W&B Sandboxes by ngrayluna · Pull Request #2426 · wandb/docs

ngrayluna · 2026-04-07T02:17:07Z

Description

W&B Sandboxes (Private Preview). Currently documents:

Overview (what it is, high-level how it works)
Sandbox lifecycle
Create sandboxes
Run commands
File access (read/write/mount)
Secrets
Tutorial: Train PyTorch model in a sandbox
Tutorial: Invoke an agent within a sandbox

mintlify · 2026-04-07T02:17:18Z

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Project	Status	Preview	Updated (UTC)
wandb	🟢 Ready	View Preview	Apr 7, 2026, 2:19 AM

github-actions · 2026-04-07T02:19:45Z

📚 Mintlify Preview Links

🔗 View Full Preview

✨ Added (8 total)

📄 Pages (8)

File	Preview
`sandboxes.mdx`	Sandboxes
`sandboxes/create-sandbox.mdx`	Create Sandbox
`sandboxes/file-access.mdx`	File Access
`sandboxes/invoke_agent_sandbox_tutorial.mdx`	Invoke Agent Sandbox Tutorial
`sandboxes/lifecycle.mdx`	Lifecycle
`sandboxes/mltrain_in_sandbox_tutorial.mdx`	Mltrain In Sandbox Tutorial
`sandboxes/run-commands.mdx`	Run Commands
`sandboxes/secrets.mdx`	Secrets

📝 Changed (1 total)

⚙️ Other (1)

File
`docs.json`

🤖 Generated automatically when Mintlify deployment succeeds
📍 Deployment: e739e37 at 2026-04-07 02:51:57 UTC

github-actions · 2026-04-07T02:20:02Z

🔗 Link Checker Results

⚠️ Some issues were detected

Checked against: https://wb-21fd5541-sandboxes.mintlify.app

Summary

Status	Count
🔍 Total	30
✅ Successful	9
⏳ Timeouts	0
🔀 Redirected	0
👻 Excluded	20
❓ Unknown	0
🚫 Errors	1
⛔ Unsupported	0

Errors per input

Errors in sandboxes.mdx

[404] https://docs.coreweave.com/products/coreweave-sandbox/client/overview | Rejected status code: 404 Not Found (configurable with "accept" option)

Full Github Actions output

trane293 · 2026-04-07T03:34:54Z

Review

Overall the docs are well-structured and cover the right topics. The API patterns are mostly accurate against the SDK. Flagging the following issues before merge.

Must Fix

1. wait_until_complete() missing .result() call
Files: sandboxes/lifecycle.mdx (line 63), sandboxes/run-commands.mdx (line 23)

Both show:

sandbox.wait_until_complete(timeout=3600.0)
print(f"Exit code: {sandbox.returncode}")

wait_until_complete() returns an OperationRef[Sandbox], not Sandbox. Without .result(), the call doesn't block and sandbox.returncode will be None. The SDK's own docstring shows the correct pattern:

sandbox.wait_until_complete(timeout=3600.0).result()
print(f"Exit code: {sandbox.returncode}")

2. Credential propagation claim is inaccurate
File: sandboxes.mdx (line 12)

"your W&B credentials work automatically, and sandbox sessions can report metrics to an active W&B run"

This is not true today. W&B credentials authenticate you to the sandbox service (creating/managing sandboxes via ATC), but they are not propagated inside the sandbox container. Code running inside the sandbox has no access to your W&B API key, so wandb.init(), wandb.log(), and Weave calls won't work without explicitly passing WANDB_API_KEY via environment_variables or the Secrets API.

Suggested rewrite: "Sandboxes authenticate using your existing W&B credentials. To use W&B or Weave inside a sandbox, pass your API key using the Secrets Manager or environment variables."

3. echo > file doesn't work without a shell
File: sandboxes/file-access.mdx (line 53)

sandbox.exec(["echo", "Hello, world.", ">", "hello.txt"]).result()

When args are passed as a list, exec() doesn't invoke a shell. The > is passed as a literal argument to echo, so no file is created and the subsequent read_file("hello.txt") would fail. Should be:

sandbox.exec(["sh", "-c", "echo 'Hello, world.' > hello.txt"]).result()

Also, Path is used on line 57 (Path("hello.txt").write_bytes(content)) but is never imported in this example.

4. LangChain agent tutorial should be replaced
File: sandboxes/invoke_agent_sandbox_tutorial.mdx

LangChain is a direct competitor. We should not be featuring their library in our docs. Beyond the competitive concern, the code has technical issues:

ToolRuntime[Context] (line 94): ToolRuntime is a dataclass, not a generic type
No version pins: create_agent was removed in LangChain v1.1.0, so pip install langchain langgraph langchain_anthropic without version constraints will break
@dataclass used for ResponseFormat where ToolStrategy typically expects a Pydantic BaseModel
Passes Anthropic API key via environment_variables instead of using the Secrets API, which contradicts the guidance on the secrets page

Recommend replacing with a framework-agnostic example, or using Weave.

