mirror of
https://github.com/tiennm99/litellm.git
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Lize Cai
1664 lines
67 KiB
Python
1664 lines
67 KiB
Python
import httpx
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from unittest.mock import patch, PropertyMock
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import pytest
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moke_response = {
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"request_id": "9c18627f-ffce-9264-b441-e1f8967d5085",
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"final_result": {
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"object": "list",
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"data": [
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{
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"object": "embedding",
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"embedding": [
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0.016513558104634285,
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0.020874792709946632,
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0.00016527879051864147,
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0.0022804085165262222,
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-0.021968796849250793,
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0.026093490421772003,
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-0.0221314188092947,
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0.021200036630034447,
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0.0035573632922023535,
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0.002790451282635331,
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0.019869491457939148,
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0.02122960425913334,
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0.015759581699967384,
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0.022087067365646362,
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-7.975192420417443e-05,
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-0.0004518313508015126,
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0.011738374829292297,
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0.044588085263967514,
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0.012773244641721249,
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0.008012845180928707,
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-0.0057693966664373875,
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0.007366051897406578,
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|
-0.04582992568612099,
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|
-0.03734399750828743,
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|
0.02424550987780094,
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|
0.00841940101236105,
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|
0.06132340058684349,
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|
-0.024038536474108696,
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|
-0.003544427454471588,
|
|
-0.01728231832385063,
|
|
0.0061796484515070915,
|
|
-0.008271562866866589,
|
|
-0.019322488456964493,
|
|
2.53086764132604e-05,
|
|
-0.05845533311367035,
|
|
0.00972037948668003,
|
|
-0.021540066227316856,
|
|
0.032554030418395996,
|
|
0.006412493996322155,
|
|
-0.0009674180182628334,
|
|
0.00830113049596548,
|
|
0.012603229843080044,
|
|
-0.034298524260520935,
|
|
-0.015803933143615723,
|
|
-7.484322850359604e-05,
|
|
0.011812293902039528,
|
|
-0.002601957181468606,
|
|
-0.012980218045413494,
|
|
-0.01907116360962391,
|
|
-0.006017026025801897,
|
|
],
|
|
"index": 0,
|
|
}
|
|
],
|
|
"model": "text-embedding-3-small",
|
|
"usage": {"prompt_tokens": 1, "total_tokens": 1},
|
|
},
|
|
}
|
|
|
|
|
|
@pytest.fixture
|
|
def sap_api_response():
|
|
return moke_response
|
|
|
|
|
|
@pytest.fixture
|
|
def fake_token_creator():
|
|
return lambda: "Bearer FAKE_TOKEN", "https://api.ai.moke-sap.com", "fake-group"
|
|
|
|
|
|
@pytest.fixture
|
|
def fake_deployment_url():
|
|
return "https://api.ai.moke-sap.com/v2/inference/deployments/mokeid"
|
|
|
|
|
|
@pytest.mark.parametrize("sync_mode", [True, False])
|
|
@pytest.mark.asyncio
|
|
async def test_sap_chat(
|
|
respx_mock,
|
|
sap_api_response,
|
|
fake_token_creator,
|
|
fake_deployment_url,
|
|
sync_mode,
|
|
):
|
|
import litellm
|
|
|
|
litellm.disable_aiohttp_transport = True
|
|
with patch(
|
|
"litellm.llms.sap.embed.transformation.GenAIHubEmbeddingConfig.deployment_url",
|
|
new_callable=PropertyMock,
|
|
return_value=fake_deployment_url,
|
|
), patch(
|
|
"litellm.llms.sap.embed.transformation.get_token_creator",
|
|
return_value=fake_token_creator,
|
|
):
|
|
model = "sap/text-embedding-3-small"
|
|
input = "Hi"
|
|
respx_mock.post(f"{fake_deployment_url}/v2/embeddings").respond(
|
|
json=sap_api_response
|
|
)
|
|
|
|
if sync_mode:
|
|
response = litellm.embedding(model=model, input=input)
|
|
else:
|
|
response = await litellm.aembedding(model=model, input=input)
|
|
|
|
assert response
|
|
assert response.data[0]["embedding"]
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_sap_embedding_required_headers(
|
|
respx_mock,
|
|
sap_api_response,
|
|
fake_token_creator,
|
|
fake_deployment_url,
|
|
):
|
|
"""Test that required headers are correctly set in SAP embedding requests."""
|
|
import litellm
|
|
|
|
# Define required headers for SAP requests
|
|
required_headers = {
|
|
"Authorization": "Bearer FAKE_TOKEN",
|
|
"AI-Resource-Group": "fake-group",
|
|
"Content-Type": "application/json",
|
|
"AI-Client-Type": "LiteLLM",
|
|
}
|
|
|
|
litellm.disable_aiohttp_transport = True
|
|
with patch(
|
|
"litellm.llms.sap.embed.transformation.GenAIHubEmbeddingConfig.deployment_url",
|
|
new_callable=PropertyMock,
|
|
return_value=fake_deployment_url,
|
|
), patch(
|
|
"litellm.llms.sap.embed.transformation.get_token_creator",
|
|
return_value=fake_token_creator,
|
|
):
|
|
model = "sap/text-embedding-3-small"
|
|
input = "Hi"
|
|
|
|
# Setup respx_mock to capture request
|
|
route = respx_mock.post(f"{fake_deployment_url}/v2/embeddings")
|
|
route.respond(json=sap_api_response)
|
|
|
|
response = await litellm.aembedding(model=model, input=input)
|
|
|
|
# Verify the response is valid
|
|
assert response
|
|
assert response.data[0]["embedding"]
|
|
|
|
# Verify the request was made
|
|
assert route.called
|
|
|
|
# Get the request and verify all required headers are present
|
|
request = route.calls[0].request
|
|
for header_name, expected_value in required_headers.items():
|
|
assert header_name in request.headers, (
|
|
f"Required header '{header_name}' missing from request. "
|
|
f"Found headers: {list(request.headers.keys())}"
|
|
)
|
|
assert request.headers[header_name] == expected_value, (
|
|
f"Header '{header_name}' has incorrect value. "
|
|
f"Expected: '{expected_value}', Got: '{request.headers[header_name]}'"
|
|
)
|