interactions: - request: body: '{"input": ["test value test value test value test value test value test value test value test value test value test value test value test value test value test value test value test value test value test value"], "model": "text-embedding-ada-002", "encoding_format": "base64"}' headers: accept: - application/json accept-encoding: - gzip, deflate connection: - keep-alive content-length: - '292' content-type: - application/json host: - api.openai.com user-agent: - OpenAI/Python 1.35.10 x-stainless-arch: - arm64 x-stainless-async: - 'false' x-stainless-lang: - python x-stainless-os: - MacOS x-stainless-package-version: - 1.35.10 x-stainless-runtime: - CPython x-stainless-runtime-version: - 3.11.7 method: POST uri: https://api.openai.com/v1/embeddings response: body: string: !!binary | H4sIAAAAAAAAA1SXya6zypKF5/cpfp0pJdnGhgzOjM6AAWdiwF2NAGMMGGy6JMn78ld7n1KVasIg WUpC0Xyx+Pe//vz565NWeTb+9fefv97lMP71Xz9nj2RM/vr7z3//68+fP3/+/fv8f8q8SfPHo2yL X/nvy7J95Oyvv/+s//fk/0R///lr/XoH9NAniUEfqIshdtmIO7GvU16cEcBHybJpkwZtv1gmwoDU cPur92iMr2vUZ/0DC59+9Eb9oIQ7Xd7rWMArhc+Pep/AbipEYqcwe7NK0hx9XelB3Yd67EWIjyVy NVmnmvTJvakVbgNU5zOhJ1F6RwzdpRmdZvdOyIov/TRAPyFrKXLqPFJSsUM4x6hr9ibVWX71Jtun AIueEIqN5mGMz6taANknOiHD/Y5muTUnUEp9O0mOvUmLer3BCotFf1qjeOEz9qUBrpqDyF59YG8z q5UOXBNWRD+bdsXWwyaAuLnVxLm6rJqPn10IHW8banrP0OPZtRCU9WibWLhqOKKbULtAo4wHeqj1 E1/aIVBhe92meDmbbcUvGAHEu/uJertPXjGkjCbUOGvxzklUxJfDLoP8Jc9T216+3lAm0gBy//1O si006Zyppo427tcmbnn4VItMBVWuN4aGxfnDPZpeQxlcg494px90PhOdr9EF3piYp3k2JtD9NQzv 9ZVoh7NerfOElDBN5ZNaaePxOZQ8AeF3pGLUFG9vfg3DBab1aovpcJdQPbzYIA+ni49Z+/TThV29 BMmIukQdE8vjzqEQoA1DkWh1S6JF+hwCaO8XlRjFukbjtPu4yDcqdfqk3gHRdF8EyihJIXWv2zDi 0bq7yNtNmk/yyqP9Eu+OOVhb/TuxhSjRUt6vppSkwkLMaKVE9L73XThqTk3IfvJTZqQbgD1ONOqW B6f/yZcKxubQEk9Lz2l3n9gC30sZE+2iBNVP/DeULb5A99uvwOkDlRf4fp7FpOSDns7nx7eAazYE eH7fzj1DdzbDK5pO+LUQJX1fygOGTnTeVMXvFA0aeRVg+kFItecjRUvXxQCqzwfiOEnBmfbmohw7 Ox2/lUz33t6ARCjc6krcLW89br3vGcSOrFMj7Q/V9r43HSi0SsNyICjedNJogPROe1G/FXyD9w9d VbR2FZHjK009ft/7Dorqy4Vo3U3j4mQ29W/9KEaZaPC2OQ/wJNlC9d3N5NNzDMWV7xgehuNaj5iY 3gaUhTYQe4uBD1m1iqE0jgXZR3jrzeKHDSBYdTUpzb4ylkCSc3j7pkf1ZrIMSgYvgY02hERlkuTN z/pbouewisnRlgvE9uoxQ9ZS5tQVezNixVfDsA/l4wTJ+c2p6Qgz0odOm4qduzUW69OU0DPiTm3u nzlVbqMPq9fikqS4XTx2vlIMRtFnU/kzr7z3tFjZS/f973z1/LS2fIBDQrDym5+jeAiA2KeR2JWg 9oto9AvYdTNQa7nvq2VjPCbUSFiYhqBCHm3ihyodr29EjX5fVgvMiQtfZKqE3IrxZ75vOnxp0VFf T7X+s7kwHe7n253GbKj5sEVqjqIbfRJvYJXB9XBqUH7b3amjFdwbnbAMgWzz4B8ecM2V1mCnzZlY xtD2vKKrDBF9axA9ArPnp5v9kWMuWT+8U7zBeO0CuHz2xvQVuYyo2swJkvc4xOyn/ov/LHaKYbc1 