Add files using upload-large-folder tool

.gitattributes

@@ -1,35 +1,2 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+# SCM syntax highlighting & preventing 3-way merges
+pixi.lock merge=binary linguist-language=YAML linguist-generated=true

body-text-page1.txt

@@ -0,0 +1 @@
+"Jump to main content\nJump to sidebar\nPostmill\nForums\nWiki\n Submit\n forum_engage_193 \n/f/funny\nSubmissions\nComments\n Top \n All time \nIn honour of FIFA, who are absolutely not corrupt bastards\n\nSubmitted by daveclampart t3_z01bdx 4 years ago\n\n169 comments\n21801\nAccurate holiday season\n\nSubmitted by FriendLost9587 t3_zyb5eb 3 years ago\n\n149 comments\n16690\nHappy Halloween!\n\nSubmitted by joshsundquist t3_yhyem8 4 years ago\n\n180 comments\n14375\nGotta love the practicality. (Hilarious, genius solution by busy grocery worker on Thanksgiving a.m.)\n\nSubmitted by SoColdSoFair t3_z5qenz 4 years ago\n\n156 comments\n12830\nNeighborhood Watch\n\nSubmitted by Prynce27 t3_127nk3k 3 years ago\n\n88 comments\n10829\nGuilty [OC]\n\nSubmitted by zenacomics t3_122iu61 3 years ago\n\n69 comments\n10639\nParenthood in a pic\n\nSubmitted by MovingMoluccas98 t3_yg75do 4 years ago\n\n190 comments\n10503\nThe Trouser Snake\n\nSubmitted by Eye_Juice t3_z8mleq 4 years ago\n\n44 comments\n9302\nMonster in the closet [OC]\n\nSubmitted by ToothyBjComic t3_yhgque 4 years ago\n\n40 comments\n9085\nFor Halloween I'm not a cat.\n\nSubmitted by Greenwing t3_yi9s1d 4 years ago\n\n98 comments\n8580\nMy mom and her siblings, 1971 and 2023\n\nSubmitted by ek599 t3_121vmia 3 years ago\n\n169 comments\n7770\nShe said she wanted a man of the streets… I said “Baby I am the streets”\n\nSubmitted by TheChrisFlowers t3_yipsiu 4 years ago\n\n35 comments\n7430\nPregnancy Thoughts [OC]\n\nSubmitted by LitterboxComics t3_10l3sv8 3 years ago\n\n90 comments\n6856\n\"I am for real\"\n\nSubmitted by NationYell t3_1228tsr 3 years ago\n\n106 comments\n6558\nVisited a farm in Australia with good sense of humour\n\nSubmitted by sparekh1 t3_11oxsso 3 years ago\n\n70 comments\n6026\nLate Worm\n\nSubmitted by daveclampart t3_z6akkr 4 years ago\n\n66 comments\n6007\nMy friend sent me this from an oil conference\n\nSubmitted by heinzhinesheinz t3_126wfcr 3 years ago\n\n160 comments\n5899\nThe struggle is real...\n\nSubmitted by BanginDrumsNMums t3_yhqx1r 4 years ago\n\n59 comments\n5468\nMy girlfriend and I have a long running game going with my parents where we pick up filthy fridge magnets and hide them in each other's homes. This one has made it through since the 24th undetected.\n\nSubmitted by Finsceal t3_zwmt34 3 years ago\n\n128 comments\n5466\nJesus vs. Medusa\n\nSubmitted by wellthenmk t3_11b0cpu 3 years ago\n\n58 comments\n5257\nMaybe I need to lay off the holiday treats and go to the gym.\n\nSubmitted by xjinxxz t3_zxwc7y 3 years ago\n\n168 comments\n5199\nmotivation for today 🤙\n\nSubmitted by georgiobtc t3_1194n2z 3 years ago\n\n18 comments\n5108\nnow THAT'S customer service\n\nSubmitted by 54_actual t3_10ni136 3 years ago\n\n40 comments\n4729\nFound this at a very prominently christian thrift store\n\nSubmitted by ivunka_turnip t3_116si33 3 years ago\n\n141 comments\n4677\nThe royal family will make me disappear for making this\n\nSubmitted by Crispy_p_bacon t3_yg2lr8 4 years ago\n\n148 comments\n4555\nMore\nfunny\nSubscribe\n0\n\nt5_2qh33\n\nCreated 4 years ago\n Subscribe via RSS\nHide this forum\nToolbox\nBans\nModeration log\n\nRunning Postmill"

build-docker.sh

@@ -0,0 +1,32 @@
+#!/bin/bash
+
+# Build Docker image for MCPMark
+set -e
+
+# Color codes for output
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m' # No Color
+
+echo -e "${YELLOW}Building MCPMark Docker image locally...${NC}"
+
+# Build the Docker image with the same tag as Docker Hub for local testing
+docker build -t evalsysorg/mcpmark:latest . "$@"
+
+# Check if build was successful
+if [ $? -eq 0 ]; then
+    echo -e "${GREEN}✓ Docker image built successfully${NC}"
+    echo "  Tag: evalsysorg/mcpmark:latest"
+
+    # Show image info
+    echo ""
+    echo "Image details:"
+    docker images evalsysorg/mcpmark:latest --format "table {{.Repository}}\t{{.Tag}}\t{{.Size}}\t{{.CreatedAt}}"
+
+    echo ""
+    echo "You can now run tasks using:"
+    echo "  ./run-task.sh --mcp notion --models o3 --exp-name test --tasks all"
+else
+    echo "Docker build failed!"
+    exit 1
+fi

customers.json

@@ -0,0 +1,155 @@
+- generic [active] [ref=e1]:
+  - generic [ref=e2]:
+    - link "Magento Admin Panel" [ref=e3] [cursor=pointer]:
+      - /url: http://localhost:7790/admin/admin/
+      - img "Magento Admin Panel" [ref=e4]
+    - navigation [ref=e5]:
+      - menubar [ref=e6]:
+        - listitem [ref=e7]:
+          - link " Dashboard" [ref=e8] [cursor=pointer]:
+            - /url: http://localhost:7790/admin/admin/dashboard/
+        - listitem [ref=e9]:
+          - link " Sales" [ref=e10] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e11]:
+          - link " Catalog" [ref=e12] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e13]:
+          - link " Customers" [ref=e14] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e15]:
+          - link " Marketing" [ref=e16] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e17]:
+          - link " Content" [ref=e18] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e19]:
+          - link " Reports" [ref=e20] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e21]:
+          - link " Stores" [ref=e22] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e23]:
+          - link " System" [ref=e24] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e25]:
+          - link " Find Partners & Extensions" [ref=e26] [cursor=pointer]:
+            - /url: http://localhost:7790/admin/marketplace/index/
+  - generic [ref=e27]:
+    - banner [ref=e29]:
+      - heading "Customers" [level=1] [ref=e32]
+      - generic [ref=e33]:
+        - link " admin" [ref=e35] [cursor=pointer]:
+          - /url: http://localhost:7790/admin/admin/system_account/index/
+          - text: 
+          - generic [ref=e37]: admin
+        - link "" [ref=e39] [cursor=pointer]:
+          - /url: http://localhost:7790/admin/admin/notification/index/
+        - generic:
+          - generic:
+            - generic
+    - main [ref=e42]:
+      - button "Add New Customer" [ref=e45] [cursor=pointer]
+      - generic [ref=e49]:
+        - generic [ref=e72]:
+          - generic [ref=e73]:
+            - generic [ref=e74]
+            - generic [ref=e82]
+            - button "Filters" [ref=e87] [cursor=pointer]
+          - generic [ref=e88]:
+            - button "Actions" [ref=e91] [cursor=pointer]
+            - generic [ref=e93]
+        - text:                   ↓
+        - table [ref=e108]:
+          - rowgroup [ref=e109]:
+            - row "Options ↓ Name Email Group Phone ZIP Country State/Province Customer Since" [ref=e110]
+          - rowgroup [ref=e133]:
+            - row "Adam Garcia gamingpro456@gmail.com General 2065555555 98122 United States Washington Apr 19, 2023 5:46:14 PM" [ref=e134]
+            - row "Adam Garcia adam.garcia@gmail.com General 6025551212 85004 United States Arizona Apr 19, 2023 5:46:40 PM" [ref=e155]
+            - row "Alex Johnson fitnessjunkie22@yahoo.com General 3105555555 90212 United States California Apr 19, 2023 5:46:07 PM" [ref=e176]
+            - row "Alex Martin alex.martin@gmail.com General 2125551212 10001 United States New York Apr 19, 2023 5:46:20 PM" [ref=e197]
+            - row "Alexander Thomas alexander.thomas@hotmail.com General 3235551212 90028 United States California Apr 19, 2023 5:46:50 PM" [ref=e218]
+            - row "Amanda Kim amanda.kim@gmail.com General 2015551234 07030 United States New Jersey Apr 23, 2023 12:13:15 AM" [ref=e239]
+            - row "Anna Nguyen anna.nguyen@yahoo.com General 7135551212 77002 United States Texas Apr 23, 2023 12:13:09 AM" [ref=e260]
+            - row "Ava Brown beachlover99@yahoo.com General 3105555555 90265 United States California Apr 19, 2023 5:46:01 PM" [ref=e281]
+            - row "Bob Johnson bob123@hotmail.com General 9721234567 75080 United States Texas Apr 19, 2023 5:45:14 PM" [ref=e302]
+            - row "Bob Jones bbjones@gmail.com General 2141918677 75202 United States Texas Apr 19, 2023 5:45:04 PM" [ref=e323]
+            - row "Brian Smith brian.smith@yahoo.com General 7025551212 89109 United States Nevada Apr 19, 2023 5:46:44 PM" [ref=e344]
+            - row "Daniel Jackson daniel.jackson@hotmail.com General 2155556789 19102 United States Pennsylvania Apr 19, 2023 5:45:27 PM" [ref=e365]
+            - row "David Lee david.lee@gmail.com General 6175551212 02108 United States Massachusetts Apr 19, 2023 5:46:30 PM" [ref=e386]
+            - row "David Smith david.smith@gmail.com General 2145551212 75201 United States Texas Apr 23, 2023 12:12:54 AM" [ref=e407]
+            - row "Emily Chen emily.chen@hotmail.com General 6175551212 02108 United States Massachusetts Apr 23, 2023 12:13:05 AM" [ref=e428]
+            - row "Emily Wilson emily.wilson@gmail.com General 3125551212 60611 United States Illinois Apr 23, 2023 12:14:24 AM" [ref=e449]
+            - row "Emma Davis musiclover99@hotmail.com General 5125555555 78701 United States Texas Apr 19, 2023 5:46:10 PM" [ref=e470]
+            - row "Emma Lopez emma.lopez@gmail.com General 6505551212 94010 United States California Apr 23, 2023 12:14:57 AM" [ref=e491]
+            - row "Ethan Garcia ethan.garcia@yahoo.com General 2145551212 75201 United States Texas Apr 23, 2023 12:13:53 AM" [ref=e512]
+            - row "Grace Nguyen avidreader99@yahoo.com General 6175555555 02138 United States Massachusetts Apr 19, 2023 5:45:51 PM" [ref=e533]
+            - row "Hannah Lim hannah.lim@gmail.com General 7035551212 22030 United States Virginia Apr 23, 2023 12:14:40 AM" [ref=e554]
+            - row "Isaac Rodriguez isaac.rodriguez@gmail.com General 6025551212 85004 United States Arizona Apr 23, 2023 12:14:45 AM" [ref=e575]
+            - row "Isabella Santos isabella.santos@gmail.com General 3055551212 33130 United States Florida Apr 23, 2023 12:14:32 AM" [ref=e596]
+            - row "Jacob Rivera jacob.rivera@hotmail.com General 6025551212 85004 United States Arizona Apr 23, 2023 12:14:01 AM" [ref=e617]
+            - row "James Baker james.baker@gmail.com General 2145551212 75201 United States Texas Apr 23, 2023 12:14:28 AM" [ref=e638]
+            - row "James Kim james.kim@gmail.com General 3125551212 60601 United States Illinois Apr 23, 2023 12:13:29 AM" [ref=e659]
+            - row "Jane Doe jane.doe@hotmail.com General 4123671901 33139 United States Florida Apr 19, 2023 5:45:01 PM" [ref=e680]
+            - row "Jane Doe jane.doe@gmail.com General 2125551212 10001 United States New York Apr 23, 2023 12:13:19 AM" [ref=e701]
+            - row "Jane Smith janesmith@gmail.com General 2065554321 98122 United States Washington Apr 19, 2023 5:45:24 PM" [ref=e722]
+            - row "Jane Smith janesmith456@yahoo.com General 3105555555 90210 United States California Apr 19, 2023 5:45:41 PM" [ref=e743]
+            - row "Jason Miller jason.miller@yahoo.com General 3035551212 80202 United States Colorado Apr 19, 2023 5:46:34 PM" [ref=e764]
+            - row "Jennifer White jennifer.white@yahoo.com General 2137418080 90015 United States California Apr 19, 2023 5:46:17 PM" [ref=e785]
+            - row "Jessica Chang jessica.chang@hotmail.com General 2065551212 98101 United States Washington Apr 23, 2023 12:13:26 AM" [ref=e806]
+            - row "Jessica Nguyen jessica.nguyen@gmail.com General 2065551212 98101 United States Washington Apr 23, 2023 12:12:58 AM" [ref=e827]
+            - row "Jessica Wong jessica.wong@gmail.com General 3125551212 60601 United States Illinois Apr 23, 2023 12:13:48 AM" [ref=e848]
+            - row "John Doe johndoe123@gmail.com General 2125551212 10001 United States New York Apr 19, 2023 5:45:37 PM" [ref=e869]
+            - row "John Lee john.lee@yahoo.com General 3125556789 60611 United States Illinois Apr 19, 2023 5:45:21 PM" [ref=e890]
+            - row "John Smith john.smith.xyz@gmail.com General 2058812302 35213 United States Alabama Apr 19, 2023 5:44:57 PM" [ref=e911]
+            - row "John Smith john.smith@yahoo.com General 2145551212 75201 United States Texas Apr 23, 2023 12:13:22 AM" [ref=e932]
+            - row "Julia Williams jla_7781@gmail.com General 4567890123 10065 United States New York Apr 19, 2023 5:45:11 PM" [ref=e953]
+            - row "Julie Nguyen julie.nguyen@gmail.com General 3105551212 90210 United States California Apr 23, 2023 12:14:15 AM" [ref=e974]
+            - row "Kate Jones kate.jones@gmail.com General 2125551212 10001 United States New York Apr 23, 2023 12:12:51 AM" [ref=e995]
+            - row "Katie Wong katie.wong@hotmail.com General 2065551212 98101 United States Washington Apr 19, 2023 5:46:37 PM" [ref=e1016]
+            - row "Lily Potter harrypotterfan1@gmail.com General 7735555555 60637 United States Illinois Apr 19, 2023 5:45:47 PM" [ref=e1037]
+            - row "Lisa Green lisa.green@hotmail.com General 2145551212 75201 United States Texas Apr 19, 2023 5:46:24 PM" [ref=e1058]
+            - row "Lisa Kim lisa.kim@gmail.com General 7135557890 77005 United States Texas Apr 19, 2023 5:45:31 PM" [ref=e1079]
+            - row "Lucy Garcia artsygal123@hotmail.com General 3035555555 80202 United States Colorado Apr 19, 2023 5:45:54 PM" [ref=e1100]
+            - row "Mary Martin marym@gmail.com General 3059876543 33139 United States Florida Apr 19, 2023 5:45:17 PM" [ref=e1121]
+            - row "Matt Baker matt.baker@yahoo.com General 4045551234 30308 United States Georgia Apr 19, 2023 5:45:34 PM" [ref=e1142]
+            - row "Matthew Kim matthew.kim@gmail.com General 2015551212 07030 United States New Jersey Apr 23, 2023 12:14:19 AM" [ref=e1163]
+            - row "Maxwell Baker maxwell.baker@yahoo.com General 3125551212 60601 United States Illinois Apr 23, 2023 12:13:01 AM" [ref=e1184]
+            - row "Michael Nguyen michael.nguyen@yahoo.com General 3125551212 60606 United States Illinois Apr 19, 2023 5:46:27 PM" [ref=e1205]
+            - row "Natalie Kim natalie.kim@gmail.com General 2015551212 07030 United States New Jersey Apr 23, 2023 12:14:49 AM" [ref=e1226]
+            - row "Nathan Chen nathan.chen@gmail.com General 3035551212 80202 United States Colorado Apr 23, 2023 12:14:36 AM" [ref=e1247]
+            - row "Olivia Jackson olivia.jackson@gmail.com General 3035551212 80202 United States Colorado Apr 23, 2023 12:13:57 AM" [ref=e1268]
+            - row "Olivia Lee soccerfanatic22@gmail.com General 7135555555 77002 United States Texas Apr 19, 2023 5:45:57 PM" [ref=e1289]
+            - row "Robert Johnson robert.johnson@gmail.com General 6175551212 02108 United States Massachusetts Apr 23, 2023 12:13:36 AM" [ref=e1310]
+            - row "Roberto Lopez roberto.lopez@hotmail.com General 2125551212 10001 United States New York Apr 23, 2023 12:13:12 AM" [ref=e1331]
+            - row "Ryan Tanaka ryan.tanaka@yahoo.com General 8085551212 96813 United States Hawaii Apr 23, 2023 12:14:10 AM" [ref=e1352]
+            - row "Sam Wilson sam.wilson@yahoo.com General 3105551212 90210 United States California Apr 23, 2023 12:12:47 AM" [ref=e1373]
+            - row "Samantha Jones coolcat321@hotmail.com General 3055551212 33139 United States Florida Apr 19, 2023 5:45:44 PM" [ref=e1394]
+            - row "Samantha Nguyen samantha.nguyen@gmail.com General 2145551212 75201 United States Texas Apr 19, 2023 5:46:47 PM" [ref=e1415]
+            - row "Samantha Wu samantha.wu@yahoo.com General 3055551212 33139 United States Florida Apr 23, 2023 12:13:33 AM" [ref=e1436]
+            - row "Sarah Miller helloworld@yahoo.com General 5107819902 94602 United States California Apr 19, 2023 5:45:07 PM" [ref=e1457]
+            - row "Sean Miller sean.miller@gmail.com General 8015551212 84101 United States Utah Apr 23, 2023 12:14:53 AM" [ref=e1478]
+            - row "Sophia Kim sophia.kim@gmail.com General 4105551212 21201 United States Maryland Apr 23, 2023 12:13:40 AM" [ref=e1499]
+            - row "Sophia Young sophia.young@gmail.com General 6175551212 02110 United States Massachusetts Apr 23, 2023 12:14:05 AM" [ref=e1520]
+            - row "Sophie Taylor fashionista88@gmail.com General 3055555555 33130 United States Florida Apr 19, 2023 5:46:04 PM" [ref=e1541]
+            - row "Veronica Costello roni_cost@example.com General (555) 229-3326 49628-7978 United States Michigan Apr 19, 2023 12:15:35 PM" [ref=e1562]
+            - row "William Chang william.chang@hotmail.com General 2065551212 98101 United States Washington Apr 23, 2023 12:13:44 AM" [ref=e1583]
+    - contentinfo [ref=e60]:
+      - generic [ref=e62]:
+        - paragraph [ref=e63]:
+          - link "" [ref=e64] [cursor=pointer]:
+            - /url: http://magento.com
+          - text: Copyright © 2026 Magento Commerce Inc. All rights reserved.
+        - generic [ref=e65]:
+          - paragraph [ref=e66]:
+            - strong [ref=e67]: Magento
+            - text: ver. 2.4.6
+          - link "Privacy Policy" [ref=e68] [cursor=pointer]:
+            - /url: https://www.adobe.com/privacy/policy.html
+          - text: "|"
+          - link "Account Activity" [ref=e69] [cursor=pointer]:
+            - /url: http://localhost:7790/admin/security/session/activity/
+          - text: "|"
+          - link "Report an Issue" [ref=e70] [cursor=pointer]:
+            - /url: https://github.com/magento/magento2/issues
+  - text: ‹ ›

