Specify Default Embed Model

Added `memoryScanIntervalSeconds` with a default of 5 mins.

Opted to set `useMemoryScanner` to false so by default our user's sessions are not sent to the cloud before they have a chance to configure the new setting.

salt/soc/defaults.yaml

@@ -1537,6 +1537,18 @@ soc:
             Orchestrator: sonnet@SOAI
             Investigator: gemma@SOAI
             DetectionEngineer: gemma@SOAI
+          useMemory: true
+          useMemoryScanner: false
+          memoryScanIntervalSeconds: 300
+          memoryProximityThreshold: 0.8
+          messageProximityThreshold: 0.5
+          maxUserMemoriesToInclude: 5
+          maxGlobalMemoriesToInclude: 5
+          maxUserMemoriesToReconcile: 20
+          maxGlobalMemoriesToReconcile: 20
+          memoryModel: gemma@SOAI
+          embedModel: amazon.titan-embed-text-v2@SOAI
+          reconcileModel: gemma@SOAI
         onionconfig:
           saltstackDir: /opt/so/saltstack
           bypassEnabled: false
@@ -2727,5 +2739,14 @@ soc:
               enabled: true
               adapter: SOAI
               charsPerTokenEstimate: 4
+            - id: amazon.titan-embed-text-v2
+              displayName: amazon.titan-embed-text-v2
+              origin: USA
+              contextLimitSmall: 8192
+              contextLimitLarge: 8192
+              lowBalanceColorAlert: 500000
+              enabled: true
+              adapter: SOAI
+              charsPerTokenEstimate: 4
               
             

salt/soc/soc_soc.yaml

@@ -845,6 +845,42 @@ soc:
             DetectionEngineer:
               description: This agent manages detections and their overrides, including tuning noisy rules and authoring rule content.
               global: True
+          useMemory:
+            description: Enables the Memory system for OnionAI
+            global: True
+          useMemoryScanner:
+            description: Enables the memory scanner for automatic memory extraction from historical sessions.
+            global: True
+          memoryScanIntervalSeconds:
+            description: How long to wait in seconds between attempts to scan sessions for new memories.
+            global: True
+          memoryProximityThreshold:
+            description: Describes how close memories need to be on a floating point scale from 0.0 to 1.0 to be considered when reconciling new memories with old ones. This value is usually higher than messageProximityThreshold.
+            global: True
+          messageProximityThreshold:
+            description: Describes how close a memory needs to be to a user's message on a floating point scale from 0.0 to 1.0 to be included in the context. This value is usually lower than memoryProximityThreshold.
+            global: True
+          maxUserMemoriesToInclude:
+            description: Specify the max number of user-specific memories to include in the prompt when a user sends a message.
+            global: True
+          maxGlobalMemoriesToInclude:
+            description: Specify the max number of global memories to include in the prompt when a user sends a message.
+            global: True
+          maxUserMemoriesToReconcile:
+            description: When reconciling new user-specific memories with existing user-specific memories, this determines how many old memories may be considered.
+            global: True
+          maxGlobalMemoriesToReconcile:
+            description: When reconciling new global memories with existing global memories, this determines how many old memories may be considered.
+            global: True
+          memoryModel:
+            description: The model to use when extracting memories from sessions.
+            global: True
+          embedModel: 
+            description: The model to use when embedding a memory as a vector. Note that only memories embedded using the same model may be compared and only memories created with the model specified here will be considered when informing an agent of existing memories.
+            global: True
+          reconcileModel:
+            description: The model to use when reconciling memories that contain nearly the same content.
+            global: True
       client:
         assistant:
           enabled: