Google GenAI Python SDK Skill

Use this skill to write high-quality, idiomatic Python code for the Gemini API.

Reference Materials

Identify the user's task and refer to the relevant file:

• [Setup & Client](references/setup.md): Installation, auth, client initialization.
• [Models](references/models.md): Recommended models (Flash, Pro, Lite, Imagen, Veo).
• [Text Generation](references/text_generation.md): Basic inference, streaming, system instructions, safety.
• [Chat](references/chat.md): Multi-turn conversations and history.
• [Reasoning](references/reasoning.md): Thinking config (thinkinglevel / thinkingbudget), thought signatures.
• [Structured Output](references/structured_output.md): JSON schemas, Pydantic models, Enums.
• [Multimodal Inputs](references/multimodal_inputs.md): Images, audio, video, PDFs, media resolution.
• [Tools](references/tools.md): Function calling, code execution, Google Search grounding.
• [Media Generation](references/media_generation.md): Image generation/editing (Imagen), video generation (Veo).
• [Source Code](references/source_code.md): Raw SDK source code for deep inspection.

Core Principles

1. Unified SDK: Always use google-genai.
2. Stateless Models: Use client.models for single requests.
3. Stateful Chats: Use client.chats for conversations.
4. Types: Import from google.genai.types.