The control plane for production AI systems.
Govern data exposure, route requests intelligently, and observe every execution decision.
Production AI systems need more than provider APIs and application logic. Olyx inserts an active control layer into the request path to enforce policy, govern execution, and create complete visibility across every model interaction.
Closed beta · Works with your existing APIs · No application rewrite required
AI requests become production decisions.
Every request influences cost, behavior, and system outcomes. Without a control layer, routing, enforcement, and visibility are distributed across application code and provider logs.
Requests leave your boundary without deterministic enforcement.
Outputs are visible but execution decisions remain opaque.
Requests continue even when constraints are missing or bypassed.
Execution decisions scale faster than visibility.
AI systems now require infrastructure.
Models increasingly participate in production workflows. As execution expands across providers, agents, and environments, governance and routing cannot remain embedded inside application code.
AI requests now trigger real outcomes.
Requests span providers, tools, and environments.
Cost, latency, and policy affect every execution.
Enforcement should exist independently of providers.
The shift is simple: Production AI is becoming distributed infrastructure.
Infrastructure requires control planes — not best-effort logging.
Insert control into every execution path.
Olyx sits directly between applications and model providers.
Requests entering Olyx are evaluated, routed, and recorded before execution occurs.
Route requests through Olyx with a base URL change.
No client rewrites. No provider lock-in
Code stays.
client = OpenAI(
api_key="...",
base_url="https://app.olyxai.io/v1"
)
Apply governance rules at execution time.
Define routing logic, data controls, execution policies, and operational limits.
Every request is evaluated before provider execution.
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 integration. Complete execution control.
Keep your clients.
Add Olyx to the request path.
Immediately gain enforcement, routing, and observability.
# Before — direct (uncontrolled)
client = ProviderAI(api_key="...")
# After — through Olyx
client = ProviderAI(
api_key="...",
base_url="https://app.olyxai.io/v1"
)
response = client.chat.completions.create(...)
Control improves reliability.
Apply governance before execution.
Route requests intentionally.
Observe decisions, not only outputs.
Prevent uncontrolled execution.