fix typo in README.md

Co-authored-by: 莫岳恒 <moyueheng@datagrand.com>

.devcontainer/Dockerfile

@@ -0,0 +1,5 @@
+FROM mcr.microsoft.com/devcontainers/python:3.10
+
+# [Optional] Uncomment this section to install additional OS packages.
+# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
+#     && apt-get -y install --no-install-recommends <your-package-list-here>

.devcontainer/README.md

@@ -0,0 +1,37 @@
+# Development 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
+[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/langgenius/dify)
+
+you can simply click the button above to open this project in GitHub Codespaces.
+
+For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
+
+
+## VS Code Dev Containers
+[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langgenius/dify)
+
+if you have VS Code installed, you can click the button above to open this project in VS Code Dev Containers.
+
+You can learn more in the [Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers).
+
+
+## Pros of Devcontainer
+Unified Development Environment: By using devcontainers, you can ensure that all developers are developing in the same environment, reducing the occurrence of "it works on my machine" type of issues.
+
+Quick Start: New developers can set up their development environment in a few simple steps, without spending a lot of time on environment configuration.
+
+Isolation: Devcontainers isolate your project from your host operating system, reducing the chance of OS updates or other application installations impacting the development environment.
+
+## Cons of Devcontainer
+Learning Curve: For developers unfamiliar with Docker and VS Code, using devcontainers may be somewhat complex.
+
+Performance Impact: While usually minimal, programs running inside a devcontainer may be slightly slower than those running directly on the host.
+
+## Troubleshooting
+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.
+The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)

.devcontainer/devcontainer.json

@@ -0,0 +1,52 @@
+// For format details, see https://aka.ms/devcontainer.json. For config options, see the
+// README at: https://github.com/devcontainers/templates/tree/main/src/anaconda
+{
+	"name": "Python 3.10",
+	"build": { 
+		"context": "..",
+		"dockerfile": "Dockerfile"
+	},
+	"features": {
+		"ghcr.io/devcontainers/features/node:1": {
+			"nodeGypDependencies": true,
+			"version": "lts"
+		},
+		"ghcr.io/devcontainers-contrib/features/npm-package:1": {
+			"package": "typescript",
+			"version": "latest"
+		},
+		"ghcr.io/devcontainers/features/docker-in-docker:2": {
+			"moby": true,
+			"azureDnsAutoDetection": true,
+			"installDockerBuildx": true,
+			"version": "latest",
+			"dockerDashComposeVersion": "v2"
+		}
+	},
+	"customizations": {
+		"vscode": {
+			"extensions": [
+				"ms-python.pylint",
+				"GitHub.copilot",
+				"ms-python.python"
+			]
+		}
+	},
+	"postStartCommand": "./.devcontainer/post_start_command.sh",
+	"postCreateCommand": "./.devcontainer/post_create_command.sh"
+
+	// Features to add to the dev container. More info: https://containers.dev/features.
+	// "features": {},
+
+	// Use 'forwardPorts' to make a list of ports inside the container available locally.
+	// "forwardPorts": [],
+
+	// Use 'postCreateCommand' to run commands after the container is created.
+	// "postCreateCommand": "python --version",
+
+	// Configure tool-specific properties.
+	// "customizations": {},
+
+	// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
+	// "remoteUser": "root"
+}

.devcontainer/noop.txt

@@ -0,0 +1,3 @@
+This file copied into the container along with environment.yml* from the parent
+folder. This file is included to prevents the Dockerfile COPY instruction from 
+failing if no environment.yml is found.

.devcontainer/post_create_command.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+cd web && npm install
+pipx install poetry
+
+echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
+echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
+echo 'alias start-web="cd /workspaces/dify/web && 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

.devcontainer/post_start_command.sh

@@ -0,0 +1,3 @@
+#!/bin/bash
+
+poetry install -C api

.gitattributes

@@ -0,0 +1,7 @@
+# Ensure that .sh scripts use LF as line separator, even if they are checked out
+# to Windows(NTFS) file-system, by a user of Docker for Window. 
+# These .sh scripts will be run from the Container after `docker compose up -d`.
+# If they appear to be CRLF style, Dash from the Container will fail to execute
+# them.
+
+*.sh      text eol=lf

.github/CODE_OF_CONDUCT.md

@@ -0,0 +1,43 @@
+# Dify Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, caste, color, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Language Policy
+
+To facilitate clear and effective communication, all discussions, comments, documentation, and pull requests in this project should be conducted in English. This ensures that all contributors can participate and collaborate effectively.
+
+

.github/DISCUSSION_TEMPLATE/general.yml

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

.github/DISCUSSION_TEMPLATE/help.yml

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

.github/DISCUSSION_TEMPLATE/suggestion.yml

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

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -0,0 +1,61 @@
+name: "🕷️ Bug report"
+description: Report errors or unexpected behavior
+labels:
+  - bug
+body:
+  - type: checkboxes
+    attributes:
+      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: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
+          required: true
+        - label: "Please do not modify this template :) and fill in all the required fields."
+          required: true
+
+  - type: input
+    attributes:
+      label: Dify version
+      description: See about section in Dify console
+    validations:
+      required: true
+
+  - type: dropdown
+    attributes:
+      label: Cloud or Self Hosted
+      description: How / Where was Dify installed from?
+      multiple: true
+      options:
+        - Cloud
+        - Self Hosted (Docker)
+        - Self Hosted (Source)
+    validations:
+      required: true
+
+  - type: textarea
+    attributes:
+      label: Steps to reproduce
+      description: We highly suggest including screenshots and a bug report log. Please use the right markdown syntax for code blocks.
+      placeholder: Having detailed steps helps us reproduce the bug.
+    validations:
+      required: true
+
+  - type: textarea
+    attributes:
+      label: ✔️ Expected Behavior
+      placeholder: What were you expecting?
+    validations:
+      required: false
+
+  - type: textarea
+    attributes:
+      label: ❌ Actual Behavior
+      placeholder: What happened instead?
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,5 @@
+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

.github/ISSUE_TEMPLATE/document_issue.yml

@@ -0,0 +1,24 @@
+name: "📚 Documentation Issue"
+description: Report issues in our documentation
+labels:
+  - documentation
+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 report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
+          required: true
+        - label: "Please do not modify this template :) and fill in all the required fields."
+          required: true
+  - type: textarea
+    attributes:
+      label: Provide a description of requested docs changes
+      placeholder: Briefly describe which document needs to be corrected and why.
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -0,0 +1,40 @@
+name: "⭐ Feature or enhancement request"
+description: Propose something new.
+labels:
+  - enhancement
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
+          required: true
+        - label: "Please do not modify this template :) and fill in all the required fields."
+          required: true
+  - type: textarea
+    attributes:
+      label: 1. Is this request related to a challenge you're experiencing? Tell me about your story.
+      placeholder: Please describe the specific scenario or problem you're facing as clearly as possible. For instance "I was trying to use [feature] for [specific task], and [what happened]... It was frustrating because...."
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: 2. Additional context or comments
+      placeholder: (Any other information, comments, documentations, links, or screenshots that would provide more clarity. This is the place to add anything else not covered above.)
+    validations:
+      required: false
+  - type: checkboxes
+    attributes:
+      label: 3. Can you help us with this feature?
+      description: Let us know! This is not a commitment, but a starting point for collaboration.
+      options:
+        - label: I am interested in contributing to this feature.
+          required: false
+  - type: markdown
+    attributes:
+      value: Please limit one request per issue.

.github/ISSUE_TEMPLATE/translation_issue.yml

@@ -0,0 +1,55 @@
+name: "🌐 Localization/Translation issue"
+description: Report incorrect translations. [please use English :）]
+labels:
+  - translation
+body:
+  - type: checkboxes
+    attributes:
+      label: Self Checks
+      description: "To make sure we get to you in time, please check the following :)"
+      options:
+        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
+          required: true
+        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
+          required: true
+        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）"
+          required: true
+        - label: "Please do not modify this template :) and fill in all the required fields."
+          required: true
+  - type: input
+    attributes:
+      label: Dify version
+      description: Hover over system tray icon or look at Settings
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: Utility with translation issue
+      placeholder: Some area
+      description: Please input here the utility with the translation issue
+    validations:
+      required: true
+  - type: input
+    attributes:
+      label: 🌐 Language affected
+      placeholder: "German"
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ❌ Actual phrase(s)
+      placeholder: What is there? Please include a screenshot as that is extremely helpful.
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ✔️ Expected phrase(s)
+      placeholder: What was expected?
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: ℹ Why is the current translation wrong
+      placeholder: Why do you feel this is incorrect?
+    validations:
+      required: true

.github/ISSUE_TEMPLATE/🐛-bug-report.md

@@ -1,32 +0,0 @@
----
-name: "\U0001F41B Bug report"
-about: Create a report to help us improve
-title: ''
-labels: bug
-assignees: ''
-
----
-
-<!--
-  Please provide a clear and concise description of what the bug is. Include
-  screenshots if needed. Please test using the latest version of the relevant
-  Dify packages to make sure your issue has not already been fixed.
--->
-
-Dify version: Cloud | Self Host
-
-## Steps To Reproduce
-<!--
-  Your bug will get fixed much faster if we can run your code and it doesn't
-  have dependencies other than Dify. Issues without reproduction steps or
-  code examples may be immediately closed as not actionable.
--->
-
-1.
-2.
-
-
-## The current behavior
-
-
-## The expected behavior

.github/ISSUE_TEMPLATE/🚀-feature-request.md

@@ -1,20 +0,0 @@
----
-name: "\U0001F680 Feature request"
-about: Suggest an idea for this project
-title: ''
-labels: enhancement
-assignees: ''
-
----
-
-**Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
-
-**Describe the solution you'd like**
-A clear and concise description of what you want to happen.
-
-**Describe alternatives you've considered**
-A clear and concise description of any alternative solutions or features you've considered.
-
-**Additional context**
-Add any other context or screenshots about the feature request here.

.github/ISSUE_TEMPLATE/🤔-questions-and-help.md

@@ -1,10 +0,0 @@
----
-name: "\U0001F914 Questions and Help"
-about: Ask a usage or consultation question
-title: ''
-labels: ''
-assignees: ''
-
----
-
-

.github/linters/.hadolint.yaml

@@ -0,0 +1 @@
+failure-threshold: "error"

.github/linters/.isort.cfg

@@ -0,0 +1,2 @@
+[settings]
+line_length=120

.github/linters/.yaml-lint.yml

@@ -0,0 +1,11 @@
+---
+
+extends: default
+
+rules:
+  brackets:
+    max-spaces-inside: 1
+  comments-indentation: disable
+  document-start: disable
+  line-length: disable
+  truthy: disable

.github/pull_request_template.md

@@ -0,0 +1,34 @@
+# Checklist:
+
+> [!IMPORTANT]  
+> Please review the checklist below before submitting your pull request.
+
+- [ ] Please open an issue before creating a PR or link to an existing issue
+- [ ] I have performed a self-review of my own code
+- [ ] I have commented my code, particularly in hard-to-understand areas
+- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
+
+# Description
+
+Describe the big picture of your changes here to communicate to the maintainers why we should accept this pull request. If it fixes a bug or resolves a feature request, be sure to link to that issue. Close issue syntax: `Fixes #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
+
+Fixes 
+
+## Type of Change
+
+- [ ] Bug fix (non-breaking change which fixes an issue)
+- [ ] New feature (non-breaking change which adds functionality)
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
+- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
+- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
+- [ ] Dependency upgrade
+
+# Testing Instructions
+
+Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
+
+- [ ] Test A
+- [ ] Test B
+
+
+

.github/workflows/api-tests.yml

@@ -0,0 +1,95 @@
+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:
+    name: API Tests
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.10"
+          - "3.11"
+          - "3.12"
+
+    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 --lock
+          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 dotenvs
+        run: |
+          cp docker/.env.example docker/.env
+          cp docker/middleware.env.example docker/middleware.env
+
+      - name: Expose Service Ports
+        run: sh .github/workflows/expose_service_ports.sh
+
+      - name: Set up 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, MyScale, ElasticSearch)
+        uses: hoverkraft-tech/compose-action@v2.0.0
+        with:
+          compose-file: |
+            docker/docker-compose.yaml
+          services: |
+            weaviate
+            qdrant
+            etcd
+            minio
+            milvus-standalone
+            pgvecto-rs
+            pgvector
+            chroma
+            elasticsearch
+      - name: Test Vector Stores
+        run: poetry run -C api bash dev/pytest/pytest_vdb.sh

.github/workflows/build-api-image.yml

@@ -1,60 +0,0 @@
-name: Build and Push API 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@v2
-
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v2
-
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v4
-      with:
-        images: langgenius/dify-api
-        tags: |
-          type=raw,value=latest,enable={{is_default_branch}}
-          type=ref,event=branch
-          type=sha,enable=true,priority=100,prefix=,suffix=,format=long
-          type=semver,pattern={{major}}.{{minor}}.{{patch}}
-          type=semver,pattern={{major}}.{{minor}}
-          type=semver,pattern={{major}}
-
-    - name: Build and push
-      uses: docker/build-push-action@v4
-      with:
-        context: "{{defaultContext}}:api"
-        platforms: linux/amd64,linux/arm64
-        build-args: |
-          COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
-        push: true
-        tags: ${{ steps.meta.outputs.tags }}
-        labels: ${{ steps.meta.outputs.labels }}
-
-    - 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 }}

.github/workflows/build-push.yml

@@ -0,0 +1,141 @@
+name: Build and Push API & Web
+
+on:
+  push:
+    branches:
+      - "main"
+      - "deploy/dev"
+  release:
+    types: [published]
+
+concurrency:
+  group: build-push-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+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' }}
+
+jobs:
+  build:
+    runs-on: ${{ matrix.platform == 'linux/arm64' && 'arm64_runner' || 'ubuntu-latest' }}
+    if: github.repository == 'langgenius/dify'
+    strategy:
+      matrix:
+        include:
+          - service_name: "build-api-amd64"
+            image_name_env: "DIFY_API_IMAGE_NAME"
+            context: "api"
+            platform: linux/amd64
+          - service_name: "build-api-arm64"
+            image_name_env: "DIFY_API_IMAGE_NAME"
+            context: "api"
+            platform: linux/arm64
+          - service_name: "build-web-amd64"
+            image_name_env: "DIFY_WEB_IMAGE_NAME"
+            context: "web"
+            platform: linux/amd64
+          - service_name: "build-web-arm64"
+            image_name_env: "DIFY_WEB_IMAGE_NAME"
+            context: "web"
+            platform: linux/arm64
+
+    steps:
+      - name: Prepare
+        run: |
+          platform=${{ matrix.platform }}
+          echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
+
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ env.DOCKERHUB_USER }}
+          password: ${{ env.DOCKERHUB_TOKEN }}
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Extract metadata for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env[matrix.image_name_env] }}
+
+      - name: Build Docker image
+        id: build
+        uses: docker/build-push-action@v6
+        with:
+          context: "{{defaultContext}}:${{ matrix.context }}"
+          platforms: ${{ matrix.platform }}
+          build-args: COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
+          labels: ${{ steps.meta.outputs.labels }}
+          outputs: type=image,name=${{ env[matrix.image_name_env] }},push-by-digest=true,name-canonical=true,push=true
+          cache-from: type=gha,scope=${{ matrix.service_name }}
+          cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
+
+      - name: Export digest
+        run: |
+          mkdir -p /tmp/digests
+          digest="${{ steps.build.outputs.digest }}"
+          touch "/tmp/digests/${digest#sha256:}"
+
+      - name: Upload digest
+        uses: actions/upload-artifact@v4
+        with:
+          name: digests-${{ matrix.context }}-${{ env.PLATFORM_PAIR }}
+          path: /tmp/digests/*
+          if-no-files-found: error
+          retention-days: 1
+
+  create-manifest:
+    needs: build
+    runs-on: ubuntu-latest
+    if: github.repository == 'langgenius/dify'
+    strategy:
+      matrix:
+        include:
+          - service_name: "merge-api-images"
+            image_name_env: "DIFY_API_IMAGE_NAME"
+            context: "api"
+          - service_name: "merge-web-images"
+            image_name_env: "DIFY_WEB_IMAGE_NAME"
+            context: "web"
+    steps:
+      - name: Download digests
+        uses: actions/download-artifact@v4
+        with:
+          path: /tmp/digests
+          pattern: digests-${{ matrix.context }}-*
+          merge-multiple: true
+
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ env.DOCKERHUB_USER }}
+          password: ${{ env.DOCKERHUB_TOKEN }}
+
+      - name: Extract metadata for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env[matrix.image_name_env] }}
+          tags: |
+            type=raw,value=latest,enable=${{ 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: Create manifest list and push
+        working-directory: /tmp/digests
+        run: |
+          docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
+            $(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)
+
+      - name: Inspect image
+        run: |
+          docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}

.github/workflows/build-web-image.yml

@@ -1,60 +0,0 @@
-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@v2
-
-    - name: Set up Docker Buildx
-      uses: docker/setup-buildx-action@v2
-
-    - name: Login to Docker Hub
-      uses: docker/login-action@v2
-      with:
-        username: ${{ secrets.DOCKERHUB_USER }}
-        password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-    - name: Extract metadata (tags, labels) for Docker
-      id: meta
-      uses: docker/metadata-action@v4
-      with:
-        images: langgenius/dify-web
-        tags: |
-          type=raw,value=latest,enable={{is_default_branch}}
-          type=ref,event=branch
-          type=sha,enable=true,priority=100,prefix=,suffix=,format=long
-          type=semver,pattern={{major}}.{{minor}}.{{patch}}
-          type=semver,pattern={{major}}.{{minor}}
-          type=semver,pattern={{major}}
-
-    - name: Build and push
-      uses: docker/build-push-action@v4
-      with:
-        context: "{{defaultContext}}:web"
-        platforms: linux/amd64,linux/arm64
-        build-args: |
-          COMMIT_SHA=${{ fromJSON(steps.meta.outputs.json).labels['org.opencontainers.image.revision'] }}
-        push: true
-        tags: ${{ steps.meta.outputs.tags }}
-        labels: ${{ steps.meta.outputs.labels }}
-
-    - 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 }}

.github/workflows/check_no_chinese_comments.py

@@ -1,35 +0,0 @@
-import os
-import re
-from zhon.hanzi import punctuation
-
-def has_chinese_characters(text):
-    for char in text:
-        if '\u4e00' <= char <= '\u9fff' or char in punctuation:
-            return True
-    return False
-
-def check_file_for_chinese_comments(file_path):
-    with open(file_path, 'r', encoding='utf-8') as file:
-        for line_number, line in enumerate(file, start=1):
-            if has_chinese_characters(line):
-                print(f"Found Chinese characters in {file_path} on line {line_number}:")
-                print(line.strip())
-                return True
-    return False
-
-def main():
-    has_chinese = False
-    excluded_files = ["model_template.py", 'stopwords.py', 'commands.py', 'indexing_runner.py']
-
-    for root, _, files in os.walk("."):
-        for file in files:
-            if file.endswith(".py") and file not in excluded_files:
-                file_path = os.path.join(root, file)
-                if check_file_for_chinese_comments(file_path):
-                    has_chinese = True
-
-    if has_chinese:
-        raise Exception("Found Chinese characters in Python files. Please remove them.")
-
-if __name__ == "__main__":
-    main()

.github/workflows/check_no_chinese_comments.yml

@@ -1,31 +0,0 @@
-name: Check for Chinese comments
-
-on:
-  push:
-    branches:
-      - 'main'
-  pull_request:
-    branches:
-      - main
-
-jobs:
-  check-chinese-comments:
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: Check out repository
-      uses: actions/checkout@v2
-
-    - name: Set up Python
-      uses: actions/setup-python@v2
-      with:
-        python-version: 3.9
-
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install zhon
-
-    - name: Run script to check for Chinese comments
-      run: |
-        python .github/workflows/check_no_chinese_comments.py

.github/workflows/db-migration-test.yml

@@ -0,0 +1,63 @@
+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: Prepare middleware env
+        run: |
+          cd docker
+          cp middleware.env.example middleware.env
+
+      - 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

.github/workflows/deploy-dev.yml

@@ -0,0 +1,24 @@
+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 }}

.github/workflows/expose_service_ports.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+yq eval '.services.weaviate.ports += ["8080:8080"]' -i docker/docker-compose.yaml
+yq eval '.services.qdrant.ports += ["6333:6333"]' -i docker/docker-compose.yaml
+yq eval '.services.chroma.ports += ["8000:8000"]' -i docker/docker-compose.yaml
+yq eval '.services["milvus-standalone"].ports += ["19530:19530"]' -i docker/docker-compose.yaml
+yq eval '.services.pgvector.ports += ["5433:5432"]' -i docker/docker-compose.yaml
+yq eval '.services["pgvecto-rs"].ports += ["5431:5432"]' -i docker/docker-compose.yaml
+yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-compose.yaml
+
+echo "Ports exposed for sandbox, weaviate, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch"

.github/workflows/stale.yml

@@ -7,7 +7,7 @@ name: Mark stale issues and pull requests
 
 on:
   schedule:
-  - cron: '0 3 * * *'
+    - cron: '0 3 * * *'
 
 jobs:
   stale:
@@ -18,13 +18,13 @@ jobs:
       pull-requests: write
 
     steps:
-    - uses: actions/stale@v5
-      with:
-        days-before-issue-stale: 30
-        days-before-issue-close: 3
-        repo-token: ${{ secrets.GITHUB_TOKEN }}
-        stale-issue-message: "Close due to it's no longer active, if you have any questions, you can reopen it."
-        stale-pr-message: "Close due to it's no longer active, if you have any questions, you can reopen it."
-        stale-issue-label: 'no-issue-activity'
-        stale-pr-label: 'no-pr-activity'
-        any-of-labels: 'duplicate,question,invalid,wontfix,no-issue-activity,no-pr-activity,enhancement'
+      - uses: actions/stale@v5
+        with:
+          days-before-issue-stale: 15
+          days-before-issue-close: 3
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
+          stale-issue-message: "Close due to it's no longer active, if you have any questions, you can reopen it."
+          stale-pr-message: "Close due to it's no longer active, if you have any questions, you can reopen it."
+          stale-issue-label: 'no-issue-activity'
+          stale-pr-label: 'no-pr-activity'
+          any-of-labels: 'duplicate,question,invalid,wontfix,no-issue-activity,no-pr-activity,enhancement,cant-reproduce,help-wanted'

.github/workflows/style.yml

@@ -0,0 +1,124 @@
+name: Style check
+
+on:
+  pull_request:
+    branches:
+      - main
+
+concurrency:
+  group: style-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  python-style:
+    name: Python Style
+    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: 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
+
+      - 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
+
+      - name: Ruff formatter check
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: poetry run -C api ruff format --check ./api
+
+      - name: Lint hints
+        if: failure()
+        run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
+
+  web-style:
+    name: Web Style
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: ./web
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Check changed files
+        id: changed-files
+        uses: tj-actions/changed-files@v44
+        with:
+          files: web/**
+
+      - 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
+
+      - 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/**
+
+      - 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
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          IGNORE_GENERATED_FILES: true
+          IGNORE_GITIGNORED_FILES: true
+          VALIDATE_BASH: true
+          VALIDATE_BASH_EXEC: true
+          # FIXME: temporarily disabled until api-docker.yaml's run script is fixed for shellcheck
+          # VALIDATE_GITHUB_ACTIONS: true
+          VALIDATE_DOCKERFILE_HADOLINT: true
+          VALIDATE_XML: true
+          VALIDATE_YAML: true

.github/workflows/tool-test-sdks.yaml

@@ -0,0 +1,41 @@
+name: Run Unit Test For SDKs
+
+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
+    runs-on: ubuntu-latest
+
+    strategy:
+      matrix:
+        node-version: [16, 18, 20]
+
+    defaults:
+      run:
+        working-directory: sdks/nodejs-client
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Use Node.js ${{ matrix.node-version }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ matrix.node-version }}
+          cache: ''
+          cache-dependency-path: 'yarn.lock'
+
+      - name: Install Dependencies
+        run: yarn install
+
+      - name: Test
+        run: yarn test

.gitignore

@@ -109,6 +109,7 @@ venv/
 ENV/
 env.bak/
 venv.bak/
+.conda/
 
 # Spyder project settings
 .spyderproject
@@ -133,17 +134,48 @@ dmypy.json
 web/.vscode/settings.json
 
 # Intellij IDEA Files
-.idea/
+.idea/*
+!.idea/vcs.xml
+!.idea/icon.png
 .ideaDataSources/
+*.iml
+api/.idea
 
 api/.env
 api/storage/*
 
+docker-legacy/volumes/app/storage/*
+docker-legacy/volumes/db/data/*
+docker-legacy/volumes/redis/data/*
+docker-legacy/volumes/weaviate/*
+docker-legacy/volumes/qdrant/*
+docker-legacy/volumes/etcd/*
+docker-legacy/volumes/minio/*
+docker-legacy/volumes/milvus/*
+docker-legacy/volumes/chroma/*
+
 docker/volumes/app/storage/*
+docker/volumes/certbot/*
 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/*
+
+docker/nginx/conf.d/default.conf
+docker/middleware.env
 
 sdks/python-client/build
 sdks/python-client/dist
 sdks/python-client/dify_client.egg-info
+
+.vscode/*
+!.vscode/launch.json
+pyrightconfig.json
+api/.vscode
+
+.idea/
+.vscode

CONTRIBUTING.md

@@ -1,61 +1,158 @@
-# Contributing
+So you're looking to contribute to Dify - that's awesome, we can't wait to see what you do. As a startup with limited headcount and funding, we have grand ambitions to design the most intuitive workflow for building and managing LLM applications. Any help from the community counts, truly.
 
