OntoCtrl sits transparently between your applications and every LLM provider — analyzing each request, removing waste, reusing prior work, and slashing your AI bill. No code changes required.
// Only your base URL changes.
client = OpenAI(
base_url="https://api.ontoctrl.com/v1",
api_key="your-ontoctrl-key",
)
# Response headers
X-AICP-Cache: HIT
X-AICP-Cost-Usd: 0.00
X-AICP-Saved-Usd: 0.0143
X-AICP-Provider: openaiEach OntoCtrl product plugs into the same transparent gateway — start with cost, expand into governance and security.
A drop-in, OpenAI-compatible proxy that optimizes every AI request and reports exactly where your money goes.
Policy, PII redaction, and audit trails on every prompt and completion — enforced at the gateway.
Automatically route each request to the cheapest capable model with failover and SLAs.
“We analyze every AI request, remove waste, reuse previous work, optimize context, and give you actionable recommendations to reduce AI costs — without changing your application code.”
Change one base URL. Your SDK, request shape, and streaming stay exactly the same.
Per-tenant semantic cache with exact + cosine matching. On a hit, the upstream call is skipped — cost drops to $0.
Prompt optimization and content-aware compression, every change measured in tokens saved and gated net-of-cost.
Reuse discounted cached-input rates across OpenAI and Anthropic for repeated system prompts, tools, and RAG context.
Cost by model/provider/day, root-cause drivers, prompt & RAG analyzers — all from the ledger, at zero model cost.
Split spend across business units with per-unit budgets and 50/80/100% threshold alerts and projections.
Real embedded tiktoken tokenizer plus customer-specific pricing overrides for negotiated rates.
Zero added model cost and a privacy-safe PromptShape — token counts only, never your prompt text.
Watch a full walkthrough — from a zero-code integration to real-time savings on the spend dashboard.
Every request flows through the same extensible orchestration contract.
Duplicate removal, whitespace normalization, and context trimming — measured in tokens.
Exact and semantic match against the per-tenant cache before any provider is touched.
Send to the right provider with graceful failover across OpenAI, Anthropic, and Azure.
Cost vs. baseline recorded to the ledger, then cached for the next identical request.
The gateway makes zero model calls of its own — so what you save on your AI bill dwarfs what you pay us. Start free on your own machine, scale to managed production, or self-host.
Call the hosted ontoctrl API — no local install, nothing to run. Sign in with Google or LinkedIn to get your key instantly. Usage is attributed per user and monitored for fair use.
A hosted production gateway with a real endpoint and durable storage.
Self-hosted inside your network with a signed license — your data never leaves.
Savings-based promise: on Team & Enterprise, if we don't measurably reduce your AI spend in the first 30 days, you don't pay. Every dollar is attributed in the ledger — no surprises.
No install, nothing to run. Sign in with Google or LinkedIn to get your developer key, then point your existing OpenAI SDK at the ontoctrl endpoint — only the base URL changes.
# Sign in with Google or LinkedIn — your key is issued instantly:
# https://api.ontoctrl.com/account.html
export ONTOCTRL_API_KEY="your-developer-key"from openai import OpenAI
client = OpenAI(base_url="https://api.ontoctrl.com/v1",
api_key="YOUR_DEVELOPER_KEY")
client.chat.completions.create(model="gpt-4o",
messages=[{"role":"user","content":"hi"}])curl -s https://api.ontoctrl.com/health # {"status":"ok"}Point one app at the gateway and watch the savings land in real time.