Google Antigravity SDK 0.1.1

Changelog: Google Antigravity SDK release 0.1.1 updates

This release focuses on significant enhancements to the Model Context Protocol (MCP) integration, adds native Vertex AI authentication support, improves robustness with better error handling, and includes critical fixes for token usage tracking.

Improvements(4)

• MCP tool filtering and simplified policies: Added support for enabled_tools (allowlist) and disabled_tools (denylist) in server configurations, and overloaded safety policy helpers (policy.allow, policy.deny, policy.ask_user) to accept the MCP server configuration object directly.
• Vertex AI authentication: Integrated native support for Vertex AI authentication in the Python SDK.
• MCP tool prefixing and validation: The SDK now automatically namespaces and prefixes MCP tools (mcp_{server_name}_{tool_name}) to prevent name collisions when connecting multiple MCP servers. The name field is now mandatory in MCP server configurations and validated as a proper Python identifier.
• Improved error handling: The SDK now raises explicit, descriptive exceptions for terminal errors rather than failing silently.

Fixes(2)

• Structured output token tracking: Fixed a bug where token usage_metadata was not correctly returned when structured output (response.structured_output()) was requested.
• Type checking warnings: Fixed pytype warnings (including wrong-keyword-args in LocalAgentConfig) across several modules.

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