[Partner] Google GenAi new release (#14882)

to support the system message merging

Also fix integration tests that weren't passing

libs/partners/google-genai/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-genai"
-version = "0.0.4"
+version = "0.0.5"
 description = "An integration package connecting Google's genai package and LangChain"
 authors = []
 readme = "README.md"

libs/partners/google-genai/tests/integration_tests/test_llms.py

@@ -9,7 +9,7 @@ from langchain_core.outputs import LLMResult
 
 from langchain_google_genai.llms import GoogleGenerativeAI
 
-model_names = [None, "models/text-bison-001", "gemini-pro"]
+model_names = ["models/text-bison-001", "gemini-pro"]
 
 
 @pytest.mark.parametrize(
@@ -37,10 +37,7 @@ def test_google_generativeai_call(model_name: str) -> None:
 )
 def test_google_generativeai_generate(model_name: str) -> None:
     n = 1 if model_name == "gemini-pro" else 2
-    if model_name:
-        llm = GoogleGenerativeAI(temperature=0.3, n=n, model=model_name)
-    else:
-        llm = GoogleGenerativeAI(temperature=0.3, n=n)
+    llm = GoogleGenerativeAI(temperature=0.3, n=n, model=model_name)
     output = llm.generate(["Say foo:"])
     assert isinstance(output, LLMResult)
     assert len(output.generations) == 1
@@ -48,7 +45,7 @@ def test_google_generativeai_generate(model_name: str) -> None:
 
 
 def test_google_generativeai_get_num_tokens() -> None:
-    llm = GoogleGenerativeAI()
+    llm = GoogleGenerativeAI(model="models/text-bison-001")
     output = llm.get_num_tokens("How are you?")
     assert output == 4