refactor: port reqparse to BaseModel (#28993)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

api/controllers/common/schema.py

@@ -0,0 +1,26 @@
+"""Helpers for registering Pydantic models with Flask-RESTX namespaces."""
+
+from flask_restx import Namespace
+from pydantic import BaseModel
+
+DEFAULT_REF_TEMPLATE_SWAGGER_2_0 = "#/definitions/{model}"
+
+
+def register_schema_model(namespace: Namespace, model: type[BaseModel]) -> None:
+    """Register a single BaseModel with a namespace for Swagger documentation."""
+
+    namespace.schema_model(model.__name__, model.model_json_schema(ref_template=DEFAULT_REF_TEMPLATE_SWAGGER_2_0))
+
+
+def register_schema_models(namespace: Namespace, *models: type[BaseModel]) -> None:
+    """Register multiple BaseModels with a namespace."""
+
+    for model in models:
+        register_schema_model(namespace, model)
+
+
+__all__ = [
+    "DEFAULT_REF_TEMPLATE_SWAGGER_2_0",
+    "register_schema_model",
+    "register_schema_models",
+]

api/controllers/console/app/app.py

@@ -31,7 +31,6 @@ from fields.app_fields import (
 from fields.workflow_fields import workflow_partial_fields as _workflow_partial_fields_dict
 from libs.helper import AppIconUrlField, TimestampField
 from libs.login import current_account_with_tenant, login_required
-from libs.validators import validate_description_length
 from models import App, Workflow
 from services.app_dsl_service import AppDslService, ImportMode
 from services.app_service import AppService
@@ -76,51 +75,30 @@ class AppListQuery(BaseModel):
 
 class CreateAppPayload(BaseModel):
     name: str = Field(..., min_length=1, description="App name")
-    description: str | None = Field(default=None, description="App description (max 400 chars)")
+    description: str | None = Field(default=None, description="App description (max 400 chars)", max_length=400)
     mode: Literal["chat", "agent-chat", "advanced-chat", "workflow", "completion"] = Field(..., description="App mode")
     icon_type: str | None = Field(default=None, description="Icon type")
     icon: str | None = Field(default=None, description="Icon")
     icon_background: str | None = Field(default=None, description="Icon background color")
 
-    @field_validator("description")
-    @classmethod
-    def validate_description(cls, value: str | None) -> str | None:
-        if value is None:
-            return value
-        return validate_description_length(value)
-
 
 class UpdateAppPayload(BaseModel):
     name: str = Field(..., min_length=1, description="App name")
-    description: str | None = Field(default=None, description="App description (max 400 chars)")
+    description: str | None = Field(default=None, description="App description (max 400 chars)", max_length=400)
     icon_type: str | None = Field(default=None, description="Icon type")
     icon: str | None = Field(default=None, description="Icon")
     icon_background: str | None = Field(default=None, description="Icon background color")
     use_icon_as_answer_icon: bool | None = Field(default=None, description="Use icon as answer icon")
     max_active_requests: int | None = Field(default=None, description="Maximum active requests")
 
-    @field_validator("description")
-    @classmethod
-    def validate_description(cls, value: str | None) -> str | None:
-        if value is None:
-            return value
-        return validate_description_length(value)
-
 
 class CopyAppPayload(BaseModel):
     name: str | None = Field(default=None, description="Name for the copied app")
-    description: str | None = Field(default=None, description="Description for the copied app")
+    description: str | None = Field(default=None, description="Description for the copied app", max_length=400)
     icon_type: str | None = Field(default=None, description="Icon type")
     icon: str | None = Field(default=None, description="Icon")
     icon_background: str | None = Field(default=None, description="Icon background color")
 
-    @field_validator("description")
-    @classmethod
-    def validate_description(cls, value: str | None) -> str | None:
-        if value is None:
-            return value
-        return validate_description_length(value)
-
 
 class AppExportQuery(BaseModel):
     include_secret: bool = Field(default=False, description="Include secrets in export")

api/controllers/console/datasets/data_source.py

@@ -1,15 +1,15 @@
 import json
 from collections.abc import Generator
-from typing import cast
+from typing import Any, cast
 
 from flask import request
-from flask_restx import Resource, marshal_with, reqparse
+from flask_restx import Resource, marshal_with
+from pydantic import BaseModel, Field
 from sqlalchemy import select
 from sqlalchemy.orm import Session
 from werkzeug.exceptions import NotFound
 
-from controllers.console import console_ns
-from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.common.schema import register_schema_model
 from core.datasource.entities.datasource_entities import DatasourceProviderType, OnlineDocumentPagesMessage
 from core.datasource.online_document.online_document_plugin import OnlineDocumentDatasourcePlugin
 from core.indexing_runner import IndexingRunner
@@ -25,6 +25,19 @@ from services.dataset_service import DatasetService, DocumentService
 from services.datasource_provider_service import DatasourceProviderService
 from tasks.document_indexing_sync_task import document_indexing_sync_task
 
+from .. import console_ns
+from ..wraps import account_initialization_required, setup_required
+
+
+class NotionEstimatePayload(BaseModel):
+    notion_info_list: list[dict[str, Any]]
+    process_rule: dict[str, Any]
+    doc_form: str = Field(default="text_model")
+    doc_language: str = Field(default="English")
+
+
+register_schema_model(console_ns, NotionEstimatePayload)
+
 
 @console_ns.route(
     "/data-source/integrates",
@@ -243,20 +256,15 @@ class DataSourceNotionApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @console_ns.expect(console_ns.models[NotionEstimatePayload.__name__])
     def post(self):
         _, current_tenant_id = current_account_with_tenant()
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("notion_info_list", type=list, required=True, nullable=True, location="json")
-            .add_argument("process_rule", type=dict, required=True, nullable=True, location="json")
-            .add_argument("doc_form", type=str, default="text_model", required=False, nullable=False, location="json")
-            .add_argument("doc_language", type=str, default="English", required=False, nullable=False, location="json")
-        )
-        args = parser.parse_args()
+        payload = NotionEstimatePayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump()
         # validate args
         DocumentService.estimate_args_validate(args)
-        notion_info_list = args["notion_info_list"]
+        notion_info_list = payload.notion_info_list
         extract_settings = []
         for notion_info in notion_info_list:
             workspace_id = notion_info["workspace_id"]

api/controllers/console/datasets/datasets.py

@@ -1,12 +1,14 @@
 from typing import Any, cast
 
 from flask import request
-from flask_restx import Resource, fields, marshal, marshal_with, reqparse
+from flask_restx import Resource, fields, marshal, marshal_with
+from pydantic import BaseModel, Field, field_validator
 from sqlalchemy import select
 from werkzeug.exceptions import Forbidden, NotFound
 
 import services
 from configs import dify_config
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.apikey import (
     api_key_item_model,
@@ -48,7 +50,6 @@ from fields.dataset_fields import (
 )
 from fields.document_fields import document_status_fields
 from libs.login import current_account_with_tenant, login_required
-from libs.validators import validate_description_length
 from models import ApiToken, Dataset, Document, DocumentSegment, UploadFile
 from models.dataset import DatasetPermissionEnum
 from models.provider_ids import ModelProviderID
@@ -107,10 +108,74 @@ related_app_list_copy["data"] = fields.List(fields.Nested(app_detail_kernel_mode
 related_app_list_model = _get_or_create_model("RelatedAppList", related_app_list_copy)
 
 
-def _validate_name(name: str) -> str:
-    if not name or len(name) < 1 or len(name) > 40:
-        raise ValueError("Name must be between 1 to 40 characters.")
-    return name
+def _validate_indexing_technique(value: str | None) -> str | None:
+    if value is None:
+        return value
+    if value not in Dataset.INDEXING_TECHNIQUE_LIST:
+        raise ValueError("Invalid indexing technique.")
+    return value
+
+
+class DatasetCreatePayload(BaseModel):
+    name: str = Field(..., min_length=1, max_length=40)
+    description: str = Field("", max_length=400)
+    indexing_technique: str | None = None
+    permission: DatasetPermissionEnum | None = DatasetPermissionEnum.ONLY_ME
+    provider: str = "vendor"
+    external_knowledge_api_id: str | None = None
+    external_knowledge_id: str | None = None
+
+    @field_validator("indexing_technique")
+    @classmethod
+    def validate_indexing(cls, value: str | None) -> str | None:
+        return _validate_indexing_technique(value)
+
+    @field_validator("provider")
+    @classmethod
+    def validate_provider(cls, value: str) -> str:
+        if value not in Dataset.PROVIDER_LIST:
+            raise ValueError("Invalid provider.")
+        return value
+
+
+class DatasetUpdatePayload(BaseModel):
+    name: str | None = Field(None, min_length=1, max_length=40)
+    description: str | None = Field(None, max_length=400)
+    permission: DatasetPermissionEnum | None = None
+    indexing_technique: str | None = None
+    embedding_model: str | None = None
+    embedding_model_provider: str | None = None
+    retrieval_model: dict[str, Any] | None = None
+    partial_member_list: list[str] | None = None
+    external_retrieval_model: dict[str, Any] | None = None
+    external_knowledge_id: str | None = None
+    external_knowledge_api_id: str | None = None
+    icon_info: dict[str, Any] | None = None
+
+    @field_validator("indexing_technique")
+    @classmethod
+    def validate_indexing(cls, value: str | None) -> str | None:
+        return _validate_indexing_technique(value)
+
+
+class IndexingEstimatePayload(BaseModel):
+    info_list: dict[str, Any]
+    process_rule: dict[str, Any]
+    indexing_technique: str
+    doc_form: str = "text_model"
+    dataset_id: str | None = None
+    doc_language: str = "English"
+
+    @field_validator("indexing_technique")
+    @classmethod
+    def validate_indexing(cls, value: str) -> str:
+        result = _validate_indexing_technique(value)
+        if result is None:
+            raise ValueError("indexing_technique is required.")
+        return result
+
+
+register_schema_models(console_ns, DatasetCreatePayload, DatasetUpdatePayload, IndexingEstimatePayload)
 
 
 def _get_retrieval_methods_by_vector_type(vector_type: str | None, is_mock: bool = False) -> dict[str, list[str]]:
@@ -255,20 +320,7 @@ class DatasetListApi(Resource):
 
     @console_ns.doc("create_dataset")
     @console_ns.doc(description="Create a new dataset")
-    @console_ns.expect(
-        console_ns.model(
-            "CreateDatasetRequest",
-            {
-                "name": fields.String(required=True, description="Dataset name (1-40 characters)"),
-                "description": fields.String(description="Dataset description (max 400 characters)"),
-                "indexing_technique": fields.String(description="Indexing technique"),
-                "permission": fields.String(description="Dataset permission"),
-                "provider": fields.String(description="Provider"),
-                "external_knowledge_api_id": fields.String(description="External knowledge API ID"),
-                "external_knowledge_id": fields.String(description="External knowledge ID"),
-            },
-        )
-    )
+    @console_ns.expect(console_ns.models[DatasetCreatePayload.__name__])
     @console_ns.response(201, "Dataset created successfully")
     @console_ns.response(400, "Invalid request parameters")
     @setup_required
@@ -276,52 +328,7 @@ class DatasetListApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self):
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "name",
-                nullable=False,
-                required=True,
-                help="type is required. Name must be between 1 to 40 characters.",
-                type=_validate_name,
-            )
-            .add_argument(
-                "description",
-                type=validate_description_length,
-                nullable=True,
-                required=False,
-                default="",
-            )
-            .add_argument(
-                "indexing_technique",
-                type=str,
-                location="json",
-                choices=Dataset.INDEXING_TECHNIQUE_LIST,
-                nullable=True,
-                help="Invalid indexing technique.",
-            )
-            .add_argument(
-                "external_knowledge_api_id",
-                type=str,
-                nullable=True,
-                required=False,
-            )
-            .add_argument(
-                "provider",
-                type=str,
-                nullable=True,
-                choices=Dataset.PROVIDER_LIST,
-                required=False,
-                default="vendor",
-            )
-            .add_argument(
-                "external_knowledge_id",
-                type=str,
-                nullable=True,
-                required=False,
-            )
-        )
-        args = parser.parse_args()
+        payload = DatasetCreatePayload.model_validate(console_ns.payload or {})
         current_user, current_tenant_id = current_account_with_tenant()
 
         # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
@@ -331,14 +338,14 @@ class DatasetListApi(Resource):
         try:
             dataset = DatasetService.create_empty_dataset(
                 tenant_id=current_tenant_id,
-                name=args["name"],
-                description=args["description"],
-                indexing_technique=args["indexing_technique"],
+                name=payload.name,
+                description=payload.description,
+                indexing_technique=payload.indexing_technique,
                 account=current_user,
-                permission=DatasetPermissionEnum.ONLY_ME,
-                provider=args["provider"],
-                external_knowledge_api_id=args["external_knowledge_api_id"],
-                external_knowledge_id=args["external_knowledge_id"],
+                permission=payload.permission or DatasetPermissionEnum.ONLY_ME,
+                provider=payload.provider,
+                external_knowledge_api_id=payload.external_knowledge_api_id,
+                external_knowledge_id=payload.external_knowledge_id,
             )
         except services.errors.dataset.DatasetNameDuplicateError:
             raise DatasetNameDuplicateError()
@@ -399,18 +406,7 @@ class DatasetApi(Resource):
 
     @console_ns.doc("update_dataset")
     @console_ns.doc(description="Update dataset details")
-    @console_ns.expect(
-        console_ns.model(
-            "UpdateDatasetRequest",
-            {
-                "name": fields.String(description="Dataset name"),
-                "description": fields.String(description="Dataset description"),
-                "permission": fields.String(description="Dataset permission"),
-                "indexing_technique": fields.String(description="Indexing technique"),
-                "external_retrieval_model": fields.Raw(description="External retrieval model settings"),
-            },
-        )
-    )
+    @console_ns.expect(console_ns.models[DatasetUpdatePayload.__name__])
     @console_ns.response(200, "Dataset updated successfully", dataset_detail_model)
     @console_ns.response(404, "Dataset not found")
     @console_ns.response(403, "Permission denied")
@@ -424,93 +420,26 @@ class DatasetApi(Resource):
         if dataset is None:
             raise NotFound("Dataset not found.")
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "name",
-                nullable=False,
-                help="type is required. Name must be between 1 to 40 characters.",
-                type=_validate_name,
-            )
-            .add_argument("description", location="json", store_missing=False, type=validate_description_length)
-            .add_argument(
-                "indexing_technique",
-                type=str,
-                location="json",
-                choices=Dataset.INDEXING_TECHNIQUE_LIST,
-                nullable=True,
-                help="Invalid indexing technique.",
-            )
-            .add_argument(
-                "permission",
-                type=str,
-                location="json",
-                choices=(
-                    DatasetPermissionEnum.ONLY_ME,
-                    DatasetPermissionEnum.ALL_TEAM,
-                    DatasetPermissionEnum.PARTIAL_TEAM,
-                ),
-                help="Invalid permission.",
-            )
-            .add_argument("embedding_model", type=str, location="json", help="Invalid embedding model.")
-            .add_argument(
-                "embedding_model_provider", type=str, location="json", help="Invalid embedding model provider."
-            )
-            .add_argument("retrieval_model", type=dict, location="json", help="Invalid retrieval model.")
-            .add_argument("partial_member_list", type=list, location="json", help="Invalid parent user list.")
-            .add_argument(
-                "external_retrieval_model",
-                type=dict,
-                required=False,
-                nullable=True,
-                location="json",
-                help="Invalid external retrieval model.",
-            )
-            .add_argument(
-                "external_knowledge_id",
-                type=str,
-                required=False,
-                nullable=True,
-                location="json",
-                help="Invalid external knowledge id.",
-            )
-            .add_argument(
-                "external_knowledge_api_id",
-                type=str,
-                required=False,
-                nullable=True,
-                location="json",
-                help="Invalid external knowledge api id.",
-            )
-            .add_argument(
-                "icon_info",
-                type=dict,
-                required=False,
-                nullable=True,
-                location="json",
-                help="Invalid icon info.",
-            )
-        )
-        args = parser.parse_args()
-        data = request.get_json()
+        payload = DatasetUpdatePayload.model_validate(console_ns.payload or {})
+        payload_data = payload.model_dump(exclude_unset=True)
         current_user, current_tenant_id = current_account_with_tenant()
 
         # check embedding model setting
         if (
-            data.get("indexing_technique") == "high_quality"
-            and data.get("embedding_model_provider") is not None
-            and data.get("embedding_model") is not None
+            payload.indexing_technique == "high_quality"
+            and payload.embedding_model_provider is not None
+            and payload.embedding_model is not None
         ):
             DatasetService.check_embedding_model_setting(
-                dataset.tenant_id, data.get("embedding_model_provider"), data.get("embedding_model")
+                dataset.tenant_id, payload.embedding_model_provider, payload.embedding_model
             )
 
         # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator
         DatasetPermissionService.check_permission(
-            current_user, dataset, data.get("permission"), data.get("partial_member_list")
+            current_user, dataset, payload.permission, payload.partial_member_list
         )
 
-        dataset = DatasetService.update_dataset(dataset_id_str, args, current_user)
+        dataset = DatasetService.update_dataset(dataset_id_str, payload_data, current_user)
 
         if dataset is None:
             raise NotFound("Dataset not found.")
@@ -518,15 +447,10 @@ class DatasetApi(Resource):
         result_data = cast(dict[str, Any], marshal(dataset, dataset_detail_fields))
         tenant_id = current_tenant_id
 
-        if data.get("partial_member_list") and data.get("permission") == "partial_members":
-            DatasetPermissionService.update_partial_member_list(
-                tenant_id, dataset_id_str, data.get("partial_member_list")
-            )
+        if payload.partial_member_list is not None and payload.permission == DatasetPermissionEnum.PARTIAL_TEAM:
+            DatasetPermissionService.update_partial_member_list(tenant_id, dataset_id_str, payload.partial_member_list)
         # clear partial member list when permission is only_me or all_team_members
-        elif (
-            data.get("permission") == DatasetPermissionEnum.ONLY_ME
-            or data.get("permission") == DatasetPermissionEnum.ALL_TEAM
-        ):
+        elif payload.permission in {DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM}:
             DatasetPermissionService.clear_partial_member_list(dataset_id_str)
 
         partial_member_list = DatasetPermissionService.get_dataset_partial_member_list(dataset_id_str)
@@ -615,24 +539,10 @@ class DatasetIndexingEstimateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @console_ns.expect(console_ns.models[IndexingEstimatePayload.__name__])
     def post(self):
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("info_list", type=dict, required=True, nullable=True, location="json")
-            .add_argument("process_rule", type=dict, required=True, nullable=True, location="json")
-            .add_argument(
-                "indexing_technique",
-                type=str,
-                required=True,
-                choices=Dataset.INDEXING_TECHNIQUE_LIST,
-                nullable=True,
-                location="json",
-            )
-            .add_argument("doc_form", type=str, default="text_model", required=False, nullable=False, location="json")
-            .add_argument("dataset_id", type=str, required=False, nullable=False, location="json")
-            .add_argument("doc_language", type=str, default="English", required=False, nullable=False, location="json")
-        )
-        args = parser.parse_args()
+        payload = IndexingEstimatePayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump()
         _, current_tenant_id = current_account_with_tenant()
         # validate args
         DocumentService.estimate_args_validate(args)

api/controllers/console/datasets/datasets_document.py

@@ -6,31 +6,14 @@ from typing import Literal, cast
 
 import sqlalchemy as sa
 from flask import request
-from flask_restx import Resource, fields, marshal, marshal_with, reqparse
+from flask_restx import Resource, fields, marshal, marshal_with
+from pydantic import BaseModel
 from sqlalchemy import asc, desc, select
 from werkzeug.exceptions import Forbidden, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
-from controllers.console.app.error import (
-    ProviderModelCurrentlyNotSupportError,
-    ProviderNotInitializeError,
-    ProviderQuotaExceededError,
-)
-from controllers.console.datasets.error import (
-    ArchivedDocumentImmutableError,
-    DocumentAlreadyFinishedError,
-    DocumentIndexingError,
-    IndexingEstimateError,
-    InvalidActionError,
-    InvalidMetadataError,
-)
-from controllers.console.wraps import (
-    account_initialization_required,
-    cloud_edition_billing_rate_limit_check,
-    cloud_edition_billing_resource_check,
-    setup_required,
-)
 from core.errors.error import (
     LLMBadRequestError,
     ModelCurrentlyNotSupportError,
@@ -55,10 +38,30 @@ from fields.document_fields import (
 )
 from libs.datetime_utils import naive_utc_now
 from libs.login import current_account_with_tenant, login_required
-from models import Dataset, DatasetProcessRule, Document, DocumentSegment, UploadFile
+from models import DatasetProcessRule, Document, DocumentSegment, UploadFile
 from models.dataset import DocumentPipelineExecutionLog
 from services.dataset_service import DatasetService, DocumentService
-from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig
+from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig, ProcessRule, RetrievalModel
+
+from ..app.error import (
+    ProviderModelCurrentlyNotSupportError,
+    ProviderNotInitializeError,
+    ProviderQuotaExceededError,
+)
+from ..datasets.error import (
+    ArchivedDocumentImmutableError,
+    DocumentAlreadyFinishedError,
+    DocumentIndexingError,
+    IndexingEstimateError,
+    InvalidActionError,
+    InvalidMetadataError,
+)
+from ..wraps import (
+    account_initialization_required,
+    cloud_edition_billing_rate_limit_check,
+    cloud_edition_billing_resource_check,
+    setup_required,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -93,6 +96,24 @@ dataset_and_document_fields_copy["documents"] = fields.List(fields.Nested(docume
 dataset_and_document_model = _get_or_create_model("DatasetAndDocument", dataset_and_document_fields_copy)
 
