Enterprise AI Gateway: Governed Model Access & Spend Control
Cloptima gives platform and engineering teams one high-performance, OpenAI-compatible control plane for model routing, spend limits, real-time guardrails, and token attribution across all AI providers.
from openai import OpenAI
client = OpenAI(
base_url="https://api.cloptima.ai/v1/ai",
api_key="clop_vk_dPXO67p…", # Cloptima virtual key, not a provider key
)
resp = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Summarize this ticket"}],
extra_headers={"x-cloptima-team": "support-ai", "x-cloptima-app": "helpdesk"},
)Where AI spend actually starts
AI adoption usually starts with scattered provider keys, direct SDK calls, and inconsistent tagging. By the time finance sees the bill, teams cannot explain which app, agent, customer, or workflow created the spend.
- Unapproved models and endpoints
- Provider keys spread across apps and laptops
- No consistent team, app, or environment attribution
- Budget enforcement that happens after the provider bill
One governed endpoint, every provider
Applications call one governed endpoint while Cloptima applies policy, captures usage context, and normalizes spend signals across OpenAI, Anthropic, Gemini, Vertex AI, Bedrock, and compatible model APIs.
- Route requests through approved providers and models
- Issue app-scoped virtual keys instead of spreading provider keys
- Attach team, app, environment, user, session, and run context
- Apply spend, token, request, and model policies before calls leave the control plane
- Keep gateway usage connected to cloud and Kubernetes ownership data
Start small, prove it, then expand
Start with a small set of production apps, create governed virtual keys, set default limits, and use dashboards to see spend by model, provider, team, and app before rolling controls out more broadly.
Built for production traffic
The gateway supports low-latency budget checks, durable pre-flight reservations, resilient usage finalization, no-retention prompt policies, and policy snapshots for local or VPC deployment options. We publish exactly what a fully governed request costs end to end — see our benchmark (p95 7–15ms for a fully governed request).
Drop-In Integration in Seconds
Standard OpenAI and Anthropic protocol compatible. Point your existing client to the gateway and attach attribution headers.
curl https://api.cloptima.ai/v1/ai/chat/completions \
-H "Authorization: Bearer $CLOPTIMA_PAT" \
-H "X-Cloptima-Team: core-platform" \
-H "X-Cloptima-App: billing-assistant" \
-H "X-Cloptima-Environment: production" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.6",
"messages": [{"role": "user", "content": "Analyze cloud infrastructure cost anomalies"}]
}'Compare Cloptima AI Gateway
See how Cloptima combines hot-path gateway controls with enterprise FinOps and cost reconciliation.
Cloptima vs LiteLLM
OpenAI-compatible gateway routing vs. full FinOps control plane, attribution, and hot-path team budget limits.
Cloptima vs Portkey
Routing and guardrails vs. pre-flight budget enforcement, finance ledger, and p95 7–15ms end-to-end latency.
Cloptima vs Cloudflare AI Gateway
Edge proxying vs. enterprise attribution, team quota enforcement, and provider bill matching.
Cloptima vs Helicone
LLM observability logs vs. active request-path budget controls, response caching, and unit economics.
Launch path
Create a Cloptima virtual key, connect provider credentials or approved provider routes, update your SDK base URL, and add attribution headers or SDK metadata for richer chargeback.
FAQ
Operationalize LLM FinOps Across Your Apps
Start with telemetry, gateway governance, or provider bill matching workflows. Keep model spend connected to engineering ownership and finance reporting.