You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
John Wang e9810a6df2
fix: azure openai embedding model name error (#612)
2 yıl önce
..
constants Initial commit 2 yıl önce
controllers Feat/clean vector dataset (#605) 2 yıl önce
core fix: azure openai embedding model name error (#612) 2 yıl önce
docker Initial commit 2 yıl önce
events feat: claude api support (#572) 2 yıl önce
extensions feat: member invitation and activation (#535) 2 yıl önce
libs Feature/use jwt in web (#533) 2 yıl önce
migrations Feat/chat support voice input (#532) 2 yıl önce
models feat: member invitation and activation (#535) 2 yıl önce
services feat: claude api support (#572) 2 yıl önce
tasks index add to db when dataset updated (#588) 2 yıl önce
tests Initial commit 2 yıl önce
.dockerignore Initial commit 2 yıl önce
.env.example feat: member invitation and activation (#535) 2 yıl önce
Dockerfile feat: add bash before entrypoint.sh in Dockerfile (#592) 2 yıl önce
README.md doc: add annaconda info (#402) 2 yıl önce
app.py fix: account check in runtime (#569) 2 yıl önce
commands.py add clean unused dataset command (#609) 2 yıl önce
config.py Feat/clean vector dataset (#605) 2 yıl önce
requirements.txt feat: claude api support (#572) 2 yıl önce

README.md

Dify Backend API

Usage

  1. Start the docker-compose stack

The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using docker-compose.

   cd ../docker
   docker-compose -f docker-compose.middleware.yaml up -d
   cd ../api
  1. Copy .env.example to .env
  2. Generate a SECRET_KEY in the .env file.
   openssl rand -base64 42

3.5 If you use annaconda, create a new environment and activate it

   conda create --name dify python=3.10
   conda activate dify
  1. Install dependencies bash pip install -r requirements.txt
  2. Run migrate

Before the first launch, migrate the database to the latest version.

   flask db upgrade
  1. Start backend: bash flask run --host 0.0.0.0 --port=5001 --debug
  2. Setup your application by visiting http://localhost:5001/console/api/setup or other apis…
  3. If you need to debug local async processing, you can run celery -A app.celery worker, celery can do dataset importing and other async tasks.