AutoDiscovery Modal
Package for using AutoDiscovery on Modal
Setup
The following environment variables must be set to use Modal
export MODAL_TOKEN_ID=
export MODAL_TOKEN_SECRET=
export MODAL_IMAGE_BUILDER_VERSION= # Only required for ephemeral sandbox runs
Sandbox Executor
Use the Sandbox backend when you need per-run dataset mounts and strong isolation for untrusted code.
from autodiscovery_modal import ModalSandboxIPythonBackend
from code_execution import IPythonExecutor
backend = ModalSandboxIPythonBackend.for_run_dataset(
app_name="asta-autodiscovery",
user_id="user-123",
run_id="forecasting-2026-01-06T120102Z",
bucket="myapp-datasets",
key_prefix="users/user-123/runs/forecasting-2026-01-06T120102Z/dataset/",
read_only=True,
)
executor = IPythonExecutor(backend)
result = executor.run_cell("print('hello from sandbox')")
print(result["stdout"])
1 maintainer
Metadata
1 maintainer
Release files for asta-autodiscovery-modal 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| asta_autodiscovery_modal-1.0.1.tar.gz | 5.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| asta_autodiscovery_modal-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.8 kB
Release files / asta_autodiscovery_modal-1.0.1.tar.gz
| Download URL | asta_autodiscovery_modal-1.0.1.tar.gz |
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| Size | 5.6 kB |
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SHA-256 checksum How to use checksums |
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| Size | 7.2 kB |
| Tags | Python 3 |
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