{"id":"gen-1784489564-wFDnzMPycutLhZyXQh0q","object":"chat.completion","created":1784489564,"model":"anthropic/claude-sonnet-5","provider":"Amazon Bedrock","system_fingerprint":null,"service_tier":"default","choices":[{"index":0,"logprobs":null,"finish_reason":"stop","native_finish_reason":"end_turn","message":{"role":"assistant","content":"{\"winner\": \"B\", \"ratio\": \"60:40\", \"explanation\": \"Side B is a large but coherent, directly-relevant refactor (RPC batch API, room/capability model, CLI and test updates) that touches only code the project actually ships and runs. Side A's real value—streaming event-log replay and offloading Reddit JSON out of GlobalTree—is genuine but small, and it's buried under a massive vendored 'durable' crate (docs, examples, benchmarks, nested-collection abstractions, duplicate Cargo.lock) that adds heavy build dependencies (rocksdb/bindgen/clang) and speculative generality far beyond what storing a JSON blob requires, which reads as generated noise rather than necessary code.\"}","refusal":null,"reasoning":null,"reasoning_details":[{"type":"reasoning.text","signature":"EuFCCokBCA8YAipA8/Wc5COAYuMt2KJxZFe5HkKpQp1h/rJn9e2MQFMbszDDyueBcN19Tb+Vd2WbxSn3Z/WqJ4Cv7ZyQtANFbIqDCjIPY2xhdWRlLXNvbm5ldC01OABCCHRoaW5raW5nWiQ0YzBmMDQ2Zi0yNWZkLTQ1ZmItYmZiMy1hMDhhOGUyNDljYTcSDEQnrkOfunJNnMJlrRoMvuLJ5bFJPMOvBklCIjAesfU7prRgmQU+S+5pQfMOUDu66SPVoaFLjmdBm0zyXnnDGlzEhtvvxeqmmaNaBx4qhEGmi8r5Sdz0snthLa+EcRpsCTLi1z+R4OfnkYBks1cum7UwNOJHLlgn58c+rGkqZ8xI1xQBc3va3cGTz2F2s9RvkQm4r/Aohw4LEl8yhWt/FGreFDYfuNKzQm8JQ2L655BlBmM3ev96QXbI6mcgRo0hNZhRB897I48jzMGuhLd//uok/IhKr00i9VZHUv5ISuS4EUMqAvqFoJN7LsThExluKmWBnq/qlWKUeEGVPqcek67ROd9OgdyhYD/8hqu34KIMk1vc+TU41e/rI+Xiu5d7jOxQrWKMwFi5wodOcsqA+eplrWnHgPGl1KN28ye6Cgy9fgN6Jpo0HiCiufqTBdnh3hhPMXUGwqiEvIzK0/6bjfi9ufbvL4IgVN7vTZdKHsM+hFyGo1vZp78UbeZ4yQbcaJlmuIb8M3SGuusyU+OeocoZ2yGCSLIo9TZTte57q1oLyS2KgBHf0aWOquI4mPE6cOZX3e0mJsTRwrXo3D+03cjLrG3eIbthJOrYs3WmOeTEkKOrpK0WqI+VwP51mPpl0ccoSITRS114LdAs+h9mRi0swT4GhX7g0SRX0rcMMp9UB/N7fQwtAy9w5J79ybzTkR3Pw7W8kUeKPUWrus/nZ+jZGXKlb+JweVECIT+0nDL4d199/fTHXZe3iSB3oFTTSkLZwHLyVUwlB092gg0UeR8qQVRIqmzDcsvI5q5TGXFOSyb98JXFnHDXVjGZxLGfmjaho9K0DQDgNkehFeO9BDyYgNI+G5YCixNlE6JudMfdhfUzN1C4+L4FLSlm6rfd3+UiUaZj3+qfsqiApDL1+1WRFLBHC5HepphRS8ZZaATvo1PJEP8gStH9P1+F8NoQ/ayte7mT/jMyPLPkeQFN9EN6ftlHJ6EwP0sGyUF3iuJvUqI76JuxeR2yA0D+c6FIT5q6GcuYSYGHv/k0B06NrrP0FykR/Eo8oYCM0BIC3GSAb4SGHEqouKOdYg13GFpxgfBYfnK59BVQHQyauFCjRV5xkfW1iBh5h6Xa8MAHWb9XlzKDnfMEU++w/VrtubDykKbO4/RrCD++89jFurs4FsM1/GkiEfZqlWutK11kajANn6c1eGwySFsBFopivS8sbDIK/GB1uWlzdassGLvVS8BSWCV++TFXfYxCr63h234LyP64D7fnvAotBu0dRF5uyf7s61mv3p0chEfkb7Mg0gcmUYSkjO8mpIkq3sLm7Y9afacckr3+oNY0EMv1HxNRHcvY5jtDHBZHf1bxQOV26GngzsLQOhW15j4+GCXp0SgdQSbIkPxkojL0FKqfvaSeDZ095joxC/8LPkfJIN5TfXEiITb0GApFS/rbf+WobQ0F06z9L6ZIQ0yAzAleapLo3N6ePGrEH77JDrOvBNBDZPUBdPt6FIJ263e64ms03PLc5XAs7BsZUl0Y2IAOADFcuyeYWyZTCf8+6eXqcitBWgVeF0s+rVHCLY2cqRRS9zHNaqOYk4bECuh/jFWlRIYcPZuJ9Y+UkEqaivECPpTMqNslh+uSIsiabaqloKrmuGa5r+IsF3vp1hY8tSz5DI4ns0hB2SbAycYo9FDfUb+IktgNLZ61kFkGXnpwqF7hoOJ268dUjFRSXkKxuPHCtR4no2Bak16uo1Dhq9RT+m3CioZheZz85fFmpi9XfIH9A+X7LbpQn1QoTO2nBi14n9jzsvajTY1iYPNLOpeJVmjKSkwSt6dSJo/RL7vrLWRE3oUimfBmZPPyTEKSoUbZ9A+oANQ0IoBR/09YkmaCI3MLLTwWaPL1pSy3Reo+7IuwMy73+wWHhUN3zogqg/bWinJIAikmWRM8d2UzkkkPSF7DlihL61p6z01rIEhu6ULOG6fjhA7KJ7pSzclCEDpVHBXmbLp6U0kxgO0GTSszLGeg0VpNUN8hEPzsuvicqVGYeTYf1EyruRzqTmR75Ty/0bEwG2q63ntrlWpbtbh5Z0715JXRv64gF29GwpsgXGeDG5M/OQLuTqMEZy4Ox83o8zSik+pTU5o0VGMJcwy83Q6I9o2NOwFMm8zDw99sIx8/nkTILtnZqk7JbtzlJAlqa7glPZ/kSxaIBBVL++zVRTHgVInVnygUGQDPAeDIsIYg/+g4lxrdvqWL9rF2R6DPFrIMkF7WjedAvpu/ebyjyho24iGuyrTBHp8VZw3LuK/rNYfwczYaFUnBtBq7FhwYezV7NvOIWWBGD72c6vMYPiVJ353F2KN1Bgt6HjSqrT/Zj2KyOKEl1N1/zHD1T8YJgkDQBA8