Kimi K3.1 Pro (Venice) (thinking on) on Read a synthetic annual-report excerpt and compute financial ratios

[
 {
  "segment_dir": "./usecase-runner/runs/j09-kimi-k3-1-pro/venice_output_venice",
  "venice_output": {
   "harness": "venice-mini-agent",
   "harness_version": "1.3.1",
   "max_tokens_per_call": 16000,
   "disable_thinking": false,
   "run_cost_cap": 0.25,
   "no_tools": false,
   "resumed_from": null,
   "model": "kimi-k3-1-pro",
   "start": "2026-10-24T20:12:02-0400",
   "num_turns": 5,
   "tool_calls": 4,
   "usage": {
    "input_tokens": 4649,
    "output_tokens": 1345,
    "cache_read_input_tokens": 7936,
    "cache_creation_input_tokens": 0
   },
   "reasoning_tokens": 642,
   "requests": [
    {
     "input_tokens": 1190,
     "output_tokens": 84,
     "cached_tokens": 0,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 1279,
     "output_tokens": 56,
     "cached_tokens": 1024,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 2499,
     "output_tokens": 74,
     "cached_tokens": 1280,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 3408,
     "output_tokens": 1082,
     "cached_tokens": 2304,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 4209,
     "output_tokens": 49,
     "cached_tokens": 3328,
     "cache_write_tokens": 0
    }
   ],
   "cost_usd_venice_list": 0.036503,
   "billed_reported_by_venice": 0.036503,
   "wall_seconds": 27.5,
   "final_message": "Created `ratios.json` with all 16 values, incorporating the restated FY2024 inventory and equity, finance lease debt, and free cash flow adjustments.",
   "error": null,
   "fatal": false
  },
  "trace": [
   {
    "turn": 1,
    "response": {
     "id": "gen-1792887122-IJRC4YGb3QhagbtjYp1J",
     "object": "chat.completion",
     "created": 1792887122,
     "model": "kimi-k3-1-pro",
     "service_tier": null,
     "choices": [
      {
       "index": 0,
       "logprobs": null,
       "finish_reason": "tool_calls",
       "native_finish_reason": "tool_calls",
       "message": {
        "role": "assistant",
        "content": "",
        "refusal": null,
        "tool_calls": [
         {
          "type": "function",
          "index": 0,
          "id": "list_files_0_2ab2ce11",
          "function": {
           "name": "list_files",
           "arguments": "{\"path\":\".\"}"
          }
         }
        ],
        "reasoning_details": [
         {
          "type": "reasoning.text",
          "text": "I need inspect files read annual report compute ratios write JSON exactly keys. Should call the tool. Should be meticulous units notes restatements. Start list/read.",
          "format": "unknown",
          "index": 0
         }
        ],
        "reasoning_content": "I need inspect files read annual report compute ratios write JSON exactly keys. Should call the tool. Should be meticulous units notes restatements. Start list/read."
