Keep Agentic Workflows Inside Spend Guardrails
Cloptima gives teams the cost visibility and policy controls needed for agents, tools, retries, loops, and long-running AI workflows.
Govern access before spend happens
Agentic systems can 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.
One policy layer across model usage
Cloptima tracks agent session, run, tool, and workflow metadata so platform teams can see where autonomous systems spend money and apply controls at the right level.
Start with one app, then expand
Tag agent runs, compare cost per session, review retries and tool-heavy workflows, and set conservative development budgets for experimental agents.
Built for private production AI
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.
Launch path
Pass agent session and run identifiers through gateway metadata, SDK helpers, or OpenTelemetry attributes, then define policy scopes for expensive workflows.
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.