y9TwbXwgiIVwn1TGGN7rkAocMfYzB+A9qcWtq0j+5XsT8foGLX9xPBIV/Ic9nMAjxS+umybXTzl0KQeSv0JPLd0xXJ3pZOn5vrSrlTnK1xHKarqWtEOqNvtCLdtIVfpQ8fTxCJ7rBgixgWA8idk/1gev4QYszTkBJoTIN2pfv1oRApQ2FR8p4Vyr7MX4/ln7zsf7nv+gt3h+RR6QKD9Qqn90SQ9NdyiEkblOHZGsBORxkJjQ7jP2sJjBhJblbl4lL2DcB0Ud8GtX0IhBp7kKuzz6gclPZzaSvhevrRiZkXueU6UPeVtu+QLqP1Bsreg10sivqcDr2ThaJjmEOoNEuYcduxFt1qZUv4cgM0CDhoYfFVLDHSTX8oYt+5vHsA7SopVudKxOw6S7WFEZYZS4J/U3Zy4RK+J5239P3QKx8c574qUaSetp1CsmmehZLorQszlzJXygfZ17vOimCKkki/gNCczWIMHF2lwdtA0grtvdyWU5KsdVuZU4qgb4w/4KaHCp9A6Uw58N2OPdzkbFitIPRQrgBM+uZIGYMggfBK9qq6V/SW4eXDFld2nI2XA/CG+xc97g+igt4LdlK/zkR+q9vW3BoB755TJLMSbBc+hcNfl2l9C/3wGXEupAQeGnkItNY4UNdoQ7vfW8izJz0G1IslBqDPp8Iv3Wol7Ej6IIu+Rsqk3AOci+XDOZ5VIScfIbOqKqRNoZSgkZ9ILjdxJoyT8i4V8zC6Jy5Tdjw4gP03yVZeUJ8MNUXl3avFiDmuVCegNMEuq2BHC4YDE7xw6IrSzwzMgb3jtlJqzzOVI1y3oOZdUr+qyPZp4DgXw87So7fwAW8nlUaAiMGs1/lTksPXUU/38N0jzPNoPdvY5T6QMLMmSoJ7dVWxm3ZaKMRtrj5U9qcuktoTV3E8107OyoQKjuzb9HQJpAPZ1NOJKpeVwCDcytA/nBzc1+EdEpDVnAswaWJPEkVsNoIoLcIqTDSy6Shl12SZHEG8LKQHVjVTMW3ddXTF6OeiKHhWan3ehWOFBzgXoaqHkY5zvm6QnmV2tKGeXYofuUaHrA2FgknPbeXO+XpqfUVBRxO3RQ81VQM1DPk6+b5Cm6+oNSOqBcLT1X2P/qXpddPTZev/lkgr6yxtZjq8FmJQ8nnG/pzAE7WIuMWft8DXZ4zyzUvi7d7Ca3SooiIVCCX6ArOz+yAFj3wG0sIlV/vuo5T12OPVD3QUHdd4fxIGzTBsFzOaiOgL5Z9p1+c2ll9GHoeErKYkjlYttOhVvle8T0pHXOpsRptYHi3jFOOcVH7E/HAjx0c33mrNZFHWEzO842vFY127Ka6J5JPsVQ4yD6tB/RCZl0NeeanZuS7NM+ZIhClZtld4/1l5o+thi3Trsj9CFbTHTUrVlewEt7w7sJvebnVV09wywxdgj/6m/Dftkt4i1gtqa1xS7y4igqBBmu9t1uf7NNS7LPKv1brnoEhS3LMvweuwZEHjrmqem50+XDuQiMsLqWva/ylWmhnVBA7cLEDitBuHdk89d4YLloP425xtfgX1rtCBB9CTvbV1H9hgIgkaduLXbG+v7vk/FIy9nb9LQnWF/GNlyqdkuSWG8t1p8dRTWCi9NysebVTuY8Y+AO8uJj7I6bM8IABpkoCg8Nx8e2+AdCDevg30y9axciK5YfsGgZj+k98DwM/jStG55MCJed0+SsVaR1LW5qFd4eOkT8ZNKJx3hDRwzE5yzbM21isG4jcVh0wqe/HeCCAOFnm7JLtKkjXRgOa8b50pZald7vPvPOV3rDG0nweH8YTOrV5/9f8MGaq5NYIPF/Rxg8kVzCnQ0qJZaY/sl9qUOIYki20vC