Skip to content

Add support for bedrock models in embedding_distance function #1153

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Add support for bedrock models in embedding_distance function #1153

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
22 changes: 22 additions & 0 deletions python/tests/unit_tests/test_expect.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,3 +18,25 @@ def test_expect_explicit_none(mock_client: mock.Mock) -> None:
expect.score(1).to_be_between(0, 2)
expect.score(1).to_be_approximately(1, 2)
expect({1, 2}).to_contain(1)


@mock.patch.object(ls_client, "Client", autospec=True)
def test_embedding_distance_with_bedrock(mock_client: mock.Mock) -> None:
# Mock the bedrock encoder function
def mock_bedrock_encoder(texts):
return [[0.1, 0.2, 0.3] for _ in texts]

# Test with bedrock encoder
config = {"encoder": mock_bedrock_encoder, "metric": "cosine"}
matcher = expect.embedding_distance(
prediction="hello",
reference="hi",
config=config,
)
matcher.to_be_less_than(1.0)
matcher.to_be_greater_than(0.0)
matcher.to_be_between(0.0, 1.0)
matcher.to_be_approximately(0.5, precision=1)
matcher.to_equal(0.5)
matcher.to_be_none()
matcher.to_contain(0.5)