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3819 changed files with 295962 additions and 85974 deletions

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@ -1,12 +1,11 @@
#!/bin/bash
npm add -g pnpm@9.12.2
cd web && pnpm install
cd web && npm install
pipx install poetry
echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
echo 'alias start-web="cd /workspaces/dify/web && npm run dev"' >> ~/.bashrc
echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify up -d"' >> ~/.bashrc
echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify down"' >> ~/.bashrc

2
.gitattributes vendored
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@ -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 Window.
# These .sh scripts will be run from the Container after `docker compose up -d`.
# If they appear to be CRLF style, Dash from the Container will fail to execute
# them.

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@ -8,7 +8,7 @@ inputs:
poetry-version:
description: Poetry version to set up
required: true
default: '2.0.1'
default: '1.8.4'
poetry-lockfile:
description: Path to the Poetry lockfile to restore cache from
required: true

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@ -26,9 +26,6 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python ${{ matrix.python-version }}
uses: ./.github/actions/setup-poetry
@ -45,17 +42,25 @@ jobs:
run: poetry install -C api --with dev
- name: Check dependencies in pyproject.toml
run: poetry run -P api bash dev/pytest/pytest_artifacts.sh
run: poetry run -C api bash dev/pytest/pytest_artifacts.sh
- name: Run Unit tests
run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh
run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
- name: Run ModelRuntime
run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
- name: Run dify config tests
run: poetry run -P api python dev/pytest/pytest_config_tests.py
run: poetry run -C api python dev/pytest/pytest_config_tests.py
- name: Run Tool
run: poetry run -C api bash dev/pytest/pytest_tools.sh
- name: Run mypy
run: |
poetry run -C api python -m mypy --install-types --non-interactive .
pushd api
poetry run python -m mypy --install-types --non-interactive .
popd
- name: Set up dotenvs
run: |
@ -75,4 +80,4 @@ jobs:
ssrf_proxy
- name: Run Workflow
run: poetry run -P api bash dev/pytest/pytest_workflow.sh
run: poetry run -C api bash dev/pytest/pytest_workflow.sh

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@ -79,12 +79,10 @@ jobs:
cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
- name: Export digest
env:
DIGEST: ${{ steps.build.outputs.digest }}
run: |
mkdir -p /tmp/digests
sanitized_digest=${DIGEST#sha256:}
touch "/tmp/digests/${sanitized_digest}"
digest="${{ steps.build.outputs.digest }}"
touch "/tmp/digests/${digest#sha256:}"
- name: Upload digest
uses: actions/upload-artifact@v4
@ -134,15 +132,10 @@ jobs:
- name: Create manifest list and push
working-directory: /tmp/digests
env:
IMAGE_NAME: ${{ env[matrix.image_name_env] }}
run: |
docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
$(printf "$IMAGE_NAME@sha256:%s " *)
$(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)
- name: Inspect image
env:
IMAGE_NAME: ${{ env[matrix.image_name_env] }}
IMAGE_VERSION: ${{ steps.meta.outputs.version }}
run: |
docker buildx imagetools inspect "$IMAGE_NAME:$IMAGE_VERSION"
docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}

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@ -4,7 +4,6 @@ on:
pull_request:
branches:
- main
- plugins/beta
paths:
- api/migrations/**
- .github/workflows/db-migration-test.yml
@ -20,9 +19,6 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python
uses: ./.github/actions/setup-poetry

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

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

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@ -17,9 +17,6 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
@ -41,12 +38,12 @@ jobs:
if: steps.changed-files.outputs.any_changed == 'true'
run: |
poetry run -C api ruff --version
poetry run -C api ruff check ./
poetry run -C api ruff format --check ./
poetry run -C api ruff check ./api
poetry run -C api ruff format --check ./api
- name: Dotenv check
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
- name: Lint hints
if: failure()
@ -62,9 +59,6 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
@ -72,58 +66,22 @@ jobs:
with:
files: web/**
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 10
run_install: false
- name: Setup NodeJS
uses: actions/setup-node@v4
if: steps.changed-files.outputs.any_changed == 'true'
with:
node-version: 20
cache: pnpm
cache: yarn
cache-dependency-path: ./web/package.json
- name: Web dependencies
if: steps.changed-files.outputs.any_changed == 'true'
run: pnpm install --frozen-lockfile
run: yarn install --frozen-lockfile
- name: Web style check
if: steps.changed-files.outputs.any_changed == 'true'
run: pnpm run lint
run: yarn run lint
docker-compose-template:
name: Docker Compose Template
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v45
with:
files: |
docker/generate_docker_compose
docker/.env.example
docker/docker-compose-template.yaml
docker/docker-compose.yaml
- name: Generate Docker Compose
if: steps.changed-files.outputs.any_changed == 'true'
run: |
cd docker
./generate_docker_compose
- name: Check for changes
if: steps.changed-files.outputs.any_changed == 'true'
run: git diff --exit-code
superlinter:
name: SuperLinter
@ -132,9 +90,6 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files

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

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@ -16,7 +16,6 @@ jobs:
- uses: actions/checkout@v4
with:
fetch-depth: 2 # last 2 commits
persist-credentials: false
- name: Check for file changes in i18n/en-US
id: check_files
@ -39,11 +38,11 @@ jobs:
- name: Install dependencies
if: env.FILES_CHANGED == 'true'
run: pnpm install --frozen-lockfile
run: yarn install --frozen-lockfile
- name: Run npm script
if: env.FILES_CHANGED == 'true'
run: pnpm run auto-gen-i18n
run: npm run auto-gen-i18n
- name: Create Pull Request
if: env.FILES_CHANGED == 'true'

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@ -28,9 +28,6 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python ${{ matrix.python-version }}
uses: ./.github/actions/setup-poetry
@ -54,15 +51,7 @@ 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 Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
- name: Set up Vector Stores (TiDB, Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
uses: hoverkraft-tech/compose-action@v2.0.2
with:
compose-file: |
@ -78,9 +67,7 @@ jobs:
pgvector
chroma
elasticsearch
- name: Check TiDB Ready
run: poetry run -P api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
tidb
- name: Test Vector Stores
run: poetry run -P api bash dev/pytest/pytest_vdb.sh
run: poetry run -C api bash dev/pytest/pytest_vdb.sh

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@ -22,34 +22,25 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v45
with:
files: web/**
# to run pnpm, should install package canvas, but it always install failed on amd64 under ubuntu-latest
# - name: Install pnpm
# uses: pnpm/action-setup@v4
# with:
# version: 10
# run_install: false
# - name: Setup Node.js
# uses: actions/setup-node@v4
# if: steps.changed-files.outputs.any_changed == 'true'
# with:
# node-version: 20
# cache: pnpm
# cache-dependency-path: ./web/package.json
- name: Setup Node.js
uses: actions/setup-node@v4
if: steps.changed-files.outputs.any_changed == 'true'
with:
node-version: 20
cache: yarn
cache-dependency-path: ./web/package.json
# - name: 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'
run: yarn install --frozen-lockfile
# - name: Run tests
# if: steps.changed-files.outputs.any_changed == 'true'
# run: pnpm test
- name: Run tests
if: steps.changed-files.outputs.any_changed == 'true'
run: yarn test

8
.gitignore vendored
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@ -163,7 +163,6 @@ docker/volumes/db/data/*
docker/volumes/redis/data/*
docker/volumes/weaviate/*
docker/volumes/qdrant/*
docker/tidb/volumes/*
docker/volumes/etcd/*
docker/volumes/minio/*
docker/volumes/milvus/*
@ -176,7 +175,6 @@ docker/volumes/pgvector/data/*
docker/volumes/pgvecto_rs/data/*
docker/volumes/couchbase/*
docker/volumes/oceanbase/*
docker/volumes/plugin_daemon/*
!docker/volumes/oceanbase/init.d
docker/nginx/conf.d/default.conf
@ -195,9 +193,3 @@ api/.vscode
.idea/
.vscode
# pnpm
/.pnpm-store
# plugin migrate
plugins.jsonl

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@ -73,7 +73,7 @@ Dify requires the following dependencies to build, make sure they're installed o
* [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/)
* [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
* [Python](https://www.python.org/) version 3.11.x or 3.12.x
### 4. Installations

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@ -70,7 +70,7 @@ 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/)
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.11.x or 3.12.x
### 4. 安装

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@ -1,155 +0,0 @@
# 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
Difys 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.

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@ -73,7 +73,7 @@ Dify を構築するには次の依存関係が必要です。それらがシス
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [pnpm](https://pnpm.io/)
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.11.x or 3.12.x
### 4. インストール

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@ -72,7 +72,7 @@ Dify yêu cầu các phụ thuộc sau để build, hãy đảm bảo chúng đ
- [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/)
- [npm](https://www.npmjs.com/) phiên bản 8.x.x hoặc [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) phiên bản 3.11.x hoặc 3.12.x
### 4. Cài đặt

23
LICENSE
View File

@ -1,12 +1,12 @@
# Open Source License
Dify is licensed under a modified version of the Apache License 2.0, with the following additional conditions:
Dify is licensed under the Apache License 2.0, with the following additional conditions:
1. Dify may be utilized commercially, including as a backend service for other applications or as an application development platform for enterprises. Should the conditions below be met, a commercial license must be obtained from the producer:
a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment.
a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment.
- Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
b. LOGO and copyright information: In the process of using Dify's frontend, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend.
- Frontend Definition: For the purposes of this license, the "frontend" of Dify includes all components located in the `web/` directory when running Dify from the raw source code, or the "web" image when running Dify with Docker.
@ -21,4 +21,19 @@ Apart from the specific conditions mentioned above, all other rights and restric
The interactive design of this product is protected by appearance patent.
© 2025 LangGenius, Inc.
© 2024 LangGenius, Inc.
----------
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

View File

@ -25,9 +25,6 @@
<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">
@ -49,8 +46,6 @@
<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>
@ -110,72 +105,6 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
**7. Backend-as-a-Service**:
All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
## Feature Comparison
<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

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@ -21,9 +21,6 @@
<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">
@ -45,7 +42,6 @@
<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;">
@ -54,7 +50,8 @@
**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>
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).
@ -69,9 +66,7 @@
**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>
@ -138,8 +133,8 @@
</tr>
</table>
## استخدام Dify
## 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.
@ -149,19 +144,15 @@
- **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
@ -194,26 +185,24 @@ docker compose up -d
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
- [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.
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**
@ -223,26 +212,26 @@ docker compose up -d
</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.
* [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.
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.
لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى security@dify.ai وسنقدم لك إجابة أكثر تفصيلاً.
## الرخصة

View File

@ -1,258 +0,0 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">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- 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., তবে কিছু অতিরিক্ত বিধিনিষেধ রয়েছে।

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<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">
@ -45,7 +42,6 @@
<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>

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@ -1,259 +0,0 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">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.

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<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">
@ -45,7 +42,6 @@
<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>
#

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<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">
@ -45,7 +42,6 @@
<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>
#
@ -56,7 +52,7 @@
Dify est une plateforme de développement d'applications LLM open source. Son interface intuitive combine un flux de travail d'IA, un pipeline RAG, des capacités d'agent, une gestion de modèles, des fonctionnalités d'observabilité, et plus encore, vous permettant de passer rapidement du prototype à la production. Voici une liste des fonctionnalités principales:
</br> </br>
**1. Flux de travail** :
**1. Flux de travail**:
Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore.
@ -64,25 +60,27 @@ Dify est une plateforme de développement d'applications LLM open source. Son in
**2. Prise en charge complète des modèles** :
**2. Prise en charge complète des modèles**:
Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. IDE de prompt** :
**3. IDE de prompt**:
Interface intuitive pour créer des prompts, comparer les performances des modèles et ajouter des fonctionnalités supplémentaires telles que la synthèse vocale à une application basée sur des chats.
**4. Pipeline RAG** :
**4. Pipeline RAG**:
Des capacités RAG étendues qui couvrent tout, de l'ingestion de documents à la récupération, avec un support prêt à l'emploi pour l'extraction de texte à partir de PDF, PPT et autres formats de document courants.
**5. Capacités d'agent** :
**5. Capac
ités d'agent**:
Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DALL·E, Stable Diffusion et WolframAlpha.
**6. LLMOps** :
**6. LLMOps**:
Surveillez et analysez les journaux d'application et les performances au fil du temps. Vous pouvez continuellement améliorer les prompts, les ensembles de données et les modèles en fonction des données de production et des annotations.
**7. Backend-as-a-Service** :
**7. Backend-as-a-Service**:
Toutes les offres de Dify sont accompagnées d'API correspondantes, vous permettant d'intégrer facilement Dify dans votre propre logique métier.

View File

@ -15,15 +15,12 @@
<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">
<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">
@ -45,7 +42,6 @@
<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>
#
@ -57,7 +53,7 @@
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**:
**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。
@ -65,25 +61,25 @@ 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
**2. 総合的なモデルサポート**:
**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**:
**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**:
**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**:
**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**:
**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**:
**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。
@ -165,7 +161,7 @@ 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
- **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。
> AWSを使用しているスタートアップ企業や中小企業の場合は、[AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)のDify Premiumをチェックして、ワンクリックで自分のAWS VPCにデプロイできます。さらに、手頃な価格のAMIオファリングして、ロゴやブランディングをカスタマイズしてアプリケーションを作成するオプションがあります。
## 最新の情報を入手
@ -178,7 +174,7 @@ GitHub上でDifyにスターを付けることで、Difyに関する新しいニ
## 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
@ -220,7 +216,7 @@ docker compose up -d
[CDK](https://aws.amazon.com/cdk/) を使用して、DifyをAWSにデプロイします
##### AWS
##### AWS
- [@KevinZhaoによるAWS CDK](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## 貢献

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@ -21,9 +21,6 @@
<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">
@ -45,7 +42,6 @@
<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>
#
@ -88,7 +84,9 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
## Feature Comparison
<table style="width: 100%;">
<tr>
<tr
>
<th align="center">Feature</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>

View File

@ -21,9 +21,6 @@
<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">
@ -45,7 +42,6 @@
<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>

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@ -25,9 +25,6 @@
<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">
@ -50,7 +47,6 @@
<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:

View File

@ -22,9 +22,6 @@
<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">
@ -47,7 +44,6 @@
<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>
@ -107,73 +103,6 @@ Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-star
**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
@ -255,4 +184,4 @@ Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj
## Licenca
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.

