haiku.rag/tests/cassettes/test_embedder/test_openai_embedder.yaml

267 lines
54 KiB
YAML

interactions:
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '185'
content-type:
- application/json
host:
- api.openai.com
method: POST
parsed_body:
encoding_format: base64
input:
- I enjoy eating great food.
- Python is my favorite programming language.
- I love to travel and see new places.
model: text-embedding-3-small
uri: https://api.openai.com/v1/embeddings
response:
headers:
access-control-allow-origin:
- '*'
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
connection:
- keep-alive
content-length:
- '24964'
content-type:
- application/json
openai-model:
- text-embedding-3-small
openai-organization:
- enfold-systems
openai-processing-ms:
- '179'
openai-project:
- proj_XYweeUJpJHbbRSNsezto5Wfh
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
transfer-encoding:
- chunked
parsed_body:
data:
- embedding: AWPNPChXA72YgVa8w/PnPPHkEz3dr1i8E/M6Pde7PD2E2gG9bgB5vHrC/TwV5G67ijsEvA+DbDy7x2S8UDOTPOFdALws7YQ7TlDsPPF3LT0pP109NsxivLn8Y7xLlDc8vwimO1oqF72H+kI8b+OfPb3Qvjccu7E6oIcmPR1XpbxmrkK8TPLRvJQyiDzSxyC9PGu+vID9zLwTGW49ei/kO2if9jzYlYk9bgB5PfF3LT2/CCY9276kvL+bv73DYE48HX1YvJa2Vb25FIq8iofqu5QyCDwphhA8Msl6PRT8FD3hXQA9wBGAPQ+DbLxOUOw84V0AvZiBVjyYgdY71/mVPDYKvLwbRXG8BgKpPKG2M71+DJk8A5s0O5juvLw4l+O8ZI4BvVJTVDyOilI9+HSjvdmscLzGcgK989XHPMXWjrySZ4e976wsPddOVr0qtZ08YOBZvI6KUr2PJsa88QrHPOCDs7yzRqE9/HeLPDLJ+rt3fIm7z485vYM+Dj2o2dw8qTf3vCvkqjzorza9qGz2PDQ/Oz01AWK7mFsjvCET2jvTuNQ8au+DvJFeLTyiC/S6oZAAPYbLNb3BlU29KYaQvNFaOr35yWM6Od6WvMnB0DzH9s884rsavEtuBDwU/BQ90/atPBl68LvTuNS74fCZvR0Qcr0nu4+85zn2vNe7vLz/KmY8Jalbvap+Kru9kmU8KwreO5KNOr35ozC8S8NEPfF3rbs4l+O8yNAcvc+1bDzjo/Q6aYKduwE9Gj06ego8zp6FPeFdgL3BQA29/J2+PHxBGDyE2oE9iAOduy/nEj23MWO9i2qRPE+Xnzw2X3y8/V9lPIrOnTtLw0S8VWWIPBeJvDzrFis81JKhvGKFJz2734o8WEfwPLieSb3pBPc8a+A3u6ah9bz6rAq9lyyWu5VhlTvLN5G7pUy1O8hjNjwC/8A8B56cuxNgITzfJRm8A5s0vThCIzvO88W8hl7PPF7AmDyo2Vy82FcwvC96rDygQHO8E4ZUPX3dCz1fHrM9OXGwO3lHir3wtYY9fjJMOw+D7DsZenA9ZX+1vPIToTwRAoc8BfnOPGSOAT3LjFG9AdCzPI6K0rvtmng7b1AGPUf+tbpTLSG9LriFPCArAL3tTpI8BUCCPC7eODxM8lE7RQ0CvXDL+Ty1pLs8EbtTPJ2NmLwhpvO8kMK5PbgLsDzMKMU7dUQiPdLHIDxVJ6+8SifRu1n7iTzJwVA8VfghPX+ojLzDC448kFVTvCKJGjzvP8a8ycHQvMsf6zywBeA8IVqNPIZezzxH/jU8La8rPI01kjvRgG09sqotPI8AE7w8LWW9ivTQO5ZJbzlq74M91h9JvK14uLyQL6C7WEdwvNLHIDwTGW68yGM2vKNbgbtmrsI88TD6PB6GMj1ntxw9I95aPF7AGD1OvdK7LdVevLkUCryt5R48HcSLPBPNB71PBIY8o+6aPHMMuzxGkU+882jhvJe/LzyBc408tAhIvNmGPb2MmR69DSVSvEF3ADyHZym8eNHJvLvfijycF1i8ycFQPJ7i2LwM9kS9QTBNvQcLAz2734o8/73/PEk2nTxoDF29i2oRO7rWMD1WfO87BdMbParrED2vHYY7bHwrPa3lHrzH9s88xnKCvGhTkDwNkrg75bUoPYCQ5rwnuw890jQHPRpdF708wP47KOocvNdOVr3piYM9t8R8u6NbAb2pvIO8sy57vIEGJzxq1105Xx4zPYZez7uSs+08QszAu2CLmbzC3AC9AWPNPIQANbvZGde7B56cPGR227zdr9i8Y/KNPPGd4Du3xPw8hAA1PeemXD1sot68YsMAud8lGb2aub08z2AsPIwsOD0LNB4946N0vR0QcrnC3AC8CzSePB/b8rz+1aU9UDMTvahGwzw2zOK8PZpLPHMMO727x+S8bau4vNjqSbv72xc8xdYOO1Ab7TyJn5C8/tUlvHrCfby1ZuK7ND+7PH7FZbwa8LA8YVaavIJbZ7wSxC29Kp33PFuIsTxeqPI7CGDDvHhk4zziTjS8xgUcPc+17Dzh2HO982hhPb/w/zw69X09AT0avVbpVT1Use68h/pCPYM+DjxIXFA8jFJrPFbp1TsHC4M6/mg/vMlskDx2meK8G0VxvHGuoDxLlLe6kiDUvIr00Lu3xHw9ZI4BPKsC+LzzaGG53yWZvNmscDyhkAA9vwgmPekE9zyCDwE9TTkFvUyF67wHxM87hNoBvff+YjymDty84rsavfKAB7vYlQm84fAZPQcLAzxBd4A96zzeOwPB57z8dwu9ZX81PFRcLrwLoYS8OvV9PDZ3Ir3BKGe84UVavIf6wryK9NC6fQM/uzivCb3pBPe8EU5tvON9QTz/vX+8mBRwuxwoGD2Q6Gw8AfbmO8YFnDysb948ct2tPBuyV7xBdwC88QrHvHQVlTyIvGk9E82HuxnBo7tXMAm8WEdwvMUrTzxEWeg8RMbOvAjNqbyUfu47bRifPFfyr7zatco8duAVPXDL+bySINS8roESOQnWgzusthE8miakvEZiQr1fXAw9y4zRvNXwu7wKK0S7gjW0Oz0HsjzMZh490e1TPclsELzVg1W9QvvNPPWgSLvJbBC8ZlmCvP8EM70uuIU7mt9wO17vJbydILK8w2BOPJYjvLxlvQ69MzbhO1CI07wRu9O6ePf8PNWD1buqpN28nnXyvA1shTohpnO8SfhDvcjQnDyfWBk9EZUgvP8q5jwkVJu7ZAl1vP3MSzzPzRI8amp3vIo7hLww/vm7Bm+PPGrXXTz1ehW9SfjDu9O41LzIPQO8yNAcvCU89Tz3kXw8hJNOPMuM0bywBeA8AWNNO4Jb57nDnqe86UsqPAZvDzx0Yfu85zn2PA9duTzBZsA6UMasPLF7oDxMnZE8aFOQvCNx9Dx/zj+8kOjsvEYk6TzLNxE97z9Gu4KimjvfVCa9jopSO4NkwTpiq1q89cb7OrfcoryrGp67qwJ4vPdFFj3hXYC9mBRwvYBEgLzU/wc9oK3ZPJTrVD0pP908/V/lu6BAczzfDXM8puioPCd0XD1af9c7Msn6vMehjzzOxLg8BflOPQGqAD3C3AA8CzSePJX0Lr0xRS28i/0qPHg+MLx2LPy7Ay5OPEgtQz0veqy75+2PO48AEz3BlU27K1GRPIwGBTqNNZK8xKeBvAcxtjt81DG9XLe+OxccVjo8LeU7I97aPP8q5rtwEi29d3wJOzZ3Irzssh495iKPutfhbziqpF08SFzQvCWDqDwWxxU8PZrLvGqxKr0u3ri8yNCcu1i01juQ6Gw8lklvvHyNfjoYkhY7Tiq5PNaMLzxaKhe8YLomPPdrSbzwtQa8tAjIu9oisTy/XWY84V0APXYGyTwHV2k7D/BSOyPe2rsbH748enYXPYY4HL1zeSG9ah4RvfjhCTw4Kn28fgwZvGMhmzyPk6y7/71/ultZpLtNX7g8AwibPMOep7wveqy8Wn/XvHEbh7sn4cK8MnQ6vdGYkzxz5gc9bKLevOMoATyRy5M8btrFPHulpLvVFu87ufxjPaD0DLwGbw89u9+KvFvGCjzltag8OQTKvID9TD2Pkyy8CY/QPM4xH70Dm7Q8yJLDO8ouNz1ctz67YoUnPWif9jsADg28K+Qqvb7/y7rdHD+9Fb67OyWDqLz0cTs8hqWCPPV6FTy1+Xs5F6/vvGLDgDtYtFY8icXDvHj3fLtihae8yl1EvBl68LzgwYw8Heo+vYxSa7oIYEO8RjyPvKcXNr0J1gO98oCHPMA3Mzyj7hq8lWGVvCXwjrw82CQ9+tI9PHovZLsHV2k9IVoNu8Pz57yFnCi9l1LJvM7zxbzz+/o6d3wJOquHhDvKCIQ807jUu/snfjtNOQU8mIFWPYCQZjsdfVg8Uy0hPPEw+jwrURG87z/GPJhbI712LHw8hQkPPRECh7y3MeO8ko26u6NbgTxPWUa8QG6mvNUW77pCzEA8GXrwOoy/Ub2HZ6k8oSOavEZiwrzufR+9D125vIhwAzyXUsk8b3Y5u0ydkTyuFCy8KFcDPU5oEryy0OA7/yrmO5OWlDtH/jU9Z0q2PGyi3rxHa5w8jVtFuoZeTzpiq1q9/mi/uZdSSbwNJVI8+cljvC8NxjyAarM8ePf8PMout7wnu4+6R2scPaJ4Wrye4lg8RiTpOxbtSDtI72k8CDqQu9YfSb08RYu76xYrPbTilLx2meK8gg8BvbI9xzwOwcW8Sck2vIZez7lsD0W8ZHbbPJhbIzwsaPi8bkcsvSWpWzw5BMo8Ie2mvN2vWDwB9uY7FI+uPJ68pTyDPo67bLoEPEABwDwqSDc8Z0o2PERZaDxLboS8DZK4PKZVDz1MnZG8ckqUPAHQs7uTlhS9vaqLPBcc1rtUHlU9VFyuPErSEL3kV4486Bydu9WDVbs1SBU8YLqmvGvgtztWlBW8/kIMPfx3C72uOl88IL6ZuqZ7Qj3q5x28m1WxPFDGrDzXu7y8x/bPPKy2ETzpBPc7ogt0vc3q67tHa5w7OK8JPGMhGz3WXaI8ZlkCPOlx3Txe76W8dix8vAdX6TzM+bc8x/bPPOem3LslPHU8V4VJvZb9CL1Rz4a85dtbPeeAqbxGJGk8xnKCvCTnNDvn7Y+79EsIusg9A7vNAhK9ICuAPBLErTyY7ry8+Vx9O7cxY7u/8P86+tK9PJyEPjzC3IC8lDKIPMf2TzwmsjU7I95avbvfCrw1AeK7/ypmO+uDkbxbWaQ8AA6NuyArAD3AEQA8Wn/XOyt3RLuKh2o8KiKEvCyAHrsgvhm97uoFPU8EBj2lTDW9oIemvEUNgjxPBIa86xaruxNgITuq65C8wMpMPC/nEruQLyA9H48Mva3NeDyi5cC8MUWtvMUrTzshE1q8i2qROn87pry9kmU8z7VsvFL+k7sL7Wo9fPpkvDLhILwKmCo8mt/wvJvoSrxutBI81RbvvIf6wjyZ95a5uHgWPJq5vbwmjAK9CpiqvNwri7zBKGe7yWwQvTFFLTyHZym7n+syvB