Przewodnik po integracji SDK Pythona

pip install acedatacloud
# lub uv add / poetry add

pip install acedatacloud-x402

$ python -c "import importlib.metadata as m; print(m.version('acedatacloud'))"
2026.4.26.1

$ python -c "from acedatacloud import AceDataCloud, AsyncAceDataCloud; print('ok')"
ok

export ACEDATACLOUD_API_TOKEN={token}

import os, time, json
from acedatacloud import AceDataCloud

client = AceDataCloud(api_token=os.environ["ACEDATACLOUD_API_KEY"])

t0 = time.time()
res = client.openai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Reply with exactly: ADC_PY_SDK_OK"}],
    max_tokens=20,
    temperature=0,
)
print("elapsed_ms", int((time.time() - t0) * 1000))
print("id", res["id"])
print("model", res["model"])
print("content", res["choices"][0]["message"]["content"])
print("usage", json.dumps({k: v for k, v in res["usage"].items()
                            if k in ("prompt_tokens","completion_tokens","total_tokens")}))

elapsed_ms 2963
id chatcmpl-DldFdnIlhSUXINpupgsUmZL78MnBu
model gpt-4o-mini
content ADC_PY_SDK_OK
usage {"prompt_tokens": 17, "completion_tokens": 7, "total_tokens": 24}

import os, time
from acedatacloud import AceDataCloud

client = AceDataCloud(api_token=os.environ["ACEDATACLOUD_API_KEY"])

t0 = time.time()
first_chunk_ms = None
chunks = 0
collected = []

for chunk in client.openai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Count from 1 to 5, separated by single spaces, no extra text."}],
    max_tokens=30,
    temperature=0,
    stream=True,
):
    if first_chunk_ms is None:
        first_chunk_ms = int((time.time() - t0) * 1000)
    chunks += 1
    delta = (chunk.get("choices") or [{}])[0].get("delta", {}).get("content")
    if delta:
        collected.append(delta)

print("total_elapsed_ms", int((time.time() - t0) * 1000))
print("first_chunk_ms", first_chunk_ms)
print("chunks", chunks)
print("collected", "".join(collected).strip())

total_elapsed_ms 2111
first_chunk_ms 2104
chunks 12
collected 1 2 3 4 5

import os, asyncio, time
from acedatacloud import AsyncAceDataCloud

async def main():
    client = AsyncAceDataCloud(api_token=os.environ["ACEDATACLOUD_API_KEY"])
    t0 = time.time()
    res = await client.openai.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{"role": "user", "content": "Reply with exactly: ADC_PY_ASYNC_OK"}],
        max_tokens=20,
        temperature=0,
    )
    print("elapsed_ms", int((time.time() - t0) * 1000))
    print("id", res["id"])
    print("content", res["choices"][0]["message"]["content"])
    await client.close()

asyncio.run(main())

elapsed_ms 2392
id chatcmpl-DldFwRlrgtYDBpIr0T55aDQI4GlbF
content ADC_PY_ASYNC_OK

import os, time
from acedatacloud import AceDataCloud

client = AceDataCloud(api_token=os.environ["ACEDATACLOUD_API_KEY"])

t0 = time.time()
res = client.images.generate(
    provider="nano-banana",
    model="nano-banana",
    prompt="Minimalistyczne logo żółtej banana na białym tle, płaski design",
)
print("elapsed_ms", int((time.time() - t0) * 1000))
print("task_id", res.get("task_id"))
print("trace_id", res.get("trace_id"))
data = res.get("data") or []
if data:
    print("image_url", data[0].get("image_url"))

elapsed_ms 18977
task_id 9e71f40f-1579-480d-adf4-07a95450904f
trace_id 5aa21d7f-af84-48e6-9ce0-9c6c36c8e5d9
image_url https://platform.cdn.acedata.cloud/nanobanana/884e92df-a497-44e0-9681-35c7a00e0a6c.png

import os
from acedatacloud import AceDataCloud
from acedatacloud import AuthenticationError, RateLimitError, ValidationError

bad = AceDataCloud(api_token="definitely-not-a-real-token")

try:
    bad.openai.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{"role": "user", "content": "hi"}],
        max_tokens=5,
    )
except AuthenticationError as err:
    print("err_class", type(err).__name__)
    print("status", err.status_code)
    print("code", err.code)
except RateLimitError as err:
    # 429, SDK automatycznie próbuje ponownie 2 razy, a jeśli nadal nie powiedzie się, zgłasza błąd
    print("rate limited:", err.code)
except ValidationError as err:
    # 400, na przykład brakujące pola, nieistniejąca nazwa modelu
    print("bad request:", err.code, err.message)

from acedatacloud import AceDataCloud

client = AceDataCloud(
    # Jeden z wymaganych: jawny token lub zmienna środowiskowa ACEDATACLOUD_API_TOKEN
    api_token="...",

    # Podstawowy adres API platformy, domyślnie https://api.acedata.cloud
    base_url="https://api.acedata.cloud",

    # Niektóre usługi (np. metadane dashboardu) korzystają z domeny platformy
    platform_base_url="https://platform.acedata.cloud",

    # Czas oczekiwania na pojedyncze żądanie, w sekundach; domyślnie 300.0
    timeout=300.0,

    # Liczba automatycznych prób ponownego wysłania, domyślnie 2; warunki ponownego wysłania: 408 / 409 / 429 / 5xx / błąd sieciowy
    max_retries=2,

    # Niestandardowe nagłówki żądania
    headers={"x-app": "my-service/1.0"},
)

from acedatacloud import AceDataCloud
from acedatacloud_x402 import create_x402_payment_handler

client = AceDataCloud(
    payment_handler=create_x402_payment_handler(
        network="base",
        evm_signer=my_evm_signer,
        prefer_scheme="exact",   # lub "upto"
    )
)