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 1.40.3 x-stainless-arch: - arm64 x-stainless-async: - 'false' x-stainless-lang: - python x-stainless-os: - MacOS x-stainless-package-version: - 1.40.3 x-stainless-runtime: - CPython x-stainless-runtime-version: - 3.11.7 method: POST uri: https://api.openai.com/v1/embeddings response: body: string: !!binary | H4sIAAAAAAAAA1R6Sc+zurbm/PyKrT2lrkIIYLNndCF0sQmQrlQqASEkECA0NuCr+99L5Du6VTV5 B7xWQuy1nm75P//1119/t2mZZ+Pf//z19+c9jH//j/XZIxmTv//563/+66+//vrrP39//7+VeZ3m j8e7KX7Lf/98N498/vufv/j/fvJ/F/3z19/86xNQp08Sgz5AF8PYnUfUCX2VsuIMIGyVLCPbNGj6 xTIBgkANd7/1Ho3RlQd91j8Q1/ajN+qOEoq6vNcRhzYKmx7VPoEiKQR8SOHkTSpOc/B1pQd1H+qx F2B8fANXk3WqSW3ukYa7DbA8nzE9CdInmsFdmsBpcu8Yb9jSkwH2BFhLkVP7keJydsIpBl29N6k+ 51ePHHwK4aInmCKjfhjj86oWEO8THePhfgeT3JgEKm99RyT7sE2Lit8iZY4Fn/AgXtiEfGmAV80G eK8+kLed1FKHTOM2WD+bh3Lmh20A4/pWYfvqzuV0bMUQdqypqek9Q49l14JT+PFgIu6qoYhuQ+0C a2V0qFPpJ7Y0Q6DC3XWXouVsNiW7IABhLN5P1BPbvJyBMpqwQlmDRDtRAVscMYP5S55I01y+3vBO pAHK/fdL5ANXp1OmmjrYut8Ddt9OWy4y5VS52hoaEqaWeTS9hjJ0DTYiUXd0NmGd8eACPwibp2ky CNR9Hg4f/oo156yXfJ7gNyTk/aRWWntsCiWPA+gTqQjUxcebXsNwgYTf7BAd7hKohtc8yMPp4qO5 efrpMl+9BMiAulgdE8tjtlNwsAlDAWtVg6NFap0ANveLio2Cr8BIxNYFvlGqpE09B9B0XwTKKEkh da+7MGIR313k3TbNibzxaL/E4jGH1k7/knnBSrS871dTSlJuwWa0USJ63/suPGp2hfGe+OlspFsI 9yjRqPt27H7dLxUaW6fBnpae0+5O5gV+L+8YaxclKNf3v4Fs8Tm63305Rh/gfYHf9lkQJR/0dDo/ vgW8ZkOAps/t3M/gPk/wFZETei1YST+Xt4NgJ9gfqqJPCgYNvwpo+kFItecjBUvXxRCqPhuwbScF m7UPE+TYFnX0UTLd+3gDEGDhllfs7ljjMetzz2Bsyzo10t4pd/e9acNCKzUkB5zikZNGA6B32ov6 DecbrH/oqqI1mwgfX2nqsfvet0FUXS5Y624aE4hZV7/zowhkgsGa+jzAJ84Wqos3k5HnGAob3zY8 BI+8Hs1CehtAFh4gPuwQZENWbmL4No4F3kdo501COw+Qs6qSKPW+NJZAknP48U2P6jWxDIoHL4Fb bQixOkuSNz2r7xs8h02Mjwe5APNePWbAWt45dYXejObiqyG4D+Ujgcn5w6hpcxPQh04jhejujMVq 6zfsZ+ySJvfPjCq30Yeb1+LipLhdvPl8pQgaRZ+R99qvrPe0WNlL9/2vv3p24i0fQifBSPntz1Fw AogPpxEfSk7tF8HoF3io6oFay31fLlvjQUAtIY4MQQk8WscPVTpeP4Aa/f5dLnBKXPgFporxrRjX /r7p8EuLjvp6qvXt9jLr8H6+3Wk8DxUbdkDNQXSjT+wNc2kwPSQ1yG/indpawbzRDt8hxLs8+IMH THMlHh7S+owtY2h6VtJNBrC+M7AeQbNnp9uhlWMmWSveKd5gvMQAXtq9Qb4CkwFV6ykB8h6FaF7P f/GfhagYh6bCpuxPHr32ag11W+exEzh7xtb1cK7ZDYnuFxlM4SUBVNecI8X3PoLOMpkPi9pFqE6U zKN3fDPheS46xG0eJFrSpIFwRDKi/vSkYPHOSIalxGVUHzaVN8v3nkj6tr3RZMcagzZxb0JjGhRS