API reference

curl https://api.gdprprompt.ai/v1/chat/completions \
  -H "Authorization: Bearer $EUCC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "auto",
    "messages": [
      {"role": "user", "content": "Draft a reply to Ana Novak about invoice 2024-117."}
    ]
  }'

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.gdprprompt.ai/v1",
    api_key=os.environ["EUCC_API_KEY"],
)
reply = client.chat.completions.create(
    model="auto",
    messages=[{"role": "user", "content": "Draft a reply to Ana Novak about invoice 2024-117."}],
)
# "Dear Ms Novak, ...": the real name is back in the answer
print(reply.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.gdprprompt.ai/v1",
  apiKey: process.env.EUCC_API_KEY,
});
const reply = await client.chat.completions.create({
  model: "auto",
  messages: [
    { role: "user", content: "Draft a reply to Ana Novak about invoice 2024-117." },
  ],
});
console.log(reply.choices[0].message.content);

curl https://api.gdprprompt.ai/v1/models \
  -H "Authorization: Bearer $EUCC_API_KEY"

{
  "object": "list",
  "data": [
    { "id": "auto", "object": "model" }
  ]
}

# The first call returns a session id in the X-Session-Id header (-i shows it)
curl -i https://api.gdprprompt.ai/v1/chat/completions \
  -H "Authorization: Bearer $EUCC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "auto", "messages": [
        {"role": "user", "content": "Summarise the call with Ana Novak."}]}'

# Send it back with the next call: Ana Novak stays [PERSON_1] for the model
curl https://api.gdprprompt.ai/v1/chat/completions \
  -H "Authorization: Bearer $EUCC_API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-Session-Id: $SESSION_ID" \
  -d '{"model": "auto", "messages": [...]}'

raw = client.chat.completions.with_raw_response.create(
    model="auto", messages=messages,
)
session_id = raw.headers["X-Session-Id"]
reply = raw.parse()

# Later turns of the same conversation:
reply = client.chat.completions.create(
    model="auto",
    messages=messages,
    extra_headers={"X-Session-Id": session_id},
)

const { data: reply, response } = await client.chat.completions
  .create({ model: "auto", messages })
  .withResponse();
const sessionId = response.headers.get("X-Session-Id");

// Later turns of the same conversation:
await client.chat.completions.create(
  { model: "auto", messages },
  { headers: { "X-Session-Id": sessionId } },
);

stream = client.chat.completions.create(
    model="auto", messages=messages, stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")

const stream = await client.chat.completions.create({
  model: "auto", messages, stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

curl -N https://api.gdprprompt.ai/v1/chat/completions \
  -H "Authorization: Bearer $EUCC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "auto", "stream": true,
       "messages": [{"role": "user", "content": "..."}]}'
# Server-sent events in the OpenAI format, ending with: data: [DONE]

curl https://api.gdprprompt.ai/v1/pseudonymize \
  -H "Authorization: Bearer $EUCC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Remind Ana Novak, tax number 41270517, of invoice 2024-117."}'

{
  "text": "Remind [PERSON_1], tax number [TAX_ID_1], of invoice 2024-117.",
  "detected": { "PERSON": 1, "TAX_ID": 1 }
}

curl https://api.gdprprompt.ai/v1/documents \
  -H "Authorization: Bearer $EUCC_API_KEY" \
  -F "file=@contract.pdf"

import os, requests

with open("contract.pdf", "rb") as f:
    r = requests.post(
        "https://api.gdprprompt.ai/v1/documents",
        headers={"Authorization": f"Bearer {os.environ['EUCC_API_KEY']}"},
        files={"file": f},
    )
text = r.json()["text"]  # then send it in a chat message to have it masked and answered

{
  "text": "LEASE AGREEMENT\nconcluded between ...",
  "pages": 3,
  "ocr_pages": 1,
  "kind": "pdf"
}