MWV/9ui1VxvQHX1NDsFhz/mPHljDb3jnfrHBlbUkovqaC1PxvY+os0zuQ9G4GDeJknn0Tm4mnFnR YWH1mKIlTVqAEcuY+vOTosU7YxkqScioPqxqj8n3fpL0zedGky1vDdrGvQnGPChTUTkUTavsckNI ukzEV7VnxNBmF0O4BA5R18tUdY9BGKTJvq+pS66tMazlSwinsL4QFemx9xPvGoTY3lNrOBTGWLHE gnS2CRafrel91fd7Bvk+PGjGrwMarO7goE+dWxjB94K+TGUm9LsgpuFeExCXhe8HRY9jRw+5JFY/ /J1A2rgMw9ei3nw7jAt6prpDNcb0ajD5TgCwNgHV50sc8SVlrhJ5QU7dvfVNuRm5E9za9YX68V6N FvmhxOgZCQL1xt2xmoNdK4J0r2RqV0LRz/6nxGiUUIhpK00pvSpaKB20XiDaWvukfG23FxA+74B6 N0z+p5+70cFYijSdJ1c1v8FZ1DeEPD5BP16/G4DkfufEnNxnxbyEu+hmjzFVramIBs+3S/jtRyvA Vc9vF3GG9h6rWCLPR8X0+OAj8Rb75BmoZcVWayNGWT1kRM8en/SffvZl+06dV9bypi19C76VcsaS p7oVO7+4A69oONEHyw20PZVRDa/NJEyr590w+FHUQgW/TypefvOnqeMOXbqPPq2CXEmHY17HIBXv PXF2Y5ZSduhu8G5tgt/N14lEItU3+K2XVz4HNKLNHCuXpzUQw5HVfhGaLICQ9i2xxN2uYmZm6tCW 8ZVcibyqmCBoGLZDamNuBrtqZqblgm2bLjEEAVfUtxFAYzszscj+k7Jv7hRwuBw7qsP2yhcNLAfd jOOBWNvXJ2JTaDfwLluTavnqZSz9rYvBflQvovauGoliezVBaZ4v/NJA411+OGX/7OsqjrRoVtqP KD/lhzhxm71TxpN1A+1K3OGNlH75vDF3MXSfziAO7qxocWQlRF6j50Tfd1M1kZYt0F6YNknCpk/5 oBkZ/PgtYnRZyHmyD330ux/NNpmqqtatEHr/DfTX7/AffiNyWA/EMU77fr7SOQBjnhTi5fm64mNk OhDq+zcxvvFszKezXgMcboQQHlJvri0qo2508bR9WVXV22nawGYVxMQsQ4/zYLhn0FFDwlxUxHSm 4AVoh5QtPrv7zPjpTwcUVXcJLhNqTEoc1ZA13w/x6cpMt21cmfK+lyuqKuGds1Mf7xQ62YQc63iu 3o9ijiFfpaepy1nhDeWwJPDDF6q/GyOd40eUQ8/nwzRGkVaxcRea8qLcQ7pv1F3fdetih+7+TafH V4q8xf6sawjDg0VUY+PyeesjF5Vd7JFQ+14iKq3JB0a8wxSLMY/GVal/lB++4o1ovFIurx8TrD9d QjTGymqeC3OC1dEFPH7ODl/n6seFXbl6keMNUT7dskqHxdolZP+RsLE0gwaAhehCXf0Y8WnEQ4YU TdrgbSUU1ZyH4Qw0qCfqw0uNuJ1GDYKjnFBLr2vE3WrIEBcbnxzG7onmn30ExxPeU+++0nqxKz8Y jpV3onZQt3xgyzEBMxw7qn8ED/3wJUTOrm+p17a0n53CC2HtmVdqddeNx5AtWagyEgMryDpxFtwz jH79avlujGje5M8JqfKVTiu5p2jI6zQH0Ql66vz63Sb/COh3Hub3bdN/v9G6hrW4T6k/5Nee0akM wOUQEPtlGf2YFBkGc2EeUYfQSOciOdcwnBfxJ56zMf36HWPjtbj58cODEF1VGIT1iNmXhgbvMgS/ 3ydHPjKD1axwEDaCaFQQ1Soe46sI+knzyF7HRT/9+EV03bdvYvzwYbpN/fC73/Gm64r+H171L+9L XaFc8SVuzBneS/fGDTuVnPPVUsKQiSol12tYLXph1+BDd6Pm29MidhCr7je/EzuLlrctzlxAeZMg jLR0EzG8MSeZBbFGLF7MHutmzYfgW+SETK6fLs8xXMMI2Yle72bk9d3U1LDNd29qvMJnxfUJ+YiJ a+nHjyLE212e/N4/LeU4Ir66Hy7gPAaTuOG0jWbv8i3Q8pFsoiaful8YD1RobHf+6e8o4uz0dFAy Kk+qMunuLexqJL98xe0qGCNWMlOF86eIJvm2OqeLfUE7KCzDJ+ZQl96i3ZI1Yg+uUac3N2gonA4Q qTcz0UTpnc7XqPoAue+O9DzITcoG15zhoQfPie30oppt0NYgqa+aOEww+q2zigXw4XMje3fy+HSZ SIOo+jrSw+jvvY1dZzKM7s0gQSGV/bDJnwNI13rCwczEdBi4nIB1yH7/5xZv6crCh1Nclfh8zgHx Jn7osOg3Qq3zpUn/8bdWmCtYjEex4tpOsmBNmhIzxsp+uU9sBqf3G2KxU4lG11kyJVOdmRyOkmps UVDelF2n9tRz1hdvS7dRAy47z9N/AAAA//9Mml3Purq2xe/Xp1j535oVeZOWfaeAyJuUBxA1OTkB RBRQpNAWmuzvvoPPzsm5NSaCnZ1j/Maca6O0am45pqAZrlsjk4PI463fRfAWpVt0bLQqnk+vTADq kwh0J9oRn4jbKRBGlxd1Vn6Op+f9J4OdeTLppRHCmAywHuDD6BjV41gA7G4nKljuBzX3aKg5DJUS