SDK для Python (clore-ai)

The clore-ai package is the official Python SDK for the Clore.ai GPU marketplace. It wraps the entire REST API into a clean, type-safe interface with built-in rate limiting, automatic retries, and structured error handling — so you can focus on renting GPUs, not on HTTP plumbing.

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Installation

pip install clore-ai

Requirements: Python 3.9+

The package installs both the Python SDK and the clore CLI.

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Authentication

Get your API key from the Clore.ai dashboard → API section.

Option 1: Environment variable (recommended)

export CLORE_API_KEY=your_api_key_here

The SDK reads CLORE_API_KEY automatically — no code changes needed.

Option 2: CLI config file

clore config set api_key YOUR_API_KEY

This stores the key in ~/.clore/config.json.

Option 3: Pass directly in code

from clore_ai import CloreAI

client = CloreAI(api_key="your_api_key_here")

⚠️ Important: The Clore.ai API uses the auth header for authentication, not Authorization: Bearer. The SDK handles this automatically.

---

Quick Start

from clore_ai import CloreAI

client = CloreAI()
servers = client.marketplace(gpu="RTX 4090", max_price_usd=5.0)
for s in servers:
    print(f"Server {s.id}: {s.gpu_model} — ${s.price_usd:.4f}/h")

---

Sync Client (CloreAI)

Constructor

CloreAI(
    api_key: str | None = None,       # Falls back to CLORE_API_KEY env / config
    base_url: str | None = None,       # Default: https://api.clore.ai/v1
    timeout: float = 30.0,             # Request timeout in seconds
    max_retries: int = 3               # Retry attempts on rate-limit / network errors
)

The client supports context managers for automatic cleanup:

with CloreAI() as client:
    wallets = client.wallets()
    # client.close() called automatically

---

wallets()

Get your wallet balances and deposit addresses.

wallets = client.wallets()

for wallet in wallets:
    print(f"{wallet.name}: {wallet.balance:.8f}")
    if wallet.deposit:
        print(f"  Deposit: {wallet.deposit}")

Returns: List[Wallet]

Field	Type	Description
name	str	Currency name (e.g. "bitcoin", "CLORE-Blockchain", "USD-Blockchain")
balance	float | None	Current balance
deposit	str | None	Deposit address
withdrawal_fee	float | None	Withdrawal fee

---

marketplace()

Search the GPU marketplace with optional client-side filters.

# All available servers
servers = client.marketplace()

# Filter by GPU model and max price
servers = client.marketplace(
    gpu="RTX 4090",
    max_price_usd=5.0
)

# Multi-GPU rigs with plenty of RAM
servers = client.marketplace(
    min_gpu_count=4,
    min_ram_gb=128.0
)

Parameters:

Parameter	Type	Default	Description
gpu	str | None	None	Filter by GPU model (case-insensitive substring match)
min_gpu_count	int | None	None	Minimum number of GPUs
min_ram_gb	float | None	None	Minimum RAM in GB
max_price_usd	float | None	None	Maximum price per hour in USD
available_only	bool	True	Only return servers that are available to rent

Returns: List[MarketplaceServer]

Each MarketplaceServer provides convenient properties for the most common fields, plus access to the full nested data:

Property	Type	Description
id	int	Unique server ID
gpu_model	str | None	Primary GPU description (e.g. "1x NVIDIA GeForce RTX 4090")
gpu_count	int	Number of GPUs (from gpu_array)
ram_gb	float | None	RAM in GB
price_usd	float | None	On-demand price in USD
spot_price_usd	float | None	Spot price in USD
available	bool	Whether the server is available (not rented)
location	str | None	Country code from network specs

For advanced use cases, you can access the full nested structure:

Field	Type	Description
specs	ServerSpecs | None	Full hardware specs (specs.gpu, specs.ram, specs.cpu, specs.disk, specs.net, etc.)
price	ServerPrice | None	Full price object (price.usd.on_demand_usd, price.usd.spot, price.on_demand, etc.)
rented	bool | None	Whether the server is currently rented
reliability	float | None	Server reliability score
rating	ServerRating | None	Server rating (rating.avg, rating.cnt)

Note: The marketplace() endpoint is public — it works without an API key.

