fix(agent-zero): prefix bridge embedding alias for litellm

apps/agent-zero/agent-zero.yaml

@@ -92,14 +92,17 @@ subjects:
 # =============================================================================
 # Agent Zero — AI Agent Web UI (NUC Edition, Blue Jay Profile)
 # =============================================================================
-# Connects to a local nginx proxy that routes to edge1 Pi 5 + AI HAT+ Ollama only
+# Connects directly to fc-llm-bridge for chat + internal util/embed + browser.
-# Blue Jay profile with 21 tools, 3 prompts, 4 extensions
+# Agent Zero's internal util/embed slots stay on the bridge's OpenAI-compatible
+# /v1 surface, while browser + corpus-search use the Ollama-compatible /api/*
+# surface through OLLAMA_HOST.
+# Blue Jay profile with 21 tools, 3 prompts, 4 extensions.
 
 ---
-# FC LLM Bridge API key for Agent Zero (ADR-088 chat_model routing).
+# FC LLM Bridge API key for Agent Zero (ADR-088 chat/util/embed/browser routing).
 # Syncs from 1Password item "FC LLM Bridge API Keys" (field: agent-zero-k8s).
-# Consumed by the chat_model only; util / embedding / browser stay on local
+# Consumed by chat, internal util/embed, browser, and corpus-search requests
-# Ollama via the 127.0.0.1 sidecar proxy.
+# that traverse fc-llm-bridge.
 apiVersion: onepassword.com/v1
 kind: OnePasswordItem
 metadata:
@@ -135,7 +138,7 @@ metadata:
   annotations:
     agent-zero/deployment: "nuc"
     agent-zero/profile: "bluejay"
-    agent-zero/ollama: "edge1 Pi 5 + AI HAT+ only (10.0.57.17:11434) — workstation Ollama is private dev hardware, not a cluster dependency"
+    agent-zero/ollama: "fc-llm-bridge fronts edge1 Pi 5 + AI HAT+ Ollama for cluster browser/corpus-search traffic; internal chat/util/embed route through the bridge's authenticated OpenAI surface"
 spec:
   replicas: 1
   selector:
@@ -150,19 +153,18 @@ spec:
     spec:
       serviceAccountName: agent-zero
       initContainers:
-        # Wait for edge1 Ollama to be reachable before starting Agent Zero.
+        # Wait for fc-llm-bridge to be reachable before starting Agent Zero.
-        # (Workstation Ollama is intentionally NOT in the cluster path.)
+        - name: wait-for-llm-bridge
-        - name: wait-for-ollama
           image: busybox:1.37
           command: ["sh", "-c"]
           args:
             - |
-              echo "Waiting for edge1 Ollama (10.0.57.17:11434)..."
+              echo "Waiting for fc-llm-bridge..."
-              until wget -qO- --timeout=2 http://10.0.57.17:11434/api/tags >/dev/null 2>&1; do
+              until wget -qO- --timeout=2 http://fc-llm-bridge.fc-llm-bridge.svc:8080/healthz >/dev/null 2>&1; do
-                echo "edge1 Ollama not ready yet, retrying in 5s..."
+                echo "fc-llm-bridge not ready yet, retrying in 5s..."
                 sleep 5
               done
-              echo "edge1 Ollama is reachable."
+              echo "fc-llm-bridge is reachable."
         # Assemble the Blue Jay profile directory structure from ConfigMaps.
         # ConfigMaps can't create nested dirs, so we copy into the workspace PVC.
         - name: setup-bluejay
@@ -209,73 +211,6 @@ spec:
             - name: bluejay-theme
               mountPath: /tmp/bluejay-theme
       containers:
-        - name: ollama-proxy
-          image: nginx:1.27-alpine
-          command: ["/bin/sh", "-c"]
-          args:
-            - |
-              cat > /etc/nginx/nginx.conf <<'NGINX'
-              worker_processes  1;
-              events { worker_connections 1024; }
-              http {
-                upstream ollama_upstream {
-                  # edge1 Pi 5 + AI HAT+ is the SOLE upstream.
-                  # Workstation Ollama (BLUEJAY-WS) is private dev hardware and
-                  # MUST NOT be added back here without explicit operator decision —
-                  # adding it would expose the workstation to cluster traffic.
-                  server 10.0.57.17:11434 max_fails=2 fail_timeout=10s;
-                  keepalive 16;
-                }
-                server {
-                  listen 11434;
-                  # Local healthcheck — proves nginx itself is alive.
-                  # Must NOT depend on upstream so liveness doesn't restart
-                  # the container when edge1 is slow/offline.