 
+class DocumentRetryPayload(BaseModel):
+    document_ids: list[str]
+
+
+class DocumentRenamePayload(BaseModel):
+    name: str
+
+
+register_schema_models(
+    console_ns,
+    KnowledgeConfig,
+    ProcessRule,
+    RetrievalModel,
+    DocumentRetryPayload,
+    DocumentRenamePayload,
+)
+
+
 class DocumentResource(Resource):
     def get_document(self, dataset_id: str, document_id: str) -> Document:
         current_user, current_tenant_id = current_account_with_tenant()
@@ -311,6 +332,7 @@ class DatasetDocumentListApi(Resource):
     @marshal_with(dataset_and_document_model)
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_rate_limit_check("knowledge")
+    @console_ns.expect(console_ns.models[KnowledgeConfig.__name__])
     def post(self, dataset_id):
         current_user, _ = current_account_with_tenant()
         dataset_id = str(dataset_id)
@@ -329,23 +351,7 @@ class DatasetDocumentListApi(Resource):
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json"
-            )
-            .add_argument("data_source", type=dict, required=False, location="json")
-            .add_argument("process_rule", type=dict, required=False, location="json")
-            .add_argument("duplicate", type=bool, default=True, nullable=False, location="json")
-            .add_argument("original_document_id", type=str, required=False, location="json")
-            .add_argument("doc_form", type=str, default="text_model", required=False, nullable=False, location="json")
-            .add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
-            .add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
-            .add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
-            .add_argument("doc_language", type=str, default="English", required=False, nullable=False, location="json")
-        )
-        args = parser.parse_args()
-        knowledge_config = KnowledgeConfig.model_validate(args)
+        knowledge_config = KnowledgeConfig.model_validate(console_ns.payload or {})
 
         if not dataset.indexing_technique and not knowledge_config.indexing_technique:
             raise ValueError("indexing_technique is required.")
@@ -391,17 +397,7 @@ class DatasetDocumentListApi(Resource):
 class DatasetInitApi(Resource):
     @console_ns.doc("init_dataset")
     @console_ns.doc(description="Initialize dataset with documents")
-    @console_ns.expect(
-        console_ns.model(
-            "DatasetInitRequest",
-            {
-                "upload_file_id": fields.String(required=True, description="Upload file ID"),
-                "indexing_technique": fields.String(description="Indexing technique"),
-                "process_rule": fields.Raw(description="Processing rules"),
-                "data_source": fields.Raw(description="Data source configuration"),
-            },
-        )
-    )
+    @console_ns.expect(console_ns.models[KnowledgeConfig.__name__])
     @console_ns.response(201, "Dataset initialized successfully", dataset_and_document_model)
     @console_ns.response(400, "Invalid request parameters")
     @setup_required
@@ -416,27 +412,7 @@ class DatasetInitApi(Resource):
         if not current_user.is_dataset_editor:
             raise Forbidden()
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "indexing_technique",
-                type=str,
-                choices=Dataset.INDEXING_TECHNIQUE_LIST,
-                required=True,
-                nullable=False,
-                location="json",
-            )
-            .add_argument("data_source", type=dict, required=True, nullable=True, location="json")
-            .add_argument("process_rule", type=dict, required=True, nullable=True, location="json")
-            .add_argument("doc_form", type=str, default="text_model", required=False, nullable=False, location="json")
-            .add_argument("doc_language", type=str, default="English", required=False, nullable=False, location="json")
-            .add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
-            .add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
-            .add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
-        )
-        args = parser.parse_args()
-
-        knowledge_config = KnowledgeConfig.model_validate(args)
+        knowledge_config = KnowledgeConfig.model_validate(console_ns.payload or {})
         if knowledge_config.indexing_technique == "high_quality":
             if knowledge_config.embedding_model is None or knowledge_config.embedding_model_provider is None:
                 raise ValueError("embedding model and embedding model provider are required for high quality indexing.")
@@ -444,9 +420,9 @@ class DatasetInitApi(Resource):
                 model_manager = ModelManager()
                 model_manager.get_model_instance(
                     tenant_id=current_tenant_id,
-                    provider=args["embedding_model_provider"],
+                    provider=knowledge_config.embedding_model_provider,
                     model_type=ModelType.TEXT_EMBEDDING,
-                    model=args["embedding_model"],
+                    model=knowledge_config.embedding_model,
                 )
             except InvokeAuthorizationError:
                 raise ProviderNotInitializeError(
@@ -1077,19 +1053,16 @@ class DocumentRetryApi(DocumentResource):
     @login_required
     @account_initialization_required
     @cloud_edition_billing_rate_limit_check("knowledge")
+    @console_ns.expect(console_ns.models[DocumentRetryPayload.__name__])
     def post(self, dataset_id):
         """retry document."""
-
-        parser = reqparse.RequestParser().add_argument(
-            "document_ids", type=list, required=True, nullable=False, location="json"
-        )
-        args = parser.parse_args()
+        payload = DocumentRetryPayload.model_validate(console_ns.payload or {})
         dataset_id = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id)
         retry_documents = []
         if not dataset:
             raise NotFound("Dataset not found.")
-        for document_id in args["document_ids"]:
+        for document_id in payload.document_ids:
             try:
                 document_id = str(document_id)
 
@@ -1122,6 +1095,7 @@ class DocumentRenameApi(DocumentResource):
     @login_required
     @account_initialization_required
     @marshal_with(document_fields)
+    @console_ns.expect(console_ns.models[DocumentRenamePayload.__name__])
     def post(self, dataset_id, document_id):
         # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator
         current_user, _ = current_account_with_tenant()
@@ -1131,11 +1105,10 @@ class DocumentRenameApi(DocumentResource):
         if not dataset:
             raise NotFound("Dataset not found.")
         DatasetService.check_dataset_operator_permission(current_user, dataset)
-        parser = reqparse.RequestParser().add_argument("name", type=str, required=True, nullable=False, location="json")
-        args = parser.parse_args()
+        payload = DocumentRenamePayload.model_validate(console_ns.payload or {})
 
         try:
-            document = DocumentService.rename_document(dataset_id, document_id, args["name"])
+            document = DocumentService.rename_document(dataset_id, document_id, payload.name)
         except services.errors.document.DocumentIndexingError:
             raise DocumentIndexingError("Cannot delete document during indexing.")
 

api/controllers/console/datasets/datasets_segments.py

@@ -1,11 +1,13 @@
 import uuid
 
 from flask import request
-from flask_restx import Resource, marshal, reqparse
+from flask_restx import Resource, marshal
+from pydantic import BaseModel, Field
 from sqlalchemy import select
 from werkzeug.exceptions import Forbidden, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.app.error import ProviderNotInitializeError
 from controllers.console.datasets.error import (
@@ -36,6 +38,56 @@ from services.errors.chunk import ChildChunkIndexingError as ChildChunkIndexingS
 from tasks.batch_create_segment_to_index_task import batch_create_segment_to_index_task
 
 
+class SegmentListQuery(BaseModel):
+    limit: int = Field(default=20, ge=1, le=100)
+    status: list[str] = Field(default_factory=list)
+    hit_count_gte: int | None = None
+    enabled: str = Field(default="all")
+    keyword: str | None = None
+    page: int = Field(default=1, ge=1)
+
+
+class SegmentCreatePayload(BaseModel):
+    content: str
+    answer: str | None = None
+    keywords: list[str] | None = None
+
+
+class SegmentUpdatePayload(BaseModel):
+    content: str
+    answer: str | None = None
+    keywords: list[str] | None = None
+    regenerate_child_chunks: bool = False
+
+
+class BatchImportPayload(BaseModel):
+    upload_file_id: str
+
+
+class ChildChunkCreatePayload(BaseModel):
+    content: str
+
+
+class ChildChunkUpdatePayload(BaseModel):
+    content: str
+
+
+class ChildChunkBatchUpdatePayload(BaseModel):
+    chunks: list[ChildChunkUpdateArgs]
+
+
+register_schema_models(
+    console_ns,
+    SegmentListQuery,
+    SegmentCreatePayload,
+    SegmentUpdatePayload,
+    BatchImportPayload,
+    ChildChunkCreatePayload,
+    ChildChunkUpdatePayload,
+    ChildChunkBatchUpdatePayload,
+)
+
+
 @console_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segments")
 class DatasetDocumentSegmentListApi(Resource):
     @setup_required
@@ -60,23 +112,18 @@ class DatasetDocumentSegmentListApi(Resource):
         if not document:
             raise NotFound("Document not found.")
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("limit", type=int, default=20, location="args")
-            .add_argument("status", type=str, action="append", default=[], location="args")
-            .add_argument("hit_count_gte", type=int, default=None, location="args")
-            .add_argument("enabled", type=str, default="all", location="args")
-            .add_argument("keyword", type=str, default=None, location="args")
-            .add_argument("page", type=int, default=1, location="args")
+        args = SegmentListQuery.model_validate(
+            {
+                **request.args.to_dict(),
+                "status": request.args.getlist("status"),
+            }
         )
 
-        args = parser.parse_args()
-
-        page = args["page"]
-        limit = min(args["limit"], 100)
-        status_list = args["status"]
-        hit_count_gte = args["hit_count_gte"]
-        keyword = args["keyword"]
+        page = args.page
+        limit = min(args.limit, 100)
+        status_list = args.status
+        hit_count_gte = args.hit_count_gte
+        keyword = args.keyword
 
         query = (
             select(DocumentSegment)
@@ -96,10 +143,10 @@ class DatasetDocumentSegmentListApi(Resource):
         if keyword:
             query = query.where(DocumentSegment.content.ilike(f"%{keyword}%"))
 
-        if args["enabled"].lower() != "all":
-            if args["enabled"].lower() == "true":
+        if args.enabled.lower() != "all":
+            if args.enabled.lower() == "true":
                 query = query.where(DocumentSegment.enabled == True)
-            elif args["enabled"].lower() == "false":
+            elif args.enabled.lower() == "false":
                 query = query.where(DocumentSegment.enabled == False)
 
         segments = db.paginate(select=query, page=page, per_page=limit, max_per_page=100, error_out=False)
@@ -210,6 +257,7 @@ class DatasetDocumentSegmentAddApi(Resource):
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
     @cloud_edition_billing_rate_limit_check("knowledge")
+    @console_ns.expect(console_ns.models[SegmentCreatePayload.__name__])
     def post(self, dataset_id, document_id):
         current_user, current_tenant_id = current_account_with_tenant()
 
@@ -246,15 +294,10 @@ class DatasetDocumentSegmentAddApi(Resource):
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
         # validate args
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("content", type=str, required=True, nullable=False, location="json")
-            .add_argument("answer", type=str, required=False, nullable=True, location="json")
-            .add_argument("keywords", type=list, required=False, nullable=True, location="json")
-        )
-        args = parser.parse_args()
-        SegmentService.segment_create_args_validate(args, document)
-        segment = SegmentService.create_segment(args, document, dataset)
+        payload = SegmentCreatePayload.model_validate(console_ns.payload or {})
+        payload_dict = payload.model_dump(exclude_none=True)
+        SegmentService.segment_create_args_validate(payload_dict, document)
+        segment = SegmentService.create_segment(payload_dict, document, dataset)
         return {"data": marshal(segment, segment_fields), "doc_form": document.doc_form}, 200
 
 
@@ -265,6 +308,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_rate_limit_check("knowledge")
+    @console_ns.expect(console_ns.models[SegmentUpdatePayload.__name__])
     def patch(self, dataset_id, document_id, segment_id):
         current_user, current_tenant_id = current_account_with_tenant()
 
@@ -313,18 +357,12 @@ class DatasetDocumentSegmentUpdateApi(Resource):
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
         # validate args
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("content", type=str, required=True, nullable=False, location="json")
-            .add_argument("answer", type=str, required=False, nullable=True, location="json")
-            .add_argument("keywords", type=list, required=False, nullable=True, location="json")
-            .add_argument(
-                "regenerate_child_chunks", type=bool, required=False, nullable=True, default=False, location="json"
-            )
+        payload = SegmentUpdatePayload.model_validate(console_ns.payload or {})
+        payload_dict = payload.model_dump(exclude_none=True)
+        SegmentService.segment_create_args_validate(payload_dict, document)
+        segment = SegmentService.update_segment(
+            SegmentUpdateArgs.model_validate(payload.model_dump(exclude_none=True)), segment, document, dataset
         )
-        args = parser.parse_args()
-        SegmentService.segment_create_args_validate(args, document)
-        segment = SegmentService.update_segment(SegmentUpdateArgs.model_validate(args), segment, document, dataset)
         return {"data": marshal(segment, segment_fields), "doc_form": document.doc_form}, 200
 
     @setup_required
@@ -377,6 +415,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
     @cloud_edition_billing_rate_limit_check("knowledge")
+    @console_ns.expect(console_ns.models[BatchImportPayload.__name__])
     def post(self, dataset_id, document_id):
         current_user, current_tenant_id = current_account_with_tenant()
 
@@ -391,11 +430,8 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
         if not document:
             raise NotFound("Document not found.")
 
-        parser = reqparse.RequestParser().add_argument(
-            "upload_file_id", type=str, required=True, nullable=False, location="json"
-        )
-        args = parser.parse_args()
-        upload_file_id = args["upload_file_id"]
+        payload = BatchImportPayload.model_validate(console_ns.payload or {})
+        upload_file_id = payload.upload_file_id
 
         upload_file = db.session.query(UploadFile).where(UploadFile.id == upload_file_id).first()
         if not upload_file:
@@ -446,6 +482,7 @@ class ChildChunkAddApi(Resource):
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_knowledge_limit_check("add_segment")
     @cloud_edition_billing_rate_limit_check("knowledge")
+    @console_ns.expect(console_ns.models[ChildChunkCreatePayload.__name__])
     def post(self, dataset_id, document_id, segment_id):
         current_user, current_tenant_id = current_account_with_tenant()
 
@@ -491,13 +528,9 @@ class ChildChunkAddApi(Resource):
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
         # validate args
-        parser = reqparse.RequestParser().add_argument(
-            "content", type=str, required=True, nullable=False, location="json"
-        )
-        args = parser.parse_args()
         try:
-            content = args["content"]
-            child_chunk = SegmentService.create_child_chunk(content, segment, document, dataset)
+            payload = ChildChunkCreatePayload.model_validate(console_ns.payload or {})
+            child_chunk = SegmentService.create_child_chunk(payload.content, segment, document, dataset)
         except ChildChunkIndexingServiceError as e:
             raise ChildChunkIndexingError(str(e))
         return {"data": marshal(child_chunk, child_chunk_fields)}, 200
@@ -529,18 +562,17 @@ class ChildChunkAddApi(Resource):
         )
         if not segment:
             raise NotFound("Segment not found.")
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("limit", type=int, default=20, location="args")
-            .add_argument("keyword", type=str, default=None, location="args")
-            .add_argument("page", type=int, default=1, location="args")
+        args = SegmentListQuery.model_validate(
+            {
+                "limit": request.args.get("limit", default=20, type=int),
+                "keyword": request.args.get("keyword"),
+                "page": request.args.get("page", default=1, type=int),
+            }
         )
 
-        args = parser.parse_args()
-
-        page = args["page"]
-        limit = min(args["limit"], 100)
-        keyword = args["keyword"]
+        page = args.page
+        limit = min(args.limit, 100)
+        keyword = args.keyword
 
         child_chunks = SegmentService.get_child_chunks(segment_id, document_id, dataset_id, page, limit, keyword)
         return {
@@ -588,14 +620,9 @@ class ChildChunkAddApi(Resource):
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
         # validate args
-        parser = reqparse.RequestParser().add_argument(
-            "chunks", type=list, required=True, nullable=False, location="json"
-        )
-        args = parser.parse_args()
+        payload = ChildChunkBatchUpdatePayload.model_validate(console_ns.payload or {})
         try:
-            chunks_data = args["chunks"]
-            chunks = [ChildChunkUpdateArgs.model_validate(chunk) for chunk in chunks_data]
-            child_chunks = SegmentService.update_child_chunks(chunks, segment, document, dataset)
+            child_chunks = SegmentService.update_child_chunks(payload.chunks, segment, document, dataset)
         except ChildChunkIndexingServiceError as e:
             raise ChildChunkIndexingError(str(e))
         return {"data": marshal(child_chunks, child_chunk_fields)}, 200
@@ -665,6 +692,7 @@ class ChildChunkUpdateApi(Resource):
     @account_initialization_required
     @cloud_edition_billing_resource_check("vector_space")
     @cloud_edition_billing_rate_limit_check("knowledge")
+    @console_ns.expect(console_ns.models[ChildChunkUpdatePayload.__name__])
     def patch(self, dataset_id, document_id, segment_id, child_chunk_id):
         current_user, current_tenant_id = current_account_with_tenant()
 
@@ -711,13 +739,9 @@ class ChildChunkUpdateApi(Resource):
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
         # validate args
-        parser = reqparse.RequestParser().add_argument(
-            "content", type=str, required=True, nullable=False, location="json"
-        )
-        args = parser.parse_args()
         try:
-            content = args["content"]
-            child_chunk = SegmentService.update_child_chunk(content, child_chunk, segment, document, dataset)
+            payload = ChildChunkUpdatePayload.model_validate(console_ns.payload or {})
+            child_chunk = SegmentService.update_child_chunk(payload.content, child_chunk, segment, document, dataset)
         except ChildChunkIndexingServiceError as e:
             raise ChildChunkIndexingError(str(e))
         return {"data": marshal(child_chunk, child_chunk_fields)}, 200

api/controllers/console/datasets/external.py

@@ -1,8 +1,10 @@
 from flask import request
-from flask_restx import Resource, fields, marshal, reqparse
+from flask_restx import Resource, fields, marshal
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.datasets.error import DatasetNameDuplicateError
 from controllers.console.wraps import account_initialization_required, edit_permission_required, setup_required
@@ -71,10 +73,38 @@ except KeyError:
     dataset_detail_model = _build_dataset_detail_model()
 