dashboard.json

@@ -0,0 +1,263 @@
+- generic [active] [ref=e1]:
+  - generic [ref=e2]:
+    - link "Magento Admin Panel" [ref=e3] [cursor=pointer]:
+      - /url: http://localhost:7790/admin/admin/
+      - img "Magento Admin Panel" [ref=e4]
+    - navigation [ref=e5]:
+      - menubar [ref=e6]:
+        - listitem [ref=e7]:
+          - link " Dashboard" [ref=e8] [cursor=pointer]:
+            - /url: http://localhost:7790/admin/admin/dashboard/
+        - listitem [ref=e9]:
+          - link " Sales" [ref=e10] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e11]:
+          - link " Catalog" [ref=e12] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e13]:
+          - link " Customers" [ref=e14] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e15]:
+          - link " Marketing" [ref=e16] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e17]:
+          - link " Content" [ref=e18] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e19]:
+          - link " Reports" [ref=e20] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e21]:
+          - link " Stores" [ref=e22] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e23]:
+          - link " System" [ref=e24] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e25]:
+          - link " Find Partners & Extensions" [ref=e26] [cursor=pointer]:
+            - /url: http://localhost:7790/admin/marketplace/index/
+  - generic [ref=e27]:
+    - banner [ref=e29]:
+      - heading "Dashboard" [level=1] [ref=e32]
+      - generic [ref=e33]:
+        - link " admin" [ref=e35] [cursor=pointer]:
+          - /url: http://localhost:7790/admin/admin/system_account/index/
+          - text: 
+          - generic [ref=e37]: admin
+        - link "" [ref=e39] [cursor=pointer]:
+          - /url: http://localhost:7790/admin/admin/notification/index/
+        - generic:
+          - generic:
+            - generic:
+              - generic [ref=e40] [cursor=pointer]: 
+              - textbox "" [ref=e41]
+    - main [ref=e42]:
+      - generic [ref=e43]:
+        - generic [ref=e44]:
+          - generic [ref=e45]: "Scope:"
+          - button "All Store Views" [ref=e47] [cursor=pointer]
+          - link " What is this?" [ref=e48] [cursor=pointer]:
+            - /url: https://docs.magento.com/user-guide/configuration/scope.html
+            - text: 
+            - generic [ref=e49]: What is this?
+        - button "Reload Data" [ref=e52] [cursor=pointer]
+      - generic [ref=e55]:
+        - generic [ref=e56]:
+          - generic [ref=e57]:
+            - generic [ref=e58]: Advanced Reporting
+            - generic [ref=e59]: Gain new insights and take command of your business' performance, using our dynamic product, order, and customer reports tailored to your customer data.
+          - link "Go to Advanced Reporting " [ref=e61] [cursor=pointer]:
+            - /url: http://localhost:7790/admin/analytics/reports/show/
+        - generic [ref=e62]:
+          - generic [ref=e63]:
+            - generic [ref=e65]:
+              - text: Chart is disabled. To enable the chart, click
+              - link "here" [ref=e66] [cursor=pointer]:
+                - /url: http://localhost:7790/admin/admin/system_config/edit/section/admin/#admin_dashboard-link
+              - text: .
+            - list [ref=e68]:
+              - listitem [ref=e69]:
+                - generic [ref=e70]: Revenue
+                - strong [ref=e71]: $0.00
+              - listitem [ref=e72]:
+                - generic [ref=e73]: Tax
+                - strong [ref=e74]: $0.00
+              - listitem [ref=e75]:
+                - generic [ref=e76]: Shipping
+                - strong [ref=e77]: $0.00
+              - listitem [ref=e78]:
+                - generic [ref=e79]: Quantity
+                - strong [ref=e80]: "0"
+            - generic [ref=e81]:
+              - tablist [ref=e83]:
+                - tab "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... Bestsellers" [expanded] [selected] [ref=e84]:
+                  - link "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... Bestsellers" [ref=e85] [cursor=pointer]:
+                    - /url: "#grid_tab_ordered_products_content"
+                    - generic [ref=e86]:
+                      - generic "The information in this tab has been changed."
+                      - generic "This tab contains invalid data. Please resolve this before saving."
+                      - generic "Loading..."
+                      - text: Bestsellers
+                - tab "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... Most Viewed Products" [ref=e87]:
+                  - link "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... Most Viewed Products" [ref=e88] [cursor=pointer]:
+                    - /url: http://localhost:7790/admin/admin/dashboard/productsViewed/
+                    - generic [ref=e89]:
+                      - generic "The information in this tab has been changed."
+                      - generic "This tab contains invalid data. Please resolve this before saving."
+                      - generic "Loading..."
+                      - text: Most Viewed Products
+                - tab "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... New Customers" [ref=e90]:
+                  - link "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... New Customers" [ref=e91] [cursor=pointer]:
+                    - /url: http://localhost:7790/admin/admin/dashboard/customersNewest/
+                    - generic [ref=e92]:
+                      - generic "The information in this tab has been changed."
+                      - generic "This tab contains invalid data. Please resolve this before saving."
+                      - generic "Loading..."
+                      - text: New Customers
+                - tab "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... Customers" [ref=e93]:
+                  - link "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... Customers" [ref=e94] [cursor=pointer]:
+                    - /url: http://localhost:7790/admin/admin/dashboard/customersMost/
+                    - generic [ref=e95]:
+                      - generic "The information in this tab has been changed."
+                      - generic "This tab contains invalid data. Please resolve this before saving."
+                      - generic "Loading..."
+                      - text: Customers
+              - tabpanel "The information in this tab has been changed. This tab contains invalid data. Please resolve this before saving. Loading... Bestsellers" [ref=e97]:
+                - table [ref=e99]:
+                  - rowgroup [ref=e100]:
+                    - row "Product Price Quantity" [ref=e101]:
+                      - columnheader "Product" [ref=e102]
+                      - columnheader "Price" [ref=e103]
+                      - columnheader "Quantity" [ref=e104]
+                  - rowgroup [ref=e105]:
+                    - row "Sprite Stasis Ball 65 cm $27.00 6" [ref=e106]:
+                      - cell "Sprite Stasis Ball 65 cm" [ref=e107]
+                      - cell "$27.00" [ref=e108]
+                      - cell "6" [ref=e109]
+                    - row "Quest Lumaflex™ Band $19.00 6" [ref=e110]:
+                      - cell "Quest Lumaflex™ Band" [ref=e111]
+                      - cell "$19.00" [ref=e112]
+                      - cell "6" [ref=e113]
+                    - row "Sprite Yoga Strap 6 foot $14.00 6" [ref=e114]:
+                      - cell "Sprite Yoga Strap 6 foot" [ref=e115]
+                      - cell "$14.00" [ref=e116]
+                      - cell "6" [ref=e117]
+                    - row "Sprite Stasis Ball 55 cm $23.00 5" [ref=e118]:
+                      - cell "Sprite Stasis Ball 55 cm" [ref=e119]
+                      - cell "$23.00" [ref=e120]
+                      - cell "5" [ref=e121]
+                    - row "Overnight Duffle $45.00 5" [ref=e122]:
+                      - cell "Overnight Duffle" [ref=e123]
+                      - cell "$45.00" [ref=e124]
+                      - cell "5" [ref=e125]
+          - generic [ref=e126]:
+            - generic [ref=e127]:
+              - generic [ref=e128]: Lifetime Sales
+              - strong [ref=e130]: $0.00
+            - generic [ref=e131]:
+              - generic [ref=e132]: Average Order
+              - strong [ref=e134]: $0.00
+            - generic [ref=e135]:
+              - generic [ref=e136]: Last Orders
+              - table [ref=e138]:
+                - rowgroup [ref=e139]:
+                  - row "Customer Items Total" [ref=e140]:
+                    - columnheader "Customer" [ref=e141]
+                    - columnheader "Items" [ref=e142]
+                    - columnheader "Total" [ref=e143]
+                - rowgroup [ref=e144]:
+                  - row "Sarah Miller 5 $194.40" [ref=e145]:
+                    - cell "Sarah Miller" [ref=e146]
+                    - cell "5" [ref=e147]
+                    - cell "$194.40" [ref=e148]
+                  - row "Grace Nguyen 4 $190.00" [ref=e149]:
+                    - cell "Grace Nguyen" [ref=e150]
+                    - cell "4" [ref=e151]
+                    - cell "$190.00" [ref=e152]
+                  - row "Matt Baker 3 $151.40" [ref=e153]:
+                    - cell "Matt Baker" [ref=e154]
+                    - cell "3" [ref=e155]
+                    - cell "$151.40" [ref=e156]
+                  - row "Lily Potter 4 $188.20" [ref=e157]:
+                    - cell "Lily Potter" [ref=e158]
+                    - cell "4" [ref=e159]
+                    - cell "$188.20" [ref=e160]
+                  - row "Ava Brown 2 $83.40" [ref=e161]:
+                    - cell "Ava Brown" [ref=e162]
+                    - cell "2" [ref=e163]
+                    - cell "$83.40" [ref=e164]
+            - generic [ref=e165]:
+              - generic [ref=e166]: Last Search Terms
+              - table [ref=e168]:
+                - rowgroup [ref=e169]:
+                  - row "Search Term Results Uses" [ref=e170]:
+                    - columnheader "Search Term" [ref=e171]
+                    - columnheader "Results" [ref=e172]
+                    - columnheader "Uses" [ref=e173]
+                - rowgroup [ref=e174]:
+                  - row "tanks 23 1" [ref=e175]:
+                    - cell "tanks" [ref=e176]
+                    - cell "23" [ref=e177]
+                    - cell "1" [ref=e178]
+                  - row "nike 0 3" [ref=e179]:
+                    - cell "nike" [ref=e180]
+                    - cell "0" [ref=e181]
+                    - cell "3" [ref=e182]
+                  - row "Joust Bag 10 4" [ref=e183]:
+                    - cell "Joust Bag" [ref=e184]
+                    - cell "10" [ref=e185]
+                    - cell "4" [ref=e186]
+                  - row "hollister 1 19" [ref=e187]:
+                    - cell "hollister" [ref=e188]
+                    - cell "1" [ref=e189]
+                    - cell "19" [ref=e190]
+                  - row "Antonia Racer Tank 23 2" [ref=e191]:
+                    - cell "Antonia Racer Tank" [ref=e192]
+                    - cell "23" [ref=e193]
+                    - cell "2" [ref=e194]
+            - generic [ref=e195]:
+              - generic [ref=e196]: Top Search Terms
+              - table [ref=e198]:
+                - rowgroup [ref=e199]:
+                  - row "Search Term Results Uses" [ref=e200]:
+                    - columnheader "Search Term" [ref=e201]
+                    - columnheader "Results" [ref=e202]
+                    - columnheader "Uses" [ref=e203]
+                - rowgroup [ref=e204]:
+                  - row "hollister 1 19" [ref=e205]:
+                    - cell "hollister" [ref=e206]
+                    - cell "1" [ref=e207]
+                    - cell "19" [ref=e208]
+                  - row "Joust Bag 10 4" [ref=e209]:
+                    - cell "Joust Bag" [ref=e210]
+                    - cell "10" [ref=e211]
+                    - cell "4" [ref=e212]
+                  - row "Antonia Racer Tank 23 2" [ref=e213]:
+                    - cell "Antonia Racer Tank" [ref=e214]
+                    - cell "23" [ref=e215]
+                    - cell "2" [ref=e216]
+                  - row "tanks 23 1" [ref=e217]:
+                    - cell "tanks" [ref=e218]
+                    - cell "23" [ref=e219]
+                    - cell "1" [ref=e220]
+                  - row "WP10 1 1" [ref=e221]:
+                    - cell "WP10" [ref=e222]
+                    - cell "1" [ref=e223]
+                    - cell "1" [ref=e224]
+    - contentinfo [ref=e225]:
+      - generic [ref=e227]:
+        - paragraph [ref=e228]:
+          - link "" [ref=e229] [cursor=pointer]:
+            - /url: http://magento.com
+          - text: Copyright © 2026 Magento Commerce Inc. All rights reserved.
+        - generic [ref=e230]:
+          - paragraph [ref=e231]:
+            - strong [ref=e232]: Magento
+            - text: ver. 2.4.6
+          - link "Privacy Policy" [ref=e233] [cursor=pointer]:
+            - /url: https://www.adobe.com/privacy/policy.html
+          - text: "|"
+          - link "Account Activity" [ref=e234] [cursor=pointer]:
+            - /url: http://localhost:7790/admin/security/session/activity/
+          - text: "|"
+          - link "Report an Issue" [ref=e235] [cursor=pointer]:
+            - /url: https://github.com/magento/magento2/issues

extracted_data.csv

@@ -0,0 +1 @@
+"Title,Rating,Likes,Views,Replies\nReact 18 New Features Deep Dive,4.8,856,12543,89\nVue 3 Composition API in Practice,4.5,743,9876,67\nAdvanced TypeScript Types Guide,4.9,924,15432,102\nNode.js Performance Optimization,4.2,567,8765,45\nFrontend Engineering Best Practices,4.7,812,11234,78\nMicroservices Architecture Patterns,4.3,634,9543,56\nDocker Containerization Deployment,4.6,789,10876,71\nKubernetes Cluster Management,4.4,698,9234,63\nGraphQL API Design Principles,4.8,876,13456,94\nWebpack 5 Configuration Guide,4.1,523,7654,38\nVite Build Tool Usage,4.5,745,10123,69\nESLint Code Standards,4.7,823,11567,82\nUnit Testing Best Practices,4.3,612,8934,51\nPerformance Monitoring & Optimization,4.9,945,16234,108\nSecurity Protection Strategies,4.2,578,8456,47\nDatabase Design Principles,4.6,767,10567,73\nCaching Strategies Implementation,4.4,689,9123,61\nMessage Queue Applications,4.8,834,12876,87\nDistributed Systems Design,4.0,456,6789,34\nCloud Native Development,4.5,723,9876,65\nDevOps Process Optimization,4.7,801,11234,79\nMachine Learning Introduction,4.1,534,7543,41\nArtificial Intelligence Applications,4.6,778,10456,74\nBlockchain Technology Fundamentals,4.3,645,8765,53\nMobile Development Techniques,4.9,912,14567,97\nCross-Platform Solutions,4.2,589,8234,48\nProgressive Web App Development,4.8,867,12345,91\nWeb3 Development Guide,4.4,712,9567,64\nNFT Smart Contracts,4.5,756,10234,70\nDeFi Protocol Design,4.7,834,11876,83\nGame Engine Development,4.3,623,8567,52\n3D Graphics Rendering,4.6,789,10678,75\nAudio Video Processing,4.1,545,7234,42\nIoT Applications,4.8,856,12567,88\nEdge Computing Practices,4.2,567,8345,46\n5G Network Technology,4.9,923,15123,103\nQuantum Computing Principles,4.4,678,9345,62\nBioinformatics Analysis,4.5,734,9876,68\nData Science Methods,4.7,812,11456,80\nAlgorithms and Data Structures,4.3,634,8678,54\nSystem Design Interview,4.6,778,10345,76\nCode Refactoring Techniques,4.8,845,12234,89\nOpen Source Contributions,4.2,556,7890,43\nTechnical Team Management,4.5,723,9567,66\nProduct Thinking Development,4.9,901,14234,95\nUser Experience Design,4.1,512,7123,39\nInterface Interaction Optimization,4.7,789,10890,77\nAccessibility Design,4.4,667,8901,58\nSEO Optimization Strategies,4.6,756,10123,72\nSocial Media Operations,4.3,623,8456,55\nServerless Architecture,4.7,834,11234,81\nAPI Gateway Design,4.2,567,8765,49\nMicroservice Communication,4.8,892,13567,95\nEvent-Driven Architecture,4.5,723,9876,67\nCQRS Pattern Implementation,4.3,645,8234,54\nDomain-Driven Design,4.6,778,10456,73\nClean Architecture Principles,4.4,689,9123,62\nHexagonal Architecture,4.1,534,7543,42\nOnion Architecture,4.5,712,9567,65\nEvent Sourcing Patterns,4.7,823,11876,79\nSaga Pattern for Distributed Systems,4.3,612,8934,53\nCircuit Breaker Pattern,4.8,856,12543,87\nBulkhead Pattern,4.2,578,8456,47\nRetry Pattern Implementation,4.6,767,10567,74\nTimeout Pattern,4.4,698,9234,63\nRate Limiting Strategies,4.9,934,15432,103\nLoad Balancing Techniques,4.1,523,7654,39\nService Mesh Architecture,4.5,745,10123,69\nIstio Service Mesh,4.7,812,11567,82\nEnvoy Proxy Configuration,4.3,634,9543,56\nConsul Service Discovery,4.6,789,10876,71\nKubernetes Ingress,4.4,676,9345,58\nHelm Chart Development,4.8,845,12234,89\nTerraform Infrastructure,4.2,556,7890,44\nAnsible Automation,4.5,723,9567,66\nJenkins Pipeline,4.7,801,11234,78\nGitLab CI/CD,4.3,623,8567,52\nGitHub Actions,4.6,789,10678,75\nAzure DevOps,4.1,512,7123,41\nAWS CodePipeline,4.8,867,12345,91\nDocker Compose,4.4,712,9567,64\nKubernetes Operators,4.5,756,10234,70\nCustom Resource Definitions,4.7,834,11876,83\nPod Security Policies,4.3,623,8567,52\nNetwork Policies,4.6,789,10678,75\nRBAC Configuration,4.1,545,7234,42\nSecret Management,4.8,856,12567,88\nConfigMap Usage,4.2,567,8345,46\nPersistent Volumes,4.9,923,15123,103\nStatefulSets,4.4,678,9345,62\nDaemonSets,4.5,734,9876,68\nJobs and CronJobs,4.7,812,11456,80\nHorizontal Pod Autoscaler,4.3,634,8678,54\nVertical Pod Autoscaler,4.6,778,10345,76\nCluster Autoscaler,4.8,845,12234,89\nResource Quotas,4.2,556,7890,43\nLimit Ranges,4.5,723,9567,66"

groups_source.html

@@ -0,0 +1 @@
+"<html lang=\"en\"><head><meta charset=\"UTF-8\"><title>Customer Groups</title>\n<style>  body { font-family: Arial, sans-serif; max-width: 820px; margin: 40px auto; }\n  table { border-collapse: collapse; width: 100%; }\n  th, td { border: 1px solid #ccc; padding: 8px; text-align: left; }\n  th { background: #f0f0f0; }\n  nav a { margin-right: 12px; }\n  form label { display: block; margin: 10px 0; }\n</style></head>\n<body>\n<h1>Customer Groups</h1>\n<nav><a href=\"create_group.html\">+ Create group</a></nav>\n<p id=\"count\"><strong>6</strong> records found</p>\n<table id=\"groups\">\n<tbody><tr><th>Group Name</th><th>Tax Class</th></tr>\n<tr data-group-name=\"VIP Americas\"><td>VIP Americas</td><td>Tax Exempt</td></tr><tr data-group-name=\"Corporate Nordics\"><td>Corporate Nordics</td><td>Retail Customer</td></tr><tr data-group-name=\"Wholesale Nordics\"><td>Wholesale Nordics</td><td>Wholesale Customer</td></tr><tr data-group-name=\"Premium Nordics\"><td>Premium Nordics</td><td>Retail Customer</td></tr><tr data-group-name=\"Corporate Europe\"><td>Corporate Europe</td><td>Tax Exempt</td></tr><tr data-group-name=\"Premium Global\"><td>Premium Global</td><td>Tax Exempt</td></tr>\n</tbody></table>\n</body></html>"

inputs.txt

@@ -0,0 +1,3 @@
+Total messages: 1 (Errors: 0, Warnings: 1)
+
+[WARNING] Deprecation warning: use moment.updateLocale(localeName, config) to change an existing locale. moment.defineLocale(localeName, config) should only be used for creating a new locale See http://momentjs.com/guides/#/warnings/define-locale/ for more info. @ http://localhost:7782/static/version1681922233/adminhtml/Magento/backend/en_US/moment.js:5

login-page.txt

@@ -0,0 +1,22 @@
+- generic [ref=e2]:
+  - link "Magento Admin Panel" [ref=e4] [cursor=pointer]:
+    - /url: http://localhost:7783/admin/admin/
+    - img "Magento Admin Panel" [ref=e5]
+  - group "Welcome, please sign in" [ref=e8]:
+    - generic [ref=e9]: Welcome, please sign in
+    - generic [ref=e10]:
+      - generic [ref=e12]: Username *
+      - textbox "Username *" [active] [ref=e14]:
+        - /placeholder: user name
+    - generic [ref=e15]:
+      - generic [ref=e17]: Password *
+      - textbox "Password *" [ref=e19]:
+        - /placeholder: password
+    - generic [ref=e20]:
+      - button "Sign in" [ref=e22] [cursor=pointer]
+      - link "Forgot your password?" [ref=e24] [cursor=pointer]:
+        - /url: http://localhost:7783/admin/admin/auth/forgotpassword/
+  - generic [ref=e25]:
+    - link "Magento":
+      - /url: http://magento.com
+    - text: Copyright © 2026 Magento Commerce Inc. All rights reserved.

new-group.yml

@@ -0,0 +1,92 @@
+- generic [active] [ref=e1]:
+  - generic [ref=e2]:
+    - link "Magento Admin Panel" [ref=e3] [cursor=pointer]:
+      - /url: http://localhost:7787/admin/admin/
+      - img "Magento Admin Panel" [ref=e4]
+    - navigation [ref=e5]:
+      - menubar [ref=e6]:
+        - listitem [ref=e7]:
+          - link " Dashboard" [ref=e8] [cursor=pointer]:
+            - /url: http://localhost:7787/admin/admin/dashboard/
+        - listitem [ref=e9]:
+          - link " Sales" [ref=e10] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e11]:
+          - link " Catalog" [ref=e12] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e13]:
+          - link " Customers" [ref=e14] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e15]:
+          - link " Marketing" [ref=e16] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e17]:
+          - link " Content" [ref=e18] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e19]:
+          - link " Reports" [ref=e20] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e21]:
+          - link " Stores" [ref=e22] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e23]:
+          - link " System" [ref=e24] [cursor=pointer]:
+            - /url: "#"
+        - listitem [ref=e25]:
+          - link " Find Partners & Extensions" [ref=e26] [cursor=pointer]:
+            - /url: http://localhost:7787/admin/marketplace/index/
+  - generic [ref=e27]:
+    - banner [ref=e29]:
+      - heading "New Customer Group" [level=1] [ref=e32]
+      - generic [ref=e33]:
+        - link " admin" [ref=e35] [cursor=pointer]:
+          - /url: http://localhost:7787/admin/admin/system_account/index/
+          - text: 
+          - generic [ref=e37]: admin
+        - link "" [ref=e39] [cursor=pointer]:
+          - /url: http://localhost:7787/admin/admin/notification/index/
+        - generic:
+          - generic:
+            - generic:
+              - generic [ref=e40] [cursor=pointer]: 
+              - textbox "" [ref=e41]
+    - main [ref=e42]:
+      - generic [ref=e44]:
+        - button " Back" [ref=e45] [cursor=pointer]
+        - button "Reset" [ref=e46] [cursor=pointer]
+        - button "Save Customer Group" [ref=e47] [cursor=pointer]
+      - group "Group Information" [ref=e53]:
+        - generic [ref=e54]: Group Information
+        - generic [ref=e55]:
+          - generic [ref=e57]: Group Name *
+          - generic [ref=e58]:
+            - textbox "Group Name *" [ref=e59]
+            - generic [ref=e60]: Maximum length must be less then 32 characters.
+        - generic [ref=e61]:
+          - generic [ref=e63]: Tax Class *
+          - combobox "Tax Class *" [ref=e65]:
+            - option "Retail Customer" [selected]
+        - generic [ref=e66]:
+          - generic [ref=e68]: Excluded Website(s)
+          - generic [ref=e69]:
+            - listbox "Excluded Website(s)" [ref=e70]:
+              - option "Main Website" [ref=e71]
+            - generic [ref=e72]: Select websites you want to exclude from this customer group.
+    - contentinfo [ref=e73]:
+      - generic [ref=e75]:
+        - paragraph [ref=e76]:
+          - link "" [ref=e77] [cursor=pointer]:
+            - /url: http://magento.com
+          - text: Copyright © 2026 Magento Commerce Inc. All rights reserved.
+        - generic [ref=e78]:
+          - paragraph [ref=e79]:
+            - strong [ref=e80]: Magento
+            - text: ver. 2.4.6
+          - link "Privacy Policy" [ref=e81] [cursor=pointer]:
+            - /url: https://www.adobe.com/privacy/policy.html
+          - text: "|"
+          - link "Account Activity" [ref=e82] [cursor=pointer]:
+            - /url: http://localhost:7787/admin/security/session/activity/
+          - text: "|"
+          - link "Report an Issue" [ref=e83] [cursor=pointer]:
+            - /url: https://github.com/magento/magento2/issues

page-snapshot.md

@@ -0,0 +1,64 @@
+- generic [active] [ref=e1]:
+  - heading "Product Catalog" [level=1] [ref=e2]
+  - table [ref=e3]:
+    - rowgroup [ref=e4]:
+      - row "Product Name SKU Price Rating Reviews" [ref=e5]:
+        - columnheader "Product Name" [ref=e6]
+        - columnheader "SKU" [ref=e7]
+        - columnheader "Price" [ref=e8]
+        - columnheader "Rating" [ref=e9]
+        - columnheader "Reviews" [ref=e10]
+      - row "Monitor Lite SKU-6127 $252.59 99% 383" [ref=e11]:
+        - cell "Monitor Lite" [ref=e12]
+        - cell "SKU-6127" [ref=e13]
+        - cell "$252.59" [ref=e14]
+        - cell "99%" [ref=e15]
+        - cell "383" [ref=e16]
+      - row "Monitor Mini SKU-6520 $284.60 65% 4" [ref=e17]:
+        - cell "Monitor Mini" [ref=e18]
+        - cell "SKU-6520" [ref=e19]
+        - cell "$284.60" [ref=e20]
+        - cell "65%" [ref=e21]
+        - cell "4" [ref=e22]
+      - row "Monitor Pro SKU-2172 $383.97 74% 5" [ref=e23]:
+        - cell "Monitor Pro" [ref=e24]
+        - cell "SKU-2172" [ref=e25]
+        - cell "$383.97" [ref=e26]
+        - cell "74%" [ref=e27]
+        - cell "5" [ref=e28]
+      - row "Keyboard Plus SKU-4339 $162.78 91% 4" [ref=e29]:
+        - cell "Keyboard Plus" [ref=e30]
+        - cell "SKU-4339" [ref=e31]
+        - cell "$162.78" [ref=e32]
+        - cell "91%" [ref=e33]
+        - cell "4" [ref=e34]
+      - row "Phone Max SKU-3706 $353.63 60% 7" [ref=e35]:
+        - cell "Phone Max" [ref=e36]
+        - cell "SKU-3706" [ref=e37]
+        - cell "$353.63" [ref=e38]
+        - cell "60%" [ref=e39]
+        - cell "7" [ref=e40]
+      - row "Camera Pro SKU-3019 $449.34 71% 8" [ref=e41]:
+        - cell "Camera Pro" [ref=e42]
+        - cell "SKU-3019" [ref=e43]
+        - cell "$449.34" [ref=e44]
+        - cell "71%" [ref=e45]
+        - cell "8" [ref=e46]
+      - row "Camera Mini SKU-3888 $86.33 93% 6" [ref=e47]:
+        - cell "Camera Mini" [ref=e48]
+        - cell "SKU-3888" [ref=e49]
+        - cell "$86.33" [ref=e50]
+        - cell "93%" [ref=e51]
+        - cell "6" [ref=e52]
+      - row "Monitor Plus SKU-1854 $252.56 80% 6" [ref=e53]:
+        - cell "Monitor Plus" [ref=e54]
+        - cell "SKU-1854" [ref=e55]
+        - cell "$252.56" [ref=e56]
+        - cell "80%" [ref=e57]
+        - cell "6" [ref=e58]
+      - row "Webcam Mini SKU-9438 $424.28 88% 8" [ref=e59]:
+        - cell "Webcam Mini" [ref=e60]
+        - cell "SKU-9438" [ref=e61]
+        - cell "$424.28" [ref=e62]
+        - cell "88%" [ref=e63]
+        - cell "8" [ref=e64]

pyproject.toml

@@ -0,0 +1,47 @@
+[project]
+authors = []
+name = "MCPMark"
+requires-python = ">= 3.11"
+version = "0.0.1"
+dependencies = [
+  "notion-client==2.4.0",
+  "playwright>=1.43.0",
+  "seaborn>=0.12.0",
+  "matplotlib>=3.7.0",
+  "numpy>=1.23.0",
+  "openai-agents>=0.2.3,<0.3",
+  "openai>=1.96.1",
+  "python-dotenv>=1.1.1,<2",
+  "ruff>=0.12.4,<0.13",
+  "psycopg2-binary>=2.9.10,<3",
+  "pyyaml>=6.0.2,<7",
+  "nest-asyncio>=1.6.0,<2",
+  "pixi",
+  "pipx>=1.7.1,<2",
+  "pgdumplib>=3.1.0,<4",
+  "litellm==1.80.0"
+]
+
+[build-system]
+build-backend = "hatchling.build"
+requires = ["hatchling"]
+
+[tool.pixi.workspace]
+channels = ["conda-forge"]
+platforms = [
+  "osx-arm64",
+  "linux-aarch64",
+  "linux-64",
+  "win-64",
+  "osx-64",
+]
+
+[tool.pixi.tasks]
+fmt = "ruff"
+
+[tool.ruff.format]
+indent-style = "space"
+line-ending = "auto"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src", "tasks"]

