feat(advisory-ai): Add deployment guide, Dockerfile, and Helm chart for on-prem packaging

- Introduced a comprehensive deployment guide for AdvisoryAI, detailing local builds, remote inference toggles, and scaling guidance.
- Created a multi-role Dockerfile for building WebService and Worker images.
- Added a docker-compose file for local and offline deployment.
- Implemented a Helm chart for Kubernetes deployment with persistence and remote inference options.
- Established a new API endpoint `/advisories/summary` for deterministic summaries of observations and linksets.
- Introduced a JSON schema for risk profiles and a validator to ensure compliance with the schema.
- Added unit tests for the risk profile validator to ensure functionality and error handling.

ops/advisory-ai/helm/templates/service.yaml

@@ -0,0 +1,17 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: {{ include "stellaops-advisoryai.fullname" . }}
+  labels:
+    app.kubernetes.io/name: {{ include "stellaops-advisoryai.name" . }}
+    app.kubernetes.io/instance: {{ .Release.Name }}
+spec:
+  type: {{ .Values.service.type }}
+  selector:
+    app.kubernetes.io/name: {{ include "stellaops-advisoryai.name" . }}
+    app.kubernetes.io/instance: {{ .Release.Name }}
+  ports:
+    - name: http
+      port: {{ .Values.service.port }}
+      targetPort: {{ .Values.service.port }}
+      protocol: TCP