9I2TuyPce8SO/pPFp/17ugQHO8Ay5OPPIToTu5/GO8cpZ6ulZ8bzxS5m08Nl/8vFPvR7z/cRm8dKguPHaZYj3b5Nc7PGu+PK3lHrxsNXi8L6BfvTpi5LkPg+w8OJfjPJjICb0+EAw7HLsxPCxoeD35yWO8bas4PbTilLvQ/B+8YVaavLOzBz1CzEA8zsQ4vLURIjyg9Aw9+qwKvM3q67qGpQI8sWP6ucPzZ7x2cy894MGMuhtF8TmBmUA9mIHWPHp2FzuEk047WEdwOK+wn7zzrxS9S5Q3vN0cPz2BBic8YHPzPID9zLztTpI7tfn7uyU8db3Vg9W89XoVPXQ7SLw++OW8bm3fO7cxYzwTzQc7ycFQvFwkJb3OngU9sqqtOmZB3LwOm5I8NneiPAVmtTq61jA8nPGkvFRcrrogK4A6WEfwPOZRHLvvZfk62CijvPh0o7x0O8i8R2scPN8N8zpwy/k8ijsEvSGAQD19cKU8ExluO37FZbxkdts8Jwf2PCArADyK9NC8UIhTvLURIj1KJ9G8JfCOvBev77tOaBI87EW4PEhcUDq5/OO8Wb2wvKjZ3Duo2Vy8qn6qPAJsp7xoJAM954ApvYalAj2TvMe7x/bPu9pgCjtxGwc9uRQKPUdrHL2OitI8+5TkvB1XJb1QiFO8GedWPIhwAz0BqgC9YoUnu5AvID0qSLe7YVYaPLw0S7xoJIO8nY2YvOtUBDwsgB69QMPmvKhs9jzatco7D4PsPLfEfDvfetk7Fu3Iu/KAh7x3D6M8TPLRu614OL2SZ4e8DbjrO9aML7t0zmE8Nl98uaxJq7wdVyW9Msl6PAGqgLysSSs9bm1fuyyAHrwRu1M7krPtvO8ZE7v98v68ycHQPD9lTLwGAqk85+0PPTneFr3ypro7vmyyunDL+bn3a8k8wwsOPfEKxzxutBI8gP3Mu98N8zychL68dKguuw9dObzrqUS93YmlPPnJ4zynFzY8TlBsPGKFp7yqEUQ9PQcyve59nzvJ/6k8XhXZu+0H3zwZ51Y78Nu5vN8Nc7zDnqc7utYwvTZffLz/l8w8or8NPPTeIbzhssC8lrbVPGauQjxutBK9q603vJvoyj1zeSE80ZiTPIBqszvHNCk93O2xvLfcojyxe6A7u8dku1oqFzzM+Tc7fp8yvSTnNLya3/A7brSSPG7aRTsRu1O9BKQOOh9I2TyqEUS8icXDPKW5m7oLWtG8gNeZu9T/h7yjWwG8h2epPBbHlTtiwwC9/TkyPEhc0DvpuBC95+0PvCe7DzwDwWc8GXpwuzOjx7xutBK9YIsZPO0fhTxgixm8aRW3vEn4Q7yedfI8rVIFPZJnhzwPg2w8wUCNPJvCl7yuFCy7KYaQu8GVTbx6CTG83w1zPLatFbvltSi9IyWOPKCtWbyq65C8xKcBvbwOmDvEpwG889XHu1Qe1byoRsM868/3u33dC7ylJgK9NUgVPaK/DT3aIrG8t288PD0Hsrx49/w8wzFBPI73uDySZwe9b1AGvXWxiLxGkc87BUACvXDLebsV5O48HcQLPaJSpzqFCY+8zVdSvRwoGLsTYKG8105WunrC/TyZijA8ZewbvNErLbtmG6k8pntCPIr00LwHnhy9ct0tvVy3Pjxon3Y8qTd3PGCLmbvEpwE9GS6KvYfUDzwlqds6atfdut9Uprwo0va8YVaaPHg+sLqxDro7FI8uPAMuTrwL7Wo76biQPDM24btBnbO6b1CGvFCI07sF0xs9qwJ4PHz6ZLxKJ1E9CdYDPK+wnzzZGdc81MGuPLfcIr2obPa7btpFOyMlDjw0rKG8Uv4TuzkEyrvPzRK8SwEevcn/qbtIXFC8MbKTvIyZHj1g4Fm9qxqeOyO4pzz/l8y8V8Oiu3XXu7xFM7W8hAC1vCh9NjxkjoE8jwATPHWxCLyBmUA9/aaYPB7zmDx4q5a8RiTpu+c5drwzo0c9fjLMPII1NDwjuKc62