ChatGPT Plugin

ATL Sandbox

Run code in cloud sandboxes

Brand: ATL Sandbox

Category: Developer Tools
Primary Subcategory: Prompt, Model & Compute Tooling

Integration details

Description

ATL Sandbox gives ChatGPT isolated cloud computers for your account. Ask in plain language and ChatGPT creates a sandbox, runs Python, Node.js, C/C++, Rust, or shell commands, and returns the results to the conversation. What you can do: - Run code in ready-made environments (Python, Node.js, GCC, Rust, Blender) or, with the developer profile, any public Linux container image. - Attach NVIDIA GPUs for CUDA, model inference, and Blender Cycles rendering. - Keep work in encrypted persistent workspaces and private object storage, and use a PostgreSQL database that belongs to your account. - Publish static websites and expose web apps on public links when you choose to share them. - Schedule recurring jobs and one-off runs, and check their history later. Who it is for: developers, analysts, students, and creators who want their assistant to run real code and keep the results. Security: every sandbox runs behind its own user-space kernel and can reach only the compute, storage, and database of the signed-in account. Infrastructure credentials never enter the conversation. Actions that change or delete data are marked so ChatGPT asks before running them. Limitations: an ATL Sandbox account is required. Accounts have usage limits on concurrent sandboxes, run time, storage, GPUs, and schedules, and running compute stops when an account reaches its limit. Instant sandboxes discard their files when stopped. Images must be linux/amd64 and include /bin/sh. Interactive terminals and Codex sessions are not available in this app. Do not paste passwords, API keys, or payment details into sandboxes.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Developer Tools
Primary Subcategory: Prompt, Model & Compute Tooling
Secondary Subcategories: None listed
Brand: ATL Sandbox
Access: Account required
First tracked: 2026-10-23
Tool count: 51
Geography: US

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Primary Subcategory

Competing in ChatGPT Prompt, Model & Compute Tooling

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Listed in alphabetical order

