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Run OpenCode with NVIDIA Inference
This tutorial walks you through a realistic setup where you run OpenCode inside a NemoClaw sandbox with inference routed to NVIDIA API endpoints. Along the way, you will hit a policy denial, diagnose it from logs, write a custom policy, and configure inference routing. This is the full policy iteration loop that you will use whenever you onboard a new tool.
What You Will Learn
- Create a provider manually using the
--from-existingflag. - Write a custom policy to replace the default policy.
- Read sandbox logs to diagnose denied actions.
- Distinguish between agent traffic and userland inference.
- Set up inference routes for code running inside the sandbox.
Prerequisites
- Meet the prerequisites in the Quickstart.
NVIDIA_API_KEYenvironment variable set on your host machine with a valid NVIDIA API key.
Create the Provider
In the Claude Code tutorial, the CLI auto-discovered credentials. Here you create a provider explicitly, which gives you control over the provider name and type.
$ nemoclaw provider create --name nvidia --type nvidia --from-existing
The --from-existing flag tells the CLI to discover credentials from your local environment. It finds NVIDIA_API_KEY and stores it securely. The provider is now available to attach to any sandbox.
Verify the provider exists:
$ nemoclaw provider list
Create the Sandbox
Create a sandbox with the NVIDIA provider attached and OpenCode as the startup command:
$ nemoclaw sandbox create --name opencode-sandbox --provider nvidia --keep -- opencode
The --keep flag keeps the sandbox alive after you exit, which you need for the iteration steps ahead. The CLI creates the sandbox with the default policy, injects the NVIDIA credentials, and starts OpenCode.
Hit a Policy Denial
Try using OpenCode inside the sandbox. You will find that calls to NVIDIA inference endpoints fail. The default policy is designed around Claude Code, not OpenCode, so the required endpoints are not allowlisted.
Open a second terminal and check the logs:
$ nemoclaw sandbox logs opencode-sandbox --tail
Alternatively, launch the NemoClaw Terminal for a live view:
$ nemoclaw term
Look for lines like these:
action=deny host=integrate.api.nvidia.com binary=/usr/local/bin/opencode reason="no matching network policy"
action=deny host=opencode.ai binary=/usr/bin/node reason="no matching network policy"
action=inspect_for_inference host=integrate.api.nvidia.com binary=/bin/bash
Each log entry tells you the exact host, binary, and reason for the denial.
Understand the Denial
The default policy contains a nvidia_inference network policy entry, but it is configured for a narrow set of binaries — typically /usr/local/bin/claude and /usr/bin/node. When OpenCode makes HTTP calls through its own binary, curl, or a shell subprocess, those connections do not match any policy rule and get denied.
Two separate problems are at play:
- OpenCode's own traffic. OpenCode contacts
opencode.aifor its API andintegrate.api.nvidia.comfor inference. Neither endpoint has a matching rule for the binaries OpenCode uses. - Missing endpoint. The default policy has no entry for
opencode.aiat all. Even if the binary matched, the destination is not listed.
This is expected behavior. NemoClaw denies everything by default. You need to write a policy that explicitly allows what OpenCode needs.