lDYFZJNdbgBIF4J9VXtGM9iKMQyXwMYqv5CyewzcIJHDnacuvjbGwMuXEJ7C6oJVoMfe+r485OLD nlqDUxhjOScWTKcDRsKzMb2v+vlMUL4PD5qx6wAGq3Ns0Fa5hQD8XsB3VmcT9mIQ03CvcYDJ3LcF 0ePYUSeXhHLFXwKlrTsj+LWoN92ccQHPVLepNs96OZhM5CC0tgHVp0scsSWdXSXygpy6e+ubMjNy Cbw1/IX68V6NFvmhxOAZcRz1RvFYToHYCFC6lzI9lFzRT377RmCUQIhoI5GUXhUtlByt57DGa23K +ENzgVz7Cah3Q/jf9dyNNkJSpOksuar5DZ4FfYvxow368frdQpjc7wybxH2Ws5cwF9wOY0xVixTR 4PmHN/zVoxWgsme3izDB5h6rSMLPRznrseMD4Rb7+Bmo73Le8EYMsmrIsJ492vRPPfvy4U7tV9aw unn7FvyWyhlJnuqW8/nFbPiKhhN9zLkBdqd3VMHXlnBk87wbBjsKWqigz0lFy2//NHUUwaVrdbIJ ciUdjnkVQ6n47LEtjllKZ6e7wU9zwOhTf+1IwFJ1g7/z8t7PAYxgO8XK5WkN2LBltV+4OgtgSPsG W4IolrOZmTps3vEVX7G8KWeO0xDcDekBMTMQy2k2LRceDqaLDY5DJfUPAML6YE/Ywvs2nb+5XUDn cuyoDndXtmjQssHNODrY2r3aaCbhoYafd2NSLd+8jKW/dTE8PMoXVntXjQShuZpQqZ8v9NKgxrrc OWV/+LqMIy2alKYV5Kf8EAg7zJ90Zglfw2YjiGgrpV82bU0xhl3bGdhGnRUttqyEwKv1HOv7jpQE N/MCm8usEYnb9ikbNCODq97CRpeFjCX70Ac/fjSbhJRlpVsh7P0PpD+9w1b8BtjhB2wbp30/XekU QGMiCvbynC/ZGJk2DPX9BxvfeDKm01mvIHRuGGMWUm+qLCqDbnQR2b2ssuwPaVrD7SaIsfkOPcaC 4Z7BjhoSYoIipBOFXgBEoOzQ2d1nxlqfNlRU3cXonVCDKHFUwaz+ttinGzPdNXFpyvteLqmqhHc2 n/pYVCg5YHys4qn8PIophvkmPZEunwtveA9LAld8ofqnNtIpfkQ57NnkkDGKtHIexdCUF+Ue0n2t in3X8YUI7v5Np8dXCrzl0PIVDEPHwqqxddm084EL3l3s4VD7XiIq8biFIxIRRULMonHz1ltlxVe0 FYxXymT+QSDfdgnW5vldTlNhErg5uhCN7dlmfK62LhTfmxc+3gBl5JaVOlwsMcH7VkLGUg8ahIiL LtTVjxEjIxoyoGjSFu1KriinPAwnSIOKUB++1Igd0qgG8Cgn1NKrCjC3HDLAhNrHztg9wbTyETye 0J56943WC927RfBYeid6CKqGDfNyTKAZjh3VW84DK76EwBb7hnpNQ/vJLrwQ8p55pVZ33XozOEgW KI3EQAqwTmwO7hkCP736/tRGNG3zJwGqfKVkI/cUDHmV5lCwg57aP71b5y0Hfv0wfW7b/vuN+Ary wj6l/pBf+5mSdwBdBgN8eFlGPyZFhqC5zB5Wh9BIpyI5V3A4L8L6PmeD/PSOsfUaVK96eOCiqwoH jh/R/KWhwboMwN/34yMbZ2Ou5sIGyAiiUQFUK1mMrgLUT5qH9zoqerLqRXDdNx9srPhAbqQffvyO tl1X9H/wqn95X+py7w1b4tqc4GfpPqieT2/G2GZ5wyETVIqv17Bc9OJQQR92N2p+PC2aHaHsfvtL 5rNgebvizDiQ1wlAQEu30Yy2JpHnINawxYrJm7tJ82HwLXKMieuny3MMeTjC7ESvdzPy+o7UFdzl 4ocar/BZMp0AH8wCL616FADWiHny+3yyvMcRsM3duUD7MZjYDckumrzLtwBLKx2wmrRVv8wsUGF9 cKe1vqOIzaenDZJReVJ1lu7eMl+N5IevqNkEYzS/Z1OF57aIiHzbnNPlcAEiLCzDx+ZQvb1FuyU8 mB9Mo3ZvbsFQ2B0EuNpOWBOkTzpdo7KF+C4e6XmQ63QeXHOCDz14klnUi3I6QI2HkvqqsD1zRr+z NzEHfdje8N4lHiMXgmtA1deROqO/97aHKpPh6N4MHBTSux+2+XOA0rUiKJhmIR0GJifQcrKfn1u8 