Fix：webapp UI issues (#15601)

suggest questions display

tooltip for start a new chat

reset chat input position

fix webapp UI issues

.claude/settings.json.example

@@ -1,19 +0,0 @@
-{
-    "permissions": {
-      "allow": [],
-      "deny": []
-    },
-    "env": {
-      "__comment": "Environment variables for MCP servers. Override in .claude/settings.local.json with actual values.",
-      "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
-    },
-    "enabledMcpjsonServers": [
-      "context7",
-      "sequential-thinking",
-      "github",
-      "fetch",
-      "playwright",
-      "ide"
-    ],
-    "enableAllProjectMcpServers": true
-  }

.cursorrules

@@ -1,6 +0,0 @@
-# Cursor Rules for Dify Project
-
-## Automated Test Generation
-
-- Use `web/testing/testing.md` as the canonical instruction set for generating frontend automated tests.
-- When proposing or saving tests, re-read that document and follow every requirement.

.devcontainer/Dockerfile

@@ -1,4 +1,5 @@
-FROM mcr.microsoft.com/devcontainers/python:3.12-bookworm
+FROM mcr.microsoft.com/devcontainers/python:3.12
 
-RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
-     && apt-get -y install libgmp-dev libmpfr-dev libmpc-dev
+# [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

@@ -1,26 +1,23 @@
 # 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
 
+## 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
 
+## 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.
@@ -28,15 +25,13 @@ Quick Start: New developers can set up their development environment in a few si
 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)
+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

@@ -2,7 +2,7 @@
 // README at: https://github.com/devcontainers/templates/tree/main/src/anaconda
 {
 	"name": "Python 3.12",
-	"build": {
+	"build": { 
 		"context": "..",
 		"dockerfile": "Dockerfile"
 	},
@@ -11,7 +11,7 @@
 			"nodeGypDependencies": true,
 			"version": "lts"
 		},
-		"ghcr.io/devcontainers-extra/features/npm-package:1": {
+		"ghcr.io/devcontainers-contrib/features/npm-package:1": {
 			"package": "typescript",
 			"version": "latest"
 		},

.devcontainer/noop.txt

@@ -1,3 +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.
+folder. This file is included to prevents the Dockerfile COPY instruction from 
+failing if no environment.yml is found.

.devcontainer/post_create_command.sh

@@ -1,15 +1,13 @@
 #!/bin/bash
-WORKSPACE_ROOT=$(pwd)
 
-corepack enable
+npm add -g pnpm@9.12.2
 cd web && pnpm install
-pipx install uv
+pipx install poetry
 
-echo "alias start-api=\"cd $WORKSPACE_ROOT/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug\"" >> ~/.bashrc
-echo "alias start-worker=\"cd $WORKSPACE_ROOT/api && uv run python -m celery -A app.celery worker -P threads -c 1 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor\"" >> ~/.bashrc
-echo "alias start-web=\"cd $WORKSPACE_ROOT/web && pnpm dev\"" >> ~/.bashrc
-echo "alias start-web-prod=\"cd $WORKSPACE_ROOT/web && pnpm build && pnpm start\"" >> ~/.bashrc
-echo "alias start-containers=\"cd $WORKSPACE_ROOT/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d\"" >> ~/.bashrc
-echo "alias stop-containers=\"cd $WORKSPACE_ROOT/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down\"" >> ~/.bashrc
+echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
+echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
+echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
+echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify up -d"' >> ~/.bashrc
+echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify down"' >> ~/.bashrc
 
 source /home/vscode/.bashrc

.devcontainer/post_start_command.sh

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

.editorconfig

@@ -1,39 +0,0 @@
-# EditorConfig is awesome: https://EditorConfig.org
-
-# top-most EditorConfig file
-root = true
-
-# Unix-style newlines with a newline ending every file
-[*]
-charset = utf-8
-end_of_line = lf
-insert_final_newline = true
-trim_trailing_whitespace = true
-
-[*.py]
-indent_size = 4
-indent_style = space
-
-[*.{yml,yaml}]
-indent_style = space
-indent_size = 2
-
-[*.toml]
-indent_size = 4
-indent_style = space
-
-# Markdown and MDX are whitespace sensitive languages.
-# Do not remove trailing spaces.
-[*.{md,mdx}]
-trim_trailing_whitespace = false
-
-# Matches multiple files with brace expansion notation
-# Set default charset
-[*.{js,jsx,ts,tsx,mjs}]
-indent_style = space
-indent_size = 2
-
-# Matches the exact files package.json
-[package.json]
-indent_style = space
-indent_size = 2

.gitattributes

@@ -1,5 +1,5 @@
 # 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 Windows.
+# to Windows(NTFS) file-system, by a user of Docker for Windows. 
 # 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.

.github/CODEOWNERS

@@ -1,226 +0,0 @@
-# CODEOWNERS
-# This file defines code ownership for the Dify project.
-# Each line is a file pattern followed by one or more owners.
-# Owners can be @username, @org/team-name, or email addresses.
-# For more information, see: https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
-
-* @crazywoola @laipz8200 @Yeuoly
-
-# Backend (default owner, more specific rules below will override)
-api/ @QuantumGhost
-
-# Backend - Workflow - Engine (Core graph execution engine)
-api/core/workflow/graph_engine/ @laipz8200 @QuantumGhost
-api/core/workflow/runtime/ @laipz8200 @QuantumGhost
-api/core/workflow/graph/ @laipz8200 @QuantumGhost
-api/core/workflow/graph_events/ @laipz8200 @QuantumGhost
-api/core/workflow/node_events/ @laipz8200 @QuantumGhost
-api/core/model_runtime/ @laipz8200 @QuantumGhost
-
-# Backend - Workflow - Nodes (Agent, Iteration, Loop, LLM)
-api/core/workflow/nodes/agent/ @Nov1c444
-api/core/workflow/nodes/iteration/ @Nov1c444
-api/core/workflow/nodes/loop/ @Nov1c444
-api/core/workflow/nodes/llm/ @Nov1c444
-
-# Backend - RAG (Retrieval Augmented Generation)
-api/core/rag/ @JohnJyong
-api/services/rag_pipeline/ @JohnJyong
-api/services/dataset_service.py @JohnJyong
-api/services/knowledge_service.py @JohnJyong
-api/services/external_knowledge_service.py @JohnJyong
-api/services/hit_testing_service.py @JohnJyong
-api/services/metadata_service.py @JohnJyong
-api/services/vector_service.py @JohnJyong
-api/services/entities/knowledge_entities/ @JohnJyong
-api/services/entities/external_knowledge_entities/ @JohnJyong
-api/controllers/console/datasets/ @JohnJyong
-api/controllers/service_api/dataset/ @JohnJyong
-api/models/dataset.py @JohnJyong
-api/tasks/rag_pipeline/ @JohnJyong
-api/tasks/add_document_to_index_task.py @JohnJyong
-api/tasks/batch_clean_document_task.py @JohnJyong
-api/tasks/clean_document_task.py @JohnJyong
-api/tasks/clean_notion_document_task.py @JohnJyong
-api/tasks/document_indexing_task.py @JohnJyong
-api/tasks/document_indexing_sync_task.py @JohnJyong
-api/tasks/document_indexing_update_task.py @JohnJyong
-api/tasks/duplicate_document_indexing_task.py @JohnJyong
-api/tasks/recover_document_indexing_task.py @JohnJyong
-api/tasks/remove_document_from_index_task.py @JohnJyong
-api/tasks/retry_document_indexing_task.py @JohnJyong
-api/tasks/sync_website_document_indexing_task.py @JohnJyong
-api/tasks/batch_create_segment_to_index_task.py @JohnJyong
-api/tasks/create_segment_to_index_task.py @JohnJyong
-api/tasks/delete_segment_from_index_task.py @JohnJyong
-api/tasks/disable_segment_from_index_task.py @JohnJyong
-api/tasks/disable_segments_from_index_task.py @JohnJyong
-api/tasks/enable_segment_to_index_task.py @JohnJyong
-api/tasks/enable_segments_to_index_task.py @JohnJyong
-api/tasks/clean_dataset_task.py @JohnJyong
-api/tasks/deal_dataset_index_update_task.py @JohnJyong
-api/tasks/deal_dataset_vector_index_task.py @JohnJyong
-
-# Backend - Plugins
-api/core/plugin/ @Mairuis @Yeuoly @Stream29
-api/services/plugin/ @Mairuis @Yeuoly @Stream29
-api/controllers/console/workspace/plugin.py @Mairuis @Yeuoly @Stream29
-api/controllers/inner_api/plugin/ @Mairuis @Yeuoly @Stream29
-api/tasks/process_tenant_plugin_autoupgrade_check_task.py @Mairuis @Yeuoly @Stream29
-
-# Backend - Trigger/Schedule/Webhook
-api/controllers/trigger/ @Mairuis @Yeuoly
-api/controllers/console/app/workflow_trigger.py @Mairuis @Yeuoly
-api/controllers/console/workspace/trigger_providers.py @Mairuis @Yeuoly
-api/core/trigger/ @Mairuis @Yeuoly
-api/core/app/layers/trigger_post_layer.py @Mairuis @Yeuoly
-api/services/trigger/ @Mairuis @Yeuoly
-api/models/trigger.py @Mairuis @Yeuoly
-api/fields/workflow_trigger_fields.py @Mairuis @Yeuoly
-api/repositories/workflow_trigger_log_repository.py @Mairuis @Yeuoly
-api/repositories/sqlalchemy_workflow_trigger_log_repository.py @Mairuis @Yeuoly
-api/libs/schedule_utils.py @Mairuis @Yeuoly
-api/services/workflow/scheduler.py @Mairuis @Yeuoly
-api/schedule/trigger_provider_refresh_task.py @Mairuis @Yeuoly
-api/schedule/workflow_schedule_task.py @Mairuis @Yeuoly
-api/tasks/trigger_processing_tasks.py @Mairuis @Yeuoly
-api/tasks/trigger_subscription_refresh_tasks.py @Mairuis @Yeuoly
-api/tasks/workflow_schedule_tasks.py @Mairuis @Yeuoly
-api/tasks/workflow_cfs_scheduler/ @Mairuis @Yeuoly
-api/events/event_handlers/sync_plugin_trigger_when_app_created.py @Mairuis @Yeuoly
-api/events/event_handlers/update_app_triggers_when_app_published_workflow_updated.py @Mairuis @Yeuoly
-api/events/event_handlers/sync_workflow_schedule_when_app_published.py @Mairuis @Yeuoly
-api/events/event_handlers/sync_webhook_when_app_created.py @Mairuis @Yeuoly
-
-# Backend - Async Workflow
-api/services/async_workflow_service.py @Mairuis @Yeuoly
-api/tasks/async_workflow_tasks.py @Mairuis @Yeuoly
-
-# Backend - Billing
-api/services/billing_service.py @hj24 @zyssyz123
-api/controllers/console/billing/ @hj24 @zyssyz123
-
-# Backend - Enterprise
-api/configs/enterprise/ @GarfieldDai @GareArc
-api/services/enterprise/ @GarfieldDai @GareArc
-api/services/feature_service.py @GarfieldDai @GareArc
-api/controllers/console/feature.py @GarfieldDai @GareArc
-api/controllers/web/feature.py @GarfieldDai @GareArc
-
-# Backend - Database Migrations
-api/migrations/ @snakevash @laipz8200
-
-# Frontend
-web/ @iamjoel
-
-# Frontend - App - Orchestration
-web/app/components/workflow/ @iamjoel @zxhlyh
-web/app/components/workflow-app/ @iamjoel @zxhlyh
-web/app/components/app/configuration/ @iamjoel @zxhlyh
-web/app/components/app/app-publisher/ @iamjoel @zxhlyh
-
-# Frontend - WebApp - Chat
-web/app/components/base/chat/ @iamjoel @zxhlyh
-
-# Frontend - WebApp - Completion
-web/app/components/share/text-generation/ @iamjoel @zxhlyh
-
-# Frontend - App - List and Creation
-web/app/components/apps/ @JzoNgKVO @iamjoel
-web/app/components/app/create-app-dialog/ @JzoNgKVO @iamjoel
-web/app/components/app/create-app-modal/ @JzoNgKVO @iamjoel
-web/app/components/app/create-from-dsl-modal/ @JzoNgKVO @iamjoel
-
-# Frontend - App - API Documentation
-web/app/components/develop/ @JzoNgKVO @iamjoel
-
-# Frontend - App - Logs and Annotations
-web/app/components/app/workflow-log/ @JzoNgKVO @iamjoel
-web/app/components/app/log/ @JzoNgKVO @iamjoel
-web/app/components/app/log-annotation/ @JzoNgKVO @iamjoel
-web/app/components/app/annotation/ @JzoNgKVO @iamjoel
-
-# Frontend - App - Monitoring
-web/app/(commonLayout)/app/(appDetailLayout)/\[appId\]/overview/ @JzoNgKVO @iamjoel
-web/app/components/app/overview/ @JzoNgKVO @iamjoel
-
-# Frontend - App - Settings
-web/app/components/app-sidebar/ @JzoNgKVO @iamjoel
-
-# Frontend - RAG - Hit Testing
-web/app/components/datasets/hit-testing/ @JzoNgKVO @iamjoel
-
-# Frontend - RAG - List and Creation
-web/app/components/datasets/list/ @iamjoel @WTW0313
-web/app/components/datasets/create/ @iamjoel @WTW0313
-web/app/components/datasets/create-from-pipeline/ @iamjoel @WTW0313
-web/app/components/datasets/external-knowledge-base/ @iamjoel @WTW0313
-
-# Frontend - RAG - Orchestration (general rule first, specific rules below override)
-web/app/components/rag-pipeline/ @iamjoel @WTW0313
-web/app/components/rag-pipeline/components/rag-pipeline-main.tsx @iamjoel @zxhlyh
-web/app/components/rag-pipeline/store/ @iamjoel @zxhlyh
-
-# Frontend - RAG - Documents List
-web/app/components/datasets/documents/list.tsx @iamjoel @WTW0313
-web/app/components/datasets/documents/create-from-pipeline/ @iamjoel @WTW0313
-
-# Frontend - RAG - Segments List
-web/app/components/datasets/documents/detail/ @iamjoel @WTW0313
-
-# Frontend - RAG - Settings
-web/app/components/datasets/settings/ @iamjoel @WTW0313
-
-# Frontend - Ecosystem - Plugins
-web/app/components/plugins/ @iamjoel @zhsama
-
-# Frontend - Ecosystem - Tools
-web/app/components/tools/ @iamjoel @Yessenia-d
-
-# Frontend - Ecosystem - MarketPlace
-web/app/components/plugins/marketplace/ @iamjoel @Yessenia-d
-
-# Frontend - Login and Registration
-web/app/signin/ @douxc @iamjoel
-web/app/signup/ @douxc @iamjoel
-web/app/reset-password/ @douxc @iamjoel
-web/app/install/ @douxc @iamjoel
-web/app/init/ @douxc @iamjoel
-web/app/forgot-password/ @douxc @iamjoel
-web/app/account/ @douxc @iamjoel
-
-# Frontend - Service Authentication
-web/service/base.ts @douxc @iamjoel
-
-# Frontend - WebApp Authentication and Access Control
-web/app/(shareLayout)/components/ @douxc @iamjoel
-web/app/(shareLayout)/webapp-signin/ @douxc @iamjoel
-web/app/(shareLayout)/webapp-reset-password/ @douxc @iamjoel
-web/app/components/app/app-access-control/ @douxc @iamjoel
-
-# Frontend - Explore Page
-web/app/components/explore/ @CodingOnStar @iamjoel
-
-# Frontend - Personal Settings
-web/app/components/header/account-setting/ @CodingOnStar @iamjoel
-web/app/components/header/account-dropdown/ @CodingOnStar @iamjoel
-
-# Frontend - Analytics
-web/app/components/base/ga/ @CodingOnStar @iamjoel
-
-# Frontend - Base Components
-web/app/components/base/ @iamjoel @zxhlyh
-
-# Frontend - Utils and Hooks
-web/utils/classnames.ts @iamjoel @zxhlyh
-web/utils/time.ts @iamjoel @zxhlyh
-web/utils/format.ts @iamjoel @zxhlyh
-web/utils/clipboard.ts @iamjoel @zxhlyh
-web/hooks/use-document-title.ts @iamjoel @zxhlyh
-
-# Frontend - Billing and Education
-web/app/components/billing/ @iamjoel @zxhlyh
-web/app/education-apply/ @iamjoel @zxhlyh
-
-# Frontend - Workspace
-web/app/components/header/account-dropdown/workplace-selector/ @iamjoel @zxhlyh

.github/CODE_OF_CONDUCT.md

@@ -17,25 +17,27 @@ diverse, inclusive, and healthy community.
 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,
+* 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
+* 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
+* 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
+* 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
+* 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

@@ -9,7 +9,7 @@ body:
           required: true
         - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)"
+        - label: "[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

.github/DISCUSSION_TEMPLATE/help.yml

@@ -9,7 +9,7 @@ body:
           required: true
         - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)"
+        - label: "[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

.github/DISCUSSION_TEMPLATE/suggestion.yml

@@ -9,7 +9,7 @@ body:
           required: true
         - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
           required: true
-        - label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)"
+        - label: "[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

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -8,15 +8,13 @@ body:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
       options:
-        - label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
-          required: true
         - 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, otherwise it will be closed.
+        - 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: 【中文用户 & Non English User】请使用英语提交，否则会被关闭 ：）
+        - 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
@@ -44,22 +42,20 @@ body:
     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. If you have logs, please use fenced code blocks (triple backticks ```) to format them.
+      placeholder: Having detailed steps helps us reproduce the bug.
     validations:
       required: true
 
   - type: textarea
     attributes:
       label: ✔️ Expected Behavior
-      description: Describe what you expected to happen.
-      placeholder: What were you expecting? Please do not copy and paste the steps to reproduce here.
+      placeholder: What were you expecting?
     validations:
-      required: true
+      required: false
 
   - type: textarea
     attributes:
       label: ❌ Actual Behavior
-      description: Describe what actually happened.
-      placeholder: What happened instead? Please do not copy and paste the steps to reproduce here.
+      placeholder: What happened instead?
     validations:
       required: false

.github/ISSUE_TEMPLATE/config.yml

@@ -1,14 +1,5 @@
 blank_issues_enabled: false
 contact_links:
-  - name: "\U0001F510 Security Vulnerabilities"
-    url: "https://github.com/langgenius/dify/security/advisories/new"
-    about: Report security vulnerabilities through GitHub Security Advisories to ensure responsible disclosure. 💡 Please do not report security vulnerabilities in public issues.
-  - name: "\U0001F4A1 Model Providers & Plugins"
-    url: "https://github.com/langgenius/dify-official-plugins/issues/new/choose"
-    about: Report issues with official plugins or model providers, you will need to provide the plugin version and other relevant details.
-  - name: "\U0001F4AC Documentation Issues"
-    url: "https://github.com/langgenius/dify-docs/issues/new"
-    about: Report issues with the documentation, such as typos, outdated information, or missing content. Please provide the specific section and details of the issue.
   - name: "\U0001F4E7 Discussions"
     url: https://github.com/langgenius/dify/discussions/categories/general
-    about: General discussions and seek help from the community
+    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

@@ -8,11 +8,11 @@ body:
       label: Self Checks
       description: "To make sure we get to you in time, please check the following :)"
       options:
-        - label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
-          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, otherwise it will be closed.
+        - 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

.github/ISSUE_TEMPLATE/refactor.yml

@@ -1,44 +0,0 @@
-name: "✨ Refactor"
-description: Refactor existing code for improved readability and maintainability.
-title: "[Chore/Refactor] "
-labels:
-  - refactor
-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 read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
-          required: true
-        - label: This is only for refactoring, 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, otherwise it will be closed.
-          required: true
-        - label: 【中文用户 & Non English User】请使用英语提交，否则会被关闭 ：）
-          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
-          required: true
-  - type: textarea
-    id: description
-    attributes:
-      label: Description
-      placeholder: "Describe the refactor you are proposing."
-    validations:
-      required: true
-  - type: textarea
-    id: motivation
-    attributes:
-      label: Motivation
-      placeholder: "Explain why this refactor is necessary."
-    validations:
-      required: false
-  - type: textarea
-    id: additional-context
-    attributes:
-      label: Additional Context
-      placeholder: "Add any other context or screenshots about the request here."
-    validations:
-      required: false

.github/ISSUE_TEMPLATE/tracker.yml

@@ -1,5 +1,5 @@
 name: "👾 Tracker"
-description: For inner usages, please do not use this template.
+description: For inner usages, please donot use this template.
 title: "[Tracker] "
 labels:
   - tracker

.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/actions/setup-poetry/action.yml

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

.github/copilot-instructions.md

@@ -1,12 +0,0 @@
-# Copilot Instructions
-
-GitHub Copilot must follow the unified frontend testing requirements documented in `web/testing/testing.md`.
-
-Key reminders:
-
-- Generate tests using the mandated tech stack, naming, and code style (AAA pattern, `fireEvent`, descriptive test names, cleans up mocks).
-- Cover rendering, prop combinations, and edge cases by default; extend coverage for hooks, routing, async flows, and domain-specific components when applicable.
-- Target >95% line and branch coverage and 100% function/statement coverage.
-- Apply the project's mocking conventions for i18n, toast notifications, and Next.js utilities.
-
-Any suggestions from Copilot that conflict with `web/testing/testing.md` should be revised before acceptance.

.github/dependabot.yml

@@ -1,12 +0,0 @@
-version: 2
-updates:
-  - package-ecosystem: "npm"
-    directory: "/web"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 2
-  - package-ecosystem: "uv"
-    directory: "/api"
-    schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 2

.github/linters/editorconfig-checker.json

@@ -1,22 +0,0 @@
-{
-    "Verbose": false,
-    "Debug": false,
-    "IgnoreDefaults": false,
-    "SpacesAfterTabs": false,
-    "NoColor": false,
-    "Exclude": [
-        "^web/public/vs/",
-        "^web/public/pdf.worker.min.mjs$",
-        "web/app/components/base/icons/src/vender/"
-    ],
-    "AllowedContentTypes": [],
-    "PassedFiles": [],
-    "Disable": {
-        "EndOfLine": false,
-        "Indentation": false,
-        "IndentSize": true,
-        "InsertFinalNewline": false,
-        "TrimTrailingWhitespace": false,
-        "MaxLineLength": false
-    }
-}

.github/pull_request_template.md

@@ -1,23 +1,25 @@
-> [!IMPORTANT]
->
-> 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)
-> 1. Ensure there is an associated issue and you have been assigned to it
-> 1. Use the correct syntax to link this PR: `Fixes #<issue number>`.
+# Summary
 
-## Summary
+Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
 
-<!-- Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. -->
+> [!Tip]
+> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
 
-## Screenshots
+
+# Screenshots
 
 | Before | After |
 |--------|-------|
-| ... | ... |
+| ...    | ...   |
 
-## Checklist
+# Checklist
+
+> [!IMPORTANT]  
+> Please review the checklist below before submitting your pull request.
 
 - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
 - [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
 - [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
 - [x] I've updated the documentation accordingly.
 - [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
+

.github/workflows/api-tests.yml

@@ -1,7 +1,13 @@
 name: Run Pytest
 
 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - api/**
+      - docker/**
+      - .github/workflows/api-tests.yml
 
 concurrency:
   group: api-tests-${{ github.head_ref || github.run_id }}
@@ -11,9 +17,6 @@ jobs:
   test:
     name: API Tests
     runs-on: ubuntu-latest
-    defaults:
-      run:
-        shell: bash
     strategy:
       matrix:
         python-version:
@@ -24,29 +27,35 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
         with:
+          fetch-depth: 0
           persist-credentials: false
 
-      - name: Setup UV and Python
-        uses: astral-sh/setup-uv@v6
+      - name: Setup Poetry and Python ${{ matrix.python-version }}
+        uses: ./.github/actions/setup-poetry
         with:
-          enable-cache: true
           python-version: ${{ matrix.python-version }}
-          cache-dependency-glob: api/uv.lock
+          poetry-lockfile: api/poetry.lock
 
-      - name: Check UV lockfile
-        run: uv lock --project api --check
+      - name: Check Poetry lockfile
+        run: |
+          poetry check -C api --lock
+          poetry show -C api
 
       - name: Install dependencies
-        run: uv sync --project api --dev
+        run: poetry install -C api --with dev
 
-      - name: Run pyrefly check
-        run: |
-          cd api
-          uv add --dev pyrefly
-          uv run pyrefly check || true
+      - name: Check dependencies in pyproject.toml
+        run: poetry run -P api bash dev/pytest/pytest_artifacts.sh
+
+      - name: Run Unit tests
+        run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh
 
       - name: Run dify config tests
-        run: uv run --project api dev/pytest/pytest_config_tests.py
+        run: poetry run -P api python dev/pytest/pytest_config_tests.py
+
+      - name: Run mypy
+        run: |
+          poetry run -C api python -m mypy --install-types --non-interactive .
 
       - name: Set up dotenvs
         run: |
@@ -62,36 +71,8 @@ jobs:
           compose-file: |
             docker/docker-compose.middleware.yaml
           services: |
-            db_postgres
-            redis
             sandbox
             ssrf_proxy
 
-      - name: setup test config
-        run: |
-          cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
-
       - name: Run Workflow
-        run: uv run --project api bash dev/pytest/pytest_workflow.sh
-
-      - name: Run Tool
-        run: uv run --project api bash dev/pytest/pytest_tools.sh
-
-      - name: Run TestContainers
-        run: uv run --project api bash dev/pytest/pytest_testcontainers.sh
-
-      - name: Run Unit tests
-        run: |
-          uv run --project api bash dev/pytest/pytest_unit_tests.sh
-
-      - name: Coverage Summary
-        run: |
-          set -x
-          # Extract coverage percentage and create a summary
-          TOTAL_COVERAGE=$(python -c 'import json; print(json.load(open("coverage.json"))["totals"]["percent_covered_display"])')
-
-          # Create a detailed coverage summary
-          echo "### Test Coverage Summary :test_tube:" >> $GITHUB_STEP_SUMMARY
-          echo "Total Coverage: ${TOTAL_COVERAGE}%" >> $GITHUB_STEP_SUMMARY
-          uv run --project api coverage report --format=markdown >> $GITHUB_STEP_SUMMARY
-
+        run: poetry run -P api bash dev/pytest/pytest_workflow.sh

.github/workflows/autofix.yml

@@ -1,90 +0,0 @@
-name: autofix.ci
-on:
-  pull_request:
-    branches: ["main"]
-  push:
-    branches: ["main"]
-permissions:
-  contents: read
-
-jobs:
-  autofix:
-    if: github.repository == 'langgenius/dify'
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      # Use uv to ensure we have the same ruff version in CI and locally.
-      - uses: astral-sh/setup-uv@v6
-        with:
-          python-version: "3.11"
-      - run: |
-          cd api
-          uv sync --dev
-          # fmt first to avoid line too long
-          uv run ruff format ..
-          # Fix lint errors
-          uv run ruff check --fix .
-          # Format code
-          uv run ruff format ..
-
-      - name: count migration progress
-        run: |
-          cd api
-          ./cnt_base.sh
-
-      - name: ast-grep
-        run: |
-          uvx --from ast-grep-cli sg --pattern 'db.session.query($WHATEVER).filter($HERE)' --rewrite 'db.session.query($WHATEVER).where($HERE)' -l py --update-all
-          uvx --from ast-grep-cli sg --pattern 'session.query($WHATEVER).filter($HERE)' --rewrite 'session.query($WHATEVER).where($HERE)' -l py --update-all
-          uvx --from ast-grep-cli sg -p '$A = db.Column($$$B)' -r '$A = mapped_column($$$B)' -l py --update-all
-          uvx --from ast-grep-cli sg -p '$A : $T = db.Column($$$B)' -r '$A : $T = mapped_column($$$B)' -l py --update-all
-          # Convert Optional[T] to T | None (ignoring quoted types)
-          cat > /tmp/optional-rule.yml << 'EOF'
-          id: convert-optional-to-union
-          language: python
-          rule:
-            kind: generic_type
-            all:
-              - has:
-                  kind: identifier
-                  pattern: Optional
-              - has:
-                  kind: type_parameter
-                  has:
-                    kind: type
-                    pattern: $T
-          fix: $T | None
-          EOF
-          uvx --from ast-grep-cli sg scan --inline-rules "$(cat /tmp/optional-rule.yml)" --update-all
-          # Fix forward references that were incorrectly converted (Python doesn't support "Type" | None syntax)
-          find . -name "*.py" -type f -exec sed -i.bak -E 's/"([^"]+)" \| None/Optional["\1"]/g; s/'"'"'([^'"'"']+)'"'"' \| None/Optional['"'"'\1'"'"']/g' {} \;
-          find . -name "*.py.bak" -type f -delete
-
-      - name: mdformat
-        run: |
-          uvx mdformat .
-
-      - name: Install pnpm
-        uses: pnpm/action-setup@v4
-        with:
-          package_json_file: web/package.json
-          run_install: false
-
-      - name: Setup NodeJS
-        uses: actions/setup-node@v4
-        with:
-          node-version: 22
-          cache: pnpm
-          cache-dependency-path: ./web/package.json
-
-      - name: Web dependencies
-        working-directory: ./web
-        run: pnpm install --frozen-lockfile
-
-      - name: oxlint
-        working-directory: ./web
-        run: |
-          pnpx oxlint --fix
-
-      - uses: autofix-ci/action@635ffb0c9798bd160680f18fd73371e355b85f27

.github/workflows/build-push.yml

@@ -4,12 +4,10 @@ on:
   push:
     branches:
       - "main"
-      - "deploy/**"
-      - "build/**"
-      - "release/e-*"
-      - "hotfix/**"
-    tags:
-      - "*"
+      - "deploy/dev"
+      - "release/1.0.1-fix1"
+  release:
+    types: [published]
 
 concurrency:
   group: build-push-${{ github.head_ref || github.run_id }}

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

@@ -1,14 +1,20 @@
 name: DB Migration Test
 
 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
+      - plugins/beta
+    paths:
+      - api/migrations/**
+      - .github/workflows/db-migration-test.yml
 
 concurrency:
   group: db-migration-test-${{ github.ref }}
   cancel-in-progress: true
 
 jobs:
-  db-migration-test-postgres:
+  db-migration-test:
     runs-on: ubuntu-latest
 
     steps:
@@ -18,21 +24,13 @@ jobs:
           fetch-depth: 0
           persist-credentials: false
 
-      - name: Setup UV and Python
-        uses: astral-sh/setup-uv@v6
+      - name: Setup Poetry and Python
+        uses: ./.github/actions/setup-poetry
         with:
-          enable-cache: true
-          python-version: "3.12"
-          cache-dependency-glob: api/uv.lock
+          poetry-lockfile: api/poetry.lock
 
       - name: Install dependencies
-        run: uv sync --project api
-      - name: Ensure Offline migration are supported
-        run: |
-          # upgrade
-          uv run --directory api flask db upgrade 'base:head' --sql
-          # downgrade
-          uv run --directory api flask db downgrade 'head:base' --sql
+        run: poetry install -C api
 
       - name: Prepare middleware env
         run: |
@@ -45,7 +43,7 @@ jobs:
           compose-file: |
             docker/docker-compose.middleware.yaml
           services: |
-            db_postgres
+            db
             redis
 
       - name: Prepare configs
@@ -56,61 +54,6 @@ jobs:
       - name: Run DB Migration
         env:
           DEBUG: true
-        run: uv run --directory api flask upgrade-db
-
-  db-migration-test-mysql:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
-
-      - name: Setup UV and Python
-        uses: astral-sh/setup-uv@v6
-        with:
-          enable-cache: true
-          python-version: "3.12"
-          cache-dependency-glob: api/uv.lock
-
-      - name: Install dependencies
-        run: uv sync --project api
-      - name: Ensure Offline migration are supported
-        run: |
-          # upgrade
-          uv run --directory api flask db upgrade 'base:head' --sql
-          # downgrade
-          uv run --directory api flask db downgrade 'head:base' --sql
-
-      - name: Prepare middleware env for MySQL
-        run: |
-          cd docker
-          cp middleware.env.example middleware.env
-          sed -i 's/DB_TYPE=postgresql/DB_TYPE=mysql/' middleware.env
-          sed -i 's/DB_HOST=db_postgres/DB_HOST=db_mysql/' middleware.env
-          sed -i 's/DB_PORT=5432/DB_PORT=3306/' middleware.env
-          sed -i 's/DB_USERNAME=postgres/DB_USERNAME=mysql/' middleware.env
-
-      - name: Set up Middlewares
-        uses: hoverkraft-tech/compose-action@v2.0.2
-        with:
-          compose-file: |
-            docker/docker-compose.middleware.yaml
-          services: |
-            db_mysql
-            redis
-
-      - name: Prepare configs for MySQL
         run: |
           cd api
-          cp .env.example .env
-          sed -i 's/DB_TYPE=postgresql/DB_TYPE=mysql/' .env
-          sed -i 's/DB_PORT=5432/DB_PORT=3306/' .env
-          sed -i 's/DB_USERNAME=postgres/DB_USERNAME=root/' .env
-
-      - name: Run DB Migration
-        env:
-          DEBUG: true
-        run: uv run --directory api flask upgrade-db
+          poetry run python -m flask upgrade-db

.github/workflows/deploy-dev.yml

@@ -12,8 +12,7 @@ jobs:
   deploy:
     runs-on: ubuntu-latest
     if: |
-      github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.head_branch == 'deploy/dev'
+      github.event.workflow_run.conclusion == 'success'
     steps:
       - name: Deploy to server
         uses: appleboy/ssh-action@v0.1.8

.github/workflows/deploy-enterprise.yml

@@ -1,41 +0,0 @@
-name: Deploy Enterprise
-
-permissions:
-  contents: read
-
-on:
-  workflow_run:
-    workflows: ["Build and Push API & Web"]
-    branches:
-      - "deploy/enterprise"
-    types:
-      - completed
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    if: |
-      github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.head_branch == 'deploy/enterprise'
-
-    steps:
-      - name: trigger deployments
-        env:
-          DEV_ENV_ADDRS: ${{ vars.DEV_ENV_ADDRS }}
-          DEPLOY_SECRET: ${{ secrets.DEPLOY_SECRET }}
-        run: |
-          IFS=',' read -ra ENDPOINTS <<< "${DEV_ENV_ADDRS:-}"
-          BODY='{"project":"dify-api","tag":"deploy-enterprise"}'
-
-          for ENDPOINT in "${ENDPOINTS[@]}"; do
-            ENDPOINT="$(echo "$ENDPOINT" | xargs)"
-            [ -z "$ENDPOINT" ] && continue
-
-            API_SIGNATURE=$(printf '%s' "$BODY" | openssl dgst -sha256 -hmac "$DEPLOY_SECRET" | awk '{print "sha256="$2}')
-
-            curl -sSf -X POST \
-              -H "Content-Type: application/json" \
-              -H "X-Hub-Signature-256: $API_SIGNATURE" \
-              -d "$BODY" \
-              "$ENDPOINT"
-          done

