Developed and delivered multimodal content support for the vercel/ai repository, focusing on enhancing the Google provider’s tool results by enabling mapping of image and file data into Gemini function responses as inlineData. Leveraged TypeScript and Node.js to implement base64 data URL support for image and file URLs, while introducing explicit error handling for unsupported remote URLs. Updated provider logic, comprehensive tests, and documentation to ensure robust integration and clear user guidance. Emphasized quality assurance through targeted testing, type checking, and linting, resulting in richer multimodal tool interactions and improved reliability for workflows utilizing the Gemini 3 model capabilities.