Skip to content

DeepSeek V4.1 Flash (Venice) (thinking on) on Reach a goal stack configuration using a simulator CLI with minimal moves

DDeepSeek V4.1 Flash (Venice)thinking on · venice-mini-agent v1.3 · cloud · 2026-10-19 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first trySuperseded
Estimated cost
$0.0076
Wall time
54s
Human step-ins
0
Outcome
Pass

Compare with other models on this task →

Superseded. This run was rescored on 2026-10-28 and replaced by a newer run. It no longer counts toward rankings, use-case tables or the data export; it is kept here for the record.

Summary

Exact prompt

# Task: plan with a tool `wh.py` is a warehouse stacking simulator (read its docstring: `python wh.py status`). Reach the goal configuration in `goal.json` using ONLY `python wh.py move SRC DST` calls. Every call (including `status` and rejected moves) is logged in `calls.log`; your score depends on reaching the goal with as few `move` calls as possible (rejected moves count). Do NOT edit `wh.py`, `state.json`, `goal.json`, or `calls.log` by hand — the grader replays `calls.log` from the initial state. Plan before moving. No network.

Grader replays calls.log; optimal is 13 moves (BFS), pass ≤15 with zero rejected moves. Rewards planning before acting over trial-and-error. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Cost shown is a list-price estimate (measured tokens x pricing.json list price).

Success criteria: 1. wh.py and goal.json must be unmodified. 2. Replaying calls.log from the original initial state must reach the goal configuration. 3. Zero rejected (illegal) moves in the log. 4. Number of move calls <= optimal (computed by BFS in the scorer) + 2.

Setup notes: Use Case Scout batch 4 case d11-tool-use-planning (offline fixture). Prepared with batch4/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR`. Tools: list_files/read_file/write_file/run_shell (venice-mini-agent v1.3), web disabled. Single run, no retries. Harness: venice-mini-agent v1.3 (/workspace/usecase-runner/venice_agent2.py) via the Venice OpenAI-compatible API: same tool loop, system prompt and limits as the cases 02-25 Venice runs (max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, per-run cost cap $0.08, thinking on (model default)). Same task text, work-dir layout and scorer as the Claude runs of this case. Cost = measured per-call tokens x venice_prices.json list price; paid from the Venice DIEM daily allowance. Harness: venice-mini-agent v1.3 via Venice OpenAI-compatible API (16000 max tokens/call, $0.08 run cap). Score: 4/4 checks. Cost is an ESTIMATE: measured per-call tokens x pricing.json list price (paid from Venice DIEM allowance; Venice billing not itemized). input_tokens include cached reads. Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.0076
Wall time
54s
Human step-ins
0
Turns
10
Model usage
ModelInput tokOutput tokCost
DDeepSeek V4.1 Flash (Venice)venice/deepseek-v4-1-flashthinking on22,6055,049$0.0076

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: DeepSeek V4.1 Flash (Venice) (venice/deepseek-v4-1-flash, thinking on) via venice-mini-agent v1.3, cloud.
  3. It counts as a success only if it meets every success criterion: 1. wh.py and goal.json must be unmodified. 2. Replaying calls.log from the original initial state must reach the goal configuration. 3. Zero rejected (illegal) moves in the log. 4. Number of move calls <= optimal (computed by BFS in the scorer) + 2.
  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.

Was this useful?

