0.1.6 July 9, 2026 LiteRT model configurations, dynamic GCP environment hydration, and performance updates This release expands local execution capabilities by broadening support for multimodal and web-connected tool workflows. Developers can now run Gemma models locally using LiteRT or integrate with local OpenAI-compatible APIs, natively return multimodal media from custom tools, and leverage a more robust, streamlined lifecycle hooks framework that is fully aligned with Model Context Protocol (MCP) workflows. Improvements (4) Local Model Connectivity : Introduced LiteRTAgentConfig and LiteRTConnectionStrategy for LiteRT-LM (supporting local Gemma execution), LocalOpenAIAgentConfig and LocalOpenAIConnectionStrategy for OpenAI-compatible APIs (supporting Ollama and LM Studio), and a background loopback HTTP translation server. Multimodal Tool Outputs : Enabled custom tools to return media assets ( Image , Document , Audio , Video ) directly via a single tool response without needing separate follow-up turns ( supplemental_media ). Built-in Web Fetch Tool : Integrated the read_url_content tool end-to-end for fetching structured web content natively with the ReadUrlContentResult Pydantic model. MCP String Prefix Modernization : Decoupled tool calls and safety policy engines from legacy "mcp_" string synthesis, resolving name mismatch issues by utilizing explicit server_name attributes in tool evaluation. Fixes (4) Python 3.14 Compatibility : Resolved namespace class conflicts and typing normalization issues in agent.py and public_api_test.py under Python 3.14 deferred annotations evaluation. Vertex Validation Errors : Cleared a misleading reference to API keys in VertexEndpoint validation error messages, limiting fields to project and location. OTel Trace Warnings : Resolved detached contextvars warnings and set-status race conditions by removing use_span context managers from Turn/Session hooks and checking span recording readiness. Exception Wrapping Mapping : Fixe
Google Antigravity v0.1.6
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