.github/workflows/deploy-trigger-dev.yml

@@ -1,28 +0,0 @@
-name: Deploy Trigger Dev
-
-permissions:
-  contents: read
-
-on:
-  workflow_run:
-    workflows: ["Build and Push API & Web"]
-    branches:
-      - "deploy/trigger-dev"
-    types:
-      - completed
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    if: |
-      github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.head_branch == 'deploy/trigger-dev'
-    steps:
-      - name: Deploy to server
-        uses: appleboy/ssh-action@v0.1.8
-        with:
-          host: ${{ secrets.TRIGGER_SSH_HOST }}
-          username: ${{ secrets.SSH_USER }}
-          key: ${{ secrets.SSH_PRIVATE_KEY }}
-          script: |
-            ${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}

.github/workflows/docker-build.yml

@@ -42,7 +42,6 @@ jobs:
         with:
           push: false
           context: "{{defaultContext}}:${{ matrix.context }}"
-          file: "${{ matrix.file }}"
           platforms: ${{ matrix.platform }}
           cache-from: type=gha
           cache-to: type=gha,mode=max

.github/workflows/expose_service_ports.sh

@@ -1,7 +1,6 @@
 #!/bin/bash
 
 yq eval '.services.weaviate.ports += ["8080:8080"]' -i docker/docker-compose.yaml
-yq eval '.services.weaviate.ports += ["50051:50051"]' -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
@@ -11,7 +10,5 @@ yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-com
 yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
 yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
 yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
-yq eval '.services.oceanbase.ports += ["2881:2881"]' -i docker/docker-compose.yaml
-yq eval '.services.opengauss.ports += ["6600:6600"]' -i docker/docker-compose.yaml
 
-echo "Ports exposed for sandbox, weaviate (HTTP 8080, gRPC 50051), tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase, opengauss"
+echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase"

.github/workflows/main-ci.yml

@@ -1,78 +0,0 @@
-name: Main CI Pipeline
-
-on:
-  pull_request:
-    branches: ["main"]
-  push:
-    branches: ["main"]
-
-permissions:
-  contents: write
-  pull-requests: write
-  checks: write
-  statuses: write
-
-concurrency:
-  group: main-ci-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  # Check which paths were changed to determine which tests to run
-  check-changes:
-    name: Check Changed Files
-    runs-on: ubuntu-latest
-    outputs:
-      api-changed: ${{ steps.changes.outputs.api }}
-      web-changed: ${{ steps.changes.outputs.web }}
-      vdb-changed: ${{ steps.changes.outputs.vdb }}
-      migration-changed: ${{ steps.changes.outputs.migration }}
-    steps:
-      - uses: actions/checkout@v4
-      - uses: dorny/paths-filter@v3
-        id: changes
-        with:
-          filters: |
-            api:
-              - 'api/**'
-              - 'docker/**'
-              - '.github/workflows/api-tests.yml'
-            web:
-              - 'web/**'
-            vdb:
-              - 'api/core/rag/datasource/**'
-              - 'docker/**'
-              - '.github/workflows/vdb-tests.yml'
-              - 'api/uv.lock'
-              - 'api/pyproject.toml'
-            migration:
-              - 'api/migrations/**'
-              - '.github/workflows/db-migration-test.yml'
-
-  # Run tests in parallel
-  api-tests:
-    name: API Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.api-changed == 'true'
-    uses: ./.github/workflows/api-tests.yml
-
-  web-tests:
-    name: Web Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.web-changed == 'true'
-    uses: ./.github/workflows/web-tests.yml
-
-  style-check:
-    name: Style Check
-    uses: ./.github/workflows/style.yml
-
-  vdb-tests:
-    name: VDB Tests
-    needs: check-changes
-    if: needs.check-changes.outputs.vdb-changed == 'true'
-    uses: ./.github/workflows/vdb-tests.yml
-
-  db-migration-test:
-    name: DB Migration Test
-    needs: check-changes
-    if: needs.check-changes.outputs.migration-changed == 'true'
-    uses: ./.github/workflows/db-migration-test.yml

.github/workflows/style.yml

@@ -1,17 +1,14 @@
 name: Style check
 
 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
 
 concurrency:
   group: style-${{ github.head_ref || github.run_id }}
   cancel-in-progress: true
 
-permissions:
-  checks: write
-  statuses: write
-  contents: read
-
 jobs:
   python-style:
     name: Python Style
@@ -21,43 +18,39 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
         with:
+          fetch-depth: 0
           persist-credentials: false
 
       - name: Check changed files
         id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
         with:
           files: |
             api/**
             .github/workflows/style.yml
 
-      - name: Setup UV and Python
+      - name: Setup Poetry and Python
         if: steps.changed-files.outputs.any_changed == 'true'
-        uses: astral-sh/setup-uv@v6
-        with:
-          enable-cache: false
-          python-version: "3.12"
-          cache-dependency-glob: api/uv.lock
+        uses: ./.github/actions/setup-poetry
 
       - name: Install dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: uv sync --project api --dev
+        run: poetry install -C api --only lint
 
-      - name: Run Import Linter
+      - name: Ruff check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: uv run --directory api --dev lint-imports
-
-      - name: Run Basedpyright Checks
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: dev/basedpyright-check
-
-      - name: Run Mypy Type Checks
-        if: steps.changed-files.outputs.any_changed == 'true'
-        run: uv --directory api run mypy --exclude-gitignore --exclude 'tests/' --exclude 'migrations/' --check-untyped-defs --disable-error-code=import-untyped .
+        run: |
+          poetry run -C api ruff --version
+          poetry run -C api ruff check ./
+          poetry run -C api ruff format --check ./
 
       - name: Dotenv check
         if: steps.changed-files.outputs.any_changed == 'true'
-        run: uv run --project api dotenv-linter ./api/.env.example ./web/.env.example
+        run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
+
+      - name: Lint hints
+        if: failure()
+        run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
 
   web-style:
     name: Web Style
@@ -70,43 +63,36 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
         with:
+          fetch-depth: 0
           persist-credentials: false
 
       - name: Check changed files
         id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
         with:
           files: web/**
 
       - name: Install pnpm
         uses: pnpm/action-setup@v4
         with:
-          package_json_file: web/package.json
+          version: 10
           run_install: false
 
       - name: Setup NodeJS
         uses: actions/setup-node@v4
         if: steps.changed-files.outputs.any_changed == 'true'
         with:
-          node-version: 22
+          node-version: 20
           cache: pnpm
           cache-dependency-path: ./web/package.json
 
       - name: Web dependencies
         if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
         run: pnpm install --frozen-lockfile
 
       - name: Web style check
         if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
-        run: |
-          pnpm run lint
-
-      - name: Web type check
-        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
-        run: pnpm run type-check
+        run: pnpm run lint
 
   docker-compose-template:
     name: Docker Compose Template
@@ -116,11 +102,12 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
         with:
+          fetch-depth: 0
           persist-credentials: false
 
       - name: Check changed files
         id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
         with:
           files: |
             docker/generate_docker_compose
@@ -151,7 +138,7 @@ jobs:
 
       - name: Check changed files
         id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
         with:
           files: |
             **.sh
@@ -159,16 +146,13 @@ jobs:
             **.yml
             **Dockerfile
             dev/**
-            .editorconfig
 
       - name: Super-linter
-        uses: super-linter/super-linter/slim@v8
+        uses: super-linter/super-linter/slim@v7
         if: steps.changed-files.outputs.any_changed == 'true'
         env:
           BASH_SEVERITY: warning
-          DEFAULT_BRANCH: origin/main
-          EDITORCONFIG_FILE_NAME: editorconfig-checker.json
-          FILTER_REGEX_INCLUDE: pnpm-lock.yaml
+          DEFAULT_BRANCH: main
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           IGNORE_GENERATED_FILES: true
           IGNORE_GITIGNORED_FILES: true
@@ -177,6 +161,5 @@ jobs:
           # FIXME: temporarily disabled until api-docker.yaml's run script is fixed for shellcheck
           # VALIDATE_GITHUB_ACTIONS: true
           VALIDATE_DOCKERFILE_HADOLINT: true
-          VALIDATE_EDITORCONFIG: true
           VALIDATE_XML: true
           VALIDATE_YAML: true

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

@@ -18,7 +18,7 @@ jobs:
 
     strategy:
       matrix:
-        node-version: [16, 18, 20, 22]
+        node-version: [16, 18, 20]
 
     defaults:
       run:
@@ -27,6 +27,7 @@ jobs:
     steps:
       - uses: actions/checkout@v4
         with:
+          fetch-depth: 0
           persist-credentials: false
 
       - name: Use Node.js ${{ matrix.node-version }}

.github/workflows/translate-i18n-base-on-english.yml

@@ -1,18 +1,13 @@
 name: Check i18n Files and Create PR
 
 on:
-  push:
+  pull_request:
+    types: [closed]
     branches: [main]
-    paths:
-      - 'web/i18n/en-US/*.ts'
-
-permissions:
-  contents: write
-  pull-requests: write
 
 jobs:
   check-and-update:
-    if: github.repository == 'langgenius/dify'
+    if: github.event.pull_request.merged == true
     runs-on: ubuntu-latest
     defaults:
       run:
@@ -20,72 +15,41 @@ jobs:
     steps:
       - uses: actions/checkout@v4
         with:
-          fetch-depth: 0
-          token: ${{ secrets.GITHUB_TOKEN }}
+          fetch-depth: 2 # last 2 commits
+          persist-credentials: false
 
       - name: Check for file changes in i18n/en-US
         id: check_files
         run: |
-          git fetch origin "${{ github.event.before }}" || true
-          git fetch origin "${{ github.sha }}" || true
-          changed_files=$(git diff --name-only "${{ github.event.before }}" "${{ github.sha }}" -- 'i18n/en-US/*.ts')
+          recent_commit_sha=$(git rev-parse HEAD)
+          second_recent_commit_sha=$(git rev-parse HEAD~1)
+          changed_files=$(git diff --name-only $recent_commit_sha $second_recent_commit_sha -- 'i18n/en-US/*.ts')
           echo "Changed files: $changed_files"
           if [ -n "$changed_files" ]; then
             echo "FILES_CHANGED=true" >> $GITHUB_ENV
-            file_args=""
-            for file in $changed_files; do
-              filename=$(basename "$file" .ts)
-              file_args="$file_args --file $filename"
-            done
-            echo "FILE_ARGS=$file_args" >> $GITHUB_ENV
-            echo "File arguments: $file_args"
           else
             echo "FILES_CHANGED=false" >> $GITHUB_ENV
           fi
 
-      - name: Install pnpm
-        uses: pnpm/action-setup@v4
-        with:
-          package_json_file: web/package.json
-          run_install: false
-
       - name: Set up Node.js
         if: env.FILES_CHANGED == 'true'
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v2
         with:
           node-version: 'lts/*'
-          cache: pnpm
-          cache-dependency-path: ./web/package.json
 
       - name: Install dependencies
         if: env.FILES_CHANGED == 'true'
-        working-directory: ./web
         run: pnpm install --frozen-lockfile
 
-      - name: Generate i18n translations
+      - name: Run npm script
         if: env.FILES_CHANGED == 'true'
-        working-directory: ./web
-        run: pnpm run auto-gen-i18n ${{ env.FILE_ARGS }}
-
-      - name: Generate i18n type definitions
-        if: env.FILES_CHANGED == 'true'
-        working-directory: ./web
-        run: pnpm run gen:i18n-types
+        run: pnpm run auto-gen-i18n
 
       - name: Create Pull Request
         if: env.FILES_CHANGED == 'true'
         uses: peter-evans/create-pull-request@v6
         with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-          commit-message: 'chore(i18n): update translations based on en-US changes'
-          title: 'chore(i18n): translate i18n files and update type definitions'
-          body: |
-            This PR was automatically created to update i18n files and TypeScript type definitions based on changes in en-US locale.
-
-            **Triggered by:** ${{ github.sha }}
-
-            **Changes included:**
-            - Updated translation files for all locales
-            - Regenerated TypeScript type definitions for type safety
-          branch: chore/automated-i18n-updates-${{ github.sha }}
-          delete-branch: true
+          commit-message: Update i18n files based on en-US changes
+          title: 'chore: translate i18n files'
+          body: This PR was automatically created to update i18n files based on changes in en-US locale.
+          branch: chore/automated-i18n-updates

.github/workflows/vdb-tests.yml

@@ -1,7 +1,15 @@
 name: Run VDB Tests
 
 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - api/core/rag/datasource/**
+      - docker/**
+      - .github/workflows/vdb-tests.yml
+      - api/poetry.lock
+      - api/pyproject.toml
 
 concurrency:
   group: vdb-tests-${{ github.head_ref || github.run_id }}
@@ -21,27 +29,22 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
         with:
+          fetch-depth: 0
           persist-credentials: false
 
-      - name: Free Disk Space
-        uses: endersonmenezes/free-disk-space@v2
+      - name: Setup Poetry and Python ${{ matrix.python-version }}
+        uses: ./.github/actions/setup-poetry
         with:
-          remove_dotnet: true
-          remove_haskell: true
-          remove_tool_cache: true
-
-      - name: Setup UV and Python
-        uses: astral-sh/setup-uv@v6
-        with:
-          enable-cache: true
           python-version: ${{ matrix.python-version }}
-          cache-dependency-glob: api/uv.lock
+          poetry-lockfile: api/poetry.lock
 
-      - name: Check UV lockfile
-        run: uv lock --project api --check
+      - name: Check Poetry lockfile
+        run: |
+          poetry check -C api --lock
+          poetry show -C api
 
       - name: Install dependencies
-        run: uv sync --project api --dev
+        run: poetry install -C api --with dev
 
       - name: Set up dotenvs
         run: |
@@ -51,15 +54,15 @@ jobs:
       - name: Expose Service Ports
         run: sh .github/workflows/expose_service_ports.sh
 
-#      - name: Set up Vector Store (TiDB)
-#        uses: hoverkraft-tech/compose-action@v2.0.2
-#        with:
-#          compose-file: docker/tidb/docker-compose.yaml
-#          services: |
-#            tidb
-#            tiflash
+      - name: Set up Vector Store (TiDB)
+        uses: hoverkraft-tech/compose-action@v2.0.2
+        with:
+          compose-file: docker/tidb/docker-compose.yaml
+          services: |
+            tidb
+            tiflash
 
-      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase, OceanBase)
+      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
         uses: hoverkraft-tech/compose-action@v2.0.2
         with:
           compose-file: |
@@ -75,16 +78,9 @@ jobs:
             pgvector
             chroma
             elasticsearch
-            oceanbase
 
-      - name: setup test config
-        run: |
-          echo $(pwd)
-          ls -lah .
-          cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
-
-#      - name: Check VDB Ready (TiDB)
-#        run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
+      - name: Check TiDB Ready
+        run: poetry run -P api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
 
       - name: Test Vector Stores
-        run: uv run --project api bash dev/pytest/pytest_vdb.sh
+        run: poetry run -P api bash dev/pytest/pytest_vdb.sh

.github/workflows/web-tests.yml

@@ -1,7 +1,11 @@
 name: Web Tests
 
 on:
-  workflow_call:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - web/**
 
 concurrency:
   group: web-tests-${{ github.head_ref || github.run_id }}
@@ -19,40 +23,33 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
         with:
+          fetch-depth: 0
           persist-credentials: false
 
       - name: Check changed files
         id: changed-files
-        uses: tj-actions/changed-files@v46
+        uses: tj-actions/changed-files@v45
         with:
           files: web/**
+      # to run pnpm, should install package canvas, but it always install failed on amd64 under ubuntu-latest
+      # - name: Install pnpm
+      #   uses: pnpm/action-setup@v4
+      #   with:
+      #     version: 10
+      #     run_install: false
 
-      - name: Install pnpm
-        if: steps.changed-files.outputs.any_changed == 'true'
-        uses: pnpm/action-setup@v4
-        with:
-          package_json_file: web/package.json
-          run_install: false
+      # - name: Setup Node.js
+      #   uses: actions/setup-node@v4
+      #   if: steps.changed-files.outputs.any_changed == 'true'
+      #   with:
+      #     node-version: 20
+      #     cache: pnpm
+      #     cache-dependency-path: ./web/package.json
 
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        if: steps.changed-files.outputs.any_changed == 'true'
-        with:
-          node-version: 22
-          cache: pnpm
-          cache-dependency-path: ./web/package.json
+      # - name: Install dependencies
+      #   if: steps.changed-files.outputs.any_changed == 'true'
+      #   run: pnpm install --frozen-lockfile
 
-      - name: Install dependencies
-        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
-        run: pnpm install --frozen-lockfile
-
-      - name: Check i18n types synchronization
-        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
-        run: pnpm run check:i18n-types
-
-      - name: Run tests
-        if: steps.changed-files.outputs.any_changed == 'true'
-        working-directory: ./web
-        run: pnpm test
+      # - name: Run tests
+      #   if: steps.changed-files.outputs.any_changed == 'true'
+      #   run: pnpm test

.gitignore

@@ -6,9 +6,6 @@ __pycache__/
 # C extensions
 *.so
 
-# *db files
-*.db
-
 # Distribution / packaging
 .Python
 build/
@@ -49,7 +46,6 @@ htmlcov/
 .cache
 nosetests.xml
 coverage.xml
-coverage.json
 *.cover
 *.py,cover
 .hypothesis/
@@ -100,7 +96,6 @@ __pypackages__/
 
 # Celery stuff
 celerybeat-schedule
-celerybeat-schedule.db
 celerybeat.pid
 
 # SageMath parsed files
@@ -108,7 +103,6 @@ celerybeat.pid
 
 # Environments
 .env
-.env-local
 .venv
 env/
 venv/
@@ -127,12 +121,10 @@ venv.bak/
 # mkdocs documentation
 /site
 
-# type checking
+# mypy
 .mypy_cache/
 .dmypy.json
 dmypy.json
-pyrightconfig.json
-!api/pyrightconfig.json
 
 # Pyre type checker
 .pyre/
@@ -185,9 +177,6 @@ docker/volumes/pgvecto_rs/data/*
 docker/volumes/couchbase/*
 docker/volumes/oceanbase/*
 docker/volumes/plugin_daemon/*
-docker/volumes/matrixone/*
-docker/volumes/mysql/*
-docker/volumes/seekdb/*
 !docker/volumes/oceanbase/init.d
 
 docker/nginx/conf.d/default.conf
@@ -201,46 +190,15 @@ sdks/python-client/dist
 sdks/python-client/dify_client.egg-info
 
 .vscode/*
-!.vscode/launch.json.template
-!.vscode/README.md
+!.vscode/launch.json
+pyrightconfig.json
 api/.vscode
-web/.vscode
-# vscode Code History Extension
-.history
 
 .idea/
+.vscode
 
 # pnpm
 /.pnpm-store
 
 # plugin migrate
 plugins.jsonl
-
-# mise
-mise.toml
-
-# Next.js build output
-.next/
-
-# PWA generated files
-web/public/sw.js
-web/public/sw.js.map
-web/public/workbox-*.js
-web/public/workbox-*.js.map
-web/public/fallback-*.js
-
-# AI Assistant
-.roo/
-api/.env.backup
-/clickzetta
-
-# Benchmark
-scripts/stress-test/setup/config/
-scripts/stress-test/reports/
-
-# mcp
-.playwright-mcp/
-.serena/
-
-# settings
-*.local.json

.mcp.json

@@ -1,34 +0,0 @@
-{
-    "mcpServers": {
-      "context7": {
-        "type": "http",
-        "url": "https://mcp.context7.com/mcp"
-      },
-      "sequential-thinking": {
-        "type": "stdio",
-        "command": "npx",
-        "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
-        "env": {}
-      },
-      "github": {
-        "type": "stdio",
-        "command": "npx",
-        "args": ["-y", "@modelcontextprotocol/server-github"],
-        "env": {
-          "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
-        }
-      },
-      "fetch": {
-        "type": "stdio",
-        "command": "uvx",
-        "args": ["mcp-server-fetch"],
-        "env": {}
-      },
-      "playwright": {
-        "type": "stdio",
-        "command": "npx",
-        "args": ["-y", "@playwright/mcp@latest"],
-        "env": {}
-      }
-    }
-  }

.vscode/README.md

@@ -1,14 +0,0 @@
-# Debugging with VS Code
-
-This `launch.json.template` file provides various debug configurations for the Dify project within VS Code / Cursor. To use these configurations, you should copy the contents of this file into a new file named `launch.json` in the same `.vscode` directory.
-
-## How to Use
-
-1. **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory.
-1. **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file.
-1. **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D).
-1. **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button.
-
-## Tips
-
-- If you need to debug with Edge browser instead of Chrome, modify the `serverReadyAction` configuration in the "Next.js: debug full stack" section, change `"debugWithChrome"` to `"debugWithEdge"` to use Microsoft Edge for debugging.

.vscode/launch.json.template

@@ -1,65 +0,0 @@
-{
-    "version": "0.2.0",
-    "configurations": [
-        {
-            "name": "Python: Flask API",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "flask",
-            "env": {
-                "FLASK_APP": "app.py",
-                "FLASK_ENV": "development"
-            },
-            "args": [
-                "run",
-                "--host=0.0.0.0",
-                "--port=5001",
-                "--no-debugger",
-                "--no-reload"
-            ],
-            "jinja": true,
-            "justMyCode": true,
-            "cwd": "${workspaceFolder}/api",
-            "python": "${workspaceFolder}/api/.venv/bin/python"
-        },
-        {
-            "name": "Python: Celery Worker (Solo)",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "celery",
-            "env": {},
-            "args": [
-                "-A",
-                "app.celery",
-                "worker",
-                "-P",
-                "solo",
-                "-c",
-                "1",
-                "-Q",
-                "dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor",
-                "--loglevel",
-                "INFO"
-            ],
-            "justMyCode": false,
-            "cwd": "${workspaceFolder}/api",
-            "python": "${workspaceFolder}/api/.venv/bin/python"
-        },
-        {
-            "name": "Next.js: debug full stack",
-            "type": "node",
-            "request": "launch",
-            "program": "${workspaceFolder}/web/node_modules/next/dist/bin/next",
-            "runtimeArgs": ["--inspect"],
-            "skipFiles": ["<node_internals>/**"],
-            "serverReadyAction": {
-              "action": "debugWithChrome",
-              "killOnServerStop": true,
-              "pattern": "- Local:.+(https?://.+)",
-              "uriFormat": "%s",
-              "webRoot": "${workspaceFolder}/web"
-            },
-            "cwd": "${workspaceFolder}/web"
-          }
-    ]
-}

.windsurf/rules/testing.md

@@ -1,5 +0,0 @@
-# Windsurf Testing Rules
-
-- Use `web/testing/testing.md` as the single source of truth for frontend automated testing.
-- Honor every requirement in that document when generating or accepting tests.
-- When proposing or saving tests, re-read that document and follow every requirement.

AGENTS.md

@@ -1,54 +0,0 @@
-# AGENTS.md
-
-## Project Overview
-
-Dify is an open-source platform for developing LLM applications with an intuitive interface combining agentic AI workflows, RAG pipelines, agent capabilities, and model management.
-
-The codebase is split into:
-
-- **Backend API** (`/api`): Python Flask application organized with Domain-Driven Design
-- **Frontend Web** (`/web`): Next.js 15 application using TypeScript and React 19
-- **Docker deployment** (`/docker`): Containerized deployment configurations
-
-## Backend Workflow
-
-- Run backend CLI commands through `uv run --project api <command>`.
-
-- Before submission, all backend modifications must pass local checks: `make lint`, `make type-check`, and `uv run --project api --dev dev/pytest/pytest_unit_tests.sh`.
-
-- Use Makefile targets for linting and formatting; `make lint` and `make type-check` cover the required checks.
-
-- Integration tests are CI-only and are not expected to run in the local environment.
-
-## Frontend Workflow
-
-```bash
-cd web
-pnpm lint
-pnpm lint:fix
-pnpm test
-```
-
-## Testing & Quality Practices
-
-- Follow TDD: red → green → refactor.
-- Use `pytest` for backend tests with Arrange-Act-Assert structure.
-- Enforce strong typing; avoid `Any` and prefer explicit type annotations.
-- Write self-documenting code; only add comments that explain intent.
-
-## Language Style
-
-- **Python**: Keep type hints on functions and attributes, and implement relevant special methods (e.g., `__repr__`, `__str__`).
-- **TypeScript**: Use the strict config, lean on ESLint + Prettier workflows, and avoid `any` types.
-
-## General Practices
-
-- Prefer editing existing files; add new documentation only when requested.
-- Inject dependencies through constructors and preserve clean architecture boundaries.
-- Handle errors with domain-specific exceptions at the correct layer.
-
-## Project Conventions
-
-- Backend architecture adheres to DDD and Clean Architecture principles.
-- Async work runs through Celery with Redis as the broker.
-- Frontend user-facing strings must use `web/i18n/en-US/`; avoid hardcoded text.

CLAUDE.md

@@ -1 +0,0 @@
-AGENTS.md

CONTRIBUTING.md

@@ -10,90 +10,148 @@ In terms of licensing, please take a minute to read our short [License and Contr
 
 ## Before you jump in
 
-Looking for something to tackle? Browse our [good first issues](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) and pick one to get started!
-
-Got a cool new model runtime or tool to add? Open a PR in our [plugin repo](https://github.com/langgenius/dify-plugins) and show us what you've built.
-
-Need to update an existing model runtime, tool, or squash some bugs? Head over to our [official plugin repo](https://github.com/langgenius/dify-official-plugins) and make your magic happen!
-
-Join the fun, contribute, and let's build something awesome together! 💡✨
-
-Don't forget to link an existing issue or open a new issue in the PR's description.
-
-### Bug reports
-
-> [!IMPORTANT]
-> Please make sure to include the following information when submitting a bug report:
-
-- A clear and descriptive title
-- A detailed description of the bug, including any error messages
-- Steps to reproduce the bug
-- Expected behavior
-- **Logs**, if available, for backend issues, this is really important, you can find them in docker-compose logs
-- Screenshots or videos, if applicable
-
-How we prioritize:
-
-| Issue Type | Priority |
-| ------------------------------------------------------------ | --------------- |
-| Bugs in core functions (cloud service, cannot login, applications not working, security loopholes) | Critical |
-| Non-critical bugs, performance boosts | Medium Priority |
-| Minor fixes (typos, confusing but working UI) | Low Priority |
+[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:open) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
 
 ### Feature requests
 
-> [!NOTE]
-> Please make sure to include the following information when submitting a feature request:
+* 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.
 
-- A clear and descriptive title
-- A detailed description of the feature
-- A use case for the feature
-- Any other context or screenshots about the feature request
+* If you want to pick one up from the existing issues, simply drop a comment below it saying so.
 
-How we prioritize:
+  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.
 
-| 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 |
+  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:
+
+```shell
+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:
+
+* [Docker](https://www.docker.com/)
+* [Docker Compose](https://docs.docker.com/compose/install/)
+* [Node.js v18.x (LTS)](http://nodejs.org)
+* [pnpm](https://pnpm.io/)
+* [Python](https://www.python.org/) version 3.11.x or 3.12.x
+
+### 4. Installations
+
+Dify is composed of a backend and a frontend. Navigate to the backend directory by `cd api/`, then follow the [Backend README](api/README.md) to install it. In a separate terminal, navigate to the frontend directory by `cd web/`, then follow the [Frontend README](web/README.md) to install.
+
+Check the [installation FAQ](https://docs.dify.ai/learn-more/faq/install-faq) for a list of common issues and steps to troubleshoot.
+
+### 5. Visit dify in your browser
+
+To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running.
+
+## 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.
+
+```text
+[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
+```
+
+### Frontend
+
+The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typescript and uses [Tailwind CSS](https://tailwindcss.com/) for styling. [React-i18next](https://react.i18next.com/) is used for internationalization.
+
+```text
+[web/]
+├── app                   // layouts, pages, and components
+│   ├── (commonLayout)    // common layout used throughout the app
+│   ├── (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
+```
 
 ## Submitting your PR
 
-### Pull Request Process
+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).
 
-1. Fork the repository
-1. Before you draft a PR, please create an issue to discuss the changes you want to make
-1. Create a new branch for your changes
-1. Please add tests for your changes accordingly
-1. Ensure your code passes the existing tests
-1. Please link the issue in the PR description, `fixes #<issue_number>`
-1. Get merged!
-
-### Setup the project
-
-#### Frontend
-
-For setting up the frontend service, please refer to our comprehensive [guide](https://github.com/langgenius/dify/blob/main/web/README.md) in the `web/README.md` file. This document provides detailed instructions to help you set up the frontend environment properly.
-
-**Testing**: All React components must have comprehensive test coverage. See [web/testing/testing.md](https://github.com/langgenius/dify/blob/main/web/testing/testing.md) for the canonical frontend testing guidelines and follow every requirement described there.
-
-#### Backend
-
-For setting up the backend service, kindly refer to our detailed [instructions](https://github.com/langgenius/dify/blob/main/api/README.md) in the `api/README.md` file. This document contains step-by-step guidance to help you get the backend up and running smoothly.
-
-#### Other things to note
-
-We recommend reviewing this document carefully before proceeding with the setup, as it contains essential information about:
-
-- Prerequisites and dependencies
-- Installation steps
-- Configuration details
-- Common troubleshooting tips
-
-Feel free to reach out if you encounter any issues during the setup process.
+And that's it! Once your PR is merged, you will be featured as a contributor in our [README](https://github.com/langgenius/dify/blob/main/README.md).
 
 ## Getting Help
 
-If you ever get stuck or get a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.
+If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.

CONTRIBUTING_CN.md

@@ -0,0 +1,154 @@
+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。
+
+考虑到我们的现状，我们需要灵活快速地交付，但我们也希望确保像你这样的贡献者在贡献过程中获得尽可能顺畅的体验。我们为此编写了这份贡献指南，旨在让你熟悉代码库和我们与贡献者的合作方式，以便你能快速进入有趣的部分。
+
+这份指南，就像 Dify 本身一样，是一个不断改进的工作。如果有时它落后于实际项目，我们非常感谢你的理解，并欢迎提供任何反馈以供我们改进。
+
+在许可方面，请花一分钟阅读我们简短的 [许可证和贡献者协议](./LICENSE)。社区还遵守 [行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
+
+## 在开始之前
+
+[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:open)现有问题，或 [创建](https://github.com/langgenius/dify/issues/new/choose) 一个新问题。我们将问题分为两类：
+
+### 功能请求：
+
+* 如果您要提出新的功能请求，请解释所提议的功能的目标，并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss) 制作了一个很好的 [功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX)，可以帮助您起草需求。随时尝试一下。
+
+* 如果您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。
+
+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。
+
+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    |
+  | 有价值但不紧急                                   | 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
+```
+
+### 3. 验证依赖项
+
+Dify 依赖以下工具和库：
+
+- [Docker](https://www.docker.com/)
+- [Docker Compose](https://docs.docker.com/compose/install/)
+- [Node.js v18.x (LTS)](http://nodejs.org)
+- [pnpm](https://pnpm.io/)
+- [Python](https://www.python.org/) version 3.11.x or 3.12.x
+
+### 4. 安装
+
+Dify 由后端和前端组成。通过 `cd api/` 导航到后端目录，然后按照 [后端 README](api/README.md) 进行安装。在另一个终端中，通过 `cd web/` 导航到前端目录，然后按照 [前端 README](web/README.md) 进行安装。
+
+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。
+
+### 5. 在浏览器中访问 Dify
+
+为了验证您的设置，打开浏览器并访问 [http://localhost:3000](http://localhost:3000)（默认或您自定义的 URL 和端口）。现在您应该看到 Dify 正在运行。
+
+## 开发
+
+如果您要添加模型提供程序，请参考 [此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
+
+如果您要向 Agent 或 Workflow 添加工具提供程序，请参考 [此指南](./api/core/tools/README.md)。
+
+为了帮助您快速了解您的贡献在哪个部分，以下是 Dify 后端和前端的简要注释大纲：
+
+### 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_DE.md

