See what your AI agents are actually doing — in production.
A unified observability layer for LLM agents: traces, evals, cost, drift, and safety — wired into your existing SRE and SIEM stack.
Built for enterprise outcomes — not just demos.
Every engagement comes with the governance, observability, and senior delivery muscle that production AI actually requires.
Open standards, no lock-in
OpenTelemetry-first instrumentation that plugs into the tools you already run.
Quality you can alert on
Online evals turn fuzzy LLM quality into pageable, threshold-based signals.
Cost & safety, side by side
Per-tenant cost attribution alongside toxicity, PII, and jailbreak monitors.
Every signal your AI stack should be emitting.
Trace & Spans
End-to-end OpenTelemetry tracing across LLM, tool, and retrieval calls.
Online Evals
Live quality scoring on a sampled % of production traffic.
Cost & Token Telemetry
Per-tenant, per-feature, per-model cost attribution.
Drift Detection
Input distribution, embedding, and output-quality drift.
Safety Monitors
Toxicity, PII leakage, jailbreak, and prompt-injection alerts.
User Feedback Loop
Thumbs, edits, and implicit signals piped into eval sets.
What you walk away with.
Concrete, owned-by-you artifacts — not slideware.
Instrumented agent stack
OpenTelemetry traces across every LLM, tool, and retrieval call.
Online eval pipeline
Live quality scoring on sampled production traffic with alert thresholds.
Cost & token dashboards
Per-tenant, per-feature, per-model attribution — finance-ready.
Drift & safety monitors
Distribution, embedding, toxicity, PII, and jailbreak alerts.
SIEM & PagerDuty integration
Signals routed into the channels your on-call already watches.
Feedback-to-dataset loop
User signals automatically pipelined into your eval and training sets.
Opinionated where it matters. Composable everywhere else.
# devappsit.observability-stack.yaml tracing: OpenTelemetry · OpenLLMetry · Langfuse · Arize metrics: Prometheus · Grafana · Datadog online-evals: Ragas · LLM-as-judge · custom rubrics drift: Evidently · WhyLabs · embedding-shift monitors safety: Guardrails AI · Lakera · PII & toxicity classifiers routing: SIEM streaming · PagerDuty · Slack · webhook fan-out
Flexible commercial models for every stage.
From early discovery to long-running managed service — pick the model that matches your procurement and risk appetite.
Time & Materials
Senior engineers billed by day or sprint. Maximum flexibility.
Fixed-Scope Delivery
Defined outcome, fixed price, fixed timeline.
Outcome-Based Pod
Dedicated pod tied to measurable business outcomes.
Retainer / Managed
Ongoing capacity for run-the-business AI work.
Stop flying blind in production.
Book a demo to see traces, evals, cost, and safety for AI agents — wired into your existing SRE stack.