Qwen3 Coder 480B Turbo (Venice) on Text World Cup final scores to a Signal group

{"turn": 1, "response": {"service_tier": "default", "id": "chatcmpl-R7ihACRMDpPKg1jMTOJ0tuEY", "object": "chat.completion", "created": 1792023149, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I'll create a notifier script that processes the poll files and sends final match results to the Signal group. Let me first check what poll files exist.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_f04e4493cd389a9a", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\": \"feed\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 648, "completion_tokens": 51, "total_tokens": 699, "prompt_tokens_details": {"cached_tokens": 480}, "cache_read_input_tokens": 480}, "cost": {"usd": 0, "diem": 0.00015450000000000001}, "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": "feed"}, "result": "feed/poll_00.json\nfeed/poll_01.json\nfeed/poll_02.json\nfeed/poll_03.json\nfeed/poll_04.json\nfeed/poll_05.json"}
{"turn": 2, "response": {"service_tier": "default", "id": "chatcmpl-RDb0g4qK5gZPFrTQyu8F6oZU", "object": "chat.completion", "created": 1792023151, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Now let me examine the structure of these JSON files to understand how the data is organized.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_d235e83dd5df4a6d", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"feed/poll_00.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 760, "completion_tokens": 45, "total_tokens": 805, "prompt_tokens_details": {"cached_tokens": 672}, "cache_read_input_tokens": 672}, "cost": {"usd": 0, "diem": 0.00012518000000000002}, "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-RqDbq0py7d94vi3zwXfydcwW", "object": "chat.completion", "created": 1792023152, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Let me check another poll file to see how the data changes over time.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_6836e2cccb8ea7ae", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"feed/poll_05.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 878, "completion_tokens": 42, "total_tokens": 920, "prompt_tokens_details": {"cached_tokens": 784}, "cache_read_input_tokens": 784}, "cost": {"usd": 0, "diem": 0.00012726}, "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_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": 4, "response": {"service_tier": "default", "id": "chatcmpl-RnnL8LuB55yFAG0bbR1SkKK1", "object": "chat.completion", "created": 1792023153, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Now I understand the data structure. I'll create a notifier script that:\n1. Processes polls in order\n2. Identifies matches that have reached \"final\" status (including \"final_pens\")\n3. Sends notifications for final results exactly once\n4. Maintains state to avoid duplicate notifications\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_e3bbb72eac8e246c", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\": \"notifier.py\", \"content\": \"#!/usr/bin/env python3\\n\\nimport json\\nimport subprocess\\nimport os\\nfrom pathlib import Path\\n\\nSTATE_FILE = \\\"notified_matches.json\\\"\\n\\ndef load_state():\\n    \\\"\\\"\\\"Load previously notified matches from state file\\\"\\\"\\\"\\n    if os.path.exists(STATE_FILE):\\n        with open(STATE_FILE, 'r') as f:\\n            return set(json.load(f))\\n    return set()\\n\\ndef save_state(notified_matches):\\n    \\\"\\\"\\\"Save notified matches to state file\\\"\\\"\\\"\\n    with open(STATE_FILE, 'w') as f:\\n        json.dump(list(notified_matches), f)\\n\\ndef send_notification(match, score):\\n    \\\"\\\"\\\"Send notification via signal_send.py\\\"\\\"\\\"\\n    message = f\\\"FINAL: {match} {score}\\\"\\n    print(f\\\"Sending: {message}\\\")\\n    try:\\n        subprocess.run([\\\"python3\\\", \\\"signal_send.py\\\", \\\"wc-friends\\\", message], \\n                       check=True, capture_output=True)\\n    except subprocess.CalledProcessError as e:\\n        print(f\\\"Failed to send message: {e}\\\")\\n\\ndef process_polls():\\n    \\\"\\\"\\\"Process all poll files in order\\\"\\\"\\\"\\n    # Load previously notified matches\\n    notified_matches = load_state()\\n    \\n    # Get all poll files in order\\n    poll_dir = Path(\\\"feed\\\")\\n    poll_files = sorted(poll_dir.glob(\\\"poll_*.json\\\"))\\n    \\n    print(f\\\"Processing {len(poll_files)} poll files...