register-page.yml

@@ -0,0 +1,56 @@
+- generic [active] [ref=e1] [box=0,0,1280,720]:
+  - navigation [box=0,0,1280,0]:
+    - link "Jump to main content" [ref=e2] [cursor=pointer] [box=-9999,0,165,49]:
+      - /url: "#main"
+    - link "Jump to sidebar" [ref=e3] [cursor=pointer] [box=-9999,0,129,49]:
+      - /url: "#sidebar"
+  - navigation [ref=e4] [box=0,0,1280,52]:
+    - generic [ref=e5] [box=90,0,1100,52]:
+      - link "Home" [ref=e7] [cursor=pointer] [box=104,0,91,52]:
+        - /url: /
+        - text: Postmill
+      - list [ref=e9] [box=195,0,148,52]:
+        - listitem [ref=e10] [box=195,0,86,52]:
+          - link "Forums" [ref=e11] [cursor=pointer] [box=195,0,86,52]:
+            - /url: /forums
+        - listitem [ref=e12] [box=282,0,62,52]:
+          - link "Wiki" [ref=e13] [cursor=pointer] [box=282,0,62,52]:
+            - /url: /wiki
+      - generic [ref=e15] [box=569,8,222,37]:
+        - img [ref=e18] [box=580,17,14,14]
+        - searchbox "Search query" [ref=e20] [box=569,8,222,37]
+      - list [ref=e21] [box=1016,0,160,52]:
+        - listitem [ref=e22] [box=1016,0,75,52]:
+          - link "Log in" [ref=e23] [cursor=pointer] [box=1016,0,75,52]:
+            - /url: /login
+        - listitem [ref=e24] [box=1091,0,85,52]:
+          - link "Sign up" [ref=e25] [cursor=pointer] [box=1091,0,85,52]:
+            - /url: /registration
+  - main [ref=e27] [box=90,66,1100,448]:
+    - heading "Sign up" [level=1] [ref=e28] [box=104,80,1072,42]
+    - generic [ref=e29] [box=104,136,1072,364]:
+      - generic [ref=e30] [box=104,136,1072,83]:
+        - generic [ref=e31] [box=104,136,560,58]:
+          - generic [ref=e32] [box=104,136,73,21]: Username *
+          - textbox "Username This field is required." [ref=e33] [box=104,157,560,37]
+        - paragraph [ref=e35] [box=104,201,1072,18]: Allowed characters are A-Z, a-z, 0-9 and underscore.
+      - generic [ref=e36] [box=104,233,1072,119]:
+        - generic [ref=e37] [box=104,233,560,94]:
+          - generic [ref=e38] [box=104,233,72,21]: Password *
+          - generic [ref=e39] [box=104,254,560,73]:
+            - textbox "Password This field is required." [ref=e40] [box=104,254,559,37]
+            - textbox "Password (repeat)" [ref=e41] [box=104,290,559,37]:
+              - /placeholder: (repeat)
+        - paragraph [ref=e43] [box=104,334,1072,18]: Minimum of 8 characters.
+      - generic [ref=e44] [box=104,366,1072,83]:
+        - generic [ref=e45] [box=104,366,560,58]:
+          - generic [ref=e46] [box=104,366,88,21]: Email address
+          - textbox "Email address" [ref=e47] [box=104,387,560,37]
+        - paragraph [ref=e49] [box=104,431,1072,18]: Providing an email address is optional. We will only use it for resetting passwords.
+      - button "Sign up" [ref=e51] [cursor=pointer] [box=104,463,77,37]
+  - contentinfo [ref=e52] [box=0,671,1280,49]:
+    - paragraph [ref=e53] [box=14,685,1252,21]:
+      - generic [ref=e54] [box=601,690,79,13]:
+        - text: Running
+        - link "Postmill" [ref=e55] [cursor=pointer] [box=641,690,38,13]:
+          - /url: https://postmill.xyz/

registration-page.md

@@ -0,0 +1,56 @@
+- generic [active] [ref=e1]:
+  - navigation:
+    - link "Jump to main content" [ref=e2] [cursor=pointer]:
+      - /url: "#main"
+    - link "Jump to sidebar" [ref=e3] [cursor=pointer]:
+      - /url: "#sidebar"
+  - navigation [ref=e4]:
+    - generic [ref=e5]:
+      - link "Home" [ref=e7] [cursor=pointer]:
+        - /url: /
+        - text: Postmill
+      - list [ref=e9]:
+        - listitem [ref=e10]:
+          - link "Forums" [ref=e11] [cursor=pointer]:
+            - /url: /forums
+        - listitem [ref=e12]:
+          - link "Wiki" [ref=e13] [cursor=pointer]:
+            - /url: /wiki
+      - generic [ref=e15]:
+        - img [ref=e18]
+        - searchbox "Search query" [ref=e20]
+      - list [ref=e21]:
+        - listitem [ref=e22]:
+          - link "Log in" [ref=e23] [cursor=pointer]:
+            - /url: /login
+        - listitem [ref=e24]:
+          - link "Sign up" [ref=e25] [cursor=pointer]:
+            - /url: /registration
+  - main [ref=e27]:
+    - heading "Sign up" [level=1] [ref=e28]
+    - generic [ref=e29]:
+      - generic [ref=e30]:
+        - generic [ref=e31]:
+          - generic [ref=e32]: Username *
+          - textbox "Username This field is required." [ref=e33]
+        - paragraph [ref=e35]: Allowed characters are A-Z, a-z, 0-9 and underscore.
+      - generic [ref=e36]:
+        - generic [ref=e37]:
+          - generic [ref=e38]: Password *
+          - generic [ref=e39]:
+            - textbox "Password This field is required." [ref=e40]
+            - textbox "Password (repeat)" [ref=e41]:
+              - /placeholder: (repeat)
+        - paragraph [ref=e43]: Minimum of 8 characters.
+      - generic [ref=e44]:
+        - generic [ref=e45]:
+          - generic [ref=e46]: Email address
+          - textbox "Email address" [ref=e47]
+        - paragraph [ref=e49]: Providing an email address is optional. We will only use it for resetting passwords.
+      - button "Sign up" [ref=e51] [cursor=pointer]
+  - contentinfo [ref=e52]:
+    - paragraph [ref=e53]:
+      - generic [ref=e54]:
+        - text: Running
+        - link "Postmill" [ref=e55] [cursor=pointer]:
+          - /url: https://postmill.xyz/

registration_page.yml

@@ -0,0 +1,56 @@
+- generic [active] [ref=e1]:
+  - navigation:
+    - link "Jump to main content" [ref=e2] [cursor=pointer]:
+      - /url: "#main"
+    - link "Jump to sidebar" [ref=e3] [cursor=pointer]:
+      - /url: "#sidebar"
+  - navigation [ref=e4]:
+    - generic [ref=e5]:
+      - link "Home" [ref=e7] [cursor=pointer]:
+        - /url: /
+        - text: Postmill
+      - list [ref=e9]:
+        - listitem [ref=e10]:
+          - link "Forums" [ref=e11] [cursor=pointer]:
+            - /url: /forums
+        - listitem [ref=e12]:
+          - link "Wiki" [ref=e13] [cursor=pointer]:
+            - /url: /wiki
+      - generic [ref=e15]:
+        - img [ref=e18]
+        - searchbox "Search query" [ref=e20]
+      - list [ref=e21]:
+        - listitem [ref=e22]:
+          - link "Log in" [ref=e23] [cursor=pointer]:
+            - /url: /login
+        - listitem [ref=e24]:
+          - link "Sign up" [ref=e25] [cursor=pointer]:
+            - /url: /registration
+  - main [ref=e27]:
+    - heading "Sign up" [level=1] [ref=e28]
+    - generic [ref=e29]:
+      - generic [ref=e30]:
+        - generic [ref=e31]:
+          - generic [ref=e32]: Username *
+          - textbox "Username This field is required." [ref=e33]
+        - paragraph [ref=e35]: Allowed characters are A-Z, a-z, 0-9 and underscore.
+      - generic [ref=e36]:
+        - generic [ref=e37]:
+          - generic [ref=e38]: Password *
+          - generic [ref=e39]:
+            - textbox "Password This field is required." [ref=e40]
+            - textbox "Password (repeat)" [ref=e41]:
+              - /placeholder: (repeat)
+        - paragraph [ref=e43]: Minimum of 8 characters.
+      - generic [ref=e44]:
+        - generic [ref=e45]:
+          - generic [ref=e46]: Email address
+          - textbox "Email address" [ref=e47]
+        - paragraph [ref=e49]: Providing an email address is optional. We will only use it for resetting passwords.
+      - button "Sign up" [ref=e51] [cursor=pointer]
+  - contentinfo [ref=e52]:
+    - paragraph [ref=e53]:
+      - generic [ref=e54]:
+        - text: Running
+        - link "Postmill" [ref=e55] [cursor=pointer]:
+          - /url: https://postmill.xyz/

run-task.sh

@@ -0,0 +1,165 @@
+#!/bin/bash
+
+# MCPMark Task Runner
+# Enable strict error handling
+set -euo pipefail
+
+# Default values
+SERVICE="filesystem"
+NETWORK_NAME="mcp-network"
+POSTGRES_CONTAINER="mcp-postgres"
+
+# Resource limits (can be overridden by environment variables)
+DOCKER_MEMORY_LIMIT="${DOCKER_MEMORY_LIMIT:-4g}"
+DOCKER_CPU_LIMIT="${DOCKER_CPU_LIMIT:-2}"
+
+# Cleanup function
+cleanup() {
+    if [ "${SERVICE:-}" = "postgres" ]; then
+        if docker ps --format '{{.Names}}' | grep -q "^${POSTGRES_CONTAINER}$"; then
+            echo "Cleaning up PostgreSQL container..."
+            docker stop "$POSTGRES_CONTAINER" >/dev/null 2>&1 || true
+            docker rm "$POSTGRES_CONTAINER" >/dev/null 2>&1 || true
+        fi
+    fi
+}
+
+# Set up cleanup on exit
+trap cleanup EXIT
+
+# Parse arguments
+while [[ $# -gt 0 ]]; do
+    case $1 in
+        --mcp) SERVICE="$2"; shift 2 ;;
+        --help)
+            cat << EOF
+Usage: $0 [--mcp SERVICE] [PIPELINE_ARGS]
+
+Run MCPMark tasks in Docker containers.
+
+Options:
+    --mcp SERVICE    MCP service (notion|github|filesystem|playwright|postgres)
+                        Default: filesystem
+
+Environment Variables:
+    DOCKER_MEMORY_LIMIT  Memory limit for container (default: 4g)
+    DOCKER_CPU_LIMIT     CPU limit for container (default: 2)
+    DOCKER_IMAGE_VERSION Docker image tag to use (default: latest)
+
+All other arguments are passed directly to the pipeline.
+
+Examples:
+    $0 --mcp notion --models o3 --exp-name test-1 --tasks all
+    $0 --mcp postgres --models gpt-4 --exp-name pg-test --tasks basic_queries
+EOF
+            exit 0
+            ;;
+        *) break ;;  # Stop parsing, rest goes to pipeline
+    esac
+done
+
+# Docker image tag can be overridden by environment variable
+DOCKER_IMAGE_REPO="evalsysorg/mcpmark"
+DOCKER_IMAGE_VERSION="${DOCKER_IMAGE_VERSION:-latest}"
+DOCKER_IMAGE="${DOCKER_IMAGE_REPO}:${DOCKER_IMAGE_VERSION}"
+
+# Check if Docker image exists locally, pull only if not found
+if ! docker image inspect "$DOCKER_IMAGE" >/dev/null 2>&1; then
+    echo "Docker image not found locally, pulling from Docker Hub..."
+    docker pull "$DOCKER_IMAGE" || {
+        echo "Error: Failed to pull Docker image from Docker Hub"
+        echo "Please check your internet connection or Docker Hub access"
+        exit 1
+    }
+else
+    echo "Using local Docker image: $DOCKER_IMAGE"
+fi
+
+# Check if .mcp_env exists (warn but don't fail)
+if [ ! -f .mcp_env ]; then
+    echo "Warning: .mcp_env file not found. Some tasks may fail without API credentials."
+fi
+
+# Create network if doesn't exist
+if ! docker network ls --format '{{.Name}}' | grep -q "^${NETWORK_NAME}$"; then
+    echo "Creating Docker network: $NETWORK_NAME"
+    docker network create "$NETWORK_NAME" || {
+        echo "Error: Failed to create Docker network"
+        exit 1
+    }
+fi
+
+# Service-specific configurations
+if [ "$SERVICE" = "postgres" ]; then
+    # For postgres service, ensure PostgreSQL container is running
+    if ! docker ps --format '{{.Names}}' | grep -q "^${POSTGRES_CONTAINER}$"; then
+        echo "Starting PostgreSQL container..."
+        docker run -d \
+            --name "$POSTGRES_CONTAINER" \
+            --network "$NETWORK_NAME" \
+            -e POSTGRES_DATABASE=postgres \
+            -e POSTGRES_USER=postgres \
+            -e POSTGRES_PASSWORD="${POSTGRES_PASSWORD:-password}" \
+            pgvector/pgvector:0.8.0-pg17-bookworm
+
+        echo "Waiting for PostgreSQL to be ready..."
+        for i in {1..10}; do
+            if docker exec "$POSTGRES_CONTAINER" pg_isready -U postgres >/dev/null 2>&1; then
+                echo "PostgreSQL is ready!"
+                break
+            fi
+            sleep 1
+        done
+    else
+        echo "PostgreSQL container already running"
+    fi
+
+    # Run task with network connection to postgres
+    docker run --rm \
+        --memory="$DOCKER_MEMORY_LIMIT" \
+        --cpus="$DOCKER_CPU_LIMIT" \
+        --network "$NETWORK_NAME" \
+        -e POSTGRES_HOST="$POSTGRES_CONTAINER" \
+        -e POSTGRES_PORT=5432 \
+        -e POSTGRES_USERNAME=postgres \
+        -e POSTGRES_PASSWORD="${POSTGRES_PASSWORD:-password}" \
+        -e POSTGRES_DATABASE=postgres \
+        -v "$(pwd)/results:/app/results" \
+        -v "$(pwd)/postgres_state:/app/postgres_state" \
+        $([ -f .mcp_env ] && echo "-v $(pwd)/.mcp_env:/app/.mcp_env:ro") \
+        "$DOCKER_IMAGE" \
+        python3 -m pipeline --mcp "$SERVICE" --k 1 "$@"
+elif [ "$SERVICE" = "filesystem" ]; then
+    # For filesystem service, mount test_environments
+    docker run --rm \
+        --memory="$DOCKER_MEMORY_LIMIT" \
+        --cpus="$DOCKER_CPU_LIMIT" \
+        -v "$(pwd)/results:/app/results" \
+        -v "$(pwd)/test_environments:/app/test_environments" \
+        $([ -f .mcp_env ] && echo "-v $(pwd)/.mcp_env:/app/.mcp_env:ro") \
+        "$DOCKER_IMAGE" \
+        python3 -m pipeline --mcp "$SERVICE" --k 1 "$@"
+elif [ "$SERVICE" = "insforge" ]; then
+    # For Insforge service, use host network to access Insforge backend on host
+    docker run --rm \
+        --memory="$DOCKER_MEMORY_LIMIT" \
+        --cpus="$DOCKER_CPU_LIMIT" \
+        --add-host=host.docker.internal:host-gateway \
+        -v "$(pwd)/results:/app/results" \
+        $([ -f .mcp_env ] && echo "-v $(pwd)/.mcp_env:/app/.mcp_env:ro") \
+        "$DOCKER_IMAGE" \
+        python3 -m pipeline --mcp "$SERVICE" --k 1 "$@"
+else
+    # For other services (notion, github, playwright, etc.)
+    docker run --rm \
+        --memory="$DOCKER_MEMORY_LIMIT" \
+        --cpus="$DOCKER_CPU_LIMIT" \
+        -v "$(pwd)/results:/app/results" \
+        -v "$(pwd)/test_environments:/app/test_environments" \
+        $([ -f .mcp_env ] && echo "-v $(pwd)/.mcp_env:/app/.mcp_env:ro") \
+        $([ -f notion_state.json ] && echo "-v $(pwd)/notion_state.json:/app/notion_state.json") \
+        "$DOCKER_IMAGE" \
+        python3 -m pipeline --mcp "$SERVICE" --k 1 "$@"
+fi
+
+echo "Task completed!"

snapshot1.yml

@@ -0,0 +1,53 @@
+- generic [active] [ref=e1]:
+  - navigation:
+    - link "Jump to main content" [ref=e2] [cursor=pointer]:
+      - /url: "#main"
+    - link "Jump to sidebar" [ref=e3] [cursor=pointer]:
+      - /url: "#sidebar"
+  - navigation [ref=e4]:
+    - generic [ref=e5]:
+      - link "Home" [ref=e7] [cursor=pointer]:
+        - /url: /
+        - text: Postmill
+      - list [ref=e9]:
+        - listitem [ref=e10]:
+          - link "Forums" [ref=e11] [cursor=pointer]:
+            - /url: /forums
+        - listitem [ref=e12]:
+          - link "Wiki" [ref=e13] [cursor=pointer]:
+            - /url: /wiki
+      - generic [ref=e15]:
+        - img [ref=e18]
+        - searchbox "Search query" [ref=e20]
+      - list [ref=e21]:
+        - listitem [ref=e22]:
+          - link "Log in" [ref=e23] [cursor=pointer]:
+            - /url: /login
+        - listitem [ref=e24]:
+          - link "Sign up" [ref=e25] [cursor=pointer]:
+            - /url: /registration
+  - main [ref=e27]:
+    - heading "Sign up" [level=1] [ref=e28]
+    - generic [ref=e29]:
+      - generic [ref=e30]:
+        - generic [ref=e31]:
+          - generic [ref=e32]: Username *
+          - textbox "Username This field is required." [ref=e33]
+        - paragraph [ref=e35]: Allowed characters are A-Z, a-z, 0-9 and underscore.
+      - generic [ref=e36]:
+        - generic [ref=e37]:
+          - generic [ref=e38]: Password *
+          - generic [ref=e39]
+        - paragraph [ref=e43]: Minimum of 8 characters.
+      - generic [ref=e44]:
+        - generic [ref=e45]:
+          - generic [ref=e46]: Email address
+          - textbox "Email address" [ref=e47]
+        - paragraph [ref=e49]: Providing an email address is optional. We will only use it for resetting passwords.
+      - button "Sign up" [ref=e51] [cursor=pointer]
+  - contentinfo [ref=e52]:
+    - paragraph [ref=e53]:
+      - generic [ref=e54]:
+        - text: Running
+        - link "Postmill" [ref=e55] [cursor=pointer]:
+          - /url: https://postmill.xyz/

src/results_reporter.py

@@ -0,0 +1,353 @@
+#!/usr/bin/env python3
+"""
+Results Reporter for MCPMark Evaluation Pipeline
+================================================
+
+This module provides utilities for saving evaluation results in a structured format.
+"""
+
+import json
+from dataclasses import dataclass
+from datetime import datetime
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+from src.logger import get_logger
+
+# Initialize logger
+logger = get_logger(__name__)
+
+
+@dataclass
+class TaskResult:
+    """
+    Represents the result of a single task evaluation.
+
+    Attributes:
+        task_name: The full name of the task (e.g., "category_id__task_id").
+        success: Whether the task completed successfully.
+        category_id: The task category ID.
+        task_id: The task identifier (number or slug).
+        error_message: Error message from agent execution if it failed.
+        verification_error: Error message from verification if it failed.
+        verification_output: Captured stdout from verification script.
+        model_output: Agent conversation trajectory (messages).
+        token_usage: Token usage statistics.
+        turn_count: Number of turns taken during task execution.
+        agent_execution_time: Time for Step 2 (agent execution) in seconds.
+        task_execution_time: Total time for Steps 1-4 in seconds.
+    """
+
+    task_name: str
+    success: bool
+    category_id: Optional[str] = None
+    task_id: Optional[str] = None
+    error_message: Optional[str] = None  # Agent execution error
+    verification_error: Optional[str] = None  # Verification error (separate from agent error)
+    verification_output: Optional[str] = None  # Verification stdout/stderr
+    model_output: Optional[Any] = None  # Agent conversation trajectory
+    token_usage: Optional[Dict[str, int]] = None  # Token usage statistics
+    turn_count: Optional[int] = None  # Number of turns taken during task execution
+    agent_execution_time: float = 0.0  # Time for Step 2 (agent execution) in seconds
+    task_execution_time: float = 0.0  # Total time for Steps 1-4 in seconds
+
+    @property
+    def status(self) -> str:
+        """Returns the status of the task as 'PASS' or 'FAIL'."""
+        return "PASS" if self.success else "FAIL"
+
+
+@dataclass
+class EvaluationReport:
+    """Represents a complete evaluation report for a model."""
+
+    model_name: str
+    model_config: Dict[str, Any]
+    total_tasks: int
+    successful_tasks: int
+    failed_tasks: int
+    task_results: List[TaskResult]
+    tasks_filter: Optional[str] = None
+
+    @property
+    def success_rate(self) -> float:
+        """Calculates the overall success rate as a percentage."""
+        if self.total_tasks == 0:
+            return 0.0
+        return (self.successful_tasks / self.total_tasks) * 100
+
+    @property
+    def total_input_tokens(self) -> int:
+        """Calculate total input tokens across all tasks."""
+        total = 0
+        for result in self.task_results:
+            if result.token_usage:
+                total += (result.token_usage.get("input_tokens") or 0)
+        return total
+
+    @property
+    def total_output_tokens(self) -> int:
+        """Calculate total output tokens across all tasks."""
+        total = 0
+        for result in self.task_results:
+            if result.token_usage:
+                total += (result.token_usage.get("output_tokens") or 0)
+        return total
+
+    @property
+    def total_tokens(self) -> int:
+        """Calculate total tokens across all tasks."""
+        total = 0
+        for result in self.task_results:
+            if result.token_usage:
+                total += (result.token_usage.get("total_tokens") or 0)
+        return total
+    
+    @property
+    def total_reasoning_tokens(self) -> int:
+        """Calculate total reasoning tokens across all tasks."""
+        total = 0
+        for result in self.task_results:
+            if result.token_usage:
+                total += (result.token_usage.get("reasoning_tokens") or 0)
+        return total
+
+    @property
+    def avg_input_tokens(self) -> float:
+        """Calculate average input tokens per task."""
+        if self.total_tasks == 0:
+            return 0.0
+        return self.total_input_tokens / self.total_tasks
+
+    @property
+    def avg_output_tokens(self) -> float:
+        """Calculate average output tokens per task."""
+        if self.total_tasks == 0:
+            return 0.0
+        return self.total_output_tokens / self.total_tasks
+
+    @property
+    def avg_total_tokens(self) -> float:
+        """Calculate average total tokens per task."""
+        if self.total_tasks == 0:
+            return 0.0
+        return self.total_tokens / self.total_tasks
+    
+    @property
+    def avg_reasoning_tokens(self) -> float:
+        """Calculate average reasoning tokens per task."""
+        if self.total_tasks == 0:
+            return 0.0
+        return self.total_reasoning_tokens / self.total_tasks
+
+    @property
+    def total_task_execution_time(self) -> float:
+        """Calculates the total task execution time from sum of all task execution times."""
+        # Use sum of individual task execution times instead of pipeline wall clock time
+        # This ensures resume functionality shows correct total time
+        return sum(task.task_execution_time for task in self.task_results)
+    
+    @property
+    def total_agent_execution_time(self) -> float:
+        """Calculates the total agent execution time (Step 2) across all tasks."""
+        return sum(task.agent_execution_time for task in self.task_results)
+
+    def get_category_stats(self) -> Dict[str, Dict[str, Any]]:
+        """
+        Calculates and returns success statistics grouped by task category.
+        """
+        category_stats = {}
+
+        for result in self.task_results:
+            category = result.category_id or "Uncategorized"
+            if category not in category_stats:
+                category_stats[category] = {
+                    "total": 0,
+                    "successful": 0,
+                    "failed": 0,
+                    "success_rate": 0.0,
+                    "avg_execution_time": 0.0,
+                    "avg_agent_execution_time": 0.0,
+                    "total_input_tokens": 0,
+                    "total_output_tokens": 0,
+                    "total_tokens": 0,
+                    "total_reasoning_tokens": 0,
+                    "avg_input_tokens": 0.0,
+                    "avg_output_tokens": 0.0,
+                    "avg_total_tokens": 0.0,
+                    "avg_reasoning_tokens": 0.0,
+                    "total_turns": 0,
+                    "avg_turns": 0.0,
+                }
+
+            category_stats[category]["total"] += 1
+            if result.success:
+                category_stats[category]["successful"] += 1
+            else:
+                category_stats[category]["failed"] += 1
+
+            # Add token and turn usage
+            if result.token_usage:
+                category_stats[category]["total_input_tokens"] += (
+                    result.token_usage.get("input_tokens") or 0
+                )
+                category_stats[category]["total_output_tokens"] += (
+                    result.token_usage.get("output_tokens") or 0
+                )
+                category_stats[category]["total_tokens"] += (
+                    result.token_usage.get("total_tokens") or 0
+                )
+                category_stats[category]["total_reasoning_tokens"] += result.token_usage.get(
+                    "reasoning_tokens", 0
+                ) or 0
+
+            # Accumulate turns
+            if result.turn_count is not None:
+                category_stats[category]["total_turns"] += result.turn_count
+
+        # Calculate derived metrics like success rate and average time
+        for category, stats in category_stats.items():
+            if stats["total"] > 0:
+                stats["success_rate"] = (stats["successful"] / stats["total"]) * 100
+                category_results = [
+                    r
+                    for r in self.task_results
+                    if (r.category_id or "Uncategorized") == category
+                ]
+                total_time = sum(r.task_execution_time for r in category_results)
+                stats["avg_execution_time"] = total_time / len(category_results)
+                
+                # Add agent execution time stats
+                total_agent_time = sum(r.agent_execution_time for r in category_results)
+                stats["avg_agent_execution_time"] = total_agent_time / len(category_results)
+
+                # Calculate average tokens and turns
+                stats["avg_input_tokens"] = stats["total_input_tokens"] / stats["total"]
+                stats["avg_output_tokens"] = (
+                    stats["total_output_tokens"] / stats["total"]
+                )
+                stats["avg_total_tokens"] = stats["total_tokens"] / stats["total"]
+                stats["avg_reasoning_tokens"] = stats["total_reasoning_tokens"] / stats["total"]
+
+                stats["avg_turns"] = (
+                    stats["total_turns"] / stats["total"] if stats["total"] > 0 else 0
+                )
+
+        return category_stats
+
+
+class ResultsReporter:
+    """Handles saving evaluation results in structured formats."""
+
+    def __init__(self):
+        """Initialize the results reporter."""
+        pass
+
+    def save_messages_json(self, messages: Any, output_path: Path) -> Path:
+        """Saves the conversation messages/trajectory as messages.json."""
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+        with output_path.open("w", encoding="utf-8") as f:
+            json.dump(messages, f, indent=2, ensure_ascii=False)
+        return output_path
+
+    def save_meta_json(
+        self,
+        task_result: TaskResult,
+        model_config: Dict[str, Any],
+        start_time: datetime,
+        end_time: datetime,
+        output_path: Path,
+    ) -> Path:
+        """Saves task metadata (excluding messages) as meta.json."""
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+
+        meta_data = {
+            "task_name": task_result.task_name,
+            "model_name": model_config.get("model_name", "unknown"),
+            "litellm_run_model_name": model_config.get("litellm_run_model_name"),
+            "reasoning_effort": model_config.get("reasoning_effort"),
+            "mcp": model_config.get("mcp_service", "unknown"),
+            "timeout": model_config.get("timeout", 300),
+            "time": {"start": start_time.isoformat(), "end": end_time.isoformat()},
+            "agent_execution_time": task_result.agent_execution_time,
+            "task_execution_time": task_result.task_execution_time,
+            "execution_result": {
+                "success": task_result.success,
+                "error_message": task_result.error_message,
+                "verification_error": task_result.verification_error,
+                "verification_output": task_result.verification_output,
+            },
+            "token_usage": task_result.token_usage or {},
+            "turn_count": task_result.turn_count,
+        }
+
+        with output_path.open("w", encoding="utf-8") as f:
+            json.dump(meta_data, f, indent=2, ensure_ascii=False)
+        return output_path
+
+    def save_model_summary(self, report: EvaluationReport, output_path: Path) -> Path:
+        """Saves a concise model-level summary."""
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+
+        category_stats = report.get_category_stats()
+
+        # Aggregate turn counts using category_stats
+        total_turns = sum(stats["total_turns"] for stats in category_stats.values())
+        avg_turns = total_turns / report.total_tasks if report.total_tasks > 0 else 0
+
+        summary = {
+            "model_name": report.model_name,
+            "model_config": report.model_config,
+            "total_tasks": report.total_tasks,
+            "successful_tasks": report.successful_tasks,
+            "failed_tasks": report.failed_tasks,
+            "success_rate": round(report.success_rate, 2),
+            "total_task_execution_time": report.total_task_execution_time,
+            "average_task_execution_time": report.total_task_execution_time / report.total_tasks
+            if report.total_tasks > 0
+            else 0,
+            "total_agent_execution_time": report.total_agent_execution_time,
+            "average_agent_execution_time": report.total_agent_execution_time / report.total_tasks
+            if report.total_tasks > 0
+            else 0,
+            "token_usage": {
+                "total_input_tokens": report.total_input_tokens,
+                "total_output_tokens": report.total_output_tokens,
+                "total_tokens": report.total_tokens,
+                "total_reasoning_tokens": report.total_reasoning_tokens,
+                "avg_input_tokens": round(report.avg_input_tokens, 2),
+                "avg_output_tokens": round(report.avg_output_tokens, 2),
+                "avg_total_tokens": round(report.avg_total_tokens, 2),
+                "avg_reasoning_tokens": round(report.avg_reasoning_tokens, 2),
+            },
+            "turn_usage": {
+                "total_turns": total_turns,
+                "avg_turns": round(avg_turns, 2),
+            },
+            "category_breakdown": {
+                category: {
+                    "total": stats["total"],
+                    "success_rate": round(stats["success_rate"], 2),
+                    "avg_time": round(stats["avg_execution_time"], 2),
+                    "token_usage": {
+                        "total_input": stats["total_input_tokens"],
+                        "total_output": stats["total_output_tokens"],
+                        "total": stats["total_tokens"],
+                        "total_reasoning": stats["total_reasoning_tokens"],
+                        "avg_input": round(stats["avg_input_tokens"], 2),
+                        "avg_output": round(stats["avg_output_tokens"], 2),
+                        "avg_total": round(stats["avg_total_tokens"], 2),
+                        "avg_reasoning": round(stats["avg_reasoning_tokens"], 2),
+                    },
+                    "turn_usage": {
+                        "total_turns": stats["total_turns"],
+                        "avg_turns": round(stats["avg_turns"], 2),
+                    },
+                }
+                for category, stats in category_stats.items()
+            },
+        }
+
+        with output_path.open("w", encoding="utf-8") as f:
+            json.dump(summary, f, indent=2, ensure_ascii=False)
+        return output_path

