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Grok 4.3 (Venice) on Implement a spec exactly, with nothing extra

XGrok 4.3 (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Cost
$0.0058
Wall time
11s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

Implement SPEC.md exactly. Then stop. Do not add anything the spec does not ask for.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): Implement SPEC.md exactly. Then stop. Do not add anything the spec does not ask for. Inspired by https://x.com/mave99a/status/2096480295692460432 (unverified; not checked with the author). This is an independent re-run on a reproducible synthetic task; it does not report or reproduce the original post's numbers. Cost is real Venice spend (paid from DIEM credit), as reported by Venice.

Success criteria: All automated rubric checks pass: hidden test test_flow; hidden test test_overwrite; under 60 non-blank lines; no classes; no extra files; stdlib only (no non-stdlib imports).

Setup notes: Harness: venice-mini-agent v1.2 via Venice OpenAI-compatible API. Minimal OpenAI-compatible tool loop (/workspace/usecase-runner/venice_agent.py): tools list_files/read_file/write_file/run_shell in the work dir, max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, $0.08 per-run cost cap. Identical for all Venice models. Cost source: Venice /api/v1/models model_spec.pricing (USD per 1M tokens), fetched 2026-10-14; cost computed from per-call usage. Paid from Bob's DIEM daily allowance. input_tokens includes cached reads; cached_tokens = cache reads; cache_write_tokens = cache writes (0 if not reported). Single run, no retries; scored automatically (6/6 checks). Runner notes: Adapted: 24h Codex run scaled to a minimal-spec task scored on spec adherence and over-engineering limits. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.

Metrics

Cost
$0.0058
Wall time
11s
Human step-ins
0
Turns
6
Model usage
ModelInput tokOutput tokCost
XGrok 4.3 (Venice)venice/grok-4-34,491713$0.0058

