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- Enhanced Dockerfile with updated image labels and source. - Revised README to reflect changes in DSH Web architecture and deployment instructions. - Added Kubernetes sandbox template for DSH Web with security context and environment variables. - Updated .env.sample and CODEOWNERS for consistency. - Introduced multi-arch Docker build workflow for improved CI/CD.
179 lines
8.6 KiB
Markdown
179 lines
8.6 KiB
Markdown
# deepseek-kubernetes-sandbox based on hermes-agents-as-a-service
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Original: https://github.com/kubernetes-sigs/agent-sandbox/tree/main/examples/hermes-agents-as-a-service
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After analyzing the `hermes-agents-as-a-service` example, its core pattern maps directly onto your `dsh-web` container. The example's key mechanisms are: **`SandboxTemplate` defines a reusable Pod blueprint, `SandboxWarmPool` pre-warms instances, `SandboxClaim` lets each user claim a persistent Sandbox, and `service: true` gives each Sandbox a stable network identity for gateway routing.** Your DSH container is a strong fit for this model — it needs a persistent `DSH_HOME` (like Hermes needs a persistent data directory) and exposes a web port. The main differences are how secrets are injected and how the port is surfaced to end users.
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### 🔑 Mechanism Mapping: Hermes → DSH
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| Hermes example mechanism | Purpose | Adaptation for DSH |
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| :--- | :--- | :--- |
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| **`SandboxTemplate`** | Reusable Pod blueprint | Change image to `dsh-web:0.2.1-rc.2`, expose port `3080` |
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| **`volumeClaimTemplates`** | Auto-create a PVC per user, persisting state | Mount point becomes `/home/node/.dsh` (DSH's state directory) |
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| **`SandboxWarmPool`** | Pre-warmed instances for sub-second provisioning | Keep as-is; size the pool for expected concurrent users |
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| **`SandboxClaim` + `warmPoolRef`** | User "registration" claims a lightweight object, adopts a pooled instance | Keep exactly as-is; one Claim per DSH user |
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| **`service: true`** | Creates a headless Service per Sandbox with a stable DNS name | **Enable it** so a front-end gateway or Ingress can reliably route to each user's DSH Web |
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| **`envVarsInjectionPolicy`** | Controls whether a Claim may inject/override env vars | DSH needs `DEEPSEEK_API_KEY` injected, so either allow it or reference a Secret from the template |
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| **`operatingMode`** | Cost switch: `Running` / `Suspended` (deletes Pod, keeps PVC + Service) | Reuse directly — suspend idle DSH instances to save cost |
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### 📦 Equivalent Kubernetes Manifests
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The manifests below mirror the Hermes example's organization. Apply them in order, all in a dedicated namespace (e.g. `dsh-demo`).
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#### 1. Secret: DSH API key
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```yaml
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apiVersion: v1
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kind: Secret
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metadata:
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name: dsh-api-secret
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namespace: dsh-demo
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type: Opaque
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stringData:
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DEEPSEEK_API_KEY: "sk-..." # replace with a real key
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```
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#### 2. SandboxTemplate: DSH Web blueprint
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This is the core resource, corresponding to `10-sandboxtemplate.yaml` in the example. Key settings: **`service: true`** for stable DNS, **`volumeClaimTemplates`** to persist `/home/node/.dsh`, and a security context that runs as the non-root `node` user (UID 1000).
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```yaml
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apiVersion: extensions.agents.x-k8s.io/v1beta1
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kind: SandboxTemplate
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metadata:
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name: dsh-web-template
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namespace: dsh-demo
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spec:
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service: true # headless Service per Sandbox → stable DNS
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podTemplate:
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spec:
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securityContext:
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runAsNonRoot: true
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runAsUser: 1000
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runAsGroup: 1000
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fsGroup: 1000
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containers:
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- name: dsh-web
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image: dsh-web:0.2.1-rc.2 # replace with your registry path
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ports:
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- containerPort: 3080
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name: web
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env:
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- name: DEEPSEEK_API_KEY
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valueFrom:
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secretKeyRef:
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name: dsh-api-secret
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key: DEEPSEEK_API_KEY
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- name: DSH_PUBLIC_URL
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value: "http://localhost:3080" # change to the external URL when behind a gateway/Ingress
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volumeMounts:
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- name: dsh-home
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mountPath: /home/node/.dsh
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readinessProbe:
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httpGet:
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path: /
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port: 3080
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initialDelaySeconds: 5
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periodSeconds: 10
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livenessProbe:
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httpGet:
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path: /
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port: 3080
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initialDelaySeconds: 15
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periodSeconds: 20
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# If your cluster uses gVisor / Kata, set the runtime class here
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# runtimeClassName: gvisor
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volumeClaimTemplates:
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- metadata:
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name: dsh-home
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spec:
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accessModes: ["ReadWriteOnce"]
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resources:
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requests:
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storage: 5Gi # adjust to your DSH state size
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```
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#### 3. SandboxWarmPool: pre-warmed pool
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Corresponds to `20-sandboxwarmpool.yaml`. Pooled Sandboxes pull the image and boot ahead of time; a user Claim adopts one instantly.