src/services.py

@@ -0,0 +1,458 @@
+"""
+Service Definitions for MCPMark
+================================
+
+Single source of truth for all MCP service configurations.
+Adding a new service only requires modifying this file.
+
+Note: Environment variables are already loaded from .mcp_env when the app starts,
+so we can reference them directly via the config system.
+
+MCP server creation is now handled entirely within src.agent.MCPAgent; therefore,
+the legacy "mcp_server" and "eval_config" entries in each service definition are
+deprecated and set to None for backward-compatibility.
+"""
+
+# Service definitions
+SERVICES = {
+    "notion": {
+        "config_schema": {
+            "source_api_key": {
+                "env_var": "SOURCE_NOTION_API_KEY",
+                "required": True,
+                "description": "Notion API key for source hub with templates",
+            },
+            "eval_api_key": {
+                "env_var": "EVAL_NOTION_API_KEY",
+                "required": True,
+                "description": "Notion API key for evaluation hub",
+            },
+            "source_parent_page_title": {
+                "env_var": "SOURCE_PARENT_PAGE_TITLE",
+                "default": "MCPMark Source Hub",
+                "required": False,
+                "description": "Title of the source hub page that contains all initial states",
+            },
+            "eval_parent_page_title": {
+                "env_var": "EVAL_PARENT_PAGE_TITLE",
+                "required": True,
+                "description": "Title of the parent page in evaluation workspace",
+            },
+            "playwright_headless": {
+                "env_var": "PLAYWRIGHT_HEADLESS",
+                "default": True,
+                "required": False,
+                "description": "Run browser in headless mode",
+                "transform": "bool",  # Will be handled by GenericConfigSchema
+            },
+            "playwright_browser": {
+                "env_var": "PLAYWRIGHT_BROWSER",
+                "default": "firefox",
+                "required": False,
+                "description": "Browser to use for Playwright",
+                "validator": "in:chromium,firefox,webkit",  # Simple validator syntax
+            },
+        },
+        "components": {
+            "task_manager": "src.mcp_services.notion.notion_task_manager.NotionTaskManager",
+            "state_manager": "src.mcp_services.notion.notion_state_manager.NotionStateManager",
+            "login_helper": "src.mcp_services.notion.notion_login_helper.NotionLoginHelper",
+        },
+        "config_mapping": {
+            # Maps config schema keys to class constructor parameters
+            "state_manager": {
+                "source_notion_key": "source_api_key",
+                "eval_notion_key": "eval_api_key",
+                "headless": "playwright_headless",
+                "browser": "playwright_browser",
+                "source_parent_page_title": "source_parent_page_title",
+                "eval_parent_page_title": "eval_parent_page_title",
+            },
+            "login_helper": {
+                "headless": "playwright_headless",
+                "browser": "playwright_browser",
+            },
+        },
+        # MCP server is now instantiated dynamically in MCPAgent; kept for backward
+        # compatibility but set to None to indicate deprecation.
+        "mcp_server": None,
+        "eval_config": None,
+    },
+    "github": {
+        "config_schema": {
+            "github_tokens": {
+                "env_var": "GITHUB_TOKENS",
+                "required": True,
+                "description": "GitHub personal access token(s) - comma-separated for round-robin",
+                "transform": "list",  # Will split by comma
+            },
+            # Evaluation organisation / user that hosts ephemeral test repositories
+            "eval_org": {
+                "env_var": "GITHUB_EVAL_ORG",
+                "default": "mcpleague-eval",
+                "required": False,
+                "description": "Evaluation organisation or user for creating temporary test repositories",
+            },
+            # (source_org removed – template repos now imported from local files)
+        },
+        "components": {
+            "task_manager": "src.mcp_services.github.github_task_manager.GitHubTaskManager",
+            "state_manager": "src.mcp_services.github.github_state_manager.GitHubStateManager",
+            "login_helper": "src.mcp_services.github.github_login_helper.GitHubLoginHelper",
+        },
+        "config_mapping": {
+            "state_manager": {
+                "github_token": "github_tokens",
+                "eval_org": "eval_org",
+            },
+            "login_helper": {
+                # Login helper needs a single token, we'll use the first one
+                "token": "github_tokens",
+            },
+        },
+        "mcp_server": None,
+        "eval_config": None,
+    },
+    "filesystem": {
+        "config_schema": {
+            "test_root": {
+                "env_var": "FILESYSTEM_TEST_ROOT",
+                "default": None,
+                "required": False,
+                "description": "Root directory for filesystem tests",
+                "transform": "path",  # Convert to Path object
+            },
+            "cleanup_on_exit": {
+                "env_var": "FILESYSTEM_CLEANUP",
+                "default": True,
+                "required": False,
+                "description": "Clean up test directories after tasks",
+                "transform": "bool",
+            },
+        },
+        "components": {
+            "task_manager": "src.mcp_services.filesystem.filesystem_task_manager.FilesystemTaskManager",
+            "state_manager": "src.mcp_services.filesystem.filesystem_state_manager.FilesystemStateManager",
+            "login_helper": "src.mcp_services.filesystem.filesystem_login_helper.FilesystemLoginHelper",
+        },
+        "config_mapping": {
+            "state_manager": {
+                "test_root": "test_root",
+                "cleanup_on_exit": "cleanup_on_exit",
+            }
+        },
+        "mcp_server": None,
+        "eval_config": None,
+    },
+    "playwright": {
+        "config_schema": {
+            "browser": {
+                "env_var": "PLAYWRIGHT_BROWSER",
+                "default": "chromium",
+                "required": False,
+                "description": "Browser to use (chromium, firefox, webkit)",
+                "validator": "in:chromium,firefox,webkit",
+            },
+            "headless": {
+                "env_var": "PLAYWRIGHT_HEADLESS",
+                "default": True,
+                "required": False,
+                "description": "Run browser in headless mode",
+                "transform": "bool",
+            },
+            "network_origins": {
+                "env_var": "PLAYWRIGHT_NETWORK_ORIGINS",
+                "default": "*",
+                "required": False,
+                "description": "Allowed network origins (comma-separated or *)",
+            },
+            "user_profile": {
+                "env_var": "PLAYWRIGHT_USER_PROFILE",
+                "default": "isolated",
+                "required": False,
+                "description": "User profile type (isolated or persistent)",
+                "validator": "in:isolated,persistent",
+            },
+            "viewport_width": {
+                "env_var": "PLAYWRIGHT_VIEWPORT_WIDTH",
+                "default": 1280,
+                "required": False,
+                "description": "Browser viewport width",
+                "transform": "int",
+            },
+            "viewport_height": {
+                "env_var": "PLAYWRIGHT_VIEWPORT_HEIGHT",
+                "default": 720,
+                "required": False,
+                "description": "Browser viewport height",
+                "transform": "int",
+            },
+        },
+        "components": {
+            "task_manager": "src.mcp_services.playwright.playwright_task_manager.PlaywrightTaskManager",
+            "state_manager": "src.mcp_services.playwright.playwright_state_manager.PlaywrightStateManager",
+            "login_helper": "src.mcp_services.playwright.playwright_login_helper.PlaywrightLoginHelper",
+        },
+        "config_mapping": {
+            "state_manager": {
+                "browser": "browser",
+                "headless": "headless",
+                "network_origins": "network_origins",
+                "user_profile": "user_profile",
+                "viewport_width": "viewport_width",
+                "viewport_height": "viewport_height",
+            },
+            "login_helper": {
+                "browser": "browser",
+                "headless": "headless",
+            },
+        },
+        "mcp_server": None,
+        "eval_config": None,
+    },
+    "postgres": {
+        "config_schema": {
+            "host": {
+                "env_var": "POSTGRES_HOST",
+                "default": "localhost",
+                "required": False,
+                "description": "PostgreSQL server host",
+            },
+            "port": {
+                "env_var": "POSTGRES_PORT",
+                "default": 5432,
+                "required": False,
+                "description": "PostgreSQL server port",
+                "transform": "int",
+                "validator": "port",  # Validates port range 1-65535
+            },
+            "database": {
+                "env_var": "POSTGRES_DATABASE",
+                "default": "postgres",
+                "required": False,
+                "description": "PostgreSQL database name",
+            },
+            "username": {
+                "env_var": "POSTGRES_USERNAME",
+                "default": "postgres",
+                "required": False,
+                "description": "PostgreSQL username",
+            },
+            "password": {
+                "env_var": "POSTGRES_PASSWORD",
+                "default": "password",
+                "required": False,
+                "description": "PostgreSQL password",
+            },
+        },
+        "components": {
+            "task_manager": "src.mcp_services.postgres.postgres_task_manager.PostgresTaskManager",
+            "state_manager": "src.mcp_services.postgres.postgres_state_manager.PostgresStateManager",
+            "login_helper": "src.mcp_services.postgres.postgres_login_helper.PostgresLoginHelper",
+        },
+        "config_mapping": {
+            "state_manager": {
+                "host": "host",
+                "port": "port",
+                "database": "database",
+                "username": "username",
+                "password": "password",
+            },
+            "login_helper": {
+                "host": "host",
+                "port": "port",
+                "database": "database",
+                "username": "username",
+                "password": "password",
+            },
+        },
+        "mcp_server": None,
+        "eval_config": None,
+    },
+    "insforge": {
+        "config_schema": {
+            "api_key": {
+                "env_var": "INSFORGE_API_KEY",
+                "required": True,
+                "description": "Insforge backend API key for authentication",
+            },
+            "backend_url": {
+                "env_var": "INSFORGE_BACKEND_URL",
+                "required": True,
+                "description": "Insforge backend URL (e.g., https://your-app.insforge.app)",
+            },
+        },
+        "components": {
+            "task_manager": "src.mcp_services.insforge.insforge_task_manager.InsforgeTaskManager",
+            "state_manager": "src.mcp_services.insforge.insforge_state_manager.InsforgeStateManager",
+            "login_helper": "src.mcp_services.insforge.insforge_login_helper.InsforgeLoginHelper",
+        },
+        "config_mapping": {
+            "state_manager": {
+                "api_key": "api_key",
+                "backend_url": "backend_url",
+            },
+            "login_helper": {
+                "api_key": "api_key",
+                "backend_url": "backend_url",
+            },
+        },
+        "mcp_server": None,
+        "eval_config": None,
+    },
+    "supabase": {
+        "config_schema": {
+            "api_url": {
+                "env_var": "SUPABASE_API_URL",
+                "required": False,
+                "description": "Supabase PostgREST API URL (default: http://localhost:54321 from CLI)",
+                "default": "http://localhost:54321",
+            },
+            "api_key": {
+                "env_var": "SUPABASE_API_KEY",
+                "required": False,
+                "description": "Supabase API key (anon or service_role key from 'supabase status')",
+            },
+            "postgres_host": {
+                "env_var": "SUPABASE_DB_HOST",
+                "required": False,
+                "description": "PostgreSQL host for Supabase CLI instance",
+                "default": "localhost",
+            },
+            "postgres_port": {
+                "env_var": "SUPABASE_DB_PORT",
+                "required": False,
+                "description": "PostgreSQL port for Supabase CLI instance (default: 54322)",
+                "default": 54322,
+            },
+            "postgres_user": {
+                "env_var": "SUPABASE_DB_USER",
+                "required": False,
+                "description": "PostgreSQL username",
+                "default": "postgres",
+            },
+            "postgres_password": {
+                "env_var": "SUPABASE_DB_PASSWORD",
+                "required": False,
+                "description": "PostgreSQL password",
+                "default": "postgres",
+            },
+            "postgres_database": {
+                "env_var": "SUPABASE_DB_NAME",
+                "required": False,
+                "description": "PostgreSQL database name",
+                "default": "postgres",
+            },
+        },
+        "components": {
+            "task_manager": "src.mcp_services.supabase.supabase_task_manager.SupabaseTaskManager",
+            "state_manager": "src.mcp_services.supabase.supabase_state_manager.SupabaseStateManager",
+            "login_helper": "src.mcp_services.supabase.supabase_login_helper.SupabaseLoginHelper",
+        },
+        "config_mapping": {
+            "state_manager": {
+                "api_url": "api_url",
+                "api_key": "api_key",
+                "postgres_host": "postgres_host",
+                "postgres_port": "postgres_port",
+                "postgres_user": "postgres_user",
+                "postgres_password": "postgres_password",
+                "postgres_database": "postgres_database",
+            },
+            "login_helper": {},
+        },
+        "mcp_server": None,
+        "eval_config": None,
+    },
+    "playwright_webarena": {
+        "config_schema": {
+            "browser": {
+                "env_var": "PLAYWRIGHT_BROWSER",
+                "default": "chromium",
+                "required": False,
+                "description": "Browser to use (chromium, firefox, webkit)",
+                "validator": "in:chromium,firefox,webkit",
+            },
+            "headless": {
+                "env_var": "PLAYWRIGHT_HEADLESS",
+                "default": True,
+                "required": False,
+                "description": "Run browser in headless mode",
+                "transform": "bool",
+            },
+            "network_origins": {
+                "env_var": "PLAYWRIGHT_NETWORK_ORIGINS",
+                "default": "*",
+                "required": False,
+                "description": "Allowed network origins (comma-separated or *)",
+            },
+            "user_profile": {
+                "env_var": "PLAYWRIGHT_USER_PROFILE",
+                "default": "isolated",
+                "required": False,
+                "description": "User profile type (isolated or persistent)",
+                "validator": "in:isolated,persistent",
+            },
+            "viewport_width": {
+                "env_var": "PLAYWRIGHT_VIEWPORT_WIDTH",
+                "default": 1280,
+                "required": False,
+                "description": "Browser viewport width",
+                "transform": "int",
+            },
+            "viewport_height": {
+                "env_var": "PLAYWRIGHT_VIEWPORT_HEIGHT",
+                "default": 720,
+                "required": False,
+                "description": "Browser viewport height",
+                "transform": "int",
+            },
+            "skip_cleanup": {
+                "env_var": "PLAYWRIGHT_WEBARENA_SKIP_CLEANUP",
+                "default": False,
+                "required": False,
+                "description": "Skip Docker container cleanup for debugging",
+                "transform": "bool",
+            },
+        },
+        "components": {
+            "task_manager": "src.mcp_services.playwright_webarena.playwright_task_manager.PlaywrightTaskManager",
+            "state_manager": "src.mcp_services.playwright_webarena.playwright_state_manager.PlaywrightStateManager",
+            "login_helper": "src.mcp_services.playwright_webarena.playwright_login_helper.PlaywrightLoginHelper",
+        },
+        "config_mapping": {
+            "state_manager": {
+                "browser": "browser",
+                "headless": "headless",
+                "network_origins": "network_origins",
+                "user_profile": "user_profile",
+                "viewport_width": "viewport_width",
+                "viewport_height": "viewport_height",
+                "skip_cleanup": "skip_cleanup",
+            },
+            "login_helper": {
+                "browser": "browser",
+                "headless": "headless",
+            },
+            "task_manager": {},
+        },
+        "mcp_server": None,
+        "eval_config": None,
+    },
+}
+
+
+def get_service_definition(service_name: str) -> dict:
+    """Get MCP service definition by name."""
+    if service_name not in SERVICES:
+        raise ValueError(f"Unknown MCP service: {service_name}")
+    return SERVICES[service_name]
+
+
+def get_supported_mcp_services() -> list:
+    """Get list of implemented MCP services."""
+    return [
+        name
+        for name, config in SERVICES.items()
+        if config["components"]["task_manager"] is not None
+    ]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_13/execution.log

@@ -0,0 +1,29 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://arxiv.org/abs/1909.11942"}
+| browser_snapshot {}
+Zhenzhong Lan

