Gemma 4 31B Instruct (Venice) on Text World Cup final scores to a Signal group
GGemma 4 31B Instruct (Venice) · venice-mini-agent v1.0 · cloud · 2026-10-14 · by @bobsiopener
- Estimated cost
- $0.0021
- Wall time
- 57s
- Human step-ins
- 0
- Outcome
- Pass
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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 computed from Venice list prices and per-call usage (not confirmed by Venice billing for this run).
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 v1.0 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. cost_is_estimate=true: no Venice-reported billed amount recorded for this run. 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.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.0021
- Wall time
- 57s
- Human step-ins
- 0
- Turns
- 9
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| GGemma 4 31B Instruct (Venice)venice/google-gemma-4-31b-it | 10,513 | 2,999 | $0.0021 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Gemma 4 31B Instruct (Venice) (venice/google-gemma-4-31b-it) via
venice-mini-agent v1.0, 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.
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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": {"service_tier": "default", "id": "chatcmpl-R6lwEK8ID2DJPohEQhpcEHtO", "object": "chat.completion", "created": 1792017842, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "The objective is to create a `notifier.py` script that processes a series of JSON files (`feed/poll_00.json` to `feed/poll_05.json`) representing snapshots of a scoreboard.\nFor each match, when its status becomes \"final\", a notification should be sent via `python3 signal_send.py wc-friends \"FINAL: <match> <score>\"`.\nNotifications must be sent exactly once per match.\nThe script should be run twice to demonstrate that no duplicate notifications are sent on the second run.\n\nPlan:\n1. Explore the `feed` directory to understand the structure of the JSON files.\n2. Implement `notifier.py`.\n * It should read the files in order.\n * It should keep track of which matches have already been notified (using a state file).\n * It should identify matches that have transitioned to a \"final\" status.\n * It should call `python3 signal_send.py wc-friends \"FINAL: <match> <score>\"`.\n3. Run `notifier.py` the first time.\n4. Run `notifier.py` the second time to verify no duplicates.\n\nLet's start by listing the files.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-8f5921d28914edde", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\": \".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 401, "completion_tokens": 287, "total_tokens": 688, "prompt_tokens_details": {"cached_tokens": 224}, "cache_read_input_tokens": 224}, "cost": {"usd": 0, "diem": 0.00014471999999999998}, "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": {"service_tier": "default", "id": "chatcmpl-RLxddsvphAoT7gZTTJAKq6Rp", "object": "chat.completion", "created": 1792017843, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Okay, I need to examine the structure of the JSON files in the `feed/` directory to understand how to extract the match information and their status.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-a9ac70c100677512", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"feed/poll_00.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 494, "completion_tokens": 57, "total_tokens": 551, "prompt_tokens_details": {"cached_tokens": 384}, "cache_read_input_tokens": 384}, "cost": {"usd": 0, "diem": 6.828e-05}, "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": {"service_tier": "default", "id": "chatcmpl-RiAn0lQa4AUBYHlU24G7J5Be", "object": "chat.completion", "created": 1792017847, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Okay, I see the structure of the poll files. They are JSON lists of matches.\nI need to write `notifier.py` that:\n1. Iterates through `poll_00.json` to `poll_05.json` in order.\n2. Tracks which matches have already been sent as \"FINAL\".\n3. For each poll, checks if any match has a status starting with \"final\".\n4. If it's final and hasn't been sent, it calls `python3 signal_send.py wc-friends \"FINAL: <match> <score>\"`.\n5. Maintains state (likely in a file or just in memory for the first run, but the prompt says \"Run it once over all polls, then run it again to prove no duplicates are sent\", which implies state must be persisted between runs of `notifier.py`).\n\nWait, if I run `notifier.py` once, it processes all polls. If I run it again, it should not send anything. This means `notifier.py` needs to persist the set of finished matches.