fix(fc-ttsreader): lower web cpu request

JSON-provisioned dashboard for FlowerCore.RemoteDesktop session metrics,
matches the Apr 23 staging done in the codex/ttsreader-release-b6ca2d5
worktree. Drop into apps/monitoring so ArgoCD-managed Grafana provisioning
picks it up alongside the other FC service dashboards.

apps/agent-zero/agent-zero.yaml

@@ -127,6 +127,18 @@ metadata:
 spec:
   itemPath: "vaults/IAmWorkin/items/Print.Web API Keys"
 
+---
+# Knowledge MCP bearer token for the direct Agent Zero -> Knowledge.Web path.
+# The 1Password item currently stores the raw token in its concealed PASSWORD
+# field, which the operator syncs to Secret key `password`.
+apiVersion: onepassword.com/v1
+kind: OnePasswordItem
+metadata:
+  name: knowledge-mcp-tokens
+  namespace: agent-zero
+spec:
+  itemPath: "vaults/IAmWorkin/items/FlowerCore Knowledge MCP Tokens"
+
 ---
 apiVersion: apps/v1
 kind: Deployment
@@ -242,13 +254,30 @@ spec:
               sed -i 's/^              //' /a0/usr/plugins/_model_config/config.json
               # Phase 0 Chat MCP pilot: Agent Zero does not interpolate env vars
               # inside A0_SET_mcp_servers JSON, so build the final JSON here from
-              # the secret-backed CHAT_MCP_API_KEY env var before initialize.sh.
+              # the secret-backed env vars before initialize.sh. Keep the local
-              # Use the in-cluster Chat service URL rather than the public
+              # corpus_search.py tool mounted either way so outage fallback
-              # Traefik hostname so the pod stays off the private VIP lane that
+              # remains available even when fc_knowledge is not advertised.
-              # the default egress rule blocks.
+              export KNOWLEDGE_MCP_ENABLED=false
-              if [ -n "${CHAT_MCP_API_KEY:-}" ]; then
+              if [ -n "${KNOWLEDGE_MCP_BEARER_TOKEN:-}" ]; then
-                export A0_SET_mcp_servers="{\"mcpServers\":{\"fc-chat\":{\"type\":\"streamable-http\",\"url\":\"http://chat-web.fc-chat.svc/mcp\",\"headers\":{\"X-Api-Key\":\"${CHAT_MCP_API_KEY}\"}}}}"
+                if curl -sf --connect-timeout 3 "${KNOWLEDGE_MCP_HEALTH_URL}" > /dev/null && \
+                   curl -sf --connect-timeout 5 \
+                     -H "Authorization: Bearer ${KNOWLEDGE_MCP_BEARER_TOKEN}" \
+                     -H "Accept: application/json, text/event-stream" \
+                     -H "Content-Type: application/json" \
+                     -d '{"jsonrpc":"2.0","id":"fc-knowledge-bootstrap","method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"agent-zero-bootstrap","version":"1.0"}}}' \
+                     "${KNOWLEDGE_MCP_URL}" > /dev/null; then
+                  export KNOWLEDGE_MCP_ENABLED=true
+                  echo "fc_knowledge enabled from ${KNOWLEDGE_MCP_URL}."
+                else
+                  echo "fc_knowledge unavailable or unauthorized; keeping local corpus_search.py as the fallback path."
+                fi
+              else
+                echo "fc_knowledge token missing; keeping local corpus_search.py as the fallback path."
               fi
+
+              export A0_SET_mcp_servers="$(
+                python3 -c 'import json, os; servers = {}; chat_key = os.getenv("CHAT_MCP_API_KEY"); knowledge_enabled = os.getenv("KNOWLEDGE_MCP_ENABLED", "false").lower() == "true"; token = os.getenv("KNOWLEDGE_MCP_BEARER_TOKEN", "") if knowledge_enabled else ""; chat_key and servers.setdefault("fc_chat", {"type": "streamable-http", "url": "http://chat-web.fc-chat.svc/mcp", "headers": {"X-Api-Key": chat_key}}); token and servers.setdefault("fc_knowledge", {"type": "streamable-http", "url": os.getenv("KNOWLEDGE_MCP_URL", "http://knowledge-web.knowledge.svc/mcp"), "headers": {"Authorization": f"Bearer {token}"}}); print(json.dumps({"mcpServers": servers}, separators=(",", ":")))'
+              )"
               # Run the original entrypoint
               exec /exe/initialize.sh $BRANCH
           ports:
@@ -351,6 +380,19 @@ spec:
                   name: chat-mcp-api-key
                   key: api-key
                   optional: true
+            # FlowerCore.Knowledge MCP Phase 1 — direct Agent Zero client path.
+            # Probe /healthz first, then try an authenticated initialize call.
+            # If either fails, Agent Zero boots without fc_knowledge and keeps
+            # the local corpus_search.py tool as the outage-safe path.
+            - name: KNOWLEDGE_MCP_URL
+              value: "http://knowledge-web.knowledge.svc/mcp"
+            - name: KNOWLEDGE_MCP_HEALTH_URL
+              value: "http://knowledge-web.knowledge.svc/healthz"
+            - name: KNOWLEDGE_MCP_BEARER_TOKEN
+              valueFrom:
+                secretKeyRef:
+                  name: knowledge-mcp-tokens
+                  key: password
             # Print.Web — Thermal printer service on edge2.
             # PRINT_WEB_URL: internal HTTP (bypasses Traefik TLS — print_web.py
             # runs in-cluster and can reach edge2 directly on the PROD VLAN).
@@ -575,6 +617,17 @@ spec:
           protocol: TCP
         - port: 8080
           protocol: TCP
+    # FlowerCore.Knowledge MCP (Phase 1) — in-cluster direct route with
+    # anonymous /healthz probe plus authenticated /mcp initialize/tool calls.
+    - to:
+        - namespaceSelector:
+            matchLabels:
+              kubernetes.io/metadata.name: knowledge
+      ports:
+        - port: 80
+          protocol: TCP
+        - port: 8080
+          protocol: TCP
     # Intranet search API — use in-cluster svc so traffic stays inside
     # the cluster and is not blocked by the private-range egress denylist.
     - to:

