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2 Commits

Author SHA1 Message Date
jyong
6e6604d28c delete remove tsne position 2024-07-02 14:55:05 +08:00
jyong
e7b792f537 delete remove tsne position 2024-07-02 14:52:41 +08:00
4654 changed files with 281437 additions and 263743 deletions

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@@ -1,5 +1,5 @@
FROM mcr.microsoft.com/devcontainers/python:3.12
FROM mcr.microsoft.com/devcontainers/python:3.10
# [Optional] Uncomment this section to install additional OS packages.
# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
# && apt-get -y install --no-install-recommends <your-package-list-here>
# && apt-get -y install --no-install-recommends <your-package-list-here>

View File

@@ -1,7 +1,7 @@
// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/anaconda
{
"name": "Python 3.12",
"name": "Python 3.10",
"build": {
"context": "..",
"dockerfile": "Dockerfile"

View File

@@ -1,13 +1,10 @@
#!/bin/bash
npm add -g pnpm@9.12.2
cd web && pnpm install
pipx install poetry
cd web && npm install
echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
echo 'alias start-api="cd /workspaces/dify/api && flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
echo 'alias start-worker="cd /workspaces/dify/api && celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
echo 'alias start-web="cd /workspaces/dify/web && npm run dev"' >> ~/.bashrc
echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify up -d"' >> ~/.bashrc
echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify down"' >> ~/.bashrc
source /home/vscode/.bashrc
source /home/vscode/.bashrc

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@@ -1,3 +1,3 @@
#!/bin/bash
cd api && poetry install
poetry install -C api

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@@ -1,24 +0,0 @@
title: "General Discussion"
body:
- type: checkboxes
attributes:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
- type: textarea
attributes:
label: Content
placeholder: Please describe the content you would like to discuss.
validations:
required: true
- type: markdown
attributes:
value: Please limit one request per issue.

View File

@@ -1,30 +0,0 @@
title: "Help"
body:
- type: checkboxes
attributes:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
- type: textarea
attributes:
label: 1. Is this request related to a challenge you're experiencing? Tell me about your story.
placeholder: Please describe the specific scenario or problem you're facing as clearly as possible. For instance "I was trying to use [feature] for [specific task], and [what happened]... It was frustrating because...."
validations:
required: true
- type: textarea
attributes:
label: 2. Additional context or comments
placeholder: (Any other information, comments, documentations, links, or screenshots that would provide more clarity. This is the place to add anything else not covered above.)
validations:
required: false
- type: markdown
attributes:
value: Please limit one request per issue.

View File

@@ -1,37 +0,0 @@
title: Suggestions for New Features
body:
- type: checkboxes
attributes:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
- type: textarea
attributes:
label: 1. Is this request related to a challenge you're experiencing? Tell me about your story.
placeholder: Please describe the specific scenario or problem you're facing as clearly as possible. For instance "I was trying to use [feature] for [specific task], and [what happened]... It was frustrating because...."
validations:
required: true
- type: textarea
attributes:
label: 2. Additional context or comments
placeholder: (Any other information, comments, documentations, links, or screenshots that would provide more clarity. This is the place to add anything else not covered above.)
validations:
required: false
- type: checkboxes
attributes:
label: 3. Can you help us with this feature?
description: Let us know! This is not a commitment, but a starting point for collaboration.
options:
- label: I am interested in contributing to this feature.
required: false
- type: markdown
attributes:
value: Please limit one request per issue.

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@@ -14,7 +14,7 @@ body:
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
- label: "请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
@@ -22,6 +22,7 @@ body:
- type: input
attributes:
label: Dify version
placeholder: 0.6.11
description: See about section in Dify console
validations:
required: true

View File

@@ -12,7 +12,7 @@ body:
required: true
- label: I confirm that I am using English to submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
- label: "请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true

View File

@@ -12,7 +12,7 @@ body:
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
- label: "请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true

View File

@@ -12,13 +12,14 @@ body:
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
- label: "请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
- type: input
attributes:
label: Dify version
placeholder: 0.3.21
description: Hover over system tray icon or look at Settings
validations:
required: true

View File

@@ -1,36 +0,0 @@
name: Setup Poetry and Python
inputs:
python-version:
description: Python version to use and the Poetry installed with
required: true
default: '3.11'
poetry-version:
description: Poetry version to set up
required: true
default: '2.0.1'
poetry-lockfile:
description: Path to the Poetry lockfile to restore cache from
required: true
default: ''
runs:
using: composite
steps:
- name: Set up Python ${{ inputs.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ inputs.python-version }}
cache: pip
- name: Install Poetry
shell: bash
run: pip install poetry==${{ inputs.poetry-version }}
- name: Restore Poetry cache
if: ${{ inputs.poetry-lockfile != '' }}
uses: actions/setup-python@v5
with:
python-version: ${{ inputs.python-version }}
cache: poetry
cache-dependency-path: ${{ inputs.poetry-lockfile }}

View File

@@ -1,25 +1,32 @@
# Summary
# Description
Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
> [!Tip]
> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
Fixes # (issue)
## Type of Change
# Screenshots
| Before | After |
|--------|-------|
| ... | ... |
# Checklist
> [!IMPORTANT]
> Please review the checklist below before submitting your pull request.
Please delete options that are not relevant.
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
- [x] I've updated the documentation accordingly.
- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
- [ ] Dependency upgrade
# How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
- [ ] TODO
# Suggested Checklist:
- [ ] I have performed a self-review of my own code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] My changes generate no new warnings
- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
- [ ] `optional` I have made corresponding changes to the documentation
- [ ] `optional` I have added tests that prove my fix is effective or that my feature works
- [ ] `optional` New and existing unit tests pass locally with my changes

View File

@@ -7,7 +7,6 @@ on:
paths:
- api/**
- docker/**
- .github/workflows/api-tests.yml
concurrency:
group: api-tests-${{ github.head_ref || github.run_id }}
@@ -20,23 +19,26 @@ jobs:
strategy:
matrix:
python-version:
- "3.10"
- "3.11"
- "3.12"
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python ${{ matrix.python-version }}
uses: ./.github/actions/setup-poetry
- name: Install Poetry
uses: abatilo/actions-poetry@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
poetry-lockfile: api/poetry.lock
cache: 'poetry'
cache-dependency-path: |
api/pyproject.toml
api/poetry.lock
- name: Check Poetry lockfile
- name: Poetry check
run: |
poetry check -C api --lock
poetry show -C api
@@ -44,18 +46,14 @@ jobs:
- name: Install dependencies
run: poetry install -C api --with dev
- name: Check dependencies in pyproject.toml
run: poetry run -P api bash dev/pytest/pytest_artifacts.sh
- name: Run Unit tests
run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh
run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
- name: Run dify config tests
run: poetry run -P api python dev/pytest/pytest_config_tests.py
- name: Run ModelRuntime
run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
- name: Run mypy
run: |
poetry run -C api python -m mypy --install-types --non-interactive .
- name: Run Tool
run: poetry run -C api bash dev/pytest/pytest_tools.sh
- name: Set up dotenvs
run: |
@@ -66,7 +64,7 @@ jobs:
run: sh .github/workflows/expose_service_ports.sh
- name: Set up Sandbox
uses: hoverkraft-tech/compose-action@v2.0.2
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.middleware.yaml
@@ -75,4 +73,21 @@ jobs:
ssrf_proxy
- name: Run Workflow
run: poetry run -P api bash dev/pytest/pytest_workflow.sh
run: poetry run -C api bash dev/pytest/pytest_workflow.sh
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma)
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.yaml
services: |
weaviate
qdrant
etcd
minio
milvus-standalone
pgvecto-rs
pgvector
chroma
- name: Test Vector Stores
run: poetry run -C api bash dev/pytest/pytest_vdb.sh

View File

@@ -48,18 +48,18 @@ jobs:
platform=${{ matrix.platform }}
echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ env.DOCKERHUB_USER }}
password: ${{ env.DOCKERHUB_TOKEN }}
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Login to Docker Hub
uses: docker/login-action@v2
with:
username: ${{ env.DOCKERHUB_USER }}
password: ${{ env.DOCKERHUB_TOKEN }}
- name: Extract metadata for Docker
id: meta
uses: docker/metadata-action@v5
@@ -79,12 +79,10 @@ jobs:
cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
- name: Export digest
env:
DIGEST: ${{ steps.build.outputs.digest }}
run: |
mkdir -p /tmp/digests
sanitized_digest=${DIGEST#sha256:}
touch "/tmp/digests/${sanitized_digest}"
digest="${{ steps.build.outputs.digest }}"
touch "/tmp/digests/${digest#sha256:}"
- name: Upload digest
uses: actions/upload-artifact@v4
@@ -116,7 +114,7 @@ jobs:
merge-multiple: true
- name: Login to Docker Hub
uses: docker/login-action@v3
uses: docker/login-action@v2
with:
username: ${{ env.DOCKERHUB_USER }}
password: ${{ env.DOCKERHUB_TOKEN }}
@@ -127,22 +125,17 @@ jobs:
with:
images: ${{ env[matrix.image_name_env] }}
tags: |
type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') && !contains(github.ref, '-') }}
type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
type=ref,event=branch
type=sha,enable=true,priority=100,prefix=,suffix=,format=long
type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
- name: Create manifest list and push
working-directory: /tmp/digests
env:
IMAGE_NAME: ${{ env[matrix.image_name_env] }}
run: |
docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
$(printf "$IMAGE_NAME@sha256:%s " *)
$(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)
- name: Inspect image
env:
IMAGE_NAME: ${{ env[matrix.image_name_env] }}
IMAGE_VERSION: ${{ steps.meta.outputs.version }}
run: |
docker buildx imagetools inspect "$IMAGE_NAME:$IMAGE_VERSION"
docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}

View File

@@ -4,10 +4,8 @@ on:
pull_request:
branches:
- main
- plugins/beta
paths:
- api/migrations/**
- .github/workflows/db-migration-test.yml
concurrency:
group: db-migration-test-${{ github.ref }}
@@ -16,18 +14,26 @@ concurrency:
jobs:
db-migration-test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.10"
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python
uses: ./.github/actions/setup-poetry
- name: Install Poetry
uses: abatilo/actions-poetry@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
poetry-lockfile: api/poetry.lock
python-version: ${{ matrix.python-version }}
cache: 'poetry'
cache-dependency-path: |
api/pyproject.toml
api/poetry.lock
- name: Install dependencies
run: poetry install -C api
@@ -38,7 +44,7 @@ jobs:
cp middleware.env.example middleware.env
- name: Set up Middlewares
uses: hoverkraft-tech/compose-action@v2.0.2
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.middleware.yaml
@@ -52,8 +58,6 @@ jobs:
cp .env.example .env
- name: Run DB Migration
env:
DEBUG: true
run: |
cd api
poetry run python -m flask upgrade-db

View File

@@ -1,47 +0,0 @@
name: Build docker image
on:
pull_request:
branches:
- "main"
paths:
- api/Dockerfile
- web/Dockerfile
concurrency:
group: docker-build-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
build-docker:
runs-on: ubuntu-latest
strategy:
matrix:
include:
- service_name: "api-amd64"
platform: linux/amd64
context: "api"
- service_name: "api-arm64"
platform: linux/arm64
context: "api"
- service_name: "web-amd64"
platform: linux/amd64
context: "web"
- service_name: "web-arm64"
platform: linux/arm64
context: "web"
steps:
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build Docker Image
uses: docker/build-push-action@v6
with:
push: false
context: "{{defaultContext}}:${{ matrix.context }}"
platforms: ${{ matrix.platform }}
cache-from: type=gha
cache-to: type=gha,mode=max

View File

@@ -6,9 +6,5 @@ yq eval '.services.chroma.ports += ["8000:8000"]' -i docker/docker-compose.yaml
yq eval '.services["milvus-standalone"].ports += ["19530:19530"]' -i docker/docker-compose.yaml
yq eval '.services.pgvector.ports += ["5433:5432"]' -i docker/docker-compose.yaml
yq eval '.services["pgvecto-rs"].ports += ["5431:5432"]' -i docker/docker-compose.yaml
yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-compose.yaml
yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase"
echo "Ports exposed for sandbox, weaviate, qdrant, chroma, milvus, pgvector, pgvecto-rs."

View File

@@ -17,36 +17,33 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v45
uses: tj-actions/changed-files@v44
with:
files: |
api/**
.github/workflows/style.yml
files: api/**
- name: Setup Poetry and Python
- name: Install Poetry
uses: abatilo/actions-poetry@v3
- name: Set up Python
uses: actions/setup-python@v5
if: steps.changed-files.outputs.any_changed == 'true'
uses: ./.github/actions/setup-poetry
with:
python-version: '3.10'
- name: Install dependencies
- name: Python dependencies
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry install -C api --only lint
- name: Ruff check
if: steps.changed-files.outputs.any_changed == 'true'
run: |
poetry run -C api ruff --version
poetry run -C api ruff check ./
poetry run -C api ruff format --check ./
run: poetry run -C api ruff check ./api
- name: Dotenv check
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
- name: Lint hints
if: failure()
@@ -62,68 +59,29 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v45
uses: tj-actions/changed-files@v44
with:
files: web/**
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 10
run_install: false
- name: Setup NodeJS
uses: actions/setup-node@v4
if: steps.changed-files.outputs.any_changed == 'true'
with:
node-version: 20
cache: pnpm
cache: yarn
cache-dependency-path: ./web/package.json
- name: Web dependencies
if: steps.changed-files.outputs.any_changed == 'true'
run: pnpm install --frozen-lockfile
run: yarn install --frozen-lockfile
- name: Web style check
if: steps.changed-files.outputs.any_changed == 'true'
run: pnpm run lint
run: yarn run lint
docker-compose-template:
name: Docker Compose Template
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v45
with:
files: |
docker/generate_docker_compose
docker/.env.example
docker/docker-compose-template.yaml
docker/docker-compose.yaml
- name: Generate Docker Compose
if: steps.changed-files.outputs.any_changed == 'true'
run: |
cd docker
./generate_docker_compose
- name: Check for changes
if: steps.changed-files.outputs.any_changed == 'true'
run: git diff --exit-code
superlinter:
name: SuperLinter
@@ -132,13 +90,10 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v45
uses: tj-actions/changed-files@v44
with:
files: |
**.sh
@@ -148,7 +103,7 @@ jobs:
dev/**
- name: Super-linter
uses: super-linter/super-linter/slim@v7
uses: super-linter/super-linter/slim@v6
if: steps.changed-files.outputs.any_changed == 'true'
env:
BASH_SEVERITY: warning

View File

@@ -26,19 +26,16 @@ jobs:
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Use Node.js ${{ matrix.node-version }}
uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node-version }}
cache: ''
cache-dependency-path: 'pnpm-lock.yaml'
cache-dependency-path: 'yarn.lock'
- name: Install Dependencies
run: pnpm install --frozen-lockfile
run: yarn install
- name: Test
run: pnpm test
run: yarn test

View File

@@ -1,55 +0,0 @@
name: Check i18n Files and Create PR
on:
pull_request:
types: [closed]
branches: [main]
jobs:
check-and-update:
if: github.event.pull_request.merged == true
runs-on: ubuntu-latest
defaults:
run:
working-directory: web
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 2 # last 2 commits
persist-credentials: false
- name: Check for file changes in i18n/en-US
id: check_files
run: |
recent_commit_sha=$(git rev-parse HEAD)
second_recent_commit_sha=$(git rev-parse HEAD~1)
changed_files=$(git diff --name-only $recent_commit_sha $second_recent_commit_sha -- 'i18n/en-US/*.ts')
echo "Changed files: $changed_files"
if [ -n "$changed_files" ]; then
echo "FILES_CHANGED=true" >> $GITHUB_ENV
else
echo "FILES_CHANGED=false" >> $GITHUB_ENV
fi
- name: Set up Node.js
if: env.FILES_CHANGED == 'true'
uses: actions/setup-node@v2
with:
node-version: 'lts/*'
- name: Install dependencies
if: env.FILES_CHANGED == 'true'
run: pnpm install --frozen-lockfile
- name: Run npm script
if: env.FILES_CHANGED == 'true'
run: pnpm run auto-gen-i18n
- name: Create Pull Request
if: env.FILES_CHANGED == 'true'
uses: peter-evans/create-pull-request@v6
with:
commit-message: Update i18n files based on en-US changes
title: 'chore: translate i18n files'
body: This PR was automatically created to update i18n files based on changes in en-US locale.
branch: chore/automated-i18n-updates

View File

@@ -1,86 +0,0 @@
name: Run VDB Tests
on:
pull_request:
branches:
- main
paths:
- api/core/rag/datasource/**
- docker/**
- .github/workflows/vdb-tests.yml
- api/poetry.lock
- api/pyproject.toml
concurrency:
group: vdb-tests-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
test:
name: VDB Tests
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.11"
- "3.12"
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python ${{ matrix.python-version }}
uses: ./.github/actions/setup-poetry
with:
python-version: ${{ matrix.python-version }}
poetry-lockfile: api/poetry.lock
- name: Check Poetry lockfile
run: |
poetry check -C api --lock
poetry show -C api
- name: Install dependencies
run: poetry install -C api --with dev
- name: Set up dotenvs
run: |
cp docker/.env.example docker/.env
cp docker/middleware.env.example docker/middleware.env
- name: Expose Service Ports
run: sh .github/workflows/expose_service_ports.sh
- name: Set up Vector Store (TiDB)
uses: hoverkraft-tech/compose-action@v2.0.2
with:
compose-file: docker/tidb/docker-compose.yaml
services: |
tidb
tiflash
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
uses: hoverkraft-tech/compose-action@v2.0.2
with:
compose-file: |
docker/docker-compose.yaml
services: |
weaviate
qdrant
couchbase-server
etcd
minio
milvus-standalone
pgvecto-rs
pgvector
chroma
elasticsearch
- name: Check TiDB Ready
run: poetry run -P api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
- name: Test Vector Stores
run: poetry run -P api bash dev/pytest/pytest_vdb.sh

View File

@@ -1,55 +0,0 @@
name: Web Tests
on:
pull_request:
branches:
- main
paths:
- web/**
concurrency:
group: web-tests-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
test:
name: Web Tests
runs-on: ubuntu-latest
defaults:
run:
working-directory: ./web
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v45
with:
files: web/**
# to run pnpm, should install package canvas, but it always install failed on amd64 under ubuntu-latest
# - name: Install pnpm
# uses: pnpm/action-setup@v4
# with:
# version: 10
# run_install: false
# - name: Setup Node.js
# uses: actions/setup-node@v4
# if: steps.changed-files.outputs.any_changed == 'true'
# with:
# node-version: 20
# cache: pnpm
# cache-dependency-path: ./web/package.json
# - name: Install dependencies
# if: steps.changed-files.outputs.any_changed == 'true'
# run: pnpm install --frozen-lockfile
# - name: Run tests
# if: steps.changed-files.outputs.any_changed == 'true'
# run: pnpm test

27
.gitignore vendored
View File

@@ -153,35 +153,18 @@ docker-legacy/volumes/etcd/*
docker-legacy/volumes/minio/*
docker-legacy/volumes/milvus/*
docker-legacy/volumes/chroma/*
docker-legacy/volumes/opensearch/data/*
docker-legacy/volumes/pgvectors/data/*
docker-legacy/volumes/pgvector/data/*
docker/volumes/app/storage/*
docker/volumes/certbot/*
docker/volumes/db/data/*
docker/volumes/redis/data/*
docker/volumes/weaviate/*
docker/volumes/qdrant/*
docker/tidb/volumes/*
docker/volumes/etcd/*
docker/volumes/minio/*
docker/volumes/milvus/*
docker/volumes/chroma/*
docker/volumes/opensearch/data/*
docker/volumes/myscale/data/*
docker/volumes/myscale/log/*
docker/volumes/unstructured/*
docker/volumes/pgvector/data/*
docker/volumes/pgvecto_rs/data/*
docker/volumes/couchbase/*
docker/volumes/oceanbase/*
docker/volumes/plugin_daemon/*
!docker/volumes/oceanbase/init.d
docker/nginx/conf.d/default.conf
docker/nginx/ssl/*
!docker/nginx/ssl/.gitkeep
docker/middleware.env
sdks/python-client/build
@@ -191,13 +174,3 @@ sdks/python-client/dify_client.egg-info
.vscode/*
!.vscode/launch.json
pyrightconfig.json
api/.vscode
.idea/
.vscode
# pnpm
/.pnpm-store
# plugin migrate
plugins.jsonl

View File

Before

Width:  |  Height:  |  Size: 1.7 KiB

After

Width:  |  Height:  |  Size: 1.7 KiB

View File

@@ -12,6 +12,5 @@
</component>
<component name="VcsDirectoryMappings">
<mapping directory="" vcs="Git" />
<mapping directory="$PROJECT_DIR$/.." vcs="Git" />
</component>
</project>
</project>

55
.vscode/launch.json vendored Normal file
View File

@@ -0,0 +1,55 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "Python: Flask",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/api/.venv/bin/python",
"cwd": "${workspaceFolder}/api",
"envFile": ".env",
"module": "flask",
"justMyCode": true,
"jinja": true,
"env": {
"FLASK_APP": "app.py",
"FLASK_DEBUG": "1",
"GEVENT_SUPPORT": "True"
},
"args": [
"run",
"--host=0.0.0.0",
"--port=5001",
]
},
{
"name": "Python: Celery",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/api/.venv/bin/python",
"cwd": "${workspaceFolder}/api",
"module": "celery",
"justMyCode": true,
"envFile": ".env",
"console": "integratedTerminal",
"env": {
"FLASK_APP": "app.py",
"FLASK_DEBUG": "1",
"GEVENT_SUPPORT": "True"
},
"args": [
"-A",
"app.celery",
"worker",
"-P",
"gevent",
"-c",
"1",
"--loglevel",
"info",
"-Q",
"dataset,generation,mail,ops_trace,app_deletion"
]
},
]
}

View File

@@ -1,8 +1,6 @@
# CONTRIBUTING
So you're looking to contribute to Dify - that's awesome, we can't wait to see what you do. As a startup with limited headcount and funding, we have grand ambitions to design the most intuitive workflow for building and managing LLM applications. Any help from the community counts, truly.
We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part.
We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part.
This guide, like Dify itself, is a constant work in progress. We highly appreciate your understanding if at times it lags behind the actual project, and welcome any feedback for us to improve.
@@ -10,14 +8,16 @@ In terms of licensing, please take a minute to read our short [License and Contr
## Before you jump in
[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:open) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
### Feature requests
### Feature requests:
* If you're opening a new feature request, we'd like you to explain what the proposed feature achieves, and include as much context as possible. [@perzeusss](https://github.com/perzeuss) has made a solid [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) that helps you draft out your needs. Feel free to give it a try.
* If you want to pick one up from the existing issues, simply drop a comment below it saying so.
A team member working in the related direction will be looped in. If all looks good, they will give the go-ahead for you to start coding. We ask that you hold off working on the feature until then, so none of your work goes to waste should we propose changes.
Depending on whichever area the proposed feature falls under, you might talk to different team members. Here's rundown of the areas each our team members are working on at the moment:
@@ -40,7 +40,7 @@ In terms of licensing, please take a minute to read our short [License and Contr
| Non-core features and minor enhancements | Low Priority |
| Valuable but not immediate | Future-Feature |
### Anything else (e.g. bug report, performance optimization, typo correction)
### Anything else (e.g. bug report, performance optimization, typo correction):
* Start coding right away.
@@ -52,6 +52,7 @@ In terms of licensing, please take a minute to read our short [License and Contr
| Non-critical bugs, performance boosts | Medium Priority |
| Minor fixes (typos, confusing but working UI) | Low Priority |
## Installing
Here are the steps to set up Dify for development:
@@ -62,7 +63,7 @@ Here are the steps to set up Dify for development:
Clone the forked repository from your terminal:
```shell
```
git clone git@github.com:<github_username>/dify.git
```
@@ -70,21 +71,21 @@ git clone git@github.com:<github_username>/dify.git
Dify requires the following dependencies to build, make sure they're installed on your system:
* [Docker](https://www.docker.com/)
* [Docker Compose](https://docs.docker.com/compose/install/)
* [Node.js v18.x (LTS)](http://nodejs.org)
* [pnpm](https://pnpm.io/)
* [Python](https://www.python.org/) version 3.11.x or 3.12.x
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.10.x
### 4. Installations
Dify is composed of a backend and a frontend. Navigate to the backend directory by `cd api/`, then follow the [Backend README](api/README.md) to install it. In a separate terminal, navigate to the frontend directory by `cd web/`, then follow the [Frontend README](web/README.md) to install.
Check the [installation FAQ](https://docs.dify.ai/learn-more/faq/install-faq) for a list of common issues and steps to troubleshoot.
Check the [installation FAQ](https://docs.dify.ai/getting-started/faq/install-faq) for a list of common issues and steps to troubleshoot.
### 5. Visit dify in your browser
To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running.
To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running.
## Developing
@@ -96,9 +97,9 @@ To help you quickly navigate where your contribution fits, a brief, annotated ou
### Backend
Difys backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login.
Difys backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login.
```text
```
[api/]
├── constants // Constant settings used throughout code base.
├── controllers // API route definitions and request handling logic.
@@ -120,7 +121,7 @@ Difys backend is written in Python using [Flask](https://flask.palletsproject
The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typescript and uses [Tailwind CSS](https://tailwindcss.com/) for styling. [React-i18next](https://react.i18next.com/) is used for internationalization.
```text
```
[web/]
├── app // layouts, pages, and components
│ ├── (commonLayout) // common layout used throughout the app
@@ -148,10 +149,10 @@ The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typ
## Submitting your PR
At last, time to open a pull request (PR) to our repo. For major features, we first merge them into the `deploy/dev` branch for testing, before they go into the `main` branch. If you run into issues like merge conflicts or don't know how to open a pull request, check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests).
At last, time to open a pull request (PR) to our repo. For major features, we first merge them into the `deploy/dev` branch for testing, before they go into the `main` branch. If you run into issues like merge conflicts or don't know how to open a pull request, check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests).
And that's it! Once your PR is merged, you will be featured as a contributor in our [README](https://github.com/langgenius/dify/blob/main/README.md).
## Getting Help
If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.
If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.

View File

@@ -2,17 +2,17 @@
考虑到我们的现状,我们需要灵活快速地交付,但我们也希望确保像你这样的贡献者在贡献过程中获得尽可能顺畅的体验。我们为此编写了这份贡献指南,旨在让你熟悉代码库和我们与贡献者的合作方式,以便你能快速进入有趣的部分。
这份指南,就像 Dify 本身一样,是一个不断改进的工作。如果有时它落后于实际项目,我们非常感谢你的理解,并欢迎提供任何反馈以供我们改进。
这份指南,就像 Dify 本身一样,是一个不断改进的工作。如果有时它落后于实际项目,我们非常感谢你的理解,并欢迎任何反馈以供我们改进。
在许可方面,请花一分钟阅读我们简短的 [许可证和贡献者协议](./LICENSE)。社区还遵守 [行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
在许可方面,请花一分钟阅读我们简短的[许可证和贡献者协议](./LICENSE)。社区还遵守[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
## 在开始之前
[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:open)现有问题,或 [创建](https://github.com/langgenius/dify/issues/new/choose) 一个新问题。我们将问题分为两类:
[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:closed)现有问题,或[创建](https://github.com/langgenius/dify/issues/new/choose)一个新问题。我们将问题分为两类:
### 功能请求:
* 如果您要提出新的功能请求,请解释所提议的功能的目标,并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss) 制作了一个很好的 [功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX),可以帮助您起草需求。随时尝试一下。
* 如果您要提出新的功能请求,请解释所提议的功能的目标,并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss)制作了一个很好的[功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX),可以帮助您起草需求。随时尝试一下。
* 如果您想从现有问题中选择一个,请在其下方留下评论表示您的意愿。
@@ -20,44 +20,45 @@
根据所提议的功能所属的领域不同,您可能需要与不同的团队成员交流。以下是我们团队成员目前正在从事的各个领域的概述:
| 团队成员 | 工作范围 |
| Member | Scope |
| ------------------------------------------------------------ | ---------------------------------------------------- |
| [@yeuoly](https://github.com/Yeuoly) | 架构 Agents |
| [@jyong](https://github.com/JohnJyong) | RAG 流水线设计 |
| [@GarfieldDai](https://github.com/GarfieldDai) | 构建 workflow 编排 |
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | 让我们的前端更易用 |
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 开发人员体验, 综合事项联系人 |
| [@takatost](https://github.com/takatost) | 产品整体方向和架构 |
| [@yeuoly](https://github.com/Yeuoly) | Architecting Agents |
| [@jyong](https://github.com/JohnJyong) | RAG pipeline design |
| [@GarfieldDai](https://github.com/GarfieldDai) | Building workflow orchestrations |
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use |
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
| [@takatost](https://github.com/takatost) | Overall product direction and architecture |
事项优先级:
How we prioritize:
| 功能类型 | 优先级 |
| Feature Type | Priority |
| ------------------------------------------------------------ | --------------- |
| 被团队成员标记为高优先级的功能 | 高优先级 |
| [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) 内反馈的常见功能请求 | 中等优先级 |
| 非核心功能和小幅改进 | 低优先级 |
| 有价值但不紧急 | 未来功能 |
| High-Priority Features as being labeled by a team member | High Priority |
| Popular feature requests from our [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
| Non-core features and minor enhancements | Low Priority |
| Valuable but not immediate | Future-Feature |
### 其他任何事情(例如 bug 报告、性能优化、拼写错误更正):
### 其他任何事情例如bug报告、性能优化、拼写错误更正
* 立即开始编码。
事项优先级:
How we prioritize:
| Issue 类型 | 优先级 |
| Issue Type | Priority |
| ------------------------------------------------------------ | --------------- |
| 核心功能的 Bugs例如无法登录、应用无法工作、安全漏洞 | 紧急 |
| 非紧急 bugs, 性能提升 | 中等优先级 |
| 小幅修复(错别字, 能正常工作但存在误导的 UI) | 低优先级 |
| Bugs in core functions (cannot login, applications not working, security loopholes) | Critical |
| Non-critical bugs, performance boosts | Medium Priority |
| Minor fixes (typos, confusing but working UI) | Low Priority |
## 安装
以下是设置 Dify 进行开发的步骤:
以下是设置Dify进行开发的步骤
### 1. Fork 该仓库
### 1. Fork该仓库
### 2. 克隆仓库
从终端克隆代码仓库:
从终端克隆fork的仓库:
```
git clone git@github.com:<github_username>/dify.git
@@ -70,77 +71,77 @@ Dify 依赖以下工具和库:
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [pnpm](https://pnpm.io/)
- [Python](https://www.python.org/) version 3.11.x or 3.12.x
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.10.x
### 4. 安装
Dify 由后端和前端组成。通过 `cd api/` 导航到后端目录,然后按照 [后端 README](api/README.md) 进行安装。在另一个终端中,通过 `cd web/` 导航到前端目录,然后按照 [前端 README](web/README.md) 进行安装。
Dify由后端和前端组成。通过`cd api/`导航到后端目录,然后按照[后端README](api/README.md)进行安装。在另一个终端中,通过`cd web/`导航到前端目录,然后按照[前端README](web/README.md)进行安装。
查看 [安装常见问题解答](https://docs.dify.ai/v/zh-hans/learn-more/faq/install-faq) 以获取常见问题列表和故障排除步骤。
查看[安装常见问题解答](https://docs.dify.ai/getting-started/faq/install-faq)以获取常见问题列表和故障排除步骤。
### 5. 在浏览器中访问 Dify
### 5. 在浏览器中访问Dify
为了验证您的设置,打开浏览器并访问 [http://localhost:3000](http://localhost:3000)(默认或您自定义的 URL 和端口)。现在您应该看到 Dify 正在运行。
为了验证您的设置,打开浏览器并访问[http://localhost:3000](http://localhost:3000)默认或您自定义的URL和端口。现在您应该看到Dify正在运行。
## 开发
如果您要添加模型提供程序,请参考 [此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
如果您要添加模型提供程序,请参考[此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
如果您要向 AgentWorkflow 添加工具提供程序,请参考 [此指南](./api/core/tools/README.md)。
如果您要向AgentWorkflow添加工具提供程序请参考[此指南](./api/core/tools/README.md)。
为了帮助您快速了解您的贡献在哪个部分,以下是 Dify 后端和前端的简要注释大纲:
为了帮助您快速了解您的贡献在哪个部分以下是Dify后端和前端的简要注释大纲
### 后端
Dify 的后端使用 Python 编写,使用 [Flask](https://flask.palletsprojects.com/en/3.0.x/) 框架。它使用 [SQLAlchemy](https://www.sqlalchemy.org/) 作为 ORM使用 [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) 作为任务队列。授权逻辑通过 Flask-login 进行处理。
Dify的后端使用Python编写使用[Flask](https://flask.palletsprojects.com/en/3.0.x/)框架。它使用[SQLAlchemy](https://www.sqlalchemy.org/)作为ORM使用[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)作为任务队列。授权逻辑通过Flask-login进行处理。
```
[api/]
├── constants // 用于整个代码库的常量设置。
├── controllers // API 路由定义和请求处理逻辑。
├── core // 核心应用编排、模型集成和工具。
├── docker // Docker 和容器化相关配置。
├── events // 事件处理和处理。
├── extensions // 与第三方框架/平台的扩展。
├── fields // 用于序列化/封装的字段定义。
├── libs // 可重用的库和助手。
├── migrations // 数据库迁移脚本。
├── models // 数据库模型和架构定义。
├── services // 指定业务逻辑。
├── storage // 私钥存储。
├── tasks // 异步任务和后台作业的处理。
├── constants // Constant settings used throughout code base.
├── controllers // API route definitions and request handling logic.
├── core // Core application orchestration, model integrations, and tools.
├── docker // Docker & containerization related configurations.
├── events // Event handling and processing
├── extensions // Extensions with 3rd party frameworks/platforms.
├── fields // field definitions for serialization/marshalling.
├── libs // Reusable libraries and helpers.
├── migrations // Scripts for database migration.
├── models // Database models & schema definitions.
├── services // Specifies business logic.
├── storage // Private key storage.
├── tasks // Handling of async tasks and background jobs.
└── tests
```
### 前端
该网站使用基于 Typescript[Next.js](https://nextjs.org/) 模板进行引导,并使用 [Tailwind CSS](https://tailwindcss.com/) 进行样式设计。[React-i18next](https://react.i18next.com/) 用于国际化。
该网站使用基于Typescript[Next.js](https://nextjs.org/)模板进行引导,并使用[Tailwind CSS](https://tailwindcss.com/)进行样式设计。[React-i18next](https://react.i18next.com/)用于国际化。
```
[web/]
├── app // 布局、页面和组件
│ ├── (commonLayout) // 整个应用通用的布局
│ ├── (shareLayout) // 在特定会话中共享的布局
│ ├── activate // 激活页面
│ ├── components // 页面和布局共享的组件
│ ├── install // 安装页面
│ ├── signin // 登录页面
│ └── styles // 全局共享的样式
├── assets // 静态资源
├── bin // 构建步骤运行的脚本
├── config // 可调整的设置和选项
├── context // 应用中不同部分使用的共享上下文
├── dictionaries // 语言特定的翻译文件
├── docker // 容器配置
├── hooks // 可重用的钩子
├── i18n // 国际化配置
├── models // 描述数据模型和 API 响应的形状
├── public // favicon 等元资源
├── service // 定义 API 操作的形状
├── test
├── types // 函数参数和返回值的描述
└── utils // 共享的实用函数
├── app // layouts, pages, and components
│ ├── (commonLayout) // common layout used throughout the app
│ ├── (shareLayout) // layouts specifically shared across token-specific sessions
│ ├── activate // activate page
│ ├── components // shared by pages and layouts
│ ├── install // install page
│ ├── signin // signin page
│ └── styles // globally shared styles
├── assets // Static assets
├── bin // scripts ran at build step
├── config // adjustable settings and options
├── context // shared contexts used by different portions of the app
├── dictionaries // Language-specific translate files
├── docker // container configurations
├── hooks // Reusable hooks
├── i18n // Internationalization configuration
├── models // describes data models & shapes of API responses
├── public // meta assets like favicon
├── service // specifies shapes of API actions
├── test
├── types // descriptions of function params and return values
└── utils // Shared utility functions
```
## 提交你的 PR

