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A proxy for converting the OpenAI API protocol to the Google Gemini Pro protocol.
| Date | Stars |
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| 2026-07-31 | 722 |
| 2026-08-02 | 722 |
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| 2026-08-05 | 721 |
| 2026-08-06 | 721 |
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# Gemini-OpenAI-Proxy
Gemini-OpenAI-Proxy is a proxy designed to convert the OpenAI API protocol to the Google Gemini protocol. This enables applications built for the OpenAI API to seamlessly communicate with the Gemini protocol, including support for Chat Completion, Embeddings, and Model(s) endpoints.
---
## Table of Contents
- [Gemini-OpenAI-Proxy](#gemini-openai-proxy)
- [Table of Contents](#table-of-contents)
- [Build](#build)
- [Deploy](#deploy)
- [Usage](#usage)
- [Compatibility](#compatibility)
- [License](#license)
---
## Build
To build the Gemini-OpenAI-Proxy, follow these steps:
```bash
go build -o gemini main.go
```
---
## Deploy
We recommend deploying Gemini-OpenAI-Proxy using Docker for a straightforward setup. Follow these steps to deploy with Docker:
You can either do this on the command line:
```bash
docker run --restart=unless-stopped -it -d -p 8080:8080 --name gemini zhu327/gemini-openai-proxy:latest
```
Or with the following docker-compose config:
```yaml
version: '3'
services:
gemini:
container_name: gemini
environment: # Set Environment Variables here. Defaults listed below
- GPT_4_VISION_PREVIEW=gemini-1.5-flash-latest
- DISABLE_MODEL_MAPPING=0
ports:
- "8080:8080"
image: zhu327/gemini-openai-proxy:latest
restart: unless-stopped
```
Adjust the port mapping (e.g., `-p 8080:8080`) as needed, and ensure that the Docker image version (`zhu327/gemini-openai-proxy:latest`) aligns with your requirements.
---
## Usage
Gemini-OpenAI-Proxy offers a straightforward way to integrate OpenAI functionalities into any application that supports custom OpenAI API endpoints. Follow these steps to leverage the capabilities of this proxy:
1. **Set Up OpenAI Endpoint:**
Ensure your application is configured to use a custom OpenAI API endpoint. Gemini-OpenAI-Proxy seamlessly works with any OpenAI-compatible endpoint.
2. **Get Google AI Studio API Key:**
Before using the proxy, you'll need to obtain an API key from [ai.google.dev](https://ai.google.dev). Treat this API key as your OpenAI API key when interacting with Gemini-OpenAI-Proxy.
3. **Integrate the Proxy into Your Application:**
Modify your application's API requests to target the Gemini-OpenAI-Proxy, providing the acquired Google AI Studio API key as if it were your OpenAI API key.
Example Chat Completion API Request (Assuming the proxy is hosted at `http://localhost:8080`):
```bash
curl http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $YOUR_GOOGLE_AI_STUDIO_API_KEY" \
-d '{
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Say this is a test!"}],
"temperature": 0.7
}'
```
Alternatively, use Gemini Pro Vision:
```bash
curl http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $YOUR_GOOGLE_AI_STUDIO_API_KEY" \
-d '{
"model": "gpt-4-vision-preview",
"messages": [{"role": "user", "content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
}
}
]}],
"temperature": 0.7
}'
```
If you wish to map `gpt-4-vision-preview` to `gemini-1.5-pro-latest`, you can configure the environment variable `GPT_4_VISION_PREVIEW = gemini-1.5-pro-latest`. This is because `gemini-1.5-pro-latest` now also supports multi-modal data. Otherwise, the default uses the `gemini-1.5-flash-latest` model
If you already have access to the Gemini 1.5 Pro api, you can use:
```bash
curl http://localhost:8080/v1/cExcerpt of 6,548 characters
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