@@ -0,0 +1,155 @@
+# MITWIRKEN
+
+So, du möchtest zu Dify beitragen – das ist großartig, wir können es kaum erwarten, zu sehen, was du beisteuern wirst. Als ein Startup mit begrenzter Mitarbeiterzahl und Finanzierung haben wir große Ambitionen, den intuitivsten Workflow zum Aufbau und zur Verwaltung von LLM-Anwendungen zu entwickeln. Jede Unterstützung aus der Community zählt wirklich.
+
+Dieser Leitfaden, ebenso wie Dify selbst, ist ein ständig in Entwicklung befindliches Projekt. Wir schätzen Ihr Verständnis, falls er zeitweise hinter dem tatsächlichen Projekt zurückbleibt, und freuen uns über jegliches Feedback, das uns hilft, ihn zu verbessern.
+
+Bezüglich der Lizenzierung nehmen Sie sich bitte einen Moment Zeit, um unser kurzes [License and Contributor Agreement](./LICENSE) zu lesen. Die Community hält sich außerdem an den [Code of Conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
+
+## Bevor Sie loslegen
+
+[Finde](https://github.com/langgenius/dify/issues?q=is:issue+is:open) ein bestehendes Issue, oder [öffne](https://github.com/langgenius/dify/issues/new/choose) ein neues. Wir kategorisieren Issues in zwei Typen:
+
+### Feature-Anfragen
+
+* Wenn Sie eine neue Feature-Anfrage stellen, bitten wir Sie zu erklären, was das vorgeschlagene Feature bewirken soll und so viel Kontext wie möglich bereitzustellen. [@perzeusss](https://github.com/perzeuss) hat einen soliden [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) entwickelt, der Ihnen dabei hilft, Ihre Anforderungen zu formulieren. Probieren Sie ihn gerne aus.
+
+* Wenn Sie eines der bestehenden Issues übernehmen möchten, hinterlassen Sie einfach einen Kommentar darunter, in dem Sie uns dies mitteilen.
+
+  Ein Teammitglied, das in der entsprechenden Richtung arbeitet, wird hinzugezogen. Wenn alles in Ordnung ist, gibt es das Okay, mit der Codierung zu beginnen. Wir bitten Sie, mit der Umsetzung des Features zu warten, damit keine Ihrer Arbeiten verloren gehen sollte unsererseits Änderungen vorgeschlagen werden.
+
+  Je nachdem, in welchen Bereich das vorgeschlagene Feature fällt, können Sie mit verschiedenen Teammitgliedern sprechen. Hier ist eine Übersicht der Bereiche, an denen unsere Teammitglieder derzeit arbeiten:
+
+  | 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           |
+
+  Wie wir Prioritäten setzen:
+
+  | Feature Type                                                 | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | Funktionen mit hoher Priorität, wie sie von einem Teammitglied gekennzeichnet wurden     | High Priority   |
+  | Beliebte Funktionsanfragen von unserem [Community-Feedback-Board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
+  | Nicht-Kernfunktionen und kleinere Verbesserungen                    | Low Priority    |
+  | Wertvoll, aber nicht unmittelbar                                  | Future-Feature  |
+
+### Sonstiges (e.g. bug report, performance optimization, typo correction)
+
+* Fangen Sie sofort an zu programmieren..
+
+  Wie wir Prioritäten setzen:
+
+  | Issue Type                                                   | Priority        |
+  | ------------------------------------------------------------ | --------------- |
+  | Fehler in Kernfunktionen (Anmeldung nicht möglich, Anwendungen funktionieren nicht, Sicherheitslücken) | Critical        |
+  | Nicht-kritische Fehler, Leistungsverbesserungen                     | Medium Priority |
+  | Kleinere Fehlerkorrekturen (Schreibfehler, verwirrende, aber funktionierende Benutzeroberfläche)                | Low Priority    |
+
+## Installieren
+
+Hier sind die Schritte, um Dify für die Entwicklung einzurichten:
+
+### 1. Fork dieses Repository
+
+### 2. Clone das Repo
+
+ Klonen Sie das geforkte Repository von Ihrem Terminal aus:
+
+```shell
+git clone git@github.com:<github_username>/dify.git
+```
+
+### 3. Abhängigkeiten prüfen
+
+Dify benötigt die folgenden Abhängigkeiten zum Bauen – stellen Sie sicher, dass sie auf Ihrem System installiert sind:
+
+* [Docker](https://www.docker.com/)
+* [Docker Compose](https://docs.docker.com/compose/install/)
+* [Node.js v18.x (LTS)](http://nodejs.org)
+* [pnpm](https://pnpm.io/)
+* [Python](https://www.python.org/) version 3.11.x or 3.12.x
+
+### 4. Installationen
+
+Dify setzt sich aus einem Backend und einem Frontend zusammen. Wechseln Sie in das Backend-Verzeichnis mit `cd api/` und folgen Sie der [Backend README](api/README.md) zur Installation. Öffnen Sie in einem separaten Terminal das Frontend-Verzeichnis mit `cd web/` und folgen Sie der [Frontend README](web/README.md) zur Installation.
+
+Überprüfen Sie die [Installation FAQ](https://docs.dify.ai/learn-more/faq/install-faq) für eine Liste bekannter Probleme und Schritte zur Fehlerbehebung.
+
+### 5. Besuchen Sie dify in Ihrem Browser
+
+Um Ihre Einrichtung zu validieren, öffnen Sie Ihren Browser und navigieren Sie zu [http://localhost:3000](http://localhost:3000) (Standardwert oder Ihre selbst konfigurierte URL und Port). Sie sollten nun Dify im laufenden Betrieb sehen.
+
+## Entwickeln
+
+Wenn Sie einen Modellanbieter hinzufügen, ist [dieser Leitfaden](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) für Sie.
+
+Wenn Sie einen Tool-Anbieter für Agent oder Workflow hinzufügen möchten, ist [dieser Leitfaden](./api/core/tools/README.md) für Sie.
+
+Um Ihnen eine schnelle Orientierung zu bieten, wo Ihr Beitrag passt, folgt eine kurze, kommentierte Übersicht des Backends und Frontends von Dify:
+
+### Backend
+
+Dify’s Backend ist in Python geschrieben und nutzt [Flask](https://flask.palletsprojects.com/en/3.0.x/) als Web-Framework. Es verwendet [SQLAlchemy](https://www.sqlalchemy.org/) für ORM und [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) für Task-Queueing. Die Autorisierungslogik erfolgt über Flask-login.
+
+```text
+[api/]
+├── constants             // Konstante Einstellungen, die in der gesamten Codebasis verwendet werden.
+├── controllers           // API-Routendefinitionen und Logik zur Bearbeitung von Anfragen.
+├── core                  // Orchestrierung von Kernanwendungen, Modellintegrationen und Tools.
+├── docker                // Konfigurationen im Zusammenhang mit Docker und Containerisierung.
+├── events                // Ereignisbehandlung und -verarbeitung
+├── extensions            // Erweiterungen mit Frameworks/Plattformen von Drittanbietern.
+├── fields                // Felddefinitionen für die Serialisierung/Marshalling.
+├── libs                  // Wiederverwendbare Bibliotheken und Hilfsprogramme
+├── migrations            // Skripte für die Datenbankmigration.
+├── models                // Datenbankmodelle und Schemadefinitionen.
+├── services              // Gibt die Geschäftslogik an.
+├── storage               // Speicherung privater Schlüssel.   
+├── tasks                 // Handhabung von asynchronen Aufgaben und Hintergrundaufträgen.
+└── tests
+```
+
+### Frontend
+
+Die Website basiert auf einem [Next.js](https://nextjs.org/)-Boilerplate in TypeScript und verwendet [Tailwind CSS](https://tailwindcss.com/) für das Styling. [React-i18next](https://react.i18next.com/) wird für die Internationalisierung genutzt.
+
+```text
+[web/]
+├── app                   // Layouts, Seiten und Komponenten
+│   ├── (commonLayout)    // gemeinsames Layout für die gesamte Anwendung
+│   ├── (shareLayout)     // Layouts, die speziell für tokenspezifische Sitzungen gemeinsam genutzt werden 
+│   ├── activate          // Seite aufrufen
+│   ├── components        // gemeinsam genutzt von Seiten und Layouts
+│   ├── install           // Seite installieren
+│   ├── signin            // Anmeldeseite
+│   └── styles            // global geteilte Stile
+├── assets                // Statische Vermögenswerte
+├── bin                   // Skripte, die beim Build-Schritt ausgeführt werden
+├── config                // einstellbare Einstellungen und Optionen 
+├── context               // gemeinsame Kontexte, die von verschiedenen Teilen der Anwendung verwendet werden
+├── dictionaries          // Sprachspezifische Übersetzungsdateien 
+├── docker                // Container-Konfigurationen
+├── hooks                 // Wiederverwendbare Haken
+├── i18n                  // Konfiguration der Internationalisierung
+├── models                // beschreibt Datenmodelle und Formen von API-Antworten
+├── public                // Meta-Assets wie Favicon
+├── service               // legt Formen von API-Aktionen fest
+├── test                  
+├── types                 // Beschreibungen von Funktionsparametern und Rückgabewerten
+└── utils                 // Gemeinsame Nutzenfunktionen
+```
+
+## Einreichung Ihrer PR
+
+Am Ende ist es Zeit, einen Pull Request (PR) in unserem Repository zu eröffnen. Für wesentliche Features mergen wir diese zunächst in den `deploy/dev`-Branch zum Testen, bevor sie in den `main`-Branch übernommen werden. Falls Sie auf Probleme wie Merge-Konflikte stoßen oder nicht wissen, wie man einen Pull Request erstellt, schauen Sie sich [GitHub's Pull Request Tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) an.
+
+Und das war's! Sobald Ihr PR gemerged wurde, werden Sie als Mitwirkender in unserem [README](https://github.com/langgenius/dify/blob/main/README.md) aufgeführt.
+
+## Hilfe bekommen
+
+Wenn Sie beim Beitragen jemals nicht weiter wissen oder eine brennende Frage haben, richten Sie Ihre Anfrage einfach über das entsprechende GitHub-Issue an uns oder besuchen Sie unseren [Discord](https://discord.gg/8Tpq4AcN9c) für ein kurzes Gespräch.

CONTRIBUTING_JA.md

@@ -0,0 +1,160 @@
+Dify にコントリビュートしたいとお考えなのですね。それは素晴らしいことです。
+私たちは、LLM アプリケーションの構築と管理のための最も直感的なワークフローを設計するという壮大な野望を持っています。人数も資金も限られている新興企業として、コミュニティからの支援は本当に重要です。
+
+私たちは現状を鑑み、機敏かつ迅速に開発をする必要がありますが、同時にあなた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。
+
+このガイドは Dify そのものと同様に、継続的に改善されています。実際のプロジェクトに遅れをとることがあるかもしれませんが、ご理解のほどよろしくお願いいたします。
+
+ライセンスに関しては、私たちの短い[ライセンスおよびコントリビューター規約](./LICENSE)をお読みください。また、コミュニティは[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を遵守しています。
+
+## 飛び込む前に
+
+[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:open) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。
+
+### 機能リクエスト
+
+* 新しい機能要望を出す場合は、提案する機能が何を実現するものなのかを説明し、可能な限り多くのコンテキストを含めてください。[@perzeusss](https://github.com/perzeuss)は、あなた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。
+
+* 既存の課題から 1 つ選びたい場合は、その下にコメントを書いてください。
+
+  関連する方向で作業しているチームメンバーが参加します。すべてが良好であれば、コーディングを開始する許可が与えられます。私たちが変更を提案した場合にあなた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。
+
+  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
+```
+
+### 3. 依存関係の確認
+
+Dify を構築するには次の依存関係が必要です。それらがシステムにインストールされていることを確認してください。
+
+- [Docker](https://www.docker.com/)
+- [Docker Compose](https://docs.docker.com/compose/install/)
+- [Node.js v18.x (LTS)](http://nodejs.org)
+- [pnpm](https://pnpm.io/)
+- [Python](https://www.python.org/) version 3.11.x or 3.12.x
+
+### 4. インストール
+
+Dify はバックエンドとフロントエンドから構成されています。
+まず`cd api/`でバックエンドのディレクトリに移動し、[Backend README](api/README.md)に従ってインストールします。
+次に別のターミナルで、`cd web/`でフロントエンドのディレクトリに移動し、[Frontend README](web/README.md)に従ってインストールしてください。
+
+よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/v/japanese/learn-more/faq/install-faq) を確認してください。
+
+### 5. ブラウザで dify にアクセスする
+
+設定を確認するために、ブラウザで[http://localhost:3000](http://localhost:3000)(デフォルト、または自分で設定した URL とポート)にアクセスしてください。Dify が起動して実行中であることが確認できるはずです。
+
+## 開発中
+
+モデルプロバイダーを追加する場合は、[このガイド](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)が役立ちます。
+
+Agent や Workflow にツールプロバイダーを追加する場合は、[このガイド](./api/core/tools/README.md)が役立ちます。
+
+Dify のバックエンドとフロントエンドの概要を簡単に説明します。
+
+### バックエンド
+
+Dify のバックエンドは[Flask](https://flask.palletsprojects.com/en/3.0.x/)を使って Python で書かれています。ORM には[SQLAlchemy](https://www.sqlalchemy.org/)を、タスクキューには[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)を使っています。認証ロジックは Flask-login 経由で行われます。
+
+```
+[api/]
+├── constants             // コードベース全体で使用される定数設定
+├── controllers           // APIルート定義とリクエスト処理ロジック
+├── core                  // アプリケーションの中核的な管理、モデル統合、およびツール
+├── docker                // Dockerおよびコンテナ関連の設定
+├── events                // イベントのハンドリングと処理
+├── extensions            // 第三者のフレームワーク/プラットフォームとの拡張
+├── fields                // シリアライゼーション/マーシャリング用のフィールド定義
+├── libs                  // 再利用可能なライブラリとヘルパー
+├── migrations            // データベースマイグレーションスクリプト
+├── models                // データベースモデルとスキーマ定義
+├── services              // ビジネスロジックの定義
+├── storage               // 秘密鍵の保存
+├── tasks                 // 非同期タスクとバックグラウンドジョブの処理
+└── tests                 // テスト関連のファイル
+```
+
+### フロントエンド
+
+このウェブサイトは、Typescriptベースの[Next.js](https://nextjs.org/)テンプレートを使ってブートストラップされ、[Tailwind CSS](https://tailwindcss.com/)を使ってスタイリングされています。国際化には[React-i18next](https://react.i18next.com/)を使用しています。
+
+```
+[web/]
+├── app                   // レイアウト、ページ、コンポーネント
+│   ├── (commonLayout)    // アプリ全体で共通のレイアウト
+│   ├── (shareLayout)     // トークン特有のセッションで共有されるレイアウト
+│   ├── activate          // アクティベートページ
+│   ├── components        // ページやレイアウトで共有されるコンポーネント
+│   ├── install           // インストールページ
+│   ├── signin            // サインインページ
+│   └── styles            // グローバルに共有されるスタイル
+├── assets                // 静的アセット
+├── bin                   // ビルドステップで実行されるスクリプト
+├── config                // 調整可能な設定とオプション
+├── context               // アプリの異なる部分で使用される共有コンテキスト
+├── dictionaries          // 言語別の翻訳ファイル
+├── docker                // コンテナ設定
+├── hooks                 // 再利用可能なフック
+├── i18n                  // 国際化設定
+├── models                // データモデルとAPIレスポンスの形状を記述
+├── public                // ファビコンなどのメタアセット
+├── service               // APIアクションの形状を指定
+├── test
+├── types                 // 関数のパラメータと戻り値の記述
+└── utils                 // 共有ユーティリティ関数
+```
+
+## PR を投稿する
+
+いよいよ、私たちのリポジトリにプルリクエスト (PR) を提出する時が来ました。主要な機能については、まず `deploy/dev` ブランチにマージしてテストしてから `main` ブランチにマージします。
+マージ競合などの問題が発生した場合、またはプル リクエストを開く方法がわからない場合は、[GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) をチェックしてみてください。
+
+これで完了です！あなた様の 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。

CONTRIBUTING_TW.md

@@ -0,0 +1,153 @@
+# 貢獻指南
+
+您想為 Dify 做出貢獻 - 這太棒了，我們迫不及待地想看看您的成果。作為一家人力和資金有限的初創公司，我們有宏大的抱負，希望設計出最直觀的工作流程來構建和管理 LLM 應用程式。來自社群的任何幫助都非常珍貴，真的。
+
+鑑於我們的現狀，我們需要靈活且快速地發展，但同時也希望確保像您這樣的貢獻者能夠獲得盡可能順暢的貢獻體驗。我們編寫了這份貢獻指南，目的是幫助您熟悉代碼庫以及我們如何與貢獻者合作，讓您可以更快地進入有趣的部分。
+
+這份指南，就像 Dify 本身一樣，是不斷發展的。如果有時它落後於實際項目，我們非常感謝您的理解，也歡迎任何改進的反饋。
+
+關於授權，請花一分鐘閱讀我們簡短的[授權和貢獻者協議](./LICENSE)。社群也遵守[行為準則](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
+
+## 在開始之前
+
+[尋找](https://github.com/langgenius/dify/issues?q=is:issue+is:open)現有的 issue，或[創建](https://github.com/langgenius/dify/issues/new/choose)一個新的。我們將 issues 分為 2 種類型：
+
+### 功能請求
+
+- 如果您要開啟新的功能請求，我們希望您能解釋所提議的功能要達成什麼目標，並且盡可能包含更多的相關背景資訊。[@perzeusss](https://github.com/perzeuss) 已經製作了一個實用的[功能請求輔助工具](https://udify.app/chat/MK2kVSnw1gakVwMX)，能幫助您草擬您的需求。歡迎試用。
+
+- 如果您想從現有問題中選擇一個來處理，只需在其下方留言表示即可。
+
+  相關方向的團隊成員會加入討論。如果一切順利，他們會同意您開始編寫代碼。我們要求您在得到許可前先不要開始處理該功能，以免我們提出變更時您的工作成果被浪費。
+
+  根據所提議功能的領域不同，您可能會與不同的團隊成員討論。以下是目前每位團隊成員所負責的領域概述：
+
+  | 成員                                                                                    | 負責領域                       |
+  | --------------------------------------------------------------------------------------- | ------------------------------ |
+  | [@yeuoly](https://github.com/Yeuoly)                                                    | 設計 Agents 架構               |
+  | [@jyong](https://github.com/JohnJyong)                                                  | RAG 管道設計                   |
+  | [@GarfieldDai](https://github.com/GarfieldDai)                                          | 建構工作流程編排               |
+  | [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh)           | 打造易用的前端界面             |
+  | [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 開發者體驗，各類問題的聯絡窗口 |
+  | [@takatost](https://github.com/takatost)                                                | 整體產品方向與架構             |
+
+  我們如何排定優先順序：
+
+  | 功能類型                                                                                                | 優先級   |
+  | ------------------------------------------------------------------------------------------------------- | -------- |
+  | 被團隊成員標記為高優先級的功能                                                                          | 高優先級 |
+  | 來自我們[社群回饋版](https://github.com/langgenius/dify/discussions/categories/feedbacks)的熱門功能請求 | 中優先級 |
+  | 非核心功能和次要增強                                                                                    | 低優先級 |
+  | 有價值但非急迫的功能                                                                                    | 未來功能 |
+
+### 其他事項 (例如錯誤回報、效能優化、錯字更正)
+
+- 可以直接開始編寫程式碼。
+
+  我們如何排定優先順序：
+
+  | 問題類型                                              | 優先級   |
+  | ----------------------------------------------------- | -------- |
+  | 核心功能的錯誤 (無法登入、應用程式無法運行、安全漏洞) | 重要     |
+  | 非關鍵性錯誤、效能提升                                | 中優先級 |
+  | 小修正 (錯字、令人困惑但仍可運作的使用者界面)         | 低優先級 |
+
+## 安裝
+
+以下是設置 Dify 開發環境的步驟：
+
+### 1. 分叉此存儲庫
+
+### 2. 複製代碼庫
+
+從您的終端機複製分叉的代碼庫：
+
+```shell
+git clone git@github.com:<github_username>/dify.git
+```
+
+- [Docker](https://www.docker.com/)
+- [Docker Compose](https://docs.docker.com/compose/install/)
+- [Node.js v18.x (LTS)](http://nodejs.org)
+- [pnpm](https://pnpm.io/)
+- [Python](https://www.python.org/) version 3.11.x or 3.12.x
+
+### 4. 安裝
+
+Dify 由後端和前端組成。透過 `cd api/` 導航至後端目錄，然後按照[後端 README](api/README.md)進行安裝。在另一個終端機視窗中，透過 `cd web/` 導航至前端目錄，然後按照[前端 README](web/README.md)進行安裝。
+
+查閱[安裝常見問題](https://docs.dify.ai/learn-more/faq/install-faq)了解常見問題和故障排除步驟的列表。
+
+### 5. 在瀏覽器中訪問 Dify
+
+要驗證您的設置，請在瀏覽器中訪問 [http://localhost:3000](http://localhost:3000)（預設值，或您自行設定的 URL 和埠號）。現在您應該能看到 Dify 已啟動並運行。
+
+## 開發
+
+如果您要添加模型提供者，請參考[此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
+
+如果您要為 Agent 或工作流程添加工具提供者，請參考[此指南](./api/core/tools/README.md)。
+
+為了幫助您快速找到您的貢獻適合的位置，以下是 Dify 後端和前端的簡要註解大綱：
+
+### 後端
+
+Dify 的後端使用 Python 的 [Flask](https://flask.palletsprojects.com/en/3.0.x/) 框架編寫。它使用 [SQLAlchemy](https://www.sqlalchemy.org/) 作為 ORM 工具，使用 [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) 進行任務佇列處理。授權邏輯則透過 Flask-login 實現。
+
+```text
+[api/]
+├── constants             // 整個專案中使用的常數與設定值
+├── controllers           // API 路由定義與請求處理邏輯
+├── core                  // 核心應用服務、模型整合與工具實現
+├── docker                // Docker 容器化相關設定檔案
+├── events                // 事件處理與流程管理機制
+├── extensions            // 與第三方框架或平台的整合擴充功能
+├── fields                // 資料序列化與結構定義欄位
+├── libs                  // 可重複使用的共用程式庫與輔助工具
+├── migrations            // 資料庫結構變更與遷移腳本
+├── models                // 資料庫模型與資料結構定義
+├── services              // 核心業務邏輯與功能實現
+├── storage               // 私鑰與敏感資訊儲存機制
+├── tasks                 // 非同步任務與背景作業處理器
+└── tests
+```
+
+### 前端
+
+網站基於 [Next.js](https://nextjs.org/) 的 Typescript 樣板，並使用 [Tailwind CSS](https://tailwindcss.com/) 進行樣式設計。[React-i18next](https://react.i18next.com/) 用於國際化。
+
+```text
+[web/]
+├── app                   // 頁面佈局與介面元件
+│   ├── (commonLayout)    // 應用程式共用佈局結構
+│   ├── (shareLayout)     // Token 會話專用共享佈局
+│   ├── activate          // 帳號啟用頁面
+│   ├── components        // 頁面與佈局共用元件
+│   ├── install           // 系統安裝頁面
+│   ├── signin            // 使用者登入頁面
+│   └── styles            // 全域共用樣式定義
+├── assets                // 靜態資源檔案庫
+├── bin                   // 建構流程執行腳本
+├── config                // 系統可調整設定與選項
+├── context               // 應用程式狀態共享上下文
+├── dictionaries          // 多語系翻譯詞彙庫
+├── docker                // Docker 容器設定檔
+├── hooks                 // 可重複使用的 React Hooks
+├── i18n                  // 國際化與本地化設定
+├── models                // 資料結構與 API 回應模型
+├── public                // 靜態資源與網站圖標
+├── service               // API 操作介面定義
+├── test                  // 測試用例與測試框架
+├── types                 // TypeScript 型別定義
+└── utils                 // 共用輔助功能函式庫
+```
+
+## 提交您的 PR
+
+最後，是時候向我們的存儲庫開啟拉取請求（PR）了。對於主要功能，我們會先將它們合併到 `deploy/dev` 分支進行測試，然後才會進入 `main` 分支。如果您遇到合併衝突或不知道如何開啟拉取請求等問題，請查看 [GitHub 的拉取請求教學](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)。
+
+就是這樣！一旦您的 PR 被合併，您將作為貢獻者出現在我們的 [README](https://github.com/langgenius/dify/blob/main/README.md) 中。
+
+## 獲取幫助
+
+如果您在貢獻過程中遇到困難或有迫切的問題，只需通過相關的 GitHub issue 向我們提問，或加入我們的 [Discord](https://discord.gg/8Tpq4AcN9c) 進行快速交流。

CONTRIBUTING_VI.md

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

LICENSE

@@ -10,6 +10,8 @@ a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you ma
 b. LOGO and copyright information: In the process of using Dify's frontend, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend.
     - Frontend Definition: For the purposes of this license, the "frontend" of Dify includes all components located in the `web/` directory when running Dify from the raw source code, or the "web" image when running Dify with Docker.
 
+Please contact business@dify.ai by email to inquire about licensing matters.
+
 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.

Makefile

@@ -4,77 +4,6 @@ WEB_IMAGE=$(DOCKER_REGISTRY)/dify-web
 API_IMAGE=$(DOCKER_REGISTRY)/dify-api
 VERSION=latest
 
-# Default target - show help
-.DEFAULT_GOAL := help
-
-# Backend Development Environment Setup
-.PHONY: dev-setup prepare-docker prepare-web prepare-api
-
-# Dev setup target
-dev-setup: prepare-docker prepare-web prepare-api
-	@echo "✅ Backend development environment setup complete!"
-
-# Step 1: Prepare Docker middleware
-prepare-docker:
-	@echo "🐳 Setting up Docker middleware..."
-	@cp -n docker/middleware.env.example docker/middleware.env 2>/dev/null || echo "Docker middleware.env already exists"
-	@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev up -d
-	@echo "✅ Docker middleware started"
-
-# Step 2: Prepare web environment
-prepare-web:
-	@echo "🌐 Setting up web environment..."
-	@cp -n web/.env.example web/.env 2>/dev/null || echo "Web .env already exists"
-	@cd web && pnpm install
-	@echo "✅ Web environment prepared (not started)"
-
-# Step 3: Prepare API environment
-prepare-api:
-	@echo "🔧 Setting up API environment..."
-	@cp -n api/.env.example api/.env 2>/dev/null || echo "API .env already exists"
-	@cd api && uv sync --dev
-	@cd api && uv run flask db upgrade
-	@echo "✅ API environment prepared (not started)"
-
-# Clean dev environment
-dev-clean:
-	@echo "⚠️  Stopping Docker containers..."
-	@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev down
-	@echo "🗑️  Removing volumes..."
-	@rm -rf docker/volumes/db
-	@rm -rf docker/volumes/redis
-	@rm -rf docker/volumes/plugin_daemon
-	@rm -rf docker/volumes/weaviate
-	@rm -rf api/storage
-	@echo "✅ Cleanup complete"
-
-# Backend Code Quality Commands
-format:
-	@echo "🎨 Running ruff format..."
-	@uv run --project api --dev ruff format ./api
-	@echo "✅ Code formatting complete"
-
-check:
-	@echo "🔍 Running ruff check..."
-	@uv run --project api --dev ruff check ./api
-	@echo "✅ Code check complete"
-
-lint:
-	@echo "🔧 Running ruff format, check with fixes, and import linter..."
-	@uv run --project api --dev sh -c 'ruff format ./api && ruff check --fix ./api'
-	@uv run --directory api --dev lint-imports
-	@echo "✅ Linting complete"
-
-type-check:
-	@echo "📝 Running type check with basedpyright..."
-	@uv run --directory api --dev basedpyright
-	@echo "✅ Type check complete"
-
-test:
-	@echo "🧪 Running backend unit tests..."
-	@uv run --project api --dev dev/pytest/pytest_unit_tests.sh
-	@echo "✅ Tests complete"
-
 # Build Docker images
 build-web:
 	@echo "Building web Docker image: $(WEB_IMAGE):$(VERSION)..."
@@ -110,28 +39,5 @@ build-push-web: build-web push-web
 build-push-all: build-all push-all
 	@echo "All Docker images have been built and pushed."
 
-# Help target
-help:
-	@echo "Development Setup Targets:"
-	@echo "  make dev-setup      - Run all setup steps for backend dev environment"
-	@echo "  make prepare-docker - Set up Docker middleware"
-	@echo "  make prepare-web    - Set up web environment"
-	@echo "  make prepare-api    - Set up API environment"
-	@echo "  make dev-clean      - Stop Docker middleware containers"
-	@echo ""
-	@echo "Backend Code Quality:"
-	@echo "  make format         - Format code with ruff"
-	@echo "  make check          - Check code with ruff"
-	@echo "  make lint           - Format and fix code with ruff"
-	@echo "  make type-check     - Run type checking with basedpyright"
-	@echo "  make test           - Run backend unit tests"
-	@echo ""
-	@echo "Docker Build Targets:"
-	@echo "  make build-web      - Build web Docker image"
-	@echo "  make build-api      - Build API Docker image"
-	@echo "  make build-all      - Build all Docker images"
-	@echo "  make push-all       - Push all Docker images"
-	@echo "  make build-push-all - Build and push all Docker images"
-
 # Phony targets
-.PHONY: build-web build-api push-web push-api build-all push-all build-push-all dev-setup prepare-docker prepare-web prepare-api dev-clean help format check lint type-check test
+.PHONY: build-web build-api push-web push-api build-all push-all build-push-all

README.md

@@ -1,4 +1,4 @@
-![cover-v5-optimized](./images/GitHub_README_if.png)
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
 
 <p align="center">
   📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a>
@@ -8,7 +8,7 @@
   <a href="https://cloud.dify.ai">Dify Cloud</a> ·
   <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
   <a href="https://docs.dify.ai">Documentation</a> ·
-  <a href="https://dify.ai/pricing">Dify edition overview</a>
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Enterprise inquiry</a>
 </p>
 
 <p align="center">
@@ -36,31 +36,25 @@
         <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>
-    <a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
-        <img alt="LFX Health Score" src="https://insights.linuxfoundation.org/api/badge/health-score?project=langgenius-dify"></a>
-    <a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
-        <img alt="LFX Contributors" src="https://insights.linuxfoundation.org/api/badge/contributors?project=langgenius-dify"></a>
-    <a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
-        <img alt="LFX Active Contributors" src="https://insights.linuxfoundation.org/api/badge/active-contributors?project=langgenius-dify"></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="./docs/zh-TW/README.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
-  <a href="./docs/zh-CN/README.md"><img alt="简体中文文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./docs/ja-JP/README.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./docs/es-ES/README.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./docs/fr-FR/README.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./docs/tlh/README.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./docs/ko-KR/README.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-  <a href="./docs/ar-SA/README.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
-  <a href="./docs/tr-TR/README.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
-  <a href="./docs/vi-VN/README.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
-  <a href="./docs/de-DE/README.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
-  <a href="./docs/bn-BD/README.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+  <a href="./README_TW.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
 </p>
 
-Dify is an open-source platform for developing LLM applications. Its intuitive interface combines agentic AI workflows, RAG pipelines, agent capabilities, model management, observability features, and more—allowing you to quickly move from prototype to production.
+Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
 
 ## Quick start
 
@@ -69,9 +63,9 @@ Dify is an open-source platform for developing LLM applications. Its intuitive i
 > - CPU >= 2 Core
 > - RAM >= 4 GiB
 