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@@ -1,7 +1,7 @@
Dify にコントリビュートしたいとお考えなのですね。それは素晴らしいことです。
私たちは、LLM アプリケーションの構築と管理のための最も直感的なワークフローを設計するという壮大な野望を持っています。人数も資金も限られている新興企業として、コミュニティからの支援は本当に重要です。
私たちは現状を鑑み、機敏かつ迅速に開発をする必要がありますが、同時にあなたのようなコントリビューターの方々に、可能な限りスムーズな貢献体験をしていただきたいと思っています。そのためにこのコントリビュートガイドを作成しました。
私たちは現状を鑑み、機敏かつ迅速に開発をする必要がありますが、同時にあなたのようなコントリビューターの方々に、可能な限りスムーズな貢献体験をしていただきたいと思っています。そのためにこのコントリビュートガイドを作成しました。
コードベースやコントリビュータの方々と私たちがどのように仕事をしているのかに慣れていただき、楽しいパートにすぐに飛び込めるようにすることが目的です。
このガイドは Dify そのものと同様に、継続的に改善されています。実際のプロジェクトに遅れをとることがあるかもしれませんが、ご理解のほどよろしくお願いいたします。
@@ -10,17 +10,17 @@ Dify にコントリビュートしたいとお考えなのですね。それは
## 飛び込む前に
[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:open) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。
[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。
### 機能リクエスト
* 新しい機能要望を出す場合は、提案する機能が何を実現するものなのかを説明し、可能な限り多くのコンテキストを含めてください。[@perzeusss](https://github.com/perzeuss)は、あなたの要望を書き出すのに役立つ [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) を作ってくれました。気軽に試してみてください。
* 新しい機能要望を出す場合は、提案する機能が何を実現するものなのかを説明し、可能な限り多くのコンテキストを含めてください。[@perzeusss](https://github.com/perzeuss)は、あなたの要望を書き出すのに役立つ [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) を作ってくれました。気軽に試してみてください。
* 既存の課題から 1 つ選びたい場合は、その下にコメントを書いてください。
関連する方向で作業しているチームメンバーが参加します。すべてが良好であれば、コーディングを開始する許可が与えられます。私たちが変更を提案した場合にあなたの作業が無駄になることがないよう、それまでこの機能の作業を控えていただくようお願いいたします。
関連する方向で作業しているチームメンバーが参加します。すべてが良好であれば、コーディングを開始する許可が与えられます。私たちが変更を提案した場合にあなたの作業が無駄になることがないよう、それまでこの機能の作業を控えていただくようお願いいたします。
提案された機能がどの分野に属するかによって、あなたは異なるチーム・メンバーと話をするかもしれません。以下は、各チームメンバーが現在取り組んでいる分野の概要です。
提案された機能がどの分野に属するかによって、あなたは異なるチーム・メンバーと話をするかもしれません。以下は、各チームメンバーが現在取り組んでいる分野の概要です。
| Member | Scope |
| --------------------------------------------------------------------------------------- | ------------------------------------ |
@@ -73,8 +73,8 @@ Dify を構築するには次の依存関係が必要です。それらがシス
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [pnpm](https://pnpm.io/)
- [Python](https://www.python.org/) version 3.11.x or 3.12.x
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.10.x
### 4. インストール
@@ -82,7 +82,7 @@ Dify はバックエンドとフロントエンドから構成されています
まず`cd api/`でバックエンドのディレクトリに移動し、[Backend README](api/README.md)に従ってインストールします。
次に別のターミナルで、`cd web/`でフロントエンドのディレクトリに移動し、[Frontend README](web/README.md)に従ってインストールしてください。
よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/v/japanese/learn-more/faq/install-faq) を確認してください。
よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/getting-started/faq/install-faq) を確認してください。
### 5. ブラウザで dify にアクセスする
@@ -153,7 +153,7 @@ Dify のバックエンドは[Flask](https://flask.palletsprojects.com/en/3.0.x/
いよいよ、私たちのリポジトリにプルリクエスト (PR) を提出する時が来ました。主要な機能については、まず `deploy/dev` ブランチにマージしてテストしてから `main` ブランチにマージします。
マージ競合などの問題が発生した場合、またはプル リクエストを開く方法がわからない場合は、[GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) をチェックしてみてください。
これで完了です!あなたの PR がマージされると、[README](https://github.com/langgenius/dify/blob/main/README.md) にコントリビューターとして紹介されます。
これで完了です!あなたの PR がマージされると、[README](https://github.com/langgenius/dify/blob/main/README.md) にコントリビューターとして紹介されます。
## ヘルプを得る

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@@ -1,156 +0,0 @@
Thật tuyệt vời khi bạn muốn đóng góp cho Dify! Chúng tôi rất mong chờ được thấy những gì bạn sẽ làm. Là một startup với nguồn nhân lực và tài chính hạn chế, chúng tôi có tham vọng lớn là thiết kế quy trình trực quan nhất để xây dựng và quản lý các ứng dụng LLM. Mọi sự giúp đỡ từ cộng đồng đều rất quý giá đối với chúng tôi.
Chúng tôi cần linh hoạt và làm việc nhanh chóng, nhưng đồng thời cũng muốn đảm bảo các cộng tác viên như bạn có trải nghiệm đóng góp thuận lợi nhất có thể. Chúng tôi đã tạo ra hướng dẫn đóng góp này nhằm giúp bạn làm quen với codebase và cách chúng tôi làm việc với các cộng tác viên, để bạn có thể nhanh chóng bắt tay vào phần thú vị.
Hướng dẫn này, cũng như bản thân Dify, đang trong quá trình cải tiến liên tục. Chúng tôi rất cảm kích sự thông cảm của bạn nếu đôi khi nó không theo kịp dự án thực tế, và chúng tôi luôn hoan nghênh mọi phản hồi để cải thiện.
Về vấn đề cấp phép, xin vui lòng dành chút thời gian đọc qua [Thỏa thuận Cấp phép và Đóng góp](./LICENSE) ngắn gọn của chúng tôi. Cộng đồng cũng tuân thủ [quy tắc ứng xử](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
## Trước khi bắt đầu
[Tìm kiếm](https://github.com/langgenius/dify/issues?q=is:issue+is:open) một vấn đề hiện có, hoặc [tạo mới](https://github.com/langgenius/dify/issues/new/choose) một vấn đề. Chúng tôi phân loại các vấn đề thành 2 loại:
### Yêu cầu tính năng:
* Nếu bạn đang tạo một yêu cầu tính năng mới, chúng tôi muốn bạn giải thích tính năng đề xuất sẽ đạt được điều gì và cung cấp càng nhiều thông tin chi tiết càng tốt. [@perzeusss](https://github.com/perzeuss) đã tạo một [Trợ lý Yêu cầu Tính năng](https://udify.app/chat/MK2kVSnw1gakVwMX) rất hữu ích để giúp bạn soạn thảo nhu cầu của mình. Hãy thử dùng nó nhé.
* Nếu bạn muốn chọn một vấn đề từ danh sách hiện có, chỉ cần để lại bình luận dưới vấn đề đó nói rằng bạn sẽ làm.
Một thành viên trong nhóm làm việc trong lĩnh vực liên quan sẽ được thông báo. Nếu mọi thứ ổn, họ sẽ cho phép bạn bắt đầu code. Chúng tôi yêu cầu bạn chờ đợi cho đến lúc đó trước khi bắt tay vào làm tính năng, để không lãng phí công sức của bạn nếu chúng tôi đề xuất thay đổi.
Tùy thuộc vào lĩnh vực mà tính năng đề xuất thuộc về, bạn có thể nói chuyện với các thành viên khác nhau trong nhóm. Dưới đây là danh sách các lĩnh vực mà các thành viên trong nhóm chúng tôi đang làm việc hiện tại:
| Thành viên | Phạm vi |
| ------------------------------------------------------------ | ---------------------------------------------------- |
| [@yeuoly](https://github.com/Yeuoly) | Thiết kế kiến trúc Agents |
| [@jyong](https://github.com/JohnJyong) | Thiết kế quy trình RAG |
| [@GarfieldDai](https://github.com/GarfieldDai) | Xây dựng quy trình làm việc |
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Làm cho giao diện người dùng dễ sử dụng |
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Trải nghiệm nhà phát triển, đầu mối liên hệ cho mọi vấn đề |
| [@takatost](https://github.com/takatost) | Định hướng và kiến trúc tổng thể sản phẩm |
Cách chúng tôi ưu tiên:
| Loại tính năng | Mức độ ưu tiên |
| ------------------------------------------------------------ | -------------- |
| Tính năng ưu tiên cao được gắn nhãn bởi thành viên trong nhóm | Ưu tiên cao |
| Yêu cầu tính năng phổ biến từ [bảng phản hồi cộng đồng](https://github.com/langgenius/dify/discussions/categories/feedbacks) của chúng tôi | Ưu tiên trung bình |
| Tính năng không quan trọng và cải tiến nhỏ | Ưu tiên thấp |
| Có giá trị nhưng không cấp bách | Tính năng tương lai |
### Những vấn đề khác (ví dụ: báo cáo lỗi, tối ưu hiệu suất, sửa lỗi chính tả):
* Bắt đầu code ngay lập tức.
Cách chúng tôi ưu tiên:
| Loại vấn đề | Mức độ ưu tiên |
| ------------------------------------------------------------ | -------------- |
| Lỗi trong các chức năng chính (không thể đăng nhập, ứng dụng không hoạt động, lỗ hổng bảo mật) | Nghiêm trọng |
| Lỗi không quan trọng, cải thiện hiệu suất | Ưu tiên trung bình |
| Sửa lỗi nhỏ (lỗi chính tả, giao diện người dùng gây nhầm lẫn nhưng vẫn hoạt động) | Ưu tiên thấp |
## Cài đặt
Dưới đây là các bước để thiết lập Dify cho việc phát triển:
### 1. Fork repository này
### 2. Clone repository
Clone repository đã fork từ terminal của bạn:
```
git clone git@github.com:<tên_người_dùng_github>/dify.git
```
### 3. Kiểm tra các phụ thuộc
Dify yêu cầu các phụ thuộc sau để build, hãy đảm bảo chúng đã được cài đặt trên hệ thống của bạn:
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [pnpm](https://pnpm.io/)
- [Python](https://www.python.org/) phiên bản 3.11.x hoặc 3.12.x
### 4. Cài đặt
Dify bao gồm một backend và một frontend. Đi đến thư mục backend bằng lệnh `cd api/`, sau đó làm theo hướng dẫn trong [README của Backend](api/README.md) để cài đặt. Trong một terminal khác, đi đến thư mục frontend bằng lệnh `cd web/`, sau đó làm theo hướng dẫn trong [README của Frontend](web/README.md) để cài đặt.
Kiểm tra [FAQ về cài đặt](https://docs.dify.ai/learn-more/faq/install-faq) để xem danh sách các vấn đề thường gặp và các bước khắc phục.
### 5. Truy cập Dify trong trình duyệt của bạn
Để xác nhận cài đặt của bạn, hãy truy cập [http://localhost:3000](http://localhost:3000) (địa chỉ mặc định, hoặc URL và cổng bạn đã cấu hình) trong trình duyệt. Bạn sẽ thấy Dify đang chạy.
## Phát triển
Nếu bạn đang thêm một nhà cung cấp mô hình, [hướng dẫn này](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) dành cho bạn.
Nếu bạn đang thêm một nhà cung cấp công cụ cho Agent hoặc Workflow, [hướng dẫn này](./api/core/tools/README.md) dành cho bạn.
Để giúp bạn nhanh chóng định hướng phần đóng góp của mình, dưới đây là một bản phác thảo ngắn gọn về cấu trúc backend & frontend của Dify:
### Backend
Backend của Dify được viết bằng Python sử dụng [Flask](https://flask.palletsprojects.com/en/3.0.x/). Nó sử dụng [SQLAlchemy](https://www.sqlalchemy.org/) cho ORM và [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) cho hàng đợi tác vụ. Logic xác thực được thực hiện thông qua Flask-login.
```
[api/]
├── constants // Các cài đặt hằng số được sử dụng trong toàn bộ codebase.
├── controllers // Định nghĩa các route API và logic xử lý yêu cầu.
├── core // Điều phối ứng dụng cốt lõi, tích hợp mô hình và công cụ.
├── docker // Cấu hình liên quan đến Docker & containerization.
├── events // Xử lý và xử lý sự kiện
├── extensions // Mở rộng với các framework/nền tảng bên thứ 3.
├── fields // Định nghĩa trường cho serialization/marshalling.
├── libs // Thư viện và tiện ích có thể tái sử dụng.
├── migrations // Script cho việc di chuyển cơ sở dữ liệu.
├── models // Mô hình cơ sở dữ liệu & định nghĩa schema.
├── services // Xác định logic nghiệp vụ.
├── storage // Lưu trữ khóa riêng tư.
├── tasks // Xử lý các tác vụ bất đồng bộ và công việc nền.
└── tests
```
### Frontend
Website được khởi tạo trên boilerplate [Next.js](https://nextjs.org/) bằng Typescript và sử dụng [Tailwind CSS](https://tailwindcss.com/) cho styling. [React-i18next](https://react.i18next.com/) được sử dụng cho việc quốc tế hóa.
```
[web/]
├── app // layouts, pages và components
│ ├── (commonLayout) // layout chung được sử dụng trong toàn bộ ứng dụng
│ ├── (shareLayout) // layouts được chia sẻ cụ thể cho các phiên dựa trên token
│ ├── activate // trang kích hoạt
│ ├── components // được chia sẻ bởi các trang và layouts
│ ├── install // trang cài đặt
│ ├── signin // trang đăng nhập
│ └── styles // styles được chia sẻ toàn cục
├── assets // Tài nguyên tĩnh
├── bin // scripts chạy ở bước build
├── config // cài đặt và tùy chọn có thể điều chỉnh
├── context // contexts được chia sẻ bởi các phần khác nhau của ứng dụng
├── dictionaries // File dịch cho từng ngôn ngữ
├── docker // cấu hình container
├── hooks // Hooks có thể tái sử dụng
├── i18n // Cấu hình quốc tế hóa
├── models // mô tả các mô hình dữ liệu & hình dạng của phản hồi API
├── public // tài nguyên meta như favicon
├── service // xác định hình dạng của các hành động API
├── test
├── types // mô tả các tham số hàm và giá trị trả về
└── utils // Các hàm tiện ích được chia sẻ
```
## Gửi PR của bạn
Cuối cùng, đã đến lúc mở một pull request (PR) đến repository của chúng tôi. Đối với các tính năng lớn, chúng tôi sẽ merge chúng vào nhánh `deploy/dev` để kiểm tra trước khi đưa vào nhánh `main`. Nếu bạn gặp vấn đề như xung đột merge hoặc không biết cách mở pull request, hãy xem [hướng dẫn về pull request của GitHub](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests).
Và thế là xong! Khi PR của bạn được merge, bạn sẽ được giới thiệu là một người đóng góp trong [README](https://github.com/langgenius/dify/blob/main/README.md) của chúng tôi.
## Nhận trợ giúp
Nếu bạn gặp khó khăn hoặc có câu hỏi cấp bách trong quá trình đóng góp, hãy đặt câu hỏi của bạn trong vấn đề GitHub liên quan, hoặc tham gia [Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi để trò chuyện nhanh chóng.

24
LICENSE
View File

@@ -1,14 +1,13 @@
# Open Source License
Dify is licensed under a modified version of the Apache License 2.0, with the following additional conditions:
Dify is licensed under the Apache License 2.0, with the following additional conditions:
1. Dify may be utilized commercially, including as a backend service for other applications or as an application development platform for enterprises. Should the conditions below be met, a commercial license must be obtained from the producer:
a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment.
a. Multi-tenant SaaS service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment.
- Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
b. LOGO and copyright information: In the process of using Dify's frontend, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend.
- Frontend Definition: For the purposes of this license, the "frontend" of Dify includes all components located in the `web/` directory when running Dify from the raw source code, or the "web" image when running Dify with Docker.
b. LOGO and copyright information: In the process of using Dify's frontend components, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend components.
Please contact business@dify.ai by email to inquire about licensing matters.
@@ -21,4 +20,19 @@ Apart from the specific conditions mentioned above, all other rights and restric
The interactive design of this product is protected by appearance patent.
© 2025 LangGenius, Inc.
© 2024 LangGenius, Inc.
----------
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

122
README.md
View File

@@ -1,14 +1,10 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a>
</p>
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Enterprise inquiry</a>
<a href="https://cal.com/guchenhe/60-min-meeting">Enterprise inquiry</a>
</p>
<p align="center">
@@ -19,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="join Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -47,38 +37,12 @@
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
</br> </br>
## Quick start
> Before installing Dify, make sure your machine meets the following minimum system requirements:
>
>- CPU >= 2 Core
>- RAM >= 4 GiB
</br>
The easiest way to start the Dify server is through [docker compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
```bash
cd dify
cd docker
cp .env.example .env
docker compose up -d
```
After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
#### Seeking help
Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues.
> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Key features
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
@@ -100,7 +64,7 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
**5. Agent capabilities**:
You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DELL·E, Stable Diffusion and WolframAlpha.
**6. LLMOps**:
Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
@@ -108,7 +72,8 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
**7. Backend-as-a-Service**:
All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
## Feature Comparison
## Feature comparison
<table style="width: 100%;">
<tr>
<th align="center">Feature</th>
@@ -160,7 +125,7 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Enterprise Feature (SSO/Access control)</td>
<td align="center">Enterprise Features (SSO/Access control)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
@@ -185,7 +150,7 @@ Quickly get Dify running in your environment with this [starter guide](#quick-st
Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
- **Dify for enterprise / organizations</br>**
We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
We provide additional enterprise-centric features. [Schedule a meeting with us](https://cal.com/guchenhe/30min) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
@@ -196,7 +161,28 @@ Star Dify on GitHub and be instantly notified of new releases.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Advanced Setup
## Quick start
> Before installing Dify, make sure your machine meets the following minimum system requirements:
>
>- CPU >= 2 Core
>- RAM >= 4GB
</br>
The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Next steps
If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
@@ -208,21 +194,10 @@ If you'd like to configure a highly-available setup, there are community-contrib
#### Using Terraform for Deployment
Deploy Dify to Cloud Platform with a single click using [terraform](https://www.terraform.io/)
##### Azure Global
Deploy Dify to Azure with a single click using [terraform](https://www.terraform.io/).
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Using AWS CDK for Deployment
Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Contributing
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
@@ -231,19 +206,37 @@ At the same time, please consider supporting Dify by sharing it on social media
> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
## Community & contact
* [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
* [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
**Contributors**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Community & contact
* [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Email](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
Or, schedule a meeting directly with a team member:
<table>
<tr>
<th>Point of Contact</th>
<th>Purpose</th>
</tr>
<tr>
<td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>Business enquiries & product feedback</td>
</tr>
<tr>
<td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>Contributions, issues & feature requests</td>
</tr>
</table>
## Star history
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
@@ -256,4 +249,3 @@ To protect your privacy, please avoid posting security issues on GitHub. Instead
## License
This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

View File

@@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">الاستضافة الذاتية</a> ·
<a href="https://docs.dify.ai">التوثيق</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">استفسار الشركات (للإنجليزية فقط)</a>
<a href="https://cal.com/guchenhe/60-min-meeting">استفسارات الشركات</a>
</p>
<p align="center">
@@ -15,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="join Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -43,8 +37,6 @@
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
<div style="text-align: right;">
@@ -64,7 +56,7 @@
**4. خط أنابيب RAG**: قدرات RAG الواسعة التي تغطي كل شيء من استيعاب الوثائق إلى الاسترجاع، مع الدعم الفوري لاستخراج النص من ملفات PDF و PPT وتنسيقات الوثائق الشائعة الأخرى.
**5. قدرات الوكيل**: يمكنك تعريف الوكلاء بناءً على أمر وظيفة LLM أو ReAct، وإضافة أدوات مدمجة أو مخصصة للوكيل. توفر Dify أكثر من 50 أداة مدمجة لوكلاء الذكاء الاصطناعي، مثل البحث في Google و DALL·E وStable Diffusion و WolframAlpha.
**5. قدرات الوكيل**: يمكنك تعريف الوكلاء بناءً على أمر وظيفة LLM أو ReAct، وإضافة أدوات مدمجة أو مخصصة للوكيل. توفر Dify أكثر من 50 أداة مدمجة لوكلاء الذكاء الاصطناعي، مثل البحث في Google و DELL·E وStable Diffusion و WolframAlpha.
**6. الـ LLMOps**: راقب وتحلل سجلات التطبيق والأداء على مر الزمن. يمكنك تحسين الأوامر والبيانات والنماذج باستمرار استنادًا إلى البيانات الإنتاجية والتعليقات.
@@ -185,20 +177,10 @@ docker compose up -d
#### استخدام Terraform للتوزيع
انشر Dify إلى منصة السحابة بنقرة واحدة باستخدام [terraform](https://www.terraform.io/)
##### Azure Global
استخدم [terraform](https://www.terraform.io/) لنشر Dify على Azure بنقرة واحدة.
- [Azure Terraform بواسطة @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform بواسطة @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### استخدام AWS CDK للنشر
انشر Dify على AWS باستخدام [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK بواسطة @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## المساهمة
@@ -217,9 +199,27 @@ docker compose up -d
## المجتمع والاتصال
* [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
* [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [البريد الإلكتروني](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). الأفضل لـ: الأسئلة التي تتعلق باستخدام Dify.AI.
* [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
* [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
أو، قم بجدولة اجتماع مباشرة مع أحد أعضاء الفريق:
<table>
<tr>
<th>نقطة الاتصال</th>
<th>الغرض</th>
</tr>
<tr>
<td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>استفسارات الأعمال واقتراحات حول المنتج</td>
</tr>
<tr>
<td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>المساهمات والمشكلات وطلبات الميزات</td>
</tr>
</table>
## تاريخ النجمة
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
@@ -232,10 +232,3 @@ docker compose up -d
## الرخصة
هذا المستودع متاح تحت [رخصة البرنامج الحر Dify](LICENSE)، والتي تعتبر بشكل أساسي Apache 2.0 مع بعض القيود الإضافية.
## الكشف عن الأمان
لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى security@dify.ai وسنقدم لك إجابة أكثر تفصيلاً.
## الرخصة
هذا المستودع متاح تحت [رخصة البرنامج الحر Dify](LICENSE)، والتي تعتبر بشكل أساسي Apache 2.0 مع بعض القيود الإضافية.

