vastai-sdk: Workflow Automation for AI Agents | OpenAgentSkill

Overview

Vast.ai Python SDK — high-level API for GPU instances, volumes, serverless endpoints, and billing.

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Vast.ai Python SDK (`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.

Installation

pip install vastai

For serverless and async support:

pip install "vastai[serverless]"

Authentication

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/

Backward Compatibility

The old vastai_sdk import still works:

from vastai_sdk import VastAI  # equivalent to: from vastai import VastAI

VastAI Class (High-Level SDK)

from vastai import VastAI
vast = VastAI(api_key=None, server_url=None, retry=3, raw=False, quiet=False)

Instance Management

# 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)

# ...as a jupyter instance on a direct connection
result = vast.create_instance(id=<offer_id>, image="pytorch/pytorch:latest", disk=50,
                              jupyter=True, direct=True, jupyter_lab=True)

# 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) rentals

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

# 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()

Data Transfer

# copy() takes vast URLs: "[C.|V.]id:path", "cloud_service[.id]:path", or "local:path"
vast.copy("local:./data/", "C.12345:/workspace/data/")   # Local → instance
vast.copy("C.12345:/workspace/results/", "local:./out/") # Instance → local
vast.copy("12345:/workspace/", "67890:/workspace/")      # Instance → instance (legacy format)
vast.copy("s3.101:/data/", "C.12345:/workspace/")        # Cloud service → instance
vast.copy("V.1234:/file", "C.5678:/workspace/")          # Volume → instance
vast.copy("V.1234:/file", "s3.101:/workspace/")          # Volume → cloud service

vast.cancel_copy(dst_id=12345)                           # Cancel an in-progress copy

# Cloud sync via a saved cloud connection (see the UI settings page for connection IDs)
vast.cloud_copy(src="./data", dst="s3://bucket/path", instance=12345,
                connection=<conn_id>, transfer="Instance To Cloud")
vast.cancel_sync(dst_id=12345)

Volume copy is currently only supported for copying to other volumes, instances, or cloud services, not local. Do not use /root or / as a destination directory — it breaks ssh permissions on the instance and future copies fail. See https://vast.ai/docs/gpu-instances/data-movement#constraints.

Serverless Deployments

# List all deployments
deployments = vast.show_deployments()

# Get a deployment
deployment = vast.show_deployment(id=42)

# Delete a deployment
vast.delete_deployment(id=42)

Machine Management (Hosting)

machines = vast.show_machines()
machine = vast.show_machine(id=10)
vast.list_machine(id=10, price_gpu=0.30)
vast.unlist_machine(id=10)

SSH Keys

keys = vast.show_ssh_keys()
vast.create_ssh_key(ssh_key="ssh-rsa AAAA...")
vast.delete_ssh_key(id=5)

Team Management

members = vast.show_members()
vast.invite_member(email="user@example.com", role="developer")
vast.remove_member(id=7)

SyncClient (Low-Level Sync)

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 (SyncClient takes an InstanceConfig, not loose kwargs)
from vastai.data.instance import InstanceConfig

instance = client.create_instance(
    offer_id=<id>,
    config=InstanceConfig(image="pytorch/pytorch:latest", disk=50),
)

# List your instances
instances = client.show_instances()  # returns list[SyncInstance]

# Destroy an instance
client.destroy_instance(instance_or_id=12345)

AsyncClient (Low-Level Async)

AsyncClient provides async access to GPU offers and instances. Use as an async context manager.

import asyncio
from vastai import AsyncClient
from vastai.data.instance import InstanceConfig

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>, config=InstanceConfig(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())

Serverless Client

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())

Common Patterns

# 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)

View source ↗

File metadata

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

View original text

---
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
---

# Vast.ai Python SDK (`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`.

## Installation

```bash
pip install vastai
```

For serverless and async support:
```bash
pip install "vastai[serverless]"
```

## Authentication

The SDK reads the API key from `~/.vast_api_key` by default. You can also pass it explicitly:

```python
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/

## Backward Compatibility

The old `vastai_sdk` import still works:

```python
from vastai_sdk import VastAI  # equivalent to: from vastai import VastAI
```

## VastAI Class (High-Level SDK)

```python
from vastai import VastAI
vast = VastAI(api_key=None, server_url=None, retry=3, raw=False, quiet=False)
```

### Instance Management

```python
# 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)

# ...as a jupyter instance on a direct connection
result = vast.create_instance(id=<offer_id>, image="pytorch/pytorch:latest", disk=50,
                              jupyter=True, direct=True, jupyter_lab=True)

# 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) rentals

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

```python
# 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()
```