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@ -21,9 +21,6 @@
<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">
@ -45,7 +42,6 @@
<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>
@ -66,6 +62,8 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
Özür dilerim, haklısınız. Daha anlamlı ve akıcı bir çeviri yapmaya çalışayım. İşte güncellenmiş çeviri:
**3. Prompt IDE**:
Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
@ -152,6 +150,8 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
## Dify'ı Kullanma
- **Cloud </br>**
İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
-
Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
- **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
@ -177,6 +177,8 @@ GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
>- RAM >= 4GB
</br>
İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:
```bash

View File

@ -21,9 +21,6 @@
<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">
@ -45,7 +42,6 @@
<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>

View File

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

View File

@ -409,6 +409,7 @@ MAX_VARIABLE_SIZE=204800
APP_MAX_EXECUTION_TIME=1200
APP_MAX_ACTIVE_REQUESTS=0
# Celery beat configuration
CELERY_BEAT_SCHEDULER_TIME=1
@ -421,21 +422,6 @@ POSITION_PROVIDER_PINS=
POSITION_PROVIDER_INCLUDES=
POSITION_PROVIDER_EXCLUDES=
# Plugin configuration
PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
PLUGIN_DAEMON_URL=http://127.0.0.1:5002
PLUGIN_REMOTE_INSTALL_PORT=5003
PLUGIN_REMOTE_INSTALL_HOST=localhost
PLUGIN_MAX_PACKAGE_SIZE=15728640
INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
# Marketplace configuration
MARKETPLACE_ENABLED=true
MARKETPLACE_API_URL=https://marketplace.dify.ai
# Endpoint configuration
ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
# Reset password token expiry minutes
RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5

View File

@ -7,7 +7,7 @@ line-length = 120
quote-style = "double"
[lint]
preview = false
preview = true
select = [
"B", # flake8-bugbear rules
"C4", # flake8-comprehensions
@ -18,6 +18,7 @@ select = [
"N", # pep8-naming
"PT", # flake8-pytest-style rules
"PLC0208", # iteration-over-set
"PLC2801", # unnecessary-dunder-call
"PLC0414", # useless-import-alias
"PLE0604", # invalid-all-object
"PLE0605", # invalid-all-format
@ -45,18 +46,17 @@ ignore = [
"E712", # true-false-comparison
"E721", # type-comparison
"E722", # bare-except
"E731", # lambda-assignment
"F821", # undefined-name
"F841", # unused-variable
"FURB113", # repeated-append
"FURB152", # math-constant
"UP007", # non-pep604-annotation
"UP032", # f-string
"UP045", # non-pep604-annotation-optional
"B005", # strip-with-multi-characters
"B006", # mutable-argument-default
"B007", # unused-loop-control-variable
"B026", # star-arg-unpacking-after-keyword-arg
"B903", # class-as-data-structure
"B904", # raise-without-from-inside-except
"B905", # zip-without-explicit-strict
"N806", # non-lowercase-variable-in-function

View File

@ -4,7 +4,7 @@ FROM python:3.12-slim-bookworm AS base
WORKDIR /app/api
# Install Poetry
ENV POETRY_VERSION=2.0.1
ENV POETRY_VERSION=1.8.4
# if you located in China, you can use aliyun mirror to speed up
# RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
@ -48,20 +48,16 @@ ENV TZ=UTC
WORKDIR /app/api
RUN \
apt-get update \
# Install dependencies
&& apt-get install -y --no-install-recommends \
# basic environment
curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
# For Security
expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
# install a chinese font to support the use of tools like matplotlib
fonts-noto-cjk \
# install a package to improve the accuracy of guessing mime type and file extension
media-types \
# install libmagic to support the use of python-magic guess MIMETYPE
libmagic1 \
RUN apt-get update \
&& apt-get install -y --no-install-recommends curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
# if you located in China, you can use aliyun mirror to speed up
# && echo "deb http://mirrors.aliyun.com/debian testing main" > /etc/apt/sources.list \
&& echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
&& apt-get update \
# For Security
&& apt-get install -y --no-install-recommends expat=2.6.4-1 libldap-2.5-0=2.5.19+dfsg-1 perl=5.40.0-8 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
# install a chinese font to support the use of tools like matplotlib
&& apt-get install -y fonts-noto-cjk \
&& apt-get autoremove -y \
&& rm -rf /var/lib/apt/lists/*
@ -73,10 +69,6 @@ ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
# Download nltk data
RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')"
ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')"
# Copy source code
COPY . /app/api/
@ -84,6 +76,7 @@ COPY . /app/api/
COPY docker/entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
ARG COMMIT_SHA
ENV COMMIT_SHA=${COMMIT_SHA}

View File

@ -37,13 +37,7 @@
4. Create environment.
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. First, you need to add the poetry shell plugin, if you don't have it already, in order to run in a virtual environment. [Note: Poetry shell is no longer a native command so you need to install the poetry plugin beforehand]
```bash
poetry self add poetry-plugin-shell
```
Then, You can execute `poetry shell` to activate the environment.
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
5. Install dependencies
@ -85,5 +79,5 @@
2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
```bash
poetry run -P api bash dev/pytest/pytest_all_tests.sh
poetry run -C api bash dev/pytest/pytest_all_tests.sh
```

View File

@ -2,7 +2,6 @@ import logging
import time
from configs import dify_config
from contexts.wrapper import RecyclableContextVar
from dify_app import DifyApp
@ -17,12 +16,6 @@ def create_flask_app_with_configs() -> DifyApp:
dify_app = DifyApp(__name__)
dify_app.config.from_mapping(dify_config.model_dump())
# add before request hook
@dify_app.before_request
def before_request():
# add an unique identifier to each request
RecyclableContextVar.increment_thread_recycles()
return dify_app

View File

@ -25,8 +25,6 @@ from models.dataset import Document as DatasetDocument
from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
from models.provider import Provider, ProviderModel
from services.account_service import RegisterService, TenantService
from services.plugin.data_migration import PluginDataMigration
from services.plugin.plugin_migration import PluginMigration
@click.command("reset-password", help="Reset the account password.")
@ -526,7 +524,7 @@ def add_qdrant_doc_id_index(field: str):
)
)
except Exception:
except Exception as e:
click.echo(click.style("Failed to create Qdrant client.", fg="red"))
click.echo(click.style(f"Index creation complete. Created {create_count} collection indexes.", fg="green"))
@ -595,7 +593,7 @@ def upgrade_db():
click.echo(click.style("Database migration successful!", fg="green"))
except Exception:
except Exception as e:
logging.exception("Failed to execute database migration")
finally:
lock.release()
@ -641,7 +639,7 @@ where sites.id is null limit 1000"""
account = accounts[0]
print("Fixing missing site for app {}".format(app.id))
app_was_created.send(app, account=account)
except Exception:
except Exception as e:
failed_app_ids.append(app_id)
click.echo(click.style("Failed to fix missing site for app {}".format(app_id), fg="red"))
logging.exception(f"Failed to fix app related site missing issue, app_id: {app_id}")
@ -651,69 +649,3 @@ where sites.id is null limit 1000"""
break
click.echo(click.style("Fix for missing app-related sites completed successfully!", fg="green"))
@click.command("migrate-data-for-plugin", help="Migrate data for plugin.")
def migrate_data_for_plugin():
"""
Migrate data for plugin.
"""
click.echo(click.style("Starting migrate data for plugin.", fg="white"))
PluginDataMigration.migrate()
click.echo(click.style("Migrate data for plugin completed.", fg="green"))
@click.command("extract-plugins", help="Extract plugins.")
@click.option("--output_file", prompt=True, help="The file to store the extracted plugins.", default="plugins.jsonl")
@click.option("--workers", prompt=True, help="The number of workers to extract plugins.", default=10)
def extract_plugins(output_file: str, workers: int):
"""
Extract plugins.
"""
click.echo(click.style("Starting extract plugins.", fg="white"))
PluginMigration.extract_plugins(output_file, workers)
click.echo(click.style("Extract plugins completed.", fg="green"))
@click.command("extract-unique-identifiers", help="Extract unique identifiers.")
@click.option(
"--output_file",
prompt=True,
help="The file to store the extracted unique identifiers.",
default="unique_identifiers.json",
)
@click.option(
"--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
)
def extract_unique_plugins(output_file: str, input_file: str):
"""
Extract unique plugins.
"""
click.echo(click.style("Starting extract unique plugins.", fg="white"))
PluginMigration.extract_unique_plugins_to_file(input_file, output_file)
click.echo(click.style("Extract unique plugins completed.", fg="green"))
@click.command("install-plugins", help="Install plugins.")
@click.option(
"--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl"
)
@click.option(
"--output_file", prompt=True, help="The file to store the installed plugins.", default="installed_plugins.jsonl"
)
@click.option("--workers", prompt=True, help="The number of workers to install plugins.", default=100)
def install_plugins(input_file: str, output_file: str, workers: int):
"""
Install plugins.
"""
click.echo(click.style("Starting install plugins.", fg="white"))
PluginMigration.install_plugins(input_file, output_file, workers)
click.echo(click.style("Install plugins completed.", fg="green"))

View File

@ -134,60 +134,6 @@ class CodeExecutionSandboxConfig(BaseSettings):
)
class PluginConfig(BaseSettings):
"""
Plugin configs
"""
PLUGIN_DAEMON_URL: HttpUrl = Field(
description="Plugin API URL",
default="http://localhost:5002",
)
PLUGIN_DAEMON_KEY: str = Field(
description="Plugin API key",
default="plugin-api-key",
)
INNER_API_KEY_FOR_PLUGIN: str = Field(description="Inner api key for plugin", default="inner-api-key")
PLUGIN_REMOTE_INSTALL_HOST: str = Field(
description="Plugin Remote Install Host",
default="localhost",
)
PLUGIN_REMOTE_INSTALL_PORT: PositiveInt = Field(
description="Plugin Remote Install Port",
default=5003,
)
PLUGIN_MAX_PACKAGE_SIZE: PositiveInt = Field(
description="Maximum allowed size for plugin packages in bytes",
default=15728640,
)
PLUGIN_MAX_BUNDLE_SIZE: PositiveInt = Field(
description="Maximum allowed size for plugin bundles in bytes",
default=15728640 * 12,
)
class MarketplaceConfig(BaseSettings):
"""
Configuration for marketplace
"""
MARKETPLACE_ENABLED: bool = Field(
description="Enable or disable marketplace",
default=True,
)
MARKETPLACE_API_URL: HttpUrl = Field(
description="Marketplace API URL",
default="https://marketplace.dify.ai",
)
class EndpointConfig(BaseSettings):
"""
Configuration for various application endpoints and URLs
@ -200,7 +146,7 @@ class EndpointConfig(BaseSettings):
)
CONSOLE_WEB_URL: str = Field(
description="Base URL for the console web interface,used for frontend references and CORS configuration",
description="Base URL for the console web interface," "used for frontend references and CORS configuration",
default="",
)
@ -214,10 +160,6 @@ class EndpointConfig(BaseSettings):
default="",
)
ENDPOINT_URL_TEMPLATE: str = Field(
description="Template url for endpoint plugin", default="http://localhost:5002/e/{hook_id}"
)
class FileAccessConfig(BaseSettings):
"""
@ -373,8 +315,8 @@ class HttpConfig(BaseSettings):
)
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.",
description="Enable or disable the X-Forwarded-For Proxy Fix middleware from Werkzeug"
" to respect X-* headers to redirect clients",
default=False,
)
@ -389,6 +331,11 @@ class InnerAPIConfig(BaseSettings):
default=False,
)
INNER_API_KEY: Optional[str] = Field(
description="API key for accessing the internal API",
default=None,
)
class LoggingConfig(BaseSettings):
"""
@ -551,11 +498,6 @@ class AuthConfig(BaseSettings):
default=86400,
)
FORGOT_PASSWORD_LOCKOUT_DURATION: PositiveInt = Field(
description="Time (in seconds) a user must wait before retrying password reset after exceeding the rate limit.",
default=86400,
)
class ModerationConfig(BaseSettings):
"""
@ -846,8 +788,6 @@ class FeatureConfig(
AuthConfig, # Changed from OAuthConfig to AuthConfig
BillingConfig,
CodeExecutionSandboxConfig,
PluginConfig,
MarketplaceConfig,
DataSetConfig,
EndpointConfig,
FileAccessConfig,

View File

@ -1,40 +1,9 @@
from typing import Optional
from pydantic import Field, NonNegativeInt, computed_field
from pydantic import Field, NonNegativeInt
from pydantic_settings import BaseSettings
class HostedCreditConfig(BaseSettings):
HOSTED_MODEL_CREDIT_CONFIG: str = Field(
description="Model credit configuration in format 'model:credits,model:credits', e.g., 'gpt-4:20,gpt-4o:10'",
default="",
)
def get_model_credits(self, model_name: str) -> int:
"""
Get credit value for a specific model name.
Returns 1 if model is not found in configuration (default credit).
:param model_name: The name of the model to search for
:return: The credit value for the model
"""
if not self.HOSTED_MODEL_CREDIT_CONFIG:
return 1
try:
credit_map = dict(
item.strip().split(":", 1) for item in self.HOSTED_MODEL_CREDIT_CONFIG.split(",") if ":" in item
)
# Search for matching model pattern
for pattern, credit in credit_map.items():
if pattern.strip() == model_name:
return int(credit)
return 1 # Default quota if no match found
except (ValueError, AttributeError):
return 1 # Return default quota if parsing fails
class HostedOpenAiConfig(BaseSettings):
"""
Configuration for hosted OpenAI service
@ -212,7 +181,7 @@ class HostedFetchAppTemplateConfig(BaseSettings):
"""
HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field(
description="Mode for fetching app templates: remote, db, or builtin default to remote,",
description="Mode for fetching app templates: remote, db, or builtin" " default to remote,",
default="remote",
)
@ -233,7 +202,5 @@ class HostedServiceConfig(
HostedZhipuAIConfig,
# moderation
HostedModerationConfig,
# credit config
HostedCreditConfig,
):
pass

View File

@ -1,4 +1,3 @@
import os
from typing import Any, Literal, Optional
from urllib.parse import quote_plus
@ -167,11 +166,6 @@ class DatabaseConfig(BaseSettings):
default=False,
)
RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
description="Number of processes for the retrieval service, default to CPU cores.",
default=os.cpu_count(),
)
@computed_field
def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
return {

View File

@ -33,9 +33,3 @@ class MilvusConfig(BaseSettings):
description="Name of the Milvus database to connect to (default is 'default')",
default="default",
)
MILVUS_ENABLE_HYBRID_SEARCH: bool = Field(
description="Enable hybrid search features (requires Milvus >= 2.5.0). Set to false for compatibility with "
"older versions",
default=True,
)

View File

@ -1,6 +1,6 @@
from typing import Optional
from pydantic import Field
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
@ -9,6 +9,16 @@ class OracleConfig(BaseSettings):
Configuration settings for Oracle database
"""
ORACLE_HOST: Optional[str] = Field(
description="Hostname or IP address of the Oracle database server (e.g., 'localhost' or 'oracle.example.com')",
default=None,
)
ORACLE_PORT: PositiveInt = Field(
description="Port number on which the Oracle database server is listening (default is 1521)",
default=1521,
)
ORACLE_USER: Optional[str] = Field(
description="Username for authenticating with the Oracle database",
default=None,
@ -19,28 +29,7 @@ class OracleConfig(BaseSettings):
default=None,
)
ORACLE_DSN: Optional[str] = Field(
description="Oracle database connection string. For traditional database, use format 'host:port/service_name'. "
"For autonomous database, use the service name from tnsnames.ora in the wallet",
ORACLE_DATABASE: Optional[str] = Field(
description="Name of the Oracle database or service to connect to (e.g., 'ORCL' or 'pdborcl')",
default=None,
)
ORACLE_CONFIG_DIR: Optional[str] = Field(
description="Directory containing the tnsnames.ora configuration file. Only used in thin mode connection",
default=None,
)
ORACLE_WALLET_LOCATION: Optional[str] = Field(
description="Oracle wallet directory path containing the wallet files for secure connection",
default=None,
)
ORACLE_WALLET_PASSWORD: Optional[str] = Field(
description="Password to decrypt the Oracle wallet, if it is encrypted",
default=None,
)
ORACLE_IS_AUTONOMOUS: bool = Field(
description="Flag indicating whether connecting to Oracle Autonomous Database",
default=False,
)

View File

@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
CURRENT_VERSION: str = Field(
description="Dify version",
default="1.0.0",
default="0.14.2",
)
COMMIT_SHA: str = Field(

View File

@ -15,7 +15,7 @@ AUDIO_EXTENSIONS.extend([ext.upper() for ext in AUDIO_EXTENSIONS])
if dify_config.ETL_TYPE == "Unstructured":
DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls"]
DOCUMENT_EXTENSIONS.extend(("doc", "docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
DOCUMENT_EXTENSIONS.extend(("docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
if dify_config.UNSTRUCTURED_API_URL:
DOCUMENT_EXTENSIONS.append("ppt")
DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])

View File

@ -1,39 +1,9 @@
from contextvars import ContextVar
from threading import Lock
from typing import TYPE_CHECKING
from contexts.wrapper import RecyclableContextVar
if TYPE_CHECKING:
from core.model_runtime.entities.model_entities import AIModelEntity
from core.plugin.entities.plugin_daemon import PluginModelProviderEntity
from core.tools.plugin_tool.provider import PluginToolProviderController
from core.workflow.entities.variable_pool import VariablePool
tenant_id: ContextVar[str] = ContextVar("tenant_id")
workflow_variable_pool: ContextVar["VariablePool"] = ContextVar("workflow_variable_pool")
"""
To avoid race-conditions caused by gunicorn thread recycling, using RecyclableContextVar to replace with
"""
plugin_tool_providers: RecyclableContextVar[dict[str, "PluginToolProviderController"]] = RecyclableContextVar(
ContextVar("plugin_tool_providers")
)
plugin_tool_providers_lock: RecyclableContextVar[Lock] = RecyclableContextVar(ContextVar("plugin_tool_providers_lock"))
plugin_model_providers: RecyclableContextVar[list["PluginModelProviderEntity"] | None] = RecyclableContextVar(
ContextVar("plugin_model_providers")
)
plugin_model_providers_lock: RecyclableContextVar[Lock] = RecyclableContextVar(
ContextVar("plugin_model_providers_lock")
)
plugin_model_schema_lock: RecyclableContextVar[Lock] = RecyclableContextVar(ContextVar("plugin_model_schema_lock"))
plugin_model_schemas: RecyclableContextVar[dict[str, "AIModelEntity"]] = RecyclableContextVar(
ContextVar("plugin_model_schemas")
)

View File

@ -1,65 +0,0 @@
from contextvars import ContextVar
from typing import Generic, TypeVar
T = TypeVar("T")
class HiddenValue:
pass
_default = HiddenValue()
class RecyclableContextVar(Generic[T]):
"""
RecyclableContextVar is a wrapper around ContextVar
It's safe to use in gunicorn with thread recycling, but features like `reset` are not available for now
NOTE: you need to call `increment_thread_recycles` before requests
"""
_thread_recycles: ContextVar[int] = ContextVar("thread_recycles")
@classmethod
def increment_thread_recycles(cls):
try:
recycles = cls._thread_recycles.get()
cls._thread_recycles.set(recycles + 1)
except LookupError:
cls._thread_recycles.set(0)
def __init__(self, context_var: ContextVar[T]):
self._context_var = context_var
self._updates = ContextVar[int](context_var.name + "_updates", default=0)
def get(self, default: T | HiddenValue = _default) -> T:
thread_recycles = self._thread_recycles.get(0)
self_updates = self._updates.get()
if thread_recycles > self_updates:
self._updates.set(thread_recycles)
# check if thread is recycled and should be updated
if thread_recycles < self_updates:
return self._context_var.get()
else:
# thread_recycles >= self_updates, means current context is invalid
if isinstance(default, HiddenValue) or default is _default:
raise LookupError
else:
return default
def set(self, value: T):
# it leads to a situation that self.updates is less than cls.thread_recycles if `set` was never called before
# increase it manually
thread_recycles = self._thread_recycles.get(0)
self_updates = self._updates.get()
if thread_recycles > self_updates:
self._updates.set(thread_recycles)
if self._updates.get() == self._thread_recycles.get(0):
# after increment,
self._updates.set(self._updates.get() + 1)
# set the context
self._context_var.set(value)

View File

@ -1,32 +1,12 @@
import mimetypes
import os
import platform
import re
import urllib.parse
import warnings
from collections.abc import Mapping
from typing import Any
from uuid import uuid4
import httpx
try:
import magic
except ImportError:
if platform.system() == "Windows":
warnings.warn(
"To use python-magic guess MIMETYPE, you need to run `pip install python-magic-bin`", stacklevel=2
)
elif platform.system() == "Darwin":
warnings.warn("To use python-magic guess MIMETYPE, you need to run `brew install libmagic`", stacklevel=2)
elif platform.system() == "Linux":
warnings.warn(
"To use python-magic guess MIMETYPE, you need to run `sudo apt-get install libmagic1`", stacklevel=2
)
else:
warnings.warn("To use python-magic guess MIMETYPE, you need to install `libmagic`", stacklevel=2)
magic = None # type: ignore
from pydantic import BaseModel
from configs import dify_config
@ -67,13 +47,6 @@ def guess_file_info_from_response(response: httpx.Response):
# If guessing fails, use Content-Type from response headers
mimetype = response.headers.get("Content-Type", "application/octet-stream")
# Use python-magic to guess MIME type if still unknown or generic
if mimetype == "application/octet-stream" and magic is not None:
try:
mimetype = magic.from_buffer(response.content[:1024], mime=True)
except magic.MagicException:
pass
extension = os.path.splitext(filename)[1]
# Ensure filename has an extension

View File

@ -2,7 +2,7 @@ from flask import Blueprint
from libs.external_api import ExternalApi
from .app.app_import import AppImportApi, AppImportCheckDependenciesApi, AppImportConfirmApi
from .app.app_import import AppImportApi, AppImportConfirmApi
from .explore.audio import ChatAudioApi, ChatTextApi
from .explore.completion import ChatApi, ChatStopApi, CompletionApi, CompletionStopApi
from .explore.conversation import (
@ -40,7 +40,6 @@ api.add_resource(RemoteFileUploadApi, "/remote-files/upload")
# Import App
api.add_resource(AppImportApi, "/apps/imports")
api.add_resource(AppImportConfirmApi, "/apps/imports/<string:import_id>/confirm")
api.add_resource(AppImportCheckDependenciesApi, "/apps/imports/<string:app_id>/check-dependencies")
# Import other controllers
from . import admin, apikey, extension, feature, ping, setup, version
@ -167,15 +166,4 @@ api.add_resource(
from .tag import tags
# Import workspace controllers
from .workspace import (
account,
agent_providers,
endpoint,
load_balancing_config,
members,
model_providers,
models,
plugin,
tool_providers,
workspace,
)
from .workspace import account, load_balancing_config, members, model_providers, models, tool_providers, workspace

View File

@ -2,8 +2,6 @@ from functools import wraps
from flask import request
from flask_restful import Resource, reqparse # type: ignore
from sqlalchemy import select
from sqlalchemy.orm import Session
from werkzeug.exceptions import NotFound, Unauthorized
from configs import dify_config
@ -56,10 +54,9 @@ class InsertExploreAppListApi(Resource):
parser.add_argument("position", type=int, required=True, nullable=False, location="json")
args = parser.parse_args()
with Session(db.engine) as session:
app = session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none()
app = App.query.filter(App.id == args["app_id"]).first()
if not app:
raise NotFound(f"App '{args['app_id']}' is not found")
raise NotFound(f'App \'{args["app_id"]}\' is not found')
site = app.site
if not site:
@ -73,10 +70,7 @@ class InsertExploreAppListApi(Resource):
privacy_policy = site.privacy_policy or args["privacy_policy"] or ""
custom_disclaimer = site.custom_disclaimer or args["custom_disclaimer"] or ""
with Session(db.engine) as session:
recommended_app = session.execute(
select(RecommendedApp).filter(RecommendedApp.app_id == args["app_id"])
).scalar_one_or_none()
recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args["app_id"]).first()
if not recommended_app:
recommended_app = RecommendedApp(
@ -116,27 +110,17 @@ class InsertExploreAppApi(Resource):
@only_edition_cloud
@admin_required
def delete(self, app_id):
with Session(db.engine) as session:
recommended_app = session.execute(
select(RecommendedApp).filter(RecommendedApp.app_id == str(app_id))
).scalar_one_or_none()
recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == str(app_id)).first()
if not recommended_app:
return {"result": "success"}, 204
with Session(db.engine) as session:
app = session.execute(select(App).filter(App.id == recommended_app.app_id)).scalar_one_or_none()
app = App.query.filter(App.id == recommended_app.app_id).first()
if app:
app.is_public = False
with Session(db.engine) as session:
installed_apps = session.execute(
select(InstalledApp).filter(
InstalledApp.app_id == recommended_app.app_id,
InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id,
)
).all()
installed_apps = InstalledApp.query.filter(
InstalledApp.app_id == recommended_app.app_id, InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id
).all()
for installed_app in installed_apps:
db.session.delete(installed_app)

View File

@ -3,8 +3,6 @@ from typing import Any
import flask_restful # type: ignore
from flask_login import current_user # type: ignore
from flask_restful import Resource, fields, marshal_with
from sqlalchemy import select
from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden
from extensions.ext_database import db
@ -28,16 +26,7 @@ api_key_list = {"data": fields.List(fields.Nested(api_key_fields), attribute="it
def _get_resource(resource_id, tenant_id, resource_model):
if resource_model == App:
with Session(db.engine) as session:
resource = session.execute(
select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id)
).scalar_one_or_none()
else:
with Session(db.engine) as session:
resource = session.execute(
select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id)
).scalar_one_or_none()
resource = resource_model.query.filter_by(id=resource_id, tenant_id=tenant_id).first()
if resource is None:
flask_restful.abort(404, message=f"{resource_model.__name__} not found.")

View File

@ -5,16 +5,14 @@ from flask_restful import Resource, marshal_with, reqparse # type: ignore
from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden
from controllers.console.app.wraps import get_app_model
from controllers.console.wraps import (
account_initialization_required,
setup_required,
)
from extensions.ext_database import db
from fields.app_fields import app_import_check_dependencies_fields, app_import_fields
from fields.app_fields import app_import_fields
from libs.login import login_required
from models import Account
from models.model import App
from services.app_dsl_service import AppDslService, ImportStatus
@ -90,20 +88,3 @@ class AppImportConfirmApi(Resource):
if result.status == ImportStatus.FAILED.value:
return result.model_dump(mode="json"), 400
return result.model_dump(mode="json"), 200
class AppImportCheckDependenciesApi(Resource):
@setup_required
@login_required
@get_app_model
@account_initialization_required
@marshal_with(app_import_check_dependencies_fields)
def get(self, app_model: App):
if not current_user.is_editor:
raise Forbidden()
with Session(db.engine) as session:
import_service = AppDslService(session)
result = import_service.check_dependencies(app_model=app_model)
return result.model_dump(mode="json"), 200

View File

@ -22,7 +22,7 @@ from controllers.console.wraps import account_initialization_required, setup_req
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from libs.login import login_required
from models import App, AppMode
from models.model import AppMode
from services.audio_service import AudioService
from services.errors.audio import (
AudioTooLargeServiceError,
@ -79,7 +79,7 @@ class ChatMessageTextApi(Resource):
@login_required
@account_initialization_required
@get_app_model
def post(self, app_model: App):
def post(self, app_model):
from werkzeug.exceptions import InternalServerError
try:
@ -98,13 +98,9 @@ class ChatMessageTextApi(Resource):
and app_model.workflow.features_dict
):
text_to_speech = app_model.workflow.features_dict.get("text_to_speech")
if text_to_speech is None:
raise ValueError("TTS is not enabled")
voice = args.get("voice") or text_to_speech.get("voice")
else:
try:
if app_model.app_model_config is None:
raise ValueError("AppModelConfig not found")
voice = args.get("voice") or app_model.app_model_config.text_to_speech_dict.get("voice")
except Exception:
voice = None

View File

@ -50,9 +50,7 @@ class AppSite(Resource):
if not current_user.is_editor:
raise Forbidden()
site = db.session.query(Site).filter(Site.app_id == app_model.id).first()
if not site:
raise NotFound
site = Site.query.filter(Site.app_id == app_model.id).one_or_404()
for attr_name in [
"title",

View File

@ -20,7 +20,6 @@ from libs import helper
from libs.helper import TimestampField, uuid_value
from libs.login import current_user, login_required
from models import App
from models.account import Account
from models.model import AppMode
from services.app_generate_service import AppGenerateService
from services.errors.app import WorkflowHashNotEqualError
@ -97,9 +96,6 @@ class DraftWorkflowApi(Resource):
else:
abort(415)
if not isinstance(current_user, Account):
raise Forbidden()
workflow_service = WorkflowService()
try:
@ -143,9 +139,6 @@ class AdvancedChatDraftWorkflowRunApi(Resource):
if not current_user.is_editor:
raise Forbidden()
if not isinstance(current_user, Account):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("inputs", type=dict, location="json")
parser.add_argument("query", type=str, required=True, location="json", default="")
@ -167,7 +160,7 @@ class AdvancedChatDraftWorkflowRunApi(Resource):
raise ConversationCompletedError()
except ValueError as e:
raise e
except Exception:
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
@ -185,9 +178,6 @@ class AdvancedChatDraftRunIterationNodeApi(Resource):
if not current_user.is_editor:
raise Forbidden()
if not isinstance(current_user, Account):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("inputs", type=dict, location="json")
args = parser.parse_args()
@ -204,7 +194,7 @@ class AdvancedChatDraftRunIterationNodeApi(Resource):
raise ConversationCompletedError()
except ValueError as e:
raise e
except Exception:
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
@ -222,9 +212,6 @@ class WorkflowDraftRunIterationNodeApi(Resource):
if not current_user.is_editor:
raise Forbidden()
if not isinstance(current_user, Account):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("inputs", type=dict, location="json")
args = parser.parse_args()
@ -241,7 +228,7 @@ class WorkflowDraftRunIterationNodeApi(Resource):
raise ConversationCompletedError()
except ValueError as e:
raise e
except Exception:
except Exception as e:
logging.exception("internal server error.")
raise InternalServerError()
@ -259,9 +246,6 @@ class DraftWorkflowRunApi(Resource):
if not current_user.is_editor:
raise Forbidden()
if not isinstance(current_user, Account):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json")
parser.add_argument("files", type=list, required=False, location="json")
@ -310,20 +294,13 @@ class DraftWorkflowNodeRunApi(Resource):
if not current_user.is_editor:
raise Forbidden()
if not isinstance(current_user, Account):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json")
args = parser.parse_args()
inputs = args.get("inputs")
if inputs == None:
raise ValueError("missing inputs")
workflow_service = WorkflowService()
workflow_node_execution = workflow_service.run_draft_workflow_node(
app_model=app_model, node_id=node_id, user_inputs=inputs, account=current_user
app_model=app_model, node_id=node_id, user_inputs=args.get("inputs"), account=current_user
)
return workflow_node_execution
@ -362,9 +339,6 @@ class PublishedWorkflowApi(Resource):
if not current_user.is_editor:
raise Forbidden()
if not isinstance(current_user, Account):
raise Forbidden()
workflow_service = WorkflowService()
workflow = workflow_service.publish_workflow(app_model=app_model, account=current_user)
@ -402,17 +376,12 @@ class DefaultBlockConfigApi(Resource):
if not current_user.is_editor:
raise Forbidden()
if not isinstance(current_user, Account):
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("q", type=str, location="args")
args = parser.parse_args()
q = args.get("q")
filters = None
if q:
if args.get("q"):
try:
filters = json.loads(args.get("q", ""))
except json.JSONDecodeError:
@ -438,9 +407,6 @@ class ConvertToWorkflowApi(Resource):
if not current_user.is_editor:
raise Forbidden()
if not isinstance(current_user, Account):
raise Forbidden()
if request.data:
parser = reqparse.RequestParser()
parser.add_argument("name", type=str, required=False, nullable=True, location="json")

View File

@ -59,9 +59,3 @@ class EmailCodeAccountDeletionRateLimitExceededError(BaseHTTPException):
error_code = "email_code_account_deletion_rate_limit_exceeded"
description = "Too many account deletion emails have been sent. Please try again in 5 minutes."
code = 429
class EmailPasswordResetLimitError(BaseHTTPException):
error_code = "email_password_reset_limit"
description = "Too many failed password reset attempts. Please try again in 24 hours."
code = 429

View File

@ -3,18 +3,10 @@ import secrets
from flask import request
from flask_restful import Resource, reqparse # type: ignore
from sqlalchemy import select
from sqlalchemy.orm import Session
from constants.languages import languages
from controllers.console import api
from controllers.console.auth.error import (
EmailCodeError,
EmailPasswordResetLimitError,
InvalidEmailError,
InvalidTokenError,
PasswordMismatchError,
)
from controllers.console.auth.error import EmailCodeError, InvalidEmailError, InvalidTokenError, PasswordMismatchError
from controllers.console.error import AccountInFreezeError, AccountNotFound, EmailSendIpLimitError
from controllers.console.wraps import setup_required
from events.tenant_event import tenant_was_created
@ -45,8 +37,7 @@ class ForgotPasswordSendEmailApi(Resource):
else:
language = "en-US"
with Session(db.engine) as session:
account = session.execute(select(Account).filter_by(email=args["email"])).scalar_one_or_none()
account = Account.query.filter_by(email=args["email"]).first()
token = None
if account is None:
if FeatureService.get_system_features().is_allow_register:
@ -71,10 +62,6 @@ class ForgotPasswordCheckApi(Resource):
user_email = args["email"]
is_forgot_password_error_rate_limit = AccountService.is_forgot_password_error_rate_limit(args["email"])
if is_forgot_password_error_rate_limit:
raise EmailPasswordResetLimitError()
token_data = AccountService.get_reset_password_data(args["token"])
if token_data is None:
raise InvalidTokenError()
@ -83,10 +70,8 @@ class ForgotPasswordCheckApi(Resource):
raise InvalidEmailError()
if args["code"] != token_data.get("code"):
AccountService.add_forgot_password_error_rate_limit(args["email"])
raise EmailCodeError()
AccountService.reset_forgot_password_error_rate_limit(args["email"])
return {"is_valid": True, "email": token_data.get("email")}
@ -119,8 +104,7 @@ class ForgotPasswordResetApi(Resource):
password_hashed = hash_password(new_password, salt)
base64_password_hashed = base64.b64encode(password_hashed).decode()
with Session(db.engine) as session:
account = session.execute(select(Account).filter_by(email=reset_data.get("email"))).scalar_one_or_none()
account = Account.query.filter_by(email=reset_data.get("email")).first()
if account:
account.password = base64_password_hashed
account.password_salt = base64_salt
@ -141,7 +125,7 @@ class ForgotPasswordResetApi(Resource):
)
except WorkSpaceNotAllowedCreateError:
pass
except AccountRegisterError:
except AccountRegisterError as are:
raise AccountInFreezeError()
return {"result": "success"}

View File

@ -5,8 +5,6 @@ from typing import Optional
import requests
from flask import current_app, redirect, request
from flask_restful import Resource # type: ignore
from sqlalchemy import select
from sqlalchemy.orm import Session
from werkzeug.exceptions import Unauthorized
from configs import dify_config
@ -137,8 +135,7 @@ def _get_account_by_openid_or_email(provider: str, user_info: OAuthUserInfo) ->
account: Optional[Account] = Account.get_by_openid(provider, user_info.id)
if not account:
with Session(db.engine) as session:
account = session.execute(select(Account).filter_by(email=user_info.email)).scalar_one_or_none()
account = Account.query.filter_by(email=user_info.email).first()
return account

View File

@ -4,8 +4,6 @@ import json
from flask import request
from flask_login import current_user # type: ignore
from flask_restful import Resource, marshal_with, reqparse # type: ignore
from sqlalchemy import select
from sqlalchemy.orm import Session
from werkzeug.exceptions import NotFound
from controllers.console import api
@ -78,10 +76,7 @@ class DataSourceApi(Resource):
def patch(self, binding_id, action):
binding_id = str(binding_id)
action = str(action)
with Session(db.engine) as session:
data_source_binding = session.execute(
select(DataSourceOauthBinding).filter_by(id=binding_id)
).scalar_one_or_none()
data_source_binding = DataSourceOauthBinding.query.filter_by(id=binding_id).first()
if data_source_binding is None:
raise NotFound("Data source binding not found.")
# enable binding
@ -113,53 +108,47 @@ class DataSourceNotionListApi(Resource):
def get(self):
dataset_id = request.args.get("dataset_id", default=None, type=str)
exist_page_ids = []
with Session(db.engine) as session:
# import notion in the exist dataset
if dataset_id:
dataset = DatasetService.get_dataset(dataset_id)
if not dataset:
raise NotFound("Dataset not found.")
if dataset.data_source_type != "notion_import":
raise ValueError("Dataset is not notion type.")
documents = session.execute(
select(Document).filter_by(
dataset_id=dataset_id,
tenant_id=current_user.current_tenant_id,
data_source_type="notion_import",
enabled=True,
)
).all()
if documents:
for document in documents:
data_source_info = json.loads(document.data_source_info)
exist_page_ids.append(data_source_info["notion_page_id"])
# get all authorized pages
data_source_bindings = session.scalars(
select(DataSourceOauthBinding).filter_by(
tenant_id=current_user.current_tenant_id, provider="notion", disabled=False
)
# import notion in the exist dataset
if dataset_id:
dataset = DatasetService.get_dataset(dataset_id)
if not dataset:
raise NotFound("Dataset not found.")
if dataset.data_source_type != "notion_import":
raise ValueError("Dataset is not notion type.")
documents = Document.query.filter_by(
dataset_id=dataset_id,
tenant_id=current_user.current_tenant_id,
data_source_type="notion_import",
enabled=True,
).all()
if not data_source_bindings:
return {"notion_info": []}, 200
pre_import_info_list = []
for data_source_binding in data_source_bindings:
source_info = data_source_binding.source_info
pages = source_info["pages"]
# Filter out already bound pages
for page in pages:
if page["page_id"] in exist_page_ids:
page["is_bound"] = True
else:
page["is_bound"] = False
pre_import_info = {
"workspace_name": source_info["workspace_name"],
"workspace_icon": source_info["workspace_icon"],
"workspace_id": source_info["workspace_id"],
"pages": pages,
}
pre_import_info_list.append(pre_import_info)
return {"notion_info": pre_import_info_list}, 200
if documents:
for document in documents:
data_source_info = json.loads(document.data_source_info)
exist_page_ids.append(data_source_info["notion_page_id"])
# get all authorized pages
data_source_bindings = DataSourceOauthBinding.query.filter_by(
tenant_id=current_user.current_tenant_id, provider="notion", disabled=False
).all()
if not data_source_bindings:
return {"notion_info": []}, 200
pre_import_info_list = []
for data_source_binding in data_source_bindings:
source_info = data_source_binding.source_info
pages = source_info["pages"]
# Filter out already bound pages
for page in pages:
if page["page_id"] in exist_page_ids:
page["is_bound"] = True
else:
page["is_bound"] = False
pre_import_info = {
"workspace_name": source_info["workspace_name"],
"workspace_icon": source_info["workspace_icon"],
"workspace_id": source_info["workspace_id"],
"pages": pages,
}
pre_import_info_list.append(pre_import_info)
return {"notion_info": pre_import_info_list}, 200
class DataSourceNotionApi(Resource):
@ -169,17 +158,14 @@ class DataSourceNotionApi(Resource):
def get(self, workspace_id, page_id, page_type):
workspace_id = str(workspace_id)
page_id = str(page_id)
with Session(db.engine) as session:
data_source_binding = session.execute(
select(DataSourceOauthBinding).filter(
db.and_(
DataSourceOauthBinding.tenant_id == current_user.current_tenant_id,
DataSourceOauthBinding.provider == "notion",
DataSourceOauthBinding.disabled == False,
DataSourceOauthBinding.source_info["workspace_id"] == f'"{workspace_id}"',
)
)
).scalar_one_or_none()
data_source_binding = DataSourceOauthBinding.query.filter(
db.and_(
DataSourceOauthBinding.tenant_id == current_user.current_tenant_id,
DataSourceOauthBinding.provider == "notion",
DataSourceOauthBinding.disabled == False,
DataSourceOauthBinding.source_info["workspace_id"] == f'"{workspace_id}"',
)
).first()
if not data_source_binding:
raise NotFound("Data source binding not found.")

View File

@ -14,7 +14,6 @@ from controllers.console.wraps import account_initialization_required, enterpris
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.indexing_runner import IndexingRunner
from core.model_runtime.entities.model_entities import ModelType
from core.plugin.entities.plugin import ModelProviderID
from core.provider_manager import ProviderManager
from core.rag.datasource.vdb.vector_type import VectorType
from core.rag.extractor.entity.extract_setting import ExtractSetting
@ -53,12 +52,12 @@ class DatasetListApi(Resource):
# provider = request.args.get("provider", default="vendor")
search = request.args.get("keyword", default=None, type=str)
tag_ids = request.args.getlist("tag_ids")
include_all = request.args.get("include_all", default="false").lower() == "true"
if ids:
datasets, total = DatasetService.get_datasets_by_ids(ids, current_user.current_tenant_id)
else:
datasets, total = DatasetService.get_datasets(
page, limit, current_user.current_tenant_id, current_user, search, tag_ids, include_all
page, limit, current_user.current_tenant_id, current_user, search, tag_ids
)
# check embedding setting
@ -73,9 +72,7 @@ class DatasetListApi(Resource):
data = marshal(datasets, dataset_detail_fields)
for item in data:
# convert embedding_model_provider to plugin standard format
if item["indexing_technique"] == "high_quality":
item["embedding_model_provider"] = str(ModelProviderID(item["embedding_model_provider"]))
item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}"
if item_model in model_names:
item["embedding_available"] = True
@ -460,7 +457,7 @@ class DatasetIndexingEstimateApi(Resource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider " "in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@ -622,7 +619,9 @@ class DatasetRetrievalSettingApi(Resource):
vector_type = dify_config.VECTOR_STORE
match vector_type:
case (
VectorType.RELYT
VectorType.MILVUS
| VectorType.RELYT
| VectorType.PGVECTOR
| VectorType.TIDB_VECTOR
| VectorType.CHROMA
| VectorType.TENCENT
@ -641,12 +640,10 @@ class DatasetRetrievalSettingApi(Resource):
| VectorType.MYSCALE
| VectorType.ORACLE
| VectorType.ELASTICSEARCH
| VectorType.ELASTICSEARCH_JA
| VectorType.PGVECTOR
| VectorType.TIDB_ON_QDRANT
| VectorType.LINDORM
| VectorType.COUCHBASE
| VectorType.MILVUS
):
return {
"retrieval_method": [
@ -686,7 +683,6 @@ class DatasetRetrievalSettingMockApi(Resource):
| VectorType.MYSCALE
| VectorType.ORACLE
| VectorType.ELASTICSEARCH
| VectorType.ELASTICSEARCH_JA
| VectorType.COUCHBASE
| VectorType.PGVECTOR
| VectorType.LINDORM

View File

@ -7,6 +7,7 @@ from flask import request
from flask_login import current_user # type: ignore
from flask_restful import Resource, fields, marshal, marshal_with, reqparse # type: ignore
from sqlalchemy import asc, desc
from transformers.hf_argparser import string_to_bool # type: ignore
from werkzeug.exceptions import Forbidden, NotFound
import services
@ -39,7 +40,6 @@ from core.indexing_runner import IndexingRunner
from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.plugin.manager.exc import PluginDaemonClientSideError
from core.rag.extractor.entity.extract_setting import ExtractSetting
from extensions.ext_database import db
from extensions.ext_redis import redis_client
@ -150,20 +150,8 @@ class DatasetDocumentListApi(Resource):
sort = request.args.get("sort", default="-created_at", type=str)
# "yes", "true", "t", "y", "1" convert to True, while others convert to False.
try:
fetch_val = request.args.get("fetch", default="false")
if isinstance(fetch_val, bool):
fetch = fetch_val
else:
if fetch_val.lower() in ("yes", "true", "t", "y", "1"):
fetch = True
elif fetch_val.lower() in ("no", "false", "f", "n", "0"):
fetch = False
else:
raise ArgumentTypeError(
f"Truthy value expected: got {fetch_val} but expected one of yes/no, true/false, t/f, y/n, 1/0 "
f"(case insensitive)."
)
except (ArgumentTypeError, ValueError, Exception):
fetch = string_to_bool(request.args.get("fetch", default="false"))
except (ArgumentTypeError, ValueError, Exception) as e:
fetch = False
dataset = DatasetService.get_dataset(dataset_id)
if not dataset:
@ -269,8 +257,7 @@ class DatasetDocumentListApi(Resource):
parser.add_argument("original_document_id", type=str, required=False, location="json")
parser.add_argument("doc_form", type=str, default="text_model", required=False, nullable=False, location="json")
parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
parser.add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
parser.add_argument(
"doc_language", type=str, default="English", required=False, nullable=False, location="json"
)
@ -362,7 +349,8 @@ class DatasetInitApi(Resource):
)
except InvokeAuthorizationError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@ -441,8 +429,6 @@ class DocumentIndexingEstimateApi(DocumentResource):
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except PluginDaemonClientSideError as ex:
raise ProviderNotInitializeError(ex.description)
except Exception as e:
raise IndexingEstimateError(str(e))
@ -539,12 +525,11 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
return response.model_dump(), 200
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except PluginDaemonClientSideError as ex:
raise ProviderNotInitializeError(ex.description)
except Exception as e:
raise IndexingEstimateError(str(e))

View File

@ -168,7 +168,8 @@ class DatasetDocumentSegmentApi(Resource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@ -216,7 +217,8 @@ class DatasetDocumentSegmentAddApi(Resource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@ -265,7 +267,8 @@ class DatasetDocumentSegmentUpdateApi(Resource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@ -365,9 +368,9 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
result = []
for index, row in df.iterrows():
if document.doc_form == "qa_model":
data = {"content": row.iloc[0], "answer": row.iloc[1]}
data = {"content": row[0], "answer": row[1]}
else:
data = {"content": row.iloc[0]}
data = {"content": row[0]}
result.append(data)
if len(result) == 0:
raise ValueError("The CSV file is empty.")
@ -434,7 +437,8 @@ class ChildChunkAddApi(Resource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)

View File

@ -32,7 +32,7 @@ class ConversationListApi(InstalledAppResource):
pinned = None
if "pinned" in args and args["pinned"] is not None:
pinned = args["pinned"] == "true"
pinned = True if args["pinned"] == "true" else False
try:
with Session(db.engine) as session:

View File

@ -50,7 +50,7 @@ class MessageListApi(InstalledAppResource):
try:
return MessageService.pagination_by_first_id(
app_model, current_user, args["conversation_id"], args["first_id"], args["limit"]
app_model, current_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")

View File

@ -2,11 +2,8 @@ import os
from flask import session
from flask_restful import Resource, reqparse # type: ignore
from sqlalchemy import select
from sqlalchemy.orm import Session
from configs import dify_config
from extensions.ext_database import db
from libs.helper import StrLen
from models.model import DifySetup
from services.account_service import TenantService
@ -45,11 +42,7 @@ class InitValidateAPI(Resource):
def get_init_validate_status():
if dify_config.EDITION == "SELF_HOSTED":
if os.environ.get("INIT_PASSWORD"):
if session.get("is_init_validated"):
return True
with Session(db.engine) as db_session:
return db_session.execute(select(DifySetup)).scalar_one_or_none()
return session.get("is_init_validated") or DifySetup.query.first()
return True

View File

@ -4,7 +4,7 @@ from flask_restful import Resource, reqparse # type: ignore
from configs import dify_config
from libs.helper import StrLen, email, extract_remote_ip
from libs.password import valid_password
from models.model import DifySetup, db
from models.model import DifySetup
from services.account_service import RegisterService, TenantService
from . import api
@ -52,9 +52,8 @@ class SetupApi(Resource):
def get_setup_status():
if dify_config.EDITION == "SELF_HOSTED":
return db.session.query(DifySetup).first()
else:
return True
return DifySetup.query.first()
return True
api.add_resource(SetupApi, "/setup")

View File

@ -1,56 +0,0 @@
from functools import wraps
from flask_login import current_user # type: ignore
from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden
from extensions.ext_database import db
from models.account import TenantPluginPermission
def plugin_permission_required(
install_required: bool = False,
debug_required: bool = False,
):
def interceptor(view):
@wraps(view)
def decorated(*args, **kwargs):
user = current_user
tenant_id = user.current_tenant_id
with Session(db.engine) as session:
permission = (
session.query(TenantPluginPermission)
.filter(
TenantPluginPermission.tenant_id == tenant_id,
)
.first()
)
if not permission:
# no permission set, allow access for everyone
return view(*args, **kwargs)
if install_required:
if permission.install_permission == TenantPluginPermission.InstallPermission.NOBODY:
raise Forbidden()
if permission.install_permission == TenantPluginPermission.InstallPermission.ADMINS:
if not user.is_admin_or_owner:
raise Forbidden()
if permission.install_permission == TenantPluginPermission.InstallPermission.EVERYONE:
pass
if debug_required:
if permission.debug_permission == TenantPluginPermission.DebugPermission.NOBODY:
raise Forbidden()
if permission.debug_permission == TenantPluginPermission.DebugPermission.ADMINS:
if not user.is_admin_or_owner:
raise Forbidden()
if permission.debug_permission == TenantPluginPermission.DebugPermission.EVERYONE:
pass
return view(*args, **kwargs)
return decorated
return interceptor

View File

@ -1,36 +0,0 @@
from flask_login import current_user # type: ignore
from flask_restful import Resource # type: ignore
from controllers.console import api
from controllers.console.wraps import account_initialization_required, setup_required
from core.model_runtime.utils.encoders import jsonable_encoder
from libs.login import login_required
from services.agent_service import AgentService
class AgentProviderListApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
return jsonable_encoder(AgentService.list_agent_providers(user_id, tenant_id))
class AgentProviderApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, provider_name: str):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
return jsonable_encoder(AgentService.get_agent_provider(user_id, tenant_id, provider_name))
api.add_resource(AgentProviderListApi, "/workspaces/current/agent-providers")
api.add_resource(AgentProviderApi, "/workspaces/current/agent-provider/<path:provider_name>")

View File

@ -1,205 +0,0 @@
from flask_login import current_user # type: ignore
from flask_restful import Resource, reqparse # type: ignore
from werkzeug.exceptions import Forbidden
from controllers.console import api
from controllers.console.wraps import account_initialization_required, setup_required
from core.model_runtime.utils.encoders import jsonable_encoder
from libs.login import login_required
from services.plugin.endpoint_service import EndpointService
class EndpointCreateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
user = current_user
if not user.is_admin_or_owner:
raise Forbidden()
parser = reqparse.RequestParser()
parser.add_argument("plugin_unique_identifier", type=str, required=True)
parser.add_argument("settings", type=dict, required=True)
parser.add_argument("name", type=str, required=True)
args = parser.parse_args()
plugin_unique_identifier = args["plugin_unique_identifier"]
settings = args["settings"]
name = args["name"]
return {
"success": EndpointService.create_endpoint(
tenant_id=user.current_tenant_id,
user_id=user.id,
plugin_unique_identifier=plugin_unique_identifier,
name=name,
settings=settings,
)
}
class EndpointListApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user = current_user
parser = reqparse.RequestParser()
parser.add_argument("page", type=int, required=True, location="args")
parser.add_argument("page_size", type=int, required=True, location="args")
args = parser.parse_args()
page = args["page"]
page_size = args["page_size"]
return jsonable_encoder(
{
"endpoints": EndpointService.list_endpoints(
tenant_id=user.current_tenant_id,
user_id=user.id,
page=page,
page_size=page_size,
)
}
)
class EndpointListForSinglePluginApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user = current_user
parser = reqparse.RequestParser()
parser.add_argument("page", type=int, required=True, location="args")
parser.add_argument("page_size", type=int, required=True, location="args")
parser.add_argument("plugin_id", type=str, required=True, location="args")
args = parser.parse_args()
page = args["page"]
page_size = args["page_size"]
plugin_id = args["plugin_id"]
return jsonable_encoder(
{
"endpoints": EndpointService.list_endpoints_for_single_plugin(
tenant_id=user.current_tenant_id,
user_id=user.id,
plugin_id=plugin_id,
page=page,
page_size=page_size,
)
}
)
class EndpointDeleteApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
user = current_user
parser = reqparse.RequestParser()
parser.add_argument("endpoint_id", type=str, required=True)
args = parser.parse_args()
if not user.is_admin_or_owner:
raise Forbidden()
endpoint_id = args["endpoint_id"]
return {
"success": EndpointService.delete_endpoint(
tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id
)
}
class EndpointUpdateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
user = current_user
parser = reqparse.RequestParser()
parser.add_argument("endpoint_id", type=str, required=True)
parser.add_argument("settings", type=dict, required=True)
parser.add_argument("name", type=str, required=True)
args = parser.parse_args()
endpoint_id = args["endpoint_id"]
settings = args["settings"]
name = args["name"]
if not user.is_admin_or_owner:
raise Forbidden()
return {
"success": EndpointService.update_endpoint(
tenant_id=user.current_tenant_id,
user_id=user.id,
endpoint_id=endpoint_id,
name=name,
settings=settings,
)
}
class EndpointEnableApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
user = current_user
parser = reqparse.RequestParser()
parser.add_argument("endpoint_id", type=str, required=True)
args = parser.parse_args()
endpoint_id = args["endpoint_id"]
if not user.is_admin_or_owner:
raise Forbidden()
return {
"success": EndpointService.enable_endpoint(
tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id
)
}
class EndpointDisableApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
user = current_user
parser = reqparse.RequestParser()
parser.add_argument("endpoint_id", type=str, required=True)
args = parser.parse_args()
endpoint_id = args["endpoint_id"]
if not user.is_admin_or_owner:
raise Forbidden()
return {
"success": EndpointService.disable_endpoint(
tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id
)
}
api.add_resource(EndpointCreateApi, "/workspaces/current/endpoints/create")
api.add_resource(EndpointListApi, "/workspaces/current/endpoints/list")
api.add_resource(EndpointListForSinglePluginApi, "/workspaces/current/endpoints/list/plugin")
api.add_resource(EndpointDeleteApi, "/workspaces/current/endpoints/delete")
api.add_resource(EndpointUpdateApi, "/workspaces/current/endpoints/update")
api.add_resource(EndpointEnableApi, "/workspaces/current/endpoints/enable")
api.add_resource(EndpointDisableApi, "/workspaces/current/endpoints/disable")

View File

@ -112,10 +112,10 @@ class LoadBalancingConfigCredentialsValidateApi(Resource):
# Load Balancing Config
api.add_resource(
LoadBalancingCredentialsValidateApi,
"/workspaces/current/model-providers/<path:provider>/models/load-balancing-configs/credentials-validate",
"/workspaces/current/model-providers/<string:provider>/models/load-balancing-configs/credentials-validate",
)
api.add_resource(
LoadBalancingConfigCredentialsValidateApi,
"/workspaces/current/model-providers/<path:provider>/models/load-balancing-configs/<string:config_id>/credentials-validate",
"/workspaces/current/model-providers/<string:provider>/models/load-balancing-configs/<string:config_id>/credentials-validate",
)

View File

@ -79,7 +79,7 @@ class ModelProviderValidateApi(Resource):
response = {"result": "success" if result else "error"}
if not result:
response["error"] = error or "Unknown error"
response["error"] = error
return response
@ -125,10 +125,9 @@ class ModelProviderIconApi(Resource):
Get model provider icon
"""
def get(self, tenant_id: str, provider: str, icon_type: str, lang: str):
def get(self, provider: str, icon_type: str, lang: str):
model_provider_service = ModelProviderService()
icon, mimetype = model_provider_service.get_model_provider_icon(
tenant_id=tenant_id,
provider=provider,
icon_type=icon_type,
lang=lang,
