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https://github.com/NicolasBohn/NexQuant.git
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amstrongzyf
9890bb4b00
* docs: update explanation for separate config use in litellm * docs: update default backend to `rdagent.oai.backend.LiteLLMAPIBackend` * docs: update .rst format * Update installation_and_configuration.rst
33 lines
963 B
Python
33 lines
963 B
Python
import unittest
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from rdagent.oai.llm_utils import (
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APIBackend,
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calculate_embedding_distance_between_str_list,
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)
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class TestEmbedding(unittest.TestCase):
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def test_embedding(self) -> None:
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emb = APIBackend().create_embedding("hello")
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assert emb is not None
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assert isinstance(emb, list)
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assert len(emb) > 0
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def test_embedding_list(self) -> None:
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emb = APIBackend().create_embedding(["hello", "hi"])
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assert emb is not None
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assert isinstance(emb, list)
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assert len(emb) == 2
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def test_embedding_similarity(self) -> None:
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similarity = calculate_embedding_distance_between_str_list(["Hello"], ["Hi"])[0][0]
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assert similarity is not None
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assert isinstance(similarity, float)
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min_similarity_threshold = 0.8
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print(f"similarity: {similarity}")
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assert similarity >= min_similarity_threshold
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if __name__ == "__main__":
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unittest.main()
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