⇄ Rerun on another model

Automated checks

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

Evidence log
[
 {
  "segment_dir": "./usecase-runner/runs/d11-deepseek-v4-1-flash/venice_output_venice",
  "venice_output": {
   "harness": "venice-mini-agent",
   "harness_version": "1.3",
   "max_tokens_per_call": 16000,
   "disable_thinking": false,
   "run_cost_cap": 0.08,
   "no_tools": false,
   "resumed_from": null,
   "model": "deepseek-v4-1-flash",
   "start": "2026-10-19T12:32:37-0400",
   "num_turns": 10,
   "tool_calls": 13,
   "usage": {
    "input_tokens": 4705,
    "output_tokens": 5049,
    "cache_read_input_tokens": 17900,
    "cache_creation_input_tokens": 0
   },
   "reasoning_tokens": 3384,
   "requests": [
    {
     "input_tokens": 644,
     "output_tokens": 82,
     "cached_tokens": 0,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 771,
     "output_tokens": 77,
     "cached_tokens": 514,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 1453,
     "output_tokens": 1069,
     "cached_tokens": 642,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 1777,
     "output_tokens": 2228,
     "cached_tokens": 1324,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 2292,
     "output_tokens": 43,
     "cached_tokens": 1648,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 2531,
     "output_tokens": 506,
     "cached_tokens": 2162,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 3042,
     "output_tokens": 43,
     "cached_tokens": 2402,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 3150,
     "output_tokens": 654,
     "cached_tokens": 2912,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 3405,
     "output_tokens": 114,
     "cached_tokens": 3020,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 3540,
     "output_tokens": 233,
     "cached_tokens": 3276,
     "cache_write_tokens": 0
    }
   ],
   "cost_usd_venice_list": 0.007605,
   "billed_reported_by_venice": 0.007605,
   "wall_seconds": 53.4,
   "final_message": "Done. I reached the goal configuration.\n\n**Approach:** I read `wh.py`'s rules (top crate moves only; a crate can only go on an empty stack or a crate of equal/greater weight; dock `D` holds max 2), then wrote a BFS solver over the state space to find the minimum-length move sequence, and executed it.\n\n**Result:** 13 `move` calls, all accepted (0 rejected), reaching:\n- `A: []`\n- `B: a b f d e`\n- `C: c`\n- `D: []`\n\nwhich matches `goal.json` exactly. The BFS guarantees this is the optimal (fewest-move) solution.",
   "error": null,
   "fatal": false
  },
  "trace": [
   {
    "turn": 1,
    "response": {
     "id": "chatcmpl-a2e89de954da4b8e9e20148d9f980a0d",
     "object": "chat.completion",
     "created": 1792427558,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": "Let me start by exploring the directory and understanding the simulator.",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-b6fb41b9f1507e5c",
          "type": "function",
          "function": {
           "name": "list_files",
           "arguments": "{\"path\": \".\"}"
          },
          "name": null
         },
         {
          "index": 1,
          "id": "chatcmpl-tool-935586145811b8b4",
          "type": "function",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"python wh.py status\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 644,
      "completion_tokens": 82,
      "total_tokens": 726,
      "prompt_tokens_details": {
       "cached_tokens": 0
      },
      "completion_tokens_details": {
       "reasoning_tokens": 12
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.00029160000000000004
     },
     "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./goal.json\n./state.json\n./wh.py"
   },
   {
    "turn": 1,
    "tool": "run_shell",
    "args": {
     "command": "python wh.py status"
    },
    "result": "exit=127\nstdout:\n\nstderr:\nbash: line 1: python: command not found\n"
   },
   {
    "turn": 2,
    "response": {
     "id": "chatcmpl-57680f18705d47e1aac585e231857b14",
     "object": "chat.completion",
     "created": 1792427560,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": "Use python3.",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-9f86168050ef29e6",
          "type": "function",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"python3 wh.py status\"}"
          },
          "name": null
         },
         {
          "index": 1,
          "id": "chatcmpl-tool-b36b7fb7b67d7c68",
          "type": "function",
          "function": {
           "name": "read_file",
           "arguments": "{\"path\": \"wh.py\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 771,
      "completion_tokens": 77,
      "total_tokens": 848,
      "prompt_tokens_details": {
       "cached_tokens": 514
      },
      "cache_read_input_tokens": 514,
      "completion_tokens_details": {