\\\")\\n    print(f\\\"Already notified matches: {notified_matches}\\\")\\n    \\n    # Process each poll file\\n    for poll_file in poll_files:\\n        print(f\\\"\\\\nProcessing {poll_file.name}...\\\")\\n        \\n        with open(poll_file, 'r') as f:\\n            matches = json.load(f)\\n            \\n        # Check each match in this poll\\n        for match_data in matches:\\n            match_name = match_data[\\\"match\\\"]\\n            status = match_data[\\\"status\\\"]\\n            score = match_data[\\\"score\\\"]\\n            \\n            # Check if match is final (starts with \\\"final\\\")\\n            if status.startswith(\\\"final\\\") and score is not None:\\n                # Check if we've already notified about this match\\n                if match_name not in notified_matches:\\n                    print(f\\\"  Notifying about final result: {match_name} {score}\\\")\\n                    send_notification(match_name, score)\\n                    notified_matches.add(match_name)\\n                else:\\n                    print(f\\\"  Already notified about: {match_name}\\\")\\n    \\n    # Save updated state\\n    save_state(notified_matches)\\n    print(f\\\"\\\\nFinished processing. Total notified matches: {len(notified_matches)}\\\")\\n\\nif __name__ == \\\"__main__\\\":\\n    process_polls()\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1031, "completion_tokens": 623, "total_tokens": 1654, "prompt_tokens_details": {"cached_tokens": 896}, "cache_read_input_tokens": 896}, "cost": {"usd": 0, "diem": 0.00101759}, "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": "notifier.py", "content": "#!/usr/bin/env python3\n\nimport json\nimport subprocess\nimport os\nfrom pathlib import Path\n\nSTATE_FILE = \"notified_matches.json\"\n\ndef load_state():\n    \"\"\"Load previously notified matches from state file\"\"\"\n    if os.path.exists(STATE_FILE):\n        with open(STATE_FILE, 'r') as f:\n            return set(json.load(f))\n    return set()\n\ndef save_state(notified_matches):\n    \"\"\"Save notified matches to state file\"\"\"\n    with open(STATE_FILE, 'w') as f:\n        json.dump(list(notified_matches), f)\n\ndef send_notification(match, score):\n    \"\"\"Send notification via signal_send.py\"\"\"\n    message = f\"FINAL: {match} {score}\"\n    print(f\"Sending: {message}\")\n    try:\n        subprocess.run([\"python3\", \"signal_send.py\", \"wc-friends\", message], \n                       check=True, capture_output=True)\n    except subprocess.CalledProcessError as e:\n        print(f\"Failed to send message: {e}\")\n\ndef process_polls():\n    \"\"\"Process all poll files in order\"\"\"\n    # Load previously notified matches\n    notified_matches = load_state()\n    \n    # Get all poll files in order\n    poll_dir = Path(\"feed\")\n    poll_files = sorted(poll_dir.glob(\"poll_*.json\"))\n    \n    print(f\"Processing {len(poll_files)} poll files...\")\n    print(f\"Already notified matches: {notified_matches}\")\n    \n    # Process each poll file\n    for poll_file in poll_files:\n        print(f\"\\nProcessing {poll_file.name}...\")\n        \n        with open(poll_file, 'r') as f:\n            matches = json.load(f)\n            \n        # Check each match in this poll\n        for match_data in matches:\n            match_name = match_data[\"match\"]\n            status = match_data[\"status\"]\n            score = match_data[\"score\"]\n            \n            # Check if match is final (starts with \"final\")\n            if status.startswith(\"final\") and score is not None:\n                # Check if we've already notified about this match\n                if match_name not in notified_matches:\n                    print(f\"  Notifying about final result: {match_name} {score}\")\n                    send_notification(match_name, score)\n                    notified_matches.add(match_name)\n                else:\n                    print(f\"  Already notified about: {match_name}\")\n    \n    # Save updated state\n    save_state(notified_matches)\n    print(f\"\\nFinished processing. Total notified matches: {len(notified_matches)}\")\n\nif __name__ == \"__main__\":\n    process_polls()"}, "result": "wrote 2429 chars"}
