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vastai-sdk
Vast.ai Python SDK — high-level API for GPU instances, volumes, serverless endpoints, and billing.
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القائمة
Vast.ai Python SDK — high-level API for GPU instances, volumes, serverless endpoints, and billing.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | vastai-sdk |
| description | Vast.ai Python SDK — high-level API for GPU instances, volumes, serverless endpoints, and billing. |
| allowed-tools | Python(vastai:*) |
| compatibility | Python 3.9+ |
| metadata | {"author":"vast-ai"} |
vastai / vastai_sdk)The vastai package provides a Python SDK for managing GPU instances, volumes, serverless endpoints, and billing on Vast.ai. The vastai_sdk package is a backward-compatibility shim that re-exports vastai.
pip install vastai
For serverless and async support:
pip install "vastai[serverless]"
The SDK reads the API key from ~/.vast_api_key by default. You can also pass it explicitly:
from vastai import VastAI
vast = VastAI() # reads ~/.vast_api_key
vast = VastAI(api_key="YOUR_API_KEY") # explicit key
Get your API key from https://console.vast.ai/manage-keys/
The old vastai_sdk import still works:
from vastai_sdk import VastAI # equivalent to: from vastai import VastAI
from vastai import VastAI
vast = VastAI(api_key=None, server_url=None, retry=3, raw=False, quiet=False)
# List all your instances
instances = vast.show_instances()
# Get a single instance
instance = vast.show_instance(id=12345)
# Search GPU offers
offers = vast.search_offers(query='gpu_name=RTX_4090 num_gpus>=4 reliability>0.99')
# Create an instance from an offer
result = vast.create_instance(id=<offer_id>, image="pytorch/pytorch:latest", disk=50)
# Lifecycle
vast.start_instance(id=12345)
vast.stop_instance(id=12345)
vast.reboot_instance(id=12345)
vast.destroy_instance(id=12345)
# Label an instance
vast.label_instance(id=12345, label="my-training-run")
# Get SSH connection string
ssh_url = vast.ssh_url(id=12345) # returns "ssh -p PORT user@host"
scp_url = vast.scp_url(id=12345) # returns scp-compatible URL
Interruptible (spot) instances are priced below on-demand instances, but can be interrupted at any time by another user with a lower bid. Note: vast.search_offers(type='bid', ...) exposes min_bid, but vast.create_instance(...) defaults to on-demand at dph_total unless you pass bid_price=<floor>. Always pass bid_price after a type='bid' search, otherwise the instance will be rented as an on-demand instance/price instead of as an interruptible.
When outbid, the instance moves to stopped (not destroyed) and storage charges continue. Resume by raising the bid via vast.change_bid(id=..., price=...).
# Search GPU offers (use help(vast.search_offers) for full query syntax)
offers = vast.search_offers(query='gpu_name=RTX_3090 num_gpus>=2')
# Search volume offers
volumes = vast.search_volumes(query='...')
# Search network volumes
net_vols = vast.search_network_volumes()
# Search templates
templates = vast.search_templates()
# Search invoices
invoices = vast.search_invoices()
# List all deployments
deployments = vast.show_deployments()
# Get a deployment
deployment = vast.show_deployment(id=42)
# Delete a deployment
vast.delete_deployment(id=42)
machines = vast.show_machines()
machine = vast.show_machine(id=10)
vast.list_machine(id=10, price_gpu=0.30)
vast.unlist_machine(id=10)
keys = vast.show_ssh_keys()
vast.create_ssh_key(ssh_key="ssh-rsa AAAA...")
vast.delete_ssh_key(id=5)
members = vast.show_members()
vast.invite_member(email="user@example.com", role="developer")
vast.remove_member(id=7)
SyncClient provides typed, synchronous access to GPU offers and instances.
from vastai import SyncClient
client = SyncClient(api_key="YOUR_API_KEY") # or reads ~/.vast_api_key
# Search offers with structured filters
offers = client.search(
num_gpus=2,
gpu_name="RTX_4090",
min_reliability=0.99,
max_dph_total=2.0,
)
# Create an instance
instance = client.create_instance(
offer_id=<id>,
image="pytorch/pytorch:latest",
disk_gb=50,
)
# List your instances
instances = client.show_instances() # returns list[SyncInstance]
# Destroy an instance
client.destroy_instance(instance_or_id=12345)
AsyncClient provides async access to GPU offers and instances. Use as an async context manager.
import asyncio
from vastai import AsyncClient
async def main():
async with AsyncClient(api_key="YOUR_API_KEY") as client:
# Search offers
offers = await client.search(num_gpus=1, gpu_name="A100")
# Create instance
instance = await client.create_instance(offer_id=<id>, image="ubuntu:22.04")
# List instances
instances = await client.show_instances() # returns list[AsyncInstance]
# Destroy instance
await client.destroy_instance(instance_or_id=instance.id)
asyncio.run(main())
For inference endpoints (requires pip install "vastai[serverless]"):
import asyncio
from vastai import Serverless
async def main():
serverless = Serverless() # reads ~/.vast_api_key
# Get an endpoint
endpoint = await serverless.get_endpoint("my-endpoint")
# Make a request
response = await serverless.request("/v1/completions", {
"model": "Qwen/Qwen3-8B",
"prompt": "Who are you?",
"max_tokens": 100,
"temperature": 0.7,
})
text = response["response"]["choices"][0]["text"]
print(text)
asyncio.run(main())
# Find cheapest 4x RTX 4090 and launch a job
from vastai import VastAI
vast = VastAI()
offers = vast.search_offers(query='gpu_name=RTX_4090 num_gpus=4 reliability>0.99')
cheapest = min(offers, key=lambda o: o['dph_total'])
result = vast.create_instance(id=cheapest['id'], image="pytorch/pytorch:latest", disk=100)
print(f"Launched instance: {result['new_contract']}")
# Use help() to explore method signatures
help(vast.search_offers)
help(vast.create_instance)