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@@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify 云服务</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">自托管</a> ·
<a href="https://docs.dify.ai">文档</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">(需用英文)常见问题解答 / 联系团队</a>
<a href="https://cal.com/guchenhe/dify-demo">预约演示</a>
</div>
<p align="center">
@@ -15,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="join Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -35,16 +29,13 @@
</p>
<div align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/英文-d9d9d9"></a>
<a href="./README_CN.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/西班牙语-d9d9d9"></a>
<a href="./README_KL.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/法语-d9d9d9"></a>
<a href="./README_FR.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/克林贡语-d9d9d9"></a>
<a href="./README_KR.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/韓國語-d9d9d9"></a>
</div>
@@ -78,7 +69,7 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
广泛的 RAG 功能,涵盖从文档摄入到检索的所有内容,支持从 PDF、PPT 和其他常见文档格式中提取文本的开箱即用的支持。
**5. Agent 智能体**:
您可以基于 LLM 函数调用或 ReAct 定义 Agent并为 Agent 添加预构建或自定义工具。Dify 为 AI Agent 提供了50多种内置工具如谷歌搜索、DALL·E、Stable Diffusion 和 WolframAlpha 等。
您可以基于 LLM 函数调用或 ReAct 定义 Agent并为 Agent 添加预构建或自定义工具。Dify 为 AI Agent 提供了50多种内置工具如谷歌搜索、DELL·E、Stable Diffusion 和 WolframAlpha 等。
**6. LLMOps**:
随时间监视和分析应用程序日志和性能。您可以根据生产数据和标注持续改进提示、数据集和模型。
@@ -160,11 +151,11 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
我们提供[ Dify 云服务](https://dify.ai),任何人都可以零设置尝试。它提供了自部署版本的所有功能,并在沙盒计划中包含 200 次免费的 GPT-4 调用。
- **自托管 Dify 社区版</br>**
使用这个[入门指南](#快速启动)快速在您的环境中运行 Dify。
使用这个[入门指南](#quick-start)快速在您的环境中运行 Dify。
使用我们的[文档](https://docs.dify.ai)进行进一步的参考和更深入的说明。
- **面向企业/组织的 Dify</br>**
我们提供额外的面向企业的功能。[给我们发送电子邮件](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)讨论企业需求。 </br>
我们提供额外的面向企业的功能。[与我们安排会议](https://cal.com/guchenhe/30min)或[给我们发送电子邮件](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)讨论企业需求。 </br>
> 对于使用 AWS 的初创公司和中小型企业,请查看 [AWS Marketplace 上的 Dify 高级版](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6),并使用一键部署到您自己的 AWS VPC。它是一个价格实惠的 AMI 产品,提供了使用自定义徽标和品牌创建应用程序的选项。
## 保持领先
@@ -180,7 +171,7 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
在安装 Dify 之前,请确保您的机器满足以下最低系统要求:
- CPU >= 2 Core
- RAM >= 4 GiB
- RAM >= 4GB
### 快速启动
@@ -208,21 +199,10 @@ docker compose up -d
#### 使用 Terraform 部署
使用 [terraform](https://www.terraform.io/) 一键将 Dify 部署到云平台
##### Azure Global
使用 [terraform](https://www.terraform.io/) 一键部署 Dify 到 Azure。
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### 使用 AWS CDK 部署
使用 [CDK](https://aws.amazon.com/cdk/) 将 Dify 部署到 AWS
##### AWS
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
@@ -249,7 +229,7 @@ docker compose up -d
- [GitHub Issues](https://github.com/langgenius/dify/issues)。👉:使用 Dify.AI 时遇到的错误和问题,请参阅[贡献指南](CONTRIBUTING.md)。
- [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉:关于使用 Dify.AI 的问题。
- [Discord](https://discord.gg/FngNHpbcY7)。👉:分享您的应用程序并与社区交流。
- [X(Twitter)](https://twitter.com/dify_ai)。👉:分享您的应用程序并与社区交流。
- [Twitter](https://twitter.com/dify_ai)。👉:分享您的应用程序并与社区交流。
- [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉:有关商业用途许可 Dify.AI 的商业咨询。
- [微信]() 👉:扫描下方二维码,添加微信好友,备注 Dify我们将邀请您加入 Dify 社区。
<img src="./images/wechat.png" alt="wechat" width="100"/>

View File

@@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-alojamiento</a> ·
<a href="https://docs.dify.ai">Documentación</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariales (en inglés)</a>
<a href="https://cal.com/guchenhe/dify-demo">Programar demostración</a>
</p>
<p align="center">
@@ -15,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat en Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="join Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="seguir en X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="seguir en LinkedIn"></a>
alt="seguir en Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Descargas de Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -35,16 +29,13 @@
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Inglés-d9d9d9"></a>
<a href="./README_CN.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_KL.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_FR.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
</p>
#
@@ -78,7 +69,7 @@ Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto.
**5. Capacidades de agente**:
Puedes definir agent
es basados en LLM Function Calling o ReAct, y agregar herramientas preconstruidas o personalizadas para el agente. Dify proporciona más de 50 herramientas integradas para agentes de IA, como Búsqueda de Google, DALL·E, Difusión Estable y WolframAlpha.
es basados en LLM Function Calling o ReAct, y agregar herramientas preconstruidas o personalizadas para el agente. Dify proporciona más de 50 herramientas integradas para agentes de IA, como Búsqueda de Google, DELL·E, Difusión Estable y WolframAlpha.
**6. LLMOps**:
Supervisa y analiza registros de aplicaciones y rendimiento a lo largo del tiempo. Podrías mejorar continuamente prompts, conjuntos de datos y modelos basados en datos de producción y anotaciones.
@@ -164,7 +155,7 @@ Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio
Usa nuestra [documentación](https://docs.dify.ai) para más referencias e instrucciones más detalladas.
- **Dify para Empresas / Organizaciones</br>**
Proporcionamos características adicionales centradas en la empresa. [Envíanos un correo electrónico](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir las necesidades empresariales. </br>
Proporcionamos características adicionales centradas en la empresa. [Programa una reunión con nosotros](https://cal.com/guchenhe/30min) o [envíanos un correo electrónico](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir las necesidades empresariales. </br>
> Para startups y pequeñas empresas que utilizan AWS, echa un vistazo a [Dify Premium en AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e impleméntalo en tu propio VPC de AWS con un clic. Es una AMI asequible que ofrece la opción de crear aplicaciones con logotipo y marca personalizados.
@@ -210,20 +201,10 @@ Si desea configurar una configuración de alta disponibilidad, la comunidad prop
#### Uso de Terraform para el despliegue
Despliega Dify en una plataforma en la nube con un solo clic utilizando [terraform](https://www.terraform.io/)
##### Azure Global
Utiliza [terraform](https://www.terraform.io/) para desplegar Dify en Azure con un solo clic.
- [Azure Terraform por @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform por @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Usando AWS CDK para el Despliegue
Despliegue Dify en AWS usando [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Contribuir
@@ -243,8 +224,26 @@ Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en
* [Discusión en GitHub](https://github.com/langgenius/dify/discussions). Lo mejor para: compartir comentarios y hacer preguntas.
* [Reporte de problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores que encuentres usando Dify.AI y propuestas de características. Consulta nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Correo electrónico](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Lo mejor para: preguntas que tengas sobre el uso de Dify.AI.
* [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
* [X(Twitter)](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
* [Twitter](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
O, programa una reunión directamente con un miembro del equipo:
<table>
<tr>
<th>Punto de Contacto</th>
<th>Propósito</th>
</tr>
<tr>
<td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>Consultas comerciales y retroalimentación del producto</td>
</tr>
<tr>
<td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>Contribuciones, problemas y solicitudes de características</td>
</tr>
</table>
## Historial de Estrellas
@@ -257,11 +256,4 @@ Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En
## Licencia
Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.
## Divulgación de Seguridad
Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
## Licencia
Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.
Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

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@@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hébergement</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Demande dentreprise (en anglais seulement)</a>
<a href="https://cal.com/guchenhe/dify-demo">Planifier une démo</a>
</p>
<p align="center">
@@ -15,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat sur Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="join Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="suivre sur X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="suivre sur LinkedIn"></a>
alt="suivre sur Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Tirages Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -35,16 +29,13 @@
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Anglais-d9d9d9"></a>
<a href="./README_CN.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_KL.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_FR.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
</p>
#
@@ -55,7 +46,7 @@
Dify est une plateforme de développement d'applications LLM open source. Son interface intuitive combine un flux de travail d'IA, un pipeline RAG, des capacités d'agent, une gestion de modèles, des fonctionnalités d'observabilité, et plus encore, vous permettant de passer rapidement du prototype à la production. Voici une liste des fonctionnalités principales:
</br> </br>
**1. Flux de travail** :
**1. Flux de travail**:
Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore.
@@ -63,25 +54,27 @@ Dify est une plateforme de développement d'applications LLM open source. Son in
**2. Prise en charge complète des modèles** :
**2. Prise en charge complète des modèles**:
Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. IDE de prompt** :
**3. IDE de prompt**:
Interface intuitive pour créer des prompts, comparer les performances des modèles et ajouter des fonctionnalités supplémentaires telles que la synthèse vocale à une application basée sur des chats.
**4. Pipeline RAG** :
**4. Pipeline RAG**:
Des capacités RAG étendues qui couvrent tout, de l'ingestion de documents à la récupération, avec un support prêt à l'emploi pour l'extraction de texte à partir de PDF, PPT et autres formats de document courants.
**5. Capacités d'agent** :
Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DALL·E, Stable Diffusion et WolframAlpha.
**5. Capac
**6. LLMOps** :
ités d'agent**:
Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DELL·E, Stable Diffusion et WolframAlpha.
**6. LLMOps**:
Surveillez et analysez les journaux d'application et les performances au fil du temps. Vous pouvez continuellement améliorer les prompts, les ensembles de données et les modèles en fonction des données de production et des annotations.
**7. Backend-as-a-Service** :
**7. Backend-as-a-Service**:
Toutes les offres de Dify sont accompagnées d'API correspondantes, vous permettant d'intégrer facilement Dify dans votre propre logique métier.
@@ -162,7 +155,7 @@ Lancez rapidement Dify dans votre environnement avec ce [guide de démarrage](#q
Utilisez notre [documentation](https://docs.dify.ai) pour plus de références et des instructions plus détaillées.
- **Dify pour les entreprises / organisations</br>**
Nous proposons des fonctionnalités supplémentaires adaptées aux entreprises. [Envoyez-nous un e-mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) pour discuter des besoins de l'entreprise. </br>
Nous proposons des fonctionnalités supplémentaires adaptées aux entreprises. [Planifiez une réunion avec nous](https://cal.com/guchenhe/30min) ou [envoyez-nous un e-mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) pour discuter des besoins de l'entreprise. </br>
> Pour les startups et les petites entreprises utilisant AWS, consultez [Dify Premium sur AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) et déployez-le dans votre propre VPC AWS en un clic. C'est une offre AMI abordable avec la possibilité de créer des applications avec un logo et une marque personnalisés.
@@ -206,20 +199,10 @@ Si vous souhaitez configurer une configuration haute disponibilité, la communau
#### Utilisation de Terraform pour le déploiement
Déployez Dify sur une plateforme cloud en un clic en utilisant [terraform](https://www.terraform.io/)
##### Azure Global
Utilisez [terraform](https://www.terraform.io/) pour déployer Dify sur Azure en un clic.
- [Azure Terraform par @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform par @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Utilisation d'AWS CDK pour le déploiement
Déployez Dify sur AWS en utilisant [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK par @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Contribuer
@@ -239,8 +222,26 @@ Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur le
* [Discussion GitHub](https://github.com/langgenius/dify/discussions). Meilleur pour: partager des commentaires et poser des questions.
* [Problèmes GitHub](https://github.com/langgenius/dify/issues). Meilleur pour: les bogues que vous rencontrez en utilisant Dify.AI et les propositions de fonctionnalités. Consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [E-mail](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Meilleur pour: les questions que vous avez sur l'utilisation de Dify.AI.
* [Discord](https://discord.gg/FngNHpbcY7). Meilleur pour: partager vos applications et passer du temps avec la communauté.
* [X(Twitter)](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.
* [Twitter](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.
Ou, planifiez directement une réunion avec un membre de l'équipe:
<table>
<tr>
<th>Point de contact</th>
<th>Objectif</th>
</tr>
<tr>
<td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>Demandes commerciales & retours produit</td>
</tr>
<tr>
<td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>Contributions, problèmes & demandes de fonctionnalités</td>
</tr>
</table>
## Historique des étoiles
@@ -254,10 +255,3 @@ Pour protéger votre vie privée, veuillez éviter de publier des problèmes de
## Licence
Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.
## Divulgation de sécurité
Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Au lieu de cela, envoyez vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.
## Licence
Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.

View File

@@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">セルフホスティング</a> ·
<a href="https://docs.dify.ai">ドキュメント</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業のお問い合わせ(英語のみ)</a>
<a href="https://cal.com/guchenhe/dify-demo">デモの予約</a>
</p>
<p align="center">
@@ -15,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="Discordでチャット"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="X(Twitter)でフォロー"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="LinkedInでフォロー"></a>
alt="Twitterでフォロー"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -35,16 +29,13 @@
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README.md"><img alt="先月のコミット" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="先月のコミット" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="先月のコミット" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_KL.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_FR.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="先月のコミット" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
</p>
#
@@ -74,10 +65,10 @@ DifyはオープンソースのLLMアプリケーション開発プラットフ
プロンプトの作成、モデルパフォーマンスの比較が行え、チャットベースのアプリに音声合成などの機能も追加できます。
**4. RAGパイプライン**:
ドキュメントの取り込みから検索までをカバーする広範なRAG機能ができます。ほかにもPDF、PPT、その他の一般的なドキュメントフォーマットからのテキスト抽出のサートも提供します。
ドキュメントの取り込みから検索までをカバーする広範なRAG機能ができます。ほかにもPDF、PPT、その他の一般的なドキュメントフォーマットからのテキスト抽出のサーポイントも提供します。
**5. エージェント機能**:
LLM Function CallingやReActに基づくエージェントの定義が可能で、AIエージェント用のプリビルトまたはカスタムツールを追加できます。Difyには、Google検索、DALL·E、Stable Diffusion、WolframAlphaなどのAIエージェント用の50以上の組み込みツールが提供します。
LLM Function CallingやReActに基づくエージェントの定義が可能で、AIエージェント用のプリビルトまたはカスタムツールを追加できます。Difyには、Google検索、DELL·E、Stable Diffusion、WolframAlphaなどのAIエージェント用の50以上の組み込みツールが提供します。
**6. LLMOps**:
アプリケーションのログやパフォーマンスを監視と分析し、生産のデータと注釈に基づいて、プロンプト、データセット、モデルを継続的に改善できます。
@@ -163,8 +154,8 @@ DifyはオープンソースのLLMアプリケーション開発プラットフ
詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。
- **企業/組織向けのDify</br>**
企業中心の機能を提供しています。[メールを送信](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)して企業のニーズについて相談してください。 </br>
> AWSを使用しているスタートアップ企業や中小企業の場合は、[AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t23mebxzwjhu6)のDify Premiumをチェックして、ワンクリックで自分のAWS VPCにデプロイできます。さらに、手頃な価格のAMIオファリングして、ロゴやブランディングをカスタマイズしてアプリケーションを作成するオプションがあります。
企業中心の機能を提供しています。[こちらからミーティングを予約](https://cal.com/guchenhe/30min)したり、[メールを送信](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)して企業のニーズについて相談してください。 </br>
> AWSを使用しているスタートアップ企業や中小企業の場合は、[AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)のDify Premiumをチェックして、ワンクリックで自分のAWS VPCにデプロイできます。さらに、手頃な価格のAMIオファリングして、ロゴやブランディングをカスタマイズしてアプリケーションを作成するオプションがあります。
## 最新の情報を入手
@@ -207,20 +198,10 @@ docker compose up -d
#### Terraformを使用したデプロイ
[terraform](https://www.terraform.io/) を使用して、ワンクリックでDifyをクラウドプラットフォームにデプロイします
##### Azure Global
- [@nikawangによるAzure Terraform](https://github.com/nikawang/dify-azure-terraform)
[terraform](https://www.terraform.io/) を使用して、AzureにDifyをワンクリックでデプロイします。
- [nikawangのAzure Terraform](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [@sotazumによるGoogle Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
#### AWS CDK を使用したデプロイ
[CDK](https://aws.amazon.com/cdk/) を使用して、DifyをAWSにデプロイします
##### AWS
- [@KevinZhaoによるAWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## 貢献
@@ -240,9 +221,32 @@ docker compose up -d
* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
* [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
* [Email](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). 主に: Dify.AIの使用に関する質問。
* [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
* [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。
* [Twitter](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。
または、直接チームメンバーとミーティングをスケジュール:
<table>
<tr>
<th>連絡先</th>
<th>目的</th>
</tr>
<tr>
<td><a href='https://cal.com
/guchenhe/30min'>ミーティング</a></td>
<td>無料の30分間のミーティングをスケジュール</td>
</tr>
<tr>
<td><a href='mailto:support@dify.ai?subject=[GitHub]Technical%20Support'>技術サポート</a></td>
<td>技術的な問題やサポートに関する質問</td>
</tr>
<tr>
<td><a href='mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry'>営業担当</a></td>
<td>法人ライセンスに関するお問い合わせ</td>
</tr>
</table>
## ライセンス

View File

@@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Commercial enquiries</a>
<a href="https://cal.com/guchenhe/dify-demo">Schedule demo</a>
</p>
<p align="center">
@@ -15,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="Follow Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -35,16 +29,13 @@
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README.md"><img alt="Commits last month" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="Commits last month" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="Commits last month" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="Commits last month" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_KL.md"><img alt="Commits last month" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_FR.md"><img alt="Commits last month" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="Commits last month" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
</p>
#
@@ -76,7 +67,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
**5. Agent capabilities**:
You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DELL·E, Stable Diffusion and WolframAlpha.
**6. LLMOps**:
Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
@@ -87,7 +78,9 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
## Feature Comparison
<table style="width: 100%;">
<tr>
<tr
>
<th align="center">Feature</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
@@ -162,7 +155,7 @@ Quickly get Dify running in your environment with this [starter guide](#quick-st
Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
- **Dify for Enterprise / Organizations</br>**
We provide additional enterprise-centric features. [Send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
We provide additional enterprise-centric features. [Schedule a meeting with us](https://cal.com/guchenhe/30min) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
@@ -206,20 +199,10 @@ If you'd like to configure a highly-available setup, there are community-contrib
#### Terraform atorlugu pilersitsineq
wa'logh nIqHom neH ghun deployment toy'wI' [terraform](https://www.terraform.io/) lo'laH.
##### Azure Global
- [Azure Terraform mung @nikawang](https://github.com/nikawang/dify-azure-terraform)
Atoruk [terraform](https://www.terraform.io/) Dify-mik Azure-mut ataatsikkut ikkussuilluarlugu.
- [Azure Terraform atorlugu @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform qachlot @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### AWS CDK atorlugh pilersitsineq
wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo'laH.
##### AWS
- [AWS CDK qachlot @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Contributing
@@ -241,8 +224,26 @@ At the same time, please consider supporting Dify by sharing it on social media
). Best for: sharing feedback and asking questions.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Email](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Best for: questions you have about using Dify.AI.
* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
* [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
Or, schedule a meeting directly with a team member:
<table>
<tr>
<th>Point of Contact</th>
<th>Purpose</th>
</tr>
<tr>
<td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>Business enquiries & product feedback</td>
</tr>
<tr>
<td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>Contributions, issues & feature requests</td>
</tr>
</table>
## Star History
@@ -255,4 +256,4 @@ To protect your privacy, please avoid posting security issues on GitHub. Instead
## License
This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

View File

@@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify 클라우드</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">셀프-호스팅</a> ·
<a href="https://docs.dify.ai">문서</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">기업 문의 (영어만 가능)</a>
<a href="https://cal.com/guchenhe/60-min-meeting">기업 문의</a>
</p>
<p align="center">
@@ -15,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="Follow Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -41,10 +35,8 @@
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README_KR.md"><img alt="한국어 README" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
</p>
@@ -71,7 +63,7 @@
문서 수집부터 검색까지 모든 것을 다루며, PDF, PPT 및 기타 일반적인 문서 형식에서 텍스트 추출을 위한 기본 지원이 포함되어 있는 광범위한 RAG 기능을 제공합니다.
**5. 에이전트 기능**:
LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DALL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.
LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DELL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.
**6. LLMOps**:
시간 경과에 따른 애플리케이션 로그와 성능을 모니터링하고 분석합니다. 생산 데이터와 주석을 기반으로 프롬프트, 데이터세트, 모델을 지속적으로 개선할 수 있습니다.
@@ -156,7 +148,7 @@
추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai)를 사용하세요.
- **기업 / 조직을 위한 Dify</br>**
우리는 추가적인 기업 중심 기능을 제공합니다. 잡거나 [이메일 보내기](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </br>
우리는 추가적인 기업 중심 기능을 제공합니다. 당사와 [미팅일정](https://cal.com/guchenhe/30min)을 잡거나 [이메일 보내기](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </br>
> AWS를 사용하는 스타트업 및 중소기업의 경우 [AWS Marketplace에서 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)을 확인하고 한 번의 클릭으로 자체 AWS VPC에 배포하십시오. 맞춤형 로고와 브랜딩이 포함된 앱을 생성할 수 있는 옵션이 포함된 저렴한 AMI 제품입니다.
@@ -200,21 +192,10 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
#### Terraform을 사용한 배포
[terraform](https://www.terraform.io/)을 사용하여 단 한 번의 클릭으로 Dify를 클라우드 플랫폼에 배포하십시오
##### Azure Global
[terraform](https://www.terraform.io/)을 사용하여 Azure에 Dify를 원클릭으로 배포하세요.
- [nikawang의 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [sotazum의 Google Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
#### AWS CDK를 사용한 배포
[CDK](https://aws.amazon.com/cdk/)를 사용하여 AWS에 Dify 배포
##### AWS
- [KevinZhao의 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## 기여
코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
@@ -233,9 +214,26 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
* [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
* [이메일](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Dify.AI 사용에 대한 질문하기에 적합합니다.
* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
또는 팀원과 직접 미팅을 예약하세요:
<table>
<tr>
<th>연락처</th>
<th>목적</th>
</tr>
<tr>
<td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>비즈니스 문의 및 제품 피드백</td>
</tr>
<tr>
<td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
<td>기여, 이슈 및 기능 요청</td>
</tr>
</table>
## Star 히스토리

View File

@@ -1,254 +0,0 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introduzindo o Dify Workflow com Upload de Arquivo: Recrie o Podcast Google NotebookLM</a>
</p>
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hospedagem</a> ·
<a href="https://docs.dify.ai">Documentação</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariais</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="Follow Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README em Inglês" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README em Espanhol" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README em Francês" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README em Coreano" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README em Árabe" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="README em Turco" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README em Vietnamita" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README_PT.md"><img alt="README em Português - BR" src="https://img.shields.io/badge/Portugu%C3%AAs-BR?style=flat&label=BR&color=d9d9d9"></a>
</p>
Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto. Sua interface intuitiva combina workflow de IA, pipeline RAG, capacidades de agente, gerenciamento de modelos, recursos de observabilidade e muito mais, permitindo que você vá rapidamente do protótipo à produção. Aqui está uma lista das principais funcionalidades:
</br> </br>
**1. Workflow**:
Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Suporte abrangente a modelos**:
Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. IDE de Prompt**:
Interface intuitiva para criação de prompts, comparação de desempenho de modelos e adição de recursos como conversão de texto para fala em um aplicativo baseado em chat.
**4. Pipeline RAG**:
Extensas capacidades de RAG que cobrem desde a ingestão de documentos até a recuperação, com suporte nativo para extração de texto de PDFs, PPTs e outros formatos de documentos comuns.
**5. Capacidades de agente**:
Você pode definir agentes com base em LLM Function Calling ou ReAct e adicionar ferramentas pré-construídas ou personalizadas para o agente. O Dify oferece mais de 50 ferramentas integradas para agentes de IA, como Google Search, DALL·E, Stable Diffusion e WolframAlpha.
**6. LLMOps**:
Monitore e analise os registros e o desempenho do aplicativo ao longo do tempo. É possível melhorar continuamente prompts, conjuntos de dados e modelos com base nos dados de produção e anotações.
**7. Backend como Serviço**:
Todas os recursos do Dify vêm com APIs correspondentes, permitindo que você integre o Dify sem esforço na lógica de negócios da sua empresa.
## Comparação de recursos
<table style="width: 100%;">
<tr>
<th align="center">Recurso</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Abordagem de Programação</td>
<td align="center">Orientada a API + Aplicativo</td>
<td align="center">Código Python</td>
<td align="center">Orientada a Aplicativo</td>
<td align="center">Orientada a API</td>
</tr>
<tr>
<td align="center">LLMs Suportados</td>
<td align="center">Variedade Rica</td>
<td align="center">Variedade Rica</td>
<td align="center">Variedade Rica</td>
<td align="center">Apenas OpenAI</td>
</tr>
<tr>
<td align="center">RAG Engine</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agente</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Workflow</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Observabilidade</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Recursos Empresariais (SSO/Controle de Acesso)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Implantação Local</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Usando o Dify
- **Nuvem </br>**
Oferecemos o serviço [Dify Cloud](https://dify.ai) para qualquer pessoa experimentar sem nenhuma configuração. Ele fornece todas as funcionalidades da versão auto-hospedada, incluindo 200 chamadas GPT-4 gratuitas no plano sandbox.
- **Auto-hospedagem do Dify Community Edition</br>**
Configure rapidamente o Dify no seu ambiente com este [guia inicial](#quick-start).
Use nossa [documentação](https://docs.dify.ai) para referências adicionais e instruções mais detalhadas.
- **Dify para empresas/organizações</br>**
Oferecemos recursos adicionais voltados para empresas. [Envie suas perguntas através deste chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) ou [envie-nos um e-mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir necessidades empresariais. </br>
> Para startups e pequenas empresas que utilizam AWS, confira o [Dify Premium no AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e implemente no seu próprio AWS VPC com um clique. É uma oferta AMI acessível com a opção de criar aplicativos com logotipo e marca personalizados.
## Mantendo-se atualizado
Dê uma estrela no Dify no GitHub e seja notificado imediatamente sobre novos lançamentos.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Início rápido
> Antes de instalar o Dify, certifique-se de que sua máquina atenda aos seguintes requisitos mínimos de sistema:
>
>- CPU >= 2 Núcleos
>- RAM >= 4 GiB
</br>
A maneira mais fácil de iniciar o servidor Dify é executar nosso arquivo [docker-compose.yml](docker/docker-compose.yaml). Antes de rodar o comando de instalação, certifique-se de que o [Docker](https://docs.docker.com/get-docker/) e o [Docker Compose](https://docs.docker.com/compose/install/) estão instalados na sua máquina:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
Após a execução, você pode acessar o painel do Dify no navegador em [http://localhost/install](http://localhost/install) e iniciar o processo de inicialização.
> Se você deseja contribuir com o Dify ou fazer desenvolvimento adicional, consulte nosso [guia para implantar a partir do código fonte](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code).
## Próximos passos
Se precisar personalizar a configuração, consulte os comentários no nosso arquivo [.env.example](docker/.env.example) e atualize os valores correspondentes no seu arquivo `.env`. Além disso, talvez seja necessário fazer ajustes no próprio arquivo `docker-compose.yaml`, como alterar versões de imagem, mapeamentos de portas ou montagens de volumes, com base no seu ambiente de implantação específico e nas suas necessidades. Após fazer quaisquer alterações, execute novamente `docker-compose up -d`. Você pode encontrar a lista completa de variáveis de ambiente disponíveis [aqui](https://docs.dify.ai/getting-started/install-self-hosted/environments).
Se deseja configurar uma instalação de alta disponibilidade, há [Helm Charts](https://helm.sh/) e arquivos YAML contribuídos pela comunidade que permitem a implantação do Dify no Kubernetes.
- [Helm Chart de @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart de @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Arquivo YAML de @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Usando o Terraform para Implantação
Implante o Dify na Plataforma Cloud com um único clique usando [terraform](https://www.terraform.io/)
##### Azure Global
- [Azure Terraform por @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform por @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Usando AWS CDK para Implantação
Implante o Dify na AWS usando [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Contribuindo
Para aqueles que desejam contribuir com código, veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
Ao mesmo tempo, considere apoiar o Dify compartilhando-o nas redes sociais e em eventos e conferências.
> Estamos buscando contribuidores para ajudar na tradução do Dify para idiomas além de Mandarim e Inglês. Se você tiver interesse em ajudar, consulte o [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) para mais informações e deixe-nos um comentário no canal `global-users` em nosso [Servidor da Comunidade no Discord](https://discord.gg/8Tpq4AcN9c).
**Contribuidores**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Comunidade e contato
* [Discussões no GitHub](https://github.com/langgenius/dify/discussions). Melhor para: compartilhar feedback e fazer perguntas.
* [Problemas no GitHub](https://github.com/langgenius/dify/issues). Melhor para: relatar bugs encontrados no Dify.AI e propor novos recursos. Veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
* [X(Twitter)](https://twitter.com/dify_ai). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
## Histórico de estrelas
[![Gráfico de Histórico de Estrelas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Divulgação de segurança
Para proteger sua privacidade, evite postar problemas de segurança no GitHub. Em vez disso, envie suas perguntas para security@dify.ai e forneceremos uma resposta mais detalhada.
## Licença
Este repositório está disponível sob a [Licença de Código Aberto Dify](LICENSE), que é essencialmente Apache 2.0 com algumas restrições adicionais.

View File

@@ -1,257 +0,0 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
</p>
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
<a href="https://docs.dify.ai">Dokumentacija</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
</p>
Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje.
## Hitri začetek
> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
>
>- CPU >= 2 Core
>- RAM >= 4 GiB
</br>
Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
```bash
cd dify
cd docker
cp .env.example .env
docker compose up -d
```
Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
#### Iskanje pomoči
Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Ključne značilnosti
**1. Potek dela**:
Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Celovita podpora za modele**:
Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. Prompt IDE**:
intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu.
**4. RAG Pipeline**:
E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
**5. Agent capabilities**:
definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
**6. LLMOps**:
Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
**7. Backend-as-a-Service**:
AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
## Primerjava Funkcij
<table style="width: 100%;">
<tr>
<th align="center">Funkcija</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Programski pristop</td>
<td align="center">API + usmerjeno v aplikacije</td>
<td align="center">Python koda</td>
<td align="center">Usmerjeno v aplikacije</td>
<td align="center">Usmerjeno v API</td>
</tr>
<tr>
<td align="center">Podprti LLM-ji</td>
<td align="center">Bogata izbira</td>
<td align="center">Bogata izbira</td>
<td align="center">Bogata izbira</td>
<td align="center">Samo OpenAI</td>
</tr>
<tr>
<td align="center">RAG pogon</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Potek dela</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Spremljanje</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Funkcija za podjetja (SSO/nadzor dostopa)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Lokalna namestitev</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Uporaba Dify
- **Cloud </br>**
Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
- **Self-hosting Dify Community Edition</br>**
Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
- **Dify za podjetja/organizacije</br>**
Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
> Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
## Staying ahead
Star Dify on GitHub and be instantly notified of new releases.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Napredne nastavitve
Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj .
Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes.
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Uporaba Terraform za uvajanje
namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
##### Azure Global
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Uporaba AWS CDK za uvajanje
Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Prispevam
Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah.
> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord .
## Skupnost in stik
* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
**Contributors**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Star history
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Varnostno razkritje
Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor.
## Licenca
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.

