forked from xiaohei/taiji-AI-PAD
79 lines
2.4 KiB
YAML
79 lines
2.4 KiB
YAML
# Ingress 配置 - MCP Server
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# 支持 Azure Application Gateway Ingress Controller 或 NGINX Ingress Controller
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apiVersion: networking.k8s.io/v1
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kind: Ingress
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metadata:
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name: mcp-server-ingress
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namespace: taiji-ai
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labels:
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app: mcp-server
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annotations:
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# 使用 NGINX Ingress Controller (如果使用 AGIC，请更换注解)
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kubernetes.io/ingress.class: nginx
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nginx.ingress.kubernetes.io/ssl-redirect: "true"
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nginx.ingress.kubernetes.io/proxy-body-size: "50m"
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nginx.ingress.kubernetes.io/proxy-connect-timeout: "60"
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nginx.ingress.kubernetes.io/proxy-read-timeout: "60"
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nginx.ingress.kubernetes.io/proxy-send-timeout: "60"
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# CORS 配置
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nginx.ingress.kubernetes.io/enable-cors: "true"
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nginx.ingress.kubernetes.io/cors-allow-origin: "*"
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nginx.ingress.kubernetes.io/cors-allow-methods: "GET, PUT, POST, DELETE, PATCH, OPTIONS"
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nginx.ingress.kubernetes.io/cors-allow-headers: "DNT,X-CustomHeader,Keep-Alive,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,Authorization"
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# Let's Encrypt 证书 (需要 cert-manager)
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# cert-manager.io/cluster-issuer: "letsencrypt-prod"
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spec:
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ingressClassName: nginx
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# TLS 配置 (如果有证书)
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# tls:
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# - hosts:
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# - api.taiji-ai.com
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# secretName: mcp-server-tls
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rules:
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- host: mcp.taiji-ai.com
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http:
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paths:
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# API 路由
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- path: /
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pathType: Prefix
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backend:
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service:
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name: mcp-server
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port:
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number: 8000
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---
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# Azure Application Gateway Ingress Controller 配置 (备选)
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# 如果使用 AGIC，请使用以下配置替换上面的 Ingress
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# apiVersion: networking.k8s.io/v1
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# kind: Ingress
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# metadata:
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# name: mcp-server-ingress-agic
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# namespace: taiji-ai
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# annotations:
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# kubernetes.io/ingress.class: azure/application-gateway
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# appgw.ingress.kubernetes.io/ssl-redirect: "true"
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# appgw.ingress.kubernetes.io/connection-draining: "true"
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# appgw.ingress.kubernetes.io/connection-draining-timeout: "30"
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# appgw.ingress.kubernetes.io/backend-protocol: "http"
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# spec:
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# tls:
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# - hosts:
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# - api.taiji-ai.com
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# secretName: mcp-server-tls
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# rules:
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# - host: api.taiji-ai.com
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# http:
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# paths:
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# - path: /
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# pathType: Prefix
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# backend:
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# service:
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# name: mcp-server
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# port:
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# number: 8000
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