langchain/tests/integration_tests/vectorstores/cassettes/test_pinecone/TestPinecone.test_from_texts_with_metadatas.yaml

interactions:
- request:
    body: '{"input": [[831, 677, 31172, 272, 762, 14087, 68, 17, 64, 25350, 1774,
      1897, 51542, 9081, 19272, 1135, 65, 1774, 67, 6069, 712, 2689], [2059, 7341,
      527, 264, 1912, 315, 658, 10753, 677, 81, 3581, 7795, 32971, 555, 264, 7558,
      321, 351, 61798, 30535, 11, 4330, 311, 8254, 342, 484, 1776, 1220, 389, 279,
      11314, 315, 279, 2010, 11, 323, 281, 1279, 278, 66079, 430, 527, 539, 75754,
      311, 279, 2010, 13, 18766, 61535, 527, 21771, 2949, 279, 1206, 1037, 24082,
      613, 318, 269, 4055, 320, 269, 24082, 613, 3893, 8, 323, 527, 279, 13219, 1912,
      311, 279, 426, 4428, 42877, 320, 66243, 323, 24890, 570, 4427, 8336, 13334,
      279, 4751, 330, 939, 847, 1, 439, 459, 42887, 5699, 2737, 69918, 3697, 315,
      921, 2159, 14172, 339, 9891, 320, 11707, 321, 351, 61798, 7795, 8, 449, 264,
      44892, 12970, 79612, 11, 1778, 439, 6409, 65, 86815, 82, 323, 53265, 582, 276,
      17323, 13, 61536, 12970, 523, 2159, 14172, 27520, 598, 1778, 439, 2493, 5670,
      301, 1815, 323, 25227, 3205, 355, 1176, 9922, 304, 279, 60434, 1122, 26572,
      320, 19391, 12, 19192, 11583, 705, 3582, 1063, 31376, 1534, 523, 2159, 14172,
      339, 8503, 12970, 29505, 527, 439, 2362, 439, 279, 36931, 31137, 869, 12734,
      320, 21209, 12, 14870, 11583, 570, 578, 24417, 6617, 61535, 320, 9697, 613,
      5493, 8, 527, 3967, 505, 279, 23591, 84474, 11, 922, 220, 1049, 11583, 13, 220,
      71923, 2134, 304, 1404, 505, 279, 2678, 50561, 74265, 939, 847, 320, 36, 14046,
      2985, 46109, 281, 5515, 72, 705, 264, 5655, 9581, 9606, 430, 374, 1193, 220,
      1114, 2960, 86366, 417, 320, 21, 13, 22, 304, 8, 304, 3160, 11, 311, 279, 51119,
      44892, 320, 73262, 2910, 77152, 3666, 355, 705, 279, 7928, 7795, 304, 279, 1917,
      11, 902, 25501, 13489, 220, 717, 37356, 320, 1272, 10702, 8, 304, 3160, 13,
      2435, 527, 1766, 304, 682, 52840, 323, 527, 4279, 311, 43957, 709, 311, 220,
      17, 11, 931, 37356, 320, 21, 11, 5067, 10702, 570, 2435, 8965, 656, 539, 3974,
      304, 80744, 11, 8051, 1070, 527, 264, 2478, 3967, 20157, 11, 1778, 439, 279,
      17231, 44892, 323, 279, 15140, 44892, 11, 902, 649, 387, 1766, 304, 2225, 67329,
      977, 323, 80744, 8032, 18, 60, 71923, 617, 264, 18702, 315, 2761, 14991, 294,
      4351, 645, 430, 36236, 872, 6930, 505, 5674, 323, 79383, 304, 5369, 311, 18899,
      872, 15962, 30295, 13, 2435, 617, 12387, 7437, 315, 8454, 481, 18311, 13, 220,
      26778, 9606, 527, 72627, 56217, 11, 902, 527, 44304, 430, 527, 520, 279, 1948,
      315, 872, 3691, 8957, 13, 8593, 10507, 2997, 279, 52835, 44892, 11, 6437, 44892,
      11, 2294, 4251, 44892, 11, 296, 29886, 44892, 11, 270, 86524, 44892, 11, 323,
      24354, 2025, 44892, 13, 220, 71923, 527, 10791, 555, 12966, 369, 44892, 13339,
      477, 44892, 1913, 19724, 13, 9176, 44892, 22673, 527, 21699, 555, 3823, 7640,
      13, 8876, 220, 4468, 15, 11, 44892, 22673, 617, 1027, 11293, 555, 220, 6028,
      13689, 10213, 505, 927, 69, 11218, 13]], "encoding_format": "base64"}'
    headers:
      Accept:
      - '*/*'
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      Content-Length:
      - '2795'
      Content-Type:
      - application/json
      User-Agent:
      - User-Agent-DUMMY
      X-OpenAI-Client-User-Agent:
      - X-OpenAI-Client-User-Agent-DUMMY
      authorization:
      - authorization-DUMMY
    method: POST
    uri: https://api.openai.com/v1/engines/text-embedding-ada-002/embeddings
  response:
    body:
      string: !!binary |
        H4sIAAAAAAAAA1SZSdOCSrel5/dXnDhTK0JEITffjF7aTBQbrBEoKtjQZgJ5//wNfCuqoiZGiIkQ
        sPfaz1r53//1zz//VlmZX/t///PPv++i6//9X/OxW9qn//7nn//9X//8888///37/P9W5p8sv92K
        7+O3/Pdj8b3l47//+Uf4v0f+36L//PPvkkoLFhBjh6bHdqEiVfh8WHiw0nY4y6cHvD12ZrgLv+1o
        qbcPLA9LlZmW9TEm1Wo38u1jnglBiW/wTXM0kc16DbN3FXBuHlcCajV+xEvhMqFms3MTid6KlqgJ
        WvujmJk6VJ8rJWohfRH33fMVreX9goX4Wvl12YYNdM8DIgZpHm3f9eNH0dK7zXz7rKCJXI8YIulB
        CN55bTZwfb2BWEkLOmz9Tdnp71xE2UG3saS+DZ+P7nIhX7tsh0V0H42e6rUNlyHVmfd8WMbae51M
