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feat/2p ... bai

Author SHA1 Message Date
2bfcd227e8 bai 2024-03-05 10:44:39 +08:00
2959 changed files with 198495 additions and 218038 deletions

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@ -1,5 +1,8 @@
FROM mcr.microsoft.com/devcontainers/python:3.10
COPY . .
# [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>

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@ -1,4 +1,4 @@
# Development with devcontainer
# Devlopment with devcontainer
This project includes a devcontainer configuration that allows you to open the project in a container with a fully configured development environment.
Both frontend and backend environments are initialized when the container is started.
## GitHub Codespaces
@ -33,5 +33,5 @@ Performance Impact: While usually minimal, programs running inside a devcontaine
if you see such error message when you open this project in codespaces:
![Alt text](troubleshooting.png)
a simple workaround is change `/signin` endpoint into another one, then login with GitHub account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
a simple workaround is change `/signin` endpoint into another one, then login with github account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)

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@ -32,8 +32,8 @@
]
}
},
"postStartCommand": "./.devcontainer/post_start_command.sh",
"postCreateCommand": "./.devcontainer/post_create_command.sh"
"postStartCommand": "cd api && pip install -r requirements.txt",
"postCreateCommand": "cd web && npm install"
// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},

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@ -1,10 +0,0 @@
#!/bin/bash
cd web && npm install
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"' >> ~/.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
source /home/vscode/.bashrc

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@ -1,3 +0,0 @@
#!/bin/bash
cd api && pip install -r requirements.txt

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@ -8,13 +8,11 @@ body:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
required: true
- 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: "Please do not modify this template :) and fill in all the required fields."
- label: "Pleas do not modify this template :) and fill in all the required fields."
required: true
- type: input

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@ -1,5 +1,8 @@
blank_issues_enabled: false
contact_links:
- name: "\U0001F4E7 Discussions"
url: https://github.com/langgenius/dify/discussions/categories/general
about: General discussions and request help from the community
- name: "\U0001F4DA Dify user documentation"
url: https://docs.dify.ai/getting-started/readme
about: Documentation for users of Dify
- name: "\U0001F4DA Dify dev documentation"
url: https://docs.dify.ai/getting-started/install-self-hosted
about: Documentation for people interested in developing and contributing for Dify

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@ -1,7 +1,7 @@
name: "📚 Documentation Issue"
description: Report issues in our documentation
labels:
- documentation
- ducumentation
body:
- type: checkboxes
attributes:
@ -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: "Please do not modify this template :) and fill in all the required fields."
- label: "Pleas do not modify this template :) and fill in all the required fields."
required: true
- type: textarea
attributes:

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@ -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: "Please do not modify this template :) and fill in all the required fields."
- label: "Pleas do not modify this template :) and fill in all the required fields."
required: true
- type: textarea
attributes:

22
.github/ISSUE_TEMPLATE/help_wanted.yml vendored Normal file
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@ -0,0 +1,22 @@
name: "🤝 Help Wanted"
description: "Request help from the community [please use English :]"
labels:
- help-wanted
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: "Pleas do not modify this template :) and fill in all the required fields."
required: true
- type: textarea
attributes:
label: Provide a description of the help you need
placeholder: Briefly describe what you need help with.
validations:
required: true

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@ -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: "Please do not modify this template :) and fill in all the required fields."
- label: "Pleas do not modify this template :) and fill in all the required fields."
required: true
- type: input
attributes:

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@ -12,8 +12,6 @@ Please delete options that are not relevant.
- [ ] 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)
- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
- [ ] Dependency upgrade
# How Has This Been Tested?

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@ -0,0 +1,45 @@
name: Run Pytest
on:
pull_request:
branches:
- main
jobs:
test:
runs-on: ubuntu-latest
env:
OPENAI_API_KEY: sk-IamNotARealKeyJustForMockTestKawaiiiiiiiiii
AZURE_OPENAI_API_BASE: https://difyai-openai.openai.azure.com
AZURE_OPENAI_API_KEY: xxxxb1707exxxxxxxxxxaaxxxxxf94
ANTHROPIC_API_KEY: sk-ant-api11-IamNotARealKeyJustForMockTestKawaiiiiiiiiii-NotBaka-ASkksz
CHATGLM_API_BASE: http://a.abc.com:11451
XINFERENCE_SERVER_URL: http://a.abc.com:11451
XINFERENCE_GENERATION_MODEL_UID: generate
XINFERENCE_CHAT_MODEL_UID: chat
XINFERENCE_EMBEDDINGS_MODEL_UID: embedding
XINFERENCE_RERANK_MODEL_UID: rerank
GOOGLE_API_KEY: abcdefghijklmnopqrstuvwxyz
HUGGINGFACE_API_KEY: hf-awuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwu
HUGGINGFACE_TEXT_GEN_ENDPOINT_URL: a
HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL: b
HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL: c
MOCK_SWITCH: true
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.10'
cache: 'pip'
cache-dependency-path: ./api/requirements.txt
- name: Install dependencies
run: pip install -r ./api/requirements.txt
- name: Run pytest
run: pytest api/tests/integration_tests/model_runtime/anthropic api/tests/integration_tests/model_runtime/azure_openai api/tests/integration_tests/model_runtime/openai api/tests/integration_tests/model_runtime/chatglm api/tests/integration_tests/model_runtime/google api/tests/integration_tests/model_runtime/xinference api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py

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@ -1,159 +0,0 @@
name: Run Pytest
on:
pull_request:
branches:
- main
paths:
- api/**
- docker/**
concurrency:
group: api-tests-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.10"
- "3.11"
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: 'pip'
cache-dependency-path: |
./api/requirements.txt
./api/requirements-dev.txt
- name: Install dependencies
run: pip install -r ./api/requirements.txt -r ./api/requirements-dev.txt
- name: Run Unit tests
run: dev/pytest/pytest_unit_tests.sh
- name: Run ModelRuntime
run: dev/pytest/pytest_model_runtime.sh
- name: Run Tool
run: dev/pytest/pytest_tools.sh
- name: Set up Sandbox
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.middleware.yaml
services: |
sandbox
ssrf_proxy
- name: Run Workflow
run: 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.middleware.yaml
docker/docker-compose.qdrant.yaml
docker/docker-compose.milvus.yaml
docker/docker-compose.pgvecto-rs.yaml
docker/docker-compose.pgvector.yaml
docker/docker-compose.chroma.yaml
services: |
weaviate
qdrant
etcd
minio
milvus-standalone
pgvecto-rs
pgvector
chroma
- name: Test Vector Stores
run: dev/pytest/pytest_vdb.sh
test-in-poetry:
name: API Tests
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.10"
- "3.11"
steps:
- name: Checkout code
uses: actions/checkout@v4
- 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 }}
cache: 'poetry'
cache-dependency-path: |
api/pyproject.toml
api/poetry.lock
- name: Poetry check
run: |
poetry check -C api
poetry show -C api
- name: Install dependencies
run: poetry install -C api --with dev
- name: Run Unit tests
run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
- name: Run ModelRuntime
run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
- name: Run Tool
run: poetry run -C api bash dev/pytest/pytest_tools.sh
- name: Set up Sandbox
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.middleware.yaml
services: |
sandbox
ssrf_proxy
- name: Run Workflow
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.middleware.yaml
docker/docker-compose.qdrant.yaml
docker/docker-compose.milvus.yaml
docker/docker-compose.pgvecto-rs.yaml
docker/docker-compose.pgvector.yaml
docker/docker-compose.chroma.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

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@ -1,32 +1,17 @@
name: Build and Push API & Web
name: Build and Push API Image
on:
push:
branches:
- "main"
- "deploy/dev"
- 'main'
- 'deploy/dev'
release:
types: [published]
env:
DOCKERHUB_USER: ${{ secrets.DOCKERHUB_USER }}
DOCKERHUB_TOKEN: ${{ secrets.DOCKERHUB_TOKEN }}
DIFY_WEB_IMAGE_NAME: ${{ vars.DIFY_WEB_IMAGE_NAME || 'langgenius/dify-web' }}
DIFY_API_IMAGE_NAME: ${{ vars.DIFY_API_IMAGE_NAME || 'langgenius/dify-api' }}
types: [ published ]
jobs:
build-and-push:
runs-on: ubuntu-latest
if: github.repository == 'langgenius/dify'
strategy:
matrix:
include:
- service_name: "web"
image_name_env: "DIFY_WEB_IMAGE_NAME"
context: "web"
- service_name: "api"
image_name_env: "DIFY_API_IMAGE_NAME"
context: "api"
if: github.event.pull_request.draft == false
steps:
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
@ -37,14 +22,14 @@ jobs:
- name: Login to Docker Hub
uses: docker/login-action@v2
with:
username: ${{ env.DOCKERHUB_USER }}
password: ${{ env.DOCKERHUB_TOKEN }}
username: ${{ secrets.DOCKERHUB_USER }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env[matrix.image_name_env] }}
images: langgenius/dify-api
tags: |
type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') }}
type=ref,event=branch
@ -54,11 +39,22 @@ jobs:
- name: Build and push
uses: docker/build-push-action@v5
with:
context: "{{defaultContext}}:${{ matrix.context }}"
context: "{{defaultContext}}:api"
platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
build-args: COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
build-args: |
COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Deploy to server
if: github.ref == 'refs/heads/deploy/dev'
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.SSH_HOST }}
username: ${{ secrets.SSH_USER }}
key: ${{ secrets.SSH_PRIVATE_KEY }}
script: |
${{ secrets.SSH_SCRIPT }}

60
.github/workflows/build-web-image.yml vendored Normal file
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@ -0,0 +1,60 @@
name: Build and Push WEB Image
on:
push:
branches:
- 'main'
- 'deploy/dev'
release:
types: [ published ]
jobs:
build-and-push:
runs-on: ubuntu-latest
if: github.event.pull_request.draft == false
steps:
- 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: ${{ secrets.DOCKERHUB_USER }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@v5
with:
images: langgenius/dify-web
tags: |
type=raw,value=latest,enable=${{ 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: Build and push
uses: docker/build-push-action@v5
with:
context: "{{defaultContext}}:web"
platforms: ${{ startsWith(github.ref, 'refs/tags/') && 'linux/amd64,linux/arm64' || 'linux/amd64' }}
build-args: |
COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Deploy to server
if: github.ref == 'refs/heads/deploy/dev'
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.SSH_HOST }}
username: ${{ secrets.SSH_USER }}
key: ${{ secrets.SSH_PRIVATE_KEY }}
script: |
${{ secrets.SSH_SCRIPT }}

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@ -1,58 +0,0 @@
name: DB Migration Test
on:
pull_request:
branches:
- main
paths:
- api/migrations/**
concurrency:
group: db-migration-test-${{ github.ref }}
cancel-in-progress: true
jobs:
db-migration-test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.10"
steps:
- name: Checkout code
uses: actions/checkout@v4
- 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 }}
cache: 'poetry'
cache-dependency-path: |
api/pyproject.toml
api/poetry.lock
- name: Install dependencies
run: poetry install -C api
- name: Set up Middlewares
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.middleware.yaml
services: |
db
redis
- name: Prepare configs
run: |
cd api
cp .env.example .env
- name: Run DB Migration
run: |
cd api
poetry run python -m flask upgrade-db

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@ -1,24 +0,0 @@
name: Deploy Dev
on:
workflow_run:
workflows: ["Build and Push API & Web"]
branches:
- "deploy/dev"
types:
- completed
jobs:
deploy:
runs-on: ubuntu-latest
if: |
github.event.workflow_run.conclusion == 'success'
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.SSH_HOST }}
username: ${{ secrets.SSH_USER }}
key: ${{ secrets.SSH_PRIVATE_KEY }}
script: |
${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}

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@ -6,7 +6,7 @@ on:
- main
concurrency:
group: style-${{ github.head_ref || github.run_id }}
group: dep-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
@ -18,93 +18,51 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v44
with:
files: api/**
- 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'
with:
python-version: '3.10'
- name: Python dependencies
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry install -C api --only lint
run: pip install ruff
- name: Ruff check
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry run -C api ruff check ./api
- name: Dotenv check
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
run: ruff check ./api
- name: Lint hints
if: failure()
run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
web-style:
name: Web Style
test:
name: ESLint and SuperLinter
runs-on: ubuntu-latest
defaults:
run:
working-directory: ./web
needs: python-style
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v44
with:
files: web/**
fetch-depth: 0
- name: Setup NodeJS
uses: actions/setup-node@v4
if: steps.changed-files.outputs.any_changed == 'true'
with:
node-version: 20
cache: yarn
cache-dependency-path: ./web/package.json
- name: Web dependencies
if: steps.changed-files.outputs.any_changed == 'true'
run: yarn install --frozen-lockfile
run: |
cd ./web
yarn install --frozen-lockfile
- name: Web style check
if: steps.changed-files.outputs.any_changed == 'true'
run: yarn run lint
superlinter:
name: SuperLinter
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v44
with:
files: |
**.sh
**.yaml
**.yml
Dockerfile
dev/**
run: |
cd ./web
yarn run lint
- name: Super-linter
uses: super-linter/super-linter/slim@v6
if: steps.changed-files.outputs.any_changed == 'true'
env:
BASH_SEVERITY: warning
DEFAULT_BRANCH: main
@ -115,5 +73,4 @@ jobs:
VALIDATE_BASH_EXEC: true
VALIDATE_GITHUB_ACTIONS: true
VALIDATE_DOCKERFILE_HADOLINT: true
VALIDATE_XML: true
VALIDATE_YAML: true

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@ -4,13 +4,6 @@ on:
pull_request:
branches:
- main
paths:
- sdks/**
concurrency:
group: sdk-tests-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
build:
name: unit test for Node.js SDK

26
.github/workflows/tool-tests.yaml vendored Normal file
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@ -0,0 +1,26 @@
name: Run Tool Pytest
on:
pull_request:
branches:
- main
jobs:
test:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.10'
cache: 'pip'
cache-dependency-path: ./api/requirements.txt
- name: Install dependencies
run: pip install -r ./api/requirements.txt
- name: Run pytest
run: pytest ./api/tests/integration_tests/tools/test_all_provider.py

11
.gitignore vendored
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@ -134,9 +134,7 @@ dmypy.json
web/.vscode/settings.json
# Intellij IDEA Files
.idea/*
!.idea/vcs.xml
!.idea/icon.png
.idea/
.ideaDataSources/
api/.env
@ -147,15 +145,10 @@ docker/volumes/db/data/*
docker/volumes/redis/data/*
docker/volumes/weaviate/*
docker/volumes/qdrant/*
docker/volumes/etcd/*
docker/volumes/minio/*
docker/volumes/milvus/*
docker/volumes/chroma/*
sdks/python-client/build
sdks/python-client/dist
sdks/python-client/dify_client.egg-info
.vscode/*
!.vscode/launch.json
pyrightconfig.json
!.vscode/launch.json

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16
.idea/vcs.xml generated
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@ -1,16 +0,0 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="IssueNavigationConfiguration">
<option name="links">
<list>
<IssueNavigationLink>
<option name="issueRegexp" value="#(\d+)" />
<option name="linkRegexp" value="https://github.com/langgenius/dify/issues/$1" />
</IssueNavigationLink>
</list>
</option>
</component>
<component name="VcsDirectoryMappings">
<mapping directory="" vcs="Git" />
</component>
</project>

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@ -4,7 +4,7 @@ We need to be nimble and ship fast given where we are, but we also want to make
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.
In terms of licensing, please take a minute to read our short [License and Contributor Agreement](./LICENSE). The community also adheres to the [code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
In terms of licensing, please take a minute to read our short [License and Contributor Agreement](./license). The community also adheres to the [code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
## Before you jump in
@ -36,7 +36,7 @@ In terms of licensing, please take a minute to read our short [License and Contr
| Feature Type | Priority |
| ------------------------------------------------------------ | --------------- |
| 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 |
| Popular feature requests from our [community feedback board](https://feedback.dify.ai/) | Medium Priority |
| Non-core features and minor enhancements | Low Priority |
| Valuable but not immediate | Future-Feature |
@ -155,4 +155,4 @@ And that's it! Once your PR is merged, you will be featured as a contributor in
## 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/AhzKf7dNgk) for a quick chat.

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@ -4,7 +4,7 @@
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
@ -34,7 +34,7 @@
| Feature Type | Priority |
| ------------------------------------------------------------ | --------------- |
| 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 |
| Popular feature requests from our [community feedback board](https://feedback.dify.ai/) | Medium Priority |
| Non-core features and minor enhancements | Low Priority |
| Valuable but not immediate | Future-Feature |
@ -152,4 +152,4 @@ Dify的后端使用Python编写使用[Flask](https://flask.palletsprojects.co
## 获取帮助
如果你在贡献过程中遇到困难或者有任何问题,可以通过相关的 GitHub 问题提出你的疑问,或者加入我们的 [Discord](https://discord.gg/8Tpq4AcN9c) 进行快速交流。
如果你在贡献过程中遇到困难或者有任何问题,可以通过相关的 GitHub 问题提出你的疑问,或者加入我们的 [Discord](https://discord.gg/AhzKf7dNgk) 进行快速交流。

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@ -1,160 +0,0 @@
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。
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。
ライセンスに関しては、私たちの短い[ライセンスおよびコントリビューター規約](./LICENSE)をお読みください。また、コミュニティは[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を遵守しています。
## 飛び込む前に
[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。
* 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。
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 |
| --------------------------------------------------------------------------------------- | ------------------------------------ |
| [@yeuoly](https://github.com/Yeuoly) | エージェントアーキテクチャ |
| [@jyong](https://github.com/JohnJyong) | RAG パイプライン設計 |
| [@GarfieldDai](https://github.com/GarfieldDai) | workflow orchestrations の構築 |
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | フロントエンドを使いやすくする |
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 開発者体験、何でも相談できる窓口 |
| [@takatost](https://github.com/takatost) | 全体的な製品の方向性とアーキテクチャ |
優先順位の付け方:
| Feature Type | Priority |
| --------------------------------------------------------------------------------------------------------------------- | --------------- |
| チームメンバーによってラベル付けされた優先度の高い機能 | High Priority |
| [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks)の人気の機能リクエスト | Medium Priority |
| 非コア機能とマイナーな機能強化 | Low Priority |
| 価値はあるが即効性はない | Future-Feature |
### その他 (バグレポート、パフォーマンスの最適化、誤字の修正など)
* すぐにコーディングを始めてください
優先順位の付け方:
| Issue Type | Priority |
| -------------------------------------------------------------------------------------- | --------------- |
| コア機能のバグ(ログインできない、アプリケーションが動作しない、セキュリティの抜け穴) | Critical |
| 致命的でないバグ、パフォーマンス向上 | Medium Priority |
| 細かな修正(誤字脱字、機能はするが分かりにくい UI | Low Priority |
## インストール
以下の手順で 、Difyのセットアップをしてください。
### 1. このリポジトリをフォークする
### 2. リポジトリをクローンする
フォークしたリポジトリをターミナルからクローンします。
```
git clone git@github.com:<github_username>/dify.git
```
### 3. 依存関係の確認
Dify を構築するには次の依存関係が必要です。それらがシステムにインストールされていることを確認してください。
- [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. インストール
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/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
設定を確認するために、ブラウザで[http://localhost:3000](http://localhost:3000)(デフォルト、または自分で設定した URL とポート)にアクセスしてください。Dify が起動して実行中であることが確認できるはずです。
## 開発中
モデルプロバイダーを追加する場合は、[このガイド](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)が役立ちます。
Agent や Workflow にツールプロバイダーを追加する場合は、[このガイド](./api/core/tools/README.md)が役立ちます。
Dify のバックエンドとフロントエンドの概要を簡単に説明します。
### バックエンド
Dify のバックエンドは[Flask](https://flask.palletsprojects.com/en/3.0.x/)を使って Python で書かれています。ORM には[SQLAlchemy](https://www.sqlalchemy.org/)を、タスクキューには[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)を使っています。認証ロジックは Flask-login 経由で行われます。
```
[api/]
├── constants // コードベース全体で使用される定数設定
├── controllers // APIルート定義とリクエスト処理ロジック
├── core // アプリケーションの中核的な管理、モデル統合、およびツール
├── docker // Dockerおよびコンテナ関連の設定
├── events // イベントのハンドリングと処理
├── extensions // 第三者のフレームワーク/プラットフォームとの拡張
├── fields // シリアライゼーション/マーシャリング用のフィールド定義
├── libs // 再利用可能なライブラリとヘルパー
├── migrations // データベースマイグレーションスクリプト
├── models // データベースモデルとスキーマ定義
├── services // ビジネスロジックの定義
├── storage // 秘密鍵の保存
├── tasks // 非同期タスクとバックグラウンドジョブの処理
└── tests // テスト関連のファイル
```
### フロントエンド
このウェブサイトは、Typescriptベースの[Next.js](https://nextjs.org/)テンプレートを使ってブートストラップされ、[Tailwind CSS](https://tailwindcss.com/)を使ってスタイリングされています。国際化には[React-i18next](https://react.i18next.com/)を使用しています。
```
[web/]
├── app // レイアウト、ページ、コンポーネント
│ ├── (commonLayout) // アプリ全体で共通のレイアウト
│ ├── (shareLayout) // トークン特有のセッションで共有されるレイアウト
│ ├── activate // アクティベートページ
│ ├── components // ページやレイアウトで共有されるコンポーネント
│ ├── install // インストールページ
│ ├── signin // サインインページ
│ └── styles // グローバルに共有されるスタイル
├── assets // 静的アセット
├── bin // ビルドステップで実行されるスクリプト
├── config // 調整可能な設定とオプション
├── context // アプリの異なる部分で使用される共有コンテキスト
├── dictionaries // 言語別の翻訳ファイル
├── docker // コンテナ設定
├── hooks // 再利用可能なフック
├── i18n // 国際化設定
├── models // データモデルとAPIレスポンスの形状を記述
├── public // ファビコンなどのメタアセット
├── service // APIアクションの形状を指定
├── test
├── types // 関数のパラメータと戻り値の記述
└── utils // 共有ユーティリティ関数
```
## PR を投稿する
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。
## ヘルプを得る
コントリビュート中に行き詰まったり、疑問が生じたりした場合は、GitHub の関連する issue から質問していただくか、[Discord](https://discord.gg/8Tpq4AcN9c)でチャットしてください。

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@ -1,43 +0,0 @@
# Variables
DOCKER_REGISTRY=langgenius
WEB_IMAGE=$(DOCKER_REGISTRY)/dify-web
API_IMAGE=$(DOCKER_REGISTRY)/dify-api
VERSION=latest
# Build Docker images
build-web:
@echo "Building web Docker image: $(WEB_IMAGE):$(VERSION)..."
docker build -t $(WEB_IMAGE):$(VERSION) ./web
@echo "Web Docker image built successfully: $(WEB_IMAGE):$(VERSION)"
build-api:
@echo "Building API Docker image: $(API_IMAGE):$(VERSION)..."
docker build -t $(API_IMAGE):$(VERSION) ./api
@echo "API Docker image built successfully: $(API_IMAGE):$(VERSION)"
# Push Docker images
push-web:
@echo "Pushing web Docker image: $(WEB_IMAGE):$(VERSION)..."
docker push $(WEB_IMAGE):$(VERSION)
@echo "Web Docker image pushed successfully: $(WEB_IMAGE):$(VERSION)"
push-api:
@echo "Pushing API Docker image: $(API_IMAGE):$(VERSION)..."
docker push $(API_IMAGE):$(VERSION)
@echo "API Docker image pushed successfully: $(API_IMAGE):$(VERSION)"
# Build all images
build-all: build-web build-api
# Push all images
push-all: push-web push-api
build-push-api: build-api push-api
build-push-web: build-web push-web
# Build and push all images
build-push-all: build-all push-all
@echo "All Docker images have been built and pushed."
# Phony targets
.PHONY: build-web build-api push-web push-api build-all push-all build-push-all

278
README.md
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@ -1,174 +1,103 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
[![](./images/describe.png)](https://dify.ai)
<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://cal.com/guchenhe/60-min-meeting">Enterprise inquiry</a>
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a> |
<a href="./README_ES.md">Español</a> |
<a href="./README_KL.md">Klingon</a> |
<a href="./README_FR.md">Français</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>
<img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></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"
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
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"
<img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
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">
<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>
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></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="https://discord.com/events/1082486657678311454/1211724120996188220" target="_blank">
Dify.AI Upcoming Meetup Event [👉 Click to Join the Event Here 👈]
</a>
<ul align="center" style="text-decoration: none; list-style: none;">
<li> US EST: 09:00 (9:00 AM)</li>
<li> CET: 15:00 (3:00 PM)</li>
<li> CST: 22:00 (10:00 PM)</li>
</ul>
</p>
<p align="center">
<a href="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
</a>
</p>
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>
**Dify** is an LLM application development platform that has helped built over **100,000** applications. It integrates BaaS and LLMOps, covering the essential tech stack for building generative AI-native applications, including a built-in RAG engine. Dify allows you to **deploy your own version of Assistants API and GPTs, based on any LLMs.**
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
![](./images/demo.png)
**2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
## Using our Cloud Services
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
You can try out [Dify.AI Cloud](https://dify.ai) now. It provides all the capabilities of the self-deployed version, and includes 200 free requests to OpenAI GPT-3.5.
## Dify vs. LangChain vs. Assistants API
**3. Prompt IDE**:
Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.
**4. RAG Pipeline**:
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, 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.
**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
<table style="width: 100%;">
<tr>
<th align="center">Feature</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">Programming Approach</td>
<td align="center">API + App-oriented</td>
<td align="center">Python Code</td>
<td align="center">App-oriented</td>
<td align="center">API-oriented</td>
</tr>
<tr>
<td align="center">Supported LLMs</td>
<td align="center">Rich Variety</td>
<td align="center">Rich Variety</td>
<td align="center">Rich Variety</td>
<td align="center">OpenAI-only</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">Workflow</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Observability</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Enterprise Features (SSO/Access control)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Local Deployment</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## Using Dify
- **Cloud </br>**
We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
- **Self-hosting Dify Community Edition</br>**
Quickly get Dify running in your environment with this [starter guide](#quick-start).
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. [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.
## 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)
| Feature | Dify.AI | Assistants API | LangChain |
|---------|---------|----------------|-----------|
| **Programming Approach** | API-oriented | API-oriented | Python Code-oriented |
| **Ecosystem Strategy** | Open Source | Close Source | Open Source |
| **RAG Engine** | Supported | Supported | Not Supported |
| **Prompt IDE** | Included | Included | None |
| **Supported LLMs** | Rich Variety | OpenAI-only | Rich Variety |
| **Local Deployment** | Supported | Not Supported | Not Applicable |
## Quick start
> Before installing Dify, make sure your machine meets the following minimum system requirements:
>
>- CPU >= 2 Core
>- RAM >= 4GB
## Features
</br>
![](./images/models.png)
**1. LLM Support**: Integration with OpenAI's GPT family of models, or the open-source Llama2 family models. In fact, Dify supports mainstream commercial models and open-source models (locally deployed or based on MaaS).
**2. Prompt IDE**: Visual orchestration of applications and services based on LLMs with your team.
**3. RAG Engine**: Includes various RAG capabilities based on full-text indexing or vector database embeddings, allowing direct upload of PDFs, TXTs, and other text formats.
**4. AI Agent**: Based on Function Calling and ReAct, the Agent inference framework allows users to customize tools, what you see is what you get. Dify provides more than a dozen built-in tool calling capabilities, such as Google Search, DELL·E, Stable Diffusion, WolframAlpha, etc.
**5. Continuous Operations**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data.
## Before You Start
**Star us on GitHub, and be instantly notified for new releases!**
![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
- [Website](https://dify.ai)
- [Docs](https://docs.dify.ai)
- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
- [FAQ](https://docs.dify.ai/getting-started/faq)
## Install the Community Edition
### System Requirements
Before installing Dify, make sure your machine meets the following minimum system requirements:
- CPU >= 2 Core
- RAM >= 4GB
### Quick Start
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:
@ -177,66 +106,57 @@ cd docker
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.
After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization installation 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)
### Helm Chart
## Next steps
Big thanks to @BorisPolonsky for providing us with a [Helm Chart](https://helm.sh/) version, which allows Dify to be deployed on Kubernetes.
You can go to https://github.com/BorisPolonsky/dify-helm for deployment information.
If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
### Configuration
If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes.
If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables in our [docs](https://docs.dify.ai/getting-started/install-self-hosted/environments).
- [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)
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Contributing
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
> 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).
**Contributors**
### Contributors
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Community & contact
### Translations
* [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
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_EN.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/AhzKf7dNgk).
## Community & Support
* [Canny](https://feedback.dify.ai/). Best for: sharing feedback and checking out our feature roadmap.
* [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.
* [Email Support](mailto:hello@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.
* [Business Contact](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Best for: business inquiries of licensing Dify.AI for commercial use.
Or, schedule a meeting directly with a team member:
### Direct Meetings
<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>
**Help us make Dify better. Reach out directly to us**.
## Star history
| Point of Contact | Purpose |
| :----------------------------------------------------------: | :----------------------------------------------------------: |
| <a href='https://cal.com/guchenhe/15min' target='_blank'><img src='https://i.postimg.cc/fWBqSmjP/Git-Hub-README-Button-3x.png' border='0' alt='Git-Hub-README-Button-3x' height="60" width="214"/></a> | Product design feedback, user experience discussions, feature planning and roadmaps. |
| <a href='https://cal.com/pinkbanana' target='_blank'><img src='https://i.postimg.cc/LsRTh87D/Git-Hub-README-Button-2x.png' border='0' alt='Git-Hub-README-Button-2x' height="60" width="225"/></a> | Technical support, issues, or feature requests |
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Security disclosure
## Security Disclosure
To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.

View File

@ -1,226 +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">الاستضافة الذاتية</a> ·
<a href="https://docs.dify.ai">التوثيق</a> ·
<a href="https://cal.com/guchenhe/60-min-meeting">استفسارات الشركات</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 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">
<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>
</p>
<div style="text-align: right;">
مشروع Dify هو منصة تطوير تطبيقات الذكاء الصناعي مفتوحة المصدر. تجمع واجهته البديهية بين سير العمل الذكي بالذكاء الاصطناعي وخط أنابيب RAG وقدرات الوكيل وإدارة النماذج وميزات الملاحظة وأكثر من ذلك، مما يتيح لك الانتقال بسرعة من المرحلة التجريبية إلى الإنتاج. إليك قائمة بالميزات الأساسية:
</br> </br>
**1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. بيئة التطوير للأوامر**: واجهة بيئة التطوير المبتكرة لصياغة الأمر ومقارنة أداء النموذج، وإضافة ميزات إضافية مثل تحويل النص إلى كلام إلى تطبيق قائم على الدردشة.
**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 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.
**7.الواجهة الخلفية (Backend) كخدمة**: تأتي جميع عروض Dify مع APIs مطابقة، حتى يمكنك دمج Dify بسهولة في منطق أعمالك الخاص.
## مقارنة الميزات
<table style="width: 100%;">
<tr>
<th align="center">الميزة</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">نهج البرمجة</td>
<td align="center">موجّه لـ تطبيق + واجهة برمجة تطبيق (API)</td>
<td align="center">برمجة Python</td>
<td align="center">موجه لتطبيق</td>
<td align="center">واجهة برمجة تطبيق (API)</td>
</tr>
<tr>
<td align="center">LLMs المدعومة</td>
<td align="center">تنوع غني</td>
<td align="center">تنوع غني</td>
<td align="center">تنوع غني</td>
<td align="center">فقط OpenAI</td>
</tr>
<tr>
<td align="center">محرك RAG</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">الوكيل</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">سير العمل</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">الملاحظة</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">ميزات الشركات (SSO / مراقبة الوصول)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">نشر محلي</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## استخدام Dify
- **سحابة </br>**
نحن نستضيف [خدمة Dify Cloud](https://dify.ai) لأي شخص لتجربتها بدون أي إعدادات. توفر كل قدرات النسخة التي تمت استضافتها ذاتيًا، وتتضمن 200 أمر GPT-4 مجانًا في خطة الصندوق الرملي.
- **استضافة ذاتية لنسخة المجتمع Dify</br>**
ابدأ سريعًا في تشغيل Dify في بيئتك باستخدام [دليل البدء السريع](#البدء السريع).
استخدم [توثيقنا](https://docs.dify.ai) للمزيد من المراجع والتعليمات الأعمق.
- **مشروع Dify للشركات / المؤسسات</br>**
نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) لمناقشة احتياجات الشركات. </br>
> بالنسبة للشركات الناشئة والشركات الصغيرة التي تستخدم خدمات AWS، تحقق من [Dify Premium على AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) ونشرها في شبكتك الخاصة على AWS VPC بنقرة واحدة. إنها عرض AMI بأسعار معقولة مع خيار إنشاء تطبيقات بشعار وعلامة تجارية مخصصة.
## البقاء قدمًا
قم بإضافة نجمة إلى Dify على GitHub وتلق تنبيهًا فوريًا بالإصدارات الجديدة.
![نجمنا](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## البداية السريعة
> قبل تثبيت Dify، تأكد من أن جهازك يلبي الحد الأدنى من متطلبات النظام التالية:
>
>- معالج >= 2 نواة
>- ذاكرة وصول عشوائي (RAM) >= 4 جيجابايت
</br>
أسهل طريقة لبدء تشغيل خادم Dify هي تشغيل ملف [docker-compose.yml](docker/docker-compose.yaml) الخاص بنا. قبل تشغيل أمر التثبيت، تأكد من تثبيت [Docker](https://docs.docker.com/get-docker/) و [Docker Compose](https://docs.docker.com/compose/install/) على جهازك:
```bash
cd docker
docker compose up -d
```
بعد التشغيل، يمكنك الوصول إلى لوحة تحكم Dify في متصفحك على [http://localhost/install](http://localhost/install) وبدء عملية التهيئة.
> إذا كنت ترغب في المساهمة في Dify أو القيام بتطوير إضافي، فانظر إلى [دليلنا للنشر من الشفرة (code) المصدرية](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## الخطوات التالية
إذا كنت بحاجة إلى تخصيص التكوين، يرجى الرجوع إلى التعليقات في ملف [docker-compose.yml](docker/docker-compose.yaml) لدينا وتعيين التكوينات البيئية يدويًا. بعد إجراء التغييرات، يرجى تشغيل `docker-compose up -d` مرة أخرى. يمكنك رؤية قائمة كاملة بالمتغيرات البيئية [هنا](https://docs.dify.ai/getting-started/install-self-hosted/environments).
يوجد مجتمع خاص بـ [Helm Charts](https://helm.sh/) وملفات YAML التي تسمح بتنفيذ Dify على Kubernetes للنظام من الإيجابيات العلوية.
- [رسم بياني Helm من قبل @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [رسم بياني Helm من قبل @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [ملف YAML من قبل @Winson-030](https://github.com/Winson-030/dify-kubernetes)
## المساهمة
لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا.
في الوقت نفسه، يرجى النظر في دعم Dify عن طريق مشاركته على وسائل التواصل الاجتماعي وفي الفعاليات والمؤتمرات.
> نحن نبحث عن مساهمين لمساعدة في ترجمة Dify إلى لغات أخرى غير اللغة الصينية المندرين أو الإنجليزية. إذا كنت مهتمًا بالمساعدة، يرجى الاطلاع على [README للترجمة](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) لمزيد من المعلومات، واترك لنا تعليقًا في قناة `global-users` على [خادم المجتمع على Discord](https://discord.gg/8Tpq4AcN9c).
**المساهمون**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## 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)
## 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.

