Grok 4.3 (Venice) on Fix three bugs in a Python repo so its tests pass
XGrok 4.3 (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener
- Cost
- $0.0046
- Wall time
- 7s
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
You are working on the repository in ./repo. Fix the three bugs described in repo/ISSUES.md in textstats.py. Run the existing tests (python3 -m unittest in repo) and make sure they pass. Do not change function names or signatures.
Task prompt given to the agent (headless, offline, synthetic fixture inputs): You are working on the repository in ./repo. Fix the three bugs described in repo/ISSUES.md in textstats.py. Run the existing tests (python3 -m unittest in repo) and make sure they pass. Do not change function names or signatures. Inspired by https://x.com/bnjmn_marie/status/2089775546943312076 (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_avg; hidden test test_mc; hidden test test_wc.
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 (3/3 checks). Runner notes: Adapted: full DeepSWE (45h) scaled to a 3-bug mini-repo with hidden unit tests. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.
Metrics
- Cost
- $0.0046
- Wall time
- 7s
- Human step-ins
- 0
- Turns
- 6
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| XGrok 4.3 (Venice)venice/grok-4-3 | 4,796 | 358 | $0.0046 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Grok 4.3 (Venice) (venice/grok-4-3) via
venice-mini-agent v1.2, cloud. - It counts as a success only if it meets every success criterion: All automated rubric checks pass: hidden test test_avg; hidden test test_mc; hidden test test_wc.
- 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).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
{"turn": 1, "response": {"id": "e87631c8-b359-9cf1-90cf-82ee77558048", "object": "chat.completion", "created": 1792023461, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 366 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_e87631c8-b359-9cf1-90cf-82ee77558048", "data": "A0C0oY4VZPtT5FbWracIgw80WtgGa3jcyk1+6U5Za1iSyGkg3xKfBsJ0MvdMn4qb5Xiphtl3rHsZhlihLoO/lR5FUIq6eLWXossjC8HhWQnsMxmQCQmUHqpnI0wT81NN/i39OPrk5rZUjjTm3P6CdStS5Hs/e+M7LZxudveabKyrMRswVywyhudmoKfQLiyLiY0iARapcwnmuWx9NSEa2kJvNKeyrcJw7IblTpzYF4DhCeWjrMYeeuGpKZWaTVJopI1YfVe7yE2MhEPQidJ4z5dy1+ugj4Gt5GYliGtjvjvL25PLqiL5j4Ups6zBGNwli9YUmm6EjLIaeogQn0dT+q8"}], "tool_calls": [{"id": "call-f1f3d96e-f5d4-40e0-a170-31439c9e455a-0", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\":\"repo\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 534, "completion_tokens": 61, "total_tokens": 595, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 51}}, "cost": {"usd": 0, "diem": 0.00077859}, "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": "repo"}, "result": "repo/ISSUES.md\nrepo/test_textstats.py\nrepo/textstats.py"}
{"turn": 2, "response": {"id": "759b8f60-7dda-9dd4-8cb5-9de4de553f44", "object": "chat.completion", "created": 1792023462, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 265 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_759b8f60-7dda-9dd4-8cb5-9de4de553f44", "data": "EaYgZSgfDg04sQZWrkQ/RCCbsr1DrXi6wsTwlFzZrXEQaeF8WMU2y3uN2Pjh7IZWg18kECyvyRpaSuQ/PkfIXmipLNkgyBIL4Xa1uuH+MVA+xx0aC0jgOyK+6jyBf2EMxWJ31sgN5jeol1a9ItrzW2b8nNz03kShnvZnKgXmphyDKqV2IXEUdc42pDWX6QwhWpVvysyawdAG3lKKgsvHBQFcw6QSTbFSgl1veqymoGj/21K19w"}], "tool_calls": [{"id": "call-f4cb58e1-8942-4fcf-8f40-469235c8536e-1", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"repo/ISSUES.md\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 565, "completion_tokens": 48, "total_tokens": 613, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 34}}, "cost": {"usd": 0, "diem": 0.0007858200000000001}, "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": "repo/ISSUES.md"}, "result": "# Open issues\n1. word_count(\"hello world\") returns 4, expected 2. Newlines/tabs also break it.\n2. avg_word_length(\"\") crashes with ZeroDivisionError; should return 0.0.\n3. most_common(\"The the THE cat\") returns \"the\" only by luck and ignores capitalized words; it must be case-insensitive and break ties by alphabetical order. Empty text should return None.\n"}
{"turn": 3, "response": {"id": "b90adfef-ab3c-93c6-83c8-2f3485ff3944", "object": "chat.completion", "created": 1792023463, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 109 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_b90adfef-ab3c-93c6-83c8-2f3485ff3944", "data": "5W0dVcsQ3WmvlqiQZQjhpgTuEHTUS3gGY80hqqB7jb45AViUcZLPcqH+pIo6WAvEhXn8FOoaNXU9yGlqJUo4Bw"}], "tool_calls": [{"id": "call-9c67f7cb-8b4e-4064-b26d-bb163edbbed3-2", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"repo/textstats.py\"}"}}, {"id": "call-9c67f7cb-8b4e-4064-b26d-bb163edbbed3-3", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"repo/test_textstats.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 672, "completion_tokens": 34, "total_tokens": 706, "prompt_tokens_details": {"cached_tokens": 512}, "cache_read_input_tokens": 512, "completion_tokens_details": {"reasoning_tokens": 8}}, "cost": {"usd": 0, "diem": 0.00044118}, "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": "read_file", "args": {"path": "repo/textstats.py"}, "result": "import re\ndef word_count(text):\n return len(text.split(\" \"))\ndef avg_word_length(text):\n words = re.findall(r\"[A-Za-z']+\", text)\n return sum(len(x) for x in words) / len(words)\ndef most_common(text):\n counts = {}\n for wd in re.findall(r\"[a-z']+\", text):\n counts[wd] = counts.get(wd, 0) + 1\n return max(counts, key=counts.get)\n"}
