Merge remote-tracking branch 'origin/main' into deploy/enterprise

pull/22425/head^2
Garfield Dai 9 months ago
commit 0fe9d4955c

@ -54,7 +54,7 @@
<a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
</p>
Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more, allowing you to quickly move from prototype to production.
Dify is an open-source platform for developing LLM applications. Its intuitive interface combines agentic AI workflows, RAG pipelines, agent capabilities, model management, observability features, and moreallowing you to quickly move from prototype to production.
## Quick start
@ -65,7 +65,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
</br>
The easiest way to start the Dify server is through [docker compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
The easiest way to start the Dify server is through [Docker Compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
```bash
cd dify
@ -205,6 +205,7 @@ If you'd like to configure a highly-available setup, there are community-contrib
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Using Terraform for Deployment
@ -261,8 +262,8 @@ At the same time, please consider supporting Dify by sharing it on social media
## Security disclosure
To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
To protect your privacy, please avoid posting security issues on GitHub. Instead, report issues to security@dify.ai, and our team will respond with detailed answer.
## License
This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.
This repository is licensed under the [Dify Open Source License](LICENSE), based on Apache 2.0 with additional conditions.

@ -188,6 +188,7 @@ docker compose up -d
- [رسم بياني Helm من قبل @magicsong](https://github.com/magicsong/ai-charts)
- [ملف YAML من قبل @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [ملف YAML من قبل @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 جديد! ملفات YAML (تدعم Dify v1.6.0) بواسطة @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### استخدام Terraform للتوزيع

@ -204,6 +204,8 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 নতুন! YAML ফাইলসমূহ (Dify v1.6.0 সমর্থিত) তৈরি করেছেন @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### টেরাফর্ম ব্যবহার করে ডিপ্লয়

@ -194,9 +194,9 @@ docker compose up -d
如果您需要自定义配置,请参考 [.env.example](docker/.env.example) 文件中的注释,并更新 `.env` 文件中对应的值。此外,您可能需要根据您的具体部署环境和需求对 `docker-compose.yaml` 文件本身进行调整,例如更改镜像版本、端口映射或卷挂载。完成任何更改后,请重新运行 `docker-compose up -d`。您可以在[此处](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用环境变量的完整列表。
#### 使用 Helm Chart 部署
#### 使用 Helm Chart 或 Kubernetes 资源清单YAML部署
使用 [Helm Chart](https://helm.sh/) 版本或者 YAML 文件,可以在 Kubernetes 上部署 Dify。
使用 [Helm Chart](https://helm.sh/) 版本或者 Kubernetes 资源清单YAML,可以在 Kubernetes 上部署 Dify。
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
@ -204,6 +204,10 @@ docker compose up -d
- [YAML 文件 by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML 文件 (支持 Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### 使用 Terraform 部署
使用 [terraform](https://www.terraform.io/) 一键将 Dify 部署到云平台

@ -203,6 +203,7 @@ Falls Sie eine hochverfügbare Konfiguration einrichten möchten, gibt es von de
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Terraform für die Bereitstellung verwenden

@ -203,6 +203,7 @@ Si desea configurar una configuración de alta disponibilidad, la comunidad prop
- [Gráfico Helm por @magicsong](https://github.com/magicsong/ai-charts)
- [Ficheros YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [Ficheros YAML por @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 ¡NUEVO! Archivos YAML (compatible con Dify v1.6.0) por @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Uso de Terraform para el despliegue

@ -201,6 +201,7 @@ Si vous souhaitez configurer une configuration haute disponibilité, la communau
- [Helm Chart par @magicsong](https://github.com/magicsong/ai-charts)
- [Fichier YAML par @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [Fichier YAML par @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NOUVEAU ! Fichiers YAML (compatible avec Dify v1.6.0) par @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Utilisation de Terraform pour le déploiement

@ -202,6 +202,7 @@ docker compose up -d
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 新着YAML ファイルDify v1.6.0 対応by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Terraformを使用したデプロイ

@ -201,6 +201,7 @@ If you'd like to configure a highly-available setup, there are community-contrib
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Terraform atorlugu pilersitsineq

@ -195,6 +195,7 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Terraform을 사용한 배포

@ -200,6 +200,7 @@ Se deseja configurar uma instalação de alta disponibilidade, há [Helm Charts]
- [Helm Chart de @magicsong](https://github.com/magicsong/ai-charts)
- [Arquivo YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [Arquivo YAML por @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NOVO! Arquivos YAML (Compatível com Dify v1.6.0) por @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Usando o Terraform para Implantação

@ -201,6 +201,7 @@ Star Dify on GitHub and be instantly notified of new releases.
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Uporaba Terraform za uvajanje

@ -194,6 +194,7 @@ Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'
- [@BorisPolonsky tarafından Helm Chart](https://github.com/BorisPolonsky/dify-helm)
- [@Winson-030 tarafından YAML dosyası](https://github.com/Winson-030/dify-kubernetes)
- [@wyy-holding tarafından YAML dosyası](https://github.com/wyy-holding/dify-k8s)
- [🚀 YENİ! YAML dosyaları (Dify v1.6.0 destekli) @Zhoneym tarafından](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Dağıtım için Terraform Kullanımı

@ -197,12 +197,13 @@ Dify 的所有功能都提供相應的 API因此您可以輕鬆地將 Dify
如果您需要自定義配置,請參考我們的 [.env.example](docker/.env.example) 文件中的註釋,並在您的 `.env` 文件中更新相應的值。此外,根據您特定的部署環境和需求,您可能需要調整 `docker-compose.yaml` 文件本身,例如更改映像版本、端口映射或卷掛載。進行任何更改後,請重新運行 `docker-compose up -d`。您可以在[這裡](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用環境變數的完整列表。
如果您想配置高可用性設置,社區貢獻的 [Helm Charts](https://helm.sh/) 和 YAML 文件允許在 Kubernetes 上部署 Dify。
如果您想配置高可用性設置,社區貢獻的 [Helm Charts](https://helm.sh/) 和 Kubernetes 資源清單YAML允許在 Kubernetes 上部署 Dify。
- [由 @LeoQuote 提供的 Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
- [由 @BorisPolonsky 提供的 Helm Chart](https://github.com/BorisPolonsky/dify-helm)
- [由 @Winson-030 提供的 YAML 文件](https://github.com/Winson-030/dify-kubernetes)
- [由 @wyy-holding 提供的 YAML 文件](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML 檔案(支援 Dify v1.6.0by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
### 使用 Terraform 進行部署

@ -196,6 +196,7 @@ Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có
- [Helm Chart bởi @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Tệp YAML bởi @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [Tệp YAML bởi @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 MỚI! Tệp YAML (Hỗ trợ Dify v1.6.0) bởi @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Sử dụng Terraform để Triển khai

@ -17,6 +17,11 @@ APP_WEB_URL=http://127.0.0.1:3000
# Files URL
FILES_URL=http://127.0.0.1:5001
# INTERNAL_FILES_URL is used for plugin daemon communication within Docker network.
# Set this to the internal Docker service URL for proper plugin file access.
# Example: INTERNAL_FILES_URL=http://api:5001
INTERNAL_FILES_URL=http://127.0.0.1:5001
# The time in seconds after the signature is rejected
FILES_ACCESS_TIMEOUT=300
@ -444,6 +449,19 @@ MAX_VARIABLE_SIZE=204800
# hybrid: Save new data to object storage, read from both object storage and RDBMS
WORKFLOW_NODE_EXECUTION_STORAGE=rdbms
# Repository configuration
# Core workflow execution repository implementation
CORE_WORKFLOW_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository
# Core workflow node execution repository implementation
CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository
# API workflow node execution repository implementation
API_WORKFLOW_NODE_EXECUTION_REPOSITORY=repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository
# API workflow run repository implementation
API_WORKFLOW_RUN_REPOSITORY=repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository
# App configuration
APP_MAX_EXECUTION_TIME=1200
APP_MAX_ACTIVE_REQUESTS=0

@ -237,6 +237,13 @@ class FileAccessConfig(BaseSettings):
default="",
)
INTERNAL_FILES_URL: str = Field(
description="Internal base URL for file access within Docker network,"
" used for plugin daemon and internal service communication."
" Falls back to FILES_URL if not specified.",
default="",
)
FILES_ACCESS_TIMEOUT: int = Field(
description="Expiration time in seconds for file access URLs",
default=300,
@ -530,6 +537,33 @@ class WorkflowNodeExecutionConfig(BaseSettings):
)
class RepositoryConfig(BaseSettings):
"""
Configuration for repository implementations
"""
CORE_WORKFLOW_EXECUTION_REPOSITORY: str = Field(
description="Repository implementation for WorkflowExecution. Specify as a module path",
default="core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository",
)
CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
description="Repository implementation for WorkflowNodeExecution. Specify as a module path",
default="core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository",
)
API_WORKFLOW_NODE_EXECUTION_REPOSITORY: str = Field(
description="Service-layer repository implementation for WorkflowNodeExecutionModel operations. "
"Specify as a module path",
default="repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository",
)
API_WORKFLOW_RUN_REPOSITORY: str = Field(
description="Service-layer repository implementation for WorkflowRun operations. Specify as a module path",
default="repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository",
)
class AuthConfig(BaseSettings):
"""
Configuration for authentication and OAuth
@ -896,6 +930,7 @@ class FeatureConfig(
MultiModalTransferConfig,
PositionConfig,
RagEtlConfig,
RepositoryConfig,
SecurityConfig,
ToolConfig,
UpdateConfig,

@ -56,6 +56,7 @@ from .app import (
conversation,
conversation_variables,
generator,
mcp_server,
message,
model_config,
ops_trace,

@ -0,0 +1,107 @@
import json
from enum import StrEnum
from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse
from werkzeug.exceptions import NotFound
from controllers.console import api
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_server_fields
from libs.login import login_required
from models.model import AppMCPServer
class AppMCPServerStatus(StrEnum):
ACTIVE = "active"
INACTIVE = "inactive"
class AppMCPServerController(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_server_fields)
def get(self, app_model):
server = db.session.query(AppMCPServer).filter(AppMCPServer.app_id == app_model.id).first()
return server
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_server_fields)
def post(self, app_model):
# The role of the current user in the ta table must be editor, admin, or owner
if not current_user.is_editor:
raise NotFound()
parser = reqparse.RequestParser()
parser.add_argument("description", type=str, required=True, location="json")
parser.add_argument("parameters", type=dict, required=True, location="json")
args = parser.parse_args()
server = AppMCPServer(
name=app_model.name,
description=args["description"],
parameters=json.dumps(args["parameters"], ensure_ascii=False),
status=AppMCPServerStatus.ACTIVE,
app_id=app_model.id,
tenant_id=current_user.current_tenant_id,
server_code=AppMCPServer.generate_server_code(16),
)
db.session.add(server)
db.session.commit()
return server
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_server_fields)
def put(self, app_model):
if not current_user.is_editor:
raise NotFound()
parser = reqparse.RequestParser()
parser.add_argument("id", type=str, required=True, location="json")
parser.add_argument("description", type=str, required=True, location="json")
parser.add_argument("parameters", type=dict, required=True, location="json")
parser.add_argument("status", type=str, required=False, location="json")
args = parser.parse_args()
server = db.session.query(AppMCPServer).filter(AppMCPServer.id == args["id"]).first()
if not server:
raise NotFound()
server.description = args["description"]
server.parameters = json.dumps(args["parameters"], ensure_ascii=False)
if args["status"]:
if args["status"] not in [status.value for status in AppMCPServerStatus]:
raise ValueError("Invalid status")
server.status = args["status"]
db.session.commit()
return server
class AppMCPServerRefreshController(Resource):
@setup_required
@login_required
@account_initialization_required
@marshal_with(app_server_fields)
def get(self, server_id):
if not current_user.is_editor:
raise NotFound()
server = (
db.session.query(AppMCPServer)
.filter(AppMCPServer.id == server_id)
.filter(AppMCPServer.tenant_id == current_user.current_tenant_id)
.first()
)
if not server:
raise NotFound()
server.server_code = AppMCPServer.generate_server_code(16)
db.session.commit()
return server
api.add_resource(AppMCPServerController, "/apps/<uuid:app_id>/server")
api.add_resource(AppMCPServerRefreshController, "/apps/<uuid:server_id>/server/refresh")

@ -2,6 +2,7 @@ from datetime import datetime
from decimal import Decimal
import pytz
import sqlalchemy as sa
from flask import jsonify
from flask_login import current_user
from flask_restful import Resource, reqparse
@ -9,10 +10,11 @@ from flask_restful import Resource, reqparse
from controllers.console import api
from controllers.console.app.wraps import get_app_model
from controllers.console.wraps import account_initialization_required, setup_required
from core.app.entities.app_invoke_entities import InvokeFrom
from extensions.ext_database import db
from libs.helper import DatetimeString
from libs.login import login_required
from models.model import AppMode
from models import AppMode, Message
class DailyMessageStatistic(Resource):
@ -85,46 +87,41 @@ class DailyConversationStatistic(Resource):
parser.add_argument("end", type=DatetimeString("%Y-%m-%d %H:%M"), location="args")
args = parser.parse_args()
sql_query = """SELECT
DATE(DATE_TRUNC('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz )) AS date,
COUNT(DISTINCT messages.conversation_id) AS conversation_count
FROM
messages
WHERE
app_id = :app_id"""
arg_dict = {"tz": account.timezone, "app_id": app_model.id}
timezone = pytz.timezone(account.timezone)
utc_timezone = pytz.utc
stmt = (
sa.select(
sa.func.date(
sa.func.date_trunc("day", sa.text("created_at AT TIME ZONE 'UTC' AT TIME ZONE :tz"))
).label("date"),
sa.func.count(sa.distinct(Message.conversation_id)).label("conversation_count"),
)
.select_from(Message)
.where(Message.app_id == app_model.id, Message.invoke_from != InvokeFrom.DEBUGGER.value)
)
if args["start"]:
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
start_datetime = start_datetime.replace(second=0)
start_datetime_timezone = timezone.localize(start_datetime)
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
sql_query += " AND created_at >= :start"
arg_dict["start"] = start_datetime_utc
stmt = stmt.where(Message.created_at >= start_datetime_utc)
if args["end"]:
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
end_datetime = end_datetime.replace(second=0)
end_datetime_timezone = timezone.localize(end_datetime)
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
stmt = stmt.where(Message.created_at < end_datetime_utc)
sql_query += " AND created_at < :end"
arg_dict["end"] = end_datetime_utc
sql_query += " GROUP BY date ORDER BY date"
stmt = stmt.group_by("date").order_by("date")
response_data = []
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({"date": str(i.date), "conversation_count": i.conversation_count})
rs = conn.execute(stmt, {"tz": account.timezone})
for row in rs:
response_data.append({"date": str(row.date), "conversation_count": row.conversation_count})
return jsonify({"data": response_data})

@ -35,8 +35,6 @@ def get_app_model(view: Optional[Callable] = None, *, mode: Union[AppMode, list[
raise AppNotFoundError()
app_mode = AppMode.value_of(app_model.mode)
if app_mode == AppMode.CHANNEL:
raise AppNotFoundError()
if mode is not None:
if isinstance(mode, list):

@ -1,6 +1,7 @@
import io
from urllib.parse import urlparse
from flask import send_file
from flask import redirect, send_file
from flask_login import current_user
from flask_restful import Resource, reqparse
from sqlalchemy.orm import Session
@ -9,17 +10,34 @@ from werkzeug.exceptions import Forbidden
from configs import dify_config
from controllers.console import api
from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
from core.mcp.auth.auth_flow import auth, handle_callback
from core.mcp.auth.auth_provider import OAuthClientProvider
from core.mcp.error import MCPAuthError, MCPError
from core.mcp.mcp_client import MCPClient
from core.model_runtime.utils.encoders import jsonable_encoder
from extensions.ext_database import db
from libs.helper import alphanumeric, uuid_value
from libs.login import login_required
from services.tools.api_tools_manage_service import ApiToolManageService
from services.tools.builtin_tools_manage_service import BuiltinToolManageService
from services.tools.mcp_tools_mange_service import MCPToolManageService
from services.tools.tool_labels_service import ToolLabelsService
from services.tools.tools_manage_service import ToolCommonService
from services.tools.tools_transform_service import ToolTransformService
from services.tools.workflow_tools_manage_service import WorkflowToolManageService
def is_valid_url(url: str) -> bool:
if not url:
return False
try:
parsed = urlparse(url)
return all([parsed.scheme, parsed.netloc]) and parsed.scheme in ["http", "https"]
except Exception:
return False
class ToolProviderListApi(Resource):
@setup_required
@login_required
@ -34,7 +52,7 @@ class ToolProviderListApi(Resource):
req.add_argument(
"type",
type=str,
choices=["builtin", "model", "api", "workflow"],
choices=["builtin", "model", "api", "workflow", "mcp"],
required=False,
nullable=True,
location="args",
@ -613,6 +631,166 @@ class ToolLabelsApi(Resource):
return jsonable_encoder(ToolLabelsService.list_tool_labels())
class ToolProviderMCPApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("server_url", type=str, required=True, nullable=False, location="json")
parser.add_argument("name", type=str, required=True, nullable=False, location="json")
parser.add_argument("icon", type=str, required=True, nullable=False, location="json")
parser.add_argument("icon_type", type=str, required=True, nullable=False, location="json")
parser.add_argument("icon_background", type=str, required=False, nullable=True, location="json", default="")
parser.add_argument("server_identifier", type=str, required=True, nullable=False, location="json")
args = parser.parse_args()
user = current_user
if not is_valid_url(args["server_url"]):
raise ValueError("Server URL is not valid.")
return jsonable_encoder(
MCPToolManageService.create_mcp_provider(
tenant_id=user.current_tenant_id,
server_url=args["server_url"],
name=args["name"],
icon=args["icon"],
icon_type=args["icon_type"],
icon_background=args["icon_background"],
user_id=user.id,
server_identifier=args["server_identifier"],
)
)
@setup_required
@login_required
@account_initialization_required
def put(self):
parser = reqparse.RequestParser()
parser.add_argument("server_url", type=str, required=True, nullable=False, location="json")
parser.add_argument("name", type=str, required=True, nullable=False, location="json")
parser.add_argument("icon", type=str, required=True, nullable=False, location="json")
parser.add_argument("icon_type", type=str, required=True, nullable=False, location="json")
parser.add_argument("icon_background", type=str, required=False, nullable=True, location="json")
parser.add_argument("provider_id", type=str, required=True, nullable=False, location="json")
parser.add_argument("server_identifier", type=str, required=True, nullable=False, location="json")
args = parser.parse_args()
if not is_valid_url(args["server_url"]):
if "[__HIDDEN__]" in args["server_url"]:
pass
else:
raise ValueError("Server URL is not valid.")
