Grok 4.3 (Venice) on Fill and submit job applications from a resume

XGrok 4.3 (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Cost: $0.02
Wall time: 16s
Human step-ins: 0
Outcome: Pass

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Exact prompt

This is a sandboxed mock job portal. resume.json is the candidate. forms/ has two job application forms (field definitions). For each form, write a JSON file {"job_id": ..., "answers": {field_name: value}} filled truthfully from the resume (never invent facts), then submit it with: python3 submit.py <file>. Fix and resubmit if rejected. Both applications must end up SUBMITTED.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): This is a sandboxed mock job portal. resume.json is the candidate. forms/ has two job application forms (field definitions). For each form, write a JSON file {"job_id": ..., "answers": {field_name: value}} filled truthfully from the resume (never invent facts), then submit it with: python3 submit.py <file>. Fix and resubmit if rejected. Both applications must end up SUBMITTED. Inspired by https://x.com/SAkasxh/status/2104655629021565156 (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: ACME submitted; Globex submitted; ACME identity fields match resume; ACME years_experience = 6-9; ACME authorized = yes; ACME skills only from resume; Globex names/title/email match; Globex relocation false; Globex salary = 165000; Globex linkedin from resume (if given).

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 (10/10 checks). Runner notes: Adapted: mock job portal (local submit.py validator); no real applications. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.

Metrics

Cost: $0.02
Wall time: 16s
Human step-ins: 0
Turns: 12

Model usage
Model	Input tok	Output tok	Cost
XGrok 4.3 (Venice)venice/grok-4-3	23,767	1,883	$0.02

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: ACME submitted; Globex submitted; ACME identity fields match resume; ACME years_experience = 6-9; ACME authorized = yes; ACME skills only from resume; Globex names/title/email match; Globex relocation false; Globex salary = 165000; Globex linkedin from resume (if given).
Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

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

Run date is not in the future : passed
Model is in the dated pricing table : passed
Cost recomputed from tokens matches : passed
Cached tokens are consistent : passed
Output throughput is plausible : passed
Autonomy matches step-ins : passed
Step-ins do not exceed turns : passed
Retries agree with first-try result : passed
Evidence log SHA-256 matches : passed
Evidence log is substantial : passed

Evidence log

{"turn": 1, "response": {"id": "86a09f89-0898-9f6d-8724-bb9370661da7", "object": "chat.completion", "created": 1792023553, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 417 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_86a09f89-0898-9f6d-8724-bb9370661da7", "data": "lIpHOwteu68YfOn0UybreQhuEst/6rxU/bfJ5tE+hxFPnN59VJURf/qBFSUAZzuytY+/lSSBf+GX61hYr9zzoxqneNUGHxd4lk4BBpvSRKxPAVm3EtFF63NfKr6bGbOeHmCHNGfHsVhDquslcYxAAEwaUSIAhea6svsAj4fFJCRRXprxVpEIpH4f/53E/LiVKQeQoUJ6WEMZz1Y/NLikxZQlKuqtgvHYS/fHCjWXT4sABrP016wbNsQhoDDzyHUTlQq2bGENCmqmdD1YDbjpRB0PFqkJdufzlWQ8TeU5xsIb6pdep0B/2ttsRbkkkMSIsRMZHiFMeOKEgWe5zcfCGsxy9C5qV5bg/Er/VHqQC3W37L7Qh+1ab2KWeCShbc3hceSWZM+ShQ"}], "tool_calls": [{"id": "call-e712524f-2aff-4171-a1e7-b69f741857de-0", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\":\".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 566, "completion_tokens": 68, "total_tokens": 634, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 58}}, "cost": {"usd": 0, "diem": 0.00084384}, "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": "./forms/acme-data-eng.json\n./forms/globex-analytics.json\n./resume.json\n./submit.py"}