View File

@ -1,168 +1,78 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<div align="center">
<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://cal.com/guchenhe/dify-demo">预约演示</a>
</div>
[![](./images/describe.png)](https://dify.ai)
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a> |
<a href="./README_ES.md">Español</a> |
<a href="./README_KL.md">Klingon</a> |
<a href="./README_FR.md">Français</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>
<img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></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"
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
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"
<img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
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">
<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>
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
</p>
<div align="center">
<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>
<p align="center">
<a href="https://mp.weixin.qq.com/s/TnyfIuH-tPi9o1KNjwVArw" target="_blank">
Dify 发布 AI Agent 能力:基于不同的大型语言模型构建 GPTs 和 Assistants
</a>
</p>
Dify 是一个 LLM 应用开发平台,已经有超过 10 万个应用基于 Dify.AI 构建。它融合了 Backend as Service 和 LLMOps 的理念,涵盖了构建生成式 AI 原生应用所需的核心技术栈,包括一个内置 RAG 引擎。使用 Dify你可以基于任何模型自部署类似 Assistants API 和 GPTs 的能力。
![](./images/demo.png)
## 使用云端服务
使用 [Dify.AI Cloud](https://dify.ai) 提供开源版本的所有功能,并包含 200 次 GPT 试用额度。
## 为什么选择 Dify
Dify 具有模型中立性,相较 LangChain 等硬编码开发库 Dify 是一个完整的、工程化的技术栈,而相较于 OpenAI 的 Assistants API 你可以完全将服务部署在本地。
| 功能 | Dify.AI | Assistants API | LangChain |
| --- | --- | --- | --- |
| 编程方式 | 面向 API | 面向 API | 面向 Python 代码 |
| 生态策略 | 开源 | 封闭且商用 | 开源 |
| RAG 引擎 | 支持 | 支持 | 不支持 |
| Prompt IDE | 包含 | 包含 | 没有 |
| 支持的 LLMs | 丰富 | 仅 GPT | 丰富 |
| 本地部署 | 支持 | 不支持 | 不适用 |
#
## 特点
<div align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | 趋势转变" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>
![](./images/models.png)
Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI 工作流、RAG 管道、Agent、模型管理、可观测性功能等让您可以快速从原型到生产。以下是其核心功能列表
</br> </br>
**1. LLM支持**:与 OpenAI 的 GPT 系列模型集成,或者与开源的 Llama2 系列模型集成。事实上Dify支持主流的商业模型和开源模型(本地部署或基于 MaaS)。
**1. 工作流**:
在画布上构建和测试功能强大的 AI 工作流程,利用以下所有功能以及更多功能。
**2. Prompt IDE**:和团队一起在 Dify 协作,通过可视化的 Prompt 和应用编排工具开发 AI 应用。 支持无缝切换多种大型语言模型。
**3. RAG引擎**:包括各种基于全文索引或向量数据库嵌入的 RAG 能力,允许直接上传 PDF、TXT 等各种文本格式。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**4. AI Agent**:基于 Function Calling 和 ReAct 的 Agent 推理框架允许用户自定义工具所见即所得。Dify 提供了十多种内置工具调用能力如谷歌搜索、DELL·E、Stable Diffusion、WolframAlpha 等。
**5. 持续运营**:监控和分析应用日志和性能,使用生产数据持续改进 Prompt、数据集或模型。
## 在开始之前
**2. 全面的模型支持**:
与数百种专有/开源 LLMs 以及数十种推理提供商和自托管解决方案无缝集成,涵盖 GPT、Mistral、Llama3 以及任何与 OpenAI API 兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。
**关注我们,您将立即收到 GitHub 上所有新发布版本的通知!**
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
**3. Prompt IDE**:
用于制作提示、比较模型性能以及向基于聊天的应用程序添加其他功能(如文本转语音)的直观界面。
**4. RAG Pipeline**:
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、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。
**7. 后端即服务**:
所有 Dify 的功能都带有相应的 API因此您可以轻松地将 Dify 集成到自己的业务逻辑中。
## 功能比较
<table style="width: 100%;">
<tr>
<th align="center">功能</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistant API</th>
</tr>
<tr>
<td align="center">编程方法</td>
<td align="center">API + 应用程序导向</td>
<td align="center">Python 代码</td>
<td align="center">应用程序导向</td>
<td align="center">API 导向</td>
</tr>
<tr>
<td align="center">支持的 LLMs</td>
<td align="center">丰富多样</td>
<td align="center">丰富多样</td>
<td align="center">丰富多样</td>
<td align="center">仅限 OpenAI</td>
</tr>
<tr>
<td align="center">RAG引擎</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">工作流</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">可观测性</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">企业功能SSO/访问控制)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">本地部署</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## 使用 Dify
- **云 </br>**
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](#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。[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
在 GitHub 上给 Dify Star并立即收到新版本的通知。
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
- [网站](https://dify.ai)
- [文档](https://docs.dify.ai)
- [部署文档](https://docs.dify.ai/getting-started/install-self-hosted)
- [常见问题](https://docs.dify.ai/getting-started/faq)
## 安装社区版
@ -184,13 +94,10 @@ docker compose up -d
运行后,可以在浏览器上访问 [http://localhost/install](http://localhost/install) 进入 Dify 控制台并开始初始化安装操作。
#### 使用 Helm Chart 部署
### Helm Chart
使用 [Helm Chart](https://helm.sh/) 版本或者 YAML 文件,可以在 Kubernetes 上部署 Dify。
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML 文件 by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
非常感谢 @BorisPolonsky 为我们提供了一个 [Helm Chart](https://helm.sh/) 版本,可以在 Kubernetes 上部署 Dify。
您可以前往 https://github.com/BorisPolonsky/dify-helm 来获取部署信息。
### 配置
@ -201,24 +108,10 @@ docker compose up -d
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Contributing
对于那些想要贡献代码的人,请参阅我们的[贡献指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
同时,请考虑通过社交媒体、活动和会议来支持 Dify 的分享。
> 我们正在寻找贡献者来帮助将Dify翻译成除了中文和英文之外的其他语言。如果您有兴趣帮助请参阅我们的[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)获取更多信息,并在我们的[Discord社区服务器](https://discord.gg/8Tpq4AcN9c)的`global-users`频道中留言。
**Contributors**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## 社区与支持
我们欢迎您为 Dify 做出贡献,以帮助改善 Dify。包括提交代码、问题、新想法或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时,我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。
- [Github Discussion](https://github.com/langgenius/dify/discussions). 👉:分享您的应用程序并与社区交流。
- [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。

View File

@ -1,247 +1,119 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
[![](./images/describe.png)](https://dify.ai)
<p align="center">
<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://cal.com/guchenhe/dify-demo">Programar demostración</a>
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a> |
<a href="./README_ES.md">Español</a> |
<a href="./README_KL.md">Klingon</a> |
<a href="./README_FR.md">Français</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Insignia Estática" src="https://img.shields.io/badge/Producto-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Insignia Estática" src="https://img.shields.io/badge/gratis-precios?logo=gratis&color=%20%23155EEF&label=precios&labelColor=%20%23528bff"></a>
<img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></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 en Discord"></a>
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
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="seguir en Twitter"></a>
<img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
alt="follow on 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">
<img alt="Actividad de Commits el último mes" 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 cerrados" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20cerrados&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Publicaciones de discusión" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
</p>
<p align="center">
<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>
<a href="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
</a>
</p>
#
**Dify** es una plataforma de desarrollo de aplicaciones para modelos de lenguaje de gran tamaño (LLM) que ya ha visto la creación de más de **100,000** aplicaciones basadas en Dify.AI. Integra los conceptos de Backend como Servicio y LLMOps, cubriendo el conjunto de tecnologías esenciales requerido para construir aplicaciones nativas de inteligencia artificial generativa, incluyendo un motor RAG incorporado. Con Dify, **puedes auto-desplegar capacidades similares a las de Assistants API y GPTs basadas en cualquier LLM.**
<p align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto. Su interfaz intuitiva combina flujo de trabajo de IA, pipeline RAG, capacidades de agente, gestión de modelos, características de observabilidad y más, lo que le permite pasar rápidamente de un prototipo a producción. Aquí hay una lista de las características principales:
</br> </br>
![](./images/demo.png)
**1. Flujo de trabajo**:
Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
## Utilizar Servicios en la Nube
Usar [Dify.AI Cloud](https://dify.ai) proporciona todas las capacidades de la versión de código abierto, e incluye un complemento de 200 créditos de prueba para GPT.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
## Por qué Dify
Dify se caracteriza por su neutralidad de modelo y es un conjunto tecnológico completo e ingenierizado, en comparación con las bibliotecas de desarrollo codificadas como LangChain. A diferencia de la API de Assistants de OpenAI, Dify permite el despliegue local completo de los servicios.
| Característica | Dify.AI | API de Assistants | LangChain |
|----------------|---------|------------------|-----------|
| **Enfoque de Programación** | Orientado a API | Orientado a API | Orientado a Código en Python |
| **Estrategia del Ecosistema** | Código Abierto | Cerrado y Comercial | Código Abierto |
| **Motor RAG** | Soportado | Soportado | No Soportado |
| **IDE de Prompts** | Incluido | Incluido | Ninguno |
| **LLMs Soportados** | Gran Variedad | Solo GPT | Gran Variedad |
| **Despliegue Local** | Soportado | No Soportado | No Aplicable |
**2. Soporte de modelos completo**:
Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers).
## Características
![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
![](./images/models.png)
**1. Soporte LLM**: Integración con la familia de modelos GPT de OpenAI, o los modelos de la familia Llama2 de código abierto. De hecho, Dify soporta modelos comerciales convencionales y modelos de código abierto (desplegados localmente o basados en MaaS).
**3. IDE de prompt**:
Interfaz intuitiva para crear prompts, comparar el rendimiento del modelo y agregar características adicionales como texto a voz a una aplicación basada en chat.
**2. IDE de Prompts**: Orquestación visual de aplicaciones y servicios basados en LLMs con tu equipo.
**4. Pipeline RAG**:
Amplias capacidades de RAG que cubren todo, desde la ingestión de documentos hasta la recuperación, con soporte listo para usar para la extracción de texto de PDF, PPT y otros formatos de documento comunes.
**3. Motor RAG**: Incluye varias capacidades RAG basadas en indexación de texto completo o incrustaciones de base de datos vectoriales, permitiendo la carga directa de PDFs, TXTs y otros formatos de texto.
**5. Capacidades de agente**:
Puedes definir agent
**4. Agente de IA**: Basado en la llamada de funciones y ReAct, el marco de inferencia del Agente permite a los usuarios personalizar las herramientas, lo que ves es lo que obtienes. Dify proporciona más de una docena de capacidades de llamada de herramientas incorporadas, como Búsqueda de Google, DELL·E, Difusión Estable, WolframAlpha, etc.
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.
**5. Operaciones Continuas**: Monitorear y analizar registros de aplicaciones y rendimiento, mejorando continuamente Prompts, conjuntos de datos o modelos usando datos de producción.
**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.
## Antes de Empezar
**7. Backend como servicio**:
Todas las ofertas de Dify vienen con APIs correspondientes, por lo que podrías integrar Dify sin esfuerzo en tu propia lógica empresarial.
**¡Danos una estrella, y recibirás notificaciones instantáneas de todos los nuevos lanzamientos en GitHub!**
![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
## Comparación de características
<table style="width: 100%;">
<tr>
<th align="center">Característica</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">API de Asistentes de OpenAI</th>
</tr>
<tr>
<td align="center">Enfoque de programación</td>
<td align="center">API + orientado a la aplicación</td>
<td align="center">Código Python</td>
<td align="center">Orientado a la aplicación</td>
<td align="center">Orientado a la API</td>
</tr>
<tr>
<td align="center">LLMs admitidos</td>
<td align="center">Gran variedad</td>
<td align="center">Gran variedad</td>
<td align="center">Gran variedad</td>
<td align="center">Solo OpenAI</td>
</tr>
<tr>
<td align="center">Motor RAG</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">Flujo de trabajo</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Observabilidad</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Característica empresarial (SSO/Control de acceso)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Implementación local</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
- [Sitio web](https://dify.ai)
- [Documentación](https://docs.dify.ai)
- [Documentación de Implementación](https://docs.dify.ai/getting-started/install-self-hosted)
- [Preguntas Frecuentes](https://docs.dify.ai/getting-started/faq)
## Usando Dify
## Instalar la Edición Comunitaria
- **Nube </br>**
Hospedamos un servicio [Dify Cloud](https://dify.ai) para que cualquiera lo pruebe sin configuración. Proporciona todas las capacidades de la versión autoimplementada e incluye 200 llamadas gratuitas a GPT-4 en el plan sandbox.
### Requisitos del Sistema
- **Auto-alojamiento de Dify Community Edition</br>**
Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio rápido](#quick-start).
Usa nuestra [documentación](https://docs.dify.ai) para más referencias e instrucciones más detalladas.
Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
- **Dify para Empresas / Organizaciones</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.
- CPU >= 2 núcleos
- RAM >= 4GB
### Inicio Rápido
## Manteniéndote al tanto
Dale estrella a Dify en GitHub y serás notificado instantáneamente de las nuevas versiones.
![danos estrella](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Inicio Rápido
> Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
>
>- CPU >= 2 núcleos
>- RAM >= 4GB
</br>
La forma más fácil de iniciar el servidor de Dify es ejecutar nuestro archivo [docker-compose.yml](docker/docker-compose.yaml). Antes de ejecutar el comando de instalación, asegúrate de que [Docker](https://docs.docker.com/get-docker/) y [Docker Compose](https://docs.docker.com/compose/install/) estén instalados en tu máquina:
La forma más sencilla de iniciar el servidor de Dify es ejecutar nuestro archivo [docker-compose.yml](docker/docker-compose.yaml). Antes de ejecutar el comando de instalación, asegúrate de que [Docker](https://docs.docker.com/get-docker/) y [Docker Compose](https://docs.docker.com/compose/install/) estén instalados en tu máquina:
```bash
cd docker
docker compose up -d
```
Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador en [http://localhost/install](http://localhost/install) y comenzar el proceso de inicialización.
Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador en [http://localhost/install](http://localhost/install) y comenzar el proceso de instalación de inicialización.
> Si deseas contribuir a Dify o realizar desarrollo adicional, consulta nuestra [guía para implementar desde el código fuente](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
### Gráfico Helm
## Próximos pasos
Un gran agradecimiento a @BorisPolonsky por proporcionarnos una versión del [Gráfico Helm](https://helm.sh/), que permite implementar Dify en Kubernetes. Puedes visitar https://github.com/BorisPolonsky/dify-helm para obtener información sobre la implementación.
Si necesitas personalizar la configuración, consulta los comentarios en nuestro archivo [docker-compose.yml](docker/docker-compose.yaml) y configura manualmente la configuración del entorno
### Configuración
. Después de realizar los cambios, ejecuta `docker-compose up -d` nuevamente. Puedes ver la lista completa de variables de entorno [aquí](https://docs.dify.ai/getting-started/install-self-hosted/environments).
Si desea configurar una configuración de alta disponibilidad, la comunidad proporciona [Gráficos Helm](https://helm.sh/) y archivos YAML, a través de los cuales puede desplegar Dify en Kubernetes.
- [Gráfico Helm por @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Gráfico Helm por @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Ficheros YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
## Contribuir
Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en eventos y conferencias.
> Estamos buscando colaboradores para ayudar con la traducción de Dify a idiomas que no sean el mandarín o el inglés. Si estás interesado en ayudar, consulta el [README de i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) para obtener más información y déjanos un comentario en el canal `global-users` de nuestro [Servidor de Comunidad en 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>
## Comunidad y Contacto
* [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.
* [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>
Si necesitas personalizar la configuración, consulta los comentarios en nuestro archivo [docker-compose.yml](docker/docker-compose.yaml) y configura manualmente la configuración del entorno. Después de realizar los cambios, ejecuta nuevamente `docker-compose up -d`. Puedes ver la lista completa de variables de entorno en nuestra [documentación](https://docs.dify.ai/getting-started/install-self-hosted/environments).
## Historial de Estrellas
[![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Comunidad y Soporte
Te damos la bienvenida a contribuir a Dify para ayudar a hacer que Dify sea mejor de diversas maneras, enviando código, informando problemas, proponiendo nuevas ideas o compartiendo las aplicaciones de inteligencia artificial interesantes y útiles que hayas creado basadas en Dify. Al mismo tiempo, también te invitamos a compartir Dify en diferentes eventos, conferencias y redes sociales.
- [Problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores y problemas que encuentres al usar Dify.AI, consulta la [Guía de Contribución](CONTRIBUTING.md).
- [Soporte por Correo Electrónico](mailto:hello@dify.ai?subject=[GitHub]Preguntas%20sobre%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 socializar con la comunidad.
- [Twitter](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y socializar con la comunidad.
- [Licencia Comercial](mailto:business@dify.ai?subject=[GitHub]Consulta%20de%20Licencia%20Comercial). Lo mejor para: consultas comerciales sobre la licencia de Dify.AI para uso comercial.
## Divulgación de Seguridad
@ -249,4 +121,4 @@ 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.
Este repositorio está disponible bajo la [Licencia de Código Abierto Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

View File

@ -1,252 +1,127 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
[![](./images/describe.png)](https://dify.ai)
<p align="center">
<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://cal.com/guchenhe/dify-demo">Planifier une démo</a>
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a> |
<a href="./README_ES.md">Español</a> |
<a href="./README_KL.md">Klingon</a> |
<a href="./README_FR.md">Français</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Badge statique" src="https://img.shields.io/badge/Produit-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Badge statique" src="https://img.shields.io/badge/gratuit-Tarification?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></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 sur Discord"></a>
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
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="suivre sur Twitter"></a>
<img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
alt="follow on 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">
<img alt="Commits le mois dernier" 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="Problèmes fermés" 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="Messages de discussion" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
</p>
<p align="center">
<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>
<a href="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
</a>
</p>
#
<p align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
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>
**Dify** est une plateforme de développement d'applications LLM qui a déjà vu plus de **100,000** applications construites sur Dify.AI. Elle intègre les concepts de Backend as a Service et LLMOps, couvrant la pile technologique de base requise pour construire des applications natives d'IA générative, y compris un moteur RAG intégré. Avec Dify, **vous pouvez auto-déployer des capacités similaires aux API Assistants et GPT basées sur n'importe quels LLM.**
**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.
![](./images/demo.png)
## Utiliser les services cloud
L'utilisation de [Dify.AI Cloud](https://dify.ai) fournit toutes les capacités de la version open source, et comprend un essai gratuit de 200 crédits GPT.
## Pourquoi Dify
Dify présente une neutralité de modèle et est une pile technologique complète et conçue par rapport à des bibliothèques de développement codées en dur comme LangChain. Contrairement à l'API Assistants d'OpenAI, Dify permet un déploiement local complet des services.
| Fonctionnalité | Dify.AI | API Assistants | LangChain |
|---------------|----------|-----------------|------------|
| **Approche de programmation** | Orientée API | Orientée API | Orientée code Python |
| **Stratégie écosystème** | Open source | Fermé et commercial | Open source |
| **Moteur RAG** | Pris en charge | Pris en charge | Non pris en charge |
| **IDE d'invite** | Inclus | Inclus | Aucun |
| **LLM pris en charge** | Grande variété | Seulement GPT | Grande variété |
| **Déploiement local** | Pris en charge | Non pris en charge | Non applicable |
## Fonctionnalités
![](./images/models.png)
**1\. Support LLM**: Intégration avec la famille de modèles GPT d'OpenAI, ou les modèles de la famille open source Llama2. En fait, Dify prend en charge les modèles commerciaux grand public et les modèles open source (déployés localement ou basés sur MaaS).
**2\. IDE d'invite**: Orchestration visuelle d'applications et de services basés sur LLMs avec votre équipe.
**3\. Moteur RAG**: Comprend diverses capacités RAG basées sur l'indexation de texte intégral ou les embeddings de base de données vectorielles, permettant le chargement direct de PDF, TXT et autres formats de texte.
**4\. AI Agent**: Basé sur l'appel de fonction et ReAct, le framework d'inférence de l'Agent permet aux utilisateurs de personnaliser les outils, ce que vous voyez est ce que vous obtenez. Dify propose plus d'une douzaine de capacités d'appel d'outils intégrées, telles que la recherche Google, DELL·E, Diffusion Stable, WolframAlpha, etc.
**5\. Opérations continues**: Surveillez et analysez les journaux et les performances des applications, améliorez en continu les invites, les datasets ou les modèles à l'aide de données de production.
## Avant de commencer
**Étoilez-nous, et vous recevrez des notifications instantanées pour toutes les nouvelles sorties sur GitHub !**
![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
- [Site web](https://dify.ai)
- [Documentation](https://docs.dify.ai)
- [Documentation de déploiement](https://docs.dify.ai/getting-started/install-self-hosted)
- [FAQ](https://docs.dify.ai/getting-started/faq)
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
## Installer la version Communauté
### Configuration système
Avant d'installer Dify, assurez-vous que votre machine répond aux exigences minimales suivantes:
**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).
- CPU >= 2 cœurs
- RAM >= 4 Go
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
### Démarrage rapide
**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**:
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. Capac
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**:
Toutes les offres de Dify sont accompagnées d'API correspondantes, vous permettant d'intégrer facilement Dify dans votre propre logique métier.
## Comparaison des fonctionnalités
<table style="width: 100%;">
<tr>
<th align="center">Fonctionnalité</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">Approche de programmation</td>
<td align="center">API + Application</td>
<td align="center">Code Python</td>
<td align="center">Application</td>
<td align="center">API</td>
</tr>
<tr>
<td align="center">LLMs pris en charge</td>
<td align="center">Grande variété</td>
<td align="center">Grande variété</td>
<td align="center">Grande variété</td>
<td align="center">Uniquement OpenAI</td>
</tr>
<tr>
<td align="center">Moteur RAG</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">Flux de travail</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Observabilité</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Fonctionnalité d'entreprise (SSO/Contrôle d'accès)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Déploiement local</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## Utiliser Dify
- **Cloud </br>**
Nous hébergeons un service [Dify Cloud](https://dify.ai) pour que tout le monde puisse l'essayer sans aucune configuration. Il fournit toutes les capacités de la version auto-hébergée et comprend 200 appels GPT-4 gratuits dans le plan bac à sable.
- **Auto-hébergement Dify Community Edition</br>**
Lancez rapidement Dify dans votre environnement avec ce [guide de démarrage](#quick-start).
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. [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.
## Rester en avance
Mettez une étoile à Dify sur GitHub et soyez instantanément informé des nouvelles versions.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Démarrage rapide
> Avant d'installer Dify, assurez-vous que votre machine répond aux exigences système minimales suivantes:
>
>- CPU >= 2 cœurs
>- RAM >= 4 Go
</br>
La manière la plus simple de démarrer le serveur Dify est d'exécuter notre fichier [docker-compose.yml](docker/docker-compose.yaml). Avant d'exécuter la commande d'installation, assurez-vous que [Docker](https://docs.docker.com/get-docker/) et [Docker Compose](https://docs.docker.com/compose/install/) sont installés sur votre machine:
La façon la plus simple de démarrer le serveur Dify est d'exécuter notre fichier [docker-compose.yml](docker/docker-compose.yaml). Avant d'exécuter la commande d'installation, assurez-vous que [Docker](https://docs.docker.com/get-docker/) et [Docker Compose](https://docs.docker.com/compose/install/) sont installés sur votre machine:
```bash
cd docker
docker compose up -d
```
Après l'exécution, vous pouvez accéder au tableau de bord Dify dans votre navigateur à [http://localhost/install](http://localhost/install) et commencer le processus d'initialisation.
Après l'exécution, vous pouvez accéder au tableau de bord Dify dans votre navigateur à l'adresse [http://localhost/install](http://localhost/install) et démarrer le processus d'installation initiale.
> Si vous souhaitez contribuer à Dify ou effectuer un développement supplémentaire, consultez notre [guide de déploiement à partir du code source](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
### Chart Helm
## Prochaines étapes
Un grand merci à @BorisPolonsky pour nous avoir fourni une version [Helm Chart](https://helm.sh/) qui permet le déploiement de Dify sur Kubernetes.
Vous pouvez accéder à https://github.com/BorisPolonsky/dify-helm pour des informations de déploiement.
Si vous devez personnaliser la configuration, veuillez
### Configuration
vous référer aux commentaires dans notre fichier [docker-compose.yml](docker/docker-compose.yaml) et définir manuellement la configuration de l'environnement. Après avoir apporté les modifications, veuillez exécuter à nouveau `docker-compose up -d`. Vous pouvez voir la liste complète des variables d'environnement [ici](https://docs.dify.ai/getting-started/install-self-hosted/environments).
Si vous avez besoin de personnaliser la configuration, veuillez vous référer aux commentaires de notre fichier [docker-compose.yml](docker/docker-compose.yaml) et définir manuellement la configuration de l'environnement. Après avoir apporté les modifications, veuillez exécuter à nouveau `docker-compose up -d`. Vous trouverez la liste complète des variables d'environnement dans notre [documentation](https://docs.dify.ai/getting-started/install-self-hosted/environments).
Si vous souhaitez configurer une configuration haute disponibilité, la communauté fournit des [Helm Charts](https://helm.sh/) et des fichiers YAML, à travers lesquels vous pouvez déployer Dify sur Kubernetes.
## Historique d'étoiles
- [Helm Chart par @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart par @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Fichier YAML par @Winson-030](https://github.com/Winson-030/dify-kubernetes)
[![Diagramme de l'historique des étoiles](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Contribuer
## Communauté & Support
Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur les réseaux sociaux et lors d'événements et de conférences.
Nous vous invitons à contribuer à Dify pour aider à améliorer Dify de diverses manières, en soumettant du code, des problèmes, de nouvelles idées ou en partageant les applications d'IA intéressantes et utiles que vous avez créées sur la base de Dify. En même temps, nous vous invitons également à partager Dify lors de différents événements, conférences et réseaux sociaux.
- [Problèmes GitHub](https://github.com/langgenius/dify/issues). Idéal pour : les bogues et les erreurs que vous rencontrez en utilisant Dify.AI, voir le [Guide de contribution](CONTRIBUTING.md).
- [Support par courriel](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Idéal pour : les questions que vous avez au sujet de l'utilisation de Dify.AI.
- [Discord](https://discord.gg/FngNHpbcY7). Idéal pour : partager vos applications et discuter avec la communauté.
- [Twitter](https://twitter.com/dify_ai). Idéal pour : partager vos applications et discuter avec la communauté.
- [Licence commerciale](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Idéal pour : les demandes commerciales de licence de Dify.AI pour un usage commercial.
> Nous recherchons des contributeurs pour aider à traduire Dify dans des langues autres que le mandarin ou l'anglais. Si vous êtes intéressé à aider, veuillez consulter le [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) pour plus d'informations, et laissez-nous un commentaire dans le canal `global-users` de notre [Serveur communautaire Discord](https://discord.gg/8Tpq4AcN9c).
## Divulgation de la sécurité
**Contributeurs**
Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Envoyez plutôt vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Licence
## Communauté & Contact
* [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.
* [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
[![Graphique de l'historique des étoiles](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## 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.
Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement Apache 2.0 avec quelques restrictions supplémentaires.

View File

@ -1,247 +1,130 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
[![](./images/describe.png)](https://dify.ai)
<p align="center">
<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://cal.com/guchenhe/dify-demo">デモの予約</a>
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a> |
<a href="./README_ES.md">Español</a> |
<a href="./README_KL.md">Klingon</a> |
<a href="./README_FR.md">Français</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>
<img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></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でチャット"></a>
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
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="Twitterでフォロー"></a>
<img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
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">
<img alt="先月のコミット" 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="クローズされた問題" 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="ディスカッション投稿" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
</p>
<p align="center">
<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>
<a href="https://dify.ai/blog/dify-ai-unveils-ai-agent-creating-gpts-and-assistants-with-various-llms" target="_blank">
Dify.AI Unveils AI Agent: Creating GPTs and Assistants with Various LLMs
</a>
</p>
#
<p align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
"Difyは、既にDify.AI上で10万以上のアプリケーションが構築されているLLMアプリケーション開発プラットフォームです。バックエンド・アズ・ア・サービスとLLMOpsの概念を統合し、組み込みのRAGエンジンを含む、生成AIネイティブアプリケーションを構築するためのコアテックスタックをカバーしています。Difyを使用すると、どのLLMに基づいても、Assistants APIやGPTのような機能を自己デプロイすることができます。"
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ォームです。直感的なインターフェイスには、AIワークフロー、RAGパイプライン、エージェント機能、モデル管理、観測機能などが組み合わさっており、プロトタイプから生産まで迅速に進めることができます。以下の機能が含まれます
</br> </br>
Please note that translating complex technical terms can sometimes result in slight variations in meaning due to differences in language nuances.
**1. ワークフロー**:
強力なAIワークフローをビジュアルキャンバス上で構築し、テストできます。すべての機能、および以下の機能を使用できます。
![](./images/demo.png)
## クラウドサービスの利用
[Dify.AI Cloud](https://dify.ai) を使用すると、オープンソース版の全機能を利用でき、さらに200GPTのトライアルクレジットが無料で提供されます。
## Difyの利点
Difyはモデルニュートラルであり、LangChainのようなハードコードされた開発ライブラリと比較して、完全にエンジニアリングされた技術スタックを特徴としています。OpenAIのAssistants APIとは異なり、Difyではサービスの完全なローカルデプロイメントが可能です。
| 機能 | Dify.AI | Assistants API | LangChain |
|---------|---------|----------------|-----------|
| **プログラミングアプローチ** | API指向 | API指向 | Pythonコード指向 |
| **エコシステム戦略** | オープンソース | 閉鎖的かつ商業的 | オープンソース |
| **RAGエンジン** | サポート済み | サポート済み | 非サポート |
| **プロンプトIDE** | 含まれる | 含まれる | なし |
| **サポートされるLLMs** | 豊富な種類 | GPTのみ | 豊富な種類 |
| **ローカルデプロイメント** | サポート済み | 非サポート | 該当なし |
## 機能
![](./images/models.png)
**1\. LLMサポート**: OpenAIのGPTファミリーモデルやLlama2ファミリーのオープンソースモデルとの統合。 実際、Difyは主要な商用モデルとオープンソースモデル(ローカルでデプロイまたはMaaSベース)をサポートしています。
**2\. プロンプトIDE**: チームとのLLMベースのアプリケーションとサービスの視覚的なオーケストレーション。
**3\. RAGエンジン**: フルテキストインデックスまたはベクトルデータベース埋め込みに基づくさまざまなRAG機能を含み、PDF、TXT、その他のテキストフォーマットの直接アップロードを可能にします。
**4. AIエージェント**: 関数呼び出しとReActに基づくAgent推論フレームワークにより、ユーザーはツールをカスタマイズすることができます。Difyは、Google検索、DELL·E、Stable Diffusion、WolframAlphaなど、十数種類の組み込みツール呼び出し機能を提供しています。
**5\. 継続的運用**: アプリケーションログとパフォーマンスを監視および分析し、運用データを使用してプロンプト、データセット、またはモデルを継続的に改善します。
## 開始する前に
**私たちをスターして、GitHub上でのすべての新しいリリースに対する即時通知を受け取ります**
![私たちをスターして](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
- [Website](https://dify.ai)
- [Docs](https://docs.dify.ai)
- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
- [FAQ](https://docs.dify.ai/getting-started/faq)
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
## コミュニティエディションのインストール
### システム要件
Difyをインストールする前に、以下の最低限のシステム要件を満たしていることを確認してください
**2. 総合的なモデルサポート**:
数百ものプロプライエタリ/オープンソースのLLMと、数十もの推論プロバイダーおよびセルフホスティングソリューションとのシームレスな統合を提供します。GPT、Mistral、Llama3、OpenAI APIと互換性のあるすべてのモデルを統合されています。サポートされているモデルプロバイダーの完全なリストは[こちら](https://docs.dify.ai/getting-started/readme/model-providers)をご覧ください。
- CPU >= 2コア
- RAM >= 4GB
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
### クイックスタート
**3. プロンプトIDE**:
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、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。
**7. Backend-as-a-Service**:
すべての機能はAPIを提供されており、Difyを自分のビジネスロジックに簡単に統合できます。
## 機能比較
<table style="width: 100%;">
<tr>
<th align="center">機能</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">プログラミングアプローチ</td>
<td align="center">API + アプリ指向</td>
<td align="center">Pythonコード</td>
<td align="center">アプリ指向</td>
<td align="center">API指向</td>
</tr>
<tr>
<td align="center">サポートされているLLM</td>
<td align="center">バラエティ豊か</td>
<td align="center">バラエティ豊か</td>
<td align="center">バラエティ豊か</td>
<td align="center">OpenAIのみ</td>
</tr>
<tr>
<td align="center">RAGエンジン</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">エージェント</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">ワークフロー</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">観測性</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">エンタープライズ機能SSO/アクセス制御)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">ローカル展開</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## Difyの使用方法
- **クラウド </br>**
[こちら](https://dify.ai)のDify Cloudサービスを利用して、セットアップ不要で試すことができます。サンドボックスプランには、200回のGPT-4呼び出しが無料で含まれています。
- **Dify Community Editionのセルフホスティング</br>**
この[スタートガイド](#quick-start)を使用して、ローカル環境でDifyを簡単に実行できます。
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。[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オファリングどして、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
GitHub上でDifyにスターを付けることで、Difyに関する新しいニュースを受け取れます。
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## クイックスタート
> Difyをインストールする前に、お使いのマシンが以下の最小システム要件を満たしていることを確認してください
>
>- CPU >= 2コア
>- RAM >= 4GB
</br>
Difyサーバーを起動する最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml)ファイルを実行することです。インストールコマンドを実行する前に、マシンに[Docker](https://docs.docker.com/get-docker/)と[Docker Compose](https://docs.docker.com/compose/install/)がインストールされていることを確認してください。
Difyサーバーを始める最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml) ファイルを実行することです。インストールコマンドを実行する前に、マシンに [Docker](https://docs.docker.com/get-docker/) と [Docker Compose](https://docs.docker.com/compose/install/) がインストールされていることを確認してください:
```bash
cd docker
docker compose up -d
```
実行後、ブラウザで[http://localhost/install](http://localhost/install)にアクセスし、初期化プロセスを開始できます。
実行後、ブラウザで [http://localhost/install](http://localhost/install) にアクセスし、初期化インストールプロセスを開始できます。
> Difyに貢献したり、追加の開発を行う場合は、[ソースコードからのデプロイガイド](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)を参照してください。
### Helm Chart
## 次のステップ
@BorisPolonskyによる[Helm Chart](https://helm.sh/) バージョンを提供してくれて、大変感謝しています。これにより、DifyはKubernetes上にデプロイすることができます。
デプロイ情報については、https://github.com/BorisPolonsky/dify-helm をご覧ください。
環境設定をカスタマイズする場合は、[docker-compose.yml](docker/docker-compose.yaml)ファイル内のコメントを参照して、環境設定を手動で設定してください。変更を加えた後は、再び `docker-compose up -d` を実行してください。環境変数の完全なリストは[こちら](https://docs.dify.ai/getting-started/install-self-hosted/environments)をご覧ください。
### 設定
高可用性設定を設定する必要がある場合、コミュニティは[Helm Charts](https://helm.sh/)とYAMLファイルにより、DifyをKubernetesにデプロイすることができます。
- [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)
設定をカスタマイズする必要がある場合は、[docker-compose.yml](docker/docker-compose.yaml) ファイルのコメントを参照し、環境設定を手動で行ってください。変更を行った後は、もう一度 `docker-compose up -d` を実行してください。環境変数の完全なリストは、[ドキュメント](https://docs.dify.ai/getting-started/install-self-hosted/environments)で確認できます。
## 貢献
## スターヒストリー
コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)を参照してください。
同時に、DifyをSNSやイベント、カンファレンスで共有してサポートしていただけると幸いです。
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## コミュニティとサポート
> Difyを英語または中国語以外の言語に翻訳してくれる貢献者を募集しています。興味がある場合は、詳細については[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)を参照してください。また、[Discordコミュニティサーバー](https://discord.gg/8Tpq4AcN9c)の`global-users`チャンネルにコメントを残してください
Difyに貢献していただき、コードの提出、問題の報告、新しいアイデアの提供、またはDifyを基に作成した興味深く有用なAIアプリケーションの共有により、Difyをより良いものにするお手伝いを歓迎します。同時に、さまざまなイベント、会議、ソーシャルメディアでDifyを共有することも歓迎します
**貢献者**
- [GitHub Issues](https://github.com/langgenius/dify/issues)。最適な使用法Dify.AIの使用中に遭遇するバグやエラー、[貢献ガイド](CONTRIBUTING.md)を参照。
- [Email サポート](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。最適な使用法Dify.AIの使用に関する質問。
- [Discord](https://discord.gg/FngNHpbcY7)。最適な使用法:アプリケーションの共有とコミュニティとの交流。
- [Twitter](https://twitter.com/dify_ai)。最適な使用法:アプリケーションの共有とコミュニティとの交流。
- [ビジネスライセンス](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。最適な使用法Dify.AIを商業利用するためのビジネス関連の問い合わせ。
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## コミュニティ & お問い合わせ
* [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。
* [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>
## セキュリティ
プライバシー保護のため、GitHub へのセキュリティ問題の投稿は避けてください。代わりに、あなたの質問を security@dify.ai に送ってください。より詳細な回答を提供します。
## ライセンス
このリポジトリは、Dify Open Source License にいくつかの追加制限を加えた[Difyオープンソースライセンス](LICENSE)の下で利用可能です。
このリポジトリは、基本的にApache 2.0にいくつかの追加制限を加えた[Difyオープンソースライセンス](LICENSE)の下で利用できます。