MCPToolManageService.update_mcp_provider(
tenant_id=current_user.current_tenant_id,
provider_id=args["provider_id"],
server_url=args["server_url"],
name=args["name"],
icon=args["icon"],
icon_type=args["icon_type"],
icon_background=args["icon_background"],
server_identifier=args["server_identifier"],
)
return {"result": "success"}
@setup_required
@login_required
@account_initialization_required
def delete(self):
parser = reqparse.RequestParser()
parser.add_argument("provider_id", type=str, required=True, nullable=False, location="json")
args = parser.parse_args()
MCPToolManageService.delete_mcp_tool(tenant_id=current_user.current_tenant_id, provider_id=args["provider_id"])
return {"result": "success"}
class ToolMCPAuthApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("provider_id", type=str, required=True, nullable=False, location="json")
parser.add_argument("authorization_code", type=str, required=False, nullable=True, location="json")
args = parser.parse_args()
provider_id = args["provider_id"]
tenant_id = current_user.current_tenant_id
provider = MCPToolManageService.get_mcp_provider_by_provider_id(provider_id, tenant_id)
if not provider:
raise ValueError("provider not found")
try:
with MCPClient(
provider.decrypted_server_url,
provider_id,
tenant_id,
authed=False,
authorization_code=args["authorization_code"],
for_list=True,
):
MCPToolManageService.update_mcp_provider_credentials(
mcp_provider=provider,
credentials=provider.decrypted_credentials,
authed=True,
)
return {"result": "success"}
except MCPAuthError:
auth_provider = OAuthClientProvider(provider_id, tenant_id, for_list=True)
return auth(auth_provider, provider.decrypted_server_url, args["authorization_code"])
except MCPError as e:
MCPToolManageService.update_mcp_provider_credentials(
mcp_provider=provider,
credentials={},
authed=False,
)
raise ValueError(f"Failed to connect to MCP server: {e}") from e
class ToolMCPDetailApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, provider_id):
user = current_user
provider = MCPToolManageService.get_mcp_provider_by_provider_id(provider_id, user.current_tenant_id)
return jsonable_encoder(ToolTransformService.mcp_provider_to_user_provider(provider, for_list=True))
class ToolMCPListAllApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self):
user = current_user
tenant_id = user.current_tenant_id
tools = MCPToolManageService.retrieve_mcp_tools(tenant_id=tenant_id)
return [tool.to_dict() for tool in tools]
class ToolMCPUpdateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def get(self, provider_id):
tenant_id = current_user.current_tenant_id
tools = MCPToolManageService.list_mcp_tool_from_remote_server(
tenant_id=tenant_id,
provider_id=provider_id,
)
return jsonable_encoder(tools)
class ToolMCPCallbackApi(Resource):
def get(self):
parser = reqparse.RequestParser()
parser.add_argument("code", type=str, required=True, nullable=False, location="args")
parser.add_argument("state", type=str, required=True, nullable=False, location="args")
args = parser.parse_args()
state_key = args["state"]
authorization_code = args["code"]
handle_callback(state_key, authorization_code)
return redirect(f"{dify_config.CONSOLE_WEB_URL}/oauth-callback")
# tool provider
api.add_resource(ToolProviderListApi, "/workspaces/current/tool-providers")
@ -647,8 +825,15 @@ api.add_resource(ToolWorkflowProviderDeleteApi, "/workspaces/current/tool-provid
api.add_resource(ToolWorkflowProviderGetApi, "/workspaces/current/tool-provider/workflow/get")
api.add_resource(ToolWorkflowProviderListToolApi, "/workspaces/current/tool-provider/workflow/tools")
# mcp tool provider
api.add_resource(ToolMCPDetailApi, "/workspaces/current/tool-provider/mcp/tools/<path:provider_id>")
api.add_resource(ToolProviderMCPApi, "/workspaces/current/tool-provider/mcp")
api.add_resource(ToolMCPUpdateApi, "/workspaces/current/tool-provider/mcp/update/<path:provider_id>")
api.add_resource(ToolMCPAuthApi, "/workspaces/current/tool-provider/mcp/auth")
api.add_resource(ToolMCPCallbackApi, "/mcp/oauth/callback")
api.add_resource(ToolBuiltinListApi, "/workspaces/current/tools/builtin")
api.add_resource(ToolApiListApi, "/workspaces/current/tools/api")
api.add_resource(ToolMCPListAllApi, "/workspaces/current/tools/mcp")
api.add_resource(ToolWorkflowListApi, "/workspaces/current/tools/workflow")
api.add_resource(ToolLabelsApi, "/workspaces/current/tool-labels")

@ -0,0 +1,8 @@
from flask import Blueprint
from libs.external_api import ExternalApi
bp = Blueprint("mcp", __name__, url_prefix="/mcp")
api = ExternalApi(bp)
from . import mcp

@ -0,0 +1,104 @@
from flask_restful import Resource, reqparse
from pydantic import ValidationError
from controllers.console.app.mcp_server import AppMCPServerStatus
from controllers.mcp import api
from core.app.app_config.entities import VariableEntity
from core.mcp import types
from core.mcp.server.streamable_http import MCPServerStreamableHTTPRequestHandler
from core.mcp.types import ClientNotification, ClientRequest
from core.mcp.utils import create_mcp_error_response
from extensions.ext_database import db
from libs import helper
from models.model import App, AppMCPServer, AppMode
class MCPAppApi(Resource):
def post(self, server_code):
def int_or_str(value):
if isinstance(value, (int, str)):
return value
else:
return None
parser = reqparse.RequestParser()
parser.add_argument("jsonrpc", type=str, required=True, location="json")
parser.add_argument("method", type=str, required=True, location="json")
parser.add_argument("params", type=dict, required=False, location="json")
parser.add_argument("id", type=int_or_str, required=False, location="json")
args = parser.parse_args()
request_id = args.get("id")
server = db.session.query(AppMCPServer).filter(AppMCPServer.server_code == server_code).first()
if not server:
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_REQUEST, "Server Not Found")
)
if server.status != AppMCPServerStatus.ACTIVE:
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_REQUEST, "Server is not active")
)
app = db.session.query(App).filter(App.id == server.app_id).first()
if not app:
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_REQUEST, "App Not Found")
)
if app.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
workflow = app.workflow
if workflow is None:
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_REQUEST, "App is unavailable")
)
user_input_form = workflow.user_input_form(to_old_structure=True)
else:
app_model_config = app.app_model_config
if app_model_config is None:
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_REQUEST, "App is unavailable")
)
features_dict = app_model_config.to_dict()
user_input_form = features_dict.get("user_input_form", [])
converted_user_input_form: list[VariableEntity] = []
try:
for item in user_input_form:
variable_type = item.get("type", "") or list(item.keys())[0]
variable = item[variable_type]
converted_user_input_form.append(
VariableEntity(
type=variable_type,
variable=variable.get("variable"),
description=variable.get("description") or "",
label=variable.get("label"),
required=variable.get("required", False),
max_length=variable.get("max_length"),
options=variable.get("options") or [],
)
)
except ValidationError as e:
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_PARAMS, f"Invalid user_input_form: {str(e)}")
)
try:
request: ClientRequest | ClientNotification = ClientRequest.model_validate(args)
except ValidationError as e:
try:
notification = ClientNotification.model_validate(args)
request = notification
except ValidationError as e:
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_PARAMS, f"Invalid MCP request: {str(e)}")
)
mcp_server_handler = MCPServerStreamableHTTPRequestHandler(app, request, converted_user_input_form)
response = mcp_server_handler.handle()
return helper.compact_generate_response(response)
api.add_resource(MCPAppApi, "/server/<string:server_code>/mcp")

@ -3,7 +3,7 @@ import logging
from dateutil.parser import isoparse
from flask_restful import Resource, fields, marshal_with, reqparse
from flask_restful.inputs import int_range
from sqlalchemy.orm import Session
from sqlalchemy.orm import Session, sessionmaker
from werkzeug.exceptions import InternalServerError
from controllers.service_api import api
@ -30,7 +30,7 @@ from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
from libs import helper
from libs.helper import TimestampField
from models.model import App, AppMode, EndUser
from models.workflow import WorkflowRun
from repositories.factory import DifyAPIRepositoryFactory
from services.app_generate_service import AppGenerateService
from services.errors.llm import InvokeRateLimitError
from services.workflow_app_service import WorkflowAppService
@ -63,7 +63,15 @@ class WorkflowRunDetailApi(Resource):
if app_mode not in [AppMode.WORKFLOW, AppMode.ADVANCED_CHAT]:
raise NotWorkflowAppError()
workflow_run = db.session.query(WorkflowRun).filter(WorkflowRun.id == workflow_run_id).first()
# Use repository to get workflow run
session_maker = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_run_repo = DifyAPIRepositoryFactory.create_api_workflow_run_repository(session_maker)
workflow_run = workflow_run_repo.get_workflow_run_by_id(
tenant_id=app_model.tenant_id,
app_id=app_model.id,
run_id=workflow_run_id,
)
return workflow_run

@ -3,6 +3,8 @@ import logging
import uuid
from typing import Optional, Union, cast
from sqlalchemy import select
from core.agent.entities import AgentEntity, AgentToolEntity
from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfig
@ -161,10 +163,14 @@ class BaseAgentRunner(AppRunner):
if parameter.type == ToolParameter.ToolParameterType.SELECT:
enum = [option.value for option in parameter.options] if parameter.options else []
message_tool.parameters["properties"][parameter.name] = {
"type": parameter_type,
"description": parameter.llm_description or "",
}
message_tool.parameters["properties"][parameter.name] = (
{
"type": parameter_type,
"description": parameter.llm_description or "",
}
if parameter.input_schema is None
else parameter.input_schema
)
if len(enum) > 0:
message_tool.parameters["properties"][parameter.name]["enum"] = enum
@ -254,10 +260,14 @@ class BaseAgentRunner(AppRunner):
if parameter.type == ToolParameter.ToolParameterType.SELECT:
enum = [option.value for option in parameter.options] if parameter.options else []
prompt_tool.parameters["properties"][parameter.name] = {
"type": parameter_type,
"description": parameter.llm_description or "",
}
prompt_tool.parameters["properties"][parameter.name] = (
{
"type": parameter_type,
"description": parameter.llm_description or "",
}
if parameter.input_schema is None
else parameter.input_schema
)
if len(enum) > 0:
prompt_tool.parameters["properties"][parameter.name]["enum"] = enum
@ -409,12 +419,15 @@ class BaseAgentRunner(AppRunner):
if isinstance(prompt_message, SystemPromptMessage):
result.append(prompt_message)
messages: list[Message] = (
db.session.query(Message)
.filter(
Message.conversation_id == self.message.conversation_id,
messages = (
(
db.session.execute(
select(Message)
.where(Message.conversation_id == self.message.conversation_id)
.order_by(Message.created_at.desc())
)
)
.order_by(Message.created_at.desc())
.scalars()
.all()
)

@ -85,7 +85,7 @@ class AgentStrategyEntity(BaseModel):
description: I18nObject = Field(..., description="The description of the agent strategy")
output_schema: Optional[dict] = None
features: Optional[list[AgentFeature]] = None
meta_version: Optional[str] = None
# pydantic configs
model_config = ConfigDict(protected_namespaces=())

@ -15,10 +15,12 @@ class PluginAgentStrategy(BaseAgentStrategy):
tenant_id: str
declaration: AgentStrategyEntity
meta_version: str | None = None
def __init__(self, tenant_id: str, declaration: AgentStrategyEntity):
def __init__(self, tenant_id: str, declaration: AgentStrategyEntity, meta_version: str | None):
self.tenant_id = tenant_id
self.declaration = declaration
self.meta_version = meta_version
def get_parameters(self) -> Sequence[AgentStrategyParameter]:
return self.declaration.parameters

@ -25,8 +25,7 @@ from core.app.entities.task_entities import ChatbotAppBlockingResponse, ChatbotA
from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.ops.ops_trace_manager import TraceQueueManager
from core.prompt.utils.get_thread_messages_length import get_thread_messages_length
from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository
from core.repositories import DifyCoreRepositoryFactory
from core.workflow.repositories.draft_variable_repository import (
DraftVariableSaverFactory,
)
@ -183,14 +182,14 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
workflow_triggered_from = WorkflowRunTriggeredFrom.DEBUGGING
else:
workflow_triggered_from = WorkflowRunTriggeredFrom.APP_RUN
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=workflow_triggered_from,
)
# Create workflow node execution repository
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
@ -260,14 +259,14 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
# Create session factory
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
# Create workflow execution(aka workflow run) repository
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
)
# Create workflow node execution repository
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
@ -343,14 +342,14 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
# Create session factory
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
# Create workflow execution(aka workflow run) repository
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
)
# Create workflow node execution repository
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,

@ -23,8 +23,7 @@ from core.app.entities.app_invoke_entities import InvokeFrom, WorkflowAppGenerat
from core.app.entities.task_entities import WorkflowAppBlockingResponse, WorkflowAppStreamResponse
from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.ops.ops_trace_manager import TraceQueueManager
from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
from core.repositories.sqlalchemy_workflow_execution_repository import SQLAlchemyWorkflowExecutionRepository
from core.repositories import DifyCoreRepositoryFactory
from core.workflow.repositories.draft_variable_repository import DraftVariableSaverFactory
from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
@ -156,14 +155,14 @@ class WorkflowAppGenerator(BaseAppGenerator):
workflow_triggered_from = WorkflowRunTriggeredFrom.DEBUGGING
else:
workflow_triggered_from = WorkflowRunTriggeredFrom.APP_RUN
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=workflow_triggered_from,
)
# Create workflow node execution repository
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
@ -306,16 +305,14 @@ class WorkflowAppGenerator(BaseAppGenerator):
# Create session factory
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
# Create workflow execution(aka workflow run) repository
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
)
# Create workflow node execution repository
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
@ -390,16 +387,14 @@ class WorkflowAppGenerator(BaseAppGenerator):
# Create session factory
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
# Create workflow execution(aka workflow run) repository
workflow_execution_repository = SQLAlchemyWorkflowExecutionRepository(
workflow_execution_repository = DifyCoreRepositoryFactory.create_workflow_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,
triggered_from=WorkflowRunTriggeredFrom.DEBUGGING,
)
# Create workflow node execution repository
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=user,
app_id=application_generate_entity.app_config.app_id,

@ -3,7 +3,6 @@ import time
from collections.abc import Generator
from typing import Optional, Union
from sqlalchemy import select
from sqlalchemy.orm import Session
from constants.tts_auto_play_timeout import TTS_AUTO_PLAY_TIMEOUT, TTS_AUTO_PLAY_YIELD_CPU_TIME
@ -68,7 +67,6 @@ from models.workflow import (
Workflow,
WorkflowAppLog,
WorkflowAppLogCreatedFrom,
WorkflowRun,
)
logger = logging.getLogger(__name__)
@ -562,8 +560,6 @@ class WorkflowAppGenerateTaskPipeline:
tts_publisher.publish(None)
def _save_workflow_app_log(self, *, session: Session, workflow_execution: WorkflowExecution) -> None:
workflow_run = session.scalar(select(WorkflowRun).where(WorkflowRun.id == workflow_execution.id_))
assert workflow_run is not None
invoke_from = self._application_generate_entity.invoke_from
if invoke_from == InvokeFrom.SERVICE_API:
created_from = WorkflowAppLogCreatedFrom.SERVICE_API
@ -576,10 +572,10 @@ class WorkflowAppGenerateTaskPipeline:
return
workflow_app_log = WorkflowAppLog()
workflow_app_log.tenant_id = workflow_run.tenant_id
workflow_app_log.app_id = workflow_run.app_id
workflow_app_log.workflow_id = workflow_run.workflow_id
workflow_app_log.workflow_run_id = workflow_run.id
workflow_app_log.tenant_id = self._application_generate_entity.app_config.tenant_id
workflow_app_log.app_id = self._application_generate_entity.app_config.app_id
workflow_app_log.workflow_id = workflow_execution.workflow_id
workflow_app_log.workflow_run_id = workflow_execution.id_
workflow_app_log.created_from = created_from.value
workflow_app_log.created_by_role = self._created_by_role
workflow_app_log.created_by = self._user_id

@ -21,6 +21,9 @@ class CommonParameterType(StrEnum):
DYNAMIC_SELECT = "dynamic-select"
# TOOL_SELECTOR = "tool-selector"
# MCP object and array type parameters
ARRAY = "array"
OBJECT = "object"
class AppSelectorScope(StrEnum):

@ -21,7 +21,9 @@ def get_signed_file_url(upload_file_id: str) -> str:
def get_signed_file_url_for_plugin(filename: str, mimetype: str, tenant_id: str, user_id: str) -> str:
url = f"{dify_config.FILES_URL}/files/upload/for-plugin"
# Plugin access should use internal URL for Docker network communication
base_url = dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL
url = f"{base_url}/files/upload/for-plugin"
if user_id is None:
user_id = "DEFAULT-USER"

@ -5,6 +5,8 @@ from base64 import b64encode
from collections.abc import Mapping
from typing import Any
from core.variables.utils import SegmentJSONEncoder
class TemplateTransformer(ABC):
_code_placeholder: str = "{{code}}"
@ -43,17 +45,13 @@ class TemplateTransformer(ABC):
result_str = cls.extract_result_str_from_response(response)
result = json.loads(result_str)
except json.JSONDecodeError as e:
raise ValueError(f"Failed to parse JSON response: {str(e)}. Response content: {result_str[:200]}...")
raise ValueError(f"Failed to parse JSON response: {str(e)}.")
except ValueError as e:
# Re-raise ValueError from extract_result_str_from_response
raise e
except Exception as e:
raise ValueError(f"Unexpected error during response transformation: {str(e)}")
# Check if the result contains an error
if isinstance(result, dict) and "error" in result:
raise ValueError(f"JavaScript execution error: {result['error']}")
if not isinstance(result, dict):
raise ValueError(f"Result must be a dict, got {type(result).__name__}")
if not all(isinstance(k, str) for k in result):
@ -95,7 +93,7 @@ class TemplateTransformer(ABC):
@classmethod
def serialize_inputs(cls, inputs: Mapping[str, Any]) -> str:
inputs_json_str = json.dumps(inputs, ensure_ascii=False).encode()
inputs_json_str = json.dumps(inputs, ensure_ascii=False, cls=SegmentJSONEncoder).encode()
input_base64_encoded = b64encode(inputs_json_str).decode("utf-8")
return input_base64_encoded

@ -0,0 +1,342 @@
import base64
import hashlib
import json
import os
import secrets
import urllib.parse
from typing import Optional
from urllib.parse import urljoin
import requests
from pydantic import BaseModel, ValidationError
from core.mcp.auth.auth_provider import OAuthClientProvider
from core.mcp.types import (
OAuthClientInformation,
OAuthClientInformationFull,
OAuthClientMetadata,
OAuthMetadata,
OAuthTokens,
)
from extensions.ext_redis import redis_client
LATEST_PROTOCOL_VERSION = "1.0"
OAUTH_STATE_EXPIRY_SECONDS = 5 * 60 # 5 minutes expiry
OAUTH_STATE_REDIS_KEY_PREFIX = "oauth_state:"
class OAuthCallbackState(BaseModel):
provider_id: str
tenant_id: str
server_url: str
metadata: OAuthMetadata | None = None
client_information: OAuthClientInformation
code_verifier: str
redirect_uri: str
def generate_pkce_challenge() -> tuple[str, str]:
"""Generate PKCE challenge and verifier."""
code_verifier = base64.urlsafe_b64encode(os.urandom(40)).decode("utf-8")
code_verifier = code_verifier.replace("=", "").replace("+", "-").replace("/", "_")
code_challenge_hash = hashlib.sha256(code_verifier.encode("utf-8")).digest()
code_challenge = base64.urlsafe_b64encode(code_challenge_hash).decode("utf-8")
code_challenge = code_challenge.replace("=", "").replace("+", "-").replace("/", "_")
return code_verifier, code_challenge
def _create_secure_redis_state(state_data: OAuthCallbackState) -> str:
"""Create a secure state parameter by storing state data in Redis and returning a random state key."""
# Generate a secure random state key
state_key = secrets.token_urlsafe(32)
# Store the state data in Redis with expiration
redis_key = f"{OAUTH_STATE_REDIS_KEY_PREFIX}{state_key}"
redis_client.setex(redis_key, OAUTH_STATE_EXPIRY_SECONDS, state_data.model_dump_json())
return state_key
def _retrieve_redis_state(state_key: str) -> OAuthCallbackState:
"""Retrieve and decode OAuth state data from Redis using the state key, then delete it."""
redis_key = f"{OAUTH_STATE_REDIS_KEY_PREFIX}{state_key}"
# Get state data from Redis
state_data = redis_client.get(redis_key)
if not state_data:
raise ValueError("State parameter has expired or does not exist")
# Delete the state data from Redis immediately after retrieval to prevent reuse
redis_client.delete(redis_key)
try:
# Parse and validate the state data
oauth_state = OAuthCallbackState.model_validate_json(state_data)
return oauth_state
except ValidationError as e:
raise ValueError(f"Invalid state parameter: {str(e)}")
def handle_callback(state_key: str, authorization_code: str) -> OAuthCallbackState:
"""Handle the callback from the OAuth provider."""
# Retrieve state data from Redis (state is automatically deleted after retrieval)
full_state_data = _retrieve_redis_state(state_key)
tokens = exchange_authorization(
full_state_data.server_url,
full_state_data.metadata,
full_state_data.client_information,
authorization_code,
full_state_data.code_verifier,
full_state_data.redirect_uri,
)
provider = OAuthClientProvider(full_state_data.provider_id, full_state_data.tenant_id, for_list=True)
provider.save_tokens(tokens)
return full_state_data
def discover_oauth_metadata(server_url: str, protocol_version: Optional[str] = None) -> Optional[OAuthMetadata]:
"""Looks up RFC 8414 OAuth 2.0 Authorization Server Metadata."""
url = urljoin(server_url, "/.well-known/oauth-authorization-server")
try:
headers = {"MCP-Protocol-Version": protocol_version or LATEST_PROTOCOL_VERSION}
response = requests.get(url, headers=headers)
if response.status_code == 404:
return None
if not response.ok:
raise ValueError(f"HTTP {response.status_code} trying to load well-known OAuth metadata")
return OAuthMetadata.model_validate(response.json())
except requests.RequestException as e:
if isinstance(e, requests.ConnectionError):
response = requests.get(url)
if response.status_code == 404:
return None
if not response.ok:
raise ValueError(f"HTTP {response.status_code} trying to load well-known OAuth metadata")
return OAuthMetadata.model_validate(response.json())
raise
def start_authorization(
server_url: str,
metadata: Optional[OAuthMetadata],
client_information: OAuthClientInformation,
redirect_url: str,
provider_id: str,
tenant_id: str,
) -> tuple[str, str]:
"""Begins the authorization flow with secure Redis state storage."""
response_type = "code"
code_challenge_method = "S256"
if metadata:
authorization_url = metadata.authorization_endpoint
if response_type not in metadata.response_types_supported:
raise ValueError(f"Incompatible auth server: does not support response type {response_type}")
if (
not metadata.code_challenge_methods_supported
or code_challenge_method not in metadata.code_challenge_methods_supported
):
raise ValueError(
f"Incompatible auth server: does not support code challenge method {code_challenge_method}"
)
else:
authorization_url = urljoin(server_url, "/authorize")
code_verifier, code_challenge = generate_pkce_challenge()
# Prepare state data with all necessary information
state_data = OAuthCallbackState(
provider_id=provider_id,
tenant_id=tenant_id,
server_url=server_url,
metadata=metadata,
client_information=client_information,
code_verifier=code_verifier,
redirect_uri=redirect_url,
)
# Store state data in Redis and generate secure state key
state_key = _create_secure_redis_state(state_data)
params = {
"response_type": response_type,
"client_id": client_information.client_id,
"code_challenge": code_challenge,
"code_challenge_method": code_challenge_method,
"redirect_uri": redirect_url,
"state": state_key,
}
authorization_url = f"{authorization_url}?{urllib.parse.urlencode(params)}"
return authorization_url, code_verifier
def exchange_authorization(
server_url: str,
metadata: Optional[OAuthMetadata],
client_information: OAuthClientInformation,
authorization_code: str,
code_verifier: str,
redirect_uri: str,
) -> OAuthTokens:
"""Exchanges an authorization code for an access token."""
grant_type = "authorization_code"
if metadata:
token_url = metadata.token_endpoint
if metadata.grant_types_supported and grant_type not in metadata.grant_types_supported:
raise ValueError(f"Incompatible auth server: does not support grant type {grant_type}")
else:
token_url = urljoin(server_url, "/token")
params = {
"grant_type": grant_type,
"client_id": client_information.client_id,
"code": authorization_code,
"code_verifier": code_verifier,
"redirect_uri": redirect_uri,
}
if client_information.client_secret:
params["client_secret"] = client_information.client_secret
response = requests.post(token_url, data=params)
if not response.ok:
raise ValueError(f"Token exchange failed: HTTP {response.status_code}")
return OAuthTokens.model_validate(response.json())
def refresh_authorization(
server_url: str,
metadata: Optional[OAuthMetadata],
client_information: OAuthClientInformation,
refresh_token: str,
) -> OAuthTokens:
"""Exchange a refresh token for an updated access token."""
grant_type = "refresh_token"
if metadata:
token_url = metadata.token_endpoint
if metadata.grant_types_supported and grant_type not in metadata.grant_types_supported:
raise ValueError(f"Incompatible auth server: does not support grant type {grant_type}")
else:
token_url = urljoin(server_url, "/token")
params = {
"grant_type": grant_type,
"client_id": client_information.client_id,
"refresh_token": refresh_token,
}
if client_information.client_secret:
params["client_secret"] = client_information.client_secret
response = requests.post(token_url, data=params)
if not response.ok:
raise ValueError(f"Token refresh failed: HTTP {response.status_code}")
return OAuthTokens.parse_obj(response.json())
def register_client(
server_url: str,
metadata: Optional[OAuthMetadata],
client_metadata: OAuthClientMetadata,
) -> OAuthClientInformationFull:
"""Performs OAuth 2.0 Dynamic Client Registration."""
if metadata:
if not metadata.registration_endpoint:
raise ValueError("Incompatible auth server: does not support dynamic client registration")
registration_url = metadata.registration_endpoint
else:
registration_url = urljoin(server_url, "/register")
response = requests.post(
registration_url,
json=client_metadata.model_dump(),
headers={"Content-Type": "application/json"},
)
if not response.ok:
response.raise_for_status()
return OAuthClientInformationFull.model_validate(response.json())
def auth(
provider: OAuthClientProvider,
server_url: str,
authorization_code: Optional[str] = None,
state_param: Optional[str] = None,
for_list: bool = False,
) -> dict[str, str]:
"""Orchestrates the full auth flow with a server using secure Redis state storage."""
metadata = discover_oauth_metadata(server_url)
# Handle client registration if needed
client_information = provider.client_information()
if not client_information:
if authorization_code is not None:
raise ValueError("Existing OAuth client information is required when exchanging an authorization code")
try:
full_information = register_client(server_url, metadata, provider.client_metadata)
except requests.RequestException as e:
raise ValueError(f"Could not register OAuth client: {e}")
provider.save_client_information(full_information)
client_information = full_information
# Exchange authorization code for tokens
if authorization_code is not None:
if not state_param:
raise ValueError("State parameter is required when exchanging authorization code")
try:
# Retrieve state data from Redis using state key
full_state_data = _retrieve_redis_state(state_param)
code_verifier = full_state_data.code_verifier
redirect_uri = full_state_data.redirect_uri
if not code_verifier or not redirect_uri:
raise ValueError("Missing code_verifier or redirect_uri in state data")
except (json.JSONDecodeError, ValueError) as e:
raise ValueError(f"Invalid state parameter: {e}")
tokens = exchange_authorization(
server_url,
metadata,
client_information,
authorization_code,
code_verifier,
redirect_uri,
)
provider.save_tokens(tokens)
return {"result": "success"}
provider_tokens = provider.tokens()
# Handle token refresh or new authorization
if provider_tokens and provider_tokens.refresh_token:
try:
new_tokens = refresh_authorization(server_url, metadata, client_information, provider_tokens.refresh_token)
provider.save_tokens(new_tokens)
return {"result": "success"}
except Exception as e:
raise ValueError(f"Could not refresh OAuth tokens: {e}")
# Start new authorization flow
authorization_url, code_verifier = start_authorization(
server_url,
metadata,
client_information,
provider.redirect_url,
provider.mcp_provider.id,
provider.mcp_provider.tenant_id,
)
provider.save_code_verifier(code_verifier)
return {"authorization_url": authorization_url}

@ -0,0 +1,81 @@
from typing import Optional
from configs import dify_config
from core.mcp.types import (
OAuthClientInformation,
OAuthClientInformationFull,
OAuthClientMetadata,
OAuthTokens,
)
from models.tools import MCPToolProvider
from services.tools.mcp_tools_mange_service import MCPToolManageService
LATEST_PROTOCOL_VERSION = "1.0"
class OAuthClientProvider:
mcp_provider: MCPToolProvider
def __init__(self, provider_id: str, tenant_id: str, for_list: bool = False):
if for_list:
self.mcp_provider = MCPToolManageService.get_mcp_provider_by_provider_id(provider_id, tenant_id)
else:
self.mcp_provider = MCPToolManageService.get_mcp_provider_by_server_identifier(provider_id, tenant_id)
@property
def redirect_url(self) -> str:
"""The URL to redirect the user agent to after authorization."""
return dify_config.CONSOLE_API_URL + "/console/api/mcp/oauth/callback"
@property
def client_metadata(self) -> OAuthClientMetadata:
"""Metadata about this OAuth client."""
return OAuthClientMetadata(
redirect_uris=[self.redirect_url],
token_endpoint_auth_method="none",
grant_types=["authorization_code", "refresh_token"],
response_types=["code"],
client_name="Dify",
client_uri="https://github.com/langgenius/dify",
)
def client_information(self) -> Optional[OAuthClientInformation]:
"""Loads information about this OAuth client."""
client_information = self.mcp_provider.decrypted_credentials.get("client_information", {})
if not client_information:
return None
return OAuthClientInformation.model_validate(client_information)
def save_client_information(self, client_information: OAuthClientInformationFull) -> None:
"""Saves client information after dynamic registration."""
