Govern LLM Spend Before It Reaches Provider Bills
Cloptima gives platform and finance teams one control plane for AI gateway policies, bring-your-own-key access, cost-aware guardrails, response caching, and agent cost attribution.
The LLM FinOps Platform
Every area is live and in production unless marked Coming Soon. Pick where you are today.
Gateway & Access
The governed entry point for every model call — routing, credentials, and budget enforcement.
Enterprise AI Gateway — Governed LLM Routing & Spend Control
Route model traffic through an OpenAI-compatible gateway with virtual keys, budgets, attribution, provider access controls, no-retention prompt policy, and reconciliation-ready usage records.
ExploreBYOK for Model Provider Access
Centralize OpenAI, Anthropic, Gemini, Vertex AI, and Bedrock credentials behind encrypted controls while giving developers governed virtual-key access through Cloptima.
ExploreLLM Budget Controls — Hot-Path Spend Limits & Token Quotas
Enforce hard spend ceilings, rate limits, and per-request token caps before provider calls egress. Prevent unexpected bills with atomic pre-flight reservations, one org-wide ceiling, and budgets shared across cloud and edge gateways.
ExplorePrivate LLM Edge Gateway
Run the same AI governance engine inside your own VPC — guardrails, budgets, and audit enforced locally, with locally encrypted credentials, signed policy snapshots, and budgets shared with every other gateway.
ExploreGuardrails & Caching
Cost and safety controls that run on the hot path, priced and audited like any other policy.
AI Guardrails on the Request Path — Secrets, Personal Data & Provider Safety Scans
Protect prompts and responses on AI gateway traffic with built-in credential detection, your own personal-data rules, and optional Azure AI Content Safety, AWS Bedrock Guardrails, Google Model Armor, or webhook scans — with cost caps and an audit trail.
ExploreAI Gateway Response Caching — Exact & Semantic Response Cache
Skip the provider round trip and slash LLM spend with policy-scoped exact-match and semantic vector caching. Observe cache hit rates before enforcing.
ExploreSemantic Vector Response Cache
Serve equivalent — not just identical — requests from a policy-gated semantic cache with similarity scoring, source freshness checks, and eval-scored safety gates.
ExploreAI Agent Cost Controls
Track and govern agent sessions, retries, loops, tool calls, MCP workflows, and autonomous runs before they create runaway AI spend.
ExploreOptimization & Intelligence
Automated savings with a safety net — canary routing, eval-gated releases, and an always-on spend feed.
Adaptive LLM Routing — Dynamic Fallback, Latency Routing & Cost Optimization
Dynamically route requests across OpenAI, Anthropic, Gemini, Vertex AI, and Bedrock based on real-time latency, pricing, and error rates. Failover seamlessly with zero code changes.
ExplorePrompt Registry, Datasets, and Eval-Gated Releases
Version prompts, manage evaluation datasets, run deterministic and LLM-as-judge evals, and gate model or prompt changes behind a passing eval score with canary rollout and rollback.
ExploreAI Spend Intelligence: Anomalies, Findings, and Recommendations
An always-on feed that surfaces LLM spend anomalies, attribution and pricing findings, retry and failure waste, and guardrail-overhead cost directly in the console — ranked by impact.
ExploreAI Gateway Latency & Governance Benchmarks (2026)
Measured latency benchmarks for full request-path AI governance: virtual keys, guardrails, atomic budget checks, exact response caching, and guardrail block enforcement across sustained throughput.
ExploreFinance & Governance
Turn usage into owned, reportable spend — attribution, unit economics, contract pricing, and shadow AI cleanup.
Model Spend Analytics
Analyze AI spend by provider, model, team, app, environment, user, session, run, and custom business dimensions.
ExploreAI Unit Economics
Measure LLM cost per customer, workspace, agent run, ticket, document, transaction, and product workflow.
ExploreContract Pricing and Enterprise Rate Overrides
Apply forward-only customer- or org-specific contract rates, commitments, and credits on top of list pricing, with a server-authoritative preview before approval and an immutable audit history behind every override.
ExploreLLM Provider Bill Reconciliation (Coming Soon)
Compare gateway and telemetry usage against provider billing exports with reconciliation-ready cost records (Coming Soon).
ExploreShadow AI Discovery
Find unowned LLM usage, direct provider calls, and AI spend that is not mapped to teams, apps, or approved governance paths.