{"turn": 2, "response": {"id": "5b844139-9aa6-9e21-b962-55132bcf7a00", "object": "chat.completion", "created": 1792023554, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 421 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_5b844139-9aa6-9e21-b962-55132bcf7a00", "data": "mgddRGDr1kLX9zHnYgliI2qoikbAdTvlRqQBFisEzH/HckmXZdTM0b8srfgNWihPC4cyTqviNfxd82PCJme1Xj1kz4DPRUWpPNPYVZbGIVoO/sadv3KQLx4JnQynWBfTgb5F0LjYx9QUiP8zeNtyVKZI6szXdqRt3YXFtf9f/ICLbW+lKqgLCkyCuJon8IfBWOMJsxefnwwPmm2QK8zzpEflwoq0hSEn6EghRZ07DFMRlZ66z9G6S0u3Vi+AgFnIhvs5PU58kWdOT7QFmKKe+4w7nXHgS5gGtwUdmxMwHOJRQlevwDshD0IgvHObVOS4s+KJwHUgydFPTkLUX4D5pTQeawmKVVSB/UlCVVBG/3Bj+d9WZm62xlB/sPLc/fmM6g9RcuquHd2TnA"}], "tool_calls": [{"id": "call-893814ac-52bf-416d-a985-954a5c917499-1", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"resume.json\"}"}}, {"id": "call-893814ac-52bf-416d-a985-954a5c917499-2", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"forms/acme-data-eng.json\"}"}}, {"id": "call-893814ac-52bf-416d-a985-954a5c917499-3", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"forms/globex-analytics.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 604, "completion_tokens": 97, "total_tokens": 701, "prompt_tokens_details": {"cached_tokens": 384}, "cache_read_input_tokens": 384, "completion_tokens_details": {"reasoning_tokens": 58}}, "cost": {"usd": 0, "diem": 0.00067523}, "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": "resume.json"}, "result": "{\n  \"name\": \"Dana Okafor\",\n  \"email\": \"[REDACTED:email]\",\n  \"phone\": \"[REDACTED:phone]\",\n  \"location\": \"Boston, MA\",\n  \"years_experience\": 7,\n  \"current_title\": \"Senior Data Engineer\",\n  \"skills\": [\n    \"Python\",\n    \"SQL\",\n    \"Airflow\",\n    \"Spark\",\n    \"dbt\"\n  ],\n  \"work_authorization\": \"US citizen\",\n  \"willing_to_relocate\": false,\n  \"linkedin\": \"https://linkedin.com/in/danaokafor-example\",\n  \"salary_expectation_usd\": 165000\n}"}
{"turn": 2, "tool": "read_file", "args": {"path": "forms/acme-data-eng.json"}, "result": "{\n  \"job_id\": \"ACME-1042\",\n  \"title\": \"Data Engineer\",\n  \"fields\": [\n    {\n      \"name\": \"full_name\",\n      \"type\": \"text\",\n      \"required\": true\n    },\n    {\n      \"name\": \"email\",\n      \"type\": \"email\",\n      \"required\": true\n    },\n    {\n      \"name\": \"phone\",\n      \"type\": \"tel\",\n      \"required\": true\n    },\n    {\n      \"name\": \"years_experience\",\n      \"type\": \"select\",\n      \"options\": [\n        \"0-2\",\n        \"3-5\",\n        \"6-9\",\n        \"10+\"\n      ],\n      \"required\": true\n    },\n    {\n      \"name\": \"authorized_to_work_us\",\n      \"type\": \"select\",\n      \"options\": [\n        \"yes\",\n        \"no\"\n      ],\n      \"required\": true\n    },\n    {\n      \"name\": \"top_skills\",\n      \"type\": \"multiselect\",\n      \"options\": [\n        \"Python\",\n        \"Java\",\n        \"SQL\",\n        \"Spark\",\n        \"Kafka\",\n        \"dbt\"\n      ],\n      \"max\": 3,\n      \"required\": true\n    },\n    {\n      \"name\": \"why_acme\",\n      \"type\": \"textarea\",\n      \"min_words\": 40,\n      \"max_words\": 120,\n      \"required\": true\n    }\n  ]\n}"}
