Документация API

BASE_URL='https://drakezakuru.com/v1'
curl "$BASE_URL/chat/completions" \
  -H "Authorization: Bearer $DRAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"MODEL_ID_FROM_V1_MODELS","messages":[{"role":"user","content":"Say hello briefly."}],"max_tokens":128}'

# Форма ответа (текст и идентификаторы выдаются моделью):
# {"id":"<completion-id>","object":"chat.completion","model":"<model-id>",
#  "choices":[{"index":0,"message":{"role":"assistant","content":"<generated text>"},"finish_reason":"stop"}],
#  "usage":{"prompt_tokens":<number>,"completion_tokens":<number>,"total_tokens":<number>}}

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["DRAKE_API_KEY"], base_url='https://drakezakuru.com/v1')
response = client.chat.completions.create(
    model="MODEL_ID_FROM_V1_MODELS",
    messages=[{"role": "user", "content": "Say hello briefly."}],
    max_tokens=128,
)
print(response.choices[0].message.content)

# Ответ — ChatCompletion с choices[].message и usage.prompt_tokens / completion_tokens.

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.DRAKE_API_KEY,
  baseURL: 'https://drakezakuru.com/v1',
});
const response = await client.chat.completions.create({
  model: "MODEL_ID_FROM_V1_MODELS",
  messages: [{ role: "user", content: "Say hello briefly." }],
  max_tokens: 128,
});
console.log(response.choices[0]?.message.content);

// Ответ: object="chat.completion", choices[].message и usage.

BASE_URL='https://drakezakuru.com/v1'
curl "$BASE_URL/responses" \
  -H "Authorization: Bearer $DRAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"MODEL_ID_FROM_V1_MODELS","input":"Say hello briefly.","max_output_tokens":128}'

# Форма ответа Responses API:
# {"id":"<response-id>","object":"response","status":"completed",
#  "model":"<model-id>","output":[{"type":"message","role":"assistant",
#    "content":[{"type":"output_text","text":"<generated text>"}]}]}

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["DRAKE_API_KEY"], base_url='https://drakezakuru.com/v1')
response = client.responses.create(
    model="MODEL_ID_FROM_V1_MODELS",
    input="Say hello briefly.",
    max_output_tokens=128,
)
print(response.output_text)

# Ответ: object="response", status="completed", output[].content[].text.

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.DRAKE_API_KEY,
  baseURL: 'https://drakezakuru.com/v1',
});
const response = await client.responses.create({
  model: "MODEL_ID_FROM_V1_MODELS",
  input: "Say hello briefly.",
  max_output_tokens: 128,
});
console.log(response.output_text);

// Ответ: object="response", status="completed", output[].content[].text.

BASE_URL='https://drakezakuru.com/v1'
curl "$BASE_URL/messages" \
  -H "x-api-key: $DRAKE_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{"model":"MODEL_ID_FROM_V1_MODELS","max_tokens":128,"messages":[{"role":"user","content":"Say hello briefly."}]}'

# Форма ответа Anthropic Messages:
# {"id":"<message-id>","type":"message","role":"assistant","model":"<model-id>",
#  "content":[{"type":"text","text":"<generated text>"}],"stop_reason":"end_turn",
#  "usage":{"input_tokens":<number>,"output_tokens":<number>}}

import json
import os
from urllib.request import Request, urlopen

body = {
    "model": "MODEL_ID_FROM_V1_MODELS",
    "max_tokens": 128,
    "messages": [{"role": "user", "content": "Say hello briefly."}],
}
request = Request(
    'https://drakezakuru.com/v1' + "/messages",
    data=json.dumps(body).encode(),
    headers={"x-api-key": os.environ["DRAKE_API_KEY"],
             "anthropic-version": "2023-06-01", "Content-Type": "application/json"},
)
with urlopen(request) as response:
    result = json.load(response)
print(result["content"])

# Для Messages используется Anthropic-формат: content[].text и usage.

const response = await fetch('https://drakezakuru.com/v1' + "/messages", {
  method: "POST",
  headers: {
    "x-api-key": process.env.DRAKE_API_KEY!,
    "anthropic-version": "2023-06-01",
    "content-type": "application/json",
  },
  body: JSON.stringify({
    model: "MODEL_ID_FROM_V1_MODELS",
    max_tokens: 128,
    messages: [{ role: "user", content: "Say hello briefly." }],
  }),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const result = await response.json();
console.log(result.content);

// Ответ: type="message", content[].text и usage.

BASE_URL='https://drakezakuru.com/v1'
curl "$BASE_URL/models" -H "Authorization: Bearer $DRAKE_API_KEY"

# Ответ: {"object":"list","data":[{"id":"<available-model-id>",
#  "object":"model","owned_by":"<provider>"}]}.
# Состав каталога зависит от API-ключа и его группы.

import json
import os
from urllib.request import Request, urlopen

request = Request('https://drakezakuru.com/v1' + "/models",
                  headers={"Authorization": "Bearer " + os.environ["DRAKE_API_KEY"]})
with urlopen(request) as response:
    models = json.load(response)["data"]
print([model["id"] for model in models])

# GET /v1/models возвращает объект списка с полями id, object и owned_by.

const response = await fetch('https://drakezakuru.com/v1' + "/models", {
  headers: { Authorization: `Bearer ${process.env.DRAKE_API_KEY}` },
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const { data } = await response.json();
console.log(data.map((model: { id: string }) => model.id));

// data содержит модели, разрешённые для этого ключа.

