Adds the normative contract every platform agent must conform to, plus a
working reference template under template/ that ticks every box out of
the box.
Spec is derived from the production agents shipped in
cjot-backstage-az/agents/ on branch sandbox/jonathan:
- agent-registry, agent-factory, decomposer, discovery-agent,
golden-path, modernization-factory, modernization-factory-v2,
policy-transformer, scaffold-agent, support-intake-agent, the-watcher
Contents:
- SPEC.md normative contract (13 sections + conformance checklist)
- CHANGELOG.md spec versioning (1.0.0)
- docs/
registration.md self-registration with the agent-gateway
observability.md OTel logs/metrics/traces wiring
manifest.md /.well-known/agent.json schema + AgentSkill
serialisation (pydantic vs protobuf)
kubernetes.md k8s deployment shape, mandatory cross-refs,
per-namespace agents, resource sizing
deployment.md .image-version, ACR build, deploy scripts, rollback
deviations.md tracked debts against the spec
- template/
.env.local.example, .gitignore, .image-version (0.1.0),
Dockerfile (python:3.12-slim, non-root UID 1001, HEALTHCHECK),
requirements.txt (harness floor + optional LLM stack),
app/agent.py (Starlette entry, lifespan + self-registration,
defensive _skill_dict for pydantic vs protobuf),
app/logging_setup.py (canonical OTel log bridge — copy verbatim),
app/metrics.py (meter + example counter/histogram),
app/skills.py (AGENT_CONFIG + AgentSkill list),
k8s/configmap.yaml + deployment.yaml (Deployment + Service,
OTel annotations + 6-var env block,
agents-sa + agents-kv-spc bindings),
scripts/deploy.sh (auto-bump + az acr build + apply + rollout),
scripts/full-deploy.sh (preflight + deploy + post-deploy smoke),
scripts/deploy-local.sh (docker/podman + .env.local)
199 lines
6.4 KiB
Markdown
199 lines
6.4 KiB
Markdown
# Kubernetes deployment shape
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> Normative requirements: [SPEC.md §9](../SPEC.md#9-kubernetes-manifests-must)
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Every agent ships at minimum two YAML files under `k8s/`:
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- `configmap.yaml` — non-secret config (URLs, log level, port, etc.).
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- `deployment.yaml` — `Deployment` + `Service` (concatenated with `---`).
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The reference template under [`../template/k8s/`](../template/k8s/) is a copy-and-fill skeleton.
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## ConfigMap
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```yaml
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: <agent-name>-config
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namespace: agents
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data:
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# Required — see docs/registration.md
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REGISTRY_URL: "http://agent-gateway.agents.svc.cluster.local"
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AGENT_SELF_URL: "http://<agent-name>.agents.svc.cluster.local"
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# Standard knobs
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LOG_LEVEL: "INFO"
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PORT: "8000"
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# Agent-specific (LLM, cache, feature flags, etc.)
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AZURE_OPENAI_DEPLOYMENT: "gpt-4o"
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AZURE_OPENAI_API_VERSION: "2024-08-01-preview"
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```
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The agent's container **MUST** consume the ConfigMap via `envFrom: configMapRef`. Inline `env:` is reserved for OTel vars and `secretKeyRef` references.