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@@ -1,248 +0,0 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Bulut</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Kendi Sunucunuzda Barındırma</a> ·
<a href="https://docs.dify.ai">Dokümantasyon</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yalnızca İngilizce: Kurumsal Sorgulama</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Statik Rozet" src="https://img.shields.io/badge/Ürün-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Statik Rozet" src="https://img.shields.io/badge/ücretsiz-fiyatlandırma?logo=free&color=%20%23155EEF&label=fiyatlandirma&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="Discord'da sohbet et"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="Follow Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="X(Twitter)'da takip et"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="LinkedIn'da takip et"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Çekmeleri" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Geçen ay yapılan commitler" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Kapatılan sorunlar" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=kapatilan%20sorunlar&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Tartışma gönderileri" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel arayüzü, AI iş akışı, RAG pipeline'ı, ajan yetenekleri, model yönetimi, gözlemlenebilirlik özellikleri ve daha fazlasını birleştirerek, prototipten üretime hızlıca geçmenizi sağlar. İşte temel özelliklerin bir listesi:
</br> </br>
**1. Workflow**:
Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Kapsamlı model desteği**:
Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/getting-started/readme/model-providers) ulaşabilirsiniz.
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. Prompt IDE**:
Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
**4. RAG Pipeline**:
Belge alımından bilgi çekmeye kadar geniş kapsamlı RAG yetenekleri. PDF'ler, PPT'ler ve diğer yaygın belge formatlarından metin çıkarma için hazır destek sunar.
**5. Ajan yetenekleri**:
LLM Fonksiyon Çağırma veya ReAct'a dayalı ajanlar tanımlayabilir ve bu ajanlara önceden hazırlanmış veya özel araçlar ekleyebilirsiniz. Dify, AI ajanları için Google Arama, DALL·E, Stable Diffusion ve WolframAlpha gibi 50'den fazla yerleşik araç sağlar.
**6. LLMOps**:
Uygulama loglarını ve performans metriklerini zaman içinde izleme ve analiz etme imkanı. Üretim ortamından elde edilen verilere ve kullanıcı geri bildirimlerine dayanarak, prompt'ları, veri setlerini ve modelleri sürekli olarak optimize edebilirsiniz. Bu sayede, AI uygulamanızın performansını ve doğruluğunu sürekli olarak artırabilirsiniz.
**7. Hizmet Olarak Backend**:
Dify'ın tüm özellikleri ilgili API'lerle birlikte gelir, böylece Dify'ı kendi iş mantığınıza kolayca entegre edebilirsiniz.
## Özellik karşılaştırması
<table style="width: 100%;">
<tr>
<th align="center">Özellik</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Programlama Yaklaşımı</td>
<td align="center">API + Uygulama odaklı</td>
<td align="center">Python Kodu</td>
<td align="center">Uygulama odaklı</td>
<td align="center">API odaklı</td>
</tr>
<tr>
<td align="center">Desteklenen LLM'ler</td>
<td align="center">Zengin Çeşitlilik</td>
<td align="center">Zengin Çeşitlilik</td>
<td align="center">Zengin Çeşitlilik</td>
<td align="center">Yalnızca OpenAI</td>
</tr>
<tr>
<td align="center">RAG Motoru</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Ajan</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">İş Akışı</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Gözlemlenebilirlik</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Kurumsal Özellikler (SSO/Erişim kontrolü)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Yerel Dağıtım</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Dify'ı Kullanma
- **Cloud </br>**
Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
- **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın.
Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai) kullanın.
- **Kurumlar / organizasyonlar için Dify</br>**
Ek kurumsal odaklı özellikler sunuyoruz. Kurumsal ihtiyaçları görüşmek için [bize bir e-posta gönderin](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). </br>
> AWS kullanan startuplar ve küçük işletmeler için, [AWS Marketplace'deki Dify Premium'a](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) göz atın ve tek tıklamayla kendi AWS VPC'nize dağıtın. Bu, özel logo ve marka ile uygulamalar oluşturma seçeneğine sahip uygun fiyatlı bir AMI teklifdir.
## Güncel Kalma
GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
![bizi-yıldızlayın](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Hızlı başlangıç
> Dify'ı kurmadan önce, makinenizin aşağıdaki minimum sistem gereksinimlerini karşıladığından emin olun:
>
>- CPU >= 2 Çekirdek
>- RAM >= 4GB
</br>
Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
Çalıştırdıktan sonra, tarayıcınızda [http://localhost/install](http://localhost/install) adresinden Dify kontrol paneline erişebilir ve başlangıç ayarları sürecini başlatabilirsiniz.
> Eğer Dify'a katkıda bulunmak veya ek geliştirmeler yapmak isterseniz, [kaynak koddan dağıtım kılavuzumuza](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) başvurun.
## Sonraki adımlar
Yapılandırmayı özelleştirmeniz gerekiyorsa, lütfen [.env.example](docker/.env.example) dosyamızdaki yorumlara bakın ve `.env` dosyanızdaki ilgili değerleri güncelleyin. Ayrıca, spesifik dağıtım ortamınıza ve gereksinimlerinize bağlı olarak `docker-compose.yaml` dosyasının kendisinde de, imaj sürümlerini, port eşlemelerini veya hacim bağlantılarını değiştirmek gibi ayarlamalar yapmanız gerekebilir. Herhangi bir değişiklik yaptıktan sonra, lütfen `docker-compose up -d` komutunu tekrar çalıştırın. Kullanılabilir tüm ortam değişkenlerinin tam listesini [burada](https://docs.dify.ai/getting-started/install-self-hosted/environments) bulabilirsiniz.
Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'ın Kubernetes üzerine dağıtılmasına olanak tanıyan topluluk katkılı [Helm Charts](https://helm.sh/) ve YAML dosyaları mevcuttur.
- [@LeoQuote tarafından Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
- [@BorisPolonsky tarafından Helm Chart](https://github.com/BorisPolonsky/dify-helm)
- [@Winson-030 tarafından YAML dosyası](https://github.com/Winson-030/dify-kubernetes)
#### Dağıtım için Terraform Kullanımı
Dify'ı bulut platformuna tek tıklamayla dağıtın [terraform](https://www.terraform.io/) kullanarak
##### Azure Global
- [Azure Terraform tarafından @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform tarafından @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### AWS CDK ile Dağıtım
[CDK](https://aws.amazon.com/cdk/) kullanarak Dify'ı AWS'ye dağıtın
##### AWS
- [AWS CDK tarafından @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Katkıda Bulunma
Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakabilirsiniz.
Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda paylaşarak desteklemeyi düşünün.
> Dify'ı Mandarin veya İngilizce dışındaki dillere çevirmemize yardımcı olacak katkıda bulunanlara ihtiyacımız var. Yardımcı olmakla ilgileniyorsanız, lütfen daha fazla bilgi için [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) dosyasına bakın ve [Discord Topluluk Sunucumuzdaki](https://discord.gg/8Tpq4AcN9c) `global-users` kanalında bize bir yorum bırakın.
**Katkıda Bulunanlar**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Topluluk & iletişim
* [Github Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
* [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
* [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
* [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
## Star history
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Güvenlik açıklaması
Gizliliğinizi korumak için, lütfen güvenlik sorunlarını GitHub'da paylaşmaktan kaçının. Bunun yerine, sorularınızı security@dify.ai adresine gönderin ve size daha detaylı bir cevap vereceğiz.
## Lisans
Bu depo, temel olarak Apache 2.0 lisansı ve birkaç ek kısıtlama içeren [Dify Açık Kaynak Lisansı](LICENSE) altında kullanıma sunulmuştur.

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@@ -1,251 +0,0 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Tự triển khai</a> ·
<a href="https://docs.dify.ai">Tài liệu</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yêu cầu doanh nghiệp</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat trên Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="Follow Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="theo dõi trên X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="theo dõi trên LinkedIn"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits tháng trước" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Vấn đề đã đóng" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
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<img alt="Bài thảo luận" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
</br> </br>
**1. Quy trình làm việc**:
Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Hỗ trợ mô hình toàn diện**:
Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. IDE Prompt**:
Giao diện trực quan để tạo prompt, so sánh hiệu suất mô hình và thêm các tính năng bổ sung như chuyển văn bản thành giọng nói cho một ứng dụng dựa trên trò chuyện.
**4. Mô hình RAG**:
Khả năng RAG mở rộng bao gồm mọi thứ từ nhập tài liệu đến truy xuất, với hỗ trợ sẵn có cho việc trích xuất văn bản từ PDF, PPT và các định dạng tài liệu phổ biến khác.
**5. Khả năng tác nhân**:
Bạn có thể định nghĩa các tác nhân dựa trên LLM Function Calling hoặc ReAct, và thêm các công cụ được xây dựng sẵn hoặc tùy chỉnh cho tác nhân. Dify cung cấp hơn 50 công cụ tích hợp sẵn cho các tác nhân AI, như Google Search, DALL·E, Stable Diffusion và WolframAlpha.
**6. LLMOps**:
Giám sát và phân tích nhật ký và hiệu suất ứng dụng theo thời gian. Bạn có thể liên tục cải thiện prompt, bộ dữ liệu và mô hình dựa trên dữ liệu sản xuất và chú thích.
**7. Backend-as-a-Service**:
Tất cả các dịch vụ của Dify đều đi kèm với các API tương ứng, vì vậy bạn có thể dễ dàng tích hợp Dify vào logic kinh doanh của riêng mình.
## So sánh tính năng
<table style="width: 100%;">
<tr>
<th align="center">Tính năng</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Phương pháp lập trình</td>
<td align="center">Hướng API + Ứng dụng</td>
<td align="center">Mã Python</td>
<td align="center">Hướng ứng dụng</td>
<td align="center">Hướng API</td>
</tr>
<tr>
<td align="center">LLMs được hỗ trợ</td>
<td align="center">Đa dạng phong phú</td>
<td align="center">Đa dạng phong phú</td>
<td align="center">Đa dạng phong phú</td>
<td align="center">Chỉ OpenAI</td>
</tr>
<tr>
<td align="center">RAG Engine</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Quy trình làm việc</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Khả năng quan sát</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Tính năng doanh nghiệp (SSO/Kiểm soát truy cập)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Triển khai cục bộ</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Sử dụng Dify
- **Cloud </br>**
Chúng tôi lưu trữ dịch vụ [Dify Cloud](https://dify.ai) cho bất kỳ ai muốn thử mà không cần cài đặt. Nó cung cấp tất cả các khả năng của phiên bản tự triển khai và bao gồm 200 lượt gọi GPT-4 miễn phí trong gói sandbox.
- **Tự triển khai Dify Community Edition</br>**
Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.
- **Dify cho doanh nghiệp / tổ chức</br>**
Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. </br>
> Đối với các công ty khởi nghiệp và doanh nghiệp nhỏ sử dụng AWS, hãy xem [Dify Premium trên AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) và triển khai nó vào AWS VPC của riêng bạn chỉ với một cú nhấp chuột. Đây là một AMI giá cả phải chăng với tùy chọn tạo ứng dụng với logo và thương hiệu tùy chỉnh.
## Luôn cập nhật
Yêu thích Dify trên GitHub và được thông báo ngay lập tức về các bản phát hành mới.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Bắt đầu nhanh
> Trước khi cài đặt Dify, hãy đảm bảo máy của bạn đáp ứng các yêu cầu hệ thống tối thiểu sau:
>
>- CPU >= 2 Core
>- RAM >= 4GB
</br>
Cách dễ nhất để khởi động máy chủ Dify là chạy tệp [docker-compose.yml](docker/docker-compose.yaml) của chúng tôi. Trước khi chạy lệnh cài đặt, hãy đảm bảo rằng [Docker](https://docs.docker.com/get-docker/) và [Docker Compose](https://docs.docker.com/compose/install/) đã được cài đặt trên máy của bạn:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
Sau khi chạy, bạn có thể truy cập bảng điều khiển Dify trong trình duyệt của bạn tại [http://localhost/install](http://localhost/install) và bắt đầu quá trình khởi tạo.
> Nếu bạn muốn đóng góp cho Dify hoặc phát triển thêm, hãy tham khảo [hướng dẫn triển khai từ mã nguồn](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) của chúng tôi
## Các bước tiếp theo
Nếu bạn cần tùy chỉnh cấu hình, vui lòng tham khảo các nhận xét trong tệp [.env.example](docker/.env.example) của chúng tôi và cập nhật các giá trị tương ứng trong tệp `.env` của bạn. Ngoài ra, bạn có thể cần điều chỉnh tệp `docker-compose.yaml`, chẳng hạn như thay đổi phiên bản hình ảnh, ánh xạ cổng hoặc gắn kết khối lượng, dựa trên môi trường triển khai cụ thể và yêu cầu của bạn. Sau khi thực hiện bất kỳ thay đổi nào, vui lòng chạy lại `docker-compose up -d`. Bạn có thể tìm thấy danh sách đầy đủ các biến môi trường có sẵn [tại đây](https://docs.dify.ai/getting-started/install-self-hosted/environments).
Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có các [Helm Charts](https://helm.sh/) và tệp YAML do cộng đồng đóng góp cho phép Dify được triển khai trên Kubernetes.
- [Helm Chart bởi @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart bởi @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Tệp YAML bởi @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Sử dụng Terraform để Triển khai
Triển khai Dify lên nền tảng đám mây với một cú nhấp chuột bằng cách sử dụng [terraform](https://www.terraform.io/)
##### Azure Global
- [Azure Terraform bởi @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform bởi @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Sử dụng AWS CDK để Triển khai
Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK bởi @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Đóng góp
Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
Đồng thời, vui lòng xem xét hỗ trợ Dify bằng cách chia sẻ nó trên mạng xã hội và tại các sự kiện và hội nghị.
> Chúng tôi đang tìm kiếm người đóng góp để giúp dịch Dify sang các ngôn ngữ khác ngoài tiếng Trung hoặc tiếng Anh. Nếu bạn quan tâm đến việc giúp đỡ, vui lòng xem [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) để biết thêm thông tin và để lại bình luận cho chúng tôi trong kênh `global-users` của [Máy chủ Cộng đồng Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi.
**Người đóng góp**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Cộng đồng & liên hệ
* [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
* [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
* [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
* [X(Twitter)](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
## Lịch sử Yêu thích
[![Biểu đồ Lịch sử Yêu thích](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Tiết lộ bảo mật
Để bảo vệ quyền riêng tư của bạn, vui lòng tránh đăng các vấn đề bảo mật trên GitHub. Thay vào đó, hãy gửi câu hỏi của bạn đến security@dify.ai và chúng tôi sẽ cung cấp cho bạn câu trả lời chi tiết hơn.
## Giấy phép
Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.

View File

@@ -1,10 +1,7 @@
.env
*.env.*
storage/generate_files/*
storage/privkeys/*
storage/tools/*
storage/upload_files/*
# Logs
logs
@@ -12,8 +9,6 @@ logs
# jetbrains
.idea
.mypy_cache
.ruff_cache
# venv
.venv

View File

@@ -20,12 +20,6 @@ FILES_URL=http://127.0.0.1:5001
# The time in seconds after the signature is rejected
FILES_ACCESS_TIMEOUT=300
# Access token expiration time in minutes
ACCESS_TOKEN_EXPIRE_MINUTES=60
# Refresh token expiration time in days
REFRESH_TOKEN_EXPIRE_DAYS=30
# celery configuration
CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
@@ -34,22 +28,8 @@ REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_USERNAME=
REDIS_PASSWORD=difyai123456
REDIS_USE_SSL=false
REDIS_DB=0
# redis Sentinel configuration.
REDIS_USE_SENTINEL=false
REDIS_SENTINELS=
REDIS_SENTINEL_SERVICE_NAME=
REDIS_SENTINEL_USERNAME=
REDIS_SENTINEL_PASSWORD=
REDIS_SENTINEL_SOCKET_TIMEOUT=0.1
# redis Cluster configuration.
REDIS_USE_CLUSTERS=false
REDIS_CLUSTERS=
REDIS_CLUSTERS_PASSWORD=
# PostgreSQL database configuration
DB_USERNAME=postgres
DB_PASSWORD=difyai123456
@@ -59,27 +39,20 @@ DB_DATABASE=dify
# Storage configuration
# use for store upload files, private keys...
# storage type: opendal, s3, aliyun-oss, azure-blob, baidu-obs, google-storage, huawei-obs, oci-storage, tencent-cos, volcengine-tos, supabase
STORAGE_TYPE=opendal
# Apache OpenDAL storage configuration, refer to https://github.com/apache/opendal
OPENDAL_SCHEME=fs
OPENDAL_FS_ROOT=storage
# S3 Storage configuration
# storage type: local, s3, azure-blob, google-storage
STORAGE_TYPE=local
STORAGE_LOCAL_PATH=storage
S3_USE_AWS_MANAGED_IAM=false
S3_ENDPOINT=https://your-bucket-name.storage.s3.cloudflare.com
S3_ENDPOINT=https://your-bucket-name.storage.s3.clooudflare.com
S3_BUCKET_NAME=your-bucket-name
S3_ACCESS_KEY=your-access-key
S3_SECRET_KEY=your-secret-key
S3_REGION=your-region
# Azure Blob Storage configuration
AZURE_BLOB_ACCOUNT_NAME=your-account-name
AZURE_BLOB_ACCOUNT_KEY=your-account-key
AZURE_BLOB_CONTAINER_NAME=your-container-name
AZURE_BLOB_CONTAINER_NAME=yout-container-name
AZURE_BLOB_ACCOUNT_URL=https://<your_account_name>.blob.core.windows.net
# Aliyun oss Storage configuration
ALIYUN_OSS_BUCKET_NAME=your-bucket-name
ALIYUN_OSS_ACCESS_KEY=your-access-key
@@ -87,11 +60,9 @@ ALIYUN_OSS_SECRET_KEY=your-secret-key
ALIYUN_OSS_ENDPOINT=your-endpoint
ALIYUN_OSS_AUTH_VERSION=v1
ALIYUN_OSS_REGION=your-region
# Don't start with '/'. OSS doesn't support leading slash in object names.
ALIYUN_OSS_PATH=your-path
# Google Storage configuration
GOOGLE_STORAGE_BUCKET_NAME=your-bucket-name
GOOGLE_STORAGE_BUCKET_NAME=yout-bucket-name
GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64=your-google-service-account-json-base64-string
# Tencent COS Storage configuration
@@ -101,18 +72,6 @@ TENCENT_COS_SECRET_ID=your-secret-id
TENCENT_COS_REGION=your-region
TENCENT_COS_SCHEME=your-scheme
# Huawei OBS Storage Configuration
HUAWEI_OBS_BUCKET_NAME=your-bucket-name
HUAWEI_OBS_SECRET_KEY=your-secret-key
HUAWEI_OBS_ACCESS_KEY=your-access-key
HUAWEI_OBS_SERVER=your-server-url
# Baidu OBS Storage Configuration
BAIDU_OBS_BUCKET_NAME=your-bucket-name
BAIDU_OBS_SECRET_KEY=your-secret-key
BAIDU_OBS_ACCESS_KEY=your-access-key
BAIDU_OBS_ENDPOINT=your-server-url
# OCI Storage configuration
OCI_ENDPOINT=your-endpoint
OCI_BUCKET_NAME=your-bucket-name
@@ -120,24 +79,11 @@ OCI_ACCESS_KEY=your-access-key
OCI_SECRET_KEY=your-secret-key
OCI_REGION=your-region
# Volcengine tos Storage configuration
VOLCENGINE_TOS_ENDPOINT=your-endpoint
VOLCENGINE_TOS_BUCKET_NAME=your-bucket-name
VOLCENGINE_TOS_ACCESS_KEY=your-access-key
VOLCENGINE_TOS_SECRET_KEY=your-secret-key
VOLCENGINE_TOS_REGION=your-region
# Supabase Storage Configuration
SUPABASE_BUCKET_NAME=your-bucket-name
SUPABASE_API_KEY=your-access-key
SUPABASE_URL=your-server-url
# CORS configuration
WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
# Vector database configuration
# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase
# Vector database configuration, support: weaviate, qdrant, milvus, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector
VECTOR_STORE=weaviate
# Weaviate configuration
@@ -153,26 +99,12 @@ QDRANT_CLIENT_TIMEOUT=20
QDRANT_GRPC_ENABLED=false
QDRANT_GRPC_PORT=6334
#Couchbase configuration
COUCHBASE_CONNECTION_STRING=127.0.0.1
COUCHBASE_USER=Administrator
COUCHBASE_PASSWORD=password
COUCHBASE_BUCKET_NAME=Embeddings
COUCHBASE_SCOPE_NAME=_default
# Milvus configuration
MILVUS_URI=http://127.0.0.1:19530
MILVUS_TOKEN=
MILVUS_HOST=127.0.0.1
MILVUS_PORT=19530
MILVUS_USER=root
MILVUS_PASSWORD=Milvus
# MyScale configuration
MYSCALE_HOST=127.0.0.1
MYSCALE_PORT=8123
MYSCALE_USER=default
MYSCALE_PASSWORD=
MYSCALE_DATABASE=default
MYSCALE_FTS_PARAMS=
MILVUS_SECURE=false
# Relyt configuration
RELYT_HOST=127.0.0.1
@@ -190,12 +122,6 @@ TENCENT_VECTOR_DB_DATABASE=dify
TENCENT_VECTOR_DB_SHARD=1
TENCENT_VECTOR_DB_REPLICAS=2
# ElasticSearch configuration
ELASTICSEARCH_HOST=127.0.0.1
ELASTICSEARCH_PORT=9200
ELASTICSEARCH_USERNAME=elastic
ELASTICSEARCH_PASSWORD=elastic
# PGVECTO_RS configuration
PGVECTO_RS_HOST=localhost
PGVECTO_RS_PORT=5431
@@ -209,8 +135,6 @@ PGVECTOR_PORT=5433
PGVECTOR_USER=postgres
PGVECTOR_PASSWORD=postgres
PGVECTOR_DATABASE=postgres
PGVECTOR_MIN_CONNECTION=1
PGVECTOR_MAX_CONNECTION=5
# Tidb Vector configuration
TIDB_VECTOR_HOST=xxx.eu-central-1.xxx.aws.tidbcloud.com
@@ -219,20 +143,6 @@ TIDB_VECTOR_USER=xxx.root
TIDB_VECTOR_PASSWORD=xxxxxx
TIDB_VECTOR_DATABASE=dify
# Tidb on qdrant configuration
TIDB_ON_QDRANT_URL=http://127.0.0.1
TIDB_ON_QDRANT_API_KEY=dify
TIDB_ON_QDRANT_CLIENT_TIMEOUT=20
TIDB_ON_QDRANT_GRPC_ENABLED=false
TIDB_ON_QDRANT_GRPC_PORT=6334
TIDB_PUBLIC_KEY=dify
TIDB_PRIVATE_KEY=dify
TIDB_API_URL=http://127.0.0.1
TIDB_IAM_API_URL=http://127.0.0.1
TIDB_REGION=regions/aws-us-east-1
TIDB_PROJECT_ID=dify
TIDB_SPEND_LIMIT=100
# Chroma configuration
CHROMA_HOST=127.0.0.1
CHROMA_PORT=8000
@@ -241,20 +151,6 @@ CHROMA_DATABASE=default_database
CHROMA_AUTH_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider
CHROMA_AUTH_CREDENTIALS=difyai123456
# AnalyticDB configuration
ANALYTICDB_KEY_ID=your-ak
ANALYTICDB_KEY_SECRET=your-sk
ANALYTICDB_REGION_ID=cn-hangzhou
ANALYTICDB_INSTANCE_ID=gp-ab123456
ANALYTICDB_ACCOUNT=testaccount
ANALYTICDB_PASSWORD=testpassword
ANALYTICDB_NAMESPACE=dify
ANALYTICDB_NAMESPACE_PASSWORD=difypassword
ANALYTICDB_HOST=gp-test.aliyuncs.com
ANALYTICDB_PORT=5432
ANALYTICDB_MIN_CONNECTION=1
ANALYTICDB_MAX_CONNECTION=5
# OpenSearch configuration
OPENSEARCH_HOST=127.0.0.1
OPENSEARCH_PORT=9200
@@ -262,54 +158,13 @@ OPENSEARCH_USER=admin
OPENSEARCH_PASSWORD=admin
OPENSEARCH_SECURE=true
# Baidu configuration
BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287
BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS=30000
BAIDU_VECTOR_DB_ACCOUNT=root
BAIDU_VECTOR_DB_API_KEY=dify
BAIDU_VECTOR_DB_DATABASE=dify
BAIDU_VECTOR_DB_SHARD=1
BAIDU_VECTOR_DB_REPLICAS=3
# Upstash configuration
UPSTASH_VECTOR_URL=your-server-url
UPSTASH_VECTOR_TOKEN=your-access-token
# ViKingDB configuration
VIKINGDB_ACCESS_KEY=your-ak
VIKINGDB_SECRET_KEY=your-sk
VIKINGDB_REGION=cn-shanghai
VIKINGDB_HOST=api-vikingdb.xxx.volces.com
VIKINGDB_SCHEMA=http
VIKINGDB_CONNECTION_TIMEOUT=30
VIKINGDB_SOCKET_TIMEOUT=30
# Lindorm configuration
LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
LINDORM_USERNAME=admin
LINDORM_PASSWORD=admin
USING_UGC_INDEX=False
# OceanBase Vector configuration
OCEANBASE_VECTOR_HOST=127.0.0.1
OCEANBASE_VECTOR_PORT=2881
OCEANBASE_VECTOR_USER=root@test
OCEANBASE_VECTOR_PASSWORD=difyai123456
OCEANBASE_VECTOR_DATABASE=test
OCEANBASE_MEMORY_LIMIT=6G
# Upload configuration
UPLOAD_FILE_SIZE_LIMIT=15
UPLOAD_FILE_BATCH_LIMIT=5
UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
UPLOAD_VIDEO_FILE_SIZE_LIMIT=100
UPLOAD_AUDIO_FILE_SIZE_LIMIT=50
# Model configuration
MULTIMODAL_SEND_FORMAT=base64
PROMPT_GENERATION_MAX_TOKENS=512
CODE_GENERATION_MAX_TOKENS=1024
# Model Configuration
MULTIMODAL_SEND_IMAGE_FORMAT=base64
# Mail configuration, support: resend, smtp
MAIL_TYPE=
@@ -340,23 +195,13 @@ NOTION_INTERNAL_SECRET=you-internal-secret
ETL_TYPE=dify
UNSTRUCTURED_API_URL=
UNSTRUCTURED_API_KEY=
SCARF_NO_ANALYTICS=true
#ssrf
SSRF_PROXY_HTTP_URL=
SSRF_PROXY_HTTPS_URL=
SSRF_DEFAULT_MAX_RETRIES=3
SSRF_DEFAULT_TIME_OUT=5
SSRF_DEFAULT_CONNECT_TIME_OUT=5
SSRF_DEFAULT_READ_TIME_OUT=5
SSRF_DEFAULT_WRITE_TIME_OUT=5
BATCH_UPLOAD_LIMIT=10
KEYWORD_DATA_SOURCE_TYPE=database
# Workflow file upload limit
WORKFLOW_FILE_UPLOAD_LIMIT=10
# CODE EXECUTION CONFIGURATION
CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194
CODE_EXECUTION_API_KEY=dify-sandbox
@@ -376,73 +221,20 @@ API_TOOL_DEFAULT_READ_TIMEOUT=60
HTTP_REQUEST_MAX_CONNECT_TIMEOUT=300
HTTP_REQUEST_MAX_READ_TIMEOUT=600
HTTP_REQUEST_MAX_WRITE_TIMEOUT=600
HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760
HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576
# Respect X-* headers to redirect clients
RESPECT_XFORWARD_HEADERS_ENABLED=false
HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760 # 10MB
HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 # 1MB
# Log file path
LOG_FILE=
# Log file max size, the unit is MB
LOG_FILE_MAX_SIZE=20
# Log file max backup count
LOG_FILE_BACKUP_COUNT=5
# Log dateformat
LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S
# Log Timezone
LOG_TZ=UTC
# Log format
LOG_FORMAT=%(asctime)s,%(msecs)d %(levelname)-2s [%(filename)s:%(lineno)d] %(req_id)s %(message)s
# Indexing configuration
INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000
INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
# Workflow runtime configuration
WORKFLOW_MAX_EXECUTION_STEPS=500
WORKFLOW_MAX_EXECUTION_TIME=1200
WORKFLOW_CALL_MAX_DEPTH=5
WORKFLOW_PARALLEL_DEPTH_LIMIT=3
MAX_VARIABLE_SIZE=204800
# App configuration
APP_MAX_EXECUTION_TIME=1200
APP_MAX_ACTIVE_REQUESTS=0
# Celery beat configuration
CELERY_BEAT_SCHEDULER_TIME=1
# Position configuration
POSITION_TOOL_PINS=
POSITION_TOOL_INCLUDES=
POSITION_TOOL_EXCLUDES=
POSITION_PROVIDER_PINS=
POSITION_PROVIDER_INCLUDES=
POSITION_PROVIDER_EXCLUDES=
# Plugin configuration
PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
PLUGIN_DAEMON_URL=http://127.0.0.1:5002
PLUGIN_REMOTE_INSTALL_PORT=5003
PLUGIN_REMOTE_INSTALL_HOST=localhost
PLUGIN_MAX_PACKAGE_SIZE=15728640
INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
# Marketplace configuration
MARKETPLACE_ENABLED=true
MARKETPLACE_API_URL=https://marketplace.dify.ai
# Endpoint configuration
ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
# Reset password token expiry minutes
RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
CREATE_TIDB_SERVICE_JOB_ENABLED=false
# Maximum number of submitted thread count in a ThreadPool for parallel node execution
MAX_SUBMIT_COUNT=100
# Lockout duration in seconds
LOGIN_LOCKOUT_DURATION=86400

View File

@@ -1,97 +0,0 @@
exclude = [
"migrations/*",
]
line-length = 120
[format]
quote-style = "double"
[lint]
preview = true
select = [
"B", # flake8-bugbear rules
"C4", # flake8-comprehensions
"E", # pycodestyle E rules
"F", # pyflakes rules
"FURB", # refurb rules
"I", # isort rules
"N", # pep8-naming
"PT", # flake8-pytest-style rules
"PLC0208", # iteration-over-set
"PLC2801", # unnecessary-dunder-call
"PLC0414", # useless-import-alias
"PLE0604", # invalid-all-object
"PLE0605", # invalid-all-format
"PLR0402", # manual-from-import
"PLR1711", # useless-return
"PLR1714", # repeated-equality-comparison
"RUF013", # implicit-optional
"RUF019", # unnecessary-key-check
"RUF100", # unused-noqa
"RUF101", # redirected-noqa
"RUF200", # invalid-pyproject-toml
"RUF022", # unsorted-dunder-all
"S506", # unsafe-yaml-load
"SIM", # flake8-simplify rules
"TRY400", # error-instead-of-exception
"TRY401", # verbose-log-message
"UP", # pyupgrade rules
"W191", # tab-indentation
"W605", # invalid-escape-sequence
]
ignore = [
"E402", # module-import-not-at-top-of-file
"E711", # none-comparison
"E712", # true-false-comparison
"E721", # type-comparison
"E722", # bare-except
"E731", # lambda-assignment
"F821", # undefined-name
"F841", # unused-variable
"FURB113", # repeated-append
"FURB152", # math-constant
"UP007", # non-pep604-annotation
"UP032", # f-string
"UP045", # non-pep604-annotation-optional
"B005", # strip-with-multi-characters
"B006", # mutable-argument-default
"B007", # unused-loop-control-variable
"B026", # star-arg-unpacking-after-keyword-arg
"B903", # class-as-data-structure
"B904", # raise-without-from-inside-except
"B905", # zip-without-explicit-strict
"N806", # non-lowercase-variable-in-function
"N815", # mixed-case-variable-in-class-scope
"PT011", # pytest-raises-too-broad
"SIM102", # collapsible-if
"SIM103", # needless-bool
"SIM105", # suppressible-exception
"SIM107", # return-in-try-except-finally
"SIM108", # if-else-block-instead-of-if-exp
"SIM113", # enumerate-for-loop
"SIM117", # multiple-with-statements
"SIM210", # if-expr-with-true-false
]
[lint.per-file-ignores]
"__init__.py" = [
"F401", # unused-import
"F811", # redefined-while-unused
]
"configs/*" = [
"N802", # invalid-function-name
]
"libs/gmpy2_pkcs10aep_cipher.py" = [
"N803", # invalid-argument-name
]
"tests/*" = [
"F811", # redefined-while-unused
]
[lint.pyflakes]
allowed-unused-imports = [
"_pytest.monkeypatch",
"tests.integration_tests",
"tests.unit_tests",
]

