shopify Support Bot | HEALTHY | staging | 20 | $7.00 |
Top Spenders (24h)
$1,250.45Model Mix
System Behavior
Stop toggling between tools.
Everything you need to observe, evaluate, govern and control your AI agents in production.
Unified Agent Registry
One source of truth for all agents across LangChain, CrewAI, and OpenAI Agents SDK. Track version, health, environment, and ownership — zero code changes.
End-to-End Tracing Waterfall
Full OpenTelemetry-native visibility into every LLM call, tool use, and agent decision.
Execution timeline & distributed span waterfall
Synthesized resolution response incorporating refund policy parameters.
Policy Monitoring & Hard Blocks
3-tier guardrail detection across explicit annotations, provider-native signals, and heuristics.
Interactive Guardrail & Policy Tester
Test how Agentis's runtime engine intercepts runaway agents and data leaks in real time
Click "Simulate Runtime Check" to trigger the policy evaluation engine.
Prompt Registry & Version Compare
Compare prompt wording side-by-side with latency, tokens, and benchmark pass rates before promoting.
Prompt Registry & Evals Compare
Prompt: support-reply (7 versions tracked)
"You are a helpful customer agent. Enforce max refund window of 30 days without exception."
"You are a helpful customer support agent. Handle refund disputes with flexibility."
One SDK. Every Framework.
Drop-in tracing for LangChain, CrewAI, OpenAI Agents SDK, AutoGen, and LlamaIndex.
import { Agent, Runner } from "@openai/agents";
import { agentis } from "agentis";
// Initialize Agentis automatic OpenTelemetry processor
agentis.init({
apiKey: process.env.AGENTIS_API_KEY,
environment: "production",
redactPii: true
});
const supportAgent = new Agent({
name: "Support Specialist",
model: "gpt-4o",
instructions: "Answer billing questions within policy limits.",
});
const result = await Runner.run(supportAgent, "Process refund for #4092");1. Autonomous Run
Multi-agent reasoning, tool invocations, & LLM completions.
2. Runtime Interceptor
Passive span-end inspection & 3-tier active guardrail gates.
3. Immutable Evidence
Integrity-hashed audit logs for EU AI Act & HIPAA readiness.
Why Teams Choose Agentis
The only tool that enforces, not just observes
Others alert you after the fact. Agentis’s policy engine hard-blocks agents mid-execution — stopping runaway costs, infinite loops, and PII leaks before they hit production.
Guardrail detection with zero runtime overhead
A passive span processor inspects every trace as it ends. Three detection tiers — explicit, provider-native, heuristic — with no changes to your agent code and zero added latency.
Cost totals that don’t lie at 10% sampling
Sampling cuts trace volume but your costs don’t scale with it. Agentis emits OTEL metrics for every LLM call independently — token and cost totals stay 100% accurate regardless of sample rate.
One registry, not locked to one SDK
LangSmith works best if you use LangChain. Agentis is OpenTelemetry-native — works across every framework today and every one you adopt next quarter. Switch in one afternoon with pip install agentis.
Security that enterprises trust
Built for teams that need observability, auditability, and governance at scale.
Enterprise Security
SOC 2 Type II certification in progress. Security controls designed for enterprise procurement.
PII Redaction (SDK)
Optional pattern-based masking before export via init(redact_pii=True). ML PII detection planned.
RBAC & Access Control
Granular role-based access control today. OIDC/SAML SSO on the enterprise roadmap.
Start building with Agentis today.
Choose your path to start tracing and monitoring your AI agents
Use SDK Locally
Open SourceExport traces to your own observability stack. Works with Jaeger, Grafana Tempo, Zipkin, SigNoz, and any OpenTelemetry backend.
- No account required
- OTLP standard export
- Full SDK control
Use Agentis Platform
Full PowerAccess the complete Agentis dashboard with agent-first governance, cost attribution, policy guardrails, and team collaboration.
- Policy guardrails
- Cost attribution
- Prompt registry & evals