5. from cwsandbox import SandboxExecutionError is a direct import from the underlying library
File: sandboxes/run-commands.mdx (line 88)

This is the only place in the docs that imports from cwsandbox directly. Every other import goes through wandb.sandbox. The issue is that wandb.sandbox doesn't re-export any exception classes from cwsandbox today (there are 12 missing). Working with Pinglei to get this fixed on the SDK side. Once that lands, this import should become from wandb.sandbox import SandboxExecutionError.

Should Fix

6. Typos

sandboxes/run-commands.mdx (line 52): "explictly" -> "explicitly", "runnig" -> "running"
sandboxes/mltrain_in_sandbox_tutorial.mdx (line 34) and sandboxes/invoke_agent_sandbox_tutorial.mdx (line 46): "documenation" -> "documentation"

7. .mdx extension in links
File: sandboxes/lifecycle.mdx (line 20)

Links use /sandboxes/create-sandbox.mdx and /sandboxes/run-commands.mdx but every other page drops the .mdx extension. Should be /sandboxes/create-sandbox and /sandboxes/run-commands.

8. Line number references off by 2
File: sandboxes/mltrain_in_sandbox_tutorial.mdx (lines 223-224)

"Lines 29-31" should be "Lines 27-29" (the three print statements). "Lines 35-36" should be "Lines 33-34" (read_file and write_bytes).

9. docs.json formatting
The new entry uses "pages" : (space before colon) while the rest of the file uses "pages":.

sandboxes/create-sandbox.mdx

iiilisan · 2026-04-07T14:03:52Z

sandboxes/lifecycle.mdx

+
+## Wait for a sandbox to start
+
+Use `Sandbox.wait()` when you want to confirm that the sandbox starts (sandbox reached RUNNING state) successfully before performing other operations, or when you want to separate startup errors from later command errors.


This is a pattern that's generally not that useful.

IIRC Under the hood, we implicitly wait on any call (exec, read, write.... ??).

with Sandbox.run() as sandbox: sandbox.exec() # waits until sandbox is ready and then calls the exec

iiilisan · 2026-04-07T14:07:02Z

sandboxes/lifecycle.mdx

+from wandb.sandbox import Sandbox
+
+with Sandbox.run("sleep", "infinity") as sandbox:
+    sandbox.stop().result()


Also a pattern that's helpful but generally not that useful.

The python context manager will clean up on exit

with ContextManagerThing as sandbox: sandbox.do_stuff() # automatically cleaned up when it hits this line (aka exits the context)

We should highlight this context manager usage since it's more ergonomic than calling stop on sandboxes

sandboxes/create-sandbox.mdx

iiilisan · 2026-04-07T14:16:19Z

sandboxes/create-sandbox.mdx

+```python
+from wandb.sandbox import Sandbox
+
+sandbox = Sandbox.run("python", "train.py")


I'd need to double check but this I think is the fire and forget pattern.
They could then get the result by calling sandbox.wait_until_complete().result()

iiilisan · 2026-04-07T14:18:45Z

sandboxes/run-commands.mdx

+from wandb.sandbox import Sandbox
+
+sandbox = Sandbox.run("python", "train.py")
+sandbox.wait_until_complete(timeout=3600.0)


result = sandbox.wait_until_complete(timeout=3600.0).result() ?

should probably highlight how to get a result if they want one.

iiilisan · 2026-04-07T14:22:13Z

sandboxes/run-commands.mdx

+from wandb.sandbox import Sandbox
+
+with Sandbox.run() as sandbox:
+    result = sandbox.exec(["pip", "install", "torch"], check=True).result()


I think we could leave the check=True out of this example for now. the param name is a little confusing about what it does and is perhaps noisy to introduce something like this without explaining it as well.

iiilisan · 2026-04-07T14:22:48Z

sandboxes/run-commands.mdx

+    print(result.stdout)
+```
+
+The `Sandbox.exec()` method runs a command inside a running sandbox and returns a `Process` object that you can use to wait for completion, read output, and inspect the exit code.


can we link to the API for Process?

iiilisan · 2026-04-07T14:25:36Z

sandboxes/file-access.mdx

@@ -0,0 +1,93 @@
+---
+title: File access


File Operations perhaps makes the most sense.

iiilisan · 2026-04-07T14:27:39Z

sandboxes/file-access.mdx

+    sandbox.write_file("hello.txt", text_file.read_bytes()).result()
+```
+
+See the `Sandbox` class reference documentation for a full list of parameters and options for [`Sandbox.write_file()`](https://docs.coreweave.com/products/coreweave-sandbox/client/ref/core/sandbox#write_file).