View File

@ -1,251 +1,119 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
[![](./images/describe.png)](https://dify.ai)
<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://cal.com/guchenhe/dify-demo">Schedule demo</a>
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a> |
<a href="./README_ES.md">Español</a> |
<a href="./README_KL.md">Klingon</a> |
<a href="./README_FR.md">Français</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>
<img alt="Static Badge" src="https://img.shields.io/badge/AI-Dify?logo=AI&logoColor=%20%23f5f5f5&label=Dify&labelColor=%20%23155EEF&color=%23EAECF0"></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"
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord"
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"
<img src="https://img.shields.io/twitter/follow/dify_ai?style=social&logo=X"
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">
<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>
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web"></a>
</p>
<p align="center">
<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>
**Dify** Hoch LLM qorwI' pIqoDvam pagh laHta' je **100,000** pIqoDvamvam Dify.AI De'wI'. Dify leghpu' Backend chu' a Service teH LLMOps vItlhutlh, generative AI-native pIqoD teq wa'vam, vIyoD Built-in RAG engine. Dify, **'ej chenmoHmoH Hoch 'oHna' Assistant API 'ej GPTmey HoStaHbogh LLMmey.**
#
![](./images/demo.png)
<p align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
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>
## ngIl QaQ
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
[Dify.AI ngIl](https://dify.ai) pIm neHlaH 'ej ghaH. cha'logh wa' DIvI' 200 GPT trial credits.
## Dify WovmoH
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
Dify Daq rIn neutrality 'ej Hoch, LangChain tInHar HubwI'. maH Daqbe'law' Qawqar, OpenAI's Assistant API Daq local neH deployment.
| Qo'logh | Dify.AI | Assistants API | LangChain |
|---------|---------|----------------|-----------|
| **qet QaS** | API-oriented | API-oriented | Python Code-oriented |
| **Ecosystem Strategy** | Open Source | Closed and Commercial | Open Source |
| **RAG Engine** | Ha'qu' | Ha'qu' | ghoS Ha'qu' |
| **Prompt IDE** | jaH Include | jaH Include | qeylIS qaq |
| **qet LLMmey** | bo'Degh Hoch | GPTmey tIn | bo'Degh Hoch |
| **local deployment** | Ha'qu' | tInHa'qu' | tInHa'qu' ghogh |
## ruch
**2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
![](./images/models.png)
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**1. LLM tIq**: OpenAI's GPT Hur nISmoHvam neH vIngeH, wa' Llama2 Hur nISmoHvam. Heghlu'lu'pu' Dify mIw 'oH choH qay'be'.Daq commercial Hurmey 'ej Open Source Hurmey (maqtaHvIS pagh locally neH neH deployment HoSvam).
**2. Prompt IDE**: cha'logh wa' LLMmey Hoch janlu'pu' 'ej lughpu' choH qay'be'.
**3. Prompt IDE**:
Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.
**3. RAG Engine**: RAG vaD tIqpu' lo'taH indexing qor neH vector database wa' embeddings wIj, PDFs, TXTs, 'ej ghojmoHmoH HIq qorlIj je upload.
**4. RAG Pipeline**:
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.
**4. AI Agent**: Function Calling 'ej ReAct Daq Hurmey, Agent inference framework Hoch users customize tools, vaj 'oH QaQ. Dify Hoch loS ghaH 'ej wa'vatlh built-in tool calling capabilities, Google Search, DELL·E, Stable Diffusion, WolframAlpha, 'ej.
**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, DELL·E, Stable Diffusion and WolframAlpha.
**5. QaS muDHa'wI': cha'logh wa' pIq mI' logs 'ej quv yIn, vItlhutlh tIq 'e'wIj lo'taHmoHmoH Prompts, vItlhutlh, Hurmey ghaH production data jatlh.
**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.
## Do'wI' qabmey lo'taH
**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.
**maHvaD jatlhchugh, GitHub Daq Hoch chu' ghompu'vam tIqel yInob!**
![star-us](https://github.com/langgenius/dify/assets/100913391/95f37259-7370-4456-a9f0-0bc01ef8642f)
## Feature Comparison
<table style="width: 100%;">
<tr
- [Website](https://dify.ai)
- [Docs](https://docs.dify.ai)
- [lo'taHmoH Docs](https://docs.dify.ai/getting-started/install-self-hosted)
- [FAQ](https://docs.dify.ai/getting-started/faq)
>
<th align="center">Feature</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">Programming Approach</td>
<td align="center">API + App-oriented</td>
<td align="center">Python Code</td>
<td align="center">App-oriented</td>
<td align="center">API-oriented</td>
</tr>
<tr>
<td align="center">Supported LLMs</td>
<td align="center">Rich Variety</td>
<td align="center">Rich Variety</td>
<td align="center">Rich Variety</td>
<td align="center">OpenAI-only</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">Workflow</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Observability</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Enterprise Feature (SSO/Access control)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Local Deployment</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## Community Edition tu' yo'
## Using Dify
### System Qab
- **Cloud </br>**
We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
Dify yo' yo' qaqmeH SuS chenmoH 'oH qech!
- **Self-hosting Dify Community Edition</br>**
Quickly get Dify running in your environment with this [starter guide](#quick-start).
Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
- CPU >= 2 Cores
- RAM >= 4GB
- **Dify for Enterprise / Organizations</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.
### Quick Start
## 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)
## 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:
Dify server luHoHtaHlu' vIngeH lo'laHbe'chugh vIyoD [docker-compose.yml](docker/docker-compose.yaml) QorwI'ghach. toH yItlhutlh chenmoH luH!chugh 'ay' vaj vIneHmeH, 'ej [Docker](https://docs.docker.com/get-docker/) 'ej [Docker Compose](https://docs.docker.com/compose/install/) vaj 'oH 'e' vIneHmeH:
```bash
cd docker
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.
luHoHtaHmeH HoHtaHvIS, Dify dashboard vIneHmeH vIngeH lI'wI' [http://localhost/install](http://localhost/install) 'ej 'oH initialization 'e' vIneHmeH.
> 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)
### Helm Chart
## Next steps
@BorisPolonsky Dify wIq tIq ['ay'var (Helm Chart)](https://helm.sh/) version Hur yIn chu' Dify luHoHchu'. Heghlu'lu' vIneHmeH [https://github.com/BorisPolonsky/dify-helm](https://github.com/BorisPolonsky/dify-helm) 'ej vaj QaS deployment information.
If you need to customize the configuration, please refer to the comments in our [docker-compose.yml](docker/docker-compose.yaml) file and manually set the environment configuration. After making the changes, please run `docker-compose up -d` again. You can see the full list of environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
### veS config
If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes.
chenmoHDI' config lo'taH ghaH, vItlhutlh HIq wIgharghbe'lu'pu'. toH lo'taHvIS pagh vay' vIneHmeH, 'ej `docker-compose up -d` wa'DIch. tIqmoHmeH list full wa' lo'taHvo'lu'pu' ghaH [docs](https://docs.dify.ai/getting-started/install-self-hosted/environments).
- [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)
## tIng qem
## Contributing
[![tIng qem Hur Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
## choHmoH 'ej vItlhutlh
Dify choHmoH je mIw Dify puqloD, Dify ghaHta'bogh vItlhutlh, HurDI' code, ghItlh, ghItlh qo'lu'pu'pu' qej. tIqmeH, Hurmey je, Dify Hur tIqDI' woDDaj, DuD QangmeH 'ej HInobDaq vItlhutlh HImej Dify'e'.
> 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).
- [GitHub vItlhutlh](https://github.com/langgenius/dify/issues). Hurmey: bugs 'ej errors Dify.AI tIqmeH. yImej [Contribution Guide](CONTRIBUTING.md).
- [Email QaH](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify). Hurmey: questions vItlhutlh Dify.AI chaw'.
- [Discord](https://discord.gg/FngNHpbcY7). Hurmey: jIpuv 'ej jImej mIw Dify vItlhutlh.
- [Twitter](https://twitter.com/dify_ai). Hurmey: jIpuv 'ej jImej mIw Dify vItlhutlh.
- [Business License](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). Hurmey: qurgh vItlhutlh Hurmey Dify.AI tIqbe'law'.
**Contributors**
## bIQDaqmey bom
<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)
## Security Disclosure
To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
taghlI' vIngeH'a'? pong security 'oH posting GitHub. yItlhutlh, toH security@dify.ai 'ej vIngeH'a'.
## License
This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
ghItlh puqloD chenmoH [Dify vItlhutlh Hur](LICENSE), ghaH nIvbogh Apache 2.0.

View File

@ -1,243 +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 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://cal.com/guchenhe/60-min-meeting">기업 문의</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 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">
<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="한국어 README" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
</p>
Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:</br> </br>
**1. 워크플로우**:
다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 포괄적인 모델 지원:**:
수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/readme/model-providers)에서 확인할 수 있습니다.
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. 통합 개발환경**:
프롬프트를 작성하고, 모델 성능을 비교하며, 텍스트-음성 변환과 같은 추가 기능을 채팅 기반 앱에 추가할 수 있는 직관적인 인터페이스를 제공합니다.
**4. RAG 파이프라인**:
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, 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.
**7. Backend-as-a-Service**:
Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신의 비즈니스 로직에 쉽게 통합할 수 있습니다.
## 기능 비교
<table style="width: 100%;">
<tr>
<th align="center">기능</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">프로그래밍 접근 방식</td>
<td align="center">API + 앱 중심</td>
<td align="center">Python 코드</td>
<td align="center">앱 중심</td>
<td align="center">API 중심</td>
</tr>
<tr>
<td align="center">지원되는 LLMs</td>
<td align="center">다양한 종류</td>
<td align="center">다양한 종류</td>
<td align="center">다양한 종류</td>
<td align="center">OpenAI 전용</td>
</tr>
<tr>
<td align="center">RAG 엔진</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">에이전트</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">워크플로우</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">가시성</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">기업용 기능 (SSO/접근 제어)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">로컬 배포</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## Dify 사용하기
- **클라우드 </br>**
우리는 누구나 설정이 필요 없이 사용해 볼 수 있도록 [Dify 클라우드](https://dify.ai) 서비스를 호스팅합니다. 이는 자체 배포 버전의 모든 기능을 제공하며, 샌드박스 플랜에서 무료로 200회의 GPT-4 호출을 포함합니다.
- **셀프-호스팅 Dify 커뮤니티 에디션</br>**
환경에서 Dify를 빠르게 실행하려면 이 [스타터 가이드를](#quick-start) 참조하세요.
추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai)를 사용하세요.
- **기업 / 조직을 위한 Dify</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.
## 앞서가기
GitHub에서 Dify에 별표를 찍어 새로운 릴리스를 즉시 알림 받으세요.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## 빠른 시작
>Dify를 설치하기 전에 컴퓨터가 다음과 같은 최소 시스템 요구 사항을 충족하는지 확인하세요 :
>- CPU >= 2 Core
>- RAM >= 4GB
</br>
Dify 서버를 시작하는 가장 쉬운 방법은 [docker-compose.yml](docker/docker-compose.yaml) 파일을 실행하는 것입니다. 설치 명령을 실행하기 전에 [Docker](https://docs.docker.com/get-docker/) 및 [Docker Compose](https://docs.docker.com/compose/install/)가 머신에 설치되어 있는지 확인하세요.
```bash
cd docker
docker compose up -d
```
실행 후 브라우저의 [http://localhost/install](http://localhost/install) 에서 Dify 대시보드에 액세스하고 초기화 프로세스를 시작할 수 있습니다.
> Dify에 기여하거나 추가 개발을 하고 싶다면 소스 코드에서 [배포에 대한 가이드](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)를 참조하세요.
## 다음 단계
구성 커스터마이징이 필요한 경우, [docker-compose.yml](docker/docker-compose.yaml) 파일의 코멘트를 참조하여 환경 구성을 수동으로 설정하십시오. 변경 후 `docker-compose up -d` 를 다시 실행하십시오. 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/getting-started/install-self-hosted/environments)에서 확인할 수 있습니다.
Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했다는 커뮤니티가 제공하는 [Helm Charts](https://helm.sh/)와 YAML 파일이 존재합니다.
- [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)
## 기여
코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
동시에 Dify를 소셜 미디어와 행사 및 컨퍼런스에 공유하여 지원하는 것을 고려해 주시기 바랍니다.
> 우리는 Dify를 중국어나 영어 이외의 언어로 번역하는 데 도움을 줄 수 있는 기여자를 찾고 있습니다. 도움을 주고 싶으시다면 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요.
**기여자**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## 커뮤니티 & 연락처
* [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
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## 보안 공개
개인정보 보호를 위해 보안 문제를 GitHub에 게시하지 마십시오. 대신 security@dify.ai로 질문을 보내주시면 더 자세한 답변을 드리겠습니다.
## 라이선스
이 저장소는 기본적으로 몇 가지 추가 제한 사항이 있는 Apache 2.0인 [Dify 오픈 소스 라이선스](LICENSE)에 따라 사용할 수 있습니다.

View File

@ -1,3 +1,6 @@
# Server Edition
EDITION=SELF_HOSTED
# Your App secret key will be used for securely signing the session cookie
# Make sure you are changing this key for your deployment with a strong key.
# You can generate a strong key using `openssl rand -base64 42`.
@ -17,9 +20,6 @@ APP_WEB_URL=http://127.0.0.1:3000
# Files URL
FILES_URL=http://127.0.0.1:5001
# The time in seconds after the signature is rejected
FILES_ACCESS_TIMEOUT=300
# celery configuration
CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
@ -39,44 +39,20 @@ DB_DATABASE=dify
# Storage configuration
# use for store upload files, private keys...
# storage type: local, s3, azure-blob
# storage type: local, s3
STORAGE_TYPE=local
STORAGE_LOCAL_PATH=storage
S3_USE_AWS_MANAGED_IAM=false
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=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
ALIYUN_OSS_SECRET_KEY=your-secret-key
ALIYUN_OSS_ENDPOINT=your-endpoint
ALIYUN_OSS_AUTH_VERSION=v1
ALIYUN_OSS_REGION=your-region
# Google Storage configuration
GOOGLE_STORAGE_BUCKET_NAME=yout-bucket-name
GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON=your-google-service-account-json-base64-string
# Tencent COS Storage configuration
TENCENT_COS_BUCKET_NAME=your-bucket-name
TENCENT_COS_SECRET_KEY=your-secret-key
TENCENT_COS_SECRET_ID=your-secret-id
TENCENT_COS_REGION=your-region
TENCENT_COS_SCHEME=your-scheme
# 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, relyt, pgvecto_rs, pgvector
# Vector database configuration, support: weaviate, qdrant, milvus
VECTOR_STORE=weaviate
# Weaviate configuration
@ -89,8 +65,6 @@ WEAVIATE_BATCH_SIZE=100
QDRANT_URL=http://localhost:6333
QDRANT_API_KEY=difyai123456
QDRANT_CLIENT_TIMEOUT=20
QDRANT_GRPC_ENABLED=false
QDRANT_GRPC_PORT=6334
# Milvus configuration
MILVUS_HOST=127.0.0.1
@ -99,51 +73,6 @@ MILVUS_USER=root
MILVUS_PASSWORD=Milvus
MILVUS_SECURE=false
# Relyt configuration
RELYT_HOST=127.0.0.1
RELYT_PORT=5432
RELYT_USER=postgres
RELYT_PASSWORD=postgres
RELYT_DATABASE=postgres
# Tencent configuration
TENCENT_VECTOR_DB_URL=http://127.0.0.1
TENCENT_VECTOR_DB_API_KEY=dify
TENCENT_VECTOR_DB_TIMEOUT=30
TENCENT_VECTOR_DB_USERNAME=dify
TENCENT_VECTOR_DB_DATABASE=dify
TENCENT_VECTOR_DB_SHARD=1
TENCENT_VECTOR_DB_REPLICAS=2
# PGVECTO_RS configuration
PGVECTO_RS_HOST=localhost
PGVECTO_RS_PORT=5431
PGVECTO_RS_USER=postgres
PGVECTO_RS_PASSWORD=difyai123456
PGVECTO_RS_DATABASE=postgres
# PGVector configuration
PGVECTOR_HOST=127.0.0.1
PGVECTOR_PORT=5433
PGVECTOR_USER=postgres
PGVECTOR_PASSWORD=postgres
PGVECTOR_DATABASE=postgres
# Tidb Vector configuration
TIDB_VECTOR_HOST=xxx.eu-central-1.xxx.aws.tidbcloud.com
TIDB_VECTOR_PORT=4000
TIDB_VECTOR_USER=xxx.root
TIDB_VECTOR_PASSWORD=xxxxxx
TIDB_VECTOR_DATABASE=dify
# Chroma configuration
CHROMA_HOST=127.0.0.1
CHROMA_PORT=8000
CHROMA_TENANT=default_tenant
CHROMA_DATABASE=default_database
CHROMA_AUTH_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider
CHROMA_AUTH_CREDENTIALS=difyai123456
# Upload configuration
UPLOAD_FILE_SIZE_LIMIT=15
UPLOAD_FILE_BATCH_LIMIT=5
@ -159,11 +88,10 @@ RESEND_API_KEY=
RESEND_API_URL=https://api.resend.com
# smtp configuration
SMTP_SERVER=smtp.gmail.com
SMTP_PORT=465
SMTP_PORT=587
SMTP_USERNAME=123
SMTP_PASSWORD=abc
SMTP_USE_TLS=true
SMTP_OPPORTUNISTIC_TLS=false
SMTP_USE_TLS=false
# Sentry configuration
SENTRY_DSN=
@ -178,49 +106,29 @@ NOTION_CLIENT_SECRET=you-client-secret
NOTION_CLIENT_ID=you-client-id
NOTION_INTERNAL_SECRET=you-internal-secret
# Hosted Model Credentials
HOSTED_OPENAI_API_KEY=
HOSTED_OPENAI_API_BASE=
HOSTED_OPENAI_API_ORGANIZATION=
HOSTED_OPENAI_TRIAL_ENABLED=false
HOSTED_OPENAI_QUOTA_LIMIT=200
HOSTED_OPENAI_PAID_ENABLED=false
HOSTED_AZURE_OPENAI_ENABLED=false
HOSTED_AZURE_OPENAI_API_KEY=
HOSTED_AZURE_OPENAI_API_BASE=
HOSTED_AZURE_OPENAI_QUOTA_LIMIT=200
HOSTED_ANTHROPIC_API_BASE=
HOSTED_ANTHROPIC_API_KEY=
HOSTED_ANTHROPIC_TRIAL_ENABLED=false
HOSTED_ANTHROPIC_QUOTA_LIMIT=600000
HOSTED_ANTHROPIC_PAID_ENABLED=false
ETL_TYPE=dify
UNSTRUCTURED_API_URL=
UNSTRUCTURED_API_KEY=
SSRF_PROXY_HTTP_URL=
SSRF_PROXY_HTTPS_URL=
BATCH_UPLOAD_LIMIT=10
KEYWORD_DATA_SOURCE_TYPE=database
# CODE EXECUTION CONFIGURATION
CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194
CODE_EXECUTION_API_KEY=dify-sandbox
CODE_MAX_NUMBER=9223372036854775807
CODE_MIN_NUMBER=-9223372036854775808
CODE_MAX_STRING_LENGTH=80000
TEMPLATE_TRANSFORM_MAX_LENGTH=80000
CODE_MAX_STRING_ARRAY_LENGTH=30
CODE_MAX_OBJECT_ARRAY_LENGTH=30
CODE_MAX_NUMBER_ARRAY_LENGTH=1000
# API Tool configuration
API_TOOL_DEFAULT_CONNECT_TIMEOUT=10
API_TOOL_DEFAULT_READ_TIMEOUT=60
# HTTP Node configuration
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 # 10MB
HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 # 1MB
# Log file path
LOG_FILE=
# Indexing configuration
INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
# Workflow runtime configuration
WORKFLOW_MAX_EXECUTION_STEPS=500
WORKFLOW_MAX_EXECUTION_TIME=1200
WORKFLOW_CALL_MAX_DEPTH=5
# App configuration
APP_MAX_EXECUTION_TIME=1200

View File

@ -6,7 +6,7 @@
"configurations": [
{
"name": "Python: Celery",
"type": "debugpy",
"type": "python",
"request": "launch",
"module": "celery",
"justMyCode": true,
@ -17,12 +17,11 @@
"FLASK_DEBUG": "1",
"GEVENT_SUPPORT": "True"
},
"console": "integratedTerminal",
"python": "${command:python.interpreterPath}"
"console": "integratedTerminal"
},
{
"name": "Python: Flask",
"type": "debugpy",
"type": "python",
"request": "launch",
"module": "flask",
"env": {
@ -37,8 +36,7 @@
"--debug"
],
"jinja": true,
"justMyCode": true,
"python": "${command:python.interpreterPath}"
"justMyCode": true
}
]
}

View File

@ -11,8 +11,7 @@ RUN apt-get update \
COPY requirements.txt /requirements.txt
RUN --mount=type=cache,target=/root/.cache/pip \
pip install --prefix=/pkg -r requirements.txt
RUN pip install --prefix=/pkg -r requirements.txt
# production stage
FROM base AS production

View File

@ -5,125 +5,28 @@
1. Start the docker-compose stack
The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using `docker-compose`.
```bash
cd ../docker
docker-compose -f docker-compose.middleware.yaml -p dify up -d
cd ../api
```
2. Copy `.env.example` to `.env`
3. Generate a `SECRET_KEY` in the `.env` file.
```bash for Linux
sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
```
```bash for Mac
secret_key=$(openssl rand -base64 42)
sed -i '' "/^SECRET_KEY=/c\\
SECRET_KEY=${secret_key}" .env
```
4. Create environment.
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
> Using pip can be found [below](#usage-with-pip).
5. Install dependencies
=======
```bash
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 $(cat requirements-dev.txt) --group dev # install dependencies of development and update pyproject.toml
```
6. Run migrate
Before the first launch, migrate the database to the latest version.
```bash
poetry run python -m flask db upgrade
```
7. Start backend
```bash
poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug
```
8. Start Dify [web](../web) service.
9. Setup your application by visiting `http://localhost:3000`...
10. If you need to debug local async processing, please start the worker service.
```bash
poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail
```
The started celery app handles the async tasks, e.g. dataset importing and documents indexing.
## Testing
1. Install dependencies for both the backend and the test environment
```bash
poetry install --with dev
```
2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
```bash
cd ../
poetry run -C api bash dev/pytest/pytest_all_tests.sh
```
## Usage with pip
> [!NOTE]
> In the next version, we will deprecate pip as the primary package management tool for dify api service, currently Poetry and pip coexist.
1. Start the docker-compose stack
The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using `docker-compose`.
```bash
cd ../docker
docker-compose -f docker-compose.middleware.yaml -p dify up -d
cd ../api
```
2. Copy `.env.example` to `.env`
3. Generate a `SECRET_KEY` in the `.env` file.
```bash
sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
openssl rand -base64 42
```
4. Create environment.
If you use Anaconda, create a new environment and activate it
3.5 If you use annaconda, create a new environment and activate it
```bash
conda create --name dify python=3.10
conda activate dify
```
5. Install dependencies
4. Install dependencies
```bash
pip install -r requirements.txt
```
6. Run migrate
5. Run migrate
Before the first launch, migrate the database to the latest version.
@ -131,17 +34,22 @@
flask db upgrade
```
7. Start backend:
⚠️ If you encounter problems with jieba, for example
```
> flask db upgrade
Error: While importing 'app', an ImportError was raised:
```
Please run the following command instead.
```
pip install -r requirements.txt --upgrade --force-reinstall
```
6. Start backend:
```bash
flask run --host 0.0.0.0 --port=5001 --debug
```
8. Setup your application by visiting <http://localhost:5001/console/api/setup> or other apis...
9. If you need to debug local async processing, please start the worker service.
```bash
celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail
```
The started celery app handles the async tasks, e.g. dataset importing and documents indexing.
7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
8. If you need to debug local async processing, you can run `celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail`, celery can do dataset importing and other async tasks.

View File

@ -1,35 +1,31 @@
import os
from werkzeug.exceptions import Unauthorized
if not os.environ.get("DEBUG") or os.environ.get("DEBUG").lower() != 'true':
from gevent import monkey
monkey.patch_all()
# if os.environ.get("VECTOR_STORE") == 'milvus':
import grpc.experimental.gevent
grpc.experimental.gevent.init_gevent()
import langchain
langchain.verbose = True
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
from config import Config
# DO NOT REMOVE BELOW
from events import event_handlers
from config import CloudEditionConfig, Config
from extensions import (
ext_celery,
ext_code_based_extension,
ext_compress,
ext_database,
ext_hosting_provider,
ext_login,
@ -42,9 +38,11 @@ from extensions import (
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 BELOW
from events import event_handlers
from models import account, dataset, model, source, task, tool, tools, web
# DO NOT REMOVE ABOVE
@ -52,7 +50,7 @@ warnings.simplefilter("ignore", ResourceWarning)
# fix windows platform
if os.name == "nt":
os.system('tzutil /s "UTC"')
os.system('tzutil /s "UTC"')
else:
os.environ['TZ'] = 'UTC'
time.tzset()
@ -61,7 +59,6 @@ else:
class DifyApp(Flask):
pass
# -------------
# Configuration
# -------------
@ -69,38 +66,25 @@ class DifyApp(Flask):
config_type = os.getenv('EDITION', default='SELF_HOSTED') # ce edition first
# ----------------------------
# Application Factory Function
# ----------------------------
def create_app() -> Flask:
def create_app(test_config=None) -> Flask:
app = DifyApp(__name__)
app.config.from_object(Config())
if test_config:
app.config.from_object(test_config)
else:
if config_type == "CLOUD":
app.config.from_object(CloudEditionConfig())
else:
app.config.from_object(Config())
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
)
logging.basicConfig(level=app.config.get('LOG_LEVEL', 'INFO'))
initialize_extensions(app)
register_blueprints(app)
@ -112,7 +96,6 @@ def create_app() -> Flask:
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)
@ -129,7 +112,7 @@ def initialize_extensions(app):
@login_manager.request_loader
def load_user_from_request(request_from_flask_login):
"""Load user based on the request."""
if request.blueprint in ['console', 'inner_api']:
if request.blueprint == 'console':
# Check if the user_id contains a dot, indicating the old format
auth_header = request.headers.get('Authorization', '')
if not auth_header:
@ -165,7 +148,6 @@ def unauthorized_handler():
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
@ -203,13 +185,12 @@ def register_blueprints(app):
)
app.register_blueprint(files_bp)
app.register_blueprint(inner_api_bp)
# create app
app = create_app()
celery = app.extensions["celery"]
if app.config['TESTING']:
print("App is running in TESTING mode")

View File

@ -1,28 +1,22 @@
import base64
import json
import logging
import secrets
from typing import Optional
import click
from flask import current_app
from werkzeug.exceptions import NotFound
from constants.languages import languages
from core.rag.datasource.vdb.vector_factory import Vector
from core.rag.datasource.vdb.vector_type import VectorType
from core.rag.models.document import Document
from extensions.ext_database import db
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.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.model import Account, App, AppAnnotationSetting, MessageAnnotation
from models.provider import Provider, ProviderModel
from services.account_service import RegisterService, TenantService
@click.command('reset-password', help='Reset the account password.')
@ -63,7 +57,7 @@ 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('Congratulations! Password has been reset.', fg='green'))
click.echo(click.style('Congratulations!, password has been reset.', fg='green'))
@click.command('reset-email', help='Reset the account email.')
@ -115,20 +109,19 @@ def reset_encrypt_key_pair():
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('Sorry, no workspace found. Please enter /install to initialize.', fg='red'))
return
tenant = db.session.query(Tenant).first()
if not tenant:
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)
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(ProviderModel).filter(ProviderModel.tenant_id == tenant.id).delete()
db.session.commit()
db.session.query(Provider).filter(Provider.provider_type == 'custom').delete()
db.session.query(ProviderModel).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.')
@ -261,7 +254,7 @@ def migrate_knowledge_vector_database():
for dataset in datasets:
total_count = total_count + 1
click.echo(f'Processing the {total_count} dataset {dataset.id}. '
+ f'{create_count} created, {skipped_count} skipped.')
+ f'{create_count} created, ${skipped_count} skipped.')
try:
click.echo('Create dataset vdb index: {}'.format(dataset.id))
if dataset.index_struct_dict:
@ -269,15 +262,15 @@ def migrate_knowledge_vector_database():
skipped_count = skipped_count + 1
continue
collection_name = ''
if vector_type == VectorType.WEAVIATE:
if vector_type == "weaviate":
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.WEAVIATE,
"type": 'weaviate',
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.QDRANT:
elif vector_type == "qdrant":
if dataset.collection_binding_id:
dataset_collection_binding = db.session.query(DatasetCollectionBinding). \
filter(DatasetCollectionBinding.id == dataset.collection_binding_id). \
@ -290,45 +283,21 @@ def migrate_knowledge_vector_database():
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
index_struct_dict = {
"type": VectorType.QDRANT,
"type": 'qdrant',
"vector_store": {"class_prefix": collection_name}
}
dataset.index_struct = json.dumps(index_struct_dict)
elif vector_type == VectorType.MILVUS:
elif vector_type == "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,
"type": 'milvus',
"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.")
raise ValueError(f"Vector store {config.get('VECTOR_STORE')} is not supported.")
vector = Vector(dataset)
click.echo(f"Start to migrate dataset {dataset.id}.")
@ -401,188 +370,8 @@ def migrate_knowledge_vector_database():
fg='green'))
@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('Start convert to agent apps.', fg='green'))
proceeded_app_ids = []
while True:
# 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
AND (
am.agent_mode like '%"strategy": "function_call"%'
OR am.agent_mode like '%"strategy": "react"%'
)
AND (
am.agent_mode like '{"enabled": true%'
OR am.agent_mode like '{"max_iteration": %'
) ORDER BY a.created_at DESC LIMIT 1000
"""
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query))
apps = []
for i in rs:
app_id = str(i.id)
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()
apps.append(app)
if len(apps) == 0:
break
for app in apps:
click.echo('Converting app: {}'.format(app.id))
try:
app.mode = AppMode.AGENT_CHAT.value
db.session.commit()
# update conversation mode to agent
db.session.query(Conversation).filter(Conversation.app_id == app.id).update(
{Conversation.mode: AppMode.AGENT_CHAT.value}
)
db.session.commit()
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('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.')
def add_qdrant_doc_id_index(field: str):
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('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('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:
qdrant_config = QdrantConfig(
endpoint=config.get('QDRANT_URL'),
api_key=config.get('QDRANT_API_KEY'),
root_path=current_app.root_path,
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)
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, 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, collection_name:{binding.collection_name}.', fg='red'))
except Exception as e:
click.echo(click.style('Failed to create qdrant client.', fg='red'))
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='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('Sorry, email is required.', fg='red'))
return
# Create account
email = email.strip()
if '@' not in email:
click.echo(click.style('Sorry, invalid email address.', fg='red'))
return
account_name = email.split('@')[0]
if language not in languages:
language = 'en-US'
# generate random password
new_password = secrets.token_urlsafe(16)
# register account
account = RegisterService.register(
email=email,
name=account_name,
password=new_password,
language=language
)
TenantService.create_owner_tenant_if_not_exist(account)
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)
if lock.acquire(blocking=False):
try:
click.echo(click.style('Start database migration.', fg='green'))
# run db migration
import flask_migrate
flask_migrate.upgrade()
click.echo(click.style('Database migration successful!', fg='green'))
except Exception as e:
logging.exception(f'Database migration failed, error: {e}')
finally:
lock.release()
else:
click.echo('Database migration skipped')
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)

