llama-stack-mirror/tests/integration/recordings/responses/a1ea41fbf9a2.json
Matthew Farrellee a50b63906c
Some checks failed
Integration Auth Tests / test-matrix (oauth2_token) (push) Failing after 2s
SqlStore Integration Tests / test-postgres (3.12) (push) Failing after 2s
SqlStore Integration Tests / test-postgres (3.13) (push) Failing after 2s
Integration Tests (Replay) / Integration Tests (, , , client=, ) (push) Failing after 4s
API Conformance Tests / check-schema-compatibility (push) Successful in 9s
Test Llama Stack Build / generate-matrix (push) Successful in 3s
Test Llama Stack Build / build-single-provider (push) Failing after 4s
Vector IO Integration Tests / test-matrix (push) Failing after 6s
Python Package Build Test / build (3.12) (push) Failing after 2s
Python Package Build Test / build (3.13) (push) Failing after 2s
Test Llama Stack Build / build-custom-container-distribution (push) Failing after 5s
Test External Providers Installed via Module / test-external-providers-from-module (venv) (push) Has been skipped
Test Llama Stack Build / build-ubi9-container-distribution (push) Failing after 5s
Test External API and Providers / test-external (venv) (push) Failing after 5s
Unit Tests / unit-tests (3.12) (push) Failing after 6s
Unit Tests / unit-tests (3.13) (push) Failing after 5s
Test Llama Stack Build / build (push) Failing after 4s
UI Tests / ui-tests (22) (push) Successful in 33s
Pre-commit / pre-commit (push) Successful in 1m25s
chore: use ollama/all-minilm:l6-v2 for ollama tests (#3537)
# What does this PR do?

use ollama embedding models for ollama test, previously using
sentence-transformer

recordings:
- ./scripts/integration-tests.sh --stack-config server:ci-tests --suite
base --setup ollama --inference-mode record
- ./scripts/integration-tests.sh --stack-config server:ci-tests --suite
vision --setup ollama-vision --inference-mode record

## Test Plan

ci w/ added skip base64 embedding test
2025-09-24 19:33:02 -04:00

422 lines
11 KiB
JSON

{
"request": {
"method": "POST",
"url": "http://0.0.0.0:11434/v1/v1/embeddings",
"headers": {},
"body": {
"model": "all-minilm:l6-v2",
"input": [
"How does machine learning improve over time?"
],
"encoding_format": "float"
},
"endpoint": "/v1/embeddings",
"model": "all-minilm:l6-v2"
},
"response": {
"body": {
"__type__": "openai.types.create_embedding_response.CreateEmbeddingResponse",
"__data__": {
"data": [
{
"embedding": [
-0.0144412955,
-0.009650282,
0.10598198,
0.033821642,
0.08256133,
-0.016125076,
-0.105696015,
-0.04119764,
-0.037104737,
-0.04235663,
-0.09278584,
0.14735937,
0.020735627,
-0.045876633,
-0.018912466,
0.005711242,
-0.009913563,
0.024871927,
-0.06426609,
-0.15703933,
-0.041478276,
-0.025513092,
0.004146446,
0.0027369705,
0.0152090555,
0.004832916,
-0.008007824,
0.013515605,
0.020614728,
-0.02136369,
-0.008227903,
0.016406456,
0.024098337,
0.046697818,
-0.120193906,
0.027101057,
0.009577714,
0.07102963,
-0.007563173,
0.0075349766,
-0.046593536,
-0.06467278,
-0.017010622,
-0.033196267,
0.097371556,
0.023502331,
0.033317775,
-0.07454437,
-0.014935438,
-0.0039703106,
-0.14381815,
-0.049301352,
0.03187916,
-0.037372917,
-0.01412705,
0.06712808,
0.032425713,
0.10737386,
0.00763008,
-0.034527462,
-0.013202629,
-0.080443025,
-0.08540038,
0.020914724,
0.058374967,
-0.06886805,
-0.011377637,
0.03356643,
-0.0036231182,
0.0322898,
-0.0031708612,
0.10451793,
-0.035254233,
-0.004960671,
0.030832782,
0.033010393,
0.0014911285,
-0.016038226,
0.09518363,
-0.012361809,
0.056895707,
0.0018552992,
-0.014633688,
0.053164434,
0.05655298,
-0.0752723,
0.00476245,
-0.04156457,
-0.07343076,
-0.06410675,
0.08829294,
-0.03837702,
-0.045774795,
-0.0535434,
-0.009111199,
0.017617762,
-0.0067038187,
-0.032136917,
0.03719991,
0.11071319,
-0.057429407,
0.08084802,
0.009762534,
-0.031580847,
0.05513017,
0.0073544895,
0.08761669,
0.051413193,
0.053174715,
-0.04282332,
-0.002029271,
0.045968805,
-0.03927135,
-0.014048125,
0.0013097908,
-0.031032057,
-0.044477988,
0.027116014,
-0.036825214,
0.10271662,
-0.0018023226,
-0.0014636678,
-0.006019342,
0.0044439677,
-0.033970047,
0.016475804,
-0.029752878,
-2.942642e-33,
-0.030636843,
-0.06274741,
-0.020331798,
0.03409229,
-0.020994574,
-0.088351555,
-0.0338517,
-0.0656598,
0.05194619,
-0.0248902,
-0.0019359031,
0.03725905,
0.0057854285,
0.042536482,
0.065458804,
0.0020972108,
-0.07831122,
0.040395204,
0.048486684,
0.00687325,
0.04522804,
-0.08206775,
0.015138996,
-0.032257374,
-0.0019286879,
0.026958553,
0.060303353,
0.050539102,
-0.038990505,
0.00901784,
0.04728673,
0.027277624,
-0.116268836,
0.03641615,
0.06792425,
0.044476334,
0.04822962,
-0.01417434,
0.07136797,
0.009212642,
-0.03981787,
-0.03105692,
0.043964684,
-0.0550663,
0.004194295,
0.011075167,
0.024179665,
-0.104039185,
-0.094535016,
-0.01598998,
-0.00955013,
-0.035388414,
-0.095118746,
-0.00013354272,
-0.02610455,
0.08766882,
-0.012012526,
-0.058645394,
-0.013742904,
0.01895158,
0.10382739,
-0.0028419443,
0.005811753,
0.017534103,
0.04102487,
0.11672246,
0.09343793,
0.028574567,
0.043363564,
0.049141977,
0.024069116,
-0.010946938,
-0.06667827,
-0.08498697,
0.06469552,
-0.052791074,
0.045889318,
-0.044994276,
0.015019975,
0.010133334,
0.0097814165,
-0.051068403,
0.0036321485,
-0.061966382,
0.036911227,
-0.0015979146,
0.01169187,
-0.08576613,
0.018774707,
-0.007562373,
-0.091671936,
-0.038212627,
0.020174108,
0.018156078,
-0.04092911,
1.0051959e-33,
-0.08226659,
0.0099736005,
-0.0074784867,
0.13932815,
-0.063385926,
-0.022954706,
-0.12405802,
0.047431163,
-0.041625854,
-0.013952695,
0.0074911104,
-0.00723795,
0.059791762,
0.038565084,
-0.0055844127,
0.05114055,
-0.017901178,
0.009323372,
-0.04395451,
-0.024585819,
-1.2245854e-06,
0.09352475,
0.0047693932,
-0.0018991354,
0.008013757,
0.011220997,
-0.091332994,
0.068223536,
0.007186999,
-0.03087612,
-0.051925,
-0.027689163,
-0.03313748,
0.055571433,
0.023570623,
0.037202746,
0.004727846,
-0.080162,
0.025005471,
0.06744095,
0.0331283,
0.0002482217,
-0.045369137,
-0.06479025,
0.02353955,
-0.007544223,
-0.04817079,
0.021955613,
0.07905839,
-0.03857465,
0.10292412,
0.03352054,
-0.016577441,
-0.07671339,
-0.03904085,
0.008326937,
0.014512891,
-0.02780937,
-0.02199285,
0.11556582,
-0.11817719,
-0.02172188,
0.01028131,
0.027112944,
0.017912412,
0.022188837,
0.00472762,
0.030003453,
-0.024873868,
-0.016057493,
0.05167464,
0.022278845,
-0.093714975,
0.027581427,
-0.08995269,
0.01922919,
0.011267925,
-0.019333998,
-0.107179746,
-0.007825687,
-0.06112819,
-0.07851147,
-0.012788895,
0.015774399,
-0.023736876,
0.06481075,
0.0530216,
-0.040838096,
-0.009374445,
-0.015252525,
-0.03356652,
0.0034916159,
-0.106078364,
-0.0037814653,
-0.057664383,
-1.4659457e-08,
-0.013685479,
0.038693503,
0.055525444,
0.01427137,
0.106904596,
-0.024592703,
-0.05212622,
0.14767331,
-0.04477857,
-0.06558989,
0.09031646,
0.0032307915,
0.021561448,
0.01542169,
0.0686726,
0.07787745,
0.018880507,
0.0329181,
-0.030444186,
0.028748954,
0.07327947,
-0.00473439,
0.099678375,
-0.02951805,
0.0157886,
-0.062414743,
-0.009774238,
0.057640694,
0.008111299,
0.047539655,
-0.03485159,
0.0672076,
-0.0011908566,
0.0096628135,
0.064021304,
-0.0030786463,
0.020940661,
-0.05225545,
-0.06604623,
0.025438625,
-0.037236795,
0.10400888,
-0.045393974,
0.010468508,
0.042776387,
0.0060471105,
0.030909447,
0.008940785,
-0.046136875,
-0.012257952,
0.07956265,
0.09894607,
0.043950185,
0.033127937,
0.054626264,
0.013538762,
0.032767043,
-0.055712108,
-0.011724154,
0.07334705,
-0.019697897,
-0.03568817,
-0.038236745,
-0.025074048
],
"index": 0,
"object": "embedding"
}
],
"model": "all-minilm:l6-v2",
"object": "list",
"usage": {
"prompt_tokens": 8,
"total_tokens": 8
}
}
},
"is_streaming": false
}
}