test: add gemini test who are ready in production code (#1718)

Author: shuoweil

bigframes/ml/llm.py

@@ -83,6 +83,7 @@
  _GEMINI_1P5_FLASH_002_ENDPOINT,
  _GEMINI_2_FLASH_EXP_ENDPOINT,
  _GEMINI_2_FLASH_001_ENDPOINT,
+ _GEMINI_2_FLASH_LITE_001_ENDPOINT,
 )
 
 _CLAUDE_3_SONNET_ENDPOINT = "claude-3-sonnet"

tests/system/load/test_llm.py

@@ -25,7 +25,7 @@ def llm_remote_text_pandas_df():
  return pd.DataFrame(
  {
  "prompt": [
- "Please do sentiment analysis on the following text and only output a number from 0 to 5where 0 means sadness, 1 means joy, 2 means love, 3 means anger, 4 means fear, and 5 means surprise. Text: i feel beautifully emotional knowing that these women of whom i knew just a handful were holding me and my baba on our journey",
+ "Please do sentiment analysis on the following text and only output a number from 0 to 5 where 0 means sadness, 1 means joy, 2 means love, 3 means anger, 4 means fear, and 5 means surprise. Text: i feel beautifully emotional knowing that these women of whom i knew just a handful were holding me and my baba on our journey",
  "Please do sentiment analysis on the following text and only output a number from 0 to 5 where 0 means sadness, 1 means joy, 2 means love, 3 means anger, 4 means fear, and 5 means surprise. Text: i was feeling a little vain when i did this one",
  "Please do sentiment analysis on the following text and only output a number from 0 to 5 where 0 means sadness, 1 means joy, 2 means love, 3 means anger, 4 means fear, and 5 means surprise. Text: a father of children killed in an accident",
  ],
@@ -43,6 +43,7 @@ def llm_remote_text_df(session, llm_remote_text_pandas_df):
  (
  "gemini-1.5-pro-002",
  "gemini-1.5-flash-002",
+ "gemini-2.0-flash-001",
  ),
 )
 def test_llm_gemini_configure_fit(

tests/system/small/ml/test_multimodal_llm.py

@@ -47,6 +47,7 @@ def test_multimodal_embedding_generator_predict_default_params_success(
  "gemini-1.5-flash-002",
  "gemini-2.0-flash-exp",
  "gemini-2.0-flash-001",
+ "gemini-2.0-flash-lite-001",
  ),
 )
 @pytest.mark.flaky(retries=2)