保姆级教程：使用dify源码本地部署LLM应用开发平台

sudo curl -L https://github.com/docker/compose/releases/download/v2.21.0/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose

git clone https://github.com/langgenius/dify.git

cd docker
docker compose -f docker-compose.middleware.yaml up -d

conda create --name dify python=3.10
conda activate dify

# 后端服务在api文件夹中
cd api
# 拷贝环境配置
cp .env.example .env
# 生成随机密钥，并替换 .env 中 SECRET_KEY 的值
openssl rand -base64 42
sed -i 's/SECRET_KEY=.*/SECRET_KEY=<your_value>/' .env
# 安装环境
pip install -r requirements.txt
#  数据库迁移
flask db upgrade

# 启动API接口服务
flask run --host 0.0.0.0 --port=5001 --debug

# 启动worker服务，异步队列消费服务
celery -A app.celery worker -P gevent -c 1 -Q dataset,generation,mail --loglevel INFO

curl -sL https://deb.nodesource.com/setup_18.x | sudo -E bash -
apt-get install nodejs -y

# 前端代码在web文件夹
cd web
npm install

# For production release, change this to PRODUCTION
NEXT_PUBLIC_DEPLOY_ENV=DEVELOPMENT
# The deployment edition, SELF_HOSTED
NEXT_PUBLIC_EDITION=SELF_HOSTED
# The base URL of console application, refers to the Console base URL of WEB service if console domain is
# different from api or web app domain.
# example: http://cloud.dify.ai/console/api
NEXT_PUBLIC_API_PREFIX=http://localhost:5001/console/api
# The URL for Web APP, refers to the Web App base URL of WEB service if web app domain is different from
# console or api domain.
# example: http://udify.app/api
NEXT_PUBLIC_PUBLIC_API_PREFIX=http://localhost:5001/api

# SENTRY
NEXT_PUBLIC_SENTRY_DSN=
NEXT_PUBLIC_SENTRY_ORG=
NEXT_PUBLIC_SENTRY_PROJECT=

npm run build

npm run start

# 进入conda环境
conda activate dify

# 后端
cd api
# 启动API服务
flask run --host 0.0.0.0 --port=5001 --debug
# 启动worker服务
celery -A app.celery worker -P gevent -c 1 -Q dataset,generation,mail --loglevel INFO

# 前端
cd web
# 启动前端
npm run start

# 访问
http://127.0.0.1:3000

ENGLISH_REACT_COMPLETION_PROMPT_TEMPLATES = """Respond to the human as helpfully and accurately as possible. 

{{instruction}}

You have access to the following tools:

{{tools}}

Use a json blob to specify a tool by providing an action key (tool name) and an action_input key (tool input).
Valid "action" values: "Final Answer" or {{tool_names}}

Provide only ONE action per $JSON_BLOB, as shown:

```
{
  "action": $TOOL_NAME,
  "action_input": $ACTION_INPUT
}
```

Follow this format:

Question: input question to answer
Thought: consider previous and subsequent steps
Action:
```
$JSON_BLOB
```
Observation: action result
... (repeat Thought/Action/Observation N times)
Thought: I know what to respond
Action:
```
{
  "action": "Final Answer",
  "action_input": "Final response to human"
}
```

Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:```$JSON_BLOB```then Observation:.
{{historic_messages}}
Question: {{query}}
{{agent_scratchpad}}
Thought:"""

ENGLISH_REACT_COMPLETION_AGENT_SCRATCHPAD_TEMPLATES = """Observation: {{observation}}
Thought:"""

ENGLISH_REACT_CHAT_PROMPT_TEMPLATES = """Respond to the human as helpfully and accurately as possible. 

{{instruction}}

You have access to the following tools:

{{tools}}

Use a json blob to specify a tool by providing an action key (tool name) and an action_input key (tool input).
Valid "action" values: "Final Answer" or {{tool_names}}

Provide only ONE action per $JSON_BLOB, as shown:

```
{
  "action": $TOOL_NAME,
  "action_input": $ACTION_INPUT
}
```

Follow this format:

Question: input question to answer
Thought: consider previous and subsequent steps
Action:
```
$JSON_BLOB
```
Observation: action result
... (repeat Thought/Action/Observation N times)
Thought: I know what to respond
Action:
```
{
  "action": "Final Answer",
  "action_input": "Final response to human"
}
```

Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:```$JSON_BLOB```then Observation:.
"""

ENGLISH_REACT_CHAT_AGENT_SCRATCHPAD_TEMPLATES = ""