\n\nLet's check the other poll files to see how the status changes.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-9026cdf3aa7d35cf", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"feed/poll_01.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 597, "completion_tokens": 271, "total_tokens": 868, "prompt_tokens_details": {"cached_tokens": 480}, "cache_read_input_tokens": 480}, "cost": {"usd": 0, "diem": 0.0001548}, "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": "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, "response": {"service_tier": "default", "id": "chatcmpl-RvyvO6SwNxFGVfWpCGQh5s07", "object": "chat.completion", "created": 1792017852, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Okay, I have a good understanding of the task.\n1. I need to create `notifier.py`.\n2. `notifier.py` should iterate through `feed/poll_00.json` to `feed/poll_05.json` in order.\n3. For each poll, it should check for matches where the status starts with \"final\".\n4. It should send the final result to the \"wc-friends\" group using `python3 signal_send.py wc-friends \"FINAL: <match> <score>\"`.\n5. It must ensure that each match's final result is sent only once.\n6. I need to maintain state to avoid duplicates. Since the task asks to run it once and then run it again to prove no duplicates, I should probably store the state in a file.\n\nLet's check the other poll files to see the data structure.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-8052fc77e37a116d", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"cat feed/poll_02.json feed/poll_03.json feed/poll_04.json feed/poll_05.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 734, "completion_tokens": 247, "total_tokens": 981, "prompt_tokens_details": {"cached_tokens": 576}, "cache_read_input_tokens": 576}, "cost": {"usd": 0, "diem": 0.00015972}, "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": "cat feed/poll_02.json feed/poll_03.json feed/poll_04.json feed/poll_05.json"}, "result": "exit=0\nstdout:\n[\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][\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][\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][\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]\nstderr:\n"}
{"turn": 5, "response": {"service_tier": "default", "id": "chatcmpl-Rul7KI1MbR4L1fJmHXGJgsgl", "object": "chat.completion", "created": 1792017869, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Okay, I have the data.\n- `poll_00.json`: ARG vs FRA (in_progress), BRA vs ENG (scheduled)\n- `poll_01.json`: ARG vs FRA (final, 2-1), BRA vs ENG (in_progress), ESP vs GER (scheduled)\n- `poll_02.json`: ARG vs FRA (final, 2-1), BRA vs ENG (in_progress), ESP vs GER (in_progress)\n- `poll_03.json`: ARG vs FRA (final, 2-1), BRA vs ENG (final, 2-1), ESP vs GER (in_progress)\n- `poll_04.json`: ARG vs FRA (final, 2-1), BRA vs ENG (final, 2-1), ESP vs GER (final_pens, 1-1 (4-3 pens))\n- `poll_05.json`: ARG vs FRA (final, 2-1), BRA vs ENG (final, 2-1), ESP vs GER (final_pens, 1-1 (4-3 pens))\n\nI need to write `notifier.py` that:\n1. Iterates through `poll_00.json` to `poll_05.json`.\n2. For each poll, checks for matches where `status` starts with \"final\".\n3. Sends a notification if the match hasn't been sent before.\n4. Uses `python3 signal_send.py wc-friends \"FINAL: <match> <score>\"`.\n5. Maintains state to avoid duplicates.\n\nSince the requirement is to \"Run it once over all polls, then run it again to prove no duplicates are sent\", the state must be persisted between runs (e.g., in a file).\n\nPlan:\n1. Create `notifier.py`.\n2. Use a file (e.g., `sent_matches.txt`) to keep track of matches that have already been notified.\n3. Implement the logic to process the polls.\n4. Run it once.\n5. Run it again.\n\nLet's write `notifier.py`.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-a1a0f137ca7ef1ea", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\": \"import json\\nimport os\\nimport subprocess\\nimport glob\\n\\nSTATE_FILE = \\\"sent_matches.txt\\\"\\nPOLLS_DIR = \\\"feed\\\"\\nGROUP = \\\"wc-friends\\\"\\n\\ndef load_sent_matches():\\n if os.path.exists(STATE_FILE):\\n with open(STATE_FILE, \\\"r\\\") as f:\\n return set(line.strip() for line in f)\\n return set()\\n\\ndef save_sent_matches(sent_matches):\\n with open(STATE_FILE, \\\"w\\\") as f:\\n for match in sent_matches:\\n f.write(f\\\"{match}\\\\n\\\")\\n\\ndef send_notification(match, score):\\n text = f\\\"FINAL: {match} {score}\\\"\\n subprocess.run([\\\"python3\\\", \\\"signal_send.py\\\", GROUP, text])\\n\\ndef main():\\n sent_matches = load_sent_matches()\\n \\n # Get poll files sorted by name\\n polls = sorted(glob.glob(os.path.join(POLLS_DIR, \\\"poll_*.json\\\")))\\n \\n for poll_file in polls:\\n with open(poll_file, \\\"r\\\") as f:\\n data = json.load(f)\\n \\n for entry in data:\\n match = entry[\\\"match\\\"]\\n status = entry[\\\"status\\\"]\\n score = entry[\\\"score\\\"]\\n \\n if status.startswith(\\\"final\\\") and match not in sent_matches:\\n send_notification(match, score)\\n sent_matches.add(match)\\n # Save state immediately or at the end? \\n # The prompt says \\\"Run it once... then run it again\\\", \\n # so we must persist state.