-Thanks for your interest in [Dify](https://dify.ai) and for wanting to contribute! Before you begin, read the
-[code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md) and check out the
-[existing issues](https://github.com/langgenius/langgenius-gateway/issues).
-This document describes how to set up your development environment to build and test [Dify](https://dify.ai).
+We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part. 
 
-### Install dependencies
+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.
 
-You need to install and configure the following dependencies on your machine to build [Dify](https://dify.ai):
+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
+
+[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
+
+### Feature requests:
+
+* If you're opening a new feature request, we'd like you to explain what the proposed feature achieves, and include as much context as possible. [@perzeusss](https://github.com/perzeuss) has made a solid [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) that helps you draft out your needs. Feel free to give it a try.
+
+* If you want to pick one up from the existing issues, simply drop a comment below it saying so.
+
+  
+
+  A team member working in the related direction will be looped in. If all looks good, they will give the go-ahead for you to start coding. We ask that you hold off working on the feature until then, so none of your work goes to waste should we propose changes.
+
+  Depending on whichever area the proposed feature falls under, you might talk to different team members. Here's rundown of the areas each our team members are working on at the moment:
+
+  | Member                                                       | Scope                                                |
+  | ------------------------------------------------------------ | ---------------------------------------------------- |
+  | [@yeuoly](https://github.com/Yeuoly)                         | Architecting Agents                                  |
+  | [@jyong](https://github.com/JohnJyong)                       | RAG pipeline design                                  |
+  | [@GarfieldDai](https://github.com/GarfieldDai)               | Building workflow orchestrations                     |
+  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use                  |
+  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
+  | [@takatost](https://github.com/takatost)                     | Overall product direction and architecture           |
+
+  How we prioritize:
+
+  | 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 |
+  | Non-core features and minor enhancements                     | Low Priority    |
+  | Valuable but not immediate                                   | Future-Feature  |
+
+### Anything else (e.g. bug report, performance optimization, typo correction):
+
+* Start coding right away.
+
+  How we prioritize:
+
+  | Issue Type                                                   | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | Bugs in core functions (cannot login, applications not working, security loopholes) | Critical        |
+  | Non-critical bugs, performance boosts                        | Medium Priority |
+  | Minor fixes (typos, confusing but working UI)                | Low Priority    |
+
+
+## Installing
+
+Here are the steps to set up Dify for development:
+
+### 1. Fork this repository
+
+### 2. Clone the repo
+
+ Clone the forked repository from your terminal:
+
+```
+git clone git@github.com:<github_username>/dify.git
+```
+
+### 3. Verify dependencies
+
+Dify requires the following dependencies to build, make sure they're installed on your system:
 
-- [Git](http://git-scm.com/)
 - [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
 
-## Local development
+### 4. Installations
 
-To set up a working development environment, just fork the project git repository and install the backend and frontend dependencies using the proper package manager and create run the docker-compose stack.
+Dify is composed of a backend and a frontend. Navigate to the backend directory by `cd api/`, then follow the [Backend README](api/README.md) to install it. In a separate terminal, navigate to the frontend directory by `cd web/`, then follow the [Frontend README](web/README.md) to install.
 
-### Fork the repository
+Check the [installation FAQ](https://docs.dify.ai/learn-more/faq/self-host-faq) for a list of common issues and steps to troubleshoot.
 
-you need to fork the [repository](https://github.com/langgenius/dify).
+### 5. Visit dify in your browser
 
-### Clone the repo
+To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running. 
 
-Clone your GitHub forked repository:
+## Developing
+
+If you are adding a model provider, [this guide](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) is for you.
+
+If you are adding a tool provider to Agent or Workflow, [this guide](./api/core/tools/README.md) is for you.
+
+To help you quickly navigate where your contribution fits, a brief, annotated outline of Dify's backend & frontend is as follows:
+
+### Backend
+
+Dify’s backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login. 
 
 ```
-git clone git@github.com:<github_username>/dify.git
+[api/]
+├── constants             // Constant settings used throughout code base.
+├── controllers           // API route definitions and request handling logic.           
+├── core                  // Core application orchestration, model integrations, and tools.
+├── docker                // Docker & containerization related configurations.
+├── events                // Event handling and processing
+├── extensions            // Extensions with 3rd party frameworks/platforms.
+├── fields                // field definitions for serialization/marshalling.
+├── libs                  // Reusable libraries and helpers.
+├── migrations            // Scripts for database migration.
+├── models                // Database models & schema definitions.
+├── services              // Specifies business logic.
+├── storage               // Private key storage.      
+├── tasks                 // Handling of async tasks and background jobs.
+└── tests
 ```
 
-### Install backend
+### Frontend
 
-To learn how to install the backend application, please refer to the [Backend README](api/README.md).
+The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typescript and uses [Tailwind CSS](https://tailwindcss.com/) for styling. [React-i18next](https://react.i18next.com/) is used for internationalization.
 
-### Install frontend
+```
+[web/]
+├── app                   // layouts, pages, and components
+│   ├── (commonLayout)    // common layout used throughout the app
+│   ├── (shareLayout)     // layouts specifically shared across token-specific sessions 
+│   ├── activate          // activate page
+│   ├── components        // shared by pages and layouts
+│   ├── install           // install page
+│   ├── signin            // signin page
+│   └── styles            // globally shared styles
+├── assets                // Static assets
+├── bin                   // scripts ran at build step
+├── config                // adjustable settings and options 
+├── context               // shared contexts used by different portions of the app
+├── dictionaries          // Language-specific translate files 
+├── docker                // container configurations
+├── hooks                 // Reusable hooks
+├── i18n                  // Internationalization configuration
+├── models                // describes data models & shapes of API responses
+├── public                // meta assets like favicon
+├── service               // specifies shapes of API actions
+├── test                  
+├── types                 // descriptions of function params and return values
+└── utils                 // Shared utility functions
+```
 
-To learn how to install the frontend application, please refer to the [Frontend README](web/README.md).
+## Submitting your PR
 
-### Visit dify in your browser
+At last, time to open a pull request (PR) to our repo. For major features, we first merge them into the `deploy/dev` branch for testing, before they go into the `main` branch. If you run into issues like merge conflicts or don't know how to open a pull request, check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests). 
 
-Finally, you can now visit [http://localhost:3000](http://localhost:3000) to view the [Dify](https://dify.ai) in local environment.
+And that's it! Once your PR is merged, you will be featured as a contributor in our [README](https://github.com/langgenius/dify/blob/main/README.md).
 
+## Getting Help
 
-## Create a pull request
-
-After making your changes, open a pull request (PR). Once you submit your pull request, others from the Dify team/community will review it with you.
-
-Did you have an issue, like a merge conflict, or don't know how to open a pull request? Check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) on how to resolve merge conflicts and other issues. Once your PR has been merged, you will be proudly listed as a contributor in the [contributor chart](https://github.com/langgenius/langgenius-gateway/graphs/contributors).
-
-## Community channels
-
-Stuck somewhere? Have any questions? Join the [Discord Community Server](https://discord.gg/AhzKf7dNgk). We are here to help!
-
-### i18n (Internationalization) Support
-
-We are looking for contributors to help with translations in other languages. If you are interested in helping, please join the [Discord Community Server](https://discord.gg/AhzKf7dNgk) and let us know.  
-Also check out the [Frontend i18n README]((web/i18n/README_EN.md)) for more information.
+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. 

CONTRIBUTING_CN.md

@@ -1,57 +1,154 @@
-# 贡献
+所以你想为 Dify 做贡献 - 这太棒了，我们迫不及待地想看到你的贡献。作为一家人员和资金有限的初创公司，我们有着雄心勃勃的目标，希望设计出最直观的工作流程来构建和管理 LLM 应用程序。社区的任何帮助都是宝贵的。
 
-感谢您对 [Dify](https://dify.ai) 的兴趣，并希望您能够做出贡献！在开始之前，请先阅读[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)并查看[现有问题](https://github.com/langgenius/dify/issues)。
-本文档介绍了如何设置开发环境以构建和测试 [Dify](https://dify.ai)。
+考虑到我们的现状，我们需要灵活快速地交付，但我们也希望确保像你这样的贡献者在贡献过程中获得尽可能顺畅的体验。我们为此编写了这份贡献指南，旨在让你熟悉代码库和我们与贡献者的合作方式，以便你能快速进入有趣的部分。
 
-### 安装依赖项
+这份指南，就像 Dify 本身一样，是一个不断改进的工作。如果有时它落后于实际项目，我们非常感谢你的理解，并欢迎提供任何反馈以供我们改进。
 
-您需要在计算机上安装和配置以下依赖项才能构建 [Dify](https://dify.ai)：
+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)。
 
-- [Git](http://git-scm.com/)
-- [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/) 版本 8.x.x 或 [Yarn](https://yarnpkg.com/)
-- [Python](https://www.python.org/) 版本 3.10.x
+## 在开始之前
 
-## 本地开发
+[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:closed)现有问题，或 [创建](https://github.com/langgenius/dify/issues/new/choose) 一个新问题。我们将问题分为两类：
 
-要设置一个可工作的开发环境，只需 fork 项目的 git 存储库，并使用适当的软件包管理器安装后端和前端依赖项，然后创建并运行 docker-compose 堆栈。
+### 功能请求：
 
-### Fork存储库
+* 如果您要提出新的功能请求，请解释所提议的功能的目标，并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss) 制作了一个很好的 [功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX)，可以帮助您起草需求。随时尝试一下。
 
-您需要 fork [存储库](https://github.com/langgenius/dify)。
+* 如果您想从现有问题中选择一个，请在其下方留下评论表示您的意愿。
 
-### 克隆存储库
+相关方向的团队成员将参与其中。如果一切顺利，他们将批准您开始编码。在此之前，请不要开始工作，以免我们提出更改导致您的工作付诸东流。
 
-克隆您在 GitHub 上 fork 的存储库：
+根据所提议的功能所属的领域不同，您可能需要与不同的团队成员交流。以下是我们团队成员目前正在从事的各个领域的概述：
+
+  | 团队成员                                                       | 工作范围                                                |
+  | ------------------------------------------------------------ | ---------------------------------------------------- |
+  | [@yeuoly](https://github.com/Yeuoly)                         | 架构 Agents                                  |
+  | [@jyong](https://github.com/JohnJyong)                       | RAG 流水线设计                                  |
+  | [@GarfieldDai](https://github.com/GarfieldDai)               | 构建 workflow 编排                     |
+  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | 让我们的前端更易用                  |
+  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 开发人员体验, 综合事项联系人 |
+  | [@takatost](https://github.com/takatost)                     | 产品整体方向和架构           |
+
+  事项优先级：
+
+  | 功能类型                                                 | 优先级        |
+  | ------------------------------------------------------------ | --------------- |
+  | 被团队成员标记为高优先级的功能    | 高优先级   |
+  | 在 [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) 内反馈的常见功能请求 | 中等优先级 |
+  | 非核心功能和小幅改进                     | 低优先级    |
+  | 有价值当不紧急                                   | 未来功能  |
+
+### 其他任何事情（例如 bug 报告、性能优化、拼写错误更正）：
+* 立即开始编码。
+
+  事项优先级：
+
+  | Issue 类型                                                   | 优先级        |
+  | ------------------------------------------------------------ | --------------- |
+  | 核心功能的 Bugs（例如无法登录、应用无法工作、安全漏洞） | 紧急        |
+  | 非紧急 bugs, 性能提升                        | 中等优先级 |
+  | 小幅修复(错别字, 能正常工作但存在误导的 UI)                | 低优先级    |
+
+## 安装
+
+以下是设置 Dify 进行开发的步骤：
+
+### 1. Fork 该仓库
+
+### 2. 克隆仓库
+
+从终端克隆代码仓库：
 
 ```
 git clone git@github.com:<github_username>/dify.git
 ```
 
-### 安装后端
+### 3. 验证依赖项
 
-要了解如何安装后端应用程序，请参阅[后端 README](api/README.md)。
+Dify 依赖以下工具和库：
 
-### 安装前端
+- [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
 
-要了解如何安装前端应用程序，请参阅[前端 README](web/README.md)。
+### 4. 安装
 
-### 在浏览器中访问 Dify
+Dify 由后端和前端组成。通过 `cd api/` 导航到后端目录，然后按照 [后端 README](api/README.md) 进行安装。在另一个终端中，通过 `cd web/` 导航到前端目录，然后按照 [前端 README](web/README.md) 进行安装。
 
-最后，您现在可以访问 [http://localhost:3000](http://localhost:3000) 在本地环境中查看 [Dify](https://dify.ai)。
+查看 [安装常见问题解答](https://docs.dify.ai/v/zh-hans/learn-more/faq/install-faq) 以获取常见问题列表和故障排除步骤。
 
-## 创建拉取请求
+### 5. 在浏览器中访问 Dify
 
-在进行更改后，打开一个拉取请求（PR）。提交拉取请求后，Dify 团队/社区的其他人将与您一起审查它。
+为了验证您的设置，打开浏览器并访问 [http://localhost:3000](http://localhost:3000)（默认或您自定义的 URL 和端口）。现在您应该看到 Dify 正在运行。
 
-如果遇到问题，比如合并冲突或不知道如何打开拉取请求，请查看 GitHub 的[拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)，了解如何解决合并冲突和其他问题。一旦您的 PR 被合并，您将自豪地被列为[贡献者表](https://github.com/langgenius/dify/graphs/contributors)中的一员。
+## 开发
 
-## 社区渠道
+如果您要添加模型提供程序，请参考 [此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
 
-遇到困难了吗？有任何问题吗? 加入 [Discord Community Server](https://discord.gg/AhzKf7dNgk)，我们将为您提供帮助。
+如果您要向 Agent 或 Workflow 添加工具提供程序，请参考 [此指南](./api/core/tools/README.md)。
 
-### 多语言支持
+为了帮助您快速了解您的贡献在哪个部分，以下是 Dify 后端和前端的简要注释大纲：
 
-需要参与贡献翻译内容，请参阅[前端多语言翻译 README](web/i18n/README_CN.md)。
+### 后端
+
+Dify 的后端使用 Python 编写，使用 [Flask](https://flask.palletsprojects.com/en/3.0.x/) 框架。它使用 [SQLAlchemy](https://www.sqlalchemy.org/) 作为 ORM，使用 [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) 作为任务队列。授权逻辑通过 Flask-login 进行处理。
+
+```
+[api/]
+├── constants             // 用于整个代码库的常量设置。
+├── controllers           // API 路由定义和请求处理逻辑。
+├── core                  // 核心应用编排、模型集成和工具。
+├── docker                // Docker 和容器化相关配置。
+├── events                // 事件处理和处理。
+├── extensions            // 与第三方框架/平台的扩展。
+├── fields                // 用于序列化/封装的字段定义。
+├── libs                  // 可重用的库和助手。
+├── migrations            // 数据库迁移脚本。
+├── models                // 数据库模型和架构定义。
+├── services              // 指定业务逻辑。
+├── storage               // 私钥存储。
+├── tasks                 // 异步任务和后台作业的处理。
+└── tests
+```
+
+### 前端
+
+该网站使用基于 Typescript 的 [Next.js](https://nextjs.org/) 模板进行引导，并使用 [Tailwind CSS](https://tailwindcss.com/) 进行样式设计。[React-i18next](https://react.i18next.com/) 用于国际化。
+
+```
+[web/]
+├── app                   // 布局、页面和组件
+│   ├── (commonLayout)    // 整个应用通用的布局
+│   ├── (shareLayout)     // 在特定会话中共享的布局
+│   ├── activate          // 激活页面
+│   ├── components        // 页面和布局共享的组件
+│   ├── install           // 安装页面
+│   ├── signin            // 登录页面
+│   └── styles            // 全局共享的样式
+├── assets                // 静态资源
+├── bin                   // 构建步骤运行的脚本
+├── config                // 可调整的设置和选项
+├── context               // 应用中不同部分使用的共享上下文
+├── dictionaries          // 语言特定的翻译文件
+├── docker                // 容器配置
+├── hooks                 // 可重用的钩子
+├── i18n                  // 国际化配置
+├── models                // 描述数据模型和 API 响应的形状
+├── public                // 如 favicon 等元资源
+├── service               // 定义 API 操作的形状
+├── test                  
+├── types                 // 函数参数和返回值的描述
+└── utils                 // 共享的实用函数
+```
+
+## 提交你的 PR
+
+最后，是时候向我们的仓库提交一个拉取请求（PR）了。对于重要的功能，我们首先将它们合并到 `deploy/dev` 分支进行测试，然后再合并到 `main` 分支。如果你遇到合并冲突或者不知道如何提交拉取请求的问题，请查看 [GitHub 的拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)。
+
+就是这样！一旦你的 PR 被合并，你将成为我们 [README](https://github.com/langgenius/dify/blob/main/README.md) 中的贡献者。
+
+## 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。

CONTRIBUTING_JA.md

@@ -1,55 +1,160 @@
-# コントリビュート
+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。
 
-[Dify](https://dify.ai) に興味を持ち、貢献したいと思うようになったことに感謝します！始める前に、
-[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を読み、
-[既存の問題](https://github.com/langgenius/langgenius-gateway/issues)をチェックしてください。
-本ドキュメントは、[Dify](https://dify.ai) をビルドしてテストするための開発環境の構築方法を説明するものです。
+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、同時にあなた様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。
 
-### 依存関係のインストール
+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。
 
-[Dify](https://dify.ai)をビルドするには、お使いのマシンに以下の依存関係をインストールし、設定する必要があります:
+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。
 
-- [Git](http://git-scm.com/)
-- [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/) バージョン 8.x.x もしくは [Yarn](https://yarnpkg.com/)
-- [Python](https://www.python.org/) バージョン 3.10.x
+## 飛び込む前に
 
-## ローカル開発
+[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。
 
-開発環境を構築するには、プロジェクトの git リポジトリをフォークし、適切なパッケージマネージャを使用してバックエンドとフロントエンドの依存関係をインストールし、docker-compose スタックを実行するように作成します。
+### 機能リクエスト
 
-### リポジトリのフォーク
+* 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、あなた様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。
 
-[リポジトリ](https://github.com/langgenius/dify) をフォークする必要があります。
+* 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。
 
-### リポジトリのクローン
+  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様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。
 
-GitHub でフォークしたリポジトリのクローンを作成する:
+  提案された機能がどの分野に属するかによって、あなた様は異なるチーム・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
 ```
 
-### バックエンドのインストール
+### 3. 依存関係の確認
 
-バックエンドアプリケーションのインストール方法については、[Backend README](api/README.md) を参照してください。
+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。
 
-### フロントエンドのインストール
+- [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
 
-フロントエンドアプリケーションのインストール方法については、[Frontend README](web/README.md) を参照してください。
+### 4. インストール
 
-### ブラウザで dify にアクセス
+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。
 
-[Dify](https://dify.ai) をローカル環境で見ることができるようになりました [http://localhost:3000](http://localhost:3000)。
+よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/v/japanese/learn-more/faq/install-faq) を確認してください。
 
-## プルリクエストの作成
+### 5. ブラウザで dify にアクセスする
 
-変更後、プルリクエスト (PR) をオープンしてください。プルリクエストを提出すると、Dify チーム/コミュニティの他の人があなたと一緒にそれをレビューします。
+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。
 
-マージコンフリクトなどの問題が発生したり、プルリクエストの開き方がわからなくなったりしませんでしたか？ [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) で、マージコンフリクトやその他の問題を解決する方法をチェックしてみてください。あなたの PR がマージされると、[コントリビュータチャート](https://github.com/langgenius/langgenius-gateway/graphs/contributors)にコントリビュータとして誇らしげに掲載されます。
+## 開発中
 
-## コミュニティチャンネル
+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。
 
-お困りですか？何か質問がありますか？ [Discord Community サーバ](https://discord.gg/AhzKf7dNgk)に参加してください。私たちがお手伝いします！
+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！あなた様の 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。

LICENSE

@@ -1,25 +1,27 @@
-# Dify Open Source License
+# Open Source License
 
-The Dify project uses a combination of the Apache License 2.0, MIT License, and an additional agreement to protect against direct competition with Dify Cloud services.
+Dify is licensed under the Apache License 2.0, with the following additional conditions:
 
-As a contributor, you should agree that your contributed code:
-a. Might be subject to a more permissive open source license in the future.
-b. Can be used for commercial purposes, such as Dify's cloud business.
+1. Dify may be utilized commercially, including as a backend service for other applications or as an application development platform for enterprises. Should the conditions below be met, a commercial license must be obtained from the producer:
 
-The following components are open source under the MIT license, allowing you to build and develop applications based on them:
-- WebApp elements, e.g., web/app/components/share
-- Derived WebApp Template projects
+a. Multi-tenant SaaS service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment. 
+    - Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
 
-The remaining parts of the project are open source under the Apache License 2.0.
+b. LOGO and copyright information: In the process of using Dify's frontend components, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend components.
 
-With the Apache License 2.0, MIT License, and this supplementary agreement, anyone can freely use, modify, and distribute Dify, provided that:
+Please contact business@dify.ai by email to inquire about licensing matters.
 
-- If you use Dify solely as a backend service for other applications, no authorization is needed for commercial or closed source purposes.
-- If you wish to use Dify for commercial and closed source SaaS services similar to Dify Cloud, please contact us for authorization.
+2. As a contributor, you should agree that:
+
+a. The producer can adjust the open-source agreement to be more strict or relaxed as deemed necessary.
+b. Your contributed code may be used for commercial purposes, including but not limited to its cloud business operations.
+
+Apart from the specific conditions mentioned above, all other rights and restrictions follow the Apache License 2.0. Detailed information about the Apache License 2.0 can be found at http://www.apache.org/licenses/LICENSE-2.0.
 
 The interactive design of this product is protected by appearance patent.
 
-© 2023 LangGenius, Inc.
+© 2024 LangGenius, Inc.
+
 
 ----------
 
@@ -34,13 +36,3 @@ distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
-
-----------
-The MIT License
-
-Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
-
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Makefile

@@ -0,0 +1,43 @@
+# 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

README.md

@@ -1,142 +1,228 @@
-![](./images/describe-en.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
 <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="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
+  <a href="https://docs.dify.ai">Documentation</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Enterprise Inquiry</a>
 </p>
 
-[Website](https://dify.ai) • [Docs](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+<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>
 
-**Dify** is an easy-to-use LLMOps platform designed to empower more people to create sustainable, AI-native applications. With visual orchestration for various application types, Dify offers out-of-the-box, ready-to-use applications that can also serve as Backend-as-a-Service APIs. Unify your development process with one API for plugins and datasets integration, and streamline your operations using a single interface for prompt engineering, visual analytics, and continuous improvement.
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+</p>
 
-Applications created with Dify include:
+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>
 
-Out-of-the-box web sites supporting form mode and chat conversation mode
-A single API encompassing plugin capabilities, context enhancement, and more, saving you backend coding effort
-Visual data analysis, log review, and annotation for applications
-Dify is compatible with Langchain, meaning we'll gradually support multiple LLMs, currently supported:
+**1. Workflow**:
+Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
 
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo(ChatGPT)
-- GPT-4
+https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-## Use Cloud Services
+**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).
 
-Visit [Dify.ai](https://dify.ai)
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-## Install the Community Edition
+**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.
 
-### System Requirements
+**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.
 
-Before installing Dify, make sure your machine meets the following minimum system requirements:
+**5. Agent capabilities**:
+You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
 
-- CPU >= 1 Core
-- RAM >= 4GB
+**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.
 
-### Quick Start
+**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. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
+  > 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)
+
+## Quick start
+
+> Before installing Dify, make sure your machine meets the following minimum system requirements:
+>
+> - CPU >= 2 Core
+> - RAM >= 4GB
+
+</br>
 
 The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
 
