> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/nemoclaw/llms.txt. > For full documentation content, see https://docs.nvidia.com/nemoclaw/llms-full.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemoclaw/_mcp/server. # Set Up Task-Specific Sub-Agents > Where NemoClaw stores OpenClaw sub-agent model configuration, credentials, and workspace files inside the sandbox. OpenClaw documents the sub-agent behavior, `sessions_spawn` tool, `agents.list` configuration, tool policy, nesting, and auth model in [Sub-Agents](https://docs.openclaw.ai/tools/subagents). Use that page as the source of truth for how OpenClaw sub-agents work. This NemoClaw page covers the sandbox-specific pieces: where the OpenClaw config lives, where to put per-agent credentials, which writable workspace path agents should use, and how the Omni VLM demo maps onto those paths. ## NemoClaw Sandbox Paths NemoClaw runs OpenClaw inside an OpenShell sandbox. When adapting an OpenClaw sub-agent setup, use these paths inside the sandbox: | Path | Purpose | | --------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `/sandbox/.openclaw/openclaw.json` | OpenClaw config, including `models.providers`, `agents.defaults`, and `agents.list`. | | `/sandbox/.openclaw/.config-hash` | Hash for `openclaw.json`. Keep it in sync after manual config edits; it becomes a startup-enforced trust anchor only after the file is root-owned and read-only. | | `/sandbox/.openclaw/agents//agent/auth-profiles.json` | Per-agent provider credentials. Use this when a sub-agent calls an auxiliary provider directly. | | `/sandbox/.openclaw/workspace/` | Writable shared workspace path for files the primary agent passes to the sub-agent. | | `/tmp/gateway.log` | OpenClaw gateway log. Use it to confirm config reloads and diagnose sub-agent failures. | For file-based tasks, instruct agents to use `/sandbox/.openclaw/workspace/`. Avoid relying on legacy `.openclaw-data` paths or read-only OpenClaw paths in delegation instructions. ## Omni Vision Sub-Agent Example The [`vlm-demo`](https://github.com/brevdev/nemoclaw-demos/tree/main/vlm-demo) applies the OpenClaw sub-agent pattern to a vision task. It keeps the primary `main` agent on the normal NemoClaw inference route and adds a `vision-operator` sub-agent backed by an Omni vision model. | OpenClaw field | Omni example value | | ------------------ | ------------------------------------------------------------------- | | Primary agent | `main` | | Primary model | `inference/nvidia/nemotron-3-super-120b-a12b` | | Auxiliary provider | `nvidia-omni` | | Sub-agent | `vision-operator` | | Sub-agent model | `nvidia-omni/private/nvidia/nemotron-3-nano-omni-reasoning-30b-a3b` | | Delegation tool | `sessions_spawn` | Omni is used as the specialist model for image tasks. The primary orchestration model remains responsible for conversation, planning, and deciding when to delegate. ## Update the Sandbox Config Fetch the current OpenClaw config from the sandbox, patch it with your auxiliary provider and `agents.list` changes, then upload it back. ```console $ export SANDBOX=my-assistant $ export DOCKER_CTR=openshell-cluster-nemoclaw $ docker exec "$DOCKER_CTR" kubectl exec -n openshell "$SANDBOX" -c agent -- cat /sandbox/.openclaw/openclaw.json > /tmp/openclaw.json ``` Create `/tmp/openclaw.updated.json` with the OpenClaw sub-agent config. For the Omni example, the demo provides `vlm-demo/vlm-subagent/openclaw-patch.py`. Upload the patched config and refresh the hash. In the default mutable state, this keeps the local hash consistent but does not make it tamper-proof; lock the config root-owned and read-only afterward if the sandbox should enforce config integrity at startup. ```console $ docker exec "$DOCKER_CTR" kubectl exec -n openshell "$SANDBOX" -c agent -- chmod 644 /sandbox/.openclaw/openclaw.json $ docker exec "$DOCKER_CTR" kubectl exec -n openshell "$SANDBOX" -c agent -- chmod 644 /sandbox/.openclaw/.config-hash $ cat /tmp/openclaw.updated.json | docker exec -i "$DOCKER_CTR" kubectl exec -i -n openshell "$SANDBOX" -c agent -- sh -c 'cat > /sandbox/.openclaw/openclaw.json' $ docker exec "$DOCKER_CTR" kubectl exec -n openshell "$SANDBOX" -c agent -- /bin/bash -c "cd /sandbox/.openclaw && sha256sum openclaw.json > .config-hash" $ docker exec "$DOCKER_CTR" kubectl exec -n openshell "$SANDBOX" -c agent -- chmod 444 /sandbox/.openclaw/openclaw.json $ docker exec "$DOCKER_CTR" kubectl exec -n openshell "$SANDBOX" -c agent -- chmod 444 /sandbox/.openclaw/.config-hash ``` Check `/tmp/gateway.log` after upload and confirm the gateway hot-reloaded the provider or `agents.list` change. ## Add Sub-Agent Credentials If the auxiliary model uses a provider key outside the normal NemoClaw inference route, put that key in the sub-agent auth profile. For the Omni example: ```text /sandbox/.openclaw/agents/vision-operator/agent/auth-profiles.json ``` Use the same provider ID that appears in `models.providers`, such as `nvidia-omni`. After uploading the auth profile, make sure the sub-agent directory is owned by the sandbox user: ```console $ docker exec "$DOCKER_CTR" kubectl exec -n openshell "$SANDBOX" -c agent -- chown -R sandbox:sandbox /sandbox/.openclaw/agents/vision-operator ``` ## Allow Auxiliary Provider Egress If the sub-agent calls a provider directly, update the OpenShell network policy for the binary that makes the request. In the Omni demo, the OpenClaw gateway runs as `/usr/local/bin/node`, so the NVIDIA endpoint policy must allow that binary. Refer to [Customize the Network Policy](/network-policy/customize-network-policy) for policy update workflows. ## Add Delegation Instructions OpenClaw handles `sessions_spawn`, but the primary agent still needs task instructions. Place those instructions in the writable workspace, for example: ```text /sandbox/.openclaw/workspace/TOOLS.md ``` The Omni demo includes `vlm-demo/vlm-subagent/TOOLS.md`, which tells `main` to delegate image tasks to `vision-operator` and tells the sub-agent to read the image path it receives. Adapt that file for other task-specific models. ## Demo Assets Use the [`vlm-demo`](https://github.com/brevdev/nemoclaw-demos/tree/main/vlm-demo) repository for runnable Omni example assets: * `vlm-subagent-guide.md` for a command-by-command walkthrough. * `vlm-subagent/openclaw-patch.py` for patching `openclaw.json`. * `vlm-subagent/auth-profiles.template.json` for the sub-agent auth profile. * `vlm-subagent/TOOLS.md` for delegation instructions. ## Next Steps Use the following resources for more information: * Refer to [OpenClaw Sub-Agents](https://docs.openclaw.ai/tools/subagents) for `sessions_spawn`, `agents.list`, nesting, tool policy, and auth behavior. * Refer to [Switch Inference Providers](/inference/switch-inference-providers) to change the primary orchestration model instead of adding a sub-agent model. * Refer to [Workspace Files](/manage-sandboxes/workspace-files) to understand per-agent workspace directories.