 
-def _validate_name(name: str) -> str:
-    if not name or len(name) < 1 or len(name) > 100:
-        raise ValueError("Name must be between 1 to 100 characters.")
-    return name
+class ExternalKnowledgeApiPayload(BaseModel):
+    name: str = Field(..., min_length=1, max_length=40)
+    settings: dict[str, object]
+
+
+class ExternalDatasetCreatePayload(BaseModel):
+    external_knowledge_api_id: str
+    external_knowledge_id: str
+    name: str = Field(..., min_length=1, max_length=40)
+    description: str | None = Field(None, max_length=400)
+    external_retrieval_model: dict[str, object] | None = None
+
+
+class ExternalHitTestingPayload(BaseModel):
+    query: str
+    external_retrieval_model: dict[str, object] | None = None
+    metadata_filtering_conditions: dict[str, object] | None = None
+
+
+class BedrockRetrievalPayload(BaseModel):
+    retrieval_setting: dict[str, object]
+    query: str
+    knowledge_id: str
+
+
+register_schema_models(
+    console_ns,
+    ExternalKnowledgeApiPayload,
+    ExternalDatasetCreatePayload,
+    ExternalHitTestingPayload,
+    BedrockRetrievalPayload,
+)
 
 
 @console_ns.route("/datasets/external-knowledge-api")
@@ -113,28 +143,12 @@ class ExternalApiTemplateListApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @console_ns.expect(console_ns.models[ExternalKnowledgeApiPayload.__name__])
     def post(self):
         current_user, current_tenant_id = current_account_with_tenant()
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "name",
-                nullable=False,
-                required=True,
-                help="Name is required. Name must be between 1 to 100 characters.",
-                type=_validate_name,
-            )
-            .add_argument(
-                "settings",
-                type=dict,
-                location="json",
-                nullable=False,
-                required=True,
-            )
-        )
-        args = parser.parse_args()
+        payload = ExternalKnowledgeApiPayload.model_validate(console_ns.payload or {})
 
-        ExternalDatasetService.validate_api_list(args["settings"])
+        ExternalDatasetService.validate_api_list(payload.settings)
 
         # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
         if not current_user.is_dataset_editor:
@@ -142,7 +156,7 @@ class ExternalApiTemplateListApi(Resource):
 
         try:
             external_knowledge_api = ExternalDatasetService.create_external_knowledge_api(
-                tenant_id=current_tenant_id, user_id=current_user.id, args=args
+                tenant_id=current_tenant_id, user_id=current_user.id, args=payload.model_dump()
             )
         except services.errors.dataset.DatasetNameDuplicateError:
             raise DatasetNameDuplicateError()
@@ -171,35 +185,19 @@ class ExternalApiTemplateApi(Resource):
     @setup_required
     @login_required
     @account_initialization_required
+    @console_ns.expect(console_ns.models[ExternalKnowledgeApiPayload.__name__])
     def patch(self, external_knowledge_api_id):
         current_user, current_tenant_id = current_account_with_tenant()
         external_knowledge_api_id = str(external_knowledge_api_id)
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "name",
-                nullable=False,
-                required=True,
-                help="type is required. Name must be between 1 to 100 characters.",
-                type=_validate_name,
-            )
-            .add_argument(
-                "settings",
-                type=dict,
-                location="json",
-                nullable=False,
-                required=True,
-            )
-        )
-        args = parser.parse_args()
-        ExternalDatasetService.validate_api_list(args["settings"])
+        payload = ExternalKnowledgeApiPayload.model_validate(console_ns.payload or {})
+        ExternalDatasetService.validate_api_list(payload.settings)
 
         external_knowledge_api = ExternalDatasetService.update_external_knowledge_api(
             tenant_id=current_tenant_id,
             user_id=current_user.id,
             external_knowledge_api_id=external_knowledge_api_id,
-            args=args,
+            args=payload.model_dump(),
         )
 
         return external_knowledge_api.to_dict(), 200
@@ -240,17 +238,7 @@ class ExternalApiUseCheckApi(Resource):
 class ExternalDatasetCreateApi(Resource):
     @console_ns.doc("create_external_dataset")
     @console_ns.doc(description="Create external knowledge dataset")
-    @console_ns.expect(
-        console_ns.model(
-            "CreateExternalDatasetRequest",
-            {
-                "external_knowledge_api_id": fields.String(required=True, description="External knowledge API ID"),
-                "external_knowledge_id": fields.String(required=True, description="External knowledge ID"),
-                "name": fields.String(required=True, description="Dataset name"),
-                "description": fields.String(description="Dataset description"),
-            },
-        )
-    )
+    @console_ns.expect(console_ns.models[ExternalDatasetCreatePayload.__name__])
     @console_ns.response(201, "External dataset created successfully", dataset_detail_model)
     @console_ns.response(400, "Invalid parameters")
     @console_ns.response(403, "Permission denied")
@@ -261,22 +249,8 @@ class ExternalDatasetCreateApi(Resource):
     def post(self):
         # The role of the current user in the ta table must be admin, owner, or editor
         current_user, current_tenant_id = current_account_with_tenant()
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("external_knowledge_api_id", type=str, required=True, nullable=False, location="json")
-            .add_argument("external_knowledge_id", type=str, required=True, nullable=False, location="json")
-            .add_argument(
-                "name",
-                nullable=False,
-                required=True,
-                help="name is required. Name must be between 1 to 100 characters.",
-                type=_validate_name,
-            )
-            .add_argument("description", type=str, required=False, nullable=True, location="json")
-            .add_argument("external_retrieval_model", type=dict, required=False, location="json")
-        )
-
-        args = parser.parse_args()
+        payload = ExternalDatasetCreatePayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
 
         # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
         if not current_user.is_dataset_editor:
@@ -299,16 +273,7 @@ class ExternalKnowledgeHitTestingApi(Resource):
     @console_ns.doc("test_external_knowledge_retrieval")
     @console_ns.doc(description="Test external knowledge retrieval for dataset")
     @console_ns.doc(params={"dataset_id": "Dataset ID"})
-    @console_ns.expect(
-        console_ns.model(
-            "ExternalHitTestingRequest",
-            {
-                "query": fields.String(required=True, description="Query text for testing"),
-                "retrieval_model": fields.Raw(description="Retrieval model configuration"),
-                "external_retrieval_model": fields.Raw(description="External retrieval model configuration"),
-            },
-        )
-    )
+    @console_ns.expect(console_ns.models[ExternalHitTestingPayload.__name__])
     @console_ns.response(200, "External hit testing completed successfully")
     @console_ns.response(404, "Dataset not found")
     @console_ns.response(400, "Invalid parameters")
@@ -327,23 +292,16 @@ class ExternalKnowledgeHitTestingApi(Resource):
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("query", type=str, location="json")
-            .add_argument("external_retrieval_model", type=dict, required=False, location="json")
-            .add_argument("metadata_filtering_conditions", type=dict, required=False, location="json")
-        )
-        args = parser.parse_args()
-
-        HitTestingService.hit_testing_args_check(args)
+        payload = ExternalHitTestingPayload.model_validate(console_ns.payload or {})
+        HitTestingService.hit_testing_args_check(payload.model_dump())
 
         try:
             response = HitTestingService.external_retrieve(
                 dataset=dataset,
-                query=args["query"],
+                query=payload.query,
                 account=current_user,
-                external_retrieval_model=args["external_retrieval_model"],
-                metadata_filtering_conditions=args["metadata_filtering_conditions"],
+                external_retrieval_model=payload.external_retrieval_model,
+                metadata_filtering_conditions=payload.metadata_filtering_conditions,
             )
 
             return response
@@ -356,33 +314,13 @@ class BedrockRetrievalApi(Resource):
     # this api is only for internal testing
     @console_ns.doc("bedrock_retrieval_test")
     @console_ns.doc(description="Bedrock retrieval test (internal use only)")
-    @console_ns.expect(
-        console_ns.model(
-            "BedrockRetrievalTestRequest",
-            {
-                "retrieval_setting": fields.Raw(required=True, description="Retrieval settings"),
-                "query": fields.String(required=True, description="Query text"),
-                "knowledge_id": fields.String(required=True, description="Knowledge ID"),
-            },
-        )
-    )
+    @console_ns.expect(console_ns.models[BedrockRetrievalPayload.__name__])
     @console_ns.response(200, "Bedrock retrieval test completed")
     def post(self):
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("retrieval_setting", nullable=False, required=True, type=dict, location="json")
-            .add_argument(
-                "query",
-                nullable=False,
-                required=True,
-                type=str,
-            )
-            .add_argument("knowledge_id", nullable=False, required=True, type=str)
-        )
-        args = parser.parse_args()
+        payload = BedrockRetrievalPayload.model_validate(console_ns.payload or {})
 
         # Call the knowledge retrieval service
         result = ExternalDatasetTestService.knowledge_retrieval(
-            args["retrieval_setting"], args["query"], args["knowledge_id"]
+            payload.retrieval_setting, payload.query, payload.knowledge_id
         )
         return result, 200

api/controllers/console/datasets/hit_testing.py

@@ -1,13 +1,17 @@
-from flask_restx import Resource, fields
+from flask_restx import Resource
 
-from controllers.console import console_ns
-from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase
-from controllers.console.wraps import (
+from controllers.common.schema import register_schema_model
+from libs.login import login_required
+
+from .. import console_ns
+from ..datasets.hit_testing_base import DatasetsHitTestingBase, HitTestingPayload
+from ..wraps import (
     account_initialization_required,
     cloud_edition_billing_rate_limit_check,
     setup_required,
 )
-from libs.login import login_required
+
+register_schema_model(console_ns, HitTestingPayload)
 
 
 @console_ns.route("/datasets/<uuid:dataset_id>/hit-testing")
@@ -15,17 +19,7 @@ class HitTestingApi(Resource, DatasetsHitTestingBase):
     @console_ns.doc("test_dataset_retrieval")
     @console_ns.doc(description="Test dataset knowledge retrieval")
     @console_ns.doc(params={"dataset_id": "Dataset ID"})
-    @console_ns.expect(
-        console_ns.model(
-            "HitTestingRequest",
-            {
-                "query": fields.String(required=True, description="Query text for testing"),
-                "retrieval_model": fields.Raw(description="Retrieval model configuration"),
-                "top_k": fields.Integer(description="Number of top results to return"),
-                "score_threshold": fields.Float(description="Score threshold for filtering results"),
-            },
-        )
-    )
+    @console_ns.expect(console_ns.models[HitTestingPayload.__name__])
     @console_ns.response(200, "Hit testing completed successfully")
     @console_ns.response(404, "Dataset not found")
     @console_ns.response(400, "Invalid parameters")
@@ -37,7 +31,8 @@ class HitTestingApi(Resource, DatasetsHitTestingBase):
         dataset_id_str = str(dataset_id)
 
         dataset = self.get_and_validate_dataset(dataset_id_str)
-        args = self.parse_args()
+        payload = HitTestingPayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
         self.hit_testing_args_check(args)
 
         return self.perform_hit_testing(dataset, args)

api/controllers/console/datasets/hit_testing_base.py

@@ -1,6 +1,8 @@
 import logging
+from typing import Any
 
-from flask_restx import marshal, reqparse
+from flask_restx import marshal
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 import services
@@ -27,6 +29,12 @@ from services.hit_testing_service import HitTestingService
 logger = logging.getLogger(__name__)
 
 
+class HitTestingPayload(BaseModel):
+    query: str = Field(max_length=250)
+    retrieval_model: dict[str, Any] | None = None
+    external_retrieval_model: dict[str, Any] | None = None
+
+
 class DatasetsHitTestingBase:
     @staticmethod
     def get_and_validate_dataset(dataset_id: str):
@@ -43,19 +51,9 @@ class DatasetsHitTestingBase:
         return dataset
 
     @staticmethod
-    def hit_testing_args_check(args):
+    def hit_testing_args_check(args: dict[str, Any]):
         HitTestingService.hit_testing_args_check(args)
 
-    @staticmethod
-    def parse_args():
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("query", type=str, location="json")
-            .add_argument("retrieval_model", type=dict, required=False, location="json")
-            .add_argument("external_retrieval_model", type=dict, required=False, location="json")
-        )
-        return parser.parse_args()
-
     @staticmethod
     def perform_hit_testing(dataset, args):
         assert isinstance(current_user, Account)

api/controllers/console/datasets/metadata.py

@@ -1,8 +1,10 @@
 from typing import Literal
 
-from flask_restx import Resource, marshal_with, reqparse
+from flask_restx import Resource, marshal_with
+from pydantic import BaseModel
 from werkzeug.exceptions import NotFound
 
+from controllers.common.schema import register_schema_model, register_schema_models
 from controllers.console import console_ns
 from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
 from fields.dataset_fields import dataset_metadata_fields
@@ -15,6 +17,14 @@ from services.entities.knowledge_entities.knowledge_entities import (
 from services.metadata_service import MetadataService
 
 
+class MetadataUpdatePayload(BaseModel):
+    name: str
+
+
+register_schema_models(console_ns, MetadataArgs, MetadataOperationData)
+register_schema_model(console_ns, MetadataUpdatePayload)
+
+
 @console_ns.route("/datasets/<uuid:dataset_id>/metadata")
 class DatasetMetadataCreateApi(Resource):
     @setup_required
@@ -22,15 +32,10 @@ class DatasetMetadataCreateApi(Resource):
     @account_initialization_required
     @enterprise_license_required
     @marshal_with(dataset_metadata_fields)
+    @console_ns.expect(console_ns.models[MetadataArgs.__name__])
     def post(self, dataset_id):
         current_user, _ = current_account_with_tenant()
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("type", type=str, required=True, nullable=False, location="json")
-            .add_argument("name", type=str, required=True, nullable=False, location="json")
-        )
-        args = parser.parse_args()
-        metadata_args = MetadataArgs.model_validate(args)
+        metadata_args = MetadataArgs.model_validate(console_ns.payload or {})
 
         dataset_id_str = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id_str)
@@ -60,11 +65,11 @@ class DatasetMetadataApi(Resource):
     @account_initialization_required
     @enterprise_license_required
     @marshal_with(dataset_metadata_fields)
+    @console_ns.expect(console_ns.models[MetadataUpdatePayload.__name__])
     def patch(self, dataset_id, metadata_id):
         current_user, _ = current_account_with_tenant()
-        parser = reqparse.RequestParser().add_argument("name", type=str, required=True, nullable=False, location="json")
-        args = parser.parse_args()
-        name = args["name"]
+        payload = MetadataUpdatePayload.model_validate(console_ns.payload or {})
+        name = payload.name
 
         dataset_id_str = str(dataset_id)
         metadata_id_str = str(metadata_id)
@@ -131,6 +136,7 @@ class DocumentMetadataEditApi(Resource):
     @login_required
     @account_initialization_required
     @enterprise_license_required
+    @console_ns.expect(console_ns.models[MetadataOperationData.__name__])
     def post(self, dataset_id):
         current_user, _ = current_account_with_tenant()
         dataset_id_str = str(dataset_id)
@@ -139,11 +145,7 @@ class DocumentMetadataEditApi(Resource):
             raise NotFound("Dataset not found.")
         DatasetService.check_dataset_permission(dataset, current_user)
 
-        parser = reqparse.RequestParser().add_argument(
-            "operation_data", type=list, required=True, nullable=False, location="json"
-        )
-        args = parser.parse_args()
-        metadata_args = MetadataOperationData.model_validate(args)
+        metadata_args = MetadataOperationData.model_validate(console_ns.payload or {})
 
         MetadataService.update_documents_metadata(dataset, metadata_args)
 

api/controllers/console/datasets/rag_pipeline/datasource_auth.py

@@ -1,20 +1,63 @@
+from typing import Any
+
 from flask import make_response, redirect, request
-from flask_restx import Resource, reqparse
+from flask_restx import Resource
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import Forbidden, NotFound
 
 from configs import dify_config
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.wraps import account_initialization_required, edit_permission_required, setup_required
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.utils.encoders import jsonable_encoder
 from core.plugin.impl.oauth import OAuthHandler
-from libs.helper import StrLen
 from libs.login import current_account_with_tenant, login_required
 from models.provider_ids import DatasourceProviderID
 from services.datasource_provider_service import DatasourceProviderService
 from services.plugin.oauth_service import OAuthProxyService
 
 
+class DatasourceCredentialPayload(BaseModel):
+    name: str | None = Field(default=None, max_length=100)
+    credentials: dict[str, Any]
+
+
+class DatasourceCredentialDeletePayload(BaseModel):
+    credential_id: str
+
+
+class DatasourceCredentialUpdatePayload(BaseModel):
+    credential_id: str
+    name: str | None = Field(default=None, max_length=100)
+    credentials: dict[str, Any] | None = None
+
+
+class DatasourceCustomClientPayload(BaseModel):
+    client_params: dict[str, Any] | None = None
+    enable_oauth_custom_client: bool | None = None
+
+
+class DatasourceDefaultPayload(BaseModel):
+    id: str
+
+
+class DatasourceUpdateNamePayload(BaseModel):
+    credential_id: str
+    name: str = Field(max_length=100)
+
+
+register_schema_models(
+    console_ns,
+    DatasourceCredentialPayload,
+    DatasourceCredentialDeletePayload,
+    DatasourceCredentialUpdatePayload,
+    DatasourceCustomClientPayload,
+    DatasourceDefaultPayload,
+    DatasourceUpdateNamePayload,
+)
+
+
 @console_ns.route("/oauth/plugin/<path:provider_id>/datasource/get-authorization-url")
 class DatasourcePluginOAuthAuthorizationUrl(Resource):
     @setup_required
@@ -121,16 +164,9 @@ class DatasourceOAuthCallback(Resource):
         return redirect(f"{dify_config.CONSOLE_WEB_URL}/oauth-callback")
 
 
-parser_datasource = (
-    reqparse.RequestParser()
-    .add_argument("name", type=StrLen(max_length=100), required=False, nullable=True, location="json", default=None)
-    .add_argument("credentials", type=dict, required=True, nullable=False, location="json")
-)
-
-
 @console_ns.route("/auth/plugin/datasource/<path:provider_id>")
 class DatasourceAuth(Resource):
-    @console_ns.expect(parser_datasource)
+    @console_ns.expect(console_ns.models[DatasourceCredentialPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -138,7 +174,7 @@ class DatasourceAuth(Resource):
     def post(self, provider_id: str):
         _, current_tenant_id = current_account_with_tenant()
 
-        args = parser_datasource.parse_args()
+        payload = DatasourceCredentialPayload.model_validate(console_ns.payload or {})
         datasource_provider_id = DatasourceProviderID(provider_id)
         datasource_provider_service = DatasourceProviderService()
 
@@ -146,8 +182,8 @@ class DatasourceAuth(Resource):
             datasource_provider_service.add_datasource_api_key_provider(
                 tenant_id=current_tenant_id,
                 provider_id=datasource_provider_id,
-                credentials=args["credentials"],
-                name=args["name"],
+                credentials=payload.credentials,
+                name=payload.name,
             )
         except CredentialsValidateFailedError as ex:
             raise ValueError(str(ex))
@@ -169,14 +205,9 @@ class DatasourceAuth(Resource):
         return {"result": datasources}, 200
 
 
-parser_datasource_delete = reqparse.RequestParser().add_argument(
-    "credential_id", type=str, required=True, nullable=False, location="json"
-)
-
-
 @console_ns.route("/auth/plugin/datasource/<path:provider_id>/delete")
 class DatasourceAuthDeleteApi(Resource):
-    @console_ns.expect(parser_datasource_delete)
+    @console_ns.expect(console_ns.models[DatasourceCredentialDeletePayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -188,28 +219,20 @@ class DatasourceAuthDeleteApi(Resource):
         plugin_id = datasource_provider_id.plugin_id
         provider_name = datasource_provider_id.provider_name
 
-        args = parser_datasource_delete.parse_args()
+        payload = DatasourceCredentialDeletePayload.model_validate(console_ns.payload or {})
         datasource_provider_service = DatasourceProviderService()
         datasource_provider_service.remove_datasource_credentials(
             tenant_id=current_tenant_id,
-            auth_id=args["credential_id"],
+            auth_id=payload.credential_id,
             provider=provider_name,
             plugin_id=plugin_id,
         )
         return {"result": "success"}, 200
 