-                  location = /healthz {
-                    access_log off;
-                    return 200 'ok\n';
-                    default_type text/plain;
-                  }
-                  location / {
-                    proxy_http_version 1.1;
-                    proxy_set_header Connection "";
-                    proxy_set_header Host $host;
-                    proxy_connect_timeout 5s;
-                    proxy_read_timeout 600s;
-                    proxy_send_timeout 600s;
-                    proxy_next_upstream error timeout invalid_header http_502 http_503 http_504;
-                    proxy_pass http://ollama_upstream;
-                  }
-                }
-              }
-              NGINX
-              exec nginx -g 'daemon off;'
-          ports:
-            - containerPort: 11434
-          # Readiness probe DOES check upstream so K8s only routes traffic
-          # when edge1 Ollama is reachable. timeoutSeconds=5 absorbs the Pi's
-          # slower TCP handshake under load (was timeoutSeconds=1 default →
-          # 172 historic restarts when the workstation primary path went down,
-          # before the cluster was repointed to edge1-only on 2026-04-27).
-          readinessProbe:
-            httpGet:
-              path: /api/tags
-              port: 11434
-            initialDelaySeconds: 5
-            periodSeconds: 15
-            timeoutSeconds: 5
-            failureThreshold: 3
-          # Liveness probe hits ONLY local healthz — restarts the container
-          # only when nginx itself is dead. Decoupling liveness from upstream
-          # eliminates restart-loops caused by transient upstream outages.
-          livenessProbe:
-            httpGet:
-              path: /healthz
-              port: 11434
-            initialDelaySeconds: 10
-            periodSeconds: 30
-            timeoutSeconds: 3
-            failureThreshold: 3
         - name: agent-zero
           image: agent0ai/agent-zero:latest
           command: ["/bin/bash", "-c"]
@@ -296,12 +231,12 @@ spec:
               # chat_model: FlowerCore LLM Bridge (ADR-088) — OpenAI-compat,
               # spend-tracked, tier-aliased (fc:balanced → Claude Sonnet).
               # api_key comes from A0_SET_chat_model_api_key env var (overrides
-              # config.json). util + embedding go to local 127.0.0.1 nginx
+              # config.json). Utility + embedding stay on the authenticated
-              # proxy which routes to edge1 Pi 5 + AI HAT+ ONLY (workstation
+              # OpenAI-compatible /v1 surface; browser and direct tool traffic
-              # is private dev hardware, intentionally not in the cluster path).
+              # use the bridge's Ollama-compatible root via OLLAMA_HOST.
               mkdir -p /a0/usr/plugins/_model_config
               cat > /a0/usr/plugins/_model_config/config.json << 'MODELCFG'
-              {"allow_chat_override":true,"chat_model":{"provider":"openai","name":"fc:balanced","api_base":"http://fc-llm-bridge.fc-llm-bridge.svc:8080/v1","ctx_length":8192,"ctx_history":0.7,"vision":false,"kwargs":{"temperature":0,"num_ctx":8192}},"utility_model":{"provider":"ollama","name":"qwen2.5:1.5b","api_base":"http://127.0.0.1:11434","ctx_length":8192,"ctx_input":0.7,"kwargs":{"num_ctx":8192}},"embedding_model":{"provider":"ollama","name":"nomic-embed-text","api_base":"http://127.0.0.1:11434","kwargs":{}}}
+              {"allow_chat_override":true,"chat_model":{"provider":"openai","name":"fc:balanced","api_base":"http://fc-llm-bridge.fc-llm-bridge.svc:8080/v1","ctx_length":8192,"ctx_history":0.7,"vision":false,"kwargs":{"temperature":0,"num_ctx":8192}},"utility_model":{"provider":"openai","name":"fc:cheap","api_base":"http://fc-llm-bridge.fc-llm-bridge.svc:8080/v1","ctx_length":8192,"ctx_input":0.7,"kwargs":{"num_ctx":8192}},"embedding_model":{"provider":"openai","name":"openai/fc:embedding","api_base":"http://fc-llm-bridge.fc-llm-bridge.svc:8080/v1","kwargs":{}}}
               MODELCFG
               # Strip heredoc indentation
               sed -i 's/^              //' /a0/usr/plugins/_model_config/config.json
@@ -325,8 +260,9 @@ spec:
             # Chat model — routed through FlowerCore LLM Bridge (ADR-088)
             # so spend is tracked and tier aliases (fc:cheap/fc:balanced/fc:deep)
