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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQKvejwDnBMFMH8vYXrm","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS1lYKpwEIERgCKkB4BA+v90sllH9HBeJJkLQSIEMWlcpSfG2pJq9tJwLPhH1pi3APD4xxlYWHCmBBWzCEaQ4A1Bxuobc+XF2MaY5NMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGFyLjUBrABAhIMS+Pm9jGjhr1U6nNDGgz/zJLMAFY6Crf+uyciML76hzxy5orIQLzxg8yaMP1wfR/HriaqPP4ludZ4xGuSx1XHoXulO6/MGp5wtRUkKyrbVLse12mFmSiIYD9jB7Xl5LYI6yzLHvJLCKUGt0VKf9UZXEV7ooEMIyuxpzQRCTsImqMde/SiAMDMK/iZM4QNvWzMCQkPWEcEfupD5n5StfTZLqyU5m2PqNg95mRjATXJdLGWNX400UO1z5XxC9yZ445hHuVfNX51sv8bXyYDFWelluhv/Q1p0a3Alrzzk7JoshkX8XAvSlEsqNvfA6U6NRav+z6WlKIdBytTOPx2PlPqbQSvBG8+SXWIPC5rpNRjH3gMPhO6gIVXI4lh5A2Lbwds3rhbAIrFz96Q5oHwX78DayUJfz88/4OhV/wyd5Zi6LUJGq0Be/Y3ffKR1Yn94wVJ7ZErGLlqajekFARQ4pLSXbhP/vSw2YpsvNdFn/F2ZoDtTA6Tm7rpWPfkiLY2K2+11IZMmHKSjdfnDyMTXcaN1sPH3m8kv2awmCkV0NmUN78T3oPl57SgCwkQBL+OCcRRffcJRzKMMtUoxzuakKowQJNVRMjj3BA98pUyxLzVIiDFll99/LOhSvuwqj/sGuX7bHohpHJn0o8fXc/n4t7pxh31lrZG3IfEXnHMaFOqbQDba7MD0nW4WRPaJXJbGqUys9m2TWNGjL6hJpkFJQX+TTtXz01w4QjpcvIdXMIa3F7UI5U5V6uBQNejxK/AVjBjOOQO3QRfZqmQzifelFDGBmp6tBiRXlaXTfHtWl0Pi7CzxFw1tVaq/T37HADqROvE3z4AYIXPSyvln0hd+oBW8Vb7o0h2RR5QLavysG8S/TbF50rHMQJfBe7jdf036Qrt/SNip2/g958B2TSIWHXEch8jpGQSDZKbDyawA4sttbH8mGS/4ObqjMWMnGsGFUgTkF8K0A9RDWQI7oIgGlHXw6dnIDrLfRRnHu+P2EsWFSOXK/UCKVmXYv1u40+Iu7wMtcENrRONNrs2vXys8vJfbCQa8mbRh85MU008Y5IZO9HjaTXt2We1xot93SqZSFR1KaDBmK4cd5Z87wTMeAYXXIw4Ov4Z0CMNsMnfn2DFgqhgW9MOjbI4u0BhBl3S58LpqRJ62l+xLtCQciFNxUx9q16/NuVL0XOHyqtk+lZXeMMWVlZi/qDXA1YcaCsWRglMRUyeNwB75+g4u494Vkh3kX2sl+ztQolFbn1naKxBx+QgrMeZVR8l2F98j5dDrboEOCHM7mLsQ+P1bfAg6yd327AnKp38CPgva65v4BTYAf8gaXj+eT2JLm34msjSaoGx4D+eSKDYfrGJ7K98Z2AbC9y57axLwH9PDlowZXeSp7d7MP74JpxFMrAHPTvpuEGyEHcEKS1Al1ctHbO77XM8qSA1wEJRMynA02f7Xm/WtRZT9Hnaa+LcYtBpwYh5mbgNUm7S7IuZstZ2c60+GKyMVSs8Os/LdAyw0sL8aXjD4Lwh7K63rrUxvhMurHggE9R6nh1Fwrzl8ZtvKb6U9k6O2r5zMzoRoUm8pgvE/iXZ7AZ01t6DKnHrOBz5V0gTgHrQ00iB2+NMY3Nk5mdIKPKCrIg5rPVfcM2D1lXHcPNj58NUfL/kSEmZxLYH8L3EMwhIQrSu3nG8ShfMyiCr9wDdMaYK6lojmE93rcCByRPamMp5nzmFAmxBCLwPU1EUsNMjgcDN9aA/2k4CfBUkszKm96xSfBMwkdsAdrMz77KG4LqOizg4Yf6CW8izUaloQ8wLfs6sHBst1apxazXrO9BkTRadjdlb+KbmDH4lyyzAiIW2COyrT/sTR6IabUDj5b5LULPaHbXhOM/KAHCDVe0eWNIvG8iynEQeFW6ERWiiNXyCWpE4QwOP8BtBr1Mt/zHFAPDgpXFyEPqe4Kadj0+965z9IwJzsHZtLrqo/oimlZ6KF8sxe3yDCwWoF3jRuMiPuW4HYgzKMyP3cuC22k/u2iWJwvr/3aLroqMY2P6PHPIvfSAUPV4nEKgZONKS+Sesc8kvsULLPmKP/WfEQbicQkp/s5AsrGYqqyomY8iHHYRvreCjF5cPy1SPFI3OHVM5qzNLtZIBrGVFbC0jPlmrNZ74f2PcoSca4ko2Ug1xv7JOwSoJpFvhYJz2rP1GAoPMtbLpqg6NhelELqkrA28x4HcmI6y4TyBko41wZZhZtWJvDqYsK8mFvCB3gKQ3WPkT5Nl6f4gOJhADNs4lDd1zYpu/i0/OYw9IgpNByxBgNCWScIBbD8tBi5HNw08TuSOdu7WvlhdIqPqdiKKpiJ5JsjM5koSElWDWt0imdHlUxv6aICcBKZxCunG9tn5ZVGFyjDSCm2pnyxhAiXUqWwCttbiFLwIPBIokXclGpLRnXSdJKxiWYMM2DSoaX6qBmgyj+eWASnH8qIGRQfIOJ/0qfz/bftGXbj/uXgpxcwSD92kFv0knEAiI7Z5mPXucJCV/lFo2SMH7GHksjB0+6ojuZ9xa5spKtGVIfXyqJQsStxJ3aFpvqcg97gFxsUK+mUuOboaI0vuxiZJuzWkngOWldmk4fIaZqTVtjHwN3a1up6+rqT1cuL7K7s5IkUmjc8/MTWOxT5cgdsCinmjYFpgqfSfjZX4KvqLDzAz7JxOrstc8gnsi9yTr9A+VJHZ1WDELuDB3D8EDkhGSARrkq5zQtsRNj+lP9HMYTwd3BDYK1T5eSTpEHw9KApJua3pg5QCy+PwB9xTgNn2CwBR3R9Q0yLoOIikfyelvKmYX7SO3owCv1F3yA6uRG5UmRpTVaPrO5MS3BClD6nhcSnshuCfUcYKMs8A6wHVJM1ESgNORCsLQJ6lZPy5Z9GuQO/vxONgp7G3VL2E+sGp+vjcNpDsr3aiLb6FgCCgBbzcDsQscc/zIxvx+hO2Rzreu+vf2dyNy1yxN2wW6GDzTgC/agDvHy/ChfrTBrLdpeaNgqhF2nS8DjTkWki8+Nr96GqYqxtxMjn8QmmUdCs7grBsj03ACXH/oN+ou/KHk3eJnjaK7P4SmGnZ4BwsXaxlGokhiwx9O3qYhWLiOiEFq03uXiv+mSfwWCRt87y1WTUK+Eg/T92UhiaMxG/hd9TRuwStjERbuFV4rRa+NE8u/HXU1Ud9PqlSJebvCzolaosNLSwm/DN+IHDOJ631P4Vpj6DogffLqxFnOPLkDi/tnxVAl26cMPPhArGcgI+G/vkiUymDaNFakYm6Y5NJZSiUFxbNhHFrB8foA86vZjGweoadZHQVYDW3Nw7xRnhF7MBdsthEzTxxCUEmfDt3ARgcqGQKZzG+PN+iiHbYolr/IVclVfONs9OtvEZo5W2YN4GLkliA1cXzb5oKjjvtyfU5DCVfnqHIOH2/7aS5PuLHLvvqa2aoviri2Ufj2dxHRzzN3ouBV0xPrLst0XRrR1o2h2a7nHZ0bBs2toWMyovGrs7/qDb8J0+INBT6Qm3RX1TV9gsR0rV7e0+isbd3KQHxf162BEg8+/nv/JN4+Lfo8NJYSJSwclMBoK9JunA99xRXg2CrlKHGmJMVycKgTB/nJ0gjnXJUBoJC1U8rtX6qgbpJsefvI9T3i2CKwSPL3peANBsvcwEPv5/CecEPdsN3cGXsUhudu9Cy2d7jOxBbzxkDIFWbhzPF2P87ZRe1tWoQnYFJY0bNElcsS0/6UMMi+WAEAzib+ZlqgcZGxvhOswjWt0VPLG03a5BJFWen5HZ7c2jICs4E/ppYvAdUe85nTPrIUJ0JQQOCx9jYe3OqIKvoARhdDTF3Rt17w16s6hADSdvdz4OHK1KVCicgVQJkvnpmmz87A221K0U60xLnYEfiuJQIWpUkp6OXxrJFBxJBMpLRl49AKfrXl108hbupcT0N/56kzuD1gDGW2KmDDiSXy4owpXr00zoyvN1RiR41OG1OqkuiNqiqieGgC2fb6dDdZ0yt8vuu6AcQ48VzMxi5NWNUYXwg53BE7Uu9ki7FnI/7dUSLsHyeKVxRw70vE8AGXivop81zA0MKIQKnqCMTBI5jHJf8hUHUYTea0CBsAu+DcUUJYKmMO6ntwp1fcs4nYbCA2sEPZHmOSc41irZDRqvYU1BARbWAFkr9E9uxXAgd3WkCrLbZ+aOamvCH6X2VOHMEQ4t7Ot+Aq+fT/3Fybnr9PVoLMG70nGMJoALxr2HdHKnYkC4QXo+1LPIcbzoX3OihXU4S71tHvvtFYGZ0NJe661hbeDS6Z3k7Dm770Wyiac1PUz+/S3dKYNAiWkm4MRPCEShWf08f/mEbkJCpbXA2QL5hce7+gWgKLLw42pf/d9nyWyiPMT+nadtFQRP/xUt4DVyZ+XKIvC5Xj5f6zBNK6acswPj67yfg7Otp5ZA7Rp75FI+8jsjjVaeGNUhDgm4MicAh7DXD+1DamuEqJi5MzvPfFjMaCgwp2QDkZGZkx5WHBe/ItBBIne1EhyfkkwME2qsH1vbvaGJY4ndMJN148rEFJLj0yXqN3lRwK7yUcwiX5Fm1PcnBBp4KiiOnUhCD2qFEHGP3AdCiO985G4etK3kgFFEiVV2CK23sJC5j4aJ7UDNechj83dGOVTCcpFS8N60ao0PAaTl6skvZzYPHbX6A1p4AZh0QgZkSxLqtZKgOgtWCGIt/ez2PRRZVLepjKUREONc0rtw00RqhUBanEkLdmq6YAs96wGhYRUWaPlcD1XxpVJ1QgP6US3q+SXbzvxkex2yyU2lLqzAyhruk92ZxLMAi1SJUPU0CHN61YDFh/nXUbYnUzi7whNpmoRXoS+lIeyNdf1szYEzwgg/N/Q/4/2Vj/aLvhbnauD6QE53JqHrmoik1t6GMzYJdOOkp3YnFy3F4+3C2fVUsadYPz5FGunKVql8USZT03X4Z/+jX39QgNUDtIQmcTcg7V5BQEfWuO5G06G4qX/zk1ZmKhP0XHLa2RfcoYskyrdbtUF2ORJYyJbJlRaZBT/9EAe/dtTRu6hAB5Mq960DqSuRdDn4rDCJjFZH5ZLkx24vm0kLwrhqFSHv/egzmPbyB9OwrqV9OyjBN1I7lvt8NdYZQ8JAPXx7UpRLfdDEQIfpk6JvhmFlZ/FohyH/IThqkVv3z6PkRpia672MRTVfkF7ajqjuflYPPXA3YmZ/FRoBjwJL4UuCmMukKh5FUjsWALKu60y4+tWf4VYD3jLI/FfhWzIq6B7Ep61fwYnAnp4O6T17cpx5tCI6kgmDnwGVn7JvsJF/YYFMoJzae3NBb2jv6ZmNZRQ5wHQ9WGoOGgCb8rk25iqhBGVkDvNBWpXI7ypHY58fIFC6vgRkBzgn56hf2TiGPGTnlXhYAikqJmpNAS8f1fi0yU4qShB701wuPoxev/aYlJsScFOG26H3y5/rnGT4QDoW3kfTa7kSwt0h9rw2Zi1iOIF0amobxD1dwbaFBQrHrF6V+bJYFV63b7LpOPi2YQcCNx1UyJN2y+WexnOYT4zGBcnoVbXJ/xcWB2SR9dCQICfkspsFHhhf0YNzuO4KDnvtUd4XoUXgpqbcxDPLg8mtafYCsK2k1e3y5j0SP3uhY23e7SPFUAKd4SgJSTuUYdl1g4Nvq+3V6/jXz8d8Drj9l6S4rUq6NS5BhU/nZyRXGnG3eJvECkHHx49M4L0s2fZhGAJcYtF8qZzFijFAUBsTU+hGVYF9E1xPTZiuqFxKfLMyB6fFwx3F3QLjUe4pgff54VLoVlloQrmzHhsiHihhGs3VK0mZ42Hn7/uauzLrgSJD40A2Q1A1rtRyKdZbDI36+bnjzLePQrADymDNaH1pe43bmP1J4h8Ox91rF8ylRrRwKX3GqJtT+YVMmLem+N8fGsNhbLBKIzpnUpwELY/fYMwREWN2HV88w5g8+GgOeGIcTWNGEbZHTmSjcj9+R5yHCqzyifJV6IG1HehpUxD5JzoznAkgixWpykOwdkhFf5oTtvR55Rz/aH1G6mC45kkGPAsDsPiyXTWgRg+5oftvwvEDQ3bmTcERfY9cjapVLpjMkno4JJJZOCvQCi5UiWEWSY5l5E/NEb0nUmb3iWrNoZs7RuBZkp4c9BPC9UFv8RsPRu7iAmDhK+x7V0B7gH5rQsdrSxOKl9xJyyiKMoLCcdXZ/FcSjeNgnMqGxVn7z8J7uLcJwI+wITJnYddUkGFUCXqj/h7eQhqy2am/qoKyb7a62CnBGAM0mt4TxyQqVlJi4ewzwFQ1gGUNhsG7flSKumRKNrbFfqf3TJlcm51bQExS9rjS8JiCf5RzKtbhVBiKpTBpWPgffCchSkqMTXTx778Ig5o5HFQFbjjRP/YSD2WEWgLrcPcSmxPib9wN8vVMm/WhQDi7AHiFFplNmrJZIlSqaBVTZtVeHbvxZZ4gzC22PgcNzARf1WYwr3dK+Cref9bYhLs3LZ3DKnOsusMkl6jmVaYw1GRdmCKjmI2kUnat4XFSefSZ1uze0ZKkuU1K5TxSGh1MqHai91zeXaGkrvyRJOF+6+HAzyAGEd8VK8IgdHx4kQHIqd/K5XrbnFJknDImbTyCYDDYB2kHNhkMrlsIldv4sKvzmirmXC+9h8kg+H9SCLorD2fMiMI6hGWZOcUDKSqJXaaeTGhb0opnpJvBZG+CrBiZIC293jShia6Z6pCa0+XBsE4bczIG9fm/ov+e4MQt5Y3h/LOHGGHe7PJVzIgSClAEgh8BdW18CveWNTUvulIhZtRQySRhawSQsDBgcGDJzXOqqajpQO5kZkFNedmnrYKHf2nrYkiwqcHx6AvJmKq0Y18Y7o0cDyPPnOvZrXEde/OAiofVBQ8YVyh/MPqHyqEwezP/ClekwaCArZIEuSziEXFuUo9fl/qXKfF5Y0wXtQ+NLAjVmdclBx0+4PruqaXqogqh3nABHOawI/boHYA4JDrlCHKb8MHznHphQB661QF84bKYi5HziNA/jRBYzQTminIkInn6YobFczW7Dr7RRIKHgSis8KTULUY5ig6uGuud3mUZbBWmXqNozwp/oiXPRiLsCfGr0NyRZQ9uiSQbDchzNL0k0VxbWOQZBokK2bZUmA1HnW2u6MeXFpWwiwnHIUb692ZraQUd/jacW/z7usdxIlvZWWGZjDlMqg/e1Pemcqe8gDBv2Qy3E5NYiPY2mnJkblbuq9nFWlmkB++l2u+YYwe6eOXGBOBKcg9lJQdXtls62AFrk8YcLOoOAOV7WsRyIj4st2rtunubu3RfHw/YZ5xs1xqXzkXcpFv2jdDER/k7ghWPZ95H5qLjSPtVE7C47bmp/NbRQjjna9KilR8x4FFOY+h/yJqlCK+fpTOyE73/am2dvVAuDJlXc/h3s3OnvprUggzpjVdS1SszOqzhijgrzPx1M99NQa6RmGRSWjqhff5X4Wpw/0DIzn5/cgzMDqTTI3fN51RIIkbLECjFJUBMTZa9QomEGScd8O9GWWt3j5DIugSs52cKV6j6eJTzzZr/IvXZvSN8bSb8u1OwLct87yqluWTlgwk9u/aZMM0ubV0Qa2GGm+HKg3Rp7ZFA/ByWMJpfKap/P50ktewZdlAxuAc2U5yP/Qct0jpTAKrNOSCybbq0+K9qZb2OGQ8CdZyrbskyuL3HHM73SvFquZyWvor7Yw3ENy3gVdjmUEBMYxprzmK7/v2Q00vfle/JvIZ3RzRvEvSj1pCjTpSwJn5KAMIbsKpWN/BkB5SsU8Xog9rMLpho9Dm9WA5XyBupBLdy1pg1o6ub712Cg4dYJv4WmbnouygfqZZ4kj6/Wosrys4OJEamyv0w9kshJ1HrZrt6S9kOQoThcJdJ5zQQUUsu19/+ZLynwVGaKH8x8CRnoaleZvFAW/X0J4sgtvO7x6VN01URgJehvJs3XOKG5Znex0AEP9uuMZnBidkbyMSV5UZUxP8yEcXE8lGQJHf9j00Me5SzHIY7vs08GDZsW4Br/PcoajSddFHhHElO8RLW5rbW6+nMqOG5Pxwupv4ZSUKNN+II70FFRQFdl+8XqP2YZeQELqrRZg3hLpXtTl5koybDURVa3/uSNhqmA+kF3Z762szamWm1Fz5XSKId0maU0w6GbaSslZYdYqoSY5bdCM4A9pQyraBl1Vi9engYrx4mVDSFXSCurZLKLvmX/dgQeaPbWKAP92iWbyU2+HxgTbZxlp5KyQ+2uFllpGcDu7M69AhiN79DuORO0SiR02ZrEn5RFsWLt1hRfq4qXkQU+T7f772weuBTKtgiZSaF5k/pYbu377Mxuvw+x9bRv+TmTfeMLv0oyL9U9+ylHTM0D/Z+skRkZ3dqWHoyS3svT5O4N+yTGDY+u0LbfqB+IDEdrVpiZxL5cHe60XIKKSYjuYvqbo4kZNHhgyMPQiyPEagagorGq3yrQCEgJ16E7V3wAcsjEod49ySNZtUr/NAJN8tDO4bw/SnLVxkTiVVQEccnKILZxvi0fIYqDbWP3LVC0CivZ8yJj9rQSZSTQf7mwdq6/hA2zSIjLlMP78xOwyLDx+55SM1u0p4bXRaD8/sIgQzq3bdDjDn42hcyIMTn4lxrU8uxno6e97RChn2nMnoFQmerN8WhfG7ldeN5kRw1YbLYhpHipb332JKLCOnexxbIx2zpuueHcKaQxa2R3RJNZQqzc7iZKh5OqPJdiEn5WumViEbTp/B8yS5tdfLnRMO52muFAIHVkM4Osa4P4GIHpr6xpHMs9aAGxqzRfFZLJU8fvBC7U7GB2jcU9AeA4REk7uY2ARlAHNsytnT5i+4fL64+DINdlInbZiQLaxgtbfx22/AtZzN4m4cm8dm9euR0Y1LsxZ3UHFyyfOxEEaqmZ4+F8/yp3B6oa64uWFewOVWbWSad3yBvLFtMmPVAoWCcent5xTWXqwrGWuPJ1jjI90gewPIGV8Ev3V99i1v+8mGmCKhCEDfm3YpNcpuOeB8QM4z3J04wsqlLsPFZ4DgiE0KcFjeSSmvWgIIYAro0CS0jCTaIyYX1isIAEa+wRtWdJPZH3UX5S8DHIZFiML1y3puttIH5RXVigENby/ESG/Ct529IBY/EZfZ6j4HWi9BcxXKi47yFEvATWzzRbIheijhZCcUB8YDrN1iKZPmYdrgW1K3YynnUJ3wBIg1pEcKvgt4UWbNuPX/SlCjV2qJIKvlAEMfQ66T5C/+E8/fKqvyNKrrzdfLG3+2yRIHj5MNTGuhLsqjvqRXCZ9r9cspLBR7+j7NTIrmnDTlSXc4yvm68lTh0REAT++KhM9tobwKOADTuHYc5b3NjppRRkGOZy4Hs7jPYJLhopoiykbTQgw+agiIiKQEV9NPHjovOWyM8B3eQyMGghhSKtf6VkWf9u7PVCU8OHYqVlnWEUJqqMOiAX3xIZivZWUWZz1o+LkQvkO1rjD0NQg8xpcIktRARIHe9BLaQ+wwYgiMZAKtOIsxlTs4m3xbbr//N3BARcXQcr2bRVZN6XwtUD2vquBJ31KD4aGpfd3fkwz5JZoR5n2NLwjw1N4B+tKF4ihZ4XjScCNzweKR27/LH5OxR1lJpK23bxmp4YF6Ua9x9OAR5bgzIiynpYe0yEX/gN+xqvcmtzxtMefnhidky1K4aIzHlZtIFIKOz0jO+oeWV1o0jiDSaCJc52dT5I3KuAOp0atpQKfzUMh4dDTf4mVXGAz4PImXKZRWFIsaRop5/kZz2zoopa/fb9u6o8pt2KF8drOiTprIHN2i4MrKb4w+c0SGinT++9v5GtJ0cSFDtI3W8r4xYvmfSFnjt6Zt/bWkQE1YNTM/q4s4WX+vzlga9bW181SFx0pI3LPAu4Qy/oYDiVvFW+Y2RSGQsCDcLmMzz32S+HsNx7qJSEA3bjzGj0E4YoIXa2W4QTSAZV5i/LZOyOEuheisVslCxUwK8Jp460P+ojdiZUPdOAsZAWNCKsW7ihyfCDJiDOCEvd2a/Gx3qIKrwlkvxN1BPhqfx8Q2K/LtfVKxEybeNccyCZOTbpQlhIMv6JJRdJpszeRpanNPuuFJIRDlEcjpbAR6Nq71KmR8iGE2plx/+TlcnE1q24p+PXZPBJDYWF8KWVf97iw2lrTOBPVYigUdWR8tnWDN4rSn3Pk9GFIZLIxtqiH1cVnzRzEsVqvk7+1+X6UFmD+FrQRAABjIxwL7YLyQ+Os5gugxExW66zLrNhsYQ/OaotOwSz9vk90dtwAWlWyIiWTv6d9yb+rQbO0RmT5eWz5nBopVIml+EUfG6a0dR2vVMNHLH0X0+AMyathY9BgMiFbJyoxlSTUavF4i3o0RAyd0omzQk0bITjTUTmzmt6GCPif9GxSMqrBeNEd005xt5wiJ3brCs6PnFHIS3SJfG6eeAW3uFrk9R3jQ5NhwSSFb2MqxZPxOMjyMCLSeLzQAX+Vwl/sHmhTGO4Ib7bKqKGvMABA1x077zr8J+a6Uh2gLA+S4EFwAg7dSuhz/CLvpjOh51PEDm5ZhxRnMUuORYyywyRPzF32klz5i+EC/rMcfu5mpk36p3w3MGnhvst3PvNDGxa6Lzc4UIDMha7k9NVRsyMePeBn+njmsRMAcU6q04XuKSJ6AD3wAgEZqbfvMoXe11AshdKeOZRnrLyHd1vxOYVd8L7aMkXM3CkHeizNoeJ/DyjLH+wIs+11OP5McLRwvc7cFzVtj2ac1A3gq5/ueGlTEPhi/JMhpKEinTyaZOpPBZo22lUqUT3NJhetBMbuLEeY9UJ/1L6VOxokIldzpAZLlfOrCkY8C2JsdVuqI+tBwjYOE7800a/XsW6A44amdw9uMiacXmmtEd26yS0VHtUl1/t9EF91WmTue3QKNy832z3LkQx41w7VkCIp8pJ1PMwrz/F0h1KviWpd5d5ll4DlioMYeMcvp7Tvtae50Kg4q9ZSx4o82/cO5kQI6zh4tjlaNq/P1xb7WbFytYWZ73+ozNiQrJ9ZG/RkaU+c5lEieMc20Y5S9I4gdsu9T5Xt7NtaxbHId+M0DiAjPUYUy+sfQ8zPbEdt6/yFZmgezo71zUlMggiZlu+RIsbZx/2zrO3Va2HazNZmV8VivsGm+ErPtulQOSM5VpBLnOSBeLhbU0fpGzXa1R2/QE3iopvSXeTG9vmaAf7n6IBY37anlq0pyjw6F3uS0wauPuHgsce/+Le9Yw0QoB5Gy03rhSk3lrFjqaZTsl9C410M+XwRLpWbULjf+L3gbGksHIiXXQP1kpOjKsRKN+R9y/QMaEwfMv4K7p03TKSPzfwkA7I7+Ff4PFj9bBPwceEs1bgF0NHiB9flwc/KT6szOE6BRXzApGVFT0uD0H45Q8YYCOx67agervTQtmOy3a5s/UyDxk+CA/G7GxwuqHUHMgyPkfMfyQ8GvYD2Sz8SJKbTBMOo+qI1zzQwPPR8j+RhaXYSsaIDRv1Y6J4SWpOH4YaRf6ebfdODqsSZdgt1yIkU1BzajZRD0Gw7mIqbM0BCSt+lg0srWQ7w4oqJ17P04Ambh+UqJsdmWzJZ16ZML1YXdnaPWXxPl6emnOVt/jM8cFU9SQfkDUpO6HHqLaKizMuBw9wNYOff+N49vt9P5HhtdBMM9lBqpvkrLZ/0SRtNMcyEWlB4fgX+5ziSHJePpEtee9e3zUr1jIOlAnFcZ+4GomQF/RbcUr0OW0hUJEWWteKJB3e/Gq863cWwOChT4Yj3ymKBrfDF05emnkVoKKY4FRsPoE4QFRqQqOlJV/23PV77J6arzEDAjYysFlpkdNm+l4/Fa5s5UzGtQEEc9P0QV5SB/wUI19TohCpEHU+s7/dRwGZgD6NJY7tu6G1xVWvatIrrChd284O/+jPbzQCIvyZgFiviqfz/2+nrv8gLHqrS4mRV3CnBiszJOvBpQrDpXvvMzh6ntuor7f+XWKHVXw1uBUqhRA+u8Km3kBU5n20oI1ylZypf4Jjx4M3WQQosTfo7YeZleskwtvymTd4x8t2p3lUxAeb/6OQckMlGjTBsjmFqF4FvWk2kKkomwSI9OHNonEf12VbFrEu95/Sks74juZLqt7r6SHj7KfRZpg+jtFLUsMzPkqeyMVrMYY+WqAOUekTxpTdhxdcXv8x+zJ8uPdT3sUygoFgxLEbDqi+TcuTd/t54mkCUSXc5hgu73f4q6lSz2pA6nv0xPCjJeLvyGwnvmsNmXvggFgGq65mFFozJT7sHLcwHkjCWjNtFS2xHy81rmfDdJzbfM2LGYWmwkBT+d5xJ+SEjbJe2NbUo0N5zHvHmsSWUz/A9OONl5xi5RPtd9irfph1MHOkmXG5nyr4SkW84FEEhdQh2DrzDlQ2vQeJUQowRWEi6kxusmOTxxtaJgx7VaIvKEBElQ8oEHNUsqrfRT4XLayf4oQwreqADbVMJL0G9uPPU89w6IIeh7N51n3dlh1fjzdVBH8jzrraj5ckH+GS9/HSciq3Se18UUXcy2tn6NObF3/ABYAQkpmeUzw6o9jEhaKP2NarRYBafgqr1HJuAdV5kIkNS1eF2rC5yOzW51sTDJNzMfRZiUB07XQJPfrgfbute