initial-version-sam-kong-ai codelab

markdown/solace-agent-mesh-kong-ai/files/marketplace_agent.yaml

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+# Solace Agent Mesh Agent Configuration
+
+log:
+  stdout_log_level: INFO
+  log_file_level: DEBUG
+  log_file: marketplace_agent.log
+
+# Shared SAM config
+!include ../shared_config.yaml
+
+apps:
+  - name: "MarketplaceAgent_app"
+    app_base_path: .
+    app_module: solace_agent_mesh.agent.sac.app
+    broker:
+      <<: *broker_connection
+
+    app_config:
+      namespace: "${NAMESPACE}"
+      supports_streaming: true
+      agent_name: "MarketplaceAgent"
+      display_name: "Marketplace Agent"
+      model: 
+        *general_model
+      trust_manager:
+        enabled: true
+        card_publish_interval_seconds: 10
+        card_expiration_days: 7
+        verification_mode: "permissive"  # or "strict" for production
+        clock_skew_tolerance_seconds: 300
+        enable_time_validation: true
+        jwt_default_ttl_seconds: 36000
+        jwt_max_ttl_seconds: 864000
+
+      instruction: |
+        You are a helpful AI assistant named Marketplace Agent.
+        Using the users and orders tools you help shop administrators to find orders and customer data that matches their prompts. To find a users orders you can either attempt to get orders by userid or get a list of orders and filter the matching orders.
+
+      tools: 
+        - group_name: artifact_management
+          tool_type: builtin-group
+        - tool_type: mcp
+          connection_params:
+            type: streamable-http
+            url: "${MCP_MARKETPLACE_URL, http://localhost:8081/mcp-listener}"
+            headers:
+              Authorization: "Bearer ${MCP_MARKETPLACE_TOKEN, nokey}"          
+      session_service: 
+        type: ${PERSISTENCE_TYPE, sql}
+        database_url: ${DATABASE_URL, sqlite:///agent_019aa779_b318_73d0_9f23_80ff919db0b2.db}
+        default_behavior: PERSISTENT
+      artifact_service: *default_artifact_service
+      artifact_handling_mode: "reference"
+      enable_embed_resolution: true
+      enable_artifact_content_instruction: true
+
+      # Agent Card Definition
+      agent_card:
+        description: |
+          A helpful AI assistant for marketplace administrators to find order and customer information.
+        defaultInputModes: [text] 
+        defaultOutputModes: [text, file] 
+        skills: []
+
+      # Discovery & Communication
+      agent_card_publishing: 
+        interval_seconds: 10
+      agent_discovery: 
+        enabled: true
+      inter_agent_communication:
+        allow_list: [] 
+        request_timeout_seconds: 600
+

markdown/solace-agent-mesh-kong-ai/files/solace-ai-proxy.yaml

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+_format_version: "3.0"
+_info:
+  select_tags:
+  - llm
+services:
+- name: service1
+  host: localhost
+  port: 32000
+  routes:
+  - name: route1
+    paths:
+    - /llm-route
+    plugins:
+    - name: ai-proxy-advanced
+      instance_name: "ai-proxy-llm"
+      config:
+        genai_category: text/generation
+        llm_format: openai
+        max_request_body_size: 1048576
+        model_name_header: true
+        response_streaming: allow
+        targets:
+        - route_type: "llm/v1/chat"
+          model:
+            provider: "openai"
+            options:
+              upstream_url: ${{ env "DECK_LLM_BACK_END_URL" }}            
+    - name: ai-prompt-decorator
+      instance_name: ai-prompt-decorator-llm
+      config:
+        max_request_body_size: 1048576
+        prompts:
+          prepend:
+          - role: system
+            content: "You will always respond in the style of a pirate."
+    - name: pre-function
+      instance_name: ai-pre-transform-llm    
+      config:
+        access:
+        - |-
+          local function transform_payload(data)
+            if data.messages then
+              for i, message in ipairs(data.messages) do
+                if message.role == "system" and type(message.content) == "table" then
+                  if #message.content == 1 and message.content[1].type == "text" then
+                    message.content = message.content[1].text
+                  end
+                end
+              end
+            end
+            return data
+          end
+          local body = kong.request.get_body()
+          if body and type(body) == "table" then
+            local transformed = transform_payload(body)
+            kong.service.request.set_body(transformed)
+          end