Primary Subcategory

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Tools

51 tools agents can invoke

Give an existing sandbox access to the user's private object storage. Adds the storage gateway address and an expiring, storage-only token to the sandbox environment (SANDBOX_STORAGE_ENDPOINT and SANDBOX_STORAGE_TOKEN). A running sandbox restarts once to pick them up, which ends its running processes; an instant sandbox also loses the files in its disposable workspace. No cloud or infrastructure credentials are placed in the sandbox.
attach_sandbox_object_storage
Request cancellation and terminate a running scheduled command on a best-effort basis.
cancel_automation_run
Prevent a queued one-shot job from starting; cancel a running attempt by run ID instead.
cancel_sandbox_job
Create an isolated one-GPU ATL sandbox. Call list_gpu_types and list_sandbox_environments first, then select gpu_type and a GPU image alias. This waits briefly, but GPU capacity can take several minutes to schedule when autoscaling starts from zero. If ready is false, keep calling wait_for_sandbox until it is true, then use run_python to verify torch.cuda or run_command with nvidia-smi. Use security_profile=developer when apt-get must install system packages; it adds only the package-manager capability set, and accepts any public image when developer_public_images is true. l4-3gb requires startup_class=instant and uses disposable storage with no checkpoint, automatic save, or restart after capacity loss. Lower-cost interruptible capacity is preferred with standard-capacity fallback.
create_gpu_sandbox
Create encrypted persistent storage owned by the authenticated user.
create_persistent_storage
Create a CPU sandbox using an administrator-approved environment image. Call list_sandbox_environments, then set image to an advertised CPU alias. Use restricted by default, or developer to permit apt-get with a limited capability set; when developer_public_images is listed as true, developer also accepts any public container image. Runtime system-package installs are ephemeral. Set memory_gib to reserve more memory; it is a fixed reservation, not a burst ceiling. startup_class=durable keeps the current encrypted persistent workspace. startup_class=instant uses a disposable workspace on platform-selected capacity, with no persistent attachment, checkpoint, automatic object save, or automatic restart after infrastructure loss. Scheduled jobs can recreate it and retry infrastructure failures. Use the provided tenant-scoped object storage gateway explicitly for any files that must survive. Creation waits briefly; if ready is false, call wait_for_sandbox until it is true.
create_sandbox
Create a restricted SandboxSchedule or desired-state SandboxController. Exec schedules may start a stopped sandbox, wait for readiness, and clean it up after the run. Durable sandboxes retain persistent storage; instant sandboxes delete their disposable runtime. Instant exec schedules retry infrastructure failures in a fresh sandbox up to max_attempts. Nonzero command exits are application results and are not retried. Infrastructure placement, identity, storage, network, and security fields are not accepted.
create_sandbox_automation
Delete a terminal one-shot job record; associated run history expires independently.
delete_sandbox_job
Delete a production copy and its private route without modifying the development sandbox.
delete_deployed_app
Permanently delete named persistent storage after exact confirmation; default storage cannot be deleted.
delete_persistent_storage
Delete sandbox compute. Instant workspace data is discarded with its Pod.
delete_sandbox
Delete sandbox compute after confirmation while retaining independently managed persistent and object storage. Sandboxes can share named tenant storage, including the default workspace. Delete non-default storage only with delete_persistent_storage after all sandbox references have been removed. Default storage is never deleted.
delete_sandbox_keep_storage
Delete one tenant-owned virtual automation without deleting its sandbox.
delete_sandbox_automation
Publish an app from a sandbox as a production copy on a public URL that anyone can open. Optionally runs build_command in the source sandbox first (it can change files there), packages source_path, and starts the app in a separate restricted sandbox. Remove the public deployment with delete_deployed_app. build_command runs from build_path, which defaults to source_path. Set build_path=/workspace when a build creates source_path as its output directory. Each production replica downloads the immutable release from tenant-isolated object storage into its disposable /workspace.
deploy_sandbox_app
Remove a temporary public route without stopping or modifying the development sandbox.
disable_sandbox_app
Return one tenant-scoped object as an MCP file reference that ChatGPT can download. Use this after list_object_artifacts or save_workspace_file_to_object_storage when the user asks to receive a generated file in the conversation. The reference grants temporary read-only access to exactly one object.
download_object_artifact
Return a workspace file as a downloadable ChatGPT artifact in one operation. Use this when the user asks to receive a generated file. workspace_path may be relative to /workspace or an absolute /workspace path. The file is copied to tenant-isolated object storage and exposed through a temporary, read-only reference; sandbox credentials and raw base64 are never returned.
download_workspace_artifact
Temporarily expose one port of a running sandbox through a random public HTTPS hostname.
expose_sandbox_app
Read one tenant-owned automation run and its bounded output.
get_automation_run
Return this authenticated user's plan, limits, and prepaid compute balance.
get_billing_account
Poll an asynchronous checkpoint or restore request until phase is Completed or Failed.
get_checkpoint_operation
Poll a long-running run_command or run_python request without replaying it.
get_command_result
Inspect one sandbox without waiting. To wait for startup, call wait_for_sandbox instead.
get_sandbox
Return the authenticated tenant's PostgreSQL status without exposing database credentials.
get_user_database
List bounded execution history for the authenticated tenant.
list_automation_runs
List GPU models and memory sizes available for new GPU sandboxes. The response intentionally describes GPU capabilities without exposing backing infrastructure.
list_gpu_types
List this sandbox's artifacts in tenant-scoped object storage.
list_object_artifacts
List the authenticated user's private object directory.
list_object_storage
List only the authenticated user's persistent storage and attachment state.
list_persistent_storage
List temporary previews and production copies owned by the authenticated user.
list_public_apps
List only the authenticated tenant's virtual schedules and controllers.
list_sandbox_automations
List environment aliases and the image sources accepted by sandbox creation. Pass an alias, or any image reference from a trusted source (for example "python:3.13-slim" or "mathworks/matlab:r2026b"), as image to create_sandbox or create_gpu_sandbox. When developer_public_images is true, security_profile=developer also accepts any public image.
list_sandbox_environments
List the authenticated tenant's retained one-shot job records.
list_sandbox_jobs
List this user's ATL sandboxes and their lifecycle state.
list_sandboxes
Publish an object directory as an immutable public static website release. The source must contain index.html. Publishing copies only this tenant's bounded source directory to a separate private origin. Returned URLs always include index.html.
publish_static_website
Read a bounded UTF-8 object from the authenticated user's private object directory.
read_object_storage_text
Read a UTF-8 artifact from this user's server-enforced object directory.
read_object_text_artifact
Read a UTF-8 artifact from the user's persistent workspace.
read_workspace_file
Register the authenticated user and provision isolated workspace and object storage.
register_user
Run Python. Long commands return a request_id that can be polled with get_command_result.
run_python
Run a command. Long commands return a request_id that can be polled with get_command_result.
run_command
Copy a bounded non-secret file to object storage and return it to ChatGPT. workspace_path may be relative to /workspace or an absolute /workspace path. The returned temporary, read-only file reference avoids requiring a second download tool call. Never copy credentials or tokens.
save_workspace_file_to_object_storage
Set the number of identical EBS-free production replicas serving an application.
scale_deployed_app
Pause or resume one tenant-owned automation using optimistic concurrency.
set_sandbox_automation_enabled
Start a stopped sandbox, waiting briefly for it. If ready is false, call wait_for_sandbox until it is.
start_sandbox
Stop compute. Instant workspace data is intentionally discarded.
stop_sandbox
Submit an immediate one-shot command against an instant sandbox. The worker starts a fresh disposable Pod, executes asynchronously, retries only infrastructure failures, and deletes the Pod after completion. Poll list_automation_runs for output and status.
submit_sandbox_job
Wait up to about 40 seconds for a starting sandbox to become ready. Call this after create or start whenever ready is false, and keep calling it until ready is true. Startup can take up to 10 minutes for a GPU sandbox; that is expected, not a failure. Never end your turn while a sandbox is starting - follow next_action, then continue the user's request.
wait_for_sandbox
Create or overwrite UTF-8 content in the user's private object directory. Never include credentials.
write_object_storage_text
Write non-secret UTF-8 text to tenant-scoped storage. Never include credentials or tokens.
write_object_text_artifact

FAQs

ATL Sandbox ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve ATL Sandbox's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are ATL Sandbox alternatives on ChatGPT?

As of 2026-10-23, ATL Sandbox competes with Adaption, Cue, DEEPBOM Artifact Evidence, EmpirioLabs AI, Hopper, Hugging Face, Hugging Face, Juno and 14 more in ChatGPT Prompt, Model & Compute Tooling, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.