VertexAI Evals

Using Google Vertex AI with Phoenix Evals

Requires google-genai

pip install "arize-phoenix-evals>=3" google-genai

Create an LLM instance with the Google provider:

from phoenix.evals import LLM

llm = LLM(provider="google", model="gemini-3.6-flash")

The LLM wrapper reads your API key from the GOOGLE_API_KEY environment variable, or you can authenticate via Application Default Credentials for Vertex AI.

Using with evaluators

from phoenix.evals import LLM, evaluate_dataframe
from phoenix.evals.metrics import FaithfulnessEvaluator

llm = LLM(provider="google", model="gemini-3.6-flash")
evaluator = FaithfulnessEvaluator(llm=llm)

results_df = evaluate_dataframe(dataframe=df, evaluators=[evaluator])

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Using Google Vertex AI with Phoenix Evals

Using with evaluators

​Using Google Vertex AI with Phoenix Evals

​Using with evaluators

Using Google Vertex AI with Phoenix Evals

Using with evaluators