 ```bash
 cd docker
+cp .env.example .env
 docker compose up -d
 ```
 
-After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization installation process.
+After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
 
-### Helm Chart
+> 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)
 
-A 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.
+## Next steps
 
-### Configuration
+If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
-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.
+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.
 
-## Roadmap
+- [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)
 
-Features under development:
+#### Using Terraform for Deployment
 
-- **Datasets**, supporting more datasets, e.g. syncing content from Notion or webpages
-We will support more datasets, including text, webpages, and even Notion content. Users can build AI applications based on their own data sources.
-- **Plugins**, introducing ChatGPT Plugin-standard plugins for applications, or using Dify-produced plugins
-We will release plugins complying with ChatGPT standard, or Dify's own plugins to enable more capabilities in applications. 
-- **Open-source models**, e.g. adopting Llama as a model provider or for further fine-tuning
-We will work with excellent open-source models like Llama, by providing them as model options in our platform, or using them for further fine-tuning.
+##### Azure Global
 
+Deploy Dify to Azure with a single click using [terraform](https://www.terraform.io/).
 
-## Q&A
+- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
-**Q: What can I do with Dify?**
+## Contributing
 
-A: Dify is a simple yet powerful LLM development and operations tool. You can use it to build commercial-grade applications, personal assistants. If you want to develop your own applications, LangDifyGenius can save you backend work in integrating with OpenAI and offer visual operations capabilities, allowing you to continuously improve and train your GPT model.
+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.
 
-**Q: How do I use Dify to "train" my own model?**
+> 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).
 
-A: A valuable application consists of Prompt Engineering, context enhancement, and Fine-tuning. We've created a hybrid programming approach combining Prompts with programming languages (similar to a template engine), making it easy to accomplish long-text embedding or capturing subtitles from a user-input Youtube video - all of which will be submitted as context for LLMs to process. We place great emphasis on application operability, with data generated by users during App usage available for analysis, annotation, and continuous training. Without the right tools, these steps can be time-consuming.
+**Contributors**
 
-**Q: What do I need to prepare if I want to create my own application?**
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
 
-A: We assume you already have an OpenAI API Key; if not, please register for one. If you already have some content that can serve as training context, that's great!
+## Community & contact
 
-**Q: What interface languages are available?**
+- [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
+- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
+- [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
 
-A: English and Chinese are currently supported, and you can contribute language packs to us.
-
-## Star History
+## Star history
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-
-## Contributing 
-
-We welcome you to contribute to Dify to help make Dify better. We welcome contributions in various ways, submitting code, issues, new ideas, or sharing the interesting and useful AI applications you have created based on Dify. At the same time, we also welcome you to share Dify at different events, conferences, and social media.
-
-### Submit a Pull Request 
-
-To ensure proper review, all code contributions, including from contributors with direct commit access, must be submitted as PR requests and approved by core developers before merging branches. 
-We welcome PRs from everyone! If you're willing to help out, you can learn more about how to contribute code to the project in the [Contribution Guide](CONTRIBUTING.md).  
-
-### Submit issues or ideas  
-
-You can submit your issues or ideas by adding issues to the Dify repository. If you encounter issues, please describe the steps you took to encounter the issue as much as possible so we can better discover it. If you have any new ideas for our product, we also welcome your feedback. Please share your insights as much as possible so we can get more feedback and further discussion in the community.  
-
-### Share your applications
-
-We encourage all community members to share their AI applications built on Dify, which can be applied to different scenarios or different users. This will provide powerful inspiration for people who want to create AI capabilities! You can share your experience by [submitting an issue in the Dify-user-case repository](https://github.com/langgenius/dify-user-case/issues).  
-
-### Share Dify with others
-
-We encourage community contributors to actively demonstrate different aspects of using Dify. You can talk or share any feature of using Dify at  meetups and conferences, blogs or social media. We believe your unique sharing will be of great help to others!  Mention @Dify.AI on Twitter and/or communicate on [Discord](https://discord.gg/FngNHpbcY7) so we can give pointers and tips and help you spread the word by promoting your content on the different Dify communication channels.
-
-### Help others 
-You can also help people in need of help on Discord, GitHub issues or other social platforms, guide others to solve problems encountered during use and share usage experiences. This is also a great contribution! If you want to become a maintainer of the Dify community, please contact the official team via [Discord](https://discord.gg/FngNHpbcY7) or email us at support@dify.ai. 
-
-
-## Contact Us
-
-If you have any questions, suggestions, or partnership inquiries, feel free to contact us through the following channels:
-
-- Submit an Issue or PR on our GitHub Repo
-- Join the discussion in our [Discord](https://discord.gg/FngNHpbcY7) Community
-- Send an email to hello@dify.ai
-
-We're eager to assist you and together create more fun and useful AI applications!
-
-## Security
+## 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.
 
-## Citation
-
-This software uses the following open-source software:
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-- Liu, J. (2022). LlamaIndex [Computer software]. doi: 10.5281/zenodo.1234.
-
-For more information, please refer to the official website or license text of the respective software.
-
 ## License
 
-This repository is available under the [Dify Open Source License](LICENSE).
+This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

README_AR.md

@@ -0,0 +1,218 @@
+![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://udify.app/chat/22L1zSxg6yW1cWQg">استفسار الشركات (للإنجليزية فقط)</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>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+</p>
+
+<div style="text-align: right;">
+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 DALL·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
+cp .env.example .env
+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 الإعدادات، فيرجى الرجوع إلى التعليقات في ملف [.env.example](docker/.env.example) وتحديث القيم المقابلة في ملف `.env`. بالإضافة إلى ذلك، قد تحتاج إلى إجراء تعديلات على ملف `docker-compose.yaml` نفسه، مثل تغيير إصدارات الصور أو تعيينات المنافذ أو نقاط تحميل وحدات التخزين، بناءً على بيئة النشر ومتطلباتك الخاصة. بعد إجراء أي تغييرات، يرجى إعادة تشغيل `docker-compose up -d`. يمكنك العثور على قائمة كاملة بمتغيرات البيئة المتاحة [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)
+
+#### استخدام Terraform للتوزيع
+
+##### Azure Global
+استخدم [terraform](https://www.terraform.io/) لنشر Dify على Azure بنقرة واحدة.
+- [Azure Terraform بواسطة @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+
+## 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).
+* [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.
+
+## 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.

README_CN.md

@@ -1,31 +1,171 @@
-![](./images/describe-cn.jpg)
+![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://udify.app/chat/22L1zSxg6yW1cWQg">（需用英文）常见问题解答 / 联系团队</a>
+</div>
+
 <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="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>
 
+<div align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+</div>
 
-[官方网站](https://dify.ai) • [文档](https://docs.dify.ai/v/zh-hans) • [Twitter](https://twitter.com/dify_ai) •  [Discord](https://discord.gg/FngNHpbcY7)
 
-**Dify** 是一个易用的 LLMOps 平台，旨在让更多人可以创建可持续运营的原生 AI 应用。Dify 提供多种类型应用的可视化编排，应用可开箱即用，也能以“后端即服务”的 API 提供服务。
+#
 
-通过 Dify 创建的应用包含了：
+<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>
 
-- 开箱即用的的 Web 站点，支持表单模式和聊天对话模式
-- 一套 API 即可包含插件、上下文增强等能力，替你省下了后端代码的编写工作
-- 可视化的对应用进行数据分析，查阅日志或进行标注
+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>
 
-Dify 兼容 Langchain，这意味着我们将逐步支持多种 LLMs ，目前已支持：
+**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。
 
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo(ChatGPT)
-- GPT-4
 
-## 使用云服务
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-访问 [Dify.ai](https://cloud.dify.ai)
+
+
+**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。
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**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、DALL·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。[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)
 
 ## 安装社区版
 
@@ -33,7 +173,7 @@ Dify 兼容 Langchain，这意味着我们将逐步支持多种 LLMs ，目前
 
 在安装 Dify 之前，请确保您的机器满足以下最低系统要求：
 
-- CPU >= 1 Core
+- CPU >= 2 Core
 - RAM >= 4GB
 
 ### 快速启动
@@ -42,97 +182,65 @@ Dify 兼容 Langchain，这意味着我们将逐步支持多种 LLMs ，目前
 
 ```bash
 cd docker
+cp .env.example .env
 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。
 
-### Helm Chart
+### 自定义配置
 
-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。
+如果您需要自定义配置，请参考 [.env.example](docker/.env.example) 文件中的注释，并更新 `.env` 文件中对应的值。此外，您可能需要根据您的具体部署环境和需求对 `docker-compose.yaml` 文件本身进行调整，例如更改镜像版本、端口映射或卷挂载。完成任何更改后，请重新运行 `docker-compose up -d`。您可以在[此处](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用环境变量的完整列表。
 
-### 配置
+#### 使用 Helm Chart 部署
 
-需要自定义配置，请参考我们的 [docker-compose.yml](docker/docker-compose.yaml) 文件中的注释，并手动设置环境配置，修改完毕后，请再次执行 `docker-compose up -d`。
+使用 [Helm Chart](https://helm.sh/) 版本或者 YAML 文件，可以在 Kubernetes 上部署 Dify。
 
-## Roadmap
+- [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)
 
-我们正在开发中的功能：
+#### 使用 Terraform 部署
 
-- **数据集**，支持更多的数据集，例如同步 Notion 或网页的内容
-我们将支持更多的数据集，包括文本、网页，甚至 Notion 内容。用户可以根据自己的数据源构建 AI 应用程序。
-- **插件**，推出符合 ChatGPT 标准的插件，或使用 Dify 产生的插件
-我们将发布符合 ChatGPT 标准的插件，或者 Dify 自己的插件，以在应用程序中启用更多功能。
-- **开源模型**，例如采用 Llama 作为模型提供者，或进行进一步的微调
-我们将与优秀的开源模型如 Llama 合作，通过在我们的平台中提供它们作为模型选项，或使用它们进行进一步的微调。
-
-## Q&A
-
-**Q: 我能用 Dify 做什么？**
-
-A: Dify 是一个简单且能力丰富的 LLM 开发和运营工具。你可以用它搭建商用级应用，个人助理。如果你想自己开发应用，Dify 也能为你省下接入 OpenAI 的后端工作，使用我们逐步提供的可视化运营能力，你可以持续的改进和训练你的 GPT 模型。
-
-**Q: 如何使用 Dify “训练”自己的模型？**
-
-A: 一个有价值的应用由 Prompt Engineering、上下文增强和 Fine-tune 三个环节组成。我们创造了一种 Prompt 结合编程语言的 Hybrid 编程方式（类似一个模版引擎），你可以轻松的完成长文本嵌入，或抓取用户输入的一个 Youtube 视频的字幕——这些都将作为上下文提交给 LLMs 进行计算。我们十分注重应用的可运营性，你的用户在使用 App 期间产生的数据，可进行分析、标记和持续训练。以上环节如果没有好的工具支持，可能会消耗你大量的时间。
-
-**Q: 如果要创建一个自己的应用，我需要准备什么？**
-
-A: 我们假定你已经有了 OpenAI API Key，如果没有请去注册一个。如果你已经有了一些内容可以作为训练上下文，就太好了。
-
-**Q: 提供哪些界面语言？**
-
-A: 现已支持英文与中文，你可以为我们贡献语言包。
+##### Azure Global
+使用 [terraform](https://www.terraform.io/) 一键部署 Dify 到 Azure。
+- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
 ## Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
 
-## 贡献
+## Contributing
 
-我们欢迎你为 Dify 作出贡献帮助 Dify 变得更好。我们欢迎各种方式的贡献，提交代码、问题、新想法、或者分享你基于 Dify 创建出的各种有趣有用的 AI 应用。同时，我们也欢迎你在不同的活动、研讨会、社交媒体上分享 Dify。
+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。
 
-### 贡献代码
-为了确保正确审查，所有代码贡献 - 包括来自具有直接提交更改权限的贡献者 - 都必须提交 PR 请求并在合并分支之前得到核心开发人员的批准。
+> 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。
 
-我们欢迎所有人提交 PR！如果您愿意提供帮助，可以在 [贡献指南](CONTRIBUTING_CN.md) 中了解有关如何为项目做出代码贡献的更多信息。
+**Contributors**
 
-### 提交问题或想法
-你可以通过 Dify 代码仓库新增 issues 来提交你的问题或想法。如遇到问题，请尽可能描述你遇到问题的操作步骤，以便我们更好地发现它。如果你对我们的产品有任何新想法，也欢迎向我们反馈，请尽可能多地分享你的见解，以便我们在社区中获得更多反馈和进一步讨论。
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
 
-### 分享你的应用
-我们鼓励所有社区成员分享他们基于 Dify 创造出的 AI 应用，它们可以是应用于不同情景或不同用户，这将有助于为希望基于 AI 能力创造的人们提供强大灵感！你可以通过 [Dify-user-case 仓库项目提交 issue](https://github.com/langgenius/dify-user-case) 来分享你的应用案例。
+## 社区与支持
 
-### 向别人分享 Dify
-我们鼓励社区贡献者们积极展示你使用 Dify 的不同角度。你可以通过线下研讨会、博客或社交媒体上谈论或分享你使用 Dify 的任意功能，相信你独特的使用分享会给别人带来非常大的帮助！如果你需要任何指导帮助，欢迎联系我们 support@dify.ai ,你也可以在 twitter @Dify.AI 或在 [Discord 社区](https://discord.gg/FngNHpbcY7)交流来帮助你传播信息。
+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。
 
-### 帮助别人
-你还可以在 Discord、GitHub issues或其他社交平台上帮助需要帮助的人，指导别人解决使用过程中遇到的问题和分享使用经验。这也是个非常了不起的贡献！如果你希望成为 Dify 社区的维护者，请通过[Discord 社区](https://discord.gg/FngNHpbcY7) 联系官方团队或邮件联系我们 support@dify.ai.
+- [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。
+- [Twitter](https://twitter.com/dify_ai)。👉：分享您的应用程序并与社区交流。
+- [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉：有关商业用途许可 Dify.AI 的商业咨询。
+ - [微信]() 👉：扫描下方二维码，添加微信好友，备注 Dify，我们将邀请您加入 Dify 社区。  
+<img src="./images/wechat.png" alt="wechat" width="100"/>
 
-
-## 联系我们
-
-如果您有任何问题、建议或合作意向，欢迎通过以下方式联系我们：
-
-- 在我们的 [GitHub Repo](https://github.com/langgenius/dify) 上提交 Issue 或 PR
-- 在我们的 [Discord 社区](https://discord.gg/FngNHpbcY7) 上加入讨论
-- 发送邮件至 hello@dify.ai
-
-## 安全
+## 安全问题
 
 为了保护您的隐私，请避免在 GitHub 上发布安全问题。发送问题至 security@dify.ai，我们将为您做更细致的解答。
 
-## Citation
-
-本软件使用了以下开源软件：
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-- Liu, J. (2022). LlamaIndex [Computer software]. doi: 10.5281/zenodo.1234.
-
-更多信息，请参考相应软件的官方网站或许可证文本。
-
 ## License
 
-本仓库遵循 [Dify Open Source License](LICENSE) 开源协议。
+本仓库遵循 [Dify Open Source License](LICENSE) 开源协议，该许可证本质上是 Apache 2.0，但有一些额外的限制。

README_ES.md

@@ -1,124 +1,244 @@
-![](./images/describe-en.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
 <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="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-alojamiento</a> ·
+  <a href="https://docs.dify.ai">Documentación</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariales (en inglés)</a>
 </p>
 
-[Sitio web](https://dify.ai) • [Documentación](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+<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>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat en Discord"></a>
+    <a href="https://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>
+    <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>
+</p>
 
-**Dify** es una plataforma LLMOps fácil de usar diseñada para capacitar a más personas para que creen aplicaciones sostenibles basadas en IA. Con orquestación visual para varios tipos de aplicaciones, Dify ofrece aplicaciones listas para usar que también pueden funcionar como APIs de Backend-as-a-Service. Unifica tu proceso de desarrollo con una API para la integración de complementos y conjuntos de datos, y agiliza tus operaciones utilizando una interfaz única para la ingeniería de indicaciones, análisis visual y mejora continua.
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+</p>
 
-Las aplicaciones creadas con Dify incluyen:
+#
 
-- Sitios web listos para usar que admiten el modo de formulario y el modo de conversación por chat.
-- Una API única que abarca capacidades de complementos, mejora de contexto y más, lo que te ahorra esfuerzo de programación en el backend.
-- Análisis visual de datos, revisión de registros y anotación para aplicaciones.
+<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>
 
-Dify es compatible con Langchain, lo que significa que gradualmente admitiremos múltiples LLMs, actualmente compatibles con:
+**1. Flujo de trabajo**: 
+  Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
 
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo (ChatGPT)
-- GPT-4
 
-## Usar servicios en la nube
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-Visita [Dify.ai](https://dify.ai)
 
-## Instalar la Edición Comunitaria
 
-### Requisitos del sistema
+**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).
 
-Antes de instalar Dify, asegúrate de que tu máquina cumple con los siguientes requisitos mínimos del sistema:
+![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-- CPU >= 1 Core
-- RAM >= 4GB
 
-### Inicio rápido
+**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. 
 
-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:
+**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.
+
+**5. Capacidades de agente**: 
+  Puedes definir agent
+
+es basados en LLM Function Calling o ReAct, y agregar herramientas preconstruidas o personalizadas para el agente. Dify proporciona más de 50 herramientas integradas para agentes de IA, como Búsqueda de Google, DALL·E, Difusión Estable y WolframAlpha.
+
+**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.
+
+**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.
+
+
+## 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>
+
+## Usando Dify
+
+- **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.
+
+- **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.
+
+- **Dify para Empresas / Organizaciones</br>**
+Proporcionamos características adicionales centradas en la empresa. [Envíanos un correo electrónico](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir las necesidades empresariales. </br>
+  > 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.
+
+
+## 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:
 
 ```bash
 cd docker
+cp .env.example .env
 docker compose up -d
 ```
 
-Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador desde [http://localhost/install](http://localhost/install) y comenzar el proceso de instalación 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 inicialización.
 
-### Helm Chart
+> 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)
 
-Un gran agradecimiento a @BorisPolonsky por proporcionarnos una versión de [Helm Chart](https://helm.sh/), que permite desplegar Dify en Kubernetes.
-Puede ir a https://github.com/BorisPolonsky/dify-helm para obtener información de despliegue.
+## Próximos pasos
 
-### Configuración
+Si necesita personalizar la configuración, consulte los comentarios en nuestro archivo [.env.example](docker/.env.example) y actualice los valores correspondientes en su archivo `.env`. Además, es posible que deba realizar ajustes en el propio archivo `docker-compose.yaml`, como cambiar las versiones de las imágenes, las asignaciones de puertos o los montajes de volúmenes, según su entorno de implementación y requisitos específicos. Después de realizar cualquier cambio, vuelva a ejecutar `docker-compose up -d`. Puede encontrar la lista completa de variables de entorno disponibles [aquí](https://docs.dify.ai/getting-started/install-self-hosted/environments).
 
-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'.
+. 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).
 
-## Hoja de ruta
+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.
 
-Funciones en desarrollo:
+- [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)
 
-- **Conjuntos de datos**, admitiendo más conjuntos de datos, por ejemplo, sincronización de contenido desde Notion o páginas web.
-Admitiremos más conjuntos de datos, incluidos texto, páginas web e incluso contenido de Notion. Los usuarios pueden construir aplicaciones de IA basadas en sus propias fuentes de datos
-- **Complementos**, introduciendo complementos estándar de ChatGPT para aplicaciones, o utilizando complementos producidos por Dify.
-Lanzaremos complementos que cumplan con el estándar de ChatGPT, o nuestros propios complementos de Dify para habilitar más capacidades en las aplicaciones.
-- **Modelos de código abierto**, por ejemplo, adoptar Llama como proveedor de modelos o para un ajuste adicional.
-Trabajaremos con excelentes modelos de código abierto como Llama, proporcionándolos como opciones de modelos en nuestra plataforma o utilizándolos para un ajuste adicional.
+#### Uso de Terraform para el despliegue
 
-## Preguntas y respuestas
+##### Azure Global
+Utiliza [terraform](https://www.terraform.io/) para desplegar Dify en Azure con un solo clic.
+- [Azure Terraform por @nikawang](https://github.com/nikawang/dify-azure-terraform)
 
-**P: ¿Qué puedo hacer con Dify?**
 
-R: Dify es una herramienta de desarrollo y operaciones de LLM, simple pero poderosa. Puedes usarla para construir aplicaciones de calidad comercial y asistentes personales. Si deseas desarrollar tus propias aplicaciones, LangDifyGenius puede ahorrarte trabajo en el backend al integrar con OpenAI y ofrecer capacidades de operaciones visuales, lo que te permite mejorar y entrenar continuamente tu modelo GPT.
+## Contribuir
 
-**P: ¿Cómo uso Dify para "entrenar" mi propio modelo?**
+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.
 
-R: Una aplicación valiosa consta de Ingeniería de indicaciones, mejora de contexto y ajuste fino. Hemos creado un enfoque de programación híbrida que combina las indicaciones con lenguajes de programación (similar a un motor de plantillas), lo que facilita la incorporación de texto largo o la captura de subtítulos de un video de YouTube ingresado por el usuario, todo lo cual se enviará como contexto para que los LLM lo procesen. Damos gran importancia a la operabilidad de la aplicación, con los datos generados por los usuarios durante el uso de la aplicación disponibles para análisis, anotación y entrenamiento continuo. Sin las herramientas adecuadas, estos pasos pueden llevar mucho tiempo.
 
-**P: ¿Qué necesito preparar si quiero crear mi propia aplicación?**
+> 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).
 
-R: Suponemos que ya tienes una clave de API de OpenAI; si no la tienes, por favor regístrate. ¡Si ya tienes contenido que pueda servir como contexto de entrenamiento, eso es genial!
+**Contribuidores**
 
-**P: ¿Qué idiomas de interfaz están disponibles?**
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
 
-R: Actualmente se admiten inglés y chino, y puedes contribuir con paquetes de idiomas.
+## Comunidad y Contacto
 
-## Historial de estrellas
+* [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).
+* [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.
 
-[![Gráfico de historial de estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+## Historial de Estrellas
 
-## Contáctanos
+[![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
 
-Si tienes alguna pregunta, sugerencia o consulta sobre asociación, no dudes en contactarnos a través de los siguientes canales:
 
-- Presentar un problema o una solicitud de extracción en nuestro repositorio de GitHub.
-- Únete a la discusión en nuestra comunidad de [Discord](https://discord.gg/FngNHpbcY7).
-- Envía un correo electrónico a hello@dify.ai.
-
-¡Estamos ansiosos por ayudarte y crear juntos aplicaciones de IA más divertidas y útiles!
-
-## Contribuciones
-
-Para garantizar una revisión adecuada, todas las contribuciones de código, incluidas las de los colaboradores con acceso directo a los compromisos, deben enviarse mediante solicitudes de extracción y ser aprobadas por el equipo principal de
-
- desarrollo antes de fusionarse.
-
-¡Agradecemos todas las solicitudes de extracción! Si deseas ayudar, consulta la [Guía de Contribución](CONTRIBUTING.md) para obtener más información sobre cómo comenzar.
-
-## Seguridad
+## Divulgación de Seguridad
 
 Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
 
-## Citación
-
-Este software utiliza el siguiente software de código abierto:
-
-- Chase, H. (2022). LangChain [Software de computadora]. https://github.com/hwchase17/langchain
-- Liu, J. (2022). LlamaIndex [Software de computadora]. doi: 10.5281/zenodo.1234.
-
-Para obtener más información, consulta el sitio web oficial o el texto de la licencia del software correspondiente.
-
 ## Licencia
 
-Este repositorio está disponible bajo la [Licencia de código abierto de Dify](LICENSE).
+Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

README_FR.md

@@ -0,0 +1,242 @@
+![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">Auto-hébergement</a> ·
+  <a href="https://docs.dify.ai">Documentation</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Demande d’entreprise (en anglais seulement)</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>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat sur Discord"></a>
+    <a href="https://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>
+    <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>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+</p>
+
+#
+
+<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>
+
+**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.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Prise en charge complète des modèles**: 
+  Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. IDE de prompt**: 
+  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, DALL·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. [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:
+
+```bash
+cd docker
+cp .env.example .env
+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.
+
+> 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)
+
+## Prochaines étapes
+
+Si vous devez personnaliser la configuration, veuillez vous référer aux commentaires dans notre fichier [.env.example](docker/.env.example) et mettre à jour les valeurs correspondantes dans votre fichier `.env`. De plus, vous devrez peut-être apporter des modifications au fichier `docker-compose.yaml` lui-même, comme changer les versions d'image, les mappages de ports ou les montages de volumes, en fonction de votre environnement de déploiement et de vos exigences spécifiques. Après avoir effectué des modifications, veuillez réexécuter `docker-compose up -d`. Vous pouvez trouver la liste complète des variables d'environnement disponibles [ici](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.
+
+- [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)
+
+#### Utilisation de Terraform pour le déploiement
+
+##### Azure Global
+Utilisez [terraform](https://www.terraform.io/) pour déployer Dify sur Azure en un clic.
+- [Azure Terraform par @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+
+## Contribuer
+
+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 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).
+
+**Contributeurs**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## 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).
+* [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.
+
+## 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.