       "reasoning_tokens": 4
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.000173355
     },
     "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": "python3 wh.py status"
    },
    "result": "exit=0\nstdout:\nA: a(w5) c(w3) e(w1)\nB: b(w4) d(w2)\nC: f(w3)\nD: \ngoal: {\"A\": [], \"B\": [\"a\", \"b\", \"f\", \"d\", \"e\"], \"C\": [\"c\"], \"D\": []}\n\nstderr:\n"
   },
   {
    "turn": 2,
    "tool": "read_file",
    "args": {
     "path": "wh.py"
    },
    "result": "#!/usr/bin/env python3\n\"\"\"Warehouse stacking simulator. Usage:\n  python wh.py status            show stacks (bottom -> top) and the goal\n  python wh.py move SRC DST      move the TOP crate of stack SRC onto stack DST\nRules: a crate may only be placed on an empty stack or on a crate whose weight is >= its own.\nStack 'D' is a dock with capacity 2 crates. Every call is appended to calls.log; invalid moves are rejected (still logged, count as moves).\n\"\"\"\nimport json,sys,os\nH=os.path.dirname(os.path.abspath(__file__)); S=os.path.join(H,\"state.json\")\nW={\"a\":5,\"b\":4,\"c\":3,\"d\":2,\"e\":1,\"f\":3}\ndef legal(st,src,dst):\n    if src not in st or dst not in st or src==dst or not st[src]: return \"bad stacks\"\n    c=st[src][-1]\n    if dst==\"D\" and len(st[\"D\"])>=2: return \"dock full\"\n    if st[dst] and W[st[dst][-1]]<W[c]: return f\"{c} (w{W[c]}) cannot go on {st[dst][-1]} (w{W[st[dst][-1]]})\"\n    return None\ndef main(a):\n    st=json.load(open(S)); goal=json.load(open(os.path.join(H,\"goal.json\")))\n    with open(os.path.join(H,\"calls.log\"),\"a\") as f: f.write(\" \".join(a)+\"\\n\")\n    if a[:1]==[\"status\"]:\n        for k in sorted(st): print(f\"{k}: {' '.join(f'{c}(w{W[c]})' for c in st[k])}\")\n        print(\"goal:\",json.dumps(goal)); return 0\n    if len(a)==3 and a[0]==\"move\":\n        e=legal(st,a[1],a[2])\n        if e: print(\"REJECTED:\",e); return 1\n        st[a[2]].append(st[a[1]].pop()); json.dump(st,open(S,\"w\")); print(\"ok\"); return 0\n    print(__doc__); return 2\nif __name__==\"__main__\": sys.exit(main(sys.argv[1:]))\n"
   },
   {
    "turn": 3,
    "response": {
     "id": "chatcmpl-61341fb2d7454cc7aecd9ee57c48dd32",
     "object": "chat.completion",
     "created": 1792427561,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": "Let me read state.json and goal.json.\n\nInitial:\nA: a(w5) c(w3) e(w1)  -> bottom a, then c, then e (top)\nB: b(w4) d(w2)\nC: f(w3)\nD: empty\n\nGoal:\nA: []\nB: [\"a\",\"b\",\"f\",\"d\",\"e\"]  bottom->top: a, b, f, d, e\nC: [\"c\"]\nD: []\n\nWeights: a=5,b=4,c=3,d=2,e=1,f=3.\n\nGoal B stack bottom->top: a(5), b(4), f(3), d(2), e(1). Check legality: a on empty ok; b(4) on a(5) ok; f(3) on b(4) ok; d(2) on f(3) ok; e(1) on d(2) ok. Good.\n\nGoal C: c alone.\n\nSo we need to move everything to B in order a,b,f,d,e, and c to C.\n\nLet's think about the moves. We have 4 stacks A,B,C,D. D capacity 2.\n\nInitial:\nA: [a,c,e]\nB: [b,d]\nC: [f]\nD: []\n\nWe need final:\nA: []\nB: [a,b,f,d,e]\nC: [c]\nD: []\n\nLet's plan. We need to build B from bottom: a first. But a is at bottom of A, with c and e on top. So we need to move e and c off A.\n\nc needs to end on C. f is on C currently, needs to go to B. So we need to move f off C first (to somewhere), then put c on C.\n\nLet's think carefully.\n\nTarget B order: a, b, f, d, e.\n\nCurrently B has [b,d]. We need a below b. So we must remove b and d from B, put a, then b, then f, then d, then e.\n\nPlan:\n1. Move e from A to D (D empty, e w1). A: [a,c], D: [e].\n2. Move c from A to ... c needs to go to C eventually, but f is on C. Move f somewhere. f w3. Could move f to D? D has e(1), f(3) on e(1) not allowed (3>1). Move f to B? B top is d(2), f(3) on d(2) not allowed. Move f to A? A top c(3), f(3) on c(3) allowed (>=). Hmm.\n\nAlternative: move f to D first (D empty). Then move c to C. Then move e... \n\nLet's try:\n1. f: C->D. D:[f]. C empty.\n2. c: A->C. A:[a], C:[c].\n3. e: A->? e needs to go to B top eventually. But B currently [b,d]. We need to clear B. Move e to D? D top f(3), e(1) on f(3) allowed. D:[f,e]. \n4. Now A:[a]. Move a to B? B top d(2), a(5) on d(2) not allowed. Need to clear B.\n\nWe need to remove b and d from B. d is on top. Where to put d? d w2. Options: on C top c(3) allowed. Or on D top e(1) not allowed. Or on A top a(5) allowed.\n\nHmm, but we need d to end up on B above f. Let's think of a sequence.\n\nLet me think about the final arrangement and reverse.\n\nActually let's just search for a solution with BFS/planning. But we can only use move calls; we can compute offline with a script (not editing wh.py). We can write our own solver script and then execute the moves via wh.py. That's allowed\u2014we just can't edit the given files. Writing a separate solver is fine.\n\nLet me write a BFS solver.\n\nState: tuple of 4 stacks. Moves: src,dst among A,B,C,D, legal per rules. Goal state.\n\nLet me just do BFS in a script.\n\nActually let me reason but BFS is safer. Let me write solver.py.\n\nLet me consider the state space: 6 crates, 4 stacks, D capacity 2. Small.\n\nLet me write it.",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-beb786f602e0b738",
