Run step
Step 3: assistant
thinking
Calls code_execution
{
"code": "import json\nfor q in [\"METR 2026 AI developer productivity uplift study\",\"AI R&D automation speedup measured 2026 software progress\"]:\n r=await web_search({\"query\":q})\n for x in r[:5]:\n print(x.get('title'),x.get('url'),x.get('page_age'));print(x.get('content','')[:400].replace('\\n',' '));print('--')"
}Calls web_search
{
"query": "METR 2026 AI developer productivity uplift study"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_01SFJA4Tp1uJ2Upmv5Z7QokH"
},
"content": [
{
"url": "https://metr.org/blog/2026-02-24-uplift-update/",
"type": "web_search_result",
"title": "We are Changing our Developer Productivity Experiment Design - METR",
"page_age": "262 days ago",
"encrypted_content": "EssNCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDN7jzEFiPQSmWgB4eRoMw28IaRH8i5KRfyL0IjDSnfbgjGCb5V5KEzveoe7ieMdvcqQZW8A7ZEzoTgt0Hh7TSBMBZ+a1GkTTI6gXqaMqzgxD1t8LOCYsa8sC7/jQEhlwKYhKxbEqkwlyJ9Qj1BAwvXTSViE/R3GyeexZza5W9z07uD1tpMD1FAXZnf3vm6j4xi7DfEVwMjclnc7ysufDMVUk6osN5SbR3YfVbAuYP7RnuvtwOuUw3g7pD9Xe52ReZkdS4mPsQUbEmT/ja2AeIua1JlrA2GM6kJQLpCRNKxFDsVTh7Dmh0/Qt8SoYqd64Vwb1dpr52f5t5ihkHZ06YzH+pL2RJcccmFzbTe72aRMIeFD9Y8is7FCIRO4OoV7gg4GYpCaKDW8l1oHtKm21+tFwJ75mOg56WKhQKlbJOZt86YGoWUzpmfK/qACnjbWvID/7+dgjdOIW699I5nMNP9eZwmWbvNSLq2RDYcVpVIjVlFbc465zMe1p0KDSJaRaK0EiA5zZ5U8ljck9O1uAAfhArdRiBuDy6v+BjgrBhU/5pZ1AqV7DNd64oIChxT/ntuYYNmWZezeIqAenbA8aQAL4yifBG7N4QaZloQ82XZJNR1Mj9BFyZAEzgWLrZZ0U3QXds/ia2SO2qnKYkPxiQ13X7xahzUXHDU1GmkHeFStl2tdLvr6pIyKzof+v4KQUJimm7LkRPzlHgkOO+mMhCRO3WtXclf4mG29mR5s6i5NTb83mHxNRDlWySn4evc95g0qwitp4/aJqYW0qZBzUFnogRl90xxlzT7of6XO2QhPAR+I62Q2AhZUdkZeGcY6vcdfpaz1jgwtHAxVoqpMegRPYtlocm3iUZ9LevDPVZfpj3a1kms5gyYyRr+4o6Ik4nnW8dFdAwshr4Jdr3ql251OSc/ETgX1oZI/eDXGpkp0/tiLs++ZVfyD2h3rJNQ5IGhPmbxTr9ZB0pjt9Va0o8XgOfMC0L59qNIYXHyfthGD3ntd6D11BmJ3a+Y6rd7HFbjKzCZ0CzevvtWJi/Y52L9o5Em5zgOQBQsUpnpRFunIWO/ifJit87fq8NKadMiaYDIHItgfBuhQim8KGexHnPMAhyEtCt8W0g7wQ2gZqcDv3LO/2paZfHSlGqz/HcKBw6/WSdc8iC/4As4LHzLo+8y2ZLqbztheQn3FuWrJfW8D832vftaRueO7d0C03mI1pHtWI3RPACBsLG6dID+1SlnN1VmJaINcJ7EewbfQb4ayzOcxS++qejqecdvOGDGpqsvhM+87M5ESAPUBcsykhT7JMNDvtRcVBLMNtpI29JrSLLRoksVE1h6saa3Rfcg1HNMeCJmfA5h/IfIPcmLa6E9O8HYYrTETUfbjo2fB5EeFzQAl/jTbfBexu3A2Y1hGhm3ZDVwPbRk+rNLJgrvw00JEilsQb0AEhimxJ8/gWr469aIejmM6W4n6x0sZQ6R72mtDK9WDLClxqMpJdJFTdpuKJXkEqYWIhGrykTCEOAaWW75otIVFVVxRVXi8tfUr4PgUqsyU/0m5ZXWwzsjd+6TDEK1+vCbyrmpZG736Q16sTj0wJBdnvvKdC25WKnJS2/10lLeszAmya/vYTS9GNnx0gPTUV13FzlX0tspy/ZsPy+RGjUhrffyi4AYQ+NPjGgvAMajfVUb4pfrfGkBBUe2H1uMqWvhbnDJYm1huLEkaUEXWIZFxc9sLB9KYo/UkKmE/Y8MMb6nlVJJ6AsxknRIP3CSGzATtcRC7tm/Nra9NFICjIDDGt8Tau+Vm9OzEe+2OSTyvLI9ixoumAFMPxVrKLAbi0lecLleR7iudb1IJYyZmI1FlvOLZhJU4Pis6N1sXI14u9d7/cPo2PUGIn9bXQJtsecG/s8XTKZQYADEqQMR7jffE6xDuagzTuPk7Hsoku07CYoLsTKSZw3gL3bnzHd0p/CBPSJz65oEJBz4wRWc6o3+2fBF5pLrUKfept8Cr2FVZ45IjiOXm7WrHniXaV1EIDaC9QlqavxX+RjOQVg/E4fjl0DNVnAtNggGc+pnkgfaRtEebrXB7Qcq+IddPeE2+wAj69JPaQeCWsiFpJvQNlHKtQn2DcQ1541HUEhDrIb13J/yeAoDhxkkczXQ7aANtW32JP1Z00sg82D+dokRXpkSHIH2EowVh5v6yIBVbw+vfLCqSZQ/q90W3/SPU2V2yZ/f11zLs3JQyabflh5NWTpheXY/HHAK/oXd/hJvBGrxkBm2LkawcVTKYYAw=="
},
{
"url": "https://metr.org/notes/2026-02-17-exploratory-transcript-analysis-for-estimating-time-savings-from-coding-agents/",
"type": "web_search_result",
"title": "Analyzing coding agent transcripts to upper bound productivity gains from AI agents - METR",
"page_age": "269 days ago",
"encrypted_content": "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"
},
{
"url": "https://www.matthewswong.com/en/blog/metr-developer-productivity-2026-uplift-update/",
"type": "web_search_result",
"title": "METR AI Developer Productivity Study 2026: What It Really Says",
"page_age": "27 days ago",
"encrypted_content": "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"
},
{
"url": "https://ingenire.com/blog/metr-2026-developer-productivity-study",
"type": "web_search_result",
"title": "METR 2026 Study: What the AI Productivity Data Shows",
"page_age": "36 days ago",
"encrypted_content": "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"
},
{
