c79abcceada01ec17e99898e60b710f0ce0885bd0eedc407bdf1c5bdcbf7282d

{"mode":"local_challenge_fallback","cliError":"CLI subprocess failed (exit 1) [codex exec --skip-git-repo-check --ephemeral --output-last-message C:\\Users\\ellob\\AppData\\Local\\Temp\\ombra-codex-ygdj8d\\response.txt --color never --sandbox read-only]: stderr: Reading prompt from stdin...\nOpenAI Codex v0.141.0\n--------\nworkdir: C:\\Program Files\\Ombra Wallet\nmodel: gpt-5.5\nprovider: openai\napproval: never\nsandbox: read-only\nreasoning effort: xhigh\nreasoning summaries: none\nsession id: 019edf65-ceb4-7982-9c73-22552fc9be52\n--------\nuser\nEști un judecător AI imparțial care evaluează calitatea răspunsurilor la un prompt.\n\nVei primi:\n- prompt-ul original al utilizatorului\n- o listă de răspunsuri anonimizate (identificate ca R1, R2, etc.)\n\nEvaluează fiecare răspuns pe o scală de la 0 la 100 pe baza:\n- Acuratețe și corectitudine (40%)\n- Claritate și structură (30%)\n- Completitudine (20%)\n- Stil și calitate lingvistică (10%)\n\nReturnează STRICT un JSON cu structura:\n{\n  \"scores\": [\n    { \"responseId\": \"R1\", \"score\": 85, \"reasoning\": \"motiv scurt\" },\n    ...\n  ],\n  \"bestResponseId\": \"R2\"\n}\n\nNu include niciun text în afara JSON-ului.\n\nPrompt original: \"Why is latency important for AI inference?\"\n\nRăspunsuri de evaluat:\n## R1\nLatency is crucial for AI inference because it determines how quickly a model can process and respond to inputs. In real-time applications like autonomous driving, healthcare diagnostics, or customer service chatbots, delays can lead to poor user experiences or safety risks. For example, a self-driving car must make split-second decisions, and even a few seconds of latency could cause accidents. Similarly, in financ...[truncated]","promptHashHint":"33b1d96e","scores":[{"responseId":"R1","score":87,"reasoning":"fallback local: continut textual; structurat"}],"bestResponseId":"R1"}