MCPToolManageService.update_mcp_provider_credentials(
self.mcp_provider,
{"client_information": client_information.model_dump()},
)
def tokens(self) -> Optional[OAuthTokens]:
"""Loads any existing OAuth tokens for the current session."""
credentials = self.mcp_provider.decrypted_credentials
if not credentials:
return None
return OAuthTokens(
access_token=credentials.get("access_token", ""),
token_type=credentials.get("token_type", "Bearer"),
expires_in=int(credentials.get("expires_in", "3600") or 3600),
refresh_token=credentials.get("refresh_token", ""),
)
def save_tokens(self, tokens: OAuthTokens) -> None:
"""Stores new OAuth tokens for the current session."""
# update mcp provider credentials
token_dict = tokens.model_dump()
MCPToolManageService.update_mcp_provider_credentials(self.mcp_provider, token_dict, authed=True)
def save_code_verifier(self, code_verifier: str) -> None:
"""Saves a PKCE code verifier for the current session."""
MCPToolManageService.update_mcp_provider_credentials(self.mcp_provider, {"code_verifier": code_verifier})
def code_verifier(self) -> str:
"""Loads the PKCE code verifier for the current session."""
# get code verifier from mcp provider credentials
return str(self.mcp_provider.decrypted_credentials.get("code_verifier", ""))

@ -0,0 +1,361 @@
import logging
import queue
from collections.abc import Generator
from concurrent.futures import ThreadPoolExecutor
from contextlib import contextmanager
from typing import Any, TypeAlias, final
from urllib.parse import urljoin, urlparse
import httpx
from sseclient import SSEClient
from core.mcp import types
from core.mcp.error import MCPAuthError, MCPConnectionError
from core.mcp.types import SessionMessage
from core.mcp.utils import create_ssrf_proxy_mcp_http_client, ssrf_proxy_sse_connect
logger = logging.getLogger(__name__)
DEFAULT_QUEUE_READ_TIMEOUT = 3
@final
class _StatusReady:
def __init__(self, endpoint_url: str):
self._endpoint_url = endpoint_url
@final
class _StatusError:
def __init__(self, exc: Exception):
self._exc = exc
# Type aliases for better readability
ReadQueue: TypeAlias = queue.Queue[SessionMessage | Exception | None]
WriteQueue: TypeAlias = queue.Queue[SessionMessage | Exception | None]
StatusQueue: TypeAlias = queue.Queue[_StatusReady | _StatusError]
def remove_request_params(url: str) -> str:
"""Remove request parameters from URL, keeping only the path."""
return urljoin(url, urlparse(url).path)
class SSETransport:
"""SSE client transport implementation."""
def __init__(
self,
url: str,
headers: dict[str, Any] | None = None,
timeout: float = 5.0,
sse_read_timeout: float = 5 * 60,
) -> None:
"""Initialize the SSE transport.
Args:
url: The SSE endpoint URL.
headers: Optional headers to include in requests.
timeout: HTTP timeout for regular operations.
sse_read_timeout: Timeout for SSE read operations.
"""
self.url = url
self.headers = headers or {}
self.timeout = timeout
self.sse_read_timeout = sse_read_timeout
self.endpoint_url: str | None = None
def _validate_endpoint_url(self, endpoint_url: str) -> bool:
"""Validate that the endpoint URL matches the connection origin.
Args:
endpoint_url: The endpoint URL to validate.
Returns:
True if valid, False otherwise.
"""
url_parsed = urlparse(self.url)
endpoint_parsed = urlparse(endpoint_url)
return url_parsed.netloc == endpoint_parsed.netloc and url_parsed.scheme == endpoint_parsed.scheme
def _handle_endpoint_event(self, sse_data: str, status_queue: StatusQueue) -> None:
"""Handle an 'endpoint' SSE event.
Args:
sse_data: The SSE event data.
status_queue: Queue to put status updates.
"""
endpoint_url = urljoin(self.url, sse_data)
logger.info(f"Received endpoint URL: {endpoint_url}")
if not self._validate_endpoint_url(endpoint_url):
error_msg = f"Endpoint origin does not match connection origin: {endpoint_url}"
logger.error(error_msg)
status_queue.put(_StatusError(ValueError(error_msg)))
return
status_queue.put(_StatusReady(endpoint_url))
def _handle_message_event(self, sse_data: str, read_queue: ReadQueue) -> None:
"""Handle a 'message' SSE event.
Args:
sse_data: The SSE event data.
read_queue: Queue to put parsed messages.
"""
try:
message = types.JSONRPCMessage.model_validate_json(sse_data)
logger.debug(f"Received server message: {message}")
session_message = SessionMessage(message)
read_queue.put(session_message)
except Exception as exc:
logger.exception("Error parsing server message")
read_queue.put(exc)
def _handle_sse_event(self, sse, read_queue: ReadQueue, status_queue: StatusQueue) -> None:
"""Handle a single SSE event.
Args:
sse: The SSE event object.
read_queue: Queue for message events.
status_queue: Queue for status events.
"""
match sse.event:
case "endpoint":
self._handle_endpoint_event(sse.data, status_queue)
case "message":
self._handle_message_event(sse.data, read_queue)
case _:
logger.warning(f"Unknown SSE event: {sse.event}")
def sse_reader(self, event_source, read_queue: ReadQueue, status_queue: StatusQueue) -> None:
"""Read and process SSE events.
Args:
event_source: The SSE event source.
read_queue: Queue to put received messages.
status_queue: Queue to put status updates.
"""
try:
for sse in event_source.iter_sse():
self._handle_sse_event(sse, read_queue, status_queue)
except httpx.ReadError as exc:
logger.debug(f"SSE reader shutting down normally: {exc}")
except Exception as exc:
read_queue.put(exc)
finally:
read_queue.put(None)
def _send_message(self, client: httpx.Client, endpoint_url: str, message: SessionMessage) -> None:
"""Send a single message to the server.
Args:
client: HTTP client to use.
endpoint_url: The endpoint URL to send to.
message: The message to send.
"""
response = client.post(
endpoint_url,
json=message.message.model_dump(
by_alias=True,
mode="json",
exclude_none=True,
),
)
response.raise_for_status()
logger.debug(f"Client message sent successfully: {response.status_code}")
def post_writer(self, client: httpx.Client, endpoint_url: str, write_queue: WriteQueue) -> None:
"""Handle writing messages to the server.
Args:
client: HTTP client to use.
endpoint_url: The endpoint URL to send messages to.
write_queue: Queue to read messages from.
"""
try:
while True:
try:
message = write_queue.get(timeout=DEFAULT_QUEUE_READ_TIMEOUT)
if message is None:
break
if isinstance(message, Exception):
write_queue.put(message)
continue
self._send_message(client, endpoint_url, message)
except queue.Empty:
continue
except httpx.ReadError as exc:
logger.debug(f"Post writer shutting down normally: {exc}")
except Exception as exc:
logger.exception("Error writing messages")
write_queue.put(exc)
finally:
write_queue.put(None)
def _wait_for_endpoint(self, status_queue: StatusQueue) -> str:
"""Wait for the endpoint URL from the status queue.
Args:
status_queue: Queue to read status from.
Returns:
The endpoint URL.
Raises:
ValueError: If endpoint URL is not received or there's an error.
"""
try:
status = status_queue.get(timeout=1)
except queue.Empty:
raise ValueError("failed to get endpoint URL")
if isinstance(status, _StatusReady):
return status._endpoint_url
elif isinstance(status, _StatusError):
raise status._exc
else:
raise ValueError("failed to get endpoint URL")
def connect(
self,
executor: ThreadPoolExecutor,
client: httpx.Client,
event_source,
) -> tuple[ReadQueue, WriteQueue]:
"""Establish connection and start worker threads.
Args:
executor: Thread pool executor.
client: HTTP client.
event_source: SSE event source.
Returns:
Tuple of (read_queue, write_queue).
"""
read_queue: ReadQueue = queue.Queue()
write_queue: WriteQueue = queue.Queue()
status_queue: StatusQueue = queue.Queue()
# Start SSE reader thread
executor.submit(self.sse_reader, event_source, read_queue, status_queue)
# Wait for endpoint URL
endpoint_url = self._wait_for_endpoint(status_queue)
self.endpoint_url = endpoint_url
# Start post writer thread
executor.submit(self.post_writer, client, endpoint_url, write_queue)
return read_queue, write_queue
@contextmanager
def sse_client(
url: str,
headers: dict[str, Any] | None = None,
timeout: float = 5.0,
sse_read_timeout: float = 5 * 60,
) -> Generator[tuple[ReadQueue, WriteQueue], None, None]:
"""
Client transport for SSE.
`sse_read_timeout` determines how long (in seconds) the client will wait for a new
event before disconnecting. All other HTTP operations are controlled by `timeout`.
Args:
url: The SSE endpoint URL.
headers: Optional headers to include in requests.
timeout: HTTP timeout for regular operations.
sse_read_timeout: Timeout for SSE read operations.
Yields:
Tuple of (read_queue, write_queue) for message communication.
"""
transport = SSETransport(url, headers, timeout, sse_read_timeout)
read_queue: ReadQueue | None = None
write_queue: WriteQueue | None = None
with ThreadPoolExecutor() as executor:
try:
with create_ssrf_proxy_mcp_http_client(headers=transport.headers) as client:
with ssrf_proxy_sse_connect(
url, timeout=httpx.Timeout(timeout, read=sse_read_timeout), client=client
) as event_source:
event_source.response.raise_for_status()
read_queue, write_queue = transport.connect(executor, client, event_source)
yield read_queue, write_queue
except httpx.HTTPStatusError as exc:
if exc.response.status_code == 401:
raise MCPAuthError()
raise MCPConnectionError()
except Exception:
logger.exception("Error connecting to SSE endpoint")
raise
finally:
# Clean up queues
if read_queue:
read_queue.put(None)
if write_queue:
write_queue.put(None)
def send_message(http_client: httpx.Client, endpoint_url: str, session_message: SessionMessage) -> None:
"""
Send a message to the server using the provided HTTP client.
Args:
http_client: The HTTP client to use for sending
endpoint_url: The endpoint URL to send the message to
session_message: The message to send
"""
try:
response = http_client.post(
endpoint_url,
json=session_message.message.model_dump(
by_alias=True,
mode="json",
exclude_none=True,
),
)
response.raise_for_status()
logger.debug(f"Client message sent successfully: {response.status_code}")
except Exception as exc:
logger.exception("Error sending message")
raise
def read_messages(
sse_client: SSEClient,
) -> Generator[SessionMessage | Exception, None, None]:
"""
Read messages from the SSE client.
Args:
sse_client: The SSE client to read from
Yields:
SessionMessage or Exception for each event received
"""
try:
for sse in sse_client.events():
if sse.event == "message":
try:
message = types.JSONRPCMessage.model_validate_json(sse.data)
logger.debug(f"Received server message: {message}")
yield SessionMessage(message)
except Exception as exc:
logger.exception("Error parsing server message")
yield exc
else:
logger.warning(f"Unknown SSE event: {sse.event}")
except Exception as exc:
logger.exception("Error reading SSE messages")
yield exc

@ -0,0 +1,476 @@
"""
StreamableHTTP Client Transport Module
This module implements the StreamableHTTP transport for MCP clients,
providing support for HTTP POST requests with optional SSE streaming responses
and session management.
"""
import logging
import queue
from collections.abc import Callable, Generator
from concurrent.futures import ThreadPoolExecutor
from contextlib import contextmanager
from dataclasses import dataclass
from datetime import timedelta
from typing import Any, cast
import httpx
from httpx_sse import EventSource, ServerSentEvent
from core.mcp.types import (
ClientMessageMetadata,
ErrorData,
JSONRPCError,
JSONRPCMessage,
JSONRPCNotification,
JSONRPCRequest,
JSONRPCResponse,
RequestId,
SessionMessage,
)
from core.mcp.utils import create_ssrf_proxy_mcp_http_client, ssrf_proxy_sse_connect
logger = logging.getLogger(__name__)
SessionMessageOrError = SessionMessage | Exception | None
# Queue types with clearer names for their roles
ServerToClientQueue = queue.Queue[SessionMessageOrError] # Server to client messages
ClientToServerQueue = queue.Queue[SessionMessage | None] # Client to server messages
GetSessionIdCallback = Callable[[], str | None]
MCP_SESSION_ID = "mcp-session-id"
LAST_EVENT_ID = "last-event-id"
CONTENT_TYPE = "content-type"
ACCEPT = "Accept"
JSON = "application/json"
SSE = "text/event-stream"
DEFAULT_QUEUE_READ_TIMEOUT = 3
class StreamableHTTPError(Exception):
"""Base exception for StreamableHTTP transport errors."""
pass
class ResumptionError(StreamableHTTPError):
"""Raised when resumption request is invalid."""
pass
@dataclass
class RequestContext:
"""Context for a request operation."""
client: httpx.Client
headers: dict[str, str]
session_id: str | None
session_message: SessionMessage
metadata: ClientMessageMetadata | None
server_to_client_queue: ServerToClientQueue # Renamed for clarity
sse_read_timeout: timedelta
class StreamableHTTPTransport:
"""StreamableHTTP client transport implementation."""
def __init__(
self,
url: str,
headers: dict[str, Any] | None = None,
timeout: timedelta = timedelta(seconds=30),
sse_read_timeout: timedelta = timedelta(seconds=60 * 5),
) -> None:
"""Initialize the StreamableHTTP transport.
Args:
url: The endpoint URL.
headers: Optional headers to include in requests.
timeout: HTTP timeout for regular operations.
sse_read_timeout: Timeout for SSE read operations.
"""
self.url = url
self.headers = headers or {}
self.timeout = timeout
self.sse_read_timeout = sse_read_timeout
self.session_id: str | None = None
self.request_headers = {
ACCEPT: f"{JSON}, {SSE}",
CONTENT_TYPE: JSON,
**self.headers,
}
def _update_headers_with_session(self, base_headers: dict[str, str]) -> dict[str, str]:
"""Update headers with session ID if available."""
headers = base_headers.copy()
if self.session_id:
headers[MCP_SESSION_ID] = self.session_id
return headers
def _is_initialization_request(self, message: JSONRPCMessage) -> bool:
"""Check if the message is an initialization request."""
return isinstance(message.root, JSONRPCRequest) and message.root.method == "initialize"
def _is_initialized_notification(self, message: JSONRPCMessage) -> bool:
"""Check if the message is an initialized notification."""
return isinstance(message.root, JSONRPCNotification) and message.root.method == "notifications/initialized"
def _maybe_extract_session_id_from_response(
self,
response: httpx.Response,
) -> None:
"""Extract and store session ID from response headers."""
new_session_id = response.headers.get(MCP_SESSION_ID)
if new_session_id:
self.session_id = new_session_id
logger.info(f"Received session ID: {self.session_id}")
def _handle_sse_event(
self,
sse: ServerSentEvent,
server_to_client_queue: ServerToClientQueue,
original_request_id: RequestId | None = None,
resumption_callback: Callable[[str], None] | None = None,
) -> bool:
"""Handle an SSE event, returning True if the response is complete."""
if sse.event == "message":
try:
message = JSONRPCMessage.model_validate_json(sse.data)
logger.debug(f"SSE message: {message}")
# If this is a response and we have original_request_id, replace it
if original_request_id is not None and isinstance(message.root, JSONRPCResponse | JSONRPCError):
message.root.id = original_request_id
session_message = SessionMessage(message)
# Put message in queue that goes to client
server_to_client_queue.put(session_message)
# Call resumption token callback if we have an ID
if sse.id and resumption_callback:
resumption_callback(sse.id)
# If this is a response or error return True indicating completion
# Otherwise, return False to continue listening
return isinstance(message.root, JSONRPCResponse | JSONRPCError)
except Exception as exc:
# Put exception in queue that goes to client
server_to_client_queue.put(exc)
return False
elif sse.event == "ping":
logger.debug("Received ping event")
return False
else:
logger.warning(f"Unknown SSE event: {sse.event}")
return False
def handle_get_stream(
self,
client: httpx.Client,
server_to_client_queue: ServerToClientQueue,
) -> None:
"""Handle GET stream for server-initiated messages."""
try:
if not self.session_id:
return
headers = self._update_headers_with_session(self.request_headers)
with ssrf_proxy_sse_connect(
self.url,
headers=headers,
timeout=httpx.Timeout(self.timeout.seconds, read=self.sse_read_timeout.seconds),
client=client,
method="GET",
) as event_source:
event_source.response.raise_for_status()
logger.debug("GET SSE connection established")
for sse in event_source.iter_sse():
self._handle_sse_event(sse, server_to_client_queue)
except Exception as exc:
logger.debug(f"GET stream error (non-fatal): {exc}")
def _handle_resumption_request(self, ctx: RequestContext) -> None:
"""Handle a resumption request using GET with SSE."""
headers = self._update_headers_with_session(ctx.headers)
if ctx.metadata and ctx.metadata.resumption_token:
headers[LAST_EVENT_ID] = ctx.metadata.resumption_token
else:
raise ResumptionError("Resumption request requires a resumption token")
# Extract original request ID to map responses
original_request_id = None
if isinstance(ctx.session_message.message.root, JSONRPCRequest):
original_request_id = ctx.session_message.message.root.id
with ssrf_proxy_sse_connect(
self.url,
headers=headers,
timeout=httpx.Timeout(self.timeout.seconds, read=ctx.sse_read_timeout.seconds),
client=ctx.client,
method="GET",
) as event_source:
event_source.response.raise_for_status()
logger.debug("Resumption GET SSE connection established")
for sse in event_source.iter_sse():
is_complete = self._handle_sse_event(
sse,
ctx.server_to_client_queue,
original_request_id,
ctx.metadata.on_resumption_token_update if ctx.metadata else None,
)
if is_complete:
break
def _handle_post_request(self, ctx: RequestContext) -> None:
"""Handle a POST request with response processing."""
headers = self._update_headers_with_session(ctx.headers)
message = ctx.session_message.message
is_initialization = self._is_initialization_request(message)
with ctx.client.stream(
"POST",
self.url,
json=message.model_dump(by_alias=True, mode="json", exclude_none=True),
headers=headers,
) as response:
if response.status_code == 202:
logger.debug("Received 202 Accepted")
return
if response.status_code == 404:
if isinstance(message.root, JSONRPCRequest):
self._send_session_terminated_error(
ctx.server_to_client_queue,
message.root.id,
)
return
response.raise_for_status()
if is_initialization:
self._maybe_extract_session_id_from_response(response)
content_type = cast(str, response.headers.get(CONTENT_TYPE, "").lower())
if content_type.startswith(JSON):
self._handle_json_response(response, ctx.server_to_client_queue)
elif content_type.startswith(SSE):
self._handle_sse_response(response, ctx)
else:
self._handle_unexpected_content_type(
content_type,
ctx.server_to_client_queue,
)
def _handle_json_response(
self,
response: httpx.Response,
server_to_client_queue: ServerToClientQueue,
) -> None:
"""Handle JSON response from the server."""
try:
content = response.read()
message = JSONRPCMessage.model_validate_json(content)
session_message = SessionMessage(message)
server_to_client_queue.put(session_message)
except Exception as exc:
server_to_client_queue.put(exc)
def _handle_sse_response(self, response: httpx.Response, ctx: RequestContext) -> None:
"""Handle SSE response from the server."""
try:
event_source = EventSource(response)
for sse in event_source.iter_sse():
is_complete = self._handle_sse_event(
sse,
ctx.server_to_client_queue,
resumption_callback=(ctx.metadata.on_resumption_token_update if ctx.metadata else None),
)
if is_complete:
break
except Exception as e:
ctx.server_to_client_queue.put(e)
def _handle_unexpected_content_type(
self,
content_type: str,
server_to_client_queue: ServerToClientQueue,
) -> None:
"""Handle unexpected content type in response."""
error_msg = f"Unexpected content type: {content_type}"
logger.error(error_msg)
server_to_client_queue.put(ValueError(error_msg))
def _send_session_terminated_error(
self,
server_to_client_queue: ServerToClientQueue,
request_id: RequestId,
) -> None:
"""Send a session terminated error response."""
jsonrpc_error = JSONRPCError(
jsonrpc="2.0",
id=request_id,
error=ErrorData(code=32600, message="Session terminated by server"),
)
session_message = SessionMessage(JSONRPCMessage(jsonrpc_error))
server_to_client_queue.put(session_message)
def post_writer(
self,
client: httpx.Client,
client_to_server_queue: ClientToServerQueue,
server_to_client_queue: ServerToClientQueue,
start_get_stream: Callable[[], None],
) -> None:
"""Handle writing requests to the server.
