Score, alert and diagnose your agents in production.

# .env — 1 env var (Sentry-style DSN)
AFERIQ_DSN=https://rg_pk_live_xxx@your-deploy.com.br/api/v1/traces

# main.py — UMA linha, qualquer framework
import openai
import aferiq
aferiq.start()  # reads AFERIQ_DSN + auto-patches openai/anthropic

# 1. App boot — once:
import aferiq
aferiq.start()  # reads AFERIQ_DSN from env

# 2. On EVERY chain (RetrievalQA, ConversationalRetrievalChain, LCEL):
chain = RetrievalQA.from_chain_type(
    llm=llm,
    retriever=vectorstore.as_retriever(),
    callbacks=[aferiq.handler()],   # ← one line
)

chain.invoke({"query": "..."})
# Trace is in the dashboard, with PII redacted (CPF/CNPJ/email).