Cloptima applies low-latency LLM budget checks in the request path and keeps the final usage trail ready for cost reporting.
Traditional budget alerts arrive after usage already happened. LLM workloads need controls that can stop runaway loops, unexpected model upgrades, and high-volume experiments before they become material spend.
Each request is governed by its winning policy plus the org baseline policy. The winning policy holds the budget for its team, app, environment, or key; the baseline can add one ceiling on all AI gateway spend in the organization. Cloptima reserves a request's estimated cost before the call and settles the actual cost after the response, so the budget always reflects what is in flight.
Create default development limits, protect production with higher thresholds, and require approval before teams use expensive models or unusually large context windows.
Budget enforcement is built around fast pre-flight checks, durable reservations, and usage finalization. That lets Cloptima avoid relying only on delayed logs or monthly provider exports. Edge gateways in your network draw a share of the same budget and enforce it locally, so one budget holds across every place your traffic runs.
The gateway speaks the OpenAI and Anthropic protocols. Point your existing client at it and add attribution headers.
curl https://api.cloptima.ai/v1/ai/chat/completions \
-H "Authorization: Bearer $CLOPTIMA_PAT" \
-H "X-Cloptima-Team: data-platform" \
-H "X-Cloptima-App: record-enrichment" \
-H "X-Cloptima-Environment: production" \
-H "Content-Type: application/json" \
-d '{"model": "gpt-5.6-luna", "messages": [{"role": "user", "content": "Classify record batch"}]}'
# When daily/monthly budget ceiling is exhausted, gateway rejects pre-flight (0 provider spend):
# HTTP/1.1 403 Forbidden
# {"error": "Daily budget limit exceeded", "reason": "gateway_daily_budget_exceeded", "violations": ["gateway_daily_budget_exceeded"]}OpenAI-compatible gateway routing vs. full FinOps control plane, attribution, and hot-path team budget limits.
Routing and guardrails vs. pre-flight budget enforcement, finance ledger, and p95 up to 13ms end-to-end latency.
Edge proxying vs. enterprise attribution, team quota enforcement, and cost reporting.
LLM observability logs vs. active request-path budget controls, response caching, and unit economics.
Point your SDK at the gateway, bind a policy, and watch the first call land on the ledger.