This method processes messages from the client_to_server_queue and sends them to the server.
Responses are written to the server_to_client_queue.
"""
while True:
try:
# Read message from client queue with timeout to check stop_event periodically
session_message = client_to_server_queue.get(timeout=DEFAULT_QUEUE_READ_TIMEOUT)
if session_message is None:
break
message = session_message.message
metadata = (
session_message.metadata if isinstance(session_message.metadata, ClientMessageMetadata) else None
)
# Check if this is a resumption request
is_resumption = bool(metadata and metadata.resumption_token)
logger.debug(f"Sending client message: {message}")
# Handle initialized notification
if self._is_initialized_notification(message):
start_get_stream()
ctx = RequestContext(
client=client,
headers=self.request_headers,
session_id=self.session_id,
session_message=session_message,
metadata=metadata,
server_to_client_queue=server_to_client_queue, # Queue to write responses to client
sse_read_timeout=self.sse_read_timeout,
)
if is_resumption:
self._handle_resumption_request(ctx)
else:
self._handle_post_request(ctx)
except queue.Empty:
continue
except Exception as exc:
server_to_client_queue.put(exc)
def terminate_session(self, client: httpx.Client) -> None:
"""Terminate the session by sending a DELETE request."""
if not self.session_id:
return
try:
headers = self._update_headers_with_session(self.request_headers)
response = client.delete(self.url, headers=headers)
if response.status_code == 405:
logger.debug("Server does not allow session termination")
elif response.status_code != 200:
logger.warning(f"Session termination failed: {response.status_code}")
except Exception as exc:
logger.warning(f"Session termination failed: {exc}")
def get_session_id(self) -> str | None:
"""Get the current session ID."""
return self.session_id
@contextmanager
def streamablehttp_client(
url: str,
headers: dict[str, Any] | None = None,
timeout: timedelta = timedelta(seconds=30),
sse_read_timeout: timedelta = timedelta(seconds=60 * 5),
terminate_on_close: bool = True,
) -> Generator[
tuple[
ServerToClientQueue, # Queue for receiving messages FROM server
ClientToServerQueue, # Queue for sending messages TO server
GetSessionIdCallback,
],
None,
None,
]:
"""
Client transport for StreamableHTTP.
`sse_read_timeout` determines how long (in seconds) the client will wait for a new
event before disconnecting. All other HTTP operations are controlled by `timeout`.
Yields:
Tuple containing:
- server_to_client_queue: Queue for reading messages FROM the server
- client_to_server_queue: Queue for sending messages TO the server
- get_session_id_callback: Function to retrieve the current session ID
"""
transport = StreamableHTTPTransport(url, headers, timeout, sse_read_timeout)
# Create queues with clear directional meaning
server_to_client_queue: ServerToClientQueue = queue.Queue() # For messages FROM server TO client
client_to_server_queue: ClientToServerQueue = queue.Queue() # For messages FROM client TO server
with ThreadPoolExecutor(max_workers=2) as executor:
try:
with create_ssrf_proxy_mcp_http_client(
headers=transport.request_headers,
timeout=httpx.Timeout(transport.timeout.seconds, read=transport.sse_read_timeout.seconds),
) as client:
# Define callbacks that need access to thread pool
def start_get_stream() -> None:
"""Start a worker thread to handle server-initiated messages."""
executor.submit(transport.handle_get_stream, client, server_to_client_queue)
# Start the post_writer worker thread
executor.submit(
transport.post_writer,
client,
client_to_server_queue, # Queue for messages FROM client TO server
server_to_client_queue, # Queue for messages FROM server TO client
start_get_stream,
)
try:
yield (
server_to_client_queue, # Queue for receiving messages FROM server
client_to_server_queue, # Queue for sending messages TO server
transport.get_session_id,
)
finally:
if transport.session_id and terminate_on_close:
transport.terminate_session(client)
# Signal threads to stop
client_to_server_queue.put(None)
finally:
# Clear any remaining items and add None sentinel to unblock any waiting threads
try:
while not client_to_server_queue.empty():
client_to_server_queue.get_nowait()
except queue.Empty:
pass
client_to_server_queue.put(None)
server_to_client_queue.put(None)

@ -0,0 +1,19 @@
from dataclasses import dataclass
from typing import Any, Generic, TypeVar
from core.mcp.session.base_session import BaseSession
from core.mcp.types import LATEST_PROTOCOL_VERSION, RequestId, RequestParams
SUPPORTED_PROTOCOL_VERSIONS: list[str] = ["2024-11-05", LATEST_PROTOCOL_VERSION]
SessionT = TypeVar("SessionT", bound=BaseSession[Any, Any, Any, Any, Any])
LifespanContextT = TypeVar("LifespanContextT")
@dataclass
class RequestContext(Generic[SessionT, LifespanContextT]):
request_id: RequestId
meta: RequestParams.Meta | None
session: SessionT
lifespan_context: LifespanContextT

@ -0,0 +1,10 @@
class MCPError(Exception):
pass
class MCPConnectionError(MCPError):
pass
class MCPAuthError(MCPConnectionError):
pass

@ -0,0 +1,150 @@
import logging
from collections.abc import Callable
from contextlib import AbstractContextManager, ExitStack
from types import TracebackType
from typing import Any, Optional, cast
from urllib.parse import urlparse
from core.mcp.client.sse_client import sse_client
from core.mcp.client.streamable_client import streamablehttp_client
from core.mcp.error import MCPAuthError, MCPConnectionError
from core.mcp.session.client_session import ClientSession
from core.mcp.types import Tool
logger = logging.getLogger(__name__)
class MCPClient:
def __init__(
self,
server_url: str,
provider_id: str,
tenant_id: str,
authed: bool = True,
authorization_code: Optional[str] = None,
for_list: bool = False,
):
# Initialize info
self.provider_id = provider_id
self.tenant_id = tenant_id
self.client_type = "streamable"
self.server_url = server_url
# Authentication info
self.authed = authed
self.authorization_code = authorization_code
if authed:
from core.mcp.auth.auth_provider import OAuthClientProvider
self.provider = OAuthClientProvider(self.provider_id, self.tenant_id, for_list=for_list)
self.token = self.provider.tokens()
# Initialize session and client objects
self._session: Optional[ClientSession] = None
self._streams_context: Optional[AbstractContextManager[Any]] = None
self._session_context: Optional[ClientSession] = None
self.exit_stack = ExitStack()
# Whether the client has been initialized
self._initialized = False
def __enter__(self):
self._initialize()
self._initialized = True
return self
def __exit__(
self, exc_type: Optional[type], exc_value: Optional[BaseException], traceback: Optional[TracebackType]
):
self.cleanup()
def _initialize(
self,
):
"""Initialize the client with fallback to SSE if streamable connection fails"""
connection_methods: dict[str, Callable[..., AbstractContextManager[Any]]] = {
"mcp": streamablehttp_client,
"sse": sse_client,
}
parsed_url = urlparse(self.server_url)
path = parsed_url.path
method_name = path.rstrip("/").split("/")[-1] if path else ""
try:
client_factory = connection_methods[method_name]
self.connect_server(client_factory, method_name)
except KeyError:
try:
self.connect_server(sse_client, "sse")
except MCPConnectionError:
self.connect_server(streamablehttp_client, "mcp")
def connect_server(
self, client_factory: Callable[..., AbstractContextManager[Any]], method_name: str, first_try: bool = True
):
from core.mcp.auth.auth_flow import auth
try:
headers = (
{"Authorization": f"{self.token.token_type.capitalize()} {self.token.access_token}"}
if self.authed and self.token
else {}
)
self._streams_context = client_factory(url=self.server_url, headers=headers)
if self._streams_context is None:
raise MCPConnectionError("Failed to create connection context")
# Use exit_stack to manage context managers properly
if method_name == "mcp":
read_stream, write_stream, _ = self.exit_stack.enter_context(self._streams_context)
streams = (read_stream, write_stream)
else: # sse_client
streams = self.exit_stack.enter_context(self._streams_context)
self._session_context = ClientSession(*streams)
self._session = self.exit_stack.enter_context(self._session_context)
session = cast(ClientSession, self._session)
session.initialize()
return
except MCPAuthError:
if not self.authed:
raise
try:
auth(self.provider, self.server_url, self.authorization_code)
except Exception as e:
raise ValueError(f"Failed to authenticate: {e}")
self.token = self.provider.tokens()
if first_try:
return self.connect_server(client_factory, method_name, first_try=False)
except MCPConnectionError:
raise
def list_tools(self) -> list[Tool]:
"""Connect to an MCP server running with SSE transport"""
# List available tools to verify connection
if not self._initialized or not self._session:
raise ValueError("Session not initialized.")
response = self._session.list_tools()
tools = response.tools
return tools
def invoke_tool(self, tool_name: str, tool_args: dict):
"""Call a tool"""
if not self._initialized or not self._session:
raise ValueError("Session not initialized.")
return self._session.call_tool(tool_name, tool_args)
def cleanup(self):
"""Clean up resources"""
try:
# ExitStack will handle proper cleanup of all managed context managers
self.exit_stack.close()
self._session = None
self._session_context = None
self._streams_context = None
self._initialized = False
except Exception as e:
logging.exception("Error during cleanup")
raise ValueError(f"Error during cleanup: {e}")

@ -0,0 +1,228 @@
import json
import logging
from collections.abc import Mapping
from typing import Any, cast
from configs import dify_config
from controllers.web.passport import generate_session_id
from core.app.app_config.entities import VariableEntity, VariableEntityType
from core.app.entities.app_invoke_entities import InvokeFrom
from core.app.features.rate_limiting.rate_limit import RateLimitGenerator
from core.mcp import types
from core.mcp.types import INTERNAL_ERROR, INVALID_PARAMS, METHOD_NOT_FOUND
from core.mcp.utils import create_mcp_error_response
from core.model_runtime.utils.encoders import jsonable_encoder
from extensions.ext_database import db
from models.model import App, AppMCPServer, AppMode, EndUser
from services.app_generate_service import AppGenerateService
"""
Apply to MCP HTTP streamable server with stateless http
"""
logger = logging.getLogger(__name__)
class MCPServerStreamableHTTPRequestHandler:
def __init__(
self, app: App, request: types.ClientRequest | types.ClientNotification, user_input_form: list[VariableEntity]
):
self.app = app
self.request = request
mcp_server = db.session.query(AppMCPServer).filter(AppMCPServer.app_id == self.app.id).first()
if not mcp_server:
raise ValueError("MCP server not found")
self.mcp_server: AppMCPServer = mcp_server
self.end_user = self.retrieve_end_user()
self.user_input_form = user_input_form
@property
def request_type(self):
return type(self.request.root)
@property
def parameter_schema(self):
parameters, required = self._convert_input_form_to_parameters(self.user_input_form)
if self.app.mode in {AppMode.COMPLETION.value, AppMode.WORKFLOW.value}:
return {
"type": "object",
"properties": parameters,
"required": required,
}
return {
"type": "object",
"properties": {
"query": {"type": "string", "description": "User Input/Question content"},
**parameters,
},
"required": ["query", *required],
}
@property
def capabilities(self):
return types.ServerCapabilities(
tools=types.ToolsCapability(listChanged=False),
)
def response(self, response: types.Result | str):
if isinstance(response, str):
sse_content = f"event: ping\ndata: {response}\n\n".encode()
yield sse_content
return
json_response = types.JSONRPCResponse(
jsonrpc="2.0",
id=(self.request.root.model_extra or {}).get("id", 1),
result=response.model_dump(by_alias=True, mode="json", exclude_none=True),
)
json_data = json.dumps(jsonable_encoder(json_response))
sse_content = f"event: message\ndata: {json_data}\n\n".encode()
yield sse_content
def error_response(self, code: int, message: str, data=None):
request_id = (self.request.root.model_extra or {}).get("id", 1) or 1
return create_mcp_error_response(request_id, code, message, data)
def handle(self):
handle_map = {
types.InitializeRequest: self.initialize,
types.ListToolsRequest: self.list_tools,
types.CallToolRequest: self.invoke_tool,
types.InitializedNotification: self.handle_notification,
types.PingRequest: self.handle_ping,
}
try:
if self.request_type in handle_map:
return self.response(handle_map[self.request_type]())
else:
return self.error_response(METHOD_NOT_FOUND, f"Method not found: {self.request_type}")
except ValueError as e:
logger.exception("Invalid params")
return self.error_response(INVALID_PARAMS, str(e))
except Exception as e:
logger.exception("Internal server error")
return self.error_response(INTERNAL_ERROR, f"Internal server error: {str(e)}")
def handle_notification(self):
return "ping"
def handle_ping(self):
return types.EmptyResult()
def initialize(self):
request = cast(types.InitializeRequest, self.request.root)
client_info = request.params.clientInfo
client_name = f"{client_info.name}@{client_info.version}"
if not self.end_user:
end_user = EndUser(
tenant_id=self.app.tenant_id,
app_id=self.app.id,
type="mcp",
name=client_name,
session_id=generate_session_id(),
external_user_id=self.mcp_server.id,
)
db.session.add(end_user)
db.session.commit()
return types.InitializeResult(
protocolVersion=types.SERVER_LATEST_PROTOCOL_VERSION,
capabilities=self.capabilities,
serverInfo=types.Implementation(name="Dify", version=dify_config.project.version),
instructions=self.mcp_server.description,
)
def list_tools(self):
if not self.end_user:
raise ValueError("User not found")
return types.ListToolsResult(
tools=[
types.Tool(
name=self.app.name,
description=self.mcp_server.description,
inputSchema=self.parameter_schema,
)
],
)
def invoke_tool(self):
if not self.end_user:
raise ValueError("User not found")
request = cast(types.CallToolRequest, self.request.root)
args = request.params.arguments
if not args:
raise ValueError("No arguments provided")
if self.app.mode in {AppMode.WORKFLOW.value}:
args = {"inputs": args}
elif self.app.mode in {AppMode.COMPLETION.value}:
args = {"query": "", "inputs": args}
else:
args = {"query": args["query"], "inputs": {k: v for k, v in args.items() if k != "query"}}
response = AppGenerateService.generate(
self.app,
self.end_user,
args,
InvokeFrom.SERVICE_API,
streaming=self.app.mode == AppMode.AGENT_CHAT.value,
)
answer = ""
if isinstance(response, RateLimitGenerator):
for item in response.generator:
data = item
if isinstance(data, str) and data.startswith("data: "):
try:
json_str = data[6:].strip()
parsed_data = json.loads(json_str)
if parsed_data.get("event") == "agent_thought":
answer += parsed_data.get("thought", "")
except json.JSONDecodeError:
continue
if isinstance(response, Mapping):
if self.app.mode in {
AppMode.ADVANCED_CHAT.value,
AppMode.COMPLETION.value,
AppMode.CHAT.value,
AppMode.AGENT_CHAT.value,
}:
answer = response["answer"]
elif self.app.mode in {AppMode.WORKFLOW.value}:
answer = json.dumps(response["data"]["outputs"], ensure_ascii=False)
else:
raise ValueError("Invalid app mode")
# Not support image yet
return types.CallToolResult(content=[types.TextContent(text=answer, type="text")])
def retrieve_end_user(self):
return (
db.session.query(EndUser)
.filter(EndUser.external_user_id == self.mcp_server.id, EndUser.type == "mcp")
.first()
)
def _convert_input_form_to_parameters(self, user_input_form: list[VariableEntity]):
parameters: dict[str, dict[str, Any]] = {}
required = []
for item in user_input_form:
parameters[item.variable] = {}
if item.type in (
VariableEntityType.FILE,
VariableEntityType.FILE_LIST,
VariableEntityType.EXTERNAL_DATA_TOOL,
):
continue
if item.required:
required.append(item.variable)
# if the workflow republished, the parameters not changed
# we should not raise error here
try:
description = self.mcp_server.parameters_dict[item.variable]
except KeyError:
description = ""
parameters[item.variable]["description"] = description
if item.type in (VariableEntityType.TEXT_INPUT, VariableEntityType.PARAGRAPH):
parameters[item.variable]["type"] = "string"
elif item.type == VariableEntityType.SELECT:
parameters[item.variable]["type"] = "string"
parameters[item.variable]["enum"] = item.options
elif item.type == VariableEntityType.NUMBER:
parameters[item.variable]["type"] = "float"
return parameters, required

@ -0,0 +1,397 @@
import logging
import queue
from collections.abc import Callable
from concurrent.futures import ThreadPoolExecutor
from contextlib import ExitStack
from datetime import timedelta
from types import TracebackType
from typing import Any, Generic, Self, TypeVar
from httpx import HTTPStatusError
from pydantic import BaseModel
from core.mcp.error import MCPAuthError, MCPConnectionError
from core.mcp.types import (
CancelledNotification,
ClientNotification,
ClientRequest,
ClientResult,
ErrorData,
JSONRPCError,
JSONRPCMessage,
JSONRPCNotification,
JSONRPCRequest,
JSONRPCResponse,
MessageMetadata,
RequestId,
RequestParams,
ServerMessageMetadata,
ServerNotification,
ServerRequest,
ServerResult,
SessionMessage,
)
SendRequestT = TypeVar("SendRequestT", ClientRequest, ServerRequest)
SendResultT = TypeVar("SendResultT", ClientResult, ServerResult)
SendNotificationT = TypeVar("SendNotificationT", ClientNotification, ServerNotification)
ReceiveRequestT = TypeVar("ReceiveRequestT", ClientRequest, ServerRequest)
ReceiveResultT = TypeVar("ReceiveResultT", bound=BaseModel)
ReceiveNotificationT = TypeVar("ReceiveNotificationT", ClientNotification, ServerNotification)
DEFAULT_RESPONSE_READ_TIMEOUT = 1.0
class RequestResponder(Generic[ReceiveRequestT, SendResultT]):
"""Handles responding to MCP requests and manages request lifecycle.
This class MUST be used as a context manager to ensure proper cleanup and
cancellation handling:
Example:
with request_responder as resp:
resp.respond(result)
The context manager ensures:
1. Proper cancellation scope setup and cleanup
2. Request completion tracking
3. Cleanup of in-flight requests
"""
request: ReceiveRequestT
_session: Any
_on_complete: Callable[["RequestResponder[ReceiveRequestT, SendResultT]"], Any]
def __init__(
self,
request_id: RequestId,
request_meta: RequestParams.Meta | None,
request: ReceiveRequestT,
session: """BaseSession[
SendRequestT,
SendNotificationT,
SendResultT,
ReceiveRequestT,
ReceiveNotificationT
]""",
on_complete: Callable[["RequestResponder[ReceiveRequestT, SendResultT]"], Any],
) -> None:
self.request_id = request_id
self.request_meta = request_meta
self.request = request
self._session = session
self._completed = False
self._on_complete = on_complete
self._entered = False # Track if we're in a context manager
def __enter__(self) -> "RequestResponder[ReceiveRequestT, SendResultT]":
"""Enter the context manager, enabling request cancellation tracking."""
self._entered = True
return self
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
"""Exit the context manager, performing cleanup and notifying completion."""
try:
if self._completed:
self._on_complete(self)
finally:
self._entered = False
def respond(self, response: SendResultT | ErrorData) -> None:
"""Send a response for this request.
Must be called within a context manager block.
Raises:
RuntimeError: If not used within a context manager
AssertionError: If request was already responded to
"""
if not self._entered:
raise RuntimeError("RequestResponder must be used as a context manager")
assert not self._completed, "Request already responded to"
self._completed = True
self._session._send_response(request_id=self.request_id, response=response)
def cancel(self) -> None:
"""Cancel this request and mark it as completed."""
if not self._entered:
raise RuntimeError("RequestResponder must be used as a context manager")
self._completed = True # Mark as completed so it's removed from in_flight
# Send an error response to indicate cancellation
self._session._send_response(
request_id=self.request_id,
response=ErrorData(code=0, message="Request cancelled", data=None),
)
class BaseSession(
Generic[
SendRequestT,
SendNotificationT,
SendResultT,
ReceiveRequestT,
ReceiveNotificationT,
],
):
"""
Implements an MCP "session" on top of read/write streams, including features
like request/response linking, notifications, and progress.
This class is a context manager that automatically starts processing
messages when entered.
"""
_response_streams: dict[RequestId, queue.Queue[JSONRPCResponse | JSONRPCError]]
_request_id: int
_in_flight: dict[RequestId, RequestResponder[ReceiveRequestT, SendResultT]]
_receive_request_type: type[ReceiveRequestT]
_receive_notification_type: type[ReceiveNotificationT]
def __init__(
self,
read_stream: queue.Queue,
write_stream: queue.Queue,
receive_request_type: type[ReceiveRequestT],
receive_notification_type: type[ReceiveNotificationT],
# If none, reading will never time out
read_timeout_seconds: timedelta | None = None,
) -> None:
self._read_stream = read_stream
self._write_stream = write_stream
self._response_streams = {}
self._request_id = 0
self._receive_request_type = receive_request_type
self._receive_notification_type = receive_notification_type
self._session_read_timeout_seconds = read_timeout_seconds
self._in_flight = {}
self._exit_stack = ExitStack()
def __enter__(self) -> Self:
self._executor = ThreadPoolExecutor()
self._receiver_future = self._executor.submit(self._receive_loop)
return self
def check_receiver_status(self) -> None:
if self._receiver_future.done():
self._receiver_future.result()
def __exit__(
self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None
) -> None:
self._exit_stack.close()
self._read_stream.put(None)
self._write_stream.put(None)
def send_request(
self,
request: SendRequestT,
result_type: type[ReceiveResultT],
request_read_timeout_seconds: timedelta | None = None,
metadata: MessageMetadata = None,
) -> ReceiveResultT:
"""
Sends a request and wait for a response. Raises an McpError if the
response contains an error. If a request read timeout is provided, it
will take precedence over the session read timeout.
Do not use this method to emit notifications! Use send_notification()
instead.
"""
self.check_receiver_status()
request_id = self._request_id
self._request_id = request_id + 1
response_queue: queue.Queue[JSONRPCResponse | JSONRPCError] = queue.Queue()
self._response_streams[request_id] = response_queue
try:
jsonrpc_request = JSONRPCRequest(
jsonrpc="2.0",
id=request_id,
**request.model_dump(by_alias=True, mode="json", exclude_none=True),
)
self._write_stream.put(SessionMessage(message=JSONRPCMessage(jsonrpc_request), metadata=metadata))
timeout = DEFAULT_RESPONSE_READ_TIMEOUT
if request_read_timeout_seconds is not None:
timeout = float(request_read_timeout_seconds.total_seconds())
elif self._session_read_timeout_seconds is not None:
timeout = float(self._session_read_timeout_seconds.total_seconds())
while True:
try:
response_or_error = response_queue.get(timeout=timeout)
break
except queue.Empty:
self.check_receiver_status()
continue
if response_or_error is None:
raise MCPConnectionError(
ErrorData(
code=500,
message="No response received",
)
)
elif isinstance(response_or_error, JSONRPCError):
if response_or_error.error.code == 401:
raise MCPAuthError(
ErrorData(code=response_or_error.error.code, message=response_or_error.error.message)
)
else:
raise MCPConnectionError(
ErrorData(code=response_or_error.error.code, message=response_or_error.error.message)
)
else:
return result_type.model_validate(response_or_error.result)
finally:
self._response_streams.pop(request_id, None)
def send_notification(
self,
notification: SendNotificationT,
related_request_id: RequestId | None = None,
) -> None:
"""
Emits a notification, which is a one-way message that does not expect
a response.