Write a Custom Policy
Create a file called opencode-policy.yaml with the following content:
version: 1
inference:
allowed_routes:
- nvidia
filesystem_policy:
include_workdir: true
read_only:
- /usr
- /lib
- /proc
- /dev/urandom
- /app
- /etc
- /var/log
read_write:
- /sandbox
- /tmp
- /dev/null
landlock:
compatibility: best_effort
process:
run_as_user: sandbox
run_as_group: sandbox
network_policies:
opencode_api:
name: opencode-api
endpoints:
- host: opencode.ai
port: 443
protocol: rest
tls: terminate
enforcement: enforce
access: full
binaries:
- path: /usr/local/bin/opencode
- path: /usr/bin/node
nvidia_inference:
name: nvidia-inference
endpoints:
- host: integrate.api.nvidia.com
port: 443
protocol: rest
tls: terminate
enforcement: enforce
access: full
binaries:
- path: /usr/local/bin/opencode
- path: /usr/bin/node
- path: /usr/bin/curl
- path: /bin/bash
npm_registry:
name: npm-registry
endpoints:
- host: registry.npmjs.org
port: 443
binaries:
- path: /usr/bin/npm
- path: /usr/bin/node
- path: /usr/local/bin/npm
- path: /usr/local/bin/node
github_rest_api:
name: github-rest-api
endpoints:
- host: api.github.com
port: 443
protocol: rest
tls: terminate
enforcement: enforce
access: read-only
binaries:
- path: /usr/local/bin/opencode
- path: /usr/bin/node
- path: /usr/bin/gh
github_ssh_over_https:
name: github-ssh-over-https
endpoints:
- host: github.com
port: 443
protocol: rest
tls: terminate
enforcement: enforce
rules:
- allow:
method: GET
path: "/**/info/refs*"
- allow:
method: POST
path: "/**/git-upload-pack"
binaries:
- path: /usr/bin/git
This policy differs from the default in four key ways:
opencode_api: Allows OpenCode and Node.js to reachopencode.ai:443.- Broader
nvidia_inferencebinaries: Adds/usr/local/bin/opencode,/usr/bin/curl, and/bin/bashso OpenCode's subprocesses can reach the NVIDIA endpoint. inference.allowed_routes: Includesnvidiaso inference routing works for userland code.- GitHub access: Scoped to support OpenCode's git operations.
:::{warning}
The filesystem_policy, landlock, and process sections are static. They are set at sandbox creation time and cannot be changed on a running sandbox. To modify these, delete and recreate the sandbox. The network_policies and inference sections are dynamic and can be hot-reloaded.
:::
Apply the Policy
Push your custom policy to the running sandbox:
$ nemoclaw sandbox policy set opencode-sandbox --policy opencode-policy.yaml --wait
The --wait flag blocks until the sandbox confirms the policy is loaded.
Verify the policy revision was accepted:
$ nemoclaw sandbox policy list opencode-sandbox
The latest revision should show status loaded.
Set Up Inference Routing
So far, you have allowed the OpenCode agent to reach integrate.api.nvidia.com directly through network policy. But code that OpenCode writes and runs inside the sandbox — scripts, notebooks, applications — uses a separate mechanism called the privacy router.
Create an inference route so userland code can access NVIDIA models:
$ nemoclaw inference create \
--routing-hint nvidia \
--base-url https://integrate.api.nvidia.com \
--model-id z-ai/glm5 \
--api-key $NVIDIA_API_KEY
The policy you wrote earlier already includes nvidia in inference.allowed_routes, so no policy update is needed. If you had omitted it, you would add the route to the policy and push again.
:::{note} Network policies and inference routes are two separate enforcement points. Network policies control which hosts the agent binary can reach directly. Inference routes control where LLM API calls from userland code get routed through the privacy proxy. :::
Verify the Policy
Tail the logs again:
$ nemoclaw sandbox logs opencode-sandbox --tail
You should no longer see action=deny lines for the endpoints you added. Connections to opencode.ai, integrate.api.nvidia.com, and GitHub should show action=allow.
If you still see denials, read the log line carefully. It tells you the exact host, port, and binary that was blocked. Add the missing entry to your policy and push again with nemoclaw sandbox policy set. This observe-modify-push cycle is the normal workflow for onboarding any new tool in NemoClaw.
Clean Up
When you are finished, delete the sandbox:
$ nemoclaw sandbox delete opencode-sandbox
Next Steps
- {doc}
../safety-and-privacy/policies: Full reference on policy YAML structure, static and dynamic fields, and enforcement modes. - {doc}
../safety-and-privacy/network-access-rules: How the proxy evaluates network rules, L4 and L7 inspection, and TLS termination. - {doc}
../inference/index: Inference route configuration, protocol detection, and transparent rerouting. - {doc}
../sandboxes/providers: Provider types, credential discovery, and manual and automatic creation. - {doc}
../safety-and-privacy/security-model: The four protection layers and how they interact.