> ## Documentation Index
> Fetch the complete documentation index at: https://docs.coreweave.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Exécuter OpenCode dans un sandbox

> Exécutez OpenCode dans un sandbox avec W&B Serverless Inference ou un autre fournisseur de modèles.

Run OpenCode against a repository in a CoreWeave sandbox. Send a task from your
terminal, check the resulting files, and save the workspace for later. The agent
process, workspace, and commands run in the sandbox. Model requests go to your
configured provider.

## Prerequisites

Before you begin, you need the following:

* Une [clé API W\&B](https://forge.coreweave.com/settings#apikeys) pour accéder au sandbox. Ces exemples
  utilisent l’authentification W\&B.
* Un accès à un modèle via W\&B Serverless Inference ou un autre
  fournisseur OpenCode. L’accès au fournisseur et
  sa facturation sont distincts de l’accès au sandbox.
* L’URL d’un dépôt public. Pour les dépôts privés, des identifiants Git sont nécessaires dans
  le sandbox.
* `cws-agent`, installé selon ses
  [instructions d’installation](https://github.com/coreweave/cws-agent#install).

Dans votre terminal local, remplacez `[WANDB-API-KEY]` par votre clé API W\&B complète :

```bash theme={"system"}
export WANDB_API_KEY="[WANDB-API-KEY]"
unset CWSANDBOX_API_KEY
```

Supprimez la variable `CWSANDBOX_API_KEY` pour que `cws-agent` sélectionne l’authentification W\&B.

## Launch OpenCode with cws-agent

Utilisez `cws-agent` pour installer OpenCode dans un sandbox, cloner votre dépôt dans
le répertoire `/workspace/project` et configurer un montage de snapshot pour les
[snapshots du système de fichiers](/products/sandboxes/serverless/file-system-snapshots).

Choose one of the following provider options. Replace `[SANDBOX-NAME]` with a
session name containing 1 to 40 lowercase letters, digits, or hyphens. Start the
name with a letter or digit. Replace `[REPOSITORY-URL]` with your public repository URL.

### Use W\&B Serverless Inference (recommended)

W\&B Serverless Inference is the preferred provider for this guide. You can use
it to access hosted open models. You can use any model and provider supported by
OpenCode instead. Follow
[Use another model provider](#use-another-model-provider).

Complete the [W\&B Serverless Inference prerequisites](/products/inference/serverless/api-reference#prerequisites),
including a W\&B project, and check your available
[inference credits](/products/inference/serverless/usage-limits).
This example selects GLM 5.2 explicitly:

```bash theme={"system"}
cws-agent launch [SANDBOX-NAME] --agent opencode \
  --repo-url [REPOSITORY-URL] --lifetime 2h \
  --wandb --wandb-model zai-org/GLM-5.2 \
  --permission-mode native --detach
```

Le préréglage `--wandb` configure le point de terminaison d’inférence de W\&B, transmet
`WANDB_API_KEY` au sandbox et restreint OpenCode à ce fournisseur. L’agent
peut utiliser cette clé à la fois pour l’inférence et pour l’accès au sandbox. Pour choisir un autre
modèle W\&B, remplacez `zai-org/GLM-5.2` par un ID figurant dans la liste des
[modèles disponibles](/fr/products/inference/serverless/models).

### Use another model provider

To use another provider, omit `--wandb` and `--wandb-model` when you create the
sandbox. Export that provider's API key locally. For example, choose one of
these alternatives and replace the key placeholder:

<Tabs>
  <Tab title="Anthropic">
    ```bash theme={"system"}
    export ANTHROPIC_API_KEY="[ANTHROPIC-API-KEY]"
    ```
  </Tab>

  <Tab title="OpenAI">
    ```bash theme={"system"}
    export OPENAI_API_KEY="[OPENAI-API-KEY]"
    ```
  </Tab>
</Tabs>

Replace `[PROVIDER-ID]/[MODEL-ID]` in both fields with your OpenCode model
identifier, using the `anthropic/` or `openai/` provider prefix as appropriate.
The `small_model` field selects the model for lightweight tasks such as title
generation. See [OpenCode models](https://opencode.ai/docs/models/).

```bash theme={"system"}
export OPENCODE_CONFIG_CONTENT='{"model":"[PROVIDER-ID]/[MODEL-ID]","small_model":"[PROVIDER-ID]/[MODEL-ID]"}'
cws-agent launch [SANDBOX-NAME] --agent opencode \
  --repo-url [REPOSITORY-URL] --lifetime 2h \
  --env-passthrough OPENCODE_CONFIG_CONTENT \
  --permission-mode native --detach
```

If they're set, `cws-agent` forwards `ANTHROPIC_API_KEY` and `OPENAI_API_KEY`.
For providers whose keys aren't forwarded automatically, follow their
[OpenCode provider configuration](https://opencode.ai/docs/providers/) and use
`--env-passthrough [VARIABLE-NAME]` for additional environment variables.

