init

vw-agentic-rag/deploy/dev/config.yaml

@@ -0,0 +1,42 @@
+app:
+  name: agentic-rag
+  max_tool_rounds: 3
+  memory_ttl_days: 7
+  port: 8000
+  host: 0.0.0.0
+  cors_origins:
+  - '*'
+
+provider: openai
+azure:
+  api_key: h7ARU7tP7cblbpIQFpFXnhxVdFwH9rLXP654UfSJd8xKCJzeg4VOJQQJ99AKACi0881XJ3w3AAABACOGTlOf
+  api_version: 2024-08-01-preview
+  base_url: https://aoai-lab-jpe-fl.openai.azure.com
+  deployment: gpt-4o
+openai:
+  api_key: gpustack_0e3d5b35adaf239b_99adacd6f540c7d81006365c8030b16c
+  base_url: http://sales2c-ai.chinanorth3.cloudapp.chinacloudapi.cn/v1-openai
+  model: deepseek-chat
+
+postgresql:
+  database: agent_memory
+  host: pg-aiflow-lab.postgres.database.azure.com
+  password: P@ssw0rd
+  port: 5432
+  ttl_days: 7
+  username: dev
+  
+logging:
+  format: json
+  level: INFO
+
+retrieval:
+  api_key: k1-YdKAldbSzCYjA5FpbAAzSeB6AVRN
+  endpoint: http://aidemo.japaneast.cloudapp.azure.com/agentic-retrieval
+search:
+  chunk_index: index-catonline-chunk-v2-prd
+  standard_regulation_index: index-catonline-standard-regulation-v2-prd
+
+citation:
+  base_url: https://catonline.prod.cat.vgcserv.com.cn/#/common/detail
+

vw-agentic-rag/deploy/dev/deploy.sh

@@ -0,0 +1,31 @@
+
+# login AKS
+az cloud set --name AzureCloud   # Switch CLI to Azure cloud
+# az login                              # Log in to Azure China account (browser or device code flow)
+az account set -s 079d8bd8-b4cc-4892-9307-aa6dedf890e9 #! set subs
+az aks get-credentials -g rg-aiflow-lab -n aks-aiflow-lab --overwrite-existing --file ~/.kube/config
+####
+kubectl config use-context aks-aiflow-lab
+kubectl config current-context
+
+docker build . -t agentic-rag:1.0.16
+docker tag agentic-rag:1.0.16 acraiflowlab.azurecr.io/agentic-rag:1.0.16
+docker push acraiflowlab.azurecr.io/agentic-rag:1.0.16
+
+# kubectl create namespace knowledge-agent
+
+kubectl delete configmap agentic-rag-config -n knowledge-agent
+kubectl create configmap agentic-rag-config -n knowledge-agent --from-file=config.yaml
+
+kubectl delete deployment agentic-rag -n knowledge-agent
+# kubectl delete ingress agentic-retrieval-ingress -n knowledge-agent  # 注释掉，不要删除生产 Ingress
+kubectl apply -f deploy/dev/k8s-manifest.yml -n knowledge-agent
+
+# restart deployment
+kubectl rollout restart deployment agentic-rag -n knowledge-agent
+
+kubectl rollout status deployment/agentic-rag -n knowledge-agent
+kubectl get deployment agentic-rag -o wide -n knowledge-agent
+kubectl get pods -l app=agentic-rag -o wide -n knowledge-agent
+# kubectl logs -f agentic-rag  -n knowledge-agent
+

vw-agentic-rag/deploy/dev/k8s-manifest.yml

@@ -0,0 +1,74 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: agentic-rag
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: agentic-rag
+  template:
+    metadata:
+      labels:
+        app: agentic-rag
+    spec:
+      containers:
+        - name: agentic-rag
+          image: acraiflowlab.azurecr.io/agentic-rag:1.0.6
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8000
+            - containerPort: 3000
+          env: 
+            - name: NEXT_PUBLIC_API_URL
+              value: "http://localhost:8000/api"
+            - name: LANGGRAPH_API_URL
+              value: "http://localhost:8000"
+            - name: NEXT_PUBLIC_API_URL_PREFIX
+              value: "/agentic-rag"
+          volumeMounts:
+            - name: config-volume
+              mountPath: /app/config.yaml
+              subPath: config.yaml
+      volumes:
+        - name: config-volume
+          configMap:
+            name: agentic-rag-config
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: agentic-rag-service
+  namespace: knowledge-agent
+spec:
+  selector:
+    app: agentic-rag
+  ports:
+  - name: api-8000
+    port: 8000
+    targetPort: 8000
+  - name: api-3000
+    port: 3000
+    targetPort: 3000
+  type: ClusterIP
+
+---
+apiVersion: networking.k8s.io/v1
+kind: Ingress
+metadata:
+  name: agentic-rag-ingress
+  annotations:
+    kubernetes.io/ingress.class: "nginx"
+spec:
+  ingressClassName: nginx
+  rules:
+    - host: aidemo.japaneast.cloudapp.azure.com
+      http:
+        paths:
+          - path: /agentic-rag
+            pathType: Prefix
+            backend:
+              service:
+                name: agentic-rag-service
+                port:
+                  number: 3000

vw-agentic-rag/deploy/prd/config.yaml

@@ -0,0 +1,48 @@
+app:
+  name: agentic-rag
+  max_tool_rounds: 4
+  max_tool_rounds_user_manual: 2
+  memory_ttl_days: 7
+  port: 8000
+  host: 0.0.0.0
+  cors_origins:
+  - '*'
+
+provider: openai
+openai:
+  api_key: gpustack_0e3d5b35adaf239b_99adacd6f540c7d81006365c8030b16c
+  base_url: http://sales2c-ai.chinanorth3.cloudapp.chinacloudapi.cn/v1-openai
+  model: deepseek-chat
+
+
+postgresql:
+  database: agent_memory
+  host: pg-sales2c-ai-prd.postgres.database.chinacloudapi.cn
+  password: vwb54pSQDp8vYkusKms
+  port: 5432
+  ttl_days: 7
+  username: pgadmin
+
+logging:
+  format: json
+  level: INFO
+
+retrieval:
+  endpoint: "https://search-sales2c-ai-prd.search.azure.cn"
+  api_key: "ev6B0OtF66WkDmQKJBa4n1Haa8e8p8N3zdaEBnbWtoAzSeAMWSid"
+  api_version: "2024-11-01-preview"
+  semantic_configuration: "default"
+  embedding:
+    base_url: "http://sales2c-ai.chinanorth3.cloudapp.chinacloudapi.cn/v1-openai"
+    api_key: "gpustack_0e3d5b35adaf239b_99adacd6f540c7d81006365c8030b16c"
+    model: "qwen3-embedding-8b"
+    dimension: 4096
+    api_version: null
+  index:
+    standard_regulation_index: index-catonline-standard-regulation-v2-prd
+    chunk_index: index-catonline-chunk-v2-prd
+    chunk_user_manual_index: index-cat-usermanual-chunk-prd
+
+citation:
+  base_url: https://catonline.prod.cat.vgcserv.com.cn/#/common/detail
+

vw-agentic-rag/deploy/prd/deploy.sh

@@ -0,0 +1,33 @@
+
+# login AKS
+az cloud set --name AzureCloud   # Switch CLI to Azure cloud
+# az login                              # Log in to Azure China account (browser or device code flow)
+az account set -s 079d8bd8-b4cc-4892-9307-aa6dedf890e9 #! set subs
+az aks get-credentials -g rg-aiflow-lab -n aks-aiflow-lab --overwrite-existing --file ~/.kube/config
+####
+kubectl config use-context aks-aiflow-lab
+kubectl config current-context
+
+docker build . -t agentic-rag:1.0.16
+docker tag agentic-rag:1.0.16 acrsales2caiprd.azurecr.cn/agentic-rag:1.0.16
+docker push acrsales2caiprd.azurecr.cn/agentic-rag:1.0.16
+
+# kubectl create namespace knowledge-agent
+
+kubectl delete configmap agentic-rag-config -n knowledge-agent
+kubectl create configmap agentic-rag-config -n knowledge-agent --from-file=./deploy/prd/config.yaml --from-file=llm_prompt.yaml
+
+kubectl delete deployment agentic-rag -n knowledge-agent
+# kubectl delete ingress agentic-rag-ingress -n knowledge-agent  # 注释掉，不要删除生产 Ingress
+kubectl apply -f deploy/prd/k8s-manifest.yml -n knowledge-agent
+
+# restart deployment
+kubectl rollout restart deployment agentic-rag -n knowledge-agent
+
+kubectl rollout status deployment/agentic-rag -n knowledge-agent
+kubectl get deployment agentic-rag -o wide -n knowledge-agent
+kubectl get pods -l app=agentic-rag -o wide -n knowledge-agent
+
+# Monitor logs
+kubectl logs -f deployment/agentic-rag  -n knowledge-agent
+

vw-agentic-rag/deploy/prd/k8s-manifest.yml

@@ -0,0 +1,77 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: agentic-rag
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: agentic-rag
+  template:
+    metadata:
+      labels:
+        app: agentic-rag
+    spec:
+      containers:
+        - name: agentic-rag
+          image: acrsales2caiprd.azurecr.cn/agentic-rag:1.0.16
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8000
+            - containerPort: 3000
+          env: 
+            - name: NEXT_PUBLIC_API_URL
+              value: "http://localhost:8000/api"
+            - name: LANGGRAPH_API_URL
+              value: "http://localhost:8000"
+            - name: NEXT_PUBLIC_API_URL_PREFIX
+              value: "/agentic-rag"
+          volumeMounts:
+            - name: config-volume
+              mountPath: /app/config.yaml
+              subPath: config.yaml
+            - name: config-volume
+              mountPath: /app/llm_prompt.yaml
+              subPath: llm_prompt.yaml
+      volumes:
+        - name: config-volume
+          configMap:
+            name: agentic-rag-config
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: agentic-rag-service
+  namespace: knowledge-agent
+spec:
+  selector:
+    app: agentic-rag
+  ports:
+  - name: api-8000
+    port: 8000
+    targetPort: 8000
+  - name: api-3000
+    port: 3000
+    targetPort: 3000
+  type: ClusterIP
+
+---
+apiVersion: networking.k8s.io/v1
+kind: Ingress
+metadata:
+  name: agentic-rag-ingress
+  annotations:
+    kubernetes.io/ingress.class: "nginx"
+spec:
+  ingressClassName: nginx
+  rules:
+    - host: ai.cdp.vgcserv.com.cn
+      http:
+        paths:
+          - path: /agentic-rag
+            pathType: Prefix
+            backend:
+              service:
+                name: agentic-rag-service
+                port:
+                  number: 3000