README_JA.md

@@ -1,123 +1,234 @@
-![](./images/describe-en.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
 <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="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">セルフホスティング</a> ·
+  <a href="https://docs.dify.ai">ドキュメント</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業のお問い合わせ（英語のみ）</a>
 </p>
 
-[Web サイト](https://dify.ai) • [ドキュメント](https://docs.dify.ai) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+<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="Discordでチャット"></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>
+    <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>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+</p>
+
+#
+
+<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>
+
+**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。
 
 
-**Dify** は、より多くの人々が持続可能な AI ネイティブアプリケーションを作成できるように設計された、使いやすい LLMOps プラットフォームです。様々なアプリケーションタイプに対応したビジュアルオーケストレーションにより Dify は Backend-as-a-Service API としても機能する、すぐに使えるアプリケーションを提供します。プラグインやデータセットを統合するための1つの API で開発プロセスを統一し、プロンプトエンジニアリング、ビジュアル分析、継続的な改善のための1つのインターフェイスを使って業務を合理化します。
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
 
-Difyで作成したアプリケーションは以下の通りです:
 
-フォームモードとチャット会話モードをサポートする、すぐに使える Web サイト
-プラグイン機能、コンテキストの強化などを網羅する単一の API により、バックエンドのコーディングの手間を省きます。
-アプリケーションの視覚的なデータ分析、ログレビュー、アノテーションが可能です。
-Dify は LangChain と互換性があり、複数の LLM を徐々にサポートします:
 
-- GPT 3 (text-davinci-003)
-- GPT 3.5 Turbo(ChatGPT)
-- GPT-4
+**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。
 
-## クラウドサービスの利用
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
 
-[Dify.ai](https://dify.ai) をご覧ください
 
-## Community Edition のインストール
+**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。
 
-### システム要件
+**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。
 
-Dify をインストールする前に、お使いのマシンが以下の最低システム要件を満たしていることを確認してください:
+**5. エージェント機能**: 
+  LLM Function CallingやReActに基づくエージェントの定義が可能で、AIエージェント用のプリビルトまたはカスタムツールを追加できます。Difyには、Google検索、DALL·E、Stable Diffusion、WolframAlphaなどのAIエージェント用の50以上の組み込みツールが提供します。
 
-- CPU >= 1 Core
-- RAM >= 4GB
+**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。
 
-### クイックスタート
+**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。
 
-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、[Docker](https://docs.docker.com/get-docker/) と [Docker Compose](https://docs.docker.com/compose/install/) がお使いのマシンにインストールされていることを確認してください:
+
+## 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。[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。
 
 ```bash
 cd docker
+cp .env.example .env
 docker compose up -d
 ```
 
-実行後、ブラウザで [http://localhost/install](http://localhost/install) にアクセスし、初期化インストール作業を開始することができます。
+実行後、ブラウザで[http://localhost/install](http://localhost/install)にアクセスし、初期化プロセスを開始できます。
 
-### Helm Chart
+> 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。
 
-@BorisPolonsky に大感謝します。彼は Dify を Kubernetes 上にデプロイするための [Helm Chart](https://helm.sh/) バージョンを提供してくれました。
-デプロイ情報については、https://github.com/BorisPolonsky/dify-helm をご覧ください。
+## 次のステップ
 
-### 構成
+設定をカスタマイズする必要がある場合は、[.env.example](docker/.env.example) ファイルのコメントを参照し、`.env` ファイルの対応する値を更新してください。さらに、デプロイ環境や要件に応じて、`docker-compose.yaml` ファイル自体を調整する必要がある場合があります。たとえば、イメージのバージョン、ポートのマッピング、ボリュームのマウントなどを変更します。変更を加えた後は、`docker-compose up -d` を再実行してください。利用可能な環境変数の全一覧は、[こちら](https://docs.dify.ai/getting-started/install-self-hosted/environments)で確認できます。
 
-カスタマイズが必要な場合は、[docker-compose.yml](docker/docker-compose.yaml) ファイルのコメントを参照し、手動で環境設定をお願いします。変更後、再度 'docker-compose up -d' を実行してください。
+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。
 
-## ロードマップ
+- [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)
 
-開発中の機能:
+#### Terraformを使用したデプロイ
 
-- **データセット**, Notionやウェブページからのコンテンツ同期など、より多くのデータセットをサポートします
-テキスト、ウェブページ、さらには Notion コンテンツなど、より多くのデータセットをサポートする予定です。ユーザーは、自分のデータソースをもとに AI アプリケーションを構築することができます。
-- **プラグイン**, アプリケーションに ChatGPT プラグイン標準のプラグインを導入する、または Dify 制作のプラグインを利用する
-今後、ChatGPT 規格に準拠したプラグインや、ディファイ独自のプラグインを公開し、より多くの機能をアプリケーションで実現できるようにします。
-- **オープンソースモデル**, 例えばモデルプロバイダーとして Llama を採用したり、さらにファインチューニングを行う
-Llama のような優れたオープンソースモデルを、私たちのプラットフォームのモデルオプションとして提供したり、さらなる微調整のために使用したりすることで、協力していきます。
+##### Azure Global
+[terraform](https://www.terraform.io/) を使用して、AzureにDifyをワンクリックでデプロイします。
+- [nikawangのAzure Terraform](https://github.com/nikawang/dify-azure-terraform)
 
 
-## Q&A
+## 貢献
 
-**Q: Dify で何ができるのか？**
+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。
 
-A: Dify はシンプルでパワフルな LLM 開発・運用ツールです。商用グレードのアプリケーション、パーソナルアシスタントを構築するために使用することができます。独自のアプリケーションを開発したい場合、LangDifyGenius は OpenAI と統合する際のバックエンド作業を省き、視覚的な操作機能を提供し、GPT モデルを継続的に改善・訓練することが可能です。
 
-**Q: Dify を使って、自分のモデルを「トレーニング」するにはどうすればいいのでしょうか？**
+> 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。
 
-A: プロンプトエンジニアリング、コンテキスト拡張、ファインチューニングからなる価値あるアプリケーションです。プロンプトとプログラミング言語を組み合わせたハイブリッドプログラミングアプローチ（テンプレートエンジンのようなもの）で、長文の埋め込みやユーザー入力の YouTube 動画からの字幕取り込みなどを簡単に実現し、これらはすべて LLM が処理するコンテキストとして提出される予定です。また、アプリケーションの操作性を重視し、ユーザーがアプリケーションを使用する際に生成したデータを分析、アノテーション、継続的なトレーニングに利用できるようにしました。適切なツールがなければ、これらのステップに時間がかかることがあります。
+**貢献者**
 
-**Q: 自分でアプリケーションを作りたい場合、何を準備すればよいですか？**
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
 
-A: すでに OpenAI API Key をお持ちだと思いますが、お持ちでない場合はご登録ください。もし、すでにトレーニングのコンテキストとなるコンテンツをお持ちでしたら、それは素晴らしいことです！
+## コミュニティ & お問い合わせ
 
-**Q: インターフェイスにどの言語が使えますか？**
+* [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
+* [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。
 
-A: 現在、英語と中国語に対応しており、言語パックを寄贈することも可能です。
 
-## Star ヒストリー
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-## お問合せ
-
-ご質問、ご提案、パートナーシップに関するお問い合わせは、以下のチャンネルからお気軽にご連絡ください:
-
-- GitHub Repo で Issue や PR を提出する
-- [Discord](https://discord.gg/FngNHpbcY7) コミュニティで議論に参加する。
-- hello@dify.ai にメールを送信します
-
-私たちは、皆様のお手伝いをさせていただき、より楽しく、より便利な AI アプリケーションを一緒に作っていきたいと思っています！
-
-## コントリビュート
-
-適切なレビューを行うため、コミットへの直接アクセスが可能なコントリビュータを含むすべてのコードコントリビュータは、プルリクエストで提出し、マージされる前にコア開発チームによって承認される必要があります。
-
-私たちはすべてのプルリクエストを歓迎します！協力したい方は、[コントリビューションガイド](CONTRIBUTING.md) をチェックしてみてください。
-
-## 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。
-
-## 引用
-
-本ソフトウェアは、以下のオープンソースソフトウェアを使用しています:
-
-- Chase, H. (2022). LangChain [Computer software]. https://github.com/hwchase17/langchain
-- Liu, J. (2022). LlamaIndex [Computer software]. doi: 10.5281/zenodo.1234.
-
-詳しくは、各ソフトウェアの公式サイトまたはライセンス文をご参照ください。
 
 ## ライセンス
 
-このリポジトリは、[Dify Open Source License](LICENSE) のもとで利用できます。
+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。

README_KL.md

@@ -0,0 +1,244 @@
+![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">Self-hosting</a> ·
+  <a href="https://docs.dify.ai">Documentation</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Commercial enquiries</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>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+</p>
+
+#
+
+<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>
+
+**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
+
+
+
+**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).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**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, DALL·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 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>
+
+## 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. [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)
+
+
+
+## Quick Start
+> Before installing Dify, make sure your machine meets the following minimum system requirements:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4GB
+
+</br>
+
+The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
+
+```bash
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
+
+> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Next steps
+
+If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+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.
+
+- [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)
+
+#### Terraform atorlugu pilersitsineq
+
+##### Azure Global
+Atoruk [terraform](https://www.terraform.io/) Dify-mik Azure-mut ataatsikkut ikkussuilluarlugu.
+- [Azure Terraform atorlugu @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+
+## 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**
+
+<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).
+* [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.
+
+## 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.
+
+## License
+
+This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

README_KR.md

@@ -0,0 +1,235 @@
+![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://udify.app/chat/22L1zSxg6yW1cWQg">기업 문의 (영어만 가능)</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>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+
+</p>
+
+
+   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, DALL·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. 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
+cp .env.example .env
+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
+
+구성을 사용자 정의해야 하는 경우 [.env.example](docker/.env.example) 파일의 주석을 참조하고 `.env` 파일에서 해당 값을 업데이트하십시오. 또한 특정 배포 환경 및 요구 사항에 따라 `docker-compose.yaml` 파일 자체를 조정해야 할 수도 있습니다. 예를 들어 이미지 버전, 포트 매핑 또는 볼륨 마운트를 변경합니다. 변경 한 후 `docker-compose up -d`를 다시 실행하십시오. 사용 가능한 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/getting-started/install-self-hosted/environments)에서 찾을 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)
+
+#### Terraform을 사용한 배포
+
+##### Azure Global
+[terraform](https://www.terraform.io/)을 사용하여 Azure에 Dify를 원클릭으로 배포하세요.
+- [nikawang의 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
+
+## 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. 
+* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
+* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
+
+
+## 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.

README_TR.md

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

README_VI.md

@@ -0,0 +1,234 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Tự triển khai</a> ·
+  <a href="https://docs.dify.ai">Tài liệu</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yêu cầu doanh nghiệp</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat trên Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="theo dõi trên 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 tháng trước" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Vấn đề đã đóng" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Bài thảo luận" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+</p>
+
+
+Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
+</br> </br>
+
+**1. Quy trình làm việc**: 
+  Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Hỗ trợ mô hình toàn diện**: 
+  Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. IDE Prompt**: 
+  Giao diện trực quan để tạo prompt, so sánh hiệu suất mô hình và thêm các tính năng bổ sung như chuyển văn bản thành giọng nói cho một ứng dụng dựa trên trò chuyện. 
+
+**4. Mô hình RAG**: 
+  Khả năng RAG mở rộng bao gồm mọi thứ từ nhập tài liệu đến truy xuất, với hỗ trợ sẵn có cho việc trích xuất văn bản từ PDF, PPT và các định dạng tài liệu phổ biến khác.
+
+**5. Khả năng tác nhân**: 
+  Bạn có thể định nghĩa các tác nhân dựa trên LLM Function Calling hoặc ReAct, và thêm các công cụ được xây dựng sẵn hoặc tùy chỉnh cho tác nhân. Dify cung cấp hơn 50 công cụ tích hợp sẵn cho các tác nhân AI, như Google Search, DALL·E, Stable Diffusion và WolframAlpha.
+
+**6. LLMOps**: 
+  Giám sát và phân tích nhật ký và hiệu suất ứng dụng theo thời gian. Bạn có thể liên tục cải thiện prompt, bộ dữ liệu và mô hình dựa trên dữ liệu sản xuất và chú thích.
+
+**7. Backend-as-a-Service**: 
+  Tất cả các dịch vụ của Dify đều đi kèm với các API tương ứng, vì vậy bạn có thể dễ dàng tích hợp Dify vào logic kinh doanh của riêng mình.
+
+
+## So sánh tính năng
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Tính năng</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Phương pháp lập trình</td>
+    <td align="center">Hướng API + Ứng dụng</td>
+    <td align="center">Mã Python</td>
+    <td align="center">Hướng ứng dụng</td>
+    <td align="center">Hướng API</td>
+  </tr>
+  <tr>
+    <td align="center">LLMs được hỗ trợ</td>
+    <td align="center">Đa dạng phong phú</td>
+    <td align="center">Đa dạng phong phú</td>
+    <td align="center">Đa dạng phong phú</td>
+    <td align="center">Chỉ OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Engine</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Quy trình làm việc</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Khả năng quan sát</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Tính năng doanh nghiệp (SSO/Kiểm soát truy cập)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Triển khai cục bộ</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Sử dụng Dify
+
+- **Cloud </br>**
+Chúng tôi lưu trữ dịch vụ [Dify Cloud](https://dify.ai) cho bất kỳ ai muốn thử mà không cần cài đặt. Nó cung cấp tất cả các khả năng của phiên bản tự triển khai và bao gồm 200 lượt gọi GPT-4 miễn phí trong gói sandbox.
+
+- **Tự triển khai Dify Community Edition</br>**
+Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
+Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.
+
+- **Dify cho doanh nghiệp / tổ chức</br>**
+Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. </br>
+  > Đối với các công ty khởi nghiệp và doanh nghiệp nhỏ sử dụng AWS, hãy xem [Dify Premium trên AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) và triển khai nó vào AWS VPC của riêng bạn chỉ với một cú nhấp chuột. Đây là một AMI giá cả phải chăng với tùy chọn tạo ứng dụng với logo và thương hiệu tùy chỉnh.
+
+
+## Luôn cập nhật
+
+Yêu thích Dify trên GitHub và được thông báo ngay lập tức về các bản phát hành mới.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## Bắt đầu nhanh
+> Trước khi cài đặt Dify, hãy đảm bảo máy của bạn đáp ứng các yêu cầu hệ thống tối thiểu sau:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4GB
+
+</br>
+
+Cách dễ nhất để khởi động máy chủ Dify là chạy tệp [docker-compose.yml](docker/docker-compose.yaml) của chúng tôi. Trước khi chạy lệnh cài đặt, hãy đảm bảo rằng [Docker](https://docs.docker.com/get-docker/) và [Docker Compose](https://docs.docker.com/compose/install/) đã được cài đặt trên máy của bạn:
+
+```bash
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+Sau khi chạy, bạn có thể truy cập bảng điều khiển Dify trong trình duyệt của bạn tại [http://localhost/install](http://localhost/install) và bắt đầu quá trình khởi tạo.
+
+> Nếu bạn muốn đóng góp cho Dify hoặc phát triển thêm, hãy tham khảo [hướng dẫn triển khai từ mã nguồn](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) của chúng tôi
+
+## Các bước tiếp theo
+
+Nếu bạn cần tùy chỉnh cấu hình, vui lòng tham khảo các nhận xét trong tệp [.env.example](docker/.env.example) của chúng tôi và cập nhật các giá trị tương ứng trong tệp `.env` của bạn. Ngoài ra, bạn có thể cần điều chỉnh tệp `docker-compose.yaml`, chẳng hạn như thay đổi phiên bản hình ảnh, ánh xạ cổng hoặc gắn kết khối lượng, dựa trên môi trường triển khai cụ thể và yêu cầu của bạn. Sau khi thực hiện bất kỳ thay đổi nào, vui lòng chạy lại `docker-compose up -d`. Bạn có thể tìm thấy danh sách đầy đủ các biến môi trường có sẵn [tại đây](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có các [Helm Charts](https://helm.sh/) và tệp YAML do cộng đồng đóng góp cho phép Dify được triển khai trên Kubernetes.
+
+- [Helm Chart bởi @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart bởi @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [Tệp YAML bởi @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### Sử dụng Terraform để Triển khai
+
+##### Azure Global
+Triển khai Dify lên Azure chỉ với một cú nhấp chuột bằng cách sử dụng [terraform](https://www.terraform.io/).
+- [Azure Terraform bởi @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+## Đóng góp
+
+Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi. 
+Đồng thời, vui lòng xem xét hỗ trợ Dify bằng cách chia sẻ nó trên mạng xã hội và tại các sự kiện và hội nghị.
+
+
+> Chúng tôi đang tìm kiếm người đóng góp để giúp dịch Dify sang các ngôn ngữ khác ngoài tiếng Trung hoặc tiếng Anh. Nếu bạn quan tâm đến việc giúp đỡ, vui lòng xem [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) để biết thêm thông tin và để lại bình luận cho chúng tôi trong kênh `global-users` của [Máy chủ Cộng đồng Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi.
+
+**Người đóng góp**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Cộng đồng & liên hệ
+
+* [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
+* [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
+* [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
+* [Twitter](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
+
+## Lịch sử Yêu thích
+
+[![Biểu đồ Lịch sử Yêu thích](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+## Tiết lộ bảo mật
+
+Để bảo vệ quyền riêng tư của bạn, vui lòng tránh đăng các vấn đề bảo mật trên GitHub. Thay vào đó, hãy gửi câu hỏi của bạn đến security@dify.ai và chúng tôi sẽ cung cấp cho bạn câu trả lời chi tiết hơn.
+
+## Giấy phép
+
+Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.

api/.dockerignore

@@ -1,2 +1,14 @@
 .env
-storage/privkeys/*
+*.env.*
+
+storage/privkeys/*
+
+# Logs
+logs
+*.log*
+
+# jetbrains
+.idea
+
+# venv
+.venv

api/.env.example

@@ -1,6 +1,3 @@
-# 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`.
@@ -8,13 +5,20 @@ EDITION=SELF_HOSTED
 SECRET_KEY=
 
 # Console API base URL
-CONSOLE_URL=http://127.0.0.1:5001
+CONSOLE_API_URL=http://127.0.0.1:5001
+CONSOLE_WEB_URL=http://127.0.0.1:3000
 
 # Service API base URL
-API_URL=http://127.0.0.1:5001
+SERVICE_API_URL=http://127.0.0.1:5001
 
 # Web APP base URL
-APP_URL=http://127.0.0.1:3000
+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
@@ -35,38 +39,51 @@ DB_DATABASE=dify
 
 # Storage configuration
 # use for store upload files, private keys...
-# storage type: local, s3
+# storage type: local, s3, azure-blob, google-storage
 STORAGE_TYPE=local
 STORAGE_LOCAL_PATH=storage
+S3_USE_AWS_MANAGED_IAM=false
 S3_ENDPOINT=https://your-bucket-name.storage.s3.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_BASE64=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
+
+# OCI Storage configuration
+OCI_ENDPOINT=your-endpoint
+OCI_BUCKET_NAME=your-bucket-name
+OCI_ACCESS_KEY=your-access-key
+OCI_SECRET_KEY=your-secret-key
+OCI_REGION=your-region
 
 # CORS configuration
 WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 
-# Cookie configuration
-COOKIE_HTTPONLY=true
-COOKIE_SAMESITE=None
-COOKIE_SECURE=true
-
-# Session configuration
-SESSION_PERMANENT=true
-SESSION_USE_SIGNER=true
-
-## support redis, sqlalchemy
-SESSION_TYPE=redis
-
-# session redis configuration
-SESSION_REDIS_HOST=localhost
-SESSION_REDIS_PORT=6379
-SESSION_REDIS_PASSWORD=difyai123456
-SESSION_REDIS_DB=2
-
-# Vector database configuration, support: weaviate, qdrant
+# Vector database configuration, support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector
 VECTOR_STORE=weaviate
 
 # Weaviate configuration
@@ -75,9 +92,117 @@ WEAVIATE_API_KEY=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
 WEAVIATE_GRPC_ENABLED=false
 WEAVIATE_BATCH_SIZE=100
 
-# Qdrant configuration, use `path:` prefix for local mode or `https://your-qdrant-cluster-url.qdrant.io` for remote mode
-QDRANT_URL=path:storage/qdrant
-QDRANT_API_KEY=your-qdrant-api-key
+# Qdrant configuration, use `http://localhost:6333` for local mode or `https://your-qdrant-cluster-url.qdrant.io` for remote mode
+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
+MILVUS_PORT=19530
+MILVUS_USER=root
+MILVUS_PASSWORD=Milvus
+MILVUS_SECURE=false
+
+# MyScale configuration
+MYSCALE_HOST=127.0.0.1
+MYSCALE_PORT=8123
+MYSCALE_USER=default
+MYSCALE_PASSWORD=
+MYSCALE_DATABASE=default
+MYSCALE_FTS_PARAMS=
+
+# 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
+
+# ElasticSearch configuration
+ELASTICSEARCH_HOST=127.0.0.1
+ELASTICSEARCH_PORT=9200
+ELASTICSEARCH_USERNAME=elastic
+ELASTICSEARCH_PASSWORD=elastic
+
+# PGVECTO_RS configuration
+PGVECTO_RS_HOST=localhost
+PGVECTO_RS_PORT=5431
+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
+
+# AnalyticDB configuration
+ANALYTICDB_KEY_ID=your-ak
+ANALYTICDB_KEY_SECRET=your-sk
+ANALYTICDB_REGION_ID=cn-hangzhou
+ANALYTICDB_INSTANCE_ID=gp-ab123456
+ANALYTICDB_ACCOUNT=testaccount
+ANALYTICDB_PASSWORD=testpassword
+ANALYTICDB_NAMESPACE=dify
+ANALYTICDB_NAMESPACE_PASSWORD=difypassword
+
+# OpenSearch configuration
+OPENSEARCH_HOST=127.0.0.1
+OPENSEARCH_PORT=9200
+OPENSEARCH_USER=admin
+OPENSEARCH_PASSWORD=admin
+OPENSEARCH_SECURE=true
+
+# Upload configuration
+UPLOAD_FILE_SIZE_LIMIT=15
+UPLOAD_FILE_BATCH_LIMIT=5
+UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
+
+# Model Configuration
+MULTIMODAL_SEND_IMAGE_FORMAT=base64
+PROMPT_GENERATION_MAX_TOKENS=512
+
+# Mail configuration, support: resend, smtp
+MAIL_TYPE=
+MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
+RESEND_API_KEY=
+RESEND_API_URL=https://api.resend.com
+# smtp configuration
+SMTP_SERVER=smtp.gmail.com
+SMTP_PORT=465
+SMTP_USERNAME=123
+SMTP_PASSWORD=abc
+SMTP_USE_TLS=true
+SMTP_OPPORTUNISTIC_TLS=false
 
 # Sentry configuration
 SENTRY_DSN=
@@ -91,3 +216,64 @@ NOTION_INTEGRATION_TYPE=public
 NOTION_CLIENT_SECRET=you-client-secret
 NOTION_CLIENT_ID=you-client-id
 NOTION_INTERNAL_SECRET=you-internal-secret
+
+ETL_TYPE=dify
+UNSTRUCTURED_API_URL=
+UNSTRUCTURED_API_KEY=
+
+SSRF_PROXY_HTTP_URL=
+SSRF_PROXY_HTTPS_URL=
+SSRF_DEFAULT_MAX_RETRIES=3
+
+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
+HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576
+
+# 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
+APP_MAX_ACTIVE_REQUESTS=0
+
+
+# Celery beat configuration
+CELERY_BEAT_SCHEDULER_TIME=1
+
+# Position configuration
+POSITION_TOOL_PINS=
+POSITION_TOOL_INCLUDES=
+POSITION_TOOL_EXCLUDES=
+
+POSITION_PROVIDER_PINS=
+POSITION_PROVIDER_INCLUDES=
+POSITION_PROVIDER_EXCLUDES=

api/.idea/vcs.xml

@@ -0,0 +1,16 @@
+<?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>

api/.vscode/launch.json.example

@@ -0,0 +1,54 @@
+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Flask",
+            "type": "debugpy",
+            "request": "launch",
+            "python": "${workspaceFolder}/.venv/bin/python",
+            "cwd": "${workspaceFolder}",
+            "envFile": ".env",
+            "module": "flask",
+            "justMyCode": true,
+            "jinja": true,
+            "env": {
+                "FLASK_APP": "app.py",
+                "GEVENT_SUPPORT": "True"
+            },
+            "args": [
+                "run",
+                "--host=0.0.0.0",
+                "--port=5001"
+            ]
+        },
+        {
+            "name": "Python: Celery",
+            "type": "debugpy",
+            "request": "launch",
+            "python": "${workspaceFolder}/.venv/bin/python",
+            "cwd": "${workspaceFolder}",
+            "module": "celery",
+            "justMyCode": true,
+            "envFile": ".env",
+            "console": "integratedTerminal",
+            "env": {
+                "FLASK_APP": "app.py",
+                "FLASK_DEBUG": "1",
+                "GEVENT_SUPPORT": "True"
+            },
+            "args": [
+                "-A",
+                "app.celery",
+                "worker",
+                "-P",
+                "gevent",
+                "-c",
+                "1",
+                "--loglevel",
+                "info",
+                "-Q",
+                "dataset,generation,mail,ops_trace,app_deletion"
+            ]
+        },
+    ]
+}

api/Dockerfile

@@ -1,28 +1,72 @@
-FROM langgenius/base:1.0.0-bullseye-slim as langgenius-api
-
-LABEL maintainer="takatost@gmail.com"
-
-ENV FLASK_APP app.py
-ENV EDITION SELF_HOSTED
-ENV DEPLOY_ENV PRODUCTION
-ENV CONSOLE_URL http://127.0.0.1:5001
-ENV API_URL http://127.0.0.1:5001
-ENV APP_URL http://127.0.0.1:5001
-
-EXPOSE 5001
+# base image
+FROM python:3.10-slim-bookworm AS base
 
 WORKDIR /app/api
 
-COPY requirements.txt /app/api/requirements.txt
+# Install Poetry
+ENV POETRY_VERSION=1.8.3
+RUN pip install --no-cache-dir poetry==${POETRY_VERSION}
 
-RUN pip install -r requirements.txt
+# Configure Poetry
+ENV POETRY_CACHE_DIR=/tmp/poetry_cache
+ENV POETRY_NO_INTERACTION=1
+ENV POETRY_VIRTUALENVS_IN_PROJECT=true
+ENV POETRY_VIRTUALENVS_CREATE=true
+ENV POETRY_REQUESTS_TIMEOUT=15
 
+FROM base AS packages
+
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev
+
+# Install Python dependencies
+COPY pyproject.toml poetry.lock ./
+RUN poetry install --sync --no-cache --no-root
+
+# production stage
+FROM base AS production
+
+ENV FLASK_APP=app.py
+ENV EDITION=SELF_HOSTED
+ENV DEPLOY_ENV=PRODUCTION
+ENV CONSOLE_API_URL=http://127.0.0.1:5001
+ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
+ENV SERVICE_API_URL=http://127.0.0.1:5001
+ENV APP_WEB_URL=http://127.0.0.1:3000
+
+EXPOSE 5001
+
+# set timezone
+ENV TZ=UTC
+
+WORKDIR /app/api
+
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
+    && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
+    && apt-get update \
+    # For Security
+    && apt-get install -y --no-install-recommends zlib1g=1:1.3.dfsg+really1.3.1-1 expat=2.6.2-1 libldap-2.5-0=2.5.18+dfsg-2 perl=5.38.2-5 libsqlite3-0=3.46.0-1 \
+    && apt-get autoremove -y \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy Python environment and packages
+ENV VIRTUAL_ENV=/app/api/.venv
+COPY --from=packages ${VIRTUAL_ENV} ${VIRTUAL_ENV}
+ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
+
+# Download nltk data
+RUN python -c "import nltk; nltk.download('punkt')"
+
+# Copy source code
 COPY . /app/api/
 