ExploreSupported Provider Surfaces and Model Vendors
Govern known model families with canonical policy names while still allowing exact policy strings for fine-tuned, custom, and newly released provider models.
Instrument Your Apps With the Cloptima SDKs
Want attribution without routing through the gateway? Drop in a lightweight SDK, keep your own provider client, and send usage with rich, custom attribution. First-class support for JavaScript/TypeScript, Python, and Go.
npm install @cloptima/llm-observability
pip install cloptima-llm-observability
go get github.com/cloptima/llm-observability-goimport { initFromEnv, extractOpenAIUsage } from "@cloptima/llm-observability";
const cloptima = initFromEnv();
await cloptima.observeCall({
provider: "openai",
model: "gpt-4.1-mini",
call: () => summaryService.generate(prompt),
extractUsage: extractOpenAIUsage,
featureId: "summary_generation",
workflowId: "support_agent",
// + team, environment, tenantId, costCenter, and custom metadata
});Telemetry posts to https://api.cloptima.ai/v1/ai/integrations/sdk/events. Missing config falls back to a disabled pass-through, so local dev and tests never break.
Onboarding Guides
Setup pages for provider connections, OpenAI-compatible gateway adoption, SDK attribution, OpenTelemetry ingest, and provider billing reconciliation (Coming Soon).
OpenAI-Compatible AI Gateway for FinOps
Get model governance, cost attribution, and budget controls without a large application rewrite.
Connect OpenAI Usage to Cloptima
Route OpenAI-compatible traffic through Cloptima for model access control, spend attribution, and budget enforcement.
Connect Anthropic Usage to Cloptima
Track and govern Anthropic usage with team attribution, model policies, and AI FinOps reporting in Cloptima.
Connect Gemini and Vertex AI Usage to Cloptima
See model-level analytics, budget controls, and the cloud cost context around your Google AI spend.
Connect Amazon Bedrock Usage to Cloptima
Track and govern model spend through AI FinOps and cloud ownership views.
LLM FinOps for Vercel AI SDK Apps
Add model spend attribution and gateway governance to your TypeScript AI apps.
Compare AI FinOps Options
Cloptima vs LiteLLM
Compare Cloptima and LiteLLM for AI gateway governance, model spend analytics, LLM budgets, and AI FinOps workflows.
Cloptima vs Portkey
Compare Cloptima and Portkey for AI gateway operations, observability, guardrails, LLM budgets, and finance-facing AI spend management.
Cloptima vs Helicone
Compare Cloptima and Helicone for LLM observability, model spend reporting, budget controls, and AI FinOps workflows.
Cloptima vs Langfuse
Compare Cloptima and Langfuse for LLM observability, prompt engineering, model costs, and AI FinOps governance.
AI Gateway vs AI FinOps
Understand the difference between AI gateway operations and AI FinOps control planes for model spend governance.
Cloptima vs OpenRouter
Compare OpenRouter's unified multi-provider model access with Cloptima's AI FinOps control plane: governance, attribution, BYOK, reconciliation, and unit economics.
Cloptima vs Cloudflare AI Gateway
Compare Cloudflare AI Gateway's proxy features (caching, rate limiting, analytics) with Cloptima's AI FinOps control plane for governance, attribution, and reconciliation.
Solutions by Team
AI Spend Governance for Engineering Leaders
Give engineering leaders one operating model for LLM access, budget controls, ownership, and AI feature cost accountability.
LLM Chargeback and Showback
Allocate LLM spend to teams, apps, environments, customers, and product workflows with reconciliation-ready records.
AI Gateway Governance for Platform Teams
Give developers governed model access while platform teams manage provider credentials, virtual keys, model policies, budget limits, and audit trails.
AI Agent Cost Control
Track and control LLM spend from agent sessions, retries, loops, tools, and long-running autonomous workflows.
AI Margin Reporting
Connect LLM spend to customer, workflow, product, cloud, and Kubernetes cost context for better AI feature margin visibility.
Shadow AI Discovery for Governance Teams
Find unowned model usage and direct provider calls that bypass approved AI spend and access governance.
FAQ
Govern, Route, and Account for Every Model Call
Start with telemetry, governed gateway routing, or both. Keep model usage, ownership, and finance reporting in one operating model.