scalaone/azure-openai-proxy
scalaone
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如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具，协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题，请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可：
请先完整阅读并严格遵守以下文档中的全部规则与要求：
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前，不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式，不推荐豆包 AI；Cursor 等编辑器可在对话 @ 该链接，或加入 User Rules。 若 AI 无法访问外链，可 打开说明文档 复制全文粘贴。文档会随站点更新，复制内容可能过期，建议定期检查。
Azure-OpenAI-Proxy
Azure-OpenAI-Proxy is an application that serves as a proxy for OpenAI's API. It enables users to request AI-generated text completions for specific prompts, using different models and parameters. The proxy supports GPT-4 models in addition to other available models. It simplifies the interaction with the OpenAI API and helps manage multiple deployments with ease for your AI-based text generation applications.
Installation
Follow these steps to set up Azure-OpenAI-Proxy:
- Clone the repository:
git clone https://github.com/scalaone/azure-openai-proxy.git
- Navigate to the project directory:
cd azure-openai-proxy
- Install the required dependencies:
npm install
-
Replace the placeholder values in the example request as mentioned in the Usage section with your actual resource ID, deployment IDs, model names, and API key.
-
Run the application:
npm run start
The Azure-OpenAI-Proxy will be running on your server and listening for incoming requests.
Usage
To send a request, use a curl command to POST the input data to the application's URL. Replace the placeholder values with your actual resource ID, deployment IDs, model names, and API key.
Example request:
curl -X "POST" "https://openaiproxy2.azurewebsites.net/v1/chat/completions" \ -H 'Authorization: Bearer YOUR_RESOURCE_ID:YOUR_MODEL_NAME_IDENTIFIERS:YOUR_API_KEY' \ -H 'Content-Type: application/json; charset=utf-8' \ -d Replace the following placeholder values: - `YOUR_RESOURCE_ID` with the actual resource ID (e.g., `hai`). - `YOUR_MODEL_NAME_IDENTIFIERS` with the actual model and deployment ID mappings (e.g., `gpt-3.5-turbo|gpt-35-turbo,gpt-4|gpt-4,gpt-4-32k|gpt-4-32k`). - `YOUR_API_KEY` with your actual API key (e.g., `xxxxxx`). ## Parameters The request body contains the following parameters: - `messages`: An array of message objects containing `content` and `role` properties. The `content` represents the text input, and the `role` can be one of the following options: `'system'`, `'user'`, or `'assistant'`. - `temperature`: Controls the randomness of generated completions. Higher values (e.g., 1) result in more random responses, while lower values (e.g., 0.1) produce more focused and deterministic responses. - `model`: Specifies the AI model to be used for generating completions. In the example, it is set to `'gpt-3.5-turbo'`. - `stream`: A boolean value indicating whether the response should be streamed. ## License This project is licensed under the MIT License. See the LICENSE file for details. ## Contributing Contributions to Azure-OpenAI-Proxy are greatly appreciated. To contribute, follow these steps: 1. Fork the repository and create your branch. 2. Make changes or additions to the code. 3. Commit your changes and raise a Pull Request. Please make sure to follow the project's coding standards and update documentation accordingly. For further information, check the https://platform.openai.com/docs/api-reference/completions/create. Thank you for your interest in contributing to Azure-OpenAI-Proxy. Your efforts will help improve the project and benefit the community.{ "messages": [ { "content": "hi", "role": "user" } ], "temperature": 1, "model": "gpt-3.5-turbo", "stream": false }'
Replace the following placeholder values:
- CODE_TOKEN_6 with the actual resource ID (e.g., CODE_TOKEN_7).
- CODE_TOKEN_8 with the actual model and deployment ID mappings (e.g., CODE_TOKEN_9).
- CODE_TOKEN_10 with your actual API key (e.g., CODE_TOKEN_11).
Parameters
The request body contains the following parameters:
- CODE_TOKEN_12: An array of message objects containing CODE_TOKEN_13 and CODE_TOKEN_14 properties. The CODE_TOKEN_15 represents the text input, and the CODE_TOKEN_16 can be one of the following options: CODE_TOKEN_17, CODE_TOKEN_18, or CODE_TOKEN_19.
- CODE_TOKEN_20: Controls the randomness of generated completions. Higher values (e.g., 1) result in more random responses, while lower values (e.g., 0.1) produce more focused and deterministic responses.
- CODE_TOKEN_21: Specifies the AI model to be used for generating completions. In the example, it is set to CODE_TOKEN_22.
- CODE_TOKEN_23: A boolean value indicating whether the response should be streamed.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Contributing
Contributions to Azure-OpenAI-Proxy are greatly appreciated. To contribute, follow these steps:
- Fork the repository and create your branch.
- Make changes or additions to the code.
- Commit your changes and raise a Pull Request.
Please make sure to follow the project's coding standards and update documentation accordingly.
For further information, check the https://platform.openai.com/docs/api-reference/completions/create.
Thank you for your interest in contributing to Azure-OpenAI-Proxy. Your efforts will help improve the project and benefit the community.
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 azure-openai-proxy 镜像标签
docker pull docker.xuanyuan.run/scalaone/azure-openai-proxy:<标签>
DockerHub 原生拉取命令
docker pull scalaone/azure-openai-proxy:<标签>
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