\\n save_sent_matches(sent_matches)\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\", \"path\": \"notifier.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1241, "completion_tokens": 903, "total_tokens": 2144, "prompt_tokens_details": {"cached_tokens": 704}, "cache_read_input_tokens": 704}, "cost": {"usd": 0, "diem": 0.00045287999999999996}, "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": {"content": "import json\nimport os\nimport subprocess\nimport glob\n\nSTATE_FILE = \"sent_matches.txt\"\nPOLLS_DIR = \"feed\"\nGROUP = \"wc-friends\"\n\ndef load_sent_matches():\n if os.path.exists(STATE_FILE):\n with open(STATE_FILE, \"r\") as f:\n return set(line.strip() for line in f)\n return set()\n\ndef save_sent_matches(sent_matches):\n with open(STATE_FILE, \"w\") as f:\n for match in sent_matches:\n f.write(f\"{match}\\n\")\n\ndef send_notification(match, score):\n text = f\"FINAL: {match} {score}\"\n subprocess.run([\"python3\", \"signal_send.py\", GROUP, text])\n\ndef main():\n sent_matches = load_sent_matches()\n \n # Get poll files sorted by name\n polls = sorted(glob.glob(os.path.join(POLLS_DIR, \"poll_*.json\")))\n \n for poll_file in polls:\n with open(poll_file, \"r\") as f:\n data = json.load(f)\n \n for entry in data:\n match = entry[\"match\"]\n status = entry[\"status\"]\n score = entry[\"score\"]\n \n if status.startswith(\"final\") and match not in sent_matches:\n send_notification(match, score)\n sent_matches.add(match)\n # Save state immediately or at the end? \n # The prompt says \"Run it once... then run it again\", \n # so we must persist state.\n save_sent_matches(sent_matches)\n\nif __name__ == \"__main__\":\n main()\n", "path": "notifier.py"}, "result": "wrote 1425 chars"}
{"turn": 6, "response": {"service_tier": "default", "id": "chatcmpl-RlbmqYYKZpjjyoDXx8n6wiib", "object": "chat.completion", "created": 1792017874, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "Okay, I have written the `notifier.py` script. Now I need to run it twice to prove that it sends each final result exactly once.\n\nFirst run:\nIt should process `poll_00.json` to `poll_05.json`.\n- `poll_00`: ARG vs FRA (in_progress), BRA vs ENG (scheduled) -> Nothing sent.\n- `poll_01`: ARG vs FRA (final, 2-1) -> Sent. BRA vs ENG (in_progress), ESP vs GER (scheduled).\n- `poll_02`: ARG vs FRA (final), BRA vs ENG (in_progress), ESP vs GER (in_progress).\n- `poll_03`: ARG vs FRA (final), BRA vs ENG (final, 2-1) -> Sent. ESP vs GER (in_progress).\n- `poll_04`: ARG vs FRA (final), BRA vs ENG (final), ESP vs GER (final_pens, 1-1 (4-3 pens)) -> Sent.\n- `poll_05`: All final.\n\nSecond run:\nIt should load the state from `sent_matches.txt` and send nothing.\n\nLet's execute.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-8612e3934e48553e", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 notifier.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1695, "completion_tokens": 287, "total_tokens": 1982, "prompt_tokens_details": {"cached_tokens": 1216}, "cache_read_input_tokens": 1216}, "cost": {"usd": 0, "diem": 0.00027024}, "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": "python3 notifier.py"}, "result": "exit=0\nstdout:\nsent\nsent\nsent\n\nstderr:\n"}
{"turn": 7, "response": {"service_tier": "default", "id": "chatcmpl-RUlIA2b7t4BOnyUHzKLOMImW", "object": "chat.completion", "created": 1792017877, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "The first run sent 3 notifications. Now I need to run it again to prove no duplicates are sent.\nWait, I should check if `signal_send.py` actually prints something. I didn't read it, but the output `sent` suggests it does.\nLet's run it again.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-addc0a3263b67188", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 notifier.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1742, "completion_tokens": 88, "total_tokens": 1830, "prompt_tokens_details": {"cached_tokens": 1664}, "cache_read_input_tokens": 1664}, "cost": {"usd": 0, "diem": 0.0001908}, "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 notifier.py"}, "result": "exit=0\nstdout:\n\nstderr:\n"}