{"turn": 2, "tool": "read_file", "args": {"path": "forms/globex-analytics.json"}, "result": "{\n  \"job_id\": \"GLX-77\",\n  \"title\": \"Analytics Engineer\",\n  \"fields\": [\n    {\n      \"name\": \"first_name\",\n      \"type\": \"text\",\n      \"required\": true\n    },\n    {\n      \"name\": \"last_name\",\n      \"type\": \"text\",\n      \"required\": true\n    },\n    {\n      \"name\": \"email\",\n      \"type\": \"email\",\n      \"required\": true\n    },\n    {\n      \"name\": \"current_title\",\n      \"type\": \"text\",\n      \"required\": true\n    },\n    {\n      \"name\": \"open_to_relocation\",\n      \"type\": \"checkbox\",\n      \"required\": true\n    },\n    {\n      \"name\": \"desired_salary\",\n      \"type\": \"number\",\n      \"min\": 50000,\n      \"max\": 400000,\n      \"required\": true\n    },\n    {\n      \"name\": \"linkedin_url\",\n      \"type\": \"url\",\n      \"required\": false\n    },\n    {\n      \"name\": \"cover_note\",\n      \"type\": \"textarea\",\n      \"min_words\": 30,\n      \"max_words\": 100,\n      \"required\": true\n    }\n  ]\n}"}
{"turn": 3, "response": {"id": "4e84d9f8-774e-9937-9c63-b88c98f0f273", "object": "chat.completion", "created": 1792023555, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "I will create two JSON application files from the resume and submit them with submit.py.\n\nDrafting the first application for ACME-1042. The why_acme field lacks supporting resume details, so I will write a minimal truthful statement without inventing facts.\n\n[encrypted reasoning omitted, 1441 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_4e84d9f8-774e-9937-9c63-b88c98f0f273", "data": "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"}], "tool_calls": [{"id": "call-3ecda38e-637b-4c54-bcb0-efc1d7617021-4", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"acme-answers.json\",\"content\":\"{\\\"job_id\\\": \\\"ACME-1042\\\", \\\"answers\\\": {\\\"full_name\\\": \\\"Dana Okafor\\\", \\\"email\\\": \\\"[REDACTED:email]\\\", \\\"phone\\\": \\\"[REDACTED:phone]\\\", \\\"years_experience\\\": \\\"6-9\\\", \\\"authorized_to_work_us\\\": \\\"yes\\\", \\\"top_skills\\\": [\\\"Python\\\", \\\"SQL\\\", \\\"Spark\\\"], \\\"why_acme\\\": \\\"I am a data engineer with 7 years of experience in Python, SQL, Airflow, Spark and dbt. I seek opportunities to apply my skills in building reliable data pipelines.\\\"}}\"}"}}, {"id": "call-3ecda38e-637b-4c54-bcb0-efc1d7617021-5", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"globex-answers.json\",\"content\":\"{\\\"job_id\\\": \\\"GLX-77\\\", \\\"answers\\\": {\\\"first_name\\\": \\\"Dana\\\", \\\"last_name\\\": \\\"Okafor\\\", \\\"email\\\": \\\"[REDACTED:email]\\\", \\\"current_title\\\": \\\"Senior Data Engineer\\\", \\\"open_to_relocation\\\": false, \\\"desired_salary\\\": 165000, \\\"linkedin_url\\\": \\\"https://linkedin.com/in/danaokafor-example\\\", \\\"cover_note\\\": \\\"Experienced data professional with background in analytics engineering tools including SQL, dbt and Spark. Looking for roles matching my 7 years expertise.