        yA6qTYwHC/whOTsYlKGKiUNXr3LS36qtTHenoEMhbRHnOUtRVaQRhfTe8O55v+whvnwVKnRvnfcx
        SxcwoCLHaF8fjMF5yA2wN8EUHtXH4NUCIhQVxxUWJ801eu+rbZRJLxLivbylP7nZIYL1s9+TcPPJ
        0ajbrwGiMw1ZOClBRqsbTWCVL87E1gwznkrQKhT2w4aQc4iyodQqE3pLdCkP/Hs5lILTgb1RziRo
        dknW3VPUQebYLxZ+WtHg6S3HqPBQwTRFlPzezO0JLUX7wrTELX2+1x0K6RA+mXqXWczXDj5IZXNz
        6DiEHzQ6uvNCEWxMcr8+pLg+2ooOsf964GVUauUYP1GD5vtltnbZoOHQP/cKFe2EyvmzK7krfAG6
        y21NtHudGkPo7V5ocRQ9RqZo3Y4x2y9AzTuLGYetFovkTga0n04+8ZpFOK+/fADtmwex0ouJhrtX
        CyhYNDpzAh758/UrhOtSImH0LuM+ekcRuId4gakmXcshDAMHLvd9hYVMpWVtZgcMPA1kYqUvZnTP
        6UjhNd50jCTHjZm+yAYYKZvo6quRUnhfPBup95Qy/fVIWj5KHxXUnFpEe409Gqf8USm2NRjkHkmi
        MeEaCnm3fXZ4Ur1Fy+o8ekB3ua+JZrOLT5XpY8KpYi4WNsHHGI5vZsvr4JmS7bkUUPP8phh9zRCY
        +4RXyV0oHGVdZIj4zpGioVlpFdJltSOhv7cyqtyfFQjPQGBm7o1xt+ObK8zPh7j7dsUfmlLIy94S
        XJaKg1x2eRWraKuVJh3HSzLXj9rBV/c0ot/1IeNmFHXoNEYiC9PLnXPzs+1Q02Kf4S7Z8d7udzY4
        JPqS+TuayGmw0Y1nPm7hJsa0cGsVdraTEq24VXF9dL8vkJP9SB+n6zce1S5yNkK8UZm1s7/+oIYg
        Qm8/JmLVx6MxKcU1QNNYY5Kct8dsUo/KBOfS3hBd9fJybPAtQYV0ZEy9wKIdfTfpoC5CRqyFXPuD
        Ni0clJ5rgWy96GxMyJswqMPDYZZ2NxB9yKdKPo17kfzqbZJcgkHkCmXhblwZ/OnvKahXVcIfdLD5
        YF+PJuI4TsI1whni2NdzYG9p/adHr91n5ynhkQQ4VV2jHCRUm6iMCo+4BnuXXVYqOWxVMaOv5jvy
        7oMiQZFaIpLAetdoaqajCO2tE4m52yC/62A3oW8++SxwXkX2PiejDNfoPuCpPdjtSDYHCtIN6Vhc
        CLk/nrHlwP4mAJufnz8k1/cJClARcbzV3eB20+9RQl1C8FvSjTF3Z4U6nBKG64sUU4t5E7qlzgpf
        4lPF+TIzHVj7jkP09mCXLOCPRDHTPWLY1yJ/VEdljz4ivhNHgbs/rqNzhNQxGNkJ3XdGLya7K+LB
        xibpV/Cy0TGRA3stmIi9eSSIP/2UwsJ77zDa5zUfo0oXYOHvZBZwrLViez5j2Gz0AjfiILe99MYd
        LJh9Z77oRjxHya4ALEwT8Y2+5GNAU/VX78zPdjni6Xk0od5+tlRoJjBow9oIbfaezgyjFFoe5raM
        7lTeE+sjWvG4lqsAsj7KSFCjErEVPwlIvSeUOK+ubjuupBRlzhgyf8dP6HOG6QBaqXNi3eiOj1B3
        e9C3hfZX7121n2QkyDeXbTUulv32aOkQnO8VM/ZuFA+/eriYxoA33uERT+39ksJRxDnxkhKhaWmW
        OmzyKWBh2d3aia/cAUb3iYivGpu2as/JFX76XGnntc/MKKLwBNkiRHl+MrZATEYRyCazeGwhTuXI
        hNvy1JGtuQVjNCQrgUsmc7z2bSHu36wMoLnva4J3x2PJv0HWyHZvrMhWeBV+J66NB+zWcGUJ9caW
        9vXVht1+ehPDCB/GEJw3GyReTjZzg3PUDveUU/Qc25AEjnzi3H6rDgrOt4oYgb8s2e2uYRjORoTF
        qnz6nf+OAligrvnVd9l5FqiwMlTx7/kOxfluQveiA4XP+PTHo62oCJqzPs/PBacfYycg97Bb0ME7
        ovhvHqenqCDZamGXU3J3HWkoYCLXVfE1xsYZImC4MWmbjdtytSxvtmy0jkWIgJ2WD7vJAcX4JkyX
        5CIeP/fLCczBvVL5XgjG0DRXGe724UPcX7/oGk6gvVQJsfA+4cPY3oS/+9dG42V0V2chgCmEMlEL
        fOCj70YUXJQntLkXB386puUH3P2mw5OxPPjjTy8Fp92SmYc4u4ttgIzWs+hAxXs53ckmkJEU1syu
        pFU7rkS9UrJCK4m2F99GJ3+2L8B6tGWRuuYZE/fchMU5vOL16Wz4dXTeALQ3NST3RdGjeT56QNJ6
        T8zv/sW57EoneMLGYnoRcGNMkNMgNuRbuiKO6E/i0rzCQ0sXZFsIZdvX9UEHy08OjIQv1xivjdmh
        hffd4UGBl9FMe6SDu5c7WmbfJBsmbzIhC1Yt822tzrh0jirlKzQdcdV3+bv/D7xeDmYmTkpUzbyq
        HOLYwLAPhbJ/szZA0bkLqWTIDPWZZaS/58m0i9eUdXq87eFcmhtGvPST0ce6MyHZfmxav+1vPI6w
        EyGReUrCjaX6wqF/RrCqgp4Fi5WJ1ucTNuGlnwIsu1ctHtw4OwBfUOdPb7iOnoFSeIHE1MJo2ik2
        tBc67vQvpmbxKNmPD/xBvjO8Uq8lF8tggbY66fGUbcJyVJlHUf0QbyQsT64x/XjA3izPuBoPQkxR
        cilAvBzsub9Ug3+DuEL5ZdcyVVb8cuV9XVnuAtegAk4MxH1jOkEVStqsrxs0nbwdhXVxQZTzx4gG
        objakC/uBdOD64EPm8v+BJ/jyLBw0MRs2C5aEbC+39I+Qms0frXKA9o4IgvSg9ryZNXsQfuOMtGH
        r9mOr/Caoy7hGHPindHU11cTZQfK6Ggzyei+/Vgob2wFBGt0nw2LmyWAZ6oWCZekKMcff878R0W2
        CVFXRepBOTD8ItZ0c0pecPsDm/t1RezzUojbz1lNFElbPilfTpXB4u7roMJ9RMTrt1Xchu0ngIPX
        nzDsdS8eqvfyAGemXjBvkkVM7d3lA5fRbJlPDltjILuawuk6fpmBl307928q7eshZ8ZycoxGf6um
        4pD9l7bN2cjWRCltKFg6/Hi15PZ36qA+BHtmOsThAnO3NjzaMzALDXY2vOoY4LOd9swD2pbDeBML
        sLfrBVPHu9EKngU6unuZSZfvW1EyRH/+IcTsx1/jOT/rSN8+NOJ3bTXzhpfDpuM18/JTkdEXbQ5I
        +lwZXmkNNsRZj6U6OGOCF3GaDTvp9kHFaWUyQ8p1tLL7iw0Pc+IzT+jxWolBRZeafIlGuiKrDf6I
        AFfe9/d//ng0vavkZ/Q7+zXH+PCVNimG3ayx7Hxefqf1FxWc92ok9ie10PQStjnYvbYiwdK/ZJP+
        nRpIB/KkY6CvDXrZPUVke6XHwptuoMnUt3tUSGdGpWODs8li+gCJs2dki+irHEKQA1icCk4M62m1
        Y4HOD/TINQeLm0fC/67vus2JedQhfHSFZyB/pM8BIylXeI+jSoAivhEWOCwo38M5KdBn1++I6+FV
        Ro9nSQdTY2T2C0YmHm+5B1lhlCw4nAiaVCfP4XycTCzH0Y3zVT9StHDlivjf8NHyp4JOcCoXOpWf
        LYv5XboN0O/zA90wlfLhvG7hdz5dX9uq5RkRN1CVvMAbVziXQ6k9TGWuH3LbRE02bSUrh+06e83+
        LotHlekUdsLry+KZT7tiNwLctK9LxautttTvdx7MfpXpxVmJ+2l82xAgEJnjHdRMXJy/OQIzL9g2
        TCXOe6/RIUTbDvNGrzmvaJOCcPjUuNuHQlsXm24hJ46SsODgW+34OOUBlL1zYE6sTG2nvFUd0WZ9