View File

@ -5,7 +5,6 @@ import dotenv
dotenv.load_dotenv()
DEFAULTS = {
'EDITION': 'SELF_HOSTED',
'DB_USERNAME': 'postgres',
'DB_PASSWORD': '',
'DB_HOST': 'localhost',
@ -23,36 +22,25 @@ DEFAULTS = {
'SERVICE_API_URL': 'https://api.dify.ai',
'APP_WEB_URL': 'https://udify.app',
'FILES_URL': '',
'FILES_ACCESS_TIMEOUT': 300,
'S3_USE_AWS_MANAGED_IAM': 'False',
'S3_ADDRESS_STYLE': 'auto',
'STORAGE_TYPE': 'local',
'STORAGE_LOCAL_PATH': 'storage',
'CHECK_UPDATE_URL': 'https://updates.dify.ai',
'DEPLOY_ENV': 'PRODUCTION',
'SQLALCHEMY_DATABASE_URI_SCHEME': 'postgresql',
'SQLALCHEMY_POOL_SIZE': 30,
'SQLALCHEMY_MAX_OVERFLOW': 10,
'SQLALCHEMY_POOL_RECYCLE': 3600,
'SQLALCHEMY_POOL_PRE_PING': 'False',
'SQLALCHEMY_ECHO': 'False',
'SENTRY_TRACES_SAMPLE_RATE': 1.0,
'SENTRY_PROFILES_SAMPLE_RATE': 1.0,
'WEAVIATE_GRPC_ENABLED': 'True',
'WEAVIATE_BATCH_SIZE': 100,
'QDRANT_CLIENT_TIMEOUT': 20,
'QDRANT_GRPC_ENABLED': 'False',
'QDRANT_GRPC_PORT': '6334',
'CELERY_BACKEND': 'database',
'LOG_LEVEL': 'INFO',
'LOG_FILE': '',
'LOG_FORMAT': '%(asctime)s.%(msecs)03d %(levelname)s [%(threadName)s] [%(filename)s:%(lineno)d] - %(message)s',
'LOG_DATEFORMAT': '%Y-%m-%d %H:%M:%S',
'HOSTED_OPENAI_QUOTA_LIMIT': 200,
'HOSTED_OPENAI_TRIAL_ENABLED': 'False',
'HOSTED_OPENAI_TRIAL_MODELS': '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_PAID_ENABLED': 'False',
'HOSTED_OPENAI_PAID_MODELS': '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',
'HOSTED_OPENAI_PAID_MODELS': 'gpt-4,gpt-4-turbo-preview,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',
'HOSTED_AZURE_OPENAI_ENABLED': 'False',
'HOSTED_AZURE_OPENAI_QUOTA_LIMIT': 200,
'HOSTED_ANTHROPIC_QUOTA_LIMIT': 600000,
@ -60,8 +48,6 @@ DEFAULTS = {
'HOSTED_ANTHROPIC_PAID_ENABLED': 'False',
'HOSTED_MODERATION_ENABLED': 'False',
'HOSTED_MODERATION_PROVIDERS': '',
'HOSTED_FETCH_APP_TEMPLATES_MODE': 'remote',
'HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN': 'https://tmpl.dify.ai',
'CLEAN_DAY_SETTING': 30,
'UPLOAD_FILE_SIZE_LIMIT': 15,
'UPLOAD_FILE_BATCH_LIMIT': 5,
@ -71,22 +57,9 @@ DEFAULTS = {
'INVITE_EXPIRY_HOURS': 72,
'BILLING_ENABLED': 'False',
'CAN_REPLACE_LOGO': 'False',
'MODEL_LB_ENABLED': 'False',
'ETL_TYPE': 'dify',
'KEYWORD_STORE': 'jieba',
'BATCH_UPLOAD_LIMIT': 20,
'CODE_EXECUTION_ENDPOINT': 'http://sandbox:8194',
'CODE_EXECUTION_API_KEY': 'dify-sandbox',
'TOOL_ICON_CACHE_MAX_AGE': 3600,
'MILVUS_DATABASE': 'default',
'KEYWORD_DATA_SOURCE_TYPE': 'database',
'INNER_API': 'False',
'ENTERPRISE_ENABLED': 'False',
'INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH': 1000,
'WORKFLOW_MAX_EXECUTION_STEPS': 500,
'WORKFLOW_MAX_EXECUTION_TIME': 1200,
'WORKFLOW_CALL_MAX_DEPTH': 5,
'APP_MAX_EXECUTION_TIME': 1200,
'BATCH_UPLOAD_LIMIT': 20
}
@ -117,16 +90,12 @@ class Config:
# ------------------------
# General Configurations.
# ------------------------
self.CURRENT_VERSION = "0.6.11"
self.CURRENT_VERSION = "0.5.8"
self.COMMIT_SHA = get_env('COMMIT_SHA')
self.EDITION = get_env('EDITION')
self.EDITION = "SELF_HOSTED"
self.DEPLOY_ENV = get_env('DEPLOY_ENV')
self.TESTING = False
self.LOG_LEVEL = get_env('LOG_LEVEL')
self.LOG_FILE = get_env('LOG_FILE')
self.LOG_FORMAT = get_env('LOG_FORMAT')
self.LOG_DATEFORMAT = get_env('LOG_DATEFORMAT')
self.API_COMPRESSION_ENABLED = get_bool_env('API_COMPRESSION_ENABLED')
# The backend URL prefix of the console API.
# used to concatenate the login authorization callback or notion integration callback.
@ -149,21 +118,12 @@ class Config:
# Url is signed and has expiration time.
self.FILES_URL = get_env('FILES_URL') if get_env('FILES_URL') else self.CONSOLE_API_URL
# File Access Time specifies a time interval in seconds for the file to be accessed.
# The default value is 300 seconds.
self.FILES_ACCESS_TIMEOUT = int(get_env('FILES_ACCESS_TIMEOUT'))
# Your App secret key will be used for securely signing the session cookie
# Make sure you are changing this key for your deployment with a strong key.
# You can generate a strong key using `openssl rand -base64 42`.
# Alternatively you can set it with `SECRET_KEY` environment variable.
self.SECRET_KEY = get_env('SECRET_KEY')
# Enable or disable the inner API.
self.INNER_API = get_bool_env('INNER_API')
# The inner API key is used to authenticate the inner API.
self.INNER_API_KEY = get_env('INNER_API_KEY')
# cors settings
self.CONSOLE_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
'CONSOLE_CORS_ALLOW_ORIGINS', self.CONSOLE_WEB_URL)
@ -180,17 +140,13 @@ class Config:
key: get_env(key) for key in
['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE', 'DB_CHARSET']
}
self.SQLALCHEMY_DATABASE_URI_SCHEME = get_env('SQLALCHEMY_DATABASE_URI_SCHEME')
db_extras = f"?client_encoding={db_credentials['DB_CHARSET']}" if db_credentials['DB_CHARSET'] else ""
self.SQLALCHEMY_DATABASE_URI = f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
self.SQLALCHEMY_ENGINE_OPTIONS = {
'pool_size': int(get_env('SQLALCHEMY_POOL_SIZE')),
'max_overflow': int(get_env('SQLALCHEMY_MAX_OVERFLOW')),
'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE')),
'pool_pre_ping': get_bool_env('SQLALCHEMY_POOL_PRE_PING'),
'connect_args': {'options': '-c timezone=UTC'},
'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE'))
}
self.SQLALCHEMY_ECHO = get_bool_env('SQLALCHEMY_ECHO')
@ -214,65 +170,27 @@ class Config:
if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
self.BROKER_USE_SSL = self.CELERY_BROKER_URL.startswith('rediss://')
# ------------------------
# Code Execution Sandbox Configurations.
# ------------------------
self.CODE_EXECUTION_ENDPOINT = get_env('CODE_EXECUTION_ENDPOINT')
self.CODE_EXECUTION_API_KEY = get_env('CODE_EXECUTION_API_KEY')
# ------------------------
# File Storage Configurations.
# ------------------------
self.STORAGE_TYPE = get_env('STORAGE_TYPE')
self.STORAGE_LOCAL_PATH = get_env('STORAGE_LOCAL_PATH')
# S3 Storage settings
self.S3_USE_AWS_MANAGED_IAM = get_bool_env('S3_USE_AWS_MANAGED_IAM')
self.S3_ENDPOINT = get_env('S3_ENDPOINT')
self.S3_BUCKET_NAME = get_env('S3_BUCKET_NAME')
self.S3_ACCESS_KEY = get_env('S3_ACCESS_KEY')
self.S3_SECRET_KEY = get_env('S3_SECRET_KEY')
self.S3_REGION = get_env('S3_REGION')
self.S3_ADDRESS_STYLE = get_env('S3_ADDRESS_STYLE')
# Azure Blob Storage settings
self.AZURE_BLOB_ACCOUNT_NAME = get_env('AZURE_BLOB_ACCOUNT_NAME')
self.AZURE_BLOB_ACCOUNT_KEY = get_env('AZURE_BLOB_ACCOUNT_KEY')
self.AZURE_BLOB_CONTAINER_NAME = get_env('AZURE_BLOB_CONTAINER_NAME')
self.AZURE_BLOB_ACCOUNT_URL = get_env('AZURE_BLOB_ACCOUNT_URL')
# Aliyun Storage settings
self.ALIYUN_OSS_BUCKET_NAME = get_env('ALIYUN_OSS_BUCKET_NAME')
self.ALIYUN_OSS_ACCESS_KEY = get_env('ALIYUN_OSS_ACCESS_KEY')
self.ALIYUN_OSS_SECRET_KEY = get_env('ALIYUN_OSS_SECRET_KEY')
self.ALIYUN_OSS_ENDPOINT = get_env('ALIYUN_OSS_ENDPOINT')
self.ALIYUN_OSS_REGION = get_env('ALIYUN_OSS_REGION')
self.ALIYUN_OSS_AUTH_VERSION = get_env('ALIYUN_OSS_AUTH_VERSION')
# Google Cloud Storage settings
self.GOOGLE_STORAGE_BUCKET_NAME = get_env('GOOGLE_STORAGE_BUCKET_NAME')
self.GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64 = get_env('GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64')
# Tencent Cos Storage settings
self.TENCENT_COS_BUCKET_NAME = get_env('TENCENT_COS_BUCKET_NAME')
self.TENCENT_COS_REGION = get_env('TENCENT_COS_REGION')
self.TENCENT_COS_SECRET_ID = get_env('TENCENT_COS_SECRET_ID')
self.TENCENT_COS_SECRET_KEY = get_env('TENCENT_COS_SECRET_KEY')
self.TENCENT_COS_SCHEME = get_env('TENCENT_COS_SCHEME')
# ------------------------
# Vector Store Configurations.
# Currently, only support: qdrant, milvus, zilliz, weaviate, relyt, pgvector
# Currently, only support: qdrant, milvus, zilliz, weaviate
# ------------------------
self.VECTOR_STORE = get_env('VECTOR_STORE')
self.KEYWORD_STORE = get_env('KEYWORD_STORE')
# qdrant settings
self.QDRANT_URL = get_env('QDRANT_URL')
self.QDRANT_API_KEY = get_env('QDRANT_API_KEY')
self.QDRANT_CLIENT_TIMEOUT = get_env('QDRANT_CLIENT_TIMEOUT')
self.QDRANT_GRPC_ENABLED = get_env('QDRANT_GRPC_ENABLED')
self.QDRANT_GRPC_PORT = get_env('QDRANT_GRPC_PORT')
# milvus / zilliz setting
self.MILVUS_HOST = get_env('MILVUS_HOST')
@ -280,7 +198,6 @@ class Config:
self.MILVUS_USER = get_env('MILVUS_USER')
self.MILVUS_PASSWORD = get_env('MILVUS_PASSWORD')
self.MILVUS_SECURE = get_env('MILVUS_SECURE')
self.MILVUS_DATABASE = get_env('MILVUS_DATABASE')
# weaviate settings
self.WEAVIATE_ENDPOINT = get_env('WEAVIATE_ENDPOINT')
@ -288,52 +205,6 @@ class Config:
self.WEAVIATE_GRPC_ENABLED = get_bool_env('WEAVIATE_GRPC_ENABLED')
self.WEAVIATE_BATCH_SIZE = int(get_env('WEAVIATE_BATCH_SIZE'))
# relyt settings
self.RELYT_HOST = get_env('RELYT_HOST')
self.RELYT_PORT = get_env('RELYT_PORT')
self.RELYT_USER = get_env('RELYT_USER')
self.RELYT_PASSWORD = get_env('RELYT_PASSWORD')
self.RELYT_DATABASE = get_env('RELYT_DATABASE')
# tencent settings
self.TENCENT_VECTOR_DB_URL = get_env('TENCENT_VECTOR_DB_URL')
self.TENCENT_VECTOR_DB_API_KEY = get_env('TENCENT_VECTOR_DB_API_KEY')
self.TENCENT_VECTOR_DB_TIMEOUT = get_env('TENCENT_VECTOR_DB_TIMEOUT')
self.TENCENT_VECTOR_DB_USERNAME = get_env('TENCENT_VECTOR_DB_USERNAME')
self.TENCENT_VECTOR_DB_DATABASE = get_env('TENCENT_VECTOR_DB_DATABASE')
self.TENCENT_VECTOR_DB_SHARD = get_env('TENCENT_VECTOR_DB_SHARD')
self.TENCENT_VECTOR_DB_REPLICAS = get_env('TENCENT_VECTOR_DB_REPLICAS')
# pgvecto rs settings
self.PGVECTO_RS_HOST = get_env('PGVECTO_RS_HOST')
self.PGVECTO_RS_PORT = get_env('PGVECTO_RS_PORT')
self.PGVECTO_RS_USER = get_env('PGVECTO_RS_USER')
self.PGVECTO_RS_PASSWORD = get_env('PGVECTO_RS_PASSWORD')
self.PGVECTO_RS_DATABASE = get_env('PGVECTO_RS_DATABASE')
# pgvector settings
self.PGVECTOR_HOST = get_env('PGVECTOR_HOST')
self.PGVECTOR_PORT = get_env('PGVECTOR_PORT')
self.PGVECTOR_USER = get_env('PGVECTOR_USER')
self.PGVECTOR_PASSWORD = get_env('PGVECTOR_PASSWORD')
self.PGVECTOR_DATABASE = get_env('PGVECTOR_DATABASE')
# tidb-vector settings
self.TIDB_VECTOR_HOST = get_env('TIDB_VECTOR_HOST')
self.TIDB_VECTOR_PORT = get_env('TIDB_VECTOR_PORT')
self.TIDB_VECTOR_USER = get_env('TIDB_VECTOR_USER')
self.TIDB_VECTOR_PASSWORD = get_env('TIDB_VECTOR_PASSWORD')
self.TIDB_VECTOR_DATABASE = get_env('TIDB_VECTOR_DATABASE')
# chroma settings
self.CHROMA_HOST = get_env('CHROMA_HOST')
self.CHROMA_PORT = get_env('CHROMA_PORT')
self.CHROMA_TENANT = get_env('CHROMA_TENANT')
self.CHROMA_DATABASE = get_env('CHROMA_DATABASE')
self.CHROMA_AUTH_PROVIDER = get_env('CHROMA_AUTH_PROVIDER')
self.CHROMA_AUTH_CREDENTIALS = get_env('CHROMA_AUTH_CREDENTIALS')
# ------------------------
# Mail Configurations.
# ------------------------
@ -347,10 +218,9 @@ class Config:
self.SMTP_USERNAME = get_env('SMTP_USERNAME')
self.SMTP_PASSWORD = get_env('SMTP_PASSWORD')
self.SMTP_USE_TLS = get_bool_env('SMTP_USE_TLS')
self.SMTP_OPPORTUNISTIC_TLS = get_bool_env('SMTP_OPPORTUNISTIC_TLS')
# ------------------------
# Workspace Configurations.
# Workpace Configurations.
# ------------------------
self.INVITE_EXPIRY_HOURS = int(get_env('INVITE_EXPIRY_HOURS'))
@ -375,24 +245,6 @@ class Config:
self.UPLOAD_FILE_SIZE_LIMIT = int(get_env('UPLOAD_FILE_SIZE_LIMIT'))
self.UPLOAD_FILE_BATCH_LIMIT = int(get_env('UPLOAD_FILE_BATCH_LIMIT'))
self.UPLOAD_IMAGE_FILE_SIZE_LIMIT = int(get_env('UPLOAD_IMAGE_FILE_SIZE_LIMIT'))
self.BATCH_UPLOAD_LIMIT = get_env('BATCH_UPLOAD_LIMIT')
# RAG ETL Configurations.
self.ETL_TYPE = get_env('ETL_TYPE')
self.UNSTRUCTURED_API_URL = get_env('UNSTRUCTURED_API_URL')
self.UNSTRUCTURED_API_KEY = get_env('UNSTRUCTURED_API_KEY')
self.KEYWORD_DATA_SOURCE_TYPE = get_env('KEYWORD_DATA_SOURCE_TYPE')
# Indexing Configurations.
self.INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH = get_env('INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH')
# Tool Configurations.
self.TOOL_ICON_CACHE_MAX_AGE = get_env('TOOL_ICON_CACHE_MAX_AGE')
self.WORKFLOW_MAX_EXECUTION_STEPS = int(get_env('WORKFLOW_MAX_EXECUTION_STEPS'))
self.WORKFLOW_MAX_EXECUTION_TIME = int(get_env('WORKFLOW_MAX_EXECUTION_TIME'))
self.WORKFLOW_CALL_MAX_DEPTH = int(get_env('WORKFLOW_CALL_MAX_DEPTH'))
self.APP_MAX_EXECUTION_TIME = int(get_env('APP_MAX_EXECUTION_TIME'))
# Moderation in app Configurations.
self.OUTPUT_MODERATION_BUFFER_SIZE = int(get_env('OUTPUT_MODERATION_BUFFER_SIZE'))
@ -407,12 +259,6 @@ class Config:
# ------------------------
# Platform Configurations.
# ------------------------
self.GITHUB_CLIENT_ID = get_env('GITHUB_CLIENT_ID')
self.GITHUB_CLIENT_SECRET = get_env('GITHUB_CLIENT_SECRET')
self.GOOGLE_CLIENT_ID = get_env('GOOGLE_CLIENT_ID')
self.GOOGLE_CLIENT_SECRET = get_env('GOOGLE_CLIENT_SECRET')
self.OAUTH_REDIRECT_PATH = get_env('OAUTH_REDIRECT_PATH')
self.HOSTED_OPENAI_API_KEY = get_env('HOSTED_OPENAI_API_KEY')
self.HOSTED_OPENAI_API_BASE = get_env('HOSTED_OPENAI_API_BASE')
self.HOSTED_OPENAI_API_ORGANIZATION = get_env('HOSTED_OPENAI_API_ORGANIZATION')
@ -440,19 +286,23 @@ class Config:
self.HOSTED_MODERATION_ENABLED = get_bool_env('HOSTED_MODERATION_ENABLED')
self.HOSTED_MODERATION_PROVIDERS = get_env('HOSTED_MODERATION_PROVIDERS')
# fetch app templates mode, remote, builtin, db(only for dify SaaS), default: remote
self.HOSTED_FETCH_APP_TEMPLATES_MODE = get_env('HOSTED_FETCH_APP_TEMPLATES_MODE')
self.HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN = get_env('HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN')
# Model Load Balancing Configurations.
self.MODEL_LB_ENABLED = get_bool_env('MODEL_LB_ENABLED')
# Platform Billing Configurations.
self.ETL_TYPE = get_env('ETL_TYPE')
self.UNSTRUCTURED_API_URL = get_env('UNSTRUCTURED_API_URL')
self.BILLING_ENABLED = get_bool_env('BILLING_ENABLED')
# ------------------------
# Enterprise feature Configurations.
# **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
# ------------------------
self.ENTERPRISE_ENABLED = get_bool_env('ENTERPRISE_ENABLED')
self.CAN_REPLACE_LOGO = get_bool_env('CAN_REPLACE_LOGO')
self.BATCH_UPLOAD_LIMIT = get_env('BATCH_UPLOAD_LIMIT')
class CloudEditionConfig(Config):
def __init__(self):
super().__init__()
self.EDITION = "CLOUD"
self.GITHUB_CLIENT_ID = get_env('GITHUB_CLIENT_ID')
self.GITHUB_CLIENT_SECRET = get_env('GITHUB_CLIENT_SECRET')
self.GOOGLE_CLIENT_ID = get_env('GOOGLE_CLIENT_ID')
self.GOOGLE_CLIENT_SECRET = get_env('GOOGLE_CLIENT_SECRET')
self.OAUTH_REDIRECT_PATH = get_env('OAUTH_REDIRECT_PATH')

View File

@ -1,11 +1,12 @@
import json
from models.model import AppModelConfig
languages = ['en-US', 'zh-Hans', 'zh-Hant', 'pt-BR', 'es-ES', 'fr-FR', 'de-DE', 'ja-JP', 'ko-KR', 'ru-RU', 'it-IT', 'uk-UA', 'vi-VN', 'pl-PL', 'hi-IN']
languages = ['en-US', 'zh-Hans', 'pt-BR', 'es-ES', 'fr-FR', 'de-DE', 'ja-JP', 'ko-KR', 'ru-RU', 'it-IT', 'uk-UA']
language_timezone_mapping = {
'en-US': 'America/New_York',
'zh-Hans': 'Asia/Shanghai',
'zh-Hant': 'Asia/Taipei',
'pt-BR': 'America/Sao_Paulo',
'es-ES': 'Europe/Madrid',
'fr-FR': 'Europe/Paris',
@ -15,10 +16,6 @@ language_timezone_mapping = {
'ru-RU': 'Europe/Moscow',
'it-IT': 'Europe/Rome',
'uk-UA': 'Europe/Kyiv',
'vi-VN': 'Asia/Ho_Chi_Minh',
'ro-RO': 'Europe/Bucharest',
'pl-PL': 'Europe/Warsaw',
'hi-IN': 'Asia/Kolkata'
}
@ -29,3 +26,439 @@ def supported_language(lang):
error = ('{lang} is not a valid language.'
.format(lang=lang))
raise ValueError(error)
user_input_form_template = {
"en-US": [
{
"paragraph": {
"label": "Query",
"variable": "default_input",
"required": False,
"default": ""
}
}
],
"zh-Hans": [
{
"paragraph": {
"label": "查询内容",
"variable": "default_input",
"required": False,
"default": ""
}
}
],
"pt-BR": [
{
"paragraph": {
"label": "Consulta",
"variable": "default_input",
"required": False,
"default": ""
}
}
],
"es-ES": [
{
"paragraph": {
"label": "Consulta",
"variable": "default_input",
"required": False,
"default": ""
}
}
],
"ua-UK": [
{
"paragraph": {
"label": "Запит",
"variable": "default_input",
"required": False,
"default": ""
}
}
],
}
demo_model_templates = {
'en-US': [
{
'name': 'Translation Assistant',
'icon': '',
'icon_background': '',
'description': 'A multilingual translator that provides translation capabilities in multiple languages, translating user input into the language they need.',
'mode': 'completion',
'model_config': AppModelConfig(
provider='openai',
model_id='gpt-3.5-turbo-instruct',
configs={
'prompt_template': "Please translate the following text into {{target_language}}:\n",
'prompt_variables': [
{
"key": "target_language",
"name": "Target Language",
"description": "The language you want to translate into.",
"type": "select",
"default": "Chinese",
'options': [
'Chinese',
'English',
'Japanese',
'French',
'Russian',
'German',
'Spanish',
'Korean',
'Italian',
]
}
],
'completion_params': {
'max_token': 1000,
'temperature': 0,
'top_p': 0,
'presence_penalty': 0.1,
'frequency_penalty': 0.1,
}
},
opening_statement='',
suggested_questions=None,
pre_prompt="Please translate the following text into {{target_language}}:\n{{query}}\ntranslate:",
model=json.dumps({
"provider": "openai",
"name": "gpt-3.5-turbo-instruct",
"mode": "completion",
"completion_params": {
"max_tokens": 1000,
"temperature": 0,
"top_p": 0,
"presence_penalty": 0.1,
"frequency_penalty": 0.1
}
}),
user_input_form=json.dumps([
{
"select": {
"label": "Target Language",
"variable": "target_language",
"description": "The language you want to translate into.",
"default": "Chinese",
"required": True,
'options': [
'Chinese',
'English',
'Japanese',
'French',
'Russian',
'German',
'Spanish',
'Korean',
'Italian',
]
}
}, {
"paragraph": {
"label": "Query",
"variable": "query",
"required": True,
"default": ""
}
}
])
)
},
{
'name': 'AI Front-end Interviewer',
'icon': '',
'icon_background': '',
'description': 'A simulated front-end interviewer that tests the skill level of front-end development through questioning.',
'mode': 'chat',
'model_config': AppModelConfig(
provider='openai',
model_id='gpt-3.5-turbo',
configs={
'introduction': 'Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
'prompt_template': "You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
'prompt_variables': [],
'completion_params': {
'max_token': 300,
'temperature': 0.8,
'top_p': 0.9,
'presence_penalty': 0.1,
'frequency_penalty': 0.1,
}
},
opening_statement='Hi, welcome to our interview. I am the interviewer for this technology company, and I will test your web front-end development skills. Next, I will ask you some technical questions. Please answer them as thoroughly as possible. ',
suggested_questions=None,
pre_prompt="You will play the role of an interviewer for a technology company, examining the user's web front-end development skills and posing 5-10 sharp technical questions.\n\nPlease note:\n- Only ask one question at a time.\n- After the user answers a question, ask the next question directly, without trying to correct any mistakes made by the candidate.\n- If you think the user has not answered correctly for several consecutive questions, ask fewer questions.\n- After asking the last question, you can ask this question: Why did you leave your last job? After the user answers this question, please express your understanding and support.\n",
model=json.dumps({
"provider": "openai",
"name": "gpt-3.5-turbo",
"mode": "chat",
"completion_params": {
"max_tokens": 300,
"temperature": 0.8,
"top_p": 0.9,
"presence_penalty": 0.1,
"frequency_penalty": 0.1
}
}),
user_input_form=None
)
}
],
'zh-Hans': [
{
'name': '翻译助手',
'icon': '',
'icon_background': '',
'description': '一个多语言翻译器,提供多种语言翻译能力,将用户输入的文本翻译成他们需要的语言。',
'mode': 'completion',
'model_config': AppModelConfig(
provider='openai',
model_id='gpt-3.5-turbo-instruct',
configs={
'prompt_template': "请将以下文本翻译为{{target_language}}:\n",
'prompt_variables': [
{
"key": "target_language",
"name": "目标语言",
"description": "翻译的目标语言",
"type": "select",
"default": "中文",
"options": [
"中文",
"英文",
"日语",
"法语",
"俄语",
"德语",
"西班牙语",
"韩语",
"意大利语",
]
}
],
'completion_params': {
'max_token': 1000,
'temperature': 0,
'top_p': 0,
'presence_penalty': 0.1,
'frequency_penalty': 0.1,
}
},
opening_statement='',
suggested_questions=None,
pre_prompt="请将以下文本翻译为{{target_language}}:\n{{query}}\n翻译:",
model=json.dumps({
"provider": "openai",
"name": "gpt-3.5-turbo-instruct",
"mode": "completion",
"completion_params": {
"max_tokens": 1000,
"temperature": 0,
"top_p": 0,
"presence_penalty": 0.1,
"frequency_penalty": 0.1
}
}),
user_input_form=json.dumps([
{
"select": {
"label": "目标语言",
"variable": "target_language",
"description": "翻译的目标语言",
"default": "中文",
"required": True,
'options': [
"中文",
"英文",
"日语",
"法语",
"俄语",
"德语",
"西班牙语",
"韩语",
"意大利语",
]
}
}, {
"paragraph": {
"label": "文本内容",
"variable": "query",
"required": True,
"default": ""
}
}
])
)
},
{
'name': 'AI 前端面试官',
'icon': '',
'icon_background': '',
'description': '一个模拟的前端面试官,通过提问的方式对前端开发的技能水平进行检验。',
'mode': 'chat',
'model_config': AppModelConfig(
provider='openai',
model_id='gpt-3.5-turbo',
configs={
'introduction': '你好,欢迎来参加我们的面试,我是这家科技公司的面试官,我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题,请您尽可能详尽地回答。',
'prompt_template': "你将扮演一个科技公司的面试官,考察用户作为候选人的 Web 前端开发水平,提出 5-10 个犀利的技术问题。\n\n请注意:\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题,而不要试图纠正候选人的错误;\n- 如果你认为用户连续几次回答的都不对,就少问一点;\n- 问完最后一个问题后,你可以问这样一个问题:上一份工作为什么离职?用户回答该问题后,请表示理解与支持。\n",
'prompt_variables': [],
'completion_params': {
'max_token': 300,
'temperature': 0.8,
'top_p': 0.9,
'presence_penalty': 0.1,
'frequency_penalty': 0.1,
}
},
opening_statement='你好,欢迎来参加我们的面试,我是这家科技公司的面试官,我将考察你的 Web 前端开发技能。接下来我会向您提出一些技术问题,请您尽可能详尽地回答。',
suggested_questions=None,
pre_prompt="你将扮演一个科技公司的面试官,考察用户作为候选人的 Web 前端开发水平,提出 5-10 个犀利的技术问题。\n\n请注意:\n- 每次只问一个问题\n- 用户回答问题后请直接问下一个问题,而不要试图纠正候选人的错误;\n- 如果你认为用户连续几次回答的都不对,就少问一点;\n- 问完最后一个问题后,你可以问这样一个问题:上一份工作为什么离职?用户回答该问题后,请表示理解与支持。\n",
model=json.dumps({
"provider": "openai",
"name": "gpt-3.5-turbo",
"mode": "chat",
"completion_params": {
"max_tokens": 300,
"temperature": 0.8,
"top_p": 0.9,
"presence_penalty": 0.1,
"frequency_penalty": 0.1
}
}),
user_input_form=None
)
}
],
'uk-UA': [{
"name": "Помічник перекладу",
"icon": "",
"icon_background": "",
"description": "Багатомовний перекладач, який надає можливості перекладу різними мовами, перекладаючи введені користувачем дані на потрібну мову.",
"mode": "completion",
"model_config": AppModelConfig(
provider="openai",
model_id="gpt-3.5-turbo-instruct",
configs={
"prompt_template": "Будь ласка, перекладіть наступний текст на {{target_language}}:\n",
"prompt_variables": [
{
"key": "target_language",
"name": "Цільова мова",
"description": "Мова, на яку ви хочете перекласти.",
"type": "select",
"default": "Ukrainian",
"options": [
"Chinese",
"English",
"Japanese",
"French",
"Russian",
"German",
"Spanish",
"Korean",
"Italian",
],
},
],
"completion_params": {
"max_token": 1000,
"temperature": 0,
"top_p": 0,
"presence_penalty": 0.1,
"frequency_penalty": 0.1,
},
},
opening_statement="",
suggested_questions=None,
pre_prompt="Будь ласка, перекладіть наступний текст на {{target_language}}:\n{{query}}\ntranslate:",
model=json.dumps({
"provider": "openai",
"name": "gpt-3.5-turbo-instruct",
"mode": "completion",
"completion_params": {
"max_tokens": 1000,
"temperature": 0,
"top_p": 0,
"presence_penalty": 0.1,
"frequency_penalty": 0.1,
},
}),
user_input_form=json.dumps([
{
"select": {
"label": "Цільова мова",
"variable": "target_language",
"description": "Мова, на яку ви хочете перекласти.",
"default": "Chinese",
"required": True,
'options': [
'Chinese',
'English',
'Japanese',
'French',
'Russian',
'German',
'Spanish',
'Korean',
'Italian',
]
}
}, {
"paragraph": {
"label": "Запит",
"variable": "query",
"required": True,
"default": ""
}
}
])
)
},
{
"name": "AI інтерв’юер фронтенду",
"icon": "",
"icon_background": "",
"description": "Симульований інтерв’юер фронтенду, який перевіряє рівень кваліфікації у розробці фронтенду через опитування.",
"mode": "chat",
"model_config": AppModelConfig(
provider="openai",
model_id="gpt-3.5-turbo",
configs={
"introduction": "Привіт, ласкаво просимо на наше співбесіду. Я інтерв'юер цієї технологічної компанії, і я перевірю ваші навички веб-розробки фронтенду. Далі я поставлю вам декілька технічних запитань. Будь ласка, відповідайте якомога ретельніше. ",
"prompt_template": "Ви будете грати роль інтерв'юера технологічної компанії, перевіряючи навички розробки фронтенду користувача та ставлячи 5-10 чітких технічних питань.\n\nЗверніть увагу:\n- Ставте лише одне запитання за раз.\n- Після того, як користувач відповість на запитання, ставте наступне запитання безпосередньо, не намагаючись виправити будь-які помилки, допущені кандидатом.\n- Якщо ви вважаєте, що користувач не відповів правильно на кілька питань поспіль, задайте менше запитань.\n- Після того, як ви задали останнє запитання, ви можете поставити таке запитання: Чому ви залишили свою попередню роботу? Після того, як користувач відповість на це питання, висловіть своє розуміння та підтримку.\n",
"prompt_variables": [],
"completion_params": {
"max_token": 300,
"temperature": 0.8,
"top_p": 0.9,
"presence_penalty": 0.1,
"frequency_penalty": 0.1,
},
},
opening_statement="Привіт, ласкаво просимо на наше співбесіду. Я інтерв'юер цієї технологічної компанії, і я перевірю ваші навички веб-розробки фронтенду. Далі я поставлю вам декілька технічних запитань. Будь ласка, відповідайте якомога ретельніше. ",
suggested_questions=None,
pre_prompt="Ви будете грати роль інтерв'юера технологічної компанії, перевіряючи навички розробки фронтенду користувача та ставлячи 5-10 чітких технічних питань.\n\nЗверніть увагу:\n- Ставте лише одне запитання за раз.\n- Після того, як користувач відповість на запитання, ставте наступне запитання безпосередньо, не намагаючись виправити будь-які помилки, допущені кандидатом.\n- Якщо ви вважаєте, що користувач не відповів правильно на кілька питань поспіль, задайте менше запитань.\n- Після того, як ви задали останнє запитання, ви можете поставити таке запитання: Чому ви залишили свою попередню роботу? Після того, як користувач відповість на це питання, висловіть своє розуміння та підтримку.\n",
model=json.dumps({
"provider": "openai",
"name": "gpt-3.5-turbo",
"mode": "chat",
"completion_params": {
"max_tokens": 300,
"temperature": 0.8,
"top_p": 0.9,
"presence_penalty": 0.1,
"frequency_penalty": 0.1,
},
}),
user_input_form=None
),
}
],
}

View File

@ -1,31 +1,27 @@
import json
from models.model import AppMode
default_app_templates = {
# workflow default mode
AppMode.WORKFLOW: {
'app': {
'mode': AppMode.WORKFLOW.value,
'enable_site': True,
'enable_api': True
}
},
model_templates = {
# completion default mode
AppMode.COMPLETION: {
'completion_default': {
'app': {
'mode': AppMode.COMPLETION.value,
'mode': 'completion',
'enable_site': True,
'enable_api': True
'enable_api': True,
'is_demo': False,
'api_rpm': 0,
'api_rph': 0,
'status': 'normal'
},
'model_config': {
'model': {
'provider': '',
'model_id': '',
'configs': {},
'model': json.dumps({
"provider": "openai",
"name": "gpt-4",
"mode": "chat",
"name": "gpt-3.5-turbo-instruct",
"mode": "completion",
"completion_params": {}
},
}),
'user_input_form': json.dumps([
{
"paragraph": {
@ -37,50 +33,32 @@ default_app_templates = {
}
]),
'pre_prompt': '{{query}}'
},
}
},
# chat default mode
AppMode.CHAT: {
'chat_default': {
'app': {
'mode': AppMode.CHAT.value,
'mode': 'chat',
'enable_site': True,
'enable_api': True
'enable_api': True,
'is_demo': False,
'api_rpm': 0,
'api_rph': 0,
'status': 'normal'
},
'model_config': {
'model': {
'provider': '',
'model_id': '',
'configs': {},
'model': json.dumps({
"provider": "openai",
"name": "gpt-4",
"name": "gpt-3.5-turbo",
"mode": "chat",
"completion_params": {}
}
})
}
},
# advanced-chat default mode
AppMode.ADVANCED_CHAT: {
'app': {
'mode': AppMode.ADVANCED_CHAT.value,
'enable_site': True,
'enable_api': True
}
},
# agent-chat default mode
AppMode.AGENT_CHAT: {
'app': {
'mode': AppMode.AGENT_CHAT.value,
'enable_site': True,
'enable_api': True
},
'model_config': {
'model': {
"provider": "openai",
"name": "gpt-4",
"mode": "chat",
"completion_params": {}
}
}
}
}

File diff suppressed because one or more lines are too long

View File

@ -1,3 +1,4 @@
# -*- coding:utf-8 -*-

View File

@ -1,57 +1,21 @@
from flask import Blueprint
from libs.external_api import ExternalApi
bp = Blueprint('console', __name__, url_prefix='/console/api')
api = ExternalApi(bp)
# Import other controllers
from . import admin, apikey, extension, feature, ping, setup, version
from . import admin, apikey, extension, feature, setup, version
# Import app controllers
from .app import (
advanced_prompt_template,
agent,
annotation,
app,
audio,
completion,
conversation,
generator,
message,
model_config,
site,
statistic,
workflow,
workflow_app_log,
workflow_run,
workflow_statistic,
)
from .app import (advanced_prompt_template, annotation, app, audio, completion, conversation, generator, message,
model_config, site, statistic)
# Import auth controllers
from .auth import activate, data_source_bearer_auth, data_source_oauth, login, oauth
from .auth import activate, data_source_oauth, login, oauth
# Import billing controllers
from .billing import billing
# Import datasets controllers
from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing, website
from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing
# Import explore controllers
from .explore import (
audio,
completion,
conversation,
installed_app,
message,
parameter,
recommended_app,
saved_message,
workflow,
)
# Import tag controllers
from .tag import tags
from .explore import audio, completion, conversation, installed_app, message, parameter, recommended_app, saved_message
# Import workspace controllers
from .workspace import account, load_balancing_config, members, model_providers, models, tool_providers, workspace
from .workspace import account, members, model_providers, models, tool_providers, workspace

View File

@ -48,7 +48,6 @@ class InsertExploreAppListApi(Resource):
parser.add_argument('desc', type=str, location='json')
parser.add_argument('copyright', type=str, location='json')
parser.add_argument('privacy_policy', type=str, location='json')
parser.add_argument('custom_disclaimer', type=str, location='json')
parser.add_argument('language', type=supported_language, required=True, nullable=False, location='json')
parser.add_argument('category', type=str, required=True, nullable=False, location='json')
parser.add_argument('position', type=int, required=True, nullable=False, location='json')
@ -63,7 +62,6 @@ class InsertExploreAppListApi(Resource):
desc = args['desc'] if args['desc'] else ''
copy_right = args['copyright'] if args['copyright'] else ''
privacy_policy = args['privacy_policy'] if args['privacy_policy'] else ''
custom_disclaimer = args['custom_disclaimer'] if args['custom_disclaimer'] else ''
else:
desc = site.description if site.description else \
args['desc'] if args['desc'] else ''
@ -71,8 +69,6 @@ class InsertExploreAppListApi(Resource):
args['copyright'] if args['copyright'] else ''
privacy_policy = site.privacy_policy if site.privacy_policy else \
args['privacy_policy'] if args['privacy_policy'] else ''
custom_disclaimer = site.custom_disclaimer if site.custom_disclaimer else \
args['custom_disclaimer'] if args['custom_disclaimer'] else ''
recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args['app_id']).first()
@ -82,7 +78,6 @@ class InsertExploreAppListApi(Resource):
description=desc,
copyright=copy_right,
privacy_policy=privacy_policy,
custom_disclaimer=custom_disclaimer,
language=args['language'],
category=args['category'],
position=args['position']
@ -98,7 +93,6 @@ class InsertExploreAppListApi(Resource):
recommended_app.description = desc
recommended_app.copyright = copy_right
recommended_app.privacy_policy = privacy_policy
recommended_app.custom_disclaimer = custom_disclaimer
recommended_app.language = args['language']
recommended_app.category = args['category']
recommended_app.position = args['position']

