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-1.2.2.tar.gz (254.5 kB view details)

Uploaded Source

Built Distribution

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

vastai-1.2.2-py3-none-any.whl (292.4 kB view details)

Uploaded Python 3

File details

Details for the file vastai-1.2.2.tar.gz.

File metadata

  • Download URL: vastai-1.2.2.tar.gz
  • Upload date:
  • Size: 254.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.13 Linux/6.17.0-1018-azure

File hashes

Hashes for vastai-1.2.2.tar.gz
Algorithm Hash digest
SHA256 335c53b3fb3b52f0afdd4cd916a5ee8dbba720b5219a6a94e07f1cee756808b9
MD5 fc19c358305950b57d607aa3f9d1f152
BLAKE2b-256 edc7bf4ff51637ec1c15e3987f444c69716892f164c81d52393d6af8a47a55d5

See more details on using hashes here.

File details

Details for the file vastai-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: vastai-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 292.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.13 Linux/6.17.0-1018-azure

File hashes

Hashes for vastai-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a45a9d80c509c63e9b41a4d7f565982577b611c59fc1bffd000e95ddc50c904e
MD5 0cb1b7b42559bd7711418283ce2e5a55
BLAKE2b-256 9d6df1537708efcb1e76da333ed3d4f790a1a9c13b02e6c36d1f96005a940eea

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