@ -184,17 +183,53 @@ class ModelProviderPaymentCheckoutUrlApi(Resource):
return data
class ModelProviderFreeQuotaSubmitApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self, provider: str):
model_provider_service = ModelProviderService()
result = model_provider_service.free_quota_submit(tenant_id=current_user.current_tenant_id, provider=provider)
return result
class ModelProviderFreeQuotaQualificationVerifyApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, provider: str):
parser = reqparse.RequestParser()
parser.add_argument("token", type=str, required=False, nullable=True, location="args")
args = parser.parse_args()
model_provider_service = ModelProviderService()
result = model_provider_service.free_quota_qualification_verify(
tenant_id=current_user.current_tenant_id, provider=provider, token=args["token"]
)
return result
api.add_resource(ModelProviderListApi, "/workspaces/current/model-providers")
api.add_resource(ModelProviderCredentialApi, "/workspaces/current/model-providers/<path:provider>/credentials")
api.add_resource(ModelProviderValidateApi, "/workspaces/current/model-providers/<path:provider>/credentials/validate")
api.add_resource(ModelProviderApi, "/workspaces/current/model-providers/<path:provider>")
api.add_resource(ModelProviderCredentialApi, "/workspaces/current/model-providers/<string:provider>/credentials")
api.add_resource(ModelProviderValidateApi, "/workspaces/current/model-providers/<string:provider>/credentials/validate")
api.add_resource(ModelProviderApi, "/workspaces/current/model-providers/<string:provider>")
api.add_resource(
ModelProviderIconApi, "/workspaces/current/model-providers/<string:provider>/<string:icon_type>/<string:lang>"
)
api.add_resource(
PreferredProviderTypeUpdateApi, "/workspaces/current/model-providers/<path:provider>/preferred-provider-type"
PreferredProviderTypeUpdateApi, "/workspaces/current/model-providers/<string:provider>/preferred-provider-type"
)
api.add_resource(ModelProviderPaymentCheckoutUrlApi, "/workspaces/current/model-providers/<path:provider>/checkout-url")
api.add_resource(
ModelProviderIconApi,
"/workspaces/<string:tenant_id>/model-providers/<path:provider>/<string:icon_type>/<string:lang>",
ModelProviderPaymentCheckoutUrlApi, "/workspaces/current/model-providers/<string:provider>/checkout-url"
)
api.add_resource(
ModelProviderFreeQuotaSubmitApi, "/workspaces/current/model-providers/<string:provider>/free-quota-submit"
)
api.add_resource(
ModelProviderFreeQuotaQualificationVerifyApi,
"/workspaces/current/model-providers/<string:provider>/free-quota-qualification-verify",
)

View File

@ -325,7 +325,7 @@ class ModelProviderModelValidateApi(Resource):
response = {"result": "success" if result else "error"}
if not result:
response["error"] = error or ""
response["error"] = error
return response
@ -362,26 +362,26 @@ class ModelProviderAvailableModelApi(Resource):
return jsonable_encoder({"data": models})
api.add_resource(ModelProviderModelApi, "/workspaces/current/model-providers/<path:provider>/models")
api.add_resource(ModelProviderModelApi, "/workspaces/current/model-providers/<string:provider>/models")
api.add_resource(
ModelProviderModelEnableApi,
"/workspaces/current/model-providers/<path:provider>/models/enable",
"/workspaces/current/model-providers/<string:provider>/models/enable",
endpoint="model-provider-model-enable",
)
api.add_resource(
ModelProviderModelDisableApi,
"/workspaces/current/model-providers/<path:provider>/models/disable",
"/workspaces/current/model-providers/<string:provider>/models/disable",
endpoint="model-provider-model-disable",
)
api.add_resource(
ModelProviderModelCredentialApi, "/workspaces/current/model-providers/<path:provider>/models/credentials"
ModelProviderModelCredentialApi, "/workspaces/current/model-providers/<string:provider>/models/credentials"
)
api.add_resource(
ModelProviderModelValidateApi, "/workspaces/current/model-providers/<path:provider>/models/credentials/validate"
ModelProviderModelValidateApi, "/workspaces/current/model-providers/<string:provider>/models/credentials/validate"
)
api.add_resource(
ModelProviderModelParameterRuleApi, "/workspaces/current/model-providers/<path:provider>/models/parameter-rules"
ModelProviderModelParameterRuleApi, "/workspaces/current/model-providers/<string:provider>/models/parameter-rules"
)
api.add_resource(ModelProviderAvailableModelApi, "/workspaces/current/models/model-types/<string:model_type>")
api.add_resource(DefaultModelApi, "/workspaces/current/default-model")

View File

@ -1,475 +0,0 @@
import io
from flask import request, send_file
from flask_login import current_user # type: ignore
from flask_restful import Resource, reqparse # type: ignore
from werkzeug.exceptions import Forbidden
from configs import dify_config
from controllers.console import api
from controllers.console.workspace import plugin_permission_required
from controllers.console.wraps import account_initialization_required, setup_required
from core.model_runtime.utils.encoders import jsonable_encoder
from core.plugin.manager.exc import PluginDaemonClientSideError
from libs.login import login_required
from models.account import TenantPluginPermission
from services.plugin.plugin_permission_service import PluginPermissionService
from services.plugin.plugin_service import PluginService
class PluginDebuggingKeyApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def get(self):
tenant_id = current_user.current_tenant_id
try:
return {
"key": PluginService.get_debugging_key(tenant_id),
"host": dify_config.PLUGIN_REMOTE_INSTALL_HOST,
"port": dify_config.PLUGIN_REMOTE_INSTALL_PORT,
}
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginListApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
tenant_id = current_user.current_tenant_id
try:
plugins = PluginService.list(tenant_id)
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder({"plugins": plugins})
class PluginListInstallationsFromIdsApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("plugin_ids", type=list, required=True, location="json")
args = parser.parse_args()
try:
plugins = PluginService.list_installations_from_ids(tenant_id, args["plugin_ids"])
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder({"plugins": plugins})
class PluginIconApi(Resource):
@setup_required
def get(self):
req = reqparse.RequestParser()
req.add_argument("tenant_id", type=str, required=True, location="args")
req.add_argument("filename", type=str, required=True, location="args")
args = req.parse_args()
try:
icon_bytes, mimetype = PluginService.get_asset(args["tenant_id"], args["filename"])
except PluginDaemonClientSideError as e:
raise ValueError(e)
icon_cache_max_age = dify_config.TOOL_ICON_CACHE_MAX_AGE
return send_file(io.BytesIO(icon_bytes), mimetype=mimetype, max_age=icon_cache_max_age)
class PluginUploadFromPkgApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(install_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
file = request.files["pkg"]
# check file size
if file.content_length > dify_config.PLUGIN_MAX_PACKAGE_SIZE:
raise ValueError("File size exceeds the maximum allowed size")
content = file.read()
try:
response = PluginService.upload_pkg(tenant_id, content)
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder(response)
class PluginUploadFromGithubApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(install_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("repo", type=str, required=True, location="json")
parser.add_argument("version", type=str, required=True, location="json")
parser.add_argument("package", type=str, required=True, location="json")
args = parser.parse_args()
try:
response = PluginService.upload_pkg_from_github(tenant_id, args["repo"], args["version"], args["package"])
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder(response)
class PluginUploadFromBundleApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(install_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
file = request.files["bundle"]
# check file size
if file.content_length > dify_config.PLUGIN_MAX_BUNDLE_SIZE:
raise ValueError("File size exceeds the maximum allowed size")
content = file.read()
try:
response = PluginService.upload_bundle(tenant_id, content)
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder(response)
class PluginInstallFromPkgApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(install_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("plugin_unique_identifiers", type=list, required=True, location="json")
args = parser.parse_args()
# check if all plugin_unique_identifiers are valid string
for plugin_unique_identifier in args["plugin_unique_identifiers"]:
if not isinstance(plugin_unique_identifier, str):
raise ValueError("Invalid plugin unique identifier")
try:
response = PluginService.install_from_local_pkg(tenant_id, args["plugin_unique_identifiers"])
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder(response)
class PluginInstallFromGithubApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(install_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("repo", type=str, required=True, location="json")
parser.add_argument("version", type=str, required=True, location="json")
parser.add_argument("package", type=str, required=True, location="json")
parser.add_argument("plugin_unique_identifier", type=str, required=True, location="json")
args = parser.parse_args()
try:
response = PluginService.install_from_github(
tenant_id,
args["plugin_unique_identifier"],
args["repo"],
args["version"],
args["package"],
)
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder(response)
class PluginInstallFromMarketplaceApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(install_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("plugin_unique_identifiers", type=list, required=True, location="json")
args = parser.parse_args()
# check if all plugin_unique_identifiers are valid string
for plugin_unique_identifier in args["plugin_unique_identifiers"]:
if not isinstance(plugin_unique_identifier, str):
raise ValueError("Invalid plugin unique identifier")
try:
response = PluginService.install_from_marketplace_pkg(tenant_id, args["plugin_unique_identifiers"])
except PluginDaemonClientSideError as e:
raise ValueError(e)
return jsonable_encoder(response)
class PluginFetchManifestApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def get(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("plugin_unique_identifier", type=str, required=True, location="args")
args = parser.parse_args()
try:
return jsonable_encoder(
{
"manifest": PluginService.fetch_plugin_manifest(
tenant_id, args["plugin_unique_identifier"]
).model_dump()
}
)
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginFetchInstallTasksApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def get(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("page", type=int, required=True, location="args")
parser.add_argument("page_size", type=int, required=True, location="args")
args = parser.parse_args()
try:
return jsonable_encoder(
{"tasks": PluginService.fetch_install_tasks(tenant_id, args["page"], args["page_size"])}
)
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginFetchInstallTaskApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def get(self, task_id: str):
tenant_id = current_user.current_tenant_id
try:
return jsonable_encoder({"task": PluginService.fetch_install_task(tenant_id, task_id)})
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginDeleteInstallTaskApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def post(self, task_id: str):
tenant_id = current_user.current_tenant_id
try:
return {"success": PluginService.delete_install_task(tenant_id, task_id)}
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginDeleteAllInstallTaskItemsApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
try:
return {"success": PluginService.delete_all_install_task_items(tenant_id)}
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginDeleteInstallTaskItemApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def post(self, task_id: str, identifier: str):
tenant_id = current_user.current_tenant_id
try:
return {"success": PluginService.delete_install_task_item(tenant_id, task_id, identifier)}
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginUpgradeFromMarketplaceApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("original_plugin_unique_identifier", type=str, required=True, location="json")
parser.add_argument("new_plugin_unique_identifier", type=str, required=True, location="json")
args = parser.parse_args()
try:
return jsonable_encoder(
PluginService.upgrade_plugin_with_marketplace(
tenant_id, args["original_plugin_unique_identifier"], args["new_plugin_unique_identifier"]
)
)
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginUpgradeFromGithubApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def post(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("original_plugin_unique_identifier", type=str, required=True, location="json")
parser.add_argument("new_plugin_unique_identifier", type=str, required=True, location="json")
parser.add_argument("repo", type=str, required=True, location="json")
parser.add_argument("version", type=str, required=True, location="json")
parser.add_argument("package", type=str, required=True, location="json")
args = parser.parse_args()
try:
return jsonable_encoder(
PluginService.upgrade_plugin_with_github(
tenant_id,
args["original_plugin_unique_identifier"],
args["new_plugin_unique_identifier"],
args["repo"],
args["version"],
args["package"],
)
)
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginUninstallApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(debug_required=True)
def post(self):
req = reqparse.RequestParser()
req.add_argument("plugin_installation_id", type=str, required=True, location="json")
args = req.parse_args()
tenant_id = current_user.current_tenant_id
try:
return {"success": PluginService.uninstall(tenant_id, args["plugin_installation_id"])}
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginChangePermissionApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
user = current_user
if not user.is_admin_or_owner:
raise Forbidden()
req = reqparse.RequestParser()
req.add_argument("install_permission", type=str, required=True, location="json")
req.add_argument("debug_permission", type=str, required=True, location="json")
args = req.parse_args()
install_permission = TenantPluginPermission.InstallPermission(args["install_permission"])
debug_permission = TenantPluginPermission.DebugPermission(args["debug_permission"])
tenant_id = user.current_tenant_id
return {"success": PluginPermissionService.change_permission(tenant_id, install_permission, debug_permission)}
class PluginFetchPermissionApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
tenant_id = current_user.current_tenant_id
permission = PluginPermissionService.get_permission(tenant_id)
if not permission:
return jsonable_encoder(
{
"install_permission": TenantPluginPermission.InstallPermission.EVERYONE,
"debug_permission": TenantPluginPermission.DebugPermission.EVERYONE,
}
)
return jsonable_encoder(
{
"install_permission": permission.install_permission,
"debug_permission": permission.debug_permission,
}
)
api.add_resource(PluginDebuggingKeyApi, "/workspaces/current/plugin/debugging-key")
api.add_resource(PluginListApi, "/workspaces/current/plugin/list")
api.add_resource(PluginListInstallationsFromIdsApi, "/workspaces/current/plugin/list/installations/ids")
api.add_resource(PluginIconApi, "/workspaces/current/plugin/icon")
api.add_resource(PluginUploadFromPkgApi, "/workspaces/current/plugin/upload/pkg")
api.add_resource(PluginUploadFromGithubApi, "/workspaces/current/plugin/upload/github")
api.add_resource(PluginUploadFromBundleApi, "/workspaces/current/plugin/upload/bundle")
api.add_resource(PluginInstallFromPkgApi, "/workspaces/current/plugin/install/pkg")
api.add_resource(PluginInstallFromGithubApi, "/workspaces/current/plugin/install/github")
api.add_resource(PluginUpgradeFromMarketplaceApi, "/workspaces/current/plugin/upgrade/marketplace")
api.add_resource(PluginUpgradeFromGithubApi, "/workspaces/current/plugin/upgrade/github")
api.add_resource(PluginInstallFromMarketplaceApi, "/workspaces/current/plugin/install/marketplace")
api.add_resource(PluginFetchManifestApi, "/workspaces/current/plugin/fetch-manifest")
api.add_resource(PluginFetchInstallTasksApi, "/workspaces/current/plugin/tasks")
api.add_resource(PluginFetchInstallTaskApi, "/workspaces/current/plugin/tasks/<task_id>")
api.add_resource(PluginDeleteInstallTaskApi, "/workspaces/current/plugin/tasks/<task_id>/delete")
api.add_resource(PluginDeleteAllInstallTaskItemsApi, "/workspaces/current/plugin/tasks/delete_all")
api.add_resource(PluginDeleteInstallTaskItemApi, "/workspaces/current/plugin/tasks/<task_id>/delete/<path:identifier>")
api.add_resource(PluginUninstallApi, "/workspaces/current/plugin/uninstall")
api.add_resource(PluginChangePermissionApi, "/workspaces/current/plugin/permission/change")
api.add_resource(PluginFetchPermissionApi, "/workspaces/current/plugin/permission/fetch")

View File

@ -25,10 +25,8 @@ class ToolProviderListApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
req = reqparse.RequestParser()
req.add_argument(
@ -49,43 +47,28 @@ class ToolBuiltinProviderListToolsApi(Resource):
@login_required
@account_initialization_required
def get(self, provider):
user = current_user
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return jsonable_encoder(
BuiltinToolManageService.list_builtin_tool_provider_tools(
user_id,
tenant_id,
provider,
)
)
class ToolBuiltinProviderInfoApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, provider):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
return jsonable_encoder(BuiltinToolManageService.get_builtin_tool_provider_info(user_id, tenant_id, provider))
class ToolBuiltinProviderDeleteApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self, provider):
user = current_user
if not user.is_admin_or_owner:
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return BuiltinToolManageService.delete_builtin_tool_provider(
user_id,
@ -99,13 +82,11 @@ class ToolBuiltinProviderUpdateApi(Resource):
@login_required
@account_initialization_required
def post(self, provider):
user = current_user
if not user.is_admin_or_owner:
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
@ -150,13 +131,11 @@ class ToolApiProviderAddApi(Resource):
@login_required
@account_initialization_required
def post(self):
user = current_user
if not user.is_admin_or_owner:
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
@ -189,11 +168,6 @@ class ToolApiProviderGetRemoteSchemaApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("url", type=str, required=True, nullable=False, location="args")
@ -201,8 +175,8 @@ class ToolApiProviderGetRemoteSchemaApi(Resource):
args = parser.parse_args()
return ApiToolManageService.get_api_tool_provider_remote_schema(
user_id,
tenant_id,
current_user.id,
current_user.current_tenant_id,
args["url"],
)
@ -212,10 +186,8 @@ class ToolApiProviderListToolsApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
@ -237,13 +209,11 @@ class ToolApiProviderUpdateApi(Resource):
@login_required
@account_initialization_required
def post(self):
user = current_user
if not user.is_admin_or_owner:
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json")
@ -278,13 +248,11 @@ class ToolApiProviderDeleteApi(Resource):
@login_required
@account_initialization_required
def post(self):
user = current_user
if not user.is_admin_or_owner:
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