View File

@ -0,0 +1,21 @@
from controllers.console.app.error import AppUnavailableError
from extensions.ext_database import db
from flask_login import current_user
from models.model import App
from werkzeug.exceptions import NotFound
def _get_app(app_id, mode=None):
app = db.session.query(App).filter(
App.id == app_id,
App.tenant_id == current_user.current_tenant_id,
App.status == 'normal'
).first()
if not app:
raise NotFound("App not found")
if mode and app.mode != mode:
raise NotFound("The {} app not found".format(mode))
return app

View File

@ -1,32 +0,0 @@
from flask_restful import Resource, reqparse
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from libs.helper import uuid_value
from libs.login import login_required
from models.model import AppMode
from services.agent_service import AgentService
class AgentLogApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.AGENT_CHAT])
def get(self, app_model):
"""Get agent logs"""
parser = reqparse.RequestParser()
parser.add_argument('message_id', type=uuid_value, required=True, location='args')
parser.add_argument('conversation_id', type=uuid_value, required=True, location='args')
args = parser.parse_args()
return AgentService.get_agent_logs(
app_model,
args['conversation_id'],
args['message_id']
)
api.add_resource(AgentLogApi, '/apps/<uuid:app_id>/agent/logs')

View File

@ -1,27 +1,39 @@
import json
import uuid
import logging
from datetime import datetime
from flask_login import current_user
from flask_restful import Resource, inputs, marshal, marshal_with, reqparse
from werkzeug.exceptions import BadRequest, Forbidden, abort
from flask_restful import Resource, abort, inputs, marshal_with, reqparse
from werkzeug.exceptions import Forbidden
from constants.languages import demo_model_templates, languages
from constants.model_template import model_templates
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.app.error import AppNotFoundError, ProviderNotInitializeError
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
from core.tools.tool_manager import ToolManager
from core.tools.utils.configuration import ToolParameterConfigurationManager
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
from core.provider_manager import ProviderManager
from events.app_event import app_was_created, app_was_deleted
from extensions.ext_database import db
from fields.app_fields import (
app_detail_fields,
app_detail_fields_with_site,
app_pagination_fields,
template_list_fields,
)
from libs.login import login_required
from models.model import App, AppMode, AppModelConfig
from services.app_service import AppService
from services.tag_service import TagService
from models.model import App, AppModelConfig, Site
from services.app_model_config_service import AppModelConfigService
ALLOW_CREATE_APP_MODES = ['chat', 'agent-chat', 'advanced-chat', 'workflow', 'completion']
def _get_app(app_id, tenant_id):
app = db.session.query(App).filter(App.id == app_id, App.tenant_id == tenant_id).first()
if not app:
raise AppNotFoundError
return app
class AppListApi(Resource):
@ -29,29 +41,39 @@ class AppListApi(Resource):
@setup_required
@login_required
@account_initialization_required
@marshal_with(app_pagination_fields)
def get(self):
"""Get app list"""
def uuid_list(value):
try:
return [str(uuid.UUID(v)) for v in value.split(',')]
except ValueError:
abort(400, message="Invalid UUID format in tag_ids.")
parser = reqparse.RequestParser()
parser.add_argument('page', type=inputs.int_range(1, 99999), required=False, default=1, location='args')
parser.add_argument('limit', type=inputs.int_range(1, 100), required=False, default=20, location='args')
parser.add_argument('mode', type=str, choices=['chat', 'workflow', 'agent-chat', 'channel', 'all'], default='all', location='args', required=False)
parser.add_argument('mode', type=str, choices=['chat', 'completion', 'all'], default='all', location='args', required=False)
parser.add_argument('name', type=str, location='args', required=False)
parser.add_argument('tag_ids', type=uuid_list, location='args', required=False)
args = parser.parse_args()
# get app list
app_service = AppService()
app_pagination = app_service.get_paginate_apps(current_user.current_tenant_id, args)
if not app_pagination:
return {'data': [], 'total': 0, 'page': 1, 'limit': 20, 'has_more': False}
filters = [
App.tenant_id == current_user.current_tenant_id,
App.is_universal == False
]
return marshal(app_pagination, app_pagination_fields)
if args['mode'] == 'completion':
filters.append(App.mode == 'completion')
elif args['mode'] == 'chat':
filters.append(App.mode == 'chat')
else:
pass
if 'name' in args and args['name']:
filters.append(App.name.ilike(f'%{args["name"]}%'))
app_models = db.paginate(
db.select(App).where(*filters).order_by(App.created_at.desc()),
page=args['page'],
per_page=args['limit'],
error_out=False
)
return app_models
@setup_required
@login_required
@ -62,49 +84,147 @@ class AppListApi(Resource):
"""Create app"""
parser = reqparse.RequestParser()
parser.add_argument('name', type=str, required=True, location='json')
parser.add_argument('description', type=str, location='json')
parser.add_argument('mode', type=str, choices=ALLOW_CREATE_APP_MODES, location='json')
parser.add_argument('mode', type=str, choices=['completion', 'chat', 'assistant'], location='json')
parser.add_argument('icon', type=str, location='json')
parser.add_argument('icon_background', type=str, location='json')
parser.add_argument('model_config', type=dict, location='json')
args = parser.parse_args()
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
if 'mode' not in args or args['mode'] is None:
raise BadRequest("mode is required")
try:
provider_manager = ProviderManager()
default_model_entity = provider_manager.get_default_model(
tenant_id=current_user.current_tenant_id,
model_type=ModelType.LLM
)
except (ProviderTokenNotInitError, LLMBadRequestError):
default_model_entity = None
except Exception as e:
logging.exception(e)
default_model_entity = None
app_service = AppService()
app = app_service.create_app(current_user.current_tenant_id, args, current_user)
if args['model_config'] is not None:
# validate config
model_config_dict = args['model_config']
# Get provider configurations
provider_manager = ProviderManager()
provider_configurations = provider_manager.get_configurations(current_user.current_tenant_id)
# get available models from provider_configurations
available_models = provider_configurations.get_models(
model_type=ModelType.LLM,
only_active=True
)
# check if model is available
available_models_names = [f'{model.provider.provider}.{model.model}' for model in available_models]
provider_model = f"{model_config_dict['model']['provider']}.{model_config_dict['model']['name']}"
if provider_model not in available_models_names:
if not default_model_entity:
raise ProviderNotInitializeError(
"No Default System Reasoning Model available. Please configure "
"in the Settings -> Model Provider.")
else:
model_config_dict["model"]["provider"] = default_model_entity.provider.provider
model_config_dict["model"]["name"] = default_model_entity.model
model_configuration = AppModelConfigService.validate_configuration(
tenant_id=current_user.current_tenant_id,
account=current_user,
config=model_config_dict,
app_mode=args['mode']
)
app = App(
enable_site=True,
enable_api=True,
is_demo=False,
api_rpm=0,
api_rph=0,
status='normal'
)
app_model_config = AppModelConfig()
app_model_config = app_model_config.from_model_config_dict(model_configuration)
else:
if 'mode' not in args or args['mode'] is None:
abort(400, message="mode is required")
model_config_template = model_templates[args['mode'] + '_default']
app = App(**model_config_template['app'])
app_model_config = AppModelConfig(**model_config_template['model_config'])
# get model provider
model_manager = ModelManager()
try:
model_instance = model_manager.get_default_model_instance(
tenant_id=current_user.current_tenant_id,
model_type=ModelType.LLM
)
except ProviderTokenNotInitError:
model_instance = None
if model_instance:
model_dict = app_model_config.model_dict
model_dict['provider'] = model_instance.provider
model_dict['name'] = model_instance.model
app_model_config.model = json.dumps(model_dict)
app.name = args['name']
app.mode = args['mode']
app.icon = args['icon']
app.icon_background = args['icon_background']
app.tenant_id = current_user.current_tenant_id
db.session.add(app)
db.session.flush()
app_model_config.app_id = app.id
db.session.add(app_model_config)
db.session.flush()
app.app_model_config_id = app_model_config.id
account = current_user
site = Site(
app_id=app.id,
title=app.name,
default_language=account.interface_language,
customize_token_strategy='not_allow',
code=Site.generate_code(16)
)
db.session.add(site)
db.session.commit()
app_was_created.send(app)
return app, 201
class AppTemplateApi(Resource):
class AppImportApi(Resource):
@setup_required
@login_required
@account_initialization_required
@marshal_with(app_detail_fields_with_site)
@cloud_edition_billing_resource_check('apps')
def post(self):
"""Import app"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
@marshal_with(template_list_fields)
def get(self):
"""Get app demo templates"""
account = current_user
interface_language = account.interface_language
parser = reqparse.RequestParser()
parser.add_argument('data', type=str, required=True, nullable=False, location='json')
parser.add_argument('name', type=str, location='json')
parser.add_argument('description', type=str, location='json')
parser.add_argument('icon', type=str, location='json')
parser.add_argument('icon_background', type=str, location='json')
args = parser.parse_args()
templates = demo_model_templates.get(interface_language)
if not templates:
templates = demo_model_templates.get(languages[0])
app_service = AppService()
app = app_service.import_app(current_user.current_tenant_id, args['data'], args, current_user)
return app, 201
return {'data': templates}
class AppApi(Resource):
@ -112,185 +232,176 @@ class AppApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_fields_with_site)
def get(self, app_model):
def get(self, app_id):
"""Get app detail"""
app_service = AppService()
app_id = str(app_id)
app = _get_app(app_id, current_user.current_tenant_id)
app_model = app_service.get_app(app_model)
return app_model
return app
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_fields_with_site)
def put(self, app_model):
"""Update app"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('name', type=str, required=True, nullable=False, location='json')
parser.add_argument('description', type=str, location='json')
parser.add_argument('icon', type=str, location='json')
parser.add_argument('icon_background', type=str, location='json')
args = parser.parse_args()
app_service = AppService()
app_model = app_service.update_app(app_model, args)
return app_model
@setup_required
@login_required
@account_initialization_required
@get_app_model
def delete(self, app_model):
def delete(self, app_id):
"""Delete app"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
app_id = str(app_id)
if not current_user.is_admin_or_owner:
raise Forbidden()
app_service = AppService()
app_service.delete_app(app_model)
app = _get_app(app_id, current_user.current_tenant_id)
db.session.delete(app)
db.session.commit()
# todo delete related data??
# model_config, site, api_token, conversation, message, message_feedback, message_annotation
app_was_deleted.send(app)
return {'result': 'success'}, 204
class AppCopyApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_fields_with_site)
def post(self, app_model):
"""Copy app"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('name', type=str, location='json')
parser.add_argument('description', type=str, location='json')
parser.add_argument('icon', type=str, location='json')
parser.add_argument('icon_background', type=str, location='json')
args = parser.parse_args()
app_service = AppService()
data = app_service.export_app(app_model)
app = app_service.import_app(current_user.current_tenant_id, data, args, current_user)
return app, 201
class AppExportApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
"""Export app"""
app_service = AppService()
return {
"data": app_service.export_app(app_model)
}
class AppNameApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_fields)
def post(self, app_model):
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
def post(self, app_id):
app_id = str(app_id)
app = _get_app(app_id, current_user.current_tenant_id)
parser = reqparse.RequestParser()
parser.add_argument('name', type=str, required=True, location='json')
args = parser.parse_args()
app_service = AppService()
app_model = app_service.update_app_name(app_model, args.get('name'))
return app_model
app.name = args.get('name')
app.updated_at = datetime.utcnow()
db.session.commit()
return app
class AppIconApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_fields)
def post(self, app_model):
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
def post(self, app_id):
app_id = str(app_id)
app = _get_app(app_id, current_user.current_tenant_id)
parser = reqparse.RequestParser()
parser.add_argument('icon', type=str, location='json')
parser.add_argument('icon_background', type=str, location='json')
args = parser.parse_args()
app_service = AppService()
app_model = app_service.update_app_icon(app_model, args.get('icon'), args.get('icon_background'))
app.icon = args.get('icon')
app.icon_background = args.get('icon_background')
app.updated_at = datetime.utcnow()
db.session.commit()
return app_model
return app
class AppSiteStatus(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_fields)
def post(self, app_model):
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
def post(self, app_id):
parser = reqparse.RequestParser()
parser.add_argument('enable_site', type=bool, required=True, location='json')
args = parser.parse_args()
app_id = str(app_id)
app = db.session.query(App).filter(App.id == app_id, App.tenant_id == current_user.current_tenant_id).first()
if not app:
raise AppNotFoundError
app_service = AppService()
app_model = app_service.update_app_site_status(app_model, args.get('enable_site'))
if args.get('enable_site') == app.enable_site:
return app
return app_model
app.enable_site = args.get('enable_site')
app.updated_at = datetime.utcnow()
db.session.commit()
return app
class AppApiStatus(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_fields)
def post(self, app_model):
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
def post(self, app_id):
parser = reqparse.RequestParser()
parser.add_argument('enable_api', type=bool, required=True, location='json')
args = parser.parse_args()
app_service = AppService()
app_model = app_service.update_app_api_status(app_model, args.get('enable_api'))
app_id = str(app_id)
app = _get_app(app_id, current_user.current_tenant_id)
return app_model
if args.get('enable_api') == app.enable_api:
return app
app.enable_api = args.get('enable_api')
app.updated_at = datetime.utcnow()
db.session.commit()
return app
class AppCopy(Resource):
@staticmethod
def create_app_copy(app):
copy_app = App(
name=app.name + ' copy',
icon=app.icon,
icon_background=app.icon_background,
tenant_id=app.tenant_id,
mode=app.mode,
app_model_config_id=app.app_model_config_id,
enable_site=app.enable_site,
enable_api=app.enable_api,
api_rpm=app.api_rpm,
api_rph=app.api_rph
)
return copy_app
@staticmethod
def create_app_model_config_copy(app_config, copy_app_id):
copy_app_model_config = app_config.copy()
copy_app_model_config.app_id = copy_app_id
return copy_app_model_config
@setup_required
@login_required
@account_initialization_required
@marshal_with(app_detail_fields)
def post(self, app_id):
app_id = str(app_id)
app = _get_app(app_id, current_user.current_tenant_id)
copy_app = self.create_app_copy(app)
db.session.add(copy_app)
app_config = db.session.query(AppModelConfig). \
filter(AppModelConfig.app_id == app_id). \
one_or_none()
if app_config:
copy_app_model_config = self.create_app_model_config_copy(app_config, copy_app.id)
db.session.add(copy_app_model_config)
db.session.commit()
copy_app.app_model_config_id = copy_app_model_config.id
db.session.commit()
return copy_app, 201
api.add_resource(AppListApi, '/apps')
api.add_resource(AppImportApi, '/apps/import')
api.add_resource(AppTemplateApi, '/app-templates')
api.add_resource(AppApi, '/apps/<uuid:app_id>')
api.add_resource(AppCopyApi, '/apps/<uuid:app_id>/copy')
api.add_resource(AppExportApi, '/apps/<uuid:app_id>/export')
api.add_resource(AppCopy, '/apps/<uuid:app_id>/copy')
api.add_resource(AppNameApi, '/apps/<uuid:app_id>/name')
api.add_resource(AppIconApi, '/apps/<uuid:app_id>/icon')
api.add_resource(AppSiteStatus, '/apps/<uuid:app_id>/site-enable')

View File

@ -6,6 +6,7 @@ from werkzeug.exceptions import InternalServerError
import services
from controllers.console import api
from controllers.console.app import _get_app
from controllers.console.app.error import (
AppUnavailableError,
AudioTooLargeError,
@ -17,13 +18,11 @@ from controllers.console.app.error import (
ProviderQuotaExceededError,
UnsupportedAudioTypeError,
)
from controllers.console.app.wraps import get_app_model
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from libs.login import login_required
from models.model import AppMode
from services.audio_service import AudioService
from services.errors.audio import (
AudioTooLargeServiceError,
@ -37,13 +36,15 @@ class ChatMessageAudioApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
def post(self, app_model):
def post(self, app_id):
app_id = str(app_id)
app_model = _get_app(app_id, 'chat')
file = request.files['file']
try:
response = AudioService.transcript_asr(
app_model=app_model,
tenant_id=app_model.tenant_id,
file=file,
end_user=None,
)
@ -79,13 +80,15 @@ class ChatMessageTextApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def post(self, app_model):
def post(self, app_id):
app_id = str(app_id)
app_model = _get_app(app_id, None)
try:
response = AudioService.transcript_tts(
app_model=app_model,
tenant_id=app_model.tenant_id,
text=request.form['text'],
voice=request.form['voice'],
voice=request.form['voice'] if request.form['voice'] else app_model.app_model_config.text_to_speech_dict.get('voice'),
streaming=False
)
@ -117,11 +120,9 @@ class ChatMessageTextApi(Resource):
class TextModesApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
def get(self, app_id: str):
app_model = _get_app(str(app_id))
try:
parser = reqparse.RequestParser()
parser.add_argument('language', type=str, required=True, location='args')

View File

@ -1,11 +1,16 @@
import json
import logging
from collections.abc import Generator
from typing import Union
import flask_login
from flask import Response, stream_with_context
from flask_restful import Resource, reqparse
from werkzeug.exceptions import InternalServerError, NotFound
import services
from controllers.console import api
from controllers.console.app import _get_app
from controllers.console.app.error import (
AppUnavailableError,
CompletionRequestError,
@ -14,18 +19,15 @@ from controllers.console.app.error import (
ProviderNotInitializeError,
ProviderQuotaExceededError,
)
from controllers.console.app.wraps import get_app_model
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.app.apps.base_app_queue_manager import AppQueueManager
from core.app.entities.app_invoke_entities import InvokeFrom
from core.application_queue_manager import ApplicationQueueManager
from core.entities.application_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from libs import helper
from libs.helper import uuid_value
from libs.login import login_required
from models.model import AppMode
from services.app_generate_service import AppGenerateService
from services.completion_service import CompletionService
# define completion message api for user
@ -34,8 +36,12 @@ class CompletionMessageApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=AppMode.COMPLETION)
def post(self, app_model):
def post(self, app_id):
app_id = str(app_id)
# get app info
app_model = _get_app(app_id, 'completion')
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, required=True, location='json')
parser.add_argument('query', type=str, location='json', default='')
@ -51,15 +57,16 @@ class CompletionMessageApi(Resource):
account = flask_login.current_user
try:
response = AppGenerateService.generate(
response = CompletionService.completion(
app_model=app_model,
user=account,
args=args,
invoke_from=InvokeFrom.DEBUGGER,
streaming=streaming
streaming=streaming,
is_model_config_override=True
)
return helper.compact_generate_response(response)
return compact_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except services.errors.conversation.ConversationCompletedError:
@ -86,11 +93,15 @@ class CompletionMessageStopApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=AppMode.COMPLETION)
def post(self, app_model, task_id):
def post(self, app_id, task_id):
app_id = str(app_id)
# get app info
_get_app(app_id, 'completion')
account = flask_login.current_user
AppQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, account.id)
ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, account.id)
return {'result': 'success'}, 200
@ -99,8 +110,12 @@ class ChatMessageApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT])
def post(self, app_model):
def post(self, app_id):
app_id = str(app_id)
# get app info
app_model = _get_app(app_id, 'chat')
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, required=True, location='json')
parser.add_argument('query', type=str, required=True, location='json')
@ -117,15 +132,16 @@ class ChatMessageApi(Resource):
account = flask_login.current_user
try:
response = AppGenerateService.generate(
response = CompletionService.completion(
app_model=app_model,
user=account,
args=args,
invoke_from=InvokeFrom.DEBUGGER,
streaming=streaming
streaming=streaming,
is_model_config_override=True
)
return helper.compact_generate_response(response)
return compact_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except services.errors.conversation.ConversationCompletedError:
@ -148,15 +164,30 @@ class ChatMessageApi(Resource):
raise InternalServerError()
def compact_response(response: Union[dict, Generator]) -> Response:
if isinstance(response, dict):
return Response(response=json.dumps(response), status=200, mimetype='application/json')
else:
def generate() -> Generator:
yield from response
return Response(stream_with_context(generate()), status=200,
mimetype='text/event-stream')
class ChatMessageStopApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
def post(self, app_model, task_id):
def post(self, app_id, task_id):
app_id = str(app_id)
# get app info
_get_app(app_id, 'chat')
account = flask_login.current_user
AppQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, account.id)
ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, account.id)
return {'result': 'success'}, 200

View File

@ -1,4 +1,4 @@
from datetime import datetime, timezone
from datetime import datetime
import pytz
from flask_login import current_user
@ -6,13 +6,12 @@ from flask_restful import Resource, marshal_with, reqparse
from flask_restful.inputs import int_range
from sqlalchemy import func, or_
from sqlalchemy.orm import joinedload
from werkzeug.exceptions import Forbidden, NotFound
from werkzeug.exceptions import NotFound
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.app import _get_app
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.app.entities.app_invoke_entities import InvokeFrom
from extensions.ext_database import db
from fields.conversation_fields import (
conversation_detail_fields,
@ -22,7 +21,7 @@ from fields.conversation_fields import (
)
from libs.helper import datetime_string
from libs.login import login_required
from models.model import AppMode, Conversation, Message, MessageAnnotation
from models.model import Conversation, Message, MessageAnnotation
class CompletionConversationApi(Resource):
@ -30,11 +29,10 @@ class CompletionConversationApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=AppMode.COMPLETION)
@marshal_with(conversation_pagination_fields)
def get(self, app_model):
if not current_user.is_admin_or_owner:
raise Forbidden()
def get(self, app_id):
app_id = str(app_id)
parser = reqparse.RequestParser()
parser.add_argument('keyword', type=str, location='args')
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@ -45,7 +43,10 @@ class CompletionConversationApi(Resource):
parser.add_argument('limit', type=int_range(1, 100), default=20, location='args')
args = parser.parse_args()
query = db.select(Conversation).where(Conversation.app_id == app_model.id, Conversation.mode == 'completion')
# get app info
app = _get_app(app_id, 'completion')
query = db.select(Conversation).where(Conversation.app_id == app.id, Conversation.mode == 'completion')
if args['keyword']:
query = query.join(
@ -105,26 +106,24 @@ class CompletionConversationDetailApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=AppMode.COMPLETION)
@marshal_with(conversation_message_detail_fields)
def get(self, app_model, conversation_id):
if not current_user.is_admin_or_owner:
raise Forbidden()
def get(self, app_id, conversation_id):
app_id = str(app_id)
conversation_id = str(conversation_id)
return _get_conversation(app_model, conversation_id)
return _get_conversation(app_id, conversation_id, 'completion')
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
def delete(self, app_model, conversation_id):
if not current_user.is_admin_or_owner:
raise Forbidden()
def delete(self, app_id, conversation_id):
app_id = str(app_id)
conversation_id = str(conversation_id)
app = _get_app(app_id, 'chat')
conversation = db.session.query(Conversation) \
.filter(Conversation.id == conversation_id, Conversation.app_id == app_model.id).first()
.filter(Conversation.id == conversation_id, Conversation.app_id == app.id).first()
if not conversation:
raise NotFound("Conversation Not Exists.")
@ -140,11 +139,10 @@ class ChatConversationApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
@marshal_with(conversation_with_summary_pagination_fields)
def get(self, app_model):
if not current_user.is_admin_or_owner:
raise Forbidden()
def get(self, app_id):
app_id = str(app_id)
parser = reqparse.RequestParser()
parser.add_argument('keyword', type=str, location='args')
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@ -156,7 +154,10 @@ class ChatConversationApi(Resource):
parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
args = parser.parse_args()
query = db.select(Conversation).where(Conversation.app_id == app_model.id)
# get app info
app = _get_app(app_id, 'chat')
query = db.select(Conversation).where(Conversation.app_id == app.id, Conversation.mode == 'chat')
if args['keyword']:
query = query.join(
@ -210,9 +211,6 @@ class ChatConversationApi(Resource):
.having(func.count(Message.id) >= args['message_count_gte'])
)
if app_model.mode == AppMode.ADVANCED_CHAT.value:
query = query.where(Conversation.invoke_from != InvokeFrom.DEBUGGER.value)
query = query.order_by(Conversation.created_at.desc())
conversations = db.paginate(
@ -230,26 +228,25 @@ class ChatConversationDetailApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
@marshal_with(conversation_detail_fields)
def get(self, app_model, conversation_id):
if not current_user.is_admin_or_owner:
raise Forbidden()
def get(self, app_id, conversation_id):
app_id = str(app_id)
conversation_id = str(conversation_id)
return _get_conversation(app_model, conversation_id)
return _get_conversation(app_id, conversation_id, 'chat')
@setup_required
@login_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
@account_initialization_required
def delete(self, app_model, conversation_id):
if not current_user.is_admin_or_owner:
raise Forbidden()
def delete(self, app_id, conversation_id):
app_id = str(app_id)
conversation_id = str(conversation_id)
# get app info
app = _get_app(app_id, 'chat')
conversation = db.session.query(Conversation) \
.filter(Conversation.id == conversation_id, Conversation.app_id == app_model.id).first()
.filter(Conversation.id == conversation_id, Conversation.app_id == app.id).first()
if not conversation:
raise NotFound("Conversation Not Exists.")
@ -266,15 +263,18 @@ api.add_resource(ChatConversationApi, '/apps/<uuid:app_id>/chat-conversations')
api.add_resource(ChatConversationDetailApi, '/apps/<uuid:app_id>/chat-conversations/<uuid:conversation_id>')
def _get_conversation(app_model, conversation_id):
def _get_conversation(app_id, conversation_id, mode):
# get app info
app = _get_app(app_id, mode)
conversation = db.session.query(Conversation) \
.filter(Conversation.id == conversation_id, Conversation.app_id == app_model.id).first()
.filter(Conversation.id == conversation_id, Conversation.app_id == app.id).first()
if not conversation:
raise NotFound("Conversation Not Exists.")
if not conversation.read_at:
conversation.read_at = datetime.now(timezone.utc).replace(tzinfo=None)
conversation.read_at = datetime.utcnow()
conversation.read_account_id = current_user.id
db.session.commit()

View File

@ -85,15 +85,3 @@ class TooManyFilesError(BaseHTTPException):
error_code = 'too_many_files'
description = "Only one file is allowed."
code = 400
class DraftWorkflowNotExist(BaseHTTPException):
error_code = 'draft_workflow_not_exist'
description = "Draft workflow need to be initialized."
code = 400
class DraftWorkflowNotSync(BaseHTTPException):
error_code = 'draft_workflow_not_sync'
description = "Workflow graph might have been modified, please refresh and resubmit."
code = 400

View File

@ -11,7 +11,7 @@ from controllers.console.app.error import (
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.llm_generator.llm_generator import LLMGenerator
from core.generator.llm_generator import LLMGenerator
from core.model_runtime.errors.invoke import InvokeError
from libs.login import login_required

View File

@ -1,22 +1,26 @@
import json
import logging
from collections.abc import Generator
from typing import Union
from flask import Response, stream_with_context
from flask_login import current_user
from flask_restful import Resource, fields, marshal_with, reqparse
from flask_restful.inputs import int_range
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
from controllers.console import api
from controllers.console.app import _get_app
from controllers.console.app.error import (
AppMoreLikeThisDisabledError,
CompletionRequestError,
ProviderModelCurrentlyNotSupportError,
ProviderNotInitializeError,
ProviderQuotaExceededError,
)
from controllers.console.app.wraps import get_app_model
from controllers.console.explore.error import AppSuggestedQuestionsAfterAnswerDisabledError
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
from core.app.entities.app_invoke_entities import InvokeFrom
from core.entities.application_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from extensions.ext_database import db
@ -24,10 +28,12 @@ from fields.conversation_fields import annotation_fields, message_detail_fields
from libs.helper import uuid_value
from libs.infinite_scroll_pagination import InfiniteScrollPagination
from libs.login import login_required
from models.model import AppMode, Conversation, Message, MessageAnnotation, MessageFeedback
from models.model import Conversation, Message, MessageAnnotation, MessageFeedback
from services.annotation_service import AppAnnotationService
from services.completion_service import CompletionService
from services.errors.app import MoreLikeThisDisabledError
from services.errors.conversation import ConversationNotExistsError
from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
from services.errors.message import MessageNotExistsError
from services.message_service import MessageService
@ -40,10 +46,14 @@ class ChatMessageListApi(Resource):
@setup_required
@login_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
@account_initialization_required
@marshal_with(message_infinite_scroll_pagination_fields)
def get(self, app_model):
def get(self, app_id):
app_id = str(app_id)
# get app info
app = _get_app(app_id, 'chat')
parser = reqparse.RequestParser()
parser.add_argument('conversation_id', required=True, type=uuid_value, location='args')
parser.add_argument('first_id', type=uuid_value, location='args')
@ -52,7 +62,7 @@ class ChatMessageListApi(Resource):
conversation = db.session.query(Conversation).filter(
Conversation.id == args['conversation_id'],
Conversation.app_id == app_model.id
Conversation.app_id == app.id
).first()
if not conversation:
@ -100,8 +110,12 @@ class MessageFeedbackApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def post(self, app_model):
def post(self, app_id):
app_id = str(app_id)
# get app info
app = _get_app(app_id)
parser = reqparse.RequestParser()
parser.add_argument('message_id', required=True, type=uuid_value, location='json')
parser.add_argument('rating', type=str, choices=['like', 'dislike', None], location='json')
@ -111,7 +125,7 @@ class MessageFeedbackApi(Resource):
message = db.session.query(Message).filter(
Message.id == message_id,
Message.app_id == app_model.id
Message.app_id == app.id
).first()
if not message:
@ -127,7 +141,7 @@ class MessageFeedbackApi(Resource):
raise ValueError('rating cannot be None when feedback not exists')
else:
feedback = MessageFeedback(
app_id=app_model.id,
app_id=app.id,
conversation_id=message.conversation_id,
message_id=message.id,
rating=args['rating'],
@ -146,20 +160,21 @@ class MessageAnnotationApi(Resource):
@login_required
@account_initialization_required
@cloud_edition_billing_resource_check('annotation')
@get_app_model
@marshal_with(annotation_fields)
def post(self, app_model):
def post(self, app_id):
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
app_id = str(app_id)
parser = reqparse.RequestParser()
parser.add_argument('message_id', required=False, type=uuid_value, location='json')
parser.add_argument('question', required=True, type=str, location='json')
parser.add_argument('answer', required=True, type=str, location='json')
parser.add_argument('annotation_reply', required=False, type=dict, location='json')
args = parser.parse_args()
annotation = AppAnnotationService.up_insert_app_annotation_from_message(args, app_model.id)
annotation = AppAnnotationService.up_insert_app_annotation_from_message(args, app_id)
return annotation
@ -168,29 +183,93 @@ class MessageAnnotationCountApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
def get(self, app_id):
app_id = str(app_id)
# get app info
app = _get_app(app_id)
count = db.session.query(MessageAnnotation).filter(
MessageAnnotation.app_id == app_model.id
MessageAnnotation.app_id == app.id
).count()
return {'count': count}
class MessageMoreLikeThisApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, app_id, message_id):
app_id = str(app_id)
message_id = str(message_id)
parser = reqparse.RequestParser()
parser.add_argument('response_mode', type=str, required=True, choices=['blocking', 'streaming'],
location='args')
args = parser.parse_args()
streaming = args['response_mode'] == 'streaming'
# get app info
app_model = _get_app(app_id, 'completion')
try:
response = CompletionService.generate_more_like_this(
app_model=app_model,
user=current_user,
message_id=message_id,
invoke_from=InvokeFrom.DEBUGGER,
streaming=streaming
)
return compact_response(response)
except MessageNotExistsError:
raise NotFound("Message Not Exists.")
except MoreLikeThisDisabledError:
raise AppMoreLikeThisDisabledError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except InvokeError as e:
raise CompletionRequestError(e.description)
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
def compact_response(response: Union[dict, Generator]) -> Response:
if isinstance(response, dict):
return Response(response=json.dumps(response), status=200, mimetype='application/json')
else:
def generate() -> Generator:
yield from response
return Response(stream_with_context(generate()), status=200,
mimetype='text/event-stream')
class MessageSuggestedQuestionApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
def get(self, app_model, message_id):
def get(self, app_id, message_id):
app_id = str(app_id)
message_id = str(message_id)
# get app info
app_model = _get_app(app_id, 'chat')
try:
questions = MessageService.get_suggested_questions_after_answer(
app_model=app_model,
message_id=message_id,
user=current_user,
invoke_from=InvokeFrom.DEBUGGER
check_enabled=False
)
except MessageNotExistsError:
raise NotFound("Message not found")
@ -204,8 +283,6 @@ class MessageSuggestedQuestionApi(Resource):
raise ProviderModelCurrentlyNotSupportError()
except InvokeError as e:
raise CompletionRequestError(e.description)
except SuggestedQuestionsAfterAnswerDisabledError:
raise AppSuggestedQuestionsAfterAnswerDisabledError()
except Exception:
logging.exception("internal server error.")
raise InternalServerError()
@ -217,11 +294,14 @@ class MessageApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(message_detail_fields)
def get(self, app_model, message_id):
def get(self, app_id, message_id):
app_id = str(app_id)
message_id = str(message_id)
# get app info
app_model = _get_app(app_id)
message = db.session.query(Message).filter(
Message.id == message_id,
Message.app_id == app_model.id
@ -233,6 +313,7 @@ class MessageApi(Resource):
return message
api.add_resource(MessageMoreLikeThisApi, '/apps/<uuid:app_id>/completion-messages/<uuid:message_id>/more-like-this')
api.add_resource(MessageSuggestedQuestionApi, '/apps/<uuid:app_id>/chat-messages/<uuid:message_id>/suggested-questions')
api.add_resource(ChatMessageListApi, '/apps/<uuid:app_id>/chat-messages', endpoint='console_chat_messages')
api.add_resource(MessageFeedbackApi, '/apps/<uuid:app_id>/feedbacks')

