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Documentation Index

Fetch the complete documentation index at: https://arizeai-433a7140.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

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Google Gemini via Vertex AI

Use the LLM wrapper with the "vertex" provider to run evals with Gemini models. Authenticate by setting your project and location, or by passing credentials directly. 
pip install "arize-phoenix-evals>=3" google-cloud-aiplatform

import os
from phoenix.evals import LLM

os.environ["CLOUD_ML_PROJECT_ID"] = "my-project-id"
os.environ["CLOUD_ML_REGION"] = "us-central1"

llm = LLM(provider="vertex", model="gemini-2.5-flash")
llm.generate_text(prompt="Hello there, how are you?")
# Output: "Hello! I'm doing well, thank you for asking!"

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Google Gemini via Google AI Studio

Alternatively, use the "google" provider with a Google AI Studio API key: 
pip install "arize-phoenix-evals>=3" google-generativeai

import os
from phoenix.evals import LLM

os.environ["GOOGLE_API_KEY"] = "<your-api-key>"

llm = LLM(provider="google", model="gemini-2.5-flash")
llm.generate_text(prompt="Hello there, how are you?")
# Output: "Hello! I'm doing well, thank you for asking!"