apps/fc-llm-bridge/fc-llm-bridge.yaml

@@ -97,7 +97,7 @@ spec:
           #   dotnet.exe publish -c Release -o deploy/app \
           #     src/FlowerCore.LlmBridge.Web/FlowerCore.LlmBridge.Web.csproj
           #   podman build -t localhost/fc-llm-bridge:v<tag> -f deploy/Dockerfile.deploy deploy
-          image: localhost/fc-llm-bridge:v202604292028
+          image: localhost/fc-llm-bridge:v202604300022
           imagePullPolicy: Never
           ports:
             - containerPort: 8080

apps/fc-ttsreader/fc-ttsreader.yaml

@@ -519,7 +519,7 @@ spec:
         fsGroupChangePolicy: OnRootMismatch
       containers:
         - name: web
-          image: localhost/fc-ttsreader-web:v202604291817
+          image: localhost/fc-ttsreader-web:v202604301236-b6ca2d5
           imagePullPolicy: Never
           ports:
             - containerPort: 5217
@@ -537,6 +537,8 @@ spec:
               value: "/usr/bin/ffmpeg"
             - name: TtsReader__Bible__CorpusRoot
               value: "/data/corpus-cache/world-english-bible/eng/usx"
+            - name: TtsReader__ChapterContext__DatabasePath
+              value: "/data/chapter-context.db"
             - name: TtsReader__Jobs__Root
               value: "/data/jobs"
             - name: TtsReader__Piper__Host
@@ -609,7 +611,10 @@ spec:
                   optional: true
           resources:
             requests:
-              cpu: 100m
+              # The cluster is currently saturated on requested CPU by
+              # remotedesktop workloads even when real usage is low.
+              # Keep the web frontend schedulable under that pressure.
+              cpu: 10m
               memory: 256Mi
             limits:
               cpu: 500m

apps/knowledge/README.md

@@ -5,7 +5,9 @@ Phase 2.4 closed. Pod running, certificate issued (step-ca-acme), PVC
 bound (Longhorn 20Gi RWO), ArgoCD `infra-knowledge` synced. `/healthz`
 returns 200, `/api/v1/editions` returns `[]` (initial-deploy state — no
 *.db files in the PVC yet; Phase 2.5+ admin UI handles bulk
-population).
+population). Phase 1 of the Agent Zero MCP rollout keeps `/healthz`
+anonymous and gates `/mcp` behind `Authorization: Bearer <token>` built
+from the 1Password item `FlowerCore Knowledge MCP Tokens`.
 