"""
self.check_receiver_status()
# Some transport implementations may need to set the related_request_id
# to attribute to the notifications to the request that triggered them.
jsonrpc_notification = JSONRPCNotification(
jsonrpc="2.0",
**notification.model_dump(by_alias=True, mode="json", exclude_none=True),
)
session_message = SessionMessage(
message=JSONRPCMessage(jsonrpc_notification),
metadata=ServerMessageMetadata(related_request_id=related_request_id) if related_request_id else None,
)
self._write_stream.put(session_message)
def _send_response(self, request_id: RequestId, response: SendResultT | ErrorData) -> None:
if isinstance(response, ErrorData):
jsonrpc_error = JSONRPCError(jsonrpc="2.0", id=request_id, error=response)
session_message = SessionMessage(message=JSONRPCMessage(jsonrpc_error))
self._write_stream.put(session_message)
else:
jsonrpc_response = JSONRPCResponse(
jsonrpc="2.0",
id=request_id,
result=response.model_dump(by_alias=True, mode="json", exclude_none=True),
)
session_message = SessionMessage(message=JSONRPCMessage(jsonrpc_response))
self._write_stream.put(session_message)
def _receive_loop(self) -> None:
"""
Main message processing loop.
In a real synchronous implementation, this would likely run in a separate thread.
"""
while True:
try:
# Attempt to receive a message (this would be blocking in a synchronous context)
message = self._read_stream.get(timeout=DEFAULT_RESPONSE_READ_TIMEOUT)
if message is None:
break
if isinstance(message, HTTPStatusError):
response_queue = self._response_streams.get(self._request_id - 1)
if response_queue is not None:
response_queue.put(
JSONRPCError(
jsonrpc="2.0",
id=self._request_id - 1,
error=ErrorData(code=message.response.status_code, message=message.args[0]),
)
)
else:
self._handle_incoming(RuntimeError(f"Received response with an unknown request ID: {message}"))
elif isinstance(message, Exception):
self._handle_incoming(message)
elif isinstance(message.message.root, JSONRPCRequest):
validated_request = self._receive_request_type.model_validate(
message.message.root.model_dump(by_alias=True, mode="json", exclude_none=True)
)
responder = RequestResponder(
request_id=message.message.root.id,
request_meta=validated_request.root.params.meta if validated_request.root.params else None,
request=validated_request,
session=self,
on_complete=lambda r: self._in_flight.pop(r.request_id, None),
)
self._in_flight[responder.request_id] = responder
self._received_request(responder)
if not responder._completed:
self._handle_incoming(responder)
elif isinstance(message.message.root, JSONRPCNotification):
try:
notification = self._receive_notification_type.model_validate(
message.message.root.model_dump(by_alias=True, mode="json", exclude_none=True)
)
# Handle cancellation notifications
if isinstance(notification.root, CancelledNotification):
cancelled_id = notification.root.params.requestId
if cancelled_id in self._in_flight:
self._in_flight[cancelled_id].cancel()
else:
self._received_notification(notification)
self._handle_incoming(notification)
except Exception as e:
# For other validation errors, log and continue
logging.warning(f"Failed to validate notification: {e}. Message was: {message.message.root}")
else: # Response or error
response_queue = self._response_streams.get(message.message.root.id)
if response_queue is not None:
response_queue.put(message.message.root)
else:
self._handle_incoming(RuntimeError(f"Server Error: {message}"))
except queue.Empty:
continue
except Exception as e:
logging.exception("Error in message processing loop")
raise
def _received_request(self, responder: RequestResponder[ReceiveRequestT, SendResultT]) -> None:
"""
Can be overridden by subclasses to handle a request without needing to
listen on the message stream.
If the request is responded to within this method, it will not be
forwarded on to the message stream.
"""
pass
def _received_notification(self, notification: ReceiveNotificationT) -> None:
"""
Can be overridden by subclasses to handle a notification without needing
to listen on the message stream.
"""
pass
def send_progress_notification(
self, progress_token: str | int, progress: float, total: float | None = None
) -> None:
"""
Sends a progress notification for a request that is currently being
processed.
"""
pass
def _handle_incoming(
self,
req: RequestResponder[ReceiveRequestT, SendResultT] | ReceiveNotificationT | Exception,
) -> None:
"""A generic handler for incoming messages. Overwritten by subclasses."""
pass

@ -0,0 +1,365 @@
from datetime import timedelta
from typing import Any, Protocol
from pydantic import AnyUrl, TypeAdapter
from configs import dify_config
from core.mcp import types
from core.mcp.entities import SUPPORTED_PROTOCOL_VERSIONS, RequestContext
from core.mcp.session.base_session import BaseSession, RequestResponder
DEFAULT_CLIENT_INFO = types.Implementation(name="Dify", version=dify_config.project.version)
class SamplingFnT(Protocol):
def __call__(
self,
context: RequestContext["ClientSession", Any],
params: types.CreateMessageRequestParams,
) -> types.CreateMessageResult | types.ErrorData: ...
class ListRootsFnT(Protocol):
def __call__(self, context: RequestContext["ClientSession", Any]) -> types.ListRootsResult | types.ErrorData: ...
class LoggingFnT(Protocol):
def __call__(
self,
params: types.LoggingMessageNotificationParams,
) -> None: ...
class MessageHandlerFnT(Protocol):
def __call__(
self,
message: RequestResponder[types.ServerRequest, types.ClientResult] | types.ServerNotification | Exception,
) -> None: ...
def _default_message_handler(
message: RequestResponder[types.ServerRequest, types.ClientResult] | types.ServerNotification | Exception,
) -> None:
if isinstance(message, Exception):
raise ValueError(str(message))
elif isinstance(message, (types.ServerNotification | RequestResponder)):
pass
def _default_sampling_callback(
context: RequestContext["ClientSession", Any],
params: types.CreateMessageRequestParams,
) -> types.CreateMessageResult | types.ErrorData:
return types.ErrorData(
code=types.INVALID_REQUEST,
message="Sampling not supported",
)
def _default_list_roots_callback(
context: RequestContext["ClientSession", Any],
) -> types.ListRootsResult | types.ErrorData:
return types.ErrorData(
code=types.INVALID_REQUEST,
message="List roots not supported",
)
def _default_logging_callback(
params: types.LoggingMessageNotificationParams,
) -> None:
pass
ClientResponse: TypeAdapter[types.ClientResult | types.ErrorData] = TypeAdapter(types.ClientResult | types.ErrorData)
class ClientSession(
BaseSession[
types.ClientRequest,
types.ClientNotification,
types.ClientResult,
types.ServerRequest,
types.ServerNotification,
]
):
def __init__(
self,
read_stream,
write_stream,
read_timeout_seconds: timedelta | None = None,
sampling_callback: SamplingFnT | None = None,
list_roots_callback: ListRootsFnT | None = None,
logging_callback: LoggingFnT | None = None,
message_handler: MessageHandlerFnT | None = None,
client_info: types.Implementation | None = None,
) -> None:
super().__init__(
read_stream,
write_stream,
types.ServerRequest,
types.ServerNotification,
read_timeout_seconds=read_timeout_seconds,
)
self._client_info = client_info or DEFAULT_CLIENT_INFO
self._sampling_callback = sampling_callback or _default_sampling_callback
self._list_roots_callback = list_roots_callback or _default_list_roots_callback
self._logging_callback = logging_callback or _default_logging_callback
self._message_handler = message_handler or _default_message_handler
def initialize(self) -> types.InitializeResult:
sampling = types.SamplingCapability()
roots = types.RootsCapability(
# TODO: Should this be based on whether we
# _will_ send notifications, or only whether
# they're supported?
listChanged=True,
)
result = self.send_request(
types.ClientRequest(
types.InitializeRequest(
method="initialize",
params=types.InitializeRequestParams(
protocolVersion=types.LATEST_PROTOCOL_VERSION,
capabilities=types.ClientCapabilities(
sampling=sampling,
experimental=None,
roots=roots,
),
clientInfo=self._client_info,
),
)
),
types.InitializeResult,
)
if result.protocolVersion not in SUPPORTED_PROTOCOL_VERSIONS:
raise RuntimeError(f"Unsupported protocol version from the server: {result.protocolVersion}")
self.send_notification(
types.ClientNotification(types.InitializedNotification(method="notifications/initialized"))
)
return result
def send_ping(self) -> types.EmptyResult:
"""Send a ping request."""
return self.send_request(
types.ClientRequest(
types.PingRequest(
method="ping",
)
),
types.EmptyResult,
)
def send_progress_notification(
self, progress_token: str | int, progress: float, total: float | None = None
) -> None:
"""Send a progress notification."""
self.send_notification(
types.ClientNotification(
types.ProgressNotification(
method="notifications/progress",
params=types.ProgressNotificationParams(
progressToken=progress_token,
progress=progress,
total=total,
),
),
)
)
def set_logging_level(self, level: types.LoggingLevel) -> types.EmptyResult:
"""Send a logging/setLevel request."""
return self.send_request(
types.ClientRequest(
types.SetLevelRequest(
method="logging/setLevel",
params=types.SetLevelRequestParams(level=level),
)
),
types.EmptyResult,
)
def list_resources(self) -> types.ListResourcesResult:
"""Send a resources/list request."""
return self.send_request(
types.ClientRequest(
types.ListResourcesRequest(
method="resources/list",
)
),
types.ListResourcesResult,
)
def list_resource_templates(self) -> types.ListResourceTemplatesResult:
"""Send a resources/templates/list request."""
return self.send_request(
types.ClientRequest(
types.ListResourceTemplatesRequest(
method="resources/templates/list",
)
),
types.ListResourceTemplatesResult,
)
def read_resource(self, uri: AnyUrl) -> types.ReadResourceResult:
"""Send a resources/read request."""
return self.send_request(
types.ClientRequest(
types.ReadResourceRequest(
method="resources/read",
params=types.ReadResourceRequestParams(uri=uri),
)
),
types.ReadResourceResult,
)
def subscribe_resource(self, uri: AnyUrl) -> types.EmptyResult:
"""Send a resources/subscribe request."""
return self.send_request(
types.ClientRequest(
types.SubscribeRequest(
method="resources/subscribe",
params=types.SubscribeRequestParams(uri=uri),
)
),
types.EmptyResult,
)
def unsubscribe_resource(self, uri: AnyUrl) -> types.EmptyResult:
"""Send a resources/unsubscribe request."""
return self.send_request(
types.ClientRequest(
types.UnsubscribeRequest(
method="resources/unsubscribe",
params=types.UnsubscribeRequestParams(uri=uri),
)
),
types.EmptyResult,
)
def call_tool(
self,
name: str,
arguments: dict[str, Any] | None = None,
read_timeout_seconds: timedelta | None = None,
) -> types.CallToolResult:
"""Send a tools/call request."""
return self.send_request(
types.ClientRequest(
types.CallToolRequest(
method="tools/call",
params=types.CallToolRequestParams(name=name, arguments=arguments),
)
),
types.CallToolResult,
request_read_timeout_seconds=read_timeout_seconds,
)
def list_prompts(self) -> types.ListPromptsResult:
"""Send a prompts/list request."""
return self.send_request(
types.ClientRequest(
types.ListPromptsRequest(
method="prompts/list",
)
),
types.ListPromptsResult,
)
def get_prompt(self, name: str, arguments: dict[str, str] | None = None) -> types.GetPromptResult:
"""Send a prompts/get request."""
return self.send_request(
types.ClientRequest(
types.GetPromptRequest(
method="prompts/get",
params=types.GetPromptRequestParams(name=name, arguments=arguments),
)
),
types.GetPromptResult,
)
def complete(
self,
ref: types.ResourceReference | types.PromptReference,
argument: dict[str, str],
) -> types.CompleteResult:
"""Send a completion/complete request."""
return self.send_request(
types.ClientRequest(
types.CompleteRequest(
method="completion/complete",
params=types.CompleteRequestParams(
ref=ref,
argument=types.CompletionArgument(**argument),
),
)
),
types.CompleteResult,
)
def list_tools(self) -> types.ListToolsResult:
"""Send a tools/list request."""
return self.send_request(
types.ClientRequest(
types.ListToolsRequest(
method="tools/list",
)
),
types.ListToolsResult,
)
def send_roots_list_changed(self) -> None:
"""Send a roots/list_changed notification."""
self.send_notification(
types.ClientNotification(
types.RootsListChangedNotification(
method="notifications/roots/list_changed",
)
)
)
def _received_request(self, responder: RequestResponder[types.ServerRequest, types.ClientResult]) -> None:
ctx = RequestContext[ClientSession, Any](
request_id=responder.request_id,
meta=responder.request_meta,
session=self,
lifespan_context=None,
)
match responder.request.root:
case types.CreateMessageRequest(params=params):
with responder:
response = self._sampling_callback(ctx, params)
client_response = ClientResponse.validate_python(response)
responder.respond(client_response)
case types.ListRootsRequest():
with responder:
list_roots_response = self._list_roots_callback(ctx)
client_response = ClientResponse.validate_python(list_roots_response)
responder.respond(client_response)
case types.PingRequest():
with responder:
return responder.respond(types.ClientResult(root=types.EmptyResult()))
def _handle_incoming(
self,
req: RequestResponder[types.ServerRequest, types.ClientResult] | types.ServerNotification | Exception,
) -> None:
"""Handle incoming messages by forwarding to the message handler."""
self._message_handler(req)
def _received_notification(self, notification: types.ServerNotification) -> None:
"""Handle notifications from the server."""
# Process specific notification types
match notification.root:
case types.LoggingMessageNotification(params=params):
self._logging_callback(params)
case _:
pass

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@ -0,0 +1,114 @@
import json
import httpx
from configs import dify_config
from core.mcp.types import ErrorData, JSONRPCError
from core.model_runtime.utils.encoders import jsonable_encoder
HTTP_REQUEST_NODE_SSL_VERIFY = dify_config.HTTP_REQUEST_NODE_SSL_VERIFY
STATUS_FORCELIST = [429, 500, 502, 503, 504]
def create_ssrf_proxy_mcp_http_client(
headers: dict[str, str] | None = None,
timeout: httpx.Timeout | None = None,
) -> httpx.Client:
"""Create an HTTPX client with SSRF proxy configuration for MCP connections.
Args:
headers: Optional headers to include in the client
timeout: Optional timeout configuration
Returns:
Configured httpx.Client with proxy settings
"""
if dify_config.SSRF_PROXY_ALL_URL:
return httpx.Client(
verify=HTTP_REQUEST_NODE_SSL_VERIFY,
headers=headers or {},
timeout=timeout,
follow_redirects=True,
proxy=dify_config.SSRF_PROXY_ALL_URL,
)
elif dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL:
proxy_mounts = {
"http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL, verify=HTTP_REQUEST_NODE_SSL_VERIFY),
"https://": httpx.HTTPTransport(
proxy=dify_config.SSRF_PROXY_HTTPS_URL, verify=HTTP_REQUEST_NODE_SSL_VERIFY
),
}
return httpx.Client(
verify=HTTP_REQUEST_NODE_SSL_VERIFY,
headers=headers or {},
timeout=timeout,
follow_redirects=True,
mounts=proxy_mounts,
)
else:
return httpx.Client(
verify=HTTP_REQUEST_NODE_SSL_VERIFY,
headers=headers or {},
timeout=timeout,
follow_redirects=True,
)
def ssrf_proxy_sse_connect(url, **kwargs):
"""Connect to SSE endpoint with SSRF proxy protection.
This function creates an SSE connection using the configured proxy settings
to prevent SSRF attacks when connecting to external endpoints.
Args:
url: The SSE endpoint URL
**kwargs: Additional arguments passed to the SSE connection
Returns:
EventSource object for SSE streaming
"""
from httpx_sse import connect_sse
# Extract client if provided, otherwise create one
client = kwargs.pop("client", None)
if client is None:
# Create client with SSRF proxy configuration
timeout = kwargs.pop(
"timeout",
httpx.Timeout(
timeout=dify_config.SSRF_DEFAULT_TIME_OUT,
connect=dify_config.SSRF_DEFAULT_CONNECT_TIME_OUT,
read=dify_config.SSRF_DEFAULT_READ_TIME_OUT,
write=dify_config.SSRF_DEFAULT_WRITE_TIME_OUT,
),
)
headers = kwargs.pop("headers", {})
client = create_ssrf_proxy_mcp_http_client(headers=headers, timeout=timeout)
client_provided = False
else:
client_provided = True
# Extract method if provided, default to GET
method = kwargs.pop("method", "GET")
try:
return connect_sse(client, method, url, **kwargs)
except Exception:
# If we created the client, we need to clean it up on error
if not client_provided:
client.close()
raise
def create_mcp_error_response(request_id: int | str | None, code: int, message: str, data=None):
"""Create MCP error response"""
error_data = ErrorData(code=code, message=message, data=data)
json_response = JSONRPCError(
jsonrpc="2.0",
id=request_id or 1,
error=error_data,
)
json_data = json.dumps(jsonable_encoder(json_response))
sse_content = f"event: message\ndata: {json_data}\n\n".encode()
yield sse_content

@ -1,6 +1,8 @@
from collections.abc import Sequence
from typing import Optional
from sqlalchemy import select
from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
from core.file import file_manager
from core.model_manager import ModelInstance
@ -17,11 +19,15 @@ from core.prompt.utils.extract_thread_messages import extract_thread_messages
from extensions.ext_database import db
from factories import file_factory
from models.model import AppMode, Conversation, Message, MessageFile
from models.workflow import WorkflowRun
from models.workflow import Workflow, WorkflowRun
class TokenBufferMemory:
def __init__(self, conversation: Conversation, model_instance: ModelInstance) -> None:
def __init__(
self,
conversation: Conversation,
model_instance: ModelInstance,
) -> None:
self.conversation = conversation
self.model_instance = model_instance
@ -36,20 +42,8 @@ class TokenBufferMemory:
app_record = self.conversation.app
# fetch limited messages, and return reversed
query = (
db.session.query(
Message.id,
Message.query,
Message.answer,
Message.created_at,
Message.workflow_run_id,
Message.parent_message_id,
Message.answer_tokens,
)
.filter(
Message.conversation_id == self.conversation.id,
)
.order_by(Message.created_at.desc())
stmt = (
select(Message).where(Message.conversation_id == self.conversation.id).order_by(Message.created_at.desc())
)
if message_limit and message_limit > 0:
@ -57,7 +51,9 @@ class TokenBufferMemory:
else:
message_limit = 500
messages = query.limit(message_limit).all()
stmt = stmt.limit(message_limit)
messages = db.session.scalars(stmt).all()
# instead of all messages from the conversation, we only need to extract messages
# that belong to the thread of last message
@ -74,18 +70,20 @@ class TokenBufferMemory:
files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all()
if files:
file_extra_config = None
if self.conversation.mode not in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
if self.conversation.mode in {AppMode.AGENT_CHAT, AppMode.COMPLETION, AppMode.CHAT}:
file_extra_config = FileUploadConfigManager.convert(self.conversation.model_config)
elif self.conversation.mode in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
workflow_run = db.session.scalar(
select(WorkflowRun).where(WorkflowRun.id == message.workflow_run_id)
)
if not workflow_run:
raise ValueError(f"Workflow run not found: {message.workflow_run_id}")
workflow = db.session.scalar(select(Workflow).where(Workflow.id == workflow_run.workflow_id))
if not workflow:
raise ValueError(f"Workflow not found: {workflow_run.workflow_id}")
file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
else:
if message.workflow_run_id:
workflow_run = (
db.session.query(WorkflowRun).filter(WorkflowRun.id == message.workflow_run_id).first()
)
if workflow_run and workflow_run.workflow:
file_extra_config = FileUploadConfigManager.convert(
workflow_run.workflow.features_dict, is_vision=False
)
raise AssertionError(f"Invalid app mode: {self.conversation.mode}")
detail = ImagePromptMessageContent.DETAIL.LOW
if file_extra_config and app_record:

@ -123,6 +123,8 @@ class ProviderEntity(BaseModel):
description: Optional[I18nObject] = None
icon_small: Optional[I18nObject] = None
icon_large: Optional[I18nObject] = None
icon_small_dark: Optional[I18nObject] = None
icon_large_dark: Optional[I18nObject] = None
background: Optional[str] = None
help: Optional[ProviderHelpEntity] = None
supported_model_types: Sequence[ModelType]

@ -28,7 +28,7 @@ from core.ops.langfuse_trace.entities.langfuse_trace_entity import (
UnitEnum,
)
from core.ops.utils import filter_none_values
from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
from core.repositories import DifyCoreRepositoryFactory
from core.workflow.nodes.enums import NodeType
from extensions.ext_database import db
from models import EndUser, WorkflowNodeExecutionTriggeredFrom
@ -123,10 +123,10 @@ class LangFuseDataTrace(BaseTraceInstance):
service_account = self.get_service_account_with_tenant(app_id)
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=service_account,
app_id=trace_info.metadata.get("app_id"),
app_id=app_id,
triggered_from=WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
)

@ -27,7 +27,7 @@ from core.ops.langsmith_trace.entities.langsmith_trace_entity import (
LangSmithRunUpdateModel,
)
from core.ops.utils import filter_none_values, generate_dotted_order
from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
from core.repositories import DifyCoreRepositoryFactory
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
from core.workflow.nodes.enums import NodeType
from extensions.ext_database import db
@ -145,10 +145,10 @@ class LangSmithDataTrace(BaseTraceInstance):
service_account = self.get_service_account_with_tenant(app_id)
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=service_account,
app_id=trace_info.metadata.get("app_id"),
app_id=app_id,
triggered_from=WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
)

@ -21,7 +21,7 @@ from core.ops.entities.trace_entity import (
TraceTaskName,
WorkflowTraceInfo,
)
from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
from core.repositories import DifyCoreRepositoryFactory
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
from core.workflow.nodes.enums import NodeType
from extensions.ext_database import db
@ -160,10 +160,10 @@ class OpikDataTrace(BaseTraceInstance):
service_account = self.get_service_account_with_tenant(app_id)
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=service_account,
app_id=trace_info.metadata.get("app_id"),
app_id=app_id,
triggered_from=WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
)
@ -241,7 +241,7 @@ class OpikDataTrace(BaseTraceInstance):
"trace_id": opik_trace_id,
"id": prepare_opik_uuid(created_at, node_execution_id),
"parent_span_id": prepare_opik_uuid(trace_info.start_time, parent_span_id),
"name": node_type,
"name": node_name,
"type": run_type,
"start_time": created_at,
"end_time": finished_at,

@ -22,7 +22,7 @@ from core.ops.entities.trace_entity import (
WorkflowTraceInfo,
)
from core.ops.weave_trace.entities.weave_trace_entity import WeaveTraceModel
from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
from core.repositories import DifyCoreRepositoryFactory
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
from core.workflow.nodes.enums import NodeType
from extensions.ext_database import db
@ -144,10 +144,10 @@ class WeaveDataTrace(BaseTraceInstance):
service_account = self.get_service_account_with_tenant(app_id)
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
session_factory=session_factory,
user=service_account,
app_id=trace_info.metadata.get("app_id"),
app_id=app_id,
triggered_from=WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
)

@ -43,6 +43,19 @@ class PluginParameterType(enum.StrEnum):
# deprecated, should not use.
SYSTEM_FILES = CommonParameterType.SYSTEM_FILES.value
# MCP object and array type parameters
ARRAY = CommonParameterType.ARRAY.value
OBJECT = CommonParameterType.OBJECT.value
class MCPServerParameterType(enum.StrEnum):
"""
MCP server got complex parameter types
"""
ARRAY = "array"
OBJECT = "object"
class PluginParameterAutoGenerate(BaseModel):
class Type(enum.StrEnum):
@ -138,6 +151,34 @@ def cast_parameter_value(typ: enum.StrEnum, value: Any, /):
if value and not isinstance(value, list):
raise ValueError("The tools selector must be a list.")
