Data disclosure
Remote inference sends chat data to the provider
When you select a remote model, its provider may receive the current prompt, relevant conversation history, system and chat instructions, supported attachments, tool definitions and results, and retrieved excerpts needed for the request.
The provider’s retention, training, security, and account policies apply. Use a remote endpoint only when that disclosure is intentional.
Supported endpoint styles
| Type | Behavior |
|---|---|
| OpenAI-compatible | Uses the configured base URL and compatible chat or response routes. |
| LM Studio | Can use LM Studio’s native discovery and model-loading routes in addition to compatible chat APIs. |
| Ollama | Discovers and addresses models through Ollama’s local server routes. |
| OpenRouter | Uses a hosted catalog and provider routing with an API key. |
| Custom | Uses the route, headers, and model identifiers you supply. |
Secure the connection
- Prefer HTTPS with a valid certificate for traffic that leaves your device.
- On a LAN, bind the server deliberately, restrict the firewall, and do not expose an unauthenticated endpoint to the public internet.
- Treat plain HTTP as readable by other systems on that network.
- API secrets are stored in Keychain where the endpoint integration supports credential storage; do not put secrets into model names or shared screenshots.
Set up and test an endpoint
- Open Stored and choose Add remote endpoint.
- Select a provider type and enter the base URL, model identifiers, and any required credential.
- Test discovery and a small prompt before using it for sensitive work.
- Review per-model context and sampling controls exposed by that provider.
- Watch the connection state and response receipt for route or compatibility errors.
Off-grid behavior
Off-grid Mode blocks remote HTTP and HTTPS inference. Noema keeps the request local when a compatible local fallback exists; otherwise the turn explains that the selected endpoint is unavailable.