             # dispatch to Ollama or Anthropic via a single OpenAI-compat endpoint.
-            # Util / embedding / browser stay on local Ollama via 127.0.0.1 proxy
+            # Internal utility + embedding use the authenticated OpenAI surface,
-            # for zero-latency, zero-cost small-model traffic.
+            # while browser/corpus-search use the bridge's Ollama-compatible
+            # endpoints so Agent Zero no longer needs a local proxy sidecar.
             - name: A0_SET_chat_model_provider
               value: "openai"
             - name: A0_SET_chat_model_name
@@ -348,35 +284,51 @@ spec:
                 secretKeyRef:
                   name: fc-llm-bridge-api-keys
                   key: agent-zero-k8s
+            - name: FC_LLM_BRIDGE_API_KEY
+              valueFrom:
+                secretKeyRef:
+                  name: fc-llm-bridge-api-keys
+                  key: agent-zero-k8s
             - name: A0_SET_chat_model_ctx_length
               value: "8192"
             - name: A0_SET_chat_model_kwargs
               value: '{"temperature": 0, "num_ctx": 8192}'
-            # Utility model — fast small helper tier through the same proxy
+            # Utility model — fast small helper tier through the OpenAI surface
             - name: A0_SET_util_model_provider
-              value: "ollama"
+              value: "openai"
             - name: A0_SET_util_model_name
-              value: "qwen2.5:1.5b"
+              value: "fc:cheap"
             - name: A0_SET_util_model_api_base
-              value: "http://127.0.0.1:11434"
+              value: "http://fc-llm-bridge.fc-llm-bridge.svc:8080/v1"
             - name: A0_SET_util_model_kwargs
               value: '{"num_ctx": 2048}'
-            # Embedding model — nomic through the same proxy
+            # Embedding model — authenticated bridge alias to nomic-embed-text.
+            # LiteLLM's embedding() path needs an explicit provider prefix here
+            # even though the chat slot can use bare fc:* aliases.
             - name: A0_SET_embed_model_provider
-              value: "ollama"
+              value: "openai"
             - name: A0_SET_embed_model_name
-              value: "nomic-embed-text"
+              value: "openai/fc:embedding"
             - name: A0_SET_embed_model_api_base
-              value: "http://127.0.0.1:11434"
+              value: "http://fc-llm-bridge.fc-llm-bridge.svc:8080/v1"
             # Browser model — small Gemma candidate through the same proxy
             - name: A0_SET_browser_model_provider
               value: "ollama"
             - name: A0_SET_browser_model_name
               value: "gemma3:4b"
             - name: A0_SET_browser_model_api_base
-              value: "http://127.0.0.1:11434"
+              value: "http://fc-llm-bridge.fc-llm-bridge.svc:8080"
+            - name: A0_SET_browser_model_api_key
+              valueFrom:
+                secretKeyRef:
+                  name: fc-llm-bridge-api-keys
+                  key: agent-zero-k8s
             - name: A0_SET_browser_model_vision
               value: "true"
+            - name: OLLAMA_HOST
+              value: "http://fc-llm-bridge.fc-llm-bridge.svc:8080"
+            - name: FLOWERCORE_AGENTZERO_OLLAMA_URL
+              value: "http://fc-llm-bridge.fc-llm-bridge.svc:8080"
             # Agent profile — Blue Jay personality, tools, and system prompt
             - name: A0_SET_agent_profile
               value: "bluejay"
@@ -452,7 +404,7 @@ spec:
               command:
                 - /bin/bash
                 - -c
-                - "curl -sf http://localhost:80/ > /dev/null && curl -sf --connect-timeout 3 http://127.0.0.1:11434/api/tags > /dev/null"
+                - "curl -sf http://localhost:80/ > /dev/null && curl -sf --connect-timeout 3 http://fc-llm-bridge.fc-llm-bridge.svc:8080/healthz > /dev/null"
             periodSeconds: 30
             failureThreshold: 2
           resources:
@@ -590,13 +542,6 @@ spec:
           protocol: UDP
         - port: 53
           protocol: TCP
-    # Ollama on edge1 Pi 5 + AI HAT+ (sole upstream — workstation
-    # is private dev hardware and intentionally not allowlisted)
-    - to:
-        - ipBlock:
-            cidr: 10.0.57.17/32
-      ports:
-        - port: 11434
     # Print.Web on edge2
     - to:
         - ipBlock:

apps/agent-zero/configmaps-bluejay.yaml

@@ -7209,6 +7209,9 @@ data:
             "keep_alive": keep_alive,
             "stream": False,
         })
+        curl_headers = ["-H", "Content-Type: application/json"]
+        if os.environ.get("FC_LLM_BRIDGE_API_KEY"):
+            curl_headers.extend(["-H", f"X-Api-Key: {os.environ['FC_LLM_BRIDGE_API_KEY']}"])
 
         try:
             result = subprocess.run(
@@ -7216,7 +7219,7 @@ data:
                     "curl", "-s", "--max-time", "120",
                     "-X", "POST",
                     f"{api_base}/api/generate",
-                    "-H", "Content-Type: application/json",
+                    *curl_headers,
                     "-d", payload,
                 ],
                 capture_output=True,
@@ -13191,6 +13194,7 @@ data:
         "FLOWERCORE_AGENTZERO_OLLAMA_URL",
         "http://host.containers.internal:11434",
     )
+    BRIDGE_API_KEY = os.environ.get("FC_LLM_BRIDGE_API_KEY", "").strip()
     EMBEDDING_MODEL = os.environ.get(
         "FLOWERCORE_FLEET_EMBEDDING_MODEL",
         "nomic-embed-text",
@@ -13327,10 +13331,13 @@ data:
     def _embed(text: str) -> list:
         """Embed a query via Ollama's /api/embeddings. Single-vector response."""
         body = json.dumps({"model": EMBEDDING_MODEL, "prompt": text}).encode("utf-8")
+        headers = {"Content-Type": "application/json"}
+        if BRIDGE_API_KEY:
+            headers["X-Api-Key"] = BRIDGE_API_KEY
         req = urllib.request.Request(
             f"{OLLAMA_BASE_URL.rstrip('/')}/api/embeddings",
             data=body,
-            headers={"Content-Type": "application/json"},
+            headers=headers,
         )
         with urllib.request.urlopen(req, timeout=60) as resp:
             data = json.loads(resp.read().decode("utf-8"))

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:v202604231520
+          image: localhost/fc-llm-bridge:v202604292028
           imagePullPolicy: Never
           ports:
             - containerPort: 8080
@@ -116,6 +116,10 @@ spec:
               value: "default"
             - name: FlowerCore__LlmBridge__DefaultAppName
               value: "agent-zero"
+            - name: FlowerCore__LlmBridge__UtilModel
+              value: "qwen2.5:1.5b"
+            - name: FlowerCore__LlmBridge__EmbedModel
+              value: "nomic-embed-text"
             # Per-consumer API keys — from OnePasswordItem fc-llm-bridge-api-keys.
             # Each field becomes a Secret key of the same name. The key-name
             # lands in the auth principal's `fc.app` claim for ledger scoping.