return value
case PluginParameterType.ARRAY:
if not isinstance(value, list):
# Try to parse JSON string for arrays
if isinstance(value, str):
try:
import json
parsed_value = json.loads(value)
if isinstance(parsed_value, list):
return parsed_value
except (json.JSONDecodeError, ValueError):
pass
return [value]
return value
case PluginParameterType.OBJECT:
if not isinstance(value, dict):
# Try to parse JSON string for objects
if isinstance(value, str):
try:
import json
parsed_value = json.loads(value)
if isinstance(parsed_value, dict):
return parsed_value
except (json.JSONDecodeError, ValueError):
pass
return {}
return value
case _:
return str(value)
except ValueError:

@ -72,12 +72,14 @@ class PluginDeclaration(BaseModel):
class Meta(BaseModel):
minimum_dify_version: Optional[str] = Field(default=None, pattern=r"^\d{1,4}(\.\d{1,4}){1,3}(-\w{1,16})?$")
version: Optional[str] = Field(default=None)
version: str = Field(..., pattern=r"^\d{1,4}(\.\d{1,4}){1,3}(-\w{1,16})?$")
author: Optional[str] = Field(..., pattern=r"^[a-zA-Z0-9_-]{1,64}$")
name: str = Field(..., pattern=r"^[a-z0-9_-]{1,128}$")
description: I18nObject
icon: str
icon_dark: Optional[str] = Field(default=None)
label: I18nObject
category: PluginCategory
created_at: datetime.datetime

@ -53,6 +53,7 @@ class PluginAgentProviderEntity(BaseModel):
plugin_unique_identifier: str
plugin_id: str
declaration: AgentProviderEntityWithPlugin
meta: PluginDeclaration.Meta
class PluginBasicBooleanResponse(BaseModel):

@ -32,7 +32,7 @@ class RequestInvokeTool(BaseModel):
Request to invoke a tool
"""
tool_type: Literal["builtin", "workflow", "api"]
tool_type: Literal["builtin", "workflow", "api", "mcp"]
provider: str
tool: str
tool_parameters: dict

@ -36,7 +36,7 @@ class PluginInstaller(BasePluginClient):
"GET",
f"plugin/{tenant_id}/management/list",
PluginListResponse,
params={"page": 1, "page_size": 256},
params={"page": 1, "page_size": 256, "response_type": "paged"},
)
return result.list
@ -45,7 +45,7 @@ class PluginInstaller(BasePluginClient):
"GET",
f"plugin/{tenant_id}/management/list",
PluginListResponse,
params={"page": page, "page_size": page_size},
params={"page": page, "page_size": page_size, "response_type": "paged"},
)
def upload_pkg(

@ -1,10 +1,11 @@
from typing import Any
from collections.abc import Sequence
from constants import UUID_NIL
from models import Message
def extract_thread_messages(messages: list[Any]):
thread_messages = []
def extract_thread_messages(messages: Sequence[Message]):
thread_messages: list[Message] = []
next_message = None
for message in messages:

@ -1,3 +1,5 @@
from sqlalchemy import select
from core.prompt.utils.extract_thread_messages import extract_thread_messages
from extensions.ext_database import db
from models.model import Message
@ -8,19 +10,9 @@ def get_thread_messages_length(conversation_id: str) -> int:
Get the number of thread messages based on the parent message id.
"""
# Fetch all messages related to the conversation
query = (
db.session.query(
Message.id,
Message.parent_message_id,
Message.answer,
)
.filter(
Message.conversation_id == conversation_id,
)
.order_by(Message.created_at.desc())
)
stmt = select(Message).where(Message.conversation_id == conversation_id).order_by(Message.created_at.desc())
messages = query.all()
messages = db.session.scalars(stmt).all()
# Extract thread messages
thread_messages = extract_thread_messages(messages)

@ -3,7 +3,7 @@ from concurrent.futures import ThreadPoolExecutor
from typing import Optional
from flask import Flask, current_app
from sqlalchemy.orm import load_only
from sqlalchemy.orm import Session, load_only
from configs import dify_config
from core.rag.data_post_processor.data_post_processor import DataPostProcessor
@ -144,7 +144,8 @@ class RetrievalService:
@classmethod
def _get_dataset(cls, dataset_id: str) -> Optional[Dataset]:
return db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
with Session(db.engine) as session:
return session.query(Dataset).filter(Dataset.id == dataset_id).first()
@classmethod
def keyword_search(

@ -47,6 +47,7 @@ class QdrantConfig(BaseModel):
grpc_port: int = 6334
prefer_grpc: bool = False
replication_factor: int = 1
write_consistency_factor: int = 1
def to_qdrant_params(self):
if self.endpoint and self.endpoint.startswith("path:"):
@ -127,6 +128,7 @@ class QdrantVector(BaseVector):
hnsw_config=hnsw_config,
timeout=int(self._client_config.timeout),
replication_factor=self._client_config.replication_factor,
write_consistency_factor=self._client_config.write_consistency_factor,
)
# create group_id payload index

@ -4,6 +4,7 @@ from typing import Any, Optional
import tablestore # type: ignore
from pydantic import BaseModel, model_validator
from tablestore import BatchGetRowRequest, TableInBatchGetRowItem
from configs import dify_config
from core.rag.datasource.vdb.field import Field
@ -50,6 +51,29 @@ class TableStoreVector(BaseVector):
self._index_name = f"{collection_name}_idx"
self._tags_field = f"{Field.METADATA_KEY.value}_tags"
def create_collection(self, embeddings: list[list[float]], **kwargs):
dimension = len(embeddings[0])
self._create_collection(dimension)
def get_by_ids(self, ids: list[str]) -> list[Document]:
docs = []
request = BatchGetRowRequest()
columns_to_get = [Field.METADATA_KEY.value, Field.CONTENT_KEY.value]
rows_to_get = [[("id", _id)] for _id in ids]
request.add(TableInBatchGetRowItem(self._table_name, rows_to_get, columns_to_get, None, 1))
result = self._tablestore_client.batch_get_row(request)
table_result = result.get_result_by_table(self._table_name)
for item in table_result:
if item.is_ok and item.row:
kv = {k: v for k, v, t in item.row.attribute_columns}
docs.append(
Document(
page_content=kv[Field.CONTENT_KEY.value], metadata=json.loads(kv[Field.METADATA_KEY.value])
)
)
return docs
def get_type(self) -> str:
return VectorType.TABLESTORE

@ -122,7 +122,6 @@ class TencentVector(BaseVector):
metric_type,
params,
)
index_text = vdb_index.FilterIndex(self.field_text, enum.FieldType.String, enum.IndexType.FILTER)
index_metadate = vdb_index.FilterIndex(self.field_metadata, enum.FieldType.Json, enum.IndexType.FILTER)
index_sparse_vector = vdb_index.SparseIndex(
name="sparse_vector",
@ -130,7 +129,7 @@ class TencentVector(BaseVector):
index_type=enum.IndexType.SPARSE_INVERTED,
metric_type=enum.MetricType.IP,
)
indexes = [index_id, index_vector, index_text, index_metadate]
indexes = [index_id, index_vector, index_metadate]
if self._enable_hybrid_search:
indexes.append(index_sparse_vector)
try:
@ -149,7 +148,7 @@ class TencentVector(BaseVector):
index_metadate = vdb_index.FilterIndex(
self.field_metadata, enum.FieldType.String, enum.IndexType.FILTER
)
indexes = [index_id, index_vector, index_text, index_metadate]
indexes = [index_id, index_vector, index_metadate]
if self._enable_hybrid_search:
indexes.append(index_sparse_vector)
self._client.create_collection(

@ -1,3 +1,5 @@
import logging
import time
from abc import ABC, abstractmethod
from typing import Any, Optional
@ -13,6 +15,8 @@ from extensions.ext_database import db
from extensions.ext_redis import redis_client
from models.dataset import Dataset, Whitelist
logger = logging.getLogger(__name__)
class AbstractVectorFactory(ABC):
@abstractmethod
@ -173,8 +177,20 @@ class Vector:
def create(self, texts: Optional[list] = None, **kwargs):
if texts:
embeddings = self._embeddings.embed_documents([document.page_content for document in texts])
self._vector_processor.create(texts=texts, embeddings=embeddings, **kwargs)
start = time.time()
logger.info(f"start embedding {len(texts)} texts {start}")
batch_size = 1000
total_batches = len(texts) + batch_size - 1
for i in range(0, len(texts), batch_size):
batch = texts[i : i + batch_size]
batch_start = time.time()
logger.info(f"Processing batch {i // batch_size + 1}/{total_batches} ({len(batch)} texts)")
batch_embeddings = self._embeddings.embed_documents([document.page_content for document in batch])
logger.info(
f"Embedding batch {i // batch_size + 1}/{total_batches} took {time.time() - batch_start:.3f}s"
)
self._vector_processor.create(texts=batch, embeddings=batch_embeddings, **kwargs)
logger.info(f"Embedding {len(texts)} texts took {time.time() - start:.3f}s")
def add_texts(self, documents: list[Document], **kwargs):
if kwargs.get("duplicate_check", False):

@ -9,6 +9,7 @@ from typing import Any, Optional, Union, cast
from flask import Flask, current_app
from sqlalchemy import Float, and_, or_, text
from sqlalchemy import cast as sqlalchemy_cast
from sqlalchemy.orm import Session
from core.app.app_config.entities import (
DatasetEntity,
@ -598,7 +599,8 @@ class DatasetRetrieval:
metadata_condition: Optional[MetadataCondition] = None,
):
with flask_app.app_context():
dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
with Session(db.engine) as session:
dataset = session.query(Dataset).filter(Dataset.id == dataset_id).first()
if not dataset:
return []

@ -5,8 +5,11 @@ This package contains concrete implementations of the repository interfaces
defined in the core.workflow.repository package.
"""
from core.repositories.factory import DifyCoreRepositoryFactory, RepositoryImportError
from core.repositories.sqlalchemy_workflow_node_execution_repository import SQLAlchemyWorkflowNodeExecutionRepository
__all__ = [
"DifyCoreRepositoryFactory",
"RepositoryImportError",
"SQLAlchemyWorkflowNodeExecutionRepository",
]

@ -0,0 +1,224 @@
"""
Repository factory for dynamically creating repository instances based on configuration.
This module provides a Django-like settings system for repository implementations,
allowing users to configure different repository backends through string paths.
"""
import importlib
import inspect
import logging
from typing import Protocol, Union
from sqlalchemy.engine import Engine
from sqlalchemy.orm import sessionmaker
from configs import dify_config
from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
from models import Account, EndUser
from models.enums import WorkflowRunTriggeredFrom
from models.workflow import WorkflowNodeExecutionTriggeredFrom
logger = logging.getLogger(__name__)
class RepositoryImportError(Exception):
"""Raised when a repository implementation cannot be imported or instantiated."""
pass
class DifyCoreRepositoryFactory:
"""
Factory for creating repository instances based on configuration.
This factory supports Django-like settings where repository implementations
are specified as module paths (e.g., 'module.submodule.ClassName').
"""
@staticmethod
def _import_class(class_path: str) -> type:
"""
Import a class from a module path string.
Args:
class_path: Full module path to the class (e.g., 'module.submodule.ClassName')
Returns:
The imported class
Raises:
RepositoryImportError: If the class cannot be imported
"""
try:
module_path, class_name = class_path.rsplit(".", 1)
module = importlib.import_module(module_path)
repo_class = getattr(module, class_name)
assert isinstance(repo_class, type)
return repo_class
except (ValueError, ImportError, AttributeError) as e:
raise RepositoryImportError(f"Cannot import repository class '{class_path}': {e}") from e
@staticmethod
def _validate_repository_interface(repository_class: type, expected_interface: type[Protocol]) -> None: # type: ignore
"""
Validate that a class implements the expected repository interface.
Args:
repository_class: The class to validate
expected_interface: The expected interface/protocol
Raises:
RepositoryImportError: If the class doesn't implement the interface
"""
# Check if the class has all required methods from the protocol
required_methods = [
method
for method in dir(expected_interface)
if not method.startswith("_") and callable(getattr(expected_interface, method, None))
]
missing_methods = []
for method_name in required_methods:
if not hasattr(repository_class, method_name):
missing_methods.append(method_name)
if missing_methods:
raise RepositoryImportError(
f"Repository class '{repository_class.__name__}' does not implement required methods "
f"{missing_methods} from interface '{expected_interface.__name__}'"
)
@staticmethod
def _validate_constructor_signature(repository_class: type, required_params: list[str]) -> None:
"""
Validate that a repository class constructor accepts required parameters.
Args:
repository_class: The class to validate
required_params: List of required parameter names
Raises:
RepositoryImportError: If the constructor doesn't accept required parameters
"""
try:
# MyPy may flag the line below with the following error:
#
# > Accessing "__init__" on an instance is unsound, since
# > instance.__init__ could be from an incompatible subclass.
#
# Despite this, we need to ensure that the constructor of `repository_class`
# has a compatible signature.
signature = inspect.signature(repository_class.__init__) # type: ignore[misc]
param_names = list(signature.parameters.keys())
# Remove 'self' parameter
if "self" in param_names:
param_names.remove("self")
missing_params = [param for param in required_params if param not in param_names]
if missing_params:
raise RepositoryImportError(
f"Repository class '{repository_class.__name__}' constructor does not accept required parameters: "
f"{missing_params}. Expected parameters: {required_params}"
)
except Exception as e:
raise RepositoryImportError(
f"Failed to validate constructor signature for '{repository_class.__name__}': {e}"
) from e
@classmethod
def create_workflow_execution_repository(
cls,
session_factory: Union[sessionmaker, Engine],
user: Union[Account, EndUser],
app_id: str,
triggered_from: WorkflowRunTriggeredFrom,
) -> WorkflowExecutionRepository:
"""
Create a WorkflowExecutionRepository instance based on configuration.
Args:
session_factory: SQLAlchemy sessionmaker or engine
user: Account or EndUser object
app_id: Application ID
triggered_from: Source of the execution trigger
Returns:
Configured WorkflowExecutionRepository instance
Raises:
RepositoryImportError: If the configured repository cannot be created
"""
class_path = dify_config.CORE_WORKFLOW_EXECUTION_REPOSITORY
logger.debug(f"Creating WorkflowExecutionRepository from: {class_path}")
try:
repository_class = cls._import_class(class_path)
cls._validate_repository_interface(repository_class, WorkflowExecutionRepository)
cls._validate_constructor_signature(
repository_class, ["session_factory", "user", "app_id", "triggered_from"]
)
return repository_class( # type: ignore[no-any-return]
session_factory=session_factory,
user=user,
app_id=app_id,
triggered_from=triggered_from,
)
except RepositoryImportError:
# Re-raise our custom errors as-is
raise
except Exception as e:
logger.exception("Failed to create WorkflowExecutionRepository")
raise RepositoryImportError(f"Failed to create WorkflowExecutionRepository from '{class_path}': {e}") from e
@classmethod
def create_workflow_node_execution_repository(
cls,
session_factory: Union[sessionmaker, Engine],
user: Union[Account, EndUser],
app_id: str,
triggered_from: WorkflowNodeExecutionTriggeredFrom,
) -> WorkflowNodeExecutionRepository:
"""
Create a WorkflowNodeExecutionRepository instance based on configuration.
Args:
session_factory: SQLAlchemy sessionmaker or engine
user: Account or EndUser object
app_id: Application ID
triggered_from: Source of the execution trigger
Returns:
Configured WorkflowNodeExecutionRepository instance
Raises:
RepositoryImportError: If the configured repository cannot be created
"""
class_path = dify_config.CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY
logger.debug(f"Creating WorkflowNodeExecutionRepository from: {class_path}")
try:
repository_class = cls._import_class(class_path)
cls._validate_repository_interface(repository_class, WorkflowNodeExecutionRepository)
cls._validate_constructor_signature(
repository_class, ["session_factory", "user", "app_id", "triggered_from"]
)
return repository_class( # type: ignore[no-any-return]
session_factory=session_factory,
user=user,
app_id=app_id,
triggered_from=triggered_from,
)
except RepositoryImportError:
# Re-raise our custom errors as-is
raise
except Exception as e:
logger.exception("Failed to create WorkflowNodeExecutionRepository")
raise RepositoryImportError(
f"Failed to create WorkflowNodeExecutionRepository from '{class_path}': {e}"
) from e

@ -17,6 +17,7 @@ from core.workflow.entities.workflow_execution import (
)
from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter
from libs.helper import extract_tenant_id
from models import (
Account,
CreatorUserRole,
@ -67,7 +68,7 @@ class SQLAlchemyWorkflowExecutionRepository(WorkflowExecutionRepository):
)
# Extract tenant_id from user
tenant_id: str | None = user.tenant_id if isinstance(user, EndUser) else user.current_tenant_id
tenant_id = extract_tenant_id(user)
if not tenant_id:
raise ValueError("User must have a tenant_id or current_tenant_id")
self._tenant_id = tenant_id

@ -20,6 +20,7 @@ from core.workflow.entities.workflow_node_execution import (
from core.workflow.nodes.enums import NodeType
from core.workflow.repositories.workflow_node_execution_repository import OrderConfig, WorkflowNodeExecutionRepository
from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter
from libs.helper import extract_tenant_id
from models import (
Account,
CreatorUserRole,
@ -70,7 +71,7 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository)
)
# Extract tenant_id from user
tenant_id: str | None = user.tenant_id if isinstance(user, EndUser) else user.current_tenant_id
tenant_id = extract_tenant_id(user)
if not tenant_id:
raise ValueError("User must have a tenant_id or current_tenant_id")
self._tenant_id = tenant_id

@ -39,19 +39,22 @@ class ApiToolProviderController(ToolProviderController):
type=ProviderConfig.Type.SELECT,
options=[
ProviderConfig.Option(value="none", label=I18nObject(en_US="None", zh_Hans="")),
ProviderConfig.Option(value="api_key", label=I18nObject(en_US="api_key", zh_Hans="api_key")),
ProviderConfig.Option(value="api_key_header", label=I18nObject(en_US="Header", zh_Hans="请求头")),
ProviderConfig.Option(
value="api_key_query", label=I18nObject(en_US="Query Param", zh_Hans="查询参数")
),
],
default="none",
help=I18nObject(en_US="The auth type of the api provider", zh_Hans="api provider 的认证类型"),
)
]
if auth_type == ApiProviderAuthType.API_KEY:
if auth_type == ApiProviderAuthType.API_KEY_HEADER:
credentials_schema = [
*credentials_schema,
ProviderConfig(
name="api_key_header",
required=False,
default="api_key",
default="Authorization",
type=ProviderConfig.Type.TEXT_INPUT,
help=I18nObject(en_US="The header name of the api key", zh_Hans="携带 api key 的 header 名称"),
),
@ -74,6 +77,25 @@ class ApiToolProviderController(ToolProviderController):
],
),
]
elif auth_type == ApiProviderAuthType.API_KEY_QUERY:
credentials_schema = [
*credentials_schema,
ProviderConfig(
name="api_key_query_param",
required=False,
default="key",
type=ProviderConfig.Type.TEXT_INPUT,
help=I18nObject(
en_US="The query parameter name of the api key", zh_Hans="携带 api key 的查询参数名称"
),
),
ProviderConfig(
name="api_key_value",
required=True,
type=ProviderConfig.Type.SECRET_INPUT,
help=I18nObject(en_US="The api key", zh_Hans="api key 的值"),
),
]
elif auth_type == ApiProviderAuthType.NONE:
pass

@ -78,8 +78,8 @@ class ApiTool(Tool):
if "auth_type" not in credentials:
raise ToolProviderCredentialValidationError("Missing auth_type")
if credentials["auth_type"] == "api_key":
api_key_header = "api_key"
if credentials["auth_type"] in ("api_key_header", "api_key"): # backward compatibility:
api_key_header = "Authorization"
if "api_key_header" in credentials:
api_key_header = credentials["api_key_header"]
@ -100,6 +100,11 @@ class ApiTool(Tool):
headers[api_key_header] = credentials["api_key_value"]
elif credentials["auth_type"] == "api_key_query":
# For query parameter authentication, we don't add anything to headers
# The query parameter will be added in do_http_request method
pass
needed_parameters = [parameter for parameter in (self.api_bundle.parameters or []) if parameter.required]
for parameter in needed_parameters:
if parameter.required and parameter.name not in parameters:
@ -154,6 +159,15 @@ class ApiTool(Tool):
cookies = {}
files = []
# Add API key to query parameters if auth_type is api_key_query
if self.runtime and self.runtime.credentials:
credentials = self.runtime.credentials
if credentials.get("auth_type") == "api_key_query":
api_key_query_param = credentials.get("api_key_query_param", "key")
api_key_value = credentials.get("api_key_value")
if api_key_value:
params[api_key_query_param] = api_key_value
# check parameters
for parameter in self.api_bundle.openapi.get("parameters", []):
value = self.get_parameter_value(parameter, parameters)
@ -213,7 +227,8 @@ class ApiTool(Tool):
elif "default" in property:
body[name] = property["default"]
else:
body[name] = None
# omit optional parameters that weren't provided, instead of setting them to None
pass
break
# replace path parameters

@ -1,4 +1,5 @@
from typing import Literal, Optional
from datetime import datetime
from typing import Any, Literal, Optional
from pydantic import BaseModel, Field, field_validator
@ -18,7 +19,7 @@ class ToolApiEntity(BaseModel):
output_schema: Optional[dict] = None
ToolProviderTypeApiLiteral = Optional[Literal["builtin", "api", "workflow"]]
ToolProviderTypeApiLiteral = Optional[Literal["builtin", "api", "workflow", "mcp"]]
class ToolProviderApiEntity(BaseModel):
@ -27,6 +28,7 @@ class ToolProviderApiEntity(BaseModel):
name: str # identifier
description: I18nObject
icon: str | dict
icon_dark: Optional[str | dict] = Field(default=None, description="The dark icon of the tool")
label: I18nObject # label
type: ToolProviderType
masked_credentials: Optional[dict] = None
@ -37,6 +39,10 @@ class ToolProviderApiEntity(BaseModel):
plugin_unique_identifier: Optional[str] = Field(default="", description="The unique identifier of the tool")
tools: list[ToolApiEntity] = Field(default_factory=list)
labels: list[str] = Field(default_factory=list)
# MCP
server_url: Optional[str] = Field(default="", description="The server url of the tool")
updated_at: int = Field(default_factory=lambda: int(datetime.now().timestamp()))
server_identifier: Optional[str] = Field(default="", description="The server identifier of the MCP tool")
@field_validator("tools", mode="before")
@classmethod
@ -52,8 +58,13 @@ class ToolProviderApiEntity(BaseModel):
for parameter in tool.get("parameters"):
if parameter.get("type") == ToolParameter.ToolParameterType.SYSTEM_FILES.value:
parameter["type"] = "files"
if parameter.get("input_schema") is None:
parameter.pop("input_schema", None)
# -------------
optional_fields = self.optional_field("server_url", self.server_url)
if self.type == ToolProviderType.MCP.value:
optional_fields.update(self.optional_field("updated_at", self.updated_at))
optional_fields.update(self.optional_field("server_identifier", self.server_identifier))
return {
"id": self.id,
"author": self.author,
@ -62,6 +73,7 @@ class ToolProviderApiEntity(BaseModel):
"plugin_unique_identifier": self.plugin_unique_identifier,
"description": self.description.to_dict(),
"icon": self.icon,
"icon_dark": self.icon_dark,
"label": self.label.to_dict(),
"type": self.type.value,
"team_credentials": self.masked_credentials,
@ -69,4 +81,9 @@ class ToolProviderApiEntity(BaseModel):
"allow_delete": self.allow_delete,
"tools": tools,
"labels": self.labels,
**optional_fields,
}
def optional_field(self, key: str, value: Any) -> dict:
"""Return dict with key-value if value is truthy, empty dict otherwise."""