+# Copy entrypoint
 COPY docker/entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh
 
-ARG COMMIT_SHA
-ENV COMMIT_SHA ${COMMIT_SHA}
 
-ENTRYPOINT ["/entrypoint.sh"]
+ARG COMMIT_SHA
+ENV COMMIT_SHA=${COMMIT_SHA}
+
+ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]

api/README.md

@@ -2,40 +2,88 @@
 
 ## Usage
 
+> [!IMPORTANT]
+> In the v0.6.12 release, we deprecated `pip` as the package management tool for Dify API Backend service and replaced it with `poetry`.
+
 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 up -d
+   cp middleware.env.example middleware.env
+   # change the profile to other vector database if you are not using weaviate
+   docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d
    cd ../api
    ```
+
 2. Copy `.env.example` to `.env`
 3. Generate a `SECRET_KEY` in the `.env` file.
 
-   ```bash
-   openssl rand -base64 42
+   ```bash for Linux
+   sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
    ```
-3.5 If you use annaconda, create a new environment and activate it
-   ```bash
-   conda create --name dify python=3.10
-   conda activate dify
+
+   ```bash for Mac
+   secret_key=$(openssl rand -base64 42)
+   sed -i '' "/^SECRET_KEY=/c\\
+   SECRET_KEY=${secret_key}" .env
    ```
-4. Install dependencies
+
+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.
+
+5. Install dependencies
+
    ```bash
-   pip install -r requirements.txt
+   poetry env use 3.10
+   poetry install
    ```
-5. Run migrate
+
+   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
-   flask db upgrade
+   poetry run python -m flask db upgrade
    ```
-6. Start backend:
+
+7. Start backend
+
    ```bash
-   flask run --host 0.0.0.0 --port=5001 --debug
+   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,ops_trace,app_deletion
+   ```
+
+   The started celery app handles the async tasks, e.g. dataset importing and documents indexing.
+
+## Testing
+
+1. Install dependencies for both the backend and the test environment
+
+   ```bash
+   poetry install --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
    ```
-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`, celery can do dataset importing and other async tasks.

api/app.py

@@ -1,206 +1,274 @@
-# -*- coding:utf-8 -*-
 import os
-from datetime import datetime
 
-if not os.environ.get("DEBUG") or os.environ.get("DEBUG").lower() != 'true':
+if os.environ.get("DEBUG", "false").lower() != "true":
     from gevent import monkey
+
     monkey.patch_all()
 
-import logging
+    import grpc.experimental.gevent
+
+    grpc.experimental.gevent.init_gevent()
+
 import json
+import logging
+import sys
 import threading
+import time
+import warnings
+from logging.handlers import RotatingFileHandler
 
-from flask import Flask, request, Response, session
-import flask_login
+from flask import Flask, Response, request
 from flask_cors import CORS
+from werkzeug.exceptions import Unauthorized
 
-from extensions import ext_session, ext_celery, ext_sentry, ext_redis, ext_login, ext_vector_store, ext_migrate, \
-    ext_database, ext_storage
-from extensions.ext_database import db
-from extensions.ext_login import login_manager
+import contexts
+from commands import register_commands
+from configs import dify_config
 
 # DO NOT REMOVE BELOW
-from models import model, account, dataset, web, task, source
 from events import event_handlers
+from extensions import (
+    ext_celery,
+    ext_code_based_extension,
+    ext_compress,
+    ext_database,
+    ext_hosting_provider,
+    ext_login,
+    ext_mail,
+    ext_migrate,
+    ext_redis,
+    ext_sentry,
+    ext_storage,
+)
+from extensions.ext_database import db
+from extensions.ext_login import login_manager
+from libs.passport import PassportService
+
+# TODO: Find a way to avoid importing models here
+from models import account, dataset, model, source, task, tool, tools, web
+from services.account_service import AccountService
+
 # DO NOT REMOVE ABOVE
 
-import core
-from config import Config, CloudEditionConfig
-from commands import register_commands
-from models.account import TenantAccountJoin
-from models.model import Account, EndUser, App
 
-import warnings
 warnings.simplefilter("ignore", ResourceWarning)
 
+# fix windows platform
+if os.name == "nt":
+    os.system('tzutil /s "UTC"')
+else:
+    os.environ["TZ"] = "UTC"
+    time.tzset()
+
 
 class DifyApp(Flask):
     pass
 
+
 # -------------
 # Configuration
 # -------------
 
 
-config_type = os.getenv('EDITION', default='SELF_HOSTED')  # ce edition first
+config_type = os.getenv("EDITION", default="SELF_HOSTED")  # ce edition first
+
 
 # ----------------------------
 # Application Factory Function
 # ----------------------------
 
 
-def create_app(test_config=None) -> Flask:
-    app = DifyApp(__name__)
+def create_flask_app_with_configs() -> Flask:
+    """
+    create a raw flask app
+    with configs loaded from .env file
+    """
+    dify_app = DifyApp(__name__)
+    dify_app.config.from_mapping(dify_config.model_dump())
 
-    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())
+    # populate configs into system environment variables
+    for key, value in dify_app.config.items():
+        if isinstance(value, str):
+            os.environ[key] = value
+        elif isinstance(value, int | float | bool):
+            os.environ[key] = str(value)
+        elif value is None:
+            os.environ[key] = ""
 
-    app.secret_key = app.config['SECRET_KEY']
+    return dify_app
 
-    logging.basicConfig(level=app.config.get('LOG_LEVEL', 'INFO'))
 
+def create_app() -> Flask:
+    app = create_flask_app_with_configs()
+
+    app.secret_key = app.config["SECRET_KEY"]
+
+    log_handlers = None
+    log_file = app.config.get("LOG_FILE")
+    if log_file:
+        log_dir = os.path.dirname(log_file)
+        os.makedirs(log_dir, exist_ok=True)
+        log_handlers = [
+            RotatingFileHandler(
+                filename=log_file,
+                maxBytes=1024 * 1024 * 1024,
+                backupCount=5,
+            ),
+            logging.StreamHandler(sys.stdout),
+        ]
+
+    logging.basicConfig(
+        level=app.config.get("LOG_LEVEL"),
+        format=app.config.get("LOG_FORMAT"),
+        datefmt=app.config.get("LOG_DATEFORMAT"),
+        handlers=log_handlers,
+        force=True,
+    )
+    log_tz = app.config.get("LOG_TZ")
+    if log_tz:
+        from datetime import datetime
+
+        import pytz
+
+        timezone = pytz.timezone(log_tz)
+
+        def time_converter(seconds):
+            return datetime.utcfromtimestamp(seconds).astimezone(timezone).timetuple()
+
+        for handler in logging.root.handlers:
+            handler.formatter.converter = time_converter
     initialize_extensions(app)
     register_blueprints(app)
     register_commands(app)
 
-    core.init_app(app)
-
     return app
 
 
 def initialize_extensions(app):
     # Since the application instance is now created, pass it to each Flask
     # extension instance to bind it to the Flask application instance (app)
+    ext_compress.init_app(app)
+    ext_code_based_extension.init()
     ext_database.init_app(app)
     ext_migrate.init(app, db)
     ext_redis.init_app(app)
-    ext_vector_store.init_app(app)
     ext_storage.init_app(app)
     ext_celery.init_app(app)
-    ext_session.init_app(app)
     ext_login.init_app(app)
+    ext_mail.init_app(app)
+    ext_hosting_provider.init_app(app)
     ext_sentry.init_app(app)
 
 
 # Flask-Login configuration
-@login_manager.user_loader
-def load_user(user_id):
-    """Load user based on the user_id."""
-    if request.blueprint == 'console':
-        # Check if the user_id contains a dot, indicating the old format
-        if '.' in user_id:
-            tenant_id, account_id = user_id.split('.')
-        else:
-            account_id = user_id
-
-        account = db.session.query(Account).filter(Account.id == account_id).first()
-
-        if account:
-            workspace_id = session.get('workspace_id')
-            if workspace_id:
-                tenant_account_join = db.session.query(TenantAccountJoin).filter(
-                    TenantAccountJoin.account_id == account.id,
-                    TenantAccountJoin.tenant_id == workspace_id
-                ).first()
-
-                if not tenant_account_join:
-                    tenant_account_join = db.session.query(TenantAccountJoin).filter(
-                        TenantAccountJoin.account_id == account.id).first()
-
-                    if tenant_account_join:
-                        account.current_tenant_id = tenant_account_join.tenant_id
-                        session['workspace_id'] = account.current_tenant_id
-                else:
-                    account.current_tenant_id = workspace_id
-            else:
-                tenant_account_join = db.session.query(TenantAccountJoin).filter(
-                    TenantAccountJoin.account_id == account.id).first()
-                if tenant_account_join:
-                    account.current_tenant_id = tenant_account_join.tenant_id
-                    session['workspace_id'] = account.current_tenant_id
-
-            account.last_active_at = datetime.utcnow()
-            db.session.commit()
-
-            # Log in the user with the updated user_id
-            flask_login.login_user(account, remember=True)
-
-        return account
-    else:
+@login_manager.request_loader
+def load_user_from_request(request_from_flask_login):
+    """Load user based on the request."""
+    if request.blueprint not in ["console", "inner_api"]:
         return None
+    # Check if the user_id contains a dot, indicating the old format
+    auth_header = request.headers.get("Authorization", "")
+    if not auth_header:
+        auth_token = request.args.get("_token")
+        if not auth_token:
+            raise Unauthorized("Invalid Authorization token.")
+    else:
+        if " " not in auth_header:
+            raise Unauthorized("Invalid Authorization header format. Expected 'Bearer <api-key>' format.")
+        auth_scheme, auth_token = auth_header.split(None, 1)
+        auth_scheme = auth_scheme.lower()
+        if auth_scheme != "bearer":
+            raise Unauthorized("Invalid Authorization header format. Expected 'Bearer <api-key>' format.")
+
+    decoded = PassportService().verify(auth_token)
+    user_id = decoded.get("user_id")
+
+    account = AccountService.load_logged_in_account(account_id=user_id, token=auth_token)
+    if account:
+        contexts.tenant_id.set(account.current_tenant_id)
+    return account
 
 
 @login_manager.unauthorized_handler
 def unauthorized_handler():
     """Handle unauthorized requests."""
-    return Response(json.dumps({
-        'code': 'unauthorized',
-        'message': "Unauthorized."
-    }), status=401, content_type="application/json")
+    return Response(
+        json.dumps({"code": "unauthorized", "message": "Unauthorized."}),
+        status=401,
+        content_type="application/json",
+    )
 
 
 # register blueprint routers
 def register_blueprints(app):
+    from controllers.console import bp as console_app_bp
+    from controllers.files import bp as files_bp
+    from controllers.inner_api import bp as inner_api_bp
     from controllers.service_api import bp as service_api_bp
     from controllers.web import bp as web_bp
-    from controllers.console import bp as console_app_bp
 
+    CORS(
+        service_api_bp,
+        allow_headers=["Content-Type", "Authorization", "X-App-Code"],
+        methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
+    )
     app.register_blueprint(service_api_bp)
 
-    CORS(web_bp,
-         resources={
-             r"/*": {"origins": app.config['WEB_API_CORS_ALLOW_ORIGINS']}},
-         supports_credentials=True,
-         allow_headers=['Content-Type', 'Authorization'],
-         methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH'],
-         expose_headers=['X-Version', 'X-Env']
-         )
+    CORS(
+        web_bp,
+        resources={r"/*": {"origins": app.config["WEB_API_CORS_ALLOW_ORIGINS"]}},
+        supports_credentials=True,
+        allow_headers=["Content-Type", "Authorization", "X-App-Code"],
+        methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
+        expose_headers=["X-Version", "X-Env"],
+    )
 
     app.register_blueprint(web_bp)
 
-    CORS(console_app_bp,
-         resources={
-             r"/*": {"origins": app.config['CONSOLE_CORS_ALLOW_ORIGINS']}},
-         supports_credentials=True,
-         allow_headers=['Content-Type', 'Authorization'],
-         methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH'],
-         expose_headers=['X-Version', 'X-Env']
-         )
+    CORS(
+        console_app_bp,
+        resources={r"/*": {"origins": app.config["CONSOLE_CORS_ALLOW_ORIGINS"]}},
+        supports_credentials=True,
+        allow_headers=["Content-Type", "Authorization"],
+        methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
+        expose_headers=["X-Version", "X-Env"],
+    )
 
     app.register_blueprint(console_app_bp)
 
+    CORS(files_bp, allow_headers=["Content-Type"], methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"])
+    app.register_blueprint(files_bp)
+
+    app.register_blueprint(inner_api_bp)
+
 
 # create app
 app = create_app()
 celery = app.extensions["celery"]
 
-
-if app.config['TESTING']:
+if app.config.get("TESTING"):
     print("App is running in TESTING mode")
 
 
 @app.after_request
 def after_request(response):
     """Add Version headers to the response."""
-    response.headers.add('X-Version', app.config['CURRENT_VERSION'])
-    response.headers.add('X-Env', app.config['DEPLOY_ENV'])
+    response.set_cookie("remember_token", "", expires=0)
+    response.headers.add("X-Version", app.config["CURRENT_VERSION"])
+    response.headers.add("X-Env", app.config["DEPLOY_ENV"])
     return response
 
 
-@app.route('/health')
+@app.route("/health")
 def health():
-    return Response(json.dumps({
-        'status': 'ok',
-        'version': app.config['CURRENT_VERSION']
-    }), status=200, content_type="application/json")
+    return Response(
+        json.dumps({"pid": os.getpid(), "status": "ok", "version": app.config["CURRENT_VERSION"]}),
+        status=200,
+        content_type="application/json",
+    )
 
 
-@app.route('/threads')
+@app.route("/threads")
 def threads():
     num_threads = threading.active_count()
     threads = threading.enumerate()
@@ -211,17 +279,34 @@ def threads():
         thread_id = thread.ident
         is_alive = thread.is_alive()
 
-        thread_list.append({
-            'name': thread_name,
-            'id': thread_id,
-            'is_alive': is_alive
-        })
+        thread_list.append(
+            {
+                "name": thread_name,
+                "id": thread_id,
+                "is_alive": is_alive,
+            }
+        )
 
     return {
-        'thread_num': num_threads,
-        'threads': thread_list
+        "pid": os.getpid(),
+        "thread_num": num_threads,
+        "threads": thread_list,
     }
 
 
-if __name__ == '__main__':
-    app.run(host='0.0.0.0', port=5001)
+@app.route("/db-pool-stat")
+def pool_stat():
+    engine = db.engine
+    return {
+        "pid": os.getpid(),
+        "pool_size": engine.pool.size(),
+        "checked_in_connections": engine.pool.checkedin(),
+        "checked_out_connections": engine.pool.checkedout(),
+        "overflow_connections": engine.pool.overflow(),
+        "connection_timeout": engine.pool.timeout(),
+        "recycle_time": db.engine.pool._recycle,
+    }
+
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=5001)

api/commands.py

@@ -1,41 +1,55 @@
-import datetime
-import random
-import string
+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 libs.password import password_pattern, valid_password, hash_password
-from libs.helper import email as email_validate
+from configs import dify_config
+from constants.languages import languages
+from core.rag.datasource.vdb.vector_factory import Vector
+from core.rag.datasource.vdb.vector_type import VectorType
+from core.rag.models.document import Document
+from events.app_event import app_was_created
 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 InvitationCode, Tenant
-from models.model import Account
-import secrets
-import base64
-
-from models.provider import Provider
+from models.account import Tenant
+from models.dataset import Dataset, DatasetCollectionBinding, DocumentSegment
+from models.dataset import Document as DatasetDocument
+from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
+from models.provider import Provider, ProviderModel
+from services.account_service import RegisterService, TenantService
 
 
-@click.command('reset-password', help='Reset the account password.')
-@click.option('--email', prompt=True, help='The email address of the account whose password you need to reset')
-@click.option('--new-password', prompt=True, help='the new password.')
-@click.option('--password-confirm', prompt=True, help='the new password confirm.')
+@click.command("reset-password", help="Reset the account password.")
+@click.option("--email", prompt=True, help="The email address of the account whose password you need to reset")
+@click.option("--new-password", prompt=True, help="the new password.")
+@click.option("--password-confirm", prompt=True, help="the new password confirm.")
 def reset_password(email, new_password, password_confirm):
+    """
+    Reset password of owner account
+    Only available in SELF_HOSTED mode
+    """
     if str(new_password).strip() != str(password_confirm).strip():
-        click.echo(click.style('sorry. The two passwords do not match.', fg='red'))
+        click.echo(click.style("sorry. The two passwords do not match.", fg="red"))
         return
-    account = db.session.query(Account). \
-        filter(Account.email == email). \
-        one_or_none()
+
+    account = db.session.query(Account).filter(Account.email == email).one_or_none()
+
     if not account:
-        click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
+        click.echo(click.style("sorry. the account: [{}] not exist .".format(email), fg="red"))
         return
+
     try:
         valid_password(new_password)
     except:
-        click.echo(
-            click.style('sorry. The passwords must match {} '.format(password_pattern), fg='red'))
+        click.echo(click.style("sorry. The passwords must match {} ".format(password_pattern), fg="red"))
         return
 
     # generate password salt
@@ -48,119 +62,616 @@ 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.')
-@click.option('--email', prompt=True, help='The old email address of the account whose email you need to reset')
-@click.option('--new-email', prompt=True, help='the new email.')
-@click.option('--email-confirm', prompt=True, help='the new email confirm.')
+@click.command("reset-email", help="Reset the account email.")
+@click.option("--email", prompt=True, help="The old email address of the account whose email you need to reset")
+@click.option("--new-email", prompt=True, help="the new email.")
+@click.option("--email-confirm", prompt=True, help="the new email confirm.")
 def reset_email(email, new_email, email_confirm):
+    """
+    Replace account email
+    :return:
+    """
     if str(new_email).strip() != str(email_confirm).strip():
-        click.echo(click.style('Sorry, new email and confirm email do not match.', fg='red'))
+        click.echo(click.style("Sorry, new email and confirm email do not match.", fg="red"))
         return
-    account = db.session.query(Account). \
-        filter(Account.email == email). \
-        one_or_none()
+
+    account = db.session.query(Account).filter(Account.email == email).one_or_none()
+
     if not account:
-        click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
+        click.echo(click.style("sorry. the account: [{}] not exist .".format(email), fg="red"))
         return
+
     try:
         email_validate(new_email)
     except:
-        click.echo(
-            click.style('sorry. {} is not a valid email. '.format(email), fg='red'))
+        click.echo(click.style("sorry. {} is not a valid email. ".format(email), fg="red"))
         return
 
     account.email = new_email
     db.session.commit()
-    click.echo(click.style('Congratulations!, email has been reset.', fg='green'))
+    click.echo(click.style("Congratulations!, email has been reset.", fg="green"))
 
 
-@click.command('reset-encrypt-key-pair', help='Reset the asymmetric key pair of workspace for encrypt LLM credentials. '
-                                              'After the reset, all LLM credentials will become invalid, '
-                                              'requiring re-entry.'
-                                              'Only support SELF_HOSTED mode.')
-@click.confirmation_option(prompt=click.style('Are you sure you want to reset encrypt key pair?'
-                                              ' this operation cannot be rolled back!', fg='red'))
+@click.command(
+    "reset-encrypt-key-pair",
+    help="Reset the asymmetric key pair of workspace for encrypt LLM credentials. "
+    "After the reset, all LLM credentials will become invalid, "
+    "requiring re-entry."
+    "Only support SELF_HOSTED mode.",
+)
+@click.confirmation_option(
+    prompt=click.style(
+        "Are you sure you want to reset encrypt key pair?" " this operation cannot be rolled back!", fg="red"
+    )
+)
 def reset_encrypt_key_pair():
-    if current_app.config['EDITION'] != 'SELF_HOSTED':
-        click.echo(click.style('Sorry, only support SELF_HOSTED mode.', fg='red'))
+    """
+    Reset the encrypted key pair of workspace for encrypt LLM credentials.
+    After the reset, all LLM credentials will become invalid, requiring re-entry.
+    Only support SELF_HOSTED mode.
+    """
+    if dify_config.EDITION != "SELF_HOSTED":
+        click.echo(click.style("Sorry, only support SELF_HOSTED mode.", 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
+    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.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').delete()
-    db.session.commit()
+        db.session.query(Provider).filter(Provider.provider_type == "custom", Provider.tenant_id == tenant.id).delete()
+        db.session.query(ProviderModel).filter(ProviderModel.tenant_id == tenant.id).delete()
+        db.session.commit()
 
-    click.echo(click.style('Congratulations! '
-                           'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
-
-
-@click.command('generate-invitation-codes', help='Generate invitation codes.')
-@click.option('--batch', help='The batch of invitation codes.')
-@click.option('--count', prompt=True, help='Invitation codes count.')
-def generate_invitation_codes(batch, count):
-    if not batch:
-        now = datetime.datetime.now()
-        batch = now.strftime('%Y%m%d%H%M%S')
-
-    if not count or int(count) <= 0:
-        click.echo(click.style('sorry. the count must be greater than 0.', fg='red'))
-        return
-
-    count = int(count)
-
-    click.echo('Start generate {} invitation codes for batch {}.'.format(count, batch))
-
-    codes = ''
-    for i in range(count):
-        code = generate_invitation_code()
-        invitation_code = InvitationCode(
-            code=code,
-            batch=batch
+        click.echo(
+            click.style(
+                "Congratulations! " "the asymmetric key pair of workspace {} has been reset.".format(tenant.id),
+                fg="green",
+            )
         )
-        db.session.add(invitation_code)
-        click.echo(code)
-
-        codes += code + "\n"
-    db.session.commit()
-
-    filename = 'storage/invitation-codes-{}.txt'.format(batch)
-
-    with open(filename, 'w') as f:
-        f.write(codes)
-
-    click.echo(click.style(
-        'Congratulations! Generated {} invitation codes for batch {} and saved to the file \'{}\''.format(count, batch,
-                                                                                                          filename),
-        fg='green'))
 
 
-def generate_invitation_code():
-    code = generate_upper_string()
-    while db.session.query(InvitationCode).filter(InvitationCode.code == code).count() > 0:
-        code = generate_upper_string()
-
-    return code
+@click.command("vdb-migrate", help="migrate vector db.")
+@click.option("--scope", default="all", prompt=False, help="The scope of vector database to migrate, Default is All.")
+def vdb_migrate(scope: str):
+    if scope in ["knowledge", "all"]:
+        migrate_knowledge_vector_database()
+    if scope in ["annotation", "all"]:
+        migrate_annotation_vector_database()
 
 
-def generate_upper_string():
-    letters_digits = string.ascii_uppercase + string.digits
-    result = ""
-    for i in range(8):
-        result += random.choice(letters_digits)
+def migrate_annotation_vector_database():
+    """
+    Migrate annotation datas to target vector database .
+    """
+    click.echo(click.style("Start migrate annotation data.", fg="green"))
+    create_count = 0
+    skipped_count = 0
+    total_count = 0
+    page = 1
+    while True:
+        try:
+            # get apps info
+            apps = (
+                db.session.query(App)
+                .filter(App.status == "normal")
+                .order_by(App.created_at.desc())
+                .paginate(page=page, per_page=50)
+            )
+        except NotFound:
+            break
 
