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vast-ai/vast-cli（新しいタブで開きます）
主要言語: Python
Vast.ai python and cli api client
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- 最終更新
- 2026/10/31
gem-hunter主要言語: Python
Vast.ai python and cli api client
Provides both the CLI and SDK for managing Vast.ai GPU cloud resources, plus a serverless client for endpoint inference.
Linux, macOS, or WSL — install the CLI with no Python required:
curl -fsSL https://vast.ai/install.sh | bashUpdate anytime with vastai update.
Windows, or using the Python SDK — install from PyPI instead:
pip install vastai
Get your API key from https://cloud.vast.ai/manage-keys/
Set your API key:
vastai set api-key YOUR_API_KEYvastai search offers --limit 3
You should see a short list of available GPU offers.
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 12345Run vastai --help for a full list of commands. You can also use --help on any subcommand:
vastai search offers --help vastai create instance --help
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.
from vastai import Serverless serverless = Serverless() # or, Serverless("YOUR_API_KEY")
endpoint = await serverless.get_endpoint("my-endpoint")
request_body = { "model": "Qwen/Qwen3-8B", "prompt" : "Who are you?", "max_tokens" : 100, "temperature" : 0.7 } response = await serverless.request("/v1/completions", request_body)
text = response["response"]["choices"][0]["text"] print(text)
Find more examples in the examples/ directory.
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.
This repository is open source. If you find a bug, please open an issue. PRs are welcome.