return {key: value} if value else {}

@ -8,6 +8,7 @@ from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_seriali
from core.entities.provider_entities import ProviderConfig
from core.plugin.entities.parameters import (
MCPServerParameterType,
PluginParameter,
PluginParameterOption,
PluginParameterType,
@ -49,6 +50,7 @@ class ToolProviderType(enum.StrEnum):
API = "api"
APP = "app"
DATASET_RETRIEVAL = "dataset-retrieval"
MCP = "mcp"
@classmethod
def value_of(cls, value: str) -> "ToolProviderType":
@ -94,7 +96,8 @@ class ApiProviderAuthType(Enum):
"""
NONE = "none"
API_KEY = "api_key"
API_KEY_HEADER = "api_key_header"
API_KEY_QUERY = "api_key_query"
@classmethod
def value_of(cls, value: str) -> "ApiProviderAuthType":
@ -242,6 +245,10 @@ class ToolParameter(PluginParameter):
MODEL_SELECTOR = PluginParameterType.MODEL_SELECTOR.value
DYNAMIC_SELECT = PluginParameterType.DYNAMIC_SELECT.value
# MCP object and array type parameters
ARRAY = MCPServerParameterType.ARRAY.value
OBJECT = MCPServerParameterType.OBJECT.value
# deprecated, should not use.
SYSTEM_FILES = PluginParameterType.SYSTEM_FILES.value
@ -260,6 +267,8 @@ class ToolParameter(PluginParameter):
human_description: Optional[I18nObject] = Field(default=None, description="The description presented to the user")
form: ToolParameterForm = Field(..., description="The form of the parameter, schema/form/llm")
llm_description: Optional[str] = None
# MCP object and array type parameters use this field to store the schema
input_schema: Optional[dict] = None
@classmethod
def get_simple_instance(
@ -309,6 +318,7 @@ class ToolProviderIdentity(BaseModel):
name: str = Field(..., description="The name of the tool")
description: I18nObject = Field(..., description="The description of the tool")
icon: str = Field(..., description="The icon of the tool")
icon_dark: Optional[str] = Field(default=None, description="The dark icon of the tool")
label: I18nObject = Field(..., description="The label of the tool")
tags: Optional[list[ToolLabelEnum]] = Field(
default=[],

@ -0,0 +1,130 @@
import json
from typing import Any
from core.mcp.types import Tool as RemoteMCPTool
from core.tools.__base.tool_provider import ToolProviderController
from core.tools.__base.tool_runtime import ToolRuntime
from core.tools.entities.common_entities import I18nObject
from core.tools.entities.tool_entities import (
ToolDescription,
ToolEntity,
ToolIdentity,
ToolProviderEntityWithPlugin,
ToolProviderIdentity,
ToolProviderType,
)
from core.tools.mcp_tool.tool import MCPTool
from models.tools import MCPToolProvider
from services.tools.tools_transform_service import ToolTransformService
class MCPToolProviderController(ToolProviderController):
provider_id: str
entity: ToolProviderEntityWithPlugin
def __init__(self, entity: ToolProviderEntityWithPlugin, provider_id: str, tenant_id: str, server_url: str) -> None:
super().__init__(entity)
self.entity = entity
self.tenant_id = tenant_id
self.provider_id = provider_id
self.server_url = server_url
@property
def provider_type(self) -> ToolProviderType:
"""
returns the type of the provider
:return: type of the provider
"""
return ToolProviderType.MCP
@classmethod
def _from_db(cls, db_provider: MCPToolProvider) -> "MCPToolProviderController":
"""
from db provider
"""
tools = []
tools_data = json.loads(db_provider.tools)
remote_mcp_tools = [RemoteMCPTool(**tool) for tool in tools_data]
user = db_provider.load_user()
tools = [
ToolEntity(
identity=ToolIdentity(
author=user.name if user else "Anonymous",
name=remote_mcp_tool.name,
label=I18nObject(en_US=remote_mcp_tool.name, zh_Hans=remote_mcp_tool.name),
provider=db_provider.server_identifier,
icon=db_provider.icon,
),
parameters=ToolTransformService.convert_mcp_schema_to_parameter(remote_mcp_tool.inputSchema),
description=ToolDescription(
human=I18nObject(
en_US=remote_mcp_tool.description or "", zh_Hans=remote_mcp_tool.description or ""
),
llm=remote_mcp_tool.description or "",
),
output_schema=None,
has_runtime_parameters=len(remote_mcp_tool.inputSchema) > 0,
)
for remote_mcp_tool in remote_mcp_tools
]
return cls(
entity=ToolProviderEntityWithPlugin(
identity=ToolProviderIdentity(
author=user.name if user else "Anonymous",
name=db_provider.name,
label=I18nObject(en_US=db_provider.name, zh_Hans=db_provider.name),
description=I18nObject(en_US="", zh_Hans=""),
icon=db_provider.icon,
),
plugin_id=None,
credentials_schema=[],
tools=tools,
),
provider_id=db_provider.server_identifier or "",
tenant_id=db_provider.tenant_id or "",
server_url=db_provider.decrypted_server_url,
)
def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None:
"""
validate the credentials of the provider
"""
pass
def get_tool(self, tool_name: str) -> MCPTool: # type: ignore
"""
return tool with given name
"""
tool_entity = next(
(tool_entity for tool_entity in self.entity.tools if tool_entity.identity.name == tool_name), None
)
if not tool_entity:
raise ValueError(f"Tool with name {tool_name} not found")
return MCPTool(
entity=tool_entity,
runtime=ToolRuntime(tenant_id=self.tenant_id),
tenant_id=self.tenant_id,
icon=self.entity.identity.icon,
server_url=self.server_url,
provider_id=self.provider_id,
)
def get_tools(self) -> list[MCPTool]: # type: ignore
"""
get all tools
"""
return [
MCPTool(
entity=tool_entity,
runtime=ToolRuntime(tenant_id=self.tenant_id),
tenant_id=self.tenant_id,
icon=self.entity.identity.icon,
server_url=self.server_url,
provider_id=self.provider_id,
)
for tool_entity in self.entity.tools
]

@ -0,0 +1,92 @@
import base64
import json
from collections.abc import Generator
from typing import Any, Optional
from core.mcp.error import MCPAuthError, MCPConnectionError
from core.mcp.mcp_client import MCPClient
from core.mcp.types import ImageContent, TextContent
from core.tools.__base.tool import Tool
from core.tools.__base.tool_runtime import ToolRuntime
from core.tools.entities.tool_entities import ToolEntity, ToolInvokeMessage, ToolParameter, ToolProviderType
class MCPTool(Tool):
tenant_id: str
icon: str
runtime_parameters: Optional[list[ToolParameter]]
server_url: str
provider_id: str
def __init__(
self, entity: ToolEntity, runtime: ToolRuntime, tenant_id: str, icon: str, server_url: str, provider_id: str
) -> None:
super().__init__(entity, runtime)
self.tenant_id = tenant_id
self.icon = icon
self.runtime_parameters = None
self.server_url = server_url
self.provider_id = provider_id
def tool_provider_type(self) -> ToolProviderType:
return ToolProviderType.MCP
def _invoke(
self,
user_id: str,
tool_parameters: dict[str, Any],
conversation_id: Optional[str] = None,
app_id: Optional[str] = None,
message_id: Optional[str] = None,
) -> Generator[ToolInvokeMessage, None, None]:
from core.tools.errors import ToolInvokeError
try:
with MCPClient(self.server_url, self.provider_id, self.tenant_id, authed=True) as mcp_client:
tool_parameters = self._handle_none_parameter(tool_parameters)
result = mcp_client.invoke_tool(tool_name=self.entity.identity.name, tool_args=tool_parameters)
except MCPAuthError as e:
raise ToolInvokeError("Please auth the tool first") from e
except MCPConnectionError as e:
raise ToolInvokeError(f"Failed to connect to MCP server: {e}") from e
except Exception as e:
raise ToolInvokeError(f"Failed to invoke tool: {e}") from e
for content in result.content:
if isinstance(content, TextContent):
try:
content_json = json.loads(content.text)
if isinstance(content_json, dict):
yield self.create_json_message(content_json)
elif isinstance(content_json, list):
for item in content_json:
yield self.create_json_message(item)
else:
yield self.create_text_message(content.text)
except json.JSONDecodeError:
yield self.create_text_message(content.text)
elif isinstance(content, ImageContent):
yield self.create_blob_message(
blob=base64.b64decode(content.data), meta={"mime_type": content.mimeType}
)
def fork_tool_runtime(self, runtime: ToolRuntime) -> "MCPTool":
return MCPTool(
entity=self.entity,
runtime=runtime,
tenant_id=self.tenant_id,
icon=self.icon,
server_url=self.server_url,
provider_id=self.provider_id,
)
def _handle_none_parameter(self, parameter: dict[str, Any]) -> dict[str, Any]:
"""
in mcp tool invoke, if the parameter is empty, it will be set to None
"""
return {
key: value
for key, value in parameter.items()
if value is not None and not (isinstance(value, str) and value.strip() == "")
}

@ -9,9 +9,10 @@ from configs import dify_config
def sign_tool_file(tool_file_id: str, extension: str) -> str:
"""
sign file to get a temporary url
sign file to get a temporary url for plugin access
"""
base_url = dify_config.FILES_URL
# Use internal URL for plugin/tool file access in Docker environments
base_url = dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL
file_preview_url = f"{base_url}/files/tools/{tool_file_id}{extension}"
timestamp = str(int(time.time()))

@ -35,9 +35,10 @@ class ToolFileManager:
@staticmethod
def sign_file(tool_file_id: str, extension: str) -> str:
"""
sign file to get a temporary url
sign file to get a temporary url for plugin access
"""
base_url = dify_config.FILES_URL
# Use internal URL for plugin/tool file access in Docker environments
base_url = dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL
file_preview_url = f"{base_url}/files/tools/{tool_file_id}{extension}"
timestamp = str(int(time.time()))

@ -4,7 +4,7 @@ import mimetypes
from collections.abc import Generator
from os import listdir, path
from threading import Lock
from typing import TYPE_CHECKING, Any, Union, cast
from typing import TYPE_CHECKING, Any, Literal, Optional, Union, cast
from yarl import URL
@ -13,9 +13,13 @@ from core.plugin.entities.plugin import ToolProviderID
from core.plugin.impl.tool import PluginToolManager
from core.tools.__base.tool_provider import ToolProviderController
from core.tools.__base.tool_runtime import ToolRuntime
from core.tools.mcp_tool.provider import MCPToolProviderController
from core.tools.mcp_tool.tool import MCPTool
from core.tools.plugin_tool.provider import PluginToolProviderController
from core.tools.plugin_tool.tool import PluginTool
from core.tools.workflow_as_tool.provider import WorkflowToolProviderController
from core.workflow.entities.variable_pool import VariablePool
from services.tools.mcp_tools_mange_service import MCPToolManageService
if TYPE_CHECKING:
from core.workflow.nodes.tool.entities import ToolEntity
@ -49,7 +53,7 @@ from core.tools.utils.configuration import (
)
from core.tools.workflow_as_tool.tool import WorkflowTool
from extensions.ext_database import db
from models.tools import ApiToolProvider, BuiltinToolProvider, WorkflowToolProvider
from models.tools import ApiToolProvider, BuiltinToolProvider, MCPToolProvider, WorkflowToolProvider
from services.tools.tools_transform_service import ToolTransformService
logger = logging.getLogger(__name__)
@ -156,7 +160,7 @@ class ToolManager:
tenant_id: str,
invoke_from: InvokeFrom = InvokeFrom.DEBUGGER,
tool_invoke_from: ToolInvokeFrom = ToolInvokeFrom.AGENT,
) -> Union[BuiltinTool, PluginTool, ApiTool, WorkflowTool]:
) -> Union[BuiltinTool, PluginTool, ApiTool, WorkflowTool, MCPTool]:
"""
get the tool runtime
@ -292,6 +296,8 @@ class ToolManager:
raise NotImplementedError("app provider not implemented")
elif provider_type == ToolProviderType.PLUGIN:
return cls.get_plugin_provider(provider_id, tenant_id).get_tool(tool_name)
elif provider_type == ToolProviderType.MCP:
return cls.get_mcp_provider_controller(tenant_id, provider_id).get_tool(tool_name)
else:
raise ToolProviderNotFoundError(f"provider type {provider_type.value} not found")
@ -302,6 +308,7 @@ class ToolManager:
app_id: str,
agent_tool: AgentToolEntity,
invoke_from: InvokeFrom = InvokeFrom.DEBUGGER,
variable_pool: Optional[VariablePool] = None,
) -> Tool:
"""
get the agent tool runtime
@ -316,24 +323,9 @@ class ToolManager:
)
runtime_parameters = {}
parameters = tool_entity.get_merged_runtime_parameters()
for parameter in parameters:
# check file types
if (
parameter.type
in {
ToolParameter.ToolParameterType.SYSTEM_FILES,
ToolParameter.ToolParameterType.FILE,
ToolParameter.ToolParameterType.FILES,
}
and parameter.required
):
raise ValueError(f"file type parameter {parameter.name} not supported in agent")
if parameter.form == ToolParameter.ToolParameterForm.FORM:
# save tool parameter to tool entity memory
value = parameter.init_frontend_parameter(agent_tool.tool_parameters.get(parameter.name))
runtime_parameters[parameter.name] = value
runtime_parameters = cls._convert_tool_parameters_type(
parameters, variable_pool, agent_tool.tool_parameters, typ="agent"
)
# decrypt runtime parameters
encryption_manager = ToolParameterConfigurationManager(
tenant_id=tenant_id,
@ -357,10 +349,12 @@ class ToolManager:
node_id: str,
workflow_tool: "ToolEntity",
invoke_from: InvokeFrom = InvokeFrom.DEBUGGER,
variable_pool: Optional[VariablePool] = None,
) -> Tool:
"""
get the workflow tool runtime
"""
tool_runtime = cls.get_tool_runtime(
provider_type=workflow_tool.provider_type,
provider_id=workflow_tool.provider_id,
@ -369,15 +363,11 @@ class ToolManager:
invoke_from=invoke_from,
tool_invoke_from=ToolInvokeFrom.WORKFLOW,
)
runtime_parameters = {}
parameters = tool_runtime.get_merged_runtime_parameters()
for parameter in parameters:
# save tool parameter to tool entity memory
if parameter.form == ToolParameter.ToolParameterForm.FORM:
value = parameter.init_frontend_parameter(workflow_tool.tool_configurations.get(parameter.name))
runtime_parameters[parameter.name] = value
parameters = tool_runtime.get_merged_runtime_parameters()
runtime_parameters = cls._convert_tool_parameters_type(
parameters, variable_pool, workflow_tool.tool_configurations, typ="workflow"
)
# decrypt runtime parameters
encryption_manager = ToolParameterConfigurationManager(
tenant_id=tenant_id,
@ -569,7 +559,7 @@ class ToolManager:
filters = []
if not typ:
filters.extend(["builtin", "api", "workflow"])
filters.extend(["builtin", "api", "workflow", "mcp"])
else:
filters.append(typ)
@ -663,6 +653,10 @@ class ToolManager:
labels=labels.get(provider_controller.provider_id, []),
)
result_providers[f"workflow_provider.{user_provider.name}"] = user_provider
if "mcp" in filters:
mcp_providers = MCPToolManageService.retrieve_mcp_tools(tenant_id, for_list=True)
for mcp_provider in mcp_providers:
result_providers[f"mcp_provider.{mcp_provider.name}"] = mcp_provider
return BuiltinToolProviderSort.sort(list(result_providers.values()))
@ -690,14 +684,47 @@ class ToolManager:
if provider is None:
raise ToolProviderNotFoundError(f"api provider {provider_id} not found")
auth_type = ApiProviderAuthType.NONE
provider_auth_type = provider.credentials.get("auth_type")
if provider_auth_type in ("api_key_header", "api_key"): # backward compatibility
auth_type = ApiProviderAuthType.API_KEY_HEADER
elif provider_auth_type == "api_key_query":
auth_type = ApiProviderAuthType.API_KEY_QUERY
controller = ApiToolProviderController.from_db(
provider,
ApiProviderAuthType.API_KEY if provider.credentials["auth_type"] == "api_key" else ApiProviderAuthType.NONE,
auth_type,
)
controller.load_bundled_tools(provider.tools)
return controller, provider.credentials
@classmethod
def get_mcp_provider_controller(cls, tenant_id: str, provider_id: str) -> MCPToolProviderController:
"""
get the api provider
:param tenant_id: the id of the tenant
:param provider_id: the id of the provider
:return: the provider controller, the credentials
"""
provider: MCPToolProvider | None = (
db.session.query(MCPToolProvider)
.filter(
MCPToolProvider.server_identifier == provider_id,
MCPToolProvider.tenant_id == tenant_id,
)
.first()
)
if provider is None:
raise ToolProviderNotFoundError(f"mcp provider {provider_id} not found")
controller = MCPToolProviderController._from_db(provider)
return controller
@classmethod
def user_get_api_provider(cls, provider: str, tenant_id: str) -> dict:
"""
@ -725,9 +752,16 @@ class ToolManager:
credentials = {}
# package tool provider controller
auth_type = ApiProviderAuthType.NONE
credentials_auth_type = credentials.get("auth_type")
if credentials_auth_type in ("api_key_header", "api_key"): # backward compatibility
auth_type = ApiProviderAuthType.API_KEY_HEADER
elif credentials_auth_type == "api_key_query":
auth_type = ApiProviderAuthType.API_KEY_QUERY
controller = ApiToolProviderController.from_db(
provider_obj,
ApiProviderAuthType.API_KEY if credentials["auth_type"] == "api_key" else ApiProviderAuthType.NONE,
auth_type,
)
# init tool configuration
tool_configuration = ProviderConfigEncrypter(
@ -826,6 +860,22 @@ class ToolManager:
except Exception:
return {"background": "#252525", "content": "\ud83d\ude01"}
@classmethod
def generate_mcp_tool_icon_url(cls, tenant_id: str, provider_id: str) -> dict[str, str] | str:
try:
mcp_provider: MCPToolProvider | None = (
db.session.query(MCPToolProvider)
.filter(MCPToolProvider.tenant_id == tenant_id, MCPToolProvider.server_identifier == provider_id)
.first()
)
if mcp_provider is None:
raise ToolProviderNotFoundError(f"mcp provider {provider_id} not found")
return mcp_provider.provider_icon
except Exception:
return {"background": "#252525", "content": "\ud83d\ude01"}
@classmethod
def get_tool_icon(
cls,
@ -863,8 +913,61 @@ class ToolManager:
except Exception:
return {"background": "#252525", "content": "\ud83d\ude01"}
raise ValueError(f"plugin provider {provider_id} not found")
elif provider_type == ToolProviderType.MCP:
return cls.generate_mcp_tool_icon_url(tenant_id, provider_id)
else:
raise ValueError(f"provider type {provider_type} not found")
@classmethod
def _convert_tool_parameters_type(
cls,
parameters: list[ToolParameter],
variable_pool: Optional[VariablePool],
tool_configurations: dict[str, Any],
typ: Literal["agent", "workflow", "tool"] = "workflow",
) -> dict[str, Any]:
"""
Convert tool parameters type
"""
from core.workflow.nodes.tool.entities import ToolNodeData
from core.workflow.nodes.tool.exc import ToolParameterError
runtime_parameters = {}
for parameter in parameters:
if (
parameter.type
in {
ToolParameter.ToolParameterType.SYSTEM_FILES,
ToolParameter.ToolParameterType.FILE,
ToolParameter.ToolParameterType.FILES,
}
and parameter.required
and typ == "agent"
):
raise ValueError(f"file type parameter {parameter.name} not supported in agent")
# save tool parameter to tool entity memory
if parameter.form == ToolParameter.ToolParameterForm.FORM:
if variable_pool:
config = tool_configurations.get(parameter.name, {})
if not (config and isinstance(config, dict) and config.get("value") is not None):
continue
tool_input = ToolNodeData.ToolInput(**tool_configurations.get(parameter.name, {}))
if tool_input.type == "variable":
variable = variable_pool.get(tool_input.value)
if variable is None:
raise ToolParameterError(f"Variable {tool_input.value} does not exist")
parameter_value = variable.value
elif tool_input.type in {"mixed", "constant"}:
segment_group = variable_pool.convert_template(str(tool_input.value))
parameter_value = segment_group.text
else:
raise ToolParameterError(f"Unknown tool input type '{tool_input.type}'")
runtime_parameters[parameter.name] = parameter_value
else:
value = parameter.init_frontend_parameter(tool_configurations.get(parameter.name))
runtime_parameters[parameter.name] = value
return runtime_parameters
ToolManager.load_hardcoded_providers_cache()

@ -72,21 +72,21 @@ class ProviderConfigEncrypter(BaseModel):
return data
def decrypt(self, data: dict[str, str]) -> dict[str, str]:
def decrypt(self, data: dict[str, str], use_cache: bool = True) -> dict[str, str]:
"""
decrypt tool credentials with tenant id
return a deep copy of credentials with decrypted values
"""
cache = ToolProviderCredentialsCache(
tenant_id=self.tenant_id,
identity_id=f"{self.provider_type}.{self.provider_identity}",
cache_type=ToolProviderCredentialsCacheType.PROVIDER,
)
cached_credentials = cache.get()
if cached_credentials:
return cached_credentials
if use_cache:
cache = ToolProviderCredentialsCache(
tenant_id=self.tenant_id,
identity_id=f"{self.provider_type}.{self.provider_identity}",
cache_type=ToolProviderCredentialsCacheType.PROVIDER,
)
cached_credentials = cache.get()
if cached_credentials:
return cached_credentials
data = self._deep_copy(data)
# get fields need to be decrypted
fields = dict[str, BasicProviderConfig]()
@ -105,7 +105,8 @@ class ProviderConfigEncrypter(BaseModel):
except Exception:
pass
cache.set(data)
if use_cache:
cache.set(data)
return data
def delete_tool_credentials_cache(self):

@ -1,5 +1,4 @@
import re
import uuid
from json import dumps as json_dumps
from json import loads as json_loads
from json.decoder import JSONDecodeError
@ -154,7 +153,7 @@ class ApiBasedToolSchemaParser:
# remove special characters like / to ensure the operation id is valid ^[a-zA-Z0-9_-]{1,64}$
path = re.sub(r"[^a-zA-Z0-9_-]", "", path)
if not path:
path = str(uuid.uuid4())
path = "<root>"
interface["operation"]["operationId"] = f"{path}_{interface['method']}"

@ -8,7 +8,12 @@ from flask_login import current_user
from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod
from core.tools.__base.tool import Tool
from core.tools.__base.tool_runtime import ToolRuntime
from core.tools.entities.tool_entities import ToolEntity, ToolInvokeMessage, ToolParameter, ToolProviderType
from core.tools.entities.tool_entities import (
ToolEntity,
ToolInvokeMessage,
ToolParameter,
ToolProviderType,
)
from core.tools.errors import ToolInvokeError
from extensions.ext_database import db
from factories.file_factory import build_from_mapping

@ -232,14 +232,14 @@ class WorkflowLoggingCallback(WorkflowCallback):
Publish loop started
"""
self.print_text("\n[LoopRunStartedEvent]", color="blue")
self.print_text(f"Loop Node ID: {event.loop_id}", color="blue")
self.print_text(f"Loop Node ID: {event.loop_node_id}", color="blue")
def on_workflow_loop_next(self, event: LoopRunNextEvent) -> None:
"""
Publish loop next
"""
self.print_text("\n[LoopRunNextEvent]", color="blue")
self.print_text(f"Loop Node ID: {event.loop_id}", color="blue")
self.print_text(f"Loop Node ID: {event.loop_node_id}", color="blue")
self.print_text(f"Loop Index: {event.index}", color="blue")
def on_workflow_loop_completed(self, event: LoopRunSucceededEvent | LoopRunFailedEvent) -> None:
@ -250,7 +250,7 @@ class WorkflowLoggingCallback(WorkflowCallback):
"\n[LoopRunSucceededEvent]" if isinstance(event, LoopRunSucceededEvent) else "\n[LoopRunFailedEvent]",
color="blue",
)
self.print_text(f"Node ID: {event.loop_id}", color="blue")
self.print_text(f"Loop Node ID: {event.loop_node_id}", color="blue")
def print_text(self, text: str, color: Optional[str] = None, end: str = "\n") -> None:
"""Print text with highlighting and no end characters."""

