DeepSeek V4.1 Flash (Venice) on Analyze five months of AI coding-agent session logs

{"turn": 1, "response": {"id": "chatcmpl-7353dfed3a79400a8c587b73ab244dc5", "object": "chat.completion", "created": 1792020746, "model": "deepseek-v4-1-flash", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Let me start by inspecting the files.", "tool_calls": [{"index": 0, "id": "chatcmpl-tool-92f8b46d4ad71b68", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\": \".\"}"}, "name": null}, {"index": 1, "id": "chatcmpl-tool-bc2f9818c784cd0b", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"head -5 sessions.csv; echo \\\"---\\\"; wc -l sessions.csv\"}"}, "name": null}], "tools": null}, "finish_reason": "tool_calls"}], "usage": {"prompt_tokens": 630, "completion_tokens": 90, "total_tokens": 720, "prompt_tokens_details": {"cached_tokens": 374}, "cache_read_input_tokens": 374, "completion_tokens_details": {"reasoning_tokens": 8}}, "cost": {"usd": 0, "diem": 0.000187605}, "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": "./sessions.csv"}
{"turn": 1, "tool": "run_shell", "args": {"command": "head -5 sessions.csv; echo \"---\"; wc -l sessions.csv"}, "result": "exit=0\nstdout:\nsession_id,month,tool,minutes,prs_opened,api_equiv_usd\ns0000,2026-09,codex,93,2,23.56\ns0001,2026-09,claude-code,121,0,16.24\ns0002,2026-06,claude-code,97,1,21.72\ns0003,2026-08,claude-code,148,0,0.38\n---\n401 sessions.csv\n\nstderr:\n"}
{"turn": 2, "response": {"id": "chatcmpl-174f1cd1298c40bb8ea1e15c188ccc68", "object": "chat.completion", "created": 1792020747, "model": "deepseek-v4-1-flash", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Let me inspect the data more.", "tool_calls": [{"index": 0, "id": "chatcmpl-tool-83572a14117ecda0", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"cd . && python3 -c \\\"\\nimport csv\\nrows=list(csv.DictReader(open('sessions.csv')))\\nprint(len(rows))\\nprint(set(r['tool'] for r in rows))\\nprint(sorted(set(r['month'] for r in rows)))\\nprint(rows[0])\\n# check for anomalies\\nimport collections\\nprint(collections.Counter(r['tool'] for r in rows))\\n\\\"\"}"}, "name": null}], "tools": null}, "finish_reason": "tool_calls"}], "usage": {"prompt_tokens": 853, "completion_tokens": 129, "total_tokens": 982, "prompt_tokens_details": {"cached_tokens": 500}, "cache_read_input_tokens": 500, "completion_tokens_details": {"reasoning_tokens": 7}}, "cost": {"usd": 0, "diem": 0.00026445}, "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": "run_shell", "args": {"command": "cd . && python3 -c \"\nimport csv\nrows=list(csv.DictReader(open('sessions.csv')))\nprint(len(rows))\nprint(set(r['tool'] for r in rows))\nprint(sorted(set(r['month'] for r in rows)))\nprint(rows[0])\n# check for anomalies\nimport collections\nprint(collections.Counter(r['tool'] for r in rows))\n\""}, "result": "exit=0\nstdout:\n400\n{'codex', 'claude-code'}\n['2026-05', '2026-06', '2026-07', '2026-08', '2026-09']\n{'session_id': 's0000', 'month': '2026-09', 'tool': 'codex', 'minutes': '93', 'prs_opened': '2', 'api_equiv_usd': '23.56'}\nCounter({'codex': 205, 'claude-code': 195})\n\nstderr:\n"}
{"turn": 3, "response": {"id": "chatcmpl-e411c8946cfc4c528b1d404147f7be75", "object": "chat.completion", "created": 1792020748, "model": "deepseek-v4-1-flash", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Let me check for data quality issues: missing values, non-numeric, duplicates.", "tool_calls": [{"index": 0, "id": "chatcmpl-tool-80831401b855bdc0", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"cd . && python3 -c \\\"\\nimport csv\\nrows=list(csv.DictReader(open('sessions.csv')))\\n# check anomalies\\nfor r in rows:\\n    for k in ['minutes','prs_opened','api_equiv_usd']:\\n        