Add json editor support to client side tool

Fix the minor bugs of client side tool

Author: dharam1291

platform/agc-platform-core/src/main/resources/bootstrap-agents.json

@@ -209,5 +209,151 @@
     "model":"gpt-4.1-mini",
     "temperature":1,
     "suggestedQueries":["Find high-value customers with repeated payment failures and unresolved complaints, and apply the action assign_agent to all customers."]
+  },
+  {
+    "name": "Atom",
+    "description": "Handle SalesForce use-cases",
+    "systemPrompt": "You are agent ATOM (your nickname), who can access through provided tools: call transcripts, update Sales Force CRM and get info from Sales Force CRM.\n\nROLE\nYou are “Sales Ops Agent,” a reliable assistant for enterprise sales managers.  \nYour main purpose is to:\n1. Update Salesforce (or equivalent CRM) with call logs and opportunity notes from call transcripts.  \n2. Retrieve past call logs and opportunity context to help sales executives prepare for meetings.  \n\nPRIMARY OBJECTIVES\n- After a call: take a transcript, extract structured details, and create/update the correct call log and opportunity in the CRM.  \n- Before a meeting: fetch and summarize relevant past call logs and opportunities for the specified account/contact.  \n\nCONSTRAINTS & PRINCIPLES\n- Be tool-name agnostic. Match capabilities by purpose (e.g., “get transcript,” “update CRM log,” “fetch past CRM logs”) rather than by exact function name.  \n- Never invent Salesforce IDs or data. Use only user input or tool outputs.  \n- Keep updates minimal and accurate — only update/create what’s explicitly mentioned.  \n- Keep outputs compact, structured, and useful for a sales manager.  \n\nAVAILABLE CAPABILITIES\n- **Transcript Retrieval Tool**: to get call transcript for account. This tool provides the complete transcript of the call with the client.\n- **CRM Update Tool**: update call logs in CRM against the account. Generally, this information is updated just after call with the client.\n- **CRM Fetch Tool**: get past call logs against the account.\n\nACCOUNT EXAMPLES:\n- BMW\n- Siemens\n\nTRANSCRIPT DATA EXTRACTION\nFrom a call transcript, identify:\n- Participants (names, roles, emails if available).  \n- Account & Contact names.  \n- Opportunity mentions (name, stage, amount, close date, competitors).  \n- Call metadata (datetime, duration, key topics, decisions, objections, risks, commitments).  \n- Action items/next steps (with owner and due date).  \n- Sentiment: positive / neutral / negative.  \n\nOutput Instructions:\n1. Provide bullet points in answer to question.\n2. Add: \n- What you accomplished?\n- What can be done next?\n \nTodays date is 22/09/2025",
+    "tools": [
+      {
+        "type": "function",
+        "name": "salesforce_data_extraction",
+        "description": "This tool can get data about past call logs and opportunities logged for an account in sales force.",
+        "parameters": {
+          "type": "object",
+          "properties": {
+            "workflow_id": {
+              "type": "string",
+              "description": "Id of the workflow to be executed",
+              "enum": [
+                "ff8735d6-4bc0-4c3b-9dee-030776440c72"
+              ]
+            },
+            "Input": {
+              "type": "object",
+              "description": "The object that contains information about account to search for call log, opportunity.",
+              "properties": {
+                "search_term": {
+                  "type": "string",
+                  "description": "The account name for search. For example - BW, Siemens, Volkswagen"
+                }
+              }
+            },
+            "execution_specs": {
+              "type": "object",
+              "properties": {
+                "type": {
+                  "type": "string",
+                  "enum": [
+                    "client_side"
+                  ]
+                },
+                "maxRetryAttempts": {
+                  "type": "number",
+                  "enum": [
+                    1
+                  ]
+                },
+                "waitTimeInMillis": {
+                  "type": "number",
+                  "enum": [
+                    60000
+                  ]
+                }
+              }
+            }
+          },
+          "required": [
+            "workflow_id",
+            "Input"
+          ],
+          "additionalProperties": false
+        },
+        "strict": true
+      },
+      {
+        "type": "function",
+        "name": "salesforce_opportunity_creation",
+        "description": "This tool can update call logs in sales force. Call logs are generally updated after sales meeting with the customer.",
+        "parameters": {
+          "type": "object",
+          "properties": {
+            "workflow_id": {
+              "type": "string",
+              "description": "Id of the workflow to be executed",
+              "enum": [
+                "ff8735d6-4bc0-4c3b-9dee-030776440c72"
+              ]
+            },
+            "Input": {
+              "type": "object",
+              "description": "The object that contains information about account to search, call log, opportunity.",
+              "properties": {
+                "search_term": {
+                  "type": "string",
+                  "description": "The account name for search. For example - BW, Siemens, Volkswagen"
+                },
+                "subject_option": {
+                  "type": "string",
+                  "description": "The subject, always picked from default",
+                  "default": "Call"
+                },
+                "call_details": {
+                  "type": "string",
+                  "description": "The discussion of the call to be logged. Can be a bullet list that summarised the call in various sections like: progress, client mood, pain-points, opportunities"
+                },
+                "contact_name": {
+                  "type": "string",
+                  "description": "Name/designation of the contact person."
+                },
+                "opportunity_name": {
+                  "type": "string",
+                  "description": "concise one sentence about the opportunity available."
+                },
+                "opportunity_description": {
+                  "type": "string",
+                  "description": "Detailed description of the opportunity"
+                },
+                "close_date": {
+                  "type": "string",
+                  "description": "Expected close date of the opportunity. If not available then set as +5 days from the current date in format DD/MM/YYYY. Example date can be like this - 22/09/2025"
+                }
+              }
+            },
+            "execution_specs": {
+              "type": "object",
+              "properties": {
+                "type": {
+                  "type": "string",
+                  "enum": [
+                    "client_side"
+                  ]
+                },
+                "maxRetryAttempts": {
+                  "type": "number",
+                  "enum": [
+                    1
+                  ]
+                },
+                "waitTimeInMillis": {
+                  "type": "number",
+                  "enum": [
+                    60000
+                  ]
+                }
+              }
+            }
+          },
+          "required": [
+            "workflow_id",
+            "Input"
+          ],
+          "additionalProperties": false
+        },
+        "strict": true
+      }
+    ],
+    "model":"gpt-4.1-mini",
+    "temperature":1
   }
 ]

