Integration Guide

curl https://api.vaultproxy.ai/v1/chat/completions \
  -H "Authorization: Bearer vp_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-4.6-sonnet",
    "messages": [
      {"role": "user", "content": "Cześć, nazywam się Jan Kowalski, PESEL 85031501234"}
    ]
  }'

# Works with ANY model - just change the model field:
# "gpt-5.4", "google/gemini-2.5-flash", "groq/llama-4-scout", etc.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.vaultproxy.ai/v1",  # <- changed
    api_key="vp_your_api_key_here",            # <- changed
)

response = client.chat.completions.create(
    model="anthropic/claude-4.6-sonnet",  # Use ANY model via VaultProxy!
    messages=[
        {"role": "user", "content": "Przygotuj wycenę dla: Jan Kowalski, PESEL 85031501234, NIP 5261234567"}
    ],
)

# AI received: "Przygotuj wycenę dla: <PERSON_1>, PESEL <PESEL_1>, NIP <NIP_1>"
# Response is de-anonymized automatically with original data restored
print(response.choices[0].message.content)

const response = await fetch("https://api.vaultproxy.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer vp_your_api_key_here",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "google/gemini-2.5-flash",  // Use any model
    messages: [
      { role: "user", content: "Klient: Jan Kowalski, tel. +48 123 456 789, ul. Marszałkowska 15, 00-001 Warszawa" },
    ],
  }),
});

const data = await response.json();
console.log(data.choices[0].message.content);