mAKPUvDxDz3RZa8K1GRvCET2rxxQTq8ukOXPItqEbwThtQ8+cljvCdOqbzqeje7EGYTvYQANTvjo/Q7wdOmvIJb57uiUic9fNQxPFy3Pr0DdYE8wKSZPERZ6Lw4rwm8jtEFuxev77xon3a6XCQlu25tXz2hkIA86K+2vN0cPz1YR3C8HoayOx3EC70IOpC8MKm5vHQVFb27Wn48aOYpPXhkYzzBlU08btrFuogDHT35XP08z485vHyNfrzZxBY9Y7S0vGXsGzxSwDo7MBagPdYfSb22rRU8y8oqvRNgIb11RKK8Q0IBvd8lmbuj7pq861SEvHVEIjum6Cg7/J0+POMQW7z7lOS8VLFuPImfkDytzfi8NdsuvEL7TbwdfVi8VzAJvC96rLwKmCq6TcwevCq1nb3rPN48p4ScvIwsOLxPBAY8RASoO9NLbry4C7C8YqtavCL2AL22QK+7ExluvMzThDwhWg09WiqXPMUrz7zLN5G7nIS+vG6FBb16wn07EU5tvHov5Dy7Wn68fzsmPJrf8DuA/Uy8qGx2vAQ3KLsyyXq6hl7PvIUvwrtMMCs9eGTjvB19WL3LjFE8XN1xPLcxYzkFQIK70YBtPDupl7zxnWC8aCQDva6BEryVh0g7l1JJvFZWvLpGz6g8PMB+PD8/Gb17paS7zyJTu08EhroxspO8nnVyvN1amDoLNB481JKhO+MQW73gwQw9Pov/PF1TMj0DwWc7u1p+PMf2z7uQwjk9W4ixPKsaHjtGJOk7iLxpO0EwzTxJo4O7/fL+O+p6Nz2a3/A61sqIvPuUZLwxspO8K1ERPdaMLzys3EQ9rNzEu4UvwjtEcY48OJfjvAoFEbyUfu48mt9wvD745btwEi245lEcvN2vWLsEykG77Zr4PJAvoDyrAvi87R8FvEgtw7wPg+w856bcvJyq8TpDaDS99XoVvBy7MT3nptw864MRvU9Zxjxu2sW8PC1lPQFjTTzF/EE9kymuu5O8x7zHNCk9u1r+u4wGBbt3ory8q4cEPRCMxrudjZg7zjGfu1fDIj0j3lq8O89KPLta/rvYV7A8pg5cOjgq/bwLWtE8hJPOPFuIMbyY7jw8d3yJO+2a+Lt2mWK96zxevGFWGrxRzwY8ct2tPBsfvruY7rw8kJwGvEtuhLmstpE8/5dMPDwt5TvIkkM8k5YUPYJbZzzNV9K8
index: 0
object: embedding
- embedding: 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
index: 1
object: embedding
- embedding: 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
index: 2
object: embedding
model: text-embedding-3-small
object: list
usage:
prompt_tokens: 22
total_tokens: 22
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '104'
content-type:
- application/json
cookie:
- __cf_bm=kw6DbejYwB65mWJ81IQuJ_O5RZrUoF122vLEqJvAQQg-1766756712-1.0.1.1-jy.XHxBug5R_I6a6QAK5LrRQBLk2nkRPtNwT_0v1gfmUlczlfgIX.qcEIjzu8dFlgzN.KhpjOH9kG4O9PnOXnMP3uZCKd1ZQkB2bpUVyur8;
_cfuvid=UqcWvzi5YYSvA2F64iWeOUGAjzqFu0GcC62rTB9lmDw-1766756712915-0.0.1.1-604800000
host:
- api.openai.com
method: POST
parsed_body:
encoding_format: base64
input:
- I am going for a camping trip.