WuYqJx2aHYP8+E4EK94i5DjKm5Oz26eQS41PrTF064kola1B75wTLcxNPFd1AuGlTr0AZLcin+/r vAJ68aqCpp9lY76v46e2yk1CncfsGyM67AsoDcKZBr2axcyevRWM5sim37xgziX4AqKLD8hcn7Ax l+t9qd41XSRyfQo5OW/TDA67CI9h9Eq8KVhfOgi2oUyNScjzyR8dBb5BMhLp3PK629+pDXDxuQWr zdHmbMsDBj27yOmJRYTP3jGz4dsJ79TcBcnCl3cTnFV/psfSmGvqiaMNxlV+W/QywES3ugB6o34g innt6il63HX4SasEeUCv+AjRKICFV5AxHNuarIsyg+9R8pBlCi4eV/uVDhVu6KR9bS94wrmcgUvA SmRsJMxJvrOb7/fpvpJveBqLfQkzaS2R4g7zmnY6K+F8VxkNRLGKqda3KkwVt0H7WLYA3xZN+e13 RN2RiuPjVehU+0XyhY+HfDIU96VmOizoteg/OXn+KBmU3wqk29pGnMyfzIbdXb2ibXDYeYO+v71+ 6x8t/M/bMlK1d8p3AaafrcELUITql1fcL4913sS08pY1X/4zqKyty9/3pY/t1WAbw0ghyCUfOU+V gGbRI23hW4oWPyih02TCD9bvyOtYz+fmCgKovv11QNOw8xbeLEBTPu3f/jWsbxtdXfSWaBeAwDQk IYFi532IvHrf8CxOWIdq6XeBcJ0rzIdGmsE+uOzoRTzF4LMOL9vf+2BHOuFDj54rtXrZAXVxZNQi iVADShVYaDd0b8y7V80gv+oORa/Jqym0hicIhsSlvviOMDPOTfo9r4DdD2fMKDQiWHW7DT1OZQ2Y kPYrqK4iB+mNxuvJXwlPeCUZDeraiLxJQ0AFM5LRKJxsBc8NoiE4qbc70WCQcJYpjg1Db5VTO3tm 3qzcaKRiy7fQeeF1yvKbrn792ehnQ06oCXtQH5QAXa11FFPxoF0UBliCvrxJj43dQCPoCdreD+d6 2oh9BJbzD2RhTXG/8YQeKG1VIXt7Yfk0R5sZdrdTRg3ejmDxq4KqOj0kovwp+TgqkQVFdXaCDS9c zJpxW8KlXohcFKDma6xv4V6T6Zef8NwLnQo2sWsi++7rnkx2P084J+cc6UcDxYO2WfIX6KyoKcdq 3Y/zKAF9co/UbJ4TZumuh7BuLyyA/Oxz3Kg/JajU/hrM5XCqB7cLLLhVT5RI4FnVnLUdhIs/RXZq HIzh3DaJ5vzQO/XQiPPx6+9FlTnUsn1u9O7dn2Egpg/kJZKFxVnirnoxkEMtvG0A0S+d8s2Xglm8 o5gE3tmCl5DioF/yzvleWyoEmrShi3+NBZ4WCrTTTg2SI5X5XNcbCwiXZoN8Uz9j2vhRoP2A/kgN aE2Yae9KgEM54oVHU8wX/VC713mi+lsM8efT0gCUZhZQI4kfeSuOXvL1P8h9/+B47sKfEpoHdiB0 NybGxJoyATGidkAXvZEl2ytBRD9v6vfyDrfNKX+CsxrMwYVJFeC8bhWwGg85DUSf1R/5YKmwNi5G sE7uIh6NXIOg8y4BjX8yzD+3dLgAvTceyC2nrTdko+iDR4GtABj+Gyx+ioHbS/KoJXy8GN8ntYJh lHN6WL01PN7UM4Fr6n2QL4XPfPbukQTXa+SSaZ+4OZc1uQB0Wx8pmr2m/rCmTME9hiu6w5VZzw0e BeCN2wM1k88eT0dh1YG9Lgx06c9gukBzgAtf0ttrX3u//vSnaQ2KWBYZ8m7bKpvsXNk0AZqOxfb9 DLWrn+mBUmPRYyevEtTjih3QtTN6j/n+6QW//LDkcR6ILWyCzeado2POB0DeoZeBLUoxtZc8VuLH /AW2mbr76nU9sGmdgHT38qgX7zkY202hqkv+FLy1XWWMi7+Gm3eP0C+vl9mhgtrr9kC7TbfySNE6 EEr7cQhGfdqDxX/O8Gd8KNRf7gNXh24FXl4Pgo1p3bx5yQeAvr+LwTrc6vUvz8ZJKKKD4x0MNgLq gmxTiQG/Dw/OibyvoKdWH1QOwz6flHXlwg3rX9R/ipPB9/GFwe95LudtSCvWBXCpJ2RteZSzV33p 4JLnUnsQ7W9/CeGDO2tqVo9rTh8bLYE3NN6RT9MED6LJUmjpeREAxTX4lO6FBiz1Qb7zhhnDWwev qzL85rVg3IjPSKWDaxCVO3djeb8MLnyEArdyAatX3IJiTdZo0RePTfAnBY+Hz4PN6LcGf3orE5wL EiLkUBNPix7AoAg/hC/1PE2EJYBhwgO1uQax2HmbGQ598qTfvHW6VUoCP1bB0eJncnbyOgFe3CgO fuv1xT49fEmfNeE5/mDGu1MDUJDKi786cJbsLAGKqX9DP+srq/n2pVygWyuUXpfnoz0hDbSc8oW8 KZSMz7WPTPhWJkLtUPU9McSBpG4GN0OeNm3qX71kAnWXPB/zeelPoK6gRa0WzblwdYAE2cE7ILSc v0RnoIKlnyC3/3AwwE1caMfMVtHR0Q0uFe1uBffhKUDOXqaYWYDPIMvhjJz06uVcPIgZPMqDFpDy