@ -334,7 +334,7 @@ class Graph(BaseModel):
parallel = GraphParallel(
start_from_node_id=start_node_id,
parent_parallel_id=parent_parallel.id if parent_parallel else None,
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel.start_from_node_id if parent_parallel else None,
)
parallel_mapping[parallel.id] = parallel

@ -3,11 +3,13 @@ import uuid
from collections.abc import Generator, Mapping, Sequence
from typing import Any, Optional, cast
from packaging.version import Version
from sqlalchemy import select
from sqlalchemy.orm import Session
from core.agent.entities import AgentToolEntity
from core.agent.plugin_entities import AgentStrategyParameter
from core.agent.strategy.plugin import PluginAgentStrategy
from core.memory.token_buffer_memory import TokenBufferMemory
from core.model_manager import ModelInstance, ModelManager
from core.model_runtime.entities.model_entities import AIModelEntity, ModelType
@ -73,12 +75,14 @@ class AgentNode(ToolNode):
agent_parameters=agent_parameters,
variable_pool=self.graph_runtime_state.variable_pool,
node_data=node_data,
strategy=strategy,
)
parameters_for_log = self._generate_agent_parameters(
agent_parameters=agent_parameters,
variable_pool=self.graph_runtime_state.variable_pool,
node_data=node_data,
for_log=True,
strategy=strategy,
)
# get conversation id
@ -155,6 +159,7 @@ class AgentNode(ToolNode):
variable_pool: VariablePool,
node_data: AgentNodeData,
for_log: bool = False,
strategy: PluginAgentStrategy,
) -> dict[str, Any]:
"""
Generate parameters based on the given tool parameters, variable pool, and node data.
@ -207,7 +212,7 @@ class AgentNode(ToolNode):
if parameter.type == "array[tools]":
value = cast(list[dict[str, Any]], value)
value = [tool for tool in value if tool.get("enabled", False)]
value = self._filter_mcp_type_tool(strategy, value)
for tool in value:
if "schemas" in tool:
tool.pop("schemas")
@ -244,9 +249,9 @@ class AgentNode(ToolNode):
)
extra = tool.get("extra", {})
runtime_variable_pool = variable_pool if self.node_data.version != "1" else None
tool_runtime = ToolManager.get_agent_tool_runtime(
self.tenant_id, self.app_id, entity, self.invoke_from
self.tenant_id, self.app_id, entity, self.invoke_from, runtime_variable_pool
)
if tool_runtime.entity.description:
tool_runtime.entity.description.llm = (
@ -398,3 +403,16 @@ class AgentNode(ToolNode):
except ValueError:
model_schema.features.remove(feature)
return model_schema
def _filter_mcp_type_tool(self, strategy: PluginAgentStrategy, tools: list[dict[str, Any]]) -> list[dict[str, Any]]:
"""
Filter MCP type tool
:param strategy: plugin agent strategy
:param tool: tool
:return: filtered tool dict
"""
meta_version = strategy.meta_version
if meta_version and Version(meta_version) > Version("0.0.1"):
return tools
else:
return [tool for tool in tools if tool.get("type") != ToolProviderType.MCP.value]

@ -521,18 +521,52 @@ class IterationNode(BaseNode[IterationNodeData]):
)
return
elif self.node_data.error_handle_mode == ErrorHandleMode.TERMINATED:
yield IterationRunFailedEvent(
iteration_id=self.id,
iteration_node_id=self.node_id,
iteration_node_type=self.node_type,
iteration_node_data=self.node_data,
start_at=start_at,
inputs=inputs,
outputs={"output": None},
steps=len(iterator_list_value),
metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens},
error=event.error,
yield NodeInIterationFailedEvent(
**metadata_event.model_dump(),
)
outputs[current_index] = None
# clean nodes resources
for node_id in iteration_graph.node_ids:
variable_pool.remove([node_id])
# iteration run failed
if self.node_data.is_parallel:
yield IterationRunFailedEvent(
iteration_id=self.id,
iteration_node_id=self.node_id,
iteration_node_type=self.node_type,
iteration_node_data=self.node_data,
parallel_mode_run_id=parallel_mode_run_id,
start_at=start_at,
inputs=inputs,
outputs={"output": outputs},
steps=len(iterator_list_value),
metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens},
error=event.error,
)
else:
yield IterationRunFailedEvent(
iteration_id=self.id,
iteration_node_id=self.node_id,
iteration_node_type=self.node_type,
iteration_node_data=self.node_data,
start_at=start_at,
inputs=inputs,
outputs={"output": outputs},
steps=len(iterator_list_value),
metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens},
error=event.error,
)
# stop the iterator
yield RunCompletedEvent(
run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
error=event.error,
)
)
return
yield metadata_event
current_output_segment = variable_pool.get(self.node_data.output_selector)

@ -144,6 +144,8 @@ class KnowledgeRetrievalNode(LLMNode):
error=str(e),
error_type=type(e).__name__,
)
finally:
db.session.close()
def _fetch_dataset_retriever(self, node_data: KnowledgeRetrievalNodeData, query: str) -> list[dict[str, Any]]:
available_datasets = []
@ -171,6 +173,9 @@ class KnowledgeRetrievalNode(LLMNode):
.all()
)
# avoid blocking at retrieval
db.session.close()
for dataset in results:
# pass if dataset is not available
if not dataset:

@ -73,6 +73,7 @@ NODE_TYPE_CLASSES_MAPPING: Mapping[NodeType, Mapping[str, type[BaseNode]]] = {
},
NodeType.TOOL: {
LATEST_VERSION: ToolNode,
"2": ToolNode,
"1": ToolNode,
},
NodeType.VARIABLE_AGGREGATOR: {
@ -122,6 +123,7 @@ NODE_TYPE_CLASSES_MAPPING: Mapping[NodeType, Mapping[str, type[BaseNode]]] = {
},
NodeType.AGENT: {
LATEST_VERSION: AgentNode,
"2": AgentNode,
"1": AgentNode,
},
}

@ -41,6 +41,10 @@ class ToolNodeData(BaseNodeData, ToolEntity):
def check_type(cls, value, validation_info: ValidationInfo):
typ = value
value = validation_info.data.get("value")
if value is None:
return typ
if typ == "mixed" and not isinstance(value, str):
raise ValueError("value must be a string")
elif typ == "variable":
@ -54,3 +58,22 @@ class ToolNodeData(BaseNodeData, ToolEntity):
return typ
tool_parameters: dict[str, ToolInput]
@field_validator("tool_parameters", mode="before")
@classmethod
def filter_none_tool_inputs(cls, value):
if not isinstance(value, dict):
return value
return {
key: tool_input
for key, tool_input in value.items()
if tool_input is not None and cls._has_valid_value(tool_input)
}
@staticmethod
def _has_valid_value(tool_input):
"""Check if the value is valid"""
if isinstance(tool_input, dict):
return tool_input.get("value") is not None
return getattr(tool_input, "value", None) is not None

@ -67,8 +67,9 @@ class ToolNode(BaseNode[ToolNodeData]):
try:
from core.tools.tool_manager import ToolManager
variable_pool = self.graph_runtime_state.variable_pool if self.node_data.version != "1" else None
tool_runtime = ToolManager.get_workflow_tool_runtime(
self.tenant_id, self.app_id, self.node_id, self.node_data, self.invoke_from
self.tenant_id, self.app_id, self.node_id, self.node_data, self.invoke_from, variable_pool
)
except ToolNodeError as e:
yield RunCompletedEvent(
@ -95,7 +96,6 @@ class ToolNode(BaseNode[ToolNodeData]):
node_data=self.node_data,
for_log=True,
)
# get conversation id
conversation_id = self.graph_runtime_state.variable_pool.get(["sys", SystemVariableKey.CONVERSATION_ID])
@ -285,7 +285,8 @@ class ToolNode(BaseNode[ToolNodeData]):
for key, value in msg_metadata.items()
if key in WorkflowNodeExecutionMetadataKey.__members__.values()
}
json.append(message.message.json_object)
if message.message.json_object is not None:
json.append(message.message.json_object)
elif message.type == ToolInvokeMessage.MessageType.LINK:
assert isinstance(message.message, ToolInvokeMessage.TextMessage)
stream_text = f"Link: {message.message.text}\n"
@ -328,6 +329,7 @@ class ToolNode(BaseNode[ToolNodeData]):
icon = current_plugin.declaration.icon
except StopIteration:
pass
icon_dark = None
try:
builtin_tool = next(
provider
@ -338,10 +340,12 @@ class ToolNode(BaseNode[ToolNodeData]):
if provider.name == dict_metadata["provider"]
)
icon = builtin_tool.icon
icon_dark = builtin_tool.icon_dark
except StopIteration:
pass
dict_metadata["icon"] = icon
dict_metadata["icon_dark"] = icon_dark
message.message.metadata = dict_metadata
agent_log = AgentLogEvent(
id=message.message.id,
@ -369,31 +373,31 @@ class ToolNode(BaseNode[ToolNodeData]):
agent_logs.append(agent_log)
yield agent_log
# Add agent_logs to outputs['json'] to ensure frontend can access thinking process
json_output: dict[str, Any] = {}
if json:
if isinstance(json, list) and len(json) == 1:
# If json is a list with only one element, convert it to a dictionary
json_output = json[0] if isinstance(json[0], dict) else {"data": json[0]}
elif isinstance(json, list):
# If json is a list with multiple elements, create a dictionary containing all data
json_output = {"data": json}
json_output: list[dict[str, Any]] = []
# Step 1: append each agent log as its own dict.
if agent_logs:
# Add agent_logs to json output
json_output["agent_logs"] = [
{
"id": log.id,
"parent_id": log.parent_id,
"error": log.error,
"status": log.status,
"data": log.data,
"label": log.label,
"metadata": log.metadata,
"node_id": log.node_id,
}
for log in agent_logs
]
for log in agent_logs:
json_output.append(
{
"id": log.id,
"parent_id": log.parent_id,
"error": log.error,
"status": log.status,
"data": log.data,
"label": log.label,
"metadata": log.metadata,
"node_id": log.node_id,
}
)
# Step 2: normalize JSON into {"data": [...]}.change json to list[dict]
if json:
json_output.extend(json)
else:
json_output.append({"data": []})
yield RunCompletedEvent(
run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.SUCCEEDED,

@ -10,6 +10,7 @@ def init_app(app: DifyApp):
from controllers.console import bp as console_app_bp
from controllers.files import bp as files_bp
from controllers.inner_api import bp as inner_api_bp
from controllers.mcp import bp as mcp_bp
from controllers.service_api import bp as service_api_bp
from controllers.web import bp as web_bp
@ -46,3 +47,4 @@ def init_app(app: DifyApp):
app.register_blueprint(files_bp)
app.register_blueprint(inner_api_bp)
app.register_blueprint(mcp_bp)

@ -10,7 +10,7 @@ from dify_app import DifyApp
from extensions.ext_database import db
from libs.passport import PassportService
from models.account import Account, Tenant, TenantAccountJoin
from models.model import EndUser
from models.model import AppMCPServer, EndUser
from services.account_service import AccountService
login_manager = flask_login.LoginManager()
@ -74,6 +74,21 @@ def load_user_from_request(request_from_flask_login):
if not end_user:
raise NotFound("End user not found.")
return end_user
elif request.blueprint == "mcp":
server_code = request.view_args.get("server_code") if request.view_args else None
if not server_code:
raise Unauthorized("Invalid Authorization token.")
app_mcp_server = db.session.query(AppMCPServer).filter(AppMCPServer.server_code == server_code).first()
if not app_mcp_server:
raise NotFound("App MCP server not found.")
end_user = (
db.session.query(EndUser)
.filter(EndUser.external_user_id == app_mcp_server.id, EndUser.type == "mcp")
.first()
)
if not end_user:
raise NotFound("End user not found.")
return end_user
@user_logged_in.connect

@ -12,6 +12,7 @@ from flask_login import user_loaded_from_request, user_logged_in # type: ignore
from configs import dify_config
from dify_app import DifyApp
from libs.helper import extract_tenant_id
from models import Account, EndUser
@ -24,11 +25,8 @@ def on_user_loaded(_sender, user: Union["Account", "EndUser"]):
if user:
try:
current_span = get_current_span()
if isinstance(user, Account) and user.current_tenant_id:
tenant_id = user.current_tenant_id
elif isinstance(user, EndUser):
tenant_id = user.tenant_id
else:
tenant_id = extract_tenant_id(user)
if not tenant_id:
return
if current_span:
current_span.set_attribute("service.tenant.id", tenant_id)

@ -1,6 +1,10 @@
import functools
import logging
from collections.abc import Callable
from typing import Any, Union
import redis
from redis import RedisError
from redis.cache import CacheConfig
from redis.cluster import ClusterNode, RedisCluster
from redis.connection import Connection, SSLConnection
@ -9,6 +13,8 @@ from redis.sentinel import Sentinel
from configs import dify_config
from dify_app import DifyApp
logger = logging.getLogger(__name__)
class RedisClientWrapper:
"""
@ -115,3 +121,25 @@ def init_app(app: DifyApp):
redis_client.initialize(redis.Redis(connection_pool=pool))
app.extensions["redis"] = redis_client
def redis_fallback(default_return: Any = None):
"""
decorator to handle Redis operation exceptions and return a default value when Redis is unavailable.
Args:
default_return: The value to return when a Redis operation fails. Defaults to None.
"""
def decorator(func: Callable):
@functools.wraps(func)
def wrapper(*args, **kwargs):
try:
return func(*args, **kwargs)
except RedisError as e:
logger.warning(f"Redis operation failed in {func.__name__}: {str(e)}", exc_info=True)
return default_return
return wrapper
return decorator

@ -10,6 +10,6 @@ def get_plugin_agent_strategy(
agent_provider = manager.fetch_agent_strategy_provider(tenant_id, agent_strategy_provider_name)
for agent_strategy in agent_provider.declaration.strategies:
if agent_strategy.identity.name == agent_strategy_name:
return PluginAgentStrategy(tenant_id, agent_strategy)
return PluginAgentStrategy(tenant_id, agent_strategy, agent_provider.meta.version)
raise ValueError(f"Agent strategy {agent_strategy_name} not found")

@ -1,8 +1,21 @@
import json
from flask_restful import fields
from fields.workflow_fields import workflow_partial_fields
from libs.helper import AppIconUrlField, TimestampField
class JsonStringField(fields.Raw):
def format(self, value):
if isinstance(value, str):
try:
return json.loads(value)
except (json.JSONDecodeError, TypeError):
return value
return value
app_detail_kernel_fields = {
"id": fields.String,
"name": fields.String,
@ -218,3 +231,14 @@ app_import_fields = {
app_import_check_dependencies_fields = {
"leaked_dependencies": fields.List(fields.Nested(leaked_dependency_fields)),
}
app_server_fields = {
"id": fields.String,
"name": fields.String,
"server_code": fields.String,
"description": fields.String,
"status": fields.String,
"parameters": JsonStringField,
"created_at": TimestampField,
"updated_at": TimestampField,
}

@ -17,6 +17,7 @@ class EnvironmentVariableField(fields.Raw):
"name": value.name,
"value": encrypter.obfuscated_token(value.value),
"value_type": value.value_type.value,
"description": value.description,
}
if isinstance(value, Variable):
return {
@ -24,6 +25,7 @@ class EnvironmentVariableField(fields.Raw):
"name": value.name,
"value": value.value,
"value_type": value.value_type.value,
"description": value.description,
}
if isinstance(value, dict):
value_type = value.get("value_type")

@ -25,6 +25,31 @@ from extensions.ext_redis import redis_client
if TYPE_CHECKING:
from models.account import Account
from models.model import EndUser
def extract_tenant_id(user: Union["Account", "EndUser"]) -> str | None:
"""
Extract tenant_id from Account or EndUser object.
Args:
user: Account or EndUser object
Returns:
tenant_id string if available, None otherwise
Raises:
ValueError: If user is neither Account nor EndUser
"""
from models.account import Account
from models.model import EndUser
if isinstance(user, Account):
return user.current_tenant_id
elif isinstance(user, EndUser):
return user.tenant_id
else:
raise ValueError(f"Invalid user type: {type(user)}. Expected Account or EndUser.")
def run(script):

@ -14,9 +14,11 @@ class PassportService:
def verify(self, token):
try:
return jwt.decode(token, self.sk, algorithms=["HS256"])
except jwt.exceptions.ExpiredSignatureError:
raise Unauthorized("Token has expired.")
except jwt.exceptions.InvalidSignatureError:
raise Unauthorized("Invalid token signature.")
except jwt.exceptions.DecodeError:
raise Unauthorized("Invalid token.")
except jwt.exceptions.ExpiredSignatureError:
raise Unauthorized("Token has expired.")
except jwt.exceptions.PyJWTError: # Catch-all for other JWT errors
raise Unauthorized("Invalid token.")

@ -0,0 +1,64 @@
"""add mcp server tool and app server
Revision ID: 58eb7bdb93fe
Revises: 0ab65e1cc7fa
Create Date: 2025-06-25 09:36:07.510570
"""
from alembic import op
import models as models
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '58eb7bdb93fe'
down_revision = '0ab65e1cc7fa'
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('app_mcp_servers',
sa.Column('id', models.types.StringUUID(), server_default=sa.text('uuid_generate_v4()'), nullable=False),
sa.Column('tenant_id', models.types.StringUUID(), nullable=False),
sa.Column('app_id', models.types.StringUUID(), nullable=False),
sa.Column('name', sa.String(length=255), nullable=False),
sa.Column('description', sa.String(length=255), nullable=False),
sa.Column('server_code', sa.String(length=255), nullable=False),
sa.Column('status', sa.String(length=255), server_default=sa.text("'normal'::character varying"), nullable=False),
sa.Column('parameters', sa.Text(), nullable=False),
sa.Column('created_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP'), nullable=False),
sa.Column('updated_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP'), nullable=False),
sa.PrimaryKeyConstraint('id', name='app_mcp_server_pkey'),
sa.UniqueConstraint('tenant_id', 'app_id', name='unique_app_mcp_server_tenant_app_id'),
sa.UniqueConstraint('server_code', name='unique_app_mcp_server_server_code')
)
op.create_table('tool_mcp_providers',
sa.Column('id', models.types.StringUUID(), server_default=sa.text('uuid_generate_v4()'), nullable=False),
sa.Column('name', sa.String(length=40), nullable=False),
sa.Column('server_identifier', sa.String(length=24), nullable=False),
sa.Column('server_url', sa.Text(), nullable=False),
sa.Column('server_url_hash', sa.String(length=64), nullable=False),
sa.Column('icon', sa.String(length=255), nullable=True),
sa.Column('tenant_id', models.types.StringUUID(), nullable=False),
sa.Column('user_id', models.types.StringUUID(), nullable=False),
sa.Column('encrypted_credentials', sa.Text(), nullable=True),
sa.Column('authed', sa.Boolean(), nullable=False),
sa.Column('tools', sa.Text(), nullable=False),
sa.Column('created_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False),
sa.Column('updated_at', sa.DateTime(), server_default=sa.text('CURRENT_TIMESTAMP(0)'), nullable=False),
sa.PrimaryKeyConstraint('id', name='tool_mcp_provider_pkey'),
sa.UniqueConstraint('tenant_id', 'name', name='unique_mcp_provider_name'),
sa.UniqueConstraint('tenant_id', 'server_identifier', name='unique_mcp_provider_server_identifier'),
sa.UniqueConstraint('tenant_id', 'server_url_hash', name='unique_mcp_provider_server_url')
)
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table('tool_mcp_providers')
op.drop_table('app_mcp_servers')
# ### end Alembic commands ###

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