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Update gepa[dspy] dependency version to 0.0.18 #8969

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Merged
merged 3 commits into from
Oct 25, 2025
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Update gepa[dspy] dependency version to 0.0.18 #8969

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419cb93
Update gepa[dspy] dependency version to 0.0.18
LakshyAAAgrawal Oct 25, 2025
08ec68b
Update pyproject.toml
LakshyAAAgrawal Oct 25, 2025
54b51d8
fix test
TomeHirata Oct 25, 2025
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -43,7 +43,7 @@ dependencies = [
"pillow>=10.1.0",
"numpy>=1.26.0",
"xxhash>=3.5.0",
"gepa[dspy]==0.0.17",
"gepa[dspy]==0.0.18",
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@TomeHirata TomeHirata Oct 25, 2025

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@LakshyAAAgrawal does this need to be [dspy]? It seems the dspy optional dependency group does not have any packages.

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@LakshyAAAgrawal LakshyAAAgrawal Oct 25, 2025

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Yes, GEPA by default pulls in some dependencies, which may conflict with DSPy. Which is why I have created a dependency free version of GEPA for dspy under gepa[dspy]

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@TomeHirata TomeHirata Oct 26, 2025

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@LakshyAAAgrawal It seems gepa doesn't have any core dependencies though?
What package do you think is installed by default?
https://github.com/gepa-ai/gepa/blob/main/pyproject.toml#L20

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@LakshyAAAgrawal LakshyAAAgrawal Oct 26, 2025

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That is true, but the idea is that even if gepa introduces any default dependencies in the future, it should have a separate dependency list so that it never introduces any conflict for dspy.

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@TomeHirata TomeHirata Oct 28, 2025

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Iirc, default depencies are installed even if you add [dspy]. So it won't serve for the purpose I think.

]

[project.optional-dependencies]
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1 change: 1 addition & 0 deletions tests/teleprompt/test_gepa.py
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Expand Up @@ -80,6 +80,7 @@ def dummy_bootstrap_trace_data(*args, **kwargs):
@pytest.fixture
def mock_mlflow():
mock_mlflow = mock.MagicMock()
mock_mlflow.active_run.return_value = None
with mock.patch.dict("sys.modules", {"mlflow": mock_mlflow}):
yield mock_mlflow

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