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Grok 4.3 (Venice) (venice/grok-4-3) via venice-mini-agent v1.2, cloud.
  3. It counts as a success only if it meets every success criterion: All automated rubric checks pass: hidden test test_flow; hidden test test_overwrite; under 60 non-blank lines; no classes; no extra files; stdlib only (no non-stdlib imports).
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
{"turn": 1, "response": {"id": "c8734f69-47a5-982b-909b-3dfc6f1d8a04", "object": "chat.completion", "created": 1792023468, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 347 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_c8734f69-47a5-982b-909b-3dfc6f1d8a04", "data": "X1EMvZ2KsY1grzikOY+gfgWe4Qe6sb622XjBdrvflvSbYwknhK+fZ9i01nB2YcqE0gh8FpWLB9bxutvpDZVHoaozQBE8rgf891WcJdlHjAIFaSnTjrIQ76QA6dZCWdcek9b2JPGpVWwL9udXfW9hPf7IGEYZLf7zYY6AS8ZVjLmcIUkVd8OGw96vyCaOSQt0gPp8Gka5lBta0grjmkay0FRqvsQWQf1DlWB0vDlGVQKEmhi2isDwwxfqo2HGl1FFRpJ8ffGr1SbU6PmCP6R9tbNACDiQijRQqgJoGKC9GX9xuWrg8NVfO51ryhOkbdIt1lxK"}], "tool_calls": [{"id": "call-a56f7294-3e29-414b-a2fa-482274d1c28c-0", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\":\".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 500, "completion_tokens": 56, "total_tokens": 556, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 46}}, "cost": {"usd": 0, "diem": 0.0007161600000000001}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 1, "tool": "list_files", "args": {"path": "."}, "result": "./SPEC.md"}
{"turn": 2, "response": {"id": "0e492835-14be-9e48-9151-c65171ca3998", "object": "chat.completion", "created": 1792023471, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 271 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_0e492835-14be-9e48-9151-c65171ca3998", "data": "+eYytNedfMEt2BpZCBvUoFYYOh4yMDVEI8cxdEmegDpQA736zwoHCL3Ep5ceZ22HiVh34io3qJPG7bwHMQoGABw8GqEuP/cAbuxptMdSjFB0DFpLD9MBD08Rgw01xDuQ5PNAfx/fqOWwJ9It2LM3SjL1LxNht8a5v/VVypRnM45/zecwK7+H1PXQfplYWeYehLefZKMMeCmkorcQDFcjj20GmXsB5Q0L7g+EDmffKB1Ahe6w3OJQLe/n"}], "tool_calls": [{"id": "call-eb976a70-6a0e-46f5-bb69-df8a3af5c4ff-1", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"SPEC.md\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 518, "completion_tokens": 49, "total_tokens": 567, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 38}}, "cost": {"usd": 0, "diem": 0.0007219100000000001}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 2, "tool": "read_file", "args": {"path": "SPEC.md"}, "result": "# kv.py spec\nA tiny key-value store CLI. Single file kv.py, Python 3 stdlib only, data persisted in kv.json in the current directory.\nCommands:\n- python3 kv.py set KEY VALUE   -> prints OK\n- python3 kv.py get KEY         -> prints VALUE, or prints \"NOT FOUND\" and exits 1\n- python3 kv.py del KEY         -> prints OK, or \"NOT FOUND\" and exits 1\n- python3 kv.py list            -> prints keys sorted, one per line\nKeep it minimal: no classes, no extra features, no extra files, under 60 non-blank lines.\n"}
{"turn": 3, "response": {"id": "cb94d9ac-3a3c-9d9d-8edd-597b114bf139", "object": "chat.completion", "created": 1792023472, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "I will implement SPEC.md exactly. I will not add anything beyond what the spec requires.\n\n[encrypted reasoning omitted, 725 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_cb94d9ac-3a3c-9d9d-8edd-597b114bf139", "data": "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"}], "tool_calls": [{"id": "call-6da3a201-1f7e-4058-89c2-caceda16a063-2", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\":\".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 666, "completion_tokens": 138, "total_tokens": 804, "prompt_tokens_details": {"cached_tokens": 512}, "cache_read_input_tokens": 512, "completion_tokens_details": {"reasoning_tokens": 128}}, "cost": {"usd": 0, "diem": 0.0007269799999999999}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 3, "tool": "list_files", "args": {"path": "."}, "result": "./SPEC.md"}
{"turn": 4, "response": {"id": "36b6e7a9-8bed-918f-b00e-009a2c33ea4f", "object": "chat.completion", "created": 1792023474, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "kv.py does not exist yet. I will create it exactly according to the spec.\n\n[encrypted reasoning omitted, 127 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_36b6e7a9-8bed-918f-b00e-009a2c33ea4f", "data": "IEwm4leGk/WG9ITiTTpWC/juBKPeoj9KEM1tkMRw4qK339E79ZZLY/apajBCCSQv4lok5gs3+a69h1rMRjZ+vg9lkfJX95zNRhFkiaBH"}], "tool_calls": [{"id": "call-c8317cdc-1597-489b-b325-4e373b116d8c-3", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"kv.py\",\"content\":\"#!