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chore: update deprecated embedding model id (text-embedding-004 to gemini-embedding-001) #2071

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Merged
copybara-service merged 1 commit into from
Feb 20, 2026
+14 −18
Merged

chore: update deprecated embedding model id (text-embedding-004 to gemini-embedding-001) #2071

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6 changes: 3 additions & 3 deletions google/genai/tests/batches/test_create_with_bigquery.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,8 @@

_GEMINI_MODEL = 'gemini-2.5-flash'
_GEMINI_MODEL_FULL_NAME = 'publishers/google/models/gemini-2.5-flash'
_EMBEDDING_MODEL = 'text-embedding-004'
_EMBEDDING_MODEL_FULL_NAME = 'publishers/google/models/text-embedding-004'
_EMBEDDING_MODEL = 'gemini-embedding-001'
_EMBEDDING_MODEL_FULL_NAME = 'publishers/google/models/gemini-embedding-001'
_DISPLAY_NAME = 'test_batch'
_GENERATE_CONTENT_BQ_INPUT_FILE = (
'bq://vertex-sdk-dev.unified_genai_tests_batches.generate_content_requests'
Expand Down Expand Up @@ -56,7 +56,7 @@
pytest_helper.TestTableItem(
name='test_union_embedding_with_bigquery',
parameters=types._CreateBatchJobParameters(
model=_EMBEDDING_MODEL_FULL_NAME,
model='publishers/google/models/text-embedding-004',
src=_EMBEDDING_BQ_INPUT_FILE,
config={
'display_name': _DISPLAY_NAME,
Expand Down
6 changes: 3 additions & 3 deletions google/genai/tests/batches/test_create_with_gcs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,8 @@

_GEMINI_MODEL = 'gemini-2.5-flash'
_GEMINI_MODEL_FULL_NAME = 'publishers/google/models/gemini-2.5-flash'
_EMBEDDING_MODEL = 'text-embedding-004'
_EMBEDDING_MODEL_FULL_NAME = 'publishers/google/models/text-embedding-004'
_EMBEDDING_MODEL = 'gemini-embedding-001'
_EMBEDDING_MODEL_FULL_NAME = 'publishers/google/models/gemini-embedding-001'
_DISPLAY_NAME = 'test_batch'

_GENERATE_CONTENT_GCS_INPUT_FILE = (
Expand Down Expand Up @@ -53,7 +53,7 @@
pytest_helper.TestTableItem(
name='test_union_embedding_with_gcs',
parameters=types._CreateBatchJobParameters(
model=_EMBEDDING_MODEL,
model='text-embedding-004',
src=_EMBEDDING_GCS_INPUT_FILE,
config={
'display_name': _DISPLAY_NAME,
Expand Down
15 changes: 4 additions & 11 deletions google/genai/tests/models/test_embed_content.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,17 +33,10 @@ def _get_bytes_from_file(relative_path: str) -> bytes:
return file.read()

test_table: list[pytest_helper.TestTableItem] = [
pytest_helper.TestTableItem(
name='test_single_text',
parameters=types.EmbedContentParameters(
model='text-embedding-004',
contents=t.t_contents('What is your name?'),
),
),
pytest_helper.TestTableItem(
name='test_multi_texts_with_config',
parameters=types.EmbedContentParameters(
model='text-embedding-004',
model='gemini-embedding-001',
contents=[
t.t_content('What is your name?'),
t.t_content('I am a model.'),
Expand All @@ -61,7 +54,7 @@ def _get_bytes_from_file(relative_path: str) -> bytes:
pytest_helper.TestTableItem(
name='test_single_text_with_mime_type_not_supported_in_mldev',
parameters=types.EmbedContentParameters(
model='text-embedding-004',
model='gemini-embedding-001',
contents=t.t_contents('What is your name?'),
config={
'output_dimensionality': 10,
Expand All @@ -73,7 +66,7 @@ def _get_bytes_from_file(relative_path: str) -> bytes:
pytest_helper.TestTableItem(
name='test_single_text_with_auto_truncate_not_supported_in_mldev',
parameters=types.EmbedContentParameters(
model='text-embedding-004',
model='gemini-embedding-001',
contents=t.t_contents('What is your name?'),
config={
'output_dimensionality': 10,
Expand Down Expand Up @@ -201,7 +194,7 @@ def _get_bytes_from_file(relative_path: str) -> bytes:
@pytest.mark.asyncio
async def test_async(client):
response = await client.aio.models.embed_content(
model='text-embedding-004',
model='gemini-embedding-001',
contents='What is your name?',
config={'output_dimensionality': 10},
)
Expand Down
5 changes: 4 additions & 1 deletion google/genai/tests/shared/models/test_embed.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,11 @@
pytest_helper.TestTableItem(
name='test_embed',
parameters=genai_types.EmbedContentParameters(
model='text-embedding-004',
model='gemini-embedding-001',
contents='Hello world!',
config={
'output_dimensionality': 10,
},
),
),
]
Expand Down