       }
      }
     ],
     "usage": {
      "prompt_tokens": 1190,
      "completion_tokens": 84,
      "total_tokens": 1274,
      "prompt_tokens_details": {
       "cached_tokens": 0
      },
      "completion_tokens_details": {
       "reasoning_tokens": 33,
       "image_tokens": 0,
       "audio_tokens": 0
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.00483
     },
     "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": "./TASK.md\n./annual_report_excerpt.md"
   },
   {
    "turn": 2,
    "response": {
     "id": "gen-1792887125-u2qnFAB5GjyzogrbNoiX",
     "object": "chat.completion",
     "created": 1792887125,
     "model": "kimi-k3-1-pro",
     "service_tier": null,
     "choices": [
      {
       "index": 0,
       "logprobs": null,
       "finish_reason": "tool_calls",
       "native_finish_reason": "tool_calls",
       "message": {
        "role": "assistant",
        "content": "",
        "refusal": null,
        "tool_calls": [
         {
          "type": "function",
          "index": 0,
          "id": "read_file_1_75ba33f7",
          "function": {
           "name": "read_file",
           "arguments": "{\"path\":\"annual_report_excerpt.md\"}"
          }
         }
        ]
       }
      }
     ],
     "usage": {
      "prompt_tokens": 1279,
      "completion_tokens": 56,
      "total_tokens": 1335,
      "prompt_tokens_details": {
       "cached_tokens": 1024
      },
      "cache_read_input_tokens": 1024,
      "completion_tokens_details": {
       "reasoning_tokens": 1,
       "image_tokens": 0,
       "audio_tokens": 0
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.0019122000000000002
     },
     "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": "annual_report_excerpt.md"
    },
    "result": "# Larkspur Outdoor Goods, Inc. - Annual Report excerpt (fiscal year ended December 31, 2025)\n\n*Fictional company. All figures are synthetic and were made up for this exercise.*\n\n## Item 7. Management's Discussion and Analysis (excerpt)\n\nNet sales grew on the strength of the trail-footwear line and the reopening of two distribution centers. Management also tracks a non-GAAP \"adjusted operating income\" of $112,400 thousand, which adds back restructuring and brand amortization; this measure is not used anywhere in the GAAP statements below.\n\nSegment net sales (in thousands): Footwear 391,220; Apparel 286,905; Equipment 164,490. Segment figures are shown for context only.\n\n## Item 8. Financial Statements\n\n### Consolidated Statements of Operations\n(in thousands, except per-share amounts)\n\n| | FY2025 | FY2024 |\n|---|---:|---:|\n| Net sales | 842,615 | 771,302 |\n| Cost of sales | 503,977 | 468,215 |\n| Gross profit | 338,638 | 303,087 |\n| Selling, general and administrative | 221,450 | 204,118 |\n| Research and development | 18,906 | 17,240 |\n| Operating income | 98,282 | 81,729 |\n| Interest expense | (9,874) | (10,512) |\n| Other income, net | 1,240 | 655 |\n| Income before income taxes | 89,648 | 71,872 |\n| Provision for income taxes | 19,723 | 15,812 |\n| Net income | 69,925 | 56,060 |\n| Weighted-average shares, basic (thousands) | 41,200 | 41,650 |\n| Weighted-average shares, diluted (thousands) | 42,050 | 42,300 |\n\n### Consolidated Balance Sheets\n(in thousands; FY2024 column as originally reported, see Note 4)\n\n| | Dec 31, 2025 | Dec 31, 2024 |\n|---|---:|---:|\n| Cash and cash equivalents | 61,340 | 48,905 |\n| Short-term investments | 15,000 | 22,500 |\n| Accounts receivable, net | 88,412 | 79,630 |\n| Inventories | 142,780 | 131,455 |\n| Prepaid expenses and other | 9,118 | 8,240 |\n| **Total current assets** | 316,650 | 290,730 |\n| Property and equipment, net | 204,500 | 196,300 |\n| Operating lease right-of-use assets | 38,200 | 41,000 |\n| Goodwill | 55,000 | 55,000 |\n| **Total assets** | 614,350 | 583,030 |\n| Accounts payable | 70,215 | 66,980 |\n| Accrued liabilities | 41,320 | 38,770 |\n| Current portion of long-term debt | 12,500 | 12,500 |\n| Current operating lease liabilities | 7,900 | 7,600 |\n| **Total current liabilities** | 131,935 | 125,850 |\n| Long-term debt, net of current portion | 148,000 | 160,500 |\n| Noncurrent operating lease liabilities | 32,400 | 35,600 |\n| Other long-term liabilities | 14,615 | 12,880 |\n| **Total stockholders' equity** | 287,400 | 248,200 |\n| **Total liabilities and equity** | 614,350 | 583,030 |\n\n### Consolidated Statement of Cash Flows (summary)\n(in thousands)\n\n| | FY2025 |\n|---|---:|\n| Net cash provided by operating activities | 112,640 |\n| Purchases of property and equipment | (38,975) |\n| Capitalized internal-use software | (4,100) |\n| Purchases of short-term investments, net of maturities | 7,500 |\n| Repayment of long-term debt | (12,500) |\n| Share repurchases | (29,580) |\n| Dividends paid | (14,920) |\n\n## Notes to th"
   },
   {
    "turn": 3,
    "response": {
     "id": "gen-1792887127-QSAD2av9q9aORONJVrfG",
     "object": "chat.completion",
     "created": 1792887127,
     "model": "kimi-k3-1-pro",
     "service_tier": null,
     "choices": [
      {
       "index": 0,
       "logprobs": null,
       "finish_reason": "tool_calls",
       "native_finish_reason": "tool_calls",
       "message": {
        "role": "assistant",
        "content": "",
        "refusal": null,
        "tool_calls": [
         {
          "type": "function",
          "index": 0,
          "id": "read_file_2_cb33b11d",
          "function": {
           "name": "read_file",
           "arguments": "{\"path\":\"TASK.md\"}"
          }
         }
        ],
        "reasoning_details": [
         {
          "type": "reasoning.text",
          "text": "I need compute carefully, create ratios json exact keys. Should interpret all. I'll read TASK perhaps same.",
          "format": "unknown",
          "index": 0
         }
        ],
        "reasoning_content": "I need compute carefully, create ratios json exact keys. Should interpret all. I'll read TASK perhaps same."
       }
      }
     ],
     "usage": {
      "prompt_tokens": 2499,
      "completion_tokens": 74,
      "total_tokens": 2573,
      "prompt_tokens_details": {
       "cached_tokens": 1280
      },
      "cache_read_input_tokens": 1280,
      "completion_tokens_details": {
       "reasoning_tokens": 22,
       "image_tokens": 0,
       "audio_tokens": 0
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.005151
     },
     "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": "TASK.md"
    },
    "result": "# Read an annual-report excerpt and compute financial ratios\n\n`annual_report_excerpt.md` is an excerpt from a **fictional** company's annual report (statements plus notes). Read it and write `ratios.json` with the 16 values below. You may compute by hand or with a script (Python 3 standard library only). Use only this document. Watch the units and the notes.\n\n## Rules\n1. Dollar amounts in the statements are in thousands unless a line says otherwise. Notes can state amounts in millions; convert them to thousands.\n2. Where a note restates a prior-year amount, use the restated amount everywhere that amount (or a total that includes it) is used. \"Average X\" = (FY2025 year-end X + FY2024 year-end X) / 2.\n3. Total debt = current portion of long-term debt + long-term debt (net of current portion) + finance lease obligations (Note 7). Operating lease liabilities are not debt.\n4. Free cash flow = net cash provided by operating activities - purchases of property and equipment - capitalized internal-use software.\n5. Definitions (FY2025 unless stated):\n   - `current_ratio` = total current assets / total current liabilities\n   - `quick_ratio` = (cash and equivalents + short-term investments + accounts receivable) / total current liabilities\n   - `gross_margin`, `operating_margin`, `net_margin` = gross profit, operating income, net income / net sales\n   - `effective_tax_rate` = provision for income taxes / income before income taxes\n   - `roe` = net income / average stockholders' equity\n   - `total_debt_thousands` (rule 3, at Dec 31, 2025), `debt_to_equity` = total debt / Dec 31, 2025 equity\n   - `interest_coverage` = operating income / interest expense\n   - `fcf_thousands` (rule 4), `fcf_margin` = free cash flow / net sales\n   - `inventory_turnover` = cost of sales / average inventory\n   - `dso_days` = average accounts receivable / net sales * 365\n   - `revenue_growth` = FY2025 net sales / FY2024 net sales - 1\n   - `eps_diluted` = net income / diluted weighted-average shares (dollars per share)\n6. Ratios and margins are plain fractions (0.25, not 25%).\n\n## Output\n`ratios.json`: one JSON object with exactly these keys: `current_ratio`, `quick_ratio`, `gross_margin`, `operating_margin`, `net_margin`, `effective_tax_rate`, `roe`, `total_debt_thousands`, `debt_to_equity`, `interest_coverage`, `fcf_thousands`, `fcf_margin`, `inventory_turnover`, `dso_days`, `revenue_growth`, `eps_diluted`. (That is 16 keys: the 15 ratios plus total debt.)\n\n## Scoring\nHidden checks (partial credit = fraction passed; all must pass). Tolerances: fractions and ratios within 0.0005; `total_debt_thousands` and `fcf_thousands` within 0.5; `dso_days` within 0.05; `eps_diluted` within 0.005.\n- `liquidity`: current_ratio, quick_ratio\n- `margins_and_tax`: gross_margin, operating_margin, net_margin, effective_tax_rate\n- `return_on_equity`: roe (needs the restated equity)\n- `debt_and_coverage`: total_debt_thousands, debt_to_equity, interest_coverage (needs the note in millions)\n- `free_cash_fl"
   },
   {
    "turn": 4,
    "response": {
     "id": "gen-1792887131-XNTljb3tbV3lmCFM1SE4",
     "object": "chat.completion",
     "created": 1792887131,
     "model": "kimi-k3-1-pro",
     "service_tier": null,
     "choices": [
      {
       "index": 0,
       "logprobs": null,
       "finish_reason": "tool_calls",
       "native_finish_reason": "tool_calls",
       "message": {
        "role": "assistant",
        "content": "",
        "refusal": null,
        "tool_calls": [
         {
          "type": "function",
          "index": 0,
          "id": "run_shell_3_ecf3dce7",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\":\"python3 - <<'PY'\\nimport json\\n\\nnet_sales = 842_615\\nnet_income = 69_925\\naverage_equity = (287_400 + (248_200 - 3_550)) / 2\\naverage_inventory = (142_780 + 127_905) / 2\\naverage_receivables = (88_412 + 79_630) / 2\\ntotal_debt = 12_500 + 148_000 + 6_400\\nfcf = 112_640 - 38_975 - 4_100\\n\\nratios = {\\n    \\\"current_ratio\\\": 316_650 / 131_935,\\n    \\\"quick_ratio\\\": (61_340 + 15_000 + 88_412) / 131_935,\\n    \\\"gross_margin\\\": 338_638 / net_sales,\\n    \\\"operating_margin\\\": 98_282 / net_sales,\\n    \\\"net_margin\\\": net_income / net_sales,\\n    \\\"effective_tax_rate\\\": 19_723 / 89_648,\\n    \\\"roe\\\": net_income / average_equity,\\n    \\\"total_debt_thousands\\\": total_debt,\\n    \\\"debt_to_equity\\\": total_debt / 287_400,\\n    \\\"interest_coverage\\\": 98_282 / 9_874,\\n    \\\"fcf_thousands\\\": fcf,\\n    \\\"fcf_margin\\\": fcf / net_sales,\\n    \\\"inventory_turnover\\\": 503_977 / average_inventory,\\n    \\\"dso_days\\\": average_receivables / net_sales * 365,\\n    \\\"revenue_growth\\\": net_sales / 771_302 - 1,\\n    \\\"eps_diluted\\\": net_income / 42_050,\\n}\\n\\nwith open(\\\"ratios.json\\\", \\\"w\\\", encoding=\\\"utf-8\\\") as f:\\n    json.dump(ratios, f, indent=2)\\n    f.write(\\\"\\\\n\\\")\\n\\nprint(json.dumps(ratios, indent=2))\\nprint(\\\"Average equity:\\\", average_equity)\\nprint(\\\"Average inventory:\\\", average_inventory)\\nprint(\\\"Average receivables:\\\", average_receivables)\\nPY\"}"
          }
         }
        ],
        "reasoning_details": [
         {
          "type": "reasoning.text",
          "text": "I'll create ratios.json exactly keys values. Should compute carefully. I have ample tokens but straightforward. Make sure subtleties. I'll parse.\n\nNet sales 842615, cost 503977, gross 338638, op 98282, net 69925, tax 19723 pretax 89648. Current assets 316650, liabilities 131935. Quick cash 61340 + ST investments 15000 + AR 88412 = 164752. ROE avg stockholder equity: 2025 287400; 2024 restated 248200 -3550=244650. Avg = (287400+244650)/2=266025. ROE=69925/266025.\n\nDebt: current portion 12500 + long term 148000 + finance lease obligations 6.4 million = 6400 thousand = total 166900. Finance current 1.1m included total not additional. Debt to equity 166900/287400. Interest coverage op 98282 / interest expense magnitude 9874 = 9.9534? Use positive interest expense because line (9,874) but denominator should positive. FCF CFO 112640 - purchases property equipment (cash outflow magnitude 38975) - cap software 4100 = 69565. fcf margin /842615. Inventory average = (142780+127905)/2 = 135342.5; turnover 503977/135342.5. DSO avg AR = (88412+79630)/2=84021; /842615*365. Revenue growth 842615/771302 -1. EPS diluted = net income 69925 thousand dollars / diluted shares 42050 thousand shares = dollars per share 1.6629. I'll write perhaps decimals sufficient precision. Could use Python calculate and write JSON. Standard library only. Perhaps no script needed, run shell python. I should ensure exact current assets? Restated prior current assets not used current ratio FY2025. total current assets 2025 unaffected. Restated equity only ROE. Inventory use restated. Debt note millions converted. All good.\n\nI'll calculate via python with decimal perhaps json floats. I'll create file. Could use run_shell command python script inline to compute. Better perhaps use Python standard json print values then write file tool. Should check arithmetic. I can run shell python calculations and validation perhaps write directly. I can create ratios.json via Python with values. The task only output file no need script. I should avoid extra files perhaps use inline. I'll compute using python - <<'PY'. Make sure no issue working dir. Use json dump with indent 2, values as floats. total_debt_thousands and fcf_thousands could be integers. Exactly keys. Use no rounding or perhaps values full double precision enough. I'll run.",
          "format": "unknown",
          "index": 0
         }
        ],
        "reasoning_content": "I'll create ratios.json exactly keys values. Should compute carefully. I have ample tokens but straightforward. Make sure subtleties. I'll parse.\n\nNet sales 842615, cost 503977, gross 338638, op 98282, net 69925, tax 19723 pretax 89648. Current assets 316650, liabilities 131935. Quick cash 61340 + ST investments 15000 + AR 88412 = 164752. ROE avg stockholder equity: 2025 287400; 2024 restated 248200 -3550=244650. Avg = (287400+244650)/2=266025. ROE=69925/266025.\n\nDebt: current portion 12500 + long term 148000 + finance lease obligations 6.4 million = 6400 thousand = total 166900. Finance current 1.1m included total not additional. Debt to equity 166900/287400. Interest coverage op 98282 / interest expense magnitude 9874 = 9.9534? Use positive interest expense because line (9,874) but denominator should positive. FCF CFO 112640 - purchases property equipment (cash outflow magnitude 38975) - cap software 4100 = 69565. fcf margin /842615. Inventory average = (142780+127905)/2 = 135342.5; turnover 503977/135342.5. DSO avg AR = (88412+79630)/2=84021; /842615*365. Revenue growth 842615/771302 -1. EPS diluted = net income 69925 thousand dollars / diluted shares 42050 thousand shares = dollars per share 1.6629. I'll write perhaps decimals sufficient precision. Could use Python calculate and write JSON. Standard library only. Perhaps no script needed, run shell python. I should ensure exact current assets? Restated prior current assets not used current ratio FY2025. total current assets 2025 unaffected. Restated equity only ROE. Inventory use restated. Debt note millions converted. All good.\n\nI'll calculate via python with decimal perhaps json floats. I'll create file. Could use run_shell command python script inline to compute. Better perhaps use Python standard json print values then write file tool. Should check arithmetic. I can run shell python calculations and validation perhaps write directly. I can create ratios.json via Python with values. The task only output file no need script. I should avoid extra files perhaps use inline. I'll compute using python - <<'PY'. Make sure no issue working dir. Use json dump with indent 2, values as floats. total_debt_thousands and fcf_thousands could be integers. Exactly keys. Use no rounding or perhaps values full double precision enough. I'll run."