{"turn": 3, "tool": "read_file", "args": {"path": "repo/test_textstats.py"}, "result": "import unittest\nfrom textstats import *\nclass T(unittest.TestCase):\n def test_wc(self): self.assertEqual(word_count(\"hello world\"),2)\n def test_avg_empty(self): self.assertEqual(avg_word_length(\"\"),0.0)\n def test_mc(self): self.assertEqual(most_common(\"The the THE cat\"),\"the\")\n"}
{"turn": 4, "response": {"id": "03dd897a-6a82-9c2b-98e6-22729e0bc263", "object": "chat.completion", "created": 1792023464, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "I will fix the three bugs in textstats.py without changing any function signatures.\n\n[encrypted reasoning omitted, 161 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_03dd897a-6a82-9c2b-98e6-22729e0bc263", "data": "jM4XJSnak9XRa6bKlxwqEL4fDHHLRm3iPX5UU9W+JgqD/kYZuHpX85KD8M0hKibtROX6RuYSJWOEbrwCiJqSYNkoX1A2A4pcWUNX3/9sdI/X9TRyYJ62/UXZNdjoUsV65ADUE+sxMQ"}], "tool_calls": [{"id": "call-06fd88a9-8d9b-4750-92ce-ba451d27f525-4", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"repo/textstats.py\",\"content\":\"import re\\ndef word_count(text):\\n return len(re.findall(r\\\"\\\\S+\\\", text)) if text.strip() else 0\\ndef avg_word_length(text):\\n words = re.findall(r\\\"[A-Za-z']+\\\", text)\\n return sum(len(x) for x in words) / len(words) if words else 0.0\\ndef most_common(text):\\n counts = {}\\n for wd in re.findall(r\\\"[A-Za-z']+\\\", text):\\n counts[wd.lower()] = counts.get(wd.lower(), 0) + 1\\n if not counts:\\n return None\\n return min(counts, key=lambda w: (-counts[w], w))\\n\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 884, "completion_tokens": 168, "total_tokens": 1052, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 14}}, "cost": {"usd": 0, "diem": 0.0015783999999999998}, "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": "repo/textstats.py", "content": "import re\ndef word_count(text):\n return len(re.findall(r\"\\S+\", text)) if text.strip() else 0\ndef avg_word_length(text):\n words = re.findall(r\"[A-Za-z']+\", text)\n return sum(len(x) for x in words) / len(words) if words else 0.0\ndef most_common(text):\n counts = {}\n for wd in re.findall(r\"[A-Za-z']+\", text):\n counts[wd.lower()] = counts.get(wd.lower(), 0) + 1\n if not counts:\n return None\n return min(counts, key=lambda w: (-counts[w], w))\n"}, "result": "wrote 474 chars"}
{"turn": 5, "response": {"id": "544b7c28-5c6d-9b82-b586-2a8a23cde00e", "object": "chat.completion", "created": 1792023466, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 85 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_544b7c28-5c6d-9b82-b586-2a8a23cde00e", "data": "0eNHhj/vA8EFMIV9Mu/ykn720xXhxzqTw5bkYu/3afdfhnjZb0HuWaDXKFa7rA"}], "tool_calls": [{"id": "call-6bbe4a2c-9490-47bd-81c5-23dd94292ce4-5", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"cd repo && python3 -m unittest\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1048, "completion_tokens": 22, "total_tokens": 1070, "prompt_tokens_details": {"cached_tokens": 768}, "cache_read_input_tokens": 768, "completion_tokens_details": {"reasoning_tokens": 5}}, "cost": {"usd": 0, "diem": 0.0006365}, "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": "cd repo && python3 -m unittest"}, "result": "exit=0\nstdout:\n\nstderr:\n...\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n"}
{"turn": 6, "response": {"id": "97e83c3b-e97e-9d67-8a67-2e593fdf468d", "object": "chat.completion", "created": 1792023467, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Fixed bugs in textstats.py; all tests now pass.", "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 153 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_97e83c3b-e97e-9d67-8a67-2e593fdf468d", "data": "I2TPQWp+uuhV4hbpEvGAucjxw/hdFCfH0MYg5usD6iXthJIkjqiSjYxaKXFiVyRrkMadYnb6xryB3P50quuy5go4HifkFfpA6PyzTtyGnD6QIcFc8bKVt2tR/7roxmg9nw"}]}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1093, "completion_tokens": 25, "total_tokens": 1118, "prompt_tokens_details": {"cached_tokens": 1024}, "cache_read_input_tokens": 1024, "completion_tokens_details": {"reasoning_tokens": 13}}, "cost": {"usd": 0, "diem": 0.00040425}, "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}}}