\\\"}}\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1374, "completion_tokens": 531, "total_tokens": 1905, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 255}}, "cost": {"usd": 0, "diem": 0.0033014900000000002}, "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": "write_file", "args": {"path": "acme-answers.json", "content": "{\"job_id\": \"ACME-1042\", \"answers\": {\"full_name\": \"Dana Okafor\", \"email\": \"[REDACTED:email]\", \"phone\": \"[REDACTED:phone]\", \"years_experience\": \"6-9\", \"authorized_to_work_us\": \"yes\", \"top_skills\": [\"Python\", \"SQL\", \"Spark\"], \"why_acme\": \"I am a data engineer with 7 years of experience in Python, SQL, Airflow, Spark and dbt. I seek opportunities to apply my skills in building reliable data pipelines.\"}}"}, "result": "wrote 409 chars"}
{"turn": 3, "tool": "write_file", "args": {"path": "globex-answers.json", "content": "{\"job_id\": \"GLX-77\", \"answers\": {\"first_name\": \"Dana\", \"last_name\": \"Okafor\", \"email\": \"[REDACTED:email]\", \"current_title\": \"Senior Data Engineer\", \"open_to_relocation\": false, \"desired_salary\": 165000, \"linkedin_url\": \"https://linkedin.com/in/danaokafor-example\", \"cover_note\": \"Experienced data professional with background in analytics engineering tools including SQL, dbt and Spark. Looking for roles matching my 7 years expertise.\"}}"}, "result": "wrote 445 chars"}
{"turn": 4, "response": {"id": "47190602-3790-9a6b-bb0e-d5bc24029a58", "object": "chat.completion", "created": 1792023558, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 82 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_47190602-3790-9a6b-bb0e-d5bc24029a58", "data": "3pS830VvjWOYOa7dK8uvmctKRhCrZRwjbDI5yZqz1T6x8MOEDaAZP7Q2Kbc"}], "tool_calls": [{"id": "call-fe2db3f1-fe5f-488d-88bd-ca39df28b154-6", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 submit.py acme-answers.json\"}"}}, {"id": "call-fe2db3f1-fe5f-488d-88bd-ca39df28b154-7", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 submit.py globex-answers.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1673, "completion_tokens": 39, "total_tokens": 1712, "prompt_tokens_details": {"cached_tokens": 384}, "cache_read_input_tokens": 384, "completion_tokens_details": {"reasoning_tokens": 4}}, "cost": {"usd": 0, "diem": 0.00202907}, "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 submit.py acme-answers.json"}, "result": "exit=1\nstdout:\n\nstderr:\nREJECTED: word count why_acme\n"}
{"turn": 4, "tool": "run_shell", "args": {"command": "python3 submit.py globex-answers.json"}, "result": "exit=1\nstdout:\n\nstderr:\nREJECTED: word count cover_note\n"}
{"turn": 5, "response": {"id": "ae045a7c-d9c5-955e-a337-fa256e8b80ac", "object": "chat.completion", "created": 1792023559, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 93 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_ae045a7c-d9c5-955e-a337-fa256e8b80ac", "data": "rH2t142+2yHVwAOCn1g9TJ66jUF2KvJZryCezjPcHIT6Sqzkvn6hzWH+3jTyzzrdxAwDzw"}], "tool_calls": [{"id": "call-7795be9b-63b5-4ac4-a0da-58e3b6ecfeca-8", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"acme-answers.json\",\"content\":\"{\\\"job_id\\\": \\\"ACME-1042\\\", \\\"answers\\\": {\\\"full_name\\\": \\\"Dana Okafor\\\", \\\"email\\\": \\\"[REDACTED:email]\\\", \\\"phone\\\": \\\"[REDACTED:phone]\\\", \\\"years_experience\\\": \\\"6-9\\\", \\\"authorized_to_work_us\\\": \\\"yes\\\", \\\"top_skills\\\": [\\\"Python\\\", \\\"SQL\\\", \\\"Spark\\\"], \\\"why_acme\\\": \\\"I am a data engineer with seven years of experience using Python SQL Airflow Spark and dbt. I seek opportunities to apply my skills in building reliable data pipelines at Acme.