Skip to main content

Vast.ai Python SDK & CLI

PyPI version

The official Vast.ai Python package — provides both the CLI and SDK for managing Vast.ai GPU cloud resources, plus a serverless client for endpoint inference.

Install

pip install vastai

Note: pip install vastai-sdk also works and installs the same package. Both package names are supported for backward compatibility.

Quickstart

  1. Get your API key from https://cloud.vast.ai/manage-keys/

  2. Set your API key:

vastai set api-key YOUR_API_KEY
  1. Test a search:
vastai search offers --limit 3

You should see a short list of available GPU offers.

CLI Usage

The vastai command provides full access to the Vast.ai platform from your terminal:

vastai search offers 'gpu_name=RTX_4090 num_gpus>=4'
vastai create instance 12345 --image pytorch/pytorch --disk 32 --ssh --direct
vastai show instances
vastai stop instance 12345
vastai destroy instance 12345

Run vastai --help for a full list of commands. You can also use --help on any subcommand:

vastai search offers --help
vastai create instance --help

SDK Usage

from vastai import VastAI

vast = VastAI()  # uses VAST_API_KEY env var, or pass api_key="..."

vast.search_offers(query='gpu_name=RTX_4090 num_gpus>=4')
vast.show_instances()
vast.start_instance(id=12345)
vast.stop_instance(id=12345)

Use help(vast.search_offers) to view documentation for any method.

Migrating from vastai-sdk? The old import still works: from vastai_sdk import VastAI

Using the Serverless Client

  1. Create the client
from vastai import Serverless
serverless = Serverless() # or, Serverless("YOUR_API_KEY")
  1. Get an endpoint
endpoint = await serverless.get_endpoint("my-endpoint")
  1. Make a request
request_body = {
    "model": "Qwen/Qwen3-8B",
    "prompt" : "Who are you?",
    "max_tokens" : 100,
    "temperature" : 0.7
}
response = await serverless.request("/v1/completions", request_body)
  1. Read the response
text = response["response"]["choices"][0]["text"]
print(text)

Find more examples in the examples/ directory.

Tab Completion

Tab completion is supported in Bash and Zsh via argcomplete (installed automatically). To enable it:

activate-global-python-argcomplete

Or for a single session:

eval "$(register-python-argcomplete vastai)"

AI Agents

Vast.ai has a skill for AI coding agents (Claude Code, Cursor, Windsurf, Codex, etc.):

npx skills add vast-ai/vast-cli

This installs the Vast.ai skill so your agent can search offers, create instances, and manage GPU workflows directly. See CLI SKILL.md or SDK SKILL.md for the full reference.

Contributing

This repository is open source. If you find a bug, please open an issue. PRs are welcome.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vastai-1.5.2.tar.gz (262.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vastai-1.5.2-py3-none-any.whl (300.0 kB view details)

Uploaded Python 3

File details

Details for the file vastai-1.5.2.tar.gz.

File metadata

  • Download URL: vastai-1.5.2.tar.gz
  • Upload date:
  • Size: 262.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.13 Linux/6.17.0-1020-azure

File hashes

Hashes for vastai-1.5.2.tar.gz
Algorithm Hash digest
SHA256 ac9ce973ddb576bde496735a2e1dca58746e093fbb16036a322dbbc8dd79dd76
MD5 3de9c56669cfd8ef6027add003ad8744
BLAKE2b-256 3cd0bd85904ced6f6f02a1239ab7a80abb66c6468127f4b6299d061254a76124

See more details on using hashes here.

File details

Details for the file vastai-1.5.2-py3-none-any.whl.

File metadata

  • Download URL: vastai-1.5.2-py3-none-any.whl
  • Upload date:
  • Size: 300.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.13 Linux/6.17.0-1020-azure

File hashes

Hashes for vastai-1.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1bfc01ea5020d83086efd5bafce8a82a7b548034327fafd8f0e9c2113271aba3
MD5 56b943608031258110691f05912f4358
BLAKE2b-256 0dbb7a64ac025db2a9939f521cbc4b62f94076d650ed1ca94fbac78561d20bec

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page