You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
langchain/tests/integration_tests/vectorstores/cassettes/test_elasticsearch/TestElasticsearch.test_cust...

591 lines
41 KiB
YAML

interactions:
- request:
body: '{"input": [[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], [2059, 7341, 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], [2059, 7341, 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:
- '2675'
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 |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:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 7b50c2001dad00bc-DME
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Sun, 09 Apr 2023 06:40:18 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:
- '145'
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:
- 20f30c4a02be8288d86b427bab14a604
status:
code: 200
message: OK
- request:
body: '{"input": [[939, 7341]], "encoding_format": "base64"}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '53'
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 |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headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 7b50c2065d3e00bc-DME
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Sun, 09 Apr 2023 06:40:20 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:
- '211'
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:
- d1a908c74beba0ccdead93c6cebb9bc9
status:
code: 200
message: OK
version: 1