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_13/messages.json

@@ -0,0 +1,43 @@
+[
+  {
+    "content": "Please use Playwright MCP tools to finish the following task:\n\n### Task: Look up a paper on arXiv\n\nOpen this page in the browser: https://arxiv.org/abs/1909.11942\n\nThen provide the complete name of the first author..\n\nYour final reply must contain ONLY that value — no preamble, labels, units, or extra words.\n\nUse Playwright MCP tools to complete this web task.",
+    "role": "user"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/abs/1909.11942\"}",
+    "call_id": "call_00_7FDn7CK5k9YXCXiCSwsh9701",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_7FDn7CK5k9YXCXiCSwsh9701",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1909.11942');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1909.11942\\\\n- Page Title: [1909.11942] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-06-33-687Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_XHkzZePs0DresRYurquI3443",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_XHkzZePs0DresRYurquI3443",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1909.11942\\\\n- Page Title: [1909.11942] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - link \\\\\\\"Learn about arXiv becoming an independent nonprofit.\\\\\\\" [ref=e10] [cursor=pointer]:\\\\n        - /url: https://tech.cornell.edu/arxiv/\\\\n      - generic [ref=e11]:\\\\n        - generic [ref=e12]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e13] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e14] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e15]:\\\\n      - generic [ref=e16]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e17] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e18]\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e20] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e21]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1909.11942\\\\n      - generic [ref=e24]:\\\\n        - generic [ref=e25]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e26]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e27]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e28] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e29] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e31]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e32] [cursor=pointer]\\\\n  - main [ref=e33]:\\\\n    - generic [ref=e35]:\\\\n      - generic [ref=e36]:\\\\n        - heading \\\\\\\"Computer Science > Computation and Language\\\\\\\" [level=1] [ref=e38]\\\\n        - generic [ref=e40]:\\\\n          - generic [ref=e41]:\\\\n            - text: \\\\\\\"[Submitted on 26 Sep 2019 (\\\\\\\"\\\\n            - link \\\\\\\"v1\\\\\\\" [ref=e42] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/abs/1909.11942v1\\\\n            - text: ), last revised 9 Feb 2020 (this version, v6)]\\\\n          - 'heading \\\\\\\"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\\\\\\\" [level=1] [ref=e43]'\\\\n          - generic [ref=e44]:\\\\n            - link \\\\\\\"Zhenzhong Lan\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Lan,+Z\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Mingda Chen\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Chen,+M\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Sebastian Goodman\\\\\\\" [ref=e47] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Goodman,+S\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Kevin Gimpel\\\\\\\" [ref=e48] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Gimpel,+K\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Piyush Sharma\\\\\\\" [ref=e49] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Sharma,+P\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Radu Soricut\\\\\\\" [ref=e50] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Soricut,+R\\\\n          - blockquote [ref=e51]:\\\\n            - text: Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations and longer training times. To address these problems, we present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT. Comprehensive empirical evidence shows that our proposed methods lead to models that scale much better compared to the original BERT. We also use a self-supervised loss that focuses on modeling inter-sentence coherence, and show it consistently helps downstream tasks with multi-sentence inputs. As a result, our best model establishes new state-of-the-art results on the GLUE, RACE, and \\\\\\\\squad benchmarks while having fewer parameters compared to BERT-large. The code and the pretrained models are available at\\\\n            - link \\\\\\\"this https URL\\\\\\\" [ref=e52] [cursor=pointer]:\\\\n              - /url: https://github.com/google-research/ALBERT\\\\n            - text: .\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e54]:\\\\n            - rowgroup [ref=e55]:\\\\n              - 'row \\\\\\\"Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)\\\\\\\" [ref=e56]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e57]\\\\n                - cell \\\\\\\"Computation and Language (cs.CL); Artificial Intelligence (cs.AI)\\\\\\\" [ref=e58]\\\\n              - 'row \\\\\\\"Cite as: arXiv:1909.11942 [cs.CL]\\\\\\\" [ref=e59]':\\\\n                - cell \\\\\\\"Cite as:\\\\\\\" [ref=e60]\\\\n                - cell \\\\\\\"arXiv:1909.11942 [cs.CL]\\\\\\\" [ref=e61]:\\\\n                  - generic [ref=e62]:\\\\n                    - link \\\\\\\"arXiv:1909.11942\\\\\\\" [ref=e63] [cursor=pointer]:\\\\n                      - /url: https://arxiv.org/abs/1909.11942\\\\n                    - text: \\\\\\\"[cs.CL]\\\\\\\"\\\\n              - row \\\\\\\"(or arXiv:1909.11942v6 [cs.CL] for this version)\\\\\\\" [ref=e64]:\\\\n                - cell [ref=e65]\\\\n                - cell \\\\\\\"(or arXiv:1909.11942v6 [cs.CL] for this version)\\\\\\\" [ref=e66]:\\\\n                  - text: (or\\\\n                  - generic [ref=e67]:\\\\n                    - link \\\\\\\"arXiv:1909.11942v6\\\\\\\" [ref=e68] [cursor=pointer]:\\\\n                      - /url: https://arxiv.org/abs/1909.11942v6\\\\n                    - text: \\\\\\\"[cs.CL]\\\\\\\"\\\\n                  - text: for this version)\\\\n              - row \\\\\\\"https://doi.org/10.48550/arXiv.1909.11942 Focus to learn more\\\\\\\" [ref=e69]:\\\\n                - cell [ref=e70]\\\\n                - cell \\\\\\\"https://doi.org/10.48550/arXiv.1909.11942 Focus to learn more\\\\\\\" [ref=e71]:\\\\n                  - link \\\\\\\"https://doi.org/10.48550/arXiv.1909.11942\\\\\\\" [ref=e72] [cursor=pointer]:\\\\n                    - /url: https://doi.org/10.48550/arXiv.1909.11942\\\\n                  - button \\\\\\\"Focus to learn more\\\\\\\" [ref=e74]:\\\\n                    - generic [ref=e76]: Focus to learn more\\\\n        - generic [ref=e77]:\\\\n          - heading \\\\\\\"Submission history\\\\\\\" [level=2] [ref=e78]\\\\n          - text: \\\\\\\"From: Zhenzhong Lan [\\\\\\\"\\\\n          - link \\\\\\\"view email\\\\\\\" [ref=e79] [cursor=pointer]:\\\\n            - /url: /show-email/5a5799b2/1909.11942\\\\n          - text: \\\\\\\"]\\\\\\\"\\\\n          - strong [ref=e80]:\\\\n            - link \\\\\\\"[v1]\\\\\\\" [ref=e81] [cursor=pointer]:\\\\n              - /url: /abs/1909.11942v1\\\\n          - text: Thu, 26 Sep 2019 07:06:13 UTC (601 KB)\\\\n          - strong [ref=e82]:\\\\n            - link \\\\\\\"[v2]\\\\\\\" [ref=e83] [cursor=pointer]:\\\\n              - /url: /abs/1909.11942v2\\\\n          - text: Wed, 23 Oct 2019 03:22:00 UTC (602 KB)\\\\n          - strong [ref=e84]:\\\\n            - link \\\\\\\"[v3]\\\\\\\" [ref=e85] [cursor=pointer]:\\\\n              - /url: /abs/1909.11942v3\\\\n          - text: Wed, 30 Oct 2019 02:19:07 UTC (602 KB)\\\\n          - strong [ref=e86]:\\\\n            - link \\\\\\\"[v4]\\\\\\\" [ref=e87] [cursor=pointer]:\\\\n              - /url: /abs/1909.11942v4\\\\n          - text: Fri, 10 Jan 2020 19:00:02 UTC (602 KB)\\\\n          - strong [ref=e88]:\\\\n            - link \\\\\\\"[v5]\\\\\\\" [ref=e89] [cursor=pointer]:\\\\n              - /url: /abs/1909.11942v5\\\\n          - text: Mon, 3 Feb 2020 04:01:33 UTC (603 KB)\\\\n          - strong [ref=e90]: \\\\\\\"[v6]\\\\\\\"\\\\n          - text: Sun, 9 Feb 2020 03:00:18 UTC (603 KB)\\\\n      - generic [ref=e91]:\\\\n        - generic [ref=e92]:\\\\n          - heading \\\\\\\"Access Paper:\\\\\\\" [level=2] [ref=e93]\\\\n          - list [ref=e94]:\\\\n            - listitem [ref=e95]:\\\\n              - link \\\\\\\"View PDF\\\\\\\" [ref=e96] [cursor=pointer]:\\\\n                - /url: /pdf/1909.11942\\\\n            - listitem [ref=e97]:\\\\n              - link \\\\\\\"TeX Source\\\\\\\" [ref=e98] [cursor=pointer]:\\\\n                - /url: /src/1909.11942\\\\n          - link \\\\\\\"view license\\\\\\\" [ref=e100] [cursor=pointer]:\\\\n            - /url: http://arxiv.org/licenses/nonexclusive-distrib/1.0/\\\\n        - generic [ref=e101]:\\\\n          - heading \\\\\\\"Current browse context:\\\\\\\" [level=3] [ref=e102]\\\\n          - generic [ref=e103]: cs.CL\\\\n          - generic [ref=e104]:\\\\n            - link \\\\\\\"< prev\\\\\\\" [ref=e106] [cursor=pointer]:\\\\n              - /url: /prevnext?id=1909.11942&function=prev&context=cs.CL\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"next >\\\\\\\" [ref=e108] [cursor=pointer]:\\\\n              - /url: /prevnext?id=1909.11942&function=next&context=cs.CL\\\\n          - generic [ref=e109]:\\\\n            - link \\\\\\\"new\\\\\\\" [ref=e110] [cursor=pointer]:\\\\n              - /url: /list/cs.CL/new\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"recent\\\\\\\" [ref=e111] [cursor=pointer]:\\\\n              - /url: /list/cs.CL/recent\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"2019-09\\\\\\\" [ref=e112] [cursor=pointer]:\\\\n              - /url: /list/cs.CL/2019-09\\\\n          - generic [ref=e113]:\\\\n            - text: \\\\\\\"Change to browse by:\\\\\\\"\\\\n            - generic [ref=e114]:\\\\n              - link \\\\\\\"cs\\\\\\\" [ref=e115] [cursor=pointer]:\\\\n                - /url: /abs/1909.11942?context=cs\\\\n              - link \\\\\\\"cs.AI\\\\\\\" [ref=e116] [cursor=pointer]:\\\\n                - /url: /abs/1909.11942?context=cs.AI\\\\n        - generic [ref=e117]:\\\\n          - heading \\\\\\\"References & Citations\\\\\\\" [level=3] [ref=e118]\\\\n          - list [ref=e119]:\\\\n            - listitem [ref=e120]:\\\\n              - link \\\\\\\"NASA ADS\\\\\\\" [ref=e121] [cursor=pointer]:\\\\n                - /url: https://ui.adsabs.harvard.edu/abs/arXiv:1909.11942\\\\n            - listitem [ref=e122]:\\\\n              - link \\\\\\\"Google Scholar\\\\\\\" [ref=e123] [cursor=pointer]:\\\\n                - /url: https://scholar.google.com/scholar_lookup?arxiv_id=1909.11942\\\\n            - listitem [ref=e124]:\\\\n              - link \\\\\\\"Semantic Scholar\\\\\\\" [ref=e125] [cursor=pointer]:\\\\n                - /url: https://api.semanticscholar.org/arXiv:1909.11942\\\\n        - generic [ref=e127]:\\\\n          - heading \\\\\\\"8 blog links\\\\\\\" [level=3] [ref=e128]:\\\\n            - link \\\\\\\"8 blog links\\\\\\\" [ref=e129] [cursor=pointer]:\\\\n              - /url: /tb/1909.11942\\\\n          - text: (\\\\n          - link \\\\\\\"what is this?\\\\\\\" [ref=e130] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/help/trackback.html\\\\n          - text: )\\\\n        - generic [ref=e131]:\\\\n          - heading \\\\\\\"DBLP - CS Bibliography\\\\\\\" [level=3] [ref=e132]:\\\\n            - link \\\\\\\"DBLP\\\\\\\" [ref=e133] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de\\\\n            - text: \\\\\\\"- CS Bibliography\\\\\\\"\\\\n          - generic [ref=e134]:\\\\n            - link \\\\\\\"listing\\\\\\\" [ref=e135] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-11942\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"bibtex\\\\\\\" [ref=e136] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/rec/bibtex/journals/corr/abs-1909-11942\\\\n          - generic [ref=e137]:\\\\n            - link \\\\\\\"Zhenzhong Lan\\\\\\\" [ref=e138] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Zhenzhong%20Lan\\\\n            - link \\\\\\\"Mingda Chen\\\\\\\" [ref=e139] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Mingda%20Chen\\\\n            - link \\\\\\\"Sebastian Goodman\\\\\\\" [ref=e140] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Sebastian%20Goodman\\\\n            - link \\\\\\\"Kevin Gimpel\\\\\\\" [ref=e141] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Kevin%20Gimpel\\\\n            - link \\\\\\\"Piyush Sharma\\\\\\\" [ref=e142] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Piyush%20Sharma\\\\n            - generic [ref=e143]: \\\\u2026\\\\n        - button \\\\\\\"export BibTeX citation\\\\\\\" [ref=e145]\\\\n        - generic [ref=e146]:\\\\n          - heading \\\\\\\"Bookmark\\\\\\\" [level=3] [ref=e148]\\\\n          - link \\\\\\\"BibSonomy\\\\\\\" [ref=e149] [cursor=pointer]:\\\\n            - /url: \\\\\\\"http://www.bibsonomy.org/BibtexHandler?requTask=upload&url=https://arxiv.org/abs/1909.11942&description=ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\\\\\\\"\\\\n            - img \\\\\\\"BibSonomy\\\\\\\" [ref=e150]\\\\n          - link \\\\\\\"Reddit\\\\\\\" [ref=e151] [cursor=pointer]:\\\\n            - /url: \\\\\\\"https://reddit.com/submit?url=https://arxiv.org/abs/1909.11942&title=ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\\\\\\\"\\\\n            - img \\\\\\\"Reddit\\\\\\\" [ref=e152]\\\\n      - tablist \\\\\\\"arXivLabs tools\\\\\\\" [ref=e154]:\\\\n        - radio \\\\\\\"Bibliographic Tools\\\\\\\" [checked] [ref=e155]\\\\n        - tab \\\\\\\"Bibliographic Tools\\\\\\\" [selected] [ref=e156] [cursor=pointer]\\\\n        - tabpanel \\\\\\\"Bibliographic Tools\\\\\\\" [ref=e157]:\\\\n          - heading \\\\\\\"Bibliographic and Citation Tools\\\\\\\" [level=1] [ref=e158]\\\\n          - generic [ref=e159]:\\\\n            - generic [ref=e160]:\\\\n              - generic [ref=e162]:\\\\n                - checkbox \\\\\\\"Bibliographic Explorer Toggle\\\\\\\"\\\\n                - generic [ref=e164]: Bibliographic Explorer Toggle\\\\n              - generic [ref=e165]:\\\\n                - text: Bibliographic Explorer\\\\n                - emphasis [ref=e166]:\\\\n                  - text: (\\\\n                  - link \\\\\\\"What is the Explorer?\\\\\\\" [ref=e167] [cursor=pointer]:\\\\n                    - /url: https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer\\\\n                  - text: )\\\\n            - generic [ref=e168]:\\\\n              - generic [ref=e170]:\\\\n                - checkbox \\\\\\\"Connected Papers\\\\\\\"\\\\n                - generic [ref=e172]: Connected Papers Toggle\\\\n              - generic [ref=e173]:\\\\n                - text: Connected Papers\\\\n                - emphasis [ref=e174]:\\\\n                  - text: (\\\\n                  - link \\\\\\\"What is Connected Papers?\\\\\\\" [ref=e175] [cursor=pointer]:\\\\n                    - /url: https://www.connectedpapers.com/about\\\\n                  - text: )\\\\n            - generic [ref=e176]:\\\\n              - generic [ref=e178]:\\\\n                - 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+        "text": "Zhenzhong Lan",
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+    "status": "completed",
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synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_152/execution.log

@@ -0,0 +1,29 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://arxiv.org/abs/1409.1556"}
+| browser_snapshot {}
+Karen Simonyan

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_152/messages.json

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+[
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+    "role": "user"
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+    "arguments": "{\"url\": \"https://arxiv.org/abs/1409.1556\"}",
+    "call_id": "call_00_jmxU0R6Be7MOkqVwpPrJ3423",
+    "name": "browser_navigate",
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+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1409.1556');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1409.1556\\\\n- Page Title: [1409.1556] Very Deep Convolutional Networks for Large-Scale Image Recognition\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-15-09-706Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
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+    "id": "__fake_id__"
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+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1409.1556\\\\n- Page Title: [1409.1556] Very Deep Convolutional Networks for Large-Scale Image Recognition\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - link \\\\\\\"Learn about arXiv becoming an independent nonprofit.\\\\\\\" [ref=e10] [cursor=pointer]:\\\\n        - /url: https://tech.cornell.edu/arxiv/\\\\n      - generic [ref=e11]:\\\\n        - generic [ref=e12]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e13] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e14] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e15]:\\\\n      - generic [ref=e16]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e17] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e18]\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e20] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e21]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1409.1556\\\\n      - generic [ref=e24]:\\\\n        - generic [ref=e25]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e26]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e27]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e28] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e29] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e31]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e32] [cursor=pointer]\\\\n  - main [ref=e33]:\\\\n    - generic [ref=e35]:\\\\n      - generic [ref=e36]:\\\\n        - heading \\\\\\\"Computer Science > Computer Vision and Pattern Recognition\\\\\\\" [level=1] [ref=e38]\\\\n        - generic [ref=e40]:\\\\n          - generic [ref=e41]:\\\\n            - text: \\\\\\\"[Submitted on 4 Sep 2014 (\\\\\\\"\\\\n            - link \\\\\\\"v1\\\\\\\" [ref=e42] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/abs/1409.1556v1\\\\n            - text: ), last revised 10 Apr 2015 (this version, v6)]\\\\n          - heading \\\\\\\"Very Deep Convolutional Networks for Large-Scale Image Recognition\\\\\\\" [level=1] [ref=e43]\\\\n          - generic [ref=e44]:\\\\n            - link \\\\\\\"Karen Simonyan\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Simonyan,+K\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Andrew Zisserman\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Zisserman,+A\\\\n          - blockquote [ref=e47]: In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of increasing depth using an architecture with very small (3x3) convolution filters, which shows that a significant improvement on the prior-art configurations can be achieved by pushing the depth to 16-19 weight layers. These findings were the basis of our ImageNet Challenge 2014 submission, where our team secured the first and the second places in the localisation and classification tracks respectively. We also show that our representations generalise well to other datasets, where they achieve state-of-the-art results. We have made our two best-performing ConvNet models publicly available to facilitate further research on the use of deep visual representations in computer vision.\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e49]:\\\\n            - rowgroup [ref=e50]:\\\\n              - 'row \\\\\\\"Subjects: Computer Vision and Pattern Recognition (cs.CV)\\\\\\\" [ref=e51]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e52]\\\\n                - cell \\\\\\\"Computer Vision and Pattern Recognition (cs.CV)\\\\\\\" [ref=e53]\\\\n              - 'row \\\\\\\"Cite as: arXiv:1409.1556 [cs.CV]\\\\\\\" [ref=e54]':\\\\n                - cell \\\\\\\"Cite as:\\\\\\\" [ref=e55]\\\\n                - cell \\\\\\\"arXiv:1409.1556 [cs.CV]\\\\\\\" [ref=e56]:\\\\n                  - generic [ref=e57]:\\\\n                    - link \\\\\\\"arXiv:1409.1556\\\\\\\" [ref=e58] [cursor=pointer]:\\\\n                      - /url: https://arxiv.org/abs/1409.1556\\\\n                    - text: \\\\\\\"[cs.CV]\\\\\\\"\\\\n              - 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+  {
+    "id": "__fake_id__",
+    "content": [
+      {
+        "annotations": [],
+        "text": "Karen Simonyan",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  }
+]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_152/result.json

@@ -0,0 +1,19 @@
+{
+  "category": "synth_web_search_fact_152",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...6eda",
+  "success": true,
+  "verify_rc": 0,
+  "verify_stdout": "\u2705 correct answer: Karen Simonyan\n\ud83c\udf89 All checks passed!",
+  "verify_stderr": "",
+  "turn_count": 3,
+  "token_usage": {
+    "input_tokens": 18080,
+    "output_tokens": 174,
+    "total_tokens": 18254,
+    "reasoning_tokens": 81
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 9.071454048156738
+}

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_173/execution.log

@@ -0,0 +1,29 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://arxiv.org/abs/1506.06579"}
+| browser_snapshot {}
+Understanding Neural Networks Through Deep Visualization

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_173/messages.json

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+[
+  {
+    "content": "Please use Playwright MCP tools to finish the following task:\n\n### Task: Look up a paper on arXiv\n\nOpen this page in the browser: https://arxiv.org/abs/1506.06579\n\nThen provide the precise title of the paper..\n\nYour final reply must contain ONLY that value — no preamble, labels, units, or extra words.\n\nUse Playwright MCP tools to complete this web task.",
+    "role": "user"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/abs/1506.06579\"}",
+    "call_id": "call_00_mntjJ0nuBZ2m15N4LLAT5167",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
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+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1506.06579');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1506.06579\\\\n- Page Title: [1506.06579] Understanding Neural Networks Through Deep Visualization\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-15-45-741Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
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+    "call_id": "call_00_y6VhL05RFN1qWPJy54Cl2517",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
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+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1506.06579\\\\n- Page Title: [1506.06579] Understanding Neural Networks Through Deep Visualization\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - link \\\\\\\"Learn about arXiv becoming an independent nonprofit.\\\\\\\" [ref=e10] [cursor=pointer]:\\\\n        - /url: https://tech.cornell.edu/arxiv/\\\\n      - generic [ref=e11]:\\\\n        - generic [ref=e12]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e13] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e14] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e15]:\\\\n      - generic [ref=e16]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e17] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e18]\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e20] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e21]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1506.06579\\\\n      - generic [ref=e24]:\\\\n        - generic [ref=e25]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e26]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e27]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e28] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e29] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e31]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e32] [cursor=pointer]\\\\n  - main [ref=e33]:\\\\n    - generic [ref=e35]:\\\\n      - generic [ref=e36]:\\\\n        - heading \\\\\\\"Computer Science > Computer Vision and Pattern Recognition\\\\\\\" [level=1] [ref=e38]\\\\n        - generic [ref=e40]:\\\\n          - generic [ref=e41]: \\\\\\\"[Submitted on 22 Jun 2015]\\\\\\\"\\\\n          - heading \\\\\\\"Understanding Neural Networks Through Deep Visualization\\\\\\\" [level=1] [ref=e42]\\\\n          - generic [ref=e43]:\\\\n            - link \\\\\\\"Jason Yosinski\\\\\\\" [ref=e44] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Yosinski,+J\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Jeff Clune\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Clune,+J\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Anh Nguyen\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Nguyen,+A\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Thomas Fuchs\\\\\\\" [ref=e47] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Fuchs,+T\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Hod Lipson\\\\\\\" [ref=e48] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Lipson,+H\\\\n          - blockquote [ref=e49]: Recent years have produced great advances in training large, deep neural networks (DNNs), including notable successes in training convolutional neural networks (convnets) to recognize natural images. However, our understanding of how these models work, especially what computations they perform at intermediate layers, has lagged behind. Progress in the field will be further accelerated by the development of better tools for visualizing and interpreting neural nets. We introduce two such tools here. The first is a tool that visualizes the activations produced on each layer of a trained convnet as it processes an image or video (e.g. a live webcam stream). We have found that looking at live activations that change in response to user input helps build valuable intuitions about how convnets work. The second tool enables visualizing features at each layer of a DNN via regularized optimization in image space. Because previous versions of this idea produced less recognizable images, here we introduce several new regularization methods that combine to produce qualitatively clearer, more interpretable visualizations. Both tools are open source and work on a pre-trained convnet with minimal setup.\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e51]:\\\\n            - rowgroup [ref=e52]:\\\\n              - 'row \\\\\\\"Comments: 12 pages. To appear at ICML Deep Learning Workshop 2015\\\\\\\" [ref=e53]':\\\\n                - cell \\\\\\\"Comments:\\\\\\\" [ref=e54]\\\\n                - cell \\\\\\\"12 pages. To appear at ICML Deep Learning Workshop 2015\\\\\\\" [ref=e55]\\\\n              - 'row \\\\\\\"Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)\\\\\\\" [ref=e56]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e57]\\\\n                - cell \\\\\\\"Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)\\\\\\\" [ref=e58]\\\\n              - 'row \\\\\\\"Cite as: arXiv:1506.06579 [cs.CV]\\\\\\\" [ref=e59]':\\\\n                - cell \\\\\\\"Cite as:\\\\\\\" [ref=e60]\\\\n                - cell \\\\\\\"arXiv:1506.06579 [cs.CV]\\\\\\\" [ref=e61]:\\\\n                  - generic [ref=e62]:\\\\n                    - link \\\\\\\"arXiv:1506.06579\\\\\\\" [ref=e63] [cursor=pointer]:\\\\n                      - /url: https://arxiv.org/abs/1506.06579\\\\n                    - text: \\\\\\\"[cs.CV]\\\\\\\"\\\\n              - row \\\\\\\"(or arXiv:1506.06579v1 [cs.CV] for this version)\\\\\\\" [ref=e64]:\\\\n                - 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generic [ref=e76]: Focus to learn more\\\\n        - generic [ref=e77]:\\\\n          - heading \\\\\\\"Submission history\\\\\\\" [level=2] [ref=e78]\\\\n          - text: \\\\\\\"From: Jason Yosinski [\\\\\\\"\\\\n          - link \\\\\\\"view email\\\\\\\" [ref=e79] [cursor=pointer]:\\\\n            - /url: /show-email/1c03041f/1506.06579\\\\n          - text: \\\\\\\"]\\\\\\\"\\\\n          - strong [ref=e80]: \\\\\\\"[v1]\\\\\\\"\\\\n          - text: Mon, 22 Jun 2015 12:57:15 UTC (8,509 KB)\\\\n      - generic [ref=e81]:\\\\n        - generic [ref=e82]:\\\\n          - heading \\\\\\\"Access Paper:\\\\\\\" [level=2] [ref=e83]\\\\n          - list [ref=e84]:\\\\n            - listitem [ref=e85]:\\\\n              - link \\\\\\\"View PDF\\\\\\\" [ref=e86] [cursor=pointer]:\\\\n                - /url: /pdf/1506.06579\\\\n            - listitem [ref=e87]:\\\\n              - link \\\\\\\"TeX Source\\\\\\\" [ref=e88] [cursor=pointer]:\\\\n                - /url: /src/1506.06579\\\\n          - 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/url: https://info.arxiv.org/help\\\\n        - list [ref=e210]:\\\\n          - listitem [ref=e211]:\\\\n            - link \\\\\\\"Contact\\\\\\\" [ref=e213] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/contact.html\\\\n          - listitem [ref=e214]:\\\\n            - link \\\\\\\"Subscribe\\\\\\\" [ref=e216] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/subscribe\\\\n      - generic [ref=e218]:\\\\n        - list [ref=e220]:\\\\n          - listitem [ref=e221]:\\\\n            - link \\\\\\\"Copyright\\\\\\\" [ref=e222] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/license/index.html\\\\n          - listitem [ref=e223]:\\\\n            - link \\\\\\\"Privacy Policy\\\\\\\" [ref=e224] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/policies/privacy_policy.html\\\\n        - list [ref=e226]:\\\\n          - listitem [ref=e227]:\\\\n            - link \\\\\\\"Web Accessibility Assistance\\\\\\\" [ref=e228] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/web_accessibility.html\\\\n          - listitem [ref=e229]:\\\\n            - paragraph [ref=e230]:\\\\n              - link \\\\\\\"arXiv Operational Status\\\\\\\" [ref=e231] [cursor=pointer]:\\\\n                - /url: https://status.arxiv.org\\\\n                - text: arXiv Operational Status\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "id": "__fake_id__",
+    "content": [
+      {
+        "annotations": [],
+        "text": "Understanding Neural Networks Through Deep Visualization",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  }
+]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_173/result.json

@@ -0,0 +1,19 @@
+{
+  "category": "synth_web_search_fact_173",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...5ffa",
+  "success": true,
+  "verify_rc": 0,
+  "verify_stdout": "\u2705 correct answer: Understanding Neural Networks Through Deep Visualization\n\ud83c\udf89 All checks passed!",
+  "verify_stderr": "",
+  "turn_count": 3,
+  "token_usage": {
+    "input_tokens": 18255,
+    "output_tokens": 176,
+    "total_tokens": 18431,
+    "reasoning_tokens": 81
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 11.548717021942139
+}

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_199/execution.log

@@ -0,0 +1,37 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://arxiv.org/search/?searchtype=all&query=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations"}
+| browser_snapshot {}
+| browser_navigate {"url": "https://www.google.com/search?q=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations+arxiv"}
+| browser_navigate {"url": "https://duckduckgo.com/?q=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations+arxiv"}
+| browser_navigate {"url": "https://arxiv.org/abs/1909.11942"}
+| browser_snapshot {}
+| browser_evaluate {"function": "() => {\n  const blockquote = document.querySelector('blockquote.abstract');\n  if (blockquote) return blockquote.innerText;\n  // fallback: find the abstract blockquote\n  const allBlockquotes = document.querySelectorAll('blockquote');\n  for (const bq of allBlockquotes) {\n    if (bq.innerText.includes('Increasing model size')) return bq.innerText;\n  }\n  return 'not found';\n}"}
+| browser_evaluate {"function": "() => {\n  const blockquote = document.querySelector('blockquote.abstract');\n  if (!blockquote) return 'not found';\n  return blockquote.textContent;\n}"}
+| browser_take_screenshot {"target": "e51","type": "png"}
+| browser_evaluate {"function": "() => {\n  const blockquote = document.querySelector('blockquote.abstract');\n  if (!blockquote) return 'not found';\n  // Get the text as rendered, including MathJax\n  return blockquote.innerText;\n}"}
+Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations and longer training times. To address these problems, we present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT. Comprehensive empirical evidence shows that our proposed methods lead to models that scale much better compared to the original BERT. We also use a self-supervised loss that focuses on modeling inter-sentence coherence, and show it consistently helps downstream tasks with multi-sentence inputs. As a result, our best model establishes new state-of-the-art results on the GLUE, RACE, and SQuAD benchmarks while having fewer parameters compared to BERT-large. The code and the pretrained models are available at https://github.com/google-research/ALBERT.

