🐍 Quota Python SDK (quota-sdk)
🇺🇸 English
Official Python SDK for Quota: Unified LLM Observability, Real-time Cost Tracking, Proxy & native Model Context Protocol (MCP) tool interception for Python applications and agents.
🎯 Supported AI Providers
The Quota platform supports and monitors all models from the following AI providers:
- OpenAI
- Anthropic
- Groq
- Mistral
🚀 Installation
pip install quota-sdk
⚙️ Quickstart
from quota import Quota
# 1. Initialize Quota
Quota.init(
api_key="quota_live_YOUR_API_KEY",
endpoint="https://api.quota.ai/collector", # Optional (default: official endpoint)
project="ecommerce-portal",
agent="customer-support-bot",
environment="production",
debug=False
)
🧠 Model Context Protocol (MCP) Integration
Option A: Wrap an MCP Client
from quota import Quota
# Wrap any Python MCP Client
mcp_client = Quota.wrap_mcp(my_raw_mcp_client, tags=["mcp", "db-tools"])
# Calls to call_tool are transparently intercepted and logged to Quota!
result = mcp_client.call_tool(name="query_orders", user_id="usr_123")
Option B: Functional Interceptor
from quota import Quota
response = Quota.intercept_mcp(
action=lambda: call_my_ai_function(),
provider="anthropic",
tags=["mcp-action"]
)
Manual Tracking
from quota import Quota
Quota.track_usage({
"provider": "google",
"model": "gemini-model",
"promptTokens": 120,
"completionTokens": 35,
"cachedTokens": 20,
"latencyMs": 410,
"statusCode": 200,
"success": True,
"metadata": {
"project": "bi-reports",
"agent": "analyst-bot"
}
})
🇧🇷 Português
SDK oficial em Python do Quota: Observabilidade unificada de LLMs, monitoramento de custos em tempo real, proxy e interceptação nativa de ferramentas do Model Context Protocol (MCP) para aplicações e agentes em Python.
🎯 Provedores de IA Suportados
A plataforma Quota suporta e monitora modelos dos seguintes provedores:
- OpenAI
- Anthropic
- Groq
- Mistral
🚀 Instalação
pip install quota-sdk
⚙️ Inicialização Rápida
from quota import Quota
Quota.init(
api_key="quota_live_sua_chave_aqui",
endpoint="https://sua-api.com/collector", # Opcional (padrão: rota oficial)
project="portal-vendas",
agent="assistente-atendimento",
environment="production"
)
🧠 Integração com Model Context Protocol (MCP)
Opção A: Envelopando um Cliente MCP
from quota import Quota
# Envelopa qualquer cliente MCP em Python
mcp_client = Quota.wrap_mcp(meu_mcp_client, tags=["mcp", "ferramentas-db"])
# As chamadas a call_tool são automaticamente interceptadas e gravadas no Quota!
resultado = mcp_client.call_tool(name="consultar_pedidos", user_id="usr_123")
Opção B: Interceptador Funcional
from quota import Quota
resposta = Quota.intercept_mcp(
action=lambda: minha_funcao_ia(),
provider="openai",
tags=["mcp-action"]
)
Envio Manual de Telemetria
from quota import Quota
Quota.track_usage({
"provider": "google",
"model": "gemini-model",
"promptTokens": 120,
"completionTokens": 35,
"cachedTokens": 20,
"latencyMs": 410,
"statusCode": 200,
"success": True,
"metadata": {
"project": "relatorios-bi",
"agent": "bot-analista"
}
})
📄 Licença / License
MIT © Quota
Metadata
Release files for quota-sdk 1.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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Total release size: 10.8 kB
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