7wuV9LUZPuZjmos9sdUYR8Ti0KWU7YkmiBF0IZ44Ui5no2xD6Wt9RyTRGOZLaNaPMhtA8L5Xzbmz1428xIMiZPhZ5zyJB37A6U9CgrPkaY+KlFtZfr/CUWKOQ+VJNn0KqxyRJN5eG/OsHlnwanDnZJ6btn7DsTJ5wVh3lnqtgS6zxSEC6F3cA+Zx2DWJKO6+cV2QVpsD9fQ1SyMfwBzSzsGNWDVhUbvJFWe1TrltvHmZgVcbePV0J/q6dpfjDAd8m1DtK10K+FLcKx3x4FUmUVOhwTSmDS1NA+p0x4WgRgXoKeZzD+cz8TE/Wt9LvZd7h0fVjo1lHwwvFft3VRYPVZC9COJohMB+SWM/6VN+0thkZ9QlNb3HisBuZwPWuwNrbxgkezi3gtvwHBUD0KYftSxxO0C6i4eXwINGP1Lrcb2fOTgr/ITi3rgoPFQj0kARAy7c6vVw9s7UvEoprfE8PvB8grrnlPkMjneg8mcgAf6q5qMIXvvN8tYCp51RGPlkjgwAAGrlHe6qpo/ussV6yne4jii391nb4w736HhnA09VDoq3ffPXhvKAlqNCzqWRNGDS9klj1GPKs8NFxXfZ4hACDx4aHVEFqRTzQ9WtKrdKVfyiJxrnAaq8LhDTOKSOR2OiYvmYpKGmQI7cZwbcwgQSSCoxQgJtVE3nBda2npK2OFErwnFQs6OO/OWv0kCqyP8icUWLmuhGe2hYGG2aq9zPNW22VovWR2pYTkqpvtHl6/dm0K1LHluaDY2FPAJ+4jMujiJLwFs/iddtGIL54VcVD8AVoTkAU0d1JTrozsX9R8/Px55ktvbb0rpinAFFDhFfxEjJvN1hpCu7ESjHGDTYB9kB+6wqNWxgZ7LwVS2X61mikdADB7mAaCG4maK8JJh0n8ZgyUyTURMpa+hPgDYnwydEfT7ZsUChK44GXRlJUaHKaPPI3Z6SHA4RGEV+ImNobRNl12ZZRCvBLQJr0TU8kZ6rJbfWFKAeOgZN4eGdThHE+yRR3oj7xavz7tEkvPpvNRpsprYdNXgEHtfnN6ndkbJZpDw04aOcQdoM7rinRh031pdDuJVU0vYRDjHn0MQr5F3nDFkEyMKX5kw/9JU3RqBXbAoFIqICRirNv249pHzQ1jRIeQVmHr0oTeRD6TwQBhWlNIpRKkF00tQPQrDQrTmaxFpdA2LXBPA0r8kCwxG7UQX5dOAwDuTMsn0bsO47zf9yC+sWxlULbDQ8xiA957CVPMsOg8cVrhjWN4srZMckGFQ62B+JtWsMn+E8Nbumj7mtJYk1T0KPziPWUpRQ5irsaqyOyJ0EZ5+ljEcmy+uyd+UrHz1STKI16Di4v9qofHr8Ibpo5AlQnO2PfJ6xpDNPbPz3ABxGNy0nAzUnfkOAypU6rGgaQJcINWVpVC/8TGs61OCXCVm5TVnu91sJEzIwkP6TQTW7ZBk54cjO960EzyBN4xE+Y8hy0wHOWN8PheYCqEFrm87RSB8YQAfTOl2BLG6reuI8/Mmcq4vbmWnPQyIcGKLPj/wwmhFHwbwVsUST6MB95PJVEWpfxBLI26Rmm0YK8LpqbalfDFbj1GOyPhKZbEFTF9Q7NYonnjwJqmpSvB6La/QWtynI3EAGj1qKFAZFD/5Z26ryof9H4okvKBdBhE48FmcYn9N49Uu8DV7xSOb8dFPxMG54eFqt8QEamKdoNN3TWdcLGwhVbnxeBTTfQelDX7LKXQnsyQeSnUSTCrDPHUFz2rDFmhhGS9t9DhhTx0LGTIg3flI/r9r17F6XpaW6LFDd5BxJO+QjwzJD1c9CcaLdhJI/Vfbh3S/Cm54RCpL7yFmeY+XSu90C4FiFaIjWJvURwM477HiSYgq0qsMaMSTQq62qaZMs9OJIqe24CrLSVhqbdCTWKFDYbK/MYyFhqXQoKDSPIdad4RgVeTI2dKSKAvyD/wmDNZRNnAz6pswe9RT49CvHa8db9YW/2r/3OOCidrxVqdS2EO3dWER7fNfAnNNZMjcC0Sz6Dg5z/CParGs0p6Nw019dkwuQyMoHbK+bJ64Bpl6NdTPvwW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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQL5rrSt4N5A3pdffsYQ","type":"message","role":"assistant","content":[{"type":"text","text":"Comptage terminé sur les 16 apps, directement dans les repos de prod de chaque nœud. **Total Groupe KA : ≈ 427 700 lignes de code.