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    "type": "compaction",
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    "summary": "Remote compaction preserved provider-native history for this session. Compaction processed 72361 input tokens.\n\n<files>\n# ../\n## oh-my-pi/packages/coding-agent/src/session/\nagent-session.ts (Read)\n## omp-spt/adapter/strings/\nomp-spt.mjs (Read)\n# .cargo/\nconfig.toml (Read)\n# .github/ci/\nflake-registry.py (Read)\n# .spt/\nhertz-commune.md (Write)\n## preserved/replay-20260910/\nadapter-baseline-probe.mjs (Write)\n# .worktrees/\n293-census (Read)\n## 293-brain/crates/spt-daemon/src/\nattach.rs (Read)\nbrain.rs (Read)\n## 293-census/\n.git (Read)\nbrainread-smoke.rs (Write)\n### .github/ci/\nbrain-read-audit.py (Write)\n### crates/xtask/src/\nbrainread.rs (Write)\n# C:/Users/decid/AppData/Local/spt-core/adapters/\nomp-spt (Read)\n## _github/\nBigscreenVR-omp-spt (Read)\n### BigscreenVR-omp-spt/\n#### adapter/\nomp-spt.toml (Read)\n#### strings/\nskills (Read)\n##### skills/\n###### commune/\nSKILL.md (Read)\n###### signoff/\nSKILL.md (Read)\n[…23 files elided…]\n</files>",
    "shortSummary": "Remote compaction",
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cHKWUkW6xi5NhQOhHjv5V9UL6cPy3cWp18nruXotbfGbR0oWMqE8bnkFlZFFhD8Nx0Yr82neHGKE2ceMXEm-L2I4frh05R6BlMPqCrzb-KxAmnAjg10XsYAQRx2hRxnv0y1IPhMe71Q-b2YBHXEG484lLtch6KIQHQ9UckC9TXaOTXDPVQkM5pXtHXbOqg-WU5D-9I6YtevYekAwNBgZf2JpdCUXEY7AhusuZvkFDludprNuSYzS0Tgn_Mpfzal9RfVoqFBFB6eUtyoELXx-3W6MeZafOU7CEUgDxGU6NjbtB3vqL7SxkWgxmVxA3SEW9_Uj7gCEuOQAzXt1R2fSYQJ18HbM6lahImY1-TyABgvqG15AedJLEDFB1GMYEfi4bTioz3rBKCengJH7o93BFNNgi38lOmXzAPoVZLiLI4jIe3pl-VptbTL0fhkUX7ONefKQsL9QE0uGnLp2aSY6bBxmvsr6wV-VoXmgFjTdk8yeMWImXkXevihnvE1HbWqCYoVFrayHgKod7yUFtBwxXSsaF1A0-tm-v82b8cvBiAJh2_ddjYNvFmpNYuQpMuvYPTU4QVQqlHWxs7bu34VyaTDJ7D8WxAUjd4LzmXJQqIdr2M-Xkl79tqM00Dg61TgLsmPtwK3ebjIZrlCn6gB9nNt9qSXxfSQx76wol24lz34ydWvhtKAft-W3ZmYEQVpN5a1VZ5-FiDpsuq7pgMg6hsO_Zop-5K1e-4rgdDY148NGL8eAzAiHwJQ09XJFP1RPd-3M3SRvFBrzN9ANoBJoloLsxV297ZVC_j2jaXnHb7Mdzsvfo62MKqdiK1lgeZort4kKzK_OEMQ7XwJgBo3BDmoSAtub5gLBKaUyFzMb7RoWGsVD9OW8y8PERncII42f8ebk-7CHfPYTvR4Yxbknl9ZbZkfIGe2h7TqBF7EjXmR2SvPZiHyqNWRPNXRoDWXulJIXPnK1qyG9lM4KjTZZYdrtJpa4KREaa2W