"url": "https://particula.tech/blog/metr-reversed-19-percent-slower-ai-coding-study",
"type": "web_search_result",
"title": "METR Didn't Reverse Its 19% AI Slowdown (2026 Update)",
"page_age": "134 days ago",
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"title": "18% Faster: METR, McKinsey, GitHub on AI Coding",
"page_age": "126 days ago",
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}
],
"tool_use_id": "srvtoolu_01S5N1bGFNPP3xci8CZ8ecUv"
}code_execution_tool_result
{
"type": "code_execution_tool_result",
"content": {
"type": "encrypted_code_execution_result",
"stderr": "Traceback (most recent call last):\n File \"/usr/local/lib/python3.11/asyncio/runners.py\", line 190, in run\n return runner.run(main)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.11/asyncio/runners.py\", line 118, in run\n return self._loop.run_until_complete(task)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.11/asyncio/base_events.py\", line 654, in run_until_complete\n return future.result()\n ^^^^^^^^^^^^^^^\n File \"/tmp/srvtoolu_01SFJA4Tp1uJ2Upmv5Z7QokH/cell.py\", line 12, in <module>\n print(x.get('title'),x.get('url'),x.get('page_age'));print(x.get('content','')[:400].replace('\\n',' '));print('--')\n ^^^^^\nAttributeError: 'str' object has no attribute 'get'\n",
"content": [],
"return_code": 1,
"encrypted_stdout": "Eo4BCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDDtFV9hUjXnqAXf0bBoM6kn2RPLNkg9C69jpIjAfSxSbnXRv7DdM8C82iq+Jy95HqjzOvrnEuqjy4H9iZoeAUTV/X1FRlwUgdKTPGwEqEjDGPvQVh0GODM9w/nhCh4YYdxgD"
},
"tool_use_id": "srvtoolu_01SFJA4Tp1uJ2Upmv5Z7QokH"
}Calls code_execution
{
"code": "for q in [\"METR 2026 AI developer productivity uplift study\",\"AI R&D automation speedup measured 2026\"]:\n r=await web_search({\"query\":q})\n if isinstance(r,str): r=json.loads(r)\n for x in r[:5]:\n if isinstance(x,str): print(x[:300]); continue\n print(x.get('title'),x.get('url'),x.get('page_age'));print(x.get('content','')[:500].replace('\\n',' '));print('--')"
}Calls web_search
{
"query": "METR 2026 AI developer productivity uplift study"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_01M6HGKRBbDZh6DoV6Zgttk8"
},
"content": [
{
"url": "https://metr.org/blog/2026-02-24-uplift-update/",
"type": "web_search_result",
"title": "We are Changing our Developer Productivity Experiment Design - METR",
"page_age": "262 days ago",
"encrypted_content": "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"
},
{
"url": "https://metr.org/notes/2026-02-17-exploratory-transcript-analysis-for-estimating-time-savings-from-coding-agents/",
"type": "web_search_result",
"title": "Analyzing coding agent transcripts to upper bound productivity gains from AI agents - METR",
"page_age": "269 days ago",
"encrypted_content": "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"
},
{
"url": "https://www.matthewswong.com/en/blog/metr-developer-productivity-2026-uplift-update/",
"type": "web_search_result",
"title": "METR AI Developer Productivity Study 2026: What It Really Says",
"page_age": "27 days ago",
"encrypted_content": "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"
},
{
"url": "https://ingenire.com/blog/metr-2026-developer-productivity-study",
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"type": "web_search_result",
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{
"url": "https://arxiv.org/pdf/2602.21012",
"type": "web_search_result",
"title": "International AI Safety Report 2026",
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"url": "https://arxiv.org/pdf/2608.14426",
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"url": "https://arxiv.org/pdf/2604.22766",
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{
"url": "https://arxiv.org/pdf/2609.00137",
"type": "web_search_result",
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"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"
},
"tool_use_id": "srvtoolu_01M6HGKRBbDZh6DoV6Zgttk8"
}thinking
Calls read_page
{
"url": "https://metr.org/blog/2026-11-05-anthropic-ai-rd-acceleration-assessment/",
"max_chars": 9000
}