Ragas · FinOps Profile

Ragas Finops

FOCUS-aligned FinOps profile for Ragas. The library itself is free. Real cost is the LLM/embedding spend incurred during evaluation runs (judge model calls, embedding calls). Optimize by selecting cheaper judge models (e.g. GPT-4o-mini), batching test sets, caching, and limiting eval set size.

Ragas Finops is the FinOps profile for Ragas on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 2 billable meters, billed in N/A, on a n/a cycle, and pricing category free / open source.

The profile maps 7 FOCUS columns for cost-allocation reporting.

Tagged areas include AI Evaluation, LLM, RAG, Open Source, and Python.

Category: AI Evaluation Pricing: Free / Open Source Billing: N/A FOCUS v1.3
AI EvaluationLLMRAGOpen SourcePythonMetricsFinOpsCost ManagementFOCUS

Framework Alignment

Framework
Data Spec

Charge Categories

Usage

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
N/A
ProviderName
Ragas (Exploding Gradients)
PublisherName
Ragas
ServiceCategory
AI Evaluation
ServiceName
Ragas

Meters

judge_model_tokens
Unit: token
Tokens consumed against an upstream judge LLM during eval (cost is on the LLM provider invoice).
embedding_tokens
Unit: token
Tokens consumed against an upstream embedding model.

Sources