          "type": "function",
          "function": {
           "name": "read_file",
           "arguments": "{\"path\": \"state.json\"}"
          },
          "name": null
         },
         {
          "index": 1,
          "id": "chatcmpl-tool-9bd22d8f4e8c8552",
          "type": "function",
          "function": {
           "name": "read_file",
           "arguments": "{\"path\": \"goal.json\"}"
          },
          "name": null
         },
         {
          "index": 2,
          "id": "chatcmpl-tool-919839e343f4a98e",
          "type": "function",
          "function": {
           "name": "read_file",
           "arguments": "{\"path\": \"TASK.md\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 1453,
      "completion_tokens": 1069,
      "total_tokens": 2522,
      "prompt_tokens_details": {
       "cached_tokens": 642
      },
      "cache_read_input_tokens": 642,
      "completion_tokens_details": {
       "reasoning_tokens": 970
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.0015309149999999999
     },
     "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": "state.json"
    },
    "result": "{\"A\":[\"a\",\"c\",\"e\"],\"B\":[\"b\",\"d\"],\"C\":[\"f\"],\"D\":[]}\n"
   },
   {
    "turn": 3,
    "tool": "read_file",
    "args": {
     "path": "goal.json"
    },
    "result": "{\"A\":[],\"B\":[\"a\",\"b\",\"f\",\"d\",\"e\"],\"C\":[\"c\"],\"D\":[]}\n"
   },
   {
    "turn": 3,
    "tool": "read_file",
    "args": {
     "path": "TASK.md"
    },
    "result": "# Task: plan with a tool\n`wh.py` is a warehouse stacking simulator (read its docstring: `python wh.py status`). Reach the goal configuration in `goal.json` using ONLY `python wh.py move SRC DST` calls. Every call (including `status` and rejected moves) is logged in `calls.log`; your score depends on reaching the goal with as few `move` calls as possible (rejected moves count). Do NOT edit `wh.py`, `state.json`, `goal.json`, or `calls.log` by hand \u2014 the grader replays `calls.log` from the initial state. Plan before moving. No network.\n"
   },
   {
    "turn": 4,
    "response": {
     "id": "chatcmpl-a9da40ab4cbb45cea0c30b6c06169640",
     "object": "chat.completion",
     "created": 1792427571,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "I'll write a BFS solver to find the optimal move sequence, then execute it.",
        "reasoning_content": "Let me plan. Initial:\nA: a(5) c(3) e(1)  bottom->top\nB: b(4) d(2)\nC: f(3)\nD: empty\n\nGoal:\nA: []\nB: a b f d e  (bottom->top)\nC: c\nD: []\n\nWeights: a=5,b=4,c=3,d=2,e=1,f=3.\n\nGoal B stack bottom->top: a(5), b(4), f(3), d(2), e(1). Weights decreasing, so legal.\n\nWe need to build B = [a,b,f,d,e].\n\nCurrent B = [b,d]. We need a at bottom, then b, then f, then d, then e.\n\nSo we need to remove d from B (d is on top of b). Then place a on B (empty? no, b is there). Wait goal B bottom is a, then b. So a must be placed first on empty B, then b on a, then f on b, then d on f, then e on d.\n\nCurrently B has b,d. We need to clear B entirely, then build.\n\nPlan:\n- Move d from B to somewhere. d(2) can go on: empty stack, or crate with weight>=2. Options: D (dock, capacity 2), or on C? C has f(3) top, 3>=2 ok. Or on A? A top is e(1), 1<2 no.\n- Move b from B to somewhere. b(4) needs weight>=4: a(5) only, or empty.\n\nLet's think about final: A empty, C=[c], D empty.\n\nLet's plan moves.\n\nInitial:\nA: a c e\nB: b d\nC: f\nD: \n\nStep 1: move e from A to D. e(1) onto empty D. D: e.\nStep 2: move c from A to D? c(3) onto e(1): 1<3 no. So c can't go on e. Hmm.\n\nAlternative: move e to D, then c... c needs to go to C eventually (goal C=[c]). C currently has f. So we need to move f out of C first.\n\nLet's think: goal C=[c]. So c must end on C alone. f must move to B.\n\nGoal B = a,b,f,d,e.\n\nLet's design sequence.\n\nWe need to clear A (a,c,e) and B (b,d) and C (f), then rebuild.\n\nLet's consider using D as buffer (capacity 2).\n\nOrder of building B: a first (bottom), then b, f, d, e.\n\na is at bottom of A. To get a, need to remove c and e from A first.\n\nLet's do:\n1. move e A->D. D: e. A: a c.\n2. move c A->C? C top f(3), c(3) on f(3): 3>=3 ok. C: f c. Hmm but then c is on f, and we need c on C alone eventually. Alternatively move c to D? D top e(1), no.\n\nActually let's think about where things go.\n\nWe need to move f out of C to B eventually. f(3) can go on b(4) or a(5) or empty.\n\nLet me think of a clean plan.\n\nTarget B: a,b,f,d,e.\n\nLet's try:\n- Clear A: e and c off.\n- Move a to B (B must be empty first). So clear B: move d and b off B.\n\nLet's clear B first:\nB: b d. Move d off, move b off.\n\nd(2) can go on C (f,3) or D empty. \nb(4) can go on a(5) or empty.\n\nHmm, if we move d onto C: C: f d. Then move b onto A? A top e(1), no. b needs empty or a. a is under c,e in A. So b can't go anywhere except empty stack. D is empty. Move b to D. D: b.\n\nThen B empty. Move a from A to B? a is under c,e. Need to remove c,e first.\n\nLet's reorder:\n1. move e A->D. D: e. A: a c.\n2. move c A->C. C: f c. A: a.\n   (c on f legal, 3>=3)\n3. move a A->B. B: a. A empty.\n4. Now move b from B... wait B has a now, b is still in B? No, B originally b d. We haven't moved b,d. Oops.\n\nLet me redo. B initially b d. We need B empty to place a.\n\nSo:\n1. move d B->C. C: f d. B: b.\n2. move b B->D. D: b. B empty.\n3. move e A->? A: a c e. e(1) can go on D top b(4): 4>=1 ok. D: b e. Or on C top d(2): 2>=1 ok. Or empty (none). Let's put e on D: D: b e (capacity 2, full).\n   A: a c.\n4. move c A->C? C top d(2), c(3) on d(2): 2<3 no. Hmm. c can't go on d.\n   c(3) can go on f(3) but f is under d now. Or on b(4) but b under e in D. Or on a(5) but a under c. Or empty stack \u2014 none (B empty!). Actually B is empty. Move c to B? But then a needs to go to B... a can't go on c (3<5). Hmm.\n\nLet me reconsider ordering.\n\nMaybe better: don't fill D with b,e.\n\nLet's think more carefully. We want to build B = a,b,f,d,e. The bottom a must be placed on empty B. So B must be emptied of b,d before placing a.\n\nTo empty B: move d and b elsewhere.\n- d can go on C (f) or D.\n- b can go on D (empty) or on a (but a is buried).\n\nSo b must go to D (empty) unless we free a first. Freeing a requires moving c,e off A.\n\nLet's free A first:\nA: a c e.\n- move e off: e to D (empty) or C (f,3) or B (d,2). e(1) can go on d(2) in B! B: b d e. Or on f(3) in C: C: f e. Or D empty.\n- move c off: c(3) can go on f(3) in C, or on b(4) in B (if d removed), or on a? no.\n\nHmm. Let's think about the final arrangement and reverse.\n\nActually let's just do a search mentally, or better, write a BFS solver! We can write a Python script to compute optimal move sequence, then execute the moves. That's allowed \u2014 we just can't edit the given files. We can create our own solver script.\n\nLet's do BFS over states. State = tuple of 4 stacks. Moves: move top of src to dst if legal. Find shortest path from initial to goal. Then execute.\n\nLet me write solver.\n\nState representation: (A,B,C,D) each a tuple bottom->top.\n\nLegal move: src nonempty, src!=dst, dst != D or len(D)<2, and (dst empty or W[top dst] >= W[crate]).\n\nGoal: A=(), B=(a,b,f,d,e), C=(c,), D=().\n\nBFS. Let's write it.\n\nThen output the move list, and run them via wh.py.\n\nLet me write the solver script.",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-b80f700e648b3dd5",
          "type": "function",
          "function": {
           "name": "write_file",
           "arguments": "{\"path\": \"solve.py\", \"content\": \"import json, collections\\n\\nW={\\\"a\\\":5,\\\"b\\\":4,\\\"c\\\":3,\\\"d\\\":2,\\\"e\\\":1,\\\"f\\\":3}\\nstacks=[\\\"A\\\",\\\"B\\\",\\\"C\\\",\\\"D\\\"]\\n\\nstart=json.load(open(\\\"state.json\\\"))\\ngoal=json.load(open(\\\"goal.json\\\"))\\n\\ndef norm(st):\\n    return tuple(tuple(st[k]) for k in stacks)\\n\\nstart=norm(start)\\ngoal=norm(goal)\\n\\ndef legal(st,src,dst):\\n    if src==dst: return False\\n    if not st[src]: return False\\n    c=st[src][-1]\\n    if dst==\\\"D\\\" and len(st[\\\"D\\\"])>=2: return False\\n    if st[dst] and W[st[dst][-1]]<W[c]: return False\\n    return True\\n\\ndef moves(st):\\n    for src in stacks:\\n        for dst in stacks:\\n            if legal(st,src,dst):\\n                yield src,dst\\n\\n# BFS\\nprev={start:None}\\nq=collections.deque([start])\\nfound=None\\nwhile q:\\n    s=q.popleft()\\n    if s==goal:\\n        found=s; break\\n    for src,dst in moves(s):\\n        ns=list(s)\\n        ns[stacks.index(dst)]=ns[stacks.index(dst)]+(ns[stacks.index(src)][-1],)\\n        ns[stacks.index(src)]=ns[stacks.index(src)][:-1]\\n        ns=tuple(ns)\\n        if ns not in prev:\\n            prev[ns]=(s,src,dst)\\n            q.append(ns)\\n\\nif found is None:\\n    print(\\\"NO SOLUTION\\\")\\nelse:\\n    path=[]\\n    s=found\\n    while prev[s] is not None:\\n        ps,src,dst=prev[s]\\n        path.append((src,dst))\\n        s=ps\\n    path.reverse()\\n    print(\\\"LEN\\\",len(path))\\n    for m in path:\\n        print(m[0],m[1])\\n\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 1777,
      "completion_tokens": 2228,
      "total_tokens": 4005,
      "prompt_tokens_details": {
       "cached_tokens": 1324
      },
      "cache_read_input_tokens": 1324,
      "completion_tokens_details": {
       "reasoning_tokens": 1730