{"turn": 5, "response": {"service_tier": "default", "id": "chatcmpl-Ra615UzYshRWv4K64jf5d2wD", "object": "chat.completion", "created": 1792023157, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Now let me make the script executable and run it to see if it works correctly.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_e3b155623a1d474c", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"chmod +x notifier.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1676, "completion_tokens": 44, "total_tokens": 1720, "prompt_tokens_details": {"cached_tokens": 1632}, "cache_read_input_tokens": 1632}, "cost": {"usd": 0, "diem": 0.00014668}, "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": "chmod +x notifier.py"}, "result": "exit=0\nstdout:\n\nstderr:\n"}
{"turn": 6, "response": {"service_tier": "default", "id": "chatcmpl-RXH6jNyaN1BOly9ZuJe20RlH", "object": "chat.completion", "created": 1792023158, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Let me also check if there's a signal_send.py script that we need to create for testing:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_c20b94d454cfea31", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"ls -la signal_send.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1741, "completion_tokens": 48, "total_tokens": 1789, "prompt_tokens_details": {"cached_tokens": 1696}, "cache_read_input_tokens": 1696}, "cost": {"usd": 0, "diem": 0.00015559}, "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": "ls -la signal_send.py"}, "result": "exit=0\nstdout:\n-rw-r--r-- 1 box box 126 Oct 14 13:52 signal_send.py\n\nstderr:\n"}
{"turn": 7, "response": {"service_tier": "default", "id": "chatcmpl-RqZOUlIy0ZjwkyjNy7SUcQ71", "object": "chat.completion", "created": 1792023159, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Let me check what's in the signal_send.py file to understand how it works:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_359c5fc203ac4097", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"signal_send.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1838, "completion_tokens": 40, "total_tokens": 1878, "prompt_tokens_details": {"cached_tokens": 1760}, "cache_read_input_tokens": 1760}, "cost": {"usd": 0, "diem": 0.0001577}, "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": "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": 8, "response": {"service_tier": "default", "id": "chatcmpl-R3o7GkQhCp9BYwKeFQDKcH7E", "object": "chat.completion", "created": 1792023159, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Perfect! Now I understand how the system works. The signal_send.py writes messages to outbox.jsonl. Let me run the notifier.py script to process the polls:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_51f9212cfe19fe2e", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 notifier.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1931, "completion_tokens": 60, "total_tokens": 1991, "prompt_tokens_details": {"cached_tokens": 1856}, "cache_read_input_tokens": 1856}, "cost": {"usd": 0, "diem": 0.00019049}, "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 notifier.py"}, "result": "exit=0\nstdout:\nProcessing 6 poll files...\nAlready notified matches: set()\n\nProcessing poll_00.json...\n\nProcessing poll_01.json...\n  Notifying about final result: ARG vs FRA 2-1\nSending: FINAL: ARG vs FRA 2-1\n\nProcessing poll_02.json...\n  Already notified about: ARG vs FRA\n\nProcessing poll_03.json...\n  Already notified about: ARG vs FRA\n  Notifying about final result: BRA vs ENG 2-1\nSending: FINAL: BRA vs ENG 2-1\n\nProcessing poll_04.json...\n  Already notified about: ARG vs FRA\n  Already notified about: BRA vs ENG\n  Notifying about final result: ESP vs GER 1-1 (4-3 pens)\nSending: FINAL: ESP vs GER 1-1 (4-3 pens)\n\nProcessing poll_05.json...\n  Already notified about: ARG vs FRA\n  Already notified about: BRA vs ENG\n  Already notified about: ESP vs GER\n\nFinished processing. Total notified matches: 3\n\nstderr:\n"}
{"turn": 9, "response": {"service_tier": "default", "id": "chatcmpl-RbJLoiH8GJNWQ2PoNAzRaila", "object": "chat.completion", "created": 1792023160, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Great! The script ran successfully and sent notifications for 3 final matches. Let me check the outbox to confirm the messages were recorded:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_1c08565a4c21a2bc", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"outbox.jsonl\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2236, "completion_tokens": 52, "total_tokens": 2288, "prompt_tokens_details": {"cached_tokens": 1968}, "cache_read_input_tokens": 1968}, "cost": {"usd": 0, "diem": 0.00025052}, "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": "read_file", "args": {"path": "outbox.jsonl"}, "result": "{\"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"}
{"turn": 10, "response": {"service_tier": "default", "id": "chatcmpl-RulnCb33ppAzwvlkeWTfQQI4", "object": "chat.completion", "created": 1792023161, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Perfect! Now let me run the script again to verify that it doesn't send duplicate notifications:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_c59824ac0e388d13", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 notifier.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2374, "completion_tokens": 45, "total_tokens": 2419, "prompt_tokens_details": {"cached_tokens": 2256}, "cache_read_input_tokens": 2256}, "cost": {"usd": 0, "diem": 0.00019904}, "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": "run_shell", "args": {"command": "python3 notifier.py"}, "result": "exit=0\nstdout:\nProcessing 6 poll files...\nAlready notified matches: {'BRA vs ENG', 'ESP vs GER', 'ARG vs FRA'}\n\nProcessing poll_00.json...\n\nProcessing poll_01.json...\n  Already notified about: ARG vs FRA\n\nProcessing poll_02.json...\n  Already notified about: ARG vs FRA\n\nProcessing poll_03.json...\n  Already notified about: ARG vs FRA\n  Already notified about: BRA vs ENG\n\nProcessing poll_04.json...\n  Already notified about: ARG vs FRA\n  Already notified about: BRA vs ENG\n  Already notified about: ESP vs GER\n\nProcessing poll_05.json...\n  Already notified about: ARG vs FRA\n  Already notified about: BRA vs ENG\n  Already notified about: ESP vs GER\n\nFinished processing. Total notified matches: 3\n\nstderr:\n"}
{"turn": 11, "response": {"service_tier": "default", "id": "chatcmpl-R5mFJc0aUPenwo9iRxwcDX8Q", "object": "chat.completion", "created": 1792023162, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Excellent! The second run confirmed that no duplicate notifications were sent. The script correctly maintained state and only sent each final result once.\n\nLet me also check that the state file was created properly:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_e7c55bab7b144e60", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"notified_matches.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2614, "completion_tokens": 62, "total_tokens": 2676, "prompt_tokens_details": {"cached_tokens": 2400}, "cache_read_input_tokens": 2400}, "cost": {"usd": 0, "diem": 0.0002639}, "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": "read_file", "args": {"path": "notified_matches.json"}, "result": "[\"BRA vs ENG\", \"ESP vs GER\", \"ARG vs FRA\"]"}
{"turn": 12, "response": {"service_tier": "default", "id": "chatcmpl-RdV8CRpRJLaLID4De7Z93fFH", "object": "chat.completion", "created": 1792023163, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Perfect! The implementation is working correctly. Here's what the notifier.py script does:\n\n1. Processes poll files (poll_00.json through poll_05.json) in chronological order\n2. Identifies matches that have reached final status (status starting with \"final\")\n3. Sends notifications for final results exactly once to the Signal group \"wc-friends\"\n4. Maintains state in notified_matches.json to prevent duplicate notifications\n5. When run multiple times, it correctly identifies already notified matches and skips them\n\nThe script successfully processed all polls and sent notifications for:\n- ARG vs FRA (2-1)\n- BRA vs ENG (2-1) \n- ESP vs GER (1-1 (4-3 pens))\n\nAnd when run again, it correctly avoided sending any duplicates.", "reasoning_content": null, "name": null, "tool_calls": []}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 2706, "completion_tokens": 163, "total_tokens": 2869, "prompt_tokens_details": {"cached_tokens": 2656}, "cache_read_input_tokens": 2656}, "cost": {"usd": 0, "diem": 0.00036824}, "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}}}