Cloptima gives teams the cost visibility and policy controls needed for agents, tools, retries, loops, and long-running AI workflows.
Agentic systems multiply model calls through retries, tool use, planning loops, and chained workflows. Without run-level attribution, one feature can create spend that is hard to detect and harder to explain.
Cloptima tracks session, run, tool, and workflow context, so you see where agents spend and stop runaways while they run. Caps set on the org baseline apply to every agent.
Tag agent runs, compare cost per session, review retries and tool-heavy workflows, and set conservative development budgets for experimental agents.
The control plane is designed for hierarchical attribution, from provider and model down to session, run, and tool call. That makes cost policy usable for both simple chat apps and multi-step agents.
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 7–9ms 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.