Charlie.Wei 5b24d7129e Azure openai init (#1929) hai 1 ano
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.vscode d069c668f8 Model Runtime (#1858) hai 1 ano
constants 42a5b3ec17 feat: advanced prompt backend (#1301) hai 1 ano
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extensions 2757494265 alter schedule timedelta (#1923) hai 1 ano
fields 185c2f86cd Compatible with the situation where there is no user information. (#1792) hai 1 ano
libs faf40a42bc feat: optimize memory & invoke error output (#1931) hai 1 ano
migrations d069c668f8 Model Runtime (#1858) hai 1 ano
models d069c668f8 Model Runtime (#1858) hai 1 ano
schedule 595e9b25ba Add data clean schedule (#1859) hai 1 ano
services 296bf443a8 feat: reuse decoding_rsa_key & decoding_cipher_rsa & optimize construct (#1937) hai 1 ano
tasks 4d99c689f0 prohibit enable and disable function when segment is not completed (#1954) hai 1 ano
templates 3d92784bd4 fix: email template style (#1914) hai 1 ano
tests 6075fee556 Add Together.ai's OpenAI API-compatible inference endpoints (#1947) hai 1 ano
.dockerignore 220f7c81e9 build: fix .dockerignore file (#800) hai 1 ano
.env.example a0a9461f79 Fix/add qdrant timeout default value (#1901) hai 1 ano
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README.md 454577c6b1 Remove legacy docker startup docs in frontend (#1645) hai 1 ano
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commands.py d069c668f8 Model Runtime (#1858) hai 1 ano
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requirements.txt d069c668f8 Model Runtime (#1858) hai 1 ano

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 -p dify 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

    pip install -r requirements.txt
    
    1. Run migrate

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

    flask db upgrade
    

⚠️ If you encounter problems with jieba, for example

   > flask db upgrade
   Error: While importing 'app', an ImportError was raised:

Please run the following command instead.

   pip install -r requirements.txt --upgrade --force-reinstall
  1. Start backend: bash flask run --host 0.0.0.0 --port=5001 --debug 7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis... 8. If you need to debug local async processing, you can run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail, celery can do dataset importing and other async tasks.