ui/src/components/AiPlayground.tsx

@@ -1006,7 +1006,8 @@ const AiPlayground: React.FC = () => {
       console.log('Has client-side tools:', hasClientSideTools(agent));
 
       // Check if agent has client-side tools and show prerequisite dialog
-      if (hasClientSideTools(agent)) {
+      // Skip showing dialog if agent name contains "Atom" (case-insensitive)
+      if (hasClientSideTools(agent) && !agent.name.toLowerCase().includes('atom')) {
         console.log('Showing prerequisite dialog for agent:', agent.name);
         setPrerequisiteDialogOpen(true);
       }

ui/src/components/ArrayItemsModal.tsx

@@ -51,7 +51,8 @@ const ArrayItemsModal: React.FC<ArrayItemsModalProps> = ({
     if (open) {
       if (initialItems) {
         setItems(initialItems);
-        setPropertyType(initialItems.type);
+        // If property has enum values, treat it as enum type in UI (even if saved type is 'string')
+        setPropertyType(initialItems.enum && initialItems.enum.length > 0 ? 'enum' : initialItems.type);
         setPropertyDescription(initialItems.description || '');
         setPropertyDefaultValue(initialItems.default !== undefined ? JSON.stringify(initialItems.default) : '');
         setPropertyEnumValues(initialItems.enum || []);
@@ -120,7 +121,7 @@ const ArrayItemsModal: React.FC<ArrayItemsModalProps> = ({
     const parsedDefaultValue = parseDefaultValue(propertyDefaultValue, propertyType);
 
     const newItems: PropertyDefinition = {
-      type: propertyType,
+      type: propertyType === 'enum' ? 'string' : propertyType,
       description: propertyDescription.trim() || undefined,
       ...(parsedDefaultValue !== undefined && { default: parsedDefaultValue }),
       ...(propertyType === 'enum' && propertyEnumValues.length > 0 && { enum: propertyEnumValues }),
@@ -134,7 +135,8 @@ const ArrayItemsModal: React.FC<ArrayItemsModalProps> = ({
   const handleCancel = () => {
     if (initialItems) {
       setItems(initialItems);
-      setPropertyType(initialItems.type);
+      // If property has enum values, treat it as enum type in UI (even if saved type is 'string')
+      setPropertyType(initialItems.enum && initialItems.enum.length > 0 ? 'enum' : initialItems.type);
       setPropertyDescription(initialItems.description || '');
       setPropertyDefaultValue(initialItems.default !== undefined ? JSON.stringify(initialItems.default) : '');
       setPropertyEnumValues(initialItems.enum || []);