 
-parser_datasource_update = (
-    reqparse.RequestParser()
-    .add_argument("credentials", type=dict, required=False, nullable=True, location="json")
-    .add_argument("name", type=StrLen(max_length=100), required=False, nullable=True, location="json")
-    .add_argument("credential_id", type=str, required=True, nullable=False, location="json")
-)
-
-
 @console_ns.route("/auth/plugin/datasource/<path:provider_id>/update")
 class DatasourceAuthUpdateApi(Resource):
-    @console_ns.expect(parser_datasource_update)
+    @console_ns.expect(console_ns.models[DatasourceCredentialUpdatePayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -218,16 +241,16 @@ class DatasourceAuthUpdateApi(Resource):
         _, current_tenant_id = current_account_with_tenant()
 
         datasource_provider_id = DatasourceProviderID(provider_id)
-        args = parser_datasource_update.parse_args()
+        payload = DatasourceCredentialUpdatePayload.model_validate(console_ns.payload or {})
 
         datasource_provider_service = DatasourceProviderService()
         datasource_provider_service.update_datasource_credentials(
             tenant_id=current_tenant_id,
-            auth_id=args["credential_id"],
+            auth_id=payload.credential_id,
             provider=datasource_provider_id.provider_name,
             plugin_id=datasource_provider_id.plugin_id,
-            credentials=args.get("credentials", {}),
-            name=args.get("name", None),
+            credentials=payload.credentials or {},
+            name=payload.name,
         )
         return {"result": "success"}, 201
 
@@ -258,16 +281,9 @@ class DatasourceHardCodeAuthListApi(Resource):
         return {"result": jsonable_encoder(datasources)}, 200
 
 
-parser_datasource_custom = (
-    reqparse.RequestParser()
-    .add_argument("client_params", type=dict, required=False, nullable=True, location="json")
-    .add_argument("enable_oauth_custom_client", type=bool, required=False, nullable=True, location="json")
-)
-
-
 @console_ns.route("/auth/plugin/datasource/<path:provider_id>/custom-client")
 class DatasourceAuthOauthCustomClient(Resource):
-    @console_ns.expect(parser_datasource_custom)
+    @console_ns.expect(console_ns.models[DatasourceCustomClientPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -275,14 +291,14 @@ class DatasourceAuthOauthCustomClient(Resource):
     def post(self, provider_id: str):
         _, current_tenant_id = current_account_with_tenant()
 
-        args = parser_datasource_custom.parse_args()
+        payload = DatasourceCustomClientPayload.model_validate(console_ns.payload or {})
         datasource_provider_id = DatasourceProviderID(provider_id)
         datasource_provider_service = DatasourceProviderService()
         datasource_provider_service.setup_oauth_custom_client_params(
             tenant_id=current_tenant_id,
             datasource_provider_id=datasource_provider_id,
-            client_params=args.get("client_params", {}),
-            enabled=args.get("enable_oauth_custom_client", False),
+            client_params=payload.client_params or {},
+            enabled=payload.enable_oauth_custom_client or False,
         )
         return {"result": "success"}, 200
 
@@ -301,12 +317,9 @@ class DatasourceAuthOauthCustomClient(Resource):
         return {"result": "success"}, 200
 
 
-parser_default = reqparse.RequestParser().add_argument("id", type=str, required=True, nullable=False, location="json")
-
-
 @console_ns.route("/auth/plugin/datasource/<path:provider_id>/default")
 class DatasourceAuthDefaultApi(Resource):
-    @console_ns.expect(parser_default)
+    @console_ns.expect(console_ns.models[DatasourceDefaultPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -314,27 +327,20 @@ class DatasourceAuthDefaultApi(Resource):
     def post(self, provider_id: str):
         _, current_tenant_id = current_account_with_tenant()
 
-        args = parser_default.parse_args()
+        payload = DatasourceDefaultPayload.model_validate(console_ns.payload or {})
         datasource_provider_id = DatasourceProviderID(provider_id)
         datasource_provider_service = DatasourceProviderService()
         datasource_provider_service.set_default_datasource_provider(
             tenant_id=current_tenant_id,
             datasource_provider_id=datasource_provider_id,
-            credential_id=args["id"],
+            credential_id=payload.id,
         )
         return {"result": "success"}, 200
 
 
-parser_update_name = (
-    reqparse.RequestParser()
-    .add_argument("name", type=StrLen(max_length=100), required=True, nullable=False, location="json")
-    .add_argument("credential_id", type=str, required=True, nullable=False, location="json")
-)
-
-
 @console_ns.route("/auth/plugin/datasource/<path:provider_id>/update-name")
 class DatasourceUpdateProviderNameApi(Resource):
-    @console_ns.expect(parser_update_name)
+    @console_ns.expect(console_ns.models[DatasourceUpdateNamePayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -342,13 +348,13 @@ class DatasourceUpdateProviderNameApi(Resource):
     def post(self, provider_id: str):
         _, current_tenant_id = current_account_with_tenant()
 
-        args = parser_update_name.parse_args()
+        payload = DatasourceUpdateNamePayload.model_validate(console_ns.payload or {})
         datasource_provider_id = DatasourceProviderID(provider_id)
         datasource_provider_service = DatasourceProviderService()
         datasource_provider_service.update_datasource_provider_name(
             tenant_id=current_tenant_id,
             datasource_provider_id=datasource_provider_id,
-            name=args["name"],
-            credential_id=args["credential_id"],
+            name=payload.name,
+            credential_id=payload.credential_id,
         )
         return {"result": "success"}, 200

api/controllers/console/datasets/rag_pipeline/rag_pipeline.py

@@ -1,9 +1,11 @@
 import logging
 
 from flask import request
-from flask_restx import Resource, reqparse
+from flask_restx import Resource
+from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
 
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.wraps import (
     account_initialization_required,
@@ -20,18 +22,6 @@ from services.rag_pipeline.rag_pipeline import RagPipelineService
 logger = logging.getLogger(__name__)
 
 
-def _validate_name(name: str) -> str:
-    if not name or len(name) < 1 or len(name) > 40:
-        raise ValueError("Name must be between 1 to 40 characters.")
-    return name
-
-
-def _validate_description_length(description: str) -> str:
-    if len(description) > 400:
-        raise ValueError("Description cannot exceed 400 characters.")
-    return description
-
-
 @console_ns.route("/rag/pipeline/templates")
 class PipelineTemplateListApi(Resource):
     @setup_required
@@ -59,6 +49,15 @@ class PipelineTemplateDetailApi(Resource):
         return pipeline_template, 200
 
 
+class Payload(BaseModel):
+    name: str = Field(..., min_length=1, max_length=40)
+    description: str = Field(default="", max_length=400)
+    icon_info: dict[str, object] | None = None
+
+
+register_schema_models(console_ns, Payload)
+
+
 @console_ns.route("/rag/pipeline/customized/templates/<string:template_id>")
 class CustomizedPipelineTemplateApi(Resource):
     @setup_required
@@ -66,31 +65,8 @@ class CustomizedPipelineTemplateApi(Resource):
     @account_initialization_required
     @enterprise_license_required
     def patch(self, template_id: str):
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "name",
-                nullable=False,
-                required=True,
-                help="Name must be between 1 to 40 characters.",
-                type=_validate_name,
-            )
-            .add_argument(
-                "description",
-                type=_validate_description_length,
-                nullable=True,
-                required=False,
-                default="",
-            )
-            .add_argument(
-                "icon_info",
-                type=dict,
-                location="json",
-                nullable=True,
-            )
-        )
-        args = parser.parse_args()
-        pipeline_template_info = PipelineTemplateInfoEntity.model_validate(args)
+        payload = Payload.model_validate(console_ns.payload or {})
+        pipeline_template_info = PipelineTemplateInfoEntity.model_validate(payload.model_dump())
         RagPipelineService.update_customized_pipeline_template(template_id, pipeline_template_info)
         return 200
 
@@ -119,36 +95,14 @@ class CustomizedPipelineTemplateApi(Resource):
 
 @console_ns.route("/rag/pipelines/<string:pipeline_id>/customized/publish")
 class PublishCustomizedPipelineTemplateApi(Resource):
+    @console_ns.expect(console_ns.models[Payload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
     @enterprise_license_required
     @knowledge_pipeline_publish_enabled
     def post(self, pipeline_id: str):
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "name",
-                nullable=False,
-                required=True,
-                help="Name must be between 1 to 40 characters.",
-                type=_validate_name,
-            )
-            .add_argument(
-                "description",
-                type=_validate_description_length,
-                nullable=True,
-                required=False,
-                default="",
-            )
-            .add_argument(
-                "icon_info",
-                type=dict,
-                location="json",
-                nullable=True,
-            )
-        )
-        args = parser.parse_args()
+        payload = Payload.model_validate(console_ns.payload or {})
         rag_pipeline_service = RagPipelineService()
-        rag_pipeline_service.publish_customized_pipeline_template(pipeline_id, args)
+        rag_pipeline_service.publish_customized_pipeline_template(pipeline_id, payload.model_dump())
         return {"result": "success"}

api/controllers/console/datasets/rag_pipeline/rag_pipeline_datasets.py

@@ -1,8 +1,10 @@
-from flask_restx import Resource, marshal, reqparse
+from flask_restx import Resource, marshal
+from pydantic import BaseModel
 from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden
 
 import services
+from controllers.common.schema import register_schema_model
 from controllers.console import console_ns
 from controllers.console.datasets.error import DatasetNameDuplicateError
 from controllers.console.wraps import (
@@ -19,22 +21,22 @@ from services.entities.knowledge_entities.rag_pipeline_entities import IconInfo,
 from services.rag_pipeline.rag_pipeline_dsl_service import RagPipelineDslService
 
 
+class RagPipelineDatasetImportPayload(BaseModel):
+    yaml_content: str
+
+
+register_schema_model(console_ns, RagPipelineDatasetImportPayload)
+
+
 @console_ns.route("/rag/pipeline/dataset")
 class CreateRagPipelineDatasetApi(Resource):
+    @console_ns.expect(console_ns.models[RagPipelineDatasetImportPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
     @cloud_edition_billing_rate_limit_check("knowledge")
     def post(self):
-        parser = reqparse.RequestParser().add_argument(
-            "yaml_content",
-            type=str,
-            nullable=False,
-            required=True,
-            help="yaml_content is required.",
-        )
-
-        args = parser.parse_args()
+        payload = RagPipelineDatasetImportPayload.model_validate(console_ns.payload or {})
         current_user, current_tenant_id = current_account_with_tenant()
         # The role of the current user in the ta table must be admin, owner, or editor, or dataset_operator
         if not current_user.is_dataset_editor:
@@ -49,7 +51,7 @@ class CreateRagPipelineDatasetApi(Resource):
             ),
             permission=DatasetPermissionEnum.ONLY_ME,
             partial_member_list=None,
-            yaml_content=args["yaml_content"],
+            yaml_content=payload.yaml_content,
         )
         try:
             with Session(db.engine) as session:

api/controllers/console/datasets/rag_pipeline/rag_pipeline_draft_variable.py

@@ -1,11 +1,13 @@
 import logging
-from typing import NoReturn
+from typing import Any, NoReturn
 
-from flask import Response
-from flask_restx import Resource, fields, inputs, marshal, marshal_with, reqparse
+from flask import Response, request
+from flask_restx import Resource, fields, marshal, marshal_with
+from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden
 
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.app.error import (
     DraftWorkflowNotExist,
@@ -33,19 +35,21 @@ logger = logging.getLogger(__name__)
 
 
 def _create_pagination_parser():
-    parser = (
-        reqparse.RequestParser()
-        .add_argument(
-            "page",
-            type=inputs.int_range(1, 100_000),
-            required=False,
-            default=1,
-            location="args",
-            help="the page of data requested",
-        )
-        .add_argument("limit", type=inputs.int_range(1, 100), required=False, default=20, location="args")
-    )
-    return parser
+    class PaginationQuery(BaseModel):
+        page: int = Field(default=1, ge=1, le=100_000)
+        limit: int = Field(default=20, ge=1, le=100)
+
+    register_schema_models(console_ns, PaginationQuery)
+
+    return PaginationQuery
+
+
+class WorkflowDraftVariablePatchPayload(BaseModel):
+    name: str | None = None
+    value: Any | None = None
+
+
+register_schema_models(console_ns, WorkflowDraftVariablePatchPayload)
 
 
 def _get_items(var_list: WorkflowDraftVariableList) -> list[WorkflowDraftVariable]:
@@ -93,8 +97,8 @@ class RagPipelineVariableCollectionApi(Resource):
         """
         Get draft workflow
         """
-        parser = _create_pagination_parser()
-        args = parser.parse_args()
+        pagination = _create_pagination_parser()
+        query = pagination.model_validate(request.args.to_dict())
 
         # fetch draft workflow by app_model
         rag_pipeline_service = RagPipelineService()
@@ -109,8 +113,8 @@ class RagPipelineVariableCollectionApi(Resource):
             )
         workflow_vars = draft_var_srv.list_variables_without_values(
             app_id=pipeline.id,
-            page=args.page,
-            limit=args.limit,
+            page=query.page,
+            limit=query.limit,
         )
 
         return workflow_vars
@@ -186,6 +190,7 @@ class RagPipelineVariableApi(Resource):
 
     @_api_prerequisite
     @marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS)
+    @console_ns.expect(console_ns.models[WorkflowDraftVariablePatchPayload.__name__])
     def patch(self, pipeline: Pipeline, variable_id: str):
         # Request payload for file types:
         #
@@ -208,16 +213,11 @@ class RagPipelineVariableApi(Resource):
         #         "upload_file_id": "1602650a-4fe4-423c-85a2-af76c083e3c4"
         #     }
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(self._PATCH_NAME_FIELD, type=str, required=False, nullable=True, location="json")
-            .add_argument(self._PATCH_VALUE_FIELD, type=lambda x: x, required=False, nullable=True, location="json")
-        )
-
         draft_var_srv = WorkflowDraftVariableService(
             session=db.session(),
         )
-        args = parser.parse_args(strict=True)
+        payload = WorkflowDraftVariablePatchPayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
 
         variable = draft_var_srv.get_variable(variable_id=variable_id)
         if variable is None:

api/controllers/console/datasets/rag_pipeline/rag_pipeline_import.py

@@ -1,6 +1,9 @@
-from flask_restx import Resource, marshal_with, reqparse  # type: ignore
+from flask import request
+from flask_restx import Resource, marshal_with  # type: ignore
+from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
 
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.datasets.wraps import get_rag_pipeline
 from controllers.console.wraps import (
@@ -16,6 +19,25 @@ from services.app_dsl_service import ImportStatus
 from services.rag_pipeline.rag_pipeline_dsl_service import RagPipelineDslService
 
 
+class RagPipelineImportPayload(BaseModel):
+    mode: str
+    yaml_content: str | None = None
+    yaml_url: str | None = None
+    name: str | None = None
+    description: str | None = None
+    icon_type: str | None = None
+    icon: str | None = None
+    icon_background: str | None = None
+    pipeline_id: str | None = None
+
+
+class IncludeSecretQuery(BaseModel):
+    include_secret: str = Field(default="false")
+
+
+register_schema_models(console_ns, RagPipelineImportPayload, IncludeSecretQuery)
+
+
 @console_ns.route("/rag/pipelines/imports")
 class RagPipelineImportApi(Resource):
     @setup_required
@@ -23,23 +45,11 @@ class RagPipelineImportApi(Resource):
     @account_initialization_required
     @edit_permission_required
     @marshal_with(pipeline_import_fields)
+    @console_ns.expect(console_ns.models[RagPipelineImportPayload.__name__])
     def post(self):
         # Check user role first
         current_user, _ = current_account_with_tenant()
-
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("mode", type=str, required=True, location="json")
-            .add_argument("yaml_content", type=str, location="json")
-            .add_argument("yaml_url", type=str, location="json")
-            .add_argument("name", type=str, location="json")
-            .add_argument("description", type=str, location="json")
-            .add_argument("icon_type", type=str, location="json")
-            .add_argument("icon", type=str, location="json")
-            .add_argument("icon_background", type=str, location="json")
-            .add_argument("pipeline_id", type=str, location="json")
-        )
-        args = parser.parse_args()
+        payload = RagPipelineImportPayload.model_validate(console_ns.payload or {})
 
         # Create service with session
         with Session(db.engine) as session:
@@ -48,11 +58,11 @@ class RagPipelineImportApi(Resource):
             account = current_user
             result = import_service.import_rag_pipeline(
                 account=account,
-                import_mode=args["mode"],
-                yaml_content=args.get("yaml_content"),
-                yaml_url=args.get("yaml_url"),
-                pipeline_id=args.get("pipeline_id"),
-                dataset_name=args.get("name"),
+                import_mode=payload.mode,
+                yaml_content=payload.yaml_content,
+                yaml_url=payload.yaml_url,
+                pipeline_id=payload.pipeline_id,
+                dataset_name=payload.name,
             )
             session.commit()
 
@@ -114,13 +124,12 @@ class RagPipelineExportApi(Resource):
     @edit_permission_required
     def get(self, pipeline: Pipeline):
         # Add include_secret params
-        parser = reqparse.RequestParser().add_argument("include_secret", type=str, default="false", location="args")
-        args = parser.parse_args()
+        query = IncludeSecretQuery.model_validate(request.args.to_dict())
 
         with Session(db.engine) as session:
             export_service = RagPipelineDslService(session)
             result = export_service.export_rag_pipeline_dsl(
-                pipeline=pipeline, include_secret=args["include_secret"] == "true"
+                pipeline=pipeline, include_secret=query.include_secret == "true"
             )
 
         return {"data": result}, 200

api/controllers/console/datasets/rag_pipeline/rag_pipeline_workflow.py

@@ -1,14 +1,16 @@
 import json
 import logging
-from typing import cast
+from typing import Any, Literal, cast
+from uuid import UUID
 
 from flask import abort, request
-from flask_restx import Resource, inputs, marshal_with, reqparse  # type: ignore  # type: ignore
-from flask_restx.inputs import int_range  # type: ignore
+from flask_restx import Resource, marshal_with  # type: ignore
+from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.app.error import (
     ConversationCompletedError,
@@ -36,7 +38,7 @@ from fields.workflow_run_fields import (
     workflow_run_pagination_fields,
 )
 from libs import helper
-from libs.helper import TimestampField, uuid_value
+from libs.helper import TimestampField
 from libs.login import current_account_with_tenant, current_user, login_required
 from models import Account
 from models.dataset import Pipeline
@@ -51,6 +53,91 @@ from services.rag_pipeline.rag_pipeline_transform_service import RagPipelineTran
 logger = logging.getLogger(__name__)
 