try:\\n            float(r[k])\\n        except:\\n            print('BAD',r)\\n# duplicates\\nids=[r['session_id'] for r in rows]\\nprint('dupes',len(ids)-len(set(ids)))\\n# empty\\nfor r in rows:\\n    if any(v=='' for v in r.values()): print('EMPTY',r)\\n\\\"\"}"}, "name": null}], "tools": null}, "finish_reason": "tool_calls"}], "usage": {"prompt_tokens": 1105, "completion_tokens": 187, "total_tokens": 1292, "prompt_tokens_details": {"cached_tokens": 724}, "cache_read_input_tokens": 724, "completion_tokens_details": {"reasoning_tokens": 17}}, "cost": {"usd": 0, "diem": 0.00034413}, "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": "run_shell", "args": {"command": "cd . && python3 -c \"\nimport csv\nrows=list(csv.DictReader(open('sessions.csv')))\n# check anomalies\nfor r in rows:\n    for k in ['minutes','prs_opened','api_equiv_usd']:\n        try:\n            float(r[k])\n        except:\n            print('BAD',r)\n# duplicates\nids=[r['session_id'] for r in rows]\nprint('dupes',len(ids)-len(set(ids)))\n# empty\nfor r in rows:\n    if any(v=='' for v in r.values()): print('EMPTY',r)\n\""}, "result": "exit=0\nstdout:\ndupes 0\n\nstderr:\n"}
{"turn": 4, "response": {"id": "chatcmpl-fce205c4b717406197c126f76d07f659", "object": "chat.completion", "created": 1792020750, "model": "deepseek-v4-1-flash", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Clean data. Compute stats.", "tool_calls": [{"index": 0, "id": "chatcmpl-tool-960dde7715829524", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"cd . && python3 -c \\\"\\nimport csv, statistics, collections, json\\nrows=list(csv.DictReader(open('sessions.csv')))\\ntotal_sessions=len(rows)\\ntotal_prs=sum(int(r['prs_opened']) for r in rows)\\ntotal_usd=sum(float(r['api_equiv_usd']) for r in rows)\\nmc=collections.Counter(r['month'] for r in rows)\\nbusiest=max(sorted(mc.items()), key=lambda x:x[1])[0]\\nmed=statistics.median(float(r['minutes']) for r in rows)\\nby=collections.defaultdict(lambda:[0.0,0])\\nfor r in rows:\\n    by[r['tool']][0]+=float(r['api_equiv_usd'])\\n    by[r['tool']][1]+=int(r['prs_opened'])\\nupr={t:round(v[0]/v[1],2) for t,v in by.items()}\\nout={'total_sessions':total_sessions,'total_prs':total_prs,'total_api_equiv_usd':round(total_usd,2),'busiest_month_by_sessions':busiest,'median_minutes':med,'usd_per_pr_by_tool':upr}\\nprint(json.dumps(out,indent=2))\\nprint(mc)\\njson.dump(out,open('answers.json','w'),indent=2)\\n\\\"\"}"}, "name": null}], "tools": null}, "finish_reason": "tool_calls"}], "usage": {"prompt_tokens": 1301, "completion_tokens": 344, "total_tokens": 1645, "prompt_tokens_details": {"cached_tokens": 976}, "cache_read_input_tokens": 976, "completion_tokens_details": {"reasoning_tokens": 6}}, "cost": {"usd": 0, "diem": 0.00051762}, "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": "run_shell", "args": {"command": "cd . && python3 -c \"\nimport csv, statistics, collections, json\nrows=list(csv.DictReader(open('sessions.csv')))\ntotal_sessions=len(rows)\ntotal_prs=sum(int(r['prs_opened']) for r in rows)\ntotal_usd=sum(float(r['api_equiv_usd']) for r in rows)\nmc=collections.Counter(r['month'] for r in rows)\nbusiest=max(sorted(mc.items()), key=lambda x:x[1])[0]\nmed=statistics.median(float(r['minutes']) for r in rows)\nby=collections.defaultdict(lambda:[0.0,0])\nfor r in rows:\n    by[r['tool']][0]+=float(r['api_equiv_usd'])\n    by[r['tool']][1]+=int(r['prs_opened'])\nupr={t:round(v[0]/v[1],2) for t,v in by.items()}\nout={'total_sessions':total_sessions,'total_prs':total_prs,'total_api_equiv_usd':round(total_usd,2),'busiest_month_by_sessions':busiest,'median_minutes':med,'usd_per_pr_by_tool':upr}\nprint(json.dumps(out,indent=2))\nprint(mc)\njson.dump(out,open('answers.json','w'),indent=2)\n\""}, "result": "exit=0\nstdout:\n{\n  \"total_sessions\": 400,\n  \"total_prs\": 256,\n  \"total_api_equiv_usd\": 4843.16,\n  \"busiest_month_by_sessions\": \"2026-09\",\n  \"median_minutes\": 88.5,\n  \"usd_per_pr_by_tool\": {\n    \"codex\": 18.39,\n    \"claude-code\": 19.5\n  }\n}\nCounter({'2026-09': 89, '2026-05': 88, '2026-08': 81, '2026-07': 74, '2026-06': 68})\n\nstderr:\n"}