View File

@@ -1,61 +0,0 @@
{
"version": "0.2.0",
"compounds": [
{
"name": "Launch Flask and Celery",
"configurations": ["Python: Flask", "Python: Celery"]
}
],
"configurations": [
{
"name": "Python: Flask",
"consoleName": "Flask",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv/bin/python",
"cwd": "${workspaceFolder}",
"envFile": ".env",
"module": "flask",
"justMyCode": true,
"jinja": true,
"env": {
"FLASK_APP": "app.py",
"GEVENT_SUPPORT": "True"
},
"args": [
"run",
"--port=5001"
]
},
{
"name": "Python: Celery",
"consoleName": "Celery",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv/bin/python",
"cwd": "${workspaceFolder}",
"module": "celery",
"justMyCode": true,
"envFile": ".env",
"console": "integratedTerminal",
"env": {
"FLASK_APP": "app.py",
"FLASK_DEBUG": "1",
"GEVENT_SUPPORT": "True"
},
"args": [
"-A",
"app.celery",
"worker",
"-P",
"gevent",
"-c",
"1",
"--loglevel",
"DEBUG",
"-Q",
"dataset,generation,mail,ops_trace,app_deletion"
]
}
]
}

View File

@@ -1,28 +1,21 @@
# base image
FROM python:3.12-slim-bookworm AS base
FROM python:3.10-slim-bookworm AS base
WORKDIR /app/api
# Install Poetry
ENV POETRY_VERSION=2.0.1
# if you located in China, you can use aliyun mirror to speed up
# RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
RUN pip install --no-cache-dir poetry==${POETRY_VERSION}
ENV POETRY_VERSION=1.8.3
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir --upgrade poetry==${POETRY_VERSION}
# Configure Poetry
ENV POETRY_CACHE_DIR=/tmp/poetry_cache
ENV POETRY_NO_INTERACTION=1
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
ENV POETRY_VIRTUALENVS_CREATE=true
ENV POETRY_REQUESTS_TIMEOUT=15
FROM base AS packages
# if you located in China, you can use aliyun mirror to speed up
# RUN sed -i 's@deb.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources
RUN apt-get update \
&& apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev
@@ -48,21 +41,9 @@ ENV TZ=UTC
WORKDIR /app/api
RUN \
apt-get update \
# Install dependencies
&& apt-get install -y --no-install-recommends \
# basic environment
curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
# For Security
expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
# install a chinese font to support the use of tools like matplotlib
fonts-noto-cjk \
# install a package to improve the accuracy of guessing mime type and file extension
media-types \
# install libmagic to support the use of python-magic guess MIMETYPE
libmagic1 \
&& apt-get autoremove -y \
RUN apt-get update \
&& apt-get install -y --no-install-recommends curl wget vim nodejs ffmpeg libgmp-dev libmpfr-dev libmpc-dev \
&& apt-get autoremove \
&& rm -rf /var/lib/apt/lists/*
# Copy Python environment and packages
@@ -70,13 +51,6 @@ ENV VIRTUAL_ENV=/app/api/.venv
COPY --from=packages ${VIRTUAL_ENV} ${VIRTUAL_ENV}
ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
# Download nltk data
RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')"
ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')"
# Copy source code
COPY . /app/api/
@@ -84,6 +58,7 @@ COPY . /app/api/
COPY docker/entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
ARG COMMIT_SHA
ENV COMMIT_SHA=${COMMIT_SHA}

