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							- import os
 - 
 - import pytest
 - 
 - from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
 - from core.model_runtime.errors.validate import CredentialsValidateFailedError
 - from core.model_runtime.model_providers.openllm.text_embedding.text_embedding import OpenLLMTextEmbeddingModel
 - 
 - 
 - def test_validate_credentials():
 -     model = OpenLLMTextEmbeddingModel()
 - 
 -     with pytest.raises(CredentialsValidateFailedError):
 -         model.validate_credentials(
 -             model="NOT IMPORTANT",
 -             credentials={
 -                 "server_url": "ww" + os.environ.get("OPENLLM_SERVER_URL"),
 -             },
 -         )
 - 
 -     model.validate_credentials(
 -         model="NOT IMPORTANT",
 -         credentials={
 -             "server_url": os.environ.get("OPENLLM_SERVER_URL"),
 -         },
 -     )
 - 
 - 
 - def test_invoke_model():
 -     model = OpenLLMTextEmbeddingModel()
 - 
 -     result = model.invoke(
 -         model="NOT IMPORTANT",
 -         credentials={
 -             "server_url": os.environ.get("OPENLLM_SERVER_URL"),
 -         },
 -         texts=["hello", "world"],
 -         user="abc-123",
 -     )
 - 
 -     assert isinstance(result, TextEmbeddingResult)
 -     assert len(result.embeddings) == 2
 -     assert result.usage.total_tokens > 0
 - 
 - 
 - def test_get_num_tokens():
 -     model = OpenLLMTextEmbeddingModel()
 - 
 -     num_tokens = model.get_num_tokens(
 -         model="NOT IMPORTANT",
 -         credentials={
 -             "server_url": os.environ.get("OPENLLM_SERVER_URL"),
 -         },
 -         texts=["hello", "world"],
 -     )
 - 
 -     assert num_tokens == 2
 
 
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