I'm a developer interested in integrating Google's Generative AI into my project. Navigate to the 'Solutions' page and then find information on how to get started with the Gemini API. Specifically, identify the prerequisites for using the Gemini API, list at least two supported client libraries, and find a basic code example (e.g., for text generation or image understanding).
Navigate to 'https://developers.google.com/'. Click on the 'Solutions' link in the main navigation menu (ID 161). On the 'Solutions Catalog' page, locate and click on a link or section related to 'Gemini' or 'Generative AI' that leads to more detailed API information. (Given the previous trajectory, this might involve clicking on a 'Learn more' link for one of the Gemini-related solutions, or looking for a direct link to the Gemini API documentation). Once on the Gemini API documentation or getting started page, identify the prerequisites for using the API. List at least two supported client libraries for the Gemini API. Find and extract a basic code example (e.g., for text generation, image understanding, or a simple chat interaction) that demonstrates how to use the Gemini API.
The agent successfully navigates to the 'Solutions' page. The agent successfully navigates to a page providing detailed information about the Gemini API. The agent identifies and states the prerequisites for using the Gemini API (e.g., a Google Cloud project, API key). The agent lists at least two supported client libraries for the Gemini API (e.g., Python, Node.js, Go, Java, Android, Swift, Web). The agent provides a basic code example (or a description of one) for using the Gemini API, specifically mentioning its purpose (e.g., text generation, image analysis).