Agents IA
server-sdk-python
The official Python SDK for building on Vapi's voice AI platform.
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Voir le guide →antigravity-sdk-python est un projet de agents IA open source, créé par google-antigravity (google-antigravity/antigravity-sdk-python sur GitHub). Il compte 3 664 étoiles sur GitHub et 1 456 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 7 octobre 2026.
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
The Agent class handles lifecycle, tool wiring, hook registration and policy defaults behind an async context manager.
Stream responses, reasoning/thinking deltas and strongly-typed ToolCall events without blocking.
Define custom tools and connect MCP servers to extend what agents can do.
Send mixed text and content objects — filesystem paths resolve automatically to document types.
Control agent behaviour with hooks and policies, and react to triggers.
Run agents against locally imported LiteRT-LM models by pointing at the model path.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/google-antigravity/antigravity-sdk-python.git
cd antigravity-sdk-pythonInstall the package from PyPI.
pip install google-antigravityExport a Gemini API key for express mode (or use ADC project/location for Vertex standard mode), then run the quickstart Agent example.
export GEMINI_API_KEY=your-key # see README quickstart for the agent codeIt is maintained by google-antigravity on GitHub (google-antigravity/antigravity-sdk-python), where the source, issues and releases live.
Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.
Express mode uses a Gemini API key (usage is billed by Google); standard mode routes through a Google Cloud project with ADC, and local LiteRT-LM models avoid API calls.
Compared with Google's genai SDK used directly, or frameworks like LangGraph, antigravity-sdk-python's distinguishing focus is: google's Python SDK for building AI agents on the Antigravity platform and Gemini models. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/google-antigravity/antigravity-sdk-python (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
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