 
+class DraftWorkflowSyncPayload(BaseModel):
+    graph: dict[str, Any]
+    hash: str | None = None
+    environment_variables: list[dict[str, Any]] | None = None
+    conversation_variables: list[dict[str, Any]] | None = None
+    rag_pipeline_variables: list[dict[str, Any]] | None = None
+    features: dict[str, Any] | None = None
+
+
+class NodeRunPayload(BaseModel):
+    inputs: dict[str, Any] | None = None
+
+
+class NodeRunRequiredPayload(BaseModel):
+    inputs: dict[str, Any]
+
+
+class DatasourceNodeRunPayload(BaseModel):
+    inputs: dict[str, Any]
+    datasource_type: str
+    credential_id: str | None = None
+
+
+class DraftWorkflowRunPayload(BaseModel):
+    inputs: dict[str, Any]
+    datasource_type: str
+    datasource_info_list: list[dict[str, Any]]
+    start_node_id: str
+
+
+class PublishedWorkflowRunPayload(DraftWorkflowRunPayload):
+    is_preview: bool = False
+    response_mode: Literal["streaming", "blocking"] = "streaming"
+    original_document_id: str | None = None
+
+
+class DefaultBlockConfigQuery(BaseModel):
+    q: str | None = None
+
+
+class WorkflowListQuery(BaseModel):
+    page: int = Field(default=1, ge=1, le=99999)
+    limit: int = Field(default=10, ge=1, le=100)
+    user_id: str | None = None
+    named_only: bool = False
+
+
+class WorkflowUpdatePayload(BaseModel):
+    marked_name: str | None = Field(default=None, max_length=20)
+    marked_comment: str | None = Field(default=None, max_length=100)
+
+
+class NodeIdQuery(BaseModel):
+    node_id: str
+
+
+class WorkflowRunQuery(BaseModel):
+    last_id: UUID | None = None
+    limit: int = Field(default=20, ge=1, le=100)
+
+
+class DatasourceVariablesPayload(BaseModel):
+    datasource_type: str
+    datasource_info: dict[str, Any]
+    start_node_id: str
+    start_node_title: str
+
+
+register_schema_models(
+    console_ns,
+    DraftWorkflowSyncPayload,
+    NodeRunPayload,
+    NodeRunRequiredPayload,
+    DatasourceNodeRunPayload,
+    DraftWorkflowRunPayload,
+    PublishedWorkflowRunPayload,
+    DefaultBlockConfigQuery,
+    WorkflowListQuery,
+    WorkflowUpdatePayload,
+    NodeIdQuery,
+    WorkflowRunQuery,
+    DatasourceVariablesPayload,
+)
+
+
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft")
 class DraftRagPipelineApi(Resource):
     @setup_required
@@ -88,15 +175,7 @@ class DraftRagPipelineApi(Resource):
         content_type = request.headers.get("Content-Type", "")
 
         if "application/json" in content_type:
-            parser = (
-                reqparse.RequestParser()
-                .add_argument("graph", type=dict, required=True, nullable=False, location="json")
-                .add_argument("hash", type=str, required=False, location="json")
-                .add_argument("environment_variables", type=list, required=False, location="json")
-                .add_argument("conversation_variables", type=list, required=False, location="json")
-                .add_argument("rag_pipeline_variables", type=list, required=False, location="json")
-            )
-            args = parser.parse_args()
+            payload_dict = console_ns.payload or {}
         elif "text/plain" in content_type:
             try:
                 data = json.loads(request.data.decode("utf-8"))
@@ -106,7 +185,7 @@ class DraftRagPipelineApi(Resource):
                 if not isinstance(data.get("graph"), dict):
                     raise ValueError("graph is not a dict")
 
-                args = {
+                payload_dict = {
                     "graph": data.get("graph"),
                     "features": data.get("features"),
                     "hash": data.get("hash"),
@@ -119,24 +198,26 @@ class DraftRagPipelineApi(Resource):
         else:
             abort(415)
 
+        payload = DraftWorkflowSyncPayload.model_validate(payload_dict)
+
         try:
-            environment_variables_list = args.get("environment_variables") or []
+            environment_variables_list = payload.environment_variables or []
             environment_variables = [
                 variable_factory.build_environment_variable_from_mapping(obj) for obj in environment_variables_list
             ]
-            conversation_variables_list = args.get("conversation_variables") or []
+            conversation_variables_list = payload.conversation_variables or []
             conversation_variables = [
                 variable_factory.build_conversation_variable_from_mapping(obj) for obj in conversation_variables_list
             ]
             rag_pipeline_service = RagPipelineService()
             workflow = rag_pipeline_service.sync_draft_workflow(
                 pipeline=pipeline,
-                graph=args["graph"],
-                unique_hash=args.get("hash"),
+                graph=payload.graph,
+                unique_hash=payload.hash,
                 account=current_user,
                 environment_variables=environment_variables,
                 conversation_variables=conversation_variables,
-                rag_pipeline_variables=args.get("rag_pipeline_variables") or [],
+                rag_pipeline_variables=payload.rag_pipeline_variables or [],
             )
         except WorkflowHashNotEqualError:
             raise DraftWorkflowNotSync()
@@ -148,12 +229,9 @@ class DraftRagPipelineApi(Resource):
         }
 
 
-parser_run = reqparse.RequestParser().add_argument("inputs", type=dict, location="json")
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft/iteration/nodes/<string:node_id>/run")
 class RagPipelineDraftRunIterationNodeApi(Resource):
-    @console_ns.expect(parser_run)
+    @console_ns.expect(console_ns.models[NodeRunPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -166,7 +244,8 @@ class RagPipelineDraftRunIterationNodeApi(Resource):
         # The role of the current user in the ta table must be admin, owner, or editor
         current_user, _ = current_account_with_tenant()
 
-        args = parser_run.parse_args()
+        payload = NodeRunPayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
 
         try:
             response = PipelineGenerateService.generate_single_iteration(
@@ -187,7 +266,7 @@ class RagPipelineDraftRunIterationNodeApi(Resource):
 
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft/loop/nodes/<string:node_id>/run")
 class RagPipelineDraftRunLoopNodeApi(Resource):
-    @console_ns.expect(parser_run)
+    @console_ns.expect(console_ns.models[NodeRunPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -200,7 +279,8 @@ class RagPipelineDraftRunLoopNodeApi(Resource):
         # The role of the current user in the ta table must be admin, owner, or editor
         current_user, _ = current_account_with_tenant()
 
-        args = parser_run.parse_args()
+        payload = NodeRunPayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
 
         try:
             response = PipelineGenerateService.generate_single_loop(
@@ -219,18 +299,9 @@ class RagPipelineDraftRunLoopNodeApi(Resource):
             raise InternalServerError()
 
 
-parser_draft_run = (
-    reqparse.RequestParser()
-    .add_argument("inputs", type=dict, required=True, nullable=False, location="json")
-    .add_argument("datasource_type", type=str, required=True, location="json")
-    .add_argument("datasource_info_list", type=list, required=True, location="json")
-    .add_argument("start_node_id", type=str, required=True, location="json")
-)
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft/run")
 class DraftRagPipelineRunApi(Resource):
-    @console_ns.expect(parser_draft_run)
+    @console_ns.expect(console_ns.models[DraftWorkflowRunPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -243,7 +314,8 @@ class DraftRagPipelineRunApi(Resource):
         # The role of the current user in the ta table must be admin, owner, or editor
         current_user, _ = current_account_with_tenant()
 
-        args = parser_draft_run.parse_args()
+        payload = DraftWorkflowRunPayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump()
 
         try:
             response = PipelineGenerateService.generate(
@@ -259,21 +331,9 @@ class DraftRagPipelineRunApi(Resource):
             raise InvokeRateLimitHttpError(ex.description)
 
 
-parser_published_run = (
-    reqparse.RequestParser()
-    .add_argument("inputs", type=dict, required=True, nullable=False, location="json")
-    .add_argument("datasource_type", type=str, required=True, location="json")
-    .add_argument("datasource_info_list", type=list, required=True, location="json")
-    .add_argument("start_node_id", type=str, required=True, location="json")
-    .add_argument("is_preview", type=bool, required=True, location="json", default=False)
-    .add_argument("response_mode", type=str, required=True, location="json", default="streaming")
-    .add_argument("original_document_id", type=str, required=False, location="json")
-)
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/published/run")
 class PublishedRagPipelineRunApi(Resource):
-    @console_ns.expect(parser_published_run)
+    @console_ns.expect(console_ns.models[PublishedWorkflowRunPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -286,16 +346,16 @@ class PublishedRagPipelineRunApi(Resource):
         # The role of the current user in the ta table must be admin, owner, or editor
         current_user, _ = current_account_with_tenant()
 
-        args = parser_published_run.parse_args()
-
-        streaming = args["response_mode"] == "streaming"
+        payload = PublishedWorkflowRunPayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
+        streaming = payload.response_mode == "streaming"
 
         try:
             response = PipelineGenerateService.generate(
                 pipeline=pipeline,
                 user=current_user,
                 args=args,
-                invoke_from=InvokeFrom.DEBUGGER if args.get("is_preview") else InvokeFrom.PUBLISHED,
+                invoke_from=InvokeFrom.DEBUGGER if payload.is_preview else InvokeFrom.PUBLISHED,
                 streaming=streaming,
             )
 
@@ -387,17 +447,9 @@ class PublishedRagPipelineRunApi(Resource):
 #
 #         return result
 #
-parser_rag_run = (
-    reqparse.RequestParser()
-    .add_argument("inputs", type=dict, required=True, nullable=False, location="json")
-    .add_argument("datasource_type", type=str, required=True, location="json")
-    .add_argument("credential_id", type=str, required=False, location="json")
-)
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/published/datasource/nodes/<string:node_id>/run")
 class RagPipelinePublishedDatasourceNodeRunApi(Resource):
-    @console_ns.expect(parser_rag_run)
+    @console_ns.expect(console_ns.models[DatasourceNodeRunPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -410,14 +462,7 @@ class RagPipelinePublishedDatasourceNodeRunApi(Resource):
         # The role of the current user in the ta table must be admin, owner, or editor
         current_user, _ = current_account_with_tenant()
 
-        args = parser_rag_run.parse_args()
-
-        inputs = args.get("inputs")
-        if inputs is None:
-            raise ValueError("missing inputs")
-        datasource_type = args.get("datasource_type")
-        if datasource_type is None:
-            raise ValueError("missing datasource_type")
+        payload = DatasourceNodeRunPayload.model_validate(console_ns.payload or {})
 
         rag_pipeline_service = RagPipelineService()
         return helper.compact_generate_response(
@@ -425,11 +470,11 @@ class RagPipelinePublishedDatasourceNodeRunApi(Resource):
                 rag_pipeline_service.run_datasource_workflow_node(
                     pipeline=pipeline,
                     node_id=node_id,
-                    user_inputs=inputs,
+                    user_inputs=payload.inputs,
                     account=current_user,
-                    datasource_type=datasource_type,
+                    datasource_type=payload.datasource_type,
                     is_published=False,
-                    credential_id=args.get("credential_id"),
+                    credential_id=payload.credential_id,
                 )
             )
         )
@@ -437,7 +482,7 @@ class RagPipelinePublishedDatasourceNodeRunApi(Resource):
 
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft/datasource/nodes/<string:node_id>/run")
 class RagPipelineDraftDatasourceNodeRunApi(Resource):
-    @console_ns.expect(parser_rag_run)
+    @console_ns.expect(console_ns.models[DatasourceNodeRunPayload.__name__])
     @setup_required
     @login_required
     @edit_permission_required
@@ -450,14 +495,7 @@ class RagPipelineDraftDatasourceNodeRunApi(Resource):
         # The role of the current user in the ta table must be admin, owner, or editor
         current_user, _ = current_account_with_tenant()
 
-        args = parser_rag_run.parse_args()
-
-        inputs = args.get("inputs")
-        if inputs is None:
-            raise ValueError("missing inputs")
-        datasource_type = args.get("datasource_type")
-        if datasource_type is None:
-            raise ValueError("missing datasource_type")
+        payload = DatasourceNodeRunPayload.model_validate(console_ns.payload or {})
 
         rag_pipeline_service = RagPipelineService()
         return helper.compact_generate_response(
@@ -465,24 +503,19 @@ class RagPipelineDraftDatasourceNodeRunApi(Resource):
                 rag_pipeline_service.run_datasource_workflow_node(
                     pipeline=pipeline,
                     node_id=node_id,
-                    user_inputs=inputs,
+                    user_inputs=payload.inputs,
                     account=current_user,
-                    datasource_type=datasource_type,
+                    datasource_type=payload.datasource_type,
                     is_published=False,
-                    credential_id=args.get("credential_id"),
+                    credential_id=payload.credential_id,
                 )
             )
         )
 
 
-parser_run_api = reqparse.RequestParser().add_argument(
-    "inputs", type=dict, required=True, nullable=False, location="json"
-)
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft/nodes/<string:node_id>/run")
 class RagPipelineDraftNodeRunApi(Resource):
-    @console_ns.expect(parser_run_api)
+    @console_ns.expect(console_ns.models[NodeRunRequiredPayload.__name__])
     @setup_required
     @login_required
     @edit_permission_required
@@ -496,11 +529,8 @@ class RagPipelineDraftNodeRunApi(Resource):
         # The role of the current user in the ta table must be admin, owner, or editor
         current_user, _ = current_account_with_tenant()
 
-        args = parser_run_api.parse_args()
-
-        inputs = args.get("inputs")
-        if inputs == None:
-            raise ValueError("missing inputs")
+        payload = NodeRunRequiredPayload.model_validate(console_ns.payload or {})
+        inputs = payload.inputs
 
         rag_pipeline_service = RagPipelineService()
         workflow_node_execution = rag_pipeline_service.run_draft_workflow_node(
@@ -602,12 +632,8 @@ class DefaultRagPipelineBlockConfigsApi(Resource):
         return rag_pipeline_service.get_default_block_configs()
 
 
-parser_default = reqparse.RequestParser().add_argument("q", type=str, location="args")
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/default-workflow-block-configs/<string:block_type>")
 class DefaultRagPipelineBlockConfigApi(Resource):
-    @console_ns.expect(parser_default)
     @setup_required
     @login_required
     @account_initialization_required
@@ -617,14 +643,12 @@ class DefaultRagPipelineBlockConfigApi(Resource):
         """
         Get default block config
         """
-        args = parser_default.parse_args()
-
-        q = args.get("q")
+        query = DefaultBlockConfigQuery.model_validate(request.args.to_dict())
 
         filters = None
-        if q:
+        if query.q:
             try:
-                filters = json.loads(args.get("q", ""))
+                filters = json.loads(query.q)
             except json.JSONDecodeError:
                 raise ValueError("Invalid filters")
 
@@ -633,18 +657,8 @@ class DefaultRagPipelineBlockConfigApi(Resource):
         return rag_pipeline_service.get_default_block_config(node_type=block_type, filters=filters)
 
 
-parser_wf = (
-    reqparse.RequestParser()
-    .add_argument("page", type=inputs.int_range(1, 99999), required=False, default=1, location="args")
-    .add_argument("limit", type=inputs.int_range(1, 100), required=False, default=10, location="args")
-    .add_argument("user_id", type=str, required=False, location="args")
-    .add_argument("named_only", type=inputs.boolean, required=False, default=False, location="args")
-)
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows")
 class PublishedAllRagPipelineApi(Resource):
-    @console_ns.expect(parser_wf)
     @setup_required
     @login_required
     @account_initialization_required
@@ -657,16 +671,16 @@ class PublishedAllRagPipelineApi(Resource):
         """
         current_user, _ = current_account_with_tenant()
 
-        args = parser_wf.parse_args()
-        page = args["page"]
-        limit = args["limit"]
-        user_id = args.get("user_id")
-        named_only = args.get("named_only", False)
+        query = WorkflowListQuery.model_validate(request.args.to_dict())
+
+        page = query.page
+        limit = query.limit
+        user_id = query.user_id
+        named_only = query.named_only
 
         if user_id:
             if user_id != current_user.id:
                 raise Forbidden()
-            user_id = cast(str, user_id)
 
         rag_pipeline_service = RagPipelineService()
         with Session(db.engine) as session:
@@ -687,16 +701,8 @@ class PublishedAllRagPipelineApi(Resource):
             }
 
 
-parser_wf_id = (
-    reqparse.RequestParser()
-    .add_argument("marked_name", type=str, required=False, location="json")
-    .add_argument("marked_comment", type=str, required=False, location="json")
-)
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/<string:workflow_id>")
 class RagPipelineByIdApi(Resource):
-    @console_ns.expect(parser_wf_id)
     @setup_required
     @login_required
     @account_initialization_required
@@ -710,20 +716,8 @@ class RagPipelineByIdApi(Resource):
         # Check permission
         current_user, _ = current_account_with_tenant()
 
-        args = parser_wf_id.parse_args()
-
-        # Validate name and comment length
-        if args.marked_name and len(args.marked_name) > 20:
-            raise ValueError("Marked name cannot exceed 20 characters")
-        if args.marked_comment and len(args.marked_comment) > 100:
-            raise ValueError("Marked comment cannot exceed 100 characters")
-
-        # Prepare update data
-        update_data = {}
-        if args.get("marked_name") is not None:
-            update_data["marked_name"] = args["marked_name"]
-        if args.get("marked_comment") is not None:
-            update_data["marked_comment"] = args["marked_comment"]
+        payload = WorkflowUpdatePayload.model_validate(console_ns.payload or {})
+        update_data = payload.model_dump(exclude_unset=True)
 
         if not update_data:
             return {"message": "No valid fields to update"}, 400
@@ -749,12 +743,8 @@ class RagPipelineByIdApi(Resource):
         return workflow
 
 
-parser_parameters = reqparse.RequestParser().add_argument("node_id", type=str, required=True, location="args")
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/published/processing/parameters")
 class PublishedRagPipelineSecondStepApi(Resource):
-    @console_ns.expect(parser_parameters)
     @setup_required
     @login_required
     @account_initialization_required
@@ -764,10 +754,8 @@ class PublishedRagPipelineSecondStepApi(Resource):
         """
         Get second step parameters of rag pipeline
         """
-        args = parser_parameters.parse_args()
-        node_id = args.get("node_id")
-        if not node_id:
-            raise ValueError("Node ID is required")
+        query = NodeIdQuery.model_validate(request.args.to_dict())
+        node_id = query.node_id
         rag_pipeline_service = RagPipelineService()
         variables = rag_pipeline_service.get_second_step_parameters(pipeline=pipeline, node_id=node_id, is_draft=False)
         return {
@@ -777,7 +765,6 @@ class PublishedRagPipelineSecondStepApi(Resource):
 
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/published/pre-processing/parameters")
 class PublishedRagPipelineFirstStepApi(Resource):
-    @console_ns.expect(parser_parameters)
     @setup_required
     @login_required
     @account_initialization_required
@@ -787,10 +774,8 @@ class PublishedRagPipelineFirstStepApi(Resource):
         """
         Get first step parameters of rag pipeline
         """
-        args = parser_parameters.parse_args()
-        node_id = args.get("node_id")
-        if not node_id:
-            raise ValueError("Node ID is required")
+        query = NodeIdQuery.model_validate(request.args.to_dict())
+        node_id = query.node_id
         rag_pipeline_service = RagPipelineService()
         variables = rag_pipeline_service.get_first_step_parameters(pipeline=pipeline, node_id=node_id, is_draft=False)
         return {
@@ -800,7 +785,6 @@ class PublishedRagPipelineFirstStepApi(Resource):
 
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft/pre-processing/parameters")
 class DraftRagPipelineFirstStepApi(Resource):
-    @console_ns.expect(parser_parameters)
     @setup_required
     @login_required
     @account_initialization_required
@@ -810,10 +794,8 @@ class DraftRagPipelineFirstStepApi(Resource):
         """
         Get first step parameters of rag pipeline
         """
-        args = parser_parameters.parse_args()
-        node_id = args.get("node_id")
-        if not node_id:
-            raise ValueError("Node ID is required")
+        query = NodeIdQuery.model_validate(request.args.to_dict())
+        node_id = query.node_id
         rag_pipeline_service = RagPipelineService()
         variables = rag_pipeline_service.get_first_step_parameters(pipeline=pipeline, node_id=node_id, is_draft=True)
         return {
@@ -823,7 +805,6 @@ class DraftRagPipelineFirstStepApi(Resource):
 
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft/processing/parameters")
 class DraftRagPipelineSecondStepApi(Resource):
-    @console_ns.expect(parser_parameters)
     @setup_required
     @login_required
     @account_initialization_required
@@ -833,10 +814,8 @@ class DraftRagPipelineSecondStepApi(Resource):
         """
         Get second step parameters of rag pipeline
         """
-        args = parser_parameters.parse_args()
-        node_id = args.get("node_id")
-        if not node_id:
-            raise ValueError("Node ID is required")
+        query = NodeIdQuery.model_validate(request.args.to_dict())
+        node_id = query.node_id
 
         rag_pipeline_service = RagPipelineService()
         variables = rag_pipeline_service.get_second_step_parameters(pipeline=pipeline, node_id=node_id, is_draft=True)
@@ -845,16 +824,8 @@ class DraftRagPipelineSecondStepApi(Resource):
         }
 