model: text-embedding-3-small
uri: https://api.openai.com/v1/embeddings
response:
headers:
access-control-allow-origin:
- '*'
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
connection:
- keep-alive
content-length:
- '8414'
content-type:
- application/json
openai-model:
- text-embedding-3-small
openai-organization:
- enfold-systems
openai-processing-ms:
- '48'
openai-project:
- proj_XYweeUJpJHbbRSNsezto5Wfh
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
transfer-encoding:
- chunked
parsed_body:
data:
- embedding: 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
index: 0
object: embedding
model: text-embedding-3-small
object: list
usage:
prompt_tokens: 8
total_tokens: 8
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '95'
content-type:
- application/json
cookie:
- __cf_bm=kw6DbejYwB65mWJ81IQuJ_O5RZrUoF122vLEqJvAQQg-1766756712-1.0.1.1-jy.XHxBug5R_I6a6QAK5LrRQBLk2nkRPtNwT_0v1gfmUlczlfgIX.qcEIjzu8dFlgzN.KhpjOH9kG4O9PnOXnMP3uZCKd1ZQkB2bpUVyur8;
_cfuvid=UqcWvzi5YYSvA2F64iWeOUGAjzqFu0GcC62rTB9lmDw-1766756712915-0.0.1.1-604800000
host:
- api.openai.com
method: POST
parsed_body:
encoding_format: base64
input:
- When is dinner ready?
model: text-embedding-3-small
uri: https://api.openai.com/v1/embeddings
response:
headers:
access-control-allow-origin:
- '*'
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
connection:
- keep-alive
content-length:
- '8414'
content-type:
- application/json
openai-model:
- text-embedding-3-small
openai-organization:
- enfold-systems
openai-processing-ms:
- '58'
openai-project:
- proj_XYweeUJpJHbbRSNsezto5Wfh
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
transfer-encoding:
- chunked
parsed_body:
data:
- embedding: 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
index: 0
object: embedding
model: text-embedding-3-small
object: list
usage:
prompt_tokens: 5
total_tokens: 5
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '105'
content-type:
- application/json
cookie:
- __cf_bm=kw6DbejYwB65mWJ81IQuJ_O5RZrUoF122vLEqJvAQQg-1766756712-1.0.1.1-jy.XHxBug5R_I6a6QAK5LrRQBLk2nkRPtNwT_0v1gfmUlczlfgIX.qcEIjzu8dFlgzN.KhpjOH9kG4O9PnOXnMP3uZCKd1ZQkB2bpUVyur8;
_cfuvid=UqcWvzi5YYSvA2F64iWeOUGAjzqFu0GcC62rTB9lmDw-1766756712915-0.0.1.1-604800000
host:
- api.openai.com
method: POST
parsed_body:
encoding_format: base64
input:
- I work as a software developer.
model: text-embedding-3-small
uri: https://api.openai.com/v1/embeddings
response:
headers:
access-control-allow-origin:
- '*'
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
connection:
- keep-alive
content-length:
- '8414'
content-type:
- application/json
openai-model:
- text-embedding-3-small
openai-organization:
- enfold-systems
openai-processing-ms:
- '173'
openai-project:
- proj_XYweeUJpJHbbRSNsezto5Wfh
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
transfer-encoding:
- chunked
parsed_body:
data:
- embedding: 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
index: 0
object: embedding
model: text-embedding-3-small
object: list
usage:
prompt_tokens: 7
total_tokens: 7
status:
code: 200
message: OK
version: 1