{"turn": 8, "response": {"service_tier": "default", "id": "chatcmpl-RewrRQzS5bEHQSuInLJ8bSeg", "object": "chat.completion", "created": 1792017879, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": "The first run produced 3 \"sent\" messages (ARG vs FRA, BRA vs ENG, ESP vs GER).\nThe second run produced no output, meaning no duplicates were sent.\nThe state was persisted in `sent_matches.txt`.\n\nI should verify the content of `sent_matches.txt` just to be sure.", "name": null, "tool_calls": [{"id": "chatcmpl-tool-ad48e8ef518846da", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"sent_matches.txt\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1783, "completion_tokens": 92, "total_tokens": 1875, "prompt_tokens_details": {"cached_tokens": 1728}, "cache_read_input_tokens": 1728}, "cost": {"usd": 0, "diem": 0.00019524}, "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": "read_file", "args": {"path": "sent_matches.txt"}, "result": "ESP vs GER\nARG vs FRA\nBRA vs ENG\n"}
{"turn": 9, "response": {"service_tier": "default", "id": "chatcmpl-RgsvhtbM42QirKyFLqfcnJOn", "object": "chat.completion", "created": 1792017891, "model": "google-gemma-4-31b-it", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I have created `notifier.py` which processes the mock ESPN scoreboard snapshots in order. The script tracks sent matches in a state file (`sent_matches.txt`) to ensure that each match's final result is sent exactly once to the \"wc-friends\" Signal group.\n\n1. **State Management**: The script reads and writes to `sent_matches.txt` to persist the list of matches that have already been notified.\n2. **Processing**: It iterates through `feed/poll_00.json` to `feed/poll_05.json` in alphanumeric order.\n3. **Condition**: A notification is triggered only if the match status starts with `\"final\"` and the match has not been recorded in the state file.\n4. **Execution**:\n * **First Run**: Processed all polls and sent 3 notifications (ARG vs FRA, BRA vs ENG, ESP vs GER).\n * **Second Run**: Processed all polls again and sent 0 notifications, confirming that duplicates are not sent.\n\n```python\n# Summary of notifier.py logic:\n# 1. Load sent_matches from sent_matches.txt\n# 2. For each poll_*.json in sorted order:\n# For each match in poll:\n# If status.startswith(\"final\") and match not in sent_matches:\n# subprocess.run([\"python3\", \"signal_send.py\", \"wc-friends\", f\"FINAL: {match} {score}\"])\n# Add match to sent_matches and save to file.\n```", "reasoning_content": "The user wants to ensure that the notifier processes the polls in order and sends each final result exactly once.\nI have implemented `notifier.py` which:\n1. Loads state from `sent_matches.txt`.\n2. Iterates through `feed/poll_*.json` in sorted order.\n3. Checks if a match's status starts with \"final\".\n4. Sends the notification if the match hasn't been sent before.\n5. Updates and saves the state.\n\nI ran it once and it sent 3 notifications (ARG vs FRA, BRA vs ENG, ESP vs GER).\nI ran it a second time and it sent 0 notifications.\nThis proves that it keeps state and doesn't send duplicates.\n\nI should double check if I missed anything.\n- \"processes the polls in order (simulating each poll)\": I used `sorted(glob.glob(...))`.\n- \"sends every match's final result exactly once\": Done.\n- \"Signal group 'wc-friends'\": Done.\n- \"python3 signal_send.py wc-friends '<text>'\": Done.\n- \"text format: 'FINAL: <match> <score>'\": Done.\n- \"A match counts as final when status starts with 'final'\": Done.\n- \"Keep state so repeated polls never resend\": Done.\n- \"Run it once over all polls, then run it again to prove no duplicates are sent\": Done.\n\nWait, I should check if the output of `signal_send.py` is actually \"sent\" or something else. The `run_shell` output showed \"sent\" three times, which means `signal_send.py` probably prints \"sent\" when it's called.\n\nI'll just do a final check of the code to make sure it's clean.\n\nOne detail: `save_sent_matches` is called inside the loop. That's fine.\n\nI'll provide the final summary.", "name": null, "tool_calls": null}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1826, "completion_tokens": 767, "total_tokens": 2593, "prompt_tokens_details": {"cached_tokens": 1760}, "cache_read_input_tokens": 1760}, "cost": {"usd": 0, "diem": 0.00044244}, "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}}}