Gemini Cookbook
ActiveDescription
Google Gemini official Cookbook with examples and tutorials for building agents, function calling, and multimodal applications.
Key Features
- Official Google Gemini API tutorials and code examples in Jupyter notebooks
- Agents API with Antigravity agent for building custom managed agents
- Multimodal capabilities: image generation (Nano-Banana 2), video (Veo 3.1), music (Lyria 3)
- File Search for hosted RAG and grounding with Google Maps
- LiveAPI for real-time multimodal streaming interactions
- Comprehensive quickstarts covering Gemini 3.5 Flash, thinking, and inference tiers
Use Cases
💡 Learning Gemini API features through hands-on Jupyter notebook tutorials
💡 Building multimodal AI applications with image, video, and audio generation
💡 Developing RAG systems using File Search and grounding capabilities
💡 Creating real-time streaming applications with LiveAPI
💡 Prototyping AI agents using the Antigravity managed agents API
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (17.7k stars)
- • Permissive open-source license (Apache-2.0)
- • Established track record (2 years in production)
Categories
Quick Start
pip install google-genai
from google import genai
client = genai.Client()
response = client.models.generate_content(model='gemini-2.0-flash', contents='Explain quantum computing in one sentence.')
print(response.text)