View File

@@ -11,24 +11,17 @@
```bash
cd ../docker
cp middleware.env.example middleware.env
# change the profile to other vector database if you are not using weaviate
docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d
docker compose -f docker-compose.middleware.yaml -p dify up -d
cd ../api
```
2. Copy `.env.example` to `.env`
```cli
cp .env.example .env
```
3. Generate a `SECRET_KEY` in the `.env` file.
bash for Linux
```bash for Linux
sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
```
bash for Mac
```bash for Mac
secret_key=$(openssl rand -base64 42)
sed -i '' "/^SECRET_KEY=/c\\
@@ -37,21 +30,23 @@
4. Create environment.
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. First, you need to add the poetry shell plugin, if you don't have it already, in order to run in a virtual environment. [Note: Poetry shell is no longer a native command so you need to install the poetry plugin beforehand]
```bash
poetry self add poetry-plugin-shell
```
Then, You can execute `poetry shell` to activate the environment.
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
5. Install dependencies
```bash
poetry env use 3.12
poetry env use 3.10
poetry install
```
In case of contributors missing to update dependencies for `pyproject.toml`, you can perform the following shell instead.
```bash
poetry shell # activate current environment
poetry add $(cat requirements.txt) # install dependencies of production and update pyproject.toml
poetry add $(cat requirements-dev.txt) --group dev # install dependencies of development and update pyproject.toml
```
6. Run migrate
Before the first launch, migrate the database to the latest version.
@@ -68,22 +63,25 @@
8. Start Dify [web](../web) service.
9. Setup your application by visiting `http://localhost:3000`...
10. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
10. If you need to debug local async processing, please start the worker service.
```bash
poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion
```
The started celery app handles the async tasks, e.g. dataset importing and documents indexing.
## Testing
1. Install dependencies for both the backend and the test environment
```bash
poetry install -C api --with dev
poetry install --with dev
```
2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
```bash
poetry run -P api bash dev/pytest/pytest_all_tests.sh
cd ../
poetry run -C api bash dev/pytest/pytest_all_tests.sh
```

View File

@@ -1,41 +1,301 @@
import os
from configs.app_config import DifyConfig
if not os.environ.get("DEBUG") or os.environ.get("DEBUG", "false").lower() != 'true':
from gevent import monkey
monkey.patch_all()
import grpc.experimental.gevent
grpc.experimental.gevent.init_gevent()
import json
import logging
import sys
import threading
import time
import warnings
from logging.handlers import RotatingFileHandler
from flask import Flask, Response, request
from flask_cors import CORS
from werkzeug.exceptions import Unauthorized
from commands import register_commands
# DO NOT REMOVE BELOW
from events import event_handlers
from extensions import (
ext_celery,
ext_code_based_extension,
ext_compress,
ext_database,
ext_hosting_provider,
ext_login,
ext_mail,
ext_migrate,
ext_redis,
ext_sentry,
ext_storage,
)
from extensions.ext_database import db
from extensions.ext_login import login_manager
from libs.passport import PassportService
from models import account, dataset, model, source, task, tool, tools, web
from services.account_service import AccountService
# DO NOT REMOVE ABOVE
def is_db_command():
if len(sys.argv) > 1 and sys.argv[0].endswith("flask") and sys.argv[1] == "db":
return True
return False
warnings.simplefilter("ignore", ResourceWarning)
# fix windows platform
if os.name == "nt":
os.system('tzutil /s "UTC"')
else:
os.environ['TZ'] = 'UTC'
time.tzset()
class DifyApp(Flask):
pass
# -------------
# Configuration
# -------------
config_type = os.getenv('EDITION', default='SELF_HOSTED') # ce edition first
# ----------------------------
# Application Factory Function
# ----------------------------
def create_flask_app_with_configs() -> Flask:
"""
create a raw flask app
with configs loaded from .env file
"""
dify_app = DifyApp(__name__)
dify_app.config.from_mapping(DifyConfig().model_dump())
# populate configs into system environment variables
for key, value in dify_app.config.items():
if isinstance(value, str):
os.environ[key] = value
elif isinstance(value, int | float | bool):
os.environ[key] = str(value)
elif value is None:
os.environ[key] = ''
return dify_app
def create_app() -> Flask:
app = create_flask_app_with_configs()
app.secret_key = app.config['SECRET_KEY']
log_handlers = None
log_file = app.config.get('LOG_FILE')
if log_file:
log_dir = os.path.dirname(log_file)
os.makedirs(log_dir, exist_ok=True)
log_handlers = [
RotatingFileHandler(
filename=log_file,
maxBytes=1024 * 1024 * 1024,
backupCount=5
),
logging.StreamHandler(sys.stdout)
]
logging.basicConfig(
level=app.config.get('LOG_LEVEL'),
format=app.config.get('LOG_FORMAT'),
datefmt=app.config.get('LOG_DATEFORMAT'),
handlers=log_handlers,
force=True
)
log_tz = app.config.get('LOG_TZ')
if log_tz:
from datetime import datetime
import pytz
timezone = pytz.timezone(log_tz)
def time_converter(seconds):
return datetime.utcfromtimestamp(seconds).astimezone(timezone).timetuple()
for handler in logging.root.handlers:
handler.formatter.converter = time_converter
initialize_extensions(app)
register_blueprints(app)
register_commands(app)
return app
def initialize_extensions(app):
# Since the application instance is now created, pass it to each Flask
# extension instance to bind it to the Flask application instance (app)
ext_compress.init_app(app)
ext_code_based_extension.init()
ext_database.init_app(app)
ext_migrate.init(app, db)
ext_redis.init_app(app)
ext_storage.init_app(app)
ext_celery.init_app(app)
ext_login.init_app(app)
ext_mail.init_app(app)
ext_hosting_provider.init_app(app)
ext_sentry.init_app(app)
# Flask-Login configuration
@login_manager.request_loader
def load_user_from_request(request_from_flask_login):
"""Load user based on the request."""
if request.blueprint not in ['console', 'inner_api']:
return None
# Check if the user_id contains a dot, indicating the old format
auth_header = request.headers.get('Authorization', '')
if not auth_header:
auth_token = request.args.get('_token')
if not auth_token:
raise Unauthorized('Invalid Authorization token.')
else:
if ' ' not in auth_header:
raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
auth_scheme, auth_token = auth_header.split(None, 1)
auth_scheme = auth_scheme.lower()
if auth_scheme != 'bearer':
raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
decoded = PassportService().verify(auth_token)
user_id = decoded.get('user_id')
return AccountService.load_logged_in_account(account_id=user_id, token=auth_token)
@login_manager.unauthorized_handler
def unauthorized_handler():
"""Handle unauthorized requests."""
return Response(json.dumps({
'code': 'unauthorized',
'message': "Unauthorized."
}), status=401, content_type="application/json")
# register blueprint routers
def register_blueprints(app):
from controllers.console import bp as console_app_bp
from controllers.files import bp as files_bp
from controllers.inner_api import bp as inner_api_bp
from controllers.service_api import bp as service_api_bp
from controllers.web import bp as web_bp
CORS(service_api_bp,
allow_headers=['Content-Type', 'Authorization', 'X-App-Code'],
methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH']
)
app.register_blueprint(service_api_bp)
CORS(web_bp,
resources={
r"/*": {"origins": app.config['WEB_API_CORS_ALLOW_ORIGINS']}},
supports_credentials=True,
allow_headers=['Content-Type', 'Authorization', 'X-App-Code'],
methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH'],
expose_headers=['X-Version', 'X-Env']
)
app.register_blueprint(web_bp)
CORS(console_app_bp,
resources={
r"/*": {"origins": app.config['CONSOLE_CORS_ALLOW_ORIGINS']}},
supports_credentials=True,
allow_headers=['Content-Type', 'Authorization'],
methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH'],
expose_headers=['X-Version', 'X-Env']
)
app.register_blueprint(console_app_bp)
CORS(files_bp,
allow_headers=['Content-Type'],
methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH']
)
app.register_blueprint(files_bp)
app.register_blueprint(inner_api_bp)
# create app
if is_db_command():
from app_factory import create_migrations_app
app = create_app()
celery = app.extensions["celery"]
app = create_migrations_app()
else:
# It seems that JetBrains Python debugger does not work well with gevent,
# so we need to disable gevent in debug mode.
# If you are using debugpy and set GEVENT_SUPPORT=True, you can debug with gevent.
if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
from gevent import monkey # type: ignore
if app.config.get('TESTING'):
print("App is running in TESTING mode")
# gevent
monkey.patch_all()
from grpc.experimental import gevent as grpc_gevent # type: ignore
@app.after_request
def after_request(response):
"""Add Version headers to the response."""
response.set_cookie('remember_token', '', expires=0)
response.headers.add('X-Version', app.config['CURRENT_VERSION'])
response.headers.add('X-Env', app.config['DEPLOY_ENV'])
return response
# grpc gevent
grpc_gevent.init_gevent()
import psycogreen.gevent # type: ignore
@app.route('/health')
def health():
return Response(json.dumps({
'status': 'ok',
'version': app.config['CURRENT_VERSION']
}), status=200, content_type="application/json")
psycogreen.gevent.patch_psycopg()
from app_factory import create_app
@app.route('/threads')
def threads():
num_threads = threading.active_count()
threads = threading.enumerate()
app = create_app()
celery = app.extensions["celery"]
thread_list = []
for thread in threads:
thread_name = thread.name
thread_id = thread.ident
is_alive = thread.is_alive()
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5001)
thread_list.append({
'name': thread_name,
'id': thread_id,
'is_alive': is_alive
})
return {
'thread_num': num_threads,
'threads': thread_list
}
@app.route('/db-pool-stat')
def pool_stat():
engine = db.engine
return {
'pool_size': engine.pool.size(),
'checked_in_connections': engine.pool.checkedin(),
'checked_out_connections': engine.pool.checkedout(),
'overflow_connections': engine.pool.overflow(),
'connection_timeout': engine.pool.timeout(),
'recycle_time': db.engine.pool._recycle
}
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5001)

View File

@@ -1,108 +0,0 @@
import logging
import time
from configs import dify_config
from contexts.wrapper import RecyclableContextVar
from dify_app import DifyApp
# ----------------------------
# Application Factory Function
# ----------------------------
def create_flask_app_with_configs() -> DifyApp:
"""
create a raw flask app
with configs loaded from .env file
"""
dify_app = DifyApp(__name__)
dify_app.config.from_mapping(dify_config.model_dump())
# add before request hook
@dify_app.before_request
def before_request():
# add an unique identifier to each request
RecyclableContextVar.increment_thread_recycles()
return dify_app
def create_app() -> DifyApp:
start_time = time.perf_counter()
app = create_flask_app_with_configs()
initialize_extensions(app)
end_time = time.perf_counter()
if dify_config.DEBUG:
logging.info(f"Finished create_app ({round((end_time - start_time) * 1000, 2)} ms)")
return app
def initialize_extensions(app: DifyApp):
from extensions import (
ext_app_metrics,
ext_blueprints,
ext_celery,
ext_code_based_extension,
ext_commands,
ext_compress,
ext_database,
ext_hosting_provider,
ext_import_modules,
ext_logging,
ext_login,
ext_mail,
ext_migrate,
ext_proxy_fix,
ext_redis,
ext_sentry,
ext_set_secretkey,
ext_storage,
ext_timezone,
ext_warnings,
)
extensions = [
ext_timezone,
ext_logging,
ext_warnings,
ext_import_modules,
ext_set_secretkey,
ext_compress,
ext_code_based_extension,
ext_database,
ext_app_metrics,
ext_migrate,
ext_redis,
ext_storage,
ext_celery,
ext_login,
ext_mail,
ext_hosting_provider,
ext_sentry,
ext_proxy_fix,
ext_blueprints,
ext_commands,
]
for ext in extensions:
short_name = ext.__name__.split(".")[-1]
is_enabled = ext.is_enabled() if hasattr(ext, "is_enabled") else True
if not is_enabled:
if dify_config.DEBUG:
logging.info(f"Skipped {short_name}")
continue
start_time = time.perf_counter()
ext.init_app(app)
end_time = time.perf_counter()
if dify_config.DEBUG:
logging.info(f"Loaded {short_name} ({round((end_time - start_time) * 1000, 2)} ms)")
def create_migrations_app():
app = create_flask_app_with_configs()
from extensions import ext_database, ext_migrate
# Initialize only required extensions
ext_database.init_app(app)
ext_migrate.init_app(app)
return app

View File

@@ -8,7 +8,6 @@ import click
from flask import current_app
from werkzeug.exceptions import NotFound
from configs import dify_config
from constants.languages import languages
from core.rag.datasource.vdb.vector_factory import Vector
from core.rag.datasource.vdb.vector_type import VectorType
@@ -19,39 +18,40 @@ from extensions.ext_redis import redis_client
from libs.helper import email as email_validate
from libs.password import hash_password, password_pattern, valid_password
from libs.rsa import generate_key_pair
from models import Tenant
from models.account import Tenant
from models.dataset import Dataset, DatasetCollectionBinding, DocumentSegment
from models.dataset import Document as DatasetDocument
from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
from models.provider import Provider, ProviderModel
from services.account_service import RegisterService, TenantService
from services.plugin.data_migration import PluginDataMigration
from services.plugin.plugin_migration import PluginMigration
@click.command("reset-password", help="Reset the account password.")
@click.option("--email", prompt=True, help="Account email to reset password for")
@click.option("--new-password", prompt=True, help="New password")
@click.option("--password-confirm", prompt=True, help="Confirm new password")
@click.command('reset-password', help='Reset the account password.')
@click.option('--email', prompt=True, help='The email address of the account whose password you need to reset')
@click.option('--new-password', prompt=True, help='the new password.')
@click.option('--password-confirm', prompt=True, help='the new password confirm.')
def reset_password(email, new_password, password_confirm):
"""
Reset password of owner account
Only available in SELF_HOSTED mode
"""
if str(new_password).strip() != str(password_confirm).strip():
click.echo(click.style("Passwords do not match.", fg="red"))
click.echo(click.style('sorry. The two passwords do not match.', fg='red'))
return
account = db.session.query(Account).filter(Account.email == email).one_or_none()
account = db.session.query(Account). \
filter(Account.email == email). \
one_or_none()
if not account:
click.echo(click.style("Account not found for email: {}".format(email), fg="red"))
click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
return
try:
valid_password(new_password)
except:
click.echo(click.style("Invalid password. Must match {}".format(password_pattern), fg="red"))
click.echo(
click.style('sorry. The passwords must match {} '.format(password_pattern), fg='red'))
return
# generate password salt
@@ -64,87 +64,80 @@ def reset_password(email, new_password, password_confirm):
account.password = base64_password_hashed
account.password_salt = base64_salt
db.session.commit()
click.echo(click.style("Password reset successfully.", fg="green"))
click.echo(click.style('Congratulations! Password has been reset.', fg='green'))
@click.command("reset-email", help="Reset the account email.")
@click.option("--email", prompt=True, help="Current account email")
@click.option("--new-email", prompt=True, help="New email")
@click.option("--email-confirm", prompt=True, help="Confirm new email")
@click.command('reset-email', help='Reset the account email.')
@click.option('--email', prompt=True, help='The old email address of the account whose email you need to reset')
@click.option('--new-email', prompt=True, help='the new email.')
@click.option('--email-confirm', prompt=True, help='the new email confirm.')
def reset_email(email, new_email, email_confirm):
"""
Replace account email
:return:
"""
if str(new_email).strip() != str(email_confirm).strip():
click.echo(click.style("New emails do not match.", fg="red"))
click.echo(click.style('Sorry, new email and confirm email do not match.', fg='red'))
return
account = db.session.query(Account).filter(Account.email == email).one_or_none()
account = db.session.query(Account). \
filter(Account.email == email). \
one_or_none()
if not account:
click.echo(click.style("Account not found for email: {}".format(email), fg="red"))
click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
return
try:
email_validate(new_email)
except:
click.echo(click.style("Invalid email: {}".format(new_email), fg="red"))
click.echo(
click.style('sorry. {} is not a valid email. '.format(email), fg='red'))
return
account.email = new_email
db.session.commit()
click.echo(click.style("Email updated successfully.", fg="green"))
click.echo(click.style('Congratulations!, email has been reset.', fg='green'))
@click.command(
"reset-encrypt-key-pair",
help="Reset the asymmetric key pair of workspace for encrypt LLM credentials. "
"After the reset, all LLM credentials will become invalid, "
"requiring re-entry."
"Only support SELF_HOSTED mode.",
)
@click.confirmation_option(
prompt=click.style(
"Are you sure you want to reset encrypt key pair? This operation cannot be rolled back!", fg="red"
)
)
@click.command('reset-encrypt-key-pair', help='Reset the asymmetric key pair of workspace for encrypt LLM credentials. '
'After the reset, all LLM credentials will become invalid, '
'requiring re-entry.'
'Only support SELF_HOSTED mode.')
@click.confirmation_option(prompt=click.style('Are you sure you want to reset encrypt key pair?'
' this operation cannot be rolled back!', fg='red'))
def reset_encrypt_key_pair():
"""
Reset the encrypted key pair of workspace for encrypt LLM credentials.
After the reset, all LLM credentials will become invalid, requiring re-entry.
Only support SELF_HOSTED mode.
"""
if dify_config.EDITION != "SELF_HOSTED":
click.echo(click.style("This command is only for SELF_HOSTED installations.", fg="red"))
if current_app.config['EDITION'] != 'SELF_HOSTED':
click.echo(click.style('Sorry, only support SELF_HOSTED mode.', fg='red'))
return
tenants = db.session.query(Tenant).all()
for tenant in tenants:
if not tenant:
click.echo(click.style("No workspaces found. Run /install first.", fg="red"))
click.echo(click.style('Sorry, no workspace found. Please enter /install to initialize.', fg='red'))
return
tenant.encrypt_public_key = generate_key_pair(tenant.id)
db.session.query(Provider).filter(Provider.provider_type == "custom", Provider.tenant_id == tenant.id).delete()
db.session.query(Provider).filter(Provider.provider_type == 'custom', Provider.tenant_id == tenant.id).delete()
db.session.query(ProviderModel).filter(ProviderModel.tenant_id == tenant.id).delete()
db.session.commit()
click.echo(
click.style(
"Congratulations! The asymmetric key pair of workspace {} has been reset.".format(tenant.id),
fg="green",
)
)
click.echo(click.style('Congratulations! '
'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
@click.command("vdb-migrate", help="Migrate vector db.")
@click.option("--scope", default="all", prompt=False, help="The scope of vector database to migrate, Default is All.")
@click.command('vdb-migrate', help='migrate vector db.')
@click.option('--scope', default='all', prompt=False, help='The scope of vector database to migrate, Default is All.')
def vdb_migrate(scope: str):
if scope in {"knowledge", "all"}:
if scope in ['knowledge', 'all']:
migrate_knowledge_vector_database()
if scope in {"annotation", "all"}:
if scope in ['annotation', 'all']:
migrate_annotation_vector_database()
@@ -152,7 +145,7 @@ def migrate_annotation_vector_database():
"""
Migrate annotation datas to target vector database .
"""
click.echo(click.style("Starting annotation data migration.", fg="green"))
click.echo(click.style('Start migrate annotation data.', fg='green'))
create_count = 0
skipped_count = 0
total_count = 0
@@ -160,215 +153,221 @@ def migrate_annotation_vector_database():
while True:
try:
# get apps info
apps = (
App.query.filter(App.status == "normal")
.order_by(App.created_at.desc())
.paginate(page=page, per_page=50)
)
apps = db.session.query(App).filter(
App.status == 'normal'
).order_by(App.created_at.desc()).paginate(page=page, per_page=50)
except NotFound:
break
page += 1
for app in apps:
total_count = total_count + 1
click.echo(
f"Processing the {total_count} app {app.id}. " + f"{create_count} created, {skipped_count} skipped."
)
click.echo(f'Processing the {total_count} app {app.id}. '
+ f'{create_count} created, {skipped_count} skipped.')
try:
click.echo("Creating app annotation index: {}".format(app.id))
app_annotation_setting = (
db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app.id).first()
)
click.echo('Create app annotation index: {}'.format(app.id))
app_annotation_setting = db.session.query(AppAnnotationSetting).filter(
AppAnnotationSetting.app_id == app.id
).first()
if not app_annotation_setting:
skipped_count = skipped_count + 1
click.echo("App annotation setting disabled: {}".format(app.id))
click.echo('App annotation setting is disabled: {}'.format(app.id))
continue
# get dataset_collection_binding info
dataset_collection_binding = (
db.session.query(DatasetCollectionBinding)
.filter(DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id)
.first()
)
dataset_collection_binding = db.session.query(DatasetCollectionBinding).filter(
DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id
).first()
if not dataset_collection_binding:
click.echo("App annotation collection binding not found: {}".format(app.id))
click.echo('App annotation collection binding is not exist: {}'.format(app.id))
continue
annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app.id).all()
dataset = Dataset(
id=app.id,
tenant_id=app.tenant_id,
indexing_technique="high_quality",
indexing_technique='high_quality',
embedding_model_provider=dataset_collection_binding.provider_name,
embedding_model=dataset_collection_binding.model_name,
collection_binding_id=dataset_collection_binding.id,
collection_binding_id=dataset_collection_binding.id
)
documents = []
if annotations:
for annotation in annotations:
document = Document(
page_content=annotation.question,
metadata={"annotation_id": annotation.id, "app_id": app.id, "doc_id": annotation.id},
metadata={
"annotation_id": annotation.id,
"app_id": app.id,
"doc_id": annotation.id
}
)
documents.append(document)
vector = Vector(dataset, attributes=["doc_id", "annotation_id", "app_id"])
click.echo(f"Migrating annotations for app: {app.id}.")
vector = Vector(dataset, attributes=['doc_id', 'annotation_id', 'app_id'])
click.echo(f"Start to migrate annotation, app_id: {app.id}.")
try:
vector.delete()
click.echo(click.style(f"Deleted vector index for app {app.id}.", fg="green"))
click.echo(
click.style(f'Successfully delete vector index for app: {app.id}.',
fg='green'))
except Exception as e:
click.echo(click.style(f"Failed to delete vector index for app {app.id}.", fg="red"))
click.echo(
click.style(f'Failed to delete vector index for app {app.id}.',
fg='red'))
raise e
if documents:
try:
click.echo(
click.style(
f"Creating vector index with {len(documents)} annotations for app {app.id}.",
fg="green",
)
)
click.echo(click.style(
f'Start to created vector index with {len(documents)} annotations for app {app.id}.',
fg='green'))
vector.create(documents)
click.echo(click.style(f"Created vector index for app {app.id}.", fg="green"))
click.echo(
click.style(f'Successfully created vector index for app {app.id}.', fg='green'))
except Exception as e:
click.echo(click.style(f"Failed to created vector index for app {app.id}.", fg="red"))
click.echo(click.style(f'Failed to created vector index for app {app.id}.', fg='red'))
raise e
click.echo(f"Successfully migrated app annotation {app.id}.")
click.echo(f'Successfully migrated app annotation {app.id}.')
create_count += 1
except Exception as e:
click.echo(
click.style(
"Error creating app annotation index: {} {}".format(e.__class__.__name__, str(e)), fg="red"
)
)
click.style('Create app annotation index error: {} {}'.format(e.__class__.__name__, str(e)),
fg='red'))
continue
click.echo(
click.style(
f"Migration complete. Created {create_count} app annotation indexes. Skipped {skipped_count} apps.",
fg="green",
)
)
click.style(f'Congratulations! Create {create_count} app annotation indexes, and skipped {skipped_count} apps.',
fg='green'))
def migrate_knowledge_vector_database():
"""
Migrate vector database datas to target vector database .
"""
click.echo(click.style("Starting vector database migration.", fg="green"))
click.echo(click.style('Start migrate vector db.', fg='green'))
create_count = 0
skipped_count = 0
total_count = 0
vector_type = dify_config.VECTOR_STORE
upper_collection_vector_types = {
VectorType.MILVUS,
VectorType.PGVECTOR,
VectorType.RELYT,
VectorType.WEAVIATE,
VectorType.ORACLE,
VectorType.ELASTICSEARCH,
}
lower_collection_vector_types = {
VectorType.ANALYTICDB,
VectorType.CHROMA,
VectorType.MYSCALE,
VectorType.PGVECTO_RS,
VectorType.TIDB_VECTOR,
VectorType.OPENSEARCH,
VectorType.TENCENT,
VectorType.BAIDU,
VectorType.VIKINGDB,
VectorType.UPSTASH,
VectorType.COUCHBASE,
VectorType.OCEANBASE,
}
config = current_app.config
vector_type = config.get('VECTOR_STORE')
page = 1
while True:
try:
datasets = (
Dataset.query.filter(Dataset.indexing_technique == "high_quality")
.order_by(Dataset.created_at.desc())
.paginate(page=page, per_page=50)
)
datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
.order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
except NotFound:
break
page += 1
for dataset in datasets:
total_count = total_count + 1
click.echo(
f"Processing the {total_count} dataset {dataset.id}. {create_count} created, {skipped_count} skipped."
)
click.echo(f'Processing the {total_count} dataset {dataset.id}. '
+ f'{create_count} created, {skipped_count} skipped.')
try:
click.echo("Creating dataset vector database index: {}".format(dataset.id))
click.echo('Create dataset vdb index: {}'.format(dataset.id))
if dataset.index_struct_dict:
if dataset.index_struct_dict["type"] == vector_type:
if dataset.index_struct_dict['type'] == vector_type:
skipped_count = skipped_count + 1
continue
collection_name = ""
dataset_id = dataset.id
if vector_type in upper_collection_vector_types:
collection_name = ''
if vector_type == VectorType.WEAVIATE:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.WEAVIATE,
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.QDRANT:
if dataset.collection_binding_id:
dataset_collection_binding = (
db.session.query(DatasetCollectionBinding)
.filter(DatasetCollectionBinding.id == dataset.collection_binding_id)
.one_or_none()
)
dataset_collection_binding = db.session.query(DatasetCollectionBinding). \
filter(DatasetCollectionBinding.id == dataset.collection_binding_id). \
one_or_none()
if dataset_collection_binding:
collection_name = dataset_collection_binding.collection_name
else:
raise ValueError("Dataset Collection Binding not found")
raise ValueError('Dataset Collection Bindings is not exist!')
else:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.QDRANT,
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type in lower_collection_vector_types:
collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower()
elif vector_type == VectorType.MILVUS:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.MILVUS,
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.RELYT:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": 'relyt',
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.TENCENT:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.TENCENT,
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.PGVECTOR:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.PGVECTOR,
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.OPENSEARCH:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.OPENSEARCH,
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
else:
raise ValueError(f"Vector store {vector_type} is not supported.")
index_struct_dict = {"type": vector_type, "vector_store": {"class_prefix": collection_name}}
dataset.index_struct = json.dumps(index_struct_dict)
vector = Vector(dataset)
click.echo(f"Migrating dataset {dataset.id}.")
click.echo(f"Start to migrate dataset {dataset.id}.")
try:
vector.delete()
click.echo(
click.style(f"Deleted vector index {collection_name} for dataset {dataset.id}.", fg="green")
)
click.style(f'Successfully delete vector index {collection_name} for dataset {dataset.id}.',
fg='green'))
except Exception as e:
click.echo(
click.style(
f"Failed to delete vector index {collection_name} for dataset {dataset.id}.", fg="red"
)
)
click.style(f'Failed to delete vector index {collection_name} for dataset {dataset.id}.',
fg='red'))
raise e
dataset_documents = (
db.session.query(DatasetDocument)
.filter(
DatasetDocument.dataset_id == dataset.id,
DatasetDocument.indexing_status == "completed",
DatasetDocument.enabled == True,
DatasetDocument.archived == False,
)
.all()
)
dataset_documents = db.session.query(DatasetDocument).filter(
DatasetDocument.dataset_id == dataset.id,
DatasetDocument.indexing_status == 'completed',
DatasetDocument.enabled == True,
DatasetDocument.archived == False,
).all()
documents = []
segments_count = 0
for dataset_document in dataset_documents:
segments = (
db.session.query(DocumentSegment)
.filter(
DocumentSegment.document_id == dataset_document.id,
DocumentSegment.status == "completed",
DocumentSegment.enabled == True,
)
.all()
)
segments = db.session.query(DocumentSegment).filter(
DocumentSegment.document_id == dataset_document.id,
DocumentSegment.status == 'completed',
DocumentSegment.enabled == True
).all()
for segment in segments:
document = Document(
@@ -378,7 +377,7 @@ def migrate_knowledge_vector_database():
"doc_hash": segment.index_node_hash,
"document_id": segment.document_id,
"dataset_id": segment.dataset_id,
},
}
)
documents.append(document)
@@ -386,42 +385,37 @@ def migrate_knowledge_vector_database():
if documents:
try:
click.echo(
click.style(
f"Creating vector index with {len(documents)} documents of {segments_count}"
f" segments for dataset {dataset.id}.",
fg="green",
)
)
click.echo(click.style(
f'Start to created vector index with {len(documents)} documents of {segments_count} segments for dataset {dataset.id}.',
fg='green'))
vector.create(documents)
click.echo(click.style(f"Created vector index for dataset {dataset.id}.", fg="green"))
click.echo(
click.style(f'Successfully created vector index for dataset {dataset.id}.', fg='green'))
except Exception as e:
click.echo(click.style(f"Failed to created vector index for dataset {dataset.id}.", fg="red"))
click.echo(click.style(f'Failed to created vector index for dataset {dataset.id}.', fg='red'))
raise e
db.session.add(dataset)
db.session.commit()
click.echo(f"Successfully migrated dataset {dataset.id}.")
click.echo(f'Successfully migrated dataset {dataset.id}.')
create_count += 1
except Exception as e:
db.session.rollback()
click.echo(
click.style("Error creating dataset index: {} {}".format(e.__class__.__name__, str(e)), fg="red")
)
click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
fg='red'))
continue
click.echo(
click.style(
f"Migration complete. Created {create_count} dataset indexes. Skipped {skipped_count} datasets.", fg="green"
)
)
click.style(f'Congratulations! Create {create_count} dataset indexes, and skipped {skipped_count} datasets.',
fg='green'))
@click.command("convert-to-agent-apps", help="Convert Agent Assistant to Agent App.")
@click.command('convert-to-agent-apps', help='Convert Agent Assistant to Agent App.')
def convert_to_agent_apps():
"""
Convert Agent Assistant to Agent App.
"""
click.echo(click.style("Starting convert to agent apps.", fg="green"))
click.echo(click.style('Start convert to agent apps.', fg='green'))
proceeded_app_ids = []
@@ -429,14 +423,14 @@ def convert_to_agent_apps():
# fetch first 1000 apps
sql_query = """SELECT a.id AS id FROM apps a
INNER JOIN app_model_configs am ON a.app_model_config_id=am.id
WHERE a.mode = 'chat'
AND am.agent_mode is not null
WHERE a.mode = 'chat'
AND am.agent_mode is not null
AND (
am.agent_mode like '%"strategy": "function_call"%'
am.agent_mode like '%"strategy": "function_call"%'
OR am.agent_mode like '%"strategy": "react"%'
)
)
AND (
am.agent_mode like '{"enabled": true%'
am.agent_mode like '{"enabled": true%'
OR am.agent_mode like '{"max_iteration": %'
) ORDER BY a.created_at DESC LIMIT 1000
"""
@@ -450,14 +444,13 @@ def convert_to_agent_apps():
if app_id not in proceeded_app_ids:
proceeded_app_ids.append(app_id)
app = db.session.query(App).filter(App.id == app_id).first()
if app is not None:
apps.append(app)
apps.append(app)
if len(apps) == 0:
break
for app in apps:
click.echo("Converting app: {}".format(app.id))
click.echo('Converting app: {}'.format(app.id))
try:
app.mode = AppMode.AGENT_CHAT.value
@@ -469,95 +462,90 @@ def convert_to_agent_apps():
)
db.session.commit()
click.echo(click.style("Converted app: {}".format(app.id), fg="green"))
click.echo(click.style('Converted app: {}'.format(app.id), fg='green'))
except Exception as e:
click.echo(click.style("Convert app error: {} {}".format(e.__class__.__name__, str(e)), fg="red"))
click.echo(
click.style('Convert app error: {} {}'.format(e.__class__.__name__,
str(e)), fg='red'))
click.echo(click.style("Conversion complete. Converted {} agent apps.".format(len(proceeded_app_ids)), fg="green"))
click.echo(click.style('Congratulations! Converted {} agent apps.'.format(len(proceeded_app_ids)), fg='green'))
@click.command("add-qdrant-doc-id-index", help="Add Qdrant doc_id index.")
@click.option("--field", default="metadata.doc_id", prompt=False, help="Index field , default is metadata.doc_id.")
@click.command('add-qdrant-doc-id-index', help='add qdrant doc_id index.')
@click.option('--field', default='metadata.doc_id', prompt=False, help='index field , default is metadata.doc_id.')
def add_qdrant_doc_id_index(field: str):
click.echo(click.style("Starting Qdrant doc_id index creation.", fg="green"))
vector_type = dify_config.VECTOR_STORE
click.echo(click.style('Start add qdrant doc_id index.', fg='green'))
config = current_app.config
vector_type = config.get('VECTOR_STORE')
if vector_type != "qdrant":
click.echo(click.style("This command only supports Qdrant vector store.", fg="red"))
click.echo(click.style('Sorry, only support qdrant vector store.', fg='red'))
return
create_count = 0
try:
bindings = db.session.query(DatasetCollectionBinding).all()
if not bindings:
click.echo(click.style("No dataset collection bindings found.", fg="red"))
click.echo(click.style('Sorry, no dataset collection bindings found.', fg='red'))
return
import qdrant_client
from qdrant_client.http.exceptions import UnexpectedResponse
from qdrant_client.http.models import PayloadSchemaType
from core.rag.datasource.vdb.qdrant.qdrant_vector import QdrantConfig
for binding in bindings:
if dify_config.QDRANT_URL is None:
raise ValueError("Qdrant URL is required.")
qdrant_config = QdrantConfig(
endpoint=dify_config.QDRANT_URL,
api_key=dify_config.QDRANT_API_KEY,
endpoint=config.get('QDRANT_URL'),
api_key=config.get('QDRANT_API_KEY'),
root_path=current_app.root_path,
timeout=dify_config.QDRANT_CLIENT_TIMEOUT,
grpc_port=dify_config.QDRANT_GRPC_PORT,
prefer_grpc=dify_config.QDRANT_GRPC_ENABLED,
timeout=config.get('QDRANT_CLIENT_TIMEOUT'),
grpc_port=config.get('QDRANT_GRPC_PORT'),
prefer_grpc=config.get('QDRANT_GRPC_ENABLED')
)
try:
client = qdrant_client.QdrantClient(**qdrant_config.to_qdrant_params())
# create payload index
client.create_payload_index(binding.collection_name, field, field_schema=PayloadSchemaType.KEYWORD)
client.create_payload_index(binding.collection_name, field,
field_schema=PayloadSchemaType.KEYWORD)
create_count += 1
except UnexpectedResponse as e:
# Collection does not exist, so return
if e.status_code == 404:
click.echo(click.style(f"Collection not found: {binding.collection_name}.", fg="red"))
click.echo(click.style(f'Collection not found, collection_name:{binding.collection_name}.', fg='red'))
continue
# Some other error occurred, so re-raise the exception
else:
click.echo(
click.style(
f"Failed to create Qdrant index for collection: {binding.collection_name}.", fg="red"
)
)
click.echo(click.style(f'Failed to create qdrant index, collection_name:{binding.collection_name}.', fg='red'))
except Exception:
click.echo(click.style("Failed to create Qdrant client.", fg="red"))
except Exception as e:
click.echo(click.style('Failed to create qdrant client.', fg='red'))
click.echo(click.style(f"Index creation complete. Created {create_count} collection indexes.", fg="green"))
click.echo(
click.style(f'Congratulations! Create {create_count} collection indexes.',
fg='green'))
@click.command("create-tenant", help="Create account and tenant.")
@click.option("--email", prompt=True, help="Tenant account email.")
@click.option("--name", prompt=True, help="Workspace name.")
@click.option("--language", prompt=True, help="Account language, default: en-US.")
def create_tenant(email: str, language: Optional[str] = None, name: Optional[str] = None):
@click.command('create-tenant', help='Create account and tenant.')
@click.option('--email', prompt=True, help='The email address of the tenant account.')
@click.option('--language', prompt=True, help='Account language, default: en-US.')
def create_tenant(email: str, language: Optional[str] = None):
"""
Create tenant account
"""
if not email:
click.echo(click.style("Email is required.", fg="red"))
click.echo(click.style('Sorry, email is required.', fg='red'))
return
# Create account
email = email.strip()
if "@" not in email:
click.echo(click.style("Invalid email address.", fg="red"))
if '@' not in email:
click.echo(click.style('Sorry, invalid email address.', fg='red'))
return
account_name = email.split("@")[0]
account_name = email.split('@')[0]
if language not in languages:
language = "en-US"
# Validates name encoding for non-Latin characters.
name = name.strip().encode("utf-8").decode("utf-8") if name else None
language = 'en-US'
# generate random password
new_password = secrets.token_urlsafe(16)
@@ -567,48 +555,43 @@ def create_tenant(email: str, language: Optional[str] = None, name: Optional[str
email=email,
name=account_name,
password=new_password,
language=language,
create_workspace_required=False,
)
TenantService.create_owner_tenant_if_not_exist(account, name)
click.echo(
click.style(
"Account and tenant created.\nAccount: {}\nPassword: {}".format(email, new_password),
fg="green",
)
language=language
)
TenantService.create_owner_tenant_if_not_exist(account)
@click.command("upgrade-db", help="Upgrade the database")
click.echo(click.style('Congratulations! Account and tenant created.\n'
'Account: {}\nPassword: {}'.format(email, new_password), fg='green'))
@click.command('upgrade-db', help='upgrade the database')
def upgrade_db():
click.echo("Preparing database migration...")
lock = redis_client.lock(name="db_upgrade_lock", timeout=60)
click.echo('Preparing database migration...')
lock = redis_client.lock(name='db_upgrade_lock', timeout=60)
if lock.acquire(blocking=False):
try:
click.echo(click.style("Starting database migration.", fg="green"))
click.echo(click.style('Start database migration.', fg='green'))
# run db migration
import flask_migrate # type: ignore