-<br/>
+</br>
 
-The easiest way to start the Dify server is through [Docker Compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
+The easiest way to start the Dify server is through [docker compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
 
 ```bash
 cd dify
@@ -93,6 +87,8 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
 **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).
 
@@ -113,19 +109,86 @@ Monitor and analyze application logs and performance over time. You could contin
 **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/>**
+- **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/>**
+- **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=%5BGitHub%5DBusiness%20License%20Inquiry) to discuss your 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.
+- **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
 
@@ -135,26 +198,13 @@ Star Dify on GitHub and be instantly notified of new releases.
 
 ## Advanced Setup
 
-### Custom configurations
-
 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).
 
-### Metrics Monitoring with Grafana
-
-Import the dashboard to Grafana, using Dify's PostgreSQL database as data source, to monitor metrics in granularity of apps, tenants, messages, and more.
-
-- [Grafana Dashboard by @bowenliang123](https://github.com/bowenliang123/dify-grafana-dashboard)
-
-### Deployment with Kubernetes
-
 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)
-- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
 - [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
-- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
-- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
 
 #### Using Terraform for Deployment
 
@@ -174,31 +224,18 @@ Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)
 
 ##### AWS
 
-- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
-- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
-
-#### Using Alibaba Cloud Computing Nest
-
-Quickly deploy Dify to Alibaba cloud with [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
-
-#### Using Alibaba Cloud Data Management
-
-One-Click deploy Dify to Alibaba Cloud with [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
-
-#### Deploy to AKS with Azure Devops Pipeline
-
-One-Click deploy Dify to AKS with [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
+- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
 
 ## Contributing
 
 For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
 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 translate Dify into 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-config/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
+> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
 
 ## Community & contact
 
-- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
+- [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
 - [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
 - [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
 - [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
@@ -215,8 +252,8 @@ At the same time, please consider supporting Dify by sharing it on social media
 
 ## Security disclosure
 
-To protect your privacy, please avoid posting security issues on GitHub. Instead, report issues to security@dify.ai, and our team will respond with detailed answer.
+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 licensed under the [Dify Open Source License](LICENSE), based on Apache 2.0 with additional conditions.
+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 +1,249 @@
+![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://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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
+
+انشر Dify إلى منصة السحابة بنقرة واحدة باستخدام [terraform](https://www.terraform.io/)
+
+##### Azure Global
+
+- [Azure Terraform بواسطة @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+
+- [Google Cloud Terraform بواسطة @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### استخدام AWS CDK للنشر
+
+انشر Dify على AWS باستخدام [CDK](https://aws.amazon.com/cdk/)
+
+##### AWS
+
+- [AWS CDK بواسطة @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## المساهمة
+
+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.
+
+## 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_BN.md

@@ -0,0 +1,258 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">ডিফাই ওয়ার্কফ্লো ফাইল আপলোড পরিচিতি: গুগল নোটবুক-এলএম পডকাস্ট পুনর্নির্মাণ</a>
+</p>
+
+<p align="center">
+  <a href="https://cloud.dify.ai">ডিফাই ক্লাউড</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">সেল্ফ-হোস্টিং</a> ·
+  <a href="https://docs.dify.ai">ডকুমেন্টেশন</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">ব্যাবসায়িক অনুসন্ধান</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white" 
+            alt="join Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+</p>
+
+ডিফাই একটি ওপেন-সোর্স LLM অ্যাপ ডেভেলপমেন্ট প্ল্যাটফর্ম। এটি ইন্টুইটিভ ইন্টারফেস, এজেন্টিক AI ওয়ার্কফ্লো, RAG পাইপলাইন, এজেন্ট ক্যাপাবিলিটি, মডেল ম্যানেজমেন্ট, মনিটরিং সুবিধা এবং আরও অনেক কিছু একত্রিত করে, যা দ্রুত প্রোটোটাইপ থেকে প্রোডাকশন পর্যন্ত নিয়ে যেতে সহায়তা করে।
+
+## কুইক স্টার্ট
+>
+>  ডিফাই ইনস্টল করার আগে, নিশ্চিত করুন যে আপনার মেশিন নিম্নলিখিত ন্যূনতম কনফিগারেশনের প্রয়োজনীয়তা পূরন করে :
+>
+>- সিপিউ >= 2 কোর
+>- র‍্যাম >= 4 জিবি
+
+</br>
+
+ডিফাই সার্ভার চালু করার সবচেয়ে সহজ উপায় [docker compose](docker/docker-compose.yaml) মাধ্যমে। নিম্নলিখিত কমান্ডগুলো ব্যবহার করে ডিফাই চালানোর আগে, নিশ্চিত করুন যে আপনার মেশিনে [Docker](https://docs.docker.com/get-docker/) এবং [Docker Compose](https://docs.docker.com/compose/install/) ইনস্টল করা আছে :
+```bash
+cd dify
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+চালানোর পর, আপনি আপনার ব্রাউজারে [http://localhost/install](http://localhost/install)-এ ডিফাই ড্যাশবোর্ডে অ্যাক্সেস করতে পারেন এবং ইনিশিয়ালাইজেশন প্রক্রিয়া শুরু করতে পারেন।
+
+#### সাহায্যের খোঁজে
+
+ডিফাই সেট আপ করতে সমস্যা হলে দয়া করে আমাদের [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) দেখুন। যদি তবুও সমস্যা থেকে থাকে, তাহলে [কমিউনিটি এবং আমাদের](#community--contact)  সাথে যোগাযোগ করুন।
+
+> যদি আপনি ডিফাইতে অবদান রাখতে বা অতিরিক্ত উন্নয়ন করতে চান, আমাদের [সোর্স কোড থেকে ডিপ্লয়মেন্টের গাইড](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) দেখুন।
+
+## প্রধান ফিচারসমূহ
+
+**১. ওয়ার্কফ্লো**:
+    ভিজ্যুয়াল ক্যানভাসে  AI ওয়ার্কফ্লো তৈরি এবং পরীক্ষা করুন, নিম্নলিখিত সব ফিচার এবং  তার বাইরেও আরও অনেক কিছু ব্যবহার করে।
+
+  <https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa>
+
+**২.  মডেল সাপোর্ট**:
+  GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/getting-started/readme/model-providers)।
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+**3.  প্রম্পট IDE**:
+      প্রম্পট তৈরি, মডেলের পারফরম্যান্স তুলনা এবং চ্যাট-বেজড অ্যাপে টেক্সট-টু-স্পিচের মতো  বৈশিষ্ট্য যুক্ত করার জন্য ইন্টুইটিভ ইন্টারফেস। 
+
+**4. RAG পাইপলাইন**:
+      ডকুমেন্ট ইনজেশন থেকে শুরু করে রিট্রিভ পর্যন্ত সবকিছুই বিস্তৃত RAG ক্যাপাবিলিটির আওতাভুক্ত।  PDF, PPT এবং অন্যান্য সাধারণ ডকুমেন্ট ফর্ম্যাট থেকে টেক্সট এক্সট্রাকশনের জন্য আউট-অফ-বক্স সাপোর্ট। 
+
+**5.  এজেন্ট ক্যাপাবিলিটি**:
+  LLM ফাংশন কলিং বা ReAct উপর ভিত্তি করে এজেন্ট ডিফাইন করতে পারেন এবং এজেন্টের জন্য পূর্ব-নির্মিত বা কাস্টম টুলস যুক্ত করতে পারেন। Dify AI এজেন্টদের জন্য 50+ বিল্ট-ইন টুলস সরবরাহ করে, যেমন Google Search, DALL·E, Stable Diffusion এবং WolframAlpha।
+
+**6.  এলএলএম-অপ্স**:
+      সময়ের সাথে সাথে অ্যাপ্লিকেশন লগ এবং পারফরম্যান্স মনিটর এবং বিশ্লেষণ করুন।  প্রডাকশন ডেটা এবং annotation এর উপর ভিত্তি করে প্রম্পট, ডেটাসেট এবং মডেলগুলিকে ক্রমাগত উন্নত করতে পারেন।
+
+**7. ব্যাকএন্ড-অ্যাজ-এ-সার্ভিস**:
+    ডিফাই-এর সমস্ত অফার সংশ্লিষ্ট API-সহ আছে, যাতে আপনি অনায়াসে ডিফাইকে আপনার নিজস্ব বিজনেস লজিকে ইন্টেগ্রেট করতে পারেন।
+
+## বৈশিষ্ট্য তুলনা
+
+<table style="width: 100%;">
+  <tr>
+    <th align="center">বৈশিষ্ট্য</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">প্রোগ্রামিং পদ্ধতি</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">সাপোর্টেড 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 ইঞ্জিন</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">এজেন্ট</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">ওয়ার্কফ্লো</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">অবজার্ভেবল</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">এন্টারপ্রাইজ ফিচার (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">লোকাল ডেপ্লয়মেন্ট</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## ডিফাই-এর ব্যবহার 
+
+- **ক্লাউড </br>**
+জিরো সেটাপে ব্যবহার করতে আমাদের [Dify Cloud](https://dify.ai) সার্ভিসটি ব্যবহার করতে পারেন। এখানে সেল্ফহোস্টিং-এর সকল ফিচার ও ক্যাপাবিলিটিসহ স্যান্ডবক্সে ২০০ জিপিটি-৪ কল ফ্রি পাবেন।
+
+- **সেল্ফহোস্টিং ডিফাই কমিউনিটি সংস্করণ</br>**
+সেল্ফহোস্ট করতে এই [স্টার্টার গাইড](#quick-start) ব্যবহার করে দ্রুত আপনার এনভায়রনমেন্টে ডিফাই চালান।
+আরো ইন-ডেপথ রেফারেন্সের জন্য [ডকুমেন্টেশন](https://docs.dify.ai) দেখেন।
+
+- **এন্টারপ্রাইজ / প্রতিষ্ঠানের জন্য Dify</br>**
+আমরা এন্টারপ্রাইজ/প্রতিষ্ঠান-কেন্দ্রিক সেবা প্রদান করে থাকি  । [এই চ্যাটবটের মাধ্যমে আপনার প্রশ্নগুলি আমাদের জন্য লগ করুন।](https://udify.app/chat/22L1zSxg6yW1cWQg) অথবা [আমাদের ইমেল পাঠান](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) আপনার চাহিদা সম্পর্কে আলোচনা করার জন্য। </br>
+
+  > AWS ব্যবহারকারী স্টার্টআপ এবং ছোট ব্যবসার জন্য, [AWS মার্কেটপ্লেসে Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) দেখুন এবং এক-ক্লিকের মাধ্যমে এটি আপনার নিজস্ব AWS VPC-তে ডিপ্লয় করুন। এটি একটি সাশ্রয়ী মূল্যের AMI অফার, যাতে কাস্টম লোগো এবং ব্র্যান্ডিং সহ অ্যাপ তৈরির সুবিধা আছে।
+
+## এগিয়ে থাকুন
+
+GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন এবং নতুন রিলিজের খবর তাৎক্ষণিকভাবে পান।
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+## Advanced Setup
+
+যদি আপনার কনফিগারেশনটি কাস্টমাইজ করার প্রয়োজন হয়, তাহলে অনুগ্রহ করে আমাদের [.env.example](docker/.env.example) ফাইল দেখুন এবং আপনার `.env` ফাইলে সংশ্লিষ্ট মানগুলি আপডেট করুন। এছাড়াও, আপনার নির্দিষ্ট এনভায়রনমেন্ট এবং প্রয়োজনীয়তার উপর ভিত্তি করে আপনাকে `docker-compose.yaml` ফাইলে সমন্বয় করতে হতে পারে, যেমন ইমেজ ভার্সন পরিবর্তন করা, পোর্ট ম্যাপিং করা, অথবা ভলিউম মাউন্ট করা। 
+যেকোনো পরিবর্তন করার পর, অনুগ্রহ করে `docker-compose up -d` পুনরায় চালান। ভেরিয়েবলের সম্পূর্ণ তালিকা [এখানে] (https://docs.dify.ai/getting-started/install-self-hosted/environments) খুঁজে পেতে পারেন।
+
+যদি আপনি একটি হাইলি এভেইলেবল সেটআপ কনফিগার করতে চান, তাহলে কমিউনিটি  [Helm Charts](https://helm.sh/) এবং YAML ফাইল রয়েছে যা Dify কে Kubernetes-এ ডিপ্লয় করার প্রক্রিয়া বর্ণনা করে।
+
+- [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)
+
+#### টেরাফর্ম ব্যবহার করে ডিপ্লয়
+
+[terraform](https://www.terraform.io/) ব্যবহার করে এক ক্লিকেই ক্লাউড প্ল্যাটফর্মে Dify ডিপ্লয় করুন।
+
+##### অ্যাজুর গ্লোবাল
+
+- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### গুগল ক্লাউড
+
+- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### AWS CDK ব্যবহার করে ডিপ্লয়
+
+[CDK](https://aws.amazon.com/cdk/) দিয়ে AWS-এ Dify ডিপ্লয় করুন
+
+##### AWS
+
+- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Contributing
+
+যারা কোড অবদান রাখতে চান, তাদের জন্য আমাদের [অবদান নির্দেশিকা] দেখুন (https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)।
+একই সাথে, সোশ্যাল মিডিয়া এবং ইভেন্ট এবং কনফারেন্সে এটি শেয়ার করে Dify কে সমর্থন করুন।
+
+> আমরা ম্যান্ডারিন বা ইংরেজি ছাড়া অন্য ভাষায় Dify অনুবাদ করতে সাহায্য করার জন্য অবদানকারীদের খুঁজছি। আপনি যদি সাহায্য করতে আগ্রহী হন, তাহলে আরও তথ্যের জন্য [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) দেখুন এবং আমাদের [ডিসকর্ড কমিউনিটি সার্ভার](https://discord.gg/8Tpq4AcN9c) এর `গ্লোবাল-ইউজারস` চ্যানেলে আমাদের একটি মন্তব্য করুন।
+
+## কমিউনিটি এবং যোগাযোগ
+
+- [Github Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম।
+- [GitHub Issues](https://github.com/langgenius/dify/issues). Dify.AI ব্যবহার করে আপনি যেসব বাগের সম্মুখীন হন এবং ফিচার প্রস্তাবনা।  আমাদের [অবদান নির্দেশিকা](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) দেখুন।
+- [Discord](https://discord.gg/FngNHpbcY7) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম। 
+- [X(Twitter)](https://twitter.com/dify_ai) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম। 
+
+**অবদানকারীদের তালিকা**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## স্টার হিস্ট্রি
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+## নিরাপত্তা  বিষয়ক
+
+আপনার গোপনীয়তা রক্ষা করতে, অনুগ্রহ করে GitHub-এ নিরাপত্তা সংক্রান্ত সমস্যা পোস্ট করা এড়িয়ে চলুন। পরিবর্তে, আপনার প্রশ্নগুলি <security@dify.ai> ঠিকানায় পাঠান এবং আমরা আপনাকে আরও বিস্তারিত উত্তর প্রদান করব।
+
+## লাইসেন্স
+
+এই রিপোজিটরিটি [ডিফাই ওপেন সোর্স লাইসেন্স](LICENSE) এর অধিনে , যা মূলত অ্যাপাচি ২.০, তবে কিছু অতিরিক্ত বিধিনিষেধ রয়েছে।

README_CN.md

@@ -0,0 +1,264 @@
+![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="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <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>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+</div>
+
+
+#
+
+<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>
+
+Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI 工作流、RAG 管道、Agent、模型管理、可观测性功能等，让您可以快速从原型到生产。以下是其核心功能列表：
+</br> </br>
+
+**1. 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。
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**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](#快速启动)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
+
+### 系统要求
+
+在安装 Dify 之前，请确保您的机器满足以下最低系统要求：
+
+- CPU >= 2 Core
+- RAM >= 4 GiB
+
+### 快速启动
+
+启动 Dify 服务器的最简单方法是运行我们的 [docker-compose.yml](docker/docker-compose.yaml) 文件。在运行安装命令之前，请确保您的机器上安装了 [Docker](https://docs.docker.com/get-docker/) 和 [Docker Compose](https://docs.docker.com/compose/install/)：
+
+```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。
+
+### 自定义配置
+
+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。
+
+#### 使用 Helm Chart 部署
+
+使用 [Helm Chart](https://helm.sh/) 版本或者 YAML 文件，可以在 Kubernetes 上部署 Dify。
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [YAML 文件 by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### 使用 Terraform 部署
+
+使用 [terraform](https://www.terraform.io/) 一键将 Dify 部署到云平台
+
+##### Azure Global
+- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### 使用 AWS CDK 部署
+
+使用 [CDK](https://aws.amazon.com/cdk/) 将 Dify 部署到 AWS
+
+##### AWS 
+- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Contributing
+
+对于那些想要贡献代码的人，请参阅我们的[贡献指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
+同时，请考虑通过社交媒体、活动和会议来支持 Dify 的分享。
+
+> 我们正在寻找贡献者来帮助将Dify翻译成除了中文和英文之外的其他语言。如果您有兴趣帮助，请参阅我们的[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)获取更多信息，并在我们的[Discord社区服务器](https://discord.gg/8Tpq4AcN9c)的`global-users`频道中留言。
+
+**Contributors**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## 社区与支持
+
+我们欢迎您为 Dify 做出贡献，以帮助改善 Dify。包括：提交代码、问题、新想法，或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时，我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。
+
+- [Github Discussion](https://github.com/langgenius/dify/discussions). 👉：分享您的应用程序并与社区交流。
+- [GitHub Issues](https://github.com/langgenius/dify/issues)。👉：使用 Dify.AI 时遇到的错误和问题，请参阅[贡献指南](CONTRIBUTING.md)。
+- [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。
+- [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。
+- [X(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"/>
+
+## 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。
+
+## License
+
+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_DE.md

@@ -0,0 +1,259 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Einführung in Dify Workflow File Upload: Google NotebookLM Podcast nachbilden</a>
+</p>
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Selbstgehostetes</a> ·
+  <a href="https://docs.dify.ai">Dokumentation</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Anfrage an Unternehmen</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+</p>
+
+Dify ist eine Open-Source-Plattform zur Entwicklung von LLM-Anwendungen. Ihre intuitive Benutzeroberfläche vereint agentenbasierte KI-Workflows, RAG-Pipelines, Agentenfunktionen, Modellverwaltung, Überwachungsfunktionen und mehr, sodass Sie schnell von einem Prototyp in die Produktion übergehen können.
+
+## Schnellstart
+> Bevor Sie Dify installieren, stellen Sie sicher, dass Ihr System die folgenden Mindestanforderungen erfüllt:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4 GiB
+
+</br>
+
+Der einfachste Weg, den Dify-Server zu starten, ist über [docker compose](docker/docker-compose.yaml). Stellen Sie vor dem Ausführen von Dify mit den folgenden Befehlen sicher, dass [Docker](https://docs.docker.com/get-docker/) und [Docker Compose](https://docs.docker.com/compose/install/) auf Ihrem System installiert sind:
+
+```bash
+cd dify
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+Nachdem Sie den Server gestartet haben, können Sie über Ihren Browser auf das Dify Dashboard unter [http://localhost/install](http://localhost/install) zugreifen und den Initialisierungsprozess starten.
+
+#### Hilfe suchen
+Bitte beachten Sie unsere [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs), wenn Sie Probleme bei der Einrichtung von Dify haben. Wenden Sie sich an [die Community und uns](#community--contact), falls weiterhin Schwierigkeiten auftreten.
+
+> Wenn Sie zu Dify beitragen oder zusätzliche Entwicklungen durchführen möchten, lesen Sie bitte unseren [Leitfaden zur Bereitstellung aus dem Quellcode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code).
+
+## Wesentliche Merkmale
+**1. Workflow**: 
+  Erstellen und testen Sie leistungsstarke KI-Workflows auf einer visuellen Oberfläche, wobei Sie alle der folgenden Funktionen und darüber hinaus nutzen können.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Umfassende Modellunterstützung**: 
+  Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](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 Benutzeroberfläche zum Erstellen von Prompts, zum Vergleichen der Modellleistung und zum Hinzufügen zusätzlicher Funktionen wie Text-to-Speech in einer chatbasierten Anwendung.
+
+**4. RAG Pipeline**: 
+  Umfassende RAG-Funktionalitäten, die alles von der Dokumenteneinlesung bis zur -abfrage abdecken, mit sofort einsatzbereiter Unterstützung für die Textextraktion aus PDFs, PPTs und anderen gängigen Dokumentformaten.
+
+**5. Fähigkeiten des Agenten**: 
+  Sie können Agenten basierend auf LLM Function Calling oder ReAct definieren und vorgefertigte oder benutzerdefinierte Tools für den Agenten hinzufügen. Dify stellt über 50 integrierte Tools für KI-Agenten bereit, wie zum Beispiel Google Search, DALL·E, Stable Diffusion und WolframAlpha.
+
+**6. LLMOps**: 
+  Überwachen und analysieren Sie Anwendungsprotokolle und die Leistung im Laufe der Zeit. Sie können kontinuierlich Prompts, Datensätze und Modelle basierend auf Produktionsdaten und Annotationen verbessern.
+
+**7. Backend-as-a-Service**: 
+  Alle Dify-Angebote kommen mit entsprechenden APIs, sodass Sie Dify mühelos in Ihre eigene Geschäftslogik integrieren können.
+
+## Vergleich der Merkmale
+<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>
+
+## Dify verwenden
+
+- **Cloud </br>**
+Wir hosten einen [Dify Cloud](https://dify.ai)-Service, den jeder ohne Einrichtung ausprobieren kann. Er bietet alle Funktionen der selbstgehosteten Version und beinhaltet 200 kostenlose GPT-4-Aufrufe im Sandbox-Plan.
+
+- **Selbstgehostete Dify Community Edition</br>**
+Starten Sie Dify schnell in Ihrer Umgebung mit diesem [Schnellstart-Leitfaden](#quick-start). Nutzen Sie unsere [Dokumentation](https://docs.dify.ai) für weiterführende Informationen und detaillierte Anweisungen.
+
+- **Dify für Unternehmen / Organisationen</br>**
+Wir bieten zusätzliche, unternehmensspezifische Funktionen. [Über diesen Chatbot können Sie uns Ihre Fragen mitteilen](https://udify.app/chat/22L1zSxg6yW1cWQg) oder [senden Sie uns eine E-Mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry), um Ihre unternehmerischen Bedürfnisse zu besprechen. </br>
+  > Für Startups und kleine Unternehmen, die AWS nutzen, schauen Sie sich [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) an und stellen Sie es mit nur einem Klick in Ihrer eigenen AWS VPC bereit. Es handelt sich um ein erschwingliches AMI-Angebot mit der Option, Apps mit individuellem Logo und Branding zu erstellen.
+
+
+## Immer einen Schritt voraus
+
+Star Dify auf GitHub und lassen Sie sich sofort über neue Releases benachrichtigen.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+## Erweiterte Einstellungen
+
+Falls Sie die Konfiguration anpassen müssen, lesen Sie bitte die Kommentare in unserer [.env.example](docker/.env.example)-Datei und aktualisieren Sie die entsprechenden Werte in Ihrer `.env`-Datei. Zusätzlich müssen Sie eventuell Anpassungen an der `docker-compose.yaml`-Datei vornehmen, wie zum Beispiel das Ändern von Image-Versionen, Portzuordnungen oder Volumen-Mounts, je nach Ihrer spezifischen Einsatzumgebung und Ihren Anforderungen. Nachdem Sie Änderungen vorgenommen haben, starten Sie `docker-compose up -d` erneut. Eine vollständige Liste der verfügbaren Umgebungsvariablen finden Sie [hier](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+Falls Sie eine hochverfügbare Konfiguration einrichten möchten, gibt es von der Community bereitgestellte [Helm Charts](https://helm.sh/) und YAML-Dateien, die es ermöglichen, Dify auf Kubernetes bereitzustellen.
+
+- [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 für die Bereitstellung verwenden
+
+Stellen Sie Dify mit nur einem Klick mithilfe von [terraform](https://www.terraform.io/) auf einer Cloud-Plattform bereit.
+
+##### Azure Global
+- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### Verwendung von AWS CDK für die Bereitstellung
+
+Bereitstellung von Dify auf AWS mit [CDK](https://aws.amazon.com/cdk/)
+
+##### AWS 
+- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Contributing
+
+Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). Gleichzeitig bitten wir Sie, Dify zu unterstützen, indem Sie es in den sozialen Medien teilen und auf Veranstaltungen und Konferenzen präsentieren.
+
+
+> Wir suchen Mitwirkende, die dabei helfen, Dify in weitere Sprachen zu übersetzen – außer Mandarin oder Englisch. Wenn Sie Interesse an einer Mitarbeit haben, lesen Sie bitte die [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) für weitere Informationen und hinterlassen Sie einen Kommentar im `global-users`-Kanal unseres [Discord Community Servers](https://discord.gg/8Tpq4AcN9c).
+
+## Gemeinschaft & Kontakt
+
+* [Github Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Am besten für: Fehler, auf die Sie bei der Verwendung von Dify.AI stoßen, und Funktionsvorschläge. Siehe unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7).  Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
+* [X(Twitter)](https://twitter.com/dify_ai). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
+
+**Mitwirkende**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Star-Geschichte
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Offenlegung der Sicherheit
+
+Um Ihre Privatsphäre zu schützen, vermeiden Sie es bitte, Sicherheitsprobleme auf GitHub zu posten. Schicken Sie Ihre Fragen stattdessen an security@dify.ai und wir werden Ihnen eine ausführlichere Antwort geben.
+
+## Lizenz
+
+Dieses Repository steht unter der [Dify Open Source License](LICENSE), die im Wesentlichen Apache 2.0 mit einigen zusätzlichen Einschränkungen ist.
+

README_ES.md

@@ -0,0 +1,268 @@
+![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-alojamiento</a> ·
+  <a href="https://docs.dify.ai">Documentación</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariales (en inglés)</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Insignia Estática" src="https://img.shields.io/badge/Producto-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Insignia Estática" src="https://img.shields.io/badge/gratis-precios?logo=gratis&color=%20%23155EEF&label=precios&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat en Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="seguir en X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="seguir en LinkedIn"></a>
+    <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>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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 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>
+
+**1. Flujo de trabajo**: 
+  Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**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).
+
+![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**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. 
+
+**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 en [http://localhost/install](http://localhost/install) y comenzar el proceso de inicialización.
+
+> Si deseas contribuir a Dify o realizar desarrollo adicional, consulta nuestra [guía para implementar desde el código fuente](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Próximos pasos
+
+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).
+
+. Después de realizar los cambios, ejecuta `docker-compose up -d` nuevamente. Puedes ver la lista completa de variables de entorno [aquí](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+Si desea configurar una configuración de alta disponibilidad, la comunidad proporciona [Gráficos Helm](https://helm.sh/) y archivos YAML, a través de los cuales puede desplegar Dify en Kubernetes.
+
+- [Gráfico Helm por @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Gráfico Helm por @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [Ficheros YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### Uso de Terraform para el despliegue
+
+Despliega Dify en una plataforma en la nube con un solo clic utilizando [terraform](https://www.terraform.io/)
+
+##### Azure Global
+- [Azure Terraform por @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform por @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### Usando AWS CDK para el Despliegue
+
+Despliegue Dify en AWS usando [CDK](https://aws.amazon.com/cdk/)
+
+##### AWS 
+- [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Contribuir
+
+Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en eventos y conferencias.
+
+
+> Estamos buscando colaboradores para ayudar con la traducción de Dify a idiomas que no sean el mandarín o el inglés. Si estás interesado en ayudar, consulta el [README de i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) para obtener más información y déjanos un comentario en el canal `global-users` de nuestro [Servidor de Comunidad en Discord](https://discord.gg/8Tpq4AcN9c).
+
+**Contribuidores**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Comunidad y Contacto
+
+* [Discusión en GitHub](https://github.com/langgenius/dify/discussions). Lo mejor para: compartir comentarios y hacer preguntas.
+* [Reporte de problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores que encuentres usando Dify.AI y propuestas de características. Consulta nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
+* [X(Twitter)](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
+
+## Historial de Estrellas
+
+[![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Divulgación de Seguridad
+
+Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
+
+## Licencia
+
+Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.
+## Divulgación de Seguridad
+
+Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
+
+## Licencia
+
+Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

README_FR.md

@@ -0,0 +1,264 @@
+![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://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="suivre sur X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="suivre sur LinkedIn"></a>
+    <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>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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. Capacités d'agent** : 
+  Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DALL·E, Stable Diffusion et WolframAlpha.
+
+**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
+
+Déployez Dify sur une plateforme cloud en un clic en utilisant [terraform](https://www.terraform.io/)
+
+##### Azure Global
+- [Azure Terraform par @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform par @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### Utilisation d'AWS CDK pour le déploiement
+
+Déployez Dify sur AWS en utilisant [CDK](https://aws.amazon.com/cdk/)
+
+##### AWS 
+- [AWS CDK par @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Contribuer
+
+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.
+* [X(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.
+## 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

@@ -0,0 +1,251 @@
+![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">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>
+
+<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://reddit.com/r/difyai" target="_blank">
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="X(Twitter)でフォロー"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="LinkedInでフォロー"></a>
+    <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>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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。
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**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。
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. プロンプトIDE**:
+  プロンプトの作成、モデルパフォーマンスの比較が行え、チャットベースのアプリに音声合成などの機能も追加できます。
+
+**4. RAGパイプライン**:
+  ドキュメントの取り込みから検索までをカバーする広範なRAG機能ができます。ほかにもPDF、PPT、その他の一般的なドキュメントフォーマットからのテキスト抽出のサポートも提供します。
+
+**5. エージェント機能**:
+  LLM Function CallingやReActに基づくエージェントの定義が可能で、AIエージェント用のプリビルトまたはカスタムツールを追加できます。Difyには、Google検索、DALL·E、Stable Diffusion、WolframAlphaなどのAIエージェント用の50以上の組み込みツールが提供します。
+
+**6. LLMOps**:
+  アプリケーションのログやパフォーマンスを監視と分析し、生産のデータと注釈に基づいて、プロンプト、データセット、モデルを継続的に改善できます。
+
+**7. Backend-as-a-Service**:
+  すべての機能はAPIを提供されており、Difyを自分のビジネスロジックに簡単に統合できます。
+
+
+## 機能比較
+<table style="width: 100%;">
+  <tr>
+    <th align="center">機能</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">プログラミングアプローチ</td>
+    <td align="center">API + アプリ指向</td>
+    <td align="center">Pythonコード</td>
+    <td align="center">アプリ指向</td>
+    <td align="center">API指向</td>
+  </tr>
+  <tr>
+    <td align="center">サポートされているLLM</td>
+    <td align="center">バラエティ豊か</td>
+    <td align="center">バラエティ豊か</td>
+    <td align="center">バラエティ豊か</td>
+    <td align="center">OpenAIのみ</td>
+  </tr>
+  <tr>
+    <td align="center">RAGエンジン</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">エージェント</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">ワークフロー</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">観測性</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">エンタープライズ機能（SSO/アクセス制御）</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">ローカル展開</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Difyの使用方法
+
+- **クラウド </br>**
+[こちら](https://dify.ai)のDify Cloudサービスを利用して、セットアップ不要で試すことができます。サンドボックスプランには、200回のGPT-4呼び出しが無料で含まれています。
+
+- **Dify Community Editionのセルフホスティング</br>**
+この[スタートガイド](#quick-start)を使用して、ローカル環境でDifyを簡単に実行できます。
+詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。
+
+- **企業/組織向けのDify</br>**
+企業中心の機能を提供しています。[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オファリングとして、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、初期化プロセスを開始できます。
+
+> Difyに貢献したり、追加の開発を行う場合は、[ソースコードからのデプロイガイド](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)を参照してください。
+
+## 次のステップ
+
+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。
+
+高可用性設定を設定する必要がある場合、コミュニティは[Helm Charts](https://helm.sh/)とYAMLファイルにより、DifyをKubernetesにデプロイすることができます。
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### Terraformを使用したデプロイ
+
+[terraform](https://www.terraform.io/) を使用して、ワンクリックでDifyをクラウドプラットフォームにデプロイします
+
+##### Azure Global
+- [@nikawangによるAzure Terraform](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [@sotazumによるGoogle Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### AWS CDK を使用したデプロイ
+
+[CDK](https://aws.amazon.com/cdk/) を使用して、DifyをAWSにデプロイします
+
+##### AWS
+- [@KevinZhaoによるAWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## 貢献
+
+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。
+
+
+> 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。
+
+**貢献者**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## コミュニティ & お問い合わせ
+
+* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
+* [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
+* [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
+* [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。
+
+
+
+## ライセンス
+
+このリポジトリは、Dify Open Source License にいくつかの追加制限を加えた[Difyオープンソースライセンス](LICENSE)の下で利用可能です。

README_KL.md

@@ -0,0 +1,259 @@
+![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://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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
+
+wa'logh nIqHom neH ghun deployment toy'wI' [terraform](https://www.terraform.io/) lo'laH.
+
+##### Azure Global
+- [Azure Terraform mung @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform qachlot @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### AWS CDK atorlugh pilersitsineq
+
+wa'logh nIqHom neH ghun deployment toy'wI' [CDK](https://aws.amazon.com/cdk/) lo'laH.
+
+##### AWS 
+- [AWS CDK qachlot @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Contributing
+
+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.
+* [X(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 +1,252 @@
+![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://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+    <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-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
+
+[terraform](https://www.terraform.io/)을 사용하여 단 한 번의 클릭으로 Dify를 클라우드 플랫폼에 배포하십시오
+
+##### Azure Global
+- [nikawang의 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [sotazum의 Google Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### AWS CDK를 사용한 배포
+
+[CDK](https://aws.amazon.com/cdk/)를 사용하여 AWS에 Dify 배포
+
+##### AWS 
+- [KevinZhao의 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## 기여
+
+코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
+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_PT.md

@@ -0,0 +1,255 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introduzindo o Dify Workflow com Upload de Arquivo: Recrie o Podcast Google NotebookLM</a>
+</p>
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hospedagem</a> ·
+  <a href="https://docs.dify.ai">Documentação</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariais</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README em Inglês" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README em Espanhol" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README em Francês" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README em Coreano" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README em Árabe" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="README em Turco" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README em Vietnamita" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_PT.md"><img alt="README em Português - BR" src="https://img.shields.io/badge/Portugu%C3%AAs-BR?style=flat&label=BR&color=d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+</p>
+
+Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto. Sua interface intuitiva combina workflow de IA, pipeline RAG, capacidades de agente, gerenciamento de modelos, recursos de observabilidade e muito mais, permitindo que você vá rapidamente do protótipo à produção. Aqui está uma lista das principais funcionalidades:
+</br> </br>
+
+**1. Workflow**: 
+  Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Suporte abrangente a modelos**: 
+  Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. IDE de Prompt**: 
