Agente IA: Gen AI FinOps
GenAIFinOps was born as a project to solve the complexity of managing multiple models and the volatility of token prices, functioning as a true Kubernetes for AI Costs.
How to scale large language models (LLMs) without operational costs undermining ROI? We developed an abstraction layer that allows dynamic switching between models, ensuring technical performance with radical financial efficiency.
RESOURCES
Oracle (Pricing Chat)
Ask natural language questions about AI model pricing: “What is the cheapest GPT model?”, "Compare the prices of GPT-4 and GPT-3.5", "Which models are compatible with vision?"
Architect (Cost Optimizer)
Receive AI-based recommendations: Analyze your use case. Calculate costs for different models. See potential savings (monthly/annual). Compare alternatives with graphs.
Control Panel
Monitor your optimization platform: System health metrics. Provider overview. Model statistics. Quick start guide.
VALOR DO NEGÓCIO
Cenário: Chatbot de suporte ao cliente com 10 milhões de tokens/mês
Visualize custos acumulados ao longo do tempo
Economia Total (12 meses)
$4,767.60
Redução de 99.3% nos custos
GPT-4 (Atual)
$4,800
GPT-4o-mini
$32.40
Para Desenvolvedores
- ✓Economize tempo na pesquisa de preços
- ✓Seleção de modelos baseada em dados
- ✓Otimize custos sem perda de qualidade
Para Empresas
- ✓Reduzir os custos de IA em 30 a 99%
- ✓Evitar estouros de orçamento
- ✓Acompanhar e prever os gastos com IA
- ✓Justificar os investimentos em IA para as partes interessadas
Technologies used
- Backend:
Python + FastAPI + ChromaDB + RAG - Frontend:
React + TypeScript + Tailwind CSS - AI:
litellm (support for LLM from multiple providers)