-    return result
+        page += 1
+        for app in apps:
+            total_count = total_count + 1
+            click.echo(
+                f"Processing the {total_count} app {app.id}. " + f"{create_count} created, {skipped_count} skipped."
+            )
+            try:
+                click.echo("Create app annotation index: {}".format(app.id))
+                app_annotation_setting = (
+                    db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app.id).first()
+                )
+
+                if not app_annotation_setting:
+                    skipped_count = skipped_count + 1
+                    click.echo("App annotation setting is disabled: {}".format(app.id))
+                    continue
+                # get dataset_collection_binding info
+                dataset_collection_binding = (
+                    db.session.query(DatasetCollectionBinding)
+                    .filter(DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id)
+                    .first()
+                )
+                if not dataset_collection_binding:
+                    click.echo("App annotation collection binding is not exist: {}".format(app.id))
+                    continue
+                annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app.id).all()
+                dataset = Dataset(
+                    id=app.id,
+                    tenant_id=app.tenant_id,
+                    indexing_technique="high_quality",
+                    embedding_model_provider=dataset_collection_binding.provider_name,
+                    embedding_model=dataset_collection_binding.model_name,
+                    collection_binding_id=dataset_collection_binding.id,
+                )
+                documents = []
+                if annotations:
+                    for annotation in annotations:
+                        document = Document(
+                            page_content=annotation.question,
+                            metadata={"annotation_id": annotation.id, "app_id": app.id, "doc_id": annotation.id},
+                        )
+                        documents.append(document)
+
+                vector = Vector(dataset, attributes=["doc_id", "annotation_id", "app_id"])
+                click.echo(f"Start to migrate annotation, app_id: {app.id}.")
+
+                try:
+                    vector.delete()
+                    click.echo(click.style(f"Successfully delete vector index for app: {app.id}.", fg="green"))
+                except Exception as e:
+                    click.echo(click.style(f"Failed to delete vector index for app {app.id}.", fg="red"))
+                    raise e
+                if documents:
+                    try:
+                        click.echo(
+                            click.style(
+                                f"Start to created vector index with {len(documents)} annotations for app {app.id}.",
+                                fg="green",
+                            )
+                        )
+                        vector.create(documents)
+                        click.echo(click.style(f"Successfully created vector index for app {app.id}.", fg="green"))
+                    except Exception as e:
+                        click.echo(click.style(f"Failed to created vector index for app {app.id}.", fg="red"))
+                        raise e
+                click.echo(f"Successfully migrated app annotation {app.id}.")
+                create_count += 1
+            except Exception as e:
+                click.echo(
+                    click.style(
+                        "Create app annotation index error: {} {}".format(e.__class__.__name__, str(e)), fg="red"
+                    )
+                )
+                continue
+
+    click.echo(
+        click.style(
+            f"Congratulations! Create {create_count} app annotation indexes, and skipped {skipped_count} apps.",
+            fg="green",
+        )
+    )
+
+
+def migrate_knowledge_vector_database():
+    """
+    Migrate vector database datas to target vector database .
+    """
+    click.echo(click.style("Start migrate vector db.", fg="green"))
+    create_count = 0
+    skipped_count = 0
+    total_count = 0
+    vector_type = dify_config.VECTOR_STORE
+    page = 1
+    while True:
+        try:
+            datasets = (
+                db.session.query(Dataset)
+                .filter(Dataset.indexing_technique == "high_quality")
+                .order_by(Dataset.created_at.desc())
+                .paginate(page=page, per_page=50)
+            )
+        except NotFound:
+            break
+
+        page += 1
+        for dataset in datasets:
+            total_count = total_count + 1
+            click.echo(
+                f"Processing the {total_count} dataset {dataset.id}. "
+                + f"{create_count} created, {skipped_count} skipped."
+            )
+            try:
+                click.echo("Create dataset vdb index: {}".format(dataset.id))
+                if dataset.index_struct_dict:
+                    if dataset.index_struct_dict["type"] == vector_type:
+                        skipped_count = skipped_count + 1
+                        continue
+                collection_name = ""
+                if vector_type == VectorType.WEAVIATE:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.WEAVIATE, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.QDRANT:
+                    if dataset.collection_binding_id:
+                        dataset_collection_binding = (
+                            db.session.query(DatasetCollectionBinding)
+                            .filter(DatasetCollectionBinding.id == dataset.collection_binding_id)
+                            .one_or_none()
+                        )
+                        if dataset_collection_binding:
+                            collection_name = dataset_collection_binding.collection_name
+                        else:
+                            raise ValueError("Dataset Collection Bindings is not exist!")
+                    else:
+                        dataset_id = dataset.id
+                        collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.QDRANT, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+
+                elif vector_type == VectorType.MILVUS:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.MILVUS, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.RELYT:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": "relyt", "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.TENCENT:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.TENCENT, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.PGVECTOR:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": VectorType.PGVECTOR, "vector_store": {"class_prefix": collection_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.OPENSEARCH:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": VectorType.OPENSEARCH,
+                        "vector_store": {"class_prefix": collection_name},
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.ANALYTICDB:
+                    dataset_id = dataset.id
+                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {
+                        "type": VectorType.ANALYTICDB,
+                        "vector_store": {"class_prefix": collection_name},
+                    }
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                elif vector_type == VectorType.ELASTICSEARCH:
+                    dataset_id = dataset.id
+                    index_name = Dataset.gen_collection_name_by_id(dataset_id)
+                    index_struct_dict = {"type": "elasticsearch", "vector_store": {"class_prefix": index_name}}
+                    dataset.index_struct = json.dumps(index_struct_dict)
+                else:
+                    raise ValueError(f"Vector store {vector_type} is not supported.")
+
+                vector = Vector(dataset)
+                click.echo(f"Start to migrate dataset {dataset.id}.")
+
+                try:
+                    vector.delete()
+                    click.echo(
+                        click.style(
+                            f"Successfully delete vector index {collection_name} for dataset {dataset.id}.", fg="green"
+                        )
+                    )
+                except Exception as e:
+                    click.echo(
+                        click.style(
+                            f"Failed to delete vector index {collection_name} for dataset {dataset.id}.", fg="red"
+                        )
+                    )
+                    raise e
+
+                dataset_documents = (
+                    db.session.query(DatasetDocument)
+                    .filter(
+                        DatasetDocument.dataset_id == dataset.id,
+                        DatasetDocument.indexing_status == "completed",
+                        DatasetDocument.enabled == True,
+                        DatasetDocument.archived == False,
+                    )
+                    .all()
+                )
+
+                documents = []
+                segments_count = 0
+                for dataset_document in dataset_documents:
+                    segments = (
+                        db.session.query(DocumentSegment)
+                        .filter(
+                            DocumentSegment.document_id == dataset_document.id,
+                            DocumentSegment.status == "completed",
+                            DocumentSegment.enabled == True,
+                        )
+                        .all()
+                    )
+
+                    for segment in segments:
+                        document = Document(
+                            page_content=segment.content,
+                            metadata={
+                                "doc_id": segment.index_node_id,
+                                "doc_hash": segment.index_node_hash,
+                                "document_id": segment.document_id,
+                                "dataset_id": segment.dataset_id,
+                            },
+                        )
+
+                        documents.append(document)
+                        segments_count = segments_count + 1
+
+                if documents:
+                    try:
+                        click.echo(
+                            click.style(
+                                f"Start to created vector index with {len(documents)} documents of {segments_count} segments for dataset {dataset.id}.",
+                                fg="green",
+                            )
+                        )
+                        vector.create(documents)
+                        click.echo(
+                            click.style(f"Successfully created vector index for dataset {dataset.id}.", fg="green")
+                        )
+                    except Exception as e:
+                        click.echo(click.style(f"Failed to created vector index for dataset {dataset.id}.", fg="red"))
+                        raise e
+                db.session.add(dataset)
+                db.session.commit()
+                click.echo(f"Successfully migrated dataset {dataset.id}.")
+                create_count += 1
+            except Exception as e:
+                db.session.rollback()
+                click.echo(
+                    click.style("Create dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red")
+                )
+                continue
+
+    click.echo(
+        click.style(
+            f"Congratulations! Create {create_count} dataset indexes, and skipped {skipped_count} datasets.", fg="green"
+        )
+    )
+
+
+@click.command("convert-to-agent-apps", help="Convert Agent Assistant to Agent App.")
+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"))
+    vector_type = dify_config.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:
+            if dify_config.QDRANT_URL is None:
+                raise ValueError("Qdrant url is required.")
+            qdrant_config = QdrantConfig(
+                endpoint=dify_config.QDRANT_URL,
+                api_key=dify_config.QDRANT_API_KEY,
+                root_path=current_app.root_path,
+                timeout=dify_config.QDRANT_CLIENT_TIMEOUT,
+                grpc_port=dify_config.QDRANT_GRPC_PORT,
+                prefer_grpc=dify_config.QDRANT_GRPC_ENABLED,
+            )
+            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")
+
+
+@click.command("fix-app-site-missing", help="Fix app related site missing issue.")
+def fix_app_site_missing():
+    """
+    Fix app related site missing issue.
+    """
+    click.echo(click.style("Start fix app related site missing issue.", fg="green"))
+
+    failed_app_ids = []
+    while True:
+        sql = """select apps.id as id from apps left join sites on sites.app_id=apps.id
+where sites.id is null limit 1000"""
+        with db.engine.begin() as conn:
+            rs = conn.execute(db.text(sql))
+
+            processed_count = 0
+            for i in rs:
+                processed_count += 1
+                app_id = str(i.id)
+
+                if app_id in failed_app_ids:
+                    continue
+
+                try:
+                    app = db.session.query(App).filter(App.id == app_id).first()
+                    tenant = app.tenant
+                    if tenant:
+                        accounts = tenant.get_accounts()
+                        if not accounts:
+                            print("Fix app {} failed.".format(app.id))
+                            continue
+
+                        account = accounts[0]
+                        print("Fix app {} related site missing issue.".format(app.id))
+                        app_was_created.send(app, account=account)
+                except Exception as e:
+                    failed_app_ids.append(app_id)
+                    click.echo(click.style("Fix app {} related site missing issue failed!".format(app_id), fg="red"))
+                    logging.exception(f"Fix app related site missing issue failed, error: {e}")
+                    continue
+
+            if not processed_count:
+                break
+
+    click.echo(click.style("Congratulations! Fix app related site missing issue successful!", fg="green"))
 
 
 def register_commands(app):
     app.cli.add_command(reset_password)
     app.cli.add_command(reset_email)
-    app.cli.add_command(generate_invitation_codes)
     app.cli.add_command(reset_encrypt_key_pair)
+    app.cli.add_command(vdb_migrate)
+    app.cli.add_command(convert_to_agent_apps)
+    app.cli.add_command(add_qdrant_doc_id_index)
+    app.cli.add_command(create_tenant)
+    app.cli.add_command(upgrade_db)
+    app.cli.add_command(fix_app_site_missing)

api/config.py

@@ -1,224 +0,0 @@
-# -*- coding:utf-8 -*-
-import os
-from datetime import timedelta
-
-import dotenv
-
-from extensions.ext_database import db
-from extensions.ext_redis import redis_client
-
-dotenv.load_dotenv()
-
-DEFAULTS = {
-    'COOKIE_HTTPONLY': 'True',
-    'COOKIE_SECURE': 'True',
-    'COOKIE_SAMESITE': 'None',
-    'DB_USERNAME': 'postgres',
-    'DB_PASSWORD': '',
-    'DB_HOST': 'localhost',
-    'DB_PORT': '5432',
-    'DB_DATABASE': 'dify',
-    'REDIS_HOST': 'localhost',
-    'REDIS_PORT': '6379',
-    'REDIS_DB': '0',
-    'REDIS_USE_SSL': 'False',
-    'SESSION_REDIS_HOST': 'localhost',
-    'SESSION_REDIS_PORT': '6379',
-    'SESSION_REDIS_DB': '2',
-    'SESSION_REDIS_USE_SSL': 'False',
-    'OAUTH_REDIRECT_PATH': '/console/api/oauth/authorize',
-    'OAUTH_REDIRECT_INDEX_PATH': '/',
-    'CONSOLE_URL': 'https://cloud.dify.ai',
-    'API_URL': 'https://api.dify.ai',
-    'APP_URL': 'https://udify.app',
-    'STORAGE_TYPE': 'local',
-    'STORAGE_LOCAL_PATH': 'storage',
-    'CHECK_UPDATE_URL': 'https://updates.dify.ai',
-    'SESSION_TYPE': 'sqlalchemy',
-    'SESSION_PERMANENT': 'True',
-    'SESSION_USE_SIGNER': 'True',
-    'DEPLOY_ENV': 'PRODUCTION',
-    'SQLALCHEMY_POOL_SIZE': 30,
-    'SQLALCHEMY_ECHO': 'False',
-    'SENTRY_TRACES_SAMPLE_RATE': 1.0,
-    'SENTRY_PROFILES_SAMPLE_RATE': 1.0,
-    'WEAVIATE_GRPC_ENABLED': 'True',
-    'WEAVIATE_BATCH_SIZE': 100,
-    'CELERY_BACKEND': 'database',
-    'PDF_PREVIEW': 'True',
-    'LOG_LEVEL': 'INFO',
-    'DISABLE_PROVIDER_CONFIG_VALIDATION': 'False',
-    'DEFAULT_LLM_PROVIDER': 'openai'
-}
-
-
-def get_env(key):
-    return os.environ.get(key, DEFAULTS.get(key))
-
-
-def get_bool_env(key):
-    return get_env(key).lower() == 'true'
-
-
-def get_cors_allow_origins(env, default):
-    cors_allow_origins = []
-    if get_env(env):
-        for origin in get_env(env).split(','):
-            cors_allow_origins.append(origin)
-    else:
-        cors_allow_origins = [default]
-
-    return cors_allow_origins
-
-
-class Config:
-    """Application configuration class."""
-
-    def __init__(self):
-        # app settings
-        self.CONSOLE_URL = get_env('CONSOLE_URL')
-        self.API_URL = get_env('API_URL')
-        self.APP_URL = get_env('APP_URL')
-        self.CURRENT_VERSION = "0.3.5"
-        self.COMMIT_SHA = get_env('COMMIT_SHA')
-        self.EDITION = "SELF_HOSTED"
-        self.DEPLOY_ENV = get_env('DEPLOY_ENV')
-        self.TESTING = False
-        self.LOG_LEVEL = get_env('LOG_LEVEL')
-        self.PDF_PREVIEW = get_bool_env('PDF_PREVIEW')
-
-        # 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')
-
-        # cookie settings
-        self.REMEMBER_COOKIE_HTTPONLY = get_bool_env('COOKIE_HTTPONLY')
-        self.SESSION_COOKIE_HTTPONLY = get_bool_env('COOKIE_HTTPONLY')
-        self.REMEMBER_COOKIE_SAMESITE = get_env('COOKIE_SAMESITE')
-        self.SESSION_COOKIE_SAMESITE = get_env('COOKIE_SAMESITE')
-        self.REMEMBER_COOKIE_SECURE = get_bool_env('COOKIE_SECURE')
-        self.SESSION_COOKIE_SECURE = get_bool_env('COOKIE_SECURE')
-        self.PERMANENT_SESSION_LIFETIME = timedelta(days=7)
-
-        # session settings, only support sqlalchemy, redis
-        self.SESSION_TYPE = get_env('SESSION_TYPE')
-        self.SESSION_PERMANENT = get_bool_env('SESSION_PERMANENT')
-        self.SESSION_USE_SIGNER = get_bool_env('SESSION_USE_SIGNER')
-
-        # redis settings
-        self.REDIS_HOST = get_env('REDIS_HOST')
-        self.REDIS_PORT = get_env('REDIS_PORT')
-        self.REDIS_USERNAME = get_env('REDIS_USERNAME')
-        self.REDIS_PASSWORD = get_env('REDIS_PASSWORD')
-        self.REDIS_DB = get_env('REDIS_DB')
-        self.REDIS_USE_SSL = get_bool_env('REDIS_USE_SSL')
-
-        # session redis settings
-        self.SESSION_REDIS_HOST = get_env('SESSION_REDIS_HOST')
-        self.SESSION_REDIS_PORT = get_env('SESSION_REDIS_PORT')
-        self.SESSION_REDIS_USERNAME = get_env('SESSION_REDIS_USERNAME')
-        self.SESSION_REDIS_PASSWORD = get_env('SESSION_REDIS_PASSWORD')
-        self.SESSION_REDIS_DB = get_env('SESSION_REDIS_DB')
-        self.SESSION_REDIS_USE_SSL = get_bool_env('SESSION_REDIS_USE_SSL')
-
-        # storage settings
-        self.STORAGE_TYPE = get_env('STORAGE_TYPE')
-        self.STORAGE_LOCAL_PATH = get_env('STORAGE_LOCAL_PATH')
-        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')
-
-        # vector store settings, only support weaviate, qdrant
-        self.VECTOR_STORE = get_env('VECTOR_STORE')
-
-        # weaviate settings
-        self.WEAVIATE_ENDPOINT = get_env('WEAVIATE_ENDPOINT')
-        self.WEAVIATE_API_KEY = get_env('WEAVIATE_API_KEY')
-        self.WEAVIATE_GRPC_ENABLED = get_bool_env('WEAVIATE_GRPC_ENABLED')
-        self.WEAVIATE_BATCH_SIZE = int(get_env('WEAVIATE_BATCH_SIZE'))
-
-        # qdrant settings
-        self.QDRANT_URL = get_env('QDRANT_URL')
-        self.QDRANT_API_KEY = get_env('QDRANT_API_KEY')
-
-        # cors settings
-        self.CONSOLE_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
-            'CONSOLE_CORS_ALLOW_ORIGINS', self.CONSOLE_URL)
-        self.WEB_API_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
-            'WEB_API_CORS_ALLOW_ORIGINS', '*')
-
-        # sentry settings
-        self.SENTRY_DSN = get_env('SENTRY_DSN')
-        self.SENTRY_TRACES_SAMPLE_RATE = float(get_env('SENTRY_TRACES_SAMPLE_RATE'))
-        self.SENTRY_PROFILES_SAMPLE_RATE = float(get_env('SENTRY_PROFILES_SAMPLE_RATE'))
-
-        # check update url
-        self.CHECK_UPDATE_URL = get_env('CHECK_UPDATE_URL')
-
-        # database settings
-        db_credentials = {
-            key: get_env(key) for key in
-            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE']
-        }
-
-        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']}"
-        self.SQLALCHEMY_ENGINE_OPTIONS = {'pool_size': int(get_env('SQLALCHEMY_POOL_SIZE'))}
-
-        self.SQLALCHEMY_ECHO = get_bool_env('SQLALCHEMY_ECHO')
-
-        # celery settings
-        self.CELERY_BROKER_URL = get_env('CELERY_BROKER_URL')
-        self.CELERY_BACKEND = get_env('CELERY_BACKEND')
-        self.CELERY_RESULT_BACKEND = 'db+{}'.format(self.SQLALCHEMY_DATABASE_URI) \
-            if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
-        self.BROKER_USE_SSL = self.CELERY_BROKER_URL.startswith('rediss://')
-
-        # hosted provider credentials
-        self.OPENAI_API_KEY = get_env('OPENAI_API_KEY')
-
-        # By default it is False
-        # You could disable it for compatibility with certain OpenAPI providers
-        self.DISABLE_PROVIDER_CONFIG_VALIDATION = get_bool_env('DISABLE_PROVIDER_CONFIG_VALIDATION')
-
-        # For temp use only
-        # set default LLM provider, default is 'openai', support `azure_openai`
-        self.DEFAULT_LLM_PROVIDER = get_env('DEFAULT_LLM_PROVIDER')
-        # notion import setting
-        self.NOTION_CLIENT_ID = get_env('NOTION_CLIENT_ID')
-        self.NOTION_CLIENT_SECRET = get_env('NOTION_CLIENT_SECRET')
-        self.NOTION_INTEGRATION_TYPE = get_env('NOTION_INTEGRATION_TYPE')
-        self.NOTION_INTERNAL_SECRET = get_env('NOTION_INTERNAL_SECRET')
-
-
-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')
-
-
-class TestConfig(Config):
-
-    def __init__(self):
-        super().__init__()
-
-        self.EDITION = "SELF_HOSTED"
-        self.TESTING = True
-
-        db_credentials = {
-            key: get_env(key) for key in ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT']
-        }
-
-        # use a different database for testing: dify_test
-        self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/dify_test"

api/configs/__init__.py

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

api/configs/app_config.py

@@ -0,0 +1,67 @@
+from pydantic import Field, computed_field
+from pydantic_settings import SettingsConfigDict
+
+from configs.deploy import DeploymentConfig
+from configs.enterprise import EnterpriseFeatureConfig
+from configs.extra import ExtraServiceConfig
+from configs.feature import FeatureConfig
+from configs.middleware import MiddlewareConfig
+from configs.packaging import PackagingInfo
+
+
+class DifyConfig(
+    # Packaging info
+    PackagingInfo,
+    # Deployment configs
+    DeploymentConfig,
+    # Feature configs
+    FeatureConfig,
+    # Middleware configs
+    MiddlewareConfig,
+    # Extra service configs
+    ExtraServiceConfig,
+    # Enterprise feature configs
+    # **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
+    EnterpriseFeatureConfig,
+):
+    DEBUG: bool = Field(default=False, description='whether to enable debug mode.')
+
+    model_config = SettingsConfigDict(
+        # read from dotenv format config file
+        env_file='.env',
+        env_file_encoding='utf-8',
+        frozen=True,
+        # ignore extra attributes
+        extra='ignore',
+    )
+
+    CODE_MAX_NUMBER: int = 9223372036854775807
+    CODE_MIN_NUMBER: int = -9223372036854775808
+    CODE_MAX_DEPTH: int = 5
+    CODE_MAX_PRECISION: int = 20
+    CODE_MAX_STRING_LENGTH: int = 80000
+    CODE_MAX_STRING_ARRAY_LENGTH: int = 30
+    CODE_MAX_OBJECT_ARRAY_LENGTH: int = 30
+    CODE_MAX_NUMBER_ARRAY_LENGTH: int = 1000
+
+    HTTP_REQUEST_MAX_CONNECT_TIMEOUT: int = 300
+    HTTP_REQUEST_MAX_READ_TIMEOUT: int = 600
+    HTTP_REQUEST_MAX_WRITE_TIMEOUT: int = 600
+    HTTP_REQUEST_NODE_MAX_BINARY_SIZE: int = 1024 * 1024 * 10
+
+    @computed_field
+    def HTTP_REQUEST_NODE_READABLE_MAX_BINARY_SIZE(self) -> str:
+        return f'{self.HTTP_REQUEST_NODE_MAX_BINARY_SIZE / 1024 / 1024:.2f}MB'
+
+    HTTP_REQUEST_NODE_MAX_TEXT_SIZE: int = 1024 * 1024
+
+    @computed_field
+    def HTTP_REQUEST_NODE_READABLE_MAX_TEXT_SIZE(self) -> str:
+        return f'{self.HTTP_REQUEST_NODE_MAX_TEXT_SIZE / 1024 / 1024:.2f}MB'
+
+    SSRF_PROXY_HTTP_URL: str | None = None
+    SSRF_PROXY_HTTPS_URL: str | None = None
+
+    MODERATION_BUFFER_SIZE: int = Field(default=300, description='The buffer size for moderation.')
+
+    MAX_VARIABLE_SIZE: int = Field(default=5 * 1024, description='The maximum size of a variable. default is 5KB.')