View File

@ -1,20 +1,16 @@
import json
from flask import request
from flask_login import current_user
from flask_restful import Resource
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.app import _get_app
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.agent.entities import AgentToolEntity
from core.tools.tool_manager import ToolManager
from core.tools.utils.configuration import ToolParameterConfigurationManager
from events.app_event import app_model_config_was_updated
from extensions.ext_database import db
from libs.login import login_required
from models.model import AppMode, AppModelConfig
from models.model import AppModelConfig
from services.app_model_config_service import AppModelConfigService
@ -23,119 +19,33 @@ class ModelConfigResource(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.AGENT_CHAT, AppMode.CHAT, AppMode.COMPLETION])
def post(self, app_model):
def post(self, app_id):
"""Modify app model config"""
app_id = str(app_id)
app = _get_app(app_id)
# validate config
model_configuration = AppModelConfigService.validate_configuration(
tenant_id=current_user.current_tenant_id,
account=current_user,
config=request.json,
app_mode=AppMode.value_of(app_model.mode)
app_mode=app.mode
)
new_app_model_config = AppModelConfig(
app_id=app_model.id,
app_id=app.id,
)
new_app_model_config = new_app_model_config.from_model_config_dict(model_configuration)
if app_model.mode == AppMode.AGENT_CHAT.value or app_model.is_agent:
# get original app model config
original_app_model_config: AppModelConfig = db.session.query(AppModelConfig).filter(
AppModelConfig.id == app_model.app_model_config_id
).first()
agent_mode = original_app_model_config.agent_mode_dict
# decrypt agent tool parameters if it's secret-input
parameter_map = {}
masked_parameter_map = {}
tool_map = {}
for tool in agent_mode.get('tools') or []:
if not isinstance(tool, dict) or len(tool.keys()) <= 3:
continue
agent_tool_entity = AgentToolEntity(**tool)
# get tool
try:
tool_runtime = ToolManager.get_agent_tool_runtime(
tenant_id=current_user.current_tenant_id,
app_id=app_model.id,
agent_tool=agent_tool_entity,
)
manager = ToolParameterConfigurationManager(
tenant_id=current_user.current_tenant_id,
tool_runtime=tool_runtime,
provider_name=agent_tool_entity.provider_id,
provider_type=agent_tool_entity.provider_type,
identity_id=f'AGENT.{app_model.id}'
)
except Exception as e:
continue
# get decrypted parameters
if agent_tool_entity.tool_parameters:
parameters = manager.decrypt_tool_parameters(agent_tool_entity.tool_parameters or {})
masked_parameter = manager.mask_tool_parameters(parameters or {})
else:
parameters = {}
masked_parameter = {}
key = f'{agent_tool_entity.provider_id}.{agent_tool_entity.provider_type}.{agent_tool_entity.tool_name}'
masked_parameter_map[key] = masked_parameter
parameter_map[key] = parameters
tool_map[key] = tool_runtime
# encrypt agent tool parameters if it's secret-input
agent_mode = new_app_model_config.agent_mode_dict
for tool in agent_mode.get('tools') or []:
agent_tool_entity = AgentToolEntity(**tool)
# get tool
key = f'{agent_tool_entity.provider_id}.{agent_tool_entity.provider_type}.{agent_tool_entity.tool_name}'
if key in tool_map:
tool_runtime = tool_map[key]
else:
try:
tool_runtime = ToolManager.get_agent_tool_runtime(
tenant_id=current_user.current_tenant_id,
app_id=app_model.id,
agent_tool=agent_tool_entity,
)
except Exception as e:
continue
manager = ToolParameterConfigurationManager(
tenant_id=current_user.current_tenant_id,
tool_runtime=tool_runtime,
provider_name=agent_tool_entity.provider_id,
provider_type=agent_tool_entity.provider_type,
identity_id=f'AGENT.{app_model.id}'
)
manager.delete_tool_parameters_cache()
# override parameters if it equals to masked parameters
if agent_tool_entity.tool_parameters:
if key not in masked_parameter_map:
continue
for masked_key, masked_value in masked_parameter_map[key].items():
if masked_key in agent_tool_entity.tool_parameters and \
agent_tool_entity.tool_parameters[masked_key] == masked_value:
agent_tool_entity.tool_parameters[masked_key] = parameter_map[key].get(masked_key)
# encrypt parameters
if agent_tool_entity.tool_parameters:
tool['tool_parameters'] = manager.encrypt_tool_parameters(agent_tool_entity.tool_parameters or {})
# update app model config
new_app_model_config.agent_mode = json.dumps(agent_mode)
db.session.add(new_app_model_config)
db.session.flush()
app_model.app_model_config_id = new_app_model_config.id
app.app_model_config_id = new_app_model_config.id
db.session.commit()
app_model_config_was_updated.send(
app_model,
app,
app_model_config=new_app_model_config
)

View File

@ -4,7 +4,7 @@ from werkzeug.exceptions import Forbidden, NotFound
from constants.languages import supported_language
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.app import _get_app
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
@ -23,7 +23,6 @@ def parse_app_site_args():
parser.add_argument('customize_domain', type=str, required=False, location='json')
parser.add_argument('copyright', type=str, required=False, location='json')
parser.add_argument('privacy_policy', type=str, required=False, location='json')
parser.add_argument('custom_disclaimer', type=str, required=False, location='json')
parser.add_argument('customize_token_strategy', type=str, choices=['must', 'allow', 'not_allow'],
required=False,
location='json')
@ -35,13 +34,15 @@ class AppSite(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_site_fields)
def post(self, app_model):
def post(self, app_id):
args = parse_app_site_args()
# The role of the current user in the ta table must be editor, admin, or owner
if not current_user.is_editor:
app_id = str(app_id)
app_model = _get_app(app_id)
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
site = db.session.query(Site). \
@ -57,7 +58,6 @@ class AppSite(Resource):
'customize_domain',
'copyright',
'privacy_policy',
'custom_disclaimer',
'customize_token_strategy',
'prompt_public'
]:
@ -65,6 +65,13 @@ class AppSite(Resource):
if value is not None:
setattr(site, attr_name, value)
if attr_name == 'title':
app_model.name = value
elif attr_name == 'icon':
app_model.icon = value
elif attr_name == 'icon_background':
app_model.icon_background = value
db.session.commit()
return site
@ -75,9 +82,11 @@ class AppSiteAccessTokenReset(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_site_fields)
def post(self, app_model):
def post(self, app_id):
app_id = str(app_id)
app_model = _get_app(app_id)
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()

View File

@ -7,13 +7,12 @@ from flask_login import current_user
from flask_restful import Resource, reqparse
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.app import _get_app
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from libs.helper import datetime_string
from libs.login import login_required
from models.model import AppMode
class DailyConversationStatistic(Resource):
@ -21,9 +20,10 @@ class DailyConversationStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
def get(self, app_id):
account = current_user
app_id = str(app_id)
app_model = _get_app(app_id)
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@ -81,9 +81,10 @@ class DailyTerminalsStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
def get(self, app_id):
account = current_user
app_id = str(app_id)
app_model = _get_app(app_id)
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@ -140,9 +141,10 @@ class DailyTokenCostStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
def get(self, app_id):
account = current_user
app_id = str(app_id)
app_model = _get_app(app_id)
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@ -203,9 +205,10 @@ class AverageSessionInteractionStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT])
def get(self, app_model):
def get(self, app_id):
account = current_user
app_id = str(app_id)
app_model = _get_app(app_id, 'chat')
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@ -268,9 +271,10 @@ class UserSatisfactionRateStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
def get(self, app_id):
account = current_user
app_id = str(app_id)
app_model = _get_app(app_id)
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@ -330,9 +334,10 @@ class AverageResponseTimeStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=AppMode.COMPLETION)
def get(self, app_model):
def get(self, app_id):
account = current_user
app_id = str(app_id)
app_model = _get_app(app_id, 'completion')
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
@ -391,9 +396,10 @@ class TokensPerSecondStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
def get(self, app_id):
account = current_user
app_id = str(app_id)
app_model = _get_app(app_id)
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')

View File

@ -1,452 +0,0 @@
import json
import logging
from flask import abort, request
from flask_restful import Resource, marshal_with, reqparse
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
import services
from controllers.console import api
from controllers.console.app.error import ConversationCompletedError, DraftWorkflowNotExist, DraftWorkflowNotSync
from controllers.console.app.wraps import get_app_model
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.app.apps.base_app_queue_manager import AppQueueManager
from core.app.entities.app_invoke_entities import InvokeFrom
from fields.workflow_fields import workflow_fields
from fields.workflow_run_fields import workflow_run_node_execution_fields
from libs import helper
from libs.helper import TimestampField, uuid_value
from libs.login import current_user, login_required
from models.model import App, AppMode
from services.app_generate_service import AppGenerateService
from services.errors.app import WorkflowHashNotEqualError
from services.workflow_service import WorkflowService
logger = logging.getLogger(__name__)
class DraftWorkflowApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
@marshal_with(workflow_fields)
def get(self, app_model: App):
"""
Get draft workflow
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
# fetch draft workflow by app_model
workflow_service = WorkflowService()
workflow = workflow_service.get_draft_workflow(app_model=app_model)
if not workflow:
raise DraftWorkflowNotExist()
# return workflow, if not found, return None (initiate graph by frontend)
return workflow
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
def post(self, app_model: App):
"""
Sync draft workflow
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
content_type = request.headers.get('Content-Type')
if 'application/json' in content_type:
parser = reqparse.RequestParser()
parser.add_argument('graph', type=dict, required=True, nullable=False, location='json')
parser.add_argument('features', type=dict, required=True, nullable=False, location='json')
parser.add_argument('hash', type=str, required=False, location='json')
args = parser.parse_args()
elif 'text/plain' in content_type:
try:
data = json.loads(request.data.decode('utf-8'))
if 'graph' not in data or 'features' not in data:
raise ValueError('graph or features not found in data')
if not isinstance(data.get('graph'), dict) or not isinstance(data.get('features'), dict):
raise ValueError('graph or features is not a dict')
args = {
'graph': data.get('graph'),
'features': data.get('features'),
'hash': data.get('hash')
}
except json.JSONDecodeError:
return {'message': 'Invalid JSON data'}, 400
else:
abort(415)
workflow_service = WorkflowService()
try:
workflow = workflow_service.sync_draft_workflow(
app_model=app_model,
graph=args.get('graph'),
features=args.get('features'),
unique_hash=args.get('hash'),
account=current_user
)
except WorkflowHashNotEqualError:
raise DraftWorkflowNotSync()
return {
"result": "success",
"hash": workflow.unique_hash,
"updated_at": TimestampField().format(workflow.updated_at or workflow.created_at)
}
class AdvancedChatDraftWorkflowRunApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT])
def post(self, app_model: App):
"""
Run draft workflow
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, location='json')
parser.add_argument('query', type=str, required=True, location='json', default='')
parser.add_argument('files', type=list, location='json')
parser.add_argument('conversation_id', type=uuid_value, location='json')
args = parser.parse_args()
try:
response = AppGenerateService.generate(
app_model=app_model,
user=current_user,
args=args,
invoke_from=InvokeFrom.DEBUGGER,
streaming=True
)
return helper.compact_generate_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except services.errors.conversation.ConversationCompletedError:
raise ConversationCompletedError()
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
class AdvancedChatDraftRunIterationNodeApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT])
def post(self, app_model: App, node_id: str):
"""
Run draft workflow iteration node
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, location='json')
args = parser.parse_args()
try:
response = AppGenerateService.generate_single_iteration(
app_model=app_model,
user=current_user,
node_id=node_id,
args=args,
streaming=True
)
return helper.compact_generate_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except services.errors.conversation.ConversationCompletedError:
raise ConversationCompletedError()
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
class WorkflowDraftRunIterationNodeApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.WORKFLOW])
def post(self, app_model: App, node_id: str):
"""
Run draft workflow iteration node
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, location='json')
args = parser.parse_args()
try:
response = AppGenerateService.generate_single_iteration(
app_model=app_model,
user=current_user,
node_id=node_id,
args=args,
streaming=True
)
return helper.compact_generate_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except services.errors.conversation.ConversationCompletedError:
raise ConversationCompletedError()
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
class DraftWorkflowRunApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.WORKFLOW])
def post(self, app_model: App):
"""
Run draft workflow
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, required=True, nullable=False, location='json')
parser.add_argument('files', type=list, required=False, location='json')
args = parser.parse_args()
try:
response = AppGenerateService.generate(
app_model=app_model,
user=current_user,
args=args,
invoke_from=InvokeFrom.DEBUGGER,
streaming=True
)
return helper.compact_generate_response(response)
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
class WorkflowTaskStopApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
def post(self, app_model: App, task_id: str):
"""
Stop workflow task
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
AppQueueManager.set_stop_flag(task_id, InvokeFrom.DEBUGGER, current_user.id)
return {
"result": "success"
}
class DraftWorkflowNodeRunApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
@marshal_with(workflow_run_node_execution_fields)
def post(self, app_model: App, node_id: str):
"""
Run draft workflow node
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, required=True, nullable=False, location='json')
args = parser.parse_args()
workflow_service = WorkflowService()
workflow_node_execution = workflow_service.run_draft_workflow_node(
app_model=app_model,
node_id=node_id,
user_inputs=args.get('inputs'),
account=current_user
)
return workflow_node_execution
class PublishedWorkflowApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
@marshal_with(workflow_fields)
def get(self, app_model: App):
"""
Get published workflow
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
# fetch published workflow by app_model
workflow_service = WorkflowService()
workflow = workflow_service.get_published_workflow(app_model=app_model)
# return workflow, if not found, return None
return workflow
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
def post(self, app_model: App):
"""
Publish workflow
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
workflow_service = WorkflowService()
workflow = workflow_service.publish_workflow(app_model=app_model, account=current_user)
return {
"result": "success",
"created_at": TimestampField().format(workflow.created_at)
}
class DefaultBlockConfigsApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
def get(self, app_model: App):
"""
Get default block config
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
# Get default block configs
workflow_service = WorkflowService()
return workflow_service.get_default_block_configs()
class DefaultBlockConfigApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
def get(self, app_model: App, block_type: str):
"""
Get default block config
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('q', type=str, location='args')
args = parser.parse_args()
filters = None
if args.get('q'):
try:
filters = json.loads(args.get('q'))
except json.JSONDecodeError:
raise ValueError('Invalid filters')
# Get default block configs
workflow_service = WorkflowService()
return workflow_service.get_default_block_config(
node_type=block_type,
filters=filters
)
class ConvertToWorkflowApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.CHAT, AppMode.COMPLETION])
def post(self, app_model: App):
"""
Convert basic mode of chatbot app to workflow mode
Convert expert mode of chatbot app to workflow mode
Convert Completion App to Workflow App
"""
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
if request.data:
parser = reqparse.RequestParser()
parser.add_argument('name', type=str, required=False, nullable=True, location='json')
parser.add_argument('icon', type=str, required=False, nullable=True, location='json')
parser.add_argument('icon_background', type=str, required=False, nullable=True, location='json')
args = parser.parse_args()
else:
args = {}
# convert to workflow mode
workflow_service = WorkflowService()
new_app_model = workflow_service.convert_to_workflow(
app_model=app_model,
account=current_user,
args=args
)
# return app id
return {
'new_app_id': new_app_model.id,
}
api.add_resource(DraftWorkflowApi, '/apps/<uuid:app_id>/workflows/draft')
api.add_resource(AdvancedChatDraftWorkflowRunApi, '/apps/<uuid:app_id>/advanced-chat/workflows/draft/run')
api.add_resource(DraftWorkflowRunApi, '/apps/<uuid:app_id>/workflows/draft/run')
api.add_resource(WorkflowTaskStopApi, '/apps/<uuid:app_id>/workflow-runs/tasks/<string:task_id>/stop')
api.add_resource(DraftWorkflowNodeRunApi, '/apps/<uuid:app_id>/workflows/draft/nodes/<string:node_id>/run')
api.add_resource(AdvancedChatDraftRunIterationNodeApi, '/apps/<uuid:app_id>/advanced-chat/workflows/draft/iteration/nodes/<string:node_id>/run')
api.add_resource(WorkflowDraftRunIterationNodeApi, '/apps/<uuid:app_id>/workflows/draft/iteration/nodes/<string:node_id>/run')
api.add_resource(PublishedWorkflowApi, '/apps/<uuid:app_id>/workflows/publish')
api.add_resource(DefaultBlockConfigsApi, '/apps/<uuid:app_id>/workflows/default-workflow-block-configs')
api.add_resource(DefaultBlockConfigApi, '/apps/<uuid:app_id>/workflows/default-workflow-block-configs'
'/<string:block_type>')
api.add_resource(ConvertToWorkflowApi, '/apps/<uuid:app_id>/convert-to-workflow')

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@ -1,41 +0,0 @@
from flask_restful import Resource, marshal_with, reqparse
from flask_restful.inputs import int_range
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
from libs.login import login_required
from models.model import App, AppMode
from services.workflow_app_service import WorkflowAppService
class WorkflowAppLogApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.WORKFLOW])
@marshal_with(workflow_app_log_pagination_fields)
def get(self, app_model: App):
"""
Get workflow app logs
"""
parser = reqparse.RequestParser()
parser.add_argument('keyword', type=str, location='args')
parser.add_argument('status', type=str, choices=['succeeded', 'failed', 'stopped'], location='args')
parser.add_argument('page', type=int_range(1, 99999), default=1, location='args')
parser.add_argument('limit', type=int_range(1, 100), default=20, location='args')
args = parser.parse_args()
# get paginate workflow app logs
workflow_app_service = WorkflowAppService()
workflow_app_log_pagination = workflow_app_service.get_paginate_workflow_app_logs(
app_model=app_model,
args=args
)
return workflow_app_log_pagination
api.add_resource(WorkflowAppLogApi, '/apps/<uuid:app_id>/workflow-app-logs')

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@ -1,109 +0,0 @@
from flask_restful import Resource, marshal_with, reqparse
from flask_restful.inputs import int_range
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from fields.workflow_run_fields import (
advanced_chat_workflow_run_pagination_fields,
workflow_run_detail_fields,
workflow_run_node_execution_list_fields,
workflow_run_pagination_fields,
)
from libs.helper import uuid_value
from libs.login import login_required
from models.model import App, AppMode
from services.workflow_run_service import WorkflowRunService
class AdvancedChatAppWorkflowRunListApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT])
@marshal_with(advanced_chat_workflow_run_pagination_fields)
def get(self, app_model: App):
"""
Get advanced chat app workflow run list
"""
parser = reqparse.RequestParser()
parser.add_argument('last_id', type=uuid_value, location='args')
parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
args = parser.parse_args()
workflow_run_service = WorkflowRunService()
result = workflow_run_service.get_paginate_advanced_chat_workflow_runs(
app_model=app_model,
args=args
)
return result
class WorkflowRunListApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
@marshal_with(workflow_run_pagination_fields)
def get(self, app_model: App):
"""
Get workflow run list
"""
parser = reqparse.RequestParser()
parser.add_argument('last_id', type=uuid_value, location='args')
parser.add_argument('limit', type=int_range(1, 100), required=False, default=20, location='args')
args = parser.parse_args()
workflow_run_service = WorkflowRunService()
result = workflow_run_service.get_paginate_workflow_runs(
app_model=app_model,
args=args
)
return result
class WorkflowRunDetailApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
@marshal_with(workflow_run_detail_fields)
def get(self, app_model: App, run_id):
"""
Get workflow run detail
"""
run_id = str(run_id)
workflow_run_service = WorkflowRunService()
workflow_run = workflow_run_service.get_workflow_run(app_model=app_model, run_id=run_id)
return workflow_run
class WorkflowRunNodeExecutionListApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
@marshal_with(workflow_run_node_execution_list_fields)
def get(self, app_model: App, run_id):
"""
Get workflow run node execution list
"""
run_id = str(run_id)
workflow_run_service = WorkflowRunService()
node_executions = workflow_run_service.get_workflow_run_node_executions(app_model=app_model, run_id=run_id)
return {
'data': node_executions
}
api.add_resource(AdvancedChatAppWorkflowRunListApi, '/apps/<uuid:app_id>/advanced-chat/workflow-runs')
api.add_resource(WorkflowRunListApi, '/apps/<uuid:app_id>/workflow-runs')
api.add_resource(WorkflowRunDetailApi, '/apps/<uuid:app_id>/workflow-runs/<uuid:run_id>')
api.add_resource(WorkflowRunNodeExecutionListApi, '/apps/<uuid:app_id>/workflow-runs/<uuid:run_id>/node-executions')

View File

@ -1,278 +0,0 @@
from datetime import datetime
from decimal import Decimal
import pytz
from flask import jsonify
from flask_login import current_user
from flask_restful import Resource, reqparse
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from libs.helper import datetime_string
from libs.login import login_required
from models.model import AppMode
from models.workflow import WorkflowRunTriggeredFrom
class WorkflowDailyRunsStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
account = current_user
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
args = parser.parse_args()
sql_query = '''
SELECT date(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, count(id) AS runs
FROM workflow_runs
WHERE app_id = :app_id
AND triggered_from = :triggered_from
'''
arg_dict = {'tz': account.timezone, 'app_id': app_model.id, 'triggered_from': WorkflowRunTriggeredFrom.APP_RUN.value}
timezone = pytz.timezone(account.timezone)
utc_timezone = pytz.utc
if args['start']:
start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
start_datetime = start_datetime.replace(second=0)
start_datetime_timezone = timezone.localize(start_datetime)
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
sql_query += ' and created_at >= :start'
arg_dict['start'] = start_datetime_utc
if args['end']:
end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
end_datetime = end_datetime.replace(second=0)
end_datetime_timezone = timezone.localize(end_datetime)
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
sql_query += ' and created_at < :end'
arg_dict['end'] = end_datetime_utc
sql_query += ' GROUP BY date order by date'
response_data = []
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'runs': i.runs
})
return jsonify({
'data': response_data
})
class WorkflowDailyTerminalsStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
account = current_user
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
args = parser.parse_args()
sql_query = '''
SELECT date(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date, count(distinct workflow_runs.created_by) AS terminal_count
FROM workflow_runs
WHERE app_id = :app_id
AND triggered_from = :triggered_from
'''
arg_dict = {'tz': account.timezone, 'app_id': app_model.id, 'triggered_from': WorkflowRunTriggeredFrom.APP_RUN.value}
timezone = pytz.timezone(account.timezone)
utc_timezone = pytz.utc
if args['start']:
start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
start_datetime = start_datetime.replace(second=0)
start_datetime_timezone = timezone.localize(start_datetime)
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
sql_query += ' and created_at >= :start'
arg_dict['start'] = start_datetime_utc
if args['end']:
end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
end_datetime = end_datetime.replace(second=0)
end_datetime_timezone = timezone.localize(end_datetime)
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
sql_query += ' and created_at < :end'
arg_dict['end'] = end_datetime_utc
sql_query += ' GROUP BY date order by date'
response_data = []
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'terminal_count': i.terminal_count
})
return jsonify({
'data': response_data
})
class WorkflowDailyTokenCostStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
def get(self, app_model):
account = current_user
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
args = parser.parse_args()
sql_query = '''
SELECT
date(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date,
SUM(workflow_runs.total_tokens) as token_count
FROM workflow_runs
WHERE app_id = :app_id
AND triggered_from = :triggered_from
'''
arg_dict = {'tz': account.timezone, 'app_id': app_model.id, 'triggered_from': WorkflowRunTriggeredFrom.APP_RUN.value}
timezone = pytz.timezone(account.timezone)
utc_timezone = pytz.utc
if args['start']:
start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
start_datetime = start_datetime.replace(second=0)
start_datetime_timezone = timezone.localize(start_datetime)
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
sql_query += ' and created_at >= :start'
arg_dict['start'] = start_datetime_utc
if args['end']:
end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
end_datetime = end_datetime.replace(second=0)
end_datetime_timezone = timezone.localize(end_datetime)
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
sql_query += ' and created_at < :end'
arg_dict['end'] = end_datetime_utc
sql_query += ' GROUP BY date order by date'
response_data = []
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'token_count': i.token_count,
})
return jsonify({
'data': response_data
})
class WorkflowAverageAppInteractionStatistic(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.WORKFLOW])
def get(self, app_model):
account = current_user
parser = reqparse.RequestParser()
parser.add_argument('start', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
parser.add_argument('end', type=datetime_string('%Y-%m-%d %H:%M'), location='args')
args = parser.parse_args()
sql_query = """
SELECT
AVG(sub.interactions) as interactions,
sub.date
FROM
(SELECT
date(DATE_TRUNC('day', c.created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date,
c.created_by,
COUNT(c.id) AS interactions
FROM workflow_runs c
WHERE c.app_id = :app_id
AND c.triggered_from = :triggered_from
{{start}}
{{end}}
GROUP BY date, c.created_by) sub
GROUP BY sub.date
"""
arg_dict = {'tz': account.timezone, 'app_id': app_model.id, 'triggered_from': WorkflowRunTriggeredFrom.APP_RUN.value}
timezone = pytz.timezone(account.timezone)
utc_timezone = pytz.utc
if args['start']:
start_datetime = datetime.strptime(args['start'], '%Y-%m-%d %H:%M')
start_datetime = start_datetime.replace(second=0)
start_datetime_timezone = timezone.localize(start_datetime)
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
sql_query = sql_query.replace('{{start}}', ' AND c.created_at >= :start')
arg_dict['start'] = start_datetime_utc
else:
sql_query = sql_query.replace('{{start}}', '')
if args['end']:
end_datetime = datetime.strptime(args['end'], '%Y-%m-%d %H:%M')
end_datetime = end_datetime.replace(second=0)
end_datetime_timezone = timezone.localize(end_datetime)
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
sql_query = sql_query.replace('{{end}}', ' and c.created_at < :end')
arg_dict['end'] = end_datetime_utc
else:
sql_query = sql_query.replace('{{end}}', '')
response_data = []
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'interactions': float(i.interactions.quantize(Decimal('0.01')))
})
return jsonify({
'data': response_data
})
api.add_resource(WorkflowDailyRunsStatistic, '/apps/<uuid:app_id>/workflow/statistics/daily-conversations')
api.add_resource(WorkflowDailyTerminalsStatistic, '/apps/<uuid:app_id>/workflow/statistics/daily-terminals')
api.add_resource(WorkflowDailyTokenCostStatistic, '/apps/<uuid:app_id>/workflow/statistics/token-costs')
api.add_resource(WorkflowAverageAppInteractionStatistic, '/apps/<uuid:app_id>/workflow/statistics/average-app-interactions')

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@ -1,55 +0,0 @@
from collections.abc import Callable
from functools import wraps
from typing import Optional, Union
from controllers.console.app.error import AppNotFoundError
from extensions.ext_database import db
from libs.login import current_user
from models.model import App, AppMode
def get_app_model(view: Optional[Callable] = None, *,
mode: Union[AppMode, list[AppMode]] = None):
def decorator(view_func):
@wraps(view_func)
def decorated_view(*args, **kwargs):
if not kwargs.get('app_id'):
raise ValueError('missing app_id in path parameters')
app_id = kwargs.get('app_id')
app_id = str(app_id)
del kwargs['app_id']
app_model = db.session.query(App).filter(
App.id == app_id,
App.tenant_id == current_user.current_tenant_id,
App.status == 'normal'
).first()
if not app_model:
raise AppNotFoundError()
app_mode = AppMode.value_of(app_model.mode)
if app_mode == AppMode.CHANNEL:
raise AppNotFoundError()
if mode is not None:
if isinstance(mode, list):
modes = mode
else:
modes = [mode]
if app_mode not in modes:
mode_values = {m.value for m in modes}
raise AppNotFoundError(f"App mode is not in the supported list: {mode_values}")
kwargs['app_model'] = app_model
return view_func(*args, **kwargs)
return decorated_view
if view is None:
return decorator
else:
return decorator(view)

View File

@ -1,6 +1,6 @@
import base64
import datetime
import secrets
from datetime import datetime
from flask_restful import Resource, reqparse
@ -66,7 +66,7 @@ class ActivateApi(Resource):
account.timezone = args['timezone']
account.interface_theme = 'light'
account.status = AccountStatus.ACTIVE.value
account.initialized_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
account.initialized_at = datetime.utcnow()
db.session.commit()
return {'result': 'success'}

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@ -1,73 +0,0 @@
from flask_login import current_user
from flask_restful import Resource, reqparse
from werkzeug.exceptions import Forbidden
from controllers.console import api
from controllers.console.auth.error import ApiKeyAuthFailedError
from libs.login import login_required
from services.auth.api_key_auth_service import ApiKeyAuthService
from ..setup import setup_required
from ..wraps import account_initialization_required
class ApiKeyAuthDataSource(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
data_source_api_key_bindings = ApiKeyAuthService.get_provider_auth_list(current_user.current_tenant_id)
if data_source_api_key_bindings:
return {
'sources': [{
'id': data_source_api_key_binding.id,
'category': data_source_api_key_binding.category,
'provider': data_source_api_key_binding.provider,
'disabled': data_source_api_key_binding.disabled,
'created_at': int(data_source_api_key_binding.created_at.timestamp()),
'updated_at': int(data_source_api_key_binding.updated_at.timestamp()),
}
for data_source_api_key_binding in
data_source_api_key_bindings]
}
return {'sources': []}
class ApiKeyAuthDataSourceBinding(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
# The role of the current user in the table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('category', type=str, required=True, nullable=False, location='json')
parser.add_argument('provider', type=str, required=True, nullable=False, location='json')
parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
args = parser.parse_args()
ApiKeyAuthService.validate_api_key_auth_args(args)
try:
ApiKeyAuthService.create_provider_auth(current_user.current_tenant_id, args)
except Exception as e:
raise ApiKeyAuthFailedError(str(e))
return {'result': 'success'}, 200
class ApiKeyAuthDataSourceBindingDelete(Resource):
@setup_required
@login_required
@account_initialization_required
def delete(self, binding_id):
# The role of the current user in the table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
ApiKeyAuthService.delete_provider_auth(current_user.current_tenant_id, binding_id)
return {'result': 'success'}, 200
api.add_resource(ApiKeyAuthDataSource, '/api-key-auth/data-source')
api.add_resource(ApiKeyAuthDataSourceBinding, '/api-key-auth/data-source/binding')
api.add_resource(ApiKeyAuthDataSourceBindingDelete, '/api-key-auth/data-source/<uuid:binding_id>')

View File

@ -1,7 +0,0 @@
from libs.exception import BaseHTTPException
class ApiKeyAuthFailedError(BaseHTTPException):
error_code = 'auth_failed'
description = "{message}"
code = 500

View File

@ -26,13 +26,10 @@ class LoginApi(Resource):
try:
account = AccountService.authenticate(args['email'], args['password'])
except services.errors.account.AccountLoginError as e:
return {'code': 'unauthorized', 'message': str(e)}, 401
except services.errors.account.AccountLoginError:
return {'code': 'unauthorized', 'message': 'Invalid email or password'}, 401
# SELF_HOSTED only have one workspace
tenants = TenantService.get_join_tenants(account)
if len(tenants) == 0:
return {'result': 'fail', 'data': 'workspace not found, please contact system admin to invite you to join in a workspace'}
TenantService.create_owner_tenant_if_not_exist(account)
AccountService.update_last_login(account, request)

View File

@ -1,5 +1,5 @@
import logging
from datetime import datetime, timezone
from datetime import datetime
from typing import Optional
import requests
@ -73,7 +73,7 @@ class OAuthCallback(Resource):
if account.status == AccountStatus.PENDING.value:
account.status = AccountStatus.ACTIVE.value
account.initialized_at = datetime.now(timezone.utc).replace(tzinfo=None)
account.initialized_at = datetime.utcnow()
db.session.commit()
TenantService.create_owner_tenant_if_not_exist(account)

View File

@ -16,7 +16,7 @@ from extensions.ext_database import db
from fields.data_source_fields import integrate_list_fields, integrate_notion_info_list_fields
from libs.login import login_required
from models.dataset import Document
from models.source import DataSourceOauthBinding
from models.source import DataSourceBinding
from services.dataset_service import DatasetService, DocumentService
from tasks.document_indexing_sync_task import document_indexing_sync_task
@ -29,9 +29,9 @@ class DataSourceApi(Resource):
@marshal_with(integrate_list_fields)
def get(self):
# get workspace data source integrates
data_source_integrates = db.session.query(DataSourceOauthBinding).filter(
DataSourceOauthBinding.tenant_id == current_user.current_tenant_id,
DataSourceOauthBinding.disabled == False
data_source_integrates = db.session.query(DataSourceBinding).filter(
DataSourceBinding.tenant_id == current_user.current_tenant_id,
DataSourceBinding.disabled == False
).all()
base_url = request.url_root.rstrip('/')
@ -71,7 +71,7 @@ class DataSourceApi(Resource):
def patch(self, binding_id, action):
binding_id = str(binding_id)
action = str(action)
data_source_binding = DataSourceOauthBinding.query.filter_by(
data_source_binding = DataSourceBinding.query.filter_by(
id=binding_id
).first()
if data_source_binding is None:
@ -80,7 +80,7 @@ class DataSourceApi(Resource):
if action == 'enable':
if data_source_binding.disabled:
data_source_binding.disabled = False
data_source_binding.updated_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
data_source_binding.updated_at = datetime.datetime.utcnow()
db.session.add(data_source_binding)
db.session.commit()
else:
@ -89,7 +89,7 @@ class DataSourceApi(Resource):
if action == 'disable':
if not data_source_binding.disabled:
data_source_binding.disabled = True
data_source_binding.updated_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
data_source_binding.updated_at = datetime.datetime.utcnow()
db.session.add(data_source_binding)
db.session.commit()
else:
@ -124,7 +124,7 @@ class DataSourceNotionListApi(Resource):
data_source_info = json.loads(document.data_source_info)
exist_page_ids.append(data_source_info['notion_page_id'])
# get all authorized pages
data_source_bindings = DataSourceOauthBinding.query.filter_by(
data_source_bindings = DataSourceBinding.query.filter_by(
tenant_id=current_user.current_tenant_id,
provider='notion',
disabled=False
@ -163,12 +163,12 @@ class DataSourceNotionApi(Resource):
def get(self, workspace_id, page_id, page_type):
workspace_id = str(workspace_id)
page_id = str(page_id)
data_source_binding = DataSourceOauthBinding.query.filter(
data_source_binding = DataSourceBinding.query.filter(
db.and_(
DataSourceOauthBinding.tenant_id == current_user.current_tenant_id,
DataSourceOauthBinding.provider == 'notion',
DataSourceOauthBinding.disabled == False,
DataSourceOauthBinding.source_info['workspace_id'] == f'"{workspace_id}"'
DataSourceBinding.tenant_id == current_user.current_tenant_id,
DataSourceBinding.provider == 'notion',
DataSourceBinding.disabled == False,
DataSourceBinding.source_info['workspace_id'] == f'"{workspace_id}"'
)
).first()
if not data_source_binding:

View File

@ -8,14 +8,13 @@ import services
from controllers.console import api
from controllers.console.apikey import api_key_fields, api_key_list
from controllers.console.app.error import ProviderNotInitializeError
from controllers.console.datasets.error import DatasetInUseError, DatasetNameDuplicateError
from controllers.console.datasets.error import DatasetNameDuplicateError
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.indexing_runner import IndexingRunner
from core.model_runtime.entities.model_entities import ModelType
from core.provider_manager import ProviderManager
from core.rag.datasource.vdb.vector_type import VectorType
from core.rag.extractor.entity.extract_setting import ExtractSetting
from extensions.ext_database import db
from fields.app_fields import related_app_list
@ -49,14 +48,11 @@ class DatasetListApi(Resource):
limit = request.args.get('limit', default=20, type=int)
ids = request.args.getlist('ids')
provider = request.args.get('provider', default="vendor")
search = request.args.get('keyword', default=None, type=str)
tag_ids = request.args.getlist('tag_ids')
if ids:
datasets, total = DatasetService.get_datasets_by_ids(ids, current_user.current_tenant_id)
else:
datasets, total = DatasetService.get_datasets(page, limit, provider,
current_user.current_tenant_id, current_user, search, tag_ids)
current_user.current_tenant_id, current_user)
# check embedding setting
provider_manager = ProviderManager()
@ -107,8 +103,8 @@ class DatasetListApi(Resource):
help='Invalid indexing technique.')
args = parser.parse_args()
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
try:
@ -188,15 +184,11 @@ class DatasetApi(Resource):
help='Invalid indexing technique.')
parser.add_argument('permission', type=str, location='json', choices=(
'only_me', 'all_team_members'), help='Invalid permission.')
parser.add_argument('embedding_model', type=str,
location='json', help='Invalid embedding model.')
parser.add_argument('embedding_model_provider', type=str,
location='json', help='Invalid embedding model provider.')
parser.add_argument('retrieval_model', type=dict, location='json', help='Invalid retrieval model.')
args = parser.parse_args()
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
dataset = DatasetService.update_dataset(
@ -213,17 +205,14 @@ class DatasetApi(Resource):
def delete(self, dataset_id):
dataset_id_str = str(dataset_id)
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
try:
if DatasetService.delete_dataset(dataset_id_str, current_user):
return {'result': 'success'}, 204
else:
raise NotFound("Dataset not found.")
except services.errors.dataset.DatasetInUseError:
raise DatasetInUseError()
if DatasetService.delete_dataset(dataset_id_str, current_user):
return {'result': 'success'}, 204
else:
raise NotFound("Dataset not found.")
class DatasetQueryApi(Resource):
@ -315,22 +304,6 @@ class DatasetIndexingEstimateApi(Resource):
document_model=args['doc_form']
)
extract_settings.append(extract_setting)
elif args['info_list']['data_source_type'] == 'website_crawl':
website_info_list = args['info_list']['website_info_list']
for url in website_info_list['urls']:
extract_setting = ExtractSetting(
datasource_type="website_crawl",
website_info={
"provider": website_info_list['provider'],
"job_id": website_info_list['job_id'],
"url": url,
"tenant_id": current_user.current_tenant_id,
"mode": 'crawl',
"only_main_content": website_info_list['only_main_content']
},
document_model=args['doc_form']
)
extract_settings.append(extract_setting)
else:
raise ValueError('Data source type not support')
indexing_runner = IndexingRunner()
@ -496,21 +469,20 @@ class DatasetRetrievalSettingApi(Resource):
@account_initialization_required
def get(self):
vector_type = current_app.config['VECTOR_STORE']
match vector_type:
case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA | VectorType.TENCENT:
return {
'retrieval_method': [
'semantic_search'
]
}
case VectorType.QDRANT | VectorType.WEAVIATE:
return {
'retrieval_method': [
'semantic_search', 'full_text_search', 'hybrid_search'
]
}
case _:
raise ValueError(f"Unsupported vector db type {vector_type}.")
if vector_type == 'milvus':
return {
'retrieval_method': [
'semantic_search'
]
}
elif vector_type == 'qdrant' or vector_type == 'weaviate':
return {
'retrieval_method': [
'semantic_search', 'full_text_search', 'hybrid_search'
]
}
else:
raise ValueError("Unsupported vector db type.")
class DatasetRetrievalSettingMockApi(Resource):
@ -518,45 +490,26 @@ class DatasetRetrievalSettingMockApi(Resource):
@login_required
@account_initialization_required
def get(self, vector_type):
match vector_type:
case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA | VectorType.TENCEN:
return {
'retrieval_method': [
'semantic_search'
]
}
case VectorType.QDRANT | VectorType.WEAVIATE:
return {
'retrieval_method': [
'semantic_search', 'full_text_search', 'hybrid_search'
]
}
case _:
raise ValueError(f"Unsupported vector db type {vector_type}.")
class DatasetErrorDocs(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, dataset_id):
dataset_id_str = str(dataset_id)
dataset = DatasetService.get_dataset(dataset_id_str)
if dataset is None:
raise NotFound("Dataset not found.")
results = DocumentService.get_error_documents_by_dataset_id(dataset_id_str)
return {
'data': [marshal(item, document_status_fields) for item in results],
'total': len(results)
}, 200
if vector_type == 'milvus':
return {
'retrieval_method': [
'semantic_search'
]
}
elif vector_type == 'qdrant' or vector_type == 'weaviate':
return {
'retrieval_method': [
'semantic_search', 'full_text_search', 'hybrid_search'
]
}
else:
raise ValueError("Unsupported vector db type.")
api.add_resource(DatasetListApi, '/datasets')
api.add_resource(DatasetApi, '/datasets/<uuid:dataset_id>')
api.add_resource(DatasetQueryApi, '/datasets/<uuid:dataset_id>/queries')
api.add_resource(DatasetErrorDocs, '/datasets/<uuid:dataset_id>/error-docs')
api.add_resource(DatasetIndexingEstimateApi, '/datasets/indexing-estimate')
api.add_resource(DatasetRelatedAppListApi, '/datasets/<uuid:dataset_id>/related-apps')
api.add_resource(DatasetIndexingStatusApi, '/datasets/<uuid:dataset_id>/indexing-status')

View File

@ -1,12 +1,9 @@
import logging
from argparse import ArgumentTypeError
from datetime import datetime, timezone
from datetime import datetime
from flask import request
from flask_login import current_user
from flask_restful import Resource, fields, marshal, marshal_with, reqparse
from sqlalchemy import asc, desc
from transformers.hf_argparser import string_to_bool
from werkzeug.exceptions import Forbidden, NotFound
import services
@ -143,11 +140,7 @@ class DatasetDocumentListApi(Resource):
limit = request.args.get('limit', default=20, type=int)
search = request.args.get('keyword', default=None, type=str)
sort = request.args.get('sort', default='-created_at', type=str)
# "yes", "true", "t", "y", "1" convert to True, while others convert to False.
try:
fetch = string_to_bool(request.args.get('fetch', default='false'))
except (ArgumentTypeError, ValueError, Exception) as e:
fetch = False
fetch = request.args.get('fetch', default=False, type=bool)
dataset = DatasetService.get_dataset(dataset_id)
if not dataset:
raise NotFound('Dataset not found.')
@ -226,8 +219,8 @@ class DatasetDocumentListApi(Resource):
if not dataset:
raise NotFound('Dataset not found.')
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
try:
@ -240,7 +233,7 @@ class DatasetDocumentListApi(Resource):
location='json')
parser.add_argument('data_source', type=dict, required=False, location='json')
parser.add_argument('process_rule', type=dict, required=False, location='json')
parser.add_argument('duplicate', type=bool, default=True, nullable=False, location='json')
parser.add_argument('duplicate', type=bool, nullable=False, location='json')
parser.add_argument('original_document_id', type=str, required=False, location='json')
parser.add_argument('doc_form', type=str, default='text_model', required=False, nullable=False, location='json')
parser.add_argument('doc_language', type=str, default='English', required=False, nullable=False,
@ -278,8 +271,8 @@ class DatasetInitApi(Resource):
@marshal_with(dataset_and_document_fields)
@cloud_edition_billing_resource_check('vector_space')
def post(self):
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
parser = reqparse.RequestParser()
@ -400,6 +393,9 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
def get(self, dataset_id, batch):
dataset_id = str(dataset_id)
batch = str(batch)
dataset = DatasetService.get_dataset(dataset_id)
if dataset is None:
raise NotFound("Dataset not found.")
documents = self.get_batch_documents(dataset_id, batch)
response = {
"tokens": 0,
@ -465,20 +461,6 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
document_model=document.doc_form
)
extract_settings.append(extract_setting)
elif document.data_source_type == 'website_crawl':
extract_setting = ExtractSetting(
datasource_type="website_crawl",
website_info={
"provider": data_source_info['provider'],
"job_id": data_source_info['job_id'],
"url": data_source_info['url'],
"tenant_id": current_user.current_tenant_id,
"mode": data_source_info['mode'],
"only_main_content": data_source_info['only_main_content']
},
document_model=document.doc_form
)
extract_settings.append(extract_setting)
else:
raise ValueError('Data source type not support')
@ -646,8 +628,8 @@ class DocumentProcessingApi(DocumentResource):
document_id = str(document_id)
document = self.get_document(dataset_id, document_id)
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
if action == "pause":
@ -655,7 +637,7 @@ class DocumentProcessingApi(DocumentResource):
raise InvalidActionError('Document not in indexing state.')
document.paused_by = current_user.id
document.paused_at = datetime.now(timezone.utc).replace(tzinfo=None)
document.paused_at = datetime.utcnow()
document.is_paused = True
db.session.commit()
@ -710,8 +692,8 @@ class DocumentMetadataApi(DocumentResource):
doc_type = req_data.get('doc_type')
doc_metadata = req_data.get('doc_metadata')
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
if doc_type is None or doc_metadata is None:
@ -735,7 +717,7 @@ class DocumentMetadataApi(DocumentResource):
document.doc_metadata[key] = value
document.doc_type = doc_type
document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
document.updated_at = datetime.utcnow()
db.session.commit()
return {'result': 'success', 'message': 'Document metadata updated.'}, 200
@ -757,8 +739,8 @@ class DocumentStatusApi(DocumentResource):
document = self.get_document(dataset_id, document_id)
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
indexing_cache_key = 'document_{}_indexing'.format(document.id)
@ -773,7 +755,7 @@ class DocumentStatusApi(DocumentResource):
document.enabled = True
document.disabled_at = None
document.disabled_by = None
document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
document.updated_at = datetime.utcnow()
db.session.commit()
# Set cache to prevent indexing the same document multiple times
@ -790,9 +772,9 @@ class DocumentStatusApi(DocumentResource):
raise InvalidActionError('Document already disabled.')
document.enabled = False
document.disabled_at = datetime.now(timezone.utc).replace(tzinfo=None)
document.disabled_at = datetime.utcnow()
document.disabled_by = current_user.id
document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
document.updated_at = datetime.utcnow()
db.session.commit()
# Set cache to prevent indexing the same document multiple times
@ -807,9 +789,9 @@ class DocumentStatusApi(DocumentResource):
raise InvalidActionError('Document already archived.')
document.archived = True
document.archived_at = datetime.now(timezone.utc).replace(tzinfo=None)
document.archived_at = datetime.utcnow()
document.archived_by = current_user.id
document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
document.updated_at = datetime.utcnow()
db.session.commit()
if document.enabled:
@ -826,7 +808,7 @@ class DocumentStatusApi(DocumentResource):
document.archived = False
document.archived_at = None
document.archived_by = None
document.updated_at = datetime.now(timezone.utc).replace(tzinfo=None)
document.updated_at = datetime.utcnow()
db.session.commit()
# Set cache to prevent indexing the same document multiple times
@ -901,98 +883,6 @@ class DocumentRecoverApi(DocumentResource):
return {'result': 'success'}, 204
class DocumentRetryApi(DocumentResource):
@setup_required
@login_required
@account_initialization_required
def post(self, dataset_id):
"""retry document."""
parser = reqparse.RequestParser()
parser.add_argument('document_ids', type=list, required=True, nullable=False,
location='json')
args = parser.parse_args()
dataset_id = str(dataset_id)
dataset = DatasetService.get_dataset(dataset_id)
retry_documents = []
if not dataset:
raise NotFound('Dataset not found.')
for document_id in args['document_ids']:
try:
document_id = str(document_id)
document = DocumentService.get_document(dataset.id, document_id)
# 404 if document not found
if document is None:
raise NotFound("Document Not Exists.")
# 403 if document is archived
if DocumentService.check_archived(document):
raise ArchivedDocumentImmutableError()
# 400 if document is completed
if document.indexing_status == 'completed':
raise DocumentAlreadyFinishedError()
retry_documents.append(document)
except Exception as e:
logging.error(f"Document {document_id} retry failed: {str(e)}")
continue
# retry document
DocumentService.retry_document(dataset_id, retry_documents)
return {'result': 'success'}, 204
class DocumentRenameApi(DocumentResource):
@setup_required
@login_required
@account_initialization_required
@marshal_with(document_fields)
def post(self, dataset_id, document_id):
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('name', type=str, required=True, nullable=False, location='json')
args = parser.parse_args()
try:
document = DocumentService.rename_document(dataset_id, document_id, args['name'])
except services.errors.document.DocumentIndexingError:
raise DocumentIndexingError('Cannot delete document during indexing.')
return document
class WebsiteDocumentSyncApi(DocumentResource):
@setup_required
@login_required
@account_initialization_required
def get(self, dataset_id, document_id):
"""sync website document."""
dataset_id = str(dataset_id)
dataset = DatasetService.get_dataset(dataset_id)
if not dataset:
raise NotFound('Dataset not found.')
document_id = str(document_id)
document = DocumentService.get_document(dataset.id, document_id)
if not document:
raise NotFound('Document not found.')
if document.tenant_id != current_user.current_tenant_id:
raise Forbidden('No permission.')
if document.data_source_type != 'website_crawl':
raise ValueError('Document is not a website document.')
# 403 if document is archived
if DocumentService.check_archived(document):
raise ArchivedDocumentImmutableError()
# sync document
DocumentService.sync_website_document(dataset_id, document)
return {'result': 'success'}, 200
api.add_resource(GetProcessRuleApi, '/datasets/process-rule')
api.add_resource(DatasetDocumentListApi,
'/datasets/<uuid:dataset_id>/documents')
@ -1018,8 +908,3 @@ api.add_resource(DocumentStatusApi,
'/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/status/<string:action>')
api.add_resource(DocumentPauseApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/processing/pause')
api.add_resource(DocumentRecoverApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/processing/resume')
api.add_resource(DocumentRetryApi, '/datasets/<uuid:dataset_id>/retry')
api.add_resource(DocumentRenameApi,
'/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/rename')
api.add_resource(WebsiteDocumentSyncApi, '/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/website-sync')

View File

@ -1,5 +1,5 @@
import uuid
from datetime import datetime, timezone
from datetime import datetime
import pandas as pd
from flask import request
@ -12,11 +12,7 @@ from controllers.console import api
from controllers.console.app.error import ProviderNotInitializeError
from controllers.console.datasets.error import InvalidActionError, NoFileUploadedError, TooManyFilesError
from controllers.console.setup import setup_required
from controllers.console.wraps import (
account_initialization_required,
cloud_edition_billing_knowledge_limit_check,
cloud_edition_billing_resource_check,
)
from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
@ -126,8 +122,8 @@ class DatasetDocumentSegmentApi(Resource):
raise NotFound('Dataset not found.')
# check user's model setting
DatasetService.check_dataset_model_setting(dataset)
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
try:
@ -192,7 +188,7 @@ class DatasetDocumentSegmentApi(Resource):
raise InvalidActionError("Segment is already disabled.")
segment.enabled = False
segment.disabled_at = datetime.now(timezone.utc).replace(tzinfo=None)
segment.disabled_at = datetime.utcnow()
segment.disabled_by = current_user.id
db.session.commit()
@ -211,7 +207,6 @@ class DatasetDocumentSegmentAddApi(Resource):
@login_required
@account_initialization_required
@cloud_edition_billing_resource_check('vector_space')
@cloud_edition_billing_knowledge_limit_check('add_segment')
def post(self, dataset_id, document_id):
# check dataset
dataset_id = str(dataset_id)
@ -302,8 +297,8 @@ class DatasetDocumentSegmentUpdateApi(Resource):
).first()
if not segment:
raise NotFound('Segment not found.')
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
# The role of the current user in the ta table must be admin or owner
if not current_user.is_admin_or_owner:
raise Forbidden()
try:
DatasetService.check_dataset_permission(dataset, current_user)
@ -362,7 +357,6 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
@login_required
@account_initialization_required
@cloud_edition_billing_resource_check('vector_space')
@cloud_edition_billing_knowledge_limit_check('add_segment')
def post(self, dataset_id, document_id):
# check dataset
dataset_id = str(dataset_id)

View File

@ -71,15 +71,3 @@ class InvalidMetadataError(BaseHTTPException):
error_code = 'invalid_metadata'
description = "The metadata content is incorrect. Please check and verify."
code = 400
class WebsiteCrawlError(BaseHTTPException):
error_code = 'crawl_failed'
description = "{message}"
code = 500
class DatasetInUseError(BaseHTTPException):
error_code = 'dataset_in_use'
description = "The dataset is being used by some apps. Please remove the dataset from the apps before deleting it."
code = 409

View File

@ -12,7 +12,7 @@ from controllers.console.app.error import (
ProviderNotInitializeError,
ProviderQuotaExceededError,
)
from controllers.console.datasets.error import DatasetNotInitializedError
from controllers.console.datasets.error import DatasetNotInitializedError, HighQualityDatasetOnlyError
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.errors.error import (
@ -45,6 +45,10 @@ class HitTestingApi(Resource):
except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e))
# only high quality dataset can be used for hit testing
if dataset.indexing_technique != 'high_quality':
raise HighQualityDatasetOnlyError()
parser = reqparse.RequestParser()
parser.add_argument('query', type=str, location='json')
parser.add_argument('retrieval_model', type=dict, required=False, location='json')

View File

@ -1,49 +0,0 @@
from flask_restful import Resource, reqparse
from controllers.console import api
from controllers.console.datasets.error import WebsiteCrawlError
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from libs.login import login_required
from services.website_service import WebsiteService
class WebsiteCrawlApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
parser = reqparse.RequestParser()
parser.add_argument('provider', type=str, choices=['firecrawl'],
required=True, nullable=True, location='json')
parser.add_argument('url', type=str, required=True, nullable=True, location='json')
parser.add_argument('options', type=dict, required=True, nullable=True, location='json')
args = parser.parse_args()
WebsiteService.document_create_args_validate(args)
# crawl url
try:
result = WebsiteService.crawl_url(args)
except Exception as e:
raise WebsiteCrawlError(str(e))
return result, 200
class WebsiteCrawlStatusApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, job_id: str):
parser = reqparse.RequestParser()
parser.add_argument('provider', type=str, choices=['firecrawl'], required=True, location='args')
args = parser.parse_args()
# get crawl status
try:
result = WebsiteService.get_crawl_status(job_id, args['provider'])
except Exception as e:
raise WebsiteCrawlError(str(e))
return result, 200
api.add_resource(WebsiteCrawlApi, '/website/crawl')
api.add_resource(WebsiteCrawlStatusApi, '/website/crawl/status/<string:job_id>')

View File

@ -19,6 +19,7 @@ from controllers.console.app.error import (
from controllers.console.explore.wraps import InstalledAppResource
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from models.model import AppModelConfig
from services.audio_service import AudioService
from services.errors.audio import (
AudioTooLargeServiceError,
@ -31,12 +32,16 @@ from services.errors.audio import (
class ChatAudioApi(InstalledAppResource):
def post(self, installed_app):
app_model = installed_app.app
app_model_config: AppModelConfig = app_model.app_model_config
if not app_model_config.speech_to_text_dict['enabled']:
raise AppUnavailableError()
file = request.files['file']
try:
response = AudioService.transcript_asr(
app_model=app_model,
tenant_id=app_model.tenant_id,
file=file,
end_user=None
)
@ -71,12 +76,16 @@ class ChatAudioApi(InstalledAppResource):
class ChatTextApi(InstalledAppResource):
def post(self, installed_app):
app_model = installed_app.app
app_model_config: AppModelConfig = app_model.app_model_config
if not app_model_config.text_to_speech_dict['enabled']:
raise AppUnavailableError()
try:
response = AudioService.transcript_tts(
app_model=app_model,
tenant_id=app_model.tenant_id,
text=request.form['text'],
voice=request.form['voice'] if request.form.get('voice') else app_model.app_model_config.text_to_speech_dict.get('voice'),
voice=request.form['voice'] if request.form['voice'] else app_model.app_model_config.text_to_speech_dict.get('voice'),
streaming=False
)
return {'data': response.data.decode('latin1')}

View File

@ -1,6 +1,10 @@
import json
import logging
from datetime import datetime, timezone
from collections.abc import Generator
from datetime import datetime
from typing import Union
from flask import Response, stream_with_context
from flask_login import current_user
from flask_restful import reqparse
from werkzeug.exceptions import InternalServerError, NotFound
@ -17,15 +21,13 @@ from controllers.console.app.error import (
)
from controllers.console.explore.error import NotChatAppError, NotCompletionAppError
from controllers.console.explore.wraps import InstalledAppResource
from core.app.apps.base_app_queue_manager import AppQueueManager
from core.app.entities.app_invoke_entities import InvokeFrom
from core.application_queue_manager import ApplicationQueueManager
from core.entities.application_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from extensions.ext_database import db
from libs import helper
from libs.helper import uuid_value
from models.model import AppMode
from services.app_generate_service import AppGenerateService
from services.completion_service import CompletionService
# define completion api for user
@ -47,11 +49,11 @@ class CompletionApi(InstalledAppResource):
streaming = args['response_mode'] == 'streaming'
args['auto_generate_name'] = False
installed_app.last_used_at = datetime.now(timezone.utc).replace(tzinfo=None)
installed_app.last_used_at = datetime.utcnow()
db.session.commit()
try:
response = AppGenerateService.generate(
response = CompletionService.completion(
app_model=app_model,
user=current_user,
args=args,
@ -59,7 +61,7 @@ class CompletionApi(InstalledAppResource):
streaming=streaming
)
return helper.compact_generate_response(response)
return compact_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except services.errors.conversation.ConversationCompletedError:
@ -88,7 +90,7 @@ class CompletionStopApi(InstalledAppResource):
if app_model.mode != 'completion':
raise NotCompletionAppError()
AppQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
return {'result': 'success'}, 200
@ -96,33 +98,34 @@ class CompletionStopApi(InstalledAppResource):
class ChatApi(InstalledAppResource):
def post(self, installed_app):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
if app_model.mode != 'chat':
raise NotChatAppError()
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, required=True, location='json')
parser.add_argument('query', type=str, required=True, location='json')
parser.add_argument('files', type=list, required=False, location='json')
parser.add_argument('response_mode', type=str, choices=['blocking', 'streaming'], location='json')
parser.add_argument('conversation_id', type=uuid_value, location='json')
parser.add_argument('retriever_from', type=str, required=False, default='explore_app', location='json')
args = parser.parse_args()
streaming = args['response_mode'] == 'streaming'
args['auto_generate_name'] = False
installed_app.last_used_at = datetime.now(timezone.utc).replace(tzinfo=None)
installed_app.last_used_at = datetime.utcnow()
db.session.commit()
try:
response = AppGenerateService.generate(
response = CompletionService.completion(
app_model=app_model,
user=current_user,
args=args,
invoke_from=InvokeFrom.EXPLORE,
streaming=True
streaming=streaming
)
return helper.compact_generate_response(response)
return compact_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except services.errors.conversation.ConversationCompletedError:
@ -148,15 +151,25 @@ class ChatApi(InstalledAppResource):
class ChatStopApi(InstalledAppResource):
def post(self, installed_app, task_id):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
if app_model.mode != 'chat':
raise NotChatAppError()
AppQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
ApplicationQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
return {'result': 'success'}, 200
def compact_response(response: Union[dict, Generator]) -> Response:
if isinstance(response, dict):
return Response(response=json.dumps(response), status=200, mimetype='application/json')
else:
def generate() -> Generator:
yield from response
return Response(stream_with_context(generate()), status=200,
mimetype='text/event-stream')
api.add_resource(CompletionApi, '/installed-apps/<uuid:installed_app_id>/completion-messages', endpoint='installed_app_completion')
api.add_resource(CompletionStopApi, '/installed-apps/<uuid:installed_app_id>/completion-messages/<string:task_id>/stop', endpoint='installed_app_stop_completion')
api.add_resource(ChatApi, '/installed-apps/<uuid:installed_app_id>/chat-messages', endpoint='installed_app_chat_completion')

View File

@ -6,10 +6,8 @@ from werkzeug.exceptions import NotFound
from controllers.console import api
from controllers.console.explore.error import NotChatAppError
from controllers.console.explore.wraps import InstalledAppResource
from core.app.entities.app_invoke_entities import InvokeFrom
from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
from libs.helper import uuid_value
from models.model import AppMode
from services.conversation_service import ConversationService
from services.errors.conversation import ConversationNotExistsError, LastConversationNotExistsError
from services.web_conversation_service import WebConversationService
@ -20,8 +18,7 @@ class ConversationListApi(InstalledAppResource):
@marshal_with(conversation_infinite_scroll_pagination_fields)
def get(self, installed_app):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
if app_model.mode != 'chat':
raise NotChatAppError()
parser = reqparse.RequestParser()
@ -40,8 +37,8 @@ class ConversationListApi(InstalledAppResource):
user=current_user,
last_id=args['last_id'],
limit=args['limit'],
invoke_from=InvokeFrom.EXPLORE,
pinned=pinned,
exclude_debug_conversation=True
)
except LastConversationNotExistsError:
raise NotFound("Last Conversation Not Exists.")
@ -50,8 +47,7 @@ class ConversationListApi(InstalledAppResource):
class ConversationApi(InstalledAppResource):
def delete(self, installed_app, c_id):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
if app_model.mode != 'chat':
raise NotChatAppError()
conversation_id = str(c_id)
@ -69,8 +65,7 @@ class ConversationRenameApi(InstalledAppResource):
@marshal_with(simple_conversation_fields)
def post(self, installed_app, c_id):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
if app_model.mode != 'chat':
raise NotChatAppError()
conversation_id = str(c_id)
@ -96,8 +91,7 @@ class ConversationPinApi(InstalledAppResource):
def patch(self, installed_app, c_id):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
if app_model.mode != 'chat':
raise NotChatAppError()
conversation_id = str(c_id)
@ -113,8 +107,7 @@ class ConversationPinApi(InstalledAppResource):
class ConversationUnPinApi(InstalledAppResource):
def patch(self, installed_app, c_id):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
if app_model.mode != 'chat':
raise NotChatAppError()
conversation_id = str(c_id)

View File

@ -9,13 +9,7 @@ class NotCompletionAppError(BaseHTTPException):
class NotChatAppError(BaseHTTPException):
error_code = 'not_chat_app'
description = "App mode is invalid."
code = 400
class NotWorkflowAppError(BaseHTTPException):
error_code = 'not_workflow_app'
description = "Only support workflow app."
description = "Not Chat App"
code = 400

View File

@ -1,4 +1,4 @@
from datetime import datetime, timezone
from datetime import datetime
from flask_login import current_user
from flask_restful import Resource, inputs, marshal_with, reqparse
@ -34,7 +34,8 @@ class InstalledAppsListApi(Resource):
'is_pinned': installed_app.is_pinned,
'last_used_at': installed_app.last_used_at,
'editable': current_user.role in ["owner", "admin"],
'uninstallable': current_tenant_id == installed_app.app_owner_tenant_id
'uninstallable': current_tenant_id == installed_app.app_owner_tenant_id,
'is_agent': installed_app.is_agent
}
for installed_app in installed_apps
]
@ -81,7 +82,7 @@ class InstalledAppsListApi(Resource):
tenant_id=current_tenant_id,
app_owner_tenant_id=app.tenant_id,
is_pinned=False,
last_used_at=datetime.now(timezone.utc).replace(tzinfo=None)
last_used_at=datetime.utcnow()
)
db.session.add(new_installed_app)
db.session.commit()

View File

@ -1,5 +1,9 @@
import json
import logging
from collections.abc import Generator
from typing import Union
from flask import Response, stream_with_context
from flask_login import current_user
from flask_restful import marshal_with, reqparse
from flask_restful.inputs import int_range
@ -20,14 +24,12 @@ from controllers.console.explore.error import (
NotCompletionAppError,
)
from controllers.console.explore.wraps import InstalledAppResource
from core.app.entities.app_invoke_entities import InvokeFrom
from core.entities.application_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from fields.message_fields import message_infinite_scroll_pagination_fields
from libs import helper
from libs.helper import uuid_value
from models.model import AppMode
from services.app_generate_service import AppGenerateService
from services.completion_service import CompletionService
from services.errors.app import MoreLikeThisDisabledError
from services.errors.conversation import ConversationNotExistsError
from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
@ -39,8 +41,7 @@ class MessageListApi(InstalledAppResource):
def get(self, installed_app):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
if app_model.mode != 'chat':
raise NotChatAppError()
parser = reqparse.RequestParser()
@ -90,14 +91,14 @@ class MessageMoreLikeThisApi(InstalledAppResource):
streaming = args['response_mode'] == 'streaming'
try:
response = AppGenerateService.generate_more_like_this(
response = CompletionService.generate_more_like_this(
app_model=app_model,
user=current_user,
message_id=message_id,
invoke_from=InvokeFrom.EXPLORE,
streaming=streaming
)
return helper.compact_generate_response(response)
return compact_response(response)
except MessageNotExistsError:
raise NotFound("Message Not Exists.")
except MoreLikeThisDisabledError:
@ -117,12 +118,22 @@ class MessageMoreLikeThisApi(InstalledAppResource):
raise InternalServerError()
def compact_response(response: Union[dict, Generator]) -> Response:
if isinstance(response, dict):
return Response(response=json.dumps(response), status=200, mimetype='application/json')
else:
def generate() -> Generator:
yield from response
return Response(stream_with_context(generate()), status=200,
mimetype='text/event-stream')
class MessageSuggestedQuestionApi(InstalledAppResource):
def get(self, installed_app, message_id):
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT]:
raise NotChatAppError()
if app_model.mode != 'chat':
raise NotCompletionAppError()
message_id = str(message_id)
@ -130,8 +141,7 @@ class MessageSuggestedQuestionApi(InstalledAppResource):
questions = MessageService.get_suggested_questions_after_answer(
app_model=app_model,
user=current_user,
message_id=message_id,
invoke_from=InvokeFrom.EXPLORE
message_id=message_id
)
except MessageNotExistsError:
raise NotFound("Message not found")

View File

@ -1,12 +1,13 @@
import json
from flask import current_app
from flask_restful import fields, marshal_with
from controllers.console import api
from controllers.console.app.error import AppUnavailableError
from controllers.console.explore.wraps import InstalledAppResource
from models.model import AppMode, InstalledApp
from services.app_service import AppService
from extensions.ext_database import db
from models.model import AppModelConfig, InstalledApp
from models.tools import ApiToolProvider
class AppParameterApi(InstalledAppResource):
@ -44,52 +45,61 @@ class AppParameterApi(InstalledAppResource):
def get(self, installed_app: InstalledApp):
"""Retrieve app parameters."""
app_model = installed_app.app
if app_model.mode in [AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value]:
workflow = app_model.workflow
if workflow is None:
raise AppUnavailableError()
features_dict = workflow.features_dict
user_input_form = workflow.user_input_form(to_old_structure=True)
else:
app_model_config = app_model.app_model_config
features_dict = app_model_config.to_dict()
user_input_form = features_dict.get('user_input_form', [])
app_model_config = app_model.app_model_config
return {
'opening_statement': features_dict.get('opening_statement'),
'suggested_questions': features_dict.get('suggested_questions', []),
'suggested_questions_after_answer': features_dict.get('suggested_questions_after_answer',
{"enabled": False}),
'speech_to_text': features_dict.get('speech_to_text', {"enabled": False}),
'text_to_speech': features_dict.get('text_to_speech', {"enabled": False}),
'retriever_resource': features_dict.get('retriever_resource', {"enabled": False}),
'annotation_reply': features_dict.get('annotation_reply', {"enabled": False}),
'more_like_this': features_dict.get('more_like_this', {"enabled": False}),
'user_input_form': user_input_form,
'sensitive_word_avoidance': features_dict.get('sensitive_word_avoidance',
{"enabled": False, "type": "", "configs": []}),
'file_upload': features_dict.get('file_upload', {"image": {
"enabled": False,
"number_limits": 3,
"detail": "high",
"transfer_methods": ["remote_url", "local_file"]
}}),
'opening_statement': app_model_config.opening_statement,
'suggested_questions': app_model_config.suggested_questions_list,
'suggested_questions_after_answer': app_model_config.suggested_questions_after_answer_dict,
'speech_to_text': app_model_config.speech_to_text_dict,
'text_to_speech': app_model_config.text_to_speech_dict,
'retriever_resource': app_model_config.retriever_resource_dict,
'annotation_reply': app_model_config.annotation_reply_dict,
'more_like_this': app_model_config.more_like_this_dict,
'user_input_form': app_model_config.user_input_form_list,
'sensitive_word_avoidance': app_model_config.sensitive_word_avoidance_dict,
'file_upload': app_model_config.file_upload_dict,
'system_parameters': {
'image_file_size_limit': current_app.config.get('UPLOAD_IMAGE_FILE_SIZE_LIMIT')
}
}
class ExploreAppMetaApi(InstalledAppResource):
def get(self, installed_app: InstalledApp):
"""Get app meta"""
app_model = installed_app.app
return AppService().get_app_meta(app_model)
app_model_config: AppModelConfig = installed_app.app.app_model_config
agent_config = app_model_config.agent_mode_dict or {}
meta = {
'tool_icons': {}
}
api.add_resource(AppParameterApi, '/installed-apps/<uuid:installed_app_id>/parameters',
endpoint='installed_app_parameters')
# get all tools
tools = agent_config.get('tools', [])
url_prefix = (current_app.config.get("CONSOLE_API_URL")
+ "/console/api/workspaces/current/tool-provider/builtin/")
for tool in tools:
keys = list(tool.keys())
if len(keys) >= 4:
# current tool standard
provider_type = tool.get('provider_type')
provider_id = tool.get('provider_id')
tool_name = tool.get('tool_name')
if provider_type == 'builtin':
meta['tool_icons'][tool_name] = url_prefix + provider_id + '/icon'
elif provider_type == 'api':
try:
provider: ApiToolProvider = db.session.query(ApiToolProvider).filter(
ApiToolProvider.id == provider_id
)
meta['tool_icons'][tool_name] = json.loads(provider.icon)
except:
meta['tool_icons'][tool_name] = {
"background": "#252525",
"content": "\ud83d\ude01"
}
return meta
api.add_resource(AppParameterApi, '/installed-apps/<uuid:installed_app_id>/parameters', endpoint='installed_app_parameters')
api.add_resource(ExploreAppMetaApi, '/installed-apps/<uuid:installed_app_id>/meta', endpoint='installed_app_meta')

View File

@ -1,11 +1,15 @@
from flask_login import current_user
from flask_restful import Resource, fields, marshal_with, reqparse
from flask_restful import Resource, fields, marshal_with
from sqlalchemy import and_
from constants.languages import languages
from controllers.console import api
from controllers.console.app.error import AppNotFoundError
from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from libs.login import login_required
from services.recommended_app_service import RecommendedAppService
from models.model import App, InstalledApp, RecommendedApp
from services.account_service import TenantService
app_fields = {
'id': fields.String,
@ -21,10 +25,13 @@ recommended_app_fields = {
'description': fields.String(attribute='description'),
'copyright': fields.String,
'privacy_policy': fields.String,
'custom_disclaimer': fields.String,
'category': fields.String,
'position': fields.Integer,
'is_listed': fields.Boolean
'is_listed': fields.Boolean,
'install_count': fields.Integer,
'installed': fields.Boolean,
'editable': fields.Boolean,
'is_agent': fields.Boolean
}
recommended_app_list_fields = {
@ -38,27 +45,96 @@ class RecommendedAppListApi(Resource):
@account_initialization_required
@marshal_with(recommended_app_list_fields)
def get(self):
# language args
parser = reqparse.RequestParser()
parser.add_argument('language', type=str, location='args')
args = parser.parse_args()
language_prefix = current_user.interface_language if current_user.interface_language else languages[0]
if args.get('language') and args.get('language') in languages:
language_prefix = args.get('language')
elif current_user and current_user.interface_language:
language_prefix = current_user.interface_language
else:
language_prefix = languages[0]
recommended_apps = db.session.query(RecommendedApp).filter(
RecommendedApp.is_listed == True,
RecommendedApp.language == language_prefix
).all()
return RecommendedAppService.get_recommended_apps_and_categories(language_prefix)
categories = set()
current_user.role = TenantService.get_user_role(current_user, current_user.current_tenant)
recommended_apps_result = []
for recommended_app in recommended_apps:
installed = db.session.query(InstalledApp).filter(
and_(
InstalledApp.app_id == recommended_app.app_id,
InstalledApp.tenant_id == current_user.current_tenant_id
)
).first() is not None
app = recommended_app.app
if not app or not app.is_public:
continue
site = app.site
if not site:
continue
recommended_app_result = {
'id': recommended_app.id,
'app': app,
'app_id': recommended_app.app_id,
'description': site.description,
'copyright': site.copyright,
'privacy_policy': site.privacy_policy,
'category': recommended_app.category,
'position': recommended_app.position,
'is_listed': recommended_app.is_listed,
'install_count': recommended_app.install_count,
'installed': installed,
'editable': current_user.role in ['owner', 'admin'],
"is_agent": app.is_agent
}
recommended_apps_result.append(recommended_app_result)
categories.add(recommended_app.category) # add category to categories
return {'recommended_apps': recommended_apps_result, 'categories': list(categories)}
class RecommendedAppApi(Resource):
model_config_fields = {
'opening_statement': fields.String,
'suggested_questions': fields.Raw(attribute='suggested_questions_list'),
'suggested_questions_after_answer': fields.Raw(attribute='suggested_questions_after_answer_dict'),
'more_like_this': fields.Raw(attribute='more_like_this_dict'),
'model': fields.Raw(attribute='model_dict'),
'user_input_form': fields.Raw(attribute='user_input_form_list'),
'pre_prompt': fields.String,
'agent_mode': fields.Raw(attribute='agent_mode_dict'),
}
app_simple_detail_fields = {
'id': fields.String,
'name': fields.String,
'icon': fields.String,
'icon_background': fields.String,
'mode': fields.String,
'app_model_config': fields.Nested(model_config_fields),
}
@login_required
@account_initialization_required
@marshal_with(app_simple_detail_fields)
def get(self, app_id):
app_id = str(app_id)
return RecommendedAppService.get_recommend_app_detail(app_id)
# is in public recommended list
recommended_app = db.session.query(RecommendedApp).filter(
RecommendedApp.is_listed == True,
RecommendedApp.app_id == app_id
).first()
if not recommended_app:
raise AppNotFoundError
# get app detail
app = db.session.query(App).filter(App.id == app_id).first()
if not app or not app.is_public:
raise AppNotFoundError
return app
api.add_resource(RecommendedAppListApi, '/explore/apps')

