The Google Antigravity SDK now empowers developers to execute offline, agentic workflows locally using models like Gemma 4 26B A4B via LiteRT. This update facilitates powerful hybrid orchestration architectures, allowing a cloud model to act as a lightweight planner while local models securely handle token-intensive tasks—like code auditing and patching—directly on-device. Furthermore, the SDK provides drop-in support for OpenAI-compatible inference servers like Ollama and vLLM, enabling the seamless creation of privacy-first, autonomous local utilities.
Read the original at Google AI developers blog: Introducing Support for Local AI Models in the Antigravity SDK
Source: https://developers.googleblog.com/introducing-support-for-local-ai-models-in-the-antigravity-sdk/