{"turn": 5, "response": {"id": "chatcmpl-fad0cf9439754222a0399c375d27391c", "object": "chat.completion", "created": 1792020751, "model": "deepseek-v4-1-flash", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Let me verify the median and check for any data quirks (e.g., negative values, outliers). Let me also double check the busiest month tie handling. 2026-09 has 89, unique max. Good.\n\nLet me write REPORT.md.", "tool_calls": [{"index": 0, "id": "chatcmpl-tool-a9984a059de61eb8", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"cd . && python3 -c \\\"\\nimport csv\\nrows=list(csv.DictReader(open('sessions.csv')))\\nmins=sorted(float(r['minutes']) for r in rows)\\nprint('min',mins[0],'max',mins[-1])\\nprint('neg prs',[r for r in rows if int(r['prs_opened'])<0])\\nprint('neg usd',[r for r in rows if float(r['api_equiv_usd'])<0])\\nprint('zero prs count',sum(1 for r in rows if int(r['prs_opened'])==0))\\n\\\"\"}"}, "name": null}], "tools": null}, "finish_reason": "tool_calls"}], "usage": {"prompt_tokens": 1801, "completion_tokens": 222, "total_tokens": 2023, "prompt_tokens_details": {"cached_tokens": 1172}, "cache_read_input_tokens": 1172, "completion_tokens_details": {"reasoning_tokens": 53}}, "cost": {"usd": 0, "diem": 0.00046389000000000006}, "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 . && python3 -c \"\nimport csv\nrows=list(csv.DictReader(open('sessions.csv')))\nmins=sorted(float(r['minutes']) for r in rows)\nprint('min',mins[0],'max',mins[-1])\nprint('neg prs',[r for r in rows if int(r['prs_opened'])<0])\nprint('neg usd',[r for r in rows if float(r['api_equiv_usd'])<0])\nprint('zero prs count',sum(1 for r in rows if int(r['prs_opened'])==0))\n\""}, "result": "exit=0\nstdout:\nmin 2.0 max 180.0\nneg prs []\nneg usd []\nzero prs count 204\n\nstderr:\n"}
{"turn": 6, "response": {"id": "chatcmpl-41d518eefe0b4e829cf869ca106d8f13", "object": "chat.completion", "created": 1792020753, "model": "deepseek-v4-1-flash", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Data is clean. Now write REPORT.md.\n\nNote: usd_per_pr_by_tool uses total prs_opened for that tool, which includes zeros but that's fine.\n\nLet me write REPORT.md with 5 bullets.", "tool_calls": [{"index": 0, "id": "chatcmpl-tool-908ecb327b73dc21", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\": \"REPORT.md\", \"content\": \"# AI Coding-Agent Sessions Report\\n\\n- **Volume:** 400 sessions were logged across the 5-month window (2026-05 through 2026-09), opening a total of 256 PRs.\\n- **Cost:** Cumulative API-equivalent spend was $4,843.16, averaging roughly $12.11 per session.\\n- **Busiest month:** 2026-09 led with 89 sessions, narrowly ahead of 2026-05 (88); 2026-06 was the quietest at 68.\\n- **Session length:** The median session ran 88.5 minutes (range 2\u2013180 minutes), indicating most sessions are substantial working blocks.\\n- **Tool efficiency:** Codex cost $18.39 per PR vs. claude-code at $19.50 per PR, making Codex the slightly more cost-effective tool per PR opened.\\n\"}"}, "name": null}], "tools": null}, "finish_reason": "tool_calls"}], "usage": {"prompt_tokens": 2017, "completion_tokens": 283, "total_tokens": 2300, "prompt_tokens_details": {"cached_tokens": 1672}, "cache_read_input_tokens": 1672, "completion_tokens_details": {"reasoning_tokens": 46}}, "cost": {"usd": 0, "diem": 0.00045564}, "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": 6, "tool": "write_file", "args": {"path": "REPORT.md", "content": "# AI Coding-Agent Sessions Report\n\n- **Volume:** 400 sessions were logged across the 5-month window (2026-05 through 2026-09), opening a total of 256 PRs.\n- **Cost:** Cumulative API-equivalent spend was $4,843.16, averaging roughly $12.11 per session.\n- **Busiest month:** 2026-09 led with 89 sessions, narrowly ahead of 2026-05 (88); 2026-06 was the quietest at 68.\n- **Session length:** The median session ran 88.5 minutes (range 2\u2013180 minutes), indicating most sessions are substantial working blocks.\n- **Tool efficiency:** Codex cost $18.39 per PR vs. claude-code at $19.50 per PR, making Codex the slightly more cost-effective tool per PR opened.\n"}, "result": "wrote 653 chars"}
{"turn": 7, "response": {"id": "chatcmpl-245752b6fa2c4d61bcd0e5584f0da339", "object": "chat.completion", "created": 1792020755, "model": "deepseek-v4-1-flash", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "tool_calls": [{"index": 0, "id": "chatcmpl-tool-990d302ee72a2a16", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"cd . && cat answers.json && echo \\\"---\\\" && cat REPORT.md\"}"}, "name": null}], "tools": null}, "finish_reason": "tool_calls"}], "usage": {"prompt_tokens": 2270, "completion_tokens": 54, "total_tokens": 2324, "prompt_tokens_details": {"cached_tokens": 1888}, "cache_read_input_tokens": 1888, "completion_tokens_details": {"reasoning_tokens": 0}}, "cost": {"usd": 0, "diem": 0.00019356}, "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": 7, "tool": "run_shell", "args": {"command": "cd . && cat answers.json && echo \"---\" && cat REPORT.md"}, "result": "exit=0\nstdout:\n{\n  \"total_sessions\": 400,\n  \"total_prs\": 256,\n  \"total_api_equiv_usd\": 4843.16,\n  \"busiest_month_by_sessions\": \"2026-09\",\n  \"median_minutes\": 88.5,\n  \"usd_per_pr_by_tool\": {\n    \"codex\": 18.39,\n    \"claude-code\": 19.5\n  }\n}---\n# AI Coding-Agent Sessions Report\n\n- **Volume:** 400 sessions were logged across the 5-month window (2026-05 through 2026-09), opening a total of 256 PRs.\n- **Cost:** Cumulative API-equivalent spend was $4,843.16, averaging roughly $12.11 per session.\n- **Busiest month:** 2026-09 led with 89 sessions, narrowly ahead of 2026-05 (88); 2026-06 was the quietest at 68.\n- **Session length:** The median session ran 88.5 minutes (range 2\u2013180 minutes), indicating most sessions are substantial working blocks.\n- **Tool efficiency:** Codex cost $18.39 per PR vs. claude-code at $19.50 per PR, making Codex the slightly more cost-effective tool per PR opened.\n\nstderr:\n"}
{"turn": 8, "response": {"id": "chatcmpl-e72cf9a1137a45018f3d966239e5ea0b", "object": "chat.completion", "created": 1792020756, "model": "deepseek-v4-1-flash", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Done. Analyzed all 400 sessions in `sessions.csv` and wrote both files.\n\n**answers.json**\n- `total_sessions`: 400\n- `total_prs`: 256\n- `total_api_equiv_usd`: 4843.16\n- `busiest_month_by_sessions`: \"2026-09\" (89 sessions, edging out 2026-05's 88)\n- `median_minutes`: 88.5\n- `usd_per_pr_by_tool`: codex 18.39, claude-code 19.5\n\n**REPORT.md** \u2014 5-bullet summary covering volume, cost, busiest month, session length, and per-tool cost efficiency.", "tools": null}, "finish_reason": "stop"}], "usage": {"prompt_tokens": 2622, "completion_tokens": 156, "total_tokens": 2778, "prompt_tokens_details": {"cached_tokens": 2140}, "cache_read_input_tokens": 2140, "completion_tokens_details": {"reasoning_tokens": 0}}, "cost": {"usd": 0, "diem": 0.00034784999999999997}, "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}}}