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Intel® AI for Enterprise Agent Toolkit — v1.1.0
Highlights
- Rack-scale deployment — a new deployment tier for multi-rack clusters with 100G fabric networking and NVIDIA GPU (B300 HGX) support
- Smarter inference routing — a new Semantic Router and a Hybrid/Efficiency Router for content-aware, intelligent request routing
- Content-safety Guardrails — a pluggable safety layer on the inference path
- Broader hardware and runtime support — Intel Arc Battlemage (BMG) XPU as a compute platform support
- Stronger workload isolation — Kata Containers (Firecracker/QEMU) microVM sandboxing and an NVIDIA OpenShell sandbox provider
- More accurate resource sizing — CPU and tensor-parallel allocation for inference workloads is now derived per model and per node topology, instead of a generic cluster-wide estimate
- Operational safety nets — preflight and post-deploy health validation, and a full container/IaC security scan in CI
✨ New Features
Deployment & Infrastructure
- Rack-scale deployment tier: 100G networking with BGP/ECMP routing, Clos and hub-and-spoke topologies, multi-master control plane, and optional Ceph-backed storage, driven by a declarative rack profile.
- Topology-aware CPU sizing: CPU and memory allocation for inference workloads is now computed per node and per model based on real NUMA topology, replacing a single generic allocation used previously.
Inference & Models
- vLLM Semantic Router: optional, content-aware routing of inference requests to the most appropriate backend.
- Hybrid/Efficiency Router: an optional intelligent routing strategy in the GenAI Gateway that selects between backends based on observed performance.
- New CPU model support: Qwen/Qwen3.6-35B-A3B model supported by the toolkit.
- vLLM upgraded to v0.28.0 across all CPU, GPU, and XPU deployment paths.
- OpenVINO Model Server (OVMS) as a selectable serving engine for Docker deployments —
vllmremains the default; switching requires no client-side changes. - Intel Arc Battlemage (BMG) XPU support: a third compute platform option alongside CPU and GPU, with six selectable models.
Safety & Security
- Content-safety Guardrails: an optional, model-agnostic safety guardrail that can be registered into the gateway without redeploying it, and now receives the same topology-aware sizing as served models.
Agent Sandbox
- Kata Containers microVM sandboxing (Firecracker or QEMU) for stronger, VM-level workload isolation.
- NVIDIA OpenShell sandbox provider (optional): default-deny network egress, fine-grained policy enforcement, and secure credential handling for sandboxed agent workloads. Includes support for running OpenCode through the GenAI Gateway inside an OpenShell sandbox.
Operations & CI
- Preflight and post-deploy health validation: automated checks of cluster and node health (kernel, kubelet, CPU/NUMA configuration, and more), with a readable health report and remediation guidance.
🔒 Security Hardening
- Disabled third-party usage telemetry by default in the bundled Langfuse component.
- OpenShell sandboxes: the gateway's master access key never leaves the gateway, and per-session credentials never enter the sandboxed workload.
- Hardened health-check automation to avoid logging sensitive values.
⬆️ Behavior Changes
New optional configuration settings
| Setting | Purpose | Default |
|---|---|---|
rack_scale_mode |
Enable rack-scale deployment tier | Off |
deploy_vllm_sr |
Enable the vLLM Semantic Router | Off |
deploy_guardrails |
Enable content-safety Guardrails | Off |
deploy_ceph |
Enable Ceph-backed storage | Off |
air_gapped |
Enable air-gapped deployment mode | Off |
deploy_kata_containers / kata_runtime |
Enable Kata Containers sandboxing (kata-fc or kata-qemu) |
Off |
deploy_openshell |
Enable the NVIDIA OpenShell sandbox provider | Off |
serving_engine (Docker only) |
Choose vllm or openvino as the model-serving engine |
vllm |
compute_platform |
Now accepts a third value, xpu, alongside cpu and gpu |
— |
⚠️ Known Limitations
Note
In this release: the vLLM Semantic Router, Kata Containers/Firecracker sandboxing, the OpenShell sandbox provider, the GenAI Gateway policy plane, NUMA-aware CPU sizing, Test coverage across topologies (multi-node clusters, proxy environments) is still being expanded for these features. Expect continued fixes and hardening in upcoming releases.
License
Licensed under the Apache License 2.0.