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.
AI Gateway for LLM FinOps
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
Set model spend, token, and request limits by team, app, environment, user, key, provider, and agent workflow.
ExplorePrivate LLM Edge Gateway
Run the same AI governance engine inside your own VPC — guardrails, budgets, and audit enforced locally, with locally encrypted credentials and signed policy snapshots.
ExploreGuardrails & Caching
Cost and safety controls that run on the hot path, priced and audited like any other policy.
LLM Guardrails and Guardrail Cost Governance
Detect prompt injection, jailbreaks, PII, and secrets with Cloptima's own detectors or named providers like AWS Bedrock Guardrails and Azure AI Content Safety, and govern the cost of running those checks with policy-based bypass, approval workflows, and audit trails.
ExploreExact Response Cache for LLM Requests
Serve identical, policy-approved LLM requests from cache instead of the provider, with observe and enforce modes, namespace isolation, and a blast-radius preview before you turn enforcement on.
ExploreSemantic Search and Semantic Response Cache
Search across LLM traces, prompts, tools, and policy violations by meaning, and serve equivalent — not just identical — requests from a policy-gated semantic cache with eval-scored safety checks.
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 Model Routing
Automatically shift eligible LLM traffic to a cheaper or faster policy-approved model, starting on a small canary cohort, with automatic rollback if quality, latency, or error rate regresses.
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.
ExploreHow Much Does AI Governance Cost In Latency?
Cloptima's own governance-benchmark suite: what full request-path governance, guardrails, response caching, and enforcement actually cost in gateway overhead — and what they guarantee.
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
How to adopt an OpenAI-compatible gateway for 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
Bring Gemini and Vertex AI spend into Cloptima for model analytics, budget controls, and cloud cost context.
Connect Amazon Bedrock Usage to Cloptima
Track and govern Amazon Bedrock model spend with Cloptima's AI FinOps and cloud ownership views.
LLM FinOps for Vercel AI SDK Apps
Add model spend attribution and gateway governance to Vercel AI SDK applications.
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
Put LLM Spend Under the Same Discipline as Cloud Spend
Start with telemetry, governed gateway routing, or both. Keep model usage, ownership, and finance reporting in one operating model.