GravixLayer Python SDK
Official Python client for GravixLayer. Create isolated cloud runtimes, run code and commands in them, build reusable images, and deploy agents.
pip install gravixlayer
export GRAVIXLAYER_API_KEY="your-api-key"
from gravixlayer import GravixLayer
client = GravixLayer()
sandbox = client.runtime.create() # defaults to template="base-small"
result = sandbox.run_code(code="print('Hello from GravixLayer')")
print(result.text)
sandbox.kill()
Cloud and region default to aws / us-east-1. Override with
GRAVIXLAYER_CLOUD / GRAVIXLAYER_REGION, or pass them to the client.
Docs: docs.gravixlayer.ai · Examples: examples/
Configuration
from gravixlayer import GravixLayer
client = GravixLayer(
api_key="your-api-key", # or GRAVIXLAYER_API_KEY
base_url="https://api.gravixlayer.ai",
cloud="aws",
region="us-east-1",
)
| Option | Default | |
|---|---|---|
api_key |
GRAVIXLAYER_API_KEY |
Required. |
base_url |
GRAVIXLAYER_BASE_URL, then https://api.gravixlayer.ai |
|
cloud |
GRAVIXLAYER_CLOUD, then aws |
Runtimes and template builds. |
region |
GRAVIXLAYER_REGION, then us-east-1 |
Runtimes and template builds. |
timeout |
60 |
Per request, in seconds. |
max_retries |
3 |
Transient failures only. |
Construct the client once and reuse it. Call client.warmup() at startup if
you want TCP and TLS paid before the first request that matters. HTTP/1.1 is
the default; pass http2=True for multiplexing under high concurrency.
Runtimes
A sandbox is an isolated virtual machine that boots from a template. It runs until you stop it, or until a timeout you set expires.
sandbox = client.runtime.create(
template="base-small",
env_vars={"APP_ENV": "staging"},
timeout=600,
)
Use a context manager when you want it stopped automatically:
from gravixlayer import Runtime
with Runtime.create(template="base-small") as sandbox:
print(sandbox.run_code("print(2 + 2)").text)
Code and commands
result = sandbox.run_code("print(sum(range(100)))")
print(result.text)
# Pass args when any part comes from user input — nothing in the list is
# interpreted by a shell.
sandbox.run_cmd("python", args=["--version"])
Guest egress is deny-by-default. Installing a package or reaching the internet needs a network policy.
Files
sandbox.file.write("/workspace/note.txt", "hello\n")
text = sandbox.file.read("/workspace/note.txt").content
Also: list, upload, download, write_many, move, copy, find,
replace, watch, delete. See
examples/runtimes/07_file_operations.py.
State, ports, git, SSH
# Interpreter state that survives between run_code calls.
ctx = client.runtime.create_context(sandbox.runtime_id)
client.runtime.run_code(sandbox.runtime_id, "x = 1", context_id=ctx.context_id)
# Publish a guest port on https://*.service.gravixlayer.ai
with sandbox.service(8000) as api:
print(api.web_url)
api.get("/items")
sandbox.git.clone("https://github.com/org/repo.git", "/workspace/repo", depth=1)
ssh = sandbox.enable_ssh()
print(ssh.connect_cmd)
Templates
Build an image once so runtimes start with everything already installed.
Placement follows the client (aws / us-east-1 unless you override it).
from gravixlayer import TemplateBuilder
template = (
TemplateBuilder("data-science", "Pandas and friends")
.from_image("python:3.12-slim")
.vcpu(2)
.memory(2048)
.apt_install("git")
.pip_install("pandas", "matplotlib")
.start_cmd("python -m http.server 8080")
.ready_cmd(TemplateBuilder.wait_for_port(8080), timeout_secs=300)
)
status = client.templates.build_and_wait(template)
sandbox = client.runtime.create(template=status.template_id)
Snapshots
client.snapshots.create(sandbox.runtime_id, "ready-to-work", kind="cold")
restored = client.runtime.create(snapshot="ready-to-work")
A cold snapshot stores the filesystem; a hot snapshot stores memory too, so
the restored sandbox resumes mid-process.
Agents
agent = client.agents.deploy(source="./my-agent", name="my-agent", is_public=True)
reply = client.agents.invoke(agent.agent_id, input={"prompt": "hello"})
Network policies
A sandbox starts fail-closed. Grant access explicitly:
policy = client.network_policies.create(
name="model-access",
egress_mode="allowlist",
rules=[{"destination": "api.example.com", "port": 443, "protocol": "tcp"}],
)
sandbox = client.runtime.create(
template="base-small",
network_policy_ids=[policy.id],
)
Attaching several policies applies the most restrictive of them, so adding one can only narrow access.
Secrets
provider = client.identity.providers.create(
"Model API",
secrets=[{"key": "MODEL_API_KEY", "value": "..."}],
)
sandbox = client.runtime.create(
template="base-small",
providers=[provider.id],
)
Values are write-only. What comes back is masked.
Async
import asyncio
from gravixlayer import AsyncGravixLayer
async def main():
async with AsyncGravixLayer() as client:
sandbox = await client.runtime.create(template="base-small")
result = await client.runtime.run_code(
sandbox.runtime_id, "print('hello')"
)
print(result.stdout_text)
await client.runtime.kill(sandbox.runtime_id)
asyncio.run(main())
Errors
from gravixlayer import GravixLayerError, GravixLayerRateLimitError
try:
client.runtime.create(template="base-small")
except GravixLayerRateLimitError:
...
except GravixLayerError as exc:
print(exc)
Connection failures and 429 / 502 / 503 / 504 are retried automatically.
Examples
Runnable scripts for every surface live in examples/. Start with examples/README.md.
Development
pip install -e ".[test]"
pytest tests/unit_tests
See tests/README.md for layout and live integration tests.
Support
License
Apache License 2.0 — see LICENSE. Copyright 2026 Gravix Layer.
1 maintainer
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