dify/api
glay 99e80a8ed0
fix:Bedrock llm issue #2214 (#2215)
Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>
Co-authored-by: Chenhe Gu <guchenhe@gmail.com>
2024-01-26 15:34:29 +08:00
..
.vscode
constants
controllers fix: multiple rows were found correctly (#2219) 2024-01-26 12:47:42 +08:00
core fix:Bedrock llm issue #2214 (#2215) 2024-01-26 15:34:29 +08:00
docker
events
extensions
fields feat: add tool labels (#2178) 2024-01-24 20:14:45 +08:00
libs refine: faster rsa implement (#2182) 2024-01-24 20:22:01 +08:00
migrations feat: add tool labels (#2178) 2024-01-24 20:14:45 +08:00
models Feat: chunk overlap supported (#2209) 2024-01-26 13:24:40 +08:00
schedule
services Feat: chunk overlap supported (#2209) 2024-01-26 13:24:40 +08:00
tasks
templates
tests feat: openai_api_compatible support config stream_mode_delimiter (#2190) 2024-01-26 00:31:59 +08:00
.dockerignore
.env.example
app.py
commands.py
config.py version to 0.5.2 (#2230) 2024-01-26 14:47:32 +08:00
Dockerfile Add gmpy2 dependencies packages (#2216) 2024-01-26 03:09:24 +08:00
README.md
requirements.txt Add tts document&fix bug (#2156) 2024-01-24 23:04:14 +08:00

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
    
  2. Copy .env.example to .env

  3. 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
    
  2. 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
    
  3. Start backend:

    flask run --host 0.0.0.0 --port=5001 --debug
    
  4. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...

  5. 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.