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```yaml
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apiVersion: extensions.agents.x-k8s.io/v1beta1
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kind: SandboxWarmPool
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metadata:
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name: dsh-web-pool
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namespace: dsh-demo
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spec:
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replicas: 2 # number of pre-warmed instances
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sandboxTemplateRef:
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name: dsh-web-template
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```
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#### 4. SandboxClaim: per-user claim
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Corresponds to `40-claim.yaml`. Each user creates one lightweight Claim and receives a pooled instance with its own PVC and stable DNS.
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```yaml
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apiVersion: extensions.agents.x-k8s.io/v1beta1
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kind: SandboxClaim
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metadata:
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name: user-alice-dsh
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namespace: dsh-demo
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spec:
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sandboxTemplateRef:
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name: dsh-web-template
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warmPoolRef:
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name: dsh-web-pool
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# If the template allows env injection (envVarsInjectionPolicy: Allowed),
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# you can override/add variables here:
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# env:
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# - name: DSH_PUBLIC_URL
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# value: "https://alice.dsh.example.com"
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```
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### 🌐 Networking: How Users Reach DSH Web
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Unlike Hermes agents, which are mainly consumed by an internal gateway, DSH Web is a **user-facing web UI** — each Sandbox's `3080` port must be reachable by end users. Two patterns:
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#### Pattern A: Direct via headless Service (simple)
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With `service: true`, each Sandbox gets a headless Service whose DNS name is exposed in the Sandbox's `status.serviceFQDN`. You can reach it from inside the cluster via that FQDN, or add an Ingress/upper-layer gateway that routes a path to the corresponding Service.
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#### Pattern B: Gateway-proxied (recommended, mirrors Hermes's service layer)
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The Hermes example ships a ~250-line Python gateway (`gateway/gateway.py`) that handles **per-user routing, auth, and auto-waking suspended Sandboxes**. You can build a simpler equivalent for DSH:
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1. Accept external requests (e.g. `/u/{user}/**`).
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2. Look up the `status.serviceFQDN` of that user's Sandbox.
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3. Reverse-proxy to `http://{serviceFQDN}:3080`.
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4. If the Sandbox is `Suspended`, flip its `operatingMode` back to `Running`, wait for `Ready`, then proxy.
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If you don't want a gateway yet, you can manually create one Ingress per user pointing at their Service — less automated, but functional.
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### ⚙️ Key Differences and Caveats
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1. **Secret-injection policy.** The Hermes example sets `envVarsInjectionPolicy: Disallowed` to strictly limit what Claims can inject. DSH needs `DEEPSEEK_API_KEY` injected, so you have two choices:
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- **Set it to `Allowed`**, then reference the Secret from `SandboxClaim.env` (more flexible, but requires trusting Claim creators).
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- **Keep it `Disallowed`** and reference the Secret directly inside the `SandboxTemplate`'s `podTemplate` (stricter, but all users share the same key — fine for a single-tenant internal setup).
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Pick based on your multi-tenancy model.
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2. **`DSH_PUBLIC_URL` configuration.** Your entrypoint defaults to `http://localhost:3080`. When accessed via a headless Service or gateway, set `DSH_PUBLIC_URL` to the real external URL (e.g. `https://alice.dsh.example.com`), otherwise links DSH generates may be unreachable. You can override it in `SandboxClaim.env` (if injection is allowed) or rewrite URLs in the gateway.
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3. **Image pull and platform.** As with the Hermes example, push `dsh-web` to a registry reachable by the cluster. Your image is built for `amd64`; node architecture must match.
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4. **PVC size.** DSH state size (sessions, configs, etc.) depends on usage; Hermes allocated a PVC for `/opt/data`. Adjust the `storage` request in `volumeClaimTemplates` accordingly.
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5. **Auto-suspend via `operatingMode`.** Hermes's gateway includes an idle sweeper that suspends idle instances automatically. If your DSH gateway implements a similar sweeper, you get the same cost model: `Running` while active, `Suspended` when idle (PVC + Service retained), auto-woken when the user returns.
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### ✅ Deployment Order
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```bash
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kubectl create namespace dsh-demo
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kubectl apply -f 00-secret.yaml
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kubectl apply -f 10-sandboxtemplate.yaml
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kubectl apply -f 20-sandboxwarmpool.yaml
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kubectl apply -f 40-claim.yaml # one per user
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```
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After applying, watch the warm pool spin up with `kubectl -n dsh-demo get sandboxes -w`, and inspect adoption and `status.serviceFQDN` with `kubectl -n dsh-demo get sandboxclaim user-alice-dsh -o yaml`. At that point you have a platform structurally identical to the Hermes example, but running DSH Web for multiple users.
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