View File

@ -1,85 +0,0 @@
import logging
from flask_restful import reqparse
from werkzeug.exceptions import InternalServerError
from controllers.console import api
from controllers.console.app.error import (
CompletionRequestError,
ProviderModelCurrentlyNotSupportError,
ProviderNotInitializeError,
ProviderQuotaExceededError,
)
from controllers.console.explore.error import NotWorkflowAppError
from controllers.console.explore.wraps import InstalledAppResource
from core.app.apps.base_app_queue_manager import AppQueueManager
from core.app.entities.app_invoke_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from libs import helper
from libs.login import current_user
from models.model import AppMode, InstalledApp
from services.app_generate_service import AppGenerateService
logger = logging.getLogger(__name__)
class InstalledAppWorkflowRunApi(InstalledAppResource):
def post(self, installed_app: InstalledApp):
"""
Run workflow
"""
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode != AppMode.WORKFLOW:
raise NotWorkflowAppError()
parser = reqparse.RequestParser()
parser.add_argument('inputs', type=dict, required=True, nullable=False, location='json')
parser.add_argument('files', type=list, required=False, location='json')
args = parser.parse_args()
try:
response = AppGenerateService.generate(
app_model=app_model,
user=current_user,
args=args,
invoke_from=InvokeFrom.EXPLORE,
streaming=True
)
return helper.compact_generate_response(response)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except InvokeError as e:
raise CompletionRequestError(e.description)
except ValueError as e:
raise e
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
class InstalledAppWorkflowTaskStopApi(InstalledAppResource):
def post(self, installed_app: InstalledApp, task_id: str):
"""
Stop workflow task
"""
app_model = installed_app.app
app_mode = AppMode.value_of(app_model.mode)
if app_mode != AppMode.WORKFLOW:
raise NotWorkflowAppError()
AppQueueManager.set_stop_flag(task_id, InvokeFrom.EXPLORE, current_user.id)
return {
"result": "success"
}
api.add_resource(InstalledAppWorkflowRunApi, '/installed-apps/<uuid:installed_app_id>/workflows/run')
api.add_resource(InstalledAppWorkflowTaskStopApi, '/installed-apps/<uuid:installed_app_id>/workflows/tasks/<string:task_id>/stop')

View File

@ -1,28 +1,17 @@
from flask_login import current_user
from flask_restful import Resource
from libs.login import login_required
from services.feature_service import FeatureService
from . import api
from .setup import setup_required
from .wraps import account_initialization_required, cloud_utm_record
from .wraps import cloud_utm_record
class FeatureApi(Resource):
@setup_required
@login_required
@account_initialization_required
@cloud_utm_record
def get(self):
return FeatureService.get_features(current_user.current_tenant_id).model_dump()
class SystemFeatureApi(Resource):
def get(self):
return FeatureService.get_system_features().model_dump()
return FeatureService.get_features(current_user.current_tenant_id).dict()
api.add_resource(FeatureApi, '/features')
api.add_resource(SystemFeatureApi, '/system-features')

View File

@ -1,17 +0,0 @@
from flask_restful import Resource
from controllers.console import api
class PingApi(Resource):
def get(self):
"""
For connection health check
"""
return {
"result": "pong"
}
api.add_resource(PingApi, '/ping')

View File

@ -58,8 +58,6 @@ class SetupApi(Resource):
password=args['password']
)
TenantService.create_owner_tenant_if_not_exist(account)
setup()
AccountService.update_last_login(account, request)

View File

@ -1,159 +0,0 @@
from flask import request
from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse
from werkzeug.exceptions import Forbidden
from controllers.console import api
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from fields.tag_fields import tag_fields
from libs.login import login_required
from models.model import Tag
from services.tag_service import TagService
def _validate_name(name):
if not name or len(name) < 1 or len(name) > 40:
raise ValueError('Name must be between 1 to 50 characters.')
return name
class TagListApi(Resource):
@setup_required
@login_required
@account_initialization_required
@marshal_with(tag_fields)
def get(self):
tag_type = request.args.get('type', type=str)
keyword = request.args.get('keyword', default=None, type=str)
tags = TagService.get_tags(tag_type, current_user.current_tenant_id, keyword)
return tags, 200
@setup_required
@login_required
@account_initialization_required
def post(self):
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('name', nullable=False, required=True,
help='Name must be between 1 to 50 characters.',
type=_validate_name)
parser.add_argument('type', type=str, location='json',
choices=Tag.TAG_TYPE_LIST,
nullable=True,
help='Invalid tag type.')
args = parser.parse_args()
tag = TagService.save_tags(args)
response = {
'id': tag.id,
'name': tag.name,
'type': tag.type,
'binding_count': 0
}
return response, 200
class TagUpdateDeleteApi(Resource):
@setup_required
@login_required
@account_initialization_required
def patch(self, tag_id):
tag_id = str(tag_id)
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('name', nullable=False, required=True,
help='Name must be between 1 to 50 characters.',
type=_validate_name)
args = parser.parse_args()
tag = TagService.update_tags(args, tag_id)
binding_count = TagService.get_tag_binding_count(tag_id)
response = {
'id': tag.id,
'name': tag.name,
'type': tag.type,
'binding_count': binding_count
}
return response, 200
@setup_required
@login_required
@account_initialization_required
def delete(self, tag_id):
tag_id = str(tag_id)
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
TagService.delete_tag(tag_id)
return 200
class TagBindingCreateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('tag_ids', type=list, nullable=False, required=True, location='json',
help='Tag IDs is required.')
parser.add_argument('target_id', type=str, nullable=False, required=True, location='json',
help='Target ID is required.')
parser.add_argument('type', type=str, location='json',
choices=Tag.TAG_TYPE_LIST,
nullable=True,
help='Invalid tag type.')
args = parser.parse_args()
TagService.save_tag_binding(args)
return 200
class TagBindingDeleteApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
# The role of the current user in the ta table must be admin, owner, or editor
if not current_user.is_editor:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('tag_id', type=str, nullable=False, required=True,
help='Tag ID is required.')
parser.add_argument('target_id', type=str, nullable=False, required=True,
help='Target ID is required.')
parser.add_argument('type', type=str, location='json',
choices=Tag.TAG_TYPE_LIST,
nullable=True,
help='Invalid tag type.')
args = parser.parse_args()
TagService.delete_tag_binding(args)
return 200
api.add_resource(TagListApi, '/tags')
api.add_resource(TagUpdateDeleteApi, '/tags/<uuid:tag_id>')
api.add_resource(TagBindingCreateApi, '/tag-bindings/create')
api.add_resource(TagBindingDeleteApi, '/tag-bindings/remove')

View File

@ -17,19 +17,13 @@ class VersionApi(Resource):
args = parser.parse_args()
check_update_url = current_app.config['CHECK_UPDATE_URL']
result = {
'version': current_app.config['CURRENT_VERSION'],
'release_date': '',
'release_notes': '',
'can_auto_update': False,
'features': {
'can_replace_logo': current_app.config['CAN_REPLACE_LOGO'],
'model_load_balancing_enabled': current_app.config['MODEL_LB_ENABLED']
}
}
if not check_update_url:
return result
return {
'version': '0.0.0',
'release_date': '',
'release_notes': '',
'can_auto_update': False
}
try:
response = requests.get(check_update_url, {
@ -37,15 +31,20 @@ class VersionApi(Resource):
})
except Exception as error:
logging.warning("Check update version error: {}.".format(str(error)))
result['version'] = args.get('current_version')
return result
return {
'version': args.get('current_version'),
'release_date': '',
'release_notes': '',
'can_auto_update': False
}
content = json.loads(response.content)
result['version'] = content['version']
result['release_date'] = content['releaseDate']
result['release_notes'] = content['releaseNotes']
result['can_auto_update'] = content['canAutoUpdate']
return result
return {
'version': content['version'],
'release_date': content['releaseDate'],
'release_notes': content['releaseNotes'],
'can_auto_update': content['canAutoUpdate']
}
api.add_resource(VersionApi, '/version')

View File

@ -1,4 +1,4 @@
import datetime
from datetime import datetime
import pytz
from flask import current_app, request
@ -16,13 +16,26 @@ from controllers.console.workspace.error import (
)
from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from fields.member_fields import account_fields
from libs.helper import TimestampField, timezone
from libs.login import login_required
from models.account import AccountIntegrate, InvitationCode
from services.account_service import AccountService
from services.errors.account import CurrentPasswordIncorrectError as ServiceCurrentPasswordIncorrectError
account_fields = {
'id': fields.String,
'name': fields.String,
'avatar': fields.String,
'email': fields.String,
'is_password_set': fields.Boolean,
'interface_language': fields.String,
'interface_theme': fields.String,
'timezone': fields.String,
'last_login_at': TimestampField,
'last_login_ip': fields.String,
'created_at': TimestampField
}
class AccountInitApi(Resource):
@ -59,7 +72,7 @@ class AccountInitApi(Resource):
raise InvalidInvitationCodeError()
invitation_code.status = 'used'
invitation_code.used_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
invitation_code.used_at = datetime.utcnow()
invitation_code.used_by_tenant_id = account.current_tenant_id
invitation_code.used_by_account_id = account.id
@ -67,7 +80,7 @@ class AccountInitApi(Resource):
account.timezone = args['timezone']
account.interface_theme = 'light'
account.status = 'active'
account.initialized_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
account.initialized_at = datetime.utcnow()
db.session.commit()
return {'result': 'success'}

View File

@ -1,106 +0,0 @@
from flask_restful import Resource, reqparse
from werkzeug.exceptions import Forbidden
from controllers.console import api
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.model_runtime.entities.model_entities import ModelType
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from libs.login import current_user, login_required
from models.account import TenantAccountRole
from services.model_load_balancing_service import ModelLoadBalancingService
class LoadBalancingCredentialsValidateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self, provider: str):
if not TenantAccountRole.is_privileged_role(current_user.current_tenant.current_role):
raise Forbidden()
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument('model', type=str, required=True, nullable=False, location='json')
parser.add_argument('model_type', type=str, required=True, nullable=False,
choices=[mt.value for mt in ModelType], location='json')
parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
args = parser.parse_args()
# validate model load balancing credentials
model_load_balancing_service = ModelLoadBalancingService()
result = True
error = None
try:
model_load_balancing_service.validate_load_balancing_credentials(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type'],
credentials=args['credentials']
)
except CredentialsValidateFailedError as ex:
result = False
error = str(ex)
response = {'result': 'success' if result else 'error'}
if not result:
response['error'] = error
return response
class LoadBalancingConfigCredentialsValidateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self, provider: str, config_id: str):
if not TenantAccountRole.is_privileged_role(current_user.current_tenant.current_role):
raise Forbidden()
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument('model', type=str, required=True, nullable=False, location='json')
parser.add_argument('model_type', type=str, required=True, nullable=False,
choices=[mt.value for mt in ModelType], location='json')
parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
args = parser.parse_args()
# validate model load balancing config credentials
model_load_balancing_service = ModelLoadBalancingService()
result = True
error = None
try:
model_load_balancing_service.validate_load_balancing_credentials(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type'],
credentials=args['credentials'],
config_id=config_id,
)
except CredentialsValidateFailedError as ex:
result = False
error = str(ex)
response = {'result': 'success' if result else 'error'}
if not result:
response['error'] = error
return response
# Load Balancing Config
api.add_resource(LoadBalancingCredentialsValidateApi,
'/workspaces/current/model-providers/<string:provider>/models/load-balancing-configs/credentials-validate')
api.add_resource(LoadBalancingConfigCredentialsValidateApi,
'/workspaces/current/model-providers/<string:provider>/models/load-balancing-configs/<string:config_id>/credentials-validate')

View File

@ -1,18 +1,33 @@
from flask import current_app
from flask_login import current_user
from flask_restful import Resource, abort, marshal_with, reqparse
from flask_restful import Resource, abort, fields, marshal_with, reqparse
import services
from controllers.console import api
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
from extensions.ext_database import db
from fields.member_fields import account_with_role_list_fields
from libs.helper import TimestampField
from libs.login import login_required
from models.account import Account, TenantAccountRole
from models.account import Account
from services.account_service import RegisterService, TenantService
from services.errors.account import AccountAlreadyInTenantError
account_fields = {
'id': fields.String,
'name': fields.String,
'avatar': fields.String,
'email': fields.String,
'last_login_at': TimestampField,
'created_at': TimestampField,
'role': fields.String,
'status': fields.String,
}
account_list_fields = {
'accounts': fields.List(fields.Nested(account_fields))
}
class MemberListApi(Resource):
"""List all members of current tenant."""
@ -20,7 +35,7 @@ class MemberListApi(Resource):
@setup_required
@login_required
@account_initialization_required
@marshal_with(account_with_role_list_fields)
@marshal_with(account_list_fields)
def get(self):
members = TenantService.get_tenant_members(current_user.current_tenant)
return {'result': 'success', 'accounts': members}, 200
@ -43,7 +58,7 @@ class MemberInviteEmailApi(Resource):
invitee_emails = args['emails']
invitee_role = args['role']
interface_language = args['language']
if not TenantAccountRole.is_non_owner_role(invitee_role):
if invitee_role not in ['admin', 'normal']:
return {'code': 'invalid-role', 'message': 'Invalid role'}, 400
inviter = current_user
@ -114,7 +129,7 @@ class MemberUpdateRoleApi(Resource):
args = parser.parse_args()
new_role = args['role']
if not TenantAccountRole.is_valid_role(new_role):
if new_role not in ['admin', 'normal', 'owner']:
return {'code': 'invalid-role', 'message': 'Invalid role'}, 400
member = Account.query.get(str(member_id))

View File

@ -11,7 +11,6 @@ from core.model_runtime.entities.model_entities import ModelType
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.utils.encoders import jsonable_encoder
from libs.login import login_required
from services.model_load_balancing_service import ModelLoadBalancingService
from services.model_provider_service import ModelProviderService
@ -42,9 +41,6 @@ class DefaultModelApi(Resource):
@login_required
@account_initialization_required
def post(self):
if not current_user.is_admin_or_owner:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument('model_settings', type=list, required=True, nullable=False, location='json')
args = parser.parse_args()
@ -98,7 +94,7 @@ class ModelProviderModelApi(Resource):
@login_required
@account_initialization_required
def post(self, provider: str):
if not current_user.is_admin_or_owner:
if current_user.current_tenant.current_role not in ['admin', 'owner']:
raise Forbidden()
tenant_id = current_user.current_tenant_id
@ -107,56 +103,21 @@ class ModelProviderModelApi(Resource):
parser.add_argument('model', type=str, required=True, nullable=False, location='json')
parser.add_argument('model_type', type=str, required=True, nullable=False,
choices=[mt.value for mt in ModelType], location='json')
parser.add_argument('credentials', type=dict, required=False, nullable=True, location='json')
parser.add_argument('load_balancing', type=dict, required=False, nullable=True, location='json')
parser.add_argument('config_from', type=str, required=False, nullable=True, location='json')
parser.add_argument('credentials', type=dict, required=True, nullable=False, location='json')
args = parser.parse_args()
model_load_balancing_service = ModelLoadBalancingService()
model_provider_service = ModelProviderService()
if ('load_balancing' in args and args['load_balancing'] and
'enabled' in args['load_balancing'] and args['load_balancing']['enabled']):
if 'configs' not in args['load_balancing']:
raise ValueError('invalid load balancing configs')
# save load balancing configs
model_load_balancing_service.update_load_balancing_configs(
try:
model_provider_service.save_model_credentials(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type'],
configs=args['load_balancing']['configs']
credentials=args['credentials']
)
# enable load balancing
model_load_balancing_service.enable_model_load_balancing(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type']
)
else:
# disable load balancing
model_load_balancing_service.disable_model_load_balancing(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type']
)
if args.get('config_from', '') != 'predefined-model':
model_provider_service = ModelProviderService()
try:
model_provider_service.save_model_credentials(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type'],
credentials=args['credentials']
)
except CredentialsValidateFailedError as ex:
raise ValueError(str(ex))
except CredentialsValidateFailedError as ex:
raise ValueError(str(ex))
return {'result': 'success'}, 200
@ -164,7 +125,7 @@ class ModelProviderModelApi(Resource):
@login_required
@account_initialization_required
def delete(self, provider: str):
if not current_user.is_admin_or_owner:
if current_user.current_tenant.current_role not in ['admin', 'owner']:
raise Forbidden()
tenant_id = current_user.current_tenant_id
@ -208,73 +169,11 @@ class ModelProviderModelCredentialApi(Resource):
model=args['model']
)
model_load_balancing_service = ModelLoadBalancingService()
is_load_balancing_enabled, load_balancing_configs = model_load_balancing_service.get_load_balancing_configs(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type']
)
return {
"credentials": credentials,
"load_balancing": {
"enabled": is_load_balancing_enabled,
"configs": load_balancing_configs
}
"credentials": credentials
}
class ModelProviderModelEnableApi(Resource):
@setup_required
@login_required
@account_initialization_required
def patch(self, provider: str):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument('model', type=str, required=True, nullable=False, location='json')
parser.add_argument('model_type', type=str, required=True, nullable=False,
choices=[mt.value for mt in ModelType], location='json')
args = parser.parse_args()
model_provider_service = ModelProviderService()
model_provider_service.enable_model(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type']
)
return {'result': 'success'}
class ModelProviderModelDisableApi(Resource):
@setup_required
@login_required
@account_initialization_required
def patch(self, provider: str):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument('model', type=str, required=True, nullable=False, location='json')
parser.add_argument('model_type', type=str, required=True, nullable=False,
choices=[mt.value for mt in ModelType], location='json')
args = parser.parse_args()
model_provider_service = ModelProviderService()
model_provider_service.disable_model(
tenant_id=tenant_id,
provider=provider,
model=args['model'],
model_type=args['model_type']
)
return {'result': 'success'}
class ModelProviderModelValidateApi(Resource):
@setup_required
@ -359,10 +258,6 @@ class ModelProviderAvailableModelApi(Resource):
api.add_resource(ModelProviderModelApi, '/workspaces/current/model-providers/<string:provider>/models')
api.add_resource(ModelProviderModelEnableApi, '/workspaces/current/model-providers/<string:provider>/models/enable',
endpoint='model-provider-model-enable')
api.add_resource(ModelProviderModelDisableApi, '/workspaces/current/model-providers/<string:provider>/models/disable',
endpoint='model-provider-model-disable')
api.add_resource(ModelProviderModelCredentialApi,
'/workspaces/current/model-providers/<string:provider>/models/credentials')
api.add_resource(ModelProviderModelValidateApi,

View File

@ -1,6 +1,6 @@
import io
from flask import current_app, send_file
from flask import send_file
from flask_login import current_user
from flask_restful import Resource, reqparse
from werkzeug.exceptions import Forbidden
@ -8,14 +8,8 @@ from werkzeug.exceptions import Forbidden
from controllers.console import api
from controllers.console.setup import setup_required
from controllers.console.wraps import account_initialization_required
from core.model_runtime.utils.encoders import jsonable_encoder
from libs.helper import alphanumeric, uuid_value
from libs.login import login_required
from services.tools.api_tools_manage_service import ApiToolManageService
from services.tools.builtin_tools_manage_service import BuiltinToolManageService
from services.tools.tool_labels_service import ToolLabelsService
from services.tools.tools_manage_service import ToolCommonService
from services.tools.workflow_tools_manage_service import WorkflowToolManageService
from services.tools_manage_service import ToolManageService
class ToolProviderListApi(Resource):
@ -26,11 +20,7 @@ class ToolProviderListApi(Resource):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
req = reqparse.RequestParser()
req.add_argument('type', type=str, choices=['builtin', 'model', 'api', 'workflow'], required=False, nullable=True, location='args')
args = req.parse_args()
return ToolCommonService.list_tool_providers(user_id, tenant_id, args.get('type', None))
return ToolManageService.list_tool_providers(user_id, tenant_id)
class ToolBuiltinProviderListToolsApi(Resource):
@setup_required
@ -40,11 +30,11 @@ class ToolBuiltinProviderListToolsApi(Resource):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return jsonable_encoder(BuiltinToolManageService.list_builtin_tool_provider_tools(
return ToolManageService.list_builtin_tool_provider_tools(
user_id,
tenant_id,
provider,
))
)
class ToolBuiltinProviderDeleteApi(Resource):
@setup_required
@ -57,7 +47,7 @@ class ToolBuiltinProviderDeleteApi(Resource):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return BuiltinToolManageService.delete_builtin_tool_provider(
return ToolManageService.delete_builtin_tool_provider(
user_id,
tenant_id,
provider,
@ -79,33 +69,19 @@ class ToolBuiltinProviderUpdateApi(Resource):
args = parser.parse_args()
return BuiltinToolManageService.update_builtin_tool_provider(
return ToolManageService.update_builtin_tool_provider(
user_id,
tenant_id,
provider,
args['credentials'],
)
class ToolBuiltinProviderGetCredentialsApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, provider):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return BuiltinToolManageService.get_builtin_tool_provider_credentials(
user_id,
tenant_id,
provider,
)
class ToolBuiltinProviderIconApi(Resource):
@setup_required
def get(self, provider):
icon_bytes, mimetype = BuiltinToolManageService.get_builtin_tool_provider_icon(provider)
icon_cache_max_age = int(current_app.config.get('TOOL_ICON_CACHE_MAX_AGE'))
return send_file(io.BytesIO(icon_bytes), mimetype=mimetype, max_age=icon_cache_max_age)
icon_bytes, minetype = ToolManageService.get_builtin_tool_provider_icon(provider)
return send_file(io.BytesIO(icon_bytes), mimetype=minetype)
class ToolApiProviderAddApi(Resource):
@setup_required
@ -125,12 +101,10 @@ class ToolApiProviderAddApi(Resource):
parser.add_argument('provider', type=str, required=True, nullable=False, location='json')
parser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
parser.add_argument('privacy_policy', type=str, required=False, nullable=True, location='json')
parser.add_argument('labels', type=list[str], required=False, nullable=True, location='json', default=[])
parser.add_argument('custom_disclaimer', type=str, required=False, nullable=True, location='json')
args = parser.parse_args()
return ApiToolManageService.create_api_tool_provider(
return ToolManageService.create_api_tool_provider(
user_id,
tenant_id,
args['provider'],
@ -139,8 +113,6 @@ class ToolApiProviderAddApi(Resource):
args['schema_type'],
args['schema'],
args.get('privacy_policy', ''),
args.get('custom_disclaimer', ''),
args.get('labels', []),
)
class ToolApiProviderGetRemoteSchemaApi(Resource):
@ -154,7 +126,7 @@ class ToolApiProviderGetRemoteSchemaApi(Resource):
args = parser.parse_args()
return ApiToolManageService.get_api_tool_provider_remote_schema(
return ToolManageService.get_api_tool_provider_remote_schema(
current_user.id,
current_user.current_tenant_id,
args['url'],
@ -174,11 +146,11 @@ class ToolApiProviderListToolsApi(Resource):
args = parser.parse_args()
return jsonable_encoder(ApiToolManageService.list_api_tool_provider_tools(
return ToolManageService.list_api_tool_provider_tools(
user_id,
tenant_id,
args['provider'],
))
)
class ToolApiProviderUpdateApi(Resource):
@setup_required
@ -199,12 +171,10 @@ class ToolApiProviderUpdateApi(Resource):
parser.add_argument('original_provider', type=str, required=True, nullable=False, location='json')
parser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
parser.add_argument('privacy_policy', type=str, required=True, nullable=True, location='json')
parser.add_argument('labels', type=list[str], required=False, nullable=True, location='json')
parser.add_argument('custom_disclaimer', type=str, required=True, nullable=True, location='json')
args = parser.parse_args()
return ApiToolManageService.update_api_tool_provider(
return ToolManageService.update_api_tool_provider(
user_id,
tenant_id,
args['provider'],
@ -214,8 +184,6 @@ class ToolApiProviderUpdateApi(Resource):
args['schema_type'],
args['schema'],
args['privacy_policy'],
args['custom_disclaimer'],
args.get('labels', []),
)
class ToolApiProviderDeleteApi(Resource):
@ -235,7 +203,7 @@ class ToolApiProviderDeleteApi(Resource):
args = parser.parse_args()
return ApiToolManageService.delete_api_tool_provider(
return ToolManageService.delete_api_tool_provider(
user_id,
tenant_id,
args['provider'],
@ -255,7 +223,7 @@ class ToolApiProviderGetApi(Resource):
args = parser.parse_args()
return ApiToolManageService.get_api_tool_provider(
return ToolManageService.get_api_tool_provider(
user_id,
tenant_id,
args['provider'],
@ -266,7 +234,7 @@ class ToolBuiltinProviderCredentialsSchemaApi(Resource):
@login_required
@account_initialization_required
def get(self, provider):
return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider)
return ToolManageService.list_builtin_provider_credentials_schema(provider)
class ToolApiProviderSchemaApi(Resource):
@setup_required
@ -279,7 +247,7 @@ class ToolApiProviderSchemaApi(Resource):
args = parser.parse_args()
return ApiToolManageService.parser_api_schema(
return ToolManageService.parser_api_schema(
schema=args['schema'],
)
@ -299,7 +267,7 @@ class ToolApiProviderPreviousTestApi(Resource):
args = parser.parse_args()
return ApiToolManageService.test_api_tool_preview(
return ToolManageService.test_api_tool_preview(
current_user.current_tenant_id,
args['provider_name'] if args['provider_name'] else '',
args['tool_name'],
@ -309,229 +277,17 @@ class ToolApiProviderPreviousTestApi(Resource):
args['schema'],
)
class ToolWorkflowProviderCreateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = current_user.id
tenant_id = current_user.current_tenant_id
reqparser = reqparse.RequestParser()
reqparser.add_argument('workflow_app_id', type=uuid_value, required=True, nullable=False, location='json')
reqparser.add_argument('name', type=alphanumeric, required=True, nullable=False, location='json')
reqparser.add_argument('label', type=str, required=True, nullable=False, location='json')
reqparser.add_argument('description', type=str, required=True, nullable=False, location='json')
reqparser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
reqparser.add_argument('parameters', type=list[dict], required=True, nullable=False, location='json')
reqparser.add_argument('privacy_policy', type=str, required=False, nullable=True, location='json', default='')
reqparser.add_argument('labels', type=list[str], required=False, nullable=True, location='json')
args = reqparser.parse_args()
return WorkflowToolManageService.create_workflow_tool(
user_id,
tenant_id,
args['workflow_app_id'],
args['name'],
args['label'],
args['icon'],
args['description'],
args['parameters'],
args['privacy_policy'],
args.get('labels', []),
)
class ToolWorkflowProviderUpdateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = current_user.id
tenant_id = current_user.current_tenant_id
reqparser = reqparse.RequestParser()
reqparser.add_argument('workflow_tool_id', type=uuid_value, required=True, nullable=False, location='json')
reqparser.add_argument('name', type=alphanumeric, required=True, nullable=False, location='json')
reqparser.add_argument('label', type=str, required=True, nullable=False, location='json')
reqparser.add_argument('description', type=str, required=True, nullable=False, location='json')
reqparser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
reqparser.add_argument('parameters', type=list[dict], required=True, nullable=False, location='json')
reqparser.add_argument('privacy_policy', type=str, required=False, nullable=True, location='json', default='')
reqparser.add_argument('labels', type=list[str], required=False, nullable=True, location='json')
args = reqparser.parse_args()
if not args['workflow_tool_id']:
raise ValueError('incorrect workflow_tool_id')
return WorkflowToolManageService.update_workflow_tool(
user_id,
tenant_id,
args['workflow_tool_id'],
args['name'],
args['label'],
args['icon'],
args['description'],
args['parameters'],
args['privacy_policy'],
args.get('labels', []),
)
class ToolWorkflowProviderDeleteApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = current_user.id
tenant_id = current_user.current_tenant_id
reqparser = reqparse.RequestParser()
reqparser.add_argument('workflow_tool_id', type=uuid_value, required=True, nullable=False, location='json')
args = reqparser.parse_args()
return WorkflowToolManageService.delete_workflow_tool(
user_id,
tenant_id,
args['workflow_tool_id'],
)
class ToolWorkflowProviderGetApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument('workflow_tool_id', type=uuid_value, required=False, nullable=True, location='args')
parser.add_argument('workflow_app_id', type=uuid_value, required=False, nullable=True, location='args')
args = parser.parse_args()
if args.get('workflow_tool_id'):
tool = WorkflowToolManageService.get_workflow_tool_by_tool_id(
user_id,
tenant_id,
args['workflow_tool_id'],
)
elif args.get('workflow_app_id'):
tool = WorkflowToolManageService.get_workflow_tool_by_app_id(
user_id,
tenant_id,
args['workflow_app_id'],
)
else:
raise ValueError('incorrect workflow_tool_id or workflow_app_id')
return jsonable_encoder(tool)
class ToolWorkflowProviderListToolApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument('workflow_tool_id', type=uuid_value, required=True, nullable=False, location='args')
args = parser.parse_args()
return jsonable_encoder(WorkflowToolManageService.list_single_workflow_tools(
user_id,
tenant_id,
args['workflow_tool_id'],
))
class ToolBuiltinListApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return jsonable_encoder([provider.to_dict() for provider in BuiltinToolManageService.list_builtin_tools(
user_id,
tenant_id,
)])
class ToolApiListApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return jsonable_encoder([provider.to_dict() for provider in ApiToolManageService.list_api_tools(
user_id,
tenant_id,
)])
class ToolWorkflowListApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return jsonable_encoder([provider.to_dict() for provider in WorkflowToolManageService.list_tenant_workflow_tools(
user_id,
tenant_id,
)])
class ToolLabelsApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
return jsonable_encoder(ToolLabelsService.list_tool_labels())
# tool provider
api.add_resource(ToolProviderListApi, '/workspaces/current/tool-providers')
# builtin tool provider
api.add_resource(ToolBuiltinProviderListToolsApi, '/workspaces/current/tool-provider/builtin/<provider>/tools')
api.add_resource(ToolBuiltinProviderDeleteApi, '/workspaces/current/tool-provider/builtin/<provider>/delete')
api.add_resource(ToolBuiltinProviderUpdateApi, '/workspaces/current/tool-provider/builtin/<provider>/update')
api.add_resource(ToolBuiltinProviderGetCredentialsApi, '/workspaces/current/tool-provider/builtin/<provider>/credentials')
api.add_resource(ToolBuiltinProviderCredentialsSchemaApi, '/workspaces/current/tool-provider/builtin/<provider>/credentials_schema')
api.add_resource(ToolBuiltinProviderIconApi, '/workspaces/current/tool-provider/builtin/<provider>/icon')
# api tool provider
api.add_resource(ToolApiProviderAddApi, '/workspaces/current/tool-provider/api/add')
api.add_resource(ToolApiProviderGetRemoteSchemaApi, '/workspaces/current/tool-provider/api/remote')
api.add_resource(ToolApiProviderListToolsApi, '/workspaces/current/tool-provider/api/tools')
api.add_resource(ToolApiProviderUpdateApi, '/workspaces/current/tool-provider/api/update')
api.add_resource(ToolApiProviderUpdateApi, '/workspaces/current/tool-provider/api/update')
api.add_resource(ToolApiProviderDeleteApi, '/workspaces/current/tool-provider/api/delete')
api.add_resource(ToolApiProviderGetApi, '/workspaces/current/tool-provider/api/get')
api.add_resource(ToolApiProviderSchemaApi, '/workspaces/current/tool-provider/api/schema')
api.add_resource(ToolApiProviderPreviousTestApi, '/workspaces/current/tool-provider/api/test/pre')
# workflow tool provider
api.add_resource(ToolWorkflowProviderCreateApi, '/workspaces/current/tool-provider/workflow/create')
api.add_resource(ToolWorkflowProviderUpdateApi, '/workspaces/current/tool-provider/workflow/update')
api.add_resource(ToolWorkflowProviderDeleteApi, '/workspaces/current/tool-provider/workflow/delete')
api.add_resource(ToolWorkflowProviderGetApi, '/workspaces/current/tool-provider/workflow/get')
api.add_resource(ToolWorkflowProviderListToolApi, '/workspaces/current/tool-provider/workflow/tools')
api.add_resource(ToolBuiltinListApi, '/workspaces/current/tools/builtin')
api.add_resource(ToolApiListApi, '/workspaces/current/tools/api')
api.add_resource(ToolWorkflowListApi, '/workspaces/current/tools/workflow')
api.add_resource(ToolLabelsApi, '/workspaces/current/tool-labels')

View File

@ -3,7 +3,6 @@ import logging
from flask import request
from flask_login import current_user
from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse
from werkzeug.exceptions import Unauthorized
import services
from controllers.console import api
@ -20,7 +19,7 @@ from controllers.console.wraps import account_initialization_required, cloud_edi
from extensions.ext_database import db
from libs.helper import TimestampField
from libs.login import login_required
from models.account import Tenant, TenantStatus
from models.account import Tenant
from services.account_service import TenantService
from services.file_service import FileService
from services.workspace_service import WorkspaceService
@ -117,16 +116,6 @@ class TenantApi(Resource):
tenant = current_user.current_tenant
if tenant.status == TenantStatus.ARCHIVE:
tenants = TenantService.get_join_tenants(current_user)
# if there is any tenant, switch to the first one
if len(tenants) > 0:
TenantService.switch_tenant(current_user, tenants[0].id)
tenant = tenants[0]
# else, raise Unauthorized
else:
raise Unauthorized('workspace is archived')
return WorkspaceService.get_tenant_info(tenant), 200
@ -161,13 +150,13 @@ class CustomConfigWorkspaceApi(Resource):
parser.add_argument('replace_webapp_logo', type=str, location='json')
args = parser.parse_args()
tenant = db.session.query(Tenant).filter(Tenant.id == current_user.current_tenant_id).one_or_404()
custom_config_dict = {
'remove_webapp_brand': args['remove_webapp_brand'],
'replace_webapp_logo': args['replace_webapp_logo'] if args['replace_webapp_logo'] is not None else tenant.custom_config_dict.get('replace_webapp_logo') ,
'replace_webapp_logo': args['replace_webapp_logo'],
}
tenant = db.session.query(Tenant).filter(Tenant.id == current_user.current_tenant_id).one_or_404()
tenant.custom_config_dict = custom_config_dict
db.session.commit()

View File

@ -51,12 +51,14 @@ def cloud_edition_billing_resource_check(resource: str,
@wraps(view)
def decorated(*args, **kwargs):
features = FeatureService.get_features(current_user.current_tenant_id)
if features.billing.enabled:
members = features.members
apps = features.apps
vector_space = features.vector_space
documents_upload_quota = features.documents_upload_quota
annotation_quota_limit = features.annotation_quota_limit
if resource == 'members' and 0 < members.limit <= members.size:
abort(403, error_msg)
elif resource == 'apps' and 0 < apps.limit <= apps.size:
@ -78,29 +80,7 @@ def cloud_edition_billing_resource_check(resource: str,
return view(*args, **kwargs)
return view(*args, **kwargs)
return decorated
return interceptor
def cloud_edition_billing_knowledge_limit_check(resource: str,
error_msg: str = "To unlock this feature and elevate your Dify experience, please upgrade to a paid plan."):
def interceptor(view):
@wraps(view)
def decorated(*args, **kwargs):
features = FeatureService.get_features(current_user.current_tenant_id)
if features.billing.enabled:
if resource == 'add_segment':
if features.billing.subscription.plan == 'sandbox':
abort(403, error_msg)
else:
return view(*args, **kwargs)
return view(*args, **kwargs)
return decorated
return interceptor
@ -119,5 +99,4 @@ def cloud_utm_record(view):
except Exception as e:
pass
return view(*args, **kwargs)
return decorated

View File

@ -1,5 +1,5 @@
# -*- coding:utf-8 -*-
from flask import Blueprint
from libs.external_api import ExternalApi
bp = Blueprint('files', __name__)

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