moJvfcFPvT4RWLQYz7rV+eo3H04HZ+vJ99OogOpophS1u5946nVnBZ4nYUvv82edk0T/KWH4vCfI jB86ll9lB8Hid4g2vywsG1uwgl/+PhH947Ee9RDsTvCF0qXefvlmKCkmk7TZ53K4ymww9OmTqMeX gMnxfeph06yrL6+BMXqcdejXnU7d+0bn7KMVLmBy5CB37dGaEcEu4PM8YoTa3ZQ/T69MgguPUWsH TgbDj7qHbVTX5N7PBpD9Wn1C2TiHyD8Kz3iYzMAGK2yjQIvjB57fT9OER5lo1NnSYZkHAOk371/m Twa7jtQF8TSd6XeewS05cuHHAAJFWrOP+Tc/bU/mM4CXJs4nuk2gaq3XJfW3PfJYsfW3cK9LA0JK oWNhBG8X1gc1IMoyf2DqydR/9c9Bd60e4tsx+85rqHVuYyy+3yzRFn4l4CHdPJofA6gQrFWkOt2d mlVDGalzfmmpcbDFegR4yNSX1wHkuW2HubC1O1DMwYo6c/IG1Mr3FayOVoocoTnWw/5OXXB4PRSk C2e/nhd//DsPCAiYMb9y7wL1hzUQ9tq1MS1AEkHgHAf67U+zluQvOLbXA7WvmRxz5hQpiE2UBLOD LTAqYuJrvuIe0aJXmAA11DVHS0/UqfCuni6Xn0xTIxxTr7088yH2fAJvOEmRQZtTzW6SZUE+Wzui xfEOL3lOD406yInaVgp/09xawZdGHbT7EY+cqW9/AIs/+OpTLF2Lyfrmu8gWgk9Ol/wF6vubiPa3 6phPdxVIKqjSC3IFdQLzPthY0O/MgS7+siZAvWwhEFQTBY/pHvOuuEsbeFSyYDL9A2bh5NhwPKtt MAk7O2ZLvqUt/RA5Jtsbv/lcdijf9HDEUc4uu0kH9VXOCCsUN1/6sw+q1BypXpVVPZtzmYDlvpFQ cFaAdOG1gIeD5QYwrHNvuDX7CxTheCLsIs/GmO5hA87t8Ca84H796wfHg2h+86F6PAqrXv3eH8fb 9niKr0qqfqySB5vjZutJYzXa4OA9BeocuqcxKj+Vqp2M1RsdbnsvJ1+/MsCYIHR9KzlbeyyFp0sx oyXPwAv/S9op0W0UFO6nJqvk04Fl3kSm6tB4k5jrHTBP4Yeix/bqMZMr8L/+dVoZNW39LtS++fjB fso5ay+rDkzzMn9I9tt84FUngI1h1Qht6qPB/DKNYNKrFPnL/9H8KKIKPt2toi6Eei5lEfehR7SY +Lv5h/Po+enhMj9B3gFnnE3wmsLxDS2UVvRgsFChErgC8BNcTte1wc7tkKqYzw5F+32BGevDHpB9 0SHvbPmeHPdpBp0kKslTfc/eKKw0CM77tiWfYrepeVq9Xl/9W+bBdi1868GxqU1dSRfwuOJa+OsX PWbHOYll+QL/fLcC/v3X33//z3fD4NXdynZZDBjLafzn/1YF/slu2T+CIP2uIZAhq8o///rvBsKf D+5en/F/x64p38Off/0tw99dgz9jN2bt///8r+Wn/v3XfwAAAP//AwAoZH8C4CAAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - 89de8402cc8ddab1-MIA Connection: - keep-alive Content-Encoding: - gzip Content-Type: - application/json Date: - Thu, 04 Jul 2024 10:43:40 GMT Server: - cloudflare Set-Cookie: - __cf_bm=4yTFGytKZgiKE08enzMel3PhLQLu9mwQY7gk_lH43Bc-1720089820-1.0.1.1-4V06JbYY1zuYkbV7SSudBUPyqHqm6yFze0ufE2rHtJTtOmU.XLh_k1M9h.a.oVJGC44GhO25bv5s5224Ic.p6w; path=/; expires=Thu, 04-Jul-24 11:13:40 GMT; domain=.api.openai.com; HttpOnly; Secure; SameSite=None - _cfuvid=04ERWHryLOXBKqyH.MpOILpw8OtW9Tchzbutsc9OJnE-1720089820726-0.0.1.1-604800000; path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None Transfer-Encoding: - chunked access-control-allow-origin: - '*' alt-svc: - h3=":443"; ma=86400 openai-model: - text-embedding-ada-002 openai-organization: - crewai-iuxna1 openai-processing-ms: - '22' openai-version: - '2020-10-01' strict-transport-security: - max-age=31536000; includeSubDomains x-ratelimit-limit-requests: - '10000' x-ratelimit-limit-tokens: - '10000000' x-ratelimit-remaining-requests: - '9999' x-ratelimit-remaining-tokens: - '9999946' x-ratelimit-reset-requests: - 6ms x-ratelimit-reset-tokens: - 0s x-request-id: - req_49a762eade78fd2313d74a32fa22ead7 status: code: 200 message: OK - request: body: '{"input": ["test value"], "model": "text-embedding-ada-002", "encoding_format": "base64"}' headers: accept: - application/json accept-encoding: - gzip, deflate connection: - keep-alive content-length: - '89' content-type: - application/json cookie: - __cf_bm=4yTFGytKZgiKE08enzMel3PhLQLu9mwQY7gk_lH43Bc-1720089820-1.0.1.1-4V06JbYY1zuYkbV7SSudBUPyqHqm6yFze0ufE2rHtJTtOmU.XLh_k1M9h.a.oVJGC44GhO25bv5s5224Ic.p6w; _cfuvid=04ERWHryLOXBKqyH.MpOILpw8OtW9Tchzbutsc9OJnE-1720089820726-0.0.1.1-604800000 host: - api.openai.com user-agent: - OpenAI/Python 1.35.10 x-stainless-arch: - arm64 x-stainless-async: - 'false' x-stainless-lang: - python x-stainless-os: - MacOS x-stainless-package-version: - 1.35.10 x-stainless-runtime: - CPython x-stainless-runtime-version: - 3.11.7 method: POST uri: https://api.openai.com/v1/embeddings response: body: string: !!binary | H4sIAAAAAAAAA1R6WbO6Orvn/fsp/rVv7bdkTth3zDKZIKgLu7q6QBFBERkSIKfOdz+Fa/fp7ptV JeAiJs/zm5L/+NefP3+1eV1cx7/+/vPXqxrGv/7Heu2Wjdlff//5n//68+fPn//4/v3/niyavLjd qnf5ffx7s3rfivmvv/9w/33l/z7095+/GpyZFHdumi+T7J9BWuUz2eglAVNAwACtq4mol9gfMC8P L4b7bksoTj4NIKfmJMFNq2gEdsM7n+/7pAKXnMuwr+zfbAmzSIGHUogxqi+nfj7co6MUmFtAiuLO 9Yv9Ua7gGt41GjyUCCz5Q5LgDZdXelGWhY33exkC5zUF+JhPJmBjV8ZqPhshdVmD626vcRY47/YH Gj5OLzA9iBGpQ15fCZxKrx7zJL7CVORFbDRcDVizzARytmVQbV6u5tQgUsH80HAUx2ZSL71zucJR SUOknoUJsOLYGtDX4w2aBgmYwzV7pvDAA5ksD6ViLCj3sWKm24Xun5bbT9pLRyp5ygrWdzcuGM/l o4LcWbHQxEsmmw3RPML7zpGwP1xsxl5xOME4P22JqI11PWVFxKn80ocEhjuSz8F1RMprxBX5iOBV z5VHLTiflC3VhNMzX54npsHzPS2xd58u5sLZqQ8oeGd477dGQIrhScBZaD84SMKxHtswDqE+hh32 5nzOKQ6IBbhxHtHSH6yEu7htAbaOL1Lsx3ZCGl8oIJlGhH0KX8H0FvoGWoapoq1Nb8HcwPsGyG0Q oe98zD6ZFVXaiz22/UwHs/JOHZiF9IQE81QlH5ubOPjDzhLh5UeZz/vEeML0uWfYFvWeDdbP4qqz X/jUMPK2ns/lo4Ty4ldUf1Y6EJ2Cc+DldlDJ5NuJKdZ8GEL/SheMwE6v523mGdCg8hubNX3mDA+5 BrWCXOjOLQ5g8YCQgm7wI6ydL17NHpomwNt0SRELdamejMd1gtjjCoxechcM/K3ovuMnTA06sDQx ekL22N2xtzcE87PsnldgQnjCWJFxPi7tIYPNORmJ8jOn/WiP7QC2YnZAQj7fwfzuxxBUs+vi/IOK erpyXggaQBmB4s+5n9ukO8NPRd943wG+n1/oOUCuK10a8BVvzjYncVDVzC3a5EEDukcXh0qK2ED9 SXASfp1PVXIMgPewGQG9124MxgqpiAcgZIvOv5+ASI8N1Z9bIxHV3TTA6u0K2OZzqf/04rLZKj0a qH6vJEbYs/ZhKqRH/MPbgDH3dLiqNy/ABBB32y+pJaXQaC2RbLj3mMyboF1gjGWfepkgmYOYcAbc g/Mehw1uwPydDzur79ioRcRG+2hK8HMvdLqbAoWNtE4WuFMBIlIDtJw1iifA+5MgsjGdyhww8Ipv vaCLCOx+tkIwwfKz3+OLcFpyUt1PHYQf94Tivr0FMx9WlmqSi0T1nZb087f+0uoyY68ZUcDeeqYp 