9rDoCmUGxLkCaGpk0T8HD/9CS94McdCOZIRgSjwH3/d1A9CQj+e+puMXz1U2nG/j7+1SYIZamOhFeIdZCijXb5r/nBl4kwUqWrR1zmlaTUJq2mSMl4e0eRMv1kx//24l+5aVt1bxoOrkqR9ef8PzQ19Ed+7DfcQlfBHFFOYOw3K8GGdQHB5pV7rJvm70H8sReTWfTyCS9F0+kg4+jO4ISsY5kRWzoEcnyB3ZUHiFKL8JZ+W4cmOY6id/EMxvuJ48fgZosW7LWJZi/+iOsZqzP/H7nSMvuKC8oZ5IzsF3DHKqAprpzrmFDINZDzJTCbj2mDoyskyc4XYdLM31q/dxvnwzZZrzbRjupyGfVRH5OHh1N1xxHfT5JHrUwmk0kmdnu9NekSAxAzS9PjfiGqfC7pGRnZym5q9VdGa/bXgPoW2YzE7+gVgSzNOBDGPfHL1mD2AhNN4BgkCHknzLE7KfNbzH2yWjf53KpRDUaoJ1uRyt+LfqAUtaYRLqxGnM9NRFPAYaskL60HTHgiC3BP8fCvHMw6aCIHnnFkSXAce9cO2/fzebwnKvNPSC8e3T1p0quCbTB1JLJBPBqBr0sl8WXHs5SgYJc7SDflW/tUwWQF4x/w+PAiKZIq0wtehoSrouvGKKZ5g9Hzeb6sLLKlLdgtNehDakurH+a0Fl2Haxmj0irsEaYEGAiTJNbSd8hIW6z9LNKd9+I+C3hPclLkLjM7AKjmJtQIzfjF/a6qimRgJp8z12993ftp+nDEewLlakyJoacojh2YlpTE0q9gNilTghu4ESn1BQeSIYPt0i7Rn7Y1xeR2Kvh+Cxo9hWpYVRB5LqlML4wl3nzO6BTySyU1m1wiOMxLN7CNmJR//jf/1t1oTi/Px1hAad7/y+jHMviofqFEHyX2kKfO1q9HSWaVLQO7RqjtEoW7+bf82gnQkWzjrLtjRJQ8UDXlTgMWFwHXUEnFvkeWYn2CVOz7HakNUNZ8dM+5S4Bl8eemNKwDZV3/PwUwVkJiZvYq7Rn6rGHdkgc3vwHqf3x/YaOFtkewml8oBr7KA8r9mhx4Q2pGg5GmSdr9sbm9EmnK+IdCjnfcmV+2JHunAjXuGRC7+TOD/Oxr6nIIcT+Kt/fw1KUOJDf9GcRwcXsR9yo5BTOQscjKE8OCMvqLL+VfjRPafPRr1gb2++/QM5yXMwXRgwi9xe9EfJjn972VCr8LeiwJxuulx6U/rd4u3LwQ8K9IJbpL3amEpTImW4nKcCCv/sF491Zi9kX2wLFEAzwIIkfVYwi+noLVsgE3UiR4bffGr6PwHR2c2zgJdaFqy9ho4t0Y1omVuti5vPTLqsYCIqwvizn7nrBTo1wQtcasXhVTk4AfstSdnUOuCGqd+Wq3cF7DMZm3Qfv7JHSn/oTqenl7BWVRmLRtkczyrRPBmNrH1muVDJRHqh+R5/VFj9YemVvSSukCdKa9RYa62Ax6ObV44/3fCSOGJf258e5TMDwWzehrEeaS3VNTAaDeZ6kPvWQquBjSKZzSpziSFqg4dHUsFnjZnpyzFQUl1PS2iwgCjr/XMY8nRp0tDrro48P4l1omzdICybZuhXSRajvyTJQjOMe7NFzOQPoWi4m7NxQmNTXqJxPdkXe3ampDXJ8fwC9ltwon2QMl0OAn6utVHj3LG5jt50PhfyZr5aNR22CI0fj8JRwE+S1Nmq6lrAuIijAX77cy6wtoyUte5gQ8Ygh9Er34P/MRICdlWgzPMPE8CLgUlOqEuwVYpnU7m2oPkjyKHQ++aVu54pjWOk7os9RvfNgQ0VWDzEm6THuvHq3nwV07mR426Z38uMb+LX8NKaVV4eMRoicE8