Grok 4.3 (Venice) on Text World Cup final scores to a Signal group
XGrok 4.3 (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener
- Cost
- $0.0086
- Wall time
- 12s
- Human step-ins
- 0
- Outcome
- Pass
Compare with other models on this task →
Summary
Exact prompt
Sandboxed mock (no real messaging). feed/poll_00.json .. poll_05.json are successive snapshots of a mock ESPN scoreboard, one per 30-minute poll. Write notifier.py that processes the polls in order (simulating each poll) and sends every match's final result exactly once to the Signal group "wc-friends" using: python3 signal_send.py wc-friends "<text>" (text format: "FINAL: <match> <score>"). A match counts as final when status starts with "final". Keep state so repeated polls never resend. Run it once over all polls, then run it again to prove no duplicates are sent.
Task prompt given to the agent (headless, offline, synthetic fixture inputs): Sandboxed mock (no real messaging). feed/poll_00.json .. poll_05.json are successive snapshots of a mock ESPN scoreboard, one per 30-minute poll. Write notifier.py that processes the polls in order (simulating each poll) and sends every match's final result exactly once to the Signal group "wc-friends" using: python3 signal_send.py wc-friends "<text>" (text format: "FINAL: <match> <score>"). A match counts as final when status starts with "final". Keep state so repeated polls never resend. Run it once over all polls, then run it again to prove no duplicates are sent. Inspired by https://agentusecases.ai (listing: 'Text every World Cup final score to a friends' Signal group', github.com source) (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: exactly 3 messages (no duplicates after rerun); messages match expected text and order; all to wc-friends; notifier.py exists.
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 (4/4 checks). Runner notes: Adapted: ESPN polling + Signal replaced by mock feed snapshots and a mock signal_send.py outbox. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.
Metrics
- Cost
- $0.0086
- Wall time
- 12s
- Human step-ins
- 0
- Turns
- 7
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| XGrok 4.3 (Venice)venice/grok-4-3 | 7,693 | 850 | $0.0086 |
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: exactly 3 messages (no duplicates after rerun); messages match expected text and order; all to wc-friends; notifier.py exists.
- 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?
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": "508ada7e-5c6b-979a-a039-05e25db60c9e", "object": "chat.completion", "created": 1792023529, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "I need to write notifier.py that processes the five successive mock ESPN scoreboard polls in order.\n\n[encrypted reasoning omitted, 853 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_508ada7e-5c6b-979a-a039-05e25db60c9e", "data": "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"}], "tool_calls": [{"id": "call-094ea924-9137-4b8c-b097-db8e7ca4abc2-0", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\":\".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 614, "completion_tokens": 146, "total_tokens": 760, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 136}}, "cost": {"usd": 0, "diem": 0.00113274}, "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": "./feed/poll_00.json\n./feed/poll_01.json\n./feed/poll_02.json\n./feed/poll_03.json\n./feed/poll_04.json\n./feed/poll_05.json\n./signal_send.py"}
