exRanger / openai-proxy-service

OpenAI - proxy

build docker-containers

docker-compose build

run docker-containers

docker-compose up

Requirements

1. Store .env file.

Example of .env:

OPENAI_API_KEY = 'your_openai_key'
OPENAI_BASE_URL = 'https://your_proxy_bla.bla'

DB__USER=postgres
DB__PASSWORD=postgres
DB__HOST=postgres
DB__PORT=5432
DB__NAME=postgres

2. Store secrets.json in the root directory

Example of secrets.json

{
  "login_1": "password_1",
  "login_2": "password_2"
}

Endpoints

Method	Endpoint	Description	Input Model (Sample JSON)	Response
POST	/api/openai/chat	Send a request to openai	{"user": {"login": "Test","password": "123"},"message": {"dialog_contexts": [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "How are you?"}],"configs": [{"model": "gpt-3.5-turbo"}]} }	JSONResponse from OpenAI
POST	/api/langchain/vector_base	Create a vector database	{"user": {"login": "Test","password": "123"},"document":{"rows":[{"id": 1, "question": "How to recover your password?", "answer": "To recover your password, follow the link 'Forgot your password?' on the login page..."}]}}	JSONResponse with context "Vector database created!
POST	/api/langchain/vector_base/query	Request with a prompt for the created vector database	{"user": {"login": "Test","password": "123"},"config":{"prompt_template": "...","input_variables": [...],"question": "..."}}	Text reply