Google Gemini
- Matthew Miao
You have to follow the instructions to connect Google Gemini
Go to Gemini Developer API | Gemma open models | Google AI for Developers
Click on “Get Gemini API key in Google Studio”
Goto create API key https://aistudio.google.com/app/apikey
Select project
API key generated. Copy the API key
Paste the API in Integration -> Google Gemini
Available Actions:
Chat completions
Clear chat history
List available models.
Vision: Image-to-text conversion.
Creating Chat Completions:
Users can input messages from users, enable history, select preferred models, set parameters (max tokens, temperature), and receive responses.
Notable difference: Google Gemini doesn't support system messages, limiting its use for business-related inquiries compared to OpenAI.
Response Payload:
Responses are fast and returned with a different payload structure compared to OpenAI.
Responses are located within the content section of the payload.
Safety ratings provided, including categories like sexually explicit, hate speech, harassment, and dangerous content.
Safety ratings:
Models:
Users can retrieve available models through a GET request.
Vision Functionality:
Vision functionality allows users to input image URLs and receive descriptions, with safety ratings provided for images as well.
How to use in flow follow the video: