To connect the free Gemini API to your Open WebUI, you essentially need to configure Open WebUI to use the Gemini API endpoint. Since Open WebUI is designed to be compatible with the OpenAI API, you will leverage Gemini's OpenAI-compatible endpoint. Here's a breakdown of the steps:

1. Obtain a Gemini API Key

  • Go to the Google AI Studio website.
  • Create a project if you haven't already.
  • Navigate to the "API key" section.
  • Click "Create API key" and copy the generated key. Keep this key secure.

2. Configure Open WebUI to use the Gemini API Endpoint

There are a couple of ways to do this, as highlighted in the search results:

Method 1: Using the OpenAI API Connection Settings

  • Open your Open WebUI interface and go to the "Admin" settings.
  • Navigate to "Settings" and then "Connections".
  • Look for a section to "Manage OpenAI API Connections".
  • Add a new connection or edit an existing one.
  • API URL: Set the API endpoint to Gemini's OpenAI-compatible endpoint:``` https://generativelanguage.googleapis.com/v1beta/openai/
  • API Key: Enter the Gemini API key you obtained in Step 1.
  • You might need to manually add the specific Gemini models you want to use (e.g., gemini-2.0-flash) in the model management section of Open WebUI.

Method 2: Using Environment Variables (if applicable)

  • When running your Open WebUI instance (e.g., via Docker), you might be able to set environment variables.
  • Set OPENAI_API_BASE_URL to https://generativelanguage.googleapis.com/v1beta/openai/.
  • Set OPENAI_API_KEY to your Gemini API key.
  • Refer to the Open WebUI documentation for the specific environment variable names it uses for API configuration.

Method 3: Using a Proxy Service (e.g., LiteLLM or a custom proxy)

  • You can use a proxy service like LiteLLM, which has built-in support for Gemini. You would configure LiteLLM with your Gemini API key and then point Open WebUI to the LiteLLM API endpoint.
  • Alternatively, you could set up your own proxy using the instructions provided in the GitHub discussion, which involves running a Docker container that proxies requests to the Gemini API.

3. Add Gemini Models to Open WebUI

  • After configuring the API endpoint, you might need to manually add the Gemini models you want to use within the Open WebUI interface.
  • Go to the model management section (usually under "Admin" or "Settings").
  • Add the model names (e.g., gemini-2.0-flash, gemini-1.5-pro-latest).

Important Considerations:

  • API Compatibility: While Gemini offers an OpenAI-compatible API, it might not support all the features or parameters of the native OpenAI API. Refer to the Gemini API documentation for details on compatibility.
  • Model Availability: Ensure that the Gemini models you want to use are available through the OpenAI-compatible endpoint.
  • Safety Filters: Be aware that the Gemini API has its own safety filters, which might behave differently from other models you've used in Open WebUI.
  • Rate Limits: The free Gemini API likely has rate limits. Consult the Google AI Studio documentation for information on these limits.

By following these steps, you should be able to connect the free Gemini API to your Open WebUI and start experimenting with Google's latest models within the familiar Open WebUI interface. Remember to consult the Open WebUI and Gemini API documentation for the most up-to-date instructions and configuration options.

Installing OPENWEBUI AND OLLAMA using DOcker ANd DOcker that WOrks for GPU, Easier with Windows 
Integrating ot to WSL for UBUNTU ABd DOcker INtegratin to WSL so can use anywhere