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.00281943
     },
     "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": "solve.py",
     "content": "import json, collections\n\nW={\"a\":5,\"b\":4,\"c\":3,\"d\":2,\"e\":1,\"f\":3}\nstacks=[\"A\",\"B\",\"C\",\"D\"]\n\nstart=json.load(open(\"state.json\"))\ngoal=json.load(open(\"goal.json\"))\n\ndef norm(st):\n    return tuple(tuple(st[k]) for k in stacks)\n\nstart=norm(start)\ngoal=norm(goal)\n\ndef legal(st,src,dst):\n    if src==dst: return False\n    if not st[src]: return False\n    c=st[src][-1]\n    if dst==\"D\" and len(st[\"D\"])>=2: return False\n    if st[dst] and W[st[dst][-1]]<W[c]: return False\n    return True\n\ndef moves(st):\n    for src in stacks:\n        for dst in stacks:\n            if legal(st,src,dst):\n                yield src,dst\n\n# BFS\nprev={start:None}\nq=collections.deque([start])\nfound=None\nwhile q:\n    s=q.popleft()\n    if s==goal:\n        found=s; break\n    for src,dst in moves(s):\n        ns=list(s)\n        ns[stacks.index(dst)]=ns[stacks.index(dst)]+(ns[stacks.index(src)][-1],)\n        ns[stacks.index(src)]=ns[stacks.index(src)][:-1]\n        ns=tuple(ns)\n        if ns not in prev:\n            prev[ns]=(s,src,dst)\n            q.append(ns)\n\nif found is None:\n    print(\"NO SOLUTION\")\nelse:\n    path=[]\n    s=found\n    while prev[s] is not None:\n        ps,src,dst=prev[s]\n        path.append((src,dst))\n        s=ps\n    path.reverse()\n    print(\"LEN\",len(path))\n    for m in path:\n        print(m[0],m[1])\n"
    },
    "result": "wrote 1302 chars"
   },
   {
    "turn": 5,
    "response": {
     "id": "chatcmpl-b7cf136058164b279b135e99ddd25f14",
     "object": "chat.completion",
     "created": 1792427592,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-81ffb9ccea5cb47c",
          "type": "function",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"python3 solve.py\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 2292,
      "completion_tokens": 43,
      "total_tokens": 2335,
      "prompt_tokens_details": {
       "cached_tokens": 1648
      },
      "cache_read_input_tokens": 1648,
      "completion_tokens_details": {
       "reasoning_tokens": 0
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.00025716
     },
     "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": "python3 solve.py"
    },
    "result": "exit=1\nstdout:\n\nstderr:\nTraceback (most recent call last):\n  File \"./usecase-runner/runs/d11-deepseek-v4-1-flash/work/solve.py\", line 37, in <module>\n    for src,dst in moves(s):\n                   ~~~~~^^^\n  File \"./usecase-runner/runs/d11-deepseek-v4-1-flash/work/solve.py\", line 26, in moves\n    if legal(st,src,dst):\n       ~~~~~^^^^^^^^^^^^\n  File \"./usecase-runner/runs/d11-deepseek-v4-1-flash/work/solve.py\", line 17, in legal\n    if not st[src]: return False\n           ~~^^^^^\nTypeError: tuple indices must be integers or slices, not str\n"
   },
   {
    "turn": 6,
    "response": {
     "id": "chatcmpl-07029ad4cb4f485fbc669e411e4c136f",
     "object": "chat.completion",
     "created": 1792427595,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": "Fix indexing: st is tuple of tuples indexed by position.",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-8a1e26f3b205dc05",
          "type": "function",
          "function": {
           "name": "write_file",
           "arguments": "{\"content\": \"import json, collections\\n\\nW={\\\"a\\\":5,\\\"b\\\":4,\\\"c\\\":3,\\\"d\\\":2,\\\"e\\\":1,\\\"f\\\":3}\\nstacks=[\\\"A\\\",\\\"B\\\",\\\"C\\\",\\\"D\\\"]\\nidx={k:i for i,k in enumerate(stacks)}\\n\\nstart=json.load(open(\\\"state.json\\\"))\\ngoal=json.load(open(\\\"goal.json\\\"))\\n\\ndef norm(st):\\n    return tuple(tuple(st[k]) for k in stacks)\\n\\nstart=norm(start)\\ngoal=norm(goal)\\n\\ndef legal(st,src,dst):\\n    if src==dst: return False\\n    si,di=idx[src],idx[dst]\\n    if not st[si]: return False\\n    c=st[si][-1]\\n    if dst==\\\"D\\\" and len(st[di])>=2: return False\\n    if st[di] and W[st[di][-1]]<W[c]: return False\\n    return True\\n\\ndef moves(st):\\n    for src in stacks:\\n        for dst in stacks:\\n            if legal(st,src,dst):\\n                yield src,dst\\n\\nprev={start:None}\\nq=collections.deque([start])\\nfound=None\\nwhile q:\\n    s=q.popleft()\\n    if s==goal:\\n        found=s; break\\n    for src,dst in moves(s):\\n        si,di=idx[src],idx[dst]\\n        ns=list(s)\\n        ns[di]=ns[di]+(ns[si][-1],)\\n        ns[si]=ns[si][:-1]\\n        ns=tuple(ns)\\n        if ns not in prev:\\n            prev[ns]=(s,src,dst)\\n            q.append(ns)\\n\\nif found is None:\\n    print(\\\"NO SOLUTION\\\")\\nelse:\\n    path=[]\\n    s=found\\n    while prev[s] is not None:\\n        ps,src,dst=prev[s]\\n        path.append((src,dst))\\n        s=ps\\n    path.reverse()\\n    print(\\\"LEN\\\",len(path))\\n    for m in path:\\n        print(m[0],m[1])\\n\", \"path\": \"solve.py\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 2531,