pXsXPjzF5RudzzkErI4fOlz0G6bW+VKnf/StFeYKEuJRKJkmShbkcf1G8zy/++VO5gnavV9jaz69 wejaS6Zkqj1h5yipxg4E75sidmpPPZu/eDu6i2rozueJbIzcKpnlmLxiuG6JTQZCj338NoSP8KLi Y6UU0XKuEx7Ib8JTbWuHbCZuK0IY3mrqcH7az+/nKYGteTbpreKDiAywHODLaCeqRxEPpqcdy2Dt D2ru8VAyGIg5tEwuJS1eHIOcfCeEBftg7Dhiw8jV7S6QCZVPrTFwy5mIha1A75oSJUjNfinKGMJb efEQSB5Zujw3aQH0rC5Q1S07Y3luorfCpSahzmvxjREf9hkUBv5KUScn0WQvHgfDJbTpLy9YUgHW YOv2B2xuzr2x5Jt9Lj8VfUt25Tlg5KpeEjhoYT8GYR17M9rcWgjUYEeNmU/T2R8dETYgHolw/bCy 3T+pDfrs+0CcdLTZpDI0Qc/OUnqeQsIW75jYsHGCJzU1FK/+8mmCq+wv9JgbS0m97WiDkUsfK1+i nuhWi6A36gcimve2nMPXU4ffSxFjD+gFGyEeebD6FWwMx09JNlmewGYUPGyZvNuP3J7TocgMnXxq 9dbPfbpLwA1NOTYkoWck1ezqt57ui92jn8dsn8NE2Agke8K0pK0+5XB5yhNF220RUaX7yPAiuhXe RzsLMDWr8h/eEVkjBeuPd76V7Zqkqz8e0tkQ3VpOdJjRe9Z9U/I+iQncNSKkamljRpZvYsP2Kd+x ig6aN+j7R/2n/vHq/9knD2WluTAN9fSrGiwDWSD//Ir782OtN09K/kiqn/8z6E7Z5H9+L32pd2OS DOMCQSr42HnLBFQrHymrv6V41YMCPs8m/Pb6E3vt1LGlugME5cbfIHoJWm/1mxmo8rf9B7+GzUPS 5ZVviXIDGMxDHBC4bb0v2XHNo1+2c69DOfdbxN+XomdDJSxgj24avW3PEfhugpv6px/sUCds6PCb k4vaRtTtQ6PckhBXIJeBhbWhbXrW1uUE2V13KK5nr6TQGt4ADbFL/W0T9pNxrS6/80LT83DtJwqN EBatJtHjnJdg4i8dB2UudLBeKaycfY5/wztJKCpLI/RmBQMZLHiHR/5si/1SYRqAs/x4EgWimE2J 6Ngw8LiU2sk78RbxQUO5t3wLX1e/Tqf0ocs/fTb6yZASasIOlAcR4bu1CSO6PSg3cQJTjH9+kx4r u4IG6ghWn4drOUvbLgTr+aMdv6F9J3l8B8RPUWBbvU3pvITSAtvHOaEG+4xg1au8LDsdJNvdN2fj KIYW3MqLgySWuf1UjWoO13ohuywDJdv0ugr3yo7+/FO/dHwrAylyTWw/fd3bEe30hkt8TbF+NHA0 KNKav0CHo+YukstuXEYB6LN7pGb1nvvponUQlp/bhCC7+qyv5FMOCrm7oyUfzuXgtsiCqnymRADv omTTp4Vw1afYvhgHY7h+qlhxTvRJPTz26fjT91t5cqhl+8zo3Ke/QLS9vLAXC1a/XQTmyjcDO9Tq 1QoQ/daKv3wJLdsnjgjyrha8BbRH3Zp3Ls/SkiFQBImu+jXi2SUToX1pZRQf6Y4tZSlZgL9VEvZN /drTyg+RcgLdkRrQmvtJaQoeDvnYr3700rOVP+S2vs5Ub7ZB//1+KAK5mSBqxNEr/WxHL/7pH+w2 pz5a2uCUQ/MwHQjVxtiYpyqPQYSpjejKNzvB9nIQ0m9D/W6n9Z/qnL7BVUYLuk1CARgrPyLgxkNK 0dafyu/uYMmwNG4G2sTPbT8aqQJB690QjU5Jz76Py3ADeme8sJvPqjck49YHr6y3EDD8Bqx6agKP WvCoxX+9qH/OcgGDMGX0wDVKPz7kK4Eb6n2xLwTvdPGeoQA3G+ySeR+7KdspuwxQtTxSvHhV+Z2q /AKeEeSo1hdmuVT9yANvVA/UjL/7fj7yXAv2Oj/QFZ/BfIPmAFd/SR/1vvT+6NNT9TEonpLQ2Gnq R5SSa2HTGCh6v/0070C5+4mOxLLfetPZK3j5yE0HfG+Nzpt8/1zDn39Y8zgPRFZvAklqUnxM2QBI E3gJUPGlp/aaxwrsmNZATWTtx9flMM2bGFy02qNetGdg/EiZLK/5E2oUrTDGVV9Dqekw/uPX8+RQ QKV+vLAmtZxHso8DobAfBzTq8x6s+nOBp/ElUn/tByYPLQdqrwNIMq2Ht6z5AND3zy3aBKpe/vGz