1846Y7uCb5PiITeg2ECDBLX67IfrIDtwnQ/ETfQD3uCQH8HxcJWo/yNqidCWRIAS6w7YdbZ2LQwD bEDweB3ors2G/kPAuYNZUf9QjZdqRiJbHkBS5DnGbRuyntM/CiyBjpEwb8t8lCVfgPmY7cjExVO9 TLJxVM2Mcdjg5S1ggabEwNHONsb+pwgG9jAd2LQ2pa4bbesWJWEK90ZkUuPG5QGLveQJ7wfLR1sc Nskwpo9JPXPCG5u9GZtLkewUECXzEykU2kH/xcfTsTqi+XXOzWlMHws8nHmN7owO1+R1M13Iy9qF 1M+P3VNBeEWQp/oOa22u1MNjfzvCDyQSNb13D5ar+IihvakMiuQHydlt6CRl2bkXWqzruYSJO8H1 M9mSvuwXfOOe8A3VPZo6fWQTvwmewHF9njQ/x3tCvnwyGzGg7vntgeaeyxtoye0Te8dr0JMkepUQ ZK1F063imEucdw40WkdEwpZV+SKpYghv2fZAEQAKoHxra1+++uIXmIJ3/4TCBRypeynEgFnteQC3 PckQe35eNaMOUiDffhSK7dTK+U1QLrBpupBirajzCSVWCg7UwFTr37o5acPlDOHHP1F8rF1zWi7L BuxVH5Ol4Uw2RMahg5f8BqiRlWMyJjAS4PV8jekP14J8bITP8ss316tkJ7OtUE0JpWjGX/5lyQ8Q gHK/pEi+sTGYbsanUiZBcNBWvtSgNy6bK5Q95wfvpiBjS/NMImAwJcA2TMf+NXW9BLnti1Jrir1k VrbZBnaDG631qOWzaqXttz5xUKiAUXt2JwiyzsLh42QzXsdOBM/3rMRa2YX5GI9To3zn/yiVUtCz +d3B1l0eSNT9pznvPjAC5BVd6O1ubXvmFNBRftxrTw73tqyX89gYoLqVJlGcTwtGHTvxFy+QNIdm 8DsepTZviMxTaZL8/bbA4SxqiPXlUn/XC3LisiXb0d7n7CLLEE6xWGPjqMlB/zSHEj7iJMVWB971 ZHoXBcKUCdiO0NNcxqsuAPxjn3DQH5aE8a5iwGN/9bDBb3f1Eg1XDu5Pyg7rwxT1y7fewqagaFGu rTlkP+4ALgpIEHhmr2QafK+CH7MjNIzfVc1Op88Rno7lEd8RtRnXgU8ID3kWoKUWCaBknlJYnl7e uh6f5DWS6AwKVnCEqx9LsGjtI4YlQ3ciPG2hnr3y0AKP03a46FhvtnFqaDDt3tq6vvua6XZpwFHt Z2p5hgaEgQsHKDc/aOUPh03O0SaQ4zcq9YKeyz+RmCBY0meGeHysAI0UEAO7Gih2uTICU6bWHGyv 2Qv7z22U/PKXKl9bvC9GByx2VR3hV9/B+F31s3+6Od//R7ZaYebMCCdfNXs3oUawdOZynS4uFJdU xL7mHfsJye8KhjhsSFmNpfntJwhtb6GBlwb1yg/TVw9g96IL/WKykwP9y3VP9z/JIaFj10Ywz582 jsU7M0cxN87KPlB4MoGmMEn0Csk/6xHuSLLy7REEYeCjit/u+iU4EA5ET98kAoxqc7gZjxIeyhtD 4yZ8BCxivQugHSyILYprTp1+v4KL18tYn7u5nqcgkqA5vAS6l+PSZDLoJGhddYQdeu/BmCdZAW+J /8Du8MnYyPeqAw56pqC3RExTWGBjwOpWmVhbfz8RXCCAtR+xt0MJW6yjb4GRF3Xyxeuv3oLHH87G 3mtf1dOps+H3+9SxKTVpRtQMjKZr0fimPcAEtscFrPyCzSw1AO85nADzF5KoXxkgnwpP7qBQOU/q uA1M6HgICsi/0Q9FbByC6UH8+Kv3qLnbifmUvkEBI3HaUacO+Hy+YWLA/XvwCOdvBzbbx0CST5oS kZtTKcnYfTICzvumwLtEegc3r7x0MA2qHVGjq5WzDdYEuO9Ugt13WrI+FhEHjveOR4/S1vOFz7US HpS7hYjwlPNRxyiGYKdpONEnHsy7DxfBlS8JGAJWD9/6WfFwrb86Xz6fSIJKHw7kfrl5wegTWYJg sgKKVcFKph+JIOV5lTH6rP5juj1gBc2fEmOsAROw7e1jwXzWQqxX9xGMqXCQ1LWf6Q68poCMR3mA RFJudD9LXc3AokWg0ZGDBD0m9cRvzEb5fCwOCYb0ACQrz/CrN6h2gJ45+Y7Qff0Hgd5bBssl1Cp1 7XfEQx6Zy82iLSBPoJCF3777edauxy9fU6M65P0ciUkISUMh9dNZ7+ew318hGAqH7vKQY8sXLxvj 86FOuxX75VtvBejMr37MhdPOUOBNat6oKQ5cMl1OzQTzMd3h9KKf+y/ewOLRLRTBFNT1Hmcl8NKQ Ue8+ycFI63wBQ/64Iu3tl/XC9SACJ782ELhpmI1PLbyCr1766tNO/LlaQAozl5rr+vX6YLowS8sP 2oTKM1/9XgQd7WjT89o/9HTEKUy5Z0zd3blIiLS9uKAEJsZuz+u5mJ+XCqjb25k6DA754Pq9A/bm 2FArOpN+6t13A+VdfMLa4e72E9a2A9SWc0EU2zzVv/7W3sctgs4U9rNqRR2sHUyJzIpXMDF9skCc /2xJ43+igN4YMOBUIwMHWQkSNjwE9MUfIlvcLp9VH3EApIKBw/34qNuyWVxVNNQ7ds6qUwu5e7Ug asIMcU4V5lzZKD6MNK+k6MDZCb3IM1TFl6vhSxWN/fp+B+5P0g6fbFVPljMnuCAaF55sVn017AsX Qr88idSEpMvp4VFcwchpW5qXR7UerLsfg1VPU/MxTP2qhxD01E6mule2Jou9vPnlt3V92FhFWwSN c8xjL6m6nOj8u4GHG9oj/iqzZDz5s6uSy82muOK6fqj4LFWi+KhT734p82mJOw7mr1CiSNRlNnsN FuD+UwbY/DiNOdSBz4FT66dkuWkPNm7fuzOs0yyi+Kxy/cwJcwvJoTthZ+2f5nULfOV4b3ki10IJ xlxWG7DqO2o9wAYsSkJb8NUH/Z4Pg4XrWQSenJciwsbBXO7HhwDgWeWoRTCfsEM1persX316K953 c06pPoHgM5XYsw87MOmZ1cL3c97QdbzBdIJZCz2EH9TXmlPAlAo50DJ0FUlrPc7Xx0Kgr5xcursN n3z0HI6DUXzWVz/pm4O3lD4YNKfFzuoHlyIQl189yGF5D5rUmlIosfZAnZ/jNhnf/SuEcIMhxbje BkOXcTEk+M7QFkZz0FcjdJQ1b6A6iyzApPBEvvyDrfoRm/M+8RvoTpueJD8SWfXvFkGHZioS8uwd sO3t4UBpz/dUk8O5ZjvkneHq76jPJw6b3jc0wZUPsVbuA/bxykOnhlmfI1mNd7kgbQ++epeOMZHV +J188x34EkMOyScoBgsXF1cIK+ai27VLTHZCFwQFnrSEo7xbj/FwbiUjTOpvXsBmahABHqoDT6QO E3O64OkJNzB4IdUzEJvBnsVwN9ghafbNK2B6cA5BYsA3Nj0/yKfDZClQ9I4DRWfi5P3ZvLbAlVi+ 6vmfYA5q9QzrQTui3kv7fgH1gwP5NvRonNRpvljKiMDg0YwGjvQT0O5VtcAWzgwp/d2qhfvxwcGH djvj3UuRgpXPBkjZ0lH9vpVzcp0uPuiDvUctlCj911/Bzi1DHARLGrCM8BlY+ejbD2Cculr55Xft yISEqTuJAEF9pNQBZx2wt1v54OA9PbyPmGq+Z/gM4R3HO7Q0BJrjVw8H9qzSVe+teJV2wKxUC3tS 2uRDKAQCMMJDjfvP0ck/X77VL02DjXcA+3G+yD4Aw9XBu+PSJmN6VS0w6mcDewRAtrwv5wHAcusg Tiolk6KbMoGX2ug40HQ/mECpL//4zYMXgOXJIw08suubelxc1PTeRRm86KKHA/P5yYmyl69g1T/U k+jWZHHnljANtx11nBD3w/3gTXBvOTb2L66Sr/24wNp5IhzmG+ubN0F4obstYrudmNDT+ERw1duk GgK7n9DwCOFNer6xBVWpfgmJgmBq+woifkbZ1z9DKTL2RHyXfTK/6KWF3zxon+6Xvi8ezVHNquD6 5cd6EOx8Uah6uVLNbpeaxiISIJHqDd5vQj0Q32/eBS8RcXRHD3JPtPYTgTV/WPWfZi5C6whg9XOI W/Gmq5txgfJAcuo/eqP+1eMfTnGxrW40xu3yk/Cb1zwWZuUtGh5IDadCp97KJ0ITOw2AurQn9zWf G3bQn8A0cBzdXZ1zsEjbiw9Lk+2ojXtQN9DfazB24hSBqeXMudiAUP7VW7gyg+nTvzXovJs9ktf1 WC5L3yorPyJRrq75fJqPkYLN+wGB01AFcz0PvoIk7Uqv3vsCqMxly5f/kFLaOCGW8kIAdi+JhshS koFrE/TVz9hyqiEfAWkREHXvhl3tPiedOEkKeF4B/s0vnnoWtmD7ajC1N7mez6lwUGDUbxhGeeCA JUwFqCSMr+je7Mdguh/0CWxgadGfA5/kLdcmIRwSMtBv/rfmKZwIKO0JOxUPttZjqqaCyZMWaK+A GaHkKv4R/J98Ij8rFWRBnxLYezvGw2teAUAil0bAU/sV7y2A5h6TZb5u8+nU7aGSXyYTn794buUZ gu2bz+hu94x6+bm7Pr/9+cXjYPk59S54Xd4F2a7+T2SSuMAVT4nknt/J6DU7Dq5+ilqakQa/+bKP C4CEffNa9d+7BZ9OEpBkVC9zOog3DRZUoFg36iQgH7eHwPGgSFQwDD2BnbwBP5QwuofNnrFp13Ig ltQT6Z/ZK58DwdAgr+cLOpxbkdG7kR/BeXO//PO+K36i3/x6kS7HZKl32QQd1+XxhaVqPn6ypYBK MB8ptqlqzs/d8Qn7AHto004/ydJvvRiKzavGHi/NYFzvAzkefWo9no3JkHWCwCsz85s/5PP2LobQ MsUtUvhply80PWWwFu8eghcQJeO9kc7wW39rHhpM+auEv/hzWP3XWB777je/drdKYzJ67wmsVeGM da90g3U/g8ClW244qEsrWDKZLcDcVyppwKjUU0AYATuLt7AjyI+8b4VTCmdWnchWAzX7zddXfU2q tNYT/pvXXmT7QPf6QavJy2yOUM6UC9aGR5UPDWpKWOlkQttyPoNZf2QbyJ9FiQirPp0NykI4vQwL