Skip to main content
Glama

@arizeai/phoenix-mcp

Official
by Arize-ai
07.29.2025-google-genai-evals.md1.3 kB
# 07.29.2025: Google GenAI Evals 🌐 {% embed url="https://storage.googleapis.com/arize-phoenix-assets/assets/images/gemini_logo.png" %} We’ve added support for the `GoogleGenAIModel` in **`phoenix-evals`**, enabling direct access to Google's Gemini models through the official Google GenAI SDK. As of late 2024, this is the recommended approach for working with Gemini, offering a unified interface across both the Developer API and VertexAI. **🚀 Key Features** * **Multimodal Support**\ Run evaluations on **text**, **image**, and **audio** inputs using Gemini’s multimodal capabilities. * **Async-Ready**\ Optimized for **high-throughput evals** with full **async** compatibility. * **Flexible Authentication**\ Supports both **API key** and **VertexAI-based** authentication methods. * **Dynamic Rate Limiting**\ Built-in **rate limiter** with automatic adjustment based on API feedback and usage patterns. This integration makes it easier to run robust, scalable evaluations using Gemini models directly within your `phoenix-evals` workflows. Huge shoutout to [Siddharth Sahu](https://github.com/sahusiddharth) for this contribution! More Information in our docs: {% embed url="https://arize.com/docs/phoenix/integrations/llm-providers/google-gen-ai/google-gen-ai-evals" %}

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Arize-ai/phoenix'

If you have feedback or need assistance with the MCP directory API, please join our Discord server