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https://github.com/scalaone/azure-openai-proxy
A tool that transforms OpenAI API requests into Azure OpenAI API requests, allowing OpenAI-compatible applications to seamlessly use Azure OpenAI. 一个 OpenAI API 的代理工具，能将 OpenAI API 请求转为 Azure OpenAI API 请求，从而让只支持 OpenAI 的应用程序无缝使用 Azure OpenAI。
https://github.com/scalaone/azure-openai-proxy
azure-openai azure-openai-proxy azureopenai chatgpt gpt-35-turbo gpt-4 gpt-4-32k nextjs nextjs13
Last synced: about 2 months ago
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A tool that transforms OpenAI API requests into Azure OpenAI API requests, allowing OpenAI-compatible applications to seamlessly use Azure OpenAI. 一个 OpenAI API 的代理工具，能将 OpenAI API 请求转为 Azure OpenAI API 请求，从而让只支持 OpenAI 的应用程序无缝使用 Azure OpenAI。
- Host: GitHub
- URL: https://github.com/scalaone/azure-openai-proxy
- Owner: scalaone
- License: mit
- Created: 2023-03-31T05:13:04.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-04T06:55:43.000Z (9 months ago)
- Last Synced: 2024-08-03T21:02:10.548Z (5 months ago)
- Topics: azure-openai, azure-openai-proxy, azureopenai, chatgpt, gpt-35-turbo, gpt-4, gpt-4-32k, nextjs, nextjs13
- Language: TypeScript
- Homepage: https://gptlite.vercel.app
- Size: 634 KB
- Stars: 133
- Watchers: 5
- Forks: 28
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-gpt - Azure OpenAI Proxy - An Azure OpenAI API proxy tool that can convert OpenAI API requests into Azure OpenAI API requests, allowing applications that only support OpenAI to seamlessly use Azure Open AI. (Applications and Demos / LLM (Large Language Model))
README
# Azure OpenAI Proxy
English | [简体中文](./README.zh-CN.md)
Azure OpenAI Proxy is a tool that transforms OpenAI API requests into Azure OpenAI API requests, allowing OpenAI-compatible applications to seamlessly use Azure Open AI.
## Prerequisites
An Azure OpenAI account is required to use Azure OpenAI Proxy.
## Azure Deployment
[](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fscalaone%2Fazure-openai-proxy%2Fmain%2Fdeploy%2Fazure-deploy.json)
Remember to:
- Select the region that matches your Azure OpenAI resource for best performance.
- If deployment fails because the 'proxywebapp' name is already taken, change the resource prefix and redeploy.
- The deployed proxy app is part of a B1 pricing tier Azure web app plan, which can be modified in the Azure Portal after deployment.
## Docker Deployment
To deploy using Docker, execute the following command:
```bash
docker run -d -p 3000:3000 scalaone/azure-openai-proxy
```
## Local Execution and Testing
Follow these steps:
1. Install NodeJS 20.
2. Clone the repository in the command line window.
3. Run `npm install` to install the dependencies.
4. Run `npm start` to start the application.
5. Use the script below for testing. Replace `AZURE_RESOURCE_ID`, `AZURE_MODEL_DEPLOYMENT`, and `AZURE_API_KEY` before running. The default value for `AZURE_API_VERSION` is `2024-02-01` and is optional.
Test script
```bash
curl -X "POST" "http://localhost:3000/v1/chat/completions" \
-H 'Authorization: AZURE_RESOURCE_ID:AZURE_MODEL_DEPLOYMENT:AZURE_API_KEY:AZURE_API_VERSION' \
-H 'Content-Type: application/json; charset=utf-8' \
-d $'{
"messages": [
{
"role": "system",
"content": "You are an AI assistant that helps people find information."
},
{
"role": "user",
"content": "hi."
}
],
"temperature": 1,
"model": "gpt-3.5-turbo",
"stream": false
}'
```
## Tested Applications
The azure-openai-proxy has been tested and confirmed to work with the following applications:
| Application Name | Docker-compose File for E2E Test |
| --------------------------------------------------------------- | --------------------------------------------------------------- |
| [chatgpt-lite](https://github.com/blrchen/chatgpt-lite) | [docker-compose.yml](./e2e/chatgpt-lite/docker-compose.yml) |
| [chatgpt-minimal](https://github.com/blrchen/chatgpt-minimal) | [docker-compose.yml](./e2e/chatgpt-minimal/docker-compose.yml) |
| [chatgpt-next-web](https://github.com/Yidadaa/ChatGPT-Next-Web) | [docker-compose.yml](./e2e/chatgpt-next-web/docker-compose.yml) |
| [chatbot-ui](https://github.com/mckaywrigley/chatbot-ui) | [docker-compose.yml](./e2e/chatbot-ui/docker-compose.yml) |
| [chatgpt-web](https://github.com/Chanzhaoyu/chatgpt-web) | [docker-compose.yml](./e2e/chatgpt-web/docker-compose.yml) |
To test locally, follow these steps:
1. Clone the repository in a command-line window.
2. Update the `OPENAI_API_KEY` environment variable with `AZURE_RESOURCE_ID:AZURE_MODEL_DEPLOYMENT:AZURE_API_KEY`. Alternatively, update the OPENAI_API_KEY value in the docker-compose.yml file directly.
3. Navigate to the directory containing the `docker-compose.yml` file for the application you want to test.
4. Execute the build command: `docker-compose build`.
5. Start the service: `docker-compose up -d`.
6. Access the application locally using the port defined in the docker-compose.yml file. For example, visit .
## FAQs
Q: What are `AZURE_RESOURCE_ID`,`AZURE_MODEL_DEPLOYMENT`, and `AZURE_API_KEY`?
A: These can be found in the Azure management portal. See the image below for reference:
Q: How can I use gpt-4 and gpt-4-32k models?
A: To use gpt-4 and gpt-4-32k models, follow the key format below:
`AZURE_RESOURCE_ID:gpt-3.5-turbo|AZURE_MODEL_DEPLOYMENT,gpt-4|AZURE_MODEL_DEPLOYMENT,gpt-4-32k|AZURE_MODEL_DEPLOYMENT:AZURE_API_KEY:AZURE_API_VERSION`
## Contributing
We welcome all PR submissions.