+  Interface intuitiva para criação de prompts, comparação de desempenho de modelos e adição de recursos como conversão de texto para fala em um aplicativo baseado em chat. 
+
+**4. Pipeline RAG**: 
+  Extensas capacidades de RAG que cobrem desde a ingestão de documentos até a recuperação, com suporte nativo para extração de texto de PDFs, PPTs e outros formatos de documentos comuns.
+
+**5. Capacidades de agente**: 
+  Você pode definir agentes com base em LLM Function Calling ou ReAct e adicionar ferramentas pré-construídas ou personalizadas para o agente. O Dify oferece mais de 50 ferramentas integradas para agentes de IA, como Google Search, DALL·E, Stable Diffusion e WolframAlpha.
+
+**6. LLMOps**: 
+  Monitore e analise os registros e o desempenho do aplicativo ao longo do tempo. É possível melhorar continuamente prompts, conjuntos de dados e modelos com base nos dados de produção e anotações.
+
+**7. Backend como Serviço**: 
+  Todas os recursos do Dify vêm com APIs correspondentes, permitindo que você integre o Dify sem esforço na lógica de negócios da sua empresa.
+
+
+## Comparação de recursos
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Recurso</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Abordagem de Programação</td>
+    <td align="center">Orientada a API + Aplicativo</td>
+    <td align="center">Código Python</td>
+    <td align="center">Orientada a Aplicativo</td>
+    <td align="center">Orientada a API</td>
+  </tr>
+  <tr>
+    <td align="center">LLMs Suportados</td>
+    <td align="center">Variedade Rica</td>
+    <td align="center">Variedade Rica</td>
+    <td align="center">Variedade Rica</td>
+    <td align="center">Apenas OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Engine</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agente</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Workflow</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Observabilidade</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Recursos Empresariais (SSO/Controle de Acesso)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Implantação Local</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Usando o Dify
+
+- **Nuvem </br>**
+Oferecemos o serviço [Dify Cloud](https://dify.ai) para qualquer pessoa experimentar sem nenhuma configuração. Ele fornece todas as funcionalidades da versão auto-hospedada, incluindo 200 chamadas GPT-4 gratuitas no plano sandbox.
+
+- **Auto-hospedagem do Dify Community Edition</br>**
+Configure rapidamente o Dify no seu ambiente com este [guia inicial](#quick-start).
+Use nossa [documentação](https://docs.dify.ai) para referências adicionais e instruções mais detalhadas.
+
+- **Dify para empresas/organizações</br>**
+Oferecemos recursos adicionais voltados para empresas. [Envie suas perguntas através deste chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) ou [envie-nos um e-mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir necessidades empresariais. </br>
+  > Para startups e pequenas empresas que utilizam AWS, confira o [Dify Premium no AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e implemente no seu próprio AWS VPC com um clique. É uma oferta AMI acessível com a opção de criar aplicativos com logotipo e marca personalizados.
+
+
+## Mantendo-se atualizado
+
+Dê uma estrela no Dify no GitHub e seja notificado imediatamente sobre novos lançamentos.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## Início rápido
+> Antes de instalar o Dify, certifique-se de que sua máquina atenda aos seguintes requisitos mínimos de sistema:
+> 
+>- CPU >= 2 Núcleos
+>- RAM >= 4 GiB
+
+</br>
+
+A maneira mais fácil de iniciar o servidor Dify é executar nosso arquivo [docker-compose.yml](docker/docker-compose.yaml). Antes de rodar o comando de instalação, certifique-se de que o [Docker](https://docs.docker.com/get-docker/) e o [Docker Compose](https://docs.docker.com/compose/install/) estão instalados na sua máquina:
+
+```bash
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+Após a execução, você pode acessar o painel do Dify no navegador em [http://localhost/install](http://localhost/install) e iniciar o processo de inicialização.
+
+> Se você deseja contribuir com o Dify ou fazer desenvolvimento adicional, consulte nosso [guia para implantar a partir do código fonte](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code).
+
+## Próximos passos
+
+Se precisar personalizar a configuração, consulte os comentários no nosso arquivo [.env.example](docker/.env.example) e atualize os valores correspondentes no seu arquivo `.env`. Além disso, talvez seja necessário fazer ajustes no próprio arquivo `docker-compose.yaml`, como alterar versões de imagem, mapeamentos de portas ou montagens de volumes, com base no seu ambiente de implantação específico e nas suas necessidades. Após fazer quaisquer alterações, execute novamente `docker-compose up -d`. Você pode encontrar a lista completa de variáveis de ambiente disponíveis [aqui](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+Se deseja configurar uma instalação de alta disponibilidade, há [Helm Charts](https://helm.sh/) e arquivos YAML contribuídos pela comunidade que permitem a implantação do Dify no Kubernetes.
+
+- [Helm Chart de @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart de @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [Arquivo YAML de @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### Usando o Terraform para Implantação
+
+Implante o Dify na Plataforma Cloud com um único clique usando [terraform](https://www.terraform.io/)
+
+##### Azure Global
+- [Azure Terraform por @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform por @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### Usando AWS CDK para Implantação
+
+Implante o Dify na AWS usando [CDK](https://aws.amazon.com/cdk/)
+
+##### AWS 
+- [AWS CDK por @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Contribuindo
+
+Para aqueles que desejam contribuir com código, veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). 
+Ao mesmo tempo, considere apoiar o Dify compartilhando-o nas redes sociais e em eventos e conferências.
+
+> Estamos buscando contribuidores para ajudar na tradução do Dify para idiomas além de Mandarim e Inglês. Se você tiver interesse em ajudar, consulte o [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) para mais informações e deixe-nos um comentário no canal `global-users` em nosso [Servidor da Comunidade no Discord](https://discord.gg/8Tpq4AcN9c).
+
+**Contribuidores**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Comunidade e contato
+
+* [Discussões no GitHub](https://github.com/langgenius/dify/discussions). Melhor para: compartilhar feedback e fazer perguntas.
+* [Problemas no GitHub](https://github.com/langgenius/dify/issues). Melhor para: relatar bugs encontrados no Dify.AI e propor novos recursos. Veja nosso [Guia de Contribuição](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
+* [X(Twitter)](https://twitter.com/dify_ai). Melhor para: compartilhar suas aplicações e interagir com a comunidade.
+
+## Histórico de estrelas
+
+[![Gráfico de Histórico de Estrelas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+## Divulgação de segurança
+
+Para proteger sua privacidade, evite postar problemas de segurança no GitHub. Em vez disso, envie suas perguntas para security@dify.ai e forneceremos uma resposta mais detalhada.
+
+## Licença
+
+Este repositório está disponível sob a [Licença de Código Aberto Dify](LICENSE), que é essencialmente Apache 2.0 com algumas restrições adicionais.

README_SI.md

@@ -0,0 +1,258 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
+</p>
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
+  <a href="https://docs.dify.ai">Dokumentacija</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+</p>
+
+
+Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje. 
+
+## Hitri začetek
+> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4 GiB
+
+</br>
+
+Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
+
+```bash
+cd dify
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
+
+#### Iskanje pomoči
+Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
+
+> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Ključne značilnosti
+**1. Potek dela**: 
+  Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Celovita podpora za modele**: 
+  Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. Prompt IDE**: 
+  intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu. 
+
+**4. RAG Pipeline**: 
+  E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
+
+**5. Agent capabilities**: 
+  definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
+
+**6. LLMOps**: 
+  Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
+
+**7. Backend-as-a-Service**: 
+  AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
+
+## Primerjava Funkcij
+
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Funkcija</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Programski pristop</td>
+    <td align="center">API + usmerjeno v aplikacije</td>
+    <td align="center">Python koda</td>
+    <td align="center">Usmerjeno v aplikacije</td>
+    <td align="center">Usmerjeno v API</td>
+  </tr>
+  <tr>
+    <td align="center">Podprti LLM-ji</td>
+    <td align="center">Bogata izbira</td>
+    <td align="center">Bogata izbira</td>
+    <td align="center">Bogata izbira</td>
+    <td align="center">Samo OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">RAG pogon</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Potek dela</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Spremljanje</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Funkcija za podjetja (SSO/nadzor dostopa)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Lokalna namestitev</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Uporaba Dify
+
+- **Cloud </br>**
+Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
+
+- **Self-hosting Dify Community Edition</br>**
+Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
+
+
+- **Dify za podjetja/organizacije</br>**
+Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
+  > Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
+
+
+## Staying ahead
+
+Star Dify on GitHub and be instantly notified of new releases.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+## Napredne nastavitve
+
+Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj .
+
+Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes.
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### Uporaba Terraform za uvajanje
+
+namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
+
+##### Azure Global
+- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### Uporaba AWS CDK za uvajanje
+
+Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
+
+##### AWS 
+- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Prispevam
+
+Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah. 
+
+
+
+> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord .
+
+## Skupnost in stik
+
+* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
+* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
+
+**Contributors**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Star history
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Varnostno razkritje
+
+Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor.
+
+## Licenca
+
+To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.

README_TR.md

@@ -0,0 +1,249 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Bulut</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Kendi Sunucunuzda Barındırma</a> ·
+  <a href="https://docs.dify.ai">Dokümantasyon</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yalnızca İngilizce: Kurumsal Sorgulama</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Statik Rozet" src="https://img.shields.io/badge/Ürün-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Statik Rozet" src="https://img.shields.io/badge/ücretsiz-fiyatlandırma?logo=free&color=%20%23155EEF&label=fiyatlandirma&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="Discord'da sohbet et"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="X(Twitter)'da takip et"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="LinkedIn'da takip et"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Çekmeleri" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Geçen ay yapılan commitler" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Kapatılan sorunlar" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=kapatilan%20sorunlar&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Tartışma gönderileri" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+</p>
+
+
+Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel arayüzü, AI iş akışı, RAG pipeline'ı, ajan yetenekleri, model yönetimi, gözlemlenebilirlik özellikleri ve daha fazlasını birleştirerek, prototipten üretime hızlıca geçmenizi sağlar. İşte temel özelliklerin bir listesi:
+</br> </br>
+
+**1. Workflow**: 
+Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Kapsamlı model desteği**:
+Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/getting-started/readme/model-providers) ulaşabilirsiniz.
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. Prompt IDE**: 
+  Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
+
+**4. RAG Pipeline**: 
+  Belge alımından bilgi çekmeye kadar geniş kapsamlı RAG yetenekleri. PDF'ler, PPT'ler ve diğer yaygın belge formatlarından metin çıkarma için hazır destek sunar.
+
+**5. Ajan yetenekleri**: 
+  LLM Fonksiyon Çağırma veya ReAct'a dayalı ajanlar tanımlayabilir ve bu ajanlara önceden hazırlanmış veya özel araçlar ekleyebilirsiniz. Dify, AI ajanları için Google Arama, DALL·E, Stable Diffusion ve WolframAlpha gibi 50'den fazla yerleşik araç sağlar.
+
+**6. LLMOps**: 
+  Uygulama loglarını ve performans metriklerini zaman içinde izleme ve analiz etme imkanı. Üretim ortamından elde edilen verilere ve kullanıcı geri bildirimlerine dayanarak, prompt'ları, veri setlerini ve modelleri sürekli olarak optimize edebilirsiniz. Bu sayede, AI uygulamanızın performansını ve doğruluğunu sürekli olarak artırabilirsiniz.
+
+**7. Hizmet Olarak Backend**: 
+  Dify'ın tüm özellikleri ilgili API'lerle birlikte gelir, böylece Dify'ı kendi iş mantığınıza kolayca entegre edebilirsiniz.
+
+
+## Özellik karşılaştırması
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Özellik</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Programlama Yaklaşımı</td>
+    <td align="center">API + Uygulama odaklı</td>
+    <td align="center">Python Kodu</td>
+    <td align="center">Uygulama odaklı</td>
+    <td align="center">API odaklı</td>
+  </tr>
+  <tr>
+    <td align="center">Desteklenen LLM'ler</td>
+    <td align="center">Zengin Çeşitlilik</td>
+    <td align="center">Zengin Çeşitlilik</td>
+    <td align="center">Zengin Çeşitlilik</td>
+    <td align="center">Yalnızca OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Motoru</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Ajan</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">İş Akışı</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Gözlemlenebilirlik</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Kurumsal Özellikler (SSO/Erişim kontrolü)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Yerel Dağıtım</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Dify'ı Kullanma
+
+- **Cloud </br>**
+Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
+
+- **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
+Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın.
+Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai) kullanın.
+
+- **Kurumlar / organizasyonlar için Dify</br>**
+Ek kurumsal odaklı özellikler sunuyoruz. Kurumsal ihtiyaçları görüşmek için [bize bir e-posta gönderin](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). </br>
+  > AWS kullanan startuplar ve küçük işletmeler için, [AWS Marketplace'deki Dify Premium'a](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) göz atın ve tek tıklamayla kendi AWS VPC'nize dağıtın. Bu, özel logo ve marka ile uygulamalar oluşturma seçeneğine sahip uygun fiyatlı bir AMI teklifdir.
+
+## Güncel Kalma
+
+GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
+
+![bizi-yıldızlayın](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## Hızlı başlangıç
+> Dify'ı kurmadan önce, makinenizin aşağıdaki minimum sistem gereksinimlerini karşıladığından emin olun:
+> 
+>- CPU >= 2 Çekirdek
+>- RAM >= 4GB
+
+</br>
+Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:
+
+```bash
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+Çalıştırdıktan sonra, tarayıcınızda [http://localhost/install](http://localhost/install) adresinden Dify kontrol paneline erişebilir ve başlangıç ayarları sürecini başlatabilirsiniz.
+
+> Eğer Dify'a katkıda bulunmak veya ek geliştirmeler yapmak isterseniz, [kaynak koddan dağıtım kılavuzumuza](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) başvurun.
+
+## Sonraki adımlar
+
+Yapılandırmayı özelleştirmeniz gerekiyorsa, lütfen [.env.example](docker/.env.example) dosyamızdaki yorumlara bakın ve `.env` dosyanızdaki ilgili değerleri güncelleyin. Ayrıca, spesifik dağıtım ortamınıza ve gereksinimlerinize bağlı olarak `docker-compose.yaml` dosyasının kendisinde de, imaj sürümlerini, port eşlemelerini veya hacim bağlantılarını değiştirmek gibi ayarlamalar yapmanız gerekebilir. Herhangi bir değişiklik yaptıktan sonra, lütfen `docker-compose up -d` komutunu tekrar çalıştırın. Kullanılabilir tüm ortam değişkenlerinin tam listesini [burada](https://docs.dify.ai/getting-started/install-self-hosted/environments) bulabilirsiniz.
+
+Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'ın Kubernetes üzerine dağıtılmasına olanak tanıyan topluluk katkılı [Helm Charts](https://helm.sh/) ve YAML dosyaları mevcuttur.
+
+- [@LeoQuote tarafından Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
+- [@BorisPolonsky tarafından Helm Chart](https://github.com/BorisPolonsky/dify-helm)
+- [@Winson-030 tarafından YAML dosyası](https://github.com/Winson-030/dify-kubernetes)
+
+#### Dağıtım için Terraform Kullanımı
+
+Dify'ı bulut platformuna tek tıklamayla dağıtın [terraform](https://www.terraform.io/) kullanarak
+
+##### Azure Global
+- [Azure Terraform tarafından @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform tarafından @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### AWS CDK ile Dağıtım
+
+[CDK](https://aws.amazon.com/cdk/) kullanarak Dify'ı AWS'ye dağıtın
+
+##### AWS 
+- [AWS CDK tarafından @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Katkıda Bulunma
+
+Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakabilirsiniz.
+Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda paylaşarak desteklemeyi düşünün.
+
+> Dify'ı Mandarin veya İngilizce dışındaki dillere çevirmemize yardımcı olacak katkıda bulunanlara ihtiyacımız var. Yardımcı olmakla ilgileniyorsanız, lütfen daha fazla bilgi için [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) dosyasına bakın ve [Discord Topluluk Sunucumuzdaki](https://discord.gg/8Tpq4AcN9c) `global-users` kanalında bize bir yorum bırakın.
+
+**Katkıda Bulunanlar**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Topluluk & iletişim
+
+* [Github Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
+* [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
+* [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
+* [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
+
+## Star history
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+## Güvenlik açıklaması
+
+Gizliliğinizi korumak için, lütfen güvenlik sorunlarını GitHub'da paylaşmaktan kaçının. Bunun yerine, sorularınızı security@dify.ai adresine gönderin ve size daha detaylı bir cevap vereceğiz.
+
+## Lisans
+
+Bu depo, temel olarak Apache 2.0 lisansı ve birkaç ek kısıtlama içeren [Dify Açık Kaynak Lisansı](LICENSE) altında kullanıma sunulmuştur.

README_TW.md

@@ -0,0 +1,258 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">介紹 Dify 工作流程檔案上傳功能：重現 Google NotebookLM Podcast</a>
+</p>
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify 雲端服務</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">自行託管</a> ·
+  <a href="https://docs.dify.ai">說明文件</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業諮詢</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="follow on LinkedIn"></a>
+    <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_TW.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
+</p>
+
+Dify 是一個開源的 LLM 應用程式開發平台。其直觀的界面結合了智能代理工作流程、RAG 管道、代理功能、模型管理、可觀察性功能等，讓您能夠快速從原型進展到生產環境。
+
+## 快速開始
+
+> 安裝 Dify 之前，請確保您的機器符合以下最低系統要求：
+>
+> - CPU >= 2 核心
+> - 記憶體 >= 4 GiB
+
+</br>
+
+啟動 Dify 伺服器最簡單的方式是透過 [docker compose](docker/docker-compose.yaml)。在使用以下命令運行 Dify 之前，請確保您的機器已安裝 [Docker](https://docs.docker.com/get-docker/) 和 [Docker Compose](https://docs.docker.com/compose/install/)：
+
+```bash
+cd dify
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+運行後，您可以在瀏覽器中通過 [http://localhost/install](http://localhost/install) 訪問 Dify 儀表板並開始初始化過程。
+
+### 尋求幫助
+
+如果您在設置 Dify 時遇到問題，請參考我們的 [常見問題](https://docs.dify.ai/getting-started/install-self-hosted/faqs)。如果仍有疑問，請聯絡 [社區和我們](#community--contact)。
+
+> 如果您想為 Dify 做出貢獻或進行額外開發，請參考我們的 [從原始碼部署指南](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## 核心功能
+
+**1. 工作流程**：
+在視覺化畫布上建立和測試強大的 AI 工作流程，利用以下所有功能及更多。
+
+https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+**2. 全面的模型支援**：
+無縫整合來自數十個推理提供商和自託管解決方案的數百個專有/開源 LLM，涵蓋 GPT、Mistral、Llama3 和任何與 OpenAI API 兼容的模型。您可以在[此處](https://docs.dify.ai/getting-started/readme/model-providers)找到支援的模型提供商完整列表。
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+**3. 提示詞 IDE**：
+直觀的界面，用於編寫提示詞、比較模型性能，以及為聊天型應用程式添加文字轉語音等額外功能。
+
+**4. RAG 管道**：
+廣泛的 RAG 功能，涵蓋從文件擷取到檢索的全部流程，內建支援從 PDF、PPT 和其他常見文件格式提取文本。
+
+**5. 代理功能**：
+您可以基於 LLM 函數調用或 ReAct 定義代理，並為代理添加預構建或自定義工具。Dify 為 AI 代理提供 50 多種內建工具，如 Google 搜尋、DALL·E、Stable Diffusion 和 WolframAlpha。
+
+**6. LLMOps**：
+監控並分析應用程式日誌和長期效能。您可以根據生產數據和標註持續改進提示詞、數據集和模型。
+
+**7. 後端即服務**：
+Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify 整合到您自己的業務邏輯中。
+
+## 功能比較
+
+<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 Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">程式設計方法</td>
+    <td align="center">API + 應用導向</td>
+    <td align="center">Python 代碼</td>
+    <td align="center">應用導向</td>
+    <td align="center">API 導向</td>
+  </tr>
+  <tr>
+    <td align="center">支援的 LLM 模型</td>
+    <td align="center">豐富多樣</td>
+    <td align="center">豐富多樣</td>
+    <td align="center">豐富多樣</td>
+    <td align="center">僅限 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">代理功能</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">工作流程</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">可觀察性</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">企業級功能 (SSO/存取控制)</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
+
+- **雲端服務 </br>**
+  我們提供 [Dify Cloud](https://dify.ai) 服務，任何人都可以零配置嘗試。它提供與自部署版本相同的所有功能，並在沙盒計劃中包含 200 次免費 GPT-4 調用。
+
+- **自託管 Dify 社區版</br>**
+  使用這份[快速指南](#快速開始)在您的環境中快速運行 Dify。
+  使用我們的[文檔](https://docs.dify.ai)獲取更多參考和深入指導。
+
+- **企業/組織版 Dify</br>**
+  我們提供額外的企業中心功能。[通過這個聊天機器人記錄您的問題](https://udify.app/chat/22L1zSxg6yW1cWQg)或[發送電子郵件給我們](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)討論企業需求。</br>
+  > 對於使用 AWS 的初創企業和小型企業，請查看 [AWS Marketplace 上的 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)，並一鍵部署到您自己的 AWS VPC。這是一個經濟實惠的 AMI 產品，可選擇使用自定義徽標和品牌創建應用。
+
+## 保持領先
+
+在 GitHub 上為 Dify 加星，即時獲取新版本通知。
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+## 進階設定
+
+如果您需要自定義配置，請參考我們的 [.env.example](docker/.env.example) 文件中的註釋，並在您的 `.env` 文件中更新相應的值。此外，根據您特定的部署環境和需求，您可能需要調整 `docker-compose.yaml` 文件本身，例如更改映像版本、端口映射或卷掛載。進行任何更改後，請重新運行 `docker-compose up -d`。您可以在[這裡](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用環境變數的完整列表。
+
+如果您想配置高可用性設置，社區貢獻的 [Helm Charts](https://helm.sh/) 和 YAML 文件允許在 Kubernetes 上部署 Dify。
+
+- [由 @LeoQuote 提供的 Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
+- [由 @BorisPolonsky 提供的 Helm Chart](https://github.com/BorisPolonsky/dify-helm)
+- [由 @Winson-030 提供的 YAML 文件](https://github.com/Winson-030/dify-kubernetes)
+
+### 使用 Terraform 進行部署
+
+使用 [terraform](https://www.terraform.io/) 一鍵部署 Dify 到雲端平台
+
+### Azure 全球
+
+- [由 @nikawang 提供的 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
+
+### Google Cloud
+
+- [由 @sotazum 提供的 Google Cloud Terraform](https://github.com/DeNA/dify-google-cloud-terraform)
+
+### 使用 AWS CDK 進行部署
+
+使用 [CDK](https://aws.amazon.com/cdk/) 部署 Dify 到 AWS
+
+### AWS
+
+- [由 @KevinZhao 提供的 AWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## 貢獻
+
+對於想要貢獻程式碼的開發者，請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
+同時，也請考慮透過在社群媒體和各種活動與會議上分享 Dify 來支持我們。
+
+> 我們正在尋找貢獻者協助將 Dify 翻譯成中文和英文以外的語言。如果您有興趣幫忙，請查看 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) 獲取更多資訊，並在我們的 [Discord 社群伺服器](https://discord.gg/8Tpq4AcN9c) 的 `global-users` 頻道留言給我們。
+
+## 社群與聯絡方式
+
+- [Github Discussion](https://github.com/langgenius/dify/discussions)：最適合分享反饋和提問。
+- [GitHub Issues](https://github.com/langgenius/dify/issues)：最適合報告使用 Dify.AI 時遇到的問題和提出功能建議。請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
+- [Discord](https://discord.gg/FngNHpbcY7)：最適合分享您的應用程式並與社群互動。
+- [X(Twitter)](https://twitter.com/dify_ai)：最適合分享您的應用程式並與社群互動。
+
+**貢獻者**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## 星星歷史
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+## 安全揭露
+
+為保護您的隱私，請避免在 GitHub 上發布安全性問題。請將您的問題發送至 security@dify.ai，我們將為您提供更詳細的答覆。
+
+## 授權條款
+
+本代碼庫採用 [Dify 開源授權](LICENSE)，這基本上是 Apache 2.0 授權加上一些額外限制條款。

README_VI.md

@@ -0,0 +1,252 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Tự triển khai</a> ·
+  <a href="https://docs.dify.ai">Tài liệu</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yêu cầu doanh nghiệp</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat trên Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="theo dõi trên X(Twitter)"></a>
+    <a href="https://www.linkedin.com/company/langgenius/" target="_blank">
+        <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
+            alt="theo dõi trên LinkedIn"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits tháng trước" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Vấn đề đã đóng" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <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>
+  <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
+</p>
+
+
+Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
+</br> </br>
+
+**1. Quy trình làm việc**: 
+  Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Hỗ trợ mô hình toàn diện**: 
+  Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. IDE Prompt**: 
+  Giao diện trực quan để tạo prompt, so sánh hiệu suất mô hình và thêm các tính năng bổ sung như chuyển văn bản thành giọng nói cho một ứng dụng dựa trên trò chuyện. 
+
+**4. Mô hình RAG**: 
+  Khả năng RAG mở rộng bao gồm mọi thứ từ nhập tài liệu đến truy xuất, với hỗ trợ sẵn có cho việc trích xuất văn bản từ PDF, PPT và các định dạng tài liệu phổ biến khác.
+
+**5. Khả năng tác nhân**: 
+  Bạn có thể định nghĩa các tác nhân dựa trên LLM Function Calling hoặc ReAct, và thêm các công cụ được xây dựng sẵn hoặc tùy chỉnh cho tác nhân. Dify cung cấp hơn 50 công cụ tích hợp sẵn cho các tác nhân AI, như Google Search, DALL·E, Stable Diffusion và WolframAlpha.
+
+**6. LLMOps**: 
+  Giám sát và phân tích nhật ký và hiệu suất ứng dụng theo thời gian. Bạn có thể liên tục cải thiện prompt, bộ dữ liệu và mô hình dựa trên dữ liệu sản xuất và chú thích.
+
+**7. Backend-as-a-Service**: 
+  Tất cả các dịch vụ của Dify đều đi kèm với các API tương ứng, vì vậy bạn có thể dễ dàng tích hợp Dify vào logic kinh doanh của riêng mình.
+
+
+## So sánh tính năng
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Tính năng</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">LangChain</th>
+    <th align="center">Flowise</th>
+    <th align="center">OpenAI Assistants API</th>
+  </tr>
+  <tr>
+    <td align="center">Phương pháp lập trình</td>
+    <td align="center">Hướng API + Ứng dụng</td>
+    <td align="center">Mã Python</td>
+    <td align="center">Hướng ứng dụng</td>
+    <td align="center">Hướng API</td>
+  </tr>
+  <tr>
+    <td align="center">LLMs được hỗ trợ</td>
+    <td align="center">Đa dạng phong phú</td>
+    <td align="center">Đa dạng phong phú</td>
+    <td align="center">Đa dạng phong phú</td>
+    <td align="center">Chỉ OpenAI</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Engine</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Quy trình làm việc</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Khả năng quan sát</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Tính năng doanh nghiệp (SSO/Kiểm soát truy cập)</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+    <td align="center">❌</td>
+  </tr>
+  <tr>
+    <td align="center">Triển khai cục bộ</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+  </tr>
+</table>
+
+## Sử dụng Dify
+
+- **Cloud </br>**
+Chúng tôi lưu trữ dịch vụ [Dify Cloud](https://dify.ai) cho bất kỳ ai muốn thử mà không cần cài đặt. Nó cung cấp tất cả các khả năng của phiên bản tự triển khai và bao gồm 200 lượt gọi GPT-4 miễn phí trong gói sandbox.
+
+- **Tự triển khai Dify Community Edition</br>**
+Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
+Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.
+
+- **Dify cho doanh nghiệp / tổ chức</br>**
+Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. </br>
+  > Đối với các công ty khởi nghiệp và doanh nghiệp nhỏ sử dụng AWS, hãy xem [Dify Premium trên AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) và triển khai nó vào AWS VPC của riêng bạn chỉ với một cú nhấp chuột. Đây là một AMI giá cả phải chăng với tùy chọn tạo ứng dụng với logo và thương hiệu tùy chỉnh.
+
+
+## Luôn cập nhật
+
+Yêu thích Dify trên GitHub và được thông báo ngay lập tức về các bản phát hành mới.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+
+## Bắt đầu nhanh
+> Trước khi cài đặt Dify, hãy đảm bảo máy của bạn đáp ứng các yêu cầu hệ thống tối thiểu sau:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4GB
+
+</br>
+
+Cách dễ nhất để khởi động máy chủ Dify là chạy tệp [docker-compose.yml](docker/docker-compose.yaml) của chúng tôi. Trước khi chạy lệnh cài đặt, hãy đảm bảo rằng [Docker](https://docs.docker.com/get-docker/) và [Docker Compose](https://docs.docker.com/compose/install/) đã được cài đặt trên máy của bạn:
+
+```bash
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+Sau khi chạy, bạn có thể truy cập bảng điều khiển Dify trong trình duyệt của bạn tại [http://localhost/install](http://localhost/install) và bắt đầu quá trình khởi tạo.
+
+> Nếu bạn muốn đóng góp cho Dify hoặc phát triển thêm, hãy tham khảo [hướng dẫn triển khai từ mã nguồn](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) của chúng tôi
+
+## Các bước tiếp theo
+
+Nếu bạn cần tùy chỉnh cấu hình, vui lòng tham khảo các nhận xét trong tệp [.env.example](docker/.env.example) của chúng tôi và cập nhật các giá trị tương ứng trong tệp `.env` của bạn. Ngoài ra, bạn có thể cần điều chỉnh tệp `docker-compose.yaml`, chẳng hạn như thay đổi phiên bản hình ảnh, ánh xạ cổng hoặc gắn kết khối lượng, dựa trên môi trường triển khai cụ thể và yêu cầu của bạn. Sau khi thực hiện bất kỳ thay đổi nào, vui lòng chạy lại `docker-compose up -d`. Bạn có thể tìm thấy danh sách đầy đủ các biến môi trường có sẵn [tại đây](https://docs.dify.ai/getting-started/install-self-hosted/environments).
+
+Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có các [Helm Charts](https://helm.sh/) và tệp YAML do cộng đồng đóng góp cho phép Dify được triển khai trên Kubernetes.
+
+- [Helm Chart bởi @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart bởi @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [Tệp YAML bởi @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### Sử dụng Terraform để Triển khai
+
+Triển khai Dify lên nền tảng đám mây với một cú nhấp chuột bằng cách sử dụng [terraform](https://www.terraform.io/)
+
+##### Azure Global
+- [Azure Terraform bởi @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform bởi @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+#### Sử dụng AWS CDK để Triển khai
+
+Triển khai Dify trên AWS bằng [CDK](https://aws.amazon.com/cdk/)
+
+##### AWS 
+- [AWS CDK bởi @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
+
+## Đóng góp
+
+Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi. 
+Đồng thời, vui lòng xem xét hỗ trợ Dify bằng cách chia sẻ nó trên mạng xã hội và tại các sự kiện và hội nghị.
+
+
+> Chúng tôi đang tìm kiếm người đóng góp để giúp dịch Dify sang các ngôn ngữ khác ngoài tiếng Trung hoặc tiếng Anh. Nếu bạn quan tâm đến việc giúp đỡ, vui lòng xem [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) để biết thêm thông tin và để lại bình luận cho chúng tôi trong kênh `global-users` của [Máy chủ Cộng đồng Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi.
+
+**Người đóng góp**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Cộng đồng & liên hệ
+
+* [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
+* [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
+* [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
+* [X(Twitter)](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
+
+## Lịch sử Yêu thích
+
+[![Biểu đồ Lịch sử Yêu thích](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+## Tiết lộ bảo mật
+
+Để bảo vệ quyền riêng tư của bạn, vui lòng tránh đăng các vấn đề bảo mật trên GitHub. Thay vào đó, hãy gửi câu hỏi của bạn đến security@dify.ai và chúng tôi sẽ cung cấp cho bạn câu trả lời chi tiết hơn.
+
+## Giấy phép
+
+Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.

api/.dockerignore

@@ -16,4 +16,4 @@ logs
 .ruff_cache
 
 # venv
-.venv
+.venv

api/.env.example

@@ -4,31 +4,18 @@
 # Alternatively you can set it with `SECRET_KEY` environment variable.
 SECRET_KEY=
 
-# Ensure UTF-8 encoding
-LANG=en_US.UTF-8
-LC_ALL=en_US.UTF-8
-PYTHONIOENCODING=utf-8
-
 # Console API base URL
-CONSOLE_API_URL=http://localhost:5001
-CONSOLE_WEB_URL=http://localhost:3000
+CONSOLE_API_URL=http://127.0.0.1:5001
+CONSOLE_WEB_URL=http://127.0.0.1:3000
 
 # Service API base URL
-SERVICE_API_URL=http://localhost:5001
+SERVICE_API_URL=http://127.0.0.1:5001
 
 # Web APP base URL
-APP_WEB_URL=http://localhost:3000
+APP_WEB_URL=http://127.0.0.1:3000
 
 # Files URL
-FILES_URL=http://localhost:5001
-
-# INTERNAL_FILES_URL is used for plugin daemon communication within Docker network.
-# Set this to the internal Docker service URL for proper plugin file access.
-# Example: INTERNAL_FILES_URL=http://api:5001
-INTERNAL_FILES_URL=http://127.0.0.1:5001
-
-# TRIGGER URL
-TRIGGER_URL=http://localhost:5001
+FILES_URL=http://127.0.0.1:5001
 
 # The time in seconds after the signature is rejected
 FILES_ACCESS_TIMEOUT=300
@@ -39,21 +26,15 @@ ACCESS_TOKEN_EXPIRE_MINUTES=60
 # Refresh token expiration time in days
 REFRESH_TOKEN_EXPIRE_DAYS=30
 
+# celery configuration
+CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
+
 # redis configuration
 REDIS_HOST=localhost
 REDIS_PORT=6379
 REDIS_USERNAME=
 REDIS_PASSWORD=difyai123456
 REDIS_USE_SSL=false
-# SSL configuration for Redis (when REDIS_USE_SSL=true)
-REDIS_SSL_CERT_REQS=CERT_NONE
-# Options: CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED
-REDIS_SSL_CA_CERTS=
-# Path to CA certificate file for SSL verification
-REDIS_SSL_CERTFILE=
-# Path to client certificate file for SSL authentication
-REDIS_SSL_KEYFILE=
-# Path to client private key file for SSL authentication
 REDIS_DB=0
 
 # redis Sentinel configuration.
@@ -69,21 +50,13 @@ REDIS_USE_CLUSTERS=false
 REDIS_CLUSTERS=
 REDIS_CLUSTERS_PASSWORD=
 
-# celery configuration
-CELERY_BROKER_URL=redis://:difyai123456@localhost:${REDIS_PORT}/1
-CELERY_BACKEND=redis
-
-# Database configuration
-DB_TYPE=postgresql
+# PostgreSQL database configuration
 DB_USERNAME=postgres
 DB_PASSWORD=difyai123456
 DB_HOST=localhost
 DB_PORT=5432
 DB_DATABASE=dify
 
