Google Gemini

• Go to ai.google.dev/
• Click on “Get Gemini API key in Google Studio”
• Go to https://aistudio.google.com/app/apikey to create the API key

• Select the project

• API key generated. Copy the API key

• Paste the API key in Integration -> Google Gemini

Available actions:

• Chat completions
• Clear chat history
• List the available models.
• Vision: image-to-text conversion.

Creating chat completions:

• Users can enter messages, enable history, select the preferred models, set parameters (max tokens, temperature) and receive responses.
• Notable difference: Google Gemini does not yet support System Messages, which limits its use in business-related queries compared to OpenAI.

Response payload:

• Responses are fast and come with a payload structure different from the one used by OpenAI.
• Responses are located in the content section of the payload.
• Safety ratings are provided, with categories such as sexually explicit content, hate speech, harassment and dangerous content.

Safety ratings:

Models:

Users can retrieve the available models through a GET request.

Vision functionality:

The Vision functionality allows users to enter image URLs and receive descriptions, and it also provides safety ratings for the images.