{"turn": 2, "response": {"id": "5c72b9e3-f8c9-90e5-b5ba-0bca86e12db1", "object": "chat.completion", "created": 1792023531, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 742 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_5c72b9e3-f8c9-90e5-b5ba-0bca86e12db1", "data": "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"}], "tool_calls": [{"id": "call-e7592cf5-2c61-4ab6-8f66-fae3c1c18ba7-1", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"feed/poll_00.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 681, "completion_tokens": 134, "total_tokens": 815, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 119}}, "cost": {"usd": 0, "diem": 0.0011939199999999998}, "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": "feed/poll_00.json"}, "result": "[\n {\n \"match\": \"ARG vs FRA\",\n \"status\": \"in_progress\",\n \"score\": \"1-0\"\n },\n {\n \"match\": \"BRA vs ENG\",\n \"status\": \"scheduled\",\n \"score\": null\n }\n]"}
{"turn": 3, "response": {"id": "c6a10ac2-33cc-95b9-ae8e-fbd63bf8d4de", "object": "chat.completion", "created": 1792023532, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 274 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_c6a10ac2-33cc-95b9-ae8e-fbd63bf8d4de", "data": "Jw6XgN3F+3WFItO3Q2OTAShTPLfEbgF57hqTDO/AXeCELp6a1vU3aEAcXRdB+xA1pvhdLiWlAwdYcrT1JYncMCK5kD3A96OZ0bMsDuKBh0bd+YdufFZYP1So3rWE7DaEu1lcr+p0BTgk9J/T3V20A+1BLiQ76cl6dvgJDqgEEniQr8eJ4AhH2I4G4DTypp1ibj4MxApTxFK9bnM3pPe+VbZVbldbJDpklvRg0md5ZrvRiIsObD3PbH1Pvz4"}], "tool_calls": [{"id": "call-b5f30f63-5eda-44c1-9e00-4cdad8f75e01-2", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"signal_send.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 759, "completion_tokens": 44, "total_tokens": 803, "prompt_tokens_details": {"cached_tokens": 640}, "cache_read_input_tokens": 640, "completion_tokens_details": {"reasoning_tokens": 32}}, "cost": {"usd": 0, "diem": 0.00044070000000000003}, "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": "signal_send.py"}, "result": "import sys,json,time\nopen(\"outbox.jsonl\",\"a\").write(json.dumps({\"group\":sys.argv[1],\"text\":sys.argv[2]})+\"\\n\"); print(\"sent\")\n"}
{"turn": 4, "response": {"id": "c3cf9839-54db-9a46-8c97-4ca4fde90df7", "object": "chat.completion", "created": 1792023533, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "I need to understand the task.\n\n[encrypted reasoning omitted, 429 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_c3cf9839-54db-9a46-8c97-4ca4fde90df7", "data": "31T00LDhT2hfx5AB97MxJwEIDdC0whdS259Olz1D24qk2LSCymwf9ecrRUy8cnX4T5oGCoQ2qcZIa2YzPMEdcz/XLwnSFFksgwW3XlXpzXPee/8ez4yvxooDKSHuzQpjz2v4/tW25ERpCpvBRe6Nq/18eoPjH+egWSlCYQIpgjAi0mL6+Otd/vagO4rvDDxizlf2X9rGURwyzt+o3+UffIrXNGnkY+74CcvQAIOwsrYra0h6yTa8ynmt6YXSlUe6p4TlyzmqhHxKsnttu0rr4UWLshFyE/0LZcxvx2SeqTdmfk613cUXM51jzJPGn7KVNjoA/Zpk01nbJzbikRYiFhPyLRS7VBzDhQM6hYyPhX0EKKQ22YMtzrXAA1H6RC8olpdiyLnQagP4QW0DUHA/0A"}], "tool_calls": [{"id": "call-4693e061-7e44-4bde-ab4c-cb5bfbc97d2b-3", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"feed/poll_01.json\"}"}}, {"id": "call-4693e061-7e44-4bde-ab4c-cb5bfbc97d2b-4", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"feed/poll_02.json\"}"}}, {"id": "call-4693e061-7e44-4bde-ab4c-cb5bfbc97d2b-5", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"feed/poll_03.json\"}"}}, {"id": "call-4693e061-7e44-4bde-ab4c-cb5bfbc97d2b-6", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"feed/poll_04.json\"}"}}, {"id": "call-4693e061-7e44-4bde-ab4c-cb5bfbc97d2b-7", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"feed/poll_05.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 816, "completion_tokens": 130, "total_tokens": 946, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 59}}, "cost": {"usd": 0, "diem": 0.0013743}, "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": "read_file", "args": {"path": "feed/poll_01.json"}, "result": "[\n {\n \"match\": \"ARG vs FRA\",\n \"status\": \"final\",\n \"score\": \"2-1\"\n },\n {\n \"match\": \"BRA vs ENG\",\n \"status\": \"in_progress\",\n \"score\": \"0-0\"\n },\n {\n \"match\": \"ESP vs GER\",\n \"status\": \"scheduled\",\n \"score\": null\n }\n]"}