@ -304,10 +272,8 @@ class ToolApiProviderGetApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
@ -327,11 +293,7 @@ class ToolBuiltinProviderCredentialsSchemaApi(Resource):
@login_required
@account_initialization_required
def get(self, provider):
user = current_user
tenant_id = user.current_tenant_id
return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider, tenant_id)
return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider)
class ToolApiProviderSchemaApi(Resource):
@ -382,13 +344,11 @@ class ToolWorkflowProviderCreateApi(Resource):
@login_required
@account_initialization_required
def post(self):
user = current_user
if not user.is_admin_or_owner:
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
reqparser = reqparse.RequestParser()
reqparser.add_argument("workflow_app_id", type=uuid_value, required=True, nullable=False, location="json")
@ -421,13 +381,11 @@ class ToolWorkflowProviderUpdateApi(Resource):
@login_required
@account_initialization_required
def post(self):
user = current_user
if not user.is_admin_or_owner:
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
reqparser = reqparse.RequestParser()
reqparser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="json")
@ -463,13 +421,11 @@ class ToolWorkflowProviderDeleteApi(Resource):
@login_required
@account_initialization_required
def post(self):
user = current_user
if not user.is_admin_or_owner:
if not current_user.is_admin_or_owner:
raise Forbidden()
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
reqparser = reqparse.RequestParser()
reqparser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="json")
@ -488,10 +444,8 @@ class ToolWorkflowProviderGetApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("workflow_tool_id", type=uuid_value, required=False, nullable=True, location="args")
@ -522,10 +476,8 @@ class ToolWorkflowProviderListToolApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="args")
@ -546,10 +498,8 @@ class ToolBuiltinListApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return jsonable_encoder(
[
@ -567,10 +517,8 @@ class ToolApiListApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return jsonable_encoder(
[
@ -588,10 +536,8 @@ class ToolWorkflowListApi(Resource):
@login_required
@account_initialization_required
def get(self):
user = current_user
user_id = user.id
tenant_id = user.current_tenant_id
user_id = current_user.id
tenant_id = current_user.current_tenant_id
return jsonable_encoder(
[
@ -617,18 +563,16 @@ class ToolLabelsApi(Resource):
api.add_resource(ToolProviderListApi, "/workspaces/current/tool-providers")
# builtin tool provider
api.add_resource(ToolBuiltinProviderListToolsApi, "/workspaces/current/tool-provider/builtin/<path:provider>/tools")
api.add_resource(ToolBuiltinProviderInfoApi, "/workspaces/current/tool-provider/builtin/<path:provider>/info")
api.add_resource(ToolBuiltinProviderDeleteApi, "/workspaces/current/tool-provider/builtin/<path:provider>/delete")
api.add_resource(ToolBuiltinProviderUpdateApi, "/workspaces/current/tool-provider/builtin/<path:provider>/update")
api.add_resource(ToolBuiltinProviderListToolsApi, "/workspaces/current/tool-provider/builtin/<provider>/tools")
api.add_resource(ToolBuiltinProviderDeleteApi, "/workspaces/current/tool-provider/builtin/<provider>/delete")
api.add_resource(ToolBuiltinProviderUpdateApi, "/workspaces/current/tool-provider/builtin/<provider>/update")
api.add_resource(
ToolBuiltinProviderGetCredentialsApi, "/workspaces/current/tool-provider/builtin/<path:provider>/credentials"
ToolBuiltinProviderGetCredentialsApi, "/workspaces/current/tool-provider/builtin/<provider>/credentials"
)
api.add_resource(
ToolBuiltinProviderCredentialsSchemaApi,
"/workspaces/current/tool-provider/builtin/<path:provider>/credentials_schema",
ToolBuiltinProviderCredentialsSchemaApi, "/workspaces/current/tool-provider/builtin/<provider>/credentials_schema"
)
api.add_resource(ToolBuiltinProviderIconApi, "/workspaces/current/tool-provider/builtin/<path:provider>/icon")
api.add_resource(ToolBuiltinProviderIconApi, "/workspaces/current/tool-provider/builtin/<provider>/icon")
# api tool provider
api.add_resource(ToolApiProviderAddApi, "/workspaces/current/tool-provider/api/add")

View File

@ -7,7 +7,6 @@ from flask_login import current_user # type: ignore
from configs import dify_config
from controllers.console.workspace.error import AccountNotInitializedError
from extensions.ext_database import db
from models.model import DifySetup
from services.feature_service import FeatureService, LicenseStatus
from services.operation_service import OperationService
@ -135,13 +134,9 @@ def setup_required(view):
@wraps(view)
def decorated(*args, **kwargs):
# check setup
if (
dify_config.EDITION == "SELF_HOSTED"
and os.environ.get("INIT_PASSWORD")
and not db.session.query(DifySetup).first()
):
if dify_config.EDITION == "SELF_HOSTED" and os.environ.get("INIT_PASSWORD") and not DifySetup.query.first():
raise NotInitValidateError()
elif dify_config.EDITION == "SELF_HOSTED" and not db.session.query(DifySetup).first():
elif dify_config.EDITION == "SELF_HOSTED" and not DifySetup.query.first():
raise NotSetupError()
return view(*args, **kwargs)

View File

@ -6,4 +6,4 @@ bp = Blueprint("files", __name__)
api = ExternalApi(bp)
from . import image_preview, tool_files, upload
from . import image_preview, tool_files

View File

@ -1,5 +1,3 @@
from urllib.parse import quote
from flask import Response, request
from flask_restful import Resource, reqparse # type: ignore
from werkzeug.exceptions import NotFound
@ -73,8 +71,7 @@ class FilePreviewApi(Resource):
if upload_file.size > 0:
response.headers["Content-Length"] = str(upload_file.size)
if args["as_attachment"]:
encoded_filename = quote(upload_file.name)
response.headers["Content-Disposition"] = f"attachment; filename*=UTF-8''{encoded_filename}"
response.headers["Content-Disposition"] = f"attachment; filename={upload_file.name}"
return response

View File

@ -1,69 +0,0 @@
from flask import request
from flask_restful import Resource, marshal_with # type: ignore
from werkzeug.exceptions import Forbidden
import services
from controllers.console.wraps import setup_required
from controllers.files import api
from controllers.files.error import UnsupportedFileTypeError
from controllers.inner_api.plugin.wraps import get_user
from controllers.service_api.app.error import FileTooLargeError
from core.file.helpers import verify_plugin_file_signature
from fields.file_fields import file_fields
from services.file_service import FileService
class PluginUploadFileApi(Resource):
@setup_required
@marshal_with(file_fields)
def post(self):
# get file from request
file = request.files["file"]
timestamp = request.args.get("timestamp")
nonce = request.args.get("nonce")
sign = request.args.get("sign")
tenant_id = request.args.get("tenant_id")
if not tenant_id:
raise Forbidden("Invalid request.")
user_id = request.args.get("user_id")
user = get_user(tenant_id, user_id)
filename = file.filename
mimetype = file.mimetype
if not filename or not mimetype:
raise Forbidden("Invalid request.")
if not timestamp or not nonce or not sign:
raise Forbidden("Invalid request.")
if not verify_plugin_file_signature(
filename=filename,
mimetype=mimetype,
tenant_id=tenant_id,
user_id=user_id,
timestamp=timestamp,
nonce=nonce,
sign=sign,
):
raise Forbidden("Invalid request.")
try:
upload_file = FileService.upload_file(
filename=filename,
content=file.read(),
mimetype=mimetype,
user=user,
source=None,
)
except services.errors.file.FileTooLargeError as file_too_large_error:
raise FileTooLargeError(file_too_large_error.description)
except services.errors.file.UnsupportedFileTypeError:
raise UnsupportedFileTypeError()
return upload_file, 201
api.add_resource(PluginUploadFileApi, "/files/upload/for-plugin")

View File

@ -5,5 +5,4 @@ from libs.external_api import ExternalApi
bp = Blueprint("inner_api", __name__, url_prefix="/inner/api")
api = ExternalApi(bp)
from .plugin import plugin
from .workspace import workspace

View File

@ -1,293 +0,0 @@
from flask_restful import Resource # type: ignore
from controllers.console.wraps import setup_required
from controllers.inner_api import api
from controllers.inner_api.plugin.wraps import get_user_tenant, plugin_data
from controllers.inner_api.wraps import plugin_inner_api_only
from core.file.helpers import get_signed_file_url_for_plugin
from core.model_runtime.utils.encoders import jsonable_encoder
from core.plugin.backwards_invocation.app import PluginAppBackwardsInvocation
from core.plugin.backwards_invocation.base import BaseBackwardsInvocationResponse
from core.plugin.backwards_invocation.encrypt import PluginEncrypter
from core.plugin.backwards_invocation.model import PluginModelBackwardsInvocation
from core.plugin.backwards_invocation.node import PluginNodeBackwardsInvocation
from core.plugin.backwards_invocation.tool import PluginToolBackwardsInvocation
from core.plugin.entities.request import (
RequestInvokeApp,
RequestInvokeEncrypt,
RequestInvokeLLM,
RequestInvokeModeration,
RequestInvokeParameterExtractorNode,
RequestInvokeQuestionClassifierNode,
RequestInvokeRerank,
RequestInvokeSpeech2Text,
RequestInvokeSummary,
RequestInvokeTextEmbedding,
RequestInvokeTool,
RequestInvokeTTS,
RequestRequestUploadFile,
)
from core.tools.entities.tool_entities import ToolProviderType
from libs.helper import compact_generate_response
from models.account import Account, Tenant
from models.model import EndUser
class PluginInvokeLLMApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeLLM)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeLLM):
def generator():
response = PluginModelBackwardsInvocation.invoke_llm(user_model.id, tenant_model, payload)
return PluginModelBackwardsInvocation.convert_to_event_stream(response)
return compact_generate_response(generator())
class PluginInvokeTextEmbeddingApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeTextEmbedding)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTextEmbedding):
try:
return jsonable_encoder(
BaseBackwardsInvocationResponse(
data=PluginModelBackwardsInvocation.invoke_text_embedding(
user_id=user_model.id,
tenant=tenant_model,
payload=payload,
)
)
)
except Exception as e:
return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
class PluginInvokeRerankApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeRerank)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeRerank):
try:
return jsonable_encoder(
BaseBackwardsInvocationResponse(
data=PluginModelBackwardsInvocation.invoke_rerank(
user_id=user_model.id,
tenant=tenant_model,
payload=payload,
)
)
)
except Exception as e:
return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
class PluginInvokeTTSApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeTTS)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTTS):
def generator():
response = PluginModelBackwardsInvocation.invoke_tts(
user_id=user_model.id,
tenant=tenant_model,
payload=payload,
)
return PluginModelBackwardsInvocation.convert_to_event_stream(response)
return compact_generate_response(generator())
class PluginInvokeSpeech2TextApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeSpeech2Text)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeSpeech2Text):
try:
return jsonable_encoder(
BaseBackwardsInvocationResponse(
data=PluginModelBackwardsInvocation.invoke_speech2text(
user_id=user_model.id,
tenant=tenant_model,
payload=payload,
)
)
)
except Exception as e:
return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
class PluginInvokeModerationApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeModeration)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeModeration):
try:
return jsonable_encoder(
BaseBackwardsInvocationResponse(
data=PluginModelBackwardsInvocation.invoke_moderation(
user_id=user_model.id,
tenant=tenant_model,
payload=payload,
)
)
)
except Exception as e:
return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
class PluginInvokeToolApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeTool)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTool):
def generator():
return PluginToolBackwardsInvocation.convert_to_event_stream(
PluginToolBackwardsInvocation.invoke_tool(
tenant_id=tenant_model.id,
user_id=user_model.id,
tool_type=ToolProviderType.value_of(payload.tool_type),
provider=payload.provider,
tool_name=payload.tool,
tool_parameters=payload.tool_parameters,
),
)
return compact_generate_response(generator())
class PluginInvokeParameterExtractorNodeApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeParameterExtractorNode)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeParameterExtractorNode):
try:
return jsonable_encoder(
BaseBackwardsInvocationResponse(
data=PluginNodeBackwardsInvocation.invoke_parameter_extractor(
tenant_id=tenant_model.id,
user_id=user_model.id,
parameters=payload.parameters,
model_config=payload.model,
instruction=payload.instruction,
query=payload.query,
)
)
)
except Exception as e:
return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
class PluginInvokeQuestionClassifierNodeApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeQuestionClassifierNode)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeQuestionClassifierNode):
try:
return jsonable_encoder(
BaseBackwardsInvocationResponse(
data=PluginNodeBackwardsInvocation.invoke_question_classifier(
tenant_id=tenant_model.id,
user_id=user_model.id,
query=payload.query,
model_config=payload.model,
classes=payload.classes,
instruction=payload.instruction,
)
)
)
except Exception as e:
return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e)))
class PluginInvokeAppApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeApp)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeApp):
response = PluginAppBackwardsInvocation.invoke_app(
app_id=payload.app_id,
user_id=user_model.id,
tenant_id=tenant_model.id,
conversation_id=payload.conversation_id,
query=payload.query,
stream=payload.response_mode == "streaming",
inputs=payload.inputs,
files=payload.files,
)
return compact_generate_response(PluginAppBackwardsInvocation.convert_to_event_stream(response))
class PluginInvokeEncryptApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeEncrypt)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeEncrypt):
"""
encrypt or decrypt data
"""
try:
return BaseBackwardsInvocationResponse(
data=PluginEncrypter.invoke_encrypt(tenant_model, payload)
).model_dump()
except Exception as e:
return BaseBackwardsInvocationResponse(error=str(e)).model_dump()
class PluginInvokeSummaryApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestInvokeSummary)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeSummary):
try:
return BaseBackwardsInvocationResponse(
data={
"summary": PluginModelBackwardsInvocation.invoke_summary(
user_id=user_model.id,
tenant=tenant_model,
payload=payload,
)
}
).model_dump()
except Exception as e:
return BaseBackwardsInvocationResponse(error=str(e)).model_dump()
class PluginUploadFileRequestApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestRequestUploadFile)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestRequestUploadFile):
# generate signed url
url = get_signed_file_url_for_plugin(payload.filename, payload.mimetype, tenant_model.id, user_model.id)
return BaseBackwardsInvocationResponse(data={"url": url}).model_dump()
api.add_resource(PluginInvokeLLMApi, "/invoke/llm")
api.add_resource(PluginInvokeTextEmbeddingApi, "/invoke/text-embedding")
api.add_resource(PluginInvokeRerankApi, "/invoke/rerank")
api.add_resource(PluginInvokeTTSApi, "/invoke/tts")
api.add_resource(PluginInvokeSpeech2TextApi, "/invoke/speech2text")
api.add_resource(PluginInvokeModerationApi, "/invoke/moderation")
api.add_resource(PluginInvokeToolApi, "/invoke/tool")
api.add_resource(PluginInvokeParameterExtractorNodeApi, "/invoke/parameter-extractor")
api.add_resource(PluginInvokeQuestionClassifierNodeApi, "/invoke/question-classifier")
api.add_resource(PluginInvokeAppApi, "/invoke/app")
api.add_resource(PluginInvokeEncryptApi, "/invoke/encrypt")
api.add_resource(PluginInvokeSummaryApi, "/invoke/summary")
api.add_resource(PluginUploadFileRequestApi, "/upload/file/request")

View File

@ -1,116 +0,0 @@
from collections.abc import Callable
from functools import wraps
from typing import Optional
from flask import request
from flask_restful import reqparse # type: ignore
from pydantic import BaseModel
from sqlalchemy.orm import Session
from extensions.ext_database import db
from models.account import Account, Tenant
from models.model import EndUser
from services.account_service import AccountService
def get_user(tenant_id: str, user_id: str | None) -> Account | EndUser:
try:
with Session(db.engine) as session:
if not user_id:
user_id = "DEFAULT-USER"
if user_id == "DEFAULT-USER":
user_model = session.query(EndUser).filter(EndUser.session_id == "DEFAULT-USER").first()
if not user_model:
user_model = EndUser(
tenant_id=tenant_id,
type="service_api",
is_anonymous=True if user_id == "DEFAULT-USER" else False,
session_id=user_id,
)
session.add(user_model)
session.commit()
else:
user_model = AccountService.load_user(user_id)
if not user_model:
user_model = session.query(EndUser).filter(EndUser.id == user_id).first()
if not user_model:
raise ValueError("user not found")
except Exception:
raise ValueError("user not found")
return user_model
def get_user_tenant(view: Optional[Callable] = None):
def decorator(view_func):
@wraps(view_func)
def decorated_view(*args, **kwargs):
# fetch json body
parser = reqparse.RequestParser()
parser.add_argument("tenant_id", type=str, required=True, location="json")
parser.add_argument("user_id", type=str, required=True, location="json")
kwargs = parser.parse_args()
user_id = kwargs.get("user_id")
tenant_id = kwargs.get("tenant_id")
if not tenant_id:
raise ValueError("tenant_id is required")
if not user_id:
user_id = "DEFAULT-USER"
del kwargs["tenant_id"]
del kwargs["user_id"]
try:
tenant_model = (
db.session.query(Tenant)
.filter(
Tenant.id == tenant_id,
)
.first()
)
except Exception:
raise ValueError("tenant not found")
if not tenant_model:
raise ValueError("tenant not found")
kwargs["tenant_model"] = tenant_model
kwargs["user_model"] = get_user(tenant_id, user_id)
return view_func(*args, **kwargs)
return decorated_view
if view is None:
return decorator
else:
return decorator(view)
def plugin_data(view: Optional[Callable] = None, *, payload_type: type[BaseModel]):
def decorator(view_func):
def decorated_view(*args, **kwargs):
try:
data = request.get_json()
except Exception:
raise ValueError("invalid json")
try:
payload = payload_type(**data)
except Exception as e:
raise ValueError(f"invalid payload: {str(e)}")
kwargs["payload"] = payload
return view_func(*args, **kwargs)
return decorated_view
if view is None:
return decorator
else:
return decorator(view)

View File

@ -1,10 +1,8 @@
import json
from flask_restful import Resource, reqparse # type: ignore
from controllers.console.wraps import setup_required
from controllers.inner_api import api
from controllers.inner_api.wraps import enterprise_inner_api_only
from controllers.inner_api.wraps import inner_api_only
from events.tenant_event import tenant_was_created
from models.account import Account
from services.account_service import TenantService
@ -12,7 +10,7 @@ from services.account_service import TenantService
class EnterpriseWorkspace(Resource):
@setup_required
@enterprise_inner_api_only
@inner_api_only
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("name", type=str, required=True, location="json")
@ -31,34 +29,4 @@ class EnterpriseWorkspace(Resource):