Generally speaking, would be good to link to the class as well. I find myself wanting to click Thing whenever I see it

iiilisan · 2026-04-07T14:32:31Z

sandboxes/file-access.mdx

+        ] 
+
+print("Starting sandbox...")
+with Sandbox.run(mounted_files=mounted_files) as sandbox:


Oh wow. This is a documentation gap in the CW docs. We'll need to update this. @NavarrePratt FYI

I deprioritized this because I don't want to push the mounting files thing that hard because it's extremely likely it changes once we get to implementing the CAIOS integration. I'd rather people use read and write file for now. I'm pretty sure this mount file thing is leftover from the swebaas hackathon idea.

iiilisan · 2026-04-07T14:34:06Z

sandboxes/invoke_agent_sandbox_tutorial.mdx

@@ -0,0 +1,179 @@
+---
+title: "Tutorial: Invoke an agent in a sandbox"
+description: "Learn how to invoke a LangChain agent within a sandbox environment"


Should we be cross-selling the WB Agent here instead of Langchain?

iiilisan · 2026-04-07T14:35:22Z

sandboxes.mdx

+
+For more in-depth examples, see:
+
+* [W&B Sandbox tutorial](/sandboxes/invoke_agent_sandbox_tutorial)


Should this be cross selling the WB-Agent? Seems weird to provide a tutorial for another company's product.

iiilisan · 2026-04-07T14:37:21Z

sandboxes/mltrain_in_sandbox_tutorial.mdx

+
+The previous code snippet does the following:
+
+1. (Lines 6 - 9) Mount files to the sandbox at startup. The `mounted_files` parameter in `Sandbox.run()` allows you to specify a list of files to mount into the sandbox at startup. Each file is represented as a dictionary with two keys: `mount_path`, which specifies the path where the file will be mounted inside the sandbox, and `file_content`, which contains the content of the file as bytes. In this example, you mount `train.py` and `requirements.txt` into the sandbox.


I wonder if these are better as inline comments. 🤷

nicholaspun-wandb · 2026-04-07T17:05:50Z

sandboxes/secrets.mdx

+    print(result.stdout)
+```
+
+## Extract a field from a structured secret


I don't think we actually support this with W&B Secrets Manager

nicholaspun-wandb · 2026-04-07T17:06:30Z

sandboxes/invoke_agent_sandbox_tutorial.mdx

+    container_image="python:3.13",
+    network=NetworkOptions(egress_mode="internet"),
+    max_lifetime_seconds=3600,
+    environment_variables={"ANTHROPIC_API_KEY": os.environ["ANTHROPIC_API_KEY"]},


Let's use a secret here to promote better practices 😅

Add W&B Sandboxes

5d8e149

ngrayluna added the DO-NOT-MERGE For PRs that should not be merged yet label Apr 7, 2026

ngrayluna changed the title ~~Feature: W&B Sandboxes~~ W&B Sandboxes Apr 7, 2026

mintlify bot deployed to staging April 7, 2026 02:19 View deployment

fix links

cfb954f

mintlify bot deployed to staging April 7, 2026 02:24 View deployment

ngrayluna added 2 commits April 6, 2026 19:31

Added intro paragraph to ml tutorial

46830bb

update links

935dc47

mintlify bot deployed to staging April 7, 2026 02:49 View deployment

Add warning about private preview

e739e37

mintlify bot deployed to staging April 7, 2026 02:51 View deployment

ngrayluna marked this pull request as ready for review April 7, 2026 02:56

ngrayluna requested a review from a team as a code owner April 7, 2026 02:56

iiilisan reviewed Apr 7, 2026

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		## Wait for a sandbox to start

		Use `Sandbox.wait()` when you want to confirm that the sandbox starts (sandbox reached RUNNING state) successfully before performing other operations, or when you want to separate startup errors from later command errors.


		For more in-depth examples, see:

		* [W&B Sandbox tutorial](/sandboxes/invoke_agent_sandbox_tutorial)


		The previous code snippet does the following:

		1. (Lines 6 - 9) Mount files to the sandbox at startup. The `mounted_files` parameter in `Sandbox.run()` allows you to specify a list of files to mount into the sandbox at startup. Each file is represented as a dictionary with two keys: `mount_path`, which specifies the path where the file will be mounted inside the sandbox, and `file_content`, which contains the content of the file as bytes. In this example, you mount `train.py` and `requirements.txt` into the sandbox.

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