OurjT0cNTrpK9F5xuns9M+x/lCQTvkQ+4Nap4rivw6LYsfhWvHWYssq3sbodQHj+H1P10v6f5aNmMjfcQ4QM7tMjsYLiwrSEQ2xGf/CJHVGlZ2+I0ALX1uDurKYrpKxRwrbZQ+kP49aA4c8qlyo4MTvHicwNeo3Z99PxXqF0vmxh3Ab1tz8xaviMduPBbTuCW+q6ejk7sRHP/duvLC8qk+ANez8nwwoeqMGIXSE+7NsrB8X2/TktzDBW4Y7q8+RCQvXQT1ZZ7jcg6CAha2rr6Av7XZeYOC8Hts4gN2NhHqGLryGbvsgLByC64xD/l4kchXoQs/AT0kjK0VtYXD7fz5jF9ih/nci79KeEimHYKRTkH4/rH5UCXwncUUKYaCmMN2wS2V3EW9r0iDhiSZF/qtCxF8FFOBFAktL36o4B1uKG6svQox+cOeLd4Nl4XjlLNgXeIKqlWJ1/vD/Em2cJb3+0TqnXqWyA2MZcxOnDN6xTVzCP22IlQrQw60VY0fi8/qysORdhTEZew9vd0nEm+VjM6JD/b7td430NJ3qqNK3lOqCbFIPKK6u4yaowo0c3n1uWpb1cSoXZ7cj3pOsPacaeYSiVvMulMyw3Gq3WOO4ax2lKx6rBGHnwHnvHOztJ6eBcbDgeCiPThDg9cOoY6oMvdKvPtOz4JwDW7VzIvfqqzJI449ZJeVrdFD8F75rBzT4zUGbKEPDrH+MEXqP0YXKGztbbKbDJCRiZr2I0W/JSj/lKnkzN6ypXy0wLpJc8nNZ0UtRnQi5BssKzEmxd78ilJoG8+8FatdP62H0oE5AT0WeM9yvlcSqb+SOXDXG5vWs6o1ajyC+6rdxuo7t9oAPV2jEwkDGcAj8t6AA5IjKZbghJJNYAC10aOyD4vHLI9YPZrcK/h80TqJmza7loS0oBomy3/xkf/933PC3a/8DDzzvyT9mQkfxpz6lYt5loXrsARwTQPGLWz3d5b8yVAMAZCDT26tBjAuiE82/d3NxjwYrmn6IFa9f+VFUb1144xGfxWX0/Ro55tWO+ueTa6Jz2Nc6URRR8yRNyuGBKaQzi0S/rIecKadk931kWUTShh98hd8DMJJnQuVqBKt6Dfeva+PMOKNJmjrnt/pATIVVpq5GTncFhBkxTxEQi9+hK7EKFE8uTlt6nU8/mJ7f1HufpmPImKLwz248G3fTpqT6OBOwsVXDAlSQ/GgjxPPXwElUb2hizVFH8/MAsNJNnBby4KC3lntU1oRMuv+HspPLLmsOFrsEud+ynU8f7reqaC+uZCgcUUvjhXWSo9jhZqTon06Jg/o+dG0yC66u85mu/KalNpYF/Cjfs/HEi4YGztzAcdbACJQs2gEPVFWiVSicV17r4zMwwuQ0wH0OlHMBSwSunrLmeZAPgv+4/4xu0OvpCaLCESZou+Fsnls7UurIaeSjotQPmgFC+sZ3gEoicUsS5b4qBZiSvr5E9Hm2eeN1/QmbNVMGR3nQioByrSc89ftWeRTsxp9G/zNl3q2+5GCkJ4266DTv9wIEf6cZ092S4cbG/sxYo5CsplF19a71DNd5uKOXWr+D7L0n5V/S9UKCKhVWLaADD5xau/zLCTSZl4LSFtZL25a1b3jVsAX+1TSNclLU3G4IkLaPi5BRWXkZ87os7m6tIU1I+y/ezsCYm98gmksOJrvzv5NI9pmWnMJEX2uZsi2JSIM4SCu11RsW/Dbh7nuLmJ0UgJr5wOp2mf92L4j2epZIYfHegcFig365gD4aQng4A6Cp4OxA5oa/Ipn3odtI9WyF437AimVVJ8vs0BItGervXcQJbT4oLmP9WMDYolJnMQtzhUBzoxiHjB5sXCap4xw8PF1UmbBlA2owmVIK56GPCdMyVEQYKIoXe0R3OMSzGTGZISTeAXRqUCogfm0H3qa0vww5TzEVzal7Dn2MYR96mexZRoV0rHCogtECDD3S/zbq9VfV9BL6rgy0OkW5PkCMMnEgPSDXBOB0ti9/tp5zvqAYZk5pMMOiOtsIiWHtQIAB/gItx3RBAHbAlqOVWwd6nfVi/ds9vjur6rVjuBMew1t/K/KQk77wRMKJ6UIcTUt8UftxYRK43qxkwPbnG+ekDDsH05ceHAy6vRurzv+XFO6XFmNDNh8FhKUyieXMTykQ8H1YETemi+BD0ZQGTK0WNGAqEf274iS6lXefKf4fLYpOE0VSuM6sZdzkW3qBH2tzrslyu/erknCus06EFglrdwGSoDjWIKAn1zmRRYkN6kvbX/MToiJMoeNQQoUsP8uN2oob7T5vM+m4RAqC3cnwat87Z5CbjZV2BWxEr2yBCMUjNnuArt/2VhGVk/vZrvq4/YKsqusjUzxFaC4PNujVK5LSy17pBi8//sHF8La2lNT+Xz9+qwWUk9GRiGJcxkIihWsKpBiLdM9GxBubvv6oB0n8LZtAwcbSBGIDwXVTHim3am7EgxCK5cWMvnd+eL9RNP2L3qzaiwMaSwCDMXxg/cbWUlchCqrugi3ybCu2i77g5aIt9WhKuGi6dv6PjwYebN0jkyAVftDrsoe7JvJXKEcaBXExyZybKwJYDjJncZtrGPURJoYuE1vORhmcl59hAtpV/4Jn1KAx7v/4uu6O4kfwomM2rp0kwpe+3+BqjiFyGGQM2LYLK8V1C7U697WpvNh2MK0GKs0Er8/3yxt0fRimGg/vWVqRzoZ1RSWE93PN2WWpUMYuXU2sHMMfKVpvn04LnVblvAfNex4iuLlglt3C0hhhm9sd9p14UVGGuaQwlcSg4soGnKcFs+mBZfNEXVuqUCHB3lR4ELb4DfcB89itHoRDUdadaRCGVHStzOuJyKzUvfuNiO5NSfDqaPatTYlyPPaTEQw+KhmeCuH29lvp8kmMpfIP19fG/NegyD/NLns33AYMBIc2bSydA2JNJCqL916nfHs4KTmCjNcWDTJQsBjES7CGA2ZvVYWQW/rIijY+1Eqloe09zHbfdV9TvIaXKHprJ0YaN8AK7oNRNs3vqV+qCbEx94ar4UtpXhQCaJ05MJA9Cy9jGkR91NerWO0lu5UgwQkPbhnwKjeQKdZcQFsUEUOcDkLLPNOqH+/DkKSQtunpCOCXl9QJ8h1MVh91KuVLPUK2MFYnPnQXbO3vgP1P9vlxMMDvg/o1VnBuwoDuv7Paw9QtCK7ieetu+jHqT7Yk9LFbUXyjtVZSOpzSHbD6qr6O0r0TGCBFFWphwzINa1XSsg0+xgZH8yiYfUXiuYsJIfRlH6vc2zf+eAZzbyz23zPbEpmc4bqOpBq/zVWj++o73WnWXF248Rmc5htt3nKkGrb7jG0rkWEDKdnyjUcmx4SDTukUVrg2wNgI+LABOirusoxiLQnp2+7v6ERTWykq8t8JFyYuNxioFrug2uIdSzAlmGI2jhq+sqo110euZyLqxE8lpD/Brf1zhE8PYg1JusXMX+sqLZKoavNqAgPO+97T9LyK+GVG4hDifhZJ2TxnG4skDDSBzyWjmnnKh8zkunRE2zi2BrBWfId+QrViboQu0NboojVXFKXWGZpgz00v3zxkLyM/RrIx+OqSVIRuEw3zqrZYCV5W0561roP4wza9jkEegt6UmI5+oVdI8XK17vtmdLBiMzoHPC8gmymlztEZ40ZA6slEKeuKzvICu04AOyO8tZfmlGjHqp89DF2jRqLhUvd3xD0p