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_199/messages.json

@@ -0,0 +1,139 @@
+[
+  {
+    "content": "Please use Playwright MCP tools to finish the following task:\n\n### Task: Look up a paper on arXiv\n\nUse Playwright MCP tools to **search the web** for the arXiv paper titled:\n\n    ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\n\nFind and open its arXiv abstract page (URL of the form `https://arxiv.org/abs/...`).\n\nThen extract the abstract text exactly as written, verbatim..\n\nOutput the Abstract text in Markdown. Your final reply must contain ONLY the Abstract content — no preamble, labels, or commentary.\n\nUse Playwright MCP tools to complete this web task.",
+    "role": "user"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/search/?searchtype=all&query=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations\"}",
+    "call_id": "call_00_2FymQACjFjSASrN73SGZ2104",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_2FymQACjFjSASrN73SGZ2104",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/search/?searchtype=all&query=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/search/?searchtype=all&query=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations\\\\n- Console: 1 errors, 0 warnings\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-16-25-898Z.yml)\\\\n### Events\\\\n- New console entries: .playwright-mcp/console-2026-06-05T09-16-25-268Z.log#L1\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_M86Xxz2FNHIuEObnZvlc3007",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_M86Xxz2FNHIuEObnZvlc3007",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/search/?searchtype=all&query=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations\\\\n- Console: 1 errors, 0 warnings\\\\n### Snapshot\\\\n```yaml\\\\n- generic [active] [ref=e1]: Rate exceeded.\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"url\": \"https://www.google.com/search?q=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations+arxiv\"}",
+    "call_id": "call_00_7kp1bsshnreLNifN9NJ99200",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_7kp1bsshnreLNifN9NJ99200",
+    "output": "{\"type\": \"text\", \"text\": \"Error: Tool call 'browser_navigate' timed out after 60 seconds\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"url\": \"https://duckduckgo.com/?q=ALBERT+A+Lite+BERT+for+Self-supervised+Learning+of+Language+Representations+arxiv\"}",
+    "call_id": "call_00_npVEliejGfBqWlXot9KS0491",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_npVEliejGfBqWlXot9KS0491",
+    "output": "{\"type\": \"text\", \"text\": \"Error: Tool call 'browser_navigate' timed out after 60 seconds\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/abs/1909.11942\"}",
+    "call_id": "call_00_g5wju7XymOLc4KeE71gD1494",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_g5wju7XymOLc4KeE71gD1494",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1909.11942');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1909.11942\\\\n- Page Title: [1909.11942] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-18-36-313Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_rZVAfml30CP5Wm73ZINL0543",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_rZVAfml30CP5Wm73ZINL0543",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1909.11942\\\\n- Page Title: [1909.11942] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - link \\\\\\\"Learn about arXiv becoming an independent nonprofit.\\\\\\\" [ref=e10] [cursor=pointer]:\\\\n        - /url: https://tech.cornell.edu/arxiv/\\\\n      - generic [ref=e11]:\\\\n        - generic [ref=e12]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e13] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e14] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e15]:\\\\n      - generic [ref=e16]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e17] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e18]\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e20] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e21]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1909.11942\\\\n      - generic [ref=e24]:\\\\n        - generic [ref=e25]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e26]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e27]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e28] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e29] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e31]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e32] [cursor=pointer]\\\\n  - main [ref=e33]:\\\\n    - generic [ref=e35]:\\\\n      - generic [ref=e36]:\\\\n        - heading \\\\\\\"Computer Science > Computation and Language\\\\\\\" [level=1] [ref=e38]\\\\n        - generic [ref=e40]:\\\\n          - generic [ref=e41]:\\\\n            - text: \\\\\\\"[Submitted on 26 Sep 2019 (\\\\\\\"\\\\n            - link \\\\\\\"v1\\\\\\\" [ref=e42] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/abs/1909.11942v1\\\\n            - text: ), last revised 9 Feb 2020 (this version, v6)]\\\\n          - 'heading \\\\\\\"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations\\\\\\\" [level=1] [ref=e43]'\\\\n          - generic [ref=e44]:\\\\n            - link \\\\\\\"Zhenzhong Lan\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Lan,+Z\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Mingda Chen\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Chen,+M\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Sebastian Goodman\\\\\\\" [ref=e47] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Goodman,+S\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Kevin Gimpel\\\\\\\" [ref=e48] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Gimpel,+K\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Piyush Sharma\\\\\\\" [ref=e49] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Sharma,+P\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Radu Soricut\\\\\\\" [ref=e50] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Soricut,+R\\\\n          - blockquote [ref=e51]:\\\\n            - text: Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations and longer training times. To address these problems, we present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT. Comprehensive empirical evidence shows that our proposed methods lead to models that scale much better compared to the original BERT. We also use a self-supervised loss that focuses on modeling inter-sentence coherence, and show it consistently helps downstream tasks with multi-sentence inputs. As a result, our best model establishes new state-of-the-art results on the GLUE, RACE, and \\\\\\\\squad benchmarks while having fewer parameters compared to BERT-large. The code and the pretrained models are available at\\\\n            - link \\\\\\\"this https URL\\\\\\\" [ref=e52] [cursor=pointer]:\\\\n              - /url: https://github.com/google-research/ALBERT\\\\n            - text: .\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e54]:\\\\n            - rowgroup [ref=e55]:\\\\n              - 'row \\\\\\\"Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)\\\\\\\" [ref=e56]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e57]\\\\n                - cell \\\\\\\"Computation and Language (cs.CL); Artificial Intelligence (cs.AI)\\\\\\\" [ref=e58]\\\\n              - 'row \\\\\\\"Cite as: arXiv:1909.11942 [cs.CL]\\\\\\\" [ref=e59]':\\\\n                - cell \\\\\\\"Cite as:\\\\\\\" [ref=e60]\\\\n                - cell \\\\\\\"arXiv:1909.11942 [cs.CL]\\\\\\\" [ref=e61]:\\\\n                  - generic [ref=e62]:\\\\n                    - link \\\\\\\"arXiv:1909.11942\\\\\\\" [ref=e63] [cursor=pointer]:\\\\n                      - 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+    "call_id": "call_00_6CcDIn0vyimSGEWVy1dW7115",
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+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Result\\\\n\\\\\\\"Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations and longer training times. To address these problems, we present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT. Comprehensive empirical evidence shows that our proposed methods lead to models that scale much better compared to the original BERT. We also use a self-supervised loss that focuses on modeling inter-sentence coherence, and show it consistently helps downstream tasks with multi-sentence inputs. As a result, our best model establishes new state-of-the-art results on the GLUE, RACE, and \\\\\\\\\\\\\\\\squad benchmarks while having fewer parameters compared to BERT-large. The code and the pretrained models are available at this https URL.\\\\\\\"\\\\n### Ran Playwright code\\\\n```js\\\\nawait page.evaluate('() => {\\\\\\\\n  const blockquote = document.querySelector(\\\\\\\\'blockquote.abstract\\\\\\\\');\\\\\\\\n  if (blockquote) return blockquote.innerText;\\\\\\\\n  // fallback: find the abstract blockquote\\\\\\\\n  const allBlockquotes = document.querySelectorAll(\\\\\\\\'blockquote\\\\\\\\');\\\\\\\\n  for (const bq of allBlockquotes) {\\\\\\\\n    if (bq.innerText.includes(\\\\\\\\'Increasing model size\\\\\\\\')) return bq.innerText;\\\\\\\\n  }\\\\\\\\n  return \\\\\\\\'not found\\\\\\\\';\\\\\\\\n}');\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
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+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Result\\\\n\\\\\\\"\\\\\\\\n            Abstract:Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations and longer training times. To address these problems, we present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT. Comprehensive empirical evidence shows that our proposed methods lead to models that scale much better compared to the original BERT. We also use a self-supervised loss that focuses on modeling inter-sentence coherence, and show it consistently helps downstream tasks with multi-sentence inputs. As a result, our best model establishes new state-of-the-art results on the GLUE, RACE, and \\\\\\\\\\\\\\\\squad benchmarks while having fewer parameters compared to BERT-large. The code and the pretrained models are available at this https URL.\\\\\\\\n    \\\\\\\"\\\\n### Ran Playwright code\\\\n```js\\\\nawait page.evaluate('() => {\\\\\\\\n  const blockquote = document.querySelector(\\\\\\\\'blockquote.abstract\\\\\\\\');\\\\\\\\n  if (!blockquote) return \\\\\\\\'not found\\\\\\\\';\\\\\\\\n  return blockquote.textContent;\\\\\\\\n}');\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
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+    "call_id": "call_00_90BeR3FHf4KY6z1zYfDO4103",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Result\\\\n- [Screenshot of element](.playwright-mcp/element-2026-06-05T09-19-02-860Z.png)\\\\n### Ran Playwright code\\\\n```js\\\\n// Screenshot element and save it as .playwright-mcp/element-2026-06-05T09-19-02-860Z.png\\\\nawait page.getByText('Abstract:Increasing model').screenshot({\\\\n  path: '.playwright-mcp/element-2026-06-05T09-19-02-860Z.png',\\\\n  scale: 'css',\\\\n  type: 'png'\\\\n});\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}, {\\\"type\\\": \\\"image\\\", \\\"data\\\": 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\\\", \\\"mimeType\\\": \\\"image/png\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"function\": \"() => {\\n  const blockquote = document.querySelector('blockquote.abstract');\\n  if (!blockquote) return 'not found';\\n  // Get the text as rendered, including MathJax\\n  return blockquote.innerText;\\n}\"}",
+    "call_id": "call_00_K5haJu96ISYSzYlc2SiY3008",
+    "name": "browser_evaluate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_K5haJu96ISYSzYlc2SiY3008",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Result\\\\n\\\\\\\"Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations and longer training times. To address these problems, we present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT. Comprehensive empirical evidence shows that our proposed methods lead to models that scale much better compared to the original BERT. We also use a self-supervised loss that focuses on modeling inter-sentence coherence, and show it consistently helps downstream tasks with multi-sentence inputs. As a result, our best model establishes new state-of-the-art results on the GLUE, RACE, and \\\\\\\\\\\\\\\\squad benchmarks while having fewer parameters compared to BERT-large. The code and the pretrained models are available at this https URL.\\\\\\\"\\\\n### Ran Playwright code\\\\n```js\\\\nawait page.evaluate('() => {\\\\\\\\n  const blockquote = document.querySelector(\\\\\\\\'blockquote.abstract\\\\\\\\');\\\\\\\\n  if (!blockquote) return \\\\\\\\'not found\\\\\\\\';\\\\\\\\n  // Get the text as rendered, including MathJax\\\\\\\\n  return blockquote.innerText;\\\\\\\\n}');\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "id": "__fake_id__",
+    "content": [
+      {
+        "annotations": [],
+        "text": "Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations and longer training times. To address these problems, we present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT. Comprehensive empirical evidence shows that our proposed methods lead to models that scale much better compared to the original BERT. We also use a self-supervised loss that focuses on modeling inter-sentence coherence, and show it consistently helps downstream tasks with multi-sentence inputs. As a result, our best model establishes new state-of-the-art results on the GLUE, RACE, and SQuAD benchmarks while having fewer parameters compared to BERT-large. The code and the pretrained models are available at https://github.com/google-research/ALBERT.",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  }
+]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_199/result.json

@@ -0,0 +1,19 @@
+{
+  "category": "synth_web_search_fact_199",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...2aca",
+  "success": false,
+  "verify_rc": 1,
+  "verify_stdout": "\u274c abstract mismatch; expected starts: 'Increasing model size when pretraining natural language representations often results in improved performance on downstr'; got starts: 'Increasing model size when pretraining natural language representations often results in improved performance on downstr'",
+  "verify_stderr": "",
+  "turn_count": 11,
+  "token_usage": {
+    "input_tokens": 171837,
+    "output_tokens": 2690,
+    "total_tokens": 174527,
+    "reasoning_tokens": 1782
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 186.5203676223755
+}

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_232/execution.log

@@ -0,0 +1,34 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://arxiv.org/search/"}
+| browser_snapshot {}
+Let me try searching via a different approach.
+| browser_navigate {"url": "https://www.google.com/search?q=MobileNetV2+Inverted+Residuals+and+Linear+Bottlenecks+arxiv"}
+Let me try directly navigating to the known arXiv ID for this paper.
+| browser_navigate {"url": "https://arxiv.org/abs/1801.04381"}
+| browser_snapshot {}
+2018

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_232/messages.json

@@ -0,0 +1,105 @@
+[
+  {
+    "content": "Please use Playwright MCP tools to finish the following task:\n\n### Task: Look up a paper on arXiv\n\nUse Playwright MCP tools to **search the web** for the arXiv paper titled:\n\n    MobileNetV2: Inverted Residuals and Linear Bottlenecks\n\nFind and open its arXiv abstract page (URL of the form `https://arxiv.org/abs/...`).\n\nThen provide the year of the paper's initial submission using exactly 4 digits..\n\nYour final reply must contain ONLY that value — no preamble, labels, units, or extra words.\n\nUse Playwright MCP tools to complete this web task.",
+    "role": "user"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/search/\"}",
+    "call_id": "call_00_QaCIgPuMNZLgHHXTZO7M1188",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_QaCIgPuMNZLgHHXTZO7M1188",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/search/');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/search/\\\\n- Console: 1 errors, 0 warnings\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-17-24-520Z.yml)\\\\n### Events\\\\n- New console entries: .playwright-mcp/console-2026-06-05T09-17-23-794Z.log#L1\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_f9quf0bXzbiSShj231re4605",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_f9quf0bXzbiSShj231re4605",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/search/\\\\n- Console: 1 errors, 0 warnings\\\\n### Snapshot\\\\n```yaml\\\\n- generic [active] [ref=e1]: Rate exceeded.\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "id": "__fake_id__",
+    "content": [
+      {
+        "annotations": [],
+        "text": "Let me try searching via a different approach.",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  },
+  {
+    "arguments": "{\"url\": \"https://www.google.com/search?q=MobileNetV2+Inverted+Residuals+and+Linear+Bottlenecks+arxiv\"}",
+    "call_id": "call_00_vIe5CTkekaXqkgs5m4VF4502",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_vIe5CTkekaXqkgs5m4VF4502",
+    "output": "{\"type\": \"text\", \"text\": \"Error: Tool call 'browser_navigate' timed out after 60 seconds\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "id": "__fake_id__",
+    "content": [
+      {
+        "annotations": [],
+        "text": "Let me try directly navigating to the known arXiv ID for this paper.",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/abs/1801.04381\"}",
+    "call_id": "call_00_6fjxubgFTCJSp2K6klwi3199",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_6fjxubgFTCJSp2K6klwi3199",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1801.04381');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1801.04381\\\\n- Page Title: [1801.04381] MobileNetV2: Inverted Residuals and Linear Bottlenecks\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-18-33-998Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_QH2toUiLwfnvQ4rrCUe30375",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_QH2toUiLwfnvQ4rrCUe30375",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1801.04381\\\\n- Page Title: [1801.04381] MobileNetV2: Inverted Residuals and Linear Bottlenecks\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - link \\\\\\\"Learn about arXiv becoming an independent nonprofit.\\\\\\\" [ref=e10] [cursor=pointer]:\\\\n        - /url: https://tech.cornell.edu/arxiv/\\\\n      - generic [ref=e11]:\\\\n        - generic [ref=e12]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e13] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e14] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e15]:\\\\n      - generic [ref=e16]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e17] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e18]\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e20] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e21]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1801.04381\\\\n      - generic [ref=e24]:\\\\n        - generic [ref=e25]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e26]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e27]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e28] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e29] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e31]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e32] [cursor=pointer]\\\\n  - main [ref=e33]:\\\\n    - generic [ref=e35]:\\\\n      - generic [ref=e36]:\\\\n        - heading \\\\\\\"Computer Science > Computer Vision and Pattern Recognition\\\\\\\" [level=1] [ref=e38]\\\\n        - generic [ref=e40]:\\\\n          - generic [ref=e41]:\\\\n            - text: \\\\\\\"[Submitted on 13 Jan 2018 (\\\\\\\"\\\\n            - link \\\\\\\"v1\\\\\\\" [ref=e42] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/abs/1801.04381v1\\\\n            - text: ), last revised 21 Mar 2019 (this version, v4)]\\\\n          - 'heading \\\\\\\"MobileNetV2: Inverted Residuals and Linear Bottlenecks\\\\\\\" [level=1] [ref=e43]'\\\\n          - generic [ref=e44]:\\\\n            - link \\\\\\\"Mark Sandler\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Sandler,+M\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Andrew Howard\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Howard,+A\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Menglong Zhu\\\\\\\" [ref=e47] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Zhu,+M\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Andrey Zhmoginov\\\\\\\" [ref=e48] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Zhmoginov,+A\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Liang-Chieh Chen\\\\\\\" [ref=e49] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Chen,+L\\\\n          - blockquote [ref=e50]:\\\\n            - text: In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes. We also describe efficient ways of applying these mobile models to object detection in a novel framework we call SSDLite. Additionally, we demonstrate how to build mobile semantic segmentation models through a reduced form of DeepLabv3 which we call Mobile DeepLabv3.\\\\n            - text: The MobileNetV2 architecture is based on an inverted residual structure where the input and output of the residual block are thin bottleneck layers opposite to traditional residual models which use expanded representations in the input an MobileNetV2 uses lightweight depthwise convolutions to filter features in the intermediate expansion layer. Additionally, we find that it is important to remove non-linearities in the narrow layers in order to maintain representational power. We demonstrate that this improves performance and provide an intuition that led to this design. Finally, our approach allows decoupling of the input/output domains from the expressiveness of the transformation, which provides a convenient framework for further analysis. We measure our performance on Imagenet classification, COCO object detection, VOC image segmentation. We evaluate the trade-offs between accuracy, and number of operations measured by multiply-adds (MAdd), as well as the number of parameters\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e52]:\\\\n            - rowgroup [ref=e53]:\\\\n              - 'row \\\\\\\"Subjects: Computer Vision and Pattern Recognition (cs.CV)\\\\\\\" [ref=e54]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e55]\\\\n                - cell \\\\\\\"Computer Vision and Pattern Recognition (cs.CV)\\\\\\\" [ref=e56]\\\\n              - 'row \\\\\\\"Cite as: arXiv:1801.04381 [cs.CV]\\\\\\\" [ref=e57]':\\\\n                - cell \\\\\\\"Cite as:\\\\\\\" [ref=e58]\\\\n                - cell \\\\\\\"arXiv:1801.04381 [cs.CV]\\\\\\\" [ref=e59]:\\\\n                  - generic [ref=e60]:\\\\n                    - link \\\\\\\"arXiv:1801.04381\\\\\\\" [ref=e61] [cursor=pointer]:\\\\n                      - /url: https://arxiv.org/abs/1801.04381\\\\n                    - text: \\\\\\\"[cs.CV]\\\\\\\"\\\\n              - row \\\\\\\"(or arXiv:1801.04381v4 [cs.CV] for this version)\\\\\\\" [ref=e62]:\\\\n                - cell [ref=e63]\\\\n                - cell \\\\\\\"(or arXiv:1801.04381v4 [cs.CV] for this version)\\\\\\\" [ref=e64]:\\\\n                  - text: (or\\\\n                  - generic [ref=e65]:\\\\n                    - link \\\\\\\"arXiv:1801.04381v4\\\\\\\" [ref=e66] [cursor=pointer]:\\\\n                      - /url: https://arxiv.org/abs/1801.04381v4\\\\n                    - text: \\\\\\\"[cs.CV]\\\\\\\"\\\\n                  - text: for this version)\\\\n              - row \\\\\\\"https://doi.org/10.48550/arXiv.1801.04381 Focus to learn more\\\\\\\" [ref=e67]:\\\\n                - cell [ref=e68]\\\\n                - cell \\\\\\\"https://doi.org/10.48550/arXiv.1801.04381 Focus to learn more\\\\\\\" [ref=e69]:\\\\n                  - link \\\\\\\"https://doi.org/10.48550/arXiv.1801.04381\\\\\\\" [ref=e70] [cursor=pointer]:\\\\n                    - /url: https://doi.org/10.48550/arXiv.1801.04381\\\\n                  - button \\\\\\\"Focus to learn more\\\\\\\" [ref=e72]:\\\\n                    - generic [ref=e74]: Focus to learn more\\\\n              - 'row \\\\\\\"Journal reference: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 4510-4520\\\\\\\" [ref=e75]':\\\\n                - cell \\\\\\\"Journal reference:\\\\\\\" [ref=e76]\\\\n                - cell \\\\\\\"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 4510-4520\\\\\\\" [ref=e77]\\\\n        - generic [ref=e78]:\\\\n          - heading \\\\\\\"Submission history\\\\\\\" [level=2] [ref=e79]\\\\n          - text: \\\\\\\"From: Mark Sandler [\\\\\\\"\\\\n          - link \\\\\\\"view email\\\\\\\" [ref=e80] [cursor=pointer]:\\\\n            - /url: /show-email/ad0f4b7c/1801.04381\\\\n          - text: \\\\\\\"]\\\\\\\"\\\\n          - strong [ref=e81]:\\\\n            - link \\\\\\\"[v1]\\\\\\\" [ref=e82] [cursor=pointer]:\\\\n              - /url: /abs/1801.04381v1\\\\n          - text: Sat, 13 Jan 2018 04:46:26 UTC (1,553 KB)\\\\n          - strong [ref=e83]:\\\\n            - link \\\\\\\"[v2]\\\\\\\" [ref=e84] [cursor=pointer]:\\\\n              - /url: /abs/1801.04381v2\\\\n          - text: Tue, 16 Jan 2018 01:59:36 UTC (1,553 KB)\\\\n          - strong [ref=e85]:\\\\n            - link \\\\\\\"[v3]\\\\\\\" [ref=e86] [cursor=pointer]:\\\\n              - /url: /abs/1801.04381v3\\\\n          - text: Mon, 2 Apr 2018 19:35:28 UTC (1,680 KB)\\\\n          - strong [ref=e87]: \\\\\\\"[v4]\\\\\\\"\\\\n          - text: Thu, 21 Mar 2019 19:44:34 UTC (2,842 KB)\\\\n      - generic [ref=e88]:\\\\n        - generic [ref=e89]:\\\\n          - heading \\\\\\\"Access Paper:\\\\\\\" [level=2] [ref=e90]\\\\n          - list [ref=e91]:\\\\n            - listitem [ref=e92]:\\\\n              - link \\\\\\\"View PDF\\\\\\\" [ref=e93] [cursor=pointer]:\\\\n                - /url: /pdf/1801.04381\\\\n            - listitem [ref=e94]:\\\\n              - link \\\\\\\"TeX Source\\\\\\\" [ref=e95] [cursor=pointer]:\\\\n                - /url: /src/1801.04381\\\\n          - link \\\\\\\"view license\\\\\\\" [ref=e97] [cursor=pointer]:\\\\n            - /url: http://arxiv.org/licenses/nonexclusive-distrib/1.0/\\\\n        - generic [ref=e98]:\\\\n          - heading \\\\\\\"Current browse context:\\\\\\\" [level=3] [ref=e99]\\\\n          - generic [ref=e100]: cs.CV\\\\n          - generic [ref=e101]:\\\\n            - link \\\\\\\"< prev\\\\\\\" [ref=e103] [cursor=pointer]:\\\\n              - /url: /prevnext?id=1801.04381&function=prev&context=cs.CV\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"next >\\\\\\\" [ref=e105] [cursor=pointer]:\\\\n              - /url: /prevnext?id=1801.04381&function=next&context=cs.CV\\\\n          - generic [ref=e106]:\\\\n            - link \\\\\\\"new\\\\\\\" [ref=e107] [cursor=pointer]:\\\\n              - /url: /list/cs.CV/new\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"recent\\\\\\\" [ref=e108] [cursor=pointer]:\\\\n              - /url: /list/cs.CV/recent\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"2018-01\\\\\\\" [ref=e109] [cursor=pointer]:\\\\n              - /url: /list/cs.CV/2018-01\\\\n          - generic [ref=e110]:\\\\n            - text: \\\\\\\"Change to browse by:\\\\\\\"\\\\n            - link \\\\\\\"cs\\\\\\\" [ref=e112] [cursor=pointer]:\\\\n              - /url: /abs/1801.04381?context=cs\\\\n        - generic [ref=e113]:\\\\n          - heading \\\\\\\"References & Citations\\\\\\\" [level=3] [ref=e114]\\\\n          - list [ref=e115]:\\\\n            - listitem [ref=e116]:\\\\n              - link \\\\\\\"NASA ADS\\\\\\\" [ref=e117] [cursor=pointer]:\\\\n                - /url: https://ui.adsabs.harvard.edu/abs/arXiv:1801.04381\\\\n            - listitem [ref=e118]:\\\\n              - link \\\\\\\"Google Scholar\\\\\\\" [ref=e119] [cursor=pointer]:\\\\n                - /url: https://scholar.google.com/scholar_lookup?arxiv_id=1801.04381\\\\n            - listitem [ref=e120]:\\\\n              - link \\\\\\\"Semantic Scholar\\\\\\\" [ref=e121] [cursor=pointer]:\\\\n                - /url: https://api.semanticscholar.org/arXiv:1801.04381\\\\n        - generic [ref=e123]:\\\\n          - heading \\\\\\\"10 blog links\\\\\\\" [level=3] [ref=e124]:\\\\n            - link \\\\\\\"10 blog links\\\\\\\" [ref=e125] [cursor=pointer]:\\\\n              - /url: /tb/1801.04381\\\\n          - text: (\\\\n          - link \\\\\\\"what is this?\\\\\\\" [ref=e126] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/help/trackback.html\\\\n          - text: )\\\\n        - generic [ref=e127]:\\\\n          - heading \\\\\\\"DBLP - CS Bibliography\\\\\\\" [level=3] [ref=e128]:\\\\n            - link \\\\\\\"DBLP\\\\\\\" [ref=e129] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de\\\\n            - text: \\\\\\\"- CS Bibliography\\\\\\\"\\\\n          - generic [ref=e130]:\\\\n            - link \\\\\\\"listing\\\\\\\" [ref=e131] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/db/journals/corr/corr1801.html#abs-1801-04381\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"bibtex\\\\\\\" [ref=e132] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/rec/bibtex/journals/corr/abs-1801-04381\\\\n          - generic [ref=e133]:\\\\n            - link \\\\\\\"Mark Sandler\\\\\\\" [ref=e134] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Mark%20Sandler\\\\n            - link \\\\\\\"Andrew G. Howard\\\\\\\" [ref=e135] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Andrew%20G.%20Howard\\\\n            - link \\\\\\\"Menglong Zhu\\\\\\\" [ref=e136] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Menglong%20Zhu\\\\n            - link \\\\\\\"Andrey Zhmoginov\\\\\\\" [ref=e137] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Andrey%20Zhmoginov\\\\n            - link \\\\\\\"Liang-Chieh Chen\\\\\\\" [ref=e138] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Liang-Chieh%20Chen\\\\n        - button \\\\\\\"export BibTeX citation\\\\\\\" [ref=e140]\\\\n        - generic [ref=e141]:\\\\n          - heading \\\\\\\"Bookmark\\\\\\\" [level=3] [ref=e143]\\\\n          - link \\\\\\\"BibSonomy\\\\\\\" [ref=e144] [cursor=pointer]:\\\\n            - /url: \\\\\\\"http://www.bibsonomy.org/BibtexHandler?requTask=upload&url=https://arxiv.org/abs/1801.04381&description=MobileNetV2: Inverted Residuals and Linear Bottlenecks\\\\\\\"\\\\n            - img \\\\\\\"BibSonomy\\\\\\\" [ref=e145]\\\\n          - link \\\\\\\"Reddit\\\\\\\" [ref=e146] [cursor=pointer]:\\\\n            - /url: \\\\\\\"https://reddit.com/submit?url=https://arxiv.org/abs/1801.04381&title=MobileNetV2: Inverted Residuals and Linear Bottlenecks\\\\\\\"\\\\n            - img \\\\\\\"Reddit\\\\\\\" [ref=e147]\\\\n      - tablist \\\\\\\"arXivLabs tools\\\\\\\" [ref=e149]:\\\\n        - radio \\\\\\\"Bibliographic Tools\\\\\\\" [checked] [ref=e150]\\\\n        - tab \\\\\\\"Bibliographic Tools\\\\\\\" [selected] [ref=e151] [cursor=pointer]\\\\n        - tabpanel \\\\\\\"Bibliographic Tools\\\\\\\" [ref=e152]:\\\\n          - heading \\\\\\\"Bibliographic and Citation Tools\\\\\\\" [level=1] [ref=e153]\\\\n          - generic [ref=e154]:\\\\n            - generic [ref=e155]:\\\\n              - generic [ref=e157]:\\\\n                - checkbox \\\\\\\"Bibliographic Explorer Toggle\\\\\\\"\\\\n                - generic [ref=e159]: Bibliographic Explorer Toggle\\\\n              - 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listitem [ref=e224]:\\\\n            - link \\\\\\\"Copyright\\\\\\\" [ref=e225] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/license/index.html\\\\n          - listitem [ref=e226]:\\\\n            - link \\\\\\\"Privacy Policy\\\\\\\" [ref=e227] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/policies/privacy_policy.html\\\\n        - list [ref=e229]:\\\\n          - listitem [ref=e230]:\\\\n            - link \\\\\\\"Web Accessibility Assistance\\\\\\\" [ref=e231] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/web_accessibility.html\\\\n          - listitem [ref=e232]:\\\\n            - paragraph [ref=e233]:\\\\n              - link \\\\\\\"arXiv Operational Status\\\\\\\" [ref=e234] [cursor=pointer]:\\\\n                - /url: https://status.arxiv.org\\\\n                - text: arXiv Operational Status\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "id": "__fake_id__",
+    "content": [
+      {
+        "annotations": [],
+        "text": "2018",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  }
+]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_232/result.json

