Set Up an OpenAI-Compatible Endpoint
Set Up an OpenAI-Compatible Endpoint
Use the custom OpenAI-compatible provider for servers that implement /v1/chat/completions or a compatible /v1/responses API.
Examples include vLLM, TensorRT-LLM, llama.cpp, LocalAI, and other compatible servers.
The agent connects to inference.local inside the sandbox.
OpenShell forwards that traffic to the endpoint configured during onboarding.
Start the Server
Start the compatible server before onboarding.
The following example starts vLLM on port 8000.
Port 8000 is one of NemoClaw’s bundled host-gateway ports.
The examples on this page listen on every IPv4 interface so both host-side onboarding and a containerized gateway can reach the server.
When the server does not require authentication, use a host firewall with default-deny inbound rules.
Allow TCP port 8000 only from the OpenShell Docker subnet to its gateway address, keep loopback access, and deny the port on every other interface.
Do not expose the port to your LAN or the internet.
Run Onboarding
Start the onboard wizard.
Select Other OpenAI-compatible endpoint. Enter the server base URL and the model ID reported by the server.
Use a host-routable URL such as http://localhost:8000/v1 when you want onboarding to verify the API, tool-calling, and streaming paths before gateway registration.
To qualify for automatic rewriting, an HTTP endpoint URL must use the exact loopback host localhost, 127.0.0.1, or [::1].
Automatic rewriting is limited to NemoClaw’s bundled host-gateway ports: 8000, 11434, and 11435.
NemoClaw validates the entered URL from the host and registers the OpenShell gateway route through host.openshell.internal:<port> for sandbox traffic.
Sandbox inference requests continue to use the base inference.local policy, so the managed compatible-endpoint route does not require adding the local-inference preset.
NemoClaw leaves URLs without an explicit port, URLs on :80 or another privileged port, and URLs on unsupported ports unchanged.
Those URLs require a separately compatible runtime topology and network policy.
This rewrite depends on an OpenShell topology that resolves host.openshell.internal inside the sandbox; if that bridge is unavailable, onboarding can still validate the host URL, but nemohermes <name> status is the authoritative runtime check.
Make sure the server listens on an address reachable from containers, such as 0.0.0.0; a server bound only to 127.0.0.1 can still be unreachable from the sandbox route.
If you manually enter a sandbox-internal alias such as http://host.openshell.internal:8000/v1, host-side endpoint probing is skipped during onboarding.
Use a host-routable endpoint such as localhost when you need onboarding to verify the API, tool-calling, and streaming paths before gateway registration.
Otherwise, verify the runtime route after onboarding with nemohermes <name> status and a short agent request.
For an HTTP URL using the exact host localhost, 127.0.0.1, or [::1] and port 8000, 11434, or 11435, the API key prompt says that pressing Enter selects no authentication.
Other URLs still require COMPATIBLE_API_KEY.
Refer to Choose a Compatible Inference API for the probe order and runtime API selection.
Supply a Portable Inference Descriptor
A host-side activation component can select a compatible endpoint for the portable experimental profile. The component must write the descriptor before the installer or onboarding command starts. The activation component owns authentication to the descriptor source and writes only the five resolved inference fields.
The descriptor contains an API key.
Use a real /run/nemoclaw directory owned by root or the user who runs NemoClaw.
Do not permit group or other users to write that directory.
Publish the descriptor only at /run/nemoclaw/portable-inference.json.
Use a regular file with one hard link, mode 0600, and ownership by the user who runs NemoClaw.
Do not add descriptor-source locations or source credentials to the descriptor.
Do not include the descriptor or its values in a repository, image, log, shell argument, artifact, or activation-component persistent state.
Use a short-lived API key and set expiresAt to that credential’s expiration time.
Create a temporary regular file in /run/nemoclaw with the required owner and mode 0600.
Write the complete JSON.
Close the temporary file.
Rename that file to /run/nemoclaw/portable-inference.json.
This atomic replacement prevents NemoClaw from reading a partial descriptor.
The descriptor uses this schema:
Each field has one required purpose:
Run the portable installer after the final descriptor is available:
The portable profile handles the descriptor as follows:
OpenShell keeps one active inference route. The local runner is standby only when it already exists. OpenShell does not automatically switch to that runner when the compatible endpoint is unavailable. Use Switch Inference Providers when you need to change the active route.
Endpoint validation is a point-in-time onboarding check, not continuous health monitoring.
During onboarding, NemoClaw sends an authenticated Chat Completions request for the selected model.
After route setup, applicable flows also verify that the sandbox receives non-empty assistant content through inference.local.
These checks do not provide continuous availability monitoring or automatic failover.
NemoClaw consumes and deletes a descriptor only after its file metadata passes these checks.
It deletes an admitted descriptor whether it accepts or rejects the descriptor content.
During onboarding, NemoClaw holds the API key in an asynchronous in-process credential scope instead of process.env.
Unrelated child processes do not inherit the API key.
Compatible-endpoint validation reads the scoped value, and provider registration passes it explicitly to OpenShell.
After registration, OpenShell holds the provider credential and adds it to managed inference requests.
NemoClaw does not write the API key into the sandbox or its persistent state.
The upstream credential expiration still controls the registered credential’s lifetime.
The activation component must supply a new descriptor for each onboarding attempt that needs the compatible endpoint.
Serve a Raw Model File
Start a compatible server for a raw model file instead of passing the file path to NemoClaw.
The Ollama provider accepts Ollama model tags and does not accept a raw .gguf path.
The following example starts llama-server with a GGUF model.
During onboarding, select Other OpenAI-compatible endpoint.
Enter the server base URL and the model ID returned by /v1/models.
Use the model ID, not the raw file path.
For the example above, the server commonly reports NVIDIA-Nemotron3-Nano-4B-Q4_K_M.gguf as its model ID.
Run Non-Interactive Onboarding
Start the endpoint before running the non-interactive command because onboarding validates the server.
Set NEMOCLAW_REASONING=true when the endpoint serves a reasoning-only model.
Reasoning mode validates only /v1/chat/completions and does not verify tool calling or streaming.
Enable it only when the endpoint supports the capabilities your agent requires.
For the raw model example, use the ID returned by /v1/models.
Private and reserved addresses are blocked by default. To use an inference gateway on a trusted corporate network, list only its exact host and keep the endpoint URL on that host:
NemoClaw still resolves the host before probing and pins outbound validation to the complete canonical address set. An exact trusted host can return both public and supported private addresses. NemoClaw pins every canonical answer. If any answer is a disallowed private, reserved, or special-purpose address, validation rejects the endpoint instead of discarding that answer. Among private answers, NemoClaw admits only RFC1918, carrier-grade network address translation (CGNAT), and IPv6 unique local address (ULA) destinations. Link-local metadata and other reserved ranges remain blocked. An unlisted private host, a hostname suffix match, or a DNS failure also remains blocked.
Related Topics
- Choose a Compatible Inference API to select Chat Completions or Responses.
- Meet Custom Endpoint Security Requirements before saving a public custom endpoint.
- Verify the Inference Route after setup.