Every LLM request
is a liability.
Every LLM call can send data outside your system and influence a production workflow. Without enforcement, it is hard to control what leaves, what runs, or what gets logged. Olyx puts policy checks in the request path before the model call executes.
Limited seats available. Works with your existing API — no rewrite required.
Calling LLMs directly is uncontrolled execution.
Direct model calls bypass enforcement entirely. Data is sent, decisions are made, and costs accrue without a control point. Most teams only discover this after something breaks.
Sensitive data is sent to external models without deterministic filtering.
No complete record of what was sent, returned, or how decisions were made.
Requests continue even when safeguards fail or are bypassed.
Costs grow unpredictably without routing or hard limits.
LLMs are crossing into production.
What used to be experimental is now handling real users, real data, and real revenue. The architecture hasn’t caught up.
LLMs are no longer demos — they power workflows, agents, and user-facing features.
Customer data, financial data, and internal logic are now sent to external models.
A bad response is no longer a bug — it can trigger cost spikes, leaks, or outages.
There is still no default infrastructure to enforce safety, routing, and auditability.
The shift is simple: LLM calls now influence production systems.
And infrastructure needs enforcement points — not best-effort logging.
Enforcement in the execution path.
Olyx sits directly between your application and every model provider. Requests you route through Olyx are validated, routed, and recorded before provider execution.
Route your existing API client through Olyx by changing the base URL. No request logic changes, no SDK lock-in.
client = OpenAI(
api_key="...",
base_url="https://olyx.ai/v1"
)
Set data scrubbing rules, routing tiers, and hard cost limits. Policies are enforced before any external call is made.
Every routed request is validated and logged with full trace visibility — or blocked if it violates policy.
PII and sensitive fields are removed or masked before any model sees the request.
Every input, output, cost, and routing decision is recorded for audit and debugging.
If a request cannot be validated or routed safely, it does not execute.
Requests are routed across models based on cost, latency, and sensitivity in real time.
One line to intercept every request.
Keep your client. Change the base URL. Every call is now enforced, logged, and routed.
# Before — direct (uncontrolled)
client = OpenAI(api_key="...")
# After — through Olyx
client = OpenAI(
api_key="...",
base_url="https://olyx.ai/v1"
)
response = client.chat.completions.create(...)
Control reduces avoidable risk.
Scrub sensitive fields before they reach external models.
Route to lower-cost models when quality and policy constraints allow.
Full trace visibility on every request — no guessing, no sampling.
Hard limits on token loops, tool usage, and agent escalation.