Both launch options print `session ready.` after setup. `--detach` leaves the
sandbox running without opening the terminal interface or importing local
skills and Model Context Protocol (MCP) configuration. The 2-hour lifetime is a
wall-clock limit, including setup. Stop compute when you finish.

## Run a task and check the result

From your local terminal, ask OpenCode to write and read a file:

```bash theme={"system"}
cws-agent run [SANDBOX-NAME] \
  'Create sandbox-proof.txt in the current directory containing exactly Hello from CoreWeave followed by a newline, then read it back. Do not commit or push anything.' \
  --permission-mode native
```

This runs OpenCode without an interactive terminal. `--permission-mode native`
keeps OpenCode's configured permissions. Without it, `cws-agent` defaults to
accepting approval requests. If your OpenCode policy requires approval for the
task, use an interactive session to approve it. See
[OpenCode permissions](https://opencode.ai/docs/permissions/).

Check the actual file independently of the agent's response:

```bash theme={"system"}
cws-agent exec [SANDBOX-NAME] 'cat /workspace/project/sandbox-proof.txt'
```

The output should be `Hello from CoreWeave`. Before you stop compute, retrieve
a local copy:

```bash theme={"system"}
cws-agent exec [SANDBOX-NAME] 'cat /workspace/project/sandbox-proof.txt' > sandbox-proof.txt
```

### Optional: Work interactively

From an interactive terminal on macOS or Linux, open OpenCode in the
same workspace:

```bash theme={"system"}
cws-agent connect [SANDBOX-NAME] --permission-mode native --no-config-sync
```

The `--no-config-sync` flag skips local skills and MCP imports. Send prompts and
approve actions in OpenCode, then use `/exit` to return to your local terminal.
When you exit OpenCode, the sandbox continues to run. Repeat the connection
command to open OpenCode again. It doesn't automatically select a previous conversation.
For conversation history and resume commands, see
[`cws-agent` sessions](https://github.com/coreweave/cws-agent/blob/main/docs/sessions.md).

## Save, stop, and restore

After the agent finishes, snapshot the workspace and stop compute:

```bash theme={"system"}
cws-agent down [SANDBOX-NAME]
```

`down` saves the `/workspace` directory before stopping the sandbox. If the snapshot fails,
the sandbox remains running. Inspect the error and retry after resolving it.
To stop without waiting for an explicit snapshot, run:

```bash theme={"system"}
cws-agent down [SANDBOX-NAME] --no-snapshot
```

Don't rely on this command to save changes. Copy results elsewhere or confirm
a completed snapshot before stopping. Restore requires a completed snapshot.

To return to a workspace saved with W\&B inference, make sure `WANDB_API_KEY` is
still exported in your local terminal, then run:

```bash theme={"system"}
cws-agent restore [SANDBOX-NAME] --wandb --wandb-model zai-org/GLM-5.2 --lifetime 2h --no-config-sync
```

Use the same `--wandb-model` value you launched with. If you omit it while using
`--wandb`, restore selects the preset's default model.

For another provider, re-export its key and `OPENCODE_CONFIG_CONTENT`, then run:

```bash theme={"system"}
cws-agent restore [SANDBOX-NAME] --env-passthrough OPENCODE_CONFIG_CONTENT --lifetime 2h --no-config-sync
```

Restore creates a new sandbox from the saved workspace. Supply environment-only
credentials again. Snapshots can contain saved OpenCode logins
and conversation data, but they don't preserve running processes.

Run the file check again to confirm the `sandbox-proof.txt` file survived. Continue with
`cws-agent run` or the interactive connection command. Stop the restored sandbox
with `cws-agent down` when you finish.

## Troubleshoot

If setup or a task fails, use the following checks:

* L’authentification au sandbox échoue : vérifiez que la clé API W\&B est complète, ainsi que votre
  accès au sandbox.
* Les requêtes vers le modèle W\&B échouent : vérifiez l’accès à l’inférence, les crédits et l’ID
  du modèle. L’accès au sandbox ne suffit pas à lui seul pour accéder à l’inférence.
* Un autre fournisseur n’est pas disponible : démarrez une nouvelle session sans `--wandb`.
  Le préréglage W\&B est enregistré dans le workspace : omettre `--wandb` lors de la restauration
  ne le supprime donc pas. Pour un workspace existant, voir
  [Configuration du préréglage W\&B](https://github.com/coreweave/cws-agent/blob/main/docs/opencode.md#resume-and-restore).
* Une tâche en mode headless nécessite une approbation : connectez-vous de manière interactive et répondez aux
  invites d’approbation d’OpenCode avant de continuer.

## Next steps

For more information, see these guides:

* [Run agents on CoreWeave sandboxes](.) explains agent
  execution models and workspace lifetimes.
* [OpenCode configuration](https://opencode.ai/docs/config/) covers model,
  provider, and project settings.
* [Use the Sandbox SDK](../client/guides/execution) explains how
  to manage command execution directly from your application.