\\\"}}\"}"}}, {"id": "call-7795be9b-63b5-4ac4-a0da-58e3b6ecfeca-9", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"globex-answers.json\",\"content\":\"{\\\"job_id\\\": \\\"GLX-77\\\", \\\"answers\\\": {\\\"first_name\\\": \\\"Dana\\\", \\\"last_name\\\": \\\"Okafor\\\", \\\"email\\\": \\\"[REDACTED:email]\\\", \\\"current_title\\\": \\\"Senior Data Engineer\\\", \\\"open_to_relocation\\\": false, \\\"desired_salary\\\": 165000, \\\"linkedin_url\\\": \\\"https://linkedin.com/in/danaokafor-example\\\", \\\"cover_note\\\": \\\"Experienced data professional with background in analytics engineering tools including SQL dbt and Spark. Looking for roles matching my seven years expertise in data.\\\"}}\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1756, "completion_tokens": 281, "total_tokens": 2037, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 6}}, "cost": {"usd": 0, "diem": 0.00313643}, "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": "acme-answers.json", "content": "{\"job_id\": \"ACME-1042\", \"answers\": {\"full_name\": \"Dana Okafor\", \"email\": \"[REDACTED:email]\", \"phone\": \"[REDACTED:phone]\", \"years_experience\": \"6-9\", \"authorized_to_work_us\": \"yes\", \"top_skills\": [\"Python\", \"SQL\", \"Spark\"], \"why_acme\": \"I am a data engineer with seven years of experience using Python SQL Airflow Spark and dbt. I seek opportunities to apply my skills in building reliable data pipelines at Acme.\"}}"}, "result": "wrote 421 chars"}
{"turn": 5, "tool": "write_file", "args": {"path": "globex-answers.json", "content": "{\"job_id\": \"GLX-77\", \"answers\": {\"first_name\": \"Dana\", \"last_name\": \"Okafor\", \"email\": \"[REDACTED:email]\", \"current_title\": \"Senior Data Engineer\", \"open_to_relocation\": false, \"desired_salary\": 165000, \"linkedin_url\": \"https://linkedin.com/in/danaokafor-example\", \"cover_note\": \"Experienced data professional with background in analytics engineering tools including SQL dbt and Spark. Looking for roles matching my seven years expertise in data.\"}}"}, "result": "wrote 456 chars"}
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{"turn": 6, "tool": "run_shell", "args": {"command": "python3 submit.py acme-answers.json"}, "result": "exit=1\nstdout:\n\nstderr:\nREJECTED: word count why_acme\n"}
{"turn": 6, "tool": "run_shell", "args": {"command": "python3 submit.py globex-answers.json"}, "result": "exit=1\nstdout:\n\nstderr:\nREJECTED: word count cover_note\n"}
{"turn": 7, "response": {"id": "67c3f315-24c8-910d-afb9-6841c82abba3", "object": "chat.completion", "created": 1792023561, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 83 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_67c3f315-24c8-910d-afb9-6841c82abba3", "data": "/7VQ07jcSh/6CKbWsPspuKLcgj34+9jDvDjYziMR6zxmCOH2+ycuQmiVcErk"}], "tool_calls": [{"id": "call-7f38eb84-d889-4fde-af8a-09fc76d16586-12", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"acme-answers.json\",\"content\":\"{\\\"job_id\\\": \\\"ACME-1042\\\", \\\"answers\\\": {\\\"full_name\\\": \\\"Dana Okafor\\\", \\\"email\\\": \\\"[REDACTED:email]\\\", \\\"phone\\\": \\\"[REDACTED:phone]\\\", \\\"years_experience\\\": \\\"6-9\\\", \\\"authorized_to_work_us\\\": \\\"yes\\\", \\\"top_skills\\\": [\\\"Python\\\", \\\"SQL\\\", \\\"Spark\\\"], \\\"why_acme\\\": \\\"I am a data engineer with seven years of experience using Python SQL Airflow Spark and dbt. I seek opportunities to apply my skills in building reliable data pipelines at Acme and contribute to impactful projects.