import flask_migrate
flask_migrate.upgrade()
click.echo(click.style("Database migration successful!", fg="green"))
click.echo(click.style('Database migration successful!', fg='green'))
except Exception:
logging.exception("Failed to execute database migration")
except Exception as e:
logging.exception(f'Database migration failed, error: {e}')
finally:
lock.release()
else:
click.echo("Database migration skipped")
click.echo('Database migration skipped')
@click.command("fix-app-site-missing", help="Fix app related site missing issue.")
@click.command('fix-app-site-missing', help='Fix app related site missing issue.')
def fix_app_site_missing():
"""
Fix app related site missing issue.
"""
click.echo(click.style("Starting fix for missing app-related sites.", fg="green"))
click.echo(click.style('Start fix app related site missing issue.', fg='green'))
failed_app_ids = []
while True:
@@ -627,93 +610,36 @@ where sites.id is null limit 1000"""
try:
app = db.session.query(App).filter(App.id == app_id).first()
if not app:
print(f"App {app_id} not found")
continue
tenant = app.tenant
if tenant:
accounts = tenant.get_accounts()
if not accounts:
print("Fix failed for app {}".format(app.id))
print("Fix app {} failed.".format(app.id))
continue
account = accounts[0]
print("Fixing missing site for app {}".format(app.id))
print("Fix app {} related site missing issue.".format(app.id))
app_was_created.send(app, account=account)
except Exception:
except Exception as e:
failed_app_ids.append(app_id)
click.echo(click.style("Failed to fix missing site for app {}".format(app_id), fg="red"))
logging.exception(f"Failed to fix app related site missing issue, app_id: {app_id}")
click.echo(click.style('Fix app {} related site missing issue failed!'.format(app_id), fg='red'))
logging.exception(f'Fix app related site missing issue failed, error: {e}')
continue
if not processed_count:
break
click.echo(click.style("Fix for missing app-related sites completed successfully!", fg="green"))
click.echo(click.style('Congratulations! Fix app related site missing issue successful!', fg='green'))
@click.command("migrate-data-for-plugin", help="Migrate data for plugin.")
def migrate_data_for_plugin():
"""
Migrate data for plugin.
"""
click.echo(click.style("Starting migrate data for plugin.", fg="white"))
PluginDataMigration.migrate()
click.echo(click.style("Migrate data for plugin completed.", fg="green"))
@click.command("extract-plugins", help="Extract plugins.")
@click.option("--output_file", prompt=True, help="The file to store the extracted plugins.", default="plugins.jsonl")
@click.option("--workers", prompt=True, help="The number of workers to extract plugins.", default=10)
def extract_plugins(output_file: str, workers: int):
"""
Extract plugins.
"""
click.echo(click.style("Starting extract plugins.", fg="white"))
PluginMigration.extract_plugins(output_file, workers)
click.echo(click.style("Extract plugins completed.", fg="green"))
@click.command("extract-unique-identifiers", help="Extract unique identifiers.")
@click.option(
"--output_file",
prompt=True,
help="The file to store the extracted unique identifiers.",
default="unique_identifiers.json",
)
@click.option(
"--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
)
def extract_unique_plugins(output_file: str, input_file: str):
"""
Extract unique plugins.
"""
click.echo(click.style("Starting extract unique plugins.", fg="white"))
PluginMigration.extract_unique_plugins_to_file(input_file, output_file)
click.echo(click.style("Extract unique plugins completed.", fg="green"))
@click.command("install-plugins", help="Install plugins.")
@click.option(
"--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
)
@click.option(
"--output_file", prompt=True, help="The file to store the installed plugins.", default="installed_plugins.jsonl"
)
@click.option("--workers", prompt=True, help="The number of workers to install plugins.", default=100)
def install_plugins(input_file: str, output_file: str, workers: int):
"""
Install plugins.
"""
click.echo(click.style("Starting install plugins.", fg="white"))
PluginMigration.install_plugins(input_file, output_file, workers)
click.echo(click.style("Install plugins completed.", fg="green"))
def register_commands(app):
app.cli.add_command(reset_password)
app.cli.add_command(reset_email)
app.cli.add_command(reset_encrypt_key_pair)
app.cli.add_command(vdb_migrate)
app.cli.add_command(convert_to_agent_apps)
app.cli.add_command(add_qdrant_doc_id_index)
app.cli.add_command(create_tenant)
app.cli.add_command(upgrade_db)
app.cli.add_command(fix_app_site_missing)

View File

@@ -1,3 +0,0 @@
from .app_config import DifyConfig
dify_config = DifyConfig()

View File

@@ -1,96 +1,45 @@
import logging
from typing import Any
from pydantic_settings import BaseSettings, SettingsConfigDict
from pydantic.fields import FieldInfo
from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, SettingsConfigDict
from .deploy import DeploymentConfig
from .enterprise import EnterpriseFeatureConfig
from .extra import ExtraServiceConfig
from .feature import FeatureConfig
from .middleware import MiddlewareConfig
from .packaging import PackagingInfo
from .remote_settings_sources import RemoteSettingsSource, RemoteSettingsSourceConfig, RemoteSettingsSourceName
from .remote_settings_sources.apollo import ApolloSettingsSource
logger = logging.getLogger(__name__)
class RemoteSettingsSourceFactory(PydanticBaseSettingsSource):
def __init__(self, settings_cls: type[BaseSettings]):
super().__init__(settings_cls)
def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
raise NotImplementedError
def __call__(self) -> dict[str, Any]:
current_state = self.current_state
remote_source_name = current_state.get("REMOTE_SETTINGS_SOURCE_NAME")
if not remote_source_name:
return {}
remote_source: RemoteSettingsSource | None = None
match remote_source_name:
case RemoteSettingsSourceName.APOLLO:
remote_source = ApolloSettingsSource(current_state)
case _:
logger.warning(f"Unsupported remote source: {remote_source_name}")
return {}
d: dict[str, Any] = {}
for field_name, field in self.settings_cls.model_fields.items():
field_value, field_key, value_is_complex = remote_source.get_field_value(field, field_name)
field_value = remote_source.prepare_field_value(field_name, field, field_value, value_is_complex)
if field_value is not None:
d[field_key] = field_value
return d
from configs.deploy import DeploymentConfig
from configs.enterprise import EnterpriseFeatureConfig
from configs.extra import ExtraServiceConfig
from configs.feature import FeatureConfig
from configs.middleware import MiddlewareConfig
from configs.packaging import PackagingInfo
# TODO: Both `BaseModel` and `BaseSettings` has `model_config` attribute but they are in different types.
# This inheritance is depends on the order of the classes.
# It is better to use `BaseSettings` as the base class.
class DifyConfig(
# based on pydantic-settings
BaseSettings,
# Packaging info
PackagingInfo,
# Deployment configs
DeploymentConfig,
# Feature configs
FeatureConfig,
# Middleware configs
MiddlewareConfig,
# Extra service configs
ExtraServiceConfig,
# Remote source configs
RemoteSettingsSourceConfig,
# Enterprise feature configs
# **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
EnterpriseFeatureConfig,
):
model_config = SettingsConfigDict(
# read from dotenv format config file
env_file=".env",
env_file_encoding="utf-8",
env_file='.env',
env_file_encoding='utf-8',
# ignore extra attributes
extra="ignore",
extra='ignore',
)
# Before adding any config,
# please consider to arrange it in the proper config group of existed or added
# for better readability and maintainability.
# Thanks for your concentration and consideration.
@classmethod
def settings_customise_sources(
cls,
settings_cls: type[BaseSettings],
init_settings: PydanticBaseSettingsSource,
env_settings: PydanticBaseSettingsSource,
dotenv_settings: PydanticBaseSettingsSource,
file_secret_settings: PydanticBaseSettingsSource,
) -> tuple[PydanticBaseSettingsSource, ...]:
return (
init_settings,
env_settings,
RemoteSettingsSourceFactory(settings_cls),
dotenv_settings,
file_secret_settings,
)

View File

@@ -1,28 +1,26 @@
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class DeploymentConfig(BaseSettings):
class DeploymentConfig(BaseModel):
"""
Configuration settings for application deployment
Deployment configs
"""
APPLICATION_NAME: str = Field(
description="Name of the application, used for identification and logging purposes",
default="langgenius/dify",
description='application name',
default='langgenius/dify',
)
DEBUG: bool = Field(
description="Enable debug mode for additional logging and development features",
TESTING: bool = Field(
description='',
default=False,
)
EDITION: str = Field(
description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')",
default="SELF_HOSTED",
description='deployment edition',
default='SELF_HOSTED',
)
DEPLOY_ENV: str = Field(
description="Deployment environment (e.g., 'PRODUCTION', 'DEVELOPMENT'), default to PRODUCTION",
default="PRODUCTION",
description='deployment environment, default to PRODUCTION.',
default='PRODUCTION',
)

View File

@@ -1,20 +1,18 @@
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class EnterpriseFeatureConfig(BaseSettings):
class EnterpriseFeatureConfig(BaseModel):
"""
Configuration for enterprise-level features.
Enterprise feature configs.
**Before using, please contact business@dify.ai by email to inquire about licensing matters.**
"""
ENTERPRISE_ENABLED: bool = Field(
description="Enable or disable enterprise-level features."
"Before using, please contact business@dify.ai by email to inquire about licensing matters.",
description='whether to enable enterprise features.'
'Before using, please contact business@dify.ai by email to inquire about licensing matters.',
default=False,
)
CAN_REPLACE_LOGO: bool = Field(
description="Allow customization of the enterprise logo.",
description='whether to allow replacing enterprise logo.',
default=False,
)

View File

@@ -1,3 +1,5 @@
from pydantic import BaseModel
from configs.extra.notion_config import NotionConfig
from configs.extra.sentry_config import SentryConfig

View File

@@ -1,36 +1,33 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class NotionConfig(BaseSettings):
class NotionConfig(BaseModel):
"""
Configuration settings for Notion integration
Notion integration configs
"""
NOTION_CLIENT_ID: Optional[str] = Field(
description="Client ID for Notion API authentication. Required for OAuth 2.0 flow.",
description='Notion client ID',
default=None,
)
NOTION_CLIENT_SECRET: Optional[str] = Field(
description="Client secret for Notion API authentication. Required for OAuth 2.0 flow.",
description='Notion client secret key',
default=None,
)
NOTION_INTEGRATION_TYPE: Optional[str] = Field(
description="Type of Notion integration."
" Set to 'internal' for internal integrations, or None for public integrations.",
description='Notion integration type, default to None, available values: internal.',
default=None,
)
NOTION_INTERNAL_SECRET: Optional[str] = Field(
description="Secret key for internal Notion integrations. Required when NOTION_INTEGRATION_TYPE is 'internal'.",
description='Notion internal secret key',
default=None,
)
NOTION_INTEGRATION_TOKEN: Optional[str] = Field(
description="Integration token for Notion API access. Used for direct API calls without OAuth flow.",
description='Notion integration token',
default=None,
)

View File

@@ -1,28 +1,23 @@
from typing import Optional
from pydantic import Field, NonNegativeFloat
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, NonNegativeFloat
class SentryConfig(BaseSettings):
class SentryConfig(BaseModel):
"""
Configuration settings for Sentry error tracking and performance monitoring
Sentry configs
"""
SENTRY_DSN: Optional[str] = Field(
description="Sentry Data Source Name (DSN)."
" This is the unique identifier of your Sentry project, used to send events to the correct project.",
description='Sentry DSN',
default=None,
)
SENTRY_TRACES_SAMPLE_RATE: NonNegativeFloat = Field(
description="Sample rate for Sentry performance monitoring traces."
" Value between 0.0 and 1.0, where 1.0 means 100% of traces are sent to Sentry.",
description='Sentry trace sample rate',
default=1.0,
)
SENTRY_PROFILES_SAMPLE_RATE: NonNegativeFloat = Field(
description="Sample rate for Sentry profiling."
" Value between 0.0 and 1.0, where 1.0 means 100% of profiles are sent to Sentry.",
description='Sentry profiles sample rate',
default=1.0,
)

File diff suppressed because it is too large Load Diff

View File

@@ -1,224 +1,194 @@
from typing import Optional
from pydantic import Field, NonNegativeInt, computed_field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, NonNegativeInt
class HostedCreditConfig(BaseSettings):
HOSTED_MODEL_CREDIT_CONFIG: str = Field(
description="Model credit configuration in format 'model:credits,model:credits', e.g., 'gpt-4:20,gpt-4o:10'",
default="",
)
def get_model_credits(self, model_name: str) -> int:
"""
Get credit value for a specific model name.
Returns 1 if model is not found in configuration (default credit).
:param model_name: The name of the model to search for
:return: The credit value for the model
"""
if not self.HOSTED_MODEL_CREDIT_CONFIG:
return 1
try:
credit_map = dict(
item.strip().split(":", 1) for item in self.HOSTED_MODEL_CREDIT_CONFIG.split(",") if ":" in item
)
# Search for matching model pattern
for pattern, credit in credit_map.items():
if pattern.strip() == model_name:
return int(credit)
return 1 # Default quota if no match found
except (ValueError, AttributeError):
return 1 # Return default quota if parsing fails
class HostedOpenAiConfig(BaseSettings):
class HostedOpenAiConfig(BaseModel):
"""
Configuration for hosted OpenAI service
Hosted OpenAI service config
"""
HOSTED_OPENAI_API_KEY: Optional[str] = Field(
description="API key for hosted OpenAI service",
description='',
default=None,
)
HOSTED_OPENAI_API_BASE: Optional[str] = Field(
description="Base URL for hosted OpenAI API",
description='',
default=None,
)
HOSTED_OPENAI_API_ORGANIZATION: Optional[str] = Field(
description="Organization ID for hosted OpenAI service",
description='',
default=None,
)
HOSTED_OPENAI_TRIAL_ENABLED: bool = Field(
description="Enable trial access to hosted OpenAI service",
description='',
default=False,
)
HOSTED_OPENAI_TRIAL_MODELS: str = Field(
description="Comma-separated list of available models for trial access",
default="gpt-3.5-turbo,"
"gpt-3.5-turbo-1106,"
"gpt-3.5-turbo-instruct,"
"gpt-3.5-turbo-16k,"
"gpt-3.5-turbo-16k-0613,"
"gpt-3.5-turbo-0613,"
"gpt-3.5-turbo-0125,"
"text-davinci-003",
description='',
default='gpt-3.5-turbo,'
'gpt-3.5-turbo-1106,'
'gpt-3.5-turbo-instruct,'
'gpt-3.5-turbo-16k,'
'gpt-3.5-turbo-16k-0613,'
'gpt-3.5-turbo-0613,'
'gpt-3.5-turbo-0125,'
'text-davinci-003',
)
HOSTED_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
description="Quota limit for hosted OpenAI service usage",
description='',
default=200,
)
HOSTED_OPENAI_PAID_ENABLED: bool = Field(
description="Enable paid access to hosted OpenAI service",
description='',
default=False,
)
HOSTED_OPENAI_PAID_MODELS: str = Field(
description="Comma-separated list of available models for paid access",
default="gpt-4,"
"gpt-4-turbo-preview,"
"gpt-4-turbo-2024-04-09,"
"gpt-4-1106-preview,"
"gpt-4-0125-preview,"
"gpt-3.5-turbo,"
"gpt-3.5-turbo-16k,"
"gpt-3.5-turbo-16k-0613,"
"gpt-3.5-turbo-1106,"
"gpt-3.5-turbo-0613,"
"gpt-3.5-turbo-0125,"
"gpt-3.5-turbo-instruct,"
"text-davinci-003",
description='',
default='gpt-4,'
'gpt-4-turbo-preview,'
'gpt-4-turbo-2024-04-09,'
'gpt-4-1106-preview,'
'gpt-4-0125-preview,'
'gpt-3.5-turbo,'
'gpt-3.5-turbo-16k,'
'gpt-3.5-turbo-16k-0613,'
'gpt-3.5-turbo-1106,'
'gpt-3.5-turbo-0613,'
'gpt-3.5-turbo-0125,'
'gpt-3.5-turbo-instruct,'
'text-davinci-003',
)
class HostedAzureOpenAiConfig(BaseSettings):
class HostedAzureOpenAiConfig(BaseModel):
"""
Configuration for hosted Azure OpenAI service
Hosted OpenAI service config
"""
HOSTED_AZURE_OPENAI_ENABLED: bool = Field(
description="Enable hosted Azure OpenAI service",
description='',
default=False,
)
HOSTED_AZURE_OPENAI_API_KEY: Optional[str] = Field(
description="API key for hosted Azure OpenAI service",
HOSTED_OPENAI_API_KEY: Optional[str] = Field(
description='',
default=None,
)
HOSTED_AZURE_OPENAI_API_BASE: Optional[str] = Field(
description="Base URL for hosted Azure OpenAI API",
description='',
default=None,
)
HOSTED_AZURE_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
description="Quota limit for hosted Azure OpenAI service usage",
description='',
default=200,
)
class HostedAnthropicConfig(BaseSettings):
class HostedAnthropicConfig(BaseModel):
"""
Configuration for hosted Anthropic service
Hosted Azure OpenAI service config
"""
HOSTED_ANTHROPIC_API_BASE: Optional[str] = Field(
description="Base URL for hosted Anthropic API",
description='',
default=None,
)
HOSTED_ANTHROPIC_API_KEY: Optional[str] = Field(
description="API key for hosted Anthropic service",
description='',
default=None,
)
HOSTED_ANTHROPIC_TRIAL_ENABLED: bool = Field(
description="Enable trial access to hosted Anthropic service",
description='',
default=False,
)
HOSTED_ANTHROPIC_QUOTA_LIMIT: NonNegativeInt = Field(
description="Quota limit for hosted Anthropic service usage",
description='',
default=600000,
)
HOSTED_ANTHROPIC_PAID_ENABLED: bool = Field(
description="Enable paid access to hosted Anthropic service",
description='',
default=False,
)
class HostedMinmaxConfig(BaseSettings):
class HostedMinmaxConfig(BaseModel):
"""
Configuration for hosted Minmax service
Hosted Minmax service config
"""
HOSTED_MINIMAX_ENABLED: bool = Field(
description="Enable hosted Minmax service",
description='',
default=False,
)
class HostedSparkConfig(BaseSettings):
class HostedSparkConfig(BaseModel):
"""
Configuration for hosted Spark service
Hosted Spark service config
"""
HOSTED_SPARK_ENABLED: bool = Field(
description="Enable hosted Spark service",
description='',
default=False,
)
class HostedZhipuAIConfig(BaseSettings):
class HostedZhipuAIConfig(BaseModel):
"""
Configuration for hosted ZhipuAI service
Hosted Minmax service config
"""
HOSTED_ZHIPUAI_ENABLED: bool = Field(
description="Enable hosted ZhipuAI service",
description='',
default=False,
)
class HostedModerationConfig(BaseSettings):
class HostedModerationConfig(BaseModel):
"""
Configuration for hosted Moderation service
Hosted Moderation service config
"""
HOSTED_MODERATION_ENABLED: bool = Field(
description="Enable hosted Moderation service",
description='',
default=False,
)
HOSTED_MODERATION_PROVIDERS: str = Field(
description="Comma-separated list of moderation providers",
default="",
description='',
default='',
)
class HostedFetchAppTemplateConfig(BaseSettings):
class HostedFetchAppTemplateConfig(BaseModel):
"""
Configuration for fetching app templates
Hosted Moderation service config
"""
HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field(
description="Mode for fetching app templates: remote, db, or builtin default to remote,",
default="remote",
description='the mode for fetching app templates,'
' default to remote,'
' available values: remote, db, builtin',
default='remote',
)
HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN: str = Field(
description="Domain for fetching remote app templates",
default="https://tmpl.dify.ai",
description='the domain for fetching remote app templates',
default='https://tmpl.dify.ai',
)
@@ -231,9 +201,8 @@ class HostedServiceConfig(
HostedOpenAiConfig,
HostedSparkConfig,
HostedZhipuAIConfig,
# moderation
HostedModerationConfig,
# credit config
HostedCreditConfig,
):
pass

View File

@@ -1,241 +1,157 @@
import os
from typing import Any, Literal, Optional
from urllib.parse import quote_plus
from typing import Any, Optional
from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, NonNegativeInt, PositiveInt, computed_field
from .cache.redis_config import RedisConfig
from .storage.aliyun_oss_storage_config import AliyunOSSStorageConfig
from .storage.amazon_s3_storage_config import S3StorageConfig
from .storage.azure_blob_storage_config import AzureBlobStorageConfig
from .storage.baidu_obs_storage_config import BaiduOBSStorageConfig
from .storage.google_cloud_storage_config import GoogleCloudStorageConfig
from .storage.huawei_obs_storage_config import HuaweiCloudOBSStorageConfig
from .storage.oci_storage_config import OCIStorageConfig
from .storage.opendal_storage_config import OpenDALStorageConfig
from .storage.supabase_storage_config import SupabaseStorageConfig
from .storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
from .storage.volcengine_tos_storage_config import VolcengineTOSStorageConfig
from .vdb.analyticdb_config import AnalyticdbConfig
from .vdb.baidu_vector_config import BaiduVectorDBConfig
from .vdb.chroma_config import ChromaConfig
from .vdb.couchbase_config import CouchbaseConfig
from .vdb.elasticsearch_config import ElasticsearchConfig
from .vdb.lindorm_config import LindormConfig
from .vdb.milvus_config import MilvusConfig
from .vdb.myscale_config import MyScaleConfig
from .vdb.oceanbase_config import OceanBaseVectorConfig
from .vdb.opensearch_config import OpenSearchConfig
from .vdb.oracle_config import OracleConfig
from .vdb.pgvector_config import PGVectorConfig
from .vdb.pgvectors_config import PGVectoRSConfig
from .vdb.qdrant_config import QdrantConfig
from .vdb.relyt_config import RelytConfig
from .vdb.tencent_vector_config import TencentVectorDBConfig
from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig
from .vdb.tidb_vector_config import TiDBVectorConfig
from .vdb.upstash_config import UpstashConfig
from .vdb.vikingdb_config import VikingDBConfig
from .vdb.weaviate_config import WeaviateConfig
from configs.middleware.cache.redis_config import RedisConfig
from configs.middleware.storage.aliyun_oss_storage_config import AliyunOSSStorageConfig
from configs.middleware.storage.amazon_s3_storage_config import S3StorageConfig
from configs.middleware.storage.azure_blob_storage_config import AzureBlobStorageConfig
from configs.middleware.storage.google_cloud_storage_config import GoogleCloudStorageConfig
from configs.middleware.storage.oci_storage_config import OCIStorageConfig
from configs.middleware.storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
from configs.middleware.vdb.chroma_config import ChromaConfig
from configs.middleware.vdb.milvus_config import MilvusConfig
from configs.middleware.vdb.opensearch_config import OpenSearchConfig
from configs.middleware.vdb.oracle_config import OracleConfig
from configs.middleware.vdb.pgvector_config import PGVectorConfig
from configs.middleware.vdb.pgvectors_config import PGVectoRSConfig
from configs.middleware.vdb.qdrant_config import QdrantConfig
from configs.middleware.vdb.relyt_config import RelytConfig
from configs.middleware.vdb.tencent_vector_config import TencentVectorDBConfig
from configs.middleware.vdb.tidb_vector_config import TiDBVectorConfig
from configs.middleware.vdb.weaviate_config import WeaviateConfig
class StorageConfig(BaseSettings):
STORAGE_TYPE: Literal[
"opendal",
"s3",
"aliyun-oss",
"azure-blob",
"baidu-obs",
"google-storage",
"huawei-obs",
"oci-storage",
"tencent-cos",
"volcengine-tos",
"supabase",
"local",
] = Field(
description="Type of storage to use."
" Options: 'opendal', '(deprecated) local', 's3', 'aliyun-oss', 'azure-blob', 'baidu-obs', 'google-storage', "
"'huawei-obs', 'oci-storage', 'tencent-cos', 'volcengine-tos', 'supabase'. Default is 'opendal'.",
default="opendal",
class StorageConfig(BaseModel):
STORAGE_TYPE: str = Field(
description='storage type,'
' default to `local`,'
' available values are `local`, `s3`, `azure-blob`, `aliyun-oss`, `google-storage`.',
default='local',
)
STORAGE_LOCAL_PATH: str = Field(
description="Path for local storage when STORAGE_TYPE is set to 'local'.",
default="storage",
deprecated=True,
description='local storage path',
default='storage',
)
class VectorStoreConfig(BaseSettings):
class VectorStoreConfig(BaseModel):
VECTOR_STORE: Optional[str] = Field(
description="Type of vector store to use for efficient similarity search."
" Set to None if not using a vector store.",
description='vector store type',
default=None,
)
VECTOR_STORE_WHITELIST_ENABLE: Optional[bool] = Field(
description="Enable whitelist for vector store.",
default=False,
)
class KeywordStoreConfig(BaseSettings):
class KeywordStoreConfig(BaseModel):
KEYWORD_STORE: str = Field(
description="Method for keyword extraction and storage."
" Default is 'jieba', a Chinese text segmentation library.",
default="jieba",
description='keyword store type',
default='jieba',
)
class DatabaseConfig(BaseSettings):
class DatabaseConfig:
DB_HOST: str = Field(
description="Hostname or IP address of the database server.",
default="localhost",
description='db host',
default='localhost',
)
DB_PORT: PositiveInt = Field(
description="Port number for database connection.",
description='db port',
default=5432,
)
DB_USERNAME: str = Field(
description="Username for database authentication.",
default="postgres",
description='db username',
default='postgres',
)
DB_PASSWORD: str = Field(
description="Password for database authentication.",
default="",
description='db password',
default='',
)
DB_DATABASE: str = Field(
description="Name of the database to connect to.",
default="dify",
description='db database',
default='dify',
)
DB_CHARSET: str = Field(
description="Character set for database connection.",
default="",
)
DB_EXTRAS: str = Field(
description="Additional database connection parameters. Example: 'keepalives_idle=60&keepalives=1'",
default="",
description='db charset',
default='',
)
SQLALCHEMY_DATABASE_URI_SCHEME: str = Field(
description="Database URI scheme for SQLAlchemy connection.",
default="postgresql",
description='db uri scheme',
default='postgresql',
)
@computed_field
@property
def SQLALCHEMY_DATABASE_URI(self) -> str:
db_extras = (
f"{self.DB_EXTRAS}&client_encoding={self.DB_CHARSET}" if self.DB_CHARSET else self.DB_EXTRAS
).strip("&")
db_extras = f"?{db_extras}" if db_extras else ""
return (
f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://"
f"{quote_plus(self.DB_USERNAME)}:{quote_plus(self.DB_PASSWORD)}@{self.DB_HOST}:{self.DB_PORT}/{self.DB_DATABASE}"
f"{db_extras}"
)
db_extras = f"?client_encoding={self.DB_CHARSET}" if self.DB_CHARSET else ""
return (f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://"
f"{self.DB_USERNAME}:{self.DB_PASSWORD}@{self.DB_HOST}:{self.DB_PORT}/{self.DB_DATABASE}"
f"{db_extras}")
SQLALCHEMY_POOL_SIZE: NonNegativeInt = Field(
description="Maximum number of database connections in the pool.",
description='pool size of SqlAlchemy',
default=30,
)
SQLALCHEMY_MAX_OVERFLOW: NonNegativeInt = Field(
description="Maximum number of connections that can be created beyond the pool_size.",
description='max overflows for SqlAlchemy',
default=10,
)
SQLALCHEMY_POOL_RECYCLE: NonNegativeInt = Field(
description="Number of seconds after which a connection is automatically recycled.",
description='SqlAlchemy pool recycle',
default=3600,
)
SQLALCHEMY_POOL_PRE_PING: bool = Field(
description="If True, enables connection pool pre-ping feature to check connections.",
description='whether to enable pool pre-ping in SqlAlchemy',
default=False,
)
SQLALCHEMY_ECHO: bool | str = Field(
description="If True, SQLAlchemy will log all SQL statements.",
SQLALCHEMY_ECHO: bool = Field(
description='whether to enable SqlAlchemy echo',
default=False,
)
RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
description="Number of processes for the retrieval service, default to CPU cores.",
default=os.cpu_count(),
)
@computed_field
@property
def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
return {
"pool_size": self.SQLALCHEMY_POOL_SIZE,
"max_overflow": self.SQLALCHEMY_MAX_OVERFLOW,
"pool_recycle": self.SQLALCHEMY_POOL_RECYCLE,
"pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING,
"connect_args": {"options": "-c timezone=UTC"},
'pool_size': self.SQLALCHEMY_POOL_SIZE,
'max_overflow': self.SQLALCHEMY_MAX_OVERFLOW,
'pool_recycle': self.SQLALCHEMY_POOL_RECYCLE,
'pool_pre_ping': self.SQLALCHEMY_POOL_PRE_PING,
'connect_args': {'options': '-c timezone=UTC'},
}
class CeleryConfig(DatabaseConfig):
CELERY_BACKEND: str = Field(
description="Backend for Celery task results. Options: 'database', 'redis'.",
default="database",
description='Celery backend, available values are `database`, `redis`',
default='database',
)
CELERY_BROKER_URL: Optional[str] = Field(
description="URL of the message broker for Celery tasks.",
description='CELERY_BROKER_URL',
default=None,
)
CELERY_USE_SENTINEL: Optional[bool] = Field(
description="Whether to use Redis Sentinel for high availability.",
default=False,
)
CELERY_SENTINEL_MASTER_NAME: Optional[str] = Field(
description="Name of the Redis Sentinel master.",
default=None,
)
CELERY_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
description="Timeout for Redis Sentinel socket operations in seconds.",
default=0.1,
)
@computed_field
@property
def CELERY_RESULT_BACKEND(self) -> str | None:
return (
"db+{}".format(self.SQLALCHEMY_DATABASE_URI)
if self.CELERY_BACKEND == "database"
else self.CELERY_BROKER_URL
)
return 'db+{}'.format(self.SQLALCHEMY_DATABASE_URI) \
if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
@computed_field
@property
def BROKER_USE_SSL(self) -> bool:
return self.CELERY_BROKER_URL.startswith("rediss://") if self.CELERY_BROKER_URL else False
class InternalTestConfig(BaseSettings):
"""
Configuration settings for Internal Test
"""
AWS_SECRET_ACCESS_KEY: Optional[str] = Field(
description="Internal test AWS secret access key",
default=None,
)
AWS_ACCESS_KEY_ID: Optional[str] = Field(
description="Internal test AWS access key ID",
default=None,
)
return self.CELERY_BROKER_URL.startswith('rediss://') if self.CELERY_BROKER_URL else False
class MiddlewareConfig(
@@ -244,25 +160,20 @@ class MiddlewareConfig(
DatabaseConfig,
KeywordStoreConfig,
RedisConfig,
# configs of storage and storage providers
StorageConfig,
AliyunOSSStorageConfig,
AzureBlobStorageConfig,
BaiduOBSStorageConfig,
GoogleCloudStorageConfig,
HuaweiCloudOBSStorageConfig,
OCIStorageConfig,
OpenDALStorageConfig,
S3StorageConfig,
SupabaseStorageConfig,
TencentCloudCOSStorageConfig,
VolcengineTOSStorageConfig,
S3StorageConfig,
OCIStorageConfig,
# configs of vdb and vdb providers
VectorStoreConfig,
AnalyticdbConfig,
ChromaConfig,
MilvusConfig,
MyScaleConfig,
OpenSearchConfig,
OracleConfig,
PGVectorConfig,
@@ -272,14 +183,5 @@ class MiddlewareConfig(
TencentVectorDBConfig,
TiDBVectorConfig,
WeaviateConfig,
ElasticsearchConfig,
CouchbaseConfig,
InternalTestConfig,
VikingDBConfig,
UpstashConfig,
TidbOnQdrantConfig,
LindormConfig,
OceanBaseVectorConfig,
BaiduVectorDBConfig,
):
pass

View File

@@ -1,85 +1,38 @@
from typing import Optional
from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, NonNegativeInt, PositiveInt
class RedisConfig(BaseSettings):
class RedisConfig(BaseModel):
"""
Configuration settings for Redis connection
Redis configs
"""
REDIS_HOST: str = Field(
description="Hostname or IP address of the Redis server",
default="localhost",
description='Redis host',
default='localhost',
)
REDIS_PORT: PositiveInt = Field(
description="Port number on which the Redis server is listening",
description='Redis port',
default=6379,
)
REDIS_USERNAME: Optional[str] = Field(
description="Username for Redis authentication (if required)",
description='Redis username',
default=None,
)
REDIS_PASSWORD: Optional[str] = Field(
description="Password for Redis authentication (if required)",
description='Redis password',
default=None,
)
REDIS_DB: NonNegativeInt = Field(
description="Redis database number to use (0-15)",
description='Redis database id, default to 0',
default=0,
)
REDIS_USE_SSL: bool = Field(
description="Enable SSL/TLS for the Redis connection",
description='whether to use SSL for Redis connection',
default=False,
)
REDIS_USE_SENTINEL: Optional[bool] = Field(
description="Enable Redis Sentinel mode for high availability",
default=False,
)
REDIS_SENTINELS: Optional[str] = Field(
description="Comma-separated list of Redis Sentinel nodes (host:port)",
default=None,
)
REDIS_SENTINEL_SERVICE_NAME: Optional[str] = Field(
description="Name of the Redis Sentinel service to monitor",
default=None,
)
REDIS_SENTINEL_USERNAME: Optional[str] = Field(
description="Username for Redis Sentinel authentication (if required)",
default=None,
)
REDIS_SENTINEL_PASSWORD: Optional[str] = Field(
description="Password for Redis Sentinel authentication (if required)",
default=None,
)
REDIS_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
description="Socket timeout in seconds for Redis Sentinel connections",
default=0.1,
)
REDIS_USE_CLUSTERS: bool = Field(
description="Enable Redis Clusters mode for high availability",
default=False,
)
REDIS_CLUSTERS: Optional[str] = Field(
description="Comma-separated list of Redis Clusters nodes (host:port)",
default=None,
)
REDIS_CLUSTERS_PASSWORD: Optional[str] = Field(
description="Password for Redis Clusters authentication (if required)",
default=None,
)

View File

@@ -1,45 +1,39 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class AliyunOSSStorageConfig(BaseSettings):
class AliyunOSSStorageConfig(BaseModel):
"""
Configuration settings for Aliyun Object Storage Service (OSS)
Aliyun storage configs
"""
ALIYUN_OSS_BUCKET_NAME: Optional[str] = Field(
description="Name of the Aliyun OSS bucket to store and retrieve objects",
description='Aliyun OSS bucket name',
default=None,
)
ALIYUN_OSS_ACCESS_KEY: Optional[str] = Field(
description="Access key ID for authenticating with Aliyun OSS",
description='Aliyun OSS access key',
default=None,
)
ALIYUN_OSS_SECRET_KEY: Optional[str] = Field(
description="Secret access key for authenticating with Aliyun OSS",
description='Aliyun OSS secret key',
default=None,
)
ALIYUN_OSS_ENDPOINT: Optional[str] = Field(
description="URL of the Aliyun OSS endpoint for your chosen region",
description='Aliyun OSS endpoint URL',
default=None,
)
ALIYUN_OSS_REGION: Optional[str] = Field(
description="Aliyun OSS region where your bucket is located (e.g., 'oss-cn-hangzhou')",
description='Aliyun OSS region',
default=None,
)
ALIYUN_OSS_AUTH_VERSION: Optional[str] = Field(
description="Version of the authentication protocol to use with Aliyun OSS (e.g., 'v4')",
default=None,
)
ALIYUN_OSS_PATH: Optional[str] = Field(
description="Base path within the bucket to store objects (e.g., 'my-app-data/')",
description='Aliyun OSS authentication version',
default=None,
)

View File

@@ -1,45 +1,44 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class S3StorageConfig(BaseSettings):
class S3StorageConfig(BaseModel):
"""
Configuration settings for S3-compatible object storage
S3 storage configs
"""
S3_ENDPOINT: Optional[str] = Field(
description="URL of the S3-compatible storage endpoint (e.g., 'https://s3.amazonaws.com')",
description='S3 storage endpoint',
default=None,
)
S3_REGION: Optional[str] = Field(
description="Region where the S3 bucket is located (e.g., 'us-east-1')",
description='S3 storage region',
default=None,
)
S3_BUCKET_NAME: Optional[str] = Field(
description="Name of the S3 bucket to store and retrieve objects",
description='S3 storage bucket name',
default=None,
)
S3_ACCESS_KEY: Optional[str] = Field(
description="Access key ID for authenticating with the S3 service",
description='S3 storage access key',
default=None,
)
S3_SECRET_KEY: Optional[str] = Field(
description="Secret access key for authenticating with the S3 service",
description='S3 storage secret key',
default=None,
)
S3_ADDRESS_STYLE: str = Field(
description="S3 addressing style: 'auto', 'path', or 'virtual'",
default="auto",
description='S3 storage address style',
default='auto',
)
S3_USE_AWS_MANAGED_IAM: bool = Field(
description="Use AWS managed IAM roles for authentication instead of access/secret keys",
description='whether to use aws managed IAM for S3',
default=False,
)

View File

@@ -1,30 +1,29 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class AzureBlobStorageConfig(BaseSettings):
class AzureBlobStorageConfig(BaseModel):
"""
Configuration settings for Azure Blob Storage
Azure Blob storage configs
"""
AZURE_BLOB_ACCOUNT_NAME: Optional[str] = Field(
description="Name of the Azure Storage account (e.g., 'mystorageaccount')",
description='Azure Blob account name',
default=None,
)
AZURE_BLOB_ACCOUNT_KEY: Optional[str] = Field(
description="Access key for authenticating with the Azure Storage account",
description='Azure Blob account key',
default=None,
)
AZURE_BLOB_CONTAINER_NAME: Optional[str] = Field(
description="Name of the Azure Blob container to store and retrieve objects",
description='Azure Blob container name',
default=None,
)
AZURE_BLOB_ACCOUNT_URL: Optional[str] = Field(
description="URL of the Azure Blob storage endpoint (e.g., 'https://mystorageaccount.blob.core.windows.net')",
description='Azure Blob account URL',
default=None,
)

View File

@@ -1,30 +0,0 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class BaiduOBSStorageConfig(BaseSettings):
"""
Configuration settings for Baidu Object Storage Service (OBS)
"""
BAIDU_OBS_BUCKET_NAME: Optional[str] = Field(
description="Name of the Baidu OBS bucket to store and retrieve objects (e.g., 'my-obs-bucket')",
default=None,
)
BAIDU_OBS_ACCESS_KEY: Optional[str] = Field(
description="Access Key ID for authenticating with Baidu OBS",
default=None,
)
BAIDU_OBS_SECRET_KEY: Optional[str] = Field(
description="Secret Access Key for authenticating with Baidu OBS",
default=None,
)
BAIDU_OBS_ENDPOINT: Optional[str] = Field(
description="URL of the Baidu OSS endpoint for your chosen region (e.g., 'https://.bj.bcebos.com')",
default=None,
)

View File

@@ -1,20 +1,19 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class GoogleCloudStorageConfig(BaseSettings):
class GoogleCloudStorageConfig(BaseModel):
"""
Configuration settings for Google Cloud Storage
Google Cloud storage configs
"""
GOOGLE_STORAGE_BUCKET_NAME: Optional[str] = Field(
description="Name of the Google Cloud Storage bucket to store and retrieve objects (e.g., 'my-gcs-bucket')",
description='Google Cloud storage bucket name',
default=None,
)
GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: Optional[str] = Field(
description="Base64-encoded JSON key file for Google Cloud service account authentication",
description='Google Cloud storage service account json base64',
default=None,
)

View File

@@ -1,30 +0,0 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class HuaweiCloudOBSStorageConfig(BaseSettings):
"""
Configuration settings for Huawei Cloud Object Storage Service (OBS)
"""
HUAWEI_OBS_BUCKET_NAME: Optional[str] = Field(
description="Name of the Huawei Cloud OBS bucket to store and retrieve objects (e.g., 'my-obs-bucket')",
default=None,
)
HUAWEI_OBS_ACCESS_KEY: Optional[str] = Field(
description="Access Key ID for authenticating with Huawei Cloud OBS",
default=None,
)
HUAWEI_OBS_SECRET_KEY: Optional[str] = Field(
description="Secret Access Key for authenticating with Huawei Cloud OBS",
default=None,
)
HUAWEI_OBS_SERVER: Optional[str] = Field(
description="Endpoint URL for Huawei Cloud OBS (e.g., 'https://obs.cn-north-4.myhuaweicloud.com')",
default=None,
)

View File

@@ -1,35 +1,35 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class OCIStorageConfig(BaseSettings):
class OCIStorageConfig(BaseModel):
"""
Configuration settings for Oracle Cloud Infrastructure (OCI) Object Storage
OCI storage configs
"""
OCI_ENDPOINT: Optional[str] = Field(
description="URL of the OCI Object Storage endpoint (e.g., 'https://objectstorage.us-phoenix-1.oraclecloud.com')",