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## Deployment
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```yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: <agent-name>
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namespace: agents
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labels:
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app: <agent-name>
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component: agent
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: <agent-name>
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template:
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metadata:
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labels:
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app: <agent-name>
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azure.workload.identity/use: "true"
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annotations:
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instrumentation.opentelemetry.io/inject-python: "monitoring/otel-instrumentation"
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instrumentation.opentelemetry.io/container-names: "<agent-name>"
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spec:
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serviceAccountName: agents-sa
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containers:
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- name: <agent-name>
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image: bstagecjotdevacr.azurecr.io/<agent-name>:latest
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imagePullPolicy: Always
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ports:
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- name: http
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containerPort: 8000
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protocol: TCP
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envFrom:
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- configMapRef:
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name: <agent-name>-config
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env:
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# ─── OTel (mandatory) ───────────────────────────────────────────
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- name: OTEL_SERVICE_NAME
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value: "<agent-name>"
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- name: OTEL_RESOURCE_ATTRIBUTES
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value: "service.namespace=agents,service.version=1.0.0,deployment.environment=prod,agent.type=<role>"
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- name: OTEL_LOGS_EXPORTER
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value: "otlp"
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- name: OTEL_METRICS_EXPORTER
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value: "otlp"
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- name: OTEL_METRIC_EXPORT_INTERVAL
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value: "15000"
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- name: OTEL_SEMCONV_STABILITY_OPT_IN
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value: "http"
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# ─── Secrets from agents-kv-sync (Key Vault sync) ───────────────
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- name: AZURE_OPENAI_ENDPOINT
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valueFrom:
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secretKeyRef:
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name: agents-kv-sync
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key: azure-openai-endpoint
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- name: AZURE_OPENAI_API_KEY
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valueFrom:
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secretKeyRef:
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name: agents-kv-sync
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key: azure-openai-api-key
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resources:
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requests:
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memory: "512Mi"
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cpu: "250m"
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limits:
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memory: "1Gi"
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cpu: "500m"
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livenessProbe:
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httpGet:
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path: /health
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port: http
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initialDelaySeconds: 20
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periodSeconds: 15
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timeoutSeconds: 5
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failureThreshold: 3
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readinessProbe:
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httpGet:
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path: /health
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port: http
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initialDelaySeconds: 10
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periodSeconds: 10
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timeoutSeconds: 3
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failureThreshold: 3
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volumeMounts:
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- name: secrets-store
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mountPath: "/mnt/secrets-store"
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readOnly: true
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volumes:
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- name: secrets-store
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csi:
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driver: secrets-store.csi.k8s.io
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readOnly: true
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volumeAttributes:
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secretProviderClass: agents-kv-spc
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: <agent-name>
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namespace: agents
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labels:
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app: <agent-name>
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spec:
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selector:
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app: <agent-name>
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ports:
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- name: http
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port: 80
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targetPort: 8000
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protocol: TCP
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type: ClusterIP
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```
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## Mandatory cross-references
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These names are platform conventions and **MUST** be used as-written:
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| Name | Kind | Purpose |
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|---|---|---|
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| `agents` | Namespace | All agents live here unless they have a strong domain reason for their own namespace. |
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| `agents-sa` | ServiceAccount | Workload-identity bound to the agents Key Vault. |
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| `agents-kv-sync` | Secret | Synced from Key Vault by the SecretProviderClass. Source of `secretKeyRef` values. |
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| `agents-kv-spc` | SecretProviderClass | Mounts Key Vault into `/mnt/secrets-store` and rotates the synced Secret. |
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| `monitoring/otel-instrumentation` | Instrumentation CR | OTel SDK init container injection. |
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## Probes
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Tune the timing per agent — these are sane defaults:
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| Probe | Purpose | `initialDelaySeconds` | `periodSeconds` | `failureThreshold` |
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|---|---|---|---|---|
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| `liveness` | Restart hung pod. | 20 | 15 | 3 |
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| `readiness` | Hold traffic until manifest is serving. | 10 | 10 | 3 |
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Agents with heavy startup work (large LangGraph compile, prompt caches, model warm-ups) **SHOULD** raise `initialDelaySeconds` rather than reduce `failureThreshold`.
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## Per-namespace agents
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Some agents (e.g. `modernization-factory-v2`) run in their own namespace. When they do:
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- The `serviceAccountName` **MUST** be created in that namespace and bound to the same workload identity (`agents-sa` is conventional, even when the namespace differs).
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- `OTEL_RESOURCE_ATTRIBUTES`'s `service.namespace` **MUST** match the namespace.
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- `AGENT_SELF_URL` **MUST** point to the cross-namespace FQDN (`http://<agent>.<namespace>.svc.cluster.local`); this is allow-listed by the gateway as long as the host ends in `.svc.cluster.local`.
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## Resource sizing reference
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Observed in production:
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| Agent class | CPU req / lim | Mem req / lim |
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|---|---|---|
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| Stateless small (e.g. `support-intake-agent`) | 100m / 250m | 256Mi / 512Mi |
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| Standard LLM agent (`policy-transformer`, `decomposer`) | 250m / 500m | 512Mi / 1Gi |
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| Heavy workflow (`golden-path`, `modernization-factory-v1`) | 500m–1 / 1–2 | 1Gi–2Gi / 2Gi–4Gi |
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When in doubt start with the *Standard* row and revisit after one week of production traffic.
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