bert_aegis
Released by urbas in 2026, bert_aegis is an chat model. bert_aegis is an open-weights chat model.
by urbas
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use bert_aegis in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your urbas API key. osFoundry discovers bert_aegis automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
bert_aegis is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
bert_aegis vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about bert_aegis
Is bert_aegis free to use?
bert_aegis is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use bert_aegis commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run bert_aegis locally?
Yes. bert_aegis is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is bert_aegis best at?
bert_aegis is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use bert_aegis in osFoundry?
Paste your urbas API key in the key dialog (or deploy the open weights for self-hostable models), assign bert_aegis to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by urbas on April 20, 2026. Source: https://huggingface.co/urbas/bert_aegis