api/configs/deploy/__init__.py

@@ -0,0 +1,27 @@
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class DeploymentConfig(BaseSettings):
+    """
+    Deployment configs
+    """
+    APPLICATION_NAME: str = Field(
+        description='application name',
+        default='langgenius/dify',
+    )
+
+    TESTING: bool = Field(
+        description='',
+        default=False,
+    )
+
+    EDITION: str = Field(
+        description='deployment edition',
+        default='SELF_HOSTED',
+    )
+
+    DEPLOY_ENV: str = Field(
+        description='deployment environment, default to PRODUCTION.',
+        default='PRODUCTION',
+    )

api/configs/enterprise/__init__.py

@@ -0,0 +1,19 @@
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class EnterpriseFeatureConfig(BaseSettings):
+    """
+    Enterprise feature configs.
+    **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
+    """
+    ENTERPRISE_ENABLED: bool = Field(
+        description='whether to enable enterprise features.'
+                    'Before using, please contact business@dify.ai by email to inquire about licensing matters.',
+        default=False,
+    )
+
+    CAN_REPLACE_LOGO: bool = Field(
+        description='whether to allow replacing enterprise logo.',
+        default=False,
+    )

api/configs/extra/__init__.py

@@ -0,0 +1,10 @@
+from configs.extra.notion_config import NotionConfig
+from configs.extra.sentry_config import SentryConfig
+
+
+class ExtraServiceConfig(
+    # place the configs in alphabet order
+    NotionConfig,
+    SentryConfig,
+):
+    pass

api/configs/extra/notion_config.py

@@ -0,0 +1,34 @@
+from typing import Optional
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class NotionConfig(BaseSettings):
+    """
+    Notion integration configs
+    """
+    NOTION_CLIENT_ID: Optional[str] = Field(
+        description='Notion client ID',
+        default=None,
+    )
+
+    NOTION_CLIENT_SECRET: Optional[str] = Field(
+        description='Notion client secret key',
+        default=None,
+    )
+
+    NOTION_INTEGRATION_TYPE: Optional[str] = Field(
+        description='Notion integration type, default to None, available values: internal.',
+        default=None,
+    )
+
+    NOTION_INTERNAL_SECRET: Optional[str] = Field(
+        description='Notion internal secret key',
+        default=None,
+    )
+
+    NOTION_INTEGRATION_TOKEN: Optional[str] = Field(
+        description='Notion integration token',
+        default=None,
+    )

api/configs/extra/sentry_config.py

@@ -0,0 +1,24 @@
+from typing import Optional
+
+from pydantic import Field, NonNegativeFloat
+from pydantic_settings import BaseSettings
+
+
+class SentryConfig(BaseSettings):
+    """
+    Sentry configs
+    """
+    SENTRY_DSN: Optional[str] = Field(
+        description='Sentry DSN',
+        default=None,
+    )
+
+    SENTRY_TRACES_SAMPLE_RATE: NonNegativeFloat = Field(
+        description='Sentry trace sample rate',
+        default=1.0,
+    )
+
+    SENTRY_PROFILES_SAMPLE_RATE: NonNegativeFloat = Field(
+        description='Sentry profiles sample rate',
+        default=1.0,
+    )

api/configs/feature/__init__.py

@@ -0,0 +1,533 @@
+from typing import Optional
+
+from pydantic import AliasChoices, Field, NonNegativeInt, PositiveInt, computed_field
+from pydantic_settings import BaseSettings
+
+from configs.feature.hosted_service import HostedServiceConfig
+
+
+class SecurityConfig(BaseSettings):
+    """
+    Secret Key configs
+    """
+    SECRET_KEY: Optional[str] = Field(
+        description='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.',
+        default=None,
+    )
+
+    RESET_PASSWORD_TOKEN_EXPIRY_HOURS: PositiveInt = Field(
+        description='Expiry time in hours for reset token',
+        default=24,
+    )
+
+
+class AppExecutionConfig(BaseSettings):
+    """
+    App Execution configs
+    """
+    APP_MAX_EXECUTION_TIME: PositiveInt = Field(
+        description='execution timeout in seconds for app execution',
+        default=1200,
+    )
+    APP_MAX_ACTIVE_REQUESTS: NonNegativeInt = Field(
+        description='max active request per app, 0 means unlimited',
+        default=0,
+    )
+
+
+class CodeExecutionSandboxConfig(BaseSettings):
+    """
+    Code Execution Sandbox configs
+    """
+    CODE_EXECUTION_ENDPOINT: str = Field(
+        description='endpoint URL of code execution servcie',
+        default='http://sandbox:8194',
+    )
+
+    CODE_EXECUTION_API_KEY: str = Field(
+        description='API key for code execution service',
+        default='dify-sandbox',
+    )
+
+
+class EndpointConfig(BaseSettings):
+    """
+    Module URL configs
+    """
+    CONSOLE_API_URL: str = Field(
+        description='The backend URL prefix of the console API.'
+                    'used to concatenate the login authorization callback or notion integration callback.',
+        default='',
+    )
+
+    CONSOLE_WEB_URL: str = Field(
+        description='The front-end URL prefix of the console web.'
+                    'used to concatenate some front-end addresses and for CORS configuration use.',
+        default='',
+    )
+
+    SERVICE_API_URL: str = Field(
+        description='Service API Url prefix.'
+                    'used to display Service API Base Url to the front-end.',
+        default='',
+    )
+
+    APP_WEB_URL: str = Field(
+        description='WebApp Url prefix.'
+                    'used to display WebAPP API Base Url to the front-end.',
+        default='',
+    )
+
+
+class FileAccessConfig(BaseSettings):
+    """
+    File Access configs
+    """
+    FILES_URL: str = Field(
+        description='File preview or download Url prefix.'
+                    ' used to display File preview or download Url to the front-end or as Multi-model inputs;'
+                    'Url is signed and has expiration time.',
+        validation_alias=AliasChoices('FILES_URL', 'CONSOLE_API_URL'),
+        alias_priority=1,
+        default='',
+    )
+
+    FILES_ACCESS_TIMEOUT: int = Field(
+        description='timeout in seconds for file accessing',
+        default=300,
+    )
+
+
+class FileUploadConfig(BaseSettings):
+    """
+    File Uploading configs
+    """
+    UPLOAD_FILE_SIZE_LIMIT: NonNegativeInt = Field(
+        description='size limit in Megabytes for uploading files',
+        default=15,
+    )
+
+    UPLOAD_FILE_BATCH_LIMIT: NonNegativeInt = Field(
+        description='batch size limit for uploading files',
+        default=5,
+    )
+
+    UPLOAD_IMAGE_FILE_SIZE_LIMIT: NonNegativeInt = Field(
+        description='image file size limit in Megabytes for uploading files',
+        default=10,
+    )
+
+    BATCH_UPLOAD_LIMIT: NonNegativeInt = Field(
+        description='',  # todo: to be clarified
+        default=20,
+    )
+
+
+class HttpConfig(BaseSettings):
+    """
+    HTTP configs
+    """
+    API_COMPRESSION_ENABLED: bool = Field(
+        description='whether to enable HTTP response compression of gzip',
+        default=False,
+    )
+
+    inner_CONSOLE_CORS_ALLOW_ORIGINS: str = Field(
+        description='',
+        validation_alias=AliasChoices('CONSOLE_CORS_ALLOW_ORIGINS', 'CONSOLE_WEB_URL'),
+        default='',
+    )
+
+    @computed_field
+    @property
+    def CONSOLE_CORS_ALLOW_ORIGINS(self) -> list[str]:
+        return self.inner_CONSOLE_CORS_ALLOW_ORIGINS.split(',')
+
+    inner_WEB_API_CORS_ALLOW_ORIGINS: str = Field(
+        description='',
+        validation_alias=AliasChoices('WEB_API_CORS_ALLOW_ORIGINS'),
+        default='*',
+    )
+
+    @computed_field
+    @property
+    def WEB_API_CORS_ALLOW_ORIGINS(self) -> list[str]:
+        return self.inner_WEB_API_CORS_ALLOW_ORIGINS.split(',')
+
+
+class InnerAPIConfig(BaseSettings):
+    """
+    Inner API configs
+    """
+    INNER_API: bool = Field(
+        description='whether to enable the inner API',
+        default=False,
+    )
+
+    INNER_API_KEY: Optional[str] = Field(
+        description='The inner API key is used to authenticate the inner API',
+        default=None,
+    )
+
+
+class LoggingConfig(BaseSettings):
+    """
+    Logging configs
+    """
+
+    LOG_LEVEL: str = Field(
+        description='Log output level, default to INFO.'
+                    'It is recommended to set it to ERROR for production.',
+        default='INFO',
+    )
+
+    LOG_FILE: Optional[str] = Field(
+        description='logging output file path',
+        default=None,
+    )
+
+    LOG_FORMAT: str = Field(
+        description='log format',
+        default='%(asctime)s.%(msecs)03d %(levelname)s [%(threadName)s] [%(filename)s:%(lineno)d] - %(message)s',
+    )
+
+    LOG_DATEFORMAT: Optional[str] = Field(
+        description='log date format',
+        default=None,
+    )
+
+    LOG_TZ: Optional[str] = Field(
+        description='specify log timezone, eg: America/New_York',
+        default=None,
+    )
+
+
+class ModelLoadBalanceConfig(BaseSettings):
+    """
+    Model load balance configs
+    """
+    MODEL_LB_ENABLED: bool = Field(
+        description='whether to enable model load balancing',
+        default=False,
+    )
+
+
+class BillingConfig(BaseSettings):
+    """
+    Platform Billing Configurations
+    """
+    BILLING_ENABLED: bool = Field(
+        description='whether to enable billing',
+        default=False,
+    )
+
+
+class UpdateConfig(BaseSettings):
+    """
+    Update configs
+    """
+    CHECK_UPDATE_URL: str = Field(
+        description='url for checking updates',
+        default='https://updates.dify.ai',
+    )
+
+
+class WorkflowConfig(BaseSettings):
+    """
+    Workflow feature configs
+    """
+
+    WORKFLOW_MAX_EXECUTION_STEPS: PositiveInt = Field(
+        description='max execution steps in single workflow execution',
+        default=500,
+    )
+
+    WORKFLOW_MAX_EXECUTION_TIME: PositiveInt = Field(
+        description='max execution time in seconds in single workflow execution',
+        default=1200,
+    )
+
+    WORKFLOW_CALL_MAX_DEPTH: PositiveInt = Field(
+        description='max depth of calling in single workflow execution',
+        default=5,
+    )
+
+
+class OAuthConfig(BaseSettings):
+    """
+    oauth configs
+    """
+    OAUTH_REDIRECT_PATH: str = Field(
+        description='redirect path for OAuth',
+        default='/console/api/oauth/authorize',
+    )
+
+    GITHUB_CLIENT_ID: Optional[str] = Field(
+        description='GitHub client id for OAuth',
+        default=None,
+    )
+
+    GITHUB_CLIENT_SECRET: Optional[str] = Field(
+        description='GitHub client secret key for OAuth',
+        default=None,
+    )
+
+    GOOGLE_CLIENT_ID: Optional[str] = Field(
+        description='Google client id for OAuth',
+        default=None,
+    )
+
+    GOOGLE_CLIENT_SECRET: Optional[str] = Field(
+        description='Google client secret key for OAuth',
+        default=None,
+    )
+
+
+class ModerationConfig(BaseSettings):
+    """
+    Moderation in app configs.
+    """
+
+    # todo: to be clarified in usage and unit
+    OUTPUT_MODERATION_BUFFER_SIZE: PositiveInt = Field(
+        description='buffer size for moderation',
+        default=300,
+    )
+
+
+class ToolConfig(BaseSettings):
+    """
+    Tool configs
+    """
+
+    TOOL_ICON_CACHE_MAX_AGE: PositiveInt = Field(
+        description='max age in seconds for tool icon caching',
+        default=3600,
+    )
+
+
+class MailConfig(BaseSettings):
+    """
+    Mail Configurations
+    """
+
+    MAIL_TYPE: Optional[str] = Field(
+        description='Mail provider type name, default to None, availabile values are `smtp` and `resend`.',
+        default=None,
+    )
+
+    MAIL_DEFAULT_SEND_FROM: Optional[str] = Field(
+        description='default email address for sending from ',
+        default=None,
+    )
+
+    RESEND_API_KEY: Optional[str] = Field(
+        description='API key for Resend',
+        default=None,
+    )
+
+    RESEND_API_URL: Optional[str] = Field(
+        description='API URL for Resend',
+        default=None,
+    )
+
+    SMTP_SERVER: Optional[str] = Field(
+        description='smtp server host',
+        default=None,
+    )
+
+    SMTP_PORT: Optional[int] = Field(
+        description='smtp server port',
+        default=465,
+    )
+
+    SMTP_USERNAME: Optional[str] = Field(
+        description='smtp server username',
+        default=None,
+    )
+
+    SMTP_PASSWORD: Optional[str] = Field(
+        description='smtp server password',
+        default=None,
+    )
+
+    SMTP_USE_TLS: bool = Field(
+        description='whether to use TLS connection to smtp server',
+        default=False,
+    )
+
+    SMTP_OPPORTUNISTIC_TLS: bool = Field(
+        description='whether to use opportunistic TLS connection to smtp server',
+        default=False,
+    )
+
+
+class RagEtlConfig(BaseSettings):
+    """
+    RAG ETL Configurations.
+    """
+
+    ETL_TYPE: str = Field(
+        description='RAG ETL type name, default to `dify`, available values are `dify` and `Unstructured`. ',
+        default='dify',
+    )
+
+    KEYWORD_DATA_SOURCE_TYPE: str = Field(
+        description='source type for keyword data, default to `database`, available values are `database` .',
+        default='database',
+    )
+
+    UNSTRUCTURED_API_URL: Optional[str] = Field(
+        description='API URL for Unstructured',
+        default=None,
+    )
+
+    UNSTRUCTURED_API_KEY: Optional[str] = Field(
+        description='API key for Unstructured',
+        default=None,
+    )
+
+
+class DataSetConfig(BaseSettings):
+    """
+    Dataset configs
+    """
+
+    CLEAN_DAY_SETTING: PositiveInt = Field(
+        description='interval in days for cleaning up dataset',
+        default=30,
+    )
+
+    DATASET_OPERATOR_ENABLED: bool = Field(
+        description='whether to enable dataset operator',
+        default=False,
+    )
+
+
+class WorkspaceConfig(BaseSettings):
+    """
+    Workspace configs
+    """
+
+    INVITE_EXPIRY_HOURS: PositiveInt = Field(
+        description='workspaces invitation expiration in hours',
+        default=72,
+    )
+
+
+class IndexingConfig(BaseSettings):
+    """
+    Indexing configs.
+    """
+
+    INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: PositiveInt = Field(
+        description='max segmentation token length for indexing',
+        default=1000,
+    )
+
+
+class ImageFormatConfig(BaseSettings):
+    MULTIMODAL_SEND_IMAGE_FORMAT: str = Field(
+        description='multi model send image format, support base64, url, default is base64',
+        default='base64',
+    )
+
+
+class CeleryBeatConfig(BaseSettings):
+    CELERY_BEAT_SCHEDULER_TIME: int = Field(
+        description='the time of the celery scheduler, default to 1 day',
+        default=1,
+    )
+
+
+class PositionConfig(BaseSettings):
+
+    POSITION_PROVIDER_PINS: str = Field(
+        description='The heads of model providers',
+        default='',
+    )
+
+    POSITION_PROVIDER_INCLUDES: str = Field(
+        description='The included model providers',
+        default='',
+    )
+
+    POSITION_PROVIDER_EXCLUDES: str = Field(
+        description='The excluded model providers',
+        default='',
+    )
+
+    POSITION_TOOL_PINS: str = Field(
+        description='The heads of tools',
+        default='',
+    )
+
+    POSITION_TOOL_INCLUDES: str = Field(
+        description='The included tools',
+        default='',
+    )
+
+    POSITION_TOOL_EXCLUDES: str = Field(
+        description='The excluded tools',
+        default='',
+    )
+
+    @computed_field
+    def POSITION_PROVIDER_PINS_LIST(self) -> list[str]:
+        return [item.strip() for item in self.POSITION_PROVIDER_PINS.split(',') if item.strip() != '']
+
+    @computed_field
+    def POSITION_PROVIDER_INCLUDES_SET(self) -> set[str]:
+        return {item.strip() for item in self.POSITION_PROVIDER_INCLUDES.split(',') if item.strip() != ''}
+
+    @computed_field
+    def POSITION_PROVIDER_EXCLUDES_SET(self) -> set[str]:
+        return {item.strip() for item in self.POSITION_PROVIDER_EXCLUDES.split(',') if item.strip() != ''}
+
+    @computed_field
+    def POSITION_TOOL_PINS_LIST(self) -> list[str]:
+        return [item.strip() for item in self.POSITION_TOOL_PINS.split(',') if item.strip() != '']
+
+    @computed_field
+    def POSITION_TOOL_INCLUDES_SET(self) -> set[str]:
+        return {item.strip() for item in self.POSITION_TOOL_INCLUDES.split(',') if item.strip() != ''}
+
+    @computed_field
+    def POSITION_TOOL_EXCLUDES_SET(self) -> set[str]:
+        return {item.strip() for item in self.POSITION_TOOL_EXCLUDES.split(',') if item.strip() != ''}
+
+
+class FeatureConfig(
+    # place the configs in alphabet order
+    AppExecutionConfig,
+    BillingConfig,
+    CodeExecutionSandboxConfig,
+    DataSetConfig,
+    EndpointConfig,
+    FileAccessConfig,
+    FileUploadConfig,
+    HttpConfig,
+    ImageFormatConfig,
+    InnerAPIConfig,
+    IndexingConfig,
+    LoggingConfig,
+    MailConfig,
+    ModelLoadBalanceConfig,
+    ModerationConfig,
+    OAuthConfig,
+    RagEtlConfig,
+    SecurityConfig,
+    ToolConfig,
+    UpdateConfig,
+    WorkflowConfig,
+    WorkspaceConfig,
+    PositionConfig,
+
+    # hosted services config
+    HostedServiceConfig,
+    CeleryBeatConfig,
+):
+    pass

api/configs/feature/hosted_service/__init__.py

@@ -0,0 +1,209 @@
+from typing import Optional
+
+from pydantic import Field, NonNegativeInt
+from pydantic_settings import BaseSettings
+
+
+class HostedOpenAiConfig(BaseSettings):
+    """
+    Hosted OpenAI service config
+    """
+
+    HOSTED_OPENAI_API_KEY: Optional[str] = Field(
+        description='',
+        default=None,
+    )
+
+    HOSTED_OPENAI_API_BASE: Optional[str] = Field(
+        description='',
+        default=None,
+    )
+
+    HOSTED_OPENAI_API_ORGANIZATION: Optional[str] = Field(
+        description='',
+        default=None,
+    )
+
+    HOSTED_OPENAI_TRIAL_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+    HOSTED_OPENAI_TRIAL_MODELS: str = Field(
+        description='',
+        default='gpt-3.5-turbo,'
+                'gpt-3.5-turbo-1106,'
+                'gpt-3.5-turbo-instruct,'
+                'gpt-3.5-turbo-16k,'
+                'gpt-3.5-turbo-16k-0613,'
+                'gpt-3.5-turbo-0613,'
+                'gpt-3.5-turbo-0125,'
+                'text-davinci-003',
+    )
+
+    HOSTED_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
+        description='',
+        default=200,
+    )
+
+    HOSTED_OPENAI_PAID_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+    HOSTED_OPENAI_PAID_MODELS: str = Field(
+        description='',
+        default='gpt-4,'
+                'gpt-4-turbo-preview,'
+                'gpt-4-turbo-2024-04-09,'
+                'gpt-4-1106-preview,'
+                'gpt-4-0125-preview,'
+                'gpt-3.5-turbo,'
+                'gpt-3.5-turbo-16k,'
+                'gpt-3.5-turbo-16k-0613,'
+                'gpt-3.5-turbo-1106,'
+                'gpt-3.5-turbo-0613,'
+                'gpt-3.5-turbo-0125,'
+                'gpt-3.5-turbo-instruct,'
+                'text-davinci-003',
+    )
+
+
+class HostedAzureOpenAiConfig(BaseSettings):
+    """
+    Hosted OpenAI service config
+    """
+
+    HOSTED_AZURE_OPENAI_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+    HOSTED_AZURE_OPENAI_API_KEY: Optional[str] = Field(
+        description='',
+        default=None,
+    )
+
+    HOSTED_AZURE_OPENAI_API_BASE: Optional[str] = Field(
+        description='',
+        default=None,
+    )
+
+    HOSTED_AZURE_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
+        description='',
+        default=200,
+    )
+
+
+class HostedAnthropicConfig(BaseSettings):
+    """
+    Hosted Azure OpenAI service config
+    """
+
+    HOSTED_ANTHROPIC_API_BASE: Optional[str] = Field(
+        description='',
+        default=None,
+    )
+
+    HOSTED_ANTHROPIC_API_KEY: Optional[str] = Field(
+        description='',
+        default=None,
+    )
+
+    HOSTED_ANTHROPIC_TRIAL_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+    HOSTED_ANTHROPIC_QUOTA_LIMIT: NonNegativeInt = Field(
+        description='',
+        default=600000,
+    )
+
+    HOSTED_ANTHROPIC_PAID_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+
+class HostedMinmaxConfig(BaseSettings):
+    """
+    Hosted Minmax service config
+    """
+
+    HOSTED_MINIMAX_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+
+class HostedSparkConfig(BaseSettings):
+    """
+    Hosted Spark service config
+    """
+
+    HOSTED_SPARK_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+
+class HostedZhipuAIConfig(BaseSettings):
+    """
+    Hosted Minmax service config
+    """
+
+    HOSTED_ZHIPUAI_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+
+class HostedModerationConfig(BaseSettings):
+    """
+    Hosted Moderation service config
+    """
+
+    HOSTED_MODERATION_ENABLED: bool = Field(
+        description='',
+        default=False,
+    )
+
+    HOSTED_MODERATION_PROVIDERS: str = Field(
+        description='',
+        default='',
+    )
+
+
+class HostedFetchAppTemplateConfig(BaseSettings):
+    """
+    Hosted Moderation service config
+    """
+
+    HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field(
+        description='the mode for fetching app templates,'
+                    ' default to remote,'
+                    ' available values: remote, db, builtin',
+        default='remote',
+    )
+
+    HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN: str = Field(
+        description='the domain for fetching remote app templates',
+        default='https://tmpl.dify.ai',
+    )
+
+
+class HostedServiceConfig(
+    # place the configs in alphabet order
+    HostedAnthropicConfig,
+    HostedAzureOpenAiConfig,
+    HostedFetchAppTemplateConfig,
+    HostedMinmaxConfig,
+    HostedOpenAiConfig,
+    HostedSparkConfig,
+    HostedZhipuAIConfig,
+
+    # moderation
+    HostedModerationConfig,
+):
+    pass

api/configs/middleware/__init__.py

@@ -0,0 +1,203 @@
+from typing import Any, Optional
+from urllib.parse import quote_plus
+
+from pydantic import Field, NonNegativeInt, PositiveInt, computed_field
+from pydantic_settings import BaseSettings
+
+from configs.middleware.cache.redis_config import RedisConfig
+from configs.middleware.storage.aliyun_oss_storage_config import AliyunOSSStorageConfig
+from configs.middleware.storage.amazon_s3_storage_config import S3StorageConfig
+from configs.middleware.storage.azure_blob_storage_config import AzureBlobStorageConfig
+from configs.middleware.storage.google_cloud_storage_config import GoogleCloudStorageConfig
+from configs.middleware.storage.oci_storage_config import OCIStorageConfig
+from configs.middleware.storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
+from configs.middleware.vdb.analyticdb_config import AnalyticdbConfig
+from configs.middleware.vdb.chroma_config import ChromaConfig
+from configs.middleware.vdb.milvus_config import MilvusConfig
+from configs.middleware.vdb.myscale_config import MyScaleConfig
+from configs.middleware.vdb.opensearch_config import OpenSearchConfig
+from configs.middleware.vdb.oracle_config import OracleConfig
+from configs.middleware.vdb.pgvector_config import PGVectorConfig
+from configs.middleware.vdb.pgvectors_config import PGVectoRSConfig
+from configs.middleware.vdb.qdrant_config import QdrantConfig
+from configs.middleware.vdb.relyt_config import RelytConfig
+from configs.middleware.vdb.tencent_vector_config import TencentVectorDBConfig
+from configs.middleware.vdb.tidb_vector_config import TiDBVectorConfig
+from configs.middleware.vdb.weaviate_config import WeaviateConfig
+
+
+class StorageConfig(BaseSettings):
+    STORAGE_TYPE: str = Field(
+        description='storage type,'
+                    ' default to `local`,'
+                    ' available values are `local`, `s3`, `azure-blob`, `aliyun-oss`, `google-storage`.',
+        default='local',
+    )
+
+    STORAGE_LOCAL_PATH: str = Field(
+        description='local storage path',
+        default='storage',
+    )
+
+
+class VectorStoreConfig(BaseSettings):
+    VECTOR_STORE: Optional[str] = Field(
+        description='vector store type',
+        default=None,
+    )
+
+
+class KeywordStoreConfig(BaseSettings):
+    KEYWORD_STORE: str = Field(
+        description='keyword store type',
+        default='jieba',
+    )
+
+
+class DatabaseConfig:
+    DB_HOST: str = Field(
+        description='db host',
+        default='localhost',
+    )
+
+    DB_PORT: PositiveInt = Field(
+        description='db port',
+        default=5432,
+    )
+
+    DB_USERNAME: str = Field(
+        description='db username',
+        default='postgres',
+    )
+
+    DB_PASSWORD: str = Field(
+        description='db password',
+        default='',
+    )
+
+    DB_DATABASE: str = Field(
+        description='db database',
+        default='dify',
+    )
+
+    DB_CHARSET: str = Field(
+        description='db charset',
+        default='',
+    )
+
+    DB_EXTRAS: str = Field(
+        description='db extras options. Example: keepalives_idle=60&keepalives=1',
+        default='',
+    )
+
+    SQLALCHEMY_DATABASE_URI_SCHEME: str = Field(
+        description='db uri scheme',
+        default='postgresql',
+    )
+
+    @computed_field
+    @property
+    def SQLALCHEMY_DATABASE_URI(self) -> str:
+        db_extras = (
+            f"{self.DB_EXTRAS}&client_encoding={self.DB_CHARSET}"
+            if self.DB_CHARSET
+            else self.DB_EXTRAS
+        ).strip("&")
+        db_extras = f"?{db_extras}" if db_extras else ""
+        return (f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://"
+                f"{quote_plus(self.DB_USERNAME)}:{quote_plus(self.DB_PASSWORD)}@{self.DB_HOST}:{self.DB_PORT}/{self.DB_DATABASE}" 
+                f"{db_extras}")
+
+    SQLALCHEMY_POOL_SIZE: NonNegativeInt = Field(
+        description='pool size of SqlAlchemy',
+        default=30,
+    )
+
+    SQLALCHEMY_MAX_OVERFLOW: NonNegativeInt = Field(
+        description='max overflows for SqlAlchemy',
+        default=10,
+    )
+
+    SQLALCHEMY_POOL_RECYCLE: NonNegativeInt = Field(
+        description='SqlAlchemy pool recycle',
+        default=3600,
+    )
+
+    SQLALCHEMY_POOL_PRE_PING: bool = Field(
+        description='whether to enable pool pre-ping in SqlAlchemy',
+        default=False,
+    )
+
+    SQLALCHEMY_ECHO: bool | str = Field(
+        description='whether to enable SqlAlchemy echo',
+        default=False,
+    )
+
+    @computed_field
+    @property
+    def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
+        return {
+            'pool_size': self.SQLALCHEMY_POOL_SIZE,
+            'max_overflow': self.SQLALCHEMY_MAX_OVERFLOW,
+            'pool_recycle': self.SQLALCHEMY_POOL_RECYCLE,
+            'pool_pre_ping': self.SQLALCHEMY_POOL_PRE_PING,
+            'connect_args': {'options': '-c timezone=UTC'},
+        }
+
+
+class CeleryConfig(DatabaseConfig):
+    CELERY_BACKEND: str = Field(
+        description='Celery backend, available values are `database`, `redis`',
+        default='database',
+    )
+
+    CELERY_BROKER_URL: Optional[str] = Field(
+        description='CELERY_BROKER_URL',
+        default=None,
+    )
+
+    @computed_field
+    @property
+    def CELERY_RESULT_BACKEND(self) -> str | None:
+        return 'db+{}'.format(self.SQLALCHEMY_DATABASE_URI) \
+            if self.CELERY_BACKEND == 'database' else self.CELERY_BROKER_URL
+
+    @computed_field
+    @property
+    def BROKER_USE_SSL(self) -> bool:
+        return self.CELERY_BROKER_URL.startswith('rediss://') if self.CELERY_BROKER_URL else False
+
+
+class MiddlewareConfig(
+    # place the configs in alphabet order
+    CeleryConfig,
+    DatabaseConfig,
+    KeywordStoreConfig,
+    RedisConfig,
+
+    # configs of storage and storage providers
+    StorageConfig,
+    AliyunOSSStorageConfig,
+    AzureBlobStorageConfig,
+    GoogleCloudStorageConfig,
+    TencentCloudCOSStorageConfig,
+    S3StorageConfig,
+    OCIStorageConfig,
+
+    # configs of vdb and vdb providers
+    VectorStoreConfig,
+    AnalyticdbConfig,
+    ChromaConfig,
+    MilvusConfig,
+    MyScaleConfig,
+    OpenSearchConfig,
+    OracleConfig,
+    PGVectorConfig,
+    PGVectoRSConfig,
+    QdrantConfig,
+    RelytConfig,
+    TencentVectorDBConfig,
+    TiDBVectorConfig,
+    WeaviateConfig,
+):
+    pass