return {"message": "enterprise workspace created."}
class EnterpriseWorkspaceNoOwnerEmail(Resource):
@setup_required
@enterprise_inner_api_only
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("name", type=str, required=True, location="json")
args = parser.parse_args()
tenant = TenantService.create_tenant(args["name"], is_from_dashboard=True)
tenant_was_created.send(tenant)
resp = {
"id": tenant.id,
"name": tenant.name,
"encrypt_public_key": tenant.encrypt_public_key,
"plan": tenant.plan,
"status": tenant.status,
"custom_config": json.loads(tenant.custom_config) if tenant.custom_config else {},
"created_at": tenant.created_at.isoformat() + "Z" if tenant.created_at else None,
"updated_at": tenant.updated_at.isoformat() + "Z" if tenant.updated_at else None,
}
return {
"message": "enterprise workspace created.",
"tenant": resp,
}
api.add_resource(EnterpriseWorkspace, "/enterprise/workspace")
api.add_resource(EnterpriseWorkspaceNoOwnerEmail, "/enterprise/workspace/ownerless")

View File

@ -10,7 +10,7 @@ from extensions.ext_database import db
from models.model import EndUser
def enterprise_inner_api_only(view):
def inner_api_only(view):
@wraps(view)
def decorated(*args, **kwargs):
if not dify_config.INNER_API:
@ -18,7 +18,7 @@ def enterprise_inner_api_only(view):
# get header 'X-Inner-Api-Key'
inner_api_key = request.headers.get("X-Inner-Api-Key")
if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY_FOR_PLUGIN:
if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY:
abort(401)
return view(*args, **kwargs)
@ -26,7 +26,7 @@ def enterprise_inner_api_only(view):
return decorated
def enterprise_inner_api_user_auth(view):
def inner_api_user_auth(view):
@wraps(view)
def decorated(*args, **kwargs):
if not dify_config.INNER_API:
@ -60,19 +60,3 @@ def enterprise_inner_api_user_auth(view):
return view(*args, **kwargs)
return decorated
def plugin_inner_api_only(view):
@wraps(view)
def decorated(*args, **kwargs):
if not dify_config.PLUGIN_DAEMON_KEY:
abort(404)
# get header 'X-Inner-Api-Key'
inner_api_key = request.headers.get("X-Inner-Api-Key")
if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY_FOR_PLUGIN:
abort(404)
return view(*args, **kwargs)
return decorated

View File

@ -7,4 +7,4 @@ api = ExternalApi(bp)
from . import index
from .app import app, audio, completion, conversation, file, message, workflow
from .dataset import dataset, document, hit_testing, segment, upload_file
from .dataset import dataset, document, hit_testing, segment

View File

@ -10,7 +10,6 @@ from controllers.service_api.app.error import NotChatAppError
from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
from core.app.entities.app_invoke_entities import InvokeFrom
from fields.conversation_fields import message_file_fields
from fields.message_fields import feedback_fields, retriever_resource_fields
from fields.raws import FilesContainedField
from libs.helper import TimestampField, uuid_value
from models.model import App, AppMode, EndUser
@ -19,6 +18,26 @@ from services.message_service import MessageService
class MessageListApi(Resource):
feedback_fields = {"rating": fields.String}
retriever_resource_fields = {
"id": fields.String,
"message_id": fields.String,
"position": fields.Integer,
"dataset_id": fields.String,
"dataset_name": fields.String,
"document_id": fields.String,
"document_name": fields.String,
"data_source_type": fields.String,
"segment_id": fields.String,
"score": fields.Float,
"hit_count": fields.Integer,
"word_count": fields.Integer,
"segment_position": fields.Integer,
"index_node_hash": fields.String,
"content": fields.String,
"created_at": TimestampField,
}
agent_thought_fields = {
"id": fields.String,
"chain_id": fields.String,
@ -70,7 +89,7 @@ class MessageListApi(Resource):
try:
return MessageService.pagination_by_first_id(
app_model, end_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
app_model, end_user, args["conversation_id"], args["first_id"], args["limit"]
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")

View File

@ -31,11 +31,8 @@ class DatasetListApi(DatasetApiResource):
# provider = request.args.get("provider", default="vendor")
search = request.args.get("keyword", default=None, type=str)
tag_ids = request.args.getlist("tag_ids")
include_all = request.args.get("include_all", default="false").lower() == "true"
datasets, total = DatasetService.get_datasets(
page, limit, tenant_id, current_user, search, tag_ids, include_all
)
datasets, total = DatasetService.get_datasets(page, limit, tenant_id, current_user, search, tag_ids)
# check embedding setting
provider_manager = ProviderManager()
configurations = provider_manager.get_configurations(tenant_id=current_user.current_tenant_id)

View File

@ -18,7 +18,6 @@ from controllers.service_api.app.error import (
from controllers.service_api.dataset.error import (
ArchivedDocumentImmutableError,
DocumentIndexingError,
InvalidMetadataError,
)
from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
from core.errors.error import ProviderTokenNotInitError
@ -51,9 +50,6 @@ class DocumentAddByTextApi(DatasetApiResource):
"indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json"
)
parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
args = parser.parse_args()
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
@ -65,28 +61,6 @@ class DocumentAddByTextApi(DatasetApiResource):
if not dataset.indexing_technique and not args["indexing_technique"]:
raise ValueError("indexing_technique is required.")
# Validate metadata if provided
if args.get("doc_type") or args.get("doc_metadata"):
if not args.get("doc_type") or not args.get("doc_metadata"):
raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
raise InvalidMetadataError(
"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
)
if not isinstance(args["doc_metadata"], dict):
raise InvalidMetadataError("doc_metadata must be a dictionary")
# Validate metadata schema based on doc_type
if args["doc_type"] != "others":
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
for key, value in args["doc_metadata"].items():
if key in metadata_schema and not isinstance(value, metadata_schema[key]):
raise InvalidMetadataError(f"Invalid type for metadata field {key}")
# set to MetaDataConfig
args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
text = args.get("text")
name = args.get("name")
if text is None or name is None:
@ -133,8 +107,6 @@ class DocumentUpdateByTextApi(DatasetApiResource):
"doc_language", type=str, default="English", required=False, nullable=False, location="json"
)
parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
args = parser.parse_args()
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
@ -143,32 +115,6 @@ class DocumentUpdateByTextApi(DatasetApiResource):
if not dataset:
raise ValueError("Dataset is not exist.")
# indexing_technique is already set in dataset since this is an update
args["indexing_technique"] = dataset.indexing_technique
# Validate metadata if provided
if args.get("doc_type") or args.get("doc_metadata"):
if not args.get("doc_type") or not args.get("doc_metadata"):
raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
raise InvalidMetadataError(
"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
)
if not isinstance(args["doc_metadata"], dict):
raise InvalidMetadataError("doc_metadata must be a dictionary")
# Validate metadata schema based on doc_type
if args["doc_type"] != "others":
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
for key, value in args["doc_metadata"].items():
if key in metadata_schema and not isinstance(value, metadata_schema[key]):
raise InvalidMetadataError(f"Invalid type for metadata field {key}")
# set to MetaDataConfig
args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
if args["text"]:
text = args.get("text")
name = args.get("name")
@ -215,30 +161,6 @@ class DocumentAddByFileApi(DatasetApiResource):
args["doc_form"] = "text_model"
if "doc_language" not in args:
args["doc_language"] = "English"
# Validate metadata if provided
if args.get("doc_type") or args.get("doc_metadata"):
if not args.get("doc_type") or not args.get("doc_metadata"):
raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
raise InvalidMetadataError(
"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
)
if not isinstance(args["doc_metadata"], dict):
raise InvalidMetadataError("doc_metadata must be a dictionary")
# Validate metadata schema based on doc_type
if args["doc_type"] != "others":
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
for key, value in args["doc_metadata"].items():
if key in metadata_schema and not isinstance(value, metadata_schema[key]):
raise InvalidMetadataError(f"Invalid type for metadata field {key}")
# set to MetaDataConfig
args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
# get dataset info
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
@ -306,29 +228,6 @@ class DocumentUpdateByFileApi(DatasetApiResource):
if "doc_language" not in args:
args["doc_language"] = "English"
# Validate metadata if provided
if args.get("doc_type") or args.get("doc_metadata"):
if not args.get("doc_type") or not args.get("doc_metadata"):
raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
raise InvalidMetadataError(
"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
)
if not isinstance(args["doc_metadata"], dict):
raise InvalidMetadataError("doc_metadata must be a dictionary")
# Validate metadata schema based on doc_type
if args["doc_type"] != "others":
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
for key, value in args["doc_metadata"].items():
if key in metadata_schema and not isinstance(value, metadata_schema[key]):
raise InvalidMetadataError(f"Invalid type for metadata field {key}")
# set to MetaDataConfig
args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
# get dataset info
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
@ -336,10 +235,6 @@ class DocumentUpdateByFileApi(DatasetApiResource):
if not dataset:
raise ValueError("Dataset is not exist.")
# indexing_technique is already set in dataset since this is an update
args["indexing_technique"] = dataset.indexing_technique
if "file" in request.files:
# save file info
file = request.files["file"]

View File

@ -53,7 +53,8 @@ class SegmentApi(DatasetApiResource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@ -94,7 +95,8 @@ class SegmentApi(DatasetApiResource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@ -173,7 +175,8 @@ class DatasetSegmentApi(DatasetApiResource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider."
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)

View File

@ -1,54 +0,0 @@
from werkzeug.exceptions import NotFound
from controllers.service_api import api
from controllers.service_api.wraps import (
DatasetApiResource,
)
from core.file import helpers as file_helpers
from extensions.ext_database import db
from models.dataset import Dataset
from models.model import UploadFile
from services.dataset_service import DocumentService
class UploadFileApi(DatasetApiResource):
def get(self, tenant_id, dataset_id, document_id):
"""Get upload file."""
# check dataset
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
if not dataset:
raise NotFound("Dataset not found.")
# check document
document_id = str(document_id)
document = DocumentService.get_document(dataset.id, document_id)
if not document:
raise NotFound("Document not found.")
# check upload file
if document.data_source_type != "upload_file":
raise ValueError(f"Document data source type ({document.data_source_type}) is not upload_file.")
data_source_info = document.data_source_info_dict
if data_source_info and "upload_file_id" in data_source_info:
file_id = data_source_info["upload_file_id"]
upload_file = db.session.query(UploadFile).filter(UploadFile.id == file_id).first()
if not upload_file:
raise NotFound("UploadFile not found.")
else:
raise ValueError("Upload file id not found in document data source info.")
url = file_helpers.get_signed_file_url(upload_file_id=upload_file.id)
return {
"id": upload_file.id,
"name": upload_file.name,
"size": upload_file.size,
"extension": upload_file.extension,
"url": url,
"download_url": f"{url}&as_attachment=true",
"mime_type": upload_file.mime_type,
"created_by": upload_file.created_by,
"created_at": upload_file.created_at.timestamp(),
}, 200
api.add_resource(UploadFileApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/upload-file")

View File

@ -1,5 +1,5 @@
from collections.abc import Callable
from datetime import UTC, datetime, timedelta
from datetime import UTC, datetime
from enum import Enum
from functools import wraps
from typing import Optional
@ -8,8 +8,6 @@ from flask import current_app, request
from flask_login import user_logged_in # type: ignore
from flask_restful import Resource # type: ignore
from pydantic import BaseModel
from sqlalchemy import select, update
from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden, Unauthorized
from extensions.ext_database import db
@ -154,7 +152,7 @@ def validate_dataset_token(view=None):
) # TODO: only owner information is required, so only one is returned.
if tenant_account_join:
tenant, ta = tenant_account_join
account = db.session.query(Account).filter(Account.id == ta.account_id).first()
account = Account.query.filter_by(id=ta.account_id).first()
# Login admin
if account:
account.current_tenant = tenant
@ -176,7 +174,7 @@ def validate_dataset_token(view=None):
return decorator
def validate_and_get_api_token(scope: str | None = None):
def validate_and_get_api_token(scope=None):
"""
Validate and get API token.
"""
@ -190,29 +188,20 @@ def validate_and_get_api_token(scope: str | None = None):
if auth_scheme != "bearer":
raise Unauthorized("Authorization scheme must be 'Bearer'")
current_time = datetime.now(UTC).replace(tzinfo=None)
cutoff_time = current_time - timedelta(minutes=1)
with Session(db.engine, expire_on_commit=False) as session:
update_stmt = (
update(ApiToken)
.where(
ApiToken.token == auth_token,
(ApiToken.last_used_at.is_(None) | (ApiToken.last_used_at < cutoff_time)),
ApiToken.type == scope,
)
.values(last_used_at=current_time)
.returning(ApiToken)
api_token = (
db.session.query(ApiToken)
.filter(
ApiToken.token == auth_token,
ApiToken.type == scope,
)
result = session.execute(update_stmt)
api_token = result.scalar_one_or_none()
.first()
)
if not api_token:
stmt = select(ApiToken).where(ApiToken.token == auth_token, ApiToken.type == scope)
api_token = session.scalar(stmt)
if not api_token:
raise Unauthorized("Access token is invalid")
else:
session.commit()
if not api_token:
raise Unauthorized("Access token is invalid")
api_token.last_used_at = datetime.now(UTC).replace(tzinfo=None)
db.session.commit()
return api_token
@ -240,7 +229,7 @@ def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str]
tenant_id=app_model.tenant_id,
app_id=app_model.id,
type="service_api",
is_anonymous=user_id == "DEFAULT-USER",
is_anonymous=True if user_id == "DEFAULT-USER" else False,
session_id=user_id,
)
db.session.add(end_user)

View File

@ -39,7 +39,7 @@ class ConversationListApi(WebApiResource):
pinned = None
if "pinned" in args and args["pinned"] is not None:
pinned = args["pinned"] == "true"
pinned = True if args["pinned"] == "true" else False
try:
with Session(db.engine) as session:

View File

@ -21,7 +21,7 @@ from core.app.entities.app_invoke_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from fields.conversation_fields import message_file_fields
from fields.message_fields import agent_thought_fields, feedback_fields, retriever_resource_fields
from fields.message_fields import agent_thought_fields
from fields.raws import FilesContainedField
from libs import helper
from libs.helper import TimestampField, uuid_value
@ -34,6 +34,27 @@ from services.message_service import MessageService
class MessageListApi(WebApiResource):
feedback_fields = {"rating": fields.String}
retriever_resource_fields = {
"id": fields.String,
"message_id": fields.String,
"position": fields.Integer,
"dataset_id": fields.String,
"dataset_name": fields.String,
"document_id": fields.String,
"document_name": fields.String,
"data_source_type": fields.String,
"segment_id": fields.String,
"score": fields.Float,
"hit_count": fields.Integer,
"word_count": fields.Integer,
"segment_position": fields.Integer,
"index_node_hash": fields.String,
"content": fields.String,
"created_at": TimestampField,
}
message_fields = {
"id": fields.String,
"conversation_id": fields.String,
@ -70,7 +91,7 @@ class MessageListApi(WebApiResource):
try:
return MessageService.pagination_by_first_id(
app_model, end_user, args["conversation_id"], args["first_id"], args["limit"]
app_model, end_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")

View File

@ -1,6 +1,7 @@
import json
import logging
import uuid
from datetime import UTC, datetime
from typing import Optional, Union, cast
from core.agent.entities import AgentEntity, AgentToolEntity
@ -31,16 +32,19 @@ from core.model_runtime.entities import (
from core.model_runtime.entities.message_entities import ImagePromptMessageContent
from core.model_runtime.entities.model_entities import ModelFeature
from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
from core.model_runtime.utils.encoders import jsonable_encoder
from core.prompt.utils.extract_thread_messages import extract_thread_messages
from core.tools.__base.tool import Tool
from core.tools.entities.tool_entities import (
ToolParameter,
ToolRuntimeVariablePool,
)
from core.tools.tool.dataset_retriever_tool import DatasetRetrieverTool
from core.tools.tool.tool import Tool
from core.tools.tool_manager import ToolManager
from core.tools.utils.dataset_retriever_tool import DatasetRetrieverTool
from extensions.ext_database import db
from factories import file_factory
from models.model import Conversation, Message, MessageAgentThought, MessageFile
from models.tools import ToolConversationVariables
logger = logging.getLogger(__name__)
@ -58,9 +62,11 @@ class BaseAgentRunner(AppRunner):
queue_manager: AppQueueManager,
message: Message,
user_id: str,
model_instance: ModelInstance,
memory: Optional[TokenBufferMemory] = None,
prompt_messages: Optional[list[PromptMessage]] = None,
variables_pool: Optional[ToolRuntimeVariablePool] = None,
db_variables: Optional[ToolConversationVariables] = None,
model_instance: ModelInstance,
) -> None:
self.tenant_id = tenant_id
self.application_generate_entity = application_generate_entity
@ -73,6 +79,8 @@ class BaseAgentRunner(AppRunner):
self.user_id = user_id
self.memory = memory
self.history_prompt_messages = self.organize_agent_history(prompt_messages=prompt_messages or [])
self.variables_pool = variables_pool
self.db_variables_pool = db_variables
self.model_instance = model_instance
# init callback
@ -133,10 +141,11 @@ class BaseAgentRunner(AppRunner):
agent_tool=tool,
invoke_from=self.application_generate_entity.invoke_from,
)
assert tool_entity.entity.description
tool_entity.load_variables(self.variables_pool)
message_tool = PromptMessageTool(
name=tool.tool_name,
description=tool_entity.entity.description.llm,
description=tool_entity.description.llm if tool_entity.description else "",
parameters={
"type": "object",
"properties": {},
@ -144,7 +153,7 @@ class BaseAgentRunner(AppRunner):
},
)
parameters = tool_entity.get_merged_runtime_parameters()
parameters = tool_entity.get_all_runtime_parameters()
for parameter in parameters:
if parameter.form != ToolParameter.ToolParameterForm.LLM:
continue
@ -177,11 +186,9 @@ class BaseAgentRunner(AppRunner):
"""
convert dataset retriever tool to prompt message tool
"""
assert tool.entity.description
