[DO NOT MERGE] [Metro][STIA] Update tag for release-2026.0.0

metro-ai-suite/smart-traffic-intersection-agent/docs/user-guide/get-started.md

@@ -23,7 +23,7 @@ an introduction.
 - **Registry configuration**: To pull pre-built images from a specific registry, set the `REGISTRY` and `TAG` parameters. Following is the recommended default setting.
   ```bash
   export REGISTRY="intel"
-  export TAG="1.0.0-rc2"
+  export TAG="1.0.0"
   ```
 
 

metro-ai-suite/smart-traffic-intersection-agent/docs/user-guide/get-started/deploy-with-helm.md

@@ -35,15 +35,15 @@ The following steps walk through deploying the Smart Traffic Intersection Agent
 Use the following command to pull the Helm chart:
 
 ```bash
-helm pull oci://registry-1.docker.io/intel/smart-traffic-intersection-agent --version 1.0.0-rc2-helm
+helm pull oci://registry-1.docker.io/intel/smart-traffic-intersection-agent --version 1.0.0-helm
 ```
 
 #### Step 2: Extract the `.tgz` File
 
 After pulling the chart, extract the `.tgz` file:
 
 ```bash
-tar -xvf smart-traffic-intersection-agent-1.0.0-rc2-helm.tgz
+tar -xvf smart-traffic-intersection-agent-1.0.0-helm.tgz
 ```
 
 Navigate to the extracted directory:
@@ -126,6 +126,9 @@ Deploy the Smart Traffic Intersection Agent Helm chart:
 helm install stia . -n <your-namespace> --create-namespace
 ```
 
+> **Note:** Please make sure to use the same namespace as the Smart Intersection application. Default namespace for Smart Intersection is `smart-intersection`.
+
+
 > **Note:** The VLM OpenVINO Serving pod will download and convert the model on first startup. This may take several minutes depending on network speed and model size. To avoid re-downloading the model on every install cycle, set `vlmServing.persistence.keepOnUninstall` to `true` (the default). This tells Helm to retain the model cache PVC on uninstall.
 
 ### Step 7: Verify the Deployment
@@ -225,7 +228,7 @@ helm uninstall stia -n <your-namespace>
 | Key | Description | Default |
 | --- | ----------- | ------- |
 | `trafficAgent.image.repository` | Traffic agent container image repository | `intel/smart-traffic-intersection-agent` |
-| `trafficAgent.image.tag` | Image tag | `1.0.0-rc2` |
+| `trafficAgent.image.tag` | Image tag | `1.0.0` |
 | `trafficAgent.service.type` | Kubernetes service type (`NodePort` or `ClusterIP`) | `NodePort` |
 | `trafficAgent.service.backendPort` | Backend API port | `8081` |
 | `trafficAgent.service.backendNodePort` | NodePort for backend API (only used when type is `NodePort`) | `30881` |

metro-ai-suite/smart-traffic-intersection-agent/docs/user-guide/get-started/system-requirements.md

@@ -14,7 +14,7 @@ The agent currently supports CPU- and GPU-based runs, and runs in the context of
 | Component | Minimum | Recommended |
 |---|---|---|
 | CPU | Intel® Core™ i5 or equivalent | Intel® Core™ Ultra or Intel® Xeon® processor |
-| RAM | 16 GB | 32 GB or more |
+| RAM | 32 GB | 64 GB or more |
 | Disk Space | 50 GB free | 100 GB free |
 | GPU (optional) | — | Intel® integrated GPU (iGPU) for accelerated VLM inference |
 | Network | Internet access for weather API and model downloads | — |