feat: add CanvasReasonerActivity for auto-inferring workflow connections

internal/routing/activity_knowledge_base.json

@@ -593,11 +593,79 @@
         "dependencies": [],
         "notes": "Sequential processing of multiple prompts. Use for batch analysis, summarization, etc."
       }
+    },
+    {
+      "name": "CanvasReasonerActivity",
+      "description": "Use LLM reasoning to infer and suggest connections between workflow activities",
+      "category": "workflow",
+      "inputs": {
+        "nodes": {
+          "type": "array",
+          "description": "Canvas workflow nodes to analyze",
+          "required": true,
+          "items": {
+            "type": "object",
+            "properties": {
+              "id": {"type": "string"},
+              "type": {"type": "string"},
+              "label": {"type": "string"}
+            }
+          }
+        },
+        "edges": {
+          "type": "array",
+          "description": "Existing edges in the workflow",
+          "required": false,
+          "items": {
+            "type": "object"
+          }
+        },
+        "preserve_existing": {
+          "type": "boolean",
+          "description": "If true, only suggest new edges; if false, redesign entire workflow",
+          "required": false,
+          "default": true
+        },
+        "auth_token": {
+          "type": "string",
+          "description": "JWT token for authenticated LLM calls",
+          "required": false
+        }
+      },
+      "outputs": {
+        "suggested_edges": {
+          "type": "array",
+          "description": "Edges suggested by LLM reasoning",
+          "items": {
+            "type": "object",
+            "properties": {
+              "source": {"type": "string"},
+              "target": {"type": "string"}
+            }
+          }
+        },
+        "reasoning": {
+          "type": "string",
+          "description": "LLM explanation of suggested connections"
+        },
+        "confidence": {
+          "type": "number",
+          "description": "Confidence score (0.0-1.0) of the suggestions"
+        }
+      },
+      "constraints": {
+        "defaultTimeout": "120s",
+        "isFlaky": true,
+        "recommendedRetries": 2,
+        "retryBackoff": 2.0,
+        "dependencies": [],
+        "notes": "Uses reasoning model to analyze workflow logic. Good for understanding data flow and connections between activities."
+      }
     }
   ],
   "metadata": {
-    "totalActivities": 12,
-    "lastUpdated": "2025-08-31T00:00:00Z",
+    "totalActivities": 13,
+    "lastUpdated": "2025-09-05T00:00:00Z",
     "categories": {
       "repository": 1,
       "analysis": 1,
@@ -609,7 +677,8 @@
       "storage": 1,
       "memory": 1,
       "authentication": 1,
-      "llm": 2
+      "llm": 2,
+      "workflow": 1
     }
   }
 }

internal/routing/canvas_converter.go

@@ -113,6 +113,7 @@ func (cc *CanvasConverter) mapActivityType(canvasType string) string {
 		"assume-role":         "AssumeRoleActivity",
 		"llm-inference":       "LLMInferenceActivity",
 		"llm-batch-inference": "LLMBatchInferenceActivity",
+		"canvas-reasoner":     "CanvasReasonerActivity",
 	}
 
 	if mapped, ok := typeMap[canvasType]; ok {

internal/routing/canvas_validator.go

@@ -28,6 +28,7 @@ func NewCanvasValidator() *CanvasValidator {
 			"assume-role":             true,
 			"llm-inference":           true,
 			"llm-batch-inference":     true,
+			"canvas-reasoner":         true,
 		},
 	}
 }