5f447dfd53
Architecture: - director_v2: always-on brain, produces DirectorPlan with tool_sequence - thinker_v2: pure executor, runs tools from DirectorPlan - interpreter_v1: factual result summarizer, no hallucination - v2_director_drives graph: Input -> Director -> Thinker -> Output Infrastructure: - Split into 3 pods: cog-frontend (nginx), cog-runtime (FastAPI), cog-mcp (SSE proxy) - MCP survives runtime restarts (separate pod, proxies via HTTP) - Async send pipeline: /api/send/check -> /api/send -> /api/result with progress - Zero-downtime rolling updates (maxUnavailable: 0) - Dynamic graph visualization (fetched from API, not hardcoded) Tests: 22 new mocked unit tests (director_v2: 7, thinker_v2: 8, interpreter_v1: 7) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
58 lines
1.1 KiB
YAML
58 lines
1.1 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: cog-frontend
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namespace: default
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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: cog-frontend
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 1
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maxUnavailable: 0
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template:
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metadata:
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labels:
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app: cog-frontend
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spec:
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containers:
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- name: nginx
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image: docker.io/library/cog-frontend:latest
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imagePullPolicy: Never
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ports:
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- containerPort: 80
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readinessProbe:
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httpGet:
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path: /health
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port: 80
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initialDelaySeconds: 2
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periodSeconds: 5
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livenessProbe:
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httpGet:
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path: /health
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port: 80
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initialDelaySeconds: 5
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periodSeconds: 15
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resources:
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requests:
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cpu: 10m
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memory: 16Mi
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limits:
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cpu: 100m
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memory: 32Mi
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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: cog-frontend
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namespace: default
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spec:
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selector:
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app: cog-frontend
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ports:
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- port: 80
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targetPort: 80
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