api/configs/middleware/cache/redis_config.py

@@ -0,0 +1,39 @@
+from typing import Optional
+
+from pydantic import Field, NonNegativeInt, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class RedisConfig(BaseSettings):
+    """
+    Redis configs
+    """
+    REDIS_HOST: str = Field(
+        description='Redis host',
+        default='localhost',
+    )
+
+    REDIS_PORT: PositiveInt = Field(
+        description='Redis port',
+        default=6379,
+    )
+
+    REDIS_USERNAME: Optional[str] = Field(
+        description='Redis username',
+        default=None,
+    )
+
+    REDIS_PASSWORD: Optional[str] = Field(
+        description='Redis password',
+        default=None,
+    )
+
+    REDIS_DB: NonNegativeInt = Field(
+        description='Redis database id, default to 0',
+        default=0,
+    )
+
+    REDIS_USE_SSL: bool = Field(
+        description='whether to use SSL for Redis connection',
+        default=False,
+    )

api/configs/middleware/storage/aliyun_oss_storage_config.py

@@ -0,0 +1,40 @@
+from typing import Optional
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class AliyunOSSStorageConfig(BaseSettings):
+    """
+    Aliyun storage configs
+    """
+
+    ALIYUN_OSS_BUCKET_NAME: Optional[str] = Field(
+        description='Aliyun OSS bucket name',
+        default=None,
+    )
+
+    ALIYUN_OSS_ACCESS_KEY: Optional[str] = Field(
+        description='Aliyun OSS access key',
+        default=None,
+    )
+
+    ALIYUN_OSS_SECRET_KEY: Optional[str] = Field(
+        description='Aliyun OSS secret key',
+        default=None,
+    )
+
+    ALIYUN_OSS_ENDPOINT: Optional[str] = Field(
+        description='Aliyun OSS endpoint URL',
+        default=None,
+    )
+
+    ALIYUN_OSS_REGION: Optional[str] = Field(
+        description='Aliyun OSS region',
+        default=None,
+    )
+
+    ALIYUN_OSS_AUTH_VERSION: Optional[str] = Field(
+        description='Aliyun OSS authentication version',
+        default=None,
+    )

api/configs/middleware/storage/amazon_s3_storage_config.py

@@ -0,0 +1,45 @@
+from typing import Optional
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class S3StorageConfig(BaseSettings):
+    """
+    S3 storage configs
+    """
+
+    S3_ENDPOINT: Optional[str] = Field(
+        description='S3 storage endpoint',
+        default=None,
+    )
+
+    S3_REGION: Optional[str] = Field(
+        description='S3 storage region',
+        default=None,
+    )
+
+    S3_BUCKET_NAME: Optional[str] = Field(
+        description='S3 storage bucket name',
+        default=None,
+    )
+
+    S3_ACCESS_KEY: Optional[str] = Field(
+        description='S3 storage access key',
+        default=None,
+    )
+
+    S3_SECRET_KEY: Optional[str] = Field(
+        description='S3 storage secret key',
+        default=None,
+    )
+
+    S3_ADDRESS_STYLE: str = Field(
+        description='S3 storage address style',
+        default='auto',
+    )
+
+    S3_USE_AWS_MANAGED_IAM: bool = Field(
+        description='whether to use aws managed IAM for S3',
+        default=False,
+    )

api/configs/middleware/storage/azure_blob_storage_config.py

@@ -0,0 +1,30 @@
+from typing import Optional
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class AzureBlobStorageConfig(BaseSettings):
+    """
+    Azure Blob storage configs
+    """
+
+    AZURE_BLOB_ACCOUNT_NAME: Optional[str] = Field(
+        description='Azure Blob account name',
+        default=None,
+    )
+
+    AZURE_BLOB_ACCOUNT_KEY: Optional[str] = Field(
+        description='Azure Blob account key',
+        default=None,
+    )
+
+    AZURE_BLOB_CONTAINER_NAME: Optional[str] = Field(
+        description='Azure Blob container name',
+        default=None,
+    )
+
+    AZURE_BLOB_ACCOUNT_URL: Optional[str] = Field(
+        description='Azure Blob account URL',
+        default=None,
+    )

api/configs/middleware/storage/google_cloud_storage_config.py

@@ -0,0 +1,20 @@
+from typing import Optional
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class GoogleCloudStorageConfig(BaseSettings):
+    """
+    Google Cloud storage configs
+    """
+
+    GOOGLE_STORAGE_BUCKET_NAME: Optional[str] = Field(
+        description='Google Cloud storage bucket name',
+        default=None,
+    )
+
+    GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: Optional[str] = Field(
+        description='Google Cloud storage service account json base64',
+        default=None,
+    )

api/configs/middleware/storage/oci_storage_config.py

@@ -0,0 +1,36 @@
+from typing import Optional
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class OCIStorageConfig(BaseSettings):
+    """
+    OCI storage configs
+    """
+
+    OCI_ENDPOINT: Optional[str] = Field(
+        description='OCI storage endpoint',
+        default=None,
+    )
+
+    OCI_REGION: Optional[str] = Field(
+        description='OCI storage region',
+        default=None,
+    )
+
+    OCI_BUCKET_NAME: Optional[str] = Field(
+        description='OCI storage bucket name',
+        default=None,
+    )
+
+    OCI_ACCESS_KEY: Optional[str] = Field(
+        description='OCI storage access key',
+        default=None,
+    )
+
+    OCI_SECRET_KEY: Optional[str] = Field(
+        description='OCI storage secret key',
+        default=None,
+    )
+

api/configs/middleware/storage/tencent_cos_storage_config.py

@@ -0,0 +1,35 @@
+from typing import Optional
+
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class TencentCloudCOSStorageConfig(BaseSettings):
+    """
+    Tencent Cloud COS storage configs
+    """
+
+    TENCENT_COS_BUCKET_NAME: Optional[str] = Field(
+        description='Tencent Cloud COS bucket name',
+        default=None,
+    )
+
+    TENCENT_COS_REGION: Optional[str] = Field(
+        description='Tencent Cloud COS region',
+        default=None,
+    )
+
+    TENCENT_COS_SECRET_ID: Optional[str] = Field(
+        description='Tencent Cloud COS secret id',
+        default=None,
+    )
+
+    TENCENT_COS_SECRET_KEY: Optional[str] = Field(
+        description='Tencent Cloud COS secret key',
+        default=None,
+    )
+
+    TENCENT_COS_SCHEME: Optional[str] = Field(
+        description='Tencent Cloud COS scheme',
+        default=None,
+    )

api/configs/middleware/vdb/analyticdb_config.py

@@ -0,0 +1,44 @@
+from typing import Optional
+
+from pydantic import BaseModel, Field
+
+
+class AnalyticdbConfig(BaseModel):
+    """
+    Configuration for connecting to AnalyticDB.
+    Refer to the following documentation for details on obtaining credentials:
+    https://www.alibabacloud.com/help/en/analyticdb-for-postgresql/getting-started/create-an-instance-instances-with-vector-engine-optimization-enabled
+    """
+
+    ANALYTICDB_KEY_ID : Optional[str] = Field(
+        default=None,
+        description="The Access Key ID provided by Alibaba Cloud for authentication."
+    )
+    ANALYTICDB_KEY_SECRET : Optional[str] = Field(
+        default=None,
+        description="The Secret Access Key corresponding to the Access Key ID for secure access."
+    )
+    ANALYTICDB_REGION_ID : Optional[str] = Field(
+        default=None,
+        description="The region where the AnalyticDB instance is deployed (e.g., 'cn-hangzhou')."
+    )
+    ANALYTICDB_INSTANCE_ID : Optional[str] = Field(
+        default=None,
+        description="The unique identifier of the AnalyticDB instance you want to connect to (e.g., 'gp-ab123456').."
+    )
+    ANALYTICDB_ACCOUNT : Optional[str] = Field(
+        default=None,
+        description="The account name used to log in to the AnalyticDB instance."
+    )
+    ANALYTICDB_PASSWORD : Optional[str] = Field(
+        default=None,
+        description="The password associated with the AnalyticDB account for authentication."
+    )
+    ANALYTICDB_NAMESPACE : Optional[str] = Field(
+        default=None,
+        description="The namespace within AnalyticDB for schema isolation."
+    )
+    ANALYTICDB_NAMESPACE_PASSWORD : Optional[str] = Field(
+        default=None,
+        description="The password for accessing the specified namespace within the AnalyticDB instance."
+    )

api/configs/middleware/vdb/chroma_config.py

@@ -0,0 +1,40 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class ChromaConfig(BaseSettings):
+    """
+    Chroma configs
+    """
+
+    CHROMA_HOST: Optional[str] = Field(
+        description='Chroma host',
+        default=None,
+    )
+
+    CHROMA_PORT: PositiveInt = Field(
+        description='Chroma port',
+        default=8000,
+    )
+
+    CHROMA_TENANT: Optional[str] = Field(
+        description='Chroma database',
+        default=None,
+    )
+
+    CHROMA_DATABASE: Optional[str] = Field(
+        description='Chroma database',
+        default=None,
+    )
+
+    CHROMA_AUTH_PROVIDER: Optional[str] = Field(
+        description='Chroma authentication provider',
+        default=None,
+    )
+
+    CHROMA_AUTH_CREDENTIALS: Optional[str] = Field(
+        description='Chroma authentication credentials',
+        default=None,
+    )

api/configs/middleware/vdb/milvus_config.py

@@ -0,0 +1,40 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class MilvusConfig(BaseSettings):
+    """
+    Milvus configs
+    """
+
+    MILVUS_HOST: Optional[str] = Field(
+        description='Milvus host',
+        default=None,
+    )
+
+    MILVUS_PORT: PositiveInt = Field(
+        description='Milvus RestFul API port',
+        default=9091,
+    )
+
+    MILVUS_USER: Optional[str] = Field(
+        description='Milvus user',
+        default=None,
+    )
+
+    MILVUS_PASSWORD: Optional[str] = Field(
+        description='Milvus password',
+        default=None,
+    )
+
+    MILVUS_SECURE: bool = Field(
+        description='whether to use SSL connection for Milvus',
+        default=False,
+    )
+
+    MILVUS_DATABASE: str = Field(
+        description='Milvus database, default to `default`',
+        default='default',
+    )

api/configs/middleware/vdb/myscale_config.py

@@ -0,0 +1,38 @@
+
+from pydantic import BaseModel, Field, PositiveInt
+
+
+class MyScaleConfig(BaseModel):
+    """
+    MyScale configs
+    """
+
+    MYSCALE_HOST: str = Field(
+        description='MyScale host',
+        default='localhost',
+    )
+
+    MYSCALE_PORT: PositiveInt = Field(
+        description='MyScale port',
+        default=8123,
+    )
+
+    MYSCALE_USER: str = Field(
+        description='MyScale user',
+        default='default',
+    )
+
+    MYSCALE_PASSWORD: str = Field(
+        description='MyScale password',
+        default='',
+    )
+
+    MYSCALE_DATABASE: str = Field(
+        description='MyScale database name',
+        default='default',
+    )
+
+    MYSCALE_FTS_PARAMS: str = Field(
+        description='MyScale fts index parameters',
+        default='',
+    )

api/configs/middleware/vdb/opensearch_config.py

@@ -0,0 +1,35 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class OpenSearchConfig(BaseSettings):
+    """
+    OpenSearch configs
+    """
+
+    OPENSEARCH_HOST: Optional[str] = Field(
+        description='OpenSearch host',
+        default=None,
+    )
+
+    OPENSEARCH_PORT: PositiveInt = Field(
+        description='OpenSearch port',
+        default=9200,
+    )
+
+    OPENSEARCH_USER: Optional[str] = Field(
+        description='OpenSearch user',
+        default=None,
+    )
+
+    OPENSEARCH_PASSWORD: Optional[str] = Field(
+        description='OpenSearch password',
+        default=None,
+    )
+
+    OPENSEARCH_SECURE: bool = Field(
+        description='whether to use SSL connection for OpenSearch',
+        default=False,
+    )

api/configs/middleware/vdb/oracle_config.py

@@ -0,0 +1,35 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class OracleConfig(BaseSettings):
+    """
+    ORACLE configs
+    """
+
+    ORACLE_HOST: Optional[str] = Field(
+        description='ORACLE host',
+        default=None,
+    )
+
+    ORACLE_PORT: Optional[PositiveInt] = Field(
+        description='ORACLE port',
+        default=1521,
+    )
+
+    ORACLE_USER: Optional[str] = Field(
+        description='ORACLE user',
+        default=None,
+    )
+
+    ORACLE_PASSWORD: Optional[str] = Field(
+        description='ORACLE password',
+        default=None,
+    )
+
+    ORACLE_DATABASE: Optional[str] = Field(
+        description='ORACLE database',
+        default=None,
+    )

api/configs/middleware/vdb/pgvector_config.py

@@ -0,0 +1,35 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class PGVectorConfig(BaseSettings):
+    """
+    PGVector configs
+    """
+
+    PGVECTOR_HOST: Optional[str] = Field(
+        description='PGVector host',
+        default=None,
+    )
+
+    PGVECTOR_PORT: Optional[PositiveInt] = Field(
+        description='PGVector port',
+        default=5433,
+    )
+
+    PGVECTOR_USER: Optional[str] = Field(
+        description='PGVector user',
+        default=None,
+    )
+
+    PGVECTOR_PASSWORD: Optional[str] = Field(
+        description='PGVector password',
+        default=None,
+    )
+
+    PGVECTOR_DATABASE: Optional[str] = Field(
+        description='PGVector database',
+        default=None,
+    )

api/configs/middleware/vdb/pgvectors_config.py

@@ -0,0 +1,35 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class PGVectoRSConfig(BaseSettings):
+    """
+    PGVectoRS configs
+    """
+
+    PGVECTO_RS_HOST: Optional[str] = Field(
+        description='PGVectoRS host',
+        default=None,
+    )
+
+    PGVECTO_RS_PORT: Optional[PositiveInt] = Field(
+        description='PGVectoRS port',
+        default=5431,
+    )
+
+    PGVECTO_RS_USER: Optional[str] = Field(
+        description='PGVectoRS user',
+        default=None,
+    )
+
+    PGVECTO_RS_PASSWORD: Optional[str] = Field(
+        description='PGVectoRS password',
+        default=None,
+    )
+
+    PGVECTO_RS_DATABASE: Optional[str] = Field(
+        description='PGVectoRS database',
+        default=None,
+    )

api/configs/middleware/vdb/qdrant_config.py

@@ -0,0 +1,35 @@
+from typing import Optional
+
+from pydantic import Field, NonNegativeInt, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class QdrantConfig(BaseSettings):
+    """
+    Qdrant configs
+    """
+
+    QDRANT_URL: Optional[str] = Field(
+        description='Qdrant url',
+        default=None,
+    )
+
+    QDRANT_API_KEY: Optional[str] = Field(
+        description='Qdrant api key',
+        default=None,
+    )
+
+    QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field(
+        description='Qdrant client timeout in seconds',
+        default=20,
+    )
+
+    QDRANT_GRPC_ENABLED: bool = Field(
+        description='whether enable grpc support for Qdrant connection',
+        default=False,
+    )
+
+    QDRANT_GRPC_PORT: PositiveInt = Field(
+        description='Qdrant grpc port',
+        default=6334,
+    )

api/configs/middleware/vdb/relyt_config.py

@@ -0,0 +1,35 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class RelytConfig(BaseSettings):
+    """
+    Relyt configs
+    """
+
+    RELYT_HOST: Optional[str] = Field(
+        description='Relyt host',
+        default=None,
+    )
+
+    RELYT_PORT: PositiveInt = Field(
+        description='Relyt port',
+        default=9200,
+    )
+
+    RELYT_USER: Optional[str] = Field(
+        description='Relyt user',
+        default=None,
+    )
+
+    RELYT_PASSWORD: Optional[str] = Field(
+        description='Relyt password',
+        default=None,
+    )
+
+    RELYT_DATABASE: Optional[str] = Field(
+        description='Relyt database',
+        default='default',
+    )

api/configs/middleware/vdb/tencent_vector_config.py

@@ -0,0 +1,50 @@
+from typing import Optional
+
+from pydantic import Field, NonNegativeInt, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class TencentVectorDBConfig(BaseSettings):
+    """
+    Tencent Vector configs
+    """
+
+    TENCENT_VECTOR_DB_URL: Optional[str] = Field(
+        description='Tencent Vector URL',
+        default=None,
+    )
+
+    TENCENT_VECTOR_DB_API_KEY: Optional[str] = Field(
+        description='Tencent Vector API key',
+        default=None,
+    )
+
+    TENCENT_VECTOR_DB_TIMEOUT: PositiveInt = Field(
+        description='Tencent Vector timeout in seconds',
+        default=30,
+    )
+
+    TENCENT_VECTOR_DB_USERNAME: Optional[str] = Field(
+        description='Tencent Vector username',
+        default=None,
+    )
+
+    TENCENT_VECTOR_DB_PASSWORD: Optional[str] = Field(
+        description='Tencent Vector password',
+        default=None,
+    )
+
+    TENCENT_VECTOR_DB_SHARD: PositiveInt = Field(
+        description='Tencent Vector sharding number',
+        default=1,
+    )
+
+    TENCENT_VECTOR_DB_REPLICAS: NonNegativeInt = Field(
+        description='Tencent Vector replicas',
+        default=2,
+    )
+
+    TENCENT_VECTOR_DB_DATABASE: Optional[str] = Field(
+        description='Tencent Vector Database',
+        default=None,
+    )

api/configs/middleware/vdb/tidb_vector_config.py

@@ -0,0 +1,35 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class TiDBVectorConfig(BaseSettings):
+    """
+    TiDB Vector configs
+    """
+
+    TIDB_VECTOR_HOST: Optional[str] = Field(
+        description='TiDB Vector host',
+        default=None,
+    )
+
+    TIDB_VECTOR_PORT: Optional[PositiveInt] = Field(
+        description='TiDB Vector port',
+        default=4000,
+    )
+
+    TIDB_VECTOR_USER: Optional[str] = Field(
+        description='TiDB Vector user',
+        default=None,
+    )
+
+    TIDB_VECTOR_PASSWORD: Optional[str] = Field(
+        description='TiDB Vector password',
+        default=None,
+    )
+
+    TIDB_VECTOR_DATABASE: Optional[str] = Field(
+        description='TiDB Vector database',
+        default=None,
+    )

api/configs/middleware/vdb/weaviate_config.py

@@ -0,0 +1,30 @@
+from typing import Optional
+
+from pydantic import Field, PositiveInt
+from pydantic_settings import BaseSettings
+
+
+class WeaviateConfig(BaseSettings):
+    """
+    Weaviate configs
+    """
+
+    WEAVIATE_ENDPOINT: Optional[str] = Field(
+        description='Weaviate endpoint URL',
+        default=None,
+    )
+
+    WEAVIATE_API_KEY: Optional[str] = Field(
+        description='Weaviate API key',
+        default=None,
+    )
+
+    WEAVIATE_GRPC_ENABLED: bool = Field(
+        description='whether to enable gRPC for Weaviate connection',
+        default=True,
+    )
+
+    WEAVIATE_BATCH_SIZE: PositiveInt = Field(
+        description='Weaviate batch size',
+        default=100,
+    )

api/configs/packaging/__init__.py

@@ -0,0 +1,18 @@
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+
+class PackagingInfo(BaseSettings):
+    """
+    Packaging build information
+    """
+
+    CURRENT_VERSION: str = Field(
+        description='Dify version',
+        default='0.7.1',
+    )
+
+    COMMIT_SHA: str = Field(
+        description="SHA-1 checksum of the git commit used to build the app",
+        default='',
+    )

api/constants/__init__.py

@@ -0,0 +1 @@
+HIDDEN_VALUE = "[__HIDDEN__]"

api/constants/languages.py

@@ -0,0 +1,30 @@
+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",
+    "de-DE": "Europe/Berlin",
+    "ja-JP": "Asia/Tokyo",
+    "ko-KR": "Asia/Seoul",
+    "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",
+    "tr-TR": "Europe/Istanbul",
+    "fa-IR": "Asia/Tehran",
+}
+
+languages = list(language_timezone_mapping.keys())
+
+
+def supported_language(lang):
+    if lang in languages:
+        return lang
+
+    error = "{lang} is not a valid language.".format(lang=lang)
+    raise ValueError(error)

api/constants/model_template.py

@@ -1,322 +1,83 @@
 import json
 
-from models.model import AppModelConfig, App
+from models.model import AppMode
 
-model_templates = {
+default_app_templates = {
+    # workflow default mode
+    AppMode.WORKFLOW: {
+        "app": {
+            "mode": AppMode.WORKFLOW.value,
+            "enable_site": True,
+            "enable_api": True,
+        }
+    },
     # completion default mode
-    'completion_default': {
-        'app': {
-            'mode': 'completion',
-            'enable_site': True,
-            'enable_api': True,
-            'is_demo': False,
-            'api_rpm': 0,
-            'api_rph': 0,
-            'status': 'normal'
+    AppMode.COMPLETION: {
+        "app": {
+            "mode": AppMode.COMPLETION.value,
+            "enable_site": True,
+            "enable_api": True,
         },
-        'model_config': {
-            'provider': 'openai',
-            'model_id': 'text-davinci-003',
-            'configs': {
-                'prompt_template': '',
-                'prompt_variables': [],
-                'completion_params': {
-                    'max_token': 512,
-                    'temperature': 1,
-                    'top_p': 1,
-                    'presence_penalty': 0,
-                    'frequency_penalty': 0,
-                }
-            },
-            'model': json.dumps({
+        "model_config": {
+            "model": {
                 "provider": "openai",
-                "name": "text-davinci-003",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
-            })
-        }
+                "name": "gpt-4o",
+                "mode": "chat",
+                "completion_params": {},
+            },
+            "user_input_form": json.dumps(
+                [
+                    {
+                        "paragraph": {
+                            "label": "Query",
+                            "variable": "query",
+                            "required": True,
+                            "default": "",
+                        },
+                    },
+                ]
+            ),
+            "pre_prompt": "{{query}}",
+        },
     },
-
     # chat default mode
-    'chat_default': {
-        'app': {
-            'mode': 'chat',
-            'enable_site': True,
-            'enable_api': True,
-            'is_demo': False,
-            'api_rpm': 0,
-            'api_rph': 0,
-            'status': 'normal'
+    AppMode.CHAT: {
+        "app": {
+            "mode": AppMode.CHAT.value,
+            "enable_site": True,
+            "enable_api": True,
         },
-        'model_config': {
-            'provider': 'openai',
-            'model_id': 'gpt-3.5-turbo',
-            'configs': {
-                'prompt_template': '',
-                'prompt_variables': [],
-                'completion_params': {
-                    'max_token': 512,
-                    'temperature': 1,
-                    'top_p': 1,
-                    'presence_penalty': 0,
-                    'frequency_penalty': 0,
-                }
-            },
-            'model': json.dumps({
+        "model_config": {
+            "model": {
                 "provider": "openai",
-                "name": "gpt-3.5-turbo",
-                "completion_params": {
-                    "max_tokens": 512,
-                    "temperature": 1,
-                    "top_p": 1,
-                    "presence_penalty": 0,
-                    "frequency_penalty": 0
-                }
-            })
-        }
+                "name": "gpt-4o",
+                "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-4o",
+                "mode": "chat",
+                "completion_params": {},
+            },
+        },
     },
 }
-
-
-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='text-davinci-003',
-                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",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "text-davinci-003",
-                    "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',
-                            ]
-                        }
-                    }
-                ])
-            )
-        },
-        {
-            '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",
-                    "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='text-davinci-003',
-                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",
-                model=json.dumps({
-                    "provider": "openai",
-                    "name": "text-davinci-003",
-                    "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",
-                            ]
-                        }
-                    }
-                ])
-            )
-        },
-        {
-            '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",
-                    "completion_params": {
-                        "max_tokens": 300,
-                        "temperature": 0.8,
-                        "top_p": 0.9,
-                        "presence_penalty": 0.1,
-                        "frequency_penalty": 0.1
-                    }
-                }),
-                user_input_form=None
-            )
-        }
-    ],
-}

api/constants/tts_auto_play_timeout.py

@@ -0,0 +1,4 @@
+TTS_AUTO_PLAY_TIMEOUT = 5
+
+# sleep 20 ms ( 40ms => 1280 byte audio file,20ms => 640 byte audio file)
+TTS_AUTO_PLAY_YIELD_CPU_TIME = 0.02

api/contexts/__init__.py

@@ -0,0 +1,7 @@
+from contextvars import ContextVar
+
+from core.workflow.entities.variable_pool import VariablePool
+
+tenant_id: ContextVar[str] = ContextVar("tenant_id")
+
+workflow_variable_pool: ContextVar[VariablePool] = ContextVar("workflow_variable_pool")