{"turn": 4, "tool": "read_file", "args": {"path": "feed/poll_02.json"}, "result": "[\n {\n \"match\": \"ARG vs FRA\",\n \"status\": \"final\",\n \"score\": \"2-1\"\n },\n {\n \"match\": \"BRA vs ENG\",\n \"status\": \"in_progress\",\n \"score\": \"1-1\"\n },\n {\n \"match\": \"ESP vs GER\",\n \"status\": \"in_progress\",\n \"score\": \"0-1\"\n }\n]"}
{"turn": 4, "tool": "read_file", "args": {"path": "feed/poll_03.json"}, "result": "[\n {\n \"match\": \"ARG vs FRA\",\n \"status\": \"final\",\n \"score\": \"2-1\"\n },\n {\n \"match\": \"BRA vs ENG\",\n \"status\": \"final\",\n \"score\": \"2-1\"\n },\n {\n \"match\": \"ESP vs GER\",\n \"status\": \"in_progress\",\n \"score\": \"1-1\"\n }\n]"}
{"turn": 4, "tool": "read_file", "args": {"path": "feed/poll_04.json"}, "result": "[\n {\n \"match\": \"ARG vs FRA\",\n \"status\": \"final\",\n \"score\": \"2-1\"\n },\n {\n \"match\": \"BRA vs ENG\",\n \"status\": \"final\",\n \"score\": \"2-1\"\n },\n {\n \"match\": \"ESP vs GER\",\n \"status\": \"final_pens\",\n \"score\": \"1-1 (4-3 pens)\"\n }\n]"}
{"turn": 4, "tool": "read_file", "args": {"path": "feed/poll_05.json"}, "result": "[\n {\n \"match\": \"ARG vs FRA\",\n \"status\": \"final\",\n \"score\": \"2-1\"\n },\n {\n \"match\": \"BRA vs ENG\",\n \"status\": \"final\",\n \"score\": \"2-1\"\n },\n {\n \"match\": \"ESP vs GER\",\n \"status\": \"final_pens\",\n \"score\": \"1-1 (4-3 pens)\"\n }\n]"}
{"turn": 5, "response": {"id": "f6075f0e-1673-9a20-b5c3-2d4bb8bc0a61", "object": "chat.completion", "created": 1792023535, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "Writing notifier.py to process polls in order, send each final match result exactly once via the Signal script, and persist state in a file to prevent duplicate sends.\n\n[encrypted reasoning omitted, 245 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_f6075f0e-1673-9a20-b5c3-2d4bb8bc0a61", "data": "SU9XEQtjXgdvOvXSJhg9f1PWkgPDrzkVzC3Q6AYN0Piagd6lCMyCdZoA4Vzjcm1dywXvTGnc3BnvBO5ymH3MrZBRbIqm2wxpZc/LXA0bhE3mkhAFn2sm+Wkyxw4TRLsOWda4sa37w0J3K8zgnbXbw9kKbbX8Xzi8tqBp6yZnstu2gaPu+kirBtEG+FjskeCL3Fl0bgWVUa0IB+d4HYzhUAFGj+CRrQ"}], "tool_calls": [{"id": "call-50ba2b0e-5155-475a-afbf-216e41734c9c-8", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"notifier.py\",\"content\":\"#!/usr/bin/env python3\\nimport json, os, subprocess, sys\\n\\nSTATE = \\\"sent_state.json\\\"\\nOUTBOX = \\\"outbox.jsonl\\\"\\n\\ndef load_state():\\n if os.path.exists(STATE):\\n with open(STATE) as f:\\n return set(json.load(f))\\n return set()\\n\\ndef save_state(s):\\n with open(STATE, \\\"w\\\") as f:\\n json.dump(list(s), f)\\n\\ndef send(group, text):\\n subprocess.check_call([sys.executable, \\\"signal_send.py\\\", group, text])\\n\\ndef process_poll(poll_file, sent):\\n with open(poll_file) as f:\\n data = json.load(f)\\n for m in data:\\n if m.get(\\\"status\\\", \\\"\\\").startswith(\\\"final\\\"):\\n key = m[\\\"match\\\"]\\n if key not in sent:\\n score = m.get(\\\"score\\\") or \\\"\\\"\\n text = f\\\"FINAL: {key} {score}\\\".strip()\\n send(\\\"wc-friends\\\", text)\\n sent.add(key)\\n\\ndef main():\\n sent = load_state()\\n for i in range(6):\\n process_poll(f\\\"feed/poll_{i:02d}.json\\\", sent)\\n save_state(sent)\\n\\nif __name__ == \\\"__main__\\\":\\n main()\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1375, "completion_tokens": 303, "total_tokens": 1678, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 27}}, "cost": {"usd": 0, "diem": 0.00265767}, "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": "write_file", "args": {"path": "notifier.py", "content": "#!