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The Google AI Gemini API uses API keys for authorization. If others get access to your Gemini API key, they can make calls using your project's quota, which could result in lost quota or additional billing charges (if billing is enabled).
The easiest way to authenticate to the Gemini API is to configure an API key, as described in this section. If you need stricter access controls, you can use OAuth instead. If you don't already have an API key, create one in Google AI Studio.
Learn how to design and test the different types of prompts (freeform, structured, and chat), get an API key, and build a simple NodeJS application. This pathway is useful for further...
To use the Gemini API, you'll need an API key. If you don't already have one, create a key in Google AI Studio. Get an API key. In Colab, add the key to the secrets manager under the "🔑" in the...
When you create an API key, you are giving an application access to your account. Upon key creation, you must set the permissions granted to that key. Each application should have their own key so permissions can be granted separately for each application.
The Gemini API allows you to connect to Google's most powerful multi-modal model. This example configures your API key and sends an example message to the API and prints a response. Before...
Gemini Pro has SDKs that help you build apps that run anywhere. Google AI Studio is a free, web-based developer tool that enables you to quickly develop prompts and then get an API key to use in your app development.
In this tutorial, we have learned about Gemini and how to access the Python API to generate responses. In particular, we have learned about text generation, visual understanding, streaming, conversation history, custom output, and embeddings.