        pzP/8qfRfmzI/T2mx4e+jodn4YvSWmk4HrbtM5uY32zQcRJq5qD92++lvbdHU719sl8eMImdo0Ma
        divMe62I++6RRrKjtjJtZ75huRbpykj7aT7fMrj3bB+/PIBZh8jlw8zHwMb1Ba+w4vMxGIMXtFNg
        UXn2N/3XXQqIKZPMLISin/8qoHup25/fb4fr6eTIl+muYNDHrB2qyDlsJgM1Pz/ddj+/KakvQpej
        XBr0UOkbtDgKHrMO2cFYdY99BHEStMS8Lbe+0I+9DnN/EBufCqM76ckAu2h7oZN7g6zXXjdAk3BI
        8ftMdGP4zWe/Ok3McMSpHbXd5QFB0T0x9JbdrnJwP7/3xTCqH9lA7poO/m0r4UVaxfHr+P6aAOL+
        RRe746qkP38kGWCSo9ZQow4/dxEqTXmwMDP3SMjfVQ7fzl7SZbzBGc+1RIVNZ6lsq90Ko575B245
        AvwcjZfPywKo/ONx4xjHxtjxvIPseZKZhRUfjdMrHGBrvQvczXnH7MdSOJrplZHJ6mPeonMFKztt
        SXDLjXhakTyF55u1zOTMioXbSj7AkpIjXv7WXyergeMVHBatuYN+8wE+ouQwff9mvOvIKZJbzexY
        +lpNPtXT+CQ7GXZJWD55zFDn2PBdHY/Ez2CHJufjqn/5h+5uv7yf8qr68S2b86ayA6sVUYisjnlJ
        mfHxdnYiGNfxnQqZn6Dh6ogCLI91/Vdv1f32idBVgAXzxNT2pyu2AsRBB7w+07s/bovXCWol/zKv
        ddcxneevMkb0RAwj8eLprN8LQJunyoLe+sx6dn8gpbI/lKFylXVnQUohLTY92yKJcjbzpLx43Ka5
        //bt8GSlA69vYRBDqnuffje9Co+mjkk1+2Pebt4m4NU9I8bjpfG1WAaAnsPiRekiluNy5g/wxGIg
        zkz91JM3V7Q1g4h5Rh5lkxpFFeTJV6cAmoiG3efioI+8/DBne/wivvkWj5/eM7vM+phuYrSAvqU1
        MZbKlA2GiWzgxfAlmvzsjGHXLiKo1A+mQIwRTZKoU5i+lDCPoAGNwaKU0bvcmXjYqvSnf1eoZXP6
        452Zfz9gXj57+qqzhz/XUwP8tLaI0Rq7bMirTIfeLiY2z/+seWwXf/3HnDt+xg0oqQBSG4pEUzOO
        mLLTcugl40Zp5JaowyyV0czDxHmtY76+TmED5LKoSXhmbzTE2DLhVILOvH6/b6dJfzqgSyeD2TyU
        +St7ejK6ZIFHsB/IMdM1OwW9T54sm/0pvdgrE83+mgSz35i2/HFCZn6+MBy5BuqdbU9Bap4hM8+i
        j9abb/MAHsg2ldR36bPdPv1ITNXORBeRy3u1SzxwqRDiTeQofueUffDjNRY6js6HuX5kgvuBWHhL
        20nVpQOSuC3/5QnT+NifIAp9ZebFkg+nfdP8+IBYGzszql3tU3gjZ8vu7bhFlSgkgGZeIH46PIyZ
        /yLZXn8s5qgnVlKnQh+w9ykmYX1/ZcP1lDsgYi7ifpoKfxpQAujXr5pLd+WUtWKCyt47MJ3DLmbG
        ADn60GNG8IKX/p9fnHmf4IUTGdPVqWzQ6dab5w3ik0jlDzTby4cY87wYbxdZRI860vD4nFYZezqV
        A/f2cWP2ouZoHJdBCj/9t9NY4tRTbw06bK4y2wosiEfdPR+QHizHmf/CdnUfDyIc82PKvPwZtMKr
        swuAm46J7Z/dttOURobfPMXbdZhtOpJHaC29jkQN3brlpN8FCq6cL5v9UDn85qUQyypz98dnxt0u
        if78ku33C3+8ClIOB/dg0kW0fPp/ehcrSUF0YykY09JsVTiNyzvR7jlDU+x8KLotKoNs2Tcp+SHw
        E9h/rf3s7998+PmlYHlqZ39/9Se+htOf/9V7fvrpawUsgw1Wpkk3aK2zQV5VuMfDnMcN5O6qP/0j
        9kWxYk4Vr5Kf19uRmZm/4dOdDIEyNu2BDnf2Ngbl7ehwvC4cXA7+2x9M4enAKUuPtLC5Hq9ldzwo
        1+rAmQbNN+ZePizkY35Oaf2+Zmi8XfsUEAoC5mhBh3j3rip0bbuKufmkoan2akCXIdFZcrHsbJrz
        Onh7/ZkO8Y3yAXfVCdL0rNLPxjPjOsxVTwl3DiVuT/cGt78yhdPHUDDwi89XZ6fS4b1EGEtIY6jP
        g/gBy/7RzXm0bLx/+U+bGQ1FTX/mI/s26V9e5YtL6vMEbRMwhCQjftOvEa0SN4Lb8tAxI/tu4mn2
        l7Kj1vL/4f+T5R8gCASVXFcb1DKX6YJ83PUR0feDbAyliCI0zwfmyNcvn1DYDdCshRO5lSfXn5R7
        XaHX5Lb452/5gkcBVKUpEW9vBsZKKq4ezO+PGcOJxYMmb06wzX2MsxQ12fqJ1Ekhl0hl1sQVY/Lv
        kijv1YdLjOfbzcbvTlahic8O+9XTxPDxClro7FnstFU29SJP0W8/R3+eVqjNQE6QOH2uxBeFEg3V
        8X0FSdtv8DCuEn/mjwFFMnpSJOU39JcXpAU2md7kdTy8d2QD+eHxIu6WAKfvSPJQUF48Yh66OuNN
        3E6wi6wL8/W13fLdMfSgoHRLLJ5H/uoyZBv47VdYphChoSqDCZHPR6DCYKVzfpRgUKvaJL7kuNlY
        VpkNQeoJzExXr2xIx+sE4RGtsPQEsxSxUO/R52jZc/7q8tWKJzZ0Kin+8p1p/Yz3aJ6nzJn9+NQL
        qghaKCASLNvCZ2srHmCBVI0k6vOCJjU2AoiD2CWq4N5aPmpVBF5URczafAw0pAI5ofn9sRgv+3J8
        GpcJVu2nYOR9K9pJSH0PoK4uTG/quJxQZpow6yfBZu/xOg+yh1yFOGGGtU4NRibxAN2ipsS69k3G
        9ybaw1d3tL/8bNR2uwd8+mYillnb7Zw/iX/5O4g0QeJ3NV0VZTLeeDPz/bhYZJ0852csXFzecYXZ
        XobZ79A1270Mbq9S/bdfQUhEW0TDbT+gX15u3lwXTVWiRcr123jYea05n3rBEWTpPdiY20XvV2dh
        TGD2q+THP32C1ArG/vRgM6/xv/03otIDXV4fUvad80uwGdPoclH0vHvvtjK6Gh6wX14z87CqzPxG
        tme6NIZjIRQwOk7NrunhUXbDRvGgvekhfZfrjvM7Hxrl5zcRbJ98kt8bEUnGwsSboLK4QHZPCk3+
        UpnppPG8n8QbYLgy5/2mF6JXHGKZL5ORnVKHlOuFqA9IwUJE9v3tyccWRRvYa1KGRU3SyoE+Yweq
        0paIbYZbX5wiNYcTuXJKSzQavZk8K8D3j0yfP16a+V65TV1B3FmfhofOKtjc8xXRXrDxKXM2J5jz
        aNok4TceLkF8hTo4Ylo+B972P3/8l5ee36d2HdfC6+ensSymH4OJj30KECUmCXyJGLNfv4JM1Ixo
        Q5llPL2dsPStL5xCs9tk/fSMMViJemcGb8F4v7uhUar0GbBQW25bvj0/BOh7C8352DPr7EtToMi3
        dULSIOa0SpGASvNTMUKHRzb+9PkjBneSHjHmnWFyE447FhHvKUrtpPf3AanGLaTKbjwaU5W4e4hk
        6Tnn2XY2JI3ZgHtSvF89oOnMMh2cTJ6YdSu/ZbdcXl/o9fIwPc/5AW26TacEYVGT7VVdtRWerCuS
        bsGFzHkiH3NwX2jeT/jljX7f4GP6p9f+63VFA+hShFaCR5g273/ymS+QvU8wcdCNxHQVtAJqVmuO
        x1/eL5dHXT77oUC26kR81kQShs32O9HRvrzKX3+jF16c2P8AAAD//5ycW4+DMLal3/tXtPqVaQUI