\\\"}}\"}"}}, {"id": "call-7f38eb84-d889-4fde-af8a-09fc76d16586-13", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"globex-answers.json\",\"content\":\"{\\\"job_id\\\": \\\"GLX-77\\\", \\\"answers\\\": {\\\"first_name\\\": \\\"Dana\\\", \\\"last_name\\\": \\\"Okafor\\\", \\\"email\\\": \\\"[REDACTED:email]\\\", \\\"current_title\\\": \\\"Senior Data Engineer\\\", \\\"open_to_relocation\\\": false, \\\"desired_salary\\\": 165000, \\\"linkedin_url\\\": \\\"https://linkedin.com/in/danaokafor-example\\\", \\\"cover_note\\\": \\\"Experienced data professional with background in analytics engineering tools including SQL dbt and Spark. Looking for roles matching my seven years expertise in data engineering and analytics.\\\"}}\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2137, "completion_tokens": 287, "total_tokens": 2424, "prompt_tokens_details": {"cached_tokens": 2048}, "cache_read_input_tokens": 2048, "completion_tokens_details": {"reasoning_tokens": 4}}, "cost": {"usd": 0, "diem": 0.00140963}, "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": "write_file", "args": {"path": "acme-answers.json", "content": "{\"job_id\": \"ACME-1042\", \"answers\": {\"full_name\": \"Dana Okafor\", \"email\": \"[REDACTED:email]\", \"phone\": \"[REDACTED:phone]\", \"years_experience\": \"6-9\", \"authorized_to_work_us\": \"yes\", \"top_skills\": [\"Python\", \"SQL\", \"Spark\"], \"why_acme\": \"I am a data engineer with seven years of experience using Python SQL Airflow Spark and dbt. I seek opportunities to apply my skills in building reliable data pipelines at Acme and contribute to impactful projects.\"}}"}, "result": "wrote 458 chars"}
{"turn": 7, "tool": "write_file", "args": {"path": "globex-answers.json", "content": "{\"job_id\": \"GLX-77\", \"answers\": {\"first_name\": \"Dana\", \"last_name\": \"Okafor\", \"email\": \"[REDACTED:email]\", \"current_title\": \"Senior Data Engineer\", \"open_to_relocation\": false, \"desired_salary\": 165000, \"linkedin_url\": \"https://linkedin.com/in/danaokafor-example\", \"cover_note\": \"Experienced data professional with background in analytics engineering tools including SQL dbt and Spark. Looking for roles matching my seven years expertise in data engineering and analytics.\"}}"}, "result": "wrote 482 chars"}
{"turn": 8, "response": {"id": "dcc849c5-0f9f-962b-8ace-22537e26de5a", "object": "chat.completion", "created": 1792023563, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 83 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_dcc849c5-0f9f-962b-8ace-22537e26de5a", "data": "7Jqx1mJpaBVctCf9GxBGOCgi1ZOZLgDiV5JIrwRT70QY+4g6ZyAR57ORZhCn"}], "tool_calls": [{"id": "call-5d72bc85-0cf9-40ac-b80e-bf79766b37ee-14", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 submit.py acme-answers.json\"}"}}, {"id": "call-5d72bc85-0cf9-40ac-b80e-bf79766b37ee-15", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 submit.py globex-answers.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2443, "completion_tokens": 39, "total_tokens": 2482, "prompt_tokens_details": {"cached_tokens": 2048}, "cache_read_input_tokens": 2048, "completion_tokens_details": {"reasoning_tokens": 4}}, "cost": {"usd": 0, "diem": 0.0011423100000000001}, "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": "python3 submit.py acme-answers.json"}, "result": "exit=1\nstdout:\n\nstderr:\nREJECTED: word count why_acme\n"}
