Metadata-Version: 2.4
Name: anycloud-sdk
Version: 0.1.10
Summary: Python SDK for anycloud — submit jobs, run workloads on any cloud
License-Expression: MIT
Requires-Python: >=3.10
Requires-Dist: httpx>=0.27
Requires-Dist: pydantic>=2.0
Provides-Extra: all
Requires-Dist: adlfs>=2024.0; extra == 'all'
Requires-Dist: gcsfs>=2024.0; extra == 'all'
Requires-Dist: s3fs>=2024.0; extra == 'all'
Provides-Extra: aws
Requires-Dist: s3fs>=2024.0; extra == 'aws'
Provides-Extra: azure
Requires-Dist: adlfs>=2024.0; extra == 'azure'
Provides-Extra: dev
Requires-Dist: mcp>=1.0; extra == 'dev'
Requires-Dist: pytest-asyncio>=0.23; extra == 'dev'
Requires-Dist: pytest>=8.0; extra == 'dev'
Requires-Dist: respx>=0.21; extra == 'dev'
Provides-Extra: gcp
Requires-Dist: gcsfs>=2024.0; extra == 'gcp'
Provides-Extra: mcp
Requires-Dist: mcp>=1.0; extra == 'mcp'
Description-Content-Type: text/markdown

# anycloud Python SDK

Submit jobs, run workloads on any cloud.

## Install

```bash
pip install anycloud-sdk
```

For the latest pre-release version:

```bash
pip install --pre anycloud-sdk
```

## Quick start

```python
import anycloud

ac = anycloud.Client()

job = ac.submit("my-training:latest", gpu="h100:8", env={"LR": "0.01"})
job.wait()
print(job.logs())
```

## Chaining jobs

```python
prep = ac.submit("prep:latest")
prep.wait()

train = ac.submit("train:latest", gpu="h100:8", env={"LR": "0.01"})
train.wait()

eval_job = ac.submit("eval:latest")
eval_job.wait()
```

## Fan-out / fan-in

```python
from anycloud import Submission

split = ac.submit("split:latest")
split.wait()

shards = ac.submit_many([
    Submission(image="worker:latest", env={"LR": lr})
    for lr in ["0.1", "0.01", "0.001"]
])
shards.wait()

merge = ac.submit("merge:latest")
merge.wait()
```

## Decorator (run a Python function remotely)

Skip the image-build loop — decorate a function, and AnyCloud clones your repo on the remote VM:

```python
@anycloud.function(image="ghcr.io/acme/trainer:latest", gpu="h100:8")
def train(lr: float):
    ...

jobs = train.map([0.1, 0.01, 0.001])  # fan out across args
jobs.wait()
```

Requires your code in a git repo (committed + pushed) and `git` installed in the image. See [reference](https://anycloud.sh/docs/reference/python-sdk#function-decorator).

## Buckets

Chain data between jobs using bucket handles. Output buckets are auto-created by the server; `upload()` auto-creates input buckets.

```python
data  = ac.bucket("training-data")
model = ac.bucket("model-output")

data.upload("~/datasets/imagenet")  # auto-creates bucket

prep  = ac.submit("prep:latest", input=data, output=model)
prep.wait()

train = ac.submit("train:latest", input=model, output=model, gpu="h100:8")
train.wait()

model.download("~/checkpoints/")
```

Install with the cloud extra for your provider: `pip install anycloud-sdk[aws]` (or `[gcp]`, `[azure]`, `[all]`).
