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vertexai: Added ChatVertexAI test case with configurable_fields for thinking_budget #926

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vertexai: Added ChatVertexAI test case with configurable_fields for thinking_budget #926

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22 changes: 20 additions & 2 deletions libs/vertexai/tests/integration_tests/test_chat_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@
SystemMessagePromptTemplate,
)
from langchain_core.rate_limiters import InMemoryRateLimiter
from langchain_core.runnables import RunnableSerializable
from langchain_core.runnables import ConfigurableField, RunnableSerializable
from langchain_core.tools import tool
from pydantic import BaseModel, Field
from typing_extensions import TypedDict
Expand Down Expand Up @@ -825,7 +825,25 @@ def test_chat_vertexai_gemini_thinking() -> None:
@pytest.mark.release
def test_chat_vertexai_gemini_thinking_disabled() -> None:
model = ChatVertexAI(model_name=_DEFAULT_THINKING_MODEL_NAME, thinking_budget=0)
response = model.invoke([HumanMessage("How many O's are in Google?")])
response = model.invoke("How many O's are in Google?")
assert isinstance(response, AIMessage)
assert (
response.usage_metadata["total_tokens"] # type: ignore
== response.usage_metadata["input_tokens"] # type: ignore
+ response.usage_metadata["output_tokens"] # type: ignore
)
assert "output_token_details" not in response.usage_metadata # type: ignore


@pytest.mark.release
def test_chat_vertexai_gemini_thinking_configurable() -> None:
model = ChatVertexAI(model_name=_DEFAULT_THINKING_MODEL_NAME)
configurable_model = model.configurable_fields(
thinking_budget=ConfigurableField(id="thinking_budget")
)
response = configurable_model.invoke(
"How many O's are in Google?", {"configurable": {"thinking_budget": 0}}
)
assert isinstance(response, AIMessage)
assert (
response.usage_metadata["total_tokens"] # type: ignore
Expand Down