8t3kxcfISaBEVadNv8o20i3hUp7nVGp9Oq1NET-aKgJei0R67cyIMIO7g2P3Ch1kKARlkjICYiLDLYNNjGn2mjYPxKZ2AchnsGf5tIlLhiJlR3XJ04DR4SWW6ZF4X4W8GgxnmkRIfBACx1TlH_hHYB-1jPysrudmrcp54IUjaciwTZ7I5w-l78ftTCadGm_q4JudZN2kDEREpSBYAWqGzJd1I5swRpgA28BTgIOMKs_pZLq83_xtosnvbE7_r5cpWj8EYmluoXbV4mRttNlkcNoa9YVpwQozSx8PUg1Q6WGDYXF_NstpnkobqLbioqmb_UGouecefcWBIwqN6H-VR7qF2R8O0TqrqMJ631uBs-nPEJ73T1UgYk3Yq1qblvOPDEDvc1ASjeRah8LAcq1QmWr9kOXZz96bL8reeWYXg4QircAfqt6wgpQFZKWNAnu2VIww03f0RQqBWM9mg1V3Dv_OhWZpZnGdPAQnoXSvjqjL4qH2BEL2pZ4_1VDAm8Z7NyfZ7vVI0udNDo3L9FMmtB9ItM2iiv94nJY3TzYhSkuvWdS35geGPPkLBTFPi4g8Bd1G6ejlVTXeG6SEb5NqUH5wMVbMWKIwcaq30Lu9Dp9t7oGRqZFUks_u3a5X7QTzrrk7jhiNFa2im6-M9YR4kC9mrJUkONcGN4L7GAx_9-k5pmrS31p8Er2H-fLsphm1yJeJE5DwsVTmC4m1ivVaYpg_yyFqKw6SwJuaItD9qwWhmdX18NdGpUqHnMIedSA6eMTVzBEjSTQnEoavpOOHqXn76N7soIHKmMb_uP2_cPZ39DTZrl_PCfzGUn6VqSNEFXIFnLH53V92npe5uNqt9LWbIjRl5dNwMFZ9dbHkoaAN0oYLDmFBN_QDowuOO7hsxR6Whur_lCZm634kGvNWhnSnrWsq2sQe1dk3liDWH1clLngbpp7xzTmL8--W6b4sUWmuSi49YU_FrWpAWxwapPNevyNNC5MMiJb5NmreO0xJAnGL18O3TR6_VxntLhtu3i42quXvI8UJmvac_DiEDw0OUJ1gMtcZ5V1BGWGFMqajVrouY2I8zznMWqZuvCoxHEyHjPCeXc1aRbgVx-WoCRSJKhZmOhg3HQr7uTGha_GDxSSxODpGLdDnd1SY8WKu2e9YxVx1h4gx3c7Aba0-92UHXjutID-x5vKPcGmiYeeFe-3gb7IG5zjHcuaHUsw76JcFIWy9WIFh5KuVxiR4IF49LbR8xdsRkbJnoMx7CubPf7Y7_LBZfbF_05F-rXXhAwD6gAjbBFbziso5EzQwBq9PdXFgynXk5b5tlTQX0EtMo_BQAhJWVIW60ii4leuI8HtE1dCiq8YGqXxaoAf5VKrBVEDKWAZnEj8KfE7NMyfCbxwM2NhXU4wpbGHdnQlLriuff7DLbnvO9TkoDSH2ozHaB5gC9em8NMlAwjiU_UANker0lDK4qGE69OZZBNy39jLeXIm1vkimAjUo_B48rC2PM0jgOl38wfHDVaw9tiohSdtOP8tRgvS-GVLa-5ISRE_CmMIf8hQ9Rm5-PNUNOGvZRPZuQPeDqcGnTLTxm3c1I2Mj2iB35MrQQo15ijd9fpExNU-VRYOq1OS9wJTymS40MsQtcgz2TK7YGJgUNtilyiwiQ_qwjmrlfhkcoeIAaH6IioDTqvxk85-vbQ_Q5wKfAYVgkjxt2E_nlsS78PO4fqJ60K-VMBhFg3V2QC76qwoIIovjhkMQZDUGTs75sv46d3JSh_tapWSDzxEZ1CI0CodFLghWlXiHRnpEMxQwOFX-d9XlGrKWUeRAXlUPptAfQMUCH0njuPEzBPyxgEeyOTJib53Mn0Cbbi01oSTQ_YnCmnfCjhKa8bO9RENoj5ezWA-wbMiH-JzgqivxOzsGCjWLayP6nCWgyZU-tYam1G_TyiMRWMHvzzaQoeA-BaGW31bbsIhTIdkujUrhNELLfjfCMUZZch7Aq8AsjTssOdGtyl_Tu17g0yo2XNxyZUmE7pRwtiqMdLGbUfNRRS1f24D6tw3YmuJ42g6UiS_fILjWMGsu4qu0wB6d4fb98UPkz8u9jQsjzsv5dAlWCJsEGaYfn4qNFE2Aa8qDHT7Od-v6RWMvEGR1_vWbtF465cH9HDS0BIZBb-urVmomdRdKMjBbJOvMxwBsrNJ7_g8ht2MXadsyimMtvnHCk5WOsXT2DKXhpccEcv8Fjn1y3wVN1pr_OU5-PBD5Gt3_gCDB2ihVQMWRxfwedK8K5Jfh-CLtaez3KIxhwLo1p2R2RjtSrFk3LOMahqUtRT9xhjuxLt5VrbZfzpNckRsCDtXf8pkkJEM5z2ssfYQ4bkHuyMOmXakf9yQdzdks4QHHePK_ru6N93q5eOcFdARbph0QYFX9jPJANzBphHCEVIobHxtBuCieHLMdqZfVWWj_mjDGaEAQNpe3nSxBx-2WAWE_jRa5oZfTty2cmlnoF-XnV7-xKIS-Rzz9LNC9QFU3zC2mvU3BBtvvGwPghco1MQHyT2i--kYB-biqXYlGUk4ICnoxYSaU1Tqd4V71SysTi0RR-RuJDIvoITcoL2g1AJ561ziqDNroAWKVAl1PJfQGhXzTkqFeR0JO0wl9_zfVTvq-zIbQIypZMf8Ize4FRCnghWzISOwSU7Vvtj1n4s7NKY_ncNxk7knRiaJ9HOY4uehDOx63-jA_62MLkIKh9iretV0rQFo4w4AII8g8LcgYzpV23PbCfATsTXm5ZF4AhZygKXw0BbrBOflxT9_jZU-ii1Tu7O5sPLXgZzLpckdbI2mQJHccJk6-uuc2Z_D3uJVEaMJ-Fli-FoMZpE5m4iUW9xgxgm3FWlpp-RuCIRy4ljdL_6CQqaGCTl7DM7rprcm6BKgIO5oFvJ0yuvovS735643H5Af4wE-nKnzn_PgGKgCiLCoOGIAGCa3hjJReLUpHd2KYJjPbX8HiLJDOeeVcPX1TM9qxkd7qrbq86OcTRgctBwnydUxHCatZEw1Aqpx5ZnF4CYGbY7PT6Dyu1Are61duSeDAT7uY8H1rJqPonBxXcWFnRE29mvDuwsuUYL1FTacgIQ4ijVsWmxPz22gWuHF8rL2qYJ6cvcwwiP8ajpfWQhm_KLDMrGOFCZB8iY8iHuEK3-Zm03-ezfJ5RETVMEt4bPtI8oBYhveYKhvW995FP3coAkR-a2ThbhMqWH70rQhAWMKZQi_XLvUABhys2NWbEgAP7xFxN_kduucOKOuua4ivoutSrs7Y1ygn26X3thuc-25EGicQM2PCZxgieT0UJyZlFRCw-FHs1NewvOkwLuiQgnvUB7N4QCVv5mn_D-5pPKRlWxydvdhrFL2gRQ46fw5hrdqjexLafjtT17aCWqXqwSYSwUC7GZ-m8D8VZQ3o_XgsmmO_6i-JIfNZVSI4pCdWeO9aOF_zAkQ5dLq-hQMPYHj75DbqlGW1y_gIbGpH5ENXYykFdqd1_wbVnnqhUcrnY_oOH10BqtSzwgVHyYaXQcaWSpQofFRffWoBWJHVDTxxRT2neeHeO8g5NGLYSzVGnV9ILL3h9OrhL9UV1kLso4WA8QUHw3CAgyrSfGVZTvDZNS76V4iJG-nCKkW7w263P4e-iHfMlYWNXt7JJ-3CJUKNMOWO_ne8qf_gkJl2SVzrHEiiK-qNGdry9iGJQQbTAN2U9syN4vwxcar83zXzvBcY2Pu5-zAhsW2ZvDsmWry40RV1lckpoS_lweATdlz0T4r61-NTqCgt82hNsQAk12wfvJYv42F2lfZ_4gjOPWnc5op7Q-UXl-9lTacNDxob_8FMNwfvlDec0PD5b9b21VmpggYVnvfuvPEPBvgO0aXjhi3HtWMZfUbppr_wzr83hajXK3gbpPgSiVaBuIWO3-1MAaPWSTqIoPLdADxwHMKV6Go9Im77r2k6EG2GF_5esFombQlLdc8Jw7Q_z6dTK223p_cM6grWTJwrxg-rq2Dn62IoP__K1LW5L4A3QBSYxIUxUH_0-Ng0M8KpLGKhmqTPiiiIECkD5msnT59CaDYGTAHu_O8pTSJjAVNfbrh8z7VEvL69WNiR2qevPaDZozVRebhsZtHQUSj5T18r65bugsXg5r1MsyT0uVMpnPl0fDTqlTvzBJQuqtdIHOGyM9oUJH19uNHe4tQ91GpL8nQbqbjCOJW9R5QiXxmT9T7dbmh772GGXCrWQVA4ErVv9EAbgRHTFHhIe5YK5DdwUeALo4cMoX1RbmjHVLjVYiErVtnqlLgzKq6j5JQ2OSRJFv8IfTqehvyHkQHaJK8i9VvL0onbDmTJYL1jh85J5bPsnJWkW4092Nk25vYz46OgZv6TCRn_m-sTMpx8HElH1kzkssfTIVCnYt1vFatClZo48o3D2jzwU0uAXhEwnd9dSrAcwSIP_GFJPNOZLygUH4eEuAc6wEtZUP6W9QG0359vEqolLTVUEZF2OIHbW4D2OWqgM1W2umjNBCayiH68q4HfQ-WqbX7TJfQHYiYQlxq6vdqyH-6rA5IziHmhYBlhLrJIEU1kED5TlgNE6b9q3MftOlbJS-PFrHFoOBtXw3cbORDnW-xgV1tmQOktRY003z8I7fgbbwx8RDKHzSSLUfIGWvAu2Jf70OJ-e2jdlH9Q72TIkiOfl2Cz-mn9dhycAYnfpNWQX4rRxQlAVxeKksnGeRlhZ-8yBOUMJIqfP1lofd6UeVa1mDmdJobSg0_-Wgc6CcrpmXusPhX1hYHobE5YPNw4aeEO49RPuao8mzSmRfYuufKsX5ng59CNMBAksYQWCOesUn-qXtlDzMLZZrKUOQNKcytLxUfZF1TA3__RaYUmV0rO_0d7INZwdVhBlSNxjxsfzmhJBo1nJ6sIrUEO3IWP3fbhysyfCKw1sJiEp3w2bft-Zr0oLBUc2nzed95-PRvAvS4SMkCeWlEKjZlgqkPlK00LHmNoUle2Wo0zZ9VuVcqkZJjwsO548e4Gjs9BEb5r9Cyw_mV2Z7iTNjeko-HAW0tE2x59fNHc61_uOlgX5VjfwXpFIKB33hsUKFVv2XSNLBuqQnQUu5Um64pG0D9y8ybU9_tPmjK61vAURU32cBNhoJrfc6bVmBkTCvLNewzMyJ7UteKQ1MOs3gbFA5BkrjOOdHHyZ0zV1RLDUORa5Rw27HM5EDToaIc6DhGHG_oQwcz2k_OPd0DVIgcWFZ1SyDFivqaEb2ZiQ9C0SjWGnAl4CIWc7vAOd32dDyS6obYVByzon0n0UQoqHGsfzjp1uqR-3odnk5VEgKt0t58hK83V4TkhIImLiHokhfInbyMNxRQM2_XKkyca5pzfhdQmWSojOQUSd2tBOR7F7_ZOBeGjwyAN4hLB2hSOElGdH4qdLgadQ0EhcbnKrAmVUChmpHPEGvOViKmyOs2Q5uTgZVZUfrwOu-Tiwgf3Qe0LMQe5qXqt0b6_-XiRLkgdOM69UYYJmpl5-ekUp6LRqd2Gc_xYwWp8EV_TLgEGGYs-eJOkEdcH5avXmfcFuJCfR5L5NtTj0JihZJt5zQrbaQ0Vj_W_gMGuznvb8GPX9XsGnFnwwiflDC-jjkSHx1lJHvvpySlS0rRoS-4iTydOZs2weuz7e4a-FRCvYQQYUBR-RcD89rgXavtrVcsj-7KvQKgCa03a9iK_lZrXxjd1hWORJ6JysZHTxklP7kQwTRaLqlNEGtj_gyCzti8ze1fC1KtzHLoLbpEaD6uky1gLgpCdzARd4BVVxidbd6oOPHokfNWyKPqV3jwShnasxhiJttFFtvuniYyvu5Ka1h8sz4US7zgpMH-OKtIfTdBrb-m2hQPAIqKxFOEjgTOZAXQ-HYr5XQgwhidkHMYpJiC9vc76vZA26AYoO9saJnUAfv9SJ78GQC83TVDA86QfQChJuKix_fNgv1sit9hDyPROIgRdfZ2h71DgO7Myz3011ZKGDjWQX0HyjEGhmDqIoS9pntdh7jpVUldzMGsroeKxfYFuWAnAQoYdpYfKC5uqPPnY9iGQlmnDK3etpHXsbm6pZ6ntm1pvst1lv6kWMVN5CmvNabV_9__wykKlnxCSY_VTlE-IddRhbUgeMEKBTbbghfzzmyqJhsuJAxrLrq1pU4-5wlQPr4uxPA7FCSshhczLBRozaw7KcFC0btGt4AgCaErDLFTI42kEDX10NU9B1vd8p6LWBrrYoCr2uu7fzCv4cDxkK1HFRz-TiByGC0ljZ58MvFb0_OP3SfOo3gAkjJXTOS--k_4QmIoDYpB0ILSHr0p5YYfl625qiTG1s8LApnyV5w9TEzuDO52LAdWbLec0LBVAigh-BKpz9MS5S3VH8vb1QkCXN1PfOLn6M1i0_spCTkameRIldVckMx_ragPeFBzuC4cTnRcqkKlND6eVIv2M1omAwWPsLOu8oyh3pW4T2NNNkcx3ghXrwe7oXEmb0UpVAXAepLZmaeXrsqDND6szIe14UqnfsiqSzHge_vn5rvYYq-GLhkd-n4tDLGWQgsYsOJwwZjUjiqc8oqx8rS2X-wCbp3KcnNQcsEe_zvO4b7Ve9ONjugTap6JhsK_dvz4vaqH6hetih22U-pnaTNEk9mYCZl4mIKQKsvRrNpc9gnq3I1_qa0caRlsuWzdKi2xDllP78ZanSfkJQHSp2WrjJdif6g8Jz8C-SCwUZ87FSktcJbmC6ptlzX0pZyFk3AtQT2qBWR