        wea8cQsQLjYJCSHSaAS5AiGEiw22dP77iFRrpJHmaR5LqUoZ1/ba31rbFbR/rgBT+5MAjvCVocmR
        bIsP72cHyf7tYzc9V8EI1kEDzxE6Y3v1OnBerGoB6HYgo3ld8mrmKbnD3RM/yUrK1YShr1hCYh9S
        Aj6RXi3z/VL91+9WwH//j/+PGwXS//tGgZDUMlmpUsvpYROn4OwkH+qb+0fB9+mrBoIWCHSnGXE/
        euoLwVn+DNTzO8TnsfdrOI+PPVFWkVBQqb764CEePtgs+yZh7XUtQKI5OfbtEw0mcoM+fIX6ERtI
        HBMu1UcPfmeWEhqNVjF9PF+E6eNajzAx7sGkRA6DWiB5GDsXm89um+Wwm0dOUYY/PQenSoTIvQRI
        2vC6ZxU628BvLwYBLzZa9IINAiwwOahkV6fnWmHkYJJbTMNKlK3u9NqVMCt9kUbbvEnmbv86arat
        vLA9nG6AGp8jguP3GlK3lj9gWm8CUzG+zzf15ouZiPcBqDDppQ5HQ/xO6J14pXqXUEPdW7lLGBAv
        HVhv65IIq22TsHp8Opqr6D4Oq7GrWAs9CO2dqZO1tSSQ4boc4NHrZLo9eU8+68eLAL/HlU/miJ36
        6ZCrTxXQKvp7fx5LY6u6XOnJ63btCgLX6xxY8Fti47ynwfx6wytcb5sSKR+1rfgt2LNNN1NO+GF7
        6Jf9nSA39YCUK3eVNMVJEOAK2V96O+4IH3gUQzDY9zeNVKUMBiVCDG6zkiIZEDMY9yfFgzd2E7F1
        Obx7rnw3A9hmjoG3pTQn0xhUqVbO1w4/4HYNePgJJxhudx3RNnKXzGf/3UAQUQcbaDT4JD5eDIh7
        O6QX9/oNSG9driDYTTn1b+8WDE318sFjestIkb97i9ePLFTSpLbx+fq5WSy1lONGX5kzWsOd1nOo
        HBowHIIICVN9CuSy9Z9QGA4l9ixcA3aq6QHejukdtSTJ+VBuvgqMczfH+nC0AS8vrIVVYTAcNGAq
        htwwRLiVpi/dJRsffI6PQQXvV8axZQTYYgThVg0OV5ee36veYuTKBhC9bm9s3soqaJJhp8CvS2Ns
        rtxHQa/pwYdTaZtIjUSvH+rpmoFCPLGlPvyexYe2BRtrqKmRaFM1gcqPYcvICZvr95fTKGjuYFTP
        LUYtEsC0V4IBovq7RVPI7II1cp8Bs0gHbAbNp+eb8Fn+1X+uKPeKqaUuQqrcOlJ0XlV0056lKzcN
        Lbrf9b7FY64yuNqVVxzye8d/5xO0xHcpPshNNZ+MLob9dHao/hpcwBXoP4GVSwUNgWgE4i3vHZjQ
        Z4FNRVLAeDLKGDqWWRGoHyTAOwPK4I7kPbXZJUo485kKzFq/kKmRemsytlkHi7T3sXOroDVXWifD
        4HB3sTlkZ+tuDWkNQZpxfGn1V8+yELSKsnX3GN1zs+LG17VhpspPtLlkdT+p8eYOzjsho84xfPHx
        mfQdSHa1hM/sOoBx70Y27Cb5jE37IgIaS+8ObjPtRnfF8Qi+b0u/Q9l5vmix2rFkcuXnQbPLzw6B
        eCVZ8/40eXA5/zjA2s0i111AwFbfz0i5XNYJa7+KDwX/WmBbx5NF+V1ogLjCL+xveMdZ1H5z+FF6
        TCNx/ATzb798n1yw+RF31Xz7Dhl4Hi4atY5xxImRtjrYqI5CmGZXPXlyU4Fe2JxpeNqOnBiOaUME
        VQtpR9MqmNkqIlSfj+inzwWzp90Biqf2Qp29oxbD5V6Y6utLIDW7qABjsH3cITLzGFu717uYNsRv
        oRgVOUbfXW9RN78zVdE1Rm1exv1UdoIIt9cW0cIuXN6l1pTCn17avJwqvk2cFLjRM6XIG4SEKuP5
        CjUW3bBlP6JezNl9gHmdn5AGjXc1Kx3w4bAqHOwdd201vll5h9yPVBrc36pFemeNIFzTLzZ2vR/M
        og4geGejg8Tb48v/1pvZ1xApbhonM1srNRzuxki+Yzwlw05TBrXxNUB3vAiK9SHH6aa+hGfqxhYF
        c3LzGrjTw4aGxjHqeda1JvC6w4rqu/dccJAof/q9IBmoRnO3bzSd1yuK1+2Jc386HMC53RLshnRO
        mLGjMowv7UDYB5wC9nF3Ofyc9zJqvDKymJIrOUSb6EDP+UlOyIkfjpBcd4uT69KEnepPDJbzicPW
        egVTUU0N3Kq8RtPXncForHWiji+MqBnSwOKHTXZUL/HkUkMebOujzqanSaE54t/z8u5wmDQfagjv
        IgkkzBrSBraklqi1a2MwlV9LgC+Wf3EA4KOgaOiOQHjmJl72o5pT+SuD6PV4L/sZF998L+iwBvqd
        7gQ/4fOWZwy2J7DDtqrl1VrphxoaLrnTHVS3AQdWYcLwJqXYFMmYzL3sQ+hLKMKB/N5aLHTHJ1QL
        dYWDXZ/287u0n3Dwahv7rDkD7gVTq4VdV+JQP0h8dmShhJ2U19QmhxeYBOGegWGnM6r7RKymc49i
        FTnwhu/VfOVjzHcptABzEDDcXUHdPGWb23hXsHcKnkt9TARWuZfitA021lCcoids6jpB0kF7V2N7
        fRGwOiwTAu+b9cxJT/Jfv7DMyOHj2VMJfL19iv2Vdak4EUIZEmdwcOA3JZ8RvXeAVFCn0dc6JOPx
        2Ry1Xeg6pL41p4J1jN9h2+kttYyD2hMbRzn4Cm6NMr8jYHy94R0qq7eNL0F17AnMeArV8/zEqHWT
        gojIz2D3WLIKXspgck51Dss6nPDhlCgFfVCQw3K+d9QPWcxnDSAViE0lYRsoDWdCqNv/4S0dw759
        m+MB3OJ+JNzvvGpuw2ACQzPmZMJfHcjP+iyDXdBlBBb3FRhS7/EE68/6vPSrHWct1AVYy8oK2xHZ
        VQSe9Tu017uUbuE2KNaI3EI4H49rGvXuC0zj5nD/6QUSNFhZbWpvGPigoCDP1/Dhw2rufaio9Y4W
        yqQX6xaeQ42fLWepp6iYL9QNYaIgD5vbYujfP/0+jd0NR+u6qqaF34CluCckAymqhnzqRfhbr5N6
        zOKCNnlwjKcn1f3PN2Crl9ypufak1EHgYfFUanO41y0DB2hEiRiwKYWpr56xP0RbzvktGMBeEj5I
        /kYTmMXVzgRKc++Q8JaGitrTMgE9XDQkPz5BRYbGQ5BumUstI6DW9Hh6LTx2JibK1wqtv37tmssN
        0IXHeJAY9l/9uZVIeT0dmxYu+oVaZXzymQ8KgjG4cvR6M72azMvxqP70GG/vWT9dN9QHYVNZiMtf
        H7QLf0BM3w3qIrHtmWxDFchFdSWqKpUV/SibKwTrKcT68veW6j1p4PUidng730jxTcKygyt6Nend
        veKEy41rqu06LnFYy8QiQS0McCqfE47tk1mxtq902GEdU4skx15e+A3AcHYpTvdxX2tdTqCWdUek
        Lvu56F2tHburhtiwD/opizQbWlN6pG40fy1O49sAN1k8I1jEHmBvo5fhQxxP2ICW0HOk6QcQGwUh
        7FeP7sZu4CcXPkSUxp7zyerusHRKDy/6z/nJTAgMqlOFdzLdAXqcfFHt2ndGNDwMnJtr5sFvnGlk
        PGxXFqnQw4arD7YRUCY9kaUS2XAOXYX+8aSzphBAWYzo6fYu+2mqLgMId8kOG/1O5UOyJKgr5Hyp
        +XjfARfGQ6h9j+WVLvzEf/4KagzfSK0ZXULT4/AEyWHh2do4FgM2Lgc1FCaDFmY89BO5Goc/ftql
        h5vVbWfR15b1kKneLv1z4euWNBJpP6rXD6EDHUiVR0fdty1wdtS3LRxUcYND5zbxcfASUc03koCt
        UKrA1D3mUN1nw0gdr4wC8toWDFoGNXA0f1bVMIJtqkouQIixTqtY1q8H+Os3D7Eyk7kXM0fdCOGZ
        hmXPwKRdIAN5nZ2wd7mci/4lxRAYsbih2xMeihn1k6Kp6LulnukY1WwLe1+7D06AdzEw+SzcpEHF
        1FeoJdhHTjYTEWC/E2aivNoy4Pv028CLJQCiDtGSsB+GI1S1Q4Z4dt4UXJYHQR03ikpxBNRi/PUz
        bZ4oEmQ6BUPbzfVGfeoPuifYLOSh0ZG28Ard1WpucZ9tfeiRdYgN91IV/KQ/Ze3xMUds0VOY8Idp
        x9pWYl+qJ3bH2ceDsXq8fWdq7YVPMG2NligLH2P/8boE3FyrHvxQx0HrbXHg80+/Fn6gqFnXCd1n
        1zt0LL2iNwv3Flv4HZ5i6UC0Ncv7aX92ZaDvU5/aY+xbzL4pV2C2dYO3+b622gcuiVY9gj11vfbN
        WeXPqSZDRcL5EL1B30vGUzXehUOtZ1Nb4zq/Ifi6bibqlfM7maL+NEB6V170Tg6o4N8H0uGxOd/R
        RvA5H5uz7cONpF3Ia6nvuQUjg+jtcrRWN6QfAqYcofxoAXUqcv7lAx547NItWbHsEzC4XmfqTm5U
        jOz7J6G8yEQYcyzRAEgczDZtHDjcrfHHk0W7oVoJ/cd4pBa9ngFz1fVVnUZYos395QK+dhe++MCE
        ppdr3PNO30G4rvb+X17A74/bdVM55hpR/XQq1hehItobNz22pbEHvAxwo+xt/0mjjSaBCUiFA6ey
        nNBcCw/OSuV510i9vpKVEb8qDj+wW3JzG/t9MPLa9TY+LJPJxBnmzGouqCnV0BMLamyvq2KqGY7h
        /SwM1NWDOhjxIbqDZT305+e5vI2d//Dyc8Q9n45eDhxR7Ghu7lfFrAFHhbVe9mQdKceecW3IwVdO
        KyLvHTWZl3pWLtnLo/itX6xp6Gj+d748BZzBdLk+fe3R++Hv+wvSPctWO4WJjXexnla0l4zyd36w
        dzkEYL0ybhBMa1vDDrmtqsl+DhOM9voaR+seW+z02j1hVcUzWQWlZ7HVM2DgYpXRkm/ogKTpzoPH
        9WFHvf3a4POc0Qb6Q/lEZdk7yVr5bgi8ru2a/viBelpUwuh6/WJflcyeeTcSQ9PFEY62rxmQo5AP
        MK0fTxocwzbgz0OJYJX7KfUe/Q0wFU86tCpNXvhc4sOWSTWsm/ueOjTrwaAez0ihppuilVfrlsiK
        laNeifTGXqJvrfUmbEugd/eaOo/nM5hfcp7Dt6Tpf+uXz+1FUKmDJCI4+bpioAIEpnM8YLdkSvDH
        U4PX2ISTcBdweE4JdNN2xnczGQKWz6cYWBCJRPoIx2ouxIEBGq1kIrhXXLCf3wsOqoRWB+1gzVH4
        UcChVyNqh1wrmBJuUxBv7QfN7GZVMBUrS8Jfr3B3reaApdsKgctGfeHow6uk15PsCU6sv2DcmTEY
        2Xpq4GiVDV74mbN3AlvQDKcjNW7X7i9vgqhGZ4ojkYDxQjECt+/pgm3Nk8CfH6N01nB4K2n/x08Y
        QBsfz5FlzSt9KKFaNwNR3zoDxIoOJXi/nwds8Ozdj2kTKHDJM8g1dbf9/CVqCb+BSBEz0aUaF/0A
        i98h8FbYVn/I8RH0EDfYdl5pP2ShGUJMPw3eGdml5+7XkGEAHxqRtudnP2kF7eBSf3h3yeyeK31d
        w7du5WgKNxTw+hGHIC65ixFm76ozdh8Zbq55TDatO1rTQ193sIJFgCMz4sXcyybUNtlhplZ2vhTT
        syI5cND9hCNhFfXTT4/0/aTQ61t5g77YiiG8vZqMRou/7ecTjwF7IhujvfbL+/YCLNtJQzyGtJhC
        B9rwEw0jNsxYD+TV9Bo0Zgo+gQnsEnZVRqIkaGdSly0T6cVPgaw5JKTmZVxJsnN5wo+4NXEwvU7V
        tNQ3fF/lN0V7TQc8gbINZ9kXsL89N4C76ayDHtkxWXvtFqwxvnjQGXwNicv+Mldd3YHknSANEXet
        Mbo8HS2noovvLRL4n553rd9RHI1V8g5bFIJPfzlRW6y9noNkgmC1Uibs3O9eMi15A9xmqxvdWuE2
        kfBzekLqhBLNzGPWE3fXNTDcPz2KS0nj/ZKvQul7+ODlf32qqT9OMqiq8YH9gxaAKRArBG86WhHg
        PkExMn93hb+8UMLre0AXvwv76eSQRa8XfxtAoAuNRdH8MBKx/AYCkN6BR209LarZGgGCqa+caTBf
        DSAveZ56Ox7vNLtc1sXPbwIgugV2l/yIBVvW/embqW68QlHj+QqPt37GOFl9wSyZRITuFKl4e618
        Lur1dQDJgcZIQbNa1EpQKJDN7pOwOSeAhZl114C4LbB9ileL3hwyOI9ghUPNjq2pe2zQj/dwpohh
        8eNJOH7vIRFVWlVLXqED7yLucWRnpKK34DJBXFGHCEv+8l1nXQoffaMS5tzsYt4eruqfPwuHvWKN
        r7d4VXeyH1JvI9uW9L0fGziNQokxWD+rGW6uJkyi4YjzcAOLqbdzFSa0LKjznLA12TGSIYhGB3u7
        V9DPpVfFsN9KB+rWGk8m19t4v69xkJ+rYFj8OlT0FVv60yYYBx+RP/3jz5H2zI+BDrCSJGTd+k4h
        p9I2BL88wQolC7BMLSe45M80eHz2nEtxdoXfIDPwwhfWxLJLCh+H65M0Usd6+uaJ+utP2Ew8zZrA
        eivA3Qm/fnxTjOOgXQGgzoNMK1/pWVtEjgroK8I4Gq2EYbqRYRTXO3raqNOSV7yff/UZCDq1Wnkr
        pFApzwHZSE1T8YWnoIsujOL5lnOqfOdB045PiazoYVUNzvkRw2tYT9jbr19cXHcPAfDDdYM9v7IS
        ZuNtBjN9LvCSp/Vz+hEmKPutTvGY0oLt134MDMFhf7wnRTvfA2P2emEj+KgJ/zRtC/ZjrNLYJ2Iv
        zutTBpGWzoTF1q4Sx6BP4elYWn950rB6RaH662/B2Z+saTfmk6rYXUUdmUtgvvltCuVZP+E833cF
        mRVH/uvngXuhgHm3JoaOtM8WP/wGEwe6o50/vU7S5ee5OvseWPwW3QlWm/A8Fmu4oncTO4LuAY7x
        ciM2yRRy2B6NYMz61x0s/pqG4gcVXBZVG5zko4+zGj573myHCazEu4B99hiK4dYbpgZD7lL/xR+A
        49dXgGZ8av/yqFk1vzXoq5eKzkcfFDMBz1Jb8gQEdr1c8U2MDmq5iXp0aiDkc1+pPux8dULDmGDO
        EyjY8PsuFHRd9HB2tq8OTkZwRqv5pgI+WeUVeGF9Xnh6C+SD28bg9qoznPbaC4z1vqlhBS8BNZ2b
        nYgw26k//sFG9hKs1gpfjgbLWKe7Vjd6Tp+gA2vHiKnPsiefI1/TYZLmxm+e1HNfV2LooOuJ/vXb
        5nSJIST+E6mJvU5ok5oDLN2ixtHiDxYem1S9A4dl3qVxVo+tA5e8ghrP9bEQc5YOcMlfMDJ8Dyzn
        5wibzRthozdpQX71L2unCi9+KSGzsxFg7voF/uU3JAt0BqK3n1JHcMXFX9UQVh9RINriV+aoyIWN
        tRWf6NsIu4qJ92cKN/bugL1XW1o0n6crXPseJWR+vJKJA8+BqcMUNB2dkjefS45gu+cdeg/H3mJF
        c1XA6/2+/eWf7L6SfZBbOqR+2L8TjjTvAHZhJdLIjJKEi8aYw+Y8u+h1u/rFPLFEh805vZDfPPE7
        nwwZppDcMTpHtGJLPwKGbY3UqD7vYt7gqwx++eA+9Xow8vvWg213SykWqzLhqz1QfvuNVrEj9X88