/usr/bin/env python3\\nimport json\\nimport sys\\nimport os\\n\\nDATA_FILE = \\\"kv.json\\\"\\n\\ndef load():\\n    if not os.path.exists(DATA_FILE):\\n        return {}\\n    with open(DATA_FILE) as f:\\n        return json.load(f)\\n\\ndef save(data):\\n    with open(DATA_FILE, \\\"w\\\") as f:\\n        json.dump(data, f)\\n\\ndef main():\\n    if len(sys.argv) < 2:\\n        sys.exit(1)\\n    cmd = sys.argv[1]\\n    data = load()\\n    if cmd == \\\"set\\\":\\n        if len(sys.argv) != 4:\\n            sys.exit(1)\\n        data[sys.argv[2]] = sys.argv[3]\\n        save(data)\\n        print(\\\"OK\\\")\\n    elif cmd == \\\"get\\\":\\n        if len(sys.argv) != 3:\\n            sys.exit(1)\\n        key = sys.argv[2]\\n        if key in data:\\n            print(data[key])\\n        else:\\n            print(\\\"NOT FOUND\\\")\\n            sys.exit(1)\\n    elif cmd == \\\"del\\\":\\n        if len(sys.argv) != 3:\\n            sys.exit(1)\\n        key = sys.argv[2]\\n        if key in data:\\n            del data[key]\\n            save(data)\\n            print(\\\"OK\\\")\\n        else:\\n            print(\\\"NOT FOUND\\\")\\n            sys.exit(1)\\n    elif cmd == \\\"list\\\":\\n        if len(sys.argv) != 2:\\n            sys.exit(1)\\n        for k in sorted(data.keys()):\\n            print(k)\\n    else:\\n        sys.exit(1)\\n\\nif __name__ == \\\"__main__\\\":\\n    main()\\n\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 684, "completion_tokens": 360, "total_tokens": 1044, "prompt_tokens_details": {"cached_tokens": 640}, "cache_read_input_tokens": 640, "completion_tokens_details": {"reasoning_tokens": 14}}, "cost": {"usd": 0, "diem": 0.0012284800000000001}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 4, "tool": "write_file", "args": {"path": "kv.py", "content": "#!/usr/bin/env python3\nimport json\nimport sys\nimport os\n\nDATA_FILE = \"kv.json\"\n\ndef load():\n    if not os.path.exists(DATA_FILE):\n        return {}\n    with open(DATA_FILE) as f:\n        return json.load(f)\n\ndef save(data):\n    with open(DATA_FILE, \"w\") as f:\n        json.dump(data, f)\n\ndef main():\n    if len(sys.argv) < 2:\n        sys.exit(1)\n    cmd = sys.argv[1]\n    data = load()\n    if cmd == \"set\":\n        if len(sys.argv) != 4:\n            sys.exit(1)\n        data[sys.argv[2]] = sys.argv[3]\n        save(data)\n        print(\"OK\")\n    elif cmd == \"get\":\n        if len(sys.argv) != 3:\n            sys.exit(1)\n        key = sys.argv[2]\n        if key in data:\n            print(data[key])\n        else:\n            print(\"NOT FOUND\")\n            sys.exit(1)\n    elif cmd == \"del\":\n        if len(sys.argv) != 3:\n            sys.exit(1)\n        key = sys.argv[2]\n        if key in data:\n            del data[key]\n            save(data)\n            print(\"OK\")\n        else:\n            print(\"NOT FOUND\")\n            sys.exit(1)\n    elif cmd == \"list\":\n        if len(sys.argv) != 2:\n            sys.exit(1)\n        for k in sorted(data.keys()):\n            print(k)\n    else:\n        sys.exit(1)\n\nif __name__ == \"__main__\":\n    main()\n"}, "result": "wrote 1244 chars"}
{"turn": 5, "response": {"id": "dd6bf307-eae2-9020-9876-4906d4b5abee", "object": "chat.completion", "created": 1792023477, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 342 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_dd6bf307-eae2-9020-9876-4906d4b5abee", "data": "2AAdInt7q66zAFR6pcjvhHwtPRdoWurkG+BGAPE7z+SIDeeEzCP/IhovxNA/JJhhzWZuJEgRTuMUkmbvmX+3b6kAruoAnfjHVsq9xlytFq0a/56UR5R+d67jnrMOPh6wXNl/4sYymhBvcU6E0ad7E0htAU7INthLQip7PpH2WRroV4OciNyXW72Hkya0EirP++6U6oEqTGdDMbrhmIHHSSBK2ifB6fAxloP/F+wL/CPKGEayE1oGhYNiFAcm5HLjx0Y+5pUgKEISm9xVPPficJgDWwO7OcJt9DUBIDW8/0/kq4N1x9NGztsqZ80UDVs"}], "tool_calls": [{"id": "call-ebe7ef73-5b84-419e-83a7-2d3ae052b7f3-4", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"wc -l kv.py && grep -c '^$' kv.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1041, "completion_tokens": 75, "total_tokens": 1116, "prompt_tokens_details": {"cached_tokens": 640}, "cache_read_input_tokens": 640, "completion_tokens_details": {"reasoning_tokens": 53}}, "cost": {"usd": 0, "diem": 0.0009288699999999999}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}
{"turn": 5, "tool": "run_shell", "args": {"command": "wc -l kv.py && grep -c '^$' kv.py"}, "result": "exit=0\nstdout:\n58 kv.py\n5\n\nstderr:\n"}
{"turn": 6, "response": {"id": "2da46618-18cb-93aa-ac15-a191eab85a0d", "object": "chat.completion", "created": 1792023478, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Done.", "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 209 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_2da46618-18cb-93aa-ac15-a191eab85a0d", "data": "6V21ZuHzfNm2M11R2ZrVqZoVpWUaKdo8KwwOUcRbD5MYvWTW08e8WeDpGQ68q+j2VNo1GlM3MTCS5X/PJ/QIC+Qi0QGqP2yUVxJf72mqt/LwQpNkbRoiXG1lZQBqwK3gAjq6CxsZxcs24co/uTGRtkdbcuQW7fLIYbUukoMjQ33mPhUaCA7JIRAL/Q"}]}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1082, "completion_tokens": 35, "total_tokens": 1117, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 33}}, "cost": {"usd": 0, "diem": 0.00148317}, "venice_parameters": {"strip_thinking_response": false, "disable_thinking": false, "enable_e2ee": true, "enable_web_search": "off", "enable_web_scraping": false, "enable_web_citations": false, "include_search_results_in_stream": false, "include_venice_system_prompt": false, "enable_x_search": false, "web_search_citations": [], "return_search_results_as_documents": false}}}

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