### Data Transfer

```python
# copy() takes vast URLs: "[C.|V.]id:path", "cloud_service[.id]:path", or "local:path"
vast.copy("local:./data/", "C.12345:/workspace/data/")   # Local → instance
vast.copy("C.12345:/workspace/results/", "local:./out/") # Instance → local
vast.copy("12345:/workspace/", "67890:/workspace/")      # Instance → instance (legacy format)
vast.copy("s3.101:/data/", "C.12345:/workspace/")        # Cloud service → instance
vast.copy("V.1234:/file", "C.5678:/workspace/")          # Volume → instance
vast.copy("V.1234:/file", "s3.101:/workspace/")          # Volume → cloud service

vast.cancel_copy(dst_id=12345)                           # Cancel an in-progress copy

# Cloud sync via a saved cloud connection (see the UI settings page for connection IDs)
vast.cloud_copy(src="./data", dst="s3://bucket/path", instance=12345,
                connection=<conn_id>, transfer="Instance To Cloud")
vast.cancel_sync(dst_id=12345)
```

Volume copy is currently only supported for copying to other volumes, instances, or cloud services, not local. Do not use `/root` or `/` as a destination directory — it breaks ssh permissions on the instance and future copies fail. See https://vast.ai/docs/gpu-instances/data-movement#constraints.

### Serverless Deployments

```python
# List all deployments
deployments = vast.show_deployments()

# Get a deployment
deployment = vast.show_deployment(id=42)

# Delete a deployment
vast.delete_deployment(id=42)
```

### Machine Management (Hosting)

```python
machines = vast.show_machines()
machine = vast.show_machine(id=10)
vast.list_machine(id=10, price_gpu=0.30)
vast.unlist_machine(id=10)
```

### SSH Keys

```python
keys = vast.show_ssh_keys()
vast.create_ssh_key(ssh_key="ssh-rsa AAAA...")
vast.delete_ssh_key(id=5)
```

### Team Management

```python
members = vast.show_members()
vast.invite_member(email="user@example.com", role="developer")
vast.remove_member(id=7)
```

## SyncClient (Low-Level Sync)

`SyncClient` provides typed, synchronous access to GPU offers and instances.

```python
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 (SyncClient takes an InstanceConfig, not loose kwargs)
from vastai.data.instance import InstanceConfig

instance = client.create_instance(
    offer_id=<id>,
    config=InstanceConfig(image="pytorch/pytorch:latest", disk=50),
)

# List your instances
instances = client.show_instances()  # returns list[SyncInstance]

# Destroy an instance
client.destroy_instance(instance_or_id=12345)
```

## AsyncClient (Low-Level Async)

`AsyncClient` provides async access to GPU offers and instances. Use as an async context manager.

```python
import asyncio
from vastai import AsyncClient
from vastai.data.instance import InstanceConfig

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>, config=InstanceConfig(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())
```

## Serverless Client

For inference endpoints (requires `pip install "vastai[serverless]"`):

```python
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())
```

## Common Patterns

```python
# 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)
```

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Permission surface may require sandboxing
SKILL.md grants access to the entire vastai:* Python namespace, including destructive and costly operations such as destroy_instance, delete_deployment, unlist_machine, create_instance, and cloud_copy, without explicit confirmation or safety warnings.
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License: MIT
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      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 74,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "SKILL.md grants access to the entire vastai:* Python namespace, including destructive and costly operations such as destroy_instance, delete_deployment, unlist_machine, create_instance, and cloud_copy, without explicit confirmation or safety warnings.",
      "The API key can be passed as a literal in code examples, which risks secret leakage in agent logs or chat history; no guidance on key scoping or rotation is provided.",
      "Safe operating boundaries are not clearly defined, such as requiring user confirmation before irreversible actions or avoiding /root and / as copy destinations.",
      "The provided SKILL.md appears truncated/incomplete at the SSH Keys section, so some documented functionality is not fully covered.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 70,
    "label": "Strong"
  },
  "supply": {
    "track": "Data, BI, and analytics",
    "scenario": "Browser automation",
    "maintenance": "15d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "SKILL.md grants access to the entire vastai:* Python namespace, including destructive and costly operations such as destroy_instance, delete_deployment, unlist_machine, create_instance, and cloud_copy, without explicit confirmation or safety warnings.",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "The API key can be passed as a literal in code examples, which risks secret leakage in agent logs or chat history; no guidance on key scoping or rotation is provided."
  ],
  "agent_contract": {
    "task_input": "Use vastai-sdk in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 63/100 Manual review",
      "Audit: 74/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "vast-ai-vastai-sdk (vastai-sdk)",
      "install_command": "npx skills add vast-ai/vast-cli --skill vastai-sdk",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "vast-ai-vastai-sdk",
      "task": "Use vastai-sdk in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/vast-ai-vastai-sdk",
    "api": "https://www.openagentskill.com/api/agent/skills/vast-ai-vastai-sdk",
    "audit": "https://www.openagentskill.com/skills/vast-ai-vastai-sdk/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=vast-ai-vastai-sdk&task=Use%20vastai-sdk%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20vastai-sdk%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20vastai-sdk%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/vast-ai-vastai-sdk/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/vast-ai-vastai-sdk"
  }
}

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Creator: vast-ai
Source: vast-ai/vast-cli
Indexed by: OpenAgentSkill community index

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