 - Plan: [`../../../FlowerCore.Notes/docs/ai-agents/flowercore-knowledge-service-plan.md`](../../../FlowerCore.Notes/docs/ai-agents/flowercore-knowledge-service-plan.md)
 - Sprint: [`../../../FlowerCore.Notes/docs/ai-station/sprint-e-xxl-plan.md`](../../../FlowerCore.Notes/docs/ai-station/sprint-e-xxl-plan.md) (Track B)
@@ -19,6 +21,12 @@ search to the rest of the FC ecosystem (Agent Zero, Chat.Web persona
 memory, AiStation embeddings explorer, TtsReader chapter context, BMO
 bot, Pi nodes via `fc-index sync`).
 
+Phase 1 MCP routing is explicit:
+
+- in-cluster Agent Zero → `http://knowledge-web.knowledge.svc/mcp`
+- workstation Agent Zero → `https://knowledge.iamworkin.lan/mcp`
+- probe URL for both lanes → `/healthz`
+
 ## Deployment order (do NOT skip / reorder)
 
 ### 1. FlowerCore.DNS public A record — knowledge.iamworkin.lan -> 10.0.56.200

apps/knowledge/knowledge.yaml

@@ -40,16 +40,16 @@ metadata:
   labels:
     app.kubernetes.io/part-of: bluejay-infra
 ---
-# MCP API key — synced from 1Password so /mcp stays gated without baking
+# MCP bearer token for the read-only Agent Zero Phase 1 lane. The 1Password
-# secrets into Git. The PASSWORD category maps the concealed field to Secret
+# item currently stores the raw token in its concealed PASSWORD field, which
-# key `password`, which the Deployment reads into FlowerCore:Mcp:ApiKey:Key.
+# the operator syncs into the namespaced Secret key `password`.
 apiVersion: onepassword.com/v1
 kind: OnePasswordItem
 metadata:
-  name: knowledge-mcp-api-key
+  name: knowledge-mcp-tokens
   namespace: knowledge
 spec:
-  itemPath: "vaults/IAmWorkin/items/KnowledgeApiKey"
+  itemPath: "vaults/IAmWorkin/items/FlowerCore Knowledge MCP Tokens"
 ---
 apiVersion: v1
 kind: PersistentVolumeClaim
@@ -102,8 +102,17 @@ spec:
         - name: web
           # Placeholder tag — bump to the image you built + imported to ALL
           # RKE2 nodes via scripts/deploy-knowledge.sh before applying.
-          image: localhost/fc-knowledge-web:v202604272200
+          image: localhost/fc-knowledge-web:v20260429232635
           imagePullPolicy: Never
+          command:
+            - /bin/sh
+            - -c
+          args:
+            - |
+              if [ -n "${KNOWLEDGE_MCP_BEARER_TOKEN:-}" ]; then
+                export FlowerCore__Mcp__ApiKey__Key="Bearer ${KNOWLEDGE_MCP_BEARER_TOKEN}"
+              fi
+              exec dotnet FlowerCore.Knowledge.Web.dll
           ports:
             - containerPort: 8080
               name: http
@@ -115,7 +124,7 @@ spec:
             - name: DOTNET_SYSTEM_GLOBALIZATION_INVARIANT
               value: "false"
             # Vector-store directory + embedding model + edition profile dir.
-            # Profile JSON is baked into the image at /app/editions via the
+            # Profile JSON is baked into the image at /home/app/editions via the
             # csproj Content-link from FlowerCore.Common/editions/.
             - name: Knowledge__VectorStoresDirectory
               value: "/data/vector-stores"
@@ -126,7 +135,7 @@ spec:
             - name: Knowledge__MaxLimit
               value: "50"
             - name: FlowerCore__Editions__ProfileDirectory
-              value: "/app/editions"
+              value: "/home/app/editions"
             # Embed via edge1 Pi 5 + AI HAT+ (10.0.57.17:11434). Cluster
             # services do not depend on BLUEJAY-WS (private dev hardware) per
             # bluejay-infra@0f9d56e. Query-time embedding is fast enough on
@@ -138,7 +147,14 @@ spec:
             - name: FlowerCore__Mcp__ApiKey__Key
               valueFrom:
                 secretKeyRef:
-                  name: knowledge-mcp-api-key
+                  name: knowledge-mcp-tokens
+                  key: password
+            - name: FlowerCore__Mcp__ApiKey__HeaderName
+              value: "Authorization"
+            - name: KNOWLEDGE_MCP_BEARER_TOKEN
+              valueFrom:
+                secretKeyRef:
+                  name: knowledge-mcp-tokens
                   key: password
           resources:
             requests:
@@ -185,7 +201,7 @@ spec:
             - name: tmp
               mountPath: /tmp
             - name: logs
-              mountPath: /app/logs
+              mountPath: /home/app/logs
       volumes:
         - name: vector-store
           persistentVolumeClaim:

apps/monitoring/flowercore-remotedesktop-grafana-dashboard.json

@@ -0,0 +1,226 @@
+{
+  "annotations": {
+    "list": []
+  },
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 0,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": "${DS_PROMETHEUS}"
+      },
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "palette-classic"
+          },
+          "unit": "short"
+        },
+        "overrides": []
+      },
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 0
+      },
+      "id": 1,
+      "options": {
+        "legend": {
+          "displayMode": "table",
+          "placement": "bottom"
+        },
+        "tooltip": {
+          "mode": "single"
+        }
+      },
+      "targets": [
+        {
+          "editorMode": "code",
+          "expr": "sum by (event) (increase(fc_desktop_session_events_total[$__rate_interval]))",
+          "legendFormat": "{{event}}",
+          "range": true,
+          "refId": "A"
+        }
+      ],
+      "title": "RemoteDesktop Session Events",
+      "type": "timeseries"
+    },
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": "${DS_PROMETHEUS}"
+      },
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "palette-classic"
+          },
+          "unit": "short"
+        },
+        "overrides": []
+      },
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 0
+      },
+      "id": 2,
+      "options": {
+        "orientation": "auto",
+        "reduceOptions": {
+          "calcs": [
+            "lastNotNull"
+          ],
+          "fields": "",
+          "values": false
+        },
+        "showUnfilled": true
+      },
+      "targets": [
+        {
+          "editorMode": "code",
+          "expr": "sum by (template, event) (increase(fc_desktop_session_events_total[24h]))",
+          "legendFormat": "{{template}} {{event}}",
+          "range": true,
+          "refId": "A"
+        }
+      ],
+      "title": "24h Session Events By Template",
+      "type": "bargauge"
+    },
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": "${DS_PROMETHEUS}"
+      },
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "palette-classic"
+          },
+          "unit": "short"
+        },
+        "overrides": []
+      },
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 0,
+        "y": 8
+      },
+      "id": 3,
+      "options": {
+        "legend": {
+          "displayMode": "table",
+          "placement": "bottom"
+        },
+        "tooltip": {
+          "mode": "single"
+        }
+      },
+      "targets": [
+        {
+          "editorMode": "code",
+          "expr": "fc_desktop_pool_ready",
+          "legendFormat": "{{template}} ready",
+          "range": true,
+          "refId": "A"
+        },
+        {
+          "editorMode": "code",
+          "expr": "fc_desktop_pool_desired",
+          "legendFormat": "{{template}} desired",
+          "range": true,
+          "refId": "B"
+        }
+      ],
+      "title": "Warm Pool Ready vs Desired",
+      "type": "timeseries"
+    },
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": "${DS_PROMETHEUS}"
+      },
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "palette-classic"
+          },
+          "mappings": [],
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "orange",
+                "value": 1
+              }
+            ]
+          },
+          "unit": "short"
+        },
+        "overrides": []
+      },
+      "gridPos": {
+        "h": 8,
+        "w": 12,
+        "x": 12,
+        "y": 8
+      },
+      "id": 4,
+      "options": {
+        "colorMode": "value",
+        "graphMode": "none",
+        "justifyMode": "auto",
+        "orientation": "auto",
+        "reduceOptions": {
+          "calcs": [
+            "lastNotNull"
+          ],
+          "fields": "",
+          "values": false
+        },
+        "textMode": "auto"
+      },
+      "targets": [
+        {
+          "editorMode": "code",
+          "expr": "sum(increase(fc_desktop_session_events_total{event=\"connect\",browser_datasource=\"json\"}[24h])) - sum(increase(fc_desktop_session_events_total{event=\"disconnect\"}[24h]))",
+          "range": true,
+          "refId": "A"
+        }
+      ],
+      "title": "24h Connect Minus Disconnect",
+      "type": "stat"
+    }
+  ],
+  "refresh": "30s",
+  "schemaVersion": 39,
+  "style": "dark",
+  "tags": [
+    "flowercore",
+    "remotedesktop",
+    "guacamole"
+  ],
+  "templating": {
+    "list": []
+  },
+  "time": {
+    "from": "now-24h",
+    "to": "now"
+  },
+  "timezone": "browser",
+  "title": "FlowerCore RemoteDesktop",
+  "uid": "flowercore-remotedesktop",
+  "version": 1
+}