/PpZ3MGzW1otXn2qpM3qqUJhwmpnC7GYJgNwBndHcBHt3NPjNQI8vIn8BRLFgjV8+U/DDSPZpOU32gmmcncWel887TWpYy/uBKgKksqBL7bozMJYZME59P1J0BncXtj3HY4Sk1kenA+1zeCMjKKItemehuQsJrnOUqTCXv5IZ6StgDi9pLCE+CK6psWFkBui5te/+tgxWeYbpcPtTSb/hSKd3TWsWHB3rsKTqdkU2FuDb+tfZMjHolhkFhc4N8XZHgC0flFFNG4idPFiGbtoIfYEvptq7T42tlvb8FSe9u27Yuio7HjSmh35/kYiir27DVK26HKw9gp36qfhxgV0JpB6GPxf5bid1tW14MBdBA3DNH0IHx8SYG5tR2809LSa1dL/kkLxncHgg5JOl2eHD/K9GZGejKtg2p2/FlS9SiatrcBq9Iu1TWQ0xXAx+th3ZV6zRpK+U2L2c8Wm5MN9QYQQH/HovayEx6PV+GZdEI4CYd47XvxhGP17gsDoN2i/NCXGW24FnPYtvKLZOao7CMz88B2ykaEHyPTjAc69YRMXhNcyr9+gGjaBnTC8o8nfvfLI95Mv/W0sUSoeuNtnad8kgrAj3XNU4uG5SpcjB19ZgZrQ17bxUcohE2ZWlQl/umjuKa9A+psecb6vfVox7ensmrI5J4Uv0yeaxaI6XpipmlYyJF7qo/qShhwKU+S1LrmfGQOyt1W+bNNQ4Zl6A6P7N8tztwUmu95oenTEahJ6YdUX7kmgcGAX4AOrZOS6yIALrAN7awVJVwBAPJjECwa6krxfI/Cn0uHxxK5w+MuoAV7nfKg1fqM2EMUgMmDG3lrfrPX20fP3EDQLRkQeqVRgoENEhi9VcIE8zMvlu9ysTrquHw3hT3Y3eqtGdItDeQ6cGYVxvBgwemSyz08qTv/auBc1MYO6N1242cIW6ffoPLcW6H9Wc82yeUE6/dQa7qBIPEc0pjEBCofVU8QIFJnOciU4MhARe8XvvXOoS9485gXdC2cQqupiECTuI0FJpe8xhc/louyFyzh5SUxdS3OTj5YI/XPt6pGzCwts7fXfC9fdE3srityBLy5vu257DKdqahDra6b/s3tBBQd76qyC2KxLT+tuQv1920n2SwFUm2LWpsg/hL/NVkWHSGW3k92OEgxrRPlNGaQuZs5vt6YnmN9/tNe0Jsic6le2XOx/TA5jCPwmn5QdrGEVe0kt5T9WwJ2nbrHXE2WjVt85wSdoqp7aS986JywQBqsr1644wqi/23h6k9Hfho858091MeSj2rpmjmjgk5GuA1WqS2ZjBVwjouvx9W0Pbbhy37e9evHnnvzNivdBUrWSui8Iwb050AMDg0VfD05R06EqK8vOgwRiQIx210tZiHVWxPodXyyyr9h0UD/GBrodS9gyW1a2YFUSe4hfoZm6u35bVlqqXUJRkw25lZNPTzfB3uBjd1+I0lawfhgB","format":"anthropic-claude-v1","index":0}]}}],"usage":{"prompt_tokens":194816,"completion_tokens":3108,"total_tokens":197924,"cost":0.420712,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.420712,"upstream_inference_prompt_cost":0.389632,"upstream_inference_completions_cost":0.03108},"completion_tokens_details":{"reasoning_tokens":0,"image_tokens":0,"audio_tokens":0}}}