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trainy-policy-nightly

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library0.1.0.dev20260430120117pypypi✓ verified 79d ago

Nightly builds of Trainy's Skypilot policy package. Provides policy management for SkyPilot-based training workloads on cloud infrastructure. Current version is 0.1.0.dev, Python 3.9+ only, updated nightly.

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pip install trainy-policy-nightly
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INSTALL
IMPORT
SIG · TRAINY-POLICY-NIGH
T
trainy-policy-nightly
devopspythonv0.1.0.dev20260430120117
harness data pending
Install & Compatibility
Where this runs

No compatibility data collected yet for this library.

Code
Verified usage

Verified import paths — ran on the pinned version, not inferred.

Policy
✓ import trainy
✗ from trainy import Policy

Basic usage: import Policy from trainy (not this nightly package) and authenticate via environment variable.

import os from trainy import Policy # Ensure AUTH_KEY is set auth_key = os.environ.get('AUTH_KEY', '') policy = Policy(auth_key=auth_key) print(policy.list())
Debug
Known issues
breakingThis is a pre-release nightly version (0.1.0.dev). APIs are unstable and may change without notice. Do not use in production.
fix
Pin to a specific stable release once available, or use trainy (stable) instead.
affects: all
gotchaThe package name (trainy-policy-nightly) is not a Python import name. It installs the 'trainy' package which may already be present in your environment. Conflicts can occur if a different version of trainy is already installed.
fix
Install this package in a virtual environment to isolate from other versions of trainy.
affects: all
deprecatedNightly builds may be replaced by stable releases. Check for a non-dev version of trainy-policy (or trainy) before relying on this package long-term.
fix
Monitor https://pypi.org/project/trainy-policy/ for stable releases.
affects: all
Upgrade
Version history
0.1.0.dev20260430120117latest on PyPI · released Apr 30, 2026
Audit
Dependencies
trainyrequiredCore package for policy orchestration
skypilotrequiredRequired for cloud cluster management
Agent activity
52 hits · last 30 days
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OpenAI (training)
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Resources
packagehttps://pypi.org/project/trainy-policy-nightly/ ↗