BASE_URL='https://drakezakuru.com/v1'
curl "$BASE_URL/classify" \
  -H "Authorization: Bearer $DRAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"jev","inputs":["Win a free iPhone","Your order has shipped"],"labels":["spam","not spam"]}'

# Response:
# {"results":[{"label":"spam","confidence":0.98},{"label":"not spam","confidence":0.91}]}

import os, requests
r = requests.post(os.environ["DRAKE_BASE_URL"] + "/classify",
    headers={"Authorization": "Bearer " + os.environ["DRAKE_API_KEY"]},
    json={"model": "jev",
          "inputs": ["Win a free iPhone", "Your order has shipped"],
          "labels": ["spam", "not spam"]})
for row in r.json()["results"]:
    print(row["label"], row["confidence"])

const base = process.env.DRAKE_BASE_URL!;
const res = await fetch(`${base}/classify`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.DRAKE_API_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "jev",
    inputs: ["Win a free iPhone", "Your order has shipped"],
    labels: ["spam", "not spam"]
  })
});
console.log((await res.json()).results);

BASE_URL='https://drakezakuru.com/v1'
curl "$BASE_URL/audio/speech" \
  -H "Authorization: Bearer $DRAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"elevenlabs/eleven_flash_v2_5","input":"Hello from DrakeAPI","voice":"nova","response_format":"mp3"}' \
  -o speech.mp3

import os, requests
r = requests.post(os.environ["DRAKE_BASE_URL"] + "/audio/speech",
    headers={"Authorization": "Bearer " + os.environ["DRAKE_API_KEY"]},
    json={"model": "elevenlabs/eleven_flash_v2_5",
          "input": "Hello from DrakeAPI",
          "voice": "nova",
          "response_format": "mp3"})
open("speech.mp3", "wb").write(r.content)

import { writeFileSync } from "node:fs";
const base = process.env.DRAKE_BASE_URL!;
const res = await fetch(`${base}/audio/speech`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.DRAKE_API_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "elevenlabs/eleven_flash_v2_5",
    input: "Hello from DrakeAPI",
    voice: "nova",
    response_format: "mp3"
  })
});
writeFileSync("speech.mp3", Buffer.from(await res.arrayBuffer()));

BASE_URL='https://drakezakuru.com/v1'
curl "$BASE_URL/audio/transcriptions" \
  -H "Authorization: Bearer $DRAKE_API_KEY" \
  -F "model=elevenlabs/scribe_v1" \
  -F "[email protected]"

import os, requests
r = requests.post(os.environ["DRAKE_BASE_URL"] + "/audio/transcriptions",
    headers={"Authorization": "Bearer " + os.environ["DRAKE_API_KEY"]},
    data={"model": "elevenlabs/scribe_v1"},
    files={"file": open("speech.mp3", "rb")})
print(r.json()["text"])

import { readFileSync } from "node:fs";
const base = process.env.DRAKE_BASE_URL!;
const form = new FormData();
form.append("model", "elevenlabs/scribe_v1");
form.append("file", new Blob([readFileSync("speech.mp3")]), "speech.mp3");
const res = await fetch(`${base}/audio/transcriptions`, {
  method: "POST",
  headers: { "Authorization": `Bearer ${process.env.DRAKE_API_KEY}` },
  body: form
});
console.log((await res.json()).text);

BASE_URL='https://drakezakuru.com/v1'
curl -N "$BASE_URL/chat/completions" \
  -H "Authorization: Bearer $DRAKE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"MODEL_ID_FROM_V1_MODELS","messages":[{"role":"user","content":"Say hello briefly."}],"stream":true}'

# Поток — SSE. Для Chat Completions фрагменты имеют choices[].delta;
# маркер завершения и дополнительные поля зависят от совместимого upstream.

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["DRAKE_API_KEY"], base_url='https://drakezakuru.com/v1')
stream = client.chat.completions.create(
    model="MODEL_ID_FROM_V1_MODELS",
    messages=[{"role": "user", "content": "Say hello briefly."}],
    stream=True,
)
for chunk in stream:
    text = chunk.choices[0].delta.content
    if text:
        print(text, end="", flush=True)

# Chat Completions передаёт текст по частям в choices[].delta.content.

import OpenAI from "openai";

const client = new OpenAI({ apiKey: process.env.DRAKE_API_KEY, baseURL: 'https://drakezakuru.com/v1' });
const stream = await client.chat.completions.create({
  model: "MODEL_ID_FROM_V1_MODELS",
  messages: [{ role: "user", content: "Say hello briefly." }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta.content ?? "");
}

// Ответ приходит событиями SSE; структура зависит от выбранного протокола.

BASE_URL='https://drakezakuru.com/v1'
curl "$BASE_URL/usage" -H "Authorization: Bearer $DRAKE_API_KEY"

# Ответ начинается с object="usage" и содержит status, spent_usd, limit_usd,
# remaining_usd, expires_at, окна 5h/1d/7d, today и массив daily.

import json
import os
from urllib.request import Request, urlopen

request = Request('https://drakezakuru.com/v1' + "/usage",
                  headers={"Authorization": "Bearer " + os.environ["DRAKE_API_KEY"]})
with urlopen(request) as response:
    usage = json.load(response)
print(usage["status"], usage["spent_usd"], usage["windows"])

# GET /v1/usage возвращает статистику ключа, не баланс аккаунта.

const response = await fetch('https://drakezakuru.com/v1' + "/usage", {
  headers: { Authorization: `Bearer ${process.env.DRAKE_API_KEY}` },
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const usage = await response.json();
console.log(usage.status, usage.spent_usd, usage.windows);

// GET /v1/usage возвращает статистику ключа, не баланс аккаунта.