      "completion_tokens": 506,
      "total_tokens": 3037,
      "prompt_tokens_details": {
       "cached_tokens": 2162
      },
      "cache_read_input_tokens": 2162,
      "completion_tokens_details": {
       "reasoning_tokens": 12
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.000734115
     },
     "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": {
     "content": "import json, collections\n\nW={\"a\":5,\"b\":4,\"c\":3,\"d\":2,\"e\":1,\"f\":3}\nstacks=[\"A\",\"B\",\"C\",\"D\"]\nidx={k:i for i,k in enumerate(stacks)}\n\nstart=json.load(open(\"state.json\"))\ngoal=json.load(open(\"goal.json\"))\n\ndef norm(st):\n    return tuple(tuple(st[k]) for k in stacks)\n\nstart=norm(start)\ngoal=norm(goal)\n\ndef legal(st,src,dst):\n    if src==dst: return False\n    si,di=idx[src],idx[dst]\n    if not st[si]: return False\n    c=st[si][-1]\n    if dst==\"D\" and len(st[di])>=2: return False\n    if st[di] and W[st[di][-1]]<W[c]: return False\n    return True\n\ndef moves(st):\n    for src in stacks:\n        for dst in stacks:\n            if legal(st,src,dst):\n                yield src,dst\n\nprev={start:None}\nq=collections.deque([start])\nfound=None\nwhile q:\n    s=q.popleft()\n    if s==goal:\n        found=s; break\n    for src,dst in moves(s):\n        si,di=idx[src],idx[dst]\n        ns=list(s)\n        ns[di]=ns[di]+(ns[si][-1],)\n        ns[si]=ns[si][:-1]\n        ns=tuple(ns)\n        if ns not in prev:\n            prev[ns]=(s,src,dst)\n            q.append(ns)\n\nif found is None:\n    print(\"NO SOLUTION\")\nelse:\n    path=[]\n    s=found\n    while prev[s] is not None:\n        ps,src,dst=prev[s]\n        path.append((src,dst))\n        s=ps\n    path.reverse()\n    print(\"LEN\",len(path))\n    for m in path:\n        print(m[0],m[1])\n",
     "path": "solve.py"
    },
    "result": "wrote 1315 chars"
   },
   {
    "turn": 7,
    "response": {
     "id": "chatcmpl-6808465f723e4466a109a08e2f4b2638",
     "object": "chat.completion",
     "created": 1792427599,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-b1195e7dfe4e81e1",
          "type": "function",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"python3 solve.py\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 3042,
      "completion_tokens": 43,
      "total_tokens": 3085,
      "prompt_tokens_details": {
       "cached_tokens": 2402
      },
      "cache_read_input_tokens": 2402,
      "completion_tokens_details": {
       "reasoning_tokens": 0
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.00026161500000000004
     },
     "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": "python3 solve.py"
    },
    "result": "exit=0\nstdout:\nLEN 13\nB C\nA C\nB D\nA D\nA B\nD A\nC A\nD B\nC D\nC B\nD B\nA B\nA C\n\nstderr:\n"
   },
   {
    "turn": 8,
    "response": {
     "id": "chatcmpl-93b9395fc6d042059fc5d7e6ee90b5b2",
     "object": "chat.completion",
     "created": 1792427601,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "BFS found a 13-move optimal solution. Let me verify and execute it.",
        "reasoning_content": "Let me verify this sequence manually. Start:\nA: a c e\nB: b d\nC: f\nD: \n\nGoal: A:[], B:[a,b,f,d,e], C:[c], D:[]\n\nMoves:\n1. B C: top of B is d(w2) onto C top f(w3). 3>=2 ok. B: b, C: f d\n2. A C: top of A is e(w1) onto C top d(w2). ok. A: a c, C: f d e\n3. B D: top B is b(w4) onto D empty. B: [], D: b\n4. A D: top A is c(w3) onto D top b(w4). ok. A: a, D: b c\n5. A B: top A is a(w5) onto B empty. A: [], B: a\n6. D A: top D is c(w3) onto A empty. D: b, A: c\n7. C A: top C is e(w1) onto A top c(w3). ok. C: f d, A: c e\n8. D B: top D is b(w4) onto B top a(w5). ok. D: [], B: a b\n9. C D: top C is d(w2) onto D empty. C: f, D: d\n10. C B: top C is f(w3) onto B top b(w4). ok. C: [], B: a b f\n11. D B: top D is d(w2) onto B top f(w3). ok. D: [], B: a b f d\n12. A B: top A is e(w1) onto B top d(w2). ok. A: c, B: a b f d e\n13. A C: top A is c(w3) onto C empty. A: [], C: c\n\nFinal: A:[], B:[a,b,f,d,e], C:[c], D:[] \u2713 matches goal.\n\n13 moves. Let me check if BFS found optimal \u2014 yes BFS gives shortest. But wait, is there a shorter solution? BFS guarantees shortest. Good.\n\nNow execute the moves. Note calls.log already has \"status\" logged. That's fine, status doesn't count as move presumably. Let me just run the moves.\n\nLet me run them.",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-a67b2bbea79e4745",
          "type": "function",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"cd \\\"$(pwd)\\\" && for m in \\\"B C\\\" \\\"A C\\\" \\\"B D\\\" \\\"A D\\\" \\\"A B\\\" \\\"D A\\\" \\\"C A\\\" \\\"D B\\\" \\\"C D\\\" \\\"C B\\\" \\\"D B\\\" \\\"A B\\\" \\\"A C\\\"; do python3 wh.py move $m; done; echo \\\"---\\\"; python3 wh.py status\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 3150,