{"turn": 8, "tool": "run_shell", "args": {"command": "python3 submit.py globex-answers.json"}, "result": "exit=1\nstdout:\n\nstderr:\nREJECTED: word count cover_note\n"}
{"turn": 9, "response": {"id": "74e0a55a-e96c-95bb-9406-d78574eed4e8", "object": "chat.completion", "created": 1792023564, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 102 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_74e0a55a-e96c-95bb-9406-d78574eed4e8", "data": "GulbwtXGkle8uPmVAQzgazWLvKXowg2EcvFDqbjSf6QTIVzPXR+dHubIRMO1p1aVbDlULSlBQheYmHA"}], "tool_calls": [{"id": "call-42f01cc2-48d5-45bc-86ae-8f68a7d40a57-16", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 -c \\\"\\nimport json\\nwith open('acme-answers.json') as f: data=json.load(f)\\nprint(len(data['answers']['why_acme'].split()))\\nwith open('globex-answers.json') as f: data=json.load(f)\\nprint(len(data['answers']['cover_note'].split()))\\n\\\"\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2526, "completion_tokens": 81, "total_tokens": 2607, "prompt_tokens_details": {"cached_tokens": 2432}, "cache_read_input_tokens": 2432, "completion_tokens_details": {"reasoning_tokens": 6}}, "cost": {"usd": 0, "diem": 0.00092207}, "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": "python3 -c \"\nimport json\nwith open('acme-answers.json') as f: data=json.load(f)\nprint(len(data['answers']['why_acme'].split()))\nwith open('globex-answers.json') as f: data=json.load(f)\nprint(len(data['answers']['cover_note'].split()))\n\""}, "result": "exit=0\nstdout:\n36\n27\n\nstderr:\n"}
{"turn": 10, "response": {"id": "8f2ab981-5c1d-9275-b03c-1076cd0746d6", "object": "chat.completion", "created": 1792023565, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 83 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_8f2ab981-5c1d-9275-b03c-1076cd0746d6", "data": "wz1z1W8xZMSH6K1lBkMJVWr8klIQiXY2PSK4+CdLB4z4y1+TMmJlCj2MDugW"}], "tool_calls": [{"id": "call-3ad977b5-3668-4004-9140-c9da5abf70e5-17", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"acme-answers.json\",\"content\":\"{\\\"job_id\\\": \\\"ACME-1042\\\", \\\"answers\\\": {\\\"full_name\\\": \\\"Dana Okafor\\\", \\\"email\\\": \\\"[REDACTED:email]\\\", \\\"phone\\\": \\\"[REDACTED:phone]\\\", \\\"years_experience\\\": \\\"6-9\\\", \\\"authorized_to_work_us\\\": \\\"yes\\\", \\\"top_skills\\\": [\\\"Python\\\", \\\"SQL\\\", \\\"Spark\\\"], \\\"why_acme\\\": \\\"I am a data engineer with seven years of experience using Python SQL Airflow Spark and dbt. I seek opportunities to apply my skills in building reliable data pipelines at Acme and contribute to impactful projects with a great team.\\\"}}\"}"}}, {"id": "call-3ad977b5-3668-4004-9140-c9da5abf70e5-18", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"globex-answers.json\",\"content\":\"{\\\"job_id\\\": \\\"GLX-77\\\", \\\"answers\\\": {\\\"first_name\\\": \\\"Dana\\\", \\\"last_name\\\": \\\"Okafor\\\", \\\"email\\\": \\\"[REDACTED:email]\\\", \\\"current_title\\\": \\\"Senior Data Engineer\\\", \\\"open_to_relocation\\\": false, \\\"desired_salary\\\": 165000, \\\"linkedin_url\\\": \\\"https://linkedin.com/in/danaokafor-example\\\", \\\"cover_note\\\": \\\"Experienced data professional with background in analytics engineering tools including SQL dbt and Spark. Looking for roles matching my seven years expertise in data engineering and analytics at a forward thinking company.