-SQLALCHEMY_POOL_PRE_PING=true
-SQLALCHEMY_POOL_TIMEOUT=30
-
 # Storage configuration
 # use for store upload files, private keys...
 # storage type: opendal, s3, aliyun-oss, azure-blob, baidu-obs, google-storage, huawei-obs, oci-storage, tencent-cos, volcengine-tos, supabase
@@ -160,34 +133,18 @@ SUPABASE_API_KEY=your-access-key
 SUPABASE_URL=your-server-url
 
 # CORS configuration
-WEB_API_CORS_ALLOW_ORIGINS=http://localhost:3000,*
-CONSOLE_CORS_ALLOW_ORIGINS=http://localhost:3000,*
-# When the frontend and backend run on different subdomains, set COOKIE_DOMAIN to the site’s top-level domain (e.g., `example.com`). Leading dots are optional.
-COOKIE_DOMAIN=
+WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
+CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 
 # Vector database configuration
-# Supported values are `weaviate`, `oceanbase`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`,  `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`, `matrixone`.
+# support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector, couchbase, vikingdb, upstash, lindorm, oceanbase
 VECTOR_STORE=weaviate
-# Prefix used to create collection name in vector database
-VECTOR_INDEX_NAME_PREFIX=Vector_index
 
 # Weaviate configuration
 WEAVIATE_ENDPOINT=http://localhost:8080
 WEAVIATE_API_KEY=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
 WEAVIATE_GRPC_ENABLED=false
 WEAVIATE_BATCH_SIZE=100
-WEAVIATE_TOKENIZATION=word
-
-# OceanBase Vector configuration
-OCEANBASE_VECTOR_HOST=127.0.0.1
-OCEANBASE_VECTOR_PORT=2881
-OCEANBASE_VECTOR_USER=root@test
-OCEANBASE_VECTOR_PASSWORD=difyai123456
-OCEANBASE_VECTOR_DATABASE=test
-OCEANBASE_MEMORY_LIMIT=6G
-OCEANBASE_ENABLE_HYBRID_SEARCH=false
-OCEANBASE_FULLTEXT_PARSER=ik
-SEEKDB_MEMORY_LIMIT=2G
 
 # 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
@@ -195,7 +152,6 @@ QDRANT_API_KEY=difyai123456
 QDRANT_CLIENT_TIMEOUT=20
 QDRANT_GRPC_ENABLED=false
 QDRANT_GRPC_PORT=6334
-QDRANT_REPLICATION_FACTOR=1
 
 #Couchbase configuration
 COUCHBASE_CONNECTION_STRING=127.0.0.1
@@ -209,7 +165,6 @@ MILVUS_URI=http://127.0.0.1:19530
 MILVUS_TOKEN=
 MILVUS_USER=root
 MILVUS_PASSWORD=Milvus
-MILVUS_ANALYZER_PARAMS=
 
 # MyScale configuration
 MYSCALE_HOST=127.0.0.1
@@ -234,7 +189,6 @@ TENCENT_VECTOR_DB_USERNAME=dify
 TENCENT_VECTOR_DB_DATABASE=dify
 TENCENT_VECTOR_DB_SHARD=1
 TENCENT_VECTOR_DB_REPLICAS=2
-TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH=false
 
 # ElasticSearch configuration
 ELASTICSEARCH_HOST=127.0.0.1
@@ -258,13 +212,6 @@ PGVECTOR_DATABASE=postgres
 PGVECTOR_MIN_CONNECTION=1
 PGVECTOR_MAX_CONNECTION=5
 
-# TableStore Vector configuration
-TABLESTORE_ENDPOINT=https://instance-name.cn-hangzhou.ots.aliyuncs.com
-TABLESTORE_INSTANCE_NAME=instance-name
-TABLESTORE_ACCESS_KEY_ID=xxx
-TABLESTORE_ACCESS_KEY_SECRET=xxx
-TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE=false
-
 # Tidb Vector configuration
 TIDB_VECTOR_HOST=xxx.eu-central-1.xxx.aws.tidbcloud.com
 TIDB_VECTOR_PORT=4000
@@ -314,7 +261,6 @@ OPENSEARCH_PORT=9200
 OPENSEARCH_USER=admin
 OPENSEARCH_PASSWORD=admin
 OPENSEARCH_SECURE=true
-OPENSEARCH_VERIFY_CERTS=true
 
 # Baidu configuration
 BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287
@@ -324,8 +270,6 @@ BAIDU_VECTOR_DB_API_KEY=dify
 BAIDU_VECTOR_DB_DATABASE=dify
 BAIDU_VECTOR_DB_SHARD=1
 BAIDU_VECTOR_DB_REPLICAS=3
-BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER=DEFAULT_ANALYZER
-BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE=COARSE_MODE
 
 # Upstash configuration
 UPSTASH_VECTOR_URL=your-server-url
@@ -340,37 +284,20 @@ VIKINGDB_SCHEMA=http
 VIKINGDB_CONNECTION_TIMEOUT=30
 VIKINGDB_SOCKET_TIMEOUT=30
 
-# Matrixone configration
-MATRIXONE_HOST=127.0.0.1
-MATRIXONE_PORT=6001
-MATRIXONE_USER=dump
-MATRIXONE_PASSWORD=111
-MATRIXONE_DATABASE=dify
-
 # Lindorm configuration
 LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
 LINDORM_USERNAME=admin
 LINDORM_PASSWORD=admin
-LINDORM_USING_UGC=True
-LINDORM_QUERY_TIMEOUT=1
+USING_UGC_INDEX=False
 
-# AlibabaCloud MySQL Vector configuration
-ALIBABACLOUD_MYSQL_HOST=127.0.0.1
-ALIBABACLOUD_MYSQL_PORT=3306
-ALIBABACLOUD_MYSQL_USER=root
-ALIBABACLOUD_MYSQL_PASSWORD=root
-ALIBABACLOUD_MYSQL_DATABASE=dify
-ALIBABACLOUD_MYSQL_MAX_CONNECTION=5
-ALIBABACLOUD_MYSQL_HNSW_M=6
+# OceanBase Vector configuration
+OCEANBASE_VECTOR_HOST=127.0.0.1
+OCEANBASE_VECTOR_PORT=2881
+OCEANBASE_VECTOR_USER=root@test
+OCEANBASE_VECTOR_PASSWORD=difyai123456
+OCEANBASE_VECTOR_DATABASE=test
+OCEANBASE_MEMORY_LIMIT=6G
 
-# openGauss configuration
-OPENGAUSS_HOST=127.0.0.1
-OPENGAUSS_PORT=6600
-OPENGAUSS_USER=postgres
-OPENGAUSS_PASSWORD=Dify@123
-OPENGAUSS_DATABASE=dify
-OPENGAUSS_MIN_CONNECTION=1
-OPENGAUSS_MAX_CONNECTION=5
 
 # Upload configuration
 UPLOAD_FILE_SIZE_LIMIT=15
@@ -379,23 +306,14 @@ UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
 UPLOAD_VIDEO_FILE_SIZE_LIMIT=100
 UPLOAD_AUDIO_FILE_SIZE_LIMIT=50
 
-# Comma-separated list of file extensions blocked from upload for security reasons.
-# Extensions should be lowercase without dots (e.g., exe,bat,sh,dll).
-# Empty by default to allow all file types.
-# Recommended: exe,bat,cmd,com,scr,vbs,ps1,msi,dll
-UPLOAD_FILE_EXTENSION_BLACKLIST=
-
 # Model configuration
 MULTIMODAL_SEND_FORMAT=base64
 PROMPT_GENERATION_MAX_TOKENS=512
 CODE_GENERATION_MAX_TOKENS=1024
-PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false
 
-# Mail configuration, support: resend, smtp, sendgrid
+# Mail configuration, support: resend, smtp
 MAIL_TYPE=
-# If using SendGrid, use the 'from' field for authentication if necessary.
 MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
-# resend configuration
 RESEND_API_KEY=
 RESEND_API_URL=https://api.resend.com
 # smtp configuration
@@ -405,14 +323,12 @@ SMTP_USERNAME=123
 SMTP_PASSWORD=abc
 SMTP_USE_TLS=true
 SMTP_OPPORTUNISTIC_TLS=false
-# Sendgid configuration
-SENDGRID_API_KEY=
+
 # Sentry configuration
 SENTRY_DSN=
 
 # DEBUG
 DEBUG=false
-ENABLE_REQUEST_LOGGING=False
 SQLALCHEMY_ECHO=false
 
 # Notion import configuration, support public and internal
@@ -434,9 +350,6 @@ SSRF_DEFAULT_TIME_OUT=5
 SSRF_DEFAULT_CONNECT_TIME_OUT=5
 SSRF_DEFAULT_READ_TIME_OUT=5
 SSRF_DEFAULT_WRITE_TIME_OUT=5
-SSRF_POOL_MAX_CONNECTIONS=100
-SSRF_POOL_MAX_KEEPALIVE_CONNECTIONS=20
-SSRF_POOL_KEEPALIVE_EXPIRY=5.0
 
 BATCH_UPLOAD_LIMIT=10
 KEYWORD_DATA_SOURCE_TYPE=database
@@ -447,17 +360,10 @@ WORKFLOW_FILE_UPLOAD_LIMIT=10
 # CODE EXECUTION CONFIGURATION
 CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194
 CODE_EXECUTION_API_KEY=dify-sandbox
-CODE_EXECUTION_SSL_VERIFY=True
-CODE_EXECUTION_POOL_MAX_CONNECTIONS=100
-CODE_EXECUTION_POOL_MAX_KEEPALIVE_CONNECTIONS=20
-CODE_EXECUTION_POOL_KEEPALIVE_EXPIRY=5.0
-CODE_EXECUTION_CONNECT_TIMEOUT=10
-CODE_EXECUTION_READ_TIMEOUT=60
-CODE_EXECUTION_WRITE_TIMEOUT=10
 CODE_MAX_NUMBER=9223372036854775807
 CODE_MIN_NUMBER=-9223372036854775808
-CODE_MAX_STRING_LENGTH=400000
-TEMPLATE_TRANSFORM_MAX_LENGTH=400000
+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
@@ -472,10 +378,6 @@ 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
-HTTP_REQUEST_NODE_SSL_VERIFY=True
-
-# Webhook request configuration
-WEBHOOK_REQUEST_BODY_MAX_SIZE=10485760
 
 # Respect X-* headers to redirect clients
 RESPECT_XFORWARD_HEADERS_ENABLED=false
@@ -500,68 +402,16 @@ INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000
 WORKFLOW_MAX_EXECUTION_STEPS=500
 WORKFLOW_MAX_EXECUTION_TIME=1200
 WORKFLOW_CALL_MAX_DEPTH=5
+WORKFLOW_PARALLEL_DEPTH_LIMIT=3
 MAX_VARIABLE_SIZE=204800
 
-# GraphEngine Worker Pool Configuration
-# Minimum number of workers per GraphEngine instance (default: 1)
-GRAPH_ENGINE_MIN_WORKERS=1
-# Maximum number of workers per GraphEngine instance (default: 10)
-GRAPH_ENGINE_MAX_WORKERS=10
-# Queue depth threshold that triggers worker scale up (default: 3)
-GRAPH_ENGINE_SCALE_UP_THRESHOLD=3
-# Seconds of idle time before scaling down workers (default: 5.0)
-GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME=5.0
-
-# Workflow storage configuration
-# Options: rdbms, hybrid
-# rdbms: Use only the relational database (default)
-# hybrid: Save new data to object storage, read from both object storage and RDBMS
-WORKFLOW_NODE_EXECUTION_STORAGE=rdbms
-
-# Repository configuration
-# Core workflow execution repository implementation
-CORE_WORKFLOW_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository
-
-# Core workflow node execution repository implementation
-CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository
-
-# API workflow node execution repository implementation
-API_WORKFLOW_NODE_EXECUTION_REPOSITORY=repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository
-
-# API workflow run repository implementation
-API_WORKFLOW_RUN_REPOSITORY=repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository
-# Workflow log cleanup configuration
-# Enable automatic cleanup of workflow run logs to manage database size
-WORKFLOW_LOG_CLEANUP_ENABLED=false
-# Number of days to retain workflow run logs (default: 30 days)
-WORKFLOW_LOG_RETENTION_DAYS=30
-# Batch size for workflow log cleanup operations (default: 100)
-WORKFLOW_LOG_CLEANUP_BATCH_SIZE=100
-
 # App configuration
 APP_MAX_EXECUTION_TIME=1200
-APP_DEFAULT_ACTIVE_REQUESTS=0
 APP_MAX_ACTIVE_REQUESTS=0
 
 # Celery beat configuration
 CELERY_BEAT_SCHEDULER_TIME=1
 
-# Celery schedule tasks configuration
-ENABLE_CLEAN_EMBEDDING_CACHE_TASK=false
-ENABLE_CLEAN_UNUSED_DATASETS_TASK=false
-ENABLE_CREATE_TIDB_SERVERLESS_TASK=false
-ENABLE_UPDATE_TIDB_SERVERLESS_STATUS_TASK=false
-ENABLE_CLEAN_MESSAGES=false
-ENABLE_MAIL_CLEAN_DOCUMENT_NOTIFY_TASK=false
-ENABLE_DATASETS_QUEUE_MONITOR=false
-ENABLE_CHECK_UPGRADABLE_PLUGIN_TASK=true
-ENABLE_WORKFLOW_SCHEDULE_POLLER_TASK=true
-# Interval time in minutes for polling scheduled workflows(default: 1 min)
-WORKFLOW_SCHEDULE_POLLER_INTERVAL=1
-WORKFLOW_SCHEDULE_POLLER_BATCH_SIZE=100
-# Maximum number of scheduled workflows to dispatch per tick (0 for unlimited)
-WORKFLOW_SCHEDULE_MAX_DISPATCH_PER_TICK=0
-
 # Position configuration
 POSITION_TOOL_PINS=
 POSITION_TOOL_INCLUDES=
@@ -588,53 +438,10 @@ ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
 
 # Reset password token expiry minutes
 RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
-EMAIL_REGISTER_TOKEN_EXPIRY_MINUTES=5
-CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES=5
-OWNER_TRANSFER_TOKEN_EXPIRY_MINUTES=5
 
 CREATE_TIDB_SERVICE_JOB_ENABLED=false
 
 # Maximum number of submitted thread count in a ThreadPool for parallel node execution
 MAX_SUBMIT_COUNT=100
 # Lockout duration in seconds
-LOGIN_LOCKOUT_DURATION=86400
-
-# Enable OpenTelemetry
-ENABLE_OTEL=false
-OTLP_TRACE_ENDPOINT=
-OTLP_METRIC_ENDPOINT=
-OTLP_BASE_ENDPOINT=http://localhost:4318
-OTLP_API_KEY=
-OTEL_EXPORTER_OTLP_PROTOCOL=
-OTEL_EXPORTER_TYPE=otlp
-OTEL_SAMPLING_RATE=0.1
-OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000
-OTEL_MAX_QUEUE_SIZE=2048
-OTEL_MAX_EXPORT_BATCH_SIZE=512
-OTEL_METRIC_EXPORT_INTERVAL=60000
-OTEL_BATCH_EXPORT_TIMEOUT=10000
-OTEL_METRIC_EXPORT_TIMEOUT=30000
-
-# Prevent Clickjacking
-ALLOW_EMBED=false
-
-# Dataset queue monitor configuration
-QUEUE_MONITOR_THRESHOLD=200
-# You can configure multiple ones, separated by commas. eg: test1@dify.ai,test2@dify.ai
-QUEUE_MONITOR_ALERT_EMAILS=
-# Monitor interval in minutes, default is 30 minutes
-QUEUE_MONITOR_INTERVAL=30
-
-# Swagger UI configuration
-SWAGGER_UI_ENABLED=true
-SWAGGER_UI_PATH=/swagger-ui.html
-
-# Whether to encrypt dataset IDs when exporting DSL files (default: true)
-# Set to false to export dataset IDs as plain text for easier cross-environment import
-DSL_EXPORT_ENCRYPT_DATASET_ID=true
-
-# Tenant isolated task queue configuration
-TENANT_ISOLATED_TASK_CONCURRENCY=1
-
-# Maximum number of segments for dataset segments API (0 for unlimited)
-DATASET_MAX_SEGMENTS_PER_REQUEST=0
+LOGIN_LOCKOUT_DURATION=86400

api/.importlinter

@@ -1,106 +0,0 @@
-[importlinter]
-root_packages =
-    core
-    configs
-    controllers
-    models
-    tasks
-    services
-
-[importlinter:contract:workflow]
-name = Workflow
-type=layers
-layers =
-    graph_engine
-    graph_events
-    graph
-    nodes
-    node_events
-    runtime
-    entities
-containers =
-    core.workflow
-ignore_imports =
-    core.workflow.nodes.base.node -> core.workflow.graph_events
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_events
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_events
-
-    core.workflow.nodes.node_factory -> core.workflow.graph
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph
-    core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine.command_channels
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph
-    core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine.command_channels
-
-[importlinter:contract:rsc]
-name = RSC
-type = layers
-layers =
-    graph_engine
-    response_coordinator
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:worker]
-name = Worker
-type = layers
-layers =
-    graph_engine
-    worker
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:graph-engine-architecture]
-name = Graph Engine Architecture
-type = layers
-layers =
-    graph_engine
-    orchestration
-    command_processing
-    event_management
-    error_handler
-    graph_traversal
-    graph_state_manager
-    worker_management
-    domain
-containers =
-    core.workflow.graph_engine
-
-[importlinter:contract:domain-isolation]
-name = Domain Model Isolation
-type = forbidden
-source_modules =
-    core.workflow.graph_engine.domain
-forbidden_modules =
-    core.workflow.graph_engine.worker_management
-    core.workflow.graph_engine.command_channels
-    core.workflow.graph_engine.layers
-    core.workflow.graph_engine.protocols
-
-[importlinter:contract:worker-management]
-name = Worker Management
-type = forbidden
-source_modules =
-    core.workflow.graph_engine.worker_management
-forbidden_modules =
-    core.workflow.graph_engine.orchestration
-    core.workflow.graph_engine.command_processing
-    core.workflow.graph_engine.event_management
-
-
-[importlinter:contract:graph-traversal-components]
-name = Graph Traversal Components
-type = layers
-layers =
-    edge_processor
-    skip_propagator
-containers =
-    core.workflow.graph_engine.graph_traversal
-
-[importlinter:contract:command-channels]
-name = Command Channels Independence
-type = independence
-modules =
-    core.workflow.graph_engine.command_channels.in_memory_channel
-    core.workflow.graph_engine.command_channels.redis_channel

api/.ruff.toml

@@ -1,20 +1,22 @@
-exclude = ["migrations/*"]
+exclude = [
+    "migrations/*",
+]
 line-length = 120
 
 [format]
 quote-style = "double"
 
 [lint]
-preview = true
+preview = false
 select = [
-    "B",       # flake8-bugbear rules
-    "C4",      # flake8-comprehensions
-    "E",       # pycodestyle E rules
-    "F",       # pyflakes rules
-    "FURB",    # refurb rules
-    "I",       # isort rules
-    "N",       # pep8-naming
-    "PT",      # flake8-pytest-style rules
+    "B", # flake8-bugbear rules
+    "C4", # flake8-comprehensions
+    "E", # pycodestyle E rules
+    "F", # pyflakes rules
+    "FURB", # refurb rules
+    "I", # isort rules
+    "N", # pep8-naming
+    "PT", # flake8-pytest-style rules
     "PLC0208", # iteration-over-set
     "PLC0414", # useless-import-alias
     "PLE0604", # invalid-all-object
@@ -22,65 +24,52 @@ select = [
     "PLR0402", # manual-from-import
     "PLR1711", # useless-return
     "PLR1714", # repeated-equality-comparison
-    "RUF013",  # implicit-optional
-    "RUF019",  # unnecessary-key-check
-    "RUF100",  # unused-noqa
-    "RUF101",  # redirected-noqa
-    "RUF200",  # invalid-pyproject-toml
-    "RUF022",  # unsorted-dunder-all
-    "S506",    # unsafe-yaml-load
-    "SIM",     # flake8-simplify rules
-    "T201",    # print-found
-    "TRY400",  # error-instead-of-exception
-    "TRY401",  # verbose-log-message
-    "UP",      # pyupgrade rules
-    "W191",    # tab-indentation
-    "W605",    # invalid-escape-sequence
-    # security related linting rules
-    # RCE proctection (sort of)
-    "S102", # exec-builtin, disallow use of `exec`
-    "S307", # suspicious-eval-usage, disallow use of `eval` and `ast.literal_eval`
-    "S301", # suspicious-pickle-usage, disallow use of `pickle` and its wrappers.
-    "S302", # suspicious-marshal-usage, disallow use of `marshal` module
-    "S311", # suspicious-non-cryptographic-random-usage
-    "G001", # don't use str format to logging messages
-    "G003", # don't use + in logging messages
-    "G004", # don't use f-strings to format logging messages
-    "UP042", # use StrEnum
+    "RUF013", # implicit-optional
+    "RUF019", # unnecessary-key-check
+    "RUF100", # unused-noqa
+    "RUF101", # redirected-noqa
+    "RUF200", # invalid-pyproject-toml
+    "RUF022", # unsorted-dunder-all
+    "S506", # unsafe-yaml-load
+    "SIM", # flake8-simplify rules
+    "TRY400", # error-instead-of-exception
+    "TRY401", # verbose-log-message
+    "UP", # pyupgrade rules
+    "W191", # tab-indentation
+    "W605", # invalid-escape-sequence
 ]
 
 ignore = [
-    "E402",    # module-import-not-at-top-of-file
-    "E711",    # none-comparison
-    "E712",    # true-false-comparison
-    "E721",    # type-comparison
-    "E722",    # bare-except
-    "F821",    # undefined-name
-    "F841",    # unused-variable
+    "E402", # module-import-not-at-top-of-file
+    "E711", # none-comparison
+    "E712", # true-false-comparison
+    "E721", # type-comparison
+    "E722", # bare-except
+    "F821", # undefined-name
+    "F841", # unused-variable
     "FURB113", # repeated-append
     "FURB152", # math-constant
-    "UP007",   # non-pep604-annotation
-    "UP032",   # f-string
-    "UP045",   # non-pep604-annotation-optional
-    "B005",    # strip-with-multi-characters
-    "B006",    # mutable-argument-default
-    "B007",    # unused-loop-control-variable
-    "B026",    # star-arg-unpacking-after-keyword-arg
-    "B901",    # allow return in yield
-    "B903",    # class-as-data-structure
-    "B904",    # raise-without-from-inside-except
-    "B905",    # zip-without-explicit-strict
-    "N806",    # non-lowercase-variable-in-function
-    "N815",    # mixed-case-variable-in-class-scope
-    "PT011",   # pytest-raises-too-broad
-    "SIM102",  # collapsible-if
-    "SIM103",  # needless-bool
-    "SIM105",  # suppressible-exception
-    "SIM107",  # return-in-try-except-finally
-    "SIM108",  # if-else-block-instead-of-if-exp
-    "SIM113",  # enumerate-for-loop
-    "SIM117",  # multiple-with-statements
-    "SIM210",  # if-expr-with-true-false
+    "UP007", # non-pep604-annotation
+    "UP032", # f-string
+    "UP045", # non-pep604-annotation-optional
+    "B005", # strip-with-multi-characters
+    "B006", # mutable-argument-default
+    "B007", # unused-loop-control-variable
+    "B026", # star-arg-unpacking-after-keyword-arg
+    "B903", # class-as-data-structure
+    "B904", # raise-without-from-inside-except
+    "B905", # zip-without-explicit-strict
+    "N806", # non-lowercase-variable-in-function
+    "N815", # mixed-case-variable-in-class-scope
+    "PT011", # pytest-raises-too-broad
+    "SIM102", # collapsible-if
+    "SIM103", # needless-bool
+    "SIM105", # suppressible-exception
+    "SIM107", # return-in-try-except-finally
+    "SIM108", # if-else-block-instead-of-if-exp
+    "SIM113", # enumerate-for-loop
+    "SIM117", # multiple-with-statements
+    "SIM210", # if-expr-with-true-false
 ]
 
 [lint.per-file-ignores]
@@ -91,18 +80,11 @@ ignore = [
 "configs/*" = [
     "N802", # invalid-function-name
 ]
-"core/model_runtime/callbacks/base_callback.py" = [
-    "T201",
-]
-"core/workflow/callbacks/workflow_logging_callback.py" = [
-    "T201",
-]
 "libs/gmpy2_pkcs10aep_cipher.py" = [
     "N803", # invalid-argument-name
 ]
 "tests/*" = [
     "F811", # redefined-while-unused
-    "T201", # allow print in tests
 ]
 
 [lint.pyflakes]

api/.vscode/launch.json.example

@@ -54,7 +54,7 @@
                 "--loglevel",
                 "DEBUG",
                 "-Q",
-                "dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor"
+                "dataset,generation,mail,ops_trace,app_deletion"
             ]
         }
     ]

api/AGENTS.md

@@ -1,62 +0,0 @@
-# Agent Skill Index
-
-Start with the section that best matches your need. Each entry lists the problems it solves plus key files/concepts so you know what to expect before opening it.
-
-______________________________________________________________________
-
-## Platform Foundations
-
-- **[Infrastructure Overview](agent_skills/infra.md)**\
-  When to read this:
-
-  - You need to understand where a feature belongs in the architecture.
-  - You’re wiring storage, Redis, vector stores, or OTEL.
-  - You’re about to add CLI commands or async jobs.\
-    What it covers: configuration stack (`configs/app_config.py`, remote settings), storage entry points (`extensions/ext_storage.py`, `core/file/file_manager.py`), Redis conventions (`extensions/ext_redis.py`), plugin runtime topology, vector-store factory (`core/rag/datasource/vdb/*`), observability hooks, SSRF proxy usage, and core CLI commands.
-
-- **[Coding Style](agent_skills/coding_style.md)**\
-  When to read this:
-
-  - You’re writing or reviewing backend code and need the authoritative checklist.
-  - You’re unsure about Pydantic validators, SQLAlchemy session usage, or logging patterns.
-  - You want the exact lint/type/test commands used in PRs.\
-    Includes: Ruff & BasedPyright commands, no-annotation policy, session examples (`with Session(db.engine, ...)`), `@field_validator` usage, logging expectations, and the rule set for file size, helpers, and package management.
-
-______________________________________________________________________
-
-## Plugin & Extension Development
-
-- **[Plugin Systems](agent_skills/plugin.md)**\
-  When to read this:
-
-  - You’re building or debugging a marketplace plugin.
-  - You need to know how manifests, providers, daemons, and migrations fit together.\
-    What it covers: plugin manifests (`core/plugin/entities/plugin.py`), installation/upgrade flows (`services/plugin/plugin_service.py`, CLI commands), runtime adapters (`core/plugin/impl/*` for tool/model/datasource/trigger/endpoint/agent), daemon coordination (`core/plugin/entities/plugin_daemon.py`), and how provider registries surface capabilities to the rest of the platform.
-
-- **[Plugin OAuth](agent_skills/plugin_oauth.md)**\
-  When to read this:
-
-  - You must integrate OAuth for a plugin or datasource.
-  - You’re handling credential encryption or refresh flows.\
-    Topics: credential storage, encryption helpers (`core/helper/provider_encryption.py`), OAuth client bootstrap (`services/plugin/oauth_service.py`, `services/plugin/plugin_parameter_service.py`), and how console/API layers expose the flows.
-
-______________________________________________________________________
-
-## Workflow Entry & Execution
-
-- **[Trigger Concepts](agent_skills/trigger.md)**\
-  When to read this:
-  - You’re debugging why a workflow didn’t start.
-  - You’re adding a new trigger type or hook.
-  - You need to trace async execution, draft debugging, or webhook/schedule pipelines.\
-    Details: Start-node taxonomy, webhook & schedule internals (`core/workflow/nodes/trigger_*`, `services/trigger/*`), async orchestration (`services/async_workflow_service.py`, Celery queues), debug event bus, and storage/logging interactions.
-
-______________________________________________________________________
-
-## Additional Notes for Agents
-
-- All skill docs assume you follow the coding style guide—run Ruff/BasedPyright/tests listed there before submitting changes.
-- When you cannot find an answer in these briefs, search the codebase using the paths referenced (e.g., `core/plugin/impl/tool.py`, `services/dataset_service.py`).
-- If you run into cross-cutting concerns (tenancy, configuration, storage), check the infrastructure guide first; it links to most supporting modules.
-- Keep multi-tenancy and configuration central: everything flows through `configs.dify_config` and `tenant_id`.
-- When touching plugins or triggers, consult both the system overview and the specialised doc to ensure you adjust lifecycle, storage, and observability consistently.

api/Dockerfile

@@ -3,11 +3,20 @@ FROM python:3.12-slim-bookworm AS base
 
 WORKDIR /app/api
 
-# Install uv
-ENV UV_VERSION=0.8.9
+# Install Poetry
+ENV POETRY_VERSION=2.0.1
 
-RUN pip install --no-cache-dir uv==${UV_VERSION}
+# if you located in China, you can use aliyun mirror to speed up
+# RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
 
+RUN pip install --no-cache-dir poetry==${POETRY_VERSION}
+
+# 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
 
@@ -15,15 +24,11 @@ FROM base AS packages
 # RUN sed -i 's@deb.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources
 
 RUN apt-get update \
-    && apt-get install -y --no-install-recommends \
-          # basic environment
-          g++ \
-          # for building gmpy2
-          libmpfr-dev libmpc-dev
+    && 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 uv.lock ./
-RUN uv sync --locked --no-dev
+COPY pyproject.toml poetry.lock ./
+RUN poetry install --sync --no-cache --no-root
 
 # production stage
 FROM base AS production
@@ -41,30 +46,17 @@ EXPOSE 5001
 # set timezone
 ENV TZ=UTC
 
-# Set UTF-8 locale
-ENV LANG=en_US.UTF-8
-ENV LC_ALL=en_US.UTF-8
-ENV PYTHONIOENCODING=utf-8
-
 WORKDIR /app/api
 
-# Create non-root user
-ARG dify_uid=1001
-RUN groupadd -r -g ${dify_uid} dify && \
-    useradd -r -u ${dify_uid} -g ${dify_uid} -s /bin/bash dify && \
-    chown -R dify:dify /app
-
 RUN \
     apt-get update \
     # Install dependencies
     && apt-get install -y --no-install-recommends \
         # basic environment
-        curl nodejs \
-        # for gmpy2 \
-        libgmp-dev libmpfr-dev libmpc-dev \
+        curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
         # For Security
-        expat libldap-2.5-0=2.5.13+dfsg-5 perl libsqlite3-0=3.40.1-2+deb12u2 zlib1g=1:1.2.13.dfsg-1 \
-        # install fonts to support the use of tools like pypdfium2
+        expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
+        # install a chinese font to support the use of tools like matplotlib
         fonts-noto-cjk \
         # install a package to improve the accuracy of guessing mime type and file extension
         media-types \
@@ -75,29 +67,24 @@ RUN \
 
 # Copy Python environment and packages
 ENV VIRTUAL_ENV=/app/api/.venv
-COPY --from=packages --chown=dify:dify ${VIRTUAL_ENV} ${VIRTUAL_ENV}
+COPY --from=packages ${VIRTUAL_ENV} ${VIRTUAL_ENV}
 ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
 
 # Download nltk data
-RUN mkdir -p /usr/local/share/nltk_data && NLTK_DATA=/usr/local/share/nltk_data python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger'); nltk.download('stopwords')" \
-    && chmod -R 755 /usr/local/share/nltk_data
+RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')"
 
 ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
 
-RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')" \
-    && chown -R dify:dify ${TIKTOKEN_CACHE_DIR}
+RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')"
 
 # Copy source code
-COPY --chown=dify:dify . /app/api/
-
-# Prepare entrypoint script
-COPY --chown=dify:dify --chmod=755 docker/entrypoint.sh /entrypoint.sh
+COPY . /app/api/
 
+# Copy entrypoint
+COPY docker/entrypoint.sh /entrypoint.sh
+RUN chmod +x /entrypoint.sh
 
 ARG COMMIT_SHA
 ENV COMMIT_SHA=${COMMIT_SHA}
-ENV NLTK_DATA=/usr/local/share/nltk_data
-
-USER dify
 
 ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]

api/README.md

@@ -3,10 +3,7 @@
 ## Usage
 
 > [!IMPORTANT]
->
-> In the v1.3.0 release, `poetry` has been replaced with
-> [`uv`](https://docs.astral.sh/uv/) as the package manager
-> for Dify API backend service.
+> 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
 
@@ -15,102 +12,78 @@
    ```bash
    cd ../docker
    cp middleware.env.example middleware.env
-   # change the profile to mysql if you are not using postgres,change the profile to other vector database if you are not using weaviate
-   docker compose -f docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
+   # 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
    ```
 
-1. Copy `.env.example` to `.env`
+2. Copy `.env.example` to `.env`
 
    ```cli
-   cp .env.example .env
+   cp .env.example .env 
    ```
-
-> [!IMPORTANT]
->
-> When the frontend and backend run on different subdomains, set COOKIE_DOMAIN to the site’s top-level domain (e.g., `example.com`). The frontend and backend must be under the same top-level domain in order to share authentication cookies.
-
-1. Generate a `SECRET_KEY` in the `.env` file.
+3. Generate a `SECRET_KEY` in the `.env` file.
 
    bash for Linux
-
    ```bash for Linux
    sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
    ```
-
    bash for Mac
-
    ```bash for Mac
    secret_key=$(openssl rand -base64 42)
    sed -i '' "/^SECRET_KEY=/c\\
    SECRET_KEY=${secret_key}" .env
    ```
 
-1. Create environment.
+4. Create environment.
 
-   Dify API service uses [UV](https://docs.astral.sh/uv/) to manage dependencies.
-   First, you need to add the uv package manager, if you don't have it already.
+   Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. First, you need to add the poetry shell plugin, if you don't have it already, in order to run in a virtual environment. [Note: Poetry shell is no longer a native command so you need to install the poetry plugin beforehand]
 
    ```bash
-   pip install uv
-   # Or on macOS
-   brew install uv
+   poetry self add poetry-plugin-shell
    ```
+   
+   Then, You can execute `poetry shell` to activate the environment.
 
-1. Install dependencies
+5. Install dependencies
 
    ```bash
-   uv sync --dev
+   poetry env use 3.12
+   poetry install
    ```
 
-1. Run migrate
+6. Run migrate
 
    Before the first launch, migrate the database to the latest version.
 
    ```bash
-   uv run flask db upgrade
+   poetry run python -m flask db upgrade
    ```
 
-1. Start backend
+7. Start backend
 
    ```bash
-   uv run flask run --host 0.0.0.0 --port=5001 --debug
+   poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug
    ```
 
-1. Start Dify [web](../web) service.
+8. Start Dify [web](../web) service.
+9. Setup your application by visiting `http://localhost:3000`...
+10. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
 
-1. Setup your application by visiting `http://localhost:3000`.
-
-1. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
-
-```bash
-uv run celery -A app.celery worker -P threads -c 2 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
-```
-
-Additionally, if you want to debug the celery scheduled tasks, you can run the following command in another terminal to start the beat service:
-
-```bash
-uv run celery -A app.celery beat
-```
+   ```bash
+   poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion
+   ```
 
 ## Testing
 
 1. Install dependencies for both the backend and the test environment
 
    ```bash
-   uv sync --dev
+   poetry install -C api --with dev
    ```
 
-1. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`, more can check [Claude.md](../CLAUDE.md)
+2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
 
    ```bash
-   uv run pytest                           # Run all tests
-   uv run pytest tests/unit_tests/         # Unit tests only
-   uv run pytest tests/integration_tests/  # Integration tests
-
-   # Code quality
-   ../dev/reformat               # Run all formatters and linters
-   uv run ruff check --fix ./    # Fix linting issues
-   uv run ruff format ./         # Format code
-   uv run basedpyright .         # Type checking
+   poetry run -P api bash dev/pytest/pytest_all_tests.sh
    ```

api/agent_skills/coding_style.md

@@ -1,115 +0,0 @@
-## Linter
-
-- Always follow `.ruff.toml`.
-- Run `uv run ruff check --fix --unsafe-fixes`.
-- Keep each line under 100 characters (including spaces).
-
-## Code Style
-
-- `snake_case` for variables and functions.
-- `PascalCase` for classes.
-- `UPPER_CASE` for constants.
-
-## Rules
-
-- Use Pydantic v2 standard.
-- Use `uv` for package management.
-- Do not override dunder methods like `__init__`, `__iadd__`, etc.
-- Never launch services (`uv run app.py`, `flask run`, etc.); running tests under `tests/` is allowed.
-- Prefer simple functions over classes for lightweight helpers.
-- Keep files below 800 lines; split when necessary.
-- Keep code readable—no clever hacks.
-- Never use `print`; log with `logger = logging.getLogger(__name__)`.
-
-## Guiding Principles
-
-- Mirror the project’s layered architecture: controller → service → core/domain.
-- Reuse existing helpers in `core/`, `services/`, and `libs/` before creating new abstractions.
-- Optimise for observability: deterministic control flow, clear logging, actionable errors.
-
-## SQLAlchemy Patterns
-
-- Models inherit from `models.base.Base`; never create ad-hoc metadata or engines.
-
-- Open sessions with context managers:
-
-  ```python
-  from sqlalchemy.orm import Session
-
-  with Session(db.engine, expire_on_commit=False) as session:
-      stmt = select(Workflow).where(
-          Workflow.id == workflow_id,
-          Workflow.tenant_id == tenant_id,
-      )
-      workflow = session.execute(stmt).scalar_one_or_none()
-  ```
-
-- Use SQLAlchemy expressions; avoid raw SQL unless necessary.
-
-- Introduce repository abstractions only for very large tables (e.g., workflow executions) to support alternative storage strategies.
-
-- Always scope queries by `tenant_id` and protect write paths with safeguards (`FOR UPDATE`, row counts, etc.).
-
-## Storage & External IO
-
-- Access storage via `extensions.ext_storage.storage`.
-- Use `core.helper.ssrf_proxy` for outbound HTTP fetches.
-- Background tasks that touch storage must be idempotent and log the relevant object identifiers.
-
-## Pydantic Usage
-
-- Define DTOs with Pydantic v2 models and forbid extras by default.
-
-- Use `@field_validator` / `@model_validator` for domain rules.
-
-- Example:
-
-  ```python
-  from pydantic import BaseModel, ConfigDict, HttpUrl, field_validator
-
-  class TriggerConfig(BaseModel):
-      endpoint: HttpUrl
-      secret: str
-
-      model_config = ConfigDict(extra="forbid")
-
-      @field_validator("secret")
-      def ensure_secret_prefix(cls, value: str) -> str:
-          if not value.startswith("dify_"):
-              raise ValueError("secret must start with dify_")
-          return value
-  ```
-
-## Generics & Protocols
-
-- Use `typing.Protocol` to define behavioural contracts (e.g., cache interfaces).
-- Apply generics (`TypeVar`, `Generic`) for reusable utilities like caches or providers.
-- Validate dynamic inputs at runtime when generics cannot enforce safety alone.
-
-## Error Handling & Logging
-
-- Raise domain-specific exceptions (`services/errors`, `core/errors`) and translate to HTTP responses in controllers.
-- Declare `logger = logging.getLogger(__name__)` at module top.
-- Include tenant/app/workflow identifiers in log context.
-- Log retryable events at `warning`, terminal failures at `error`.
-
-## Tooling & Checks
-
-- Format/lint: `uv run --project api --dev ruff format ./api` and `uv run --project api --dev ruff check --fix --unsafe-fixes ./api`.
-- Type checks: `uv run --directory api --dev basedpyright`.
-- Tests: `uv run --project api --dev dev/pytest/pytest_unit_tests.sh`.
-- Run all of the above before submitting your work.
-
-## Controllers & Services
-
-- Controllers: parse input via Pydantic, invoke services, return serialised responses; no business logic.
-- Services: coordinate repositories, providers, background tasks; keep side effects explicit.
-- Avoid repositories unless necessary; direct SQLAlchemy usage is preferred for typical tables.
-- Document non-obvious behaviour with concise comments.
-
-## Miscellaneous
-
-- Use `configs.dify_config` for configuration—never read environment variables directly.
-- Maintain tenant awareness end-to-end; `tenant_id` must flow through every layer touching shared resources.
-- Queue async work through `services/async_workflow_service`; implement tasks under `tasks/` with explicit queue selection.
-- Keep experimental scripts under `dev/`; do not ship them in production builds.

api/agent_skills/infra.md

@@ -1,96 +0,0 @@
-## Configuration
-
-- Import `configs.dify_config` for every runtime toggle. Do not read environment variables directly.
-- Add new settings to the proper mixin inside `configs/` (deployment, feature, middleware, etc.) so they load through `DifyConfig`.
-- Remote overrides come from the optional providers in `configs/remote_settings_sources`; keep defaults in code safe when the value is missing.
-- Example: logging pulls targets from `extensions/ext_logging.py`, and model provider URLs are assembled in `services/entities/model_provider_entities.py`.
-
-## Dependencies
-
-- Runtime dependencies live in `[project].dependencies` inside `pyproject.toml`. Optional clients go into the `storage`, `tools`, or `vdb` groups under `[dependency-groups]`.
-- Always pin versions and keep the list alphabetised. Shared tooling (lint, typing, pytest) belongs in the `dev` group.
-- When code needs a new package, explain why in the PR and run `uv lock` so the lockfile stays current.
-
-## Storage & Files
-
-- Use `extensions.ext_storage.storage` for all blob IO; it already respects the configured backend.
-- Convert files for workflows with helpers in `core/file/file_manager.py`; they handle signed URLs and multimodal payloads.
-- When writing controller logic, delegate upload quotas and metadata to `services/file_service.py` instead of touching storage directly.
-- All outbound HTTP fetches (webhooks, remote files) must go through the SSRF-safe client in `core/helper/ssrf_proxy.py`; it wraps `httpx` with the allow/deny rules configured for the platform.
-
-## Redis & Shared State
-
-- Access Redis through `extensions.ext_redis.redis_client`. For locking, reuse `redis_client.lock`.
-- Prefer higher-level helpers when available: rate limits use `libs.helper.RateLimiter`, provider metadata uses caches in `core/helper/provider_cache.py`.
-
-## Models
-
-- SQLAlchemy models sit in `models/` and inherit from the shared declarative `Base` defined in `models/base.py` (metadata configured via `models/engine.py`).
-- `models/__init__.py` exposes grouped aggregates: account/tenant models, app and conversation tables, datasets, providers, workflow runs, triggers, etc. Import from there to avoid deep path churn.
-- Follow the DDD boundary: persistence objects live in `models/`, repositories under `repositories/` translate them into domain entities, and services consume those repositories.
-- When adding a table, create the model class, register it in `models/__init__.py`, wire a repository if needed, and generate an Alembic migration as described below.
-
-## Vector Stores
-
-- Vector client implementations live in `core/rag/datasource/vdb/<provider>`, with a common factory in `core/rag/datasource/vdb/vector_factory.py` and enums in `core/rag/datasource/vdb/vector_type.py`.
-- Retrieval pipelines call these providers through `core/rag/datasource/retrieval_service.py` and dataset ingestion flows in `services/dataset_service.py`.
-- The CLI helper `flask vdb-migrate` orchestrates bulk migrations using routines in `commands.py`; reuse that pattern when adding new backend transitions.
-- To add another store, mirror the provider layout, register it with the factory, and include any schema changes in Alembic migrations.
-
-## Observability & OTEL
-
-- OpenTelemetry settings live under the observability mixin in `configs/observability`. Toggle exporters and sampling via `dify_config`, not ad-hoc env reads.
-- HTTP, Celery, Redis, SQLAlchemy, and httpx instrumentation is initialised in `extensions/ext_app_metrics.py` and `extensions/ext_request_logging.py`; reuse these hooks when adding new workers or entrypoints.
-- When creating background tasks or external calls, propagate tracing context with helpers in the existing instrumented clients (e.g. use the shared `httpx` session from `core/helper/http_client_pooling.py`).
-- If you add a new external integration, ensure spans and metrics are emitted by wiring the appropriate OTEL instrumentation package in `pyproject.toml` and configuring it in `extensions/`.
-
-## Ops Integrations
-
-- Langfuse support and other tracing bridges live under `core/ops/opik_trace`. Config toggles sit in `configs/observability`, while exporters are initialised in the OTEL extensions mentioned above.
-- External monitoring services should follow this pattern: keep client code in `core/ops`, expose switches via `dify_config`, and hook initialisation in `extensions/ext_app_metrics.py` or sibling modules.
-- Before instrumenting new code paths, check whether existing context helpers (e.g. `extensions/ext_request_logging.py`) already capture the necessary metadata.
-
-## Controllers, Services, Core
-
-- Controllers only parse HTTP input and call a service method. Keep business rules in `services/`.
-- Services enforce tenant rules, quotas, and orchestration, then call into `core/` engines (workflow execution, tools, LLMs).
-- When adding a new endpoint, search for an existing service to extend before introducing a new layer. Example: workflow APIs pipe through `services/workflow_service.py` into `core/workflow`.
-
-## Plugins, Tools, Providers
-
-- In Dify a plugin is a tenant-installable bundle that declares one or more providers (tool, model, datasource, trigger, endpoint, agent strategy) plus its resource needs and version metadata. The manifest (`core/plugin/entities/plugin.py`) mirrors what you see in the marketplace documentation.
-- Installation, upgrades, and migrations are orchestrated by `services/plugin/plugin_service.py` together with helpers such as `services/plugin/plugin_migration.py`.
-- Runtime loading happens through the implementations under `core/plugin/impl/*` (tool/model/datasource/trigger/endpoint/agent). These modules normalise plugin providers so that downstream systems (`core/tools/tool_manager.py`, `services/model_provider_service.py`, `services/trigger/*`) can treat builtin and plugin capabilities the same way.
-- For remote execution, plugin daemons (`core/plugin/entities/plugin_daemon.py`, `core/plugin/impl/plugin.py`) manage lifecycle hooks, credential forwarding, and background workers that keep plugin processes in sync with the main application.
-- Acquire tool implementations through `core/tools/tool_manager.py`; it resolves builtin, plugin, and workflow-as-tool providers uniformly, injecting the right context (tenant, credentials, runtime config).
-- To add a new plugin capability, extend the relevant `core/plugin/entities` schema and register the implementation in the matching `core/plugin/impl` module rather than importing the provider directly.
-
-## Async Workloads
-
-see `agent_skills/trigger.md` for more detailed documentation.
-
-- Enqueue background work through `services/async_workflow_service.py`. It routes jobs to the tiered Celery queues defined in `tasks/`.
-- Workers boot from `celery_entrypoint.py` and execute functions in `tasks/workflow_execution_tasks.py`, `tasks/trigger_processing_tasks.py`, etc.
-- Scheduled workflows poll from `schedule/workflow_schedule_tasks.py`. Follow the same pattern if you need new periodic jobs.
-
-## Database & Migrations
-
-- SQLAlchemy models live under `models/` and map directly to migration files in `migrations/versions`.
-- Generate migrations with `uv run --project api flask db revision --autogenerate -m "<summary>"`, then review the diff; never hand-edit the database outside Alembic.
-- Apply migrations locally using `uv run --project api flask db upgrade`; production deploys expect the same history.
-- If you add tenant-scoped data, confirm the upgrade includes tenant filters or defaults consistent with the service logic touching those tables.
-
-## CLI Commands
-
-- Maintenance commands from `commands.py` are registered on the Flask CLI. Run them via `uv run --project api flask <command>`.
-- Use the built-in `db` commands from Flask-Migrate for schema operations (`flask db upgrade`, `flask db stamp`, etc.). Only fall back to custom helpers if you need their extra behaviour.
-- Custom entries such as `flask reset-password`, `flask reset-email`, and `flask vdb-migrate` handle self-hosted account recovery and vector database migrations.
-- Before adding a new command, check whether an existing service can be reused and ensure the command guards edition-specific behaviour (many enforce `SELF_HOSTED`). Document any additions in the PR.
-- Ruff helpers are run directly with `uv`: `uv run --project api --dev ruff format ./api` for formatting and `uv run --project api --dev ruff check ./api` (add `--fix` if you want automatic fixes).
-
-## When You Add Features
-
-- Check for an existing helper or service before writing a new util.
-- Uphold tenancy: every service method should receive the tenant ID from controller wrappers such as `controllers/console/wraps.py`.
-- Update or create tests alongside behaviour changes (`tests/unit_tests` for fast coverage, `tests/integration_tests` when touching orchestrations).
-- Run `uv run --project api --dev ruff check ./api`, `uv run --directory api --dev basedpyright`, and `uv run --project api --dev dev/pytest/pytest_unit_tests.sh` before submitting changes.

api/agent_skills/plugin.md

@@ -1 +0,0 @@
-// TBD

api/agent_skills/plugin_oauth.md

@@ -1 +0,0 @@
-// TBD

api/agent_skills/trigger.md

@@ -1,53 +0,0 @@
-## Overview
-
-Trigger is a collection of nodes that we called `Start` nodes, also, the concept of `Start` is the same as `RootNode` in the workflow engine `core/workflow/graph_engine`, On the other hand, `Start` node is the entry point of workflows, every workflow run always starts from a `Start` node.
-
-## Trigger nodes
-
-- `UserInput`
-- `Trigger Webhook`
-- `Trigger Schedule`
-- `Trigger Plugin`
-
-### UserInput
-
-Before `Trigger` concept is introduced, it's what we called `Start` node, but now, to avoid confusion, it was renamed to `UserInput` node, has a strong relation with `ServiceAPI` in `controllers/service_api/app`
-
-1. `UserInput` node introduces a list of arguments that need to be provided by the user, finally it will be converted into variables in the workflow variable pool.
-1. `ServiceAPI` accept those arguments, and pass through them into `UserInput` node.
-1. For its detailed implementation, please refer to `core/workflow/nodes/start`
-
-### Trigger Webhook
-
-Inside Webhook Node, Dify provided a UI panel that allows user define a HTTP manifest `core/workflow/nodes/trigger_webhook/entities.py`.`WebhookData`, also, Dify generates a random webhook id for each `Trigger Webhook` node, the implementation was implemented in `core/trigger/utils/endpoint.py`, as you can see, `webhook-debug` is a debug mode for webhook, you may find it in `controllers/trigger/webhook.py`.
-
-Finally, requests to `webhook` endpoint will be converted into variables in workflow variable pool during workflow execution.
-
-### Trigger Schedule
-
-`Trigger Schedule` node is a node that allows user define a schedule to trigger the workflow, detailed manifest is here `core/workflow/nodes/trigger_schedule/entities.py`, we have a poller and executor to handle millions of schedules, see `docker/entrypoint.sh` / `schedule/workflow_schedule_task.py` for help.
-
-To Achieve this, a `WorkflowSchedulePlan` model was introduced in `models/trigger.py`, and a `events/event_handlers/sync_workflow_schedule_when_app_published.py` was used to sync workflow schedule plans when app is published.
-
-### Trigger Plugin
-
-`Trigger Plugin` node allows user define there own distributed trigger plugin, whenever a request was received, Dify forwards it to the plugin and wait for parsed variables from it.
-
-1. Requests were saved in storage by `services/trigger/trigger_request_service.py`, referenced by `services/trigger/trigger_service.py`.`TriggerService`.`process_endpoint`
-1. Plugins accept those requests and parse variables from it, see `core/plugin/impl/trigger.py` for details.
-
-A `subscription` concept was out here by Dify, it means an endpoint address from Dify was bound to thirdparty webhook service like `Github` `Slack` `Linear` `GoogleDrive` `Gmail` etc. Once a subscription was created, Dify continually receives requests from the platforms and handle them one by one.
-
-## Worker Pool / Async Task
-
-All the events that triggered a new workflow run is always in async mode, a unified entrypoint can be found here `services/async_workflow_service.py`.`AsyncWorkflowService`.`trigger_workflow_async`.
-
-The infrastructure we used is `celery`, we've already configured it in `docker/entrypoint.sh`, and the consumers are in `tasks/async_workflow_tasks.py`, 3 queues were used to handle different tiers of users, `PROFESSIONAL_QUEUE` `TEAM_QUEUE` `SANDBOX_QUEUE`.
-
-## Debug Strategy
-
-Dify divided users into 2 groups: builders / end users.
-
-Builders are the users who create workflows, in this stage, debugging a workflow becomes a critical part of the workflow development process, as the start node in workflows, trigger nodes can `listen` to the events from `WebhookDebug` `Schedule` `Plugin`, debugging process was created in `controllers/console/app/workflow.py`.`DraftWorkflowTriggerNodeApi`.
-
-A polling process can be considered as combine of few single `poll` operations, each `poll` operation fetches events cached in `Redis`, returns `None` if no event was found, more detailed implemented: `core/trigger/debug/event_bus.py` was used to handle the polling process, and `core/trigger/debug/event_selectors.py` was used to select the event poller based on the trigger type.

api/app.py

@@ -1,7 +1,8 @@
+import os
 import sys
 
 
-def is_db_command() -> bool:
+def is_db_command():
     if len(sys.argv) > 1 and sys.argv[0].endswith("flask") and sys.argv[1] == "db":
         return True
     return False
@@ -13,12 +14,23 @@ if is_db_command():
 
     app = create_migrations_app()
 else:
-    # Gunicorn and Celery handle monkey patching automatically in production by
-    # specifying the `gevent` worker class. Manual monkey patching is not required here.
-    #
-    # See `api/docker/entrypoint.sh` (lines 33 and 47) for details.
-    #
-    # For third-party library patching, refer to `gunicorn.conf.py` and `celery_entrypoint.py`.
+    # It seems that JetBrains Python debugger does not work well with gevent,
+    # so we need to disable gevent in debug mode.
+    # If you are using debugpy and set GEVENT_SUPPORT=True, you can debug with gevent.
+    if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
+        from gevent import monkey  # type: ignore
+
+        # gevent
+        monkey.patch_all()
+
+        from grpc.experimental import gevent as grpc_gevent  # type: ignore
+
+        # grpc gevent
+        grpc_gevent.init_gevent()
+
+        import psycogreen.gevent  # type: ignore
+
+        psycogreen.gevent.patch_psycopg()
 
     from app_factory import create_app
 

api/app_factory.py

@@ -5,8 +5,6 @@ from configs import dify_config
 from contexts.wrapper import RecyclableContextVar
 from dify_app import DifyApp
 
-logger = logging.getLogger(__name__)
-
 
 # ----------------------------
 # Application Factory Function
@@ -18,7 +16,6 @@ def create_flask_app_with_configs() -> DifyApp:
     """
     dify_app = DifyApp(__name__)
     dify_app.config.from_mapping(dify_config.model_dump())
-    dify_app.config["RESTX_INCLUDE_ALL_MODELS"] = True
 
     # add before request hook
     @dify_app.before_request
@@ -26,9 +23,6 @@ def create_flask_app_with_configs() -> DifyApp:
         # add an unique identifier to each request
         RecyclableContextVar.increment_thread_recycles()
 
-    # Capture the decorator's return value to avoid pyright reportUnusedFunction
-    _ = before_request
-
     return dify_app
 
 
@@ -38,7 +32,7 @@ def create_app() -> DifyApp:
     initialize_extensions(app)
     end_time = time.perf_counter()
     if dify_config.DEBUG:
-        logger.info("Finished create_app (%s ms)", round((end_time - start_time) * 1000, 2))
+        logging.info(f"Finished create_app ({round((end_time - start_time) * 1000, 2)} ms)")
     return app
 
 
@@ -51,18 +45,14 @@ def initialize_extensions(app: DifyApp):
         ext_commands,
         ext_compress,
         ext_database,
-        ext_forward_refs,
         ext_hosting_provider,
         ext_import_modules,
         ext_logging,
         ext_login,
         ext_mail,
         ext_migrate,
-        ext_orjson,
-        ext_otel,
         ext_proxy_fix,
         ext_redis,
-        ext_request_logging,
         ext_sentry,
         ext_set_secretkey,
         ext_storage,
@@ -75,8 +65,6 @@ def initialize_extensions(app: DifyApp):
         ext_logging,
         ext_warnings,
         ext_import_modules,
-        ext_orjson,
-        ext_forward_refs,
         ext_set_secretkey,
         ext_compress,
         ext_code_based_extension,
@@ -93,22 +81,20 @@ def initialize_extensions(app: DifyApp):
         ext_proxy_fix,
         ext_blueprints,
         ext_commands,
-        ext_otel,
-        ext_request_logging,
     ]
     for ext in extensions:
         short_name = ext.__name__.split(".")[-1]
         is_enabled = ext.is_enabled() if hasattr(ext, "is_enabled") else True
         if not is_enabled:
             if dify_config.DEBUG:
-                logger.info("Skipped %s", short_name)
+                logging.info(f"Skipped {short_name}")
             continue
 
         start_time = time.perf_counter()
         ext.init_app(app)
         end_time = time.perf_counter()
         if dify_config.DEBUG:
-            logger.info("Loaded %s (%s ms)", short_name, round((end_time - start_time) * 1000, 2))
+            logging.info(f"Loaded {short_name} ({round((end_time - start_time) * 1000, 2)} ms)")
 
 
 def create_migrations_app():

api/celery_entrypoint.py

@@ -1,13 +0,0 @@
-import psycogreen.gevent as pscycogreen_gevent  # type: ignore
-from grpc.experimental import gevent as grpc_gevent  # type: ignore
-
-# grpc gevent
-grpc_gevent.init_gevent()
-print("gRPC patched with gevent.", flush=True)  # noqa: T201
-pscycogreen_gevent.patch_psycopg()
-print("psycopg2 patched with gevent.", flush=True)  # noqa: T201
-
-
-from app import app, celery
-
-__all__ = ["app", "celery"]

api/cnt_base.sh

@@ -1,7 +0,0 @@
-#!/bin/bash
-set -euxo pipefail
-
-for pattern in "Base" "TypeBase"; do
-    printf "%s " "$pattern"
-    grep "($pattern):" -r --include='*.py' --exclude-dir=".venv" --exclude-dir="tests" . | wc -l
-done

api/configs/__init__.py

@@ -1,3 +1,3 @@
 from .app_config import DifyConfig
 
-dify_config = DifyConfig()  # type: ignore
+dify_config = DifyConfig()

api/configs/app_config.py

@@ -1,22 +1,17 @@
 import logging
-from pathlib import Path
 from typing import Any
 
 from pydantic.fields import FieldInfo
-from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, SettingsConfigDict, TomlConfigSettingsSource
-
-from libs.file_utils import search_file_upwards
+from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, SettingsConfigDict
 
 from .deploy import DeploymentConfig
 from .enterprise import EnterpriseFeatureConfig
 from .extra import ExtraServiceConfig
 from .feature import FeatureConfig
 from .middleware import MiddlewareConfig
-from .observability import ObservabilityConfig
 from .packaging import PackagingInfo
 from .remote_settings_sources import RemoteSettingsSource, RemoteSettingsSourceConfig, RemoteSettingsSourceName
 from .remote_settings_sources.apollo import ApolloSettingsSource
-from .remote_settings_sources.nacos import NacosSettingsSource
 
 logger = logging.getLogger(__name__)
 
@@ -38,10 +33,8 @@ class RemoteSettingsSourceFactory(PydanticBaseSettingsSource):
         match remote_source_name:
             case RemoteSettingsSourceName.APOLLO:
                 remote_source = ApolloSettingsSource(current_state)
-            case RemoteSettingsSourceName.NACOS:
-                remote_source = NacosSettingsSource(current_state)
             case _:
-                logger.warning("Unsupported remote source: %s", remote_source_name)
+                logger.warning(f"Unsupported remote source: {remote_source_name}")
                 return {}
 
         d: dict[str, Any] = {}
@@ -66,8 +59,6 @@ class DifyConfig(
     MiddlewareConfig,
     # Extra service configs
     ExtraServiceConfig,
-    # Observability configs
-    ObservabilityConfig,
     # Remote source configs
     RemoteSettingsSourceConfig,
     # Enterprise feature configs
@@ -102,12 +93,4 @@ class DifyConfig(
             RemoteSettingsSourceFactory(settings_cls),
             dotenv_settings,
             file_secret_settings,
-            TomlConfigSettingsSource(
-                settings_cls=settings_cls,
-                toml_file=search_file_upwards(
-                    base_dir_path=Path(__file__).parent,
-                    target_file_name="pyproject.toml",
-                    max_search_parent_depth=2,
-                ),
-            ),
         )

api/configs/deploy/__init__.py

@@ -17,12 +17,6 @@ class DeploymentConfig(BaseSettings):
         default=False,
     )
 
-    # Request logging configuration
-    ENABLE_REQUEST_LOGGING: bool = Field(
-        description="Enable request and response body logging",
-        default=False,
-    )
-
     EDITION: str = Field(
         description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')",
         default="SELF_HOSTED",

api/configs/extra/notion_config.py

@@ -1,3 +1,5 @@
+from typing import Optional
+
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -7,28 +9,28 @@ class NotionConfig(BaseSettings):
     Configuration settings for Notion integration
     """
 
-    NOTION_CLIENT_ID: str | None = Field(
+    NOTION_CLIENT_ID: Optional[str] = Field(
         description="Client ID for Notion API authentication. Required for OAuth 2.0 flow.",
         default=None,
     )
 
-    NOTION_CLIENT_SECRET: str | None = Field(
+    NOTION_CLIENT_SECRET: Optional[str] = Field(
         description="Client secret for Notion API authentication. Required for OAuth 2.0 flow.",
         default=None,
     )
 
-    NOTION_INTEGRATION_TYPE: str | None = Field(
+    NOTION_INTEGRATION_TYPE: Optional[str] = Field(
         description="Type of Notion integration."
         " Set to 'internal' for internal integrations, or None for public integrations.",
         default=None,
     )
 
-    NOTION_INTERNAL_SECRET: str | None = Field(
+    NOTION_INTERNAL_SECRET: Optional[str] = Field(
         description="Secret key for internal Notion integrations. Required when NOTION_INTEGRATION_TYPE is 'internal'.",
         default=None,
     )
 
-    NOTION_INTEGRATION_TOKEN: str | None = Field(
+    NOTION_INTEGRATION_TOKEN: Optional[str] = Field(
         description="Integration token for Notion API access. Used for direct API calls without OAuth flow.",
         default=None,
     )

api/configs/extra/sentry_config.py

@@ -1,3 +1,5 @@
+from typing import Optional
+
 from pydantic import Field, NonNegativeFloat
 from pydantic_settings import BaseSettings
 
@@ -7,7 +9,7 @@ class SentryConfig(BaseSettings):
     Configuration settings for Sentry error tracking and performance monitoring
     """
 
-    SENTRY_DSN: str | None = Field(
+    SENTRY_DSN: Optional[str] = Field(
         description="Sentry Data Source Name (DSN)."
         " This is the unique identifier of your Sentry project, used to send events to the correct project.",
         default=None,

api/configs/feature/__init__.py

@@ -1,5 +1,4 @@
-from enum import StrEnum
-from typing import Literal
+from typing import Annotated, Literal, Optional
 
 from pydantic import (
     AliasChoices,
@@ -13,7 +12,7 @@ from pydantic import (
 )
 from pydantic_settings import BaseSettings
 
-from .hosted_service import HostedServiceConfig
+from configs.feature.hosted_service import HostedServiceConfig
 
 
 class SecurityConfig(BaseSettings):
@@ -33,21 +32,6 @@ class SecurityConfig(BaseSettings):
         default=5,
     )
 
-    EMAIL_REGISTER_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="Duration in minutes for which a email register token remains valid",
-        default=5,
-    )
-
-    CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="Duration in minutes for which a change email token remains valid",
-        default=5,
-    )
-
-    OWNER_TRANSFER_TOKEN_EXPIRY_MINUTES: PositiveInt = Field(
-        description="Duration in minutes for which a owner transfer token remains valid",
-        default=5,
-    )
-
     LOGIN_DISABLED: bool = Field(
         description="Whether to disable login checks",
         default=False,
@@ -58,7 +42,7 @@ class SecurityConfig(BaseSettings):
         default=False,
     )
 
-    ADMIN_API_KEY: str | None = Field(
+    ADMIN_API_KEY: Optional[str] = Field(
         description="admin api key for authentication",
         default=None,
     )
@@ -73,10 +57,6 @@ class AppExecutionConfig(BaseSettings):
         description="Maximum allowed execution time for the application in seconds",
         default=1200,
     )
-    APP_DEFAULT_ACTIVE_REQUESTS: NonNegativeInt = Field(
-        description="Default number of concurrent active requests per app (0 for unlimited)",
-        default=0,
-    )
     APP_MAX_ACTIVE_REQUESTS: NonNegativeInt = Field(
         description="Maximum number of concurrent active requests per app (0 for unlimited)",
         default=0,
@@ -90,7 +70,7 @@ class CodeExecutionSandboxConfig(BaseSettings):
 
     CODE_EXECUTION_ENDPOINT: HttpUrl = Field(
         description="URL endpoint for the code execution service",
-        default=HttpUrl("http://sandbox:8194"),
+        default="http://sandbox:8194",
     )
 
     CODE_EXECUTION_API_KEY: str = Field(
@@ -98,36 +78,21 @@ class CodeExecutionSandboxConfig(BaseSettings):
         default="dify-sandbox",
     )
 
-    CODE_EXECUTION_CONNECT_TIMEOUT: float | None = Field(
+    CODE_EXECUTION_CONNECT_TIMEOUT: Optional[float] = Field(
         description="Connection timeout in seconds for code execution requests",
         default=10.0,
     )
 
-    CODE_EXECUTION_READ_TIMEOUT: float | None = Field(
+    CODE_EXECUTION_READ_TIMEOUT: Optional[float] = Field(
         description="Read timeout in seconds for code execution requests",
         default=60.0,
     )
 
-    CODE_EXECUTION_WRITE_TIMEOUT: float | None = Field(
+    CODE_EXECUTION_WRITE_TIMEOUT: Optional[float] = Field(
         description="Write timeout in seconds for code execution request",
         default=10.0,
     )
 
-    CODE_EXECUTION_POOL_MAX_CONNECTIONS: PositiveInt = Field(
-        description="Maximum number of concurrent connections for the code execution HTTP client",
-        default=100,
-    )
-
-    CODE_EXECUTION_POOL_MAX_KEEPALIVE_CONNECTIONS: PositiveInt = Field(
-        description="Maximum number of persistent keep-alive connections for the code execution HTTP client",
-        default=20,
-    )
-
-    CODE_EXECUTION_POOL_KEEPALIVE_EXPIRY: PositiveFloat | None = Field(
-        description="Keep-alive expiry in seconds for idle connections (set to None to disable)",
-        default=5.0,
-    )
-
     CODE_MAX_NUMBER: PositiveInt = Field(
         description="Maximum allowed numeric value in code execution",
         default=9223372036854775807,
@@ -150,7 +115,7 @@ class CodeExecutionSandboxConfig(BaseSettings):
 
     CODE_MAX_STRING_LENGTH: PositiveInt = Field(
         description="Maximum allowed length for strings in code execution",
-        default=400_000,
+        default=80000,
     )
 
     CODE_MAX_STRING_ARRAY_LENGTH: PositiveInt = Field(
@@ -168,38 +133,6 @@ class CodeExecutionSandboxConfig(BaseSettings):
         default=1000,
     )
 
-    CODE_EXECUTION_SSL_VERIFY: bool = Field(
-        description="Enable or disable SSL verification for code execution requests",
-        default=True,
-    )
-
-
-class TriggerConfig(BaseSettings):
-    """
-    Configuration for trigger
-    """
-
-    WEBHOOK_REQUEST_BODY_MAX_SIZE: PositiveInt = Field(
-        description="Maximum allowed size for webhook request bodies in bytes",
-        default=10485760,
-    )
-
-
-class AsyncWorkflowConfig(BaseSettings):
-    """
-    Configuration for async workflow
-    """
-
-    ASYNC_WORKFLOW_SCHEDULER_GRANULARITY: int = Field(
-        description="Granularity for async workflow scheduler, "
-        "sometime, few users could block the queue due to some time-consuming tasks, "
-        "to avoid this, workflow can be suspended if needed, to achieve"
-        "this, a time-based checker is required, every granularity seconds, "
-        "the checker will check the workflow queue and suspend the workflow",
-        default=120,
-        ge=1,
-    )
-
 
 class PluginConfig(BaseSettings):
     """
@@ -208,7 +141,7 @@ class PluginConfig(BaseSettings):
 
     PLUGIN_DAEMON_URL: HttpUrl = Field(
         description="Plugin API URL",
-        default=HttpUrl("http://localhost:5002"),
+        default="http://localhost:5002",
     )
 
     PLUGIN_DAEMON_KEY: str = Field(
@@ -216,11 +149,6 @@ class PluginConfig(BaseSettings):
         default="plugin-api-key",
     )
 
-    PLUGIN_DAEMON_TIMEOUT: PositiveFloat | None = Field(
-        description="Timeout in seconds for requests to the plugin daemon (set to None to disable)",
-        default=300.0,
-    )
-
     INNER_API_KEY_FOR_PLUGIN: str = Field(description="Inner api key for plugin", default="inner-api-key")
 
     PLUGIN_REMOTE_INSTALL_HOST: str = Field(
@@ -256,7 +184,7 @@ class MarketplaceConfig(BaseSettings):
 
     MARKETPLACE_API_URL: HttpUrl = Field(
         description="Marketplace API URL",
-        default=HttpUrl("https://marketplace.dify.ai"),
+        default="https://marketplace.dify.ai",
     )
 
 
@@ -290,8 +218,6 @@ class EndpointConfig(BaseSettings):
         description="Template url for endpoint plugin", default="http://localhost:5002/e/{hook_id}"
     )
 
-    TRIGGER_URL: str = Field(description="Template url for triggers", default="http://localhost:5001")
-
 
 class FileAccessConfig(BaseSettings):
     """
@@ -307,13 +233,6 @@ class FileAccessConfig(BaseSettings):
         default="",
     )
 
-    INTERNAL_FILES_URL: str = Field(
-        description="Internal base URL for file access within Docker network,"
-        " used for plugin daemon and internal service communication."
-        " Falls back to FILES_URL if not specified.",
-        default="",
-    )
-
     FILES_ACCESS_TIMEOUT: int = Field(
         description="Expiration time in seconds for file access URLs",
         default=300,
@@ -360,42 +279,12 @@ class FileUploadConfig(BaseSettings):
         default=10,
     )
 
-    inner_UPLOAD_FILE_EXTENSION_BLACKLIST: str = Field(
-        description=(
-            "Comma-separated list of file extensions that are blocked from upload. "
-            "Extensions should be lowercase without dots (e.g., 'exe,bat,sh,dll'). "
-            "Empty by default to allow all file types."
-        ),
-        validation_alias=AliasChoices("UPLOAD_FILE_EXTENSION_BLACKLIST"),
-        default="",
-    )
-
-    @computed_field  # type: ignore[misc]
-    @property
-    def UPLOAD_FILE_EXTENSION_BLACKLIST(self) -> set[str]:
-        """
-        Parse and return the blacklist as a set of lowercase extensions.
-        Returns an empty set if no blacklist is configured.
-        """
-        if not self.inner_UPLOAD_FILE_EXTENSION_BLACKLIST:
-            return set()
-        return {
-            ext.strip().lower().strip(".")
-            for ext in self.inner_UPLOAD_FILE_EXTENSION_BLACKLIST.split(",")
-            if ext.strip()
-        }
-
 
 class HttpConfig(BaseSettings):
     """
     HTTP-related configurations for the application
     """
 
-    COOKIE_DOMAIN: str = Field(
-        description="Explicit cookie domain for console/service cookies when sharing across subdomains",
-        default="",
-    )
-
     API_COMPRESSION_ENABLED: bool = Field(
         description="Enable or disable gzip compression for HTTP responses",
         default=False,
@@ -421,17 +310,17 @@ class HttpConfig(BaseSettings):
     def WEB_API_CORS_ALLOW_ORIGINS(self) -> list[str]:
         return self.inner_WEB_API_CORS_ALLOW_ORIGINS.split(",")
 
-    HTTP_REQUEST_MAX_CONNECT_TIMEOUT: int = Field(
-        ge=1, description="Maximum connection timeout in seconds for HTTP requests", default=10
-    )
+    HTTP_REQUEST_MAX_CONNECT_TIMEOUT: Annotated[
+        PositiveInt, Field(ge=10, description="Maximum connection timeout in seconds for HTTP requests")
+    ] = 10
 
-    HTTP_REQUEST_MAX_READ_TIMEOUT: int = Field(
-        ge=1, description="Maximum read timeout in seconds for HTTP requests", default=600
-    )
+    HTTP_REQUEST_MAX_READ_TIMEOUT: Annotated[
+        PositiveInt, Field(ge=60, description="Maximum read timeout in seconds for HTTP requests")
+    ] = 60
 
-    HTTP_REQUEST_MAX_WRITE_TIMEOUT: int = Field(
-        ge=1, description="Maximum write timeout in seconds for HTTP requests", default=600
-    )
+    HTTP_REQUEST_MAX_WRITE_TIMEOUT: Annotated[
+        PositiveInt, Field(ge=10, description="Maximum write timeout in seconds for HTTP requests")
+    ] = 20
 
     HTTP_REQUEST_NODE_MAX_BINARY_SIZE: PositiveInt = Field(
         description="Maximum allowed size in bytes for binary data in HTTP requests",
@@ -443,27 +332,22 @@ class HttpConfig(BaseSettings):
         default=1 * 1024 * 1024,
     )
 
-    HTTP_REQUEST_NODE_SSL_VERIFY: bool = Field(
-        description="Enable or disable SSL verification for HTTP requests",
-        default=True,
-    )
-
     SSRF_DEFAULT_MAX_RETRIES: PositiveInt = Field(
         description="Maximum number of retries for network requests (SSRF)",
         default=3,
     )
 
-    SSRF_PROXY_ALL_URL: str | None = Field(
+    SSRF_PROXY_ALL_URL: Optional[str] = Field(
         description="Proxy URL for HTTP or HTTPS requests to prevent Server-Side Request Forgery (SSRF)",
         default=None,
     )
 
-    SSRF_PROXY_HTTP_URL: str | None = Field(
+    SSRF_PROXY_HTTP_URL: Optional[str] = Field(
         description="Proxy URL for HTTP requests to prevent Server-Side Request Forgery (SSRF)",
         default=None,
     )
 
-    SSRF_PROXY_HTTPS_URL: str | None = Field(
+    SSRF_PROXY_HTTPS_URL: Optional[str] = Field(
         description="Proxy URL for HTTPS requests to prevent Server-Side Request Forgery (SSRF)",
         default=None,
     )
@@ -488,21 +372,6 @@ class HttpConfig(BaseSettings):
         default=5,
     )
 
-    SSRF_POOL_MAX_CONNECTIONS: PositiveInt = Field(
-        description="Maximum number of concurrent connections for the SSRF HTTP client",
-        default=100,
-    )
-
-    SSRF_POOL_MAX_KEEPALIVE_CONNECTIONS: PositiveInt = Field(
-        description="Maximum number of persistent keep-alive connections for the SSRF HTTP client",
-        default=20,
-    )
-
-    SSRF_POOL_KEEPALIVE_EXPIRY: PositiveFloat | None = Field(
-        description="Keep-alive expiry in seconds for idle SSRF connections (set to None to disable)",
-        default=5.0,
-    )
-
     RESPECT_XFORWARD_HEADERS_ENABLED: bool = Field(
         description="Enable handling of X-Forwarded-For, X-Forwarded-Proto, and X-Forwarded-Port headers"
         " when the app is behind a single trusted reverse proxy.",
@@ -520,11 +389,6 @@ class InnerAPIConfig(BaseSettings):
         default=False,
     )
 
-    INNER_API_KEY: str | None = Field(
-        description="API key for accessing the internal API",
