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Overview

GoogleLLMService provides integration with Google’s Gemini models, supporting streaming responses, function calling, and multimodal inputs. It includes specialized context handling for Google’s message format while maintaining compatibility with OpenAI-style contexts.

Gemini LLM API Reference

Pipecat’s API methods for Google Gemini integration

Example Implementation

Complete example with function calling

Gemini Documentation

Official Google Gemini API documentation and features

Google AI Studio

Access Gemini models and manage API keys

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Installation

To use Google Gemini services, install the required dependencies: 
pip install "pipecat-ai[google]"

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Prerequisites

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Google Gemini Setup

Before using Google Gemini LLM services, you need:
  1. Google Account: Sign up at Google AI Studio
  2. API Key: Generate a Gemini API key from AI Studio
  3. Model Selection: Choose from available Gemini models (Gemini 1.5 Pro, Flash, etc.)

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Required Environment Variables

  • GOOGLE_API_KEY: Your Google Gemini API key for authentication