\\\"}}\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2618, "completion_tokens": 296, "total_tokens": 2914, "prompt_tokens_details": {"cached_tokens": 2432}, "cache_read_input_tokens": 2432, "completion_tokens_details": {"reasoning_tokens": 4}}, "cost": {"usd": 0, "diem": 0.00166116}, "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": 10, "tool": "write_file", "args": {"path": "acme-answers.json", "content": "{\"job_id\": \"ACME-1042\", \"answers\": {\"full_name\": \"Dana Okafor\", \"email\": \"[REDACTED:email]\", \"phone\": \"[REDACTED:phone]\", \"years_experience\": \"6-9\", \"authorized_to_work_us\": \"yes\", \"top_skills\": [\"Python\", \"SQL\", \"Spark\"], \"why_acme\": \"I am a data engineer with seven years of experience using Python SQL Airflow Spark and dbt. I seek opportunities to apply my skills in building reliable data pipelines at Acme and contribute to impactful projects with a great team.\"}}"}, "result": "wrote 476 chars"}
{"turn": 10, "tool": "write_file", "args": {"path": "globex-answers.json", "content": "{\"job_id\": \"GLX-77\", \"answers\": {\"first_name\": \"Dana\", \"last_name\": \"Okafor\", \"email\": \"[REDACTED:email]\", \"current_title\": \"Senior Data Engineer\", \"open_to_relocation\": false, \"desired_salary\": 165000, \"linkedin_url\": \"https://linkedin.com/in/danaokafor-example\", \"cover_note\": \"Experienced data professional with background in analytics engineering tools including SQL dbt and Spark. Looking for roles matching my seven years expertise in data engineering and analytics at a forward thinking company.\"}}"}, "result": "wrote 512 chars"}
{"turn": 11, "response": {"id": "700caf94-4d1a-9772-a9f2-19878991493b", "object": "chat.completion", "created": 1792023567, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 105 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_700caf94-4d1a-9772-a9f2-19878991493b", "data": "pyw6BB8XpRF9OadB5SXHHT70pUAvWB7H5+NT+hC+aOUdlLStEjiJuUF3sqnXwvZgm5Mh/exjQXyACWFaxw"}], "tool_calls": [{"id": "call-3a9ff7e7-f33f-4ce5-bf62-563447541bb7-19", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 -c \\\"\\nimport json\\nwith open('acme-answers.json') as f: data=json.load(f)\\nprint(len(data['answers']['why_acme'].split()))\\nwith open('globex-answers.json') as f: data=json.load(f)\\nprint(len(data['answers']['cover_note'].split()))\\n\\\"\"}"}}, {"id": "call-3a9ff7e7-f33f-4ce5-bf62-563447541bb7-20", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 submit.py acme-answers.json && python3 submit.py globex-answers.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2933, "completion_tokens": 109, "total_tokens": 3042, "prompt_tokens_details": {"cached_tokens": 2560}, "cache_read_input_tokens": 2560, "completion_tokens_details": {"reasoning_tokens": 7}}, "cost": {"usd": 0, "diem": 0.00142693}, "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": 11, "tool": "run_shell", "args": {"command": "python3 -c \"\nimport json\nwith open('acme-answers.json') as f: data=json.load(f)\nprint(len(data['answers']['why_acme'].split()))\nwith open('globex-answers.json') as f: data=json.load(f)\nprint(len(data['answers']['cover_note'].split()))\n\""}, "result": "exit=0\nstdout:\n40\n32\n\nstderr:\n"}
{"turn": 11, "tool": "run_shell", "args": {"command": "python3 submit.py acme-answers.json && python3 submit.py globex-answers.json"}, "result": "exit=0\nstdout:\nSUBMITTED ACME-1042\nSUBMITTED GLX-77\n\nstderr:\n"}
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