Pieces OS: Reverse Pieces-OS GRPC Conversion to OpenAI Interface (Failed)

General Introduction

Pieces-OS is an open source project that aims to reverse and convert the GRPC streams of Pieces-OS into a standard OpenAI API interface. The project is developed by Nekohy and is open source under GPL-3.0 for learning and communication, not for commercial use. The project provides a variety of model compatibility and support for Vercel one-click deployment.

reverse direction pieces , one minute free deployment of API interfaces supporting Claude, GPT, Gemini models. Providego versionThe

Function List

• GRPC flow reversal: Converts GRPC streams from Pieces-OS to the standard OpenAI interface.
• Multi-model support: Compatible Claude series, GPT series, Gemini series and many other models.
• One-Click Deployment: Support One-click deployment of the Vercel platform, easy for users to build quickly.
• Cloud Model Configuration: Provide profiles of cloud models so that users can extract and use different models as needed.
• API Request Management: Manage prefix paths, keys, retries, etc. for API requests by configuring environment variables.

Using Help

Installation process

1. cloning project: Use git clone command to clone the project locally.

   git clone https://github.com/Nekohy/pieces-os.git
   

2. Installation of dependencies: Go to the project directory and install package.json Dependency libraries defined in the

   cd pieces-os
   npm install
   

3. triggering program: Implementation node index.js Start the program.

   node index.js
   

Usage Process

1. Getting a list of models: Get the list of available models with the following command.

   curl --request GET 'http://127.0.0.1:8787/v1/models' --header 'Content-Type: application/json'

2. Send Request: Use the following command to send a chat request.

   curl --request POST 'http://127.0.0.1:8787/v1/chat/completions' --header 'Content-Type: application/json' --data '{
   "messages": [
   {
   "role": "user",
   "content": "Hello!"
   }
   ],
   "model": "gpt-4o",
   "stream": true
   }'

Environment variable configuration

• API_PREFIX: Prefix path for API requests, default value is '/'The
• API_KEY: The key for the API request, defaults to an empty string.
• MAX_RETRY_COUNT: Maximum number of retries, defaults to 3The
• RETRY_DELAY: retry delay time in milliseconds, default value is 5000(5 seconds).
• PORT: The port on which the service listens, the default value is 8787The

Model Configuration

The project provides profiles for multiple models cloud_model.json, users can extract and use different models as needed. For example:

• Claude Series::claude-3-5-sonnet@20240620,claude-3-haiku@20240307 etc.
• GPT Series::gpt-3.5-turbo,gpt-4,gpt-4-turbo etc.
• Gemini Series::gemini-1.5-flash,gemini-1.5-pro etc.

How to use it after deployment

Configuration in nextchat:

Fill in the domain name directly, do not add after the URL/v1/models , /v1/chat/completions

API_KEY is not configured in Vercel, then no input is required.

Configuration in immersive translation: (not recommended due to concurrency issues)

https://你的域名/v1/chat/completions

If apikey is not set, fill in the blanks.

The layman's guide to getting started with AI

Help you learn how to utilize AI tools at a low cost and from a zero base.AI, like office software, is an essential skill for everyone. Mastering AI will give you an edge in your job search and half the effort in your future work and studies.

View Details>