       }
      }
     ],
     "usage": {
      "prompt_tokens": 3408,
      "completion_tokens": 1082,
      "total_tokens": 4490,
      "prompt_tokens_details": {
       "cached_tokens": 2304
      },
      "cache_read_input_tokens": 2304,
      "completion_tokens_details": {
       "reasoning_tokens": 585,
       "image_tokens": 0,
       "audio_tokens": 0
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.0202332
     },
     "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": "python3 - <<'PY'\nimport json\n\nnet_sales = 842_615\nnet_income = 69_925\naverage_equity = (287_400 + (248_200 - 3_550)) / 2\naverage_inventory = (142_780 + 127_905) / 2\naverage_receivables = (88_412 + 79_630) / 2\ntotal_debt = 12_500 + 148_000 + 6_400\nfcf = 112_640 - 38_975 - 4_100\n\nratios = {\n    \"current_ratio\": 316_650 / 131_935,\n    \"quick_ratio\": (61_340 + 15_000 + 88_412) / 131_935,\n    \"gross_margin\": 338_638 / net_sales,\n    \"operating_margin\": 98_282 / net_sales,\n    \"net_margin\": net_income / net_sales,\n    \"effective_tax_rate\": 19_723 / 89_648,\n    \"roe\": net_income / average_equity,\n    \"total_debt_thousands\": total_debt,\n    \"debt_to_equity\": total_debt / 287_400,\n    \"interest_coverage\": 98_282 / 9_874,\n    \"fcf_thousands\": fcf,\n    \"fcf_margin\": fcf / net_sales,\n    \"inventory_turnover\": 503_977 / average_inventory,\n    \"dso_days\": average_receivables / net_sales * 365,\n    \"revenue_growth\": net_sales / 771_302 - 1,\n    \"eps_diluted\": net_income / 42_050,\n}\n\nwith open(\"ratios.json\", \"w\", encoding=\"utf-8\") as f:\n    json.dump(ratios, f, indent=2)\n    f.write(\"\\n\")\n\nprint(json.dumps(ratios, indent=2))\nprint(\"Average equity:\", average_equity)\nprint(\"Average inventory:\", average_inventory)\nprint(\"Average receivables:\", average_receivables)\nPY"
    },
    "result": "exit=0\nstdout:\n{\n  \"current_ratio\": 2.400045476939402,\n  \"quick_ratio\": 1.24873612005912,\n  \"gross_margin\": 0.401889356348985,\n  \"operating_margin\": 0.11663927179079414,\n  \"net_margin\": 0.08298570521531186,\n  \"effective_tax_rate\": 0.2200049080849545,\n  \"roe\": 0.2628512357861103,\n  \"total_debt_thousands\": 166900,\n  \"debt_to_equity\": 0.580723729993041,\n  \"interest_coverage\": 9.953615556005671,\n  \"fcf_thousands\": 69565,\n  \"fcf_margin\": 0.08255846382986298,\n  \"inventory_turnover\": 3.7237157581690896,\n  \"dso_days\": 36.395821341893985,\n  \"revenue_growth\": 0.09245794772994231,\n  \"eps_diluted\": 1.6629013079667063\n}\nAverage equity: 266025.0\nAverage inventory: 135342.5\nAverage receivables: 84021.0\n\nstderr:\n"
   },
   {
    "turn": 5,
    "response": {
     "id": "gen-1792887148-cGLPocl1iq8RGZ1Ofxa7",
     "object": "chat.completion",
     "created": 1792887148,
     "model": "kimi-k3-1-pro",
     "service_tier": null,
     "choices": [
      {
       "index": 0,
       "logprobs": null,
       "finish_reason": "stop",
       "native_finish_reason": "stop",
       "message": {
        "role": "assistant",
        "content": "Created `ratios.json` with all 16 values, incorporating the restated FY2024 inventory and equity, finance lease debt, and free cash flow adjustments.",
        "refusal": null
       }
      }
     ],
     "usage": {
      "prompt_tokens": 4209,
      "completion_tokens": 49,
      "total_tokens": 4258,
      "prompt_tokens_details": {
       "cached_tokens": 3328
      },
      "cache_read_input_tokens": 3328,
      "completion_tokens_details": {
       "reasoning_tokens": 1,
       "image_tokens": 0,
       "audio_tokens": 0
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.0043764
     },
     "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
     }
    }
   }
  ]
 }
]