feat: add @tag model override support and remove Qdrant dependencies

- Add model-tags parser for @Tag syntax in chat messages
- Support Anthropic models (Sonnet, Haiku, Opus) via @tag
- Remove Qdrant vector database from infrastructure and configs
- Simplify license model config to use null fallbacks
- Add greeting stream after model switch via @tag
- Fix protobuf field names to camelCase for v7 compatibility
- Add 429 rate limit retry logic with exponential backoff
- Remove RAG references from agent harness documentation

deploy/k8s/prod/configs/gateway-config.yaml

@@ -21,30 +21,6 @@ data:
       model_provider: deepinfra
       model: zai-org/GLM-5
 
-    # License tier model configuration
-    license_models:
-      # Free tier models
-      free:
-        default: zai-org/GLM-5
-        cost_optimized: zai-org/GLM-5
-        complex: zai-org/GLM-5
-        allowed_models:
-          - zai-org/GLM-5
-
-      # Pro tier models
-      pro:
-        default: zai-org/GLM-5
-        cost_optimized: zai-org/GLM-5
-        complex: zai-org/GLM-5
-        blocked_models:
-          - Qwen/Qwen3-235B-A22B-Instruct-2507
-
-      # Enterprise tier models
-      enterprise:
-        default: zai-org/GLM-5
-        cost_optimized: zai-org/GLM-5
-        complex: Qwen/Qwen3-235B-A22B-Instruct-2507
-
     # Kubernetes configuration
     kubernetes:
       namespace: sandbox
@@ -59,11 +35,6 @@ data:
     redis:
       url: redis://dragonfly:6379
 
-    # Qdrant (for RAG vector search)
-    qdrant:
-      url: http://qdrant:6333
-      collection: gateway_memory
-
     # Agent configuration
     agent:
       # Number of prior conversation turns loaded as LLM context and flushed to Iceberg at session end

deploy/k8s/prod/infrastructure.yaml

@@ -45,67 +45,6 @@ spec:
             memory: "512Mi"
             cpu: "500m"
 ---
-# Qdrant (Vector database for RAG)
-apiVersion: v1
-kind: Service
-metadata:
-  name: qdrant
-spec:
-  selector:
-    app: qdrant
-  ports:
-    - name: http
-      protocol: TCP
-      port: 6333
-      targetPort: 6333
-    - name: grpc
-      protocol: TCP
-      port: 6334
-      targetPort: 6334
-  type: ClusterIP
----
-apiVersion: apps/v1
-kind: StatefulSet
-metadata:
-  name: qdrant
-spec:
-  serviceName: qdrant
-  replicas: 1
-  selector:
-    matchLabels:
-      app: qdrant
-  template:
-    metadata:
-      labels:
-        app: qdrant
-    spec:
-      containers:
-      - name: qdrant
-        image: qdrant/qdrant:latest
-        ports:
-        - containerPort: 6333
-          name: http
-        - containerPort: 6334
-          name: grpc
-        resources:
-          requests:
-            memory: "512Mi"
-            cpu: "200m"
-          limits:
-            memory: "1Gi"
-            cpu: "1000m"
-        volumeMounts:
-        - name: qdrant-data
-          mountPath: /qdrant/storage
-  volumeClaimTemplates:
-  - metadata:
-      name: qdrant-data
-    spec:
-      accessModes: ["ReadWriteOnce"]
-      resources:
-        requests:
-          storage: 10Gi
----
 # Kafka (KRaft mode - no Zookeeper needed)
 apiVersion: v1
 kind: Service

deploy/k8s/prod/kustomization.yaml

@@ -11,7 +11,7 @@ resources:
   - ../base
   # Add the 'ai' namespace (base only creates 'sandbox')
   - namespaces.yaml
-  # Prod infrastructure (postgres, minio, kafka, flink, relay, ingestor, qdrant, dragonfly, iceberg)
+  # Prod infrastructure (postgres, minio, kafka, flink, relay, ingestor, dragonfly, iceberg)
   - infrastructure.yaml
   # Sandbox namespace resources (go to sandbox namespace, not ai)
   - sandbox-config.yaml

deploy/k8s/prod/secrets/gateway-secrets.tpl.yaml

@@ -19,6 +19,7 @@ stringData:
     # LLM Provider API Keys
     llm_providers:
       deepinfra_api_key: "{{ op://AI Prod/Gateway/deepinfra_api_key }}"
+      anthropic_api_key: "{{ op://AI Prod/Gateway/anthropic_api_key }}"
 
     # Search API Keys
     search:
@@ -36,10 +37,6 @@ stringData:
     push:
       service_key: ""
 
-    # Qdrant API key (optional, for hosted Qdrant)
-    qdrant:
-      api_key: ""
-
     # Iceberg S3 credentials (must match minio-secret)
     iceberg:
       s3_access_key: "{{ op://AI Prod/MinIO/access_key }}"