Zero Data Retention

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What ZDR is

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What ZDR is not

• No client-side encryption. TLS protects your request in transit. Your content is plaintext at the Prem API Gateway and at the partner.
• No Trusted Execution Environment (TEE). ZDR operates on standard compute. The hardware does not isolate the workload.
• No attestation. The hardware supplies no signed evidence, and there is nothing for you to examine. GET /attestation/{type} is correct only for confidential models.
• A contract gives the guarantee, not cryptography. A contract and operational controls stop retention. Mathematics does not stop it.

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The trusted-partner model

• Keep no prompt, completion, or audio content after it sends back the response
• Write no content to a log, a cache, or persistent storage
• Use no content to train or to evaluate a model
• Let no person read the content, and this rule contains abuse review and quality review

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Make your first request

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1. Get an API key

export PREM_API_KEY="your-api-key"

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2. Set the base URL

https://gateway.prem.io/openai

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3. Send a request

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["PREM_API_KEY"],
    base_url="https://gateway.prem.io/openai",
)

response = client.chat.completions.create(
    model="kimi-k3",
    messages=[{"role": "user", "content": "What can you help me build?"}],
)

print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.PREM_API_KEY!,
  baseURL: "https://gateway.prem.io/openai",
});

const response = await client.chat.completions.create({
  model: "kimi-k3",
  messages: [{ role: "user", content: "What can you help me build?" }],
});

console.log(response.choices[0].message.content);

curl https://gateway.prem.io/openai/chat/completions \
  -H "Authorization: Bearer $PREM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k3",
    "messages": [{"role": "user", "content": "What can you help me build?"}]
  }'

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Compatibility

for model in client.models.list():
    print(model.id)

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Next steps