f/3ClO6cEjIWaTgSBtVk9qxNcN2PoT6LFjAsa1yhavoWW2IjMPK+FANMuSamOwGRnvmHlwHtdLyh p/XSErF4NGd4MBGkuqe29fSUBAe4yzT+1odQemMMD5wt4m9exU9dLYG9SRvs/fL5pj6q5QfvyQY8 DVNcup8KXjItpehatf38UewC1tsuJSRCcdB+84RR/czULu5NP/P2AaqLsI8J16TbnFmfqf3mRxS7 wxIQVY6RUqh2Q/WQ49kE3wcJ7LZj9M33GJv4qwM3hUKwliddP1G+i8Ca39JQF4Ke85bWh7cpT7E3 bSYwUJK5UMx9gr/6fzTvWgHT6E1J3ZtLMB0iWQF80iR4f+2SYL4+FAK/+0/4ehSSV1E4MVjHj90d 24AxUTYKsCNlxEEtQkZXfwqKR7sQGG/AyvcHHz7S9rXmnQGbX/TQwji1MqwZs51z3gEgaPZ+gs0L MHJ6Nq+d4uSLjJTKNQOGVHv66jm6P42Fycw8ytTyYW6ov96n6OUrIN6NgPr3lvQjObIKfuxioiu/ JwzdltXPpztqWz8k6Ir9YYDikokUWZqZtDfjU379Czb4ahfw1NtsYPlzCbC1FzJzni+zDy/0WiBo jRLocvfqQGm7s6lpMq/n1nwHVsFPRfiTawfzuK8z4FK/xYGRn+tJSeUOdtpRRSpNheDZV2EGVz+G QHlU+yk8TxzAsM6pW+ZhMB9sUEJZk1383R9YSH2BIPcuT2yUR9xPjd6G8lovdN/oXM9YfGzhcc+x 3987sV0TwxbcCrrqZzY75sWHo5KFVNfULVu25NaBczBdKc6zUzC/xu0A0w22MKZ3GSzslhiQnoMj RUL3MIfPsvVhqBsfIvkJS4ZTpQoQt+CHVOjzk8wnaUiVQE2fSHzdfno6HswCnjvxRMDqL8a37TuQ O0sWDn4+yBzr+OBCLqpE9EiOvsn58hSDexPM2D72z5ok3ikFsVqW37yoH7RgSEEjyzN25In0U1uU BIrH+UF9Tz3Xcxb6R3i0kI4xdR8mcRtkgG8+rwZ21bcr/8DmfBjRnBw7c0ABF6uPIfpgfUgic4kV 1QIxsl3qHkb3myeUX/2A5nur9ZwycSWEMFeILAK7nlwz3sBnsNujNV+oOy4sI+g3o4Wtnw6a43CX LPg+eAoOlWNQz2rHFnhJ+uDXfzZnlBuw7sKYniq4C1gX2tw//mGQQDDGo9SAr1/evcs+X9rKnf7B /7NQMXK67xdYb9v0u3+XEEnSDdA0bYjjF5r633yF27ghmYaNwViNHo6aSwLEpjV2bLA2pwhk3bEn FIdNPkuTQmDEQ5t6xpzk7LjzHJAKOo+9ci8DSmS3VKepkLEeKMd+9fMa+OYtYAiSmrH42gLb3l2w Kf60fZu/yo0qWUjGyPqBZgu2xwmO58Ulwqv3AG+P5QDA5ASIa4q3uSjJu4NrvoHx3otrZhy1GJaP 9IaTIUvYkninDKSiKKLL+fJTL0k0VuAytlfCnSLaz7TOJ8ArXI4tPuzyyRm7Cm6CqMPou39uHQ0H kDzZUbcNs4RVI2cBzqlfKx5GbPqOl+SHHfVQ6yXzyp+AAWeibsWn9VhFYgj++p4K+M9//fnzv74n DJr2VrzWgwFjMY///u+jAv/Obtm/OU74PYZAhqws/vr7nxMIf336tvmM/3tsn8V7+OvvP8LvUYO/ xnbMXv/P5X+tL/rPf/0XAAAA//8DAPM57x7eIAAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - 89de84040d6cdab1-MIA Connection: - keep-alive Content-Encoding: - gzip Content-Type: - application/json Date: - Thu, 04 Jul 2024 10:43:40 GMT Server: - cloudflare Transfer-Encoding: - chunked access-control-allow-origin: - '*' alt-svc: - h3=":443"; ma=86400 openai-model: - text-embedding-ada-002 openai-organization: - crewai-iuxna1 openai-processing-ms: - '15' openai-version: - '2020-10-01' strict-transport-security: - max-age=31536000; includeSubDomains x-ratelimit-limit-requests: - '10000' x-ratelimit-limit-tokens: - '10000000' x-ratelimit-remaining-requests: - '9999' x-ratelimit-remaining-tokens: - '9999998' x-ratelimit-reset-requests: - 6ms x-ratelimit-reset-tokens: - 0s x-request-id: - req_c684605ab95c8ee822c1b082fc95d416 status: code: 200 message: OK version: 1