prompt_tool = PromptMessageTool(
name=tool.entity.identity.name,
description=tool.entity.description.llm,
name=tool.identity.name if tool.identity else "unknown",
description=tool.description.llm if tool.description else "",
parameters={
"type": "object",
"properties": {},
@ -227,7 +234,8 @@ class BaseAgentRunner(AppRunner):
# save prompt tool
prompt_messages_tools.append(prompt_tool)
# save tool entity
tool_instances[dataset_tool.entity.identity.name] = dataset_tool
if dataset_tool.identity is not None:
tool_instances[dataset_tool.identity.name] = dataset_tool
return tool_instances, prompt_messages_tools
@ -312,24 +320,24 @@ class BaseAgentRunner(AppRunner):
def save_agent_thought(
self,
agent_thought: MessageAgentThought,
tool_name: str | None,
tool_input: Union[str, dict, None],
thought: str | None,
tool_name: str,
tool_input: Union[str, dict],
thought: str,
observation: Union[str, dict, None],
tool_invoke_meta: Union[str, dict, None],
answer: str | None,
answer: str,
messages_ids: list[str],
llm_usage: LLMUsage | None = None,
):
"""
Save agent thought
"""
updated_agent_thought = (
queried_thought = (
db.session.query(MessageAgentThought).filter(MessageAgentThought.id == agent_thought.id).first()
)
if not updated_agent_thought:
raise ValueError("agent thought not found")
agent_thought = updated_agent_thought
if not queried_thought:
raise ValueError(f"Agent thought {agent_thought.id} not found")
agent_thought = queried_thought
if thought:
agent_thought.thought = thought
@ -341,39 +349,39 @@ class BaseAgentRunner(AppRunner):
if isinstance(tool_input, dict):
try:
tool_input = json.dumps(tool_input, ensure_ascii=False)
except Exception:
except Exception as e:
tool_input = json.dumps(tool_input)
updated_agent_thought.tool_input = tool_input
agent_thought.tool_input = tool_input
if observation:
if isinstance(observation, dict):
try:
observation = json.dumps(observation, ensure_ascii=False)
except Exception:
except Exception as e:
observation = json.dumps(observation)
updated_agent_thought.observation = observation
agent_thought.observation = observation
if answer:
agent_thought.answer = answer
if messages_ids is not None and len(messages_ids) > 0:
updated_agent_thought.message_files = json.dumps(messages_ids)
agent_thought.message_files = json.dumps(messages_ids)
if llm_usage:
updated_agent_thought.message_token = llm_usage.prompt_tokens
updated_agent_thought.message_price_unit = llm_usage.prompt_price_unit
updated_agent_thought.message_unit_price = llm_usage.prompt_unit_price
updated_agent_thought.answer_token = llm_usage.completion_tokens
updated_agent_thought.answer_price_unit = llm_usage.completion_price_unit
updated_agent_thought.answer_unit_price = llm_usage.completion_unit_price
updated_agent_thought.tokens = llm_usage.total_tokens
updated_agent_thought.total_price = llm_usage.total_price
agent_thought.message_token = llm_usage.prompt_tokens
agent_thought.message_price_unit = llm_usage.prompt_price_unit
agent_thought.message_unit_price = llm_usage.prompt_unit_price
agent_thought.answer_token = llm_usage.completion_tokens
agent_thought.answer_price_unit = llm_usage.completion_price_unit
agent_thought.answer_unit_price = llm_usage.completion_unit_price
agent_thought.tokens = llm_usage.total_tokens
agent_thought.total_price = llm_usage.total_price
# check if tool labels is not empty
labels = updated_agent_thought.tool_labels or {}
tools = updated_agent_thought.tool.split(";") if updated_agent_thought.tool else []
labels = agent_thought.tool_labels or {}
tools = agent_thought.tool.split(";") if agent_thought.tool else []
for tool in tools:
if not tool:
continue
@ -384,20 +392,42 @@ class BaseAgentRunner(AppRunner):
else:
labels[tool] = {"en_US": tool, "zh_Hans": tool}
updated_agent_thought.tool_labels_str = json.dumps(labels)
agent_thought.tool_labels_str = json.dumps(labels)
if tool_invoke_meta is not None:
if isinstance(tool_invoke_meta, dict):
try:
tool_invoke_meta = json.dumps(tool_invoke_meta, ensure_ascii=False)
except Exception:
except Exception as e:
tool_invoke_meta = json.dumps(tool_invoke_meta)
updated_agent_thought.tool_meta_str = tool_invoke_meta
agent_thought.tool_meta_str = tool_invoke_meta
db.session.commit()
db.session.close()
def update_db_variables(self, tool_variables: ToolRuntimeVariablePool, db_variables: ToolConversationVariables):
"""
convert tool variables to db variables
"""
queried_variables = (
db.session.query(ToolConversationVariables)
.filter(
ToolConversationVariables.conversation_id == self.message.conversation_id,
)
.first()
)
if not queried_variables:
return
db_variables = queried_variables
db_variables.updated_at = datetime.now(UTC).replace(tzinfo=None)
db_variables.variables_str = json.dumps(jsonable_encoder(tool_variables.pool))
db.session.commit()
db.session.close()
def organize_agent_history(self, prompt_messages: list[PromptMessage]) -> list[PromptMessage]:
"""
Organize agent history
@ -434,11 +464,11 @@ class BaseAgentRunner(AppRunner):
tool_call_response: list[ToolPromptMessage] = []
try:
tool_inputs = json.loads(agent_thought.tool_input)
except Exception:
except Exception as e:
tool_inputs = {tool: {} for tool in tools}
try:
tool_responses = json.loads(agent_thought.observation)
except Exception:
except Exception as e:
tool_responses = dict.fromkeys(tools, agent_thought.observation)
for tool in tools:
@ -485,11 +515,7 @@ class BaseAgentRunner(AppRunner):
files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all()
if not files:
return UserPromptMessage(content=message.query)
if message.app_model_config:
file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
else:
file_extra_config = None
file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict())
if not file_extra_config:
return UserPromptMessage(content=message.query)

View File

@ -1,6 +1,6 @@
import json
from abc import ABC, abstractmethod
from collections.abc import Generator, Mapping, Sequence
from collections.abc import Generator, Mapping
from typing import Any, Optional
from core.agent.base_agent_runner import BaseAgentRunner
@ -18,8 +18,8 @@ from core.model_runtime.entities.message_entities import (
)
from core.ops.ops_trace_manager import TraceQueueManager
from core.prompt.agent_history_prompt_transform import AgentHistoryPromptTransform
from core.tools.__base.tool import Tool
from core.tools.entities.tool_entities import ToolInvokeMeta
from core.tools.tool.tool import Tool
from core.tools.tool_engine import ToolEngine
from models.model import Message
@ -27,11 +27,11 @@ from models.model import Message
class CotAgentRunner(BaseAgentRunner, ABC):
_is_first_iteration = True
_ignore_observation_providers = ["wenxin"]
_historic_prompt_messages: list[PromptMessage]
_agent_scratchpad: list[AgentScratchpadUnit]
_instruction: str
_query: str
_prompt_messages_tools: Sequence[PromptMessageTool]
_historic_prompt_messages: list[PromptMessage] | None = None
_agent_scratchpad: list[AgentScratchpadUnit] | None = None
_instruction: str = "" # FIXME this must be str for now
_query: str | None = None
_prompt_messages_tools: list[PromptMessageTool] = []
def run(
self,
@ -42,7 +42,6 @@ class CotAgentRunner(BaseAgentRunner, ABC):
"""
Run Cot agent application
"""
app_generate_entity = self.application_generate_entity
self._repack_app_generate_entity(app_generate_entity)
self._init_react_state(query)
@ -55,19 +54,17 @@ class CotAgentRunner(BaseAgentRunner, ABC):
app_generate_entity.model_conf.stop.append("Observation")
app_config = self.app_config
assert app_config.agent
# init instruction
inputs = inputs or {}
instruction = app_config.prompt_template.simple_prompt_template or ""
self._instruction = self._fill_in_inputs_from_external_data_tools(instruction, inputs)
instruction = app_config.prompt_template.simple_prompt_template
self._instruction = self._fill_in_inputs_from_external_data_tools(instruction=instruction or "", inputs=inputs)
iteration_step = 1
max_iteration_steps = min(app_config.agent.max_iteration if app_config.agent else 5, 5) + 1
# convert tools into ModelRuntime Tool format
tool_instances, prompt_messages_tools = self._init_prompt_tools()
self._prompt_messages_tools = prompt_messages_tools
tool_instances, self._prompt_messages_tools = self._init_prompt_tools()
function_call_state = True
llm_usage: dict[str, Optional[LLMUsage]] = {"usage": None}
@ -119,7 +116,14 @@ class CotAgentRunner(BaseAgentRunner, ABC):
callbacks=[],
)
usage_dict: dict[str, Optional[LLMUsage]] = {}
if not isinstance(chunks, Generator):
raise ValueError("Expected streaming response from LLM")
# check llm result
if not chunks:
raise ValueError("failed to invoke llm")
usage_dict: dict[str, Optional[LLMUsage]] = {"usage": None}
react_chunks = CotAgentOutputParser.handle_react_stream_output(chunks, usage_dict)
scratchpad = AgentScratchpadUnit(
agent_response="",
@ -139,25 +143,25 @@ class CotAgentRunner(BaseAgentRunner, ABC):
if isinstance(chunk, AgentScratchpadUnit.Action):
action = chunk
# detect action
assert scratchpad.agent_response is not None
scratchpad.agent_response += json.dumps(chunk.model_dump())
if scratchpad.agent_response is not None:
scratchpad.agent_response += json.dumps(chunk.model_dump())
scratchpad.action_str = json.dumps(chunk.model_dump())
scratchpad.action = action
else:
assert scratchpad.agent_response is not None
scratchpad.agent_response += chunk
assert scratchpad.thought is not None
scratchpad.thought += chunk
if scratchpad.agent_response is not None:
scratchpad.agent_response += chunk
if scratchpad.thought is not None:
scratchpad.thought += chunk
yield LLMResultChunk(
model=self.model_config.model,
prompt_messages=prompt_messages,
system_fingerprint="",
delta=LLMResultChunkDelta(index=0, message=AssistantPromptMessage(content=chunk), usage=None),
)
assert scratchpad.thought is not None
scratchpad.thought = scratchpad.thought.strip() or "I am thinking about how to help you"
self._agent_scratchpad.append(scratchpad)
if scratchpad.thought is not None:
scratchpad.thought = scratchpad.thought.strip() or "I am thinking about how to help you"
if self._agent_scratchpad is not None:
self._agent_scratchpad.append(scratchpad)
# get llm usage
if "usage" in usage_dict:
@ -168,7 +172,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
self.save_agent_thought(
agent_thought=agent_thought,
tool_name=(scratchpad.action.action_name if scratchpad.action and not scratchpad.is_final() else ""),
tool_name=scratchpad.action.action_name if scratchpad.action else "",
tool_input={scratchpad.action.action_name: scratchpad.action.action_input} if scratchpad.action else {},
tool_invoke_meta={},
thought=scratchpad.thought or "",
@ -252,6 +256,8 @@ class CotAgentRunner(BaseAgentRunner, ABC):
answer=final_answer,
messages_ids=[],
)
if self.variables_pool is not None and self.db_variables_pool is not None:
self.update_db_variables(self.variables_pool, self.db_variables_pool)
# publish end event
self.queue_manager.publish(
QueueMessageEndEvent(
@ -269,7 +275,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
def _handle_invoke_action(
self,
action: AgentScratchpadUnit.Action,
tool_instances: Mapping[str, Tool],
tool_instances: dict[str, Tool],
message_file_ids: list[str],
trace_manager: Optional[TraceQueueManager] = None,
) -> tuple[str, ToolInvokeMeta]:
@ -309,7 +315,11 @@ class CotAgentRunner(BaseAgentRunner, ABC):
)
# publish files
for message_file_id in message_files:
for message_file_id, save_as in message_files:
if save_as is not None and self.variables_pool:
# FIXME the save_as type is confusing, it should be a string or not
self.variables_pool.set_file(tool_name=tool_call_name, value=message_file_id, name=str(save_as))
# publish message file
self.queue_manager.publish(
QueueMessageFileEvent(message_file_id=message_file_id), PublishFrom.APPLICATION_MANAGER
@ -332,7 +342,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
for key, value in inputs.items():
try:
instruction = instruction.replace(f"{{{{{key}}}}}", str(value))
except Exception:
except Exception as e:
continue
return instruction
@ -369,7 +379,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
return message
def _organize_historic_prompt_messages(
self, current_session_messages: list[PromptMessage] | None = None
self, current_session_messages: Optional[list[PromptMessage]] = None
) -> list[PromptMessage]:
"""
organize historic prompt messages
@ -381,7 +391,8 @@ class CotAgentRunner(BaseAgentRunner, ABC):
for message in self.history_prompt_messages:
if isinstance(message, AssistantPromptMessage):
if not current_scratchpad:
assert isinstance(message.content, str)
if not isinstance(message.content, str | None):
raise NotImplementedError("expected str type")
current_scratchpad = AgentScratchpadUnit(
agent_response=message.content,
thought=message.content or "I am thinking about how to help you",
@ -400,8 +411,9 @@ class CotAgentRunner(BaseAgentRunner, ABC):
except:
pass
elif isinstance(message, ToolPromptMessage):
if current_scratchpad:
assert isinstance(message.content, str)
if not current_scratchpad:
continue
if isinstance(message.content, str):
current_scratchpad.observation = message.content
else:
raise NotImplementedError("expected str type")

View File

@ -19,8 +19,8 @@ class CotChatAgentRunner(CotAgentRunner):
"""
Organize system prompt
"""
assert self.app_config.agent
assert self.app_config.agent.prompt
if not self.app_config.agent:
raise ValueError("Agent configuration is not set")
prompt_entity = self.app_config.agent.prompt
if not prompt_entity:
@ -83,10 +83,8 @@ class CotChatAgentRunner(CotAgentRunner):
assistant_message.content = "" # FIXME: type check tell mypy that assistant_message.content is str
for unit in agent_scratchpad:
if unit.is_final():
assert isinstance(assistant_message.content, str)
assistant_message.content += f"Final Answer: {unit.agent_response}"
else:
assert isinstance(assistant_message.content, str)
assistant_message.content += f"Thought: {unit.thought}\n\n"
if unit.action_str:
assistant_message.content += f"Action: {unit.action_str}\n\n"

View File

@ -1,9 +1,7 @@
from enum import StrEnum
from typing import Any, Optional, Union
from enum import Enum
from typing import Any, Literal, Optional, Union
from pydantic import BaseModel, Field
from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderType
from pydantic import BaseModel
class AgentToolEntity(BaseModel):
@ -11,11 +9,10 @@ class AgentToolEntity(BaseModel):
Agent Tool Entity.
"""
provider_type: ToolProviderType
provider_type: Literal["builtin", "api", "workflow"]
provider_id: str
tool_name: str
tool_parameters: dict[str, Any] = Field(default_factory=dict)
plugin_unique_identifier: str | None = None
tool_parameters: dict[str, Any] = {}
class AgentPromptEntity(BaseModel):
@ -69,7 +66,7 @@ class AgentEntity(BaseModel):
Agent Entity.
"""
class Strategy(StrEnum):
class Strategy(Enum):
"""
Agent Strategy.
"""
@ -81,13 +78,5 @@ class AgentEntity(BaseModel):
model: str
strategy: Strategy
prompt: Optional[AgentPromptEntity] = None
tools: Optional[list[AgentToolEntity]] = None
tools: list[AgentToolEntity] | None = None
max_iteration: int = 5
class AgentInvokeMessage(ToolInvokeMessage):
"""
Agent Invoke Message.
"""
pass

View File

@ -46,20 +46,18 @@ class FunctionCallAgentRunner(BaseAgentRunner):
# convert tools into ModelRuntime Tool format
tool_instances, prompt_messages_tools = self._init_prompt_tools()
assert app_config.agent
iteration_step = 1
max_iteration_steps = min(app_config.agent.max_iteration, 5) + 1
# continue to run until there is not any tool call
function_call_state = True
llm_usage: dict[str, Optional[LLMUsage]] = {"usage": None}
llm_usage: dict[str, LLMUsage] = {"usage": LLMUsage.empty_usage()}
final_answer = ""
# get tracing instance
trace_manager = app_generate_entity.trace_manager
def increase_usage(final_llm_usage_dict: dict[str, Optional[LLMUsage]], usage: LLMUsage):
def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage):
if not final_llm_usage_dict["usage"]:
final_llm_usage_dict["usage"] = usage
else:
@ -109,7 +107,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
current_llm_usage = None
if isinstance(chunks, Generator):
if self.stream_tool_call and isinstance(chunks, Generator):
is_first_chunk = True
for chunk in chunks:
if is_first_chunk:
@ -126,7 +124,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
tool_call_inputs = json.dumps(
{tool_call[1]: tool_call[2] for tool_call in tool_calls}, ensure_ascii=False
)
except json.JSONDecodeError:
except json.JSONDecodeError as e:
# ensure ascii to avoid encoding error
tool_call_inputs = json.dumps({tool_call[1]: tool_call[2] for tool_call in tool_calls})
@ -142,7 +140,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
current_llm_usage = chunk.delta.usage
yield chunk
else:
elif not self.stream_tool_call and isinstance(chunks, LLMResult):
result = chunks
# check if there is any tool call
if self.check_blocking_tool_calls(result):
@ -153,7 +151,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
tool_call_inputs = json.dumps(
{tool_call[1]: tool_call[2] for tool_call in tool_calls}, ensure_ascii=False
)
except json.JSONDecodeError:
except json.JSONDecodeError as e:
# ensure ascii to avoid encoding error
tool_call_inputs = json.dumps({tool_call[1]: tool_call[2] for tool_call in tool_calls})
@ -185,6 +183,8 @@ class FunctionCallAgentRunner(BaseAgentRunner):
usage=result.usage,
),
)
else:
raise RuntimeError(f"invalid chunks type: {type(chunks)}")
assistant_message = AssistantPromptMessage(content="", tool_calls=[])
if tool_calls:
@ -243,12 +243,15 @@ class FunctionCallAgentRunner(BaseAgentRunner):
invoke_from=self.application_generate_entity.invoke_from,
agent_tool_callback=self.agent_callback,
trace_manager=trace_manager,
app_id=self.application_generate_entity.app_config.app_id,
message_id=self.message.id,
conversation_id=self.conversation.id,
)
# publish files
for message_file_id in message_files:
for message_file_id, save_as in message_files:
if save_as:
if self.variables_pool:
self.variables_pool.set_file(
tool_name=tool_call_name, value=message_file_id, name=save_as
)
# publish message file
self.queue_manager.publish(
QueueMessageFileEvent(message_file_id=message_file_id), PublishFrom.APPLICATION_MANAGER
@ -300,6 +303,8 @@ class FunctionCallAgentRunner(BaseAgentRunner):
iteration_step += 1
if self.variables_pool and self.db_variables_pool:
self.update_db_variables(self.variables_pool, self.db_variables_pool)
# publish end event
self.queue_manager.publish(
QueueMessageEndEvent(
@ -330,7 +335,9 @@ class FunctionCallAgentRunner(BaseAgentRunner):
return True
return False
def extract_tool_calls(self, llm_result_chunk: LLMResultChunk) -> list[tuple[str, str, dict[str, Any]]]:
def extract_tool_calls(
self, llm_result_chunk: LLMResultChunk
) -> Union[None, list[tuple[str, str, dict[str, Any]]]]:
"""
Extract tool calls from llm result chunk
@ -353,7 +360,7 @@ class FunctionCallAgentRunner(BaseAgentRunner):
return tool_calls
def extract_blocking_tool_calls(self, llm_result: LLMResult) -> list[tuple[str, str, dict[str, Any]]]:
def extract_blocking_tool_calls(self, llm_result: LLMResult) -> Union[None, list[tuple[str, str, dict[str, Any]]]]:
"""
Extract blocking tool calls from llm result
@ -376,7 +383,9 @@ class FunctionCallAgentRunner(BaseAgentRunner):
return tool_calls
def _init_system_message(self, prompt_template: str, prompt_messages: list[PromptMessage]) -> list[PromptMessage]:
def _init_system_message(
self, prompt_template: str, prompt_messages: Optional[list[PromptMessage]] = None
) -> list[PromptMessage]:
"""
Initialize system message
"""

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