@@ -0,0 +1,19 @@
+{
+  "category": "synth_web_search_fact_232",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...6eda",
+  "success": true,
+  "verify_rc": 0,
+  "verify_stdout": "\u2705 correct answer: 2018\n\ud83c\udf89 All checks passed!",
+  "verify_stderr": "",
+  "turn_count": 6,
+  "token_usage": {
+    "input_tokens": 33946,
+    "output_tokens": 590,
+    "total_tokens": 34536,
+    "reasoning_tokens": 321
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 80.08147096633911
+}

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_245/execution.log

@@ -0,0 +1,29 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://arxiv.org/abs/1608.06993"}
+| browser_snapshot {}
+Densely Connected Convolutional Networks

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_245/messages.json

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+[
+  {
+    "content": "Please use Playwright MCP tools to finish the following task:\n\n### Task: Look up a paper on arXiv\n\nOpen this page in the browser: https://arxiv.org/abs/1608.06993\n\nThen provide the precise title of the paper..\n\nYour final reply must contain ONLY that value — no preamble, labels, units, or extra words.\n\nUse Playwright MCP tools to complete this web task.",
+    "role": "user"
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+  {
+    "arguments": "{\"url\": \"https://arxiv.org/abs/1608.06993\"}",
+    "call_id": "call_00_r115jzefSONXYps3oRPG5316",
+    "name": "browser_navigate",
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+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1608.06993');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1608.06993\\\\n- Page Title: [1608.06993] Densely Connected Convolutional Networks\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-17-44-050Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
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+    "arguments": "{}",
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+    "name": "browser_snapshot",
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+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_nx9KleZFIzjjcy3cdfQY1284",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1608.06993\\\\n- Page Title: [1608.06993] Densely Connected Convolutional Networks\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - link \\\\\\\"Learn about arXiv becoming an independent nonprofit.\\\\\\\" [ref=e10] [cursor=pointer]:\\\\n        - /url: https://tech.cornell.edu/arxiv/\\\\n      - generic [ref=e11]:\\\\n        - generic [ref=e12]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e13] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e14] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e15]:\\\\n      - generic [ref=e16]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e17] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e18]\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e20] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e21]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1608.06993\\\\n      - generic [ref=e24]:\\\\n        - generic [ref=e25]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e26]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e27]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e28] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e29] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e31]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e32] [cursor=pointer]\\\\n  - main [ref=e33]:\\\\n    - generic [ref=e35]:\\\\n      - generic [ref=e36]:\\\\n        - heading \\\\\\\"Computer Science > Computer Vision and Pattern Recognition\\\\\\\" [level=1] [ref=e38]\\\\n        - generic [ref=e40]:\\\\n          - generic [ref=e41]:\\\\n            - text: \\\\\\\"[Submitted on 25 Aug 2016 (\\\\\\\"\\\\n            - link \\\\\\\"v1\\\\\\\" [ref=e42] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/abs/1608.06993v1\\\\n            - text: ), last revised 28 Jan 2018 (this version, v5)]\\\\n          - heading \\\\\\\"Densely Connected Convolutional Networks\\\\\\\" [level=1] [ref=e43]\\\\n          - generic [ref=e44]:\\\\n            - link \\\\\\\"Gao Huang\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Huang,+G\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Zhuang Liu\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Liu,+Z\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Laurens van der Maaten\\\\\\\" [ref=e47] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=van+der+Maaten,+L\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Kilian Q. Weinberger\\\\\\\" [ref=e48] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Weinberger,+K+Q\\\\n          - blockquote [ref=e49]:\\\\n            - text: \\\\\\\"Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convolutional Network (DenseNet), which connects each layer to every other layer in a feed-forward fashion. Whereas traditional convolutional networks with L layers have L connections - one between each layer and its subsequent layer - our network has L(L+1)/2 direct connections. For each layer, the feature-maps of all preceding layers are used as inputs, and its own feature-maps are used as inputs into all subsequent layers. DenseNets have several compelling advantages: they alleviate the vanishing-gradient problem, strengthen feature propagation, encourage feature reuse, and substantially reduce the number of parameters. We evaluate our proposed architecture on four highly competitive object recognition benchmark tasks (CIFAR-10, CIFAR-100, SVHN, and ImageNet). DenseNets obtain significant improvements over the state-of-the-art on most of them, whilst requiring less computation to achieve high performance. Code and pre-trained models are available at\\\\\\\"\\\\n            - link \\\\\\\"this https URL\\\\\\\" [ref=e50] [cursor=pointer]:\\\\n              - /url: https://github.com/liuzhuang13/DenseNet\\\\n            - text: .\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e52]:\\\\n            - rowgroup [ref=e53]:\\\\n              - 'row \\\\\\\"Comments: CVPR 2017\\\\\\\" [ref=e54]':\\\\n                - cell \\\\\\\"Comments:\\\\\\\" [ref=e55]\\\\n                - cell \\\\\\\"CVPR 2017\\\\\\\" [ref=e56]\\\\n              - 'row \\\\\\\"Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)\\\\\\\" [ref=e57]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e58]\\\\n                - cell \\\\\\\"Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)\\\\\\\" [ref=e59]\\\\n              - 'row \\\\\\\"Cite as: arXiv:1608.06993 [cs.CV]\\\\\\\" [ref=e60]':\\\\n                - cell \\\\\\\"Cite as:\\\\\\\" [ref=e61]\\\\n                - 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cell [ref=e71]\\\\n                - cell \\\\\\\"https://doi.org/10.48550/arXiv.1608.06993 Focus to learn more\\\\\\\" [ref=e72]:\\\\n                  - link \\\\\\\"https://doi.org/10.48550/arXiv.1608.06993\\\\\\\" [ref=e73] [cursor=pointer]:\\\\n                    - /url: https://doi.org/10.48550/arXiv.1608.06993\\\\n                  - button \\\\\\\"Focus to learn more\\\\\\\" [ref=e75]:\\\\n                    - generic [ref=e77]: Focus to learn more\\\\n        - generic [ref=e78]:\\\\n          - heading \\\\\\\"Submission history\\\\\\\" [level=2] [ref=e79]\\\\n          - text: \\\\\\\"From: Gao Huang [\\\\\\\"\\\\n          - link \\\\\\\"view email\\\\\\\" [ref=e80] [cursor=pointer]:\\\\n            - /url: /show-email/8557e9ed/1608.06993\\\\n          - text: \\\\\\\"]\\\\\\\"\\\\n          - strong [ref=e81]:\\\\n            - link \\\\\\\"[v1]\\\\\\\" [ref=e82] [cursor=pointer]:\\\\n              - /url: /abs/1608.06993v1\\\\n          - text: Thu, 25 Aug 2016 00:44:55 UTC (1,175 KB)\\\\n          - 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+    "content": [
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+        "text": "Densely Connected Convolutional Networks",
+        "type": "output_text"
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synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_245/result.json

@@ -0,0 +1,19 @@
+{
+  "category": "synth_web_search_fact_245",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...2aca",
+  "success": true,
+  "verify_rc": 0,
+  "verify_stdout": "\u2705 correct answer: Densely Connected Convolutional Networks\n\ud83c\udf89 All checks passed!",
+  "verify_stderr": "",
+  "turn_count": 3,
+  "token_usage": {
+    "input_tokens": 18462,
+    "output_tokens": 210,
+    "total_tokens": 18672,
+    "reasoning_tokens": 114
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 10.20088267326355
+}

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_265/execution.log

@@ -0,0 +1,29 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://arxiv.org/abs/1907.11692"}
+| browser_snapshot {}
+cs.CL

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_265/messages.json

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+[
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+    "role": "user"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/abs/1907.11692\"}",
+    "call_id": "call_00_QQ2UqqnHRYVNfEfcg8wf3741",
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+    "id": "__fake_id__"
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+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1907.11692');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1907.11692\\\\n- Page Title: [1907.11692] RoBERTa: A Robustly Optimized BERT Pretraining Approach\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-18-30-606Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_PrhvGIRTFLo6Lez5HtKf4998",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_PrhvGIRTFLo6Lez5HtKf4998",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1907.11692\\\\n- Page Title: [1907.11692] RoBERTa: A Robustly Optimized BERT Pretraining Approach\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - generic [ref=e9]:\\\\n        - generic [ref=e10]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e11] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e12] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e13]:\\\\n      - generic [ref=e14]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e15] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e16]\\\\n        - generic [ref=e17]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e18] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1907.11692\\\\n      - generic [ref=e22]:\\\\n        - generic [ref=e23]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e24]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e25]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e26] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e27] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e29]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e30] [cursor=pointer]\\\\n  - main [ref=e31]:\\\\n    - generic [ref=e33]:\\\\n      - generic [ref=e34]:\\\\n        - heading \\\\\\\"Computer Science > Computation and Language\\\\\\\" [level=1] [ref=e36]\\\\n        - generic [ref=e38]:\\\\n          - generic [ref=e39]: \\\\\\\"[Submitted on 26 Jul 2019]\\\\\\\"\\\\n          - 'heading \\\\\\\"RoBERTa: A Robustly Optimized BERT Pretraining Approach\\\\\\\" [level=1] [ref=e40]'\\\\n          - generic [ref=e41]:\\\\n            - link \\\\\\\"Yinhan Liu\\\\\\\" [ref=e42] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Liu,+Y\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Myle Ott\\\\\\\" [ref=e43] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Ott,+M\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Naman Goyal\\\\\\\" [ref=e44] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Goyal,+N\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Jingfei Du\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Du,+J\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Mandar Joshi\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Joshi,+M\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Danqi Chen\\\\\\\" [ref=e47] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Chen,+D\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Omer Levy\\\\\\\" [ref=e48] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Levy,+O\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Mike Lewis\\\\\\\" [ref=e49] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Lewis,+M\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Luke Zettlemoyer\\\\\\\" [ref=e50] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Zettlemoyer,+L\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Veselin Stoyanov\\\\\\\" [ref=e51] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Stoyanov,+V\\\\n          - blockquote [ref=e52]: Language model pretraining has led to significant performance gains but careful comparison between different approaches is challenging. Training is computationally expensive, often done on private datasets of different sizes, and, as we will show, hyperparameter choices have significant impact on the final results. We present a replication study of BERT pretraining (Devlin et al., 2019) that carefully measures the impact of many key hyperparameters and training data size. We find that BERT was significantly undertrained, and can match or exceed the performance of every model published after it. Our best model achieves state-of-the-art results on GLUE, RACE and SQuAD. These results highlight the importance of previously overlooked design choices, and raise questions about the source of recently reported improvements. We release our models and code.\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e54]:\\\\n            - rowgroup [ref=e55]:\\\\n              - 'row \\\\\\\"Subjects: Computation and Language (cs.CL)\\\\\\\" [ref=e56]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e57]\\\\n                - cell \\\\\\\"Computation and Language (cs.CL)\\\\\\\" [ref=e58]\\\\n              - 'row \\\\\\\"Cite as: arXiv:1907.11692 [cs.CL]\\\\\\\" [ref=e59]':\\\\n                - cell \\\\\\\"Cite as:\\\\\\\" [ref=e60]\\\\n                - cell \\\\\\\"arXiv:1907.11692 [cs.CL]\\\\\\\" [ref=e61]:\\\\n                  - generic [ref=e62]:\\\\n                    - link \\\\\\\"arXiv:1907.11692\\\\\\\" [ref=e63] [cursor=pointer]:\\\\n                      - /url: https://arxiv.org/abs/1907.11692\\\\n                    - text: \\\\\\\"[cs.CL]\\\\\\\"\\\\n              - row \\\\\\\"(or arXiv:1907.11692v1 [cs.CL] for this version)\\\\\\\" [ref=e64]:\\\\n                - cell [ref=e65]\\\\n                - 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generic [ref=e77]:\\\\n          - heading \\\\\\\"Submission history\\\\\\\" [level=2] [ref=e78]\\\\n          - text: \\\\\\\"From: Myle Ott [\\\\\\\"\\\\n          - link \\\\\\\"view email\\\\\\\" [ref=e79] [cursor=pointer]:\\\\n            - /url: /show-email/980ef4cc/1907.11692\\\\n          - text: \\\\\\\"]\\\\\\\"\\\\n          - strong [ref=e80]: \\\\\\\"[v1]\\\\\\\"\\\\n          - text: Fri, 26 Jul 2019 17:48:29 UTC (45 KB)\\\\n      - generic [ref=e81]:\\\\n        - generic [ref=e82]:\\\\n          - heading \\\\\\\"Access Paper:\\\\\\\" [level=2] [ref=e83]\\\\n          - list [ref=e84]:\\\\n            - listitem [ref=e85]:\\\\n              - link \\\\\\\"View PDF\\\\\\\" [ref=e86] [cursor=pointer]:\\\\n                - /url: /pdf/1907.11692\\\\n            - listitem [ref=e87]:\\\\n              - link \\\\\\\"TeX Source\\\\\\\" [ref=e88] [cursor=pointer]:\\\\n                - /url: /src/1907.11692\\\\n          - link \\\\\\\"view license\\\\\\\" [ref=e90] [cursor=pointer]:\\\\n            - 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/url: javascript:setMathjaxCookie()\\\\n        - text: (\\\\n        - link \\\\\\\"What is MathJax?\\\\\\\" [ref=e193] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/help/mathjax.html\\\\n        - text: )\\\\n  - contentinfo [ref=e194]:\\\\n    - navigation \\\\\\\"Secondary\\\\\\\" [ref=e195]:\\\\n      - generic [ref=e197]:\\\\n        - list [ref=e199]:\\\\n          - listitem [ref=e200]:\\\\n            - link \\\\\\\"About\\\\\\\" [ref=e201] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/about\\\\n          - listitem [ref=e202]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e203] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n        - list [ref=e205]:\\\\n          - listitem [ref=e206]:\\\\n            - link \\\\\\\"Contact\\\\\\\" [ref=e208] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/contact.html\\\\n          - listitem [ref=e209]:\\\\n            - link \\\\\\\"Subscribe\\\\\\\" [ref=e211] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/subscribe\\\\n      - generic [ref=e213]:\\\\n        - list [ref=e215]:\\\\n          - listitem [ref=e216]:\\\\n            - link \\\\\\\"Copyright\\\\\\\" [ref=e217] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/license/index.html\\\\n          - listitem [ref=e218]:\\\\n            - link \\\\\\\"Privacy Policy\\\\\\\" [ref=e219] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/policies/privacy_policy.html\\\\n        - list [ref=e221]:\\\\n          - listitem [ref=e222]:\\\\n            - link \\\\\\\"Web Accessibility Assistance\\\\\\\" [ref=e223] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/web_accessibility.html\\\\n          - listitem [ref=e224]:\\\\n            - paragraph [ref=e225]:\\\\n              - link \\\\\\\"arXiv Operational Status\\\\\\\" [ref=e226] [cursor=pointer]:\\\\n                - /url: https://status.arxiv.org\\\\n                - text: arXiv Operational Status\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "id": "__fake_id__",
+    "content": [
+      {
+        "annotations": [],
+        "text": "cs.CL",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  }
+]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_265/result.json

@@ -0,0 +1,19 @@
+{
+  "category": "synth_web_search_fact_265",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...2aca",
+  "success": true,
+  "verify_rc": 0,
+  "verify_stdout": "\u2705 correct answer: cs.CL\n\ud83c\udf89 All checks passed!",
+  "verify_stderr": "",
+  "turn_count": 3,
+  "token_usage": {
+    "input_tokens": 18199,
+    "output_tokens": 217,
+    "total_tokens": 18416,
+    "reasoning_tokens": 125
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 9.823516368865967
+}

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_275/execution.log

@@ -0,0 +1,34 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://www.google.com/search?q=Sentence-BERT%3A+Sentence+Embeddings+using+Siamese+BERT-Networks+arxiv"}
+| browser_navigate {"url": "https://arxiv.org/abs/1908.10084"}
+| browser_snapshot {}
+**Abstract:** BERT (Devlin et al., 2018) and RoBERTa (Liu et al., 2019) has set a new state-of-the-art performance on sentence-pair regression tasks like semantic textual similarity (STS). However, it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10,000 sentences requires about 50 million inference computations (~65 hours) with BERT. The construction of BERT makes it unsuitable for semantic similarity search as well as for unsupervised tasks like clustering.
+
+In this publication, we present Sentence-BERT (SBERT), a modification of the pretrained BERT network that use siamese and triplet network structures to derive semantically meaningful sentence embeddings that can be compared using cosine-similarity. This reduces the effort for finding the most similar pair from 65 hours with BERT / RoBERTa to about 5 seconds with SBERT, while maintaining the accuracy from BERT.
+
+We evaluate SBERT and SRoBERTa on common STS tasks and transfer learning tasks, where it outperforms other state-of-the-art sentence embeddings methods.

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_275/messages.json

@@ -0,0 +1,55 @@
+[
+  {
+    "content": "Please use Playwright MCP tools to finish the following task:\n\n### Task: Look up a paper on arXiv\n\nUse Playwright MCP tools to **search the web** for the arXiv paper titled:\n\n    Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\n\nFind and open its arXiv abstract page (URL of the form `https://arxiv.org/abs/...`).\n\nThen extract the exact, word-for-word text from the abstract..\n\nOutput the Abstract text in Markdown. Your final reply must contain ONLY the Abstract content — no preamble, labels, or commentary.\n\nUse Playwright MCP tools to complete this web task.",
+    "role": "user"
+  },
+  {
+    "arguments": "{\"url\": \"https://www.google.com/search?q=Sentence-BERT%3A+Sentence+Embeddings+using+Siamese+BERT-Networks+arxiv\"}",
+    "call_id": "call_00_vjB0qg7Mo37p2MwOAKSJ4146",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_vjB0qg7Mo37p2MwOAKSJ4146",
+    "output": "{\"type\": \"text\", \"text\": \"Error: Tool call 'browser_navigate' timed out after 60 seconds\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/abs/1908.10084\"}",
+    "call_id": "call_00_cB3MXEFWpnIJJrjVd70a5605",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_cB3MXEFWpnIJJrjVd70a5605",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1908.10084');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1908.10084\\\\n- Page Title: [1908.10084] Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-19-47-770Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_JrnUEz0GtapvT5L7cRes2211",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_JrnUEz0GtapvT5L7cRes2211",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1908.10084\\\\n- Page Title: [1908.10084] Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - link \\\\\\\"Learn about arXiv becoming an independent nonprofit.\\\\\\\" [ref=e10] [cursor=pointer]:\\\\n        - /url: https://tech.cornell.edu/arxiv/\\\\n      - generic [ref=e11]:\\\\n        - generic [ref=e12]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e13] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e14] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e15]:\\\\n      - generic [ref=e16]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e17] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e18]\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e20] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e21]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1908.10084\\\\n      - generic [ref=e24]:\\\\n        - generic [ref=e25]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e26]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e27]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e28] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e29] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e31]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e32] [cursor=pointer]\\\\n  - main [ref=e33]:\\\\n    - generic [ref=e35]:\\\\n      - generic [ref=e36]:\\\\n        - heading \\\\\\\"Computer Science > Computation and Language\\\\\\\" [level=1] [ref=e38]\\\\n        - generic [ref=e40]:\\\\n          - generic [ref=e41]: \\\\\\\"[Submitted on 27 Aug 2019]\\\\\\\"\\\\n          - 'heading \\\\\\\"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks\\\\\\\" [level=1] [ref=e42]'\\\\n          - generic [ref=e43]:\\\\n            - link \\\\\\\"Nils Reimers\\\\\\\" [ref=e44] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Reimers,+N\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Iryna Gurevych\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Gurevych,+I\\\\n          - blockquote [ref=e46]:\\\\n            - text: \\\\\\\"BERT (Devlin et al., 2018) and RoBERTa (Liu et al., 2019) has set a new state-of-the-art performance on sentence-pair regression tasks like semantic textual similarity (STS). However, it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10,000 sentences requires about 50 million inference computations (~65 hours) with BERT. The construction of BERT makes it unsuitable for semantic similarity search as well as for unsupervised tasks like clustering.\\\\\\\"\\\\n            - text: In this publication, we present Sentence-BERT (SBERT), a modification of the pretrained BERT network that use siamese and triplet network structures to derive semantically meaningful sentence embeddings that can be compared using cosine-similarity. This reduces the effort for finding the most similar pair from 65 hours with BERT / RoBERTa to about 5 seconds with SBERT, while maintaining the accuracy from BERT.\\\\n            - text: We evaluate SBERT and SRoBERTa on common STS tasks and transfer learning tasks, where it outperforms other state-of-the-art sentence embeddings methods.\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e48]:\\\\n            - rowgroup [ref=e49]:\\\\n              - 'row \\\\\\\"Comments: Published at EMNLP 2019\\\\\\\" [ref=e50]':\\\\n                - cell \\\\\\\"Comments:\\\\\\\" [ref=e51]\\\\n                - cell \\\\\\\"Published at EMNLP 2019\\\\\\\" [ref=e52]\\\\n              - 'row \\\\\\\"Subjects: Computation and Language (cs.CL)\\\\\\\" [ref=e53]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e54]\\\\n                - cell \\\\\\\"Computation and Language (cs.CL)\\\\\\\" [ref=e55]\\\\n              - 'row \\\\\\\"Cite as: arXiv:1908.10084 [cs.CL]\\\\\\\" [ref=e56]':\\\\n                - 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+    "type": "function_call_output"
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+  {
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+      {
+        "annotations": [],
+        "text": "**Abstract:** BERT (Devlin et al., 2018) and RoBERTa (Liu et al., 2019) has set a new state-of-the-art performance on sentence-pair regression tasks like semantic textual similarity (STS). However, it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10,000 sentences requires about 50 million inference computations (~65 hours) with BERT. The construction of BERT makes it unsuitable for semantic similarity search as well as for unsupervised tasks like clustering.\n\nIn this publication, we present Sentence-BERT (SBERT), a modification of the pretrained BERT network that use siamese and triplet network structures to derive semantically meaningful sentence embeddings that can be compared using cosine-similarity. This reduces the effort for finding the most similar pair from 65 hours with BERT / RoBERTa to about 5 seconds with SBERT, while maintaining the accuracy from BERT.\n\nWe evaluate SBERT and SRoBERTa on common STS tasks and transfer learning tasks, where it outperforms other state-of-the-art sentence embeddings methods.",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
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+]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_275/result.json

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+{
+  "category": "synth_web_search_fact_275",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...5ffa",
+  "success": true,
+  "verify_rc": 0,
+  "verify_stdout": "\u2705 abstract matches snapshot\n\ud83c\udf89 All checks passed!",
+  "verify_stderr": "",
+  "turn_count": 4,
+  "token_usage": {
+    "input_tokens": 22775,
+    "output_tokens": 788,
+    "total_tokens": 23563,
+    "reasoning_tokens": 387
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 78.48127889633179
+}

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_281/execution.log

@@ -0,0 +1,29 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://arxiv.org/abs/1506.06579"}
+| browser_snapshot {}
+Recent years have produced great advances in training large, deep neural networks (DNNs), including notable successes in training convolutional neural networks (convnets) to recognize natural images. However, our understanding of how these models work, especially what computations they perform at intermediate layers, has lagged behind. Progress in the field will be further accelerated by the development of better tools for visualizing and interpreting neural nets. We introduce two such tools here. The first is a tool that visualizes the activations produced on each layer of a trained convnet as it processes an image or video (e.g. a live webcam stream). We have found that looking at live activations that change in response to user input helps build valuable intuitions about how convnets work. The second tool enables visualizing features at each layer of a DNN via regularized optimization in image space. Because previous versions of this idea produced less recognizable images, here we introduce several new regularization methods that combine to produce qualitatively clearer, more interpretable visualizations. Both tools are open source and work on a pre-trained convnet with minimal setup.

