added token usage tracking from LibreChat transactions collection

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

export_shared_agents.js

@@ -104,6 +104,61 @@ const pipeline = [
   },
   { $unwind: { path: "$usageSummary", preserveNullAndEmptyArrays: true } },
 
+  // NEW: Get token usage from transactions collection
+  {
+    $lookup: {
+      from: "conversations",
+      let: { agentId: "$agentDetails.id" },
+      pipeline: [
+        {
+          $match: {
+            $expr: { $eq: ["$agent_id", "$$agentId"] },
+            endpoint: "agents"
+          }
+        },
+        // Lookup transactions for each conversation
+        {
+          $lookup: {
+            from: "transactions",
+            localField: "conversationId",
+            foreignField: "conversationId",
+            as: "txns"
+          }
+        },
+        { $unwind: "$txns" },
+        // Aggregate token totals across all conversations
+        {
+          $group: {
+            _id: null,
+            prompt_tokens: {
+              $sum: {
+                $cond: [
+                  { $eq: ["$txns.tokenType", "prompt"] },
+                  { $abs: "$txns.rawAmount" },
+                  0
+                ]
+              }
+            },
+            completion_tokens: {
+              $sum: {
+                $cond: [
+                  { $eq: ["$txns.tokenType", "completion"] },
+                  { $abs: "$txns.rawAmount" },
+                  0
+                ]
+              }
+            },
+            total_tokens: {
+              $sum: { $abs: "$txns.rawAmount" }
+            }
+          }
+        }
+      ],
+      as: "tokenUsage"
+    }
+  },
+  { $unwind: { path: "$tokenUsage", preserveNullAndEmptyArrays: true } },
+
   // Add usage data to agentDetails
   {
     $set: {
@@ -132,6 +187,11 @@ const pipeline = [
             else: null
           }
         }
+      },
+      "agentDetails.token_usage": {
+        prompt_tokens: { $ifNull: ["$tokenUsage.prompt_tokens", 0] },
+        completion_tokens: { $ifNull: ["$tokenUsage.completion_tokens", 0] },
+        total_tokens: { $ifNull: ["$tokenUsage.total_tokens", 0] }
       }
     }
   },
@@ -141,7 +201,8 @@ const pipeline = [
       "agentDetails.instructions": 0,
       "authorDetails": 0,
       "usageTimeline": 0,
-      "usageSummary": 0
+      "usageSummary": 0,
+      "tokenUsage": 0
     }
   }
 ];

register_agents.py

@@ -144,6 +144,7 @@ def build_payload(agent: Dict[str, Any]) -> Dict[str, Any]:
     # Extract usage data
     usage_timeline = agent.get("usage_timeline", [])
     usage_summary = agent.get("usage_summary", {})
+    token_usage = agent.get("token_usage", {})
 
     # Construct agent URL for LibreChat
     agent_url = None
@@ -174,6 +175,10 @@ def build_payload(agent: Dict[str, Any]) -> Dict[str, Any]:
         "total_messages": usage_summary.get("total_messages", 0),
         "first_used": parse_iso(usage_summary.get("first_used")),
         "last_used": parse_iso(usage_summary.get("last_used")),
+        # Token usage:
+        "prompt_tokens": token_usage.get("prompt_tokens", 0),
+        "completion_tokens": token_usage.get("completion_tokens", 0),
+        "total_tokens": token_usage.get("total_tokens", 0),
     }
     # Final prune of empties so the API only sees meaningful data
     for k in list(payload.keys()):