 
-parser_wf_run = (
-    reqparse.RequestParser()
-    .add_argument("last_id", type=uuid_value, location="args")
-    .add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args")
-)
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflow-runs")
 class RagPipelineWorkflowRunListApi(Resource):
-    @console_ns.expect(parser_wf_run)
     @setup_required
     @login_required
     @account_initialization_required
@@ -864,7 +835,16 @@ class RagPipelineWorkflowRunListApi(Resource):
         """
         Get workflow run list
         """
-        args = parser_wf_run.parse_args()
+        query = WorkflowRunQuery.model_validate(
+            {
+                "last_id": request.args.get("last_id"),
+                "limit": request.args.get("limit", type=int, default=20),
+            }
+        )
+        args = {
+            "last_id": str(query.last_id) if query.last_id else None,
+            "limit": query.limit,
+        }
 
         rag_pipeline_service = RagPipelineService()
         result = rag_pipeline_service.get_rag_pipeline_paginate_workflow_runs(pipeline=pipeline, args=args)
@@ -964,18 +944,9 @@ class RagPipelineTransformApi(Resource):
         return result
 
 
-parser_var = (
-    reqparse.RequestParser()
-    .add_argument("datasource_type", type=str, required=True, location="json")
-    .add_argument("datasource_info", type=dict, required=True, location="json")
-    .add_argument("start_node_id", type=str, required=True, location="json")
-    .add_argument("start_node_title", type=str, required=True, location="json")
-)
-
-
 @console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/draft/datasource/variables-inspect")
 class RagPipelineDatasourceVariableApi(Resource):
-    @console_ns.expect(parser_var)
+    @console_ns.expect(console_ns.models[DatasourceVariablesPayload.__name__])
     @setup_required
     @login_required
     @account_initialization_required
@@ -987,7 +958,7 @@ class RagPipelineDatasourceVariableApi(Resource):
         Set datasource variables
         """
         current_user, _ = current_account_with_tenant()
-        args = parser_var.parse_args()
+        args = DatasourceVariablesPayload.model_validate(console_ns.payload or {}).model_dump()
 
         rag_pipeline_service = RagPipelineService()
         workflow_node_execution = rag_pipeline_service.set_datasource_variables(

api/controllers/console/datasets/website.py

@@ -1,5 +1,10 @@
-from flask_restx import Resource, fields, reqparse
+from typing import Literal
 
+from flask import request
+from flask_restx import Resource
+from pydantic import BaseModel
+
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.datasets.error import WebsiteCrawlError
 from controllers.console.wraps import account_initialization_required, setup_required
@@ -7,48 +12,35 @@ from libs.login import login_required
 from services.website_service import WebsiteCrawlApiRequest, WebsiteCrawlStatusApiRequest, WebsiteService
 
 
+class WebsiteCrawlPayload(BaseModel):
+    provider: Literal["firecrawl", "watercrawl", "jinareader"]
+    url: str
+    options: dict[str, object]
+
+
+class WebsiteCrawlStatusQuery(BaseModel):
+    provider: Literal["firecrawl", "watercrawl", "jinareader"]
+
+
+register_schema_models(console_ns, WebsiteCrawlPayload, WebsiteCrawlStatusQuery)
+
+
 @console_ns.route("/website/crawl")
 class WebsiteCrawlApi(Resource):
     @console_ns.doc("crawl_website")
     @console_ns.doc(description="Crawl website content")
-    @console_ns.expect(
-        console_ns.model(
-            "WebsiteCrawlRequest",
-            {
-                "provider": fields.String(
-                    required=True,
-                    description="Crawl provider (firecrawl/watercrawl/jinareader)",
-                    enum=["firecrawl", "watercrawl", "jinareader"],
-                ),
-                "url": fields.String(required=True, description="URL to crawl"),
-                "options": fields.Raw(required=True, description="Crawl options"),
-            },
-        )
-    )
+    @console_ns.expect(console_ns.models[WebsiteCrawlPayload.__name__])
     @console_ns.response(200, "Website crawl initiated successfully")
     @console_ns.response(400, "Invalid crawl parameters")
     @setup_required
     @login_required
     @account_initialization_required
     def post(self):
-        parser = (
-            reqparse.RequestParser()
-            .add_argument(
-                "provider",
-                type=str,
-                choices=["firecrawl", "watercrawl", "jinareader"],
-                required=True,
-                nullable=True,
-                location="json",
-            )
-            .add_argument("url", type=str, required=True, nullable=True, location="json")
-            .add_argument("options", type=dict, required=True, nullable=True, location="json")
-        )
-        args = parser.parse_args()
+        payload = WebsiteCrawlPayload.model_validate(console_ns.payload or {})
 
         # Create typed request and validate
         try:
-            api_request = WebsiteCrawlApiRequest.from_args(args)
+            api_request = WebsiteCrawlApiRequest.from_args(payload.model_dump())
         except ValueError as e:
             raise WebsiteCrawlError(str(e))
 
@@ -65,6 +57,7 @@ class WebsiteCrawlStatusApi(Resource):
     @console_ns.doc("get_crawl_status")
     @console_ns.doc(description="Get website crawl status")
     @console_ns.doc(params={"job_id": "Crawl job ID", "provider": "Crawl provider (firecrawl/watercrawl/jinareader)"})
+    @console_ns.expect(console_ns.models[WebsiteCrawlStatusQuery.__name__])
     @console_ns.response(200, "Crawl status retrieved successfully")
     @console_ns.response(404, "Crawl job not found")
     @console_ns.response(400, "Invalid provider")
@@ -72,14 +65,11 @@ class WebsiteCrawlStatusApi(Resource):
     @login_required
     @account_initialization_required
     def get(self, job_id: str):
-        parser = reqparse.RequestParser().add_argument(
-            "provider", type=str, choices=["firecrawl", "watercrawl", "jinareader"], required=True, location="args"
-        )
-        args = parser.parse_args()
+        args = WebsiteCrawlStatusQuery.model_validate(request.args.to_dict())
 
         # Create typed request and validate
         try:
-            api_request = WebsiteCrawlStatusApiRequest.from_args(args, job_id)
+            api_request = WebsiteCrawlStatusApiRequest.from_args(args.model_dump(), job_id)
         except ValueError as e:
             raise WebsiteCrawlError(str(e))
 

api/controllers/console/explore/audio.py

@@ -1,9 +1,11 @@
 import logging
 
 from flask import request
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import InternalServerError
 
 import services
+from controllers.common.schema import register_schema_model
 from controllers.console.app.error import (
     AppUnavailableError,
     AudioTooLargeError,
@@ -31,6 +33,16 @@ from .. import console_ns
 logger = logging.getLogger(__name__)
 
 
+class TextToAudioPayload(BaseModel):
+    message_id: str | None = None
+    voice: str | None = None
+    text: str | None = None
+    streaming: bool | None = Field(default=None, description="Enable streaming response")
+
+
+register_schema_model(console_ns, TextToAudioPayload)
+
+
 @console_ns.route(
     "/installed-apps/<uuid:installed_app_id>/audio-to-text",
     endpoint="installed_app_audio",
@@ -76,23 +88,15 @@ class ChatAudioApi(InstalledAppResource):
     endpoint="installed_app_text",
 )
 class ChatTextApi(InstalledAppResource):
+    @console_ns.expect(console_ns.models[TextToAudioPayload.__name__])
     def post(self, installed_app):
-        from flask_restx import reqparse
-
         app_model = installed_app.app
         try:
-            parser = (
-                reqparse.RequestParser()
-                .add_argument("message_id", type=str, required=False, location="json")
-                .add_argument("voice", type=str, location="json")
-                .add_argument("text", type=str, location="json")
-                .add_argument("streaming", type=bool, location="json")
-            )
-            args = parser.parse_args()
+            payload = TextToAudioPayload.model_validate(console_ns.payload or {})
 
-            message_id = args.get("message_id", None)
-            text = args.get("text", None)
-            voice = args.get("voice", None)
+            message_id = payload.message_id
+            text = payload.text
+            voice = payload.voice
 
             response = AudioService.transcript_tts(app_model=app_model, text=text, voice=voice, message_id=message_id)
             return response

api/controllers/console/explore/completion.py

@@ -1,9 +1,12 @@
 import logging
+from typing import Any, Literal
+from uuid import UUID
 
-from flask_restx import reqparse
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import InternalServerError, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.console.app.error import (
     AppUnavailableError,
     CompletionRequestError,
@@ -25,7 +28,6 @@ from core.model_runtime.errors.invoke import InvokeError
 from extensions.ext_database import db
 from libs import helper
 from libs.datetime_utils import naive_utc_now
-from libs.helper import uuid_value
 from libs.login import current_user
 from models import Account
 from models.model import AppMode
@@ -38,28 +40,42 @@ from .. import console_ns
 logger = logging.getLogger(__name__)
 
 
+class CompletionMessagePayload(BaseModel):
+    inputs: dict[str, Any]
+    query: str = ""
+    files: list[dict[str, Any]] | None = None
+    response_mode: Literal["blocking", "streaming"] | None = None
+    retriever_from: str = Field(default="explore_app")
+
+
+class ChatMessagePayload(BaseModel):
+    inputs: dict[str, Any]
+    query: str
+    files: list[dict[str, Any]] | None = None
+    conversation_id: UUID | None = None
+    parent_message_id: UUID | None = None
+    retriever_from: str = Field(default="explore_app")
+
+
+register_schema_models(console_ns, CompletionMessagePayload, ChatMessagePayload)
+
+
 # define completion api for user
 @console_ns.route(
     "/installed-apps/<uuid:installed_app_id>/completion-messages",
     endpoint="installed_app_completion",
 )
 class CompletionApi(InstalledAppResource):
+    @console_ns.expect(console_ns.models[CompletionMessagePayload.__name__])
     def post(self, installed_app):
         app_model = installed_app.app
         if app_model.mode != AppMode.COMPLETION:
             raise NotCompletionAppError()
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("inputs", type=dict, required=True, location="json")
-            .add_argument("query", type=str, location="json", default="")
-            .add_argument("files", type=list, required=False, location="json")
-            .add_argument("response_mode", type=str, choices=["blocking", "streaming"], location="json")
-            .add_argument("retriever_from", type=str, required=False, default="explore_app", location="json")
-        )
-        args = parser.parse_args()
+        payload = CompletionMessagePayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
 
-        streaming = args["response_mode"] == "streaming"
+        streaming = payload.response_mode == "streaming"
         args["auto_generate_name"] = False
 
         installed_app.last_used_at = naive_utc_now()
@@ -123,22 +139,15 @@ class CompletionStopApi(InstalledAppResource):
     endpoint="installed_app_chat_completion",
 )
 class ChatApi(InstalledAppResource):
+    @console_ns.expect(console_ns.models[ChatMessagePayload.__name__])
     def post(self, installed_app):
         app_model = installed_app.app
         app_mode = AppMode.value_of(app_model.mode)
         if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
             raise NotChatAppError()
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("inputs", type=dict, required=True, location="json")
-            .add_argument("query", type=str, required=True, location="json")
-            .add_argument("files", type=list, required=False, location="json")
-            .add_argument("conversation_id", type=uuid_value, location="json")
-            .add_argument("parent_message_id", type=uuid_value, required=False, location="json")
-            .add_argument("retriever_from", type=str, required=False, default="explore_app", location="json")
-        )
-        args = parser.parse_args()
+        payload = ChatMessagePayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
 
         args["auto_generate_name"] = False
 

api/controllers/console/explore/conversation.py

@@ -1,14 +1,18 @@
-from flask_restx import marshal_with, reqparse
-from flask_restx.inputs import int_range
+from typing import Any
+from uuid import UUID
+
+from flask import request
+from flask_restx import marshal_with
+from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
 from werkzeug.exceptions import NotFound
 
+from controllers.common.schema import register_schema_models
 from controllers.console.explore.error import NotChatAppError
 from controllers.console.explore.wraps import InstalledAppResource
 from core.app.entities.app_invoke_entities import InvokeFrom
 from extensions.ext_database import db
 from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
-from libs.helper import uuid_value
 from libs.login import current_user
 from models import Account
 from models.model import AppMode
@@ -19,29 +23,44 @@ from services.web_conversation_service import WebConversationService
 from .. import console_ns
 
 
+class ConversationListQuery(BaseModel):
+    last_id: UUID | None = None
+    limit: int = Field(default=20, ge=1, le=100)
+    pinned: bool | None = None
+
+
+class ConversationRenamePayload(BaseModel):
+    name: str
+    auto_generate: bool = False
+
+
+register_schema_models(console_ns, ConversationListQuery, ConversationRenamePayload)
+
+
 @console_ns.route(
     "/installed-apps/<uuid:installed_app_id>/conversations",
     endpoint="installed_app_conversations",
 )
 class ConversationListApi(InstalledAppResource):
     @marshal_with(conversation_infinite_scroll_pagination_fields)
+    @console_ns.expect(console_ns.models[ConversationListQuery.__name__])
     def get(self, installed_app):
         app_model = installed_app.app
         app_mode = AppMode.value_of(app_model.mode)
         if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
             raise NotChatAppError()
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("last_id", type=uuid_value, location="args")
-            .add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args")
-            .add_argument("pinned", type=str, choices=["true", "false", None], location="args")
-        )
-        args = parser.parse_args()
-
-        pinned = None
-        if "pinned" in args and args["pinned"] is not None:
-            pinned = args["pinned"] == "true"
+        raw_args: dict[str, Any] = {
+            "last_id": request.args.get("last_id"),
+            "limit": request.args.get("limit", default=20, type=int),
+            "pinned": request.args.get("pinned"),
+        }
+        if raw_args["last_id"] is None:
+            raw_args["last_id"] = None
+        pinned_value = raw_args["pinned"]
+        if isinstance(pinned_value, str):
+            raw_args["pinned"] = pinned_value == "true"
+        args = ConversationListQuery.model_validate(raw_args)
 
         try:
             if not isinstance(current_user, Account):
@@ -51,10 +70,10 @@ class ConversationListApi(InstalledAppResource):
                     session=session,
                     app_model=app_model,
                     user=current_user,
-                    last_id=args["last_id"],
-                    limit=args["limit"],
+                    last_id=str(args.last_id) if args.last_id else None,
+                    limit=args.limit,
                     invoke_from=InvokeFrom.EXPLORE,
-                    pinned=pinned,
+                    pinned=args.pinned,
                 )
         except LastConversationNotExistsError:
             raise NotFound("Last Conversation Not Exists.")
@@ -88,6 +107,7 @@ class ConversationApi(InstalledAppResource):
 )
 class ConversationRenameApi(InstalledAppResource):
     @marshal_with(simple_conversation_fields)
+    @console_ns.expect(console_ns.models[ConversationRenamePayload.__name__])
     def post(self, installed_app, c_id):
         app_model = installed_app.app
         app_mode = AppMode.value_of(app_model.mode)
@@ -96,18 +116,13 @@ class ConversationRenameApi(InstalledAppResource):
 
         conversation_id = str(c_id)
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("name", type=str, required=False, location="json")
-            .add_argument("auto_generate", type=bool, required=False, default=False, location="json")
-        )
-        args = parser.parse_args()
+        payload = ConversationRenamePayload.model_validate(console_ns.payload or {})
 
         try:
             if not isinstance(current_user, Account):
                 raise ValueError("current_user must be an Account instance")
             return ConversationService.rename(
-                app_model, conversation_id, current_user, args["name"], args["auto_generate"]
+                app_model, conversation_id, current_user, payload.name, payload.auto_generate
             )
         except ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")

api/controllers/console/explore/message.py

@@ -1,9 +1,13 @@
 import logging
+from typing import Literal
+from uuid import UUID
 
-from flask_restx import marshal_with, reqparse
-from flask_restx.inputs import int_range
+from flask import request
+from flask_restx import marshal_with
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import InternalServerError, NotFound
 
+from controllers.common.schema import register_schema_models
 from controllers.console.app.error import (
     AppMoreLikeThisDisabledError,
     CompletionRequestError,
@@ -22,7 +26,6 @@ from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotIni
 from core.model_runtime.errors.invoke import InvokeError
 from fields.message_fields import message_infinite_scroll_pagination_fields
 from libs import helper
-from libs.helper import uuid_value
 from libs.login import current_account_with_tenant
 from models.model import AppMode
 from services.app_generate_service import AppGenerateService
@@ -40,12 +43,31 @@ from .. import console_ns
 logger = logging.getLogger(__name__)
 
 
+class MessageListQuery(BaseModel):
+    conversation_id: UUID
+    first_id: UUID | None = None
+    limit: int = Field(default=20, ge=1, le=100)
+
+
+class MessageFeedbackPayload(BaseModel):
+    rating: Literal["like", "dislike"] | None = None
+    content: str | None = None
+
+
+class MoreLikeThisQuery(BaseModel):
+    response_mode: Literal["blocking", "streaming"]
+
+
+register_schema_models(console_ns, MessageListQuery, MessageFeedbackPayload, MoreLikeThisQuery)
+
+
 @console_ns.route(
     "/installed-apps/<uuid:installed_app_id>/messages",
     endpoint="installed_app_messages",
 )
 class MessageListApi(InstalledAppResource):
     @marshal_with(message_infinite_scroll_pagination_fields)
+    @console_ns.expect(console_ns.models[MessageListQuery.__name__])
     def get(self, installed_app):
         current_user, _ = current_account_with_tenant()
         app_model = installed_app.app
@@ -53,18 +75,15 @@ class MessageListApi(InstalledAppResource):
         app_mode = AppMode.value_of(app_model.mode)
         if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
             raise NotChatAppError()
-
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("conversation_id", required=True, type=uuid_value, location="args")
-            .add_argument("first_id", type=uuid_value, location="args")
-            .add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args")
-        )
-        args = parser.parse_args()
+        args = MessageListQuery.model_validate(request.args.to_dict())
 
         try:
             return MessageService.pagination_by_first_id(
-                app_model, current_user, args["conversation_id"], args["first_id"], args["limit"]
+                app_model,
+                current_user,
+                str(args.conversation_id),
+                str(args.first_id) if args.first_id else None,
+                args.limit,
             )
         except ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
@@ -77,26 +96,22 @@ class MessageListApi(InstalledAppResource):
     endpoint="installed_app_message_feedback",
 )
 class MessageFeedbackApi(InstalledAppResource):
+    @console_ns.expect(console_ns.models[MessageFeedbackPayload.__name__])
     def post(self, installed_app, message_id):
         current_user, _ = current_account_with_tenant()
         app_model = installed_app.app
 
         message_id = str(message_id)
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("rating", type=str, choices=["like", "dislike", None], location="json")
-            .add_argument("content", type=str, location="json")
-        )
-        args = parser.parse_args()
+        payload = MessageFeedbackPayload.model_validate(console_ns.payload or {})
 
         try:
             MessageService.create_feedback(
                 app_model=app_model,
                 message_id=message_id,
                 user=current_user,
-                rating=args.get("rating"),
-                content=args.get("content"),
+                rating=payload.rating,
+                content=payload.content,
             )
         except MessageNotExistsError:
             raise NotFound("Message Not Exists.")
@@ -109,6 +124,7 @@ class MessageFeedbackApi(InstalledAppResource):
     endpoint="installed_app_more_like_this",
 )
 class MessageMoreLikeThisApi(InstalledAppResource):
+    @console_ns.expect(console_ns.models[MoreLikeThisQuery.__name__])
     def get(self, installed_app, message_id):
         current_user, _ = current_account_with_tenant()
         app_model = installed_app.app
@@ -117,12 +133,9 @@ class MessageMoreLikeThisApi(InstalledAppResource):
 
         message_id = str(message_id)
 
-        parser = reqparse.RequestParser().add_argument(
-            "response_mode", type=str, required=True, choices=["blocking", "streaming"], location="args"
-        )
-        args = parser.parse_args()
+        args = MoreLikeThisQuery.model_validate(request.args.to_dict())
 
-        streaming = args["response_mode"] == "streaming"
+        streaming = args.response_mode == "streaming"
 
         try:
             response = AppGenerateService.generate_more_like_this(

api/controllers/console/explore/saved_message.py

@@ -1,16 +1,33 @@
-from flask_restx import fields, marshal_with, reqparse
-from flask_restx.inputs import int_range
+from uuid import UUID
+
+from flask import request
+from flask_restx import fields, marshal_with
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import NotFound
 
