adding name to job

.gitea/workflows/main.yaml

@@ -7,80 +7,28 @@ on:
   workflow_dispatch: {}
 
 env:
-  REGISTRY_HOST: git.ivanch.me
-  REGISTRY_USERNAME: ivanch
-  IMAGE: ${{ env.REGISTRY_HOST }}/ivanch/recommender
-  KUBE_CONFIG: ${{ secrets.KUBE_CONFIG }}
+  IMAGE: git.ivanch.me/ivanch/recommender
 
 jobs:
-  build_recommender:
-    name: Build Recommender Image
-    runs-on: ubuntu-22.04
-
-    steps:
-      - name: Check out repository
-        uses: actions/checkout@v2
-
-      - name: Log in to Container Registry
-        run: |
-          echo "${{ secrets.REGISTRY_PASSWORD }}" \
-            | docker login "${{ env.REGISTRY_HOST }}" \
-                -u "${{ env.REGISTRY_USERNAME }}" \
-                --password-stdin
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Build and Push Multi-Arch Image
-        uses: docker/build-push-action@v6
-        with:
-          push: true
-          context: .
-          platforms: linux/amd64,linux/arm64
-          tags: |
-            ${{ env.IMAGE }}:latest
-
-  deploy_recommender:
-    name: Deploy Recommender (internal)
+  build:
+    name: Build Image
     runs-on: ubuntu-amd64
-    needs: build_recommender
     steps:
-      - name: Check KUBE_CONFIG validity
-        run: |
-          if [ -z "${KUBE_CONFIG}" ] || [ "${KUBE_CONFIG}" = "" ] || [ "${KUBE_CONFIG// }" = "" ]; then
-            echo "KUBE_CONFIG is not set or is empty."
-            exit 1
-          fi
+      - uses: actions/checkout@v4
+      - name: Build and Push Multi-Arch Image
+        uses: https://git.ivanch.me/ivanch/pipeline-actions/build-and-push@main
+        with:
+          image: ${{ env.IMAGE }}
+          registry_password: ${{ secrets.REGISTRY_PASSWORD }}
+          ssh_key: ${{ secrets.SSH_KEY_DOCKERBUILD }}
 
-      - name: Check out repository
-        uses: actions/checkout@v2
-
-      - name: Download and install dependencies
-        run: |
-          apt-get update -y
-          apt-get install -y curl
-          curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
-          install -m 0755 kubectl /usr/local/bin/kubectl
-          kubectl version --client
-
-      - name: Set up kubeconfig
-        run: |
-          cd deploy
-          echo "$KUBE_CONFIG" > kubeconfig.yaml
-        env:
-          KUBE_CONFIG: ${{ env.KUBE_CONFIG }}
-
-      - name: Check connection to cluster
-        run: |
-          cd deploy
-          kubectl --kubeconfig=kubeconfig.yaml cluster-info
-
-      - name: Apply Recommender deployment
-        run: |
-          cd deploy
-          kubectl --kubeconfig=kubeconfig.yaml apply -f recommender.yaml
-
-      - name: Rollout restart
-        run: |
-          cd deploy
-          kubectl --kubeconfig=kubeconfig.yaml rollout restart deployment recommender -n media
+  deploy:
+    name: Deploy (internal)
+    runs-on: ubuntu-amd64
+    needs: build
+    steps:
+      - uses: https://git.ivanch.me/ivanch/pipeline-actions/deploy-restart@main
+        with:
+          kube_config: ${{ secrets.KUBE_CONFIG }}
+          deployment_name: recommender
+          namespace: media

.gitignore

@@ -25,3 +25,10 @@ documents/
 
 # OS
 Thumbs.db
+
+# Deploy
+deploy/terraform/.terraform
+deploy/terraform/*.tfstate
+deploy/terraform/*.tfstate.*
+deploy/terraform/*.tfplan
+deploy/terraform/.terraform.lock.hcl

deploy/recommender.yaml

@@ -1,83 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: recommender
-  namespace: media
-spec:
-  replicas: 1
-  selector:
-    matchLabels:
-      app: recommender
-  template:
-    metadata:
-      labels:
-        app: recommender
-    spec:
-      containers:
-        - name: recommender
-          image: git.ivanch.me/ivanch/recommender:latest
-          imagePullPolicy: Always
-          ports:
-            - containerPort: 80
-          env:
-            - name: OPENAI_API_KEY
-              valueFrom:
-                secretKeyRef:
-                  name: recommender-secrets
-                  key: OPENAI_API_KEY
-            - name: DATABASE_URL
-              valueFrom:
-                secretKeyRef:
-                  name: recommender-secrets
-                  key: DATABASE_URL
-            - name: BEARER_TOKEN
-              valueFrom:
-                secretKeyRef:
-                  name: recommender-secrets
-                  key: BEARER_TOKEN
-            - name: PROVIDER_URL
-              value: "https://openrouter.ai/api/v1"
-            - name: MODEL_NAME
-              value: "openai/gpt-5.4"
-            - name: AI_PROVIDER
-              value: "GENERIC"
-          resources:
-            requests:
-              memory: "256Mi"
-              cpu: "500m"
-            limits:
-              memory: "512Mi"
-              cpu: "1"
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: recommender
-  namespace: media
-spec:
-  selector:
-    app: recommender
-  ports:
-    - port: 80
-      targetPort: 80
----
-apiVersion: networking.k8s.io/v1
-kind: Ingress
-metadata:
-  name: recommender
-  namespace: media
-  labels:
-    app.kubernetes.io/name: recommender
-spec:
-  ingressClassName: nginx
-  rules:
-    - host: "recommender.haven"
-      http:
-        paths:
-          - path: "/"
-            pathType: Prefix
-            backend:
-              service:
-                name: recommender
-                port:
-                  number: 80

packages/backend/.env

@@ -4,13 +4,7 @@
 
 DATABASE_URL=postgres://user:password@localhost:5432/recommender
 
-# AI provider selection: OPENAI (default) or GENERIC
-AI_PROVIDER=OPENAI
-
-# OpenAI provider settings (used when AI_PROVIDER=OPENAI)
 OPENAI_API_KEY=your-openai-api-key-here
 
-# Generic provider settings (used when AI_PROVIDER=GENERIC)
+# provider settings
 PROVIDER_URL=https://your-provider.example.com/v1
-BEARER_TOKEN=your-bearer-token
-MODEL_NAME=your-model-name

packages/backend/src/agent.ts

@@ -2,26 +2,17 @@ import OpenAI from 'openai';
 import * as dotenv from 'dotenv';
 dotenv.config({ path: ['.env.local', '.env'] });
 
-const AI_PROVIDER = process.env.AI_PROVIDER ?? 'OPENAI';
-const isGeneric = AI_PROVIDER === 'GENERIC';
-
-export const openai = isGeneric
-  ? new OpenAI({
+export const openai = new OpenAI({
   apiKey: process.env.BEARER_TOKEN,
   baseURL: process.env.PROVIDER_URL,
   timeout: 600000, // 10 minutes
   maxRetries: 3,
-  })
-  : new OpenAI({
-    apiKey: process.env.OPENAI_API_KEY,
-    timeout: 600000, // 10 minutes
-    maxRetries: 3,
 });
 
-export const defaultModel = isGeneric ? (process.env.MODEL_NAME ?? 'default') : 'gpt-5.4';
-export const miniModel = isGeneric ? (process.env.MODEL_NAME ?? 'default') : 'gpt-5.4-mini';
-export const serviceOptions = isGeneric ? {} : { service_tier: 'flex' as const };
-export const supportsWebSearch = !isGeneric;
+export const defaultModel = process.env.MODEL_NAME ?? 'gpt-5.4';
+export const miniModel = process.env.MODEL_NAME ?? 'gpt-5.4-mini';
+export const serviceOptions = { service_tier: 'flex' as const };
+export const supportsWebSearch = true;
 
 function isJsonParseError(err: unknown): boolean {
   if (err instanceof SyntaxError) return true;