/usr/bin/env python3\nimport json, os, subprocess, sys\n\nSTATE = \"sent_state.json\"\nOUTBOX = \"outbox.jsonl\"\n\ndef load_state():\n if os.path.exists(STATE):\n with open(STATE) as f:\n return set(json.load(f))\n return set()\n\ndef save_state(s):\n with open(STATE, \"w\") as f:\n json.dump(list(s), f)\n\ndef send(group, text):\n subprocess.check_call([sys.executable, \"signal_send.py\", group, text])\n\ndef process_poll(poll_file, sent):\n with open(poll_file) as f:\n data = json.load(f)\n for m in data:\n if m.get(\"status\", \"\").startswith(\"final\"):\n key = m[\"match\"]\n if key not in sent:\n score = m.get(\"score\") or \"\"\n text = f\"FINAL: {key} {score}\".strip()\n send(\"wc-friends\", text)\n sent.add(key)\n\ndef main():\n sent = load_state()\n for i in range(6):\n process_poll(f\"feed/poll_{i:02d}.json\", sent)\n save_state(sent)\n\nif __name__ == \"__main__\":\n main()"}, "result": "wrote 993 chars"}
{"turn": 6, "response": {"id": "e3d19630-0fb6-9721-bd10-acb3ef7c9b3a", "object": "chat.completion", "created": 1792023538, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 107 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_e3d19630-0fb6-9721-bd10-acb3ef7c9b3a", "data": "pyLLzxMrcuQeBAqS551qKtdD3H7/7RApzV/f7gyKS8Jvkzbu7as1iPr+HpNRVrX0POysISyTXa7EmGZjrtY3"}], "tool_calls": [{"id": "call-63c10d23-d925-4f87-b94e-3756ce2f9997-9", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"rm -f sent_state.json outbox.jsonl; python3 notifier.py; python3 notifier.py; cat outbox.jsonl\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1661, "completion_tokens": 43, "total_tokens": 1704, "prompt_tokens_details": {"cached_tokens": 1280}, "cache_read_input_tokens": 1280, "completion_tokens_details": {"reasoning_tokens": 8}}, "cost": {"usd": 0, "diem": 0.0009571100000000001}, "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": "run_shell", "args": {"command": "rm -f sent_state.json outbox.jsonl; python3 notifier.py; python3 notifier.py; cat outbox.jsonl"}, "result": "exit=0\nstdout:\nsent\nsent\nsent\n{\"group\": \"wc-friends\", \"text\": \"FINAL: ARG vs FRA 2-1\"}\n{\"group\": \"wc-friends\", \"text\": \"FINAL: BRA vs ENG 2-1\"}\n{\"group\": \"wc-friends\", \"text\": \"FINAL: ESP vs GER 1-1 (4-3 pens)\"}\n\nstderr:\n"}
{"turn": 7, "response": {"id": "c1faf34e-ece7-9191-b4bb-5b37606ec51d", "object": "chat.completion", "created": 1792023540, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Wrote notifier.py; ran twice over polls (3 unique finals sent, 0 dups).", "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 266 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_c1faf34e-ece7-9191-b4bb-5b37606ec51d", "data": "fcnIE2EwRb2g7vCgnWQC5UYuCQa8RcqrV05xgm9xuYe30SbvpsCQG6AkROOsrNQwwH94hXac+0eE9ILEAHE97vYVxGFZXpKYcWIW5PUfKTP3TSRy3USiMlIcIdeZh+G//rh09HX1/F4QefPSYeK0Qjp6r1vZVLfhaZgc26CbkiOruwV141/YtxgfNuqoMi4qdofr09irlofznpAUdL0avb5pfsO48tvjpIedmKH7pGbc2FWKwEI"}]}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1787, "completion_tokens": 50, "total_tokens": 1837, "prompt_tokens_details": {"cached_tokens": 1536}, "cache_read_input_tokens": 1536, "completion_tokens_details": {"reasoning_tokens": 30}}, "cost": {"usd": 0, "diem": 0.0008512}, "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}}}