URxs8cHxDsY0AuqCRCq2iD2HF2Nkty+gJxdfnA/DPp3FTeFCaepq6r+3s8H20W2Cv/Ncz9sQuKlF cK0nbKksTKe6vLVwzXOpPWztH74E8MWcDTWL1z2lL0mJ4QOPT+zTS9wPW3O6QEtPMwRE12DzZc9X YK0P8ps3LD18tPDO5cEvrwWjtH2HMh1cg8jMeRrr70vg6o8wcgsXTCXHLLgtyQav/OJNMzxdwOvl MySN/sdgb48zwTUjAcYONft55QOIsuBL2FrP80ymGEw9YUiu7ijatp60wKGL3/SXt86PQozh18oY XvVMOp29loc3N4zQn3qtp28Ha+G7ISztv/3E2nMFMLrsVn11YFOsWTzcXvwHPm3uU8nUWrxBtxQp va/vRztCKmg5eY29ORCM770LTdiIM6F2IPveNuiRIEuDm2BPmaXyD19OPHXXPL9ny4pPoCygRa0P XlL+7gABTgfvgPF6/gJdgAxWPMFu92VggFKUKcfElvHR0Q0mZB+Ng/vgjLCz39F+sgBbQJLCBTuX u5ey7WGbwONuUBDJ7xfwqy/4LTdnArNP3y+61fryLx++DI7q7Z7nUQTF0bxQ/NFO0dzpDgfeZ16l z+W7SUmsn3IYvJ8xNqOX3u/qvIVg1TtEWWqr3xkq4ODPf5+J/vWmDncQaGdY48tab3/8zZDTnsyC tE93AZfYYOgubyIfa74nx+bcwaraFD+/BsbwddWhX7Y6dZ+Szqavkrlg2oUOdjceLSfC2xl8X8ce 4482p+9znQhw9WPU0sDZmPpX2cFPWJbk2S0G2Pml/IY74xpg/8i/o2E2kQ243sZIiaJXvzRv04TH HVGoo9JhnQcA4U/ev86fjOk+UhdE83ylv3kGs3ahC78G4ClWqn3Efvnp52y+EbxVUTpTNYaytdnk 1Fc77E2Z6qtwrwsDxmKm9/wIGheWBxkRcZ0/TPLZ1P/wn4OfSjlEj2Pym9dQ6/qJ+m3TTLGy+lcC XsLDo+kRQZH0SkGK89Mpp2LIQ3lJbx9qHOxtOYJ+SOTaawH23E/bM161W5AtiKPOEjeAWum+gMXR umCHr47lsH9SFxzql4h1/uqXy6qP/8wDEAFLz+7Mu0H9ZQ1kqrVPRDMQhxA4x4H+8GlR4rSG4+d+ oPY92UVscrILiEwco8XpLTCK29hXfNE94pWvegLkQFcc5XKmTtFr5Xy7nRJFDvuIep/bOx0izyfw 0ccXbNDqXE4PwbIgWyyNKFGk9Wue00GjRCmRP4XIGppaHKwV6mDttD2ySW78Aaz64MdPkXDPZuuX 72KbR9+UrvkL1PePLd4/imM6P2UgyKC43LDLyzNY9kiyoN+aA131ZUmAfFMh4GUTo9f8jFibPQUJ HsUEzaZ/6Kdgdmw4XuUPmnnNjqY131JWPMSOOe2NP/lccsgbejj2YTrdtFkH5X2XkCkT3XTFZx8U F3OkepEX5WIueQzWfiMB73CAtME9g4eD5SIYlKk3PKr9DW7heCbTbbcY42UPK3D9DA1hGfPLP3pw PGzNXz5Ujkee6+Rf/zie2vVzdBcv8tfKGZKOkuoJYzHa4OC9eeoc2rcxiqdCVs4G1+DDY++l5KdX BhgRjO+NmE4bb7rA8y1b8Jpn9Kv/F5RzrNsYZe63JFz8bcE6byJzcai8eZvqLTDPwZfil3r3JpOJ 8N/6deaMkn78NlB++fjBfu/S6XPjWjAv6/wh3qvpwIqWB5JhlRhL5dGY/PwSwriTKfbX/ahO4lYG 3/ZRUBdCPRWSkPnQI0pEfG05MRa+vx1c5yfYO/QJm2Z4v8CxgRa+FPRgTIFIBXAH4IRu5/vGmK6f 4SL3bHEo3u+zfpq6oANkn7XYu1q+t4u6SwKdOMzJW24Wb+Q5BYLr/vMh30yTSnYp6vrHf+s82C75 Xz04NrWpK+h8P3JMCf7oRW+yo5REu90N/v27FfBf//rrr//1u2FQt4/8s14MGPN5/I//virwH8kj +Q+eF/5cQyBDUuR///PvGwh/f/u2/o7/e2yrvBn+/uevHfxz1+DvsR2Tz//7/F/rV/3Xv/4PAAAA //8DAChkfwLgIAAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - 8b153e6ea9de6222-GRU Connection: - keep-alive Content-Encoding: - gzip Content-Type: - application/json Date: - Sun, 11 Aug 2024 03:47:22 GMT Server: - cloudflare Set-Cookie: - __cf_bm=3_Ms78KXrd_LcY.8Imn064iAABns5_c_BMJSUzNsVWQ-1723348042-1.0.1.1-3aJD3slxS37uMgCLF0pOOxfrG06G.8s.nPG2e0H2mTQVuXNjiurEZR7mcOC3IzB461jg.JAaXj1V7ZrGKb0hwg; path=/; expires=Sun, 11-Aug-24 04:17:22 GMT; domain=.api.openai.com; HttpOnly; Secure; SameSite=None - _cfuvid=RVP74vpqOk9uxHeCwZCkQayz.1ClJA1.bparJnAlSkM-1723348042306-0.0.1.1-604800000; path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None Transfer-Encoding: - chunked X-Content-Type-Options: - nosniff access-control-allow-origin: - '*' alt-svc: - h3=":443"; ma=86400 openai-model: - text-embedding-ada-002 openai-organization: - crewai-iuxna1 openai-processing-ms: - '19' openai-version: - '2020-10-01' strict-transport-security: - max-age=15552000; includeSubDomains; preload 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_746fc90dafa4e328cee4f91e29d7d29e 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=3_Ms78KXrd_LcY.8Imn064iAABns5_c_BMJSUzNsVWQ-1723348042-1.0.1.1-3aJD3slxS37uMgCLF0pOOxfrG06G.8s.nPG2e0H2mTQVuXNjiurEZR7mcOC3IzB461jg.JAaXj1V7ZrGKb0hwg; _cfuvid=RVP74vpqOk9uxHeCwZCkQayz.1ClJA1.bparJnAlSkM-1723348042306-0.0.1.1-604800000 host: - api.openai.com user-agent: - OpenAI/Python 1.40.3 x-stainless-arch: - arm64 x-stainless-async: - 'false' x-stainless-lang: - python x-stainless-os: - MacOS x-stainless-package-version: - 1.40.3 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: - 8b153e71ebd46222-GRU Connection: - keep-alive Content-Encoding: - gzip Content-Type: - application/json Date: - Sun, 11 Aug 2024 03:47:22 GMT Server: - cloudflare Transfer-Encoding: - chunked X-Content-Type-Options: - nosniff access-control-allow-origin: - '*' alt-svc: - h3=":443"; ma=86400 openai-model: - text-embedding-ada-002 openai-organization: - crewai-iuxna1 openai-processing-ms: - '21' openai-version: - '2020-10-01' strict-transport-security: - max-age=15552000; includeSubDomains; preload 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_079003c5e65bc24dab7a3a5c80d5bba8 status: code: 200 message: OK version: 1