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_281/messages.json

@@ -0,0 +1,43 @@
+[
+  {
+    "content": "Please use Playwright MCP tools to finish the following task:\n\n### Task: Look up a paper on arXiv\n\nOpen this page in the browser: https://arxiv.org/abs/1506.06579\n\nThen extract the entire abstract text exactly as written, verbatim..\n\nOutput the Abstract text in Markdown. Your final reply must contain ONLY the Abstract content — no preamble, labels, or commentary.\n\nUse Playwright MCP tools to complete this web task.",
+    "role": "user"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/abs/1506.06579\"}",
+    "call_id": "call_00_cWN23kKGgDJw9HhFOF4O5976",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_cWN23kKGgDJw9HhFOF4O5976",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Ran Playwright code\\\\n```js\\\\nawait page.goto('https://arxiv.org/abs/1506.06579');\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/abs/1506.06579\\\\n- Page Title: [1506.06579] Understanding Neural Networks Through Deep Visualization\\\\n### Snapshot\\\\n- [Snapshot](.playwright-mcp/page-2026-06-05T09-18-54-964Z.yml)\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_kIsELifCp9mbgESAfVuO2066",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_kIsELifCp9mbgESAfVuO2066",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Page\\\\n- Page URL: https://arxiv.org/abs/1506.06579\\\\n- Page Title: [1506.06579] Understanding Neural Networks Through Deep Visualization\\\\n### Snapshot\\\\n```yaml\\\\n- generic [ref=e2]:\\\\n  - banner [ref=e3]:\\\\n    - link \\\\\\\"Skip to main content\\\\\\\" [ref=e4] [cursor=pointer]:\\\\n      - /url: \\\\\\\"#content\\\\\\\"\\\\n    - generic [ref=e5]:\\\\n      - link \\\\\\\"Cornell University\\\\\\\" [ref=e7] [cursor=pointer]:\\\\n        - /url: https://www.cornell.edu/\\\\n        - img \\\\\\\"Cornell University\\\\\\\" [ref=e8]\\\\n      - link \\\\\\\"Learn about arXiv becoming an independent nonprofit.\\\\\\\" [ref=e10] [cursor=pointer]:\\\\n        - /url: https://tech.cornell.edu/arxiv/\\\\n      - generic [ref=e11]:\\\\n        - generic [ref=e12]:\\\\n          - text: We gratefully acknowledge support from the Simons Foundation,\\\\n          - link \\\\\\\"member institutions\\\\\\\" [ref=e13] [cursor=pointer]:\\\\n            - /url: https://info.arxiv.org/about/ourmembers.html\\\\n          - text: \\\\\\\", and all contributors.\\\\\\\"\\\\n        - link \\\\\\\"Donate\\\\\\\" [ref=e14] [cursor=pointer]:\\\\n          - /url: https://info.arxiv.org/about/donate.html\\\\n    - generic [ref=e15]:\\\\n      - generic [ref=e16]:\\\\n        - link \\\\\\\"arxiv logo\\\\\\\" [ref=e17] [cursor=pointer]:\\\\n          - /url: /\\\\n          - img \\\\\\\"arxiv logo\\\\\\\" [ref=e18]\\\\n        - generic [ref=e19]: \\\\\\\">\\\\\\\"\\\\n        - link \\\\\\\"cs\\\\\\\" [ref=e20] [cursor=pointer]:\\\\n          - /url: /list/cs/recent\\\\n        - generic [ref=e21]: \\\\\\\">\\\\\\\"\\\\n        - text: arXiv:1506.06579\\\\n      - generic [ref=e24]:\\\\n        - generic [ref=e25]:\\\\n          - textbox \\\\\\\"Search term or terms\\\\\\\" [ref=e26]:\\\\n            - /placeholder: Search...\\\\n          - paragraph [ref=e27]:\\\\n            - link \\\\\\\"Help\\\\\\\" [ref=e28] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help\\\\n            - text: \\\\\\\"|\\\\\\\"\\\\n            - link \\\\\\\"Advanced Search\\\\\\\" [ref=e29] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/advanced\\\\n        - combobox \\\\\\\"Field to search\\\\\\\" [ref=e31]:\\\\n          - option \\\\\\\"All fields\\\\\\\" [selected]\\\\n          - option \\\\\\\"Title\\\\\\\"\\\\n          - option \\\\\\\"Author\\\\\\\"\\\\n          - option \\\\\\\"Abstract\\\\\\\"\\\\n          - option \\\\\\\"Comments\\\\\\\"\\\\n          - option \\\\\\\"Journal reference\\\\\\\"\\\\n          - option \\\\\\\"ACM classification\\\\\\\"\\\\n          - option \\\\\\\"MSC classification\\\\\\\"\\\\n          - option \\\\\\\"Report number\\\\\\\"\\\\n          - option \\\\\\\"arXiv identifier\\\\\\\"\\\\n          - option \\\\\\\"DOI\\\\\\\"\\\\n          - option \\\\\\\"ORCID\\\\\\\"\\\\n          - option \\\\\\\"arXiv author ID\\\\\\\"\\\\n          - option \\\\\\\"Help pages\\\\\\\"\\\\n          - option \\\\\\\"Full text\\\\\\\"\\\\n        - button \\\\\\\"Search\\\\\\\" [ref=e32] [cursor=pointer]\\\\n  - main [ref=e33]:\\\\n    - generic [ref=e35]:\\\\n      - generic [ref=e36]:\\\\n        - heading \\\\\\\"Computer Science > Computer Vision and Pattern Recognition\\\\\\\" [level=1] [ref=e38]\\\\n        - generic [ref=e40]:\\\\n          - generic [ref=e41]: \\\\\\\"[Submitted on 22 Jun 2015]\\\\\\\"\\\\n          - heading \\\\\\\"Understanding Neural Networks Through Deep Visualization\\\\\\\" [level=1] [ref=e42]\\\\n          - generic [ref=e43]:\\\\n            - link \\\\\\\"Jason Yosinski\\\\\\\" [ref=e44] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Yosinski,+J\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Jeff Clune\\\\\\\" [ref=e45] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Clune,+J\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Anh Nguyen\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Nguyen,+A\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Thomas Fuchs\\\\\\\" [ref=e47] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Fuchs,+T\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Hod Lipson\\\\\\\" [ref=e48] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Lipson,+H\\\\n          - blockquote [ref=e49]: Recent years have produced great advances in training large, deep neural networks (DNNs), including notable successes in training convolutional neural networks (convnets) to recognize natural images. However, our understanding of how these models work, especially what computations they perform at intermediate layers, has lagged behind. Progress in the field will be further accelerated by the development of better tools for visualizing and interpreting neural nets. We introduce two such tools here. The first is a tool that visualizes the activations produced on each layer of a trained convnet as it processes an image or video (e.g. a live webcam stream). We have found that looking at live activations that change in response to user input helps build valuable intuitions about how convnets work. The second tool enables visualizing features at each layer of a DNN via regularized optimization in image space. Because previous versions of this idea produced less recognizable images, here we introduce several new regularization methods that combine to produce qualitatively clearer, more interpretable visualizations. Both tools are open source and work on a pre-trained convnet with minimal setup.\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e51]:\\\\n            - rowgroup [ref=e52]:\\\\n              - 'row \\\\\\\"Comments: 12 pages. To appear at ICML Deep Learning Workshop 2015\\\\\\\" [ref=e53]':\\\\n                - cell \\\\\\\"Comments:\\\\\\\" [ref=e54]\\\\n                - cell \\\\\\\"12 pages. 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generic [ref=e76]: Focus to learn more\\\\n        - generic [ref=e77]:\\\\n          - heading \\\\\\\"Submission history\\\\\\\" [level=2] [ref=e78]\\\\n          - text: \\\\\\\"From: Jason Yosinski [\\\\\\\"\\\\n          - link \\\\\\\"view email\\\\\\\" [ref=e79] [cursor=pointer]:\\\\n            - /url: /show-email/1c03041f/1506.06579\\\\n          - text: \\\\\\\"]\\\\\\\"\\\\n          - strong [ref=e80]: \\\\\\\"[v1]\\\\\\\"\\\\n          - text: Mon, 22 Jun 2015 12:57:15 UTC (8,509 KB)\\\\n      - generic [ref=e81]:\\\\n        - generic [ref=e82]:\\\\n          - heading \\\\\\\"Access Paper:\\\\\\\" [level=2] [ref=e83]\\\\n          - list [ref=e84]:\\\\n            - listitem [ref=e85]:\\\\n              - link \\\\\\\"View PDF\\\\\\\" [ref=e86] [cursor=pointer]:\\\\n                - /url: /pdf/1506.06579\\\\n            - listitem [ref=e87]:\\\\n              - link \\\\\\\"TeX Source\\\\\\\" [ref=e88] [cursor=pointer]:\\\\n                - /url: /src/1506.06579\\\\n          - 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Fuchs\\\\\\\" [ref=e134] [cursor=pointer]:\\\\n              - /url: https://dblp.uni-trier.de/search/author?author=Thomas%20J.%20Fuchs\\\\n            - generic [ref=e135]: \\\\u2026\\\\n        - button \\\\\\\"export BibTeX citation\\\\\\\" [ref=e137]\\\\n        - generic [ref=e138]:\\\\n          - heading \\\\\\\"Bookmark\\\\\\\" [level=3] [ref=e140]\\\\n          - link \\\\\\\"BibSonomy\\\\\\\" [ref=e141] [cursor=pointer]:\\\\n            - /url: http://www.bibsonomy.org/BibtexHandler?requTask=upload&url=https://arxiv.org/abs/1506.06579&description=Understanding Neural Networks Through Deep Visualization\\\\n            - img \\\\\\\"BibSonomy\\\\\\\" [ref=e142]\\\\n          - link \\\\\\\"Reddit\\\\\\\" [ref=e143] [cursor=pointer]:\\\\n            - /url: https://reddit.com/submit?url=https://arxiv.org/abs/1506.06579&title=Understanding Neural Networks Through Deep Visualization\\\\n            - img \\\\\\\"Reddit\\\\\\\" [ref=e144]\\\\n      - tablist \\\\\\\"arXivLabs tools\\\\\\\" [ref=e146]:\\\\n        - 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/url: https://info.arxiv.org/help\\\\n        - list [ref=e210]:\\\\n          - listitem [ref=e211]:\\\\n            - link \\\\\\\"Contact\\\\\\\" [ref=e213] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/contact.html\\\\n          - listitem [ref=e214]:\\\\n            - link \\\\\\\"Subscribe\\\\\\\" [ref=e216] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/subscribe\\\\n      - generic [ref=e218]:\\\\n        - list [ref=e220]:\\\\n          - listitem [ref=e221]:\\\\n            - link \\\\\\\"Copyright\\\\\\\" [ref=e222] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/license/index.html\\\\n          - listitem [ref=e223]:\\\\n            - link \\\\\\\"Privacy Policy\\\\\\\" [ref=e224] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/policies/privacy_policy.html\\\\n        - list [ref=e226]:\\\\n          - listitem [ref=e227]:\\\\n            - link \\\\\\\"Web Accessibility Assistance\\\\\\\" [ref=e228] [cursor=pointer]:\\\\n              - /url: https://info.arxiv.org/help/web_accessibility.html\\\\n          - listitem [ref=e229]:\\\\n            - paragraph [ref=e230]:\\\\n              - link \\\\\\\"arXiv Operational Status\\\\\\\" [ref=e231] [cursor=pointer]:\\\\n                - /url: https://status.arxiv.org\\\\n                - text: arXiv Operational Status\\\\n```\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "id": "__fake_id__",
+    "content": [
+      {
+        "annotations": [],
+        "text": "Recent years have produced great advances in training large, deep neural networks (DNNs), including notable successes in training convolutional neural networks (convnets) to recognize natural images. However, our understanding of how these models work, especially what computations they perform at intermediate layers, has lagged behind. Progress in the field will be further accelerated by the development of better tools for visualizing and interpreting neural nets. We introduce two such tools here. The first is a tool that visualizes the activations produced on each layer of a trained convnet as it processes an image or video (e.g. a live webcam stream). We have found that looking at live activations that change in response to user input helps build valuable intuitions about how convnets work. The second tool enables visualizing features at each layer of a DNN via regularized optimization in image space. Because previous versions of this idea produced less recognizable images, here we introduce several new regularization methods that combine to produce qualitatively clearer, more interpretable visualizations. Both tools are open source and work on a pre-trained convnet with minimal setup.",
+        "type": "output_text"
+      }
+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  }
+]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_281/result.json

@@ -0,0 +1,19 @@
+{
+  "category": "synth_web_search_fact_281",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...5ffa",
+  "success": true,
+  "verify_rc": 0,
+  "verify_stdout": "\u2705 abstract matches snapshot\n\ud83c\udf89 All checks passed!",
+  "verify_stderr": "",
+  "turn_count": 3,
+  "token_usage": {
+    "input_tokens": 18315,
+    "output_tokens": 641,
+    "total_tokens": 18956,
+    "reasoning_tokens": 332
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 15.528399467468262
+}

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_323/execution.log

@@ -0,0 +1,40 @@
+===== Available Tools =====
+- ToolName: browser_close            Description: Close the page
+- ToolName: browser_resize           Description: Resize the browser window
+- ToolName: browser_console_messages Description: Returns all console messages
+- ToolName: browser_handle_dialog    Description: Handle a dialog
+- ToolName: browser_evaluate         Description: Evaluate JavaScript expression on page or element
+- ToolName: browser_file_upload      Description: Upload one or multiple files
+- ToolName: browser_drop             Description: Drop files or MIME-typed data onto an element, as if dragged from outside the page. At least one of "paths" or "data" must be provided.
+- ToolName: browser_fill_form        Description: Fill multiple form fields
+- ToolName: browser_press_key        Description: Press a key on the keyboard
+- ToolName: browser_type             Description: Type text into editable element
+- ToolName: browser_navigate         Description: Navigate to a URL
+- ToolName: browser_navigate_back    Description: Go back to the previous page in the history
+- ToolName: browser_network_requests Description: Returns a numbered list of network requests since loading the page. Use browser_network_request with the number to get full details.
+- ToolName: browser_network_request  Description: Returns full details (headers and body) of a single network request, or a single part if `part` is set. Use the number from browser_network_requests.
+- ToolName: browser_run_code_unsafe  Description: Run a Playwright code snippet. Unsafe: executes arbitrary JavaScript in the Playwright server process and is RCE-equivalent.
+- ToolName: browser_take_screenshot  Description: Take a screenshot of the current page. You can't perform actions based on the screenshot, use browser_snapshot for actions.
+- ToolName: browser_snapshot         Description: Capture accessibility snapshot of the current page, this is better than screenshot
+- ToolName: browser_click            Description: Perform click on a web page
+- ToolName: browser_drag             Description: Perform drag and drop between two elements
+- ToolName: browser_hover            Description: Hover over element on page
+- ToolName: browser_select_option    Description: Select an option in a dropdown
+- ToolName: browser_tabs             Description: List, create, close, or select a browser tab.
+- ToolName: browser_wait_for         Description: Wait for text to appear or disappear or a specified time to pass
+
+===== Execution Logs =====
+| browser_navigate {"url": "https://www.google.com/search?q=Emerging+Properties+in+Self-Supervised+Vision+Transformers+arxiv"}
+| browser_navigate {"url": "https://arxiv.org/search/?query=Emerging+Properties+in+Self-Supervised+Vision+Transformers&searchtype=all"}
+| browser_navigate {"url": "https://arxiv.org"}
+| browser_tabs {"action": "list"}
+| browser_close {}
+| browser_navigate {"url": "https://arxiv.org/search/?query=Emerging+Properties+in+Self-Supervised+Vision+Transformers&searchtype=all"}
+| browser_snapshot {}
+| browser_run_code_unsafe {"code": "async (page) => {\n  await page.goto('https://arxiv.org/search/?query=Emerging+Properties+in+Self-Supervised+Vision+Transformers&searchtype=all', { timeout: 30000 });\n  return await page.title();\n}"}
+| browser_run_code_unsafe {"code": "async (page) => {\n  await page.goto('https://arxiv.org/search/?query=Emerging+Properties+in+Self-Supervised+Vision+Transformers&searchtype=all', { timeout: 60000, waitUntil: 'domcontentloaded' });\n  return await page.title();\n}"}
+| browser_run_code_unsafe {"code": "async (page) => {\n  return await page.evaluate(() => navigator.onLine);\n}"}
+| browser_navigate {"url": "about:blank"}
+| browser_run_code_unsafe {"code": "async (page) => {\n  await page.goto('https://arxiv.org/abs/2104.14294', { timeout: 30000, waitUntil: 'domcontentloaded' });\n  return await page.title();\n}"}
+| browser_snapshot {}
+Mathilde Caron

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_323/messages.json

@@ -0,0 +1,175 @@
+[
+  {
+    "content": "Please use Playwright MCP tools to finish the following task:\n\n### Task: Look up a paper on arXiv\n\nUse Playwright MCP tools to **search the web** for the arXiv paper titled:\n\n    Emerging Properties in Self-Supervised Vision Transformers\n\nFind and open its arXiv abstract page (URL of the form `https://arxiv.org/abs/...`).\n\nThen provide the complete name of the first author..\n\nYour final reply must contain ONLY that value — no preamble, labels, units, or extra words.\n\nUse Playwright MCP tools to complete this web task.",
+    "role": "user"
+  },
+  {
+    "arguments": "{\"url\": \"https://www.google.com/search?q=Emerging+Properties+in+Self-Supervised+Vision+Transformers+arxiv\"}",
+    "call_id": "call_00_pOffxvMkKj65n3bX9sWz1412",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_pOffxvMkKj65n3bX9sWz1412",
+    "output": "{\"type\": \"text\", \"text\": \"Error: Tool call 'browser_navigate' timed out after 60 seconds\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/search/?query=Emerging+Properties+in+Self-Supervised+Vision+Transformers&searchtype=all\"}",
+    "call_id": "call_00_zjcQnGXzB7RwVlMPekq05934",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_zjcQnGXzB7RwVlMPekq05934",
+    "output": "{\"type\": \"text\", \"text\": \"Error: Tool call 'browser_navigate' timed out after 60 seconds\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org\"}",
+    "call_id": "call_00_mY4JshCr7TkBelUdacDZ9869",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_mY4JshCr7TkBelUdacDZ9869",
+    "output": "{\"type\": \"text\", \"text\": \"Error: Tool call 'browser_navigate' timed out after 60 seconds\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"action\": \"list\"}",
+    "call_id": "call_00_4UdYvjMh1ifeKiJm5PfX2837",
+    "name": "browser_tabs",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_4UdYvjMh1ifeKiJm5PfX2837",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Error\\\\nTimeoutError: browserBackend.callTool: Timeout 30000ms exceeded.\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": true}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_YGy5wlBHqldGn9RG4xWE6884",
+    "name": "browser_close",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_YGy5wlBHqldGn9RG4xWE6884",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Result\\\\nNo open tabs. Navigate to a URL to create one.\\\\n### Ran Playwright code\\\\n```js\\\\nawait page.close()\\\\n```\\\\n### Page\\\\n- Page URL: https://arxiv.org/\\\\n- Page Title: arXiv.org e-Print archive\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": false}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"url\": \"https://arxiv.org/search/?query=Emerging+Properties+in+Self-Supervised+Vision+Transformers&searchtype=all\"}",
+    "call_id": "call_00_AMbPgAVyGJknH4P0RekX4865",
+    "name": "browser_navigate",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_AMbPgAVyGJknH4P0RekX4865",
+    "output": "{\"type\": \"text\", \"text\": \"Error: Tool call 'browser_navigate' timed out after 60 seconds\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{}",
+    "call_id": "call_00_30KtMKE157pUwoTjufmM4304",
+    "name": "browser_snapshot",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
+  {
+    "call_id": "call_00_30KtMKE157pUwoTjufmM4304",
+    "output": "{\"type\": \"text\", \"text\": \"{\\\"meta\\\": null, \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": \\\"### Error\\\\nTimeoutError: browserBackend.callTool: Timeout 30000ms exceeded.\\\", \\\"annotations\\\": null, \\\"meta\\\": null}], \\\"structuredContent\\\": null, \\\"isError\\\": true}\", \"annotations\": null, \"meta\": null}",
+    "type": "function_call_output"
+  },
+  {
+    "arguments": "{\"code\": \"async (page) => {\\n  await page.goto('https://arxiv.org/search/?query=Emerging+Properties+in+Self-Supervised+Vision+Transformers&searchtype=all', { timeout: 30000 });\\n  return await page.title();\\n}\"}",
+    "call_id": "call_00_sFB8GroV11r4mDA2v1cl9544",
+    "name": "browser_run_code_unsafe",
+    "type": "function_call",
+    "id": "__fake_id__"
+  },
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text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Hugo Touvron\\\\\\\" [ref=e46] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Touvron,+H\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Ishan Misra\\\\\\\" [ref=e47] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Misra,+I\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Herv\\\\u00e9 J\\\\u00e9gou\\\\\\\" [ref=e48] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=J%C3%A9gou,+H\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Julien Mairal\\\\\\\" [ref=e49] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Mairal,+J\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Piotr Bojanowski\\\\\\\" [ref=e50] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Bojanowski,+P\\\\n            - text: \\\\\\\",\\\\\\\"\\\\n            - link \\\\\\\"Armand Joulin\\\\\\\" [ref=e51] [cursor=pointer]:\\\\n              - /url: https://arxiv.org/search/cs?searchtype=author&query=Joulin,+A\\\\n          - blockquote [ref=e52]: \\\\\\\"In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets). Beyond the fact that adapting self-supervised methods to this architecture works particularly well, we make the following observations: first, self-supervised ViT features contain explicit information about the semantic segmentation of an image, which does not emerge as clearly with supervised ViTs, nor with convnets. Second, these features are also excellent k-NN classifiers, reaching 78.3% top-1 on ImageNet with a small ViT. Our study also underlines the importance of momentum encoder, multi-crop training, and the use of small patches with ViTs. We implement our findings into a simple self-supervised method, called DINO, which we interpret as a form of self-distillation with no labels. We show the synergy between DINO and ViTs by achieving 80.1% top-1 on ImageNet in linear evaluation with ViT-Base.\\\\\\\"\\\\n          - table \\\\\\\"Additional metadata\\\\\\\" [ref=e54]:\\\\n            - rowgroup [ref=e55]:\\\\n              - 'row \\\\\\\"Comments: 21 pages\\\\\\\" [ref=e56]':\\\\n                - cell \\\\\\\"Comments:\\\\\\\" [ref=e57]\\\\n                - cell \\\\\\\"21 pages\\\\\\\" [ref=e58]\\\\n              - 'row \\\\\\\"Subjects: Computer Vision and Pattern Recognition (cs.CV)\\\\\\\" [ref=e59]':\\\\n                - cell \\\\\\\"Subjects:\\\\\\\" [ref=e60]\\\\n                - cell \\\\\\\"Computer Vision and Pattern Recognition (cs.CV)\\\\\\\" [ref=e61]\\\\n              - 'row \\\\\\\"Cite as: arXiv:2104.14294 [cs.CV]\\\\\\\" [ref=e62]':\\\\n                - cell \\\\\\\"Cite as:\\\\\\\" [ref=e63]\\\\n                - cell \\\\\\\"arXiv:2104.14294 [cs.CV]\\\\\\\" [ref=e64]:\\\\n                  - generic [ref=e65]:\\\\n                    - link \\\\\\\"arXiv:2104.14294\\\\\\\" [ref=e66] [cursor=pointer]:\\\\n                      - 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+    ],
+    "role": "assistant",
+    "status": "completed",
+    "type": "message"
+  }
+]

synth/generators/playwright/runs/realweb5/run-1/synth_web_search_fact_323/result.json

@@ -0,0 +1,19 @@
+{
+  "category": "synth_web_search_fact_323",
+  "key_type": "web_search_fact",
+  "run": 1,
+  "api_key": "...5ffa",
+  "success": true,
+  "verify_rc": 0,
+  "verify_stdout": "\u2705 correct answer: Mathilde Caron\n\ud83c\udf89 All checks passed!",
+  "verify_stderr": "",
+  "turn_count": 14,
+  "token_usage": {
+    "input_tokens": 78681,
+    "output_tokens": 1349,
+    "total_tokens": 80030,
+    "reasoning_tokens": 518
+  },
+  "litellm_run_model_name": "deepseek-v4-pro",
+  "agent_time": 450.80799984931946
+}