Cost, safety, and auditability for production LLM apps
Instrument once with the Ocelle SDK and get cost attribution, SDK-side safety, and full OpenTelemetry auditability: no proxy, no lock-in.
Three jobs, one OpenTelemetry-native SDK
Each pillar has its own deep-dive: the problem, the product, and the SDK snippet that powers it.
Cost
See cost by model, provider, service, and environment, and trace every dollar to the request, agent, or retry loop that caused it.
Explore CostSafety
SDK-side detection masks PII, secrets, and prompt-injection in your own runtime, before they reach the model, with no proxy in the path.
Explore SafetyAuditability
Full OpenTelemetry trace, metric, and log capture for every call: queryable evidence for debugging and compliance, with no lock-in.
Explore AuditabilityFrom two lines of SDK to live signal
Pick a job and see the snippet that powers it, and what it produces in FortifyRoot.
import fortifyroot.ocelle as ocelle
from openai import OpenAI
# Before running: export FORTIFYROOT_API_KEY="fr_sk_..."
ocelle.init(app_name="my-llm-app")
# Provider-SDK retries are detected as one retry chain, so the wasted
# cost of failed attempts is attributed back to this call.
client = OpenAI(max_retries=5)
client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "..."}],
)
# Cost by model / provider / service + retry waste now appear in FortifyRoot
The cost dashboard this produces in FortifyRoot
Make your GenAI predictable, safe, and auditable.
FortifyRoot is in early access. Request an invite, or get a free Cost & Safety Audit and we'll walk through it with you.