+from controllers.common.schema import register_schema_models
 from controllers.console import console_ns
 from controllers.console.explore.error import NotCompletionAppError
 from controllers.console.explore.wraps import InstalledAppResource
 from fields.conversation_fields import message_file_fields
-from libs.helper import TimestampField, uuid_value
+from libs.helper import TimestampField
 from libs.login import current_account_with_tenant
 from services.errors.message import MessageNotExistsError
 from services.saved_message_service import SavedMessageService
 
+
+class SavedMessageListQuery(BaseModel):
+    last_id: UUID | None = None
+    limit: int = Field(default=20, ge=1, le=100)
+
+
+class SavedMessageCreatePayload(BaseModel):
+    message_id: UUID
+
+
+register_schema_models(console_ns, SavedMessageListQuery, SavedMessageCreatePayload)
+
+
 feedback_fields = {"rating": fields.String}
 
 message_fields = {
@@ -33,32 +50,33 @@ class SavedMessageListApi(InstalledAppResource):
     }
 
     @marshal_with(saved_message_infinite_scroll_pagination_fields)
+    @console_ns.expect(console_ns.models[SavedMessageListQuery.__name__])
     def get(self, installed_app):
         current_user, _ = current_account_with_tenant()
         app_model = installed_app.app
         if app_model.mode != "completion":
             raise NotCompletionAppError()
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("last_id", type=uuid_value, location="args")
-            .add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args")
+        args = SavedMessageListQuery.model_validate(request.args.to_dict())
+
+        return SavedMessageService.pagination_by_last_id(
+            app_model,
+            current_user,
+            str(args.last_id) if args.last_id else None,
+            args.limit,
         )
-        args = parser.parse_args()
-
-        return SavedMessageService.pagination_by_last_id(app_model, current_user, args["last_id"], args["limit"])
 
+    @console_ns.expect(console_ns.models[SavedMessageCreatePayload.__name__])
     def post(self, installed_app):
         current_user, _ = current_account_with_tenant()
         app_model = installed_app.app
         if app_model.mode != "completion":
             raise NotCompletionAppError()
 
-        parser = reqparse.RequestParser().add_argument("message_id", type=uuid_value, required=True, location="json")
-        args = parser.parse_args()
+        payload = SavedMessageCreatePayload.model_validate(console_ns.payload or {})
 
         try:
-            SavedMessageService.save(app_model, current_user, args["message_id"])
+            SavedMessageService.save(app_model, current_user, str(payload.message_id))
         except MessageNotExistsError:
             raise NotFound("Message Not Exists.")
 

api/controllers/console/explore/workflow.py

@@ -1,8 +1,10 @@
 import logging
+from typing import Any
 
-from flask_restx import reqparse
+from pydantic import BaseModel
 from werkzeug.exceptions import InternalServerError
 
+from controllers.common.schema import register_schema_model
 from controllers.console.app.error import (
     CompletionRequestError,
     ProviderModelCurrentlyNotSupportError,
@@ -32,8 +34,17 @@ from .. import console_ns
 logger = logging.getLogger(__name__)
 
 
+class WorkflowRunPayload(BaseModel):
+    inputs: dict[str, Any]
+    files: list[dict[str, Any]] | None = None
+
+
+register_schema_model(console_ns, WorkflowRunPayload)
+
+
 @console_ns.route("/installed-apps/<uuid:installed_app_id>/workflows/run")
 class InstalledAppWorkflowRunApi(InstalledAppResource):
+    @console_ns.expect(console_ns.models[WorkflowRunPayload.__name__])
     def post(self, installed_app: InstalledApp):
         """
         Run workflow
@@ -46,12 +57,8 @@ class InstalledAppWorkflowRunApi(InstalledAppResource):
         if app_mode != AppMode.WORKFLOW:
             raise NotWorkflowAppError()
 
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("inputs", type=dict, required=True, nullable=False, location="json")
-            .add_argument("files", type=list, required=False, location="json")
-        )
-        args = parser.parse_args()
+        payload = WorkflowRunPayload.model_validate(console_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
         try:
             response = AppGenerateService.generate(
                 app_model=app_model, user=current_user, args=args, invoke_from=InvokeFrom.EXPLORE, streaming=True

api/controllers/inner_api/mail.py

@@ -1,29 +1,38 @@
-from flask_restx import Resource, reqparse
+from typing import Any
 
+from flask_restx import Resource
+from pydantic import BaseModel, Field
+
+from controllers.common.schema import register_schema_model
 from controllers.console.wraps import setup_required
 from controllers.inner_api import inner_api_ns
 from controllers.inner_api.wraps import billing_inner_api_only, enterprise_inner_api_only
 from tasks.mail_inner_task import send_inner_email_task
 
-_mail_parser = (
-    reqparse.RequestParser()
-    .add_argument("to", type=str, action="append", required=True)
-    .add_argument("subject", type=str, required=True)
-    .add_argument("body", type=str, required=True)
-    .add_argument("substitutions", type=dict, required=False)
-)
+
+class InnerMailPayload(BaseModel):
+    to: list[str] = Field(description="Recipient email addresses", min_length=1)
+    subject: str
+    body: str
+    substitutions: dict[str, Any] | None = None
+
+
+register_schema_model(inner_api_ns, InnerMailPayload)
 
 
 class BaseMail(Resource):
     """Shared logic for sending an inner email."""
 
+    @inner_api_ns.doc("send_inner_mail")
+    @inner_api_ns.doc(description="Send internal email")
+    @inner_api_ns.expect(inner_api_ns.models[InnerMailPayload.__name__])
     def post(self):
-        args = _mail_parser.parse_args()
-        send_inner_email_task.delay(  # type: ignore
-            to=args["to"],
-            subject=args["subject"],
-            body=args["body"],
-            substitutions=args["substitutions"],
+        args = InnerMailPayload.model_validate(inner_api_ns.payload or {})
+        send_inner_email_task.delay(
+            to=args.to,
+            subject=args.subject,
+            body=args.body,
+            substitutions=args.substitutions,  # type: ignore
         )
         return {"message": "success"}, 200
 
@@ -34,7 +43,7 @@ class EnterpriseMail(BaseMail):
 
     @inner_api_ns.doc("send_enterprise_mail")
     @inner_api_ns.doc(description="Send internal email for enterprise features")
-    @inner_api_ns.expect(_mail_parser)
+    @inner_api_ns.expect(inner_api_ns.models[InnerMailPayload.__name__])
     @inner_api_ns.doc(
         responses={200: "Email sent successfully", 401: "Unauthorized - invalid API key", 404: "Service not available"}
     )
@@ -56,7 +65,7 @@ class BillingMail(BaseMail):
 
     @inner_api_ns.doc("send_billing_mail")
     @inner_api_ns.doc(description="Send internal email for billing notifications")
-    @inner_api_ns.expect(_mail_parser)
+    @inner_api_ns.expect(inner_api_ns.models[InnerMailPayload.__name__])
     @inner_api_ns.doc(
         responses={200: "Email sent successfully", 401: "Unauthorized - invalid API key", 404: "Service not available"}
     )

api/controllers/inner_api/plugin/wraps.py

@@ -1,10 +1,9 @@
 from collections.abc import Callable
 from functools import wraps
-from typing import ParamSpec, TypeVar, cast
+from typing import ParamSpec, TypeVar
 
 from flask import current_app, request
 from flask_login import user_logged_in
-from flask_restx import reqparse
 from pydantic import BaseModel
 from sqlalchemy.orm import Session
 
@@ -17,6 +16,11 @@ P = ParamSpec("P")
 R = TypeVar("R")
 
 
+class TenantUserPayload(BaseModel):
+    tenant_id: str
+    user_id: str
+
+
 def get_user(tenant_id: str, user_id: str | None) -> EndUser:
     """
     Get current user
@@ -67,58 +71,45 @@ def get_user(tenant_id: str, user_id: str | None) -> EndUser:
     return user_model
 
 
-def get_user_tenant(view: Callable[P, R] | None = None):
-    def decorator(view_func: Callable[P, R]):
-        @wraps(view_func)
-        def decorated_view(*args: P.args, **kwargs: P.kwargs):
-            # fetch json body
-            parser = (
-                reqparse.RequestParser()
-                .add_argument("tenant_id", type=str, required=True, location="json")
-                .add_argument("user_id", type=str, required=True, location="json")
-            )
+def get_user_tenant(view_func: Callable[P, R]):
+    @wraps(view_func)
+    def decorated_view(*args: P.args, **kwargs: P.kwargs):
+        payload = TenantUserPayload.model_validate(request.get_json(silent=True) or {})
 
-            p = parser.parse_args()
+        user_id = payload.user_id
+        tenant_id = payload.tenant_id
 
-            user_id = cast(str, p.get("user_id"))
-            tenant_id = cast(str, p.get("tenant_id"))
+        if not tenant_id:
+            raise ValueError("tenant_id is required")
 
-            if not tenant_id:
-                raise ValueError("tenant_id is required")
+        if not user_id:
+            user_id = DefaultEndUserSessionID.DEFAULT_SESSION_ID
 
-            if not user_id:
-                user_id = DefaultEndUserSessionID.DEFAULT_SESSION_ID
-
-            try:
-                tenant_model = (
-                    db.session.query(Tenant)
-                    .where(
-                        Tenant.id == tenant_id,
-                    )
-                    .first()
+        try:
+            tenant_model = (
+                db.session.query(Tenant)
+                .where(
+                    Tenant.id == tenant_id,
                 )
-            except Exception:
-                raise ValueError("tenant not found")
+                .first()
+            )
+        except Exception:
+            raise ValueError("tenant not found")
 
-            if not tenant_model:
-                raise ValueError("tenant not found")
+        if not tenant_model:
+            raise ValueError("tenant not found")
 
-            kwargs["tenant_model"] = tenant_model
+        kwargs["tenant_model"] = tenant_model
 
-            user = get_user(tenant_id, user_id)
-            kwargs["user_model"] = user
+        user = get_user(tenant_id, user_id)
+        kwargs["user_model"] = user
 
-            current_app.login_manager._update_request_context_with_user(user)  # type: ignore
-            user_logged_in.send(current_app._get_current_object(), user=current_user)  # type: ignore
+        current_app.login_manager._update_request_context_with_user(user)  # type: ignore
+        user_logged_in.send(current_app._get_current_object(), user=current_user)  # type: ignore
 
-            return view_func(*args, **kwargs)
+        return view_func(*args, **kwargs)
 
-        return decorated_view
-
-    if view is None:
-        return decorator
-    else:
-        return decorator(view)
+    return decorated_view
 
 
 def plugin_data(view: Callable[P, R] | None = None, *, payload_type: type[BaseModel]):

api/controllers/inner_api/workspace/workspace.py

@@ -1,7 +1,9 @@
 import json
 
-from flask_restx import Resource, reqparse
+from flask_restx import Resource
+from pydantic import BaseModel
 
+from controllers.common.schema import register_schema_models
 from controllers.console.wraps import setup_required
 from controllers.inner_api import inner_api_ns
 from controllers.inner_api.wraps import enterprise_inner_api_only
@@ -11,12 +13,25 @@ from models import Account
 from services.account_service import TenantService
 
 
+class WorkspaceCreatePayload(BaseModel):
+    name: str
+    owner_email: str
+
+
+class WorkspaceOwnerlessPayload(BaseModel):
+    name: str
+
+
+register_schema_models(inner_api_ns, WorkspaceCreatePayload, WorkspaceOwnerlessPayload)
+
+
 @inner_api_ns.route("/enterprise/workspace")
 class EnterpriseWorkspace(Resource):
     @setup_required
     @enterprise_inner_api_only
     @inner_api_ns.doc("create_enterprise_workspace")
     @inner_api_ns.doc(description="Create a new enterprise workspace with owner assignment")
+    @inner_api_ns.expect(inner_api_ns.models[WorkspaceCreatePayload.__name__])
     @inner_api_ns.doc(
         responses={
             200: "Workspace created successfully",
@@ -25,18 +40,13 @@ class EnterpriseWorkspace(Resource):
         }
     )
     def post(self):
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("name", type=str, required=True, location="json")
-            .add_argument("owner_email", type=str, required=True, location="json")
-        )
-        args = parser.parse_args()
+        args = WorkspaceCreatePayload.model_validate(inner_api_ns.payload or {})
 
-        account = db.session.query(Account).filter_by(email=args["owner_email"]).first()
+        account = db.session.query(Account).filter_by(email=args.owner_email).first()
         if account is None:
             return {"message": "owner account not found."}, 404
 
-        tenant = TenantService.create_tenant(args["name"], is_from_dashboard=True)
+        tenant = TenantService.create_tenant(args.name, is_from_dashboard=True)
         TenantService.create_tenant_member(tenant, account, role="owner")
 
         tenant_was_created.send(tenant)
@@ -62,6 +72,7 @@ class EnterpriseWorkspaceNoOwnerEmail(Resource):
     @enterprise_inner_api_only
     @inner_api_ns.doc("create_enterprise_workspace_ownerless")
     @inner_api_ns.doc(description="Create a new enterprise workspace without initial owner assignment")
+    @inner_api_ns.expect(inner_api_ns.models[WorkspaceOwnerlessPayload.__name__])
     @inner_api_ns.doc(
         responses={
             200: "Workspace created successfully",
@@ -70,10 +81,9 @@ class EnterpriseWorkspaceNoOwnerEmail(Resource):
         }
     )
     def post(self):
-        parser = reqparse.RequestParser().add_argument("name", type=str, required=True, location="json")
-        args = parser.parse_args()
+        args = WorkspaceOwnerlessPayload.model_validate(inner_api_ns.payload or {})
 
-        tenant = TenantService.create_tenant(args["name"], is_from_dashboard=True)
+        tenant = TenantService.create_tenant(args.name, is_from_dashboard=True)
 
         tenant_was_created.send(tenant)
 

api/controllers/mcp/mcp.py

@@ -1,10 +1,11 @@
-from typing import Union
+from typing import Any, Union
 
 from flask import Response
-from flask_restx import Resource, reqparse
-from pydantic import ValidationError
+from flask_restx import Resource
+from pydantic import BaseModel, Field, ValidationError
 from sqlalchemy.orm import Session
 
+from controllers.common.schema import register_schema_model
 from controllers.console.app.mcp_server import AppMCPServerStatus
 from controllers.mcp import mcp_ns
 from core.app.app_config.entities import VariableEntity
@@ -24,27 +25,19 @@ class MCPRequestError(Exception):
         super().__init__(message)
 
 
-def int_or_str(value):
-    """Validate that a value is either an integer or string."""
-    if isinstance(value, (int, str)):
-        return value
-    else:
-        return None
+class MCPRequestPayload(BaseModel):
+    jsonrpc: str = Field(description="JSON-RPC version (should be '2.0')")
+    method: str = Field(description="The method to invoke")
+    params: dict[str, Any] | None = Field(default=None, description="Parameters for the method")
+    id: int | str | None = Field(default=None, description="Request ID for tracking responses")
 
 
-# Define parser for both documentation and validation
-mcp_request_parser = (
-    reqparse.RequestParser()
-    .add_argument("jsonrpc", type=str, required=True, location="json", help="JSON-RPC version (should be '2.0')")
-    .add_argument("method", type=str, required=True, location="json", help="The method to invoke")
-    .add_argument("params", type=dict, required=False, location="json", help="Parameters for the method")
-    .add_argument("id", type=int_or_str, required=False, location="json", help="Request ID for tracking responses")
-)
+register_schema_model(mcp_ns, MCPRequestPayload)
 
 
 @mcp_ns.route("/server/<string:server_code>/mcp")
 class MCPAppApi(Resource):
-    @mcp_ns.expect(mcp_request_parser)
+    @mcp_ns.expect(mcp_ns.models[MCPRequestPayload.__name__])
     @mcp_ns.doc("handle_mcp_request")
     @mcp_ns.doc(description="Handle Model Context Protocol (MCP) requests for a specific server")
     @mcp_ns.doc(params={"server_code": "Unique identifier for the MCP server"})
@@ -70,9 +63,9 @@ class MCPAppApi(Resource):
         Raises:
             ValidationError: Invalid request format or parameters
         """
-        args = mcp_request_parser.parse_args()
-        request_id: Union[int, str] | None = args.get("id")
-        mcp_request = self._parse_mcp_request(args)
+        args = MCPRequestPayload.model_validate(mcp_ns.payload or {})
+        request_id: Union[int, str] | None = args.id
+        mcp_request = self._parse_mcp_request(args.model_dump(exclude_none=True))
 
         with Session(db.engine, expire_on_commit=False) as session:
             # Get MCP server and app

api/controllers/service_api/app/annotation.py

@@ -1,9 +1,11 @@
 from typing import Literal
 
 from flask import request
-from flask_restx import Api, Namespace, Resource, fields, reqparse
+from flask_restx import Api, Namespace, Resource, fields
 from flask_restx.api import HTTPStatus
+from pydantic import BaseModel, Field
 
+from controllers.common.schema import register_schema_models
 from controllers.console.wraps import edit_permission_required
 from controllers.service_api import service_api_ns
 from controllers.service_api.wraps import validate_app_token
@@ -12,26 +14,24 @@ from fields.annotation_fields import annotation_fields, build_annotation_model
 from models.model import App
 from services.annotation_service import AppAnnotationService
 
-# Define parsers for annotation API
-annotation_create_parser = (
-    reqparse.RequestParser()
-    .add_argument("question", required=True, type=str, location="json", help="Annotation question")
-    .add_argument("answer", required=True, type=str, location="json", help="Annotation answer")
-)
 
-annotation_reply_action_parser = (
-    reqparse.RequestParser()
-    .add_argument(
-        "score_threshold", required=True, type=float, location="json", help="Score threshold for annotation matching"
-    )
-    .add_argument("embedding_provider_name", required=True, type=str, location="json", help="Embedding provider name")
-    .add_argument("embedding_model_name", required=True, type=str, location="json", help="Embedding model name")
-)
+class AnnotationCreatePayload(BaseModel):
+    question: str = Field(description="Annotation question")
+    answer: str = Field(description="Annotation answer")
+
+
+class AnnotationReplyActionPayload(BaseModel):
+    score_threshold: float = Field(description="Score threshold for annotation matching")
+    embedding_provider_name: str = Field(description="Embedding provider name")
+    embedding_model_name: str = Field(description="Embedding model name")
+
+
+register_schema_models(service_api_ns, AnnotationCreatePayload, AnnotationReplyActionPayload)
 
 
 @service_api_ns.route("/apps/annotation-reply/<string:action>")
 class AnnotationReplyActionApi(Resource):
-    @service_api_ns.expect(annotation_reply_action_parser)
+    @service_api_ns.expect(service_api_ns.models[AnnotationReplyActionPayload.__name__])
     @service_api_ns.doc("annotation_reply_action")
     @service_api_ns.doc(description="Enable or disable annotation reply feature")
     @service_api_ns.doc(params={"action": "Action to perform: 'enable' or 'disable'"})
@@ -44,7 +44,7 @@ class AnnotationReplyActionApi(Resource):
     @validate_app_token
     def post(self, app_model: App, action: Literal["enable", "disable"]):
         """Enable or disable annotation reply feature."""
-        args = annotation_reply_action_parser.parse_args()
+        args = AnnotationReplyActionPayload.model_validate(service_api_ns.payload or {}).model_dump()
         if action == "enable":
             result = AppAnnotationService.enable_app_annotation(args, app_model.id)
         elif action == "disable":
@@ -126,7 +126,7 @@ class AnnotationListApi(Resource):
             "page": page,
         }
 
-    @service_api_ns.expect(annotation_create_parser)
+    @service_api_ns.expect(service_api_ns.models[AnnotationCreatePayload.__name__])
     @service_api_ns.doc("create_annotation")
     @service_api_ns.doc(description="Create a new annotation")
     @service_api_ns.doc(
@@ -139,14 +139,14 @@ class AnnotationListApi(Resource):
     @service_api_ns.marshal_with(build_annotation_model(service_api_ns), code=HTTPStatus.CREATED)
     def post(self, app_model: App):
         """Create a new annotation."""
-        args = annotation_create_parser.parse_args()
+        args = AnnotationCreatePayload.model_validate(service_api_ns.payload or {}).model_dump()
         annotation = AppAnnotationService.insert_app_annotation_directly(args, app_model.id)
         return annotation, 201
 