-        default=None,
-    )
-
 
 class LoggingConfig(BaseSettings):
     """
@@ -536,7 +400,7 @@ class LoggingConfig(BaseSettings):
         default="INFO",
     )
 
-    LOG_FILE: str | None = Field(
+    LOG_FILE: Optional[str] = Field(
         description="File path for log output.",
         default=None,
     )
@@ -556,12 +420,12 @@ class LoggingConfig(BaseSettings):
         default="%(asctime)s.%(msecs)03d %(levelname)s [%(threadName)s] [%(filename)s:%(lineno)d] - %(message)s",
     )
 
-    LOG_DATEFORMAT: str | None = Field(
+    LOG_DATEFORMAT: Optional[str] = Field(
         description="Date format string for log timestamps",
         default=None,
     )
 
-    LOG_TZ: str | None = Field(
+    LOG_TZ: Optional[str] = Field(
         description="Timezone for log timestamps (e.g., 'America/New_York')",
         default="UTC",
     )
@@ -569,7 +433,7 @@ class LoggingConfig(BaseSettings):
 
 class ModelLoadBalanceConfig(BaseSettings):
     """
-    Configuration for model load balancing and token counting
+    Configuration for model load balancing
     """
 
     MODEL_LB_ENABLED: bool = Field(
@@ -577,11 +441,6 @@ class ModelLoadBalanceConfig(BaseSettings):
         default=False,
     )
 
-    PLUGIN_BASED_TOKEN_COUNTING_ENABLED: bool = Field(
-        description="Enable or disable plugin based token counting. If disabled, token counting will return 0.",
-        default=False,
-    )
-
 
 class BillingConfig(BaseSettings):
     """
@@ -605,22 +464,6 @@ class UpdateConfig(BaseSettings):
     )
 
 
-class WorkflowVariableTruncationConfig(BaseSettings):
-    WORKFLOW_VARIABLE_TRUNCATION_MAX_SIZE: PositiveInt = Field(
-        # 1000 KiB
-        1024_000,
-        description="Maximum size for variable to trigger final truncation.",
-    )
-    WORKFLOW_VARIABLE_TRUNCATION_STRING_LENGTH: PositiveInt = Field(
-        100000,
-        description="maximum length for string to trigger tuncation, measure in number of characters",
-    )
-    WORKFLOW_VARIABLE_TRUNCATION_ARRAY_LENGTH: PositiveInt = Field(
-        1000,
-        description="maximum length for array to trigger truncation.",
-    )
-
-
 class WorkflowConfig(BaseSettings):
     """
     Configuration for workflow execution
@@ -641,36 +484,14 @@ class WorkflowConfig(BaseSettings):
         default=5,
     )
 
-    MAX_VARIABLE_SIZE: PositiveInt = Field(
-        description="Maximum size in bytes for a single variable in workflows. Default to 200 KB.",
-        default=200 * 1024,
-    )
-
-    TEMPLATE_TRANSFORM_MAX_LENGTH: PositiveInt = Field(
-        description="Maximum number of characters allowed in Template Transform node output",
-        default=400_000,
-    )
-
-    # GraphEngine Worker Pool Configuration
-    GRAPH_ENGINE_MIN_WORKERS: PositiveInt = Field(
-        description="Minimum number of workers per GraphEngine instance",
-        default=1,
-    )
-
-    GRAPH_ENGINE_MAX_WORKERS: PositiveInt = Field(
-        description="Maximum number of workers per GraphEngine instance",
-        default=10,
-    )
-
-    GRAPH_ENGINE_SCALE_UP_THRESHOLD: PositiveInt = Field(
-        description="Queue depth threshold that triggers worker scale up",
+    WORKFLOW_PARALLEL_DEPTH_LIMIT: PositiveInt = Field(
+        description="Maximum allowed depth for nested parallel executions",
         default=3,
     )
 
-    GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME: float = Field(
-        description="Seconds of idle time before scaling down workers",
-        default=5.0,
-        ge=0.1,
+    MAX_VARIABLE_SIZE: PositiveInt = Field(
+        description="Maximum size in bytes for a single variable in workflows. Default to 200 KB.",
+        default=200 * 1024,
     )
 
 
@@ -684,44 +505,6 @@ class WorkflowNodeExecutionConfig(BaseSettings):
         default=100,
     )
 
-    WORKFLOW_NODE_EXECUTION_STORAGE: str = Field(
-        default="rdbms",
-        description="Storage backend for WorkflowNodeExecution. Options: 'rdbms', 'hybrid'",
-    )
-
-
-class RepositoryConfig(BaseSettings):
-    """
-    Configuration for repository implementations
-    """
-
-    CORE_WORKFLOW_EXECUTION_REPOSITORY: str = Field(
-        description="Repository implementation for WorkflowExecution. Options: "
-        "'core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository' (default), "
-        "'core.repositories.celery_workflow_execution_repository.CeleryWorkflowExecutionRepository'",
-        default="core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository",
-    )
-
-    CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
-        description="Repository implementation for WorkflowNodeExecution. Options: "
-        "'core.repositories.sqlalchemy_workflow_node_execution_repository."
-        "SQLAlchemyWorkflowNodeExecutionRepository' (default), "
-        "'core.repositories.celery_workflow_node_execution_repository."
-        "CeleryWorkflowNodeExecutionRepository'",
-        default="core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository",
-    )
-
-    API_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
-        description="Service-layer repository implementation for WorkflowNodeExecutionModel operations. "
-        "Specify as a module path",
-        default="repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository",
-    )
-
-    API_WORKFLOW_RUN_REPOSITORY: str = Field(
-        description="Service-layer repository implementation for WorkflowRun operations. Specify as a module path",
-        default="repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository",
-    )
-
 
 class AuthConfig(BaseSettings):
     """
@@ -733,22 +516,22 @@ class AuthConfig(BaseSettings):
         default="/console/api/oauth/authorize",
     )
 
-    GITHUB_CLIENT_ID: str | None = Field(
+    GITHUB_CLIENT_ID: Optional[str] = Field(
         description="GitHub OAuth client ID",
         default=None,
     )
 
-    GITHUB_CLIENT_SECRET: str | None = Field(
+    GITHUB_CLIENT_SECRET: Optional[str] = Field(
         description="GitHub OAuth client secret",
         default=None,
     )
 
-    GOOGLE_CLIENT_ID: str | None = Field(
+    GOOGLE_CLIENT_ID: Optional[str] = Field(
         description="Google OAuth client ID",
         default=None,
     )
 
-    GOOGLE_CLIENT_SECRET: str | None = Field(
+    GOOGLE_CLIENT_SECRET: Optional[str] = Field(
         description="Google OAuth client secret",
         default=None,
     )
@@ -773,21 +556,6 @@ class AuthConfig(BaseSettings):
         default=86400,
     )
 
-    CHANGE_EMAIL_LOCKOUT_DURATION: PositiveInt = Field(
-        description="Time (in seconds) a user must wait before retrying change email after exceeding the rate limit.",
-        default=86400,
-    )
-
-    OWNER_TRANSFER_LOCKOUT_DURATION: PositiveInt = Field(
-        description="Time (in seconds) a user must wait before retrying owner transfer after exceeding the rate limit.",
-        default=86400,
-    )
-
-    EMAIL_REGISTER_LOCKOUT_DURATION: PositiveInt = Field(
-        description="Time (in seconds) a user must wait before retrying email register after exceeding the rate limit.",
-        default=86400,
-    )
-
 
 class ModerationConfig(BaseSettings):
     """
@@ -811,71 +579,47 @@ class ToolConfig(BaseSettings):
     )
 
 
-class TemplateMode(StrEnum):
-    # unsafe mode allows flexible operations in templates, but may cause security vulnerabilities
-    UNSAFE = "unsafe"
-
-    # sandbox mode restricts some unsafe operations like accessing __class__.
-    # however, it is still not 100% safe, for example, cpu exploitation can happen.
-    SANDBOX = "sandbox"
-
-    # templating is disabled
-    DISABLED = "disabled"
-
-
 class MailConfig(BaseSettings):
     """
     Configuration for email services
     """
 
-    MAIL_TEMPLATING_MODE: TemplateMode = Field(
-        description="Template mode for email services",
-        default=TemplateMode.SANDBOX,
-    )
-
-    MAIL_TEMPLATING_TIMEOUT: int = Field(
-        description="""
-        Timeout for email templating in seconds. Used to prevent infinite loops in malicious templates.
-        Only available in sandbox mode.""",
-        default=3,
-    )
-
-    MAIL_TYPE: str | None = Field(
-        description="Email service provider type ('smtp' or 'resend' or 'sendGrid), default to None.",
+    MAIL_TYPE: Optional[str] = Field(
+        description="Email service provider type ('smtp' or 'resend'), default to None.",
         default=None,
     )
 
-    MAIL_DEFAULT_SEND_FROM: str | None = Field(
+    MAIL_DEFAULT_SEND_FROM: Optional[str] = Field(
         description="Default email address to use as the sender",
         default=None,
     )
 
-    RESEND_API_KEY: str | None = Field(
+    RESEND_API_KEY: Optional[str] = Field(
         description="API key for Resend email service",
         default=None,
     )
 
-    RESEND_API_URL: str | None = Field(
+    RESEND_API_URL: Optional[str] = Field(
         description="API URL for Resend email service",
         default=None,
     )
 
-    SMTP_SERVER: str | None = Field(
+    SMTP_SERVER: Optional[str] = Field(
         description="SMTP server hostname",
         default=None,
     )
 
-    SMTP_PORT: int | None = Field(
+    SMTP_PORT: Optional[int] = Field(
         description="SMTP server port number",
         default=465,
     )
 
-    SMTP_USERNAME: str | None = Field(
+    SMTP_USERNAME: Optional[str] = Field(
         description="Username for SMTP authentication",
         default=None,
     )
 
-    SMTP_PASSWORD: str | None = Field(
+    SMTP_PASSWORD: Optional[str] = Field(
         description="Password for SMTP authentication",
         default=None,
     )
@@ -895,11 +639,6 @@ class MailConfig(BaseSettings):
         default=50,
     )
 
-    SENDGRID_API_KEY: str | None = Field(
-        description="API key for SendGrid service",
-        default=None,
-    )
-
 
 class RagEtlConfig(BaseSettings):
     """
@@ -918,17 +657,17 @@ class RagEtlConfig(BaseSettings):
         default="database",
     )
 
-    UNSTRUCTURED_API_URL: str | None = Field(
+    UNSTRUCTURED_API_URL: Optional[str] = Field(
         description="API URL for Unstructured.io service",
         default=None,
     )
 
-    UNSTRUCTURED_API_KEY: str | None = Field(
+    UNSTRUCTURED_API_KEY: Optional[str] = Field(
         description="API key for Unstructured.io service",
         default="",
     )
 
-    SCARF_NO_ANALYTICS: str | None = Field(
+    SCARF_NO_ANALYTICS: Optional[str] = Field(
         description="This is about whether to disable Scarf analytics in Unstructured library.",
         default="false",
     )
@@ -969,16 +708,6 @@ class DataSetConfig(BaseSettings):
         default=30,
     )
 
-    DSL_EXPORT_ENCRYPT_DATASET_ID: bool = Field(
-        description="Enable or disable dataset ID encryption when exporting DSL files",
-        default=True,
-    )
-
-    DATASET_MAX_SEGMENTS_PER_REQUEST: NonNegativeInt = Field(
-        description="Maximum number of segments for dataset segments API (0 for unlimited)",
-        default=0,
-    )
-
 
 class WorkspaceConfig(BaseSettings):
     """
@@ -1021,79 +750,6 @@ class CeleryBeatConfig(BaseSettings):
     )
 
 
-class CeleryScheduleTasksConfig(BaseSettings):
-    ENABLE_CLEAN_EMBEDDING_CACHE_TASK: bool = Field(
-        description="Enable clean embedding cache task",
-        default=False,
-    )
-    ENABLE_CLEAN_UNUSED_DATASETS_TASK: bool = Field(
-        description="Enable clean unused datasets task",
-        default=False,
-    )
-    ENABLE_CREATE_TIDB_SERVERLESS_TASK: bool = Field(
-        description="Enable create tidb service job task",
-        default=False,
-    )
-    ENABLE_UPDATE_TIDB_SERVERLESS_STATUS_TASK: bool = Field(
-        description="Enable update tidb service job status task",
-        default=False,
-    )
-    ENABLE_CLEAN_MESSAGES: bool = Field(
-        description="Enable clean messages task",
-        default=False,
-    )
-    ENABLE_MAIL_CLEAN_DOCUMENT_NOTIFY_TASK: bool = Field(
-        description="Enable mail clean document notify task",
-        default=False,
-    )
-    ENABLE_DATASETS_QUEUE_MONITOR: bool = Field(
-        description="Enable queue monitor task",
-        default=False,
-    )
-    ENABLE_CHECK_UPGRADABLE_PLUGIN_TASK: bool = Field(
-        description="Enable check upgradable plugin task",
-        default=True,
-    )
-    ENABLE_WORKFLOW_SCHEDULE_POLLER_TASK: bool = Field(
-        description="Enable workflow schedule poller task",
-        default=True,
-    )
-    WORKFLOW_SCHEDULE_POLLER_INTERVAL: int = Field(
-        description="Workflow schedule poller interval in minutes",
-        default=1,
-    )
-    WORKFLOW_SCHEDULE_POLLER_BATCH_SIZE: int = Field(
-        description="Maximum number of schedules to process in each poll batch",
-        default=100,
-    )
-    WORKFLOW_SCHEDULE_MAX_DISPATCH_PER_TICK: int = Field(
-        description="Maximum schedules to dispatch per tick (0=unlimited, circuit breaker)",
-        default=0,
-    )
-
-    # Trigger provider refresh (simple version)
-    ENABLE_TRIGGER_PROVIDER_REFRESH_TASK: bool = Field(
-        description="Enable trigger provider refresh poller",
-        default=True,
-    )
-    TRIGGER_PROVIDER_REFRESH_INTERVAL: int = Field(
-        description="Trigger provider refresh poller interval in minutes",
-        default=1,
-    )
-    TRIGGER_PROVIDER_REFRESH_BATCH_SIZE: int = Field(
-        description="Max trigger subscriptions to process per tick",
-        default=200,
-    )
-    TRIGGER_PROVIDER_CREDENTIAL_THRESHOLD_SECONDS: int = Field(
-        description="Proactive credential refresh threshold in seconds",
-        default=60 * 60,
-    )
-    TRIGGER_PROVIDER_SUBSCRIPTION_THRESHOLD_SECONDS: int = Field(
-        description="Proactive subscription refresh threshold in seconds",
-        default=60 * 60,
-    )
-
-
 class PositionConfig(BaseSettings):
     POSITION_PROVIDER_PINS: str = Field(
         description="Comma-separated list of pinned model providers",
@@ -1183,38 +839,6 @@ class AccountConfig(BaseSettings):
         default=5,
     )
 
-    EDUCATION_ENABLED: bool = Field(
-        description="whether to enable education identity",
-        default=False,
-    )
-
-
-class WorkflowLogConfig(BaseSettings):
-    WORKFLOW_LOG_CLEANUP_ENABLED: bool = Field(default=False, description="Enable workflow run log cleanup")
-    WORKFLOW_LOG_RETENTION_DAYS: int = Field(default=30, description="Retention days for workflow run logs")
-    WORKFLOW_LOG_CLEANUP_BATCH_SIZE: int = Field(
-        default=100, description="Batch size for workflow run log cleanup operations"
-    )
-
-
-class SwaggerUIConfig(BaseSettings):
-    SWAGGER_UI_ENABLED: bool = Field(
-        description="Whether to enable Swagger UI in api module",
-        default=True,
-    )
-
-    SWAGGER_UI_PATH: str = Field(
-        description="Swagger UI page path in api module",
-        default="/swagger-ui.html",
-    )
-
-
-class TenantIsolatedTaskQueueConfig(BaseSettings):
-    TENANT_ISOLATED_TASK_CONCURRENCY: int = Field(
-        description="Number of tasks allowed to be delivered concurrently from isolated queue per tenant",
-        default=1,
-    )
-
 
 class FeatureConfig(
     # place the configs in alphabet order
@@ -1222,8 +846,6 @@ class FeatureConfig(
     AuthConfig,  # Changed from OAuthConfig to AuthConfig
     BillingConfig,
     CodeExecutionSandboxConfig,
-    TriggerConfig,
-    AsyncWorkflowConfig,
     PluginConfig,
     MarketplaceConfig,
     DataSetConfig,
@@ -1240,9 +862,7 @@ class FeatureConfig(
     MultiModalTransferConfig,
     PositionConfig,
     RagEtlConfig,
-    RepositoryConfig,
     SecurityConfig,
-    TenantIsolatedTaskQueueConfig,
     ToolConfig,
     UpdateConfig,
     WorkflowConfig,
@@ -1250,12 +870,8 @@ class FeatureConfig(
     WorkspaceConfig,
     LoginConfig,
     AccountConfig,
-    SwaggerUIConfig,
     # hosted services config
     HostedServiceConfig,
     CeleryBeatConfig,
-    CeleryScheduleTasksConfig,
-    WorkflowLogConfig,
-    WorkflowVariableTruncationConfig,
 ):
     pass

api/configs/feature/hosted_service/__init__.py

@@ -1,4 +1,6 @@
-from pydantic import Field, NonNegativeInt
+from typing import Optional
+
+from pydantic import Field, NonNegativeInt, computed_field
 from pydantic_settings import BaseSettings
 
 
@@ -38,17 +40,17 @@ class HostedOpenAiConfig(BaseSettings):
     Configuration for hosted OpenAI service
     """
 
-    HOSTED_OPENAI_API_KEY: str | None = Field(
+    HOSTED_OPENAI_API_KEY: Optional[str] = Field(
         description="API key for hosted OpenAI service",
         default=None,
     )
 
-    HOSTED_OPENAI_API_BASE: str | None = Field(
+    HOSTED_OPENAI_API_BASE: Optional[str] = Field(
         description="Base URL for hosted OpenAI API",
         default=None,
     )
 
-    HOSTED_OPENAI_API_ORGANIZATION: str | None = Field(
+    HOSTED_OPENAI_API_ORGANIZATION: Optional[str] = Field(
         description="Organization ID for hosted OpenAI service",
         default=None,
     )
@@ -108,12 +110,12 @@ class HostedAzureOpenAiConfig(BaseSettings):
         default=False,
     )
 
-    HOSTED_AZURE_OPENAI_API_KEY: str | None = Field(
+    HOSTED_AZURE_OPENAI_API_KEY: Optional[str] = Field(
         description="API key for hosted Azure OpenAI service",
         default=None,
     )
 
-    HOSTED_AZURE_OPENAI_API_BASE: str | None = Field(
+    HOSTED_AZURE_OPENAI_API_BASE: Optional[str] = Field(
         description="Base URL for hosted Azure OpenAI API",
         default=None,
     )
@@ -129,12 +131,12 @@ class HostedAnthropicConfig(BaseSettings):
     Configuration for hosted Anthropic service
     """
 
-    HOSTED_ANTHROPIC_API_BASE: str | None = Field(
+    HOSTED_ANTHROPIC_API_BASE: Optional[str] = Field(
         description="Base URL for hosted Anthropic API",
         default=None,
     )
 
-    HOSTED_ANTHROPIC_API_KEY: str | None = Field(
+    HOSTED_ANTHROPIC_API_KEY: Optional[str] = Field(
         description="API key for hosted Anthropic service",
         default=None,
     )
@@ -220,28 +222,11 @@ class HostedFetchAppTemplateConfig(BaseSettings):
     )
 
 
-class HostedFetchPipelineTemplateConfig(BaseSettings):
-    """
-    Configuration for fetching pipeline templates
-    """
-
-    HOSTED_FETCH_PIPELINE_TEMPLATES_MODE: str = Field(
-        description="Mode for fetching pipeline templates: remote, db, or builtin default to remote,",
-        default="remote",
-    )
-
-    HOSTED_FETCH_PIPELINE_TEMPLATES_REMOTE_DOMAIN: str = Field(
-        description="Domain for fetching remote pipeline templates",
-        default="https://tmpl.dify.ai",
-    )
-
-
 class HostedServiceConfig(
     # place the configs in alphabet order
     HostedAnthropicConfig,
     HostedAzureOpenAiConfig,
     HostedFetchAppTemplateConfig,
-    HostedFetchPipelineTemplateConfig,
     HostedMinmaxConfig,
     HostedOpenAiConfig,
     HostedSparkConfig,

api/configs/middleware/__init__.py

@@ -1,8 +1,8 @@
 import os
-from typing import Any, Literal
-from urllib.parse import parse_qsl, quote_plus
+from typing import Any, Literal, Optional
+from urllib.parse import quote_plus
 
-from pydantic import Field, NonNegativeFloat, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
+from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
 from pydantic_settings import BaseSettings
 
 from .cache.redis_config import RedisConfig
@@ -10,7 +10,6 @@ from .storage.aliyun_oss_storage_config import AliyunOSSStorageConfig
 from .storage.amazon_s3_storage_config import S3StorageConfig
 from .storage.azure_blob_storage_config import AzureBlobStorageConfig
 from .storage.baidu_obs_storage_config import BaiduOBSStorageConfig
-from .storage.clickzetta_volume_storage_config import ClickZettaVolumeStorageConfig
 from .storage.google_cloud_storage_config import GoogleCloudStorageConfig
 from .storage.huawei_obs_storage_config import HuaweiCloudOBSStorageConfig
 from .storage.oci_storage_config import OCIStorageConfig
@@ -18,32 +17,25 @@ from .storage.opendal_storage_config import OpenDALStorageConfig
 from .storage.supabase_storage_config import SupabaseStorageConfig
 from .storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
 from .storage.volcengine_tos_storage_config import VolcengineTOSStorageConfig
-from .vdb.alibabacloud_mysql_config import AlibabaCloudMySQLConfig
 from .vdb.analyticdb_config import AnalyticdbConfig
 from .vdb.baidu_vector_config import BaiduVectorDBConfig
 from .vdb.chroma_config import ChromaConfig
-from .vdb.clickzetta_config import ClickzettaConfig
 from .vdb.couchbase_config import CouchbaseConfig
 from .vdb.elasticsearch_config import ElasticsearchConfig
-from .vdb.huawei_cloud_config import HuaweiCloudConfig
 from .vdb.lindorm_config import LindormConfig
-from .vdb.matrixone_config import MatrixoneConfig
 from .vdb.milvus_config import MilvusConfig
 from .vdb.myscale_config import MyScaleConfig
 from .vdb.oceanbase_config import OceanBaseVectorConfig
-from .vdb.opengauss_config import OpenGaussConfig
 from .vdb.opensearch_config import OpenSearchConfig
 from .vdb.oracle_config import OracleConfig
 from .vdb.pgvector_config import PGVectorConfig
 from .vdb.pgvectors_config import PGVectoRSConfig
 from .vdb.qdrant_config import QdrantConfig
 from .vdb.relyt_config import RelytConfig
-from .vdb.tablestore_config import TableStoreConfig
 from .vdb.tencent_vector_config import TencentVectorDBConfig
 from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig
 from .vdb.tidb_vector_config import TiDBVectorConfig
 from .vdb.upstash_config import UpstashConfig
-from .vdb.vastbase_vector_config import VastbaseVectorConfig
 from .vdb.vikingdb_config import VikingDBConfig
 from .vdb.weaviate_config import WeaviateConfig
 
@@ -55,7 +47,6 @@ class StorageConfig(BaseSettings):
         "aliyun-oss",
         "azure-blob",
         "baidu-obs",
-        "clickzetta-volume",
         "google-storage",
         "huawei-obs",
         "oci-storage",
@@ -65,9 +56,8 @@ class StorageConfig(BaseSettings):
         "local",
     ] = Field(
         description="Type of storage to use."
-        " Options: 'opendal', '(deprecated) local', 's3', 'aliyun-oss', 'azure-blob', 'baidu-obs', "
-        "'clickzetta-volume', 'google-storage', 'huawei-obs', 'oci-storage', 'tencent-cos', "
-        "'volcengine-tos', 'supabase'. Default is 'opendal'.",
+        " Options: 'opendal', '(deprecated) local', 's3', 'aliyun-oss', 'azure-blob', 'baidu-obs', 'google-storage', "
+        "'huawei-obs', 'oci-storage', 'tencent-cos', 'volcengine-tos', 'supabase'. Default is 'opendal'.",
         default="opendal",
     )
 
@@ -79,22 +69,17 @@ class StorageConfig(BaseSettings):
 
 
 class VectorStoreConfig(BaseSettings):
-    VECTOR_STORE: str | None = Field(
+    VECTOR_STORE: Optional[str] = Field(
         description="Type of vector store to use for efficient similarity search."
         " Set to None if not using a vector store.",
         default=None,
     )
 
-    VECTOR_STORE_WHITELIST_ENABLE: bool | None = Field(
+    VECTOR_STORE_WHITELIST_ENABLE: Optional[bool] = Field(
         description="Enable whitelist for vector store.",
         default=False,
     )
 
-    VECTOR_INDEX_NAME_PREFIX: str | None = Field(
-        description="Prefix used to create collection name in vector database",
-        default="Vector_index",
-    )
-
 
 class KeywordStoreConfig(BaseSettings):
     KEYWORD_STORE: str = Field(
@@ -105,12 +90,6 @@ class KeywordStoreConfig(BaseSettings):
 
 
 class DatabaseConfig(BaseSettings):
-    # Database type selector
-    DB_TYPE: Literal["postgresql", "mysql", "oceanbase"] = Field(
-        description="Database type to use. OceanBase is MySQL-compatible.",
-        default="postgresql",
-    )
-
     DB_HOST: str = Field(
         description="Hostname or IP address of the database server.",
         default="localhost",
@@ -146,13 +125,12 @@ class DatabaseConfig(BaseSettings):
         default="",
     )
 
-    @computed_field  # type: ignore[prop-decorator]
-    @property
-    def SQLALCHEMY_DATABASE_URI_SCHEME(self) -> str:
-        return "postgresql" if self.DB_TYPE == "postgresql" else "mysql+pymysql"
+    SQLALCHEMY_DATABASE_URI_SCHEME: str = Field(
+        description="Database URI scheme for SQLAlchemy connection.",
+        default="postgresql",
+    )
 
-    @computed_field  # type: ignore[prop-decorator]
-    @property
+    @computed_field
     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
@@ -179,11 +157,6 @@ class DatabaseConfig(BaseSettings):
         default=3600,
     )
 
-    SQLALCHEMY_POOL_USE_LIFO: bool = Field(
-        description="If True, SQLAlchemy will use last-in-first-out way to retrieve connections from pool.",
-        default=False,
-    )
-
     SQLALCHEMY_POOL_PRE_PING: bool = Field(
         description="If True, enables connection pool pre-ping feature to check connections.",
         default=False,
@@ -194,82 +167,55 @@ class DatabaseConfig(BaseSettings):
         default=False,
     )
 
-    SQLALCHEMY_POOL_TIMEOUT: NonNegativeInt = Field(
-        description="Number of seconds to wait for a connection from the pool before raising a timeout error.",
-        default=30,
-    )
-
     RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
         description="Number of processes for the retrieval service, default to CPU cores.",
-        default=os.cpu_count() or 1,
+        default=os.cpu_count(),
     )
 
-    @computed_field  # type: ignore[prop-decorator]
-    @property
+    @computed_field
     def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
-        # Parse DB_EXTRAS for 'options'
-        db_extras_dict = dict(parse_qsl(self.DB_EXTRAS))
-        options = db_extras_dict.get("options", "")
-        connect_args = {}
-        # Use the dynamic SQLALCHEMY_DATABASE_URI_SCHEME property
-        if self.SQLALCHEMY_DATABASE_URI_SCHEME.startswith("postgresql"):
-            timezone_opt = "-c timezone=UTC"
-            if options:
-                merged_options = f"{options} {timezone_opt}"
-            else:
-                merged_options = timezone_opt
-            connect_args = {"options": merged_options}
-
         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": connect_args,
-            "pool_use_lifo": self.SQLALCHEMY_POOL_USE_LIFO,
-            "pool_reset_on_return": None,
-            "pool_timeout": self.SQLALCHEMY_POOL_TIMEOUT,
+            "connect_args": {"options": "-c timezone=UTC"},
         }
 
 
 class CeleryConfig(DatabaseConfig):
     CELERY_BACKEND: str = Field(
-        description="Backend for Celery task results. Options: 'database', 'redis', 'rabbitmq'.",
-        default="redis",
+        description="Backend for Celery task results. Options: 'database', 'redis'.",
+        default="database",
     )
 
-    CELERY_BROKER_URL: str | None = Field(
+    CELERY_BROKER_URL: Optional[str] = Field(
         description="URL of the message broker for Celery tasks.",
         default=None,
     )
 
-    CELERY_USE_SENTINEL: bool | None = Field(
+    CELERY_USE_SENTINEL: Optional[bool] = Field(
         description="Whether to use Redis Sentinel for high availability.",
         default=False,
     )
 
-    CELERY_SENTINEL_MASTER_NAME: str | None = Field(
+    CELERY_SENTINEL_MASTER_NAME: Optional[str] = Field(
         description="Name of the Redis Sentinel master.",
         default=None,
     )
 
-    CELERY_SENTINEL_PASSWORD: str | None = Field(
-        description="Password of the Redis Sentinel master.",
-        default=None,
-    )
-    CELERY_SENTINEL_SOCKET_TIMEOUT: PositiveFloat | None = Field(
+    CELERY_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
         description="Timeout for Redis Sentinel socket operations in seconds.",
         default=0.1,
     )
 
     @computed_field
     def CELERY_RESULT_BACKEND(self) -> str | None:
-        if self.CELERY_BACKEND in ("database", "rabbitmq"):
-            return f"db+{self.SQLALCHEMY_DATABASE_URI}"
-        elif self.CELERY_BACKEND == "redis":
-            return self.CELERY_BROKER_URL
-        else:
-            return None
+        return (
+            "db+{}".format(self.SQLALCHEMY_DATABASE_URI)
+            if self.CELERY_BACKEND == "database"
+            else self.CELERY_BROKER_URL
+        )
 
     @property
     def BROKER_USE_SSL(self) -> bool:
@@ -281,39 +227,21 @@ class InternalTestConfig(BaseSettings):
     Configuration settings for Internal Test
     """
 
-    AWS_SECRET_ACCESS_KEY: str | None = Field(
+    AWS_SECRET_ACCESS_KEY: Optional[str] = Field(
         description="Internal test AWS secret access key",
         default=None,
     )
 
-    AWS_ACCESS_KEY_ID: str | None = Field(
+    AWS_ACCESS_KEY_ID: Optional[str] = Field(
         description="Internal test AWS access key ID",
         default=None,
     )
 
 
-class DatasetQueueMonitorConfig(BaseSettings):
-    """
-    Configuration settings for Dataset Queue Monitor
-    """
-
-    QUEUE_MONITOR_THRESHOLD: NonNegativeInt | None = Field(
-        description="Threshold for dataset queue monitor",
-        default=200,
-    )
-    QUEUE_MONITOR_ALERT_EMAILS: str | None = Field(
-        description="Emails for dataset queue monitor alert, separated by commas",
-        default=None,
-    )
-    QUEUE_MONITOR_INTERVAL: NonNegativeFloat | None = Field(
-        description="Interval for dataset queue monitor in minutes",
-        default=30,
-    )
-
-
 class MiddlewareConfig(
     # place the configs in alphabet order
-    CeleryConfig,  # Note: CeleryConfig already inherits from DatabaseConfig
+    CeleryConfig,
+    DatabaseConfig,
     KeywordStoreConfig,
     RedisConfig,
     # configs of storage and storage providers
@@ -321,7 +249,6 @@ class MiddlewareConfig(
     AliyunOSSStorageConfig,
     AzureBlobStorageConfig,
     BaiduOBSStorageConfig,
-    ClickZettaVolumeStorageConfig,
     GoogleCloudStorageConfig,
     HuaweiCloudOBSStorageConfig,
     OCIStorageConfig,
@@ -334,15 +261,11 @@ class MiddlewareConfig(
     VectorStoreConfig,
     AnalyticdbConfig,
     ChromaConfig,
-    ClickzettaConfig,
-    HuaweiCloudConfig,
     MilvusConfig,
-    AlibabaCloudMySQLConfig,
     MyScaleConfig,
     OpenSearchConfig,
     OracleConfig,
     PGVectorConfig,
-    VastbaseVectorConfig,
     PGVectoRSConfig,
     QdrantConfig,
     RelytConfig,
@@ -358,9 +281,5 @@ class MiddlewareConfig(
     LindormConfig,
     OceanBaseVectorConfig,
     BaiduVectorDBConfig,
-    OpenGaussConfig,
-    TableStoreConfig,
-    DatasetQueueMonitorConfig,
-    MatrixoneConfig,
 ):
     pass

api/configs/middleware/cache/redis_config.py

@@ -1,3 +1,5 @@
+from typing import Optional
+
 from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt
 from pydantic_settings import BaseSettings
 
@@ -17,12 +19,12 @@ class RedisConfig(BaseSettings):
         default=6379,
     )
 
-    REDIS_USERNAME: str | None = Field(
+    REDIS_USERNAME: Optional[str] = Field(
         description="Username for Redis authentication (if required)",
         default=None,
     )
 
-    REDIS_PASSWORD: str | None = Field(
+    REDIS_PASSWORD: Optional[str] = Field(
         description="Password for Redis authentication (if required)",
         default=None,
     )
@@ -37,52 +39,32 @@ class RedisConfig(BaseSettings):
         default=False,
     )
 
-    REDIS_SSL_CERT_REQS: str = Field(
-        description="SSL certificate requirements (CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED)",
-        default="CERT_NONE",
-    )
-
-    REDIS_SSL_CA_CERTS: str | None = Field(
-        description="Path to the CA certificate file for SSL verification",
-        default=None,
-    )
-
-    REDIS_SSL_CERTFILE: str | None = Field(
-        description="Path to the client certificate file for SSL authentication",
-        default=None,
-    )
-
-    REDIS_SSL_KEYFILE: str | None = Field(
-        description="Path to the client private key file for SSL authentication",
-        default=None,
-    )
-
-    REDIS_USE_SENTINEL: bool | None = Field(
+    REDIS_USE_SENTINEL: Optional[bool] = Field(
         description="Enable Redis Sentinel mode for high availability",
         default=False,
     )
 
-    REDIS_SENTINELS: str | None = Field(
+    REDIS_SENTINELS: Optional[str] = Field(
         description="Comma-separated list of Redis Sentinel nodes (host:port)",
         default=None,
     )
 
-    REDIS_SENTINEL_SERVICE_NAME: str | None = Field(
+    REDIS_SENTINEL_SERVICE_NAME: Optional[str] = Field(
         description="Name of the Redis Sentinel service to monitor",
         default=None,
     )
 
-    REDIS_SENTINEL_USERNAME: str | None = Field(
+    REDIS_SENTINEL_USERNAME: Optional[str] = Field(
         description="Username for Redis Sentinel authentication (if required)",
         default=None,
     )
 
-    REDIS_SENTINEL_PASSWORD: str | None = Field(
+    REDIS_SENTINEL_PASSWORD: Optional[str] = Field(
         description="Password for Redis Sentinel authentication (if required)",
         default=None,
     )
 
-    REDIS_SENTINEL_SOCKET_TIMEOUT: PositiveFloat | None = Field(
+    REDIS_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field(
         description="Socket timeout in seconds for Redis Sentinel connections",
         default=0.1,
     )
@@ -92,22 +74,12 @@ class RedisConfig(BaseSettings):
         default=False,
     )
 
-    REDIS_CLUSTERS: str | None = Field(
+    REDIS_CLUSTERS: Optional[str] = Field(
         description="Comma-separated list of Redis Clusters nodes (host:port)",
         default=None,
     )
 
-    REDIS_CLUSTERS_PASSWORD: str | None = Field(
+    REDIS_CLUSTERS_PASSWORD: Optional[str] = Field(
         description="Password for Redis Clusters authentication (if required)",
         default=None,
     )
-
-    REDIS_SERIALIZATION_PROTOCOL: int = Field(
-        description="Redis serialization protocol (RESP) version",
-        default=3,
-    )
-
-    REDIS_ENABLE_CLIENT_SIDE_CACHE: bool = Field(
-        description="Enable client side cache in redis",
-        default=False,
-    )

api/configs/middleware/storage/aliyun_oss_storage_config.py

@@ -1,3 +1,5 @@
+from typing import Optional
+
 from pydantic import Field
 from pydantic_settings import BaseSettings
 
@@ -7,37 +9,37 @@ class AliyunOSSStorageConfig(BaseSettings):
     Configuration settings for Aliyun Object Storage Service (OSS)
     """
 
-    ALIYUN_OSS_BUCKET_NAME: str | None = Field(
+    ALIYUN_OSS_BUCKET_NAME: Optional[str] = Field(
         description="Name of the Aliyun OSS bucket to store and retrieve objects",
         default=None,
     )
 
-    ALIYUN_OSS_ACCESS_KEY: str | None = Field(
+    ALIYUN_OSS_ACCESS_KEY: Optional[str] = Field(
         description="Access key ID for authenticating with Aliyun OSS",
         default=None,
     )
 
-    ALIYUN_OSS_SECRET_KEY: str | None = Field(
+    ALIYUN_OSS_SECRET_KEY: Optional[str] = Field(
         description="Secret access key for authenticating with Aliyun OSS",
         default=None,
     )
 
-    ALIYUN_OSS_ENDPOINT: str | None = Field(
+    ALIYUN_OSS_ENDPOINT: Optional[str] = Field(
         description="URL of the Aliyun OSS endpoint for your chosen region",
         default=None,
     )
 
-    ALIYUN_OSS_REGION: str | None = Field(
+    ALIYUN_OSS_REGION: Optional[str] = Field(
         description="Aliyun OSS region where your bucket is located (e.g., 'oss-cn-hangzhou')",
         default=None,
     )
 
-    ALIYUN_OSS_AUTH_VERSION: str | None = Field(
+    ALIYUN_OSS_AUTH_VERSION: Optional[str] = Field(
         description="Version of the authentication protocol to use with Aliyun OSS (e.g., 'v4')",
         default=None,
     )
 
-    ALIYUN_OSS_PATH: str | None = Field(
+    ALIYUN_OSS_PATH: Optional[str] = Field(
         description="Base path within the bucket to store objects (e.g., 'my-app-data/')",
         default=None,
     )