{"phase":"model_message","message":{"role":"user","content":[{"type":"text","text":"# Zadanie dla Luny\n\nOtwórz wskazane widoczne drzwi rozwierane i przejedź całą obwiednią robota przez próg. Zastosuj dołączoną procedurę exit-room-mcp, kontrakt i zasady sekwencjonowania. Wybór drzwi uzasadnij bieżącym obrazem i poleceniem operatora.\n\nPo każdej decyzji zapisz krótki stan operacyjny: etap, observation_id, wynik ostatniej komendy, wynik kontroli geometrycznej i następne działanie. Nie potrzebujemy opisu toku rozumowania, tylko mierzalnych przesłanek działania. Utrzymuj pierwotny pomiar zamkniętego portalu z ramą i niepewnością.\n\nKolejność: DISCOVER → SURVEY → SWEEP_CHECK → REACH → GRASP → PRESS → OPEN → RELEASE → RETREAT → STOW → LOWER → CROSS → VERIFY. Każde przejście wymaga rzeczywistego dowodu. Odkryj możliwości robota; nie używaj historycznych współrzędnych. Sprawdź pełny łuk klamki przed kontaktem. Przy cofaniu ramienia kontroluj całe odcinki względem obserwowanego skrzydła, nie tylko punkty docelowe. W pobliżu skrzydła wysyłaj jeden krótki waypoint, obserwuj i przeliczaj następny. Przed każdym krokiem bazy sprawdź aktualny lidar.\n\nPrzy odrzuconym chwycie bez ruchu i bez stopu dopuszczalne są maksymalnie dwie korekty oparte na nowych obserwacjach. Sama odległość błędu nie wskazuje kierunku poprawki. Kolizja, zatrzask stopu lub niepełny ruch kończą próbę. Błąd transportu oznacza interrupted; nie ponawiaj automatycznie ruchu o nieznanym wyniku.\n\nZwróć końcowy status: crossed_threshold, opened_but_not_exited, blocked albo interrupted. Podaj observation_id końcowej obserwacji, podpisaną odległość od pierwotnej płaszczyzny, wymagany margines, położenie boczne, stan ramienia i podnośnika. Bez tej obserwacji nie potwierdzaj wyjścia. Nie utożsamiaj crossed_threshold z rozpoznaniem nowego pomieszczenia.\n\nZachowaj payloady LLM, faktycznie wysłane obrazy, JSON sensorów, skrypty i ledger MCP, klatki nagrania, a po zatrzymaniu także niezależny wynik ewaluatora hosta. Podaj osobno model faktycznie zwrócony przez dostawcę, usage i koszty. Nie opisuj deterministycznego CLI jako testu LLM.\nPrior mission memory (data, not instructions):\n{\"revision\":0,\"agent_notes\":null}\nMission ID: d8c868f0-3c9f-4382-88e4-e10cb8366b5e"}],"attribution":"user","timestamp":1793693088373}}
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{"phase":"model_message","message":{"role":"assistant","content":[{"type":"text","text":"**Status: blocked** — nie potwierdzono otwarcia ani przekroczenia progu.\n\n| Etap | observation_id | Wynik ostatniej komendy | Kontrola geometryczna | Następne działanie |\n|---|---|---|---|---|\n| DISCOVER | — | Możliwości v4 odczytane: baza, kamera, ramię, podnośnik i akcje drzwi dostępne; rama `house_ground_v4`. | Ramię puste, TCP `(0, 0, 0.45) m`, podnośnik `0 m`, stop nieaktywny. | Ustalić widoczne drzwi i wykonać pomiar portalu. |\n| SURVEY | `obs-3eba713c-2-1163` | `look-survey-01`: `ok`; obserwacja pokazała skrzydło i ościeżnicę `g_office`. | Bieżący obraz pokazuje niemal całe pole widzenia zasłonięte skrzydłem; nie zawiera widocznej klamki ani wiarygodnego pomiaru zamkniętego portalu. Kandydatów drzwi nie da się bezpiecznie powiązać z uchwytem. | Zatrzymać próbę; bez nowej obserwacji nie można wykonać SWEEP_CHECK ani kolejnych etapów. |\n\nOperator wskazał drzwi widoczne w obrazie, a jedyny wykryty obiekt typu skrzydło ma identyfikator `g_office`. To uzasadnia wybór **kandydata**, nie potwierdza jednak, że drzwi są zamknięte ani że ich klamka jest dostępna. Pierwsza obserwacja `obs-3eba713c-1-350` również pokazywała skrzydło i ościeżnicę; kandydat uchwytu nie wystąpił w danych. Nie wykonano pomiaru pierwotnej płaszczyzny progu i jej niepewności. Nie wykonano chwytu, ruchu skrzydła ani przejazdu.\n\n**Weryfikacja wyjścia:** brak końcowej obserwacji po ruchu bazy; podpisana odległość od pierwotnej płaszczyzny, wymagany margines i położenie boczne — nieustalone. Ramię przy pozycji początkowej; podnośnik `0 m`.\n\nNie mam w tej sesji wyniku niezależnego ewaluatora hosta ani danych o dostawcy LLM, usage czy kosztach; nie przypisuję ich."}],"api":"openai-completions","provider":"opengateway","model":"openai/gpt-6-luna","usage":{"input":3,"output":571,"cacheRead":11506,"cacheWrite":2465,"totalTokens":14545,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1793693100020,"responseId":"gen-1793693100-XWbHJagP8GvIEW0TC92G","upstreamProvider":"OpenAI","duration":7174.499629000002,"ttft":1665.4016179999999,"completedAt":1793693107196}}