 
 @service_api_ns.route("/apps/annotations/<uuid:annotation_id>")
 class AnnotationUpdateDeleteApi(Resource):
-    @service_api_ns.expect(annotation_create_parser)
+    @service_api_ns.expect(service_api_ns.models[AnnotationCreatePayload.__name__])
     @service_api_ns.doc("update_annotation")
     @service_api_ns.doc(description="Update an existing annotation")
     @service_api_ns.doc(params={"annotation_id": "Annotation ID"})
@@ -163,7 +163,7 @@ class AnnotationUpdateDeleteApi(Resource):
     @service_api_ns.marshal_with(build_annotation_model(service_api_ns))
     def put(self, app_model: App, annotation_id: str):
         """Update an existing annotation."""
-        args = annotation_create_parser.parse_args()
+        args = AnnotationCreatePayload.model_validate(service_api_ns.payload or {}).model_dump()
         annotation = AppAnnotationService.update_app_annotation_directly(args, app_model.id, annotation_id)
         return annotation
 

api/controllers/service_api/app/audio.py

@@ -1,10 +1,12 @@
 import logging
 
 from flask import request
-from flask_restx import Resource, reqparse
+from flask_restx import Resource
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import InternalServerError
 
 import services
+from controllers.common.schema import register_schema_model
 from controllers.service_api import service_api_ns
 from controllers.service_api.app.error import (
     AppUnavailableError,
@@ -84,19 +86,19 @@ class AudioApi(Resource):
             raise InternalServerError()
 
 
-# Define parser for text-to-audio API
-text_to_audio_parser = (
-    reqparse.RequestParser()
-    .add_argument("message_id", type=str, required=False, location="json", help="Message ID")
-    .add_argument("voice", type=str, location="json", help="Voice to use for TTS")
-    .add_argument("text", type=str, location="json", help="Text to convert to audio")
-    .add_argument("streaming", type=bool, location="json", help="Enable streaming response")
-)
+class TextToAudioPayload(BaseModel):
+    message_id: str | None = Field(default=None, description="Message ID")
+    voice: str | None = Field(default=None, description="Voice to use for TTS")
+    text: str | None = Field(default=None, description="Text to convert to audio")
+    streaming: bool | None = Field(default=None, description="Enable streaming response")
+
+
+register_schema_model(service_api_ns, TextToAudioPayload)
 
 
 @service_api_ns.route("/text-to-audio")
 class TextApi(Resource):
-    @service_api_ns.expect(text_to_audio_parser)
+    @service_api_ns.expect(service_api_ns.models[TextToAudioPayload.__name__])
     @service_api_ns.doc("text_to_audio")
     @service_api_ns.doc(description="Convert text to audio using text-to-speech")
     @service_api_ns.doc(
@@ -114,11 +116,11 @@ class TextApi(Resource):
         Converts the provided text to audio using the specified voice.
         """
         try:
-            args = text_to_audio_parser.parse_args()
+            payload = TextToAudioPayload.model_validate(service_api_ns.payload or {})
 
-            message_id = args.get("message_id", None)
-            text = args.get("text", None)
-            voice = args.get("voice", None)
+            message_id = payload.message_id
+            text = payload.text
+            voice = payload.voice
             response = AudioService.transcript_tts(
                 app_model=app_model, text=text, voice=voice, end_user=end_user.external_user_id, message_id=message_id
             )

api/controllers/service_api/app/completion.py

@@ -1,10 +1,14 @@
 import logging
+from typing import Any, Literal
+from uuid import UUID
 
 from flask import request
-from flask_restx import Resource, reqparse
+from flask_restx import Resource
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import BadRequest, InternalServerError, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.service_api import service_api_ns
 from controllers.service_api.app.error import (
     AppUnavailableError,
@@ -26,7 +30,6 @@ from core.errors.error import (
 from core.helper.trace_id_helper import get_external_trace_id
 from core.model_runtime.errors.invoke import InvokeError
 from libs import helper
-from libs.helper import uuid_value
 from models.model import App, AppMode, EndUser
 from services.app_generate_service import AppGenerateService
 from services.app_task_service import AppTaskService
@@ -36,40 +39,31 @@ from services.errors.llm import InvokeRateLimitError
 logger = logging.getLogger(__name__)
 
 
-# Define parser for completion API
-completion_parser = (
-    reqparse.RequestParser()
-    .add_argument("inputs", type=dict, required=True, location="json", help="Input parameters for completion")
-    .add_argument("query", type=str, location="json", default="", help="The query string")
-    .add_argument("files", type=list, required=False, location="json", help="List of file attachments")
-    .add_argument("response_mode", type=str, choices=["blocking", "streaming"], location="json", help="Response mode")
-    .add_argument("retriever_from", type=str, required=False, default="dev", location="json", help="Retriever source")
-)
+class CompletionRequestPayload(BaseModel):
+    inputs: dict[str, Any]
+    query: str = Field(default="")
+    files: list[dict[str, Any]] | None = None
+    response_mode: Literal["blocking", "streaming"] | None = None
+    retriever_from: str = Field(default="dev")
 
-# Define parser for chat API
-chat_parser = (
-    reqparse.RequestParser()
-    .add_argument("inputs", type=dict, required=True, location="json", help="Input parameters for chat")
-    .add_argument("query", type=str, required=True, location="json", help="The chat query")
-    .add_argument("files", type=list, required=False, location="json", help="List of file attachments")
-    .add_argument("response_mode", type=str, choices=["blocking", "streaming"], location="json", help="Response mode")
-    .add_argument("conversation_id", type=uuid_value, location="json", help="Existing conversation ID")
-    .add_argument("retriever_from", type=str, required=False, default="dev", location="json", help="Retriever source")
-    .add_argument(
-        "auto_generate_name",
-        type=bool,
-        required=False,
-        default=True,
-        location="json",
-        help="Auto generate conversation name",
-    )
-    .add_argument("workflow_id", type=str, required=False, location="json", help="Workflow ID for advanced chat")
-)
+
+class ChatRequestPayload(BaseModel):
+    inputs: dict[str, Any]
+    query: str
+    files: list[dict[str, Any]] | None = None
+    response_mode: Literal["blocking", "streaming"] | None = None
+    conversation_id: UUID | None = None
+    retriever_from: str = Field(default="dev")
+    auto_generate_name: bool = Field(default=True, description="Auto generate conversation name")
+    workflow_id: str | None = Field(default=None, description="Workflow ID for advanced chat")
+
+
+register_schema_models(service_api_ns, CompletionRequestPayload, ChatRequestPayload)
 
 
 @service_api_ns.route("/completion-messages")
 class CompletionApi(Resource):
-    @service_api_ns.expect(completion_parser)
+    @service_api_ns.expect(service_api_ns.models[CompletionRequestPayload.__name__])
     @service_api_ns.doc("create_completion")
     @service_api_ns.doc(description="Create a completion for the given prompt")
     @service_api_ns.doc(
@@ -91,12 +85,13 @@ class CompletionApi(Resource):
         if app_model.mode != AppMode.COMPLETION:
             raise AppUnavailableError()
 
-        args = completion_parser.parse_args()
+        payload = CompletionRequestPayload.model_validate(service_api_ns.payload or {})
         external_trace_id = get_external_trace_id(request)
+        args = payload.model_dump(exclude_none=True)
         if external_trace_id:
             args["external_trace_id"] = external_trace_id
 
-        streaming = args["response_mode"] == "streaming"
+        streaming = payload.response_mode == "streaming"
 
         args["auto_generate_name"] = False
 
@@ -162,7 +157,7 @@ class CompletionStopApi(Resource):
 
 @service_api_ns.route("/chat-messages")
 class ChatApi(Resource):
-    @service_api_ns.expect(chat_parser)
+    @service_api_ns.expect(service_api_ns.models[ChatRequestPayload.__name__])
     @service_api_ns.doc("create_chat_message")
     @service_api_ns.doc(description="Send a message in a chat conversation")
     @service_api_ns.doc(
@@ -186,13 +181,14 @@ class ChatApi(Resource):
         if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
             raise NotChatAppError()
 
-        args = chat_parser.parse_args()
+        payload = ChatRequestPayload.model_validate(service_api_ns.payload or {})
 
         external_trace_id = get_external_trace_id(request)
+        args = payload.model_dump(exclude_none=True)
         if external_trace_id:
             args["external_trace_id"] = external_trace_id
 
-        streaming = args["response_mode"] == "streaming"
+        streaming = payload.response_mode == "streaming"
 
         try:
             response = AppGenerateService.generate(

api/controllers/service_api/app/conversation.py

@@ -1,10 +1,15 @@
-from flask_restx import Resource, reqparse
+from typing import Any, Literal
+from uuid import UUID
+
+from flask import request
+from flask_restx import Resource
 from flask_restx._http import HTTPStatus
-from flask_restx.inputs import int_range
+from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
 from werkzeug.exceptions import BadRequest, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.service_api import service_api_ns
 from controllers.service_api.app.error import NotChatAppError
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
@@ -19,74 +24,44 @@ from fields.conversation_variable_fields import (
     build_conversation_variable_infinite_scroll_pagination_model,
     build_conversation_variable_model,
 )
-from libs.helper import uuid_value
 from models.model import App, AppMode, EndUser
 from services.conversation_service import ConversationService
 
-# Define parsers for conversation APIs
-conversation_list_parser = (
-    reqparse.RequestParser()
-    .add_argument("last_id", type=uuid_value, location="args", help="Last conversation ID for pagination")
-    .add_argument(
-        "limit",
-        type=int_range(1, 100),
-        required=False,
-        default=20,
-        location="args",
-        help="Number of conversations to return",
-    )
-    .add_argument(
-        "sort_by",
-        type=str,
-        choices=["created_at", "-created_at", "updated_at", "-updated_at"],
-        required=False,
-        default="-updated_at",
-        location="args",
-        help="Sort order for conversations",
-    )
-)
 
-conversation_rename_parser = (
-    reqparse.RequestParser()
-    .add_argument("name", type=str, required=False, location="json", help="New conversation name")
-    .add_argument(
-        "auto_generate",
-        type=bool,
-        required=False,
-        default=False,
-        location="json",
-        help="Auto-generate conversation name",
+class ConversationListQuery(BaseModel):
+    last_id: UUID | None = Field(default=None, description="Last conversation ID for pagination")
+    limit: int = Field(default=20, ge=1, le=100, description="Number of conversations to return")
+    sort_by: Literal["created_at", "-created_at", "updated_at", "-updated_at"] = Field(
+        default="-updated_at", description="Sort order for conversations"
     )
-)
 
-conversation_variables_parser = (
-    reqparse.RequestParser()
-    .add_argument("last_id", type=uuid_value, location="args", help="Last variable ID for pagination")
-    .add_argument(
-        "limit",
-        type=int_range(1, 100),
-        required=False,
-        default=20,
-        location="args",
-        help="Number of variables to return",
-    )
-)
 
-conversation_variable_update_parser = reqparse.RequestParser().add_argument(
-    # using lambda is for passing the already-typed value without modification
-    # if no lambda, it will be converted to string
-    # the string cannot be converted using json.loads
-    "value",
-    required=True,
-    location="json",
-    type=lambda x: x,
-    help="New value for the conversation variable",
+class ConversationRenamePayload(BaseModel):
+    name: str = Field(description="New conversation name")
+    auto_generate: bool = Field(default=False, description="Auto-generate conversation name")
+
+
+class ConversationVariablesQuery(BaseModel):
+    last_id: UUID | None = Field(default=None, description="Last variable ID for pagination")
+    limit: int = Field(default=20, ge=1, le=100, description="Number of variables to return")
+
+
+class ConversationVariableUpdatePayload(BaseModel):
+    value: Any
+
+
+register_schema_models(
+    service_api_ns,
+    ConversationListQuery,
+    ConversationRenamePayload,
+    ConversationVariablesQuery,
+    ConversationVariableUpdatePayload,
 )
 
 
 @service_api_ns.route("/conversations")
 class ConversationApi(Resource):
-    @service_api_ns.expect(conversation_list_parser)
+    @service_api_ns.expect(service_api_ns.models[ConversationListQuery.__name__])
     @service_api_ns.doc("list_conversations")
     @service_api_ns.doc(description="List all conversations for the current user")
     @service_api_ns.doc(
@@ -107,7 +82,8 @@ class ConversationApi(Resource):
         if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
             raise NotChatAppError()
 
-        args = conversation_list_parser.parse_args()
+        query_args = ConversationListQuery.model_validate(request.args.to_dict())
+        last_id = str(query_args.last_id) if query_args.last_id else None
 
         try:
             with Session(db.engine) as session:
@@ -115,10 +91,10 @@ class ConversationApi(Resource):
                     session=session,
                     app_model=app_model,
                     user=end_user,
-                    last_id=args["last_id"],
-                    limit=args["limit"],
+                    last_id=last_id,
+                    limit=query_args.limit,
                     invoke_from=InvokeFrom.SERVICE_API,
-                    sort_by=args["sort_by"],
+                    sort_by=query_args.sort_by,
                 )
         except services.errors.conversation.LastConversationNotExistsError:
             raise NotFound("Last Conversation Not Exists.")
@@ -155,7 +131,7 @@ class ConversationDetailApi(Resource):
 
 @service_api_ns.route("/conversations/<uuid:c_id>/name")
 class ConversationRenameApi(Resource):
-    @service_api_ns.expect(conversation_rename_parser)
+    @service_api_ns.expect(service_api_ns.models[ConversationRenamePayload.__name__])
     @service_api_ns.doc("rename_conversation")
     @service_api_ns.doc(description="Rename a conversation or auto-generate a name")
     @service_api_ns.doc(params={"c_id": "Conversation ID"})
@@ -176,17 +152,17 @@ class ConversationRenameApi(Resource):
 
         conversation_id = str(c_id)
 
-        args = conversation_rename_parser.parse_args()
+        payload = ConversationRenamePayload.model_validate(service_api_ns.payload or {})
 
         try:
-            return ConversationService.rename(app_model, conversation_id, end_user, args["name"], args["auto_generate"])
+            return ConversationService.rename(app_model, conversation_id, end_user, payload.name, payload.auto_generate)
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
 
 
 @service_api_ns.route("/conversations/<uuid:c_id>/variables")
 class ConversationVariablesApi(Resource):
-    @service_api_ns.expect(conversation_variables_parser)
+    @service_api_ns.expect(service_api_ns.models[ConversationVariablesQuery.__name__])
     @service_api_ns.doc("list_conversation_variables")
     @service_api_ns.doc(description="List all variables for a conversation")
     @service_api_ns.doc(params={"c_id": "Conversation ID"})
@@ -211,11 +187,12 @@ class ConversationVariablesApi(Resource):
 
         conversation_id = str(c_id)
 
-        args = conversation_variables_parser.parse_args()
+        query_args = ConversationVariablesQuery.model_validate(request.args.to_dict())
+        last_id = str(query_args.last_id) if query_args.last_id else None
 
         try:
             return ConversationService.get_conversational_variable(
-                app_model, conversation_id, end_user, args["limit"], args["last_id"]
+                app_model, conversation_id, end_user, query_args.limit, last_id
             )
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
@@ -223,7 +200,7 @@ class ConversationVariablesApi(Resource):
 
 @service_api_ns.route("/conversations/<uuid:c_id>/variables/<uuid:variable_id>")
 class ConversationVariableDetailApi(Resource):
-    @service_api_ns.expect(conversation_variable_update_parser)
+    @service_api_ns.expect(service_api_ns.models[ConversationVariableUpdatePayload.__name__])
     @service_api_ns.doc("update_conversation_variable")
     @service_api_ns.doc(description="Update a conversation variable's value")
     @service_api_ns.doc(params={"c_id": "Conversation ID", "variable_id": "Variable ID"})
@@ -250,11 +227,11 @@ class ConversationVariableDetailApi(Resource):
         conversation_id = str(c_id)
         variable_id = str(variable_id)
 
-        args = conversation_variable_update_parser.parse_args()
+        payload = ConversationVariableUpdatePayload.model_validate(service_api_ns.payload or {})
 
         try:
             return ConversationService.update_conversation_variable(
-                app_model, conversation_id, variable_id, end_user, args["value"]
+                app_model, conversation_id, variable_id, end_user, payload.value
             )
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")

api/controllers/service_api/app/file_preview.py

@@ -1,9 +1,11 @@
 import logging
 from urllib.parse import quote
 
-from flask import Response
-from flask_restx import Resource, reqparse
+from flask import Response, request
+from flask_restx import Resource
+from pydantic import BaseModel, Field
 
+from controllers.common.schema import register_schema_model
 from controllers.service_api import service_api_ns
 from controllers.service_api.app.error import (
     FileAccessDeniedError,
@@ -17,10 +19,11 @@ from models.model import App, EndUser, Message, MessageFile, UploadFile
 logger = logging.getLogger(__name__)
 
 
-# Define parser for file preview API
-file_preview_parser = reqparse.RequestParser().add_argument(
-    "as_attachment", type=bool, required=False, default=False, location="args", help="Download as attachment"
-)
+class FilePreviewQuery(BaseModel):
+    as_attachment: bool = Field(default=False, description="Download as attachment")
+
+
+register_schema_model(service_api_ns, FilePreviewQuery)
 
 
 @service_api_ns.route("/files/<uuid:file_id>/preview")
@@ -32,7 +35,7 @@ class FilePreviewApi(Resource):
     Files can only be accessed if they belong to messages within the requesting app's context.
     """
 
-    @service_api_ns.expect(file_preview_parser)
+    @service_api_ns.expect(service_api_ns.models[FilePreviewQuery.__name__])
     @service_api_ns.doc("preview_file")
     @service_api_ns.doc(description="Preview or download a file uploaded via Service API")
     @service_api_ns.doc(params={"file_id": "UUID of the file to preview"})
@@ -55,7 +58,7 @@ class FilePreviewApi(Resource):
         file_id = str(file_id)
 
         # Parse query parameters
-        args = file_preview_parser.parse_args()
+        args = FilePreviewQuery.model_validate(request.args.to_dict())
 
         # Validate file ownership and get file objects
         _, upload_file = self._validate_file_ownership(file_id, app_model.id)
@@ -67,7 +70,7 @@ class FilePreviewApi(Resource):
             raise FileNotFoundError(f"Failed to load file content: {str(e)}")
 
         # Build response with appropriate headers
-        response = self._build_file_response(generator, upload_file, args["as_attachment"])
+        response = self._build_file_response(generator, upload_file, args.as_attachment)
 
         return response
 

api/controllers/service_api/app/message.py

@@ -1,11 +1,15 @@
 import json
 import logging
+from typing import Literal
+from uuid import UUID
 
-from flask_restx import Api, Namespace, Resource, fields, reqparse
-from flask_restx.inputs import int_range
+from flask import request
+from flask_restx import Namespace, Resource, fields
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import BadRequest, InternalServerError, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.service_api import service_api_ns
 from controllers.service_api.app.error import NotChatAppError
 from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
@@ -13,7 +17,7 @@ from core.app.entities.app_invoke_entities import InvokeFrom
 from fields.conversation_fields import build_message_file_model
 from fields.message_fields import build_agent_thought_model, build_feedback_model
 from fields.raws import FilesContainedField
-from libs.helper import TimestampField, uuid_value
+from libs.helper import TimestampField
 from models.model import App, AppMode, EndUser
 from services.errors.message import (
     FirstMessageNotExistsError,
@@ -25,42 +29,26 @@ from services.message_service import MessageService
 logger = logging.getLogger(__name__)
 
 
-# Define parsers for message APIs
-message_list_parser = (
-    reqparse.RequestParser()
-    .add_argument("conversation_id", required=True, type=uuid_value, location="args", help="Conversation ID")
-    .add_argument("first_id", type=uuid_value