**\n\n| App | Nœud | Lignes | Dominante |\n|---|---|---:|---|\n| lou-ka | M3U96b | 120 497 | Python 104,7 k (connecteurs) |\n| job-ka | M3U96a | 38 413 | Python 33,3 k |\n| immo-ka | M4M64a | 37 900 | Python 28 k |\n| fabri-ka | M4M64a | 31 935 | Python 13,5 k, TSX 5,7 k, CSS 5,5 k |\n| sorti-ka | M3U96a | 25 625 | Python 20,7 k |\n| groupe-ka | M3U96b | 24 017 | TSX 10,7 k, TS 4,6 k |\n| auto-ka | M4M64b | 22 859 | Python 16,5 k |\n| crea-ka | M3U96b | 22 523 | Python 15,3 k |\n| resto-ka | M3U96b | 19 556 | Python 14,1 k |\n| vrai-prix | M3U96a | 17 690 | TSX 7,9 k, TS 6 k |\n| food-ka | M4M64b | 17 685 | Python 11,4 k |\n| trouve-ka | M2M32 | 17 454 | Python 8,8 k, TSX 5,1 k |\n| api-ka | M3U96b | 15 210 | Python 10,5 k |\n| valoplex | M3U96a | 10 421 | TSX 5,1 k, TS 5,1 k |\n| ka-stats | M1M32 | 3 225 | JS 2,1 k |\n| ka-guardian | M4M36 | 2 684 | Python 1,6 k |\n| **Total** | | **≈ 427 694** | |\n\nRépartition par langage : **Python ~281 k (66 %)** — le gros vient des connecteurs et pipelines de données —, **TypeScript/TSX ~88 k (21 %)**, le reste (~59 k) en CSS, HTML de templates, JS et scripts shell.\n\nMéthodologie et précisions :\n\n- Comptés : fichiers source (`py, ts, tsx, js, mjs, css, scss, html, sh, sql…`) suivis par git (ou `find` avec exclusions pour valoplex, qui n'a pas de `.git` en prod). Exclus : `node_modules`, builds, et les données (JSON, CSV, images, lockfiles).\n- J'ai **exclu les `tests/fixtures`** : un premier passage donnait lou-ka à 6 millions de lignes, mais 5,9 M étaient des pages HTML scrapées commitées comme fixtures de tests (idem job-ka ~202 k et sorti-ka ~44 k). Le tableau ci-dessus reflète le vrai code écrit.\n- Le `js=590` qui revient sur presque chaque site est le widget KA Agent partagé, dupliqué depuis ka-ui."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1761,"cache_read_input_tokens":46315,"cache_creation":{"ephemeral_5m_input_tokens":1761,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f2feeb57-c5e3-43ce-a4a2-0ef5447b6145","uuid":"4a0d03bb-045f-4008-8991-778c29144a39","request_id":"req_011CeQL5qUr8XSZN21qTYAYP"}}
{"type":"claude","event":{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":158536,"duration_api_ms":146162,"ttft_ms":61849,"ttft_stream_ms":2702,"time_to_request_ms":54,"num_turns":17,"result":"Comptage terminé sur les 16 apps, directement dans les repos de prod de chaque nœud. **Total Groupe KA : ≈ 427 700 lignes de code.**\n\n| App | Nœud | Lignes | Dominante |\n|---|---|---:|---|\n| lou-ka | M3U96b | 120 497 | Python 104,7 k (connecteurs) |\n| job-ka | M3U96a | 38 413 | Python 33,3 k |\n| immo-ka | M4M64a | 37 900 | Python 28 k |\n| fabri-ka | M4M64a | 31 935 | Python 13,5 k, TSX 5,7 k, CSS 5,5 k |\n| sorti-ka | M3U96a | 25 625 | Python 20,7 k |\n| groupe-ka | M3U96b | 24 017 | TSX 10,7 k, TS 4,6 k |\n| auto-ka | M4M64b | 22 859 | Python 16,5 k |\n| crea-ka | M3U96b | 22 523 | Python 15,3 k |\n| resto-ka | M3U96b | 19 556 | Python 14,1 k |\n| vrai-prix | M3U96a | 17 690 | TSX 7,9 k, TS 6 k |\n| food-ka | M4M64b | 17 685 | Python 11,4 k |\n| trouve-ka | M2M32 | 17 454 | Python 8,8 k, TSX 5,1 k |\n| api-ka | M3U96b | 15 210 | Python 10,5 k |\n| valoplex | M3U96a | 10 421 | TSX 5,1 k, TS 5,1 k |\n| ka-stats | M1M32 | 3 225 | JS 2,1 k |\n| ka-guardian | M4M36 | 2 684 | Python 1,6 k |\n| **Total** | | **≈ 427 694** | |\n\nRépartition par langage : **Python ~281 k (66 %)** — le gros vient des connecteurs et pipelines de données —, **TypeScript/TSX ~88 k (21 %)**, le reste (~59 k) en CSS, HTML de templates, JS et scripts shell.\n\nMéthodologie et précisions :\n\n- Comptés : fichiers source (`py, ts, tsx, js, mjs, css, scss, html, sh, sql…`) suivis par git (ou `find` avec exclusions pour valoplex, qui n'a pas de `.git` en prod). Exclus : `node_modules`, builds, et les données (JSON, CSV, images, lockfiles).\n- J'ai **exclu les `tests/fixtures`** : un premier passage donnait lou-ka à 6 millions de lignes, mais 5,9 M étaient des pages HTML scrapées commitées comme fixtures de tests (idem job-ka ~202 k et sorti-ka ~44 k). Le tableau ci-dessus reflète le vrai code écrit.\n- Le `js=590` qui revient sur presque chaque site est le widget KA Agent partagé, dupliqué depuis ka-ui.","stop_reason":"end_turn","session_id":"f2feeb57-c5e3-43ce-a4a2-0ef5447b6145","total_cost_usd":1.2652435,"usage":{"input_tokens":3296,"cache_creation_input_tokens":32877,"cache_read_input_tokens":227185,"output_tokens":11870,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":32877},"inference_geo":"global","iterations":[{"input_tokens":2,"output_tokens":2676,"cache_read_input_tokens":46315,"cache_creation_input_tokens":1761,"cache_creation":{"ephemeral_5m_input_tokens":1761,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-haiku-4-5-20251001":{"inputTokens":536,"outputTokens":20,"cacheReadInputTokens":0,"cacheCreationInputTokens":0,"webSearchRequests":0,"costUSD":0.0006360000000000001,"contextWindow":200000,"maxOutputTokens":32000},"claude-fable-5":{"inputTokens":3296,"outputTokens":11870,"cacheReadInputTokens":227185,"cacheCreationInputTokens":32877,"webSearchRequests":0,"costUSD":1.2646075,"contextWindow":1000000,"maxOutputTokens":64000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"223ac051-e796-495c-8f1f-be2941f0b9ab"}}
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