      "completion_tokens": 654,
      "total_tokens": 3804,
      "prompt_tokens_details": {
       "cached_tokens": 2912
      },
      "cache_read_input_tokens": 2912,
      "completion_tokens_details": {
       "reasoning_tokens": 516
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.00087804
     },
     "venice_parameters": {
      "strip_thinking_response": false,
      "disable_thinking": false,
      "enable_e2ee": true,
      "enable_web_search": "off",
      "enable_web_scraping": false,
      "enable_web_citations": false,
      "include_search_results_in_stream": false,
      "include_venice_system_prompt": false,
      "enable_x_search": false,
      "web_search_citations": [],
      "return_search_results_as_documents": false
     }
    }
   },
   {
    "turn": 8,
    "tool": "run_shell",
    "args": {
     "command": "cd \"$(pwd)\" && for m in \"B C\" \"A C\" \"B D\" \"A D\" \"A B\" \"D A\" \"C A\" \"D B\" \"C D\" \"C B\" \"D B\" \"A B\" \"A C\"; do python3 wh.py move $m; done; echo \"---\"; python3 wh.py status"
    },
    "result": "exit=0\nstdout:\nok\nok\nok\nok\nok\nok\nok\nok\nok\nok\nok\nok\nok\n---\nA: \nB: a(w5) b(w4) f(w3) d(w2) e(w1)\nC: c(w3)\nD: \ngoal: {\"A\": [], \"B\": [\"a\", \"b\", \"f\", \"d\", \"e\"], \"C\": [\"c\"], \"D\": []}\n\nstderr:\n"
   },
   {
    "turn": 9,
    "response": {
     "id": "chatcmpl-4cc7c94b600f49348536df938745429d",
     "object": "chat.completion",
     "created": 1792427607,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "Goal reached. Let me clean up the helper script.",
        "reasoning_content": "Goal reached. Let me clean up solve.py? It's fine to leave, but the task says don't edit certain files. solve.py is extra. Let me remove it to keep clean. Actually it doesn't matter. I'll remove it.\n\nLet me verify calls.log.",
        "tool_calls": [
         {
          "index": 0,
          "id": "chatcmpl-tool-b00d7887f651ffa6",
          "type": "function",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"rm -f solve.py; cat calls.log\"}"
          },
          "name": null
         }
        ],
        "tools": null
       },
       "finish_reason": "tool_calls"
      }
     ],
     "usage": {
      "prompt_tokens": 3405,
      "completion_tokens": 114,
      "total_tokens": 3519,
      "prompt_tokens_details": {
       "cached_tokens": 3020
      },
      "cache_read_input_tokens": 3020,
      "completion_tokens_details": {
       "reasoning_tokens": 56
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.00027495
     },
     "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": 9,
    "tool": "run_shell",
    "args": {
     "command": "rm -f solve.py; cat calls.log"
    },
    "result": "exit=0\nstdout:\nstatus\nmove B C\nmove A C\nmove B D\nmove A D\nmove A B\nmove D A\nmove C A\nmove D B\nmove C D\nmove C B\nmove D B\nmove A B\nmove A C\nstatus\n\nstderr:\n"
   },
   {
    "turn": 10,
    "response": {
     "id": "chatcmpl-837ef9b543e849aa9e0ca98ab6ba42f1",
     "object": "chat.completion",
     "created": 1792427608,
     "model": "deepseek-v4-1-flash",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "Done. I reached the goal configuration.\n\n**Approach:** I read `wh.py`'s rules (top crate moves only; a crate can only go on an empty stack or a crate of equal/greater weight; dock `D` holds max 2), then wrote a BFS solver over the state space to find the minimum-length move sequence, and executed it.\n\n**Result:** 13 `move` calls, all accepted (0 rejected), reaching:\n- `A: []`\n- `B: a b f d e`\n- `C: c`\n- `D: []`\n\nwhich matches `goal.json` exactly. The BFS guarantees this is the optimal (fewest-move) solution.",
        "reasoning_content": "The status calls are logged too. The task says score depends on move calls. Status calls are logged but presumably don't count as moves. But to be safe... the grader replays calls.log. Status calls are harmless. But they might count? The task says \"your score depends on reaching the goal with as few move calls as possible (rejected moves count)\". So status doesn't count. Fine.\n\nDone.",
        "tools": null
       },
       "finish_reason": "stop"
      }
     ],
     "usage": {
      "prompt_tokens": 3540,
      "completion_tokens": 233,
      "total_tokens": 3773,
      "prompt_tokens_details": {
       "cached_tokens": 3276
      },
      "cache_read_input_tokens": 3276,
      "completion_tokens_details": {
       "reasoning_tokens": 84
      }
     },
     "cost": {
      "usd": 0,
      "diem": 0.00038337000000000006
     },
     "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
     }
    }
   }
  ]
 }
]

Get new runs and ranking changes weekly