        emWrLTXiVdsv/J2B5XlwkOWrgOWHC4JImx8LXyE+uXIbg5Wox9jRQ5kvfv0O3ZzFRFRlGjBruNfq
        Mq/Fun0qq+mCPwJc8mcctHbCRVasHbh5P3ukNMrEJ7rXVY2uG0SIKoN+yk1xgN8ReWTz3dW8nqo9
        gWeII7xt4BXM8BMgdcbsi8R7O1osCzwGkz6H2L6/XtUwdJ8M3odyQ3fLfIXFh2cLHyI9UefrvAva
        WBsV7gPwwt6j18CvXsBqOj2wn6yqajqxVoHeutzQLQ0+PbMffQr1/dHHv7xyyDbzUYusScPB1+l7
        HtipDhc/hwP3YCdr9VmH4OQFbySvTL2aX86Ua9Unj7EOt1uLLP0YNiYL6TK/AnNQt1e46Pl/9Eg+
        vjLNkZKMrIYoDLhv9h68YRbTUAtAxel8qeEjUg7Yy49VP1XRuwXkGlBsrvQETHJ6PABSCTr1dWRV
        lAi2CJ8r7NFfvyaz+HWgn4gikZbn+6YfeYIqdjm2b48dqCUzbjSPweFv3ktepw2Bsb7SEZ/OdcGo
        ccygdxoYemWJG0gP4yDDN657HFmpXM35XtbV7nHVqDFGXdX3pTJAqpgQGwSbyXSqJBlOAF2JyjKd
        U6l8xYDTgVEztr79tH8zBfznRsE//vnP//n7zIKmvd3fy8WA8T6P//4/VwX+nd/yf4ui/G8q/322
        ARny5/1f//WfSwj/+vZt8x3/19jW98/wr//6pwK1v/sG/xrbMX//Xy/8Y/l9//2P/w0AAP//AwDm
        daMVN0EAAA==        
    headers:
      CF-Cache-Status:
      - DYNAMIC
      CF-RAY:
      - 7b6d34be9caf16f4-DME
      Connection:
      - keep-alive
      Content-Encoding:
      - gzip
      Content-Type:
      - application/json
      Date:
      - Wed, 12 Apr 2023 17:32:00 GMT
      Server:
      - cloudflare
      Transfer-Encoding:
      - chunked
      access-control-allow-origin:
      - '*'
      alt-svc:
      - h3=":443"; ma=86400, h3-29=":443"; ma=86400
      openai-organization:
      - own-45h3iv
      openai-processing-ms:
      - '1177'
      openai-version:
      - '2020-10-01'
      strict-transport-security:
      - max-age=15724800; includeSubDomains
      x-ratelimit-limit-requests:
      - '3000'
      x-ratelimit-remaining-requests:
      - '2999'
      x-ratelimit-reset-requests:
      - 20ms
      x-request-id:
      - 3301ccd4f99ce79864700677997b0a0a
    status:
      code: 200
      message: OK
- request:
    body: '{"input": [[831, 677, 31172, 272, 762, 14087, 68, 17, 64, 25350, 1774,
      1897, 51542, 9081, 19272, 1135, 65, 1774, 67, 6069, 712, 2689]], "encoding_format":
      "base64"}'
    headers:
      Accept:
      - '*/*'
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      Content-Length:
      - '164'
      Content-Type:
      - application/json
      User-Agent:
      - User-Agent-DUMMY
      X-OpenAI-Client-User-Agent:
      - X-OpenAI-Client-User-Agent-DUMMY
      authorization:
      - authorization-DUMMY
    method: POST
    uri: https://api.openai.com/v1/engines/text-embedding-ada-002/embeddings
  response:
    body:
      string: !!binary |
        H4sIAAAAAAAAA1R6Ww+6Orvn/fspVtat80YEpWXdISBnWgREnEwmgIiCiBxaoDv7u0/wv7Nn5sYE
        JGLbp7/T0//4119//d1mVZGPf//z19/v1zD+/T/We/d0TP/+56//+a+//vrrr//4ff5/TxZNVtzv
        r0/5e/z35etzL+a///mL++87//ehf/76G0JJouZzOIPpNUsDEMa4ocb2k/ZTfI9LmCZCQq0i/WQz
        2kov6JoPmaKj2qiz7Q6m+IncK0YZc9TZnE8yKLqLgZqEuGz5zDsO0HN/QcsYcqAvdmlysMeix6qC
        eDCzJ6dD/cURbD6mD2Bf9qmBr+obiu7PT9+X89jBvqkh1ufsmQ3G+GwkewQ6PeXGxlms/QVBfip9
        fDpZfbZcLWOAvtJVZHe67tlw7jcL0HtdR9tvrgCWHbedKD0/AYKnflaH/fugQNZtjhQ7vsY4HzUy
        VFGrY708u9mkiokNo9oMsL3162q+1JMucVutJhOIDDAFFm6A4TdnAjbHjo09uCHIalUk07lQGY2D
        dAM1p7ijPf8JGWt3XQerfe+RwxG+2ZSfYA5MNO7Rrr9YKr01z700bsQEm+/7Bkxnl4vgC57P2Fji
        Akz2qx6gUBCPqmHigHF3IAlUbs0V44BpIfuejxNIzOiAXcEB2fLBiQzxhXcJdxEfKhveyQBjeEuw
        d7neMvp+ZgNUSrGmxj3i1VmtEQI71lcUucUho49Yb8ARpDeKv/kLzKxICJwM60Hx8UvD2a2L/GDQ
        r0bEu9aA2T3uW1C8zBOOgblX+3s2KpD1SY44Vz9WC3CdBew1lFAUHfeAWcUcSC4RYzK9yqGaBc6A
        sNl8eXy87VJ16s9nDnTf2Ka4QEK/jJKygf170Kn5+B7VHXzTAeRC42D97Hjh7DS3F2wF8YHVlNP6
        +WCnMngNi0K16eI77Er7AWiv8IBNaLzYgJjvw/Ua1fL2/qee4S1rGsSPX8K+l1MdQDuuRWwFG1KN
        u/zSwcK1LDSVvVUN7saZYH99LGSJK1zxJOl0AO8Foe6XJYB9DroMF9KcsCHTEUxbX26lw65Vcdx4
        vDp7r2ERTTa36JDXG0AvzM/hZXrssRy2mTPkRmPCrXi1kGTBRl3gsBXFz3C7YWNId87X39kKOF+/
        kOqCX4czgoEpJXIFsfkQSD85j2MEhqztsV7bp360xmcLT6bPURuLczUisc3h99IpWOFZVT07SRG3
        WxVa9CzxQB2oVvngHDOdABEn4fRk0wQn9Dpi/SpP2VyxiQObR8RRGwyPagmvHwgmTnGpe+rP6jhy
        Rx1uTLnFsuSfwbwRZQUobe+gj9ILFeXfLYSjPGTY7vJv2C3Dp4XmPf2QpyJ8QuZcn+bhyziZ6tbz
        40y1l/PwjqMFy84mYpP4cn0Azk+EfTm79GzoxgW+7t0eK+JSqNN1L9VgCHeEugd500+xuG9hNMwU
        axP6ZrPYIxOE/o3DVi1fq3X+bLjLOYOeLEXraV2dEvFbEx67/fcYLppJEWT5OFKvaXfqtP+8CAwy
        boc+gOpskfR3BD6Xk0fUZJM7bF8qL4iE955sN0Vf1fx4tCX+menoqsdqyBLrZgL32tjYtHdvNjhb
        qYBiFOSk065LOJq+v5eaTc9jxYi/YMVTHqKzu8dqqwGHvJMz/2e+T46bgbfBzQvkv86IoBPo/TJu
        uA7maaiiRe0Lh3nzyYR6BiG1wtMlY87+EsCUrwGWD8UjXOLOQ2B2PYSddquok3ZtN/C2FAlF00MM
        h7tmL+DgPzcoiPOWLbsnZ8Iacjo2QnJiQzr4ibQDIqAGMvxsSV6SDt5Z8cD2tS/6KbCMGqRHbab5
        fjmrNPafPvjhbZrFdjbVTm/CnZ7M2FmGBDAvsAlMhWOMFiP+sqmVFA6y+ihSM9KPgB/vgg1PD/uN
        yPMGsjGuyQDX91ErpVn1ANy5gOCsM2xnuKrmIelkmBiFSnXZfDgT9p/ab38SoEmgor3TR+AMlyNV
        65QD8/dtIKAvaYjNIDmFzGWmC7Vvm2GrNCtA6nuzB8/WJNj1jC+gx5vdgDL3PHrU3iqoKxJE8PYS
        2a/+GUPuEMBk1x2xetHbcEidQAT+/m1SN8/4kPbeRYEY9h9q7i9+OP3qwTYeE+K9tAznzD+k8HVH
        d+xADfQzz6sKRJ8OUbuZ7z1D43eCUX2C2LCR4PTV28yhZX9v5CX2QjZIV3+BXrjR8fEsNdkgv7fr
        Nuc1itXxlE0DLk14oGjA+i4FjK31D82acIirNE4dXgHzYaC9vti23Uu45IKriHtX2GElvrycEWis
        hhOCOb238dxTMR10OAfdGyvHtFRZN7QcKNSNQT354vdL2VYLODXAw3bTxWzFt714+lzale82jCbW
        2YbmxcFoZ3jPbIRH34XRMvWIkx4ndbwJDoScLe+wFbEzmzzxIcNqjxYyL9HTWbwvhKChHwWr42Gj
        kmvz5IB0uBzI5nkD4QzLtIPpB77w/VDq1aTTzD98onbBxVv7qHM4yO4f/uyPJ4PxzuzpIlVMHcts
        NjNWNYsJQ7pNqDYZr2rmuVsMq+eck13qcOpE9XwDV72Aj49Ly5YH2iRw3OwTLM/cTWWH/D5BMRqE
        la/qinrL5k99Y/tMI8aGt08gsgqfPO02ymZNYg00zvKAdqkTORMoriUsuquBHXvZVEN8AyZg7qIS
        4eE/2CLifSlevlZPsRXu+pmSVysN7vOJjez8Dml2FFpYqNCgcZkwh+x5VYM7ZCVoV/UKaLVrC6FQ
        DB6+E20E83WT65Dl5wDrdKzZMoJbAKOcO1HPG5k6J+KegCEUNSISj8+m4yvK4Z3jJewEcdWPP73n
        f8uIGpfKUufGi/YgY1mAlpV/ulGyN3DVh6Rzj0nP3o+XDAN37CnS91+H6ebUSr/6RMvlxQbtem2g
        FkSYqq9r7fSPWK+loHIUBLh0F9JH0LvgWGse2bszBYPGVymcnTihpg2Hque8MYCPR8JT6y01YLhs
        cvnHh2RQ6UddLG7mIUe3KbZzSXZ2SnP0oY39kRovTgM7WG1kaALbRod4OqrzovUR/ADdxI7OanXy
        rrMrLVJ7oKiKu34yxmcNNqbSom8RltUwLCcIabk8qL0T8oqJAuRBlYIOCQLvVT/8A99Yv2N02Foq
        23W8DC+Tekf9VuKqYVIODSQVNPHxIMgVO7mRDAzhNlC8KZxq91Butijt7yrZPg9qxshjCeAcnmTs
        ftkeTEHzJHAUnjzZnfzF+bO+77B/0SPvRow9iRLA7PKlaGN/eWcpKBChFOgq6a61ANgXJzo09ZKn
        9iWV+9lVuxjy013EXvnW+jl0YQrumHmIB2bisHyTu6BwCCGgtw4hDR7Hl2ReLIz1HgTZzy9Aw/I1
        7DzzV7XEPS+CUC5sciieyKEMl5GE6+KNsXcyVbbqU1ilMofdl7VUHTTLRLo+QUWWlZ8GTdQnMGSu
        j81nUYddJccmFE9WgAC62yED8TaCvhPFaFtcNuEQPW4NfJhaR7VHaKjMb24djN/PD7Uabex/+kWk
        5fRY19Ou+vxealJz5TPy0WM1E0YtRBCDZabGqm/+8JXkuGeqgdmshLoWdLjqM2ryNz1bhLSWIa/E
        AT22Y1+xweAbePCrDXVPd7Xn3i0QQcSwvq5fFY6hYxOIoedSrV2mnnkLzwPz1MrYu0ZtPyewS+FY
        4o6u89ePb5Im4KVHA1rnT929Uqc4dOoVYxfbabaMuVcAxz1pVE8XBXDY/+qQaxGjplspIWedMgjS
        4/aDFU7KnO8PD6tSbJAgUw9M6PrhDhNXfCh6a4b6XPWHlNXLAe0spe4pNxw0uBvm+acPwFyzTwH3
        7m73x3/MsAw6uHxwRfii46uhP595YD0r5w9/Lpr5QcCrwET48YvAMpPXAAkgFLtjUVeMPEQfBqLC
        sGU9TtkPD8Edzx7aRfcrG/XrV4ap38VUWfU5S6yzKYa7TYQE+yIxkor7CZ7MEVNjCFH4zoekAJd2
        9LFyChgYes5SoDN/MLb6XnWE1Ch0aMtOTU13xmBOY1RARxUVJDbzvZpO3ExAQ+0Pti9p2U9l6qRQ
        fR8kMjdbqi7ZXhrgW7NDAoaJqtP0hDKUN41Ctvtv20+PezPBiPVPxOblGq71Jks//3mJcJetfJxC
        1QhrjJ63LJzFz2uBWPc/9GJ4x3A82IEMU0otMgHv6JCXckawfmgVPWadpBJnPunwYmsC1b1UzoSS
        XWNQS8GTmmg8VOz96JQ/+hHE8pf9qSc1Tgnqj+Eu+15OQyDer6eUnkZ1ddA1cv/gubpVmUPze6kD
        Te1LInSFo9bdIdZhsnv35C7nQji1G/g6rOuFWLR99ksUpHuw+gMqj/CdkZ9/SmTjSbF3ap2pjFsF
        Kra8IOGSv0KyK+1cXP0aee+LPSDhlW7gU7EYxTx3CheL70to5tClnoYsxj7JWYTQUBM0P21XZdtv
        Xv/wkuzSQGSjwGEInttCpB7eYzCwq/yCV0czfn6/X4r5XYvrfkTbpMyyxfYTuG8+146I8vsBxkU5
        dPCtmSEBK96PbxIkoPtGNj2lTqTudsniQ2Tte+yNkuHs4pekwKR5CdjazC+Vqr45wfsuTMjyFKBD
        d91GBiufoWeFFHUqRaGEp6ZYqHfzl54B7pbDd5Y/kHQo9V744dO6XlStT2W/mNenDh9WBhC7Wglr
        HoNhwpMUV+THh8Nrlgi034OGAyxPaptbDx467vNBsaAEYLfWPzwy50iW0UXOn/zAhEeZ4jSu2Jd6
        ow29xdQQ3B1rZ+qEIRUn4y1Su03CcJ5NNECPKeKffGJBhjfBRD49Ubv6m0nWpRSyPs2pfnbGcCZM
        GCDd6z3Gz4MaMrNGMVz571dfFTeXdgSv6SdGklKOIQu2uw5at8ik10tlOXNcNwRCeDKoG82TOqRD
        kojv1zRQX7dmMBp8VYjzC9nYLneMDf5g2jAaLhFW+uLcTz1nyfAeo/qXN1WkeyctbORNR5X9s1Tp
        lfYEoPI8UEeTsmrK36YPs6EqyW5fJIDxps7BsfQ66rHFVvtNr/ugZNqWehbUnYm7nHIQeQQgsLBH
        v8xTlMKV/6l6uPCMfM5HIq34hA2pttXFM7cF5I4XhcoF32RrXtUCXuBz0nPpLht/+v9A3eFP/kI+
        s8SJ/fW+0NPEBf1ktqoJs0pU1zxkzIbRGzX47p4hrs3sAiawvciwerIc4/3ryHZ1NMqgXLqalGxu
        w2q/dTdQ17oJe/pZDMlZbEtwPO0xdWLD75eclS0smb4lkrPl+xlfDz4oRaGhsuy1zlztXiVUi/dE
        5TAdK6K62QZqwdJheR6XjOkfoMN8Lzf4+LQHlV0umwh2ju2SpS/m/o+fFt0NplZ/mPr5+6x4sM4H
        4kKBZEuwf+fQmU0O41yTw3V/vCCwYod0uVQ6i3W9Erj6a3wE4tlZHk6m/PzAH333hdVGgWJEBOq0
        25fa0Z3IwSA67rEhSFw2WM25gBwvuKS/HSrnl9+Bk3/MsZPBsBJ+eSRq9S/G9PwG86xfVr3YKlRn
        xRn88ZMRUFSqWh2tPox0CyCnycbyi4gqGeQmhSrWnjSZFp/R7LUzAfdZEuyY7SecEPMDUFZVSm1h
        PDnjLr930H3MLtX0hwO4U2CXsL0FOpE0o3Kowmfx4Zq+Y4y6g60OxX1vQ87PXbSjHgQk7jwXwgsx
        qMWQUs23xHqJXnWY8MnekIzVys0HumiLK78Dhw0fJYVRbUDCb1jF5lVvAGGcjxip3j3s1/3ww0ea
        +Y4O2rOVQPDjX/nqluoySjYU35miUXvRaUU/qdPA6cIjfOSsOpuONTJhOxkvVGvVy5n40TIBBO1A
        MT6e2ZzGeg48T48oqu7ncFj5AszhM8M6xlU27cJwAYGmIawXFWbL7mgqEJwrRHabELCl2XXNT69h
        D3evkP3m/0FKGW2PE++Qd9yaMGm0nBrajXOWecpTuI6fYnE4qJRU9w5cO3N18h+3msjwKcFuYDM1
        BN7rOfPL8XDN36i5Ud2eb7HeQSdDCGtyZ4Kxk2wR7u7Bi6qU97J9ijY+sMr2guWy//aLXsyu1H2n
        N139UDWfmR+Dyt7I1Ghfz4y97/sIbitFWvOrjfNbL9gKuUYgc8sf3vDwziUvfLRbLpyPHxHC8y57
        4BX/nDlg+gZEQFYxxmZSMUHrc3ixnwE1QvJma77e/PwVVp5C7rBWyOM/v4c5IVYnA10myDJOQNtp
        q4REvuJcvI+vCU3O9Annn55y3OrxJw9Z/XMrvt3LhTrLsGeTKvqmJKlZRA6weYcTMRMFFofijMab
        8nbm/Xh0f/kMaV4XJeTBePSlLthz9Ff/y4qHotZVZ9JWbdbPfe6lcLpwiGKaDCv+tC3Ib1z706fZ
        YkALAkfdKzRf8655NvUBduk3I/AjEMZsMYlha9uQPJfMYN21nmxpaaIRa5fhXC2xYy/QLhhEgACH
        8W6/V6ClXj20UbYUUFmqcthu3R7Ldc5X9Q//DSEbyDbuE/WPPlr1CfaaJ8nm5X3NoRj5OVYbLIC1
        H+BCe8z7X97NmHFy9uJluu+psm918Mcv5op2xMGP/w01cEUnvJ2xurUPbNWPCajfmwvV51f7y4sn
        SO5ajMODYWVTnFg5EE/vEcHf+g/xFEEjifYYbTlX5Z5CbsOzaY/UcjKqzmeWxH/4NFjELuPboVyk
        5prIVAlmSWWCcljE3ijNNa8wAbuOogyXhpnU6IakmoXLqYS9JAf0hqM2m7K26sCQdT22BbD0XzOw
        a3C5dTl2V32wAG+Xwwmnwk+PgLE6eHtgHMGLCPblDubibca/vICquvwNGWNb7k9eYtwyyEjkfxFw
        JcnGCjp8M/bDn9PGu1H9rOn9suYx8OroBrZY7ju8v3H2sOGV2y9/dpZ7lPOgm/WFcJWTgjEcTARF
        b3fCx+tiZUuvZTZ0ZpujOGB1tuDXwEMkfPZI3PpaxS3gmwLaPnWszrXFeGYmNiw69iKzRLlwXvUF
        2LtZShWO50Lm+WcFekwW8bFCL2f8PisOCkZyxDcIbj2LbpX2y/OxRbt7v2yOif/HH54SU+2Zhrcp
        kBR4oMXbGdkUNF8CXR5VdMWzbIpvwIZdkN+o4u/CcLbd2oTJw+2wNZZ62Hmt44v4bidUW843RsQl
        juCaf6/80DnL1+kDeMwnGXGrv52d5lzCOC4YXv2bQ9u44H/XZCmVm8O3JMilxVLfaH6eF/DT6yJ1
        vA2VJaUOuygIROgc+A9ZqF+rzIK28md8aMsNDlGQ1wI6nQlVNncLsFo5+5LnlRT99Bg7XpO9SMtI
        W/OOse++1lzDxTQp9g5l05Pu7bcw8oKSKhUI1Nlgsi5dgzQi+/i6BU1pPdZ87bUlYB+Sagz86wKu
        nQ2oE2myM+vXpyyt+RE+Tu9tOD9O3As6Tvulj+hZMrLd3m14KV+I9NluYKu+6aTrAVOyj/Tn7/+J
        oH8THYmDfWL8ik9wQuWRarwdOsvrGXa//Gv1n+9slLZ3XQwTd6bnR44rYft57cHrtD/j+9V7sjlW
        5D000fn+X/2w862SYdSLB2zIreHsirccwzLKG/IS66ka6/OxhdlgnEhJ1EFdtsVTkZ5b+YHRik8/
        fQjRNt1hR8T7bPzt73iM6j/9k8WhYfKrd/IJIcuGH59pncZj9XCJAccEroXzdzOjw059M5Lvghj+
        +ncy22N1ycRPAoVGTn9+M5uHQ2wffnkRWN9HH0GFfn6E6iGSWG1aMpHm7ubS42FjZH/G6/TWHgkr
        v5EUdgV4yLGKjzcShqMQZhyoFNJSA7SlM/mDbEutsH9gH2SoGrZU1eDt5PjY6a3D2t/FA+ieT48c
        0jZibPs+IBix7xMbpqP3bBbqBmbD6US2eTCCmeed1T8qC1Xz74dRuoEDWPuxpMiGOqRrP1T66VPX
        ughZH+3fJZhGM8VojQvW/TcAWebLP3g28N4uhpUNZWz6rxz80b9aEGNqr/3Pxe33MtgYtYeNu4dD
        cgizPVj7g0gqhFYdUsQHohJ4O+zykgcG73pAMIYCI+Kvv8xJmQ3C6xJTjPE2m3zUKICevxck7ESV
        zSkrG+gNloldT66c4ZtmHdxI+hVbkAsYG3VNBGsej5ZTwNjcGpsCPj5OQaRVz8/7qW7gQW4isu9d
        uWLupdHFv3+nAv7zX3/99b9+Jwya9l6814MBYzGP//7vowL/Tu/pvzmO/zfl/5xEIENaFn//81+H
        EP7+9m3zHf/32NbFZ/j7n794/s9xg7/Hdkzf/+/9f61v+89//R8AAAD//wMA+SttleMgAAA=        
    headers:
      CF-Cache-Status:
      - DYNAMIC
      CF-RAY:
      - 7b6d34cd99e416f4-DME
      Connection:
      - keep-alive
      Content-Encoding:
      - gzip
      Content-Type:
      - application/json
      Date:
      - Wed, 12 Apr 2023 17:32:01 GMT
      Server:
      - cloudflare
      Transfer-Encoding:
      - chunked
      access-control-allow-origin:
      - '*'
      alt-svc:
      - h3=":443"; ma=86400, h3-29=":443"; ma=86400
      openai-organization:
      - own-45h3iv
      openai-processing-ms:
      - '22'
      openai-version:
      - '2020-10-01'
      strict-transport-security:
      - max-age=15724800; includeSubDomains
      x-ratelimit-limit-requests:
      - '3000'
      x-ratelimit-remaining-requests:
      - '2999'
      x-ratelimit-reset-requests:
      - 20ms
      x-request-id:
      - 3dd93c4866672c1fff861e8379706c22
    status:
      code: 200
      message: OK
version: 1