mirror of
https://github.com/ruvnet/RuVector.git
synced 2026-05-23 04:27:11 +00:00
930fca916f
SSE Proxy Decoupling (ADR-130): - Fix ruvbrain-sse proxy: proper MCP handshake, session creation, drain polling - Fix internal queue endpoints: session_create keeps receiver, drain returns buffered messages - Add response_queues to AppState for SSE proxy communication - Skip sparsifier for >5M edge graphs (was crashing on 16M edges) - Add SSE_DISABLED/MAX_SSE env vars for configurable connection limits - Route SSE to dedicated mcp.pi.ruv.io subdomain (Cloudflare CNAME) - Serve SSE at root / path on proxy (no /sse needed) - Update all references from pi.ruv.io/sse to mcp.pi.ruv.io - Fix Dockerfile consciousness crate build (feature/version mismatches) Claude Code CLI Source Research (ADR-133): - 19 research documents analyzing Claude Code internals (3000+ lines) - Decompiler script + RVF corpus builder for all major versions - Binary RVF containers for v0.2, v1.0, v2.0, v2.1 (300-2068 vectors each) - Call graphs, class hierarchies, state machines from minified source Integration Strategy (ADR-134): - 6-tier integration plan: WASM MCP, agents, hooks, cache, SDK, plugin - Integration guide with architecture diagrams and performance targets Co-Authored-By: claude-flow <ruv@ruv.net>
61 lines
1.8 KiB
YAML
61 lines
1.8 KiB
YAML
apiVersion: serving.knative.dev/v1
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kind: Service
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metadata:
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name: dragnes
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labels:
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app: dragnes
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component: dermatology-intelligence
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annotations:
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run.googleapis.com/launch-stage: GA
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run.googleapis.com/ingress: all
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spec:
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template:
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metadata:
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annotations:
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autoscaling.knative.dev/minScale: "1"
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autoscaling.knative.dev/maxScale: "10"
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run.googleapis.com/cpu-throttling: "false"
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run.googleapis.com/startup-cpu-boost: "true"
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spec:
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containerConcurrency: 80
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timeoutSeconds: 300
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serviceAccountName: dragnes-sa@ruv-dev.iam.gserviceaccount.com
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containers:
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- image: gcr.io/ruv-dev/dragnes:latest
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ports:
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- containerPort: 3000
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resources:
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limits:
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cpu: "2"
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memory: 2Gi
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env:
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- name: NODE_ENV
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value: production
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- name: OPENAI_BASE_URL
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value: https://openrouter.ai/api/v1
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- name: OPENAI_API_KEY
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valueFrom:
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secretKeyRef:
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name: OPENROUTER_API_KEY
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key: latest
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- name: MCP_SERVERS
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value: '[{"name":"pi-brain","url":"https://mcp.pi.ruv.io"}]'
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- name: DRAGNES_ENABLED
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value: "true"
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- name: DRAGNES_BRAIN_URL
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value: https://pi.ruv.io
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- name: DRAGNES_MODEL_VERSION
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value: 0.1.0
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startupProbe:
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httpGet:
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path: /api/health
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port: 3000
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initialDelaySeconds: 5
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periodSeconds: 5
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failureThreshold: 10
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livenessProbe:
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httpGet:
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path: /api/health
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port: 3000
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periodSeconds: 30
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failureThreshold: 3
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