description='OCI storage endpoint',
default=None,
)
OCI_REGION: Optional[str] = Field(
description="OCI region where the bucket is located (e.g., 'us-phoenix-1')",
description='OCI storage region',
default=None,
)
OCI_BUCKET_NAME: Optional[str] = Field(
description="Name of the OCI Object Storage bucket to store and retrieve objects (e.g., 'my-oci-bucket')",
description='OCI storage bucket name',
default=None,
)
OCI_ACCESS_KEY: Optional[str] = Field(
description="Access key (also known as API key) for authenticating with OCI Object Storage",
description='OCI storage access key',
default=None,
)
OCI_SECRET_KEY: Optional[str] = Field(
description="Secret key associated with the access key for authenticating with OCI Object Storage",
description='OCI storage secret key',
default=None,
)

View File

@@ -1,9 +0,0 @@
from pydantic import Field
from pydantic_settings import BaseSettings
class OpenDALStorageConfig(BaseSettings):
OPENDAL_SCHEME: str = Field(
default="fs",
description="OpenDAL scheme.",
)

View File

@@ -1,25 +0,0 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class SupabaseStorageConfig(BaseSettings):
"""
Configuration settings for Supabase Object Storage Service
"""
SUPABASE_BUCKET_NAME: Optional[str] = Field(
description="Name of the Supabase bucket to store and retrieve objects (e.g., 'dify-bucket')",
default=None,
)
SUPABASE_API_KEY: Optional[str] = Field(
description="API KEY for authenticating with Supabase",
default=None,
)
SUPABASE_URL: Optional[str] = Field(
description="URL of the Supabase",
default=None,
)

View File

@@ -1,35 +1,34 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class TencentCloudCOSStorageConfig(BaseSettings):
class TencentCloudCOSStorageConfig(BaseModel):
"""
Configuration settings for Tencent Cloud Object Storage (COS)
Tencent Cloud COS storage configs
"""
TENCENT_COS_BUCKET_NAME: Optional[str] = Field(
description="Name of the Tencent Cloud COS bucket to store and retrieve objects",
description='Tencent Cloud COS bucket name',
default=None,
)
TENCENT_COS_REGION: Optional[str] = Field(
description="Tencent Cloud region where the COS bucket is located (e.g., 'ap-guangzhou')",
description='Tencent Cloud COS region',
default=None,
)
TENCENT_COS_SECRET_ID: Optional[str] = Field(
description="SecretId for authenticating with Tencent Cloud COS (part of API credentials)",
description='Tencent Cloud COS secret id',
default=None,
)
TENCENT_COS_SECRET_KEY: Optional[str] = Field(
description="SecretKey for authenticating with Tencent Cloud COS (part of API credentials)",
description='Tencent Cloud COS secret key',
default=None,
)
TENCENT_COS_SCHEME: Optional[str] = Field(
description="Protocol scheme for COS requests: 'https' (recommended) or 'http'",
description='Tencent Cloud COS scheme',
default=None,
)

View File

@@ -1,35 +0,0 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class VolcengineTOSStorageConfig(BaseSettings):
"""
Configuration settings for Volcengine Tinder Object Storage (TOS)
"""
VOLCENGINE_TOS_BUCKET_NAME: Optional[str] = Field(
description="Name of the Volcengine TOS bucket to store and retrieve objects (e.g., 'my-tos-bucket')",
default=None,
)
VOLCENGINE_TOS_ACCESS_KEY: Optional[str] = Field(
description="Access Key ID for authenticating with Volcengine TOS",
default=None,
)
VOLCENGINE_TOS_SECRET_KEY: Optional[str] = Field(
description="Secret Access Key for authenticating with Volcengine TOS",
default=None,
)
VOLCENGINE_TOS_ENDPOINT: Optional[str] = Field(
description="URL of the Volcengine TOS endpoint (e.g., 'https://tos-cn-beijing.volces.com')",
default=None,
)
VOLCENGINE_TOS_REGION: Optional[str] = Field(
description="Volcengine region where the TOS bucket is located (e.g., 'cn-beijing')",
default=None,
)

View File

@@ -1,51 +0,0 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class AnalyticdbConfig(BaseSettings):
"""
Configuration for connecting to Alibaba Cloud AnalyticDB for PostgreSQL.
Refer to the following documentation for details on obtaining credentials:
https://www.alibabacloud.com/help/en/analyticdb-for-postgresql/getting-started/create-an-instance-instances-with-vector-engine-optimization-enabled
"""
ANALYTICDB_KEY_ID: Optional[str] = Field(
default=None, description="The Access Key ID provided by Alibaba Cloud for API authentication."
)
ANALYTICDB_KEY_SECRET: Optional[str] = Field(
default=None, description="The Secret Access Key corresponding to the Access Key ID for secure API access."
)
ANALYTICDB_REGION_ID: Optional[str] = Field(
default=None,
description="The region where the AnalyticDB instance is deployed (e.g., 'cn-hangzhou', 'ap-southeast-1').",
)
ANALYTICDB_INSTANCE_ID: Optional[str] = Field(
default=None,
description="The unique identifier of the AnalyticDB instance you want to connect to.",
)
ANALYTICDB_ACCOUNT: Optional[str] = Field(
default=None,
description="The account name used to log in to the AnalyticDB instance"
" (usually the initial account created with the instance).",
)
ANALYTICDB_PASSWORD: Optional[str] = Field(
default=None, description="The password associated with the AnalyticDB account for database authentication."
)
ANALYTICDB_NAMESPACE: Optional[str] = Field(
default=None, description="The namespace within AnalyticDB for schema isolation (if using namespace feature)."
)
ANALYTICDB_NAMESPACE_PASSWORD: Optional[str] = Field(
default=None,
description="The password for accessing the specified namespace within the AnalyticDB instance"
" (if namespace feature is enabled).",
)
ANALYTICDB_HOST: Optional[str] = Field(
default=None, description="The host of the AnalyticDB instance you want to connect to."
)
ANALYTICDB_PORT: PositiveInt = Field(
default=5432, description="The port of the AnalyticDB instance you want to connect to."
)
ANALYTICDB_MIN_CONNECTION: PositiveInt = Field(default=1, description="Min connection of the AnalyticDB database.")
ANALYTICDB_MAX_CONNECTION: PositiveInt = Field(default=5, description="Max connection of the AnalyticDB database.")

View File

@@ -1,45 +0,0 @@
from typing import Optional
from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
class BaiduVectorDBConfig(BaseSettings):
"""
Configuration settings for Baidu Vector Database
"""
BAIDU_VECTOR_DB_ENDPOINT: Optional[str] = Field(
description="URL of the Baidu Vector Database service (e.g., 'http://vdb.bj.baidubce.com')",
default=None,
)
BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS: PositiveInt = Field(
description="Timeout in milliseconds for Baidu Vector Database operations (default is 30000 milliseconds)",
default=30000,
)
BAIDU_VECTOR_DB_ACCOUNT: Optional[str] = Field(
description="Account for authenticating with the Baidu Vector Database",
default=None,
)
BAIDU_VECTOR_DB_API_KEY: Optional[str] = Field(
description="API key for authenticating with the Baidu Vector Database service",
default=None,
)
BAIDU_VECTOR_DB_DATABASE: Optional[str] = Field(
description="Name of the specific Baidu Vector Database to connect to",
default=None,
)
BAIDU_VECTOR_DB_SHARD: PositiveInt = Field(
description="Number of shards for the Baidu Vector Database (default is 1)",
default=1,
)
BAIDU_VECTOR_DB_REPLICAS: NonNegativeInt = Field(
description="Number of replicas for the Baidu Vector Database (default is 3)",
default=3,
)

View File

@@ -1,40 +1,39 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class ChromaConfig(BaseSettings):
class ChromaConfig(BaseModel):
"""
Configuration settings for Chroma vector database
Chroma configs
"""
CHROMA_HOST: Optional[str] = Field(
description="Hostname or IP address of the Chroma server (e.g., 'localhost' or '192.168.1.100')",
description='Chroma host',
default=None,
)
CHROMA_PORT: PositiveInt = Field(
description="Port number on which the Chroma server is listening (default is 8000)",
description='Chroma port',
default=8000,
)
CHROMA_TENANT: Optional[str] = Field(
description="Tenant identifier for multi-tenancy support in Chroma",
description='Chroma database',
default=None,
)
CHROMA_DATABASE: Optional[str] = Field(
description="Name of the Chroma database to connect to",
description='Chroma database',
default=None,
)
CHROMA_AUTH_PROVIDER: Optional[str] = Field(
description="Authentication provider for Chroma (e.g., 'basic', 'token', or a custom provider)",
description='Chroma authentication provider',
default=None,
)
CHROMA_AUTH_CREDENTIALS: Optional[str] = Field(
description="Authentication credentials for Chroma (format depends on the auth provider)",
description='Chroma authentication credentials',
default=None,
)

View File

@@ -1,35 +0,0 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class CouchbaseConfig(BaseSettings):
"""
Couchbase configs
"""
COUCHBASE_CONNECTION_STRING: Optional[str] = Field(
description="COUCHBASE connection string",
default=None,
)
COUCHBASE_USER: Optional[str] = Field(
description="COUCHBASE user",
default=None,
)
COUCHBASE_PASSWORD: Optional[str] = Field(
description="COUCHBASE password",
default=None,
)
COUCHBASE_BUCKET_NAME: Optional[str] = Field(
description="COUCHBASE bucket name",
default=None,
)
COUCHBASE_SCOPE_NAME: Optional[str] = Field(
description="COUCHBASE scope name",
default=None,
)

View File

@@ -1,30 +0,0 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class ElasticsearchConfig(BaseSettings):
"""
Configuration settings for Elasticsearch
"""
ELASTICSEARCH_HOST: Optional[str] = Field(
description="Hostname or IP address of the Elasticsearch server (e.g., 'localhost' or '192.168.1.100')",
default="127.0.0.1",
)
ELASTICSEARCH_PORT: PositiveInt = Field(
description="Port number on which the Elasticsearch server is listening (default is 9200)",
default=9200,
)
ELASTICSEARCH_USERNAME: Optional[str] = Field(
description="Username for authenticating with Elasticsearch (default is 'elastic')",
default="elastic",
)
ELASTICSEARCH_PASSWORD: Optional[str] = Field(
description="Password for authenticating with Elasticsearch (default is 'elastic')",
default="elastic",
)

View File

@@ -1,34 +0,0 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class LindormConfig(BaseSettings):
"""
Lindorm configs
"""
LINDORM_URL: Optional[str] = Field(
description="Lindorm url",
default=None,
)
LINDORM_USERNAME: Optional[str] = Field(
description="Lindorm user",
default=None,
)
LINDORM_PASSWORD: Optional[str] = Field(
description="Lindorm password",
default=None,
)
DEFAULT_INDEX_TYPE: Optional[str] = Field(
description="Lindorm Vector Index Type, hnsw or flat is available in dify",
default="hnsw",
)
DEFAULT_DISTANCE_TYPE: Optional[str] = Field(
description="Vector Distance Type, support l2, cosinesimil, innerproduct", default="l2"
)
USING_UGC_INDEX: Optional[bool] = Field(
description="Using UGC index will store the same type of Index in a single index but can retrieve separately.",
default=False,
)

View File

@@ -1,41 +1,39 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class MilvusConfig(BaseSettings):
class MilvusConfig(BaseModel):
"""
Configuration settings for Milvus vector database
Milvus configs
"""
MILVUS_URI: Optional[str] = Field(
description="URI for connecting to the Milvus server (e.g., 'http://localhost:19530' or 'https://milvus-instance.example.com:19530')",
default="http://127.0.0.1:19530",
)
MILVUS_TOKEN: Optional[str] = Field(
description="Authentication token for Milvus, if token-based authentication is enabled",
MILVUS_HOST: Optional[str] = Field(
description='Milvus host',
default=None,
)
MILVUS_PORT: PositiveInt = Field(
description='Milvus RestFul API port',
default=9091,
)
MILVUS_USER: Optional[str] = Field(
description="Username for authenticating with Milvus, if username/password authentication is enabled",
description='Milvus user',
default=None,
)
MILVUS_PASSWORD: Optional[str] = Field(
description="Password for authenticating with Milvus, if username/password authentication is enabled",
description='Milvus password',
default=None,
)
MILVUS_DATABASE: str = Field(
description="Name of the Milvus database to connect to (default is 'default')",
default="default",
MILVUS_SECURE: bool = Field(
description='whether to use SSL connection for Milvus',
default=False,
)
MILVUS_ENABLE_HYBRID_SEARCH: bool = Field(
description="Enable hybrid search features (requires Milvus >= 2.5.0). Set to false for compatibility with "
"older versions",
default=True,
MILVUS_DATABASE: str = Field(
description='Milvus database, default to `default`',
default='default',
)

View File

@@ -1,38 +0,0 @@
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class MyScaleConfig(BaseSettings):
"""
Configuration settings for MyScale vector database
"""
MYSCALE_HOST: str = Field(
description="Hostname or IP address of the MyScale server (e.g., 'localhost' or 'myscale.example.com')",
default="localhost",
)
MYSCALE_PORT: PositiveInt = Field(
description="Port number on which the MyScale server is listening (default is 8123)",
default=8123,
)
MYSCALE_USER: str = Field(
description="Username for authenticating with MyScale (default is 'default')",
default="default",
)
MYSCALE_PASSWORD: str = Field(
description="Password for authenticating with MyScale (default is an empty string)",
default="",
)
MYSCALE_DATABASE: str = Field(
description="Name of the MyScale database to connect to (default is 'default')",
default="default",
)
MYSCALE_FTS_PARAMS: str = Field(
description="Additional parameters for MyScale Full Text Search index)",
default="",
)

View File

@@ -1,35 +0,0 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class OceanBaseVectorConfig(BaseSettings):
"""
Configuration settings for OceanBase Vector database
"""
OCEANBASE_VECTOR_HOST: Optional[str] = Field(
description="Hostname or IP address of the OceanBase Vector server (e.g. 'localhost')",
default=None,
)
OCEANBASE_VECTOR_PORT: Optional[PositiveInt] = Field(
description="Port number on which the OceanBase Vector server is listening (default is 2881)",
default=2881,
)
OCEANBASE_VECTOR_USER: Optional[str] = Field(
description="Username for authenticating with the OceanBase Vector database",
default=None,
)
OCEANBASE_VECTOR_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the OceanBase Vector database",
default=None,
)
OCEANBASE_VECTOR_DATABASE: Optional[str] = Field(
description="Name of the OceanBase Vector database to connect to",
default=None,
)

View File

@@ -1,35 +1,34 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class OpenSearchConfig(BaseSettings):
class OpenSearchConfig(BaseModel):
"""
Configuration settings for OpenSearch
OpenSearch configs
"""
OPENSEARCH_HOST: Optional[str] = Field(
description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')",
description='OpenSearch host',
default=None,
)
OPENSEARCH_PORT: PositiveInt = Field(
description="Port number on which the OpenSearch server is listening (default is 9200)",
description='OpenSearch port',
default=9200,
)
OPENSEARCH_USER: Optional[str] = Field(
description="Username for authenticating with OpenSearch",
description='OpenSearch user',
default=None,
)
OPENSEARCH_PASSWORD: Optional[str] = Field(
description="Password for authenticating with OpenSearch",
description='OpenSearch password',
default=None,
)
OPENSEARCH_SECURE: bool = Field(
description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)",
description='whether to use SSL connection for OpenSearch',
default=False,
)

View File

@@ -1,35 +1,34 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class OracleConfig(BaseSettings):
class OracleConfig(BaseModel):
"""
Configuration settings for Oracle database
ORACLE configs
"""
ORACLE_HOST: Optional[str] = Field(
description="Hostname or IP address of the Oracle database server (e.g., 'localhost' or 'oracle.example.com')",
description='ORACLE host',
default=None,
)
ORACLE_PORT: PositiveInt = Field(
description="Port number on which the Oracle database server is listening (default is 1521)",
ORACLE_PORT: Optional[PositiveInt] = Field(
description='ORACLE port',
default=1521,
)
ORACLE_USER: Optional[str] = Field(
description="Username for authenticating with the Oracle database",
description='ORACLE user',
default=None,
)
ORACLE_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the Oracle database",
description='ORACLE password',
default=None,
)
ORACLE_DATABASE: Optional[str] = Field(
description="Name of the Oracle database or service to connect to (e.g., 'ORCL' or 'pdborcl')",
description='ORACLE database',
default=None,
)

View File

@@ -1,45 +1,34 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class PGVectorConfig(BaseSettings):
class PGVectorConfig(BaseModel):
"""
Configuration settings for PGVector (PostgreSQL with vector extension)
PGVector configs
"""
PGVECTOR_HOST: Optional[str] = Field(
description="Hostname or IP address of the PostgreSQL server with PGVector extension (e.g., 'localhost')",
description='PGVector host',
default=None,
)
PGVECTOR_PORT: PositiveInt = Field(
description="Port number on which the PostgreSQL server is listening (default is 5433)",
PGVECTOR_PORT: Optional[PositiveInt] = Field(
description='PGVector port',
default=5433,
)
PGVECTOR_USER: Optional[str] = Field(
description="Username for authenticating with the PostgreSQL database",
description='PGVector user',
default=None,
)
PGVECTOR_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the PostgreSQL database",
description='PGVector password',
default=None,
)
PGVECTOR_DATABASE: Optional[str] = Field(
description="Name of the PostgreSQL database to connect to",
description='PGVector database',
default=None,
)
PGVECTOR_MIN_CONNECTION: PositiveInt = Field(
description="Min connection of the PostgreSQL database",
default=1,
)
PGVECTOR_MAX_CONNECTION: PositiveInt = Field(
description="Max connection of the PostgreSQL database",
default=5,
)

View File

@@ -1,35 +1,34 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class PGVectoRSConfig(BaseSettings):
class PGVectoRSConfig(BaseModel):
"""
Configuration settings for PGVecto.RS (Rust-based vector extension for PostgreSQL)
PGVectoRS configs
"""
PGVECTO_RS_HOST: Optional[str] = Field(
description="Hostname or IP address of the PostgreSQL server with PGVecto.RS extension (e.g., 'localhost')",
description='PGVectoRS host',
default=None,
)
PGVECTO_RS_PORT: PositiveInt = Field(
description="Port number on which the PostgreSQL server with PGVecto.RS is listening (default is 5431)",
PGVECTO_RS_PORT: Optional[PositiveInt] = Field(
description='PGVectoRS port',
default=5431,
)
PGVECTO_RS_USER: Optional[str] = Field(
description="Username for authenticating with the PostgreSQL database using PGVecto.RS",
description='PGVectoRS user',
default=None,
)
PGVECTO_RS_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the PostgreSQL database using PGVecto.RS",
description='PGVectoRS password',
default=None,
)
PGVECTO_RS_DATABASE: Optional[str] = Field(
description="Name of the PostgreSQL database with PGVecto.RS extension to connect to",
description='PGVectoRS database',
default=None,
)

View File

@@ -1,35 +1,34 @@
from typing import Optional
from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, NonNegativeInt, PositiveInt
class QdrantConfig(BaseSettings):
class QdrantConfig(BaseModel):
"""
Configuration settings for Qdrant vector database
Qdrant configs
"""
QDRANT_URL: Optional[str] = Field(
description="URL of the Qdrant server (e.g., 'http://localhost:6333' or 'https://qdrant.example.com')",
description='Qdrant url',
default=None,
)
QDRANT_API_KEY: Optional[str] = Field(
description="API key for authenticating with the Qdrant server",
description='Qdrant api key',
default=None,
)
QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field(
description="Timeout in seconds for Qdrant client operations (default is 20 seconds)",
description='Qdrant client timeout in seconds',
default=20,
)
QDRANT_GRPC_ENABLED: bool = Field(
description="Whether to enable gRPC support for Qdrant connection (True for gRPC, False for HTTP)",
description='whether enable grpc support for Qdrant connection',
default=False,
)
QDRANT_GRPC_PORT: PositiveInt = Field(
description="Port number for gRPC connection to Qdrant server (default is 6334)",
description='Qdrant grpc port',
default=6334,
)

View File

@@ -1,35 +1,34 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class RelytConfig(BaseSettings):
class RelytConfig(BaseModel):
"""
Configuration settings for Relyt database
Relyt configs
"""
RELYT_HOST: Optional[str] = Field(
description="Hostname or IP address of the Relyt server (e.g., 'localhost' or 'relyt.example.com')",
description='Relyt host',
default=None,
)
RELYT_PORT: PositiveInt = Field(
description="Port number on which the Relyt server is listening (default is 9200)",
description='Relyt port',
default=9200,
)
RELYT_USER: Optional[str] = Field(
description="Username for authenticating with the Relyt database",
description='Relyt user',
default=None,
)
RELYT_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the Relyt database",
description='Relyt password',
default=None,
)
RELYT_DATABASE: Optional[str] = Field(
description="Name of the Relyt database to connect to (default is 'default')",
default="default",
description='Relyt database',
default='default',
)

View File

@@ -1,50 +1,44 @@
from typing import Optional
from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class TencentVectorDBConfig(BaseSettings):
class TencentVectorDBConfig(BaseModel):
"""
Configuration settings for Tencent Vector Database
Tencent Vector configs
"""
TENCENT_VECTOR_DB_URL: Optional[str] = Field(
description="URL of the Tencent Vector Database service (e.g., 'https://vectordb.tencentcloudapi.com')",
description='Tencent Vector URL',
default=None,
)
TENCENT_VECTOR_DB_API_KEY: Optional[str] = Field(
description="API key for authenticating with the Tencent Vector Database service",
description='Tencent Vector API key',
default=None,
)
TENCENT_VECTOR_DB_TIMEOUT: PositiveInt = Field(
description="Timeout in seconds for Tencent Vector Database operations (default is 30 seconds)",
description='Tencent Vector timeout in seconds',
default=30,
)
TENCENT_VECTOR_DB_USERNAME: Optional[str] = Field(
description="Username for authenticating with the Tencent Vector Database (if required)",
description='Tencent Vector password',
default=None,
)
TENCENT_VECTOR_DB_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the Tencent Vector Database (if required)",
description='Tencent Vector password',
default=None,
)
TENCENT_VECTOR_DB_SHARD: PositiveInt = Field(
description="Number of shards for the Tencent Vector Database (default is 1)",
description='Tencent Vector sharding number',
default=1,
)
TENCENT_VECTOR_DB_REPLICAS: NonNegativeInt = Field(
description="Number of replicas for the Tencent Vector Database (default is 2)",
TENCENT_VECTOR_DB_REPLICAS: PositiveInt = Field(
description='Tencent Vector replicas',
default=2,
)
TENCENT_VECTOR_DB_DATABASE: Optional[str] = Field(
description="Name of the specific Tencent Vector Database to connect to",
default=None,
)

View File

@@ -1,70 +0,0 @@
from typing import Optional
from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
class TidbOnQdrantConfig(BaseSettings):
"""
Tidb on Qdrant configs
"""
TIDB_ON_QDRANT_URL: Optional[str] = Field(
description="Tidb on Qdrant url",
default=None,
)
TIDB_ON_QDRANT_API_KEY: Optional[str] = Field(
description="Tidb on Qdrant api key",
default=None,
)
TIDB_ON_QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field(
description="Tidb on Qdrant client timeout in seconds",
default=20,
)
TIDB_ON_QDRANT_GRPC_ENABLED: bool = Field(
description="whether enable grpc support for Tidb on Qdrant connection",
default=False,
)
TIDB_ON_QDRANT_GRPC_PORT: PositiveInt = Field(
description="Tidb on Qdrant grpc port",
default=6334,
)
TIDB_PUBLIC_KEY: Optional[str] = Field(
description="Tidb account public key",
default=None,
)
TIDB_PRIVATE_KEY: Optional[str] = Field(
description="Tidb account private key",
default=None,
)
TIDB_API_URL: Optional[str] = Field(
description="Tidb API url",
default=None,
)
TIDB_IAM_API_URL: Optional[str] = Field(
description="Tidb IAM API url",
default=None,
)
TIDB_REGION: Optional[str] = Field(
description="Tidb serverless region",
default="regions/aws-us-east-1",
)
TIDB_PROJECT_ID: Optional[str] = Field(
description="Tidb project id",
default=None,
)
TIDB_SPEND_LIMIT: Optional[int] = Field(
description="Tidb spend limit",
default=100,
)

View File

@@ -1,35 +1,34 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class TiDBVectorConfig(BaseSettings):
class TiDBVectorConfig(BaseModel):
"""
Configuration settings for TiDB Vector database
TiDB Vector configs
"""
TIDB_VECTOR_HOST: Optional[str] = Field(
description="Hostname or IP address of the TiDB Vector server (e.g., 'localhost' or 'tidb.example.com')",
description='TiDB Vector host',
default=None,
)
TIDB_VECTOR_PORT: Optional[PositiveInt] = Field(
description="Port number on which the TiDB Vector server is listening (default is 4000)",
description='TiDB Vector port',
default=4000,
)
TIDB_VECTOR_USER: Optional[str] = Field(
description="Username for authenticating with the TiDB Vector database",
description='TiDB Vector user',
default=None,
)
TIDB_VECTOR_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the TiDB Vector database",
description='TiDB Vector password',
default=None,
)
TIDB_VECTOR_DATABASE: Optional[str] = Field(
description="Name of the TiDB Vector database to connect to",
description='TiDB Vector database',
default=None,
)

View File

@@ -1,20 +0,0 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class UpstashConfig(BaseSettings):
"""
Configuration settings for Upstash vector database
"""
UPSTASH_VECTOR_URL: Optional[str] = Field(
description="URL of the upstash server (e.g., 'https://vector.upstash.io')",
default=None,
)
UPSTASH_VECTOR_TOKEN: Optional[str] = Field(
description="Token for authenticating with the upstash server",
default=None,
)

View File

@@ -1,50 +0,0 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class VikingDBConfig(BaseSettings):
"""
Configuration for connecting to Volcengine VikingDB.
Refer to the following documentation for details on obtaining credentials:
https://www.volcengine.com/docs/6291/65568
"""
VIKINGDB_ACCESS_KEY: Optional[str] = Field(
description="The Access Key provided by Volcengine VikingDB for API authentication."
"Refer to the following documentation for details on obtaining credentials:"
"https://www.volcengine.com/docs/6291/65568",
default=None,
)
VIKINGDB_SECRET_KEY: Optional[str] = Field(
description="The Secret Key provided by Volcengine VikingDB for API authentication.",
default=None,
)
VIKINGDB_REGION: str = Field(
description="The region of the Volcengine VikingDB service.(e.g., 'cn-shanghai', 'cn-beijing').",
default="cn-shanghai",
)
VIKINGDB_HOST: str = Field(
description="The host of the Volcengine VikingDB service.(e.g., 'api-vikingdb.volces.com', \
'api-vikingdb.mlp.cn-shanghai.volces.com')",
default="api-vikingdb.mlp.cn-shanghai.volces.com",
)
VIKINGDB_SCHEME: str = Field(
description="The scheme of the Volcengine VikingDB service.(e.g., 'http', 'https').",
default="http",
)
VIKINGDB_CONNECTION_TIMEOUT: int = Field(
description="The connection timeout of the Volcengine VikingDB service.",
default=30,
)
VIKINGDB_SOCKET_TIMEOUT: int = Field(
description="The socket timeout of the Volcengine VikingDB service.",
default=30,
)

View File

@@ -1,30 +1,29 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field, PositiveInt
class WeaviateConfig(BaseSettings):
class WeaviateConfig(BaseModel):
"""
Configuration settings for Weaviate vector database
Weaviate configs
"""
WEAVIATE_ENDPOINT: Optional[str] = Field(
description="URL of the Weaviate server (e.g., 'http://localhost:8080' or 'https://weaviate.example.com')",
description='Weaviate endpoint URL',
default=None,
)
WEAVIATE_API_KEY: Optional[str] = Field(
description="API key for authenticating with the Weaviate server",
description='Weaviate API key',
default=None,
)
WEAVIATE_GRPC_ENABLED: bool = Field(
description="Whether to enable gRPC for Weaviate connection (True for gRPC, False for HTTP)",
description='whether to enable gRPC for Weaviate connection',
default=True,
)
WEAVIATE_BATCH_SIZE: PositiveInt = Field(
description="Number of objects to be processed in a single batch operation (default is 100)",
description='Weaviate batch size',
default=100,
)

View File

@@ -1,18 +1,17 @@
from pydantic import Field
from pydantic_settings import BaseSettings
from pydantic import BaseModel, Field
class PackagingInfo(BaseSettings):
class PackagingInfo(BaseModel):
"""
Packaging build information
"""
CURRENT_VERSION: str = Field(
description="Dify version",
default="1.0.0",
description='Dify version',
default='0.6.12-fix1',
)
COMMIT_SHA: str = Field(
description="SHA-1 checksum of the git commit used to build the app",
default="",
default='',
)

View File

@@ -1,17 +0,0 @@
from typing import Optional
from pydantic import Field
from .apollo import ApolloSettingsSourceInfo
from .base import RemoteSettingsSource
from .enums import RemoteSettingsSourceName
class RemoteSettingsSourceConfig(ApolloSettingsSourceInfo):
REMOTE_SETTINGS_SOURCE_NAME: RemoteSettingsSourceName | str = Field(
description="name of remote config source",
default="",
)
__all__ = ["RemoteSettingsSource", "RemoteSettingsSourceConfig", "RemoteSettingsSourceName"]

View File

@@ -1,55 +0,0 @@
from collections.abc import Mapping
from typing import Any, Optional
from pydantic import Field
from pydantic.fields import FieldInfo
from pydantic_settings import BaseSettings
from configs.remote_settings_sources.base import RemoteSettingsSource
from .client import ApolloClient
class ApolloSettingsSourceInfo(BaseSettings):
"""
Packaging build information
"""
APOLLO_APP_ID: Optional[str] = Field(
description="apollo app_id",
default=None,
)
APOLLO_CLUSTER: Optional[str] = Field(
description="apollo cluster",
default=None,
)
APOLLO_CONFIG_URL: Optional[str] = Field(
description="apollo config url",
default=None,
)
APOLLO_NAMESPACE: Optional[str] = Field(
description="apollo namespace",
default=None,
)
class ApolloSettingsSource(RemoteSettingsSource):
def __init__(self, configs: Mapping[str, Any]):
self.client = ApolloClient(
app_id=configs["APOLLO_APP_ID"],
cluster=configs["APOLLO_CLUSTER"],
config_url=configs["APOLLO_CONFIG_URL"],
start_hot_update=False,
_notification_map={configs["APOLLO_NAMESPACE"]: -1},
)
self.namespace = configs["APOLLO_NAMESPACE"]
self.remote_configs = self.client.get_all_dicts(self.namespace)
def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
if not isinstance(self.remote_configs, dict):
raise ValueError(f"remote configs is not dict, but {type(self.remote_configs)}")
field_value = self.remote_configs.get(field_name)
return field_value, field_name, False

View File

@@ -1,304 +0,0 @@
import hashlib
import json
import logging
import os
import threading
import time
from collections.abc import Mapping
from pathlib import Path
from .python_3x import http_request, makedirs_wrapper
from .utils import (
CONFIGURATIONS,
NAMESPACE_NAME,
NOTIFICATION_ID,
get_value_from_dict,
init_ip,
no_key_cache_key,
signature,
url_encode_wrapper,
)
logger = logging.getLogger(__name__)
class ApolloClient:
def __init__(
self,
config_url,
app_id,
cluster="default",
secret="",
start_hot_update=True,
change_listener=None,
_notification_map=None,
):
# Core routing parameters
self.config_url = config_url
self.cluster = cluster
self.app_id = app_id
# Non-core parameters
self.ip = init_ip()
self.secret = secret
# Check the parameter variables
# Private control variables
self._cycle_time = 5
self._stopping = False
self._cache = {}
self._no_key = {}
self._hash = {}
self._pull_timeout = 75
self._cache_file_path = os.path.expanduser("~") + "/.dify/config/remote-settings/apollo/cache/"
self._long_poll_thread = None
self._change_listener = change_listener # "add" "delete" "update"
if _notification_map is None:
_notification_map = {"application": -1}
self._notification_map = _notification_map
self.last_release_key = None
# Private startup method
self._path_checker()
if start_hot_update:
self._start_hot_update()
# start the heartbeat thread
heartbeat = threading.Thread(target=self._heart_beat)
heartbeat.daemon = True
heartbeat.start()
def get_json_from_net(self, namespace="application"):
url = "{}/configs/{}/{}/{}?releaseKey={}&ip={}".format(
self.config_url, self.app_id, self.cluster, namespace, "", self.ip
)
try:
code, body = http_request(url, timeout=3, headers=self._sign_headers(url))
if code == 200:
if not body:
logger.error(f"get_json_from_net load configs failed, body is {body}")
return None
data = json.loads(body)
data = data["configurations"]
return_data = {CONFIGURATIONS: data}
return return_data
else:
return None
except Exception:
logger.exception("an error occurred in get_json_from_net")
return None
def get_value(self, key, default_val=None, namespace="application"):
try:
# read memory configuration
namespace_cache = self._cache.get(namespace)
val = get_value_from_dict(namespace_cache, key)
if val is not None:
return val
no_key = no_key_cache_key(namespace, key)
if no_key in self._no_key:
return default_val
# read the network configuration
namespace_data = self.get_json_from_net(namespace)
val = get_value_from_dict(namespace_data, key)
if val is not None:
self._update_cache_and_file(namespace_data, namespace)
return val
# read the file configuration
namespace_cache = self._get_local_cache(namespace)
val = get_value_from_dict(namespace_cache, key)
if val is not None:
self._update_cache_and_file(namespace_cache, namespace)
return val
# If all of them are not obtained, the default value is returned
# and the local cache is set to None
self._set_local_cache_none(namespace, key)
return default_val
except Exception:
logger.exception("get_value has error, [key is %s], [namespace is %s]", key, namespace)
return default_val
# Set the key of a namespace to none, and do not set default val
# to ensure the real-time correctness of the function call.
# If the user does not have the same default val twice
# and the default val is used here, there may be a problem.
def _set_local_cache_none(self, namespace, key):
no_key = no_key_cache_key(namespace, key)
self._no_key[no_key] = key
def _start_hot_update(self):
self._long_poll_thread = threading.Thread(target=self._listener)
# When the asynchronous thread is started, the daemon thread will automatically exit
# when the main thread is launched.
self._long_poll_thread.daemon = True
self._long_poll_thread.start()
def stop(self):
self._stopping = True
logger.info("Stopping listener...")
# Call the set callback function, and if it is abnormal, try it out
def _call_listener(self, namespace, old_kv, new_kv):
if self._change_listener is None:
return
if old_kv is None:
old_kv = {}
if new_kv is None:
new_kv = {}
try:
for key in old_kv:
new_value = new_kv.get(key)
old_value = old_kv.get(key)
if new_value is None:
# If newValue is empty, it means key, and the value is deleted.
self._change_listener("delete", namespace, key, old_value)
continue
if new_value != old_value:
self._change_listener("update", namespace, key, new_value)
continue
for key in new_kv:
new_value = new_kv.get(key)
old_value = old_kv.get(key)
if old_value is None:
self._change_listener("add", namespace, key, new_value)
except BaseException as e:
logger.warning(str(e))
def _path_checker(self):
if not os.path.isdir(self._cache_file_path):
makedirs_wrapper(self._cache_file_path)
# update the local cache and file cache
def _update_cache_and_file(self, namespace_data, namespace="application"):
# update the local cache
self._cache[namespace] = namespace_data
# update the file cache
new_string = json.dumps(namespace_data)
new_hash = hashlib.md5(new_string.encode("utf-8")).hexdigest()
if self._hash.get(namespace) == new_hash:
pass
else:
file_path = Path(self._cache_file_path) / f"{self.app_id}_configuration_{namespace}.txt"
file_path.write_text(new_string)
self._hash[namespace] = new_hash
# get the configuration from the local file
def _get_local_cache(self, namespace="application"):
cache_file_path = os.path.join(self._cache_file_path, f"{self.app_id}_configuration_{namespace}.txt")
if os.path.isfile(cache_file_path):
with open(cache_file_path) as f:
result = json.loads(f.readline())
return result
return {}
def _long_poll(self):
notifications = []
for key in self._cache:
namespace_data = self._cache[key]
notification_id = -1
if NOTIFICATION_ID in namespace_data:
notification_id = self._cache[key][NOTIFICATION_ID]
notifications.append({NAMESPACE_NAME: key, NOTIFICATION_ID: notification_id})
try:
# if the length is 0 it is returned directly
if len(notifications) == 0:
return
url = "{}/notifications/v2".format(self.config_url)
params = {
"appId": self.app_id,
"cluster": self.cluster,
"notifications": json.dumps(notifications, ensure_ascii=False),
}
param_str = url_encode_wrapper(params)
url = url + "?" + param_str
code, body = http_request(url, self._pull_timeout, headers=self._sign_headers(url))
http_code = code
if http_code == 304:
logger.debug("No change, loop...")
return
if http_code == 200:
if not body:
logger.error(f"_long_poll load configs failed,body is {body}")
return
data = json.loads(body)
for entry in data:
namespace = entry[NAMESPACE_NAME]
n_id = entry[NOTIFICATION_ID]
logger.info("%s has changes: notificationId=%d", namespace, n_id)
self._get_net_and_set_local(namespace, n_id, call_change=True)
return
else:
logger.warning("Sleep...")
except Exception as e:
logger.warning(str(e))
def _get_net_and_set_local(self, namespace, n_id, call_change=False):
namespace_data = self.get_json_from_net(namespace)
if not namespace_data:
return
namespace_data[NOTIFICATION_ID] = n_id
old_namespace = self._cache.get(namespace)
self._update_cache_and_file(namespace_data, namespace)
if self._change_listener is not None and call_change and old_namespace:
old_kv = old_namespace.get(CONFIGURATIONS)
new_kv = namespace_data.get(CONFIGURATIONS)
self._call_listener(namespace, old_kv, new_kv)
def _listener(self):
logger.info("start long_poll")
while not self._stopping:
self._long_poll()
time.sleep(self._cycle_time)
logger.info("stopped, long_poll")
# add the need for endorsement to the header
def _sign_headers(self, url: str) -> Mapping[str, str]:
headers: dict[str, str] = {}
if self.secret == "":
return headers
uri = url[len(self.config_url) : len(url)]
time_unix_now = str(int(round(time.time() * 1000)))
headers["Authorization"] = "Apollo " + self.app_id + ":" + signature(time_unix_now, uri, self.secret)
headers["Timestamp"] = time_unix_now
return headers
def _heart_beat(self):
while not self._stopping:
for namespace in self._notification_map:
self._do_heart_beat(namespace)
time.sleep(60 * 10) # 10分钟
def _do_heart_beat(self, namespace):
url = "{}/configs/{}/{}/{}?ip={}".format(self.config_url, self.app_id, self.cluster, namespace, self.ip)
try:
code, body = http_request(url, timeout=3, headers=self._sign_headers(url))
if code == 200:
if not body:
logger.error(f"_do_heart_beat load configs failed,body is {body}")
return None
data = json.loads(body)
if self.last_release_key == data["releaseKey"]:
return None
self.last_release_key = data["releaseKey"]
data = data["configurations"]
self._update_cache_and_file(data, namespace)
else:
return None
except Exception:
logger.exception("an error occurred in _do_heart_beat")
return None
def get_all_dicts(self, namespace):
namespace_data = self._cache.get(namespace)
if namespace_data is None:
net_namespace_data = self.get_json_from_net(namespace)
if not net_namespace_data:
return namespace_data
namespace_data = net_namespace_data.get(CONFIGURATIONS)
if namespace_data:
self._update_cache_and_file(namespace_data, namespace)
return namespace_data

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