3AT0RBFhJZtZzJQBGPLOCMhMLHYniqnNbqVvvfcTJzxLREGrfYjBOVcLG68xp3Mr-zCnd-iIUncZ15TDfiVgN8z9LlHGGWzzfjzBJZY1hZQIdG0hJ3BYXaHzmfp-Rjeqo5VN6ZuBsKqJUBOA3jPzd4mAl6XpkkFR0y_-J4wGGUAFi6AuM2yKYeZFVN8YOSdef45iFIDsRJiiHLR1TKAUqfEly9Z2S3TnrhO2DceyAlORvgoP-_ioEfJtQGM8I-4MnPSaREDNCC3Dug4u1x9rwhcEnieVN8vYdTNBs46wh4_HVat5__tMyQiH6RFdDvoyhCW-PWSJVdJMm5kmunAUQrAfYuyNFwJfoNWpk-jADoXn3iSGGIkh3sYZGNrn-_EWTxMZKovgCUygKNEyFoOovHJCVnBXsm6gOvl_1GiAB18feyS5NphOveblbYrTbiuea79tQjpsyel6ZbwSnNd8qUgcXzMjIyWdMqexeB_w--EEoZl6YGnLY8Yy2N4mPJ5t7QZuIL74q06_zXQC5my35kBLO3t_2zfnJjdl0keXPJUxllMTlJ6i3yiFVXDEQEmUH8BhrYJoqJshfCdPJw73xled-AzkJr1T-NFTSivVd5ih88ElhBIu_CWmrOBRMcQK6SkWdtD_KV8lVkqcv55boCTXkMVn9R6SeTwj6TgucMe8nQ9IRG3f55V-cEpbCx8OxnNYUE3cWAeBaNhn9hAC8Ef8bsTEjr3wUWc3Ky1hsFWVWsI5xjEyuBmDm9TBE1Wba6WFn3jygQP960kbjEHZFrZsc-RNs-oK6RrUxJcgGJGCQUqproe9sUfrdH9B52ksW4UsrfCZ7Ogs6mG2rHRaHYbPf5c_zBwnYQA_mFBvCqgDnb_h3LCd5pssQ1CIX3mSs_-qhsfOzvcSgEGz_pm-0-2HhpZhHOrBZGQHy9uOtwTBfHfbhepwW1c1yPsb6oYVvQaDl65DAbi8i8AOoz1JkOI39BX26X7YEXmHe-sThTKvdkPDyAsKN6y34bp3cgzyP3uexLl-4EJ5YElSZA-G6gCGMu9Q_UxzZZIH-csNxjN95_vHbEuPqXrfe-cxDas_rvZt_wqDo7k1Z0L68lbjDJjPYxiENyVua5d8BSC9lWnyVaagpzeahMRqHKC84AdWaUm965yYLgounMiuHnvXddi9D5a0dbHNI8hgYrXgNrE34CS4rXlfkVFGGCa5V8Jmih7VRdbJVZTqRcwCkZ9VNf-kZinUg1yCw8zj1iR7eNyAQY2sxV2J2bd-96woFEdwOUychNDj8cHCSEAVUKn8NIEjaGI3eZdHpSae1bu6fGiNsx_-4cP8ZT0Inr3F21uBtqaUmtSH8FMemFd39gosF2ZaN4fC0Ji5nvq2Cn4pjQgZ5phA0e7D2U_-dkAe3mJykKLc8yd-lSReDrGpHbMfBiM95Kriag4RoqXORmPvUiQnRHLdptMJhBMuv-c_zyeOqUHykqrryB0aNZ3b2bgBWw9j4073I5lutfAtEGph0Qp6uoSHPfLpctIZy88zjEypGhSwskpfh1vEyO8557h3PFOON2hOxshN6CHZE2D7chRjsLecrp4-cDtSXaIiLUWXL-WG8hvaiEw1ae6WYvr0kuCXbpd0y0_6SL0gylqxvmIt20UP5TgDeQ8qIpj2xmPuyIuAc9eaCm1lnVbH0uKHJwLBbCc9vpj-lnfFz8MChqDvIY6pmtAm73wltu3ymUW4vhCukKcVghUZfhg6CTdRnW7icEeEXsEfXo7chhs-JCtrPdDLCew-RcZikeYkKuLCYcM0hIpel1mQxAlDRIQYIiOuem7fS21UXP6t-9caxE8uryEgccqaqf9HoOhhBMfae9dwBj5-sbP_nTVdjvFFDFX5ZJ2MMIiIIEHPpP4g_vZuA7L9zeVex8eOypiClFV67k7ydQ2J6-brJZNJLxGBId5j13O0bsU2r-v78it5Y-njXSKqeDMDoTYmfQZqpvUzzThfbetPUkG_h5e8R3kUgs53vG7p92_irCnNQ-rDC9RkRyBI9Z24SzngHQO-C4phijpc5aYKC-kd4HyZyrhcuvW6UOQUZ8442RL2xRCH5Trb0QyqiBbDZ8JIvmyFDhXeAhmhPxL85auQHSaeAAkh0bQz4YvvB8JrVHIpDgGVBxnNZSHF44PU8vUd4lD7YrpUSoWFLd1qIPiPp6dvsrdBq9on0h-NICzHmrzzAb3fV3HHvX-VuZfdAQbWC2aRa0s4-3DRMI2YDZRE9pla8u5MrTssF1wRF7SI61zRb1bMo6pRm60UsmlM2yhKv7kz8Vm5DEPXqDWiHPL_oyS1GbO8WqQFvesorFxlta_nvqyQv6F-r5vRjN34WH240U7PKRuTtvQ-OkkCUiR_7lfq_PERSTVeVo0ui74q1mMBfkG1eSHMq27TbNe23IzDNXwce_e38lUgh1U4DHnks2W3Z3f8Fz7v2xj_WL_zJ7zUBUcv96V-RINqPUuNQ0BGsp-beL9j1JMterti3LS3p2HUjkXKoeRPfSdmRorv-lwmYsoDISyelia14V8tj89VHHrphUUbW1lFNUtEfN-FcpgGFDlsIDq80W-gt294ME5qHk8QEhXB0QTAp14Su9NcniijQa-pHEaqFnyC5rpLo3AV7TCDs-YvsubuP_3JDvtaRhbzSx0LnQvJ9XZ8OAmSb7SaLMYCMPoKOVI3olklxeEBzQaYDBLYRTL3jVBiqeqnXi7L4vn_LLag2b6NRGtAVzCxlhv564rTAzMgxC9S9ym3w0-4TEgdrJHZ0CCGc3Lf-Fo2QoxWFJUSUPZ3JPr9apV4js3Zl1DY2wz1B_2NzhsbU22R6D9K0jYt4bl7MCEzdKHFw6prM_rzvJwJ0qOvZlrDs9qj2McoINZUOF5GrBn6WE6LPz8-ORyMQjaBpgVemB8X9Zk9t2XCULHcvRpbhwYujq3np_5pNU32Ygno2jZVnbPPIcXV-Xrm3MnZAvrt6-qHcAm6TUffKz8-azq1pagBT_p6Ed07a33_zgC9GIGIoObhO_QjZ-cfudWacvZquo81KofToVBGFCnd582BJm__k40T4pRWz1pqfVfFiRkYI1R-EhGlvM5Q_XTED4bFvhD-0jfx2AoCMKmfvj2vRcYbP07royDhUo09KJkTDRUOegOIgTzmdAlJPSF5PM7xgPUVaPDFBgmF2KecNV40PiNLJTcV3EZ_mCFT_70iJBoWPAPnrvpxWtGHq1v76TsNxZF5XvJGKcenwf98LCCiHirYPwr3ZgRHF8fl4ChhA0EwjztUI-MWR8T0Sfcl7xMRVPCU6ob4Jl7BPYFdbY2IDYBmUG7TfvESwdwmkjk10hrB-fZ4fX-9yqYmH09v-6byyi55qQv4Gg5DGSq1UN2j9p4kcqR-_PKzTd9ZKos0HknQB7HE3SYktNOMeb11DJdfYWKVmSMV3DBSTBu_5Nb1SJQcK05jZ0EykFmnkLswDU23x_HOZrCcnBXXCSbzepjhNwOXCd8fVbMk7aeBHeh5nv80MwB36_DAsVszcrLQH-2UPMTNDfOYNAtve0mALqVQsc6zb2KXn8ClyPyI-jYCYuV4U3IYfJJ5jopcSVsheiIU_owVgwyjK8Moete3p2q2jYbt5YMrLBFnyEZt8BizPCPYwjaFzgyjrnsBQpSVvvX6LnFI31sSOOXKlD-03mzkpkKVY6qPoE6KSVGegHiY00yvn9CbN3DsifdM8VMeaUys4c696rOxmjRhAaZJmWrLA2duG3oS8S-88WdHOxT9yQZKo8agcUBc0wjhwlhYBiRobDhSWospe96XdNex3mpNt0MOKRRcOvfF4PEnqXLMBWwR5NlWiuIQ9S27Eqm65smSM-EmBRvR31gR8ay_1sVk8PfQEhRUHJRXBQZbXfarfqRrjdbEShy72t46Xon-qsONaKsNI2fv3d1YiqsN9JWknWBpmo1ZizWfPev0hIMLLgv3C0bxfd1jK6iVEThczYURzlT5iDnSpkT6pwTphOkjd_i84mOZTpFjb7U9U9OzZqPV2OcDcZo98y9HVY0BQ9l1PE8zscHQcXpN7DFG8F4VXYEXJlVZFvRlNohSXgA1xC8fg9k5iR_u-nxX6IntqUx71nMbSdQm4lSF9lchHwzJ-gfweS_NXoZEVpMxg_TznjZlH0vBgUhQUkDhcT5Sff5HtD30F2GuKDs6rkGgnL7Z4JgNy7FscJ48ZMMyBWNu35NgKP9lYAQh0U4w1Z-WuGrgiqHrymZzoMb4y8hDiB_W_ZFNNMPDLlL1C3rGRzpuNvK5xtB8pwNzfx1rFO_9zeBAiucz3C1eygl1JpbX2KvKdxxKrWNynOT6za4KTPYT55GKhJ-BsRyvMRNfFOqwVoQoq90lFuk03y3coYyRQmFFXCOcvMoVhHNC9FGF0CjUAFE1z_wHXwZUmE7NWfTL32vSnCjLij1ymLa1tzMJTdtj3QlV6_ydZ1AwBCyQ4wu1g0q66D0qfc2jE4syqmj23gZooi4wAMQ8iWLyDmXaAn_E-dw3VsodkOWRB_TeJmI-KIc_BbqbVtogd3Vv_e3bYeiEh5xrJCBGuvsCPr9Y4-j8izcDbLOfx9_CFVp81XxnUWpqGX8L4qC5aEFy2yLE3JWi-5bd4f-CoHTfKHdeMYuMLOiuUS0GpESqvlrhQyE8B8TKWL5YaPB9gpQrHU8JCpsQFkjCqedsJANSlbYSJli05LlgaVLs_9odyTmn8xYD_eLaSsz7tnXaBRVU_p92RsfbBX7c-cVExJ1hQDT1h-2XcA4L7TyWkZc3mJTQUVT1wsE_fdil96SeyvzItV80WXLApOI839baS4Ha7i5WIRRyJNPkhDgdi8Zsr6h3tinLg6nLgbV6WDMbICSaWqN76ngLbHIrrSImpX9JISFLDp6sVY2LpiEMSiPVgQiJs7WHN9hpwjbms5PcwvR8NHLKLc_lK2ygPXIyy8fokTe6AZjxqTnpWkzIGjUFmXHsrRhADL25NDVjomOjdvrmky-k38dNIqTACbh0Z8OhdxJQBd0DeC9lo8KhLlwWr-tsPwaf8w7J5NM7KAiB8q_b63Gba_zK8G9ASJ0hw8aSc_unlVAXLplUZ0lJYRO-sMvSTHxF3PspjURXZoZAAeKt3ZDbIbMblRTs70egQMIfGgYHCXI-k_Fb3q5xiyZvu6M3Cumqb9fuba-TBx28emk02OdzGBiE9n2AuLtXUj_ZQcRKvOnfQv6cnGVe8GI1tk_CqAmakCPqHB5xe5kyuSwB6OHgIwvW275-33656QpJXxRrPqK6rEQ3theie-vDMZpyErfTX-V6Zi8V-lgFUPswreu-B-0Vno2bZB60n6Y7ilygco0QTbWUbqAZCfDRCfeGRk1CpKkR8mApoeBKwxQ9PcCUakGLtKO-0w3d6ZN6-NS8pbbsLroEisXjyhAA8InIhes77PjZscvvf1COJajP35HrCsi66ksOSHCt8tNc5xFHl5iBHnSepLz77durj3t0sG7NisPzg7oG3R0Uxd505IhUcSOA-sXigoVEXI-LTXp1tIrDNPcqe9i0QhtCfvgmu8efX73CtGpc0rQ0xjXMoENO00jGNdC_-cWm9PAAupAXDQXK1WdlQNUTd8dvsi60jUfLfhef2qk-iJEODQkJ64JuFHh8yRzG1IOO7tFNumjXUuDvnjxNMoEseBKza1_Jj90diaD4gmX7dIpiTpuhgmcpCBrxBZvstfpd72konRIL5I7M7_GwBbswcS_HE_cYoFPzafML3vTqbAzVtpJNMezAWE1nkMJSEw9T5t1o4u9XWwEDq1kbWYDF8TRg8EcLgE3UKnGagHdZcZHE2FE70LrUBfOjX3YjUKGkSvLjWHLQsa_vweQsQqi9bl0jk39kxFXS7U6LYK-ot7IyLlqi7SRNMYMAHvDYQHEkQEk4JswjDqwnwitWkqu2sWmLCCrPafzHzWvVoOc9rm5uN8T1lcE71LtBkM0LOgwTYbthoDVjReQt34a0O6EgmMZq2UkCfaamGt7Sz3QSA_9qewMwVuekwWBG2vK7EIUEEg3Bx5gWR9rI3SuF_JrmVtDS6S8Je8_837JqWNqGoMa492rXyZZqN8W9JJEYW1rhhYQHsCHBzLQM4_xVtRHDei9nm8dzjZJT61WKTk05VOV0mUJTHLW4IhZbwHVQtJ3DqpNeUQnNS7_g8oWMu7krghjfjsVPrKDdjRdBplROXkrDmPl1o3VJiDNOuPK1SICZ_epiykOguX4WJsBYvwJK_FStBSby3vcscKpo7ylxtHsR0Dny4PMO7zZKFxIrd18WslMxF-2EsN8uUVnqfGZ4iLu7Gv_Pq1CgvKPrYLow7lguoPQSoVEn0xwcvqnZOS6r50saUQbG8AHwZ0dJP5BZXlDVnqsRSoLbv9YNrgWN-du_xNOCUpmuI1KARFI-a9wflTHa_5Vo4ujoCnfSFCZpchqh80iLnjCKhm9sw3oJvrp4dszer42PIC5rm2GxL1OID8IjiRqXiDzOT3tRDshsTa00i1N55ofiz-S4BQ8u_iulYMCa1UfBLTznKPXEOl7O_m-VaC_26EypxeOgvP6lP-Kzifdprios3_Bh15d71cWP_iLM6DIq3w8yTagXe_gKILsPbswO3gNdKhqykmymqgmu3Bmh3cUECW35j8Cgayzzc50pv7kc12609CehG2SNbFBpD7IhGivIeC97xJsbuA2KTj83gQ5QZ9KknJjFbGZhzT-Zz6248sxucuZ5X6i9TmA5AddZx9g18uXYE5vGOO5CV2MOpFH3s6QfR8zDA3EpVbwDur6EhUkSDxeNwjaFr4E6KXnGJIXKSHbo3D8_pZOv00yXnb008nODh2VBKirJ5XaTY-IKVN8Z5phvxi9nzTa7_ihqw72H6_ibVu1YS_qardRSHcI9rRHK8TvRkcJCF_k5z4Qw8WiUpudWe2u168BrbrkyHYwLbRydmtgw7CqLOcZWFQItpy3IG7hw-Os0U9N9j4yteJJfP4tzCaybAFQJPG5fggEKfPMDu07ssIdHF--TW-r5y9fhGKLd0edY3mATapemNr7rH9qc6Fpco46u7if0-IfZDnBSlsCmWTtOY6umms6J94cZHettUszLPshjIkfqo2kBLOUIbUqhPAmfCvc4wSH9yumbK8fdiRGH5c5k5Oe_lyUC3tzFmpLBp1eLENCBX1fhg-kaOqQOBr_thy0xAkFpGnx0dsVy9pVv8lDmUTqpCO0XLD1ZRCrzu4PNzyTMCd5bQp7IqBeG_fxYiHNbfGE6zt7p7bUKSCHvkKhWI2m1EK2F7Q4sPcH9lX5v8p7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            "internal_chat_message_metadata_passthrough": {
              "turn_id": "d9ebaa17-a7bf-4757-8a35-849be68f3d51"
            },
            "metadata": {
              "turn_id": "d9ebaa17-a7bf-4757-8a35-849be68f3d51"
            }
          }
        ],
        "usedTokens": 72361,
        "usage": {
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          "outputTokens": 3690,
          "totalTokens": 76051,
          "cachedInputTokens": 0,
          "reasoningOutputTokens": 0
        },
        "retainedImageCount": 0
      }
    }
  },
  {
    "type": "custom_message",
    "customType": "omp-spt-checkpoint-wake",
    "content": "Continue the authorised omp-spt 0.9.1 field acceptance from .spt/hertz-commune.md. Verify native compaction committed; compare post-wake sender events against hertz-pre-arm.json head2024 and hertz-marker-baseline.json head2029. Pre-arm marker exists at AGENT_OUTPUT2026 and MSG_OUT2027. Emit one new post-wake marker, verify exactly-once dispatch, and report exact sequence evidence to emphasys. Keep lifecycle extension-owned.",
    "display": true,
    "attribution": "user",
    "id": "6ad7d67f",
    "parentId": "064cb675",
    "timestamp": "2026-09-10T01:23:25.877Z"
  },
  {
    "type": "message",
    "id": "f022aba3",
    "parentId": "6ad7d67f",
    "timestamp": "2026-09-10T01:23:26.863Z",
    "message": {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "<msg from=\"deployah\"/>"
        }
      ],
      "steering": true,
      "attribution": "user",
      "timestamp": 1789003405878
    }
  }
]