---

my_servers()

List servers you are providing to the Clore.ai marketplace.

my_servers = client.my_servers()

for server in my_servers:
    print(f"{server.name}: {server.gpu_model} [{server.status}]")

Returns: List[MyServer]

Property	Type	Description
id	int	Server ID
name	str | None	Server name
gpu_model	str | None	Primary GPU description
ram_gb	float | None	RAM in GB
status	str	Human-readable status: "Online", "Offline", "Disconnected", or "Not Working"
connected	bool | None	Whether the server is connected
online	bool | None	Whether the server is online
visibility	str | None	"public" or "private"

---

server_config(server_name)

Get the configuration of a specific server you host.

config = client.server_config("MyGPU")

print(f"Server: {config.name}")
print(f"GPU: {config.gpu_model}")
print(f"Min rental: {config.mrl}h")
print(f"On-demand: ${config.on_demand_price}")
print(f"Spot: ${config.spot_price}")

Parameters:

Parameter	Type	Description
server_name	str	Name of the server

Returns: ServerConfig

Property	Type	Description
name	str | None	Server name
gpu_model	str | None	Primary GPU description
mrl	int | None	Minimum rental length in hours
on_demand_price	float | None	First available on-demand USD price
spot_price	float | None	First available spot USD price
specs	ServerSpecs | None	Full hardware specifications
connected	bool | None	Whether the server is connected
visibility	str | None	"public" or "private"

---

my_orders(include_completed)

Get your current orders, optionally including completed/expired ones.

# Active orders only
orders = client.my_orders()

# Include completed orders
all_orders = client.my_orders(include_completed=True)

for order in orders:
    print(f"Order {order.id}: {order.type} — {order.status}")
    if order.pub_cluster:
        print(f"  IP: {order.pub_cluster}")
    if order.tcp_ports:
        print(f"  Ports: {order.tcp_ports}")

Parameters:

Parameter	Type	Default	Description
include_completed	bool	False	Include completed/expired orders

Returns: List[Order]

Field	Type	Description
id	int	Unique order ID
server_id	int | None	Server ID
type	str	"on-demand" or "spot"
status	str | None	Order status
image	str | None	Docker image
currency	str | None	Payment currency
price	float | None	Order price per day
pub_cluster	str | None	Public hostname/IP for access
tcp_ports	dict | None	TCP port mappings

---

spot_marketplace(server_id)

View spot market offers for a specific server.

spot = client.spot_marketplace(server_id=6)

if spot.offers:
    for offer in spot.offers:
        print(f"Order {offer.order_id}: ${offer.price}/day (server {offer.server_id})")

if spot.currency_rates_in_usd:
    for coin, rate in spot.currency_rates_in_usd.items():
        print(f"  {coin}: ${rate}")

Parameters:

Parameter	Type	Description
server_id	int	Server ID to check

Returns: SpotMarket

Field	Type	Description
offers	List[SpotOffer] | None	List of spot offers (order_id, price, server_id)
server	SpotServerInfo | None	Server info (min pricing, visibility, online status)
currency_rates_in_usd	Dict[str, float] | None	Currency exchange rates in USD

---

create_order(...)

Create a new on-demand or spot order. This is how you rent a GPU.

On-demand order

order = client.create_order(
    server_id=123,
    image="cloreai/ubuntu22.04-cuda12",
    type="on-demand",
    currency="bitcoin",
    ssh_password="MySecurePass123",
    ports={"22": "tcp", "8888": "http"}
)

print(f"Order created: {order.id}")
print(f"Connect: {order.pub_cluster}")

Spot order

order = client.create_order(
    server_id=123,
    image="cloreai/pytorch",
    type="spot",
    currency="bitcoin",
    spot_price=0.000005,
    ssh_password="MySecurePass123",
    ports={"22": "tcp"}
)

Parameters:

Parameter	Type	Required	Description
server_id	int	Yes	Server ID to rent
image	str	Yes	Docker image (e.g. "cloreai/ubuntu22.04-cuda12")
type	str	Yes	"on-demand" or "spot"
currency	str	Yes	Payment currency (e.g. "bitcoin")
ssh_password	str	No	SSH password (alphanumeric, max 32 chars)
ssh_key	str	No	SSH public key (max 3072 chars)
ports	dict	No	Port mappings, e.g. {"22": "tcp", "8888": "http"}
env	dict	No	Environment variables
jupyter_token	str	No	Jupyter notebook token (max 32 chars)
command	str	No	Shell command to run after container start
spot_price	float	Spot only	Price per day for spot orders
required_price	float	No	Lock in a specific price (on-demand only)
autossh_entrypoint	str	No	Use Clore.ai SSH entrypoint

Returns: Order

Rate limit: create_order has a special 5-second cooldown between calls. The SDK enforces this automatically.

---

cancel_order(order_id, issue)

Cancel an active order or spot offer. Optionally report an issue with the server.

# Simple cancel
client.cancel_order(order_id=38)

# Cancel with issue report
client.cancel_order(
    order_id=38,
    issue="GPU #1 was overheating and throttling"
)

Parameters:

Parameter	Type	Required	Description
order_id	int	Yes	Order ID to cancel
issue	str	No	Cancellation reason / issue report (max 2048 chars)

Returns: Dict[str, Any]

---

set_server_settings(...)

Update settings for a server you host on the marketplace.

client.set_server_settings(
    name="MyGPU",
    availability=True,
    mrl=96,
    on_demand=0.0001,
    spot=0.00000113
)

Parameters:

Parameter	Type	Required	Description
name	str	Yes	Server name
availability	bool	No	Whether the server can be rented
mrl	int	No	Minimum rental length in hours
on_demand	float	No	On-demand price per day
spot	float	No	Minimum spot price per day

Returns: Dict[str, Any]

---

set_spot_price(order_id, price)

Update the price on your spot market offer.

client.set_spot_price(order_id=39, price=0.000003)

Parameters:

Parameter	Type	Description
order_id	int	Spot order/offer ID
price	float	New price per day

Returns: Dict[str, Any]

Note: You can only lower spot prices once every 600 seconds, and by a limited step size. The API returns code: 6 with details if you exceed these limits.

---

Async Client (AsyncCloreAI)

The AsyncCloreAI client provides the same methods as CloreAI, but all return coroutines. Use it when you need concurrent API calls or are working within an async application.

Basic usage

import asyncio
from clore_ai import AsyncCloreAI

async def main():
    async with AsyncCloreAI(api_key="your_key") as client:
        wallets = await client.wallets()
        for w in wallets:
            print(f"{w.name}: {w.balance:.8f}")

asyncio.run(main())

Concurrent operations

Run multiple API calls in parallel with asyncio.gather:

import asyncio
from clore_ai import AsyncCloreAI

async def compare_gpus():
    async with AsyncCloreAI() as client:
        # Search for multiple GPU models concurrently
        rtx4090, rtx3090, a100 = await asyncio.gather(
            client.marketplace(gpu="RTX 4090"),
            client.marketplace(gpu="RTX 3090"),
            client.marketplace(gpu="A100"),
        )

        for name, servers in [("RTX 4090", rtx4090), ("RTX 3090", rtx3090), ("A100", a100)]:
            if servers:
                cheapest = min(s.price_usd or float('inf') for s in servers)
                print(f"{name}: {len(servers)} available, cheapest ${cheapest:.4f}/h")
            else:
                print(f"{name}: none available")

asyncio.run(compare_gpus())

Available methods

AsyncCloreAI supports all the same methods as CloreAI:

Method	Description
await wallets()	Get wallet balances
await marketplace(...)	Search marketplace
await my_servers()	List your hosted servers
await server_config(name)	Get server configuration
await my_orders(...)	List your orders
await spot_marketplace(server_id)	Get spot market offers
await create_order(...)	Create a new order
await cancel_order(...)	Cancel an order
await set_server_settings(...)	Update server settings
await set_spot_price(...)	Update spot price

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Error Handling

The SDK provides structured exception classes for every API error code.

from clore_ai import CloreAI
from clore_ai.exceptions import (
    CloreAPIError,      # Base class for all API errors
    AuthError,          # Code 3 — invalid API key
    RateLimitError,     # Code 5 — rate limit exceeded
    InvalidInputError,  # Code 2 — bad request data
    DBError,            # Code 1 — database error
    InvalidEndpointError,  # Code 4 — invalid endpoint
    FieldError,         # Код 6 — ошибка, привязанная к конкретному полю
)

client = CloreAI()

try:
    order = client.create_order(
        server_id=123,
        image="cloreai/ubuntu22.04-cuda12",
        type="on-demand",
        currency="bitcoin",
    )
except AuthError:
    print("Недопустимый API-ключ. Проверьте ваш CLORE_API_KEY.")
except RateLimitError:
    print("Превышен лимит запросов. SDK автоматически повторяет попытки, но вы достигли максимума попыток.")
except InvalidInputError as e:
    print(f"Неверный запрос: {e}")
except FieldError as e:
    # Ошибки с кодом 6 содержат подробности в ответе
    print(f"Ошибка поля: {e} (подробности: {e.response})")
except CloreAPIError as e:
    print(f"Ошибка API: {e} (код: {e.code})")

Коды ошибок

Код	Исключение	Description
0	—	Успех
1	DBError	Ошибка базы данных
2	InvalidInputError	Неверные входные данные
3	AuthError	Недействительный API-токен
4	InvalidEndpointError	Неверный endpoint
5	RateLimitError	Превышен лимит запросов
6	FieldError	Ошибка в конкретном поле (см. ошибка поле в ответе)

Все классы исключений наследуются от CloreAPIError и включают:

• e.code — числовой код ошибки

• e.response — полный словарь ответа API (когда доступен)

---

Ограничение частоты запросов

SDK включает встроенный ограничитель частоты, который автоматически соблюдает лимиты Clore.ai:

Endpoint	Лимит
Большинство endpoints	1 запрос/секунду
create_order	1 запрос/5 секунд

Когда API возвращает ошибку лимита (код 5), SDK применяет экспоненциальное затухание и повторяет попытки до max_retries раз (по умолчанию: 3). Вам не нужно добавлять time.sleep() между вызовами.

Как это работает

1. Перед каждым запросом ограничитель частоты ждёт, пока не пройдет минимальный интервал.

2. create_order вызовы накладывают дополнительную паузу в 5 секунд.

3. При ошибках лимита SDK увеличивает паузы экспоненциально: 1с → 2с → 4с → ...

4. После max_retries неудачных попыток, RateLimitError возникает исключение.

Настройка поведения повторных попыток

client = CloreAI(
    max_retries=5,    # Больше попыток для длительных скриптов
    timeout=60.0      # Более длительный таймаут для медленных соединений
)

---

Конфигурация

Файл конфигурации

CLI сохраняет конфигурацию в ~/.clore/config.json:

{
  "api_key": "your_api_key_here"
}

Порядок разрешения

SDK определяет API-ключ в следующем порядке:

1. api_key аргумент, переданный в конструктор

2. CLORE_API_KEY переменная окружения

3. api_key поле в ~/.clore/config.json

Environment variables

Переменная	Description
CLORE_API_KEY	API-ключ для аутентификации

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Следующие шаги

• Справочник CLI — Использование Clore.ai из терминала

• REST API — Документация по сырому API для кастомных интеграций

• On-Demand vs Spot — Понимание моделей ценообразования

• Доступные Docker-образы — Предсобранные образы для задач на GPU