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tensorlake

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library0.5.33pypypi✓ verified 85d ago

Tensorlake is a Python SDK for managing agent sandboxes and performing sandbox-native orchestration. It provides primitives for secure code execution, sandbox lifecycle management, and sandbox-based workflows. Current version 0.5.33, updated frequently (weekly).

pip install tensorlake
INSTALL
IMPORT
SIG · TENSORLAKE
T
tensorlake
devopspythonv0.5.33
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.

FileSystem
✓ from tensorlake import FileSystem
✗ from tensorlake import Sandbox
Image
✓ from tensorlake import Image
✗ from tensorlake import Sandbox
cli
✓ from tensorlake import cli
✗ from tensorlake import Sandbox

Initialize a sandbox using an API key from environment variable. Ensure TENSORLAKE_API_KEY is set before running.

import os from tensorlake import Sandbox sb = Sandbox( name="my-agent", api_key=os.environ.get("TENSORLAKE_API_KEY", ""), ) print(sb.id)
Debug
Known issues
breakingIn v0.5.0, the Sandbox class was moved from tensorlake.sandbox to the top-level tensorlake module. Code using `from tensorlake.sandbox import Sandbox` will break.
fix
Change import to `from tensorlake import Sandbox`.
affects: <0.5.0
gotchaAPI key is mandatory for all sandbox operations. If not provided, the SDK raises a ValueError without a clear message.
fix
Always set the TENSORLAKE_API_KEY environment variable or pass api_key parameter explicitly.
affects: >=0.5.0
gotchaSandbox names must be unique within the same workspace. Using a duplicate name silently fails or returns an existing sandbox, leading to confusion.
fix
Use unique names per sandbox, or check sandbox existence before creation with `Sandbox.get(name=...)`.
affects: >=0.5.0
Upgrade
Version history
0.5.33latest on PyPI · released Jun 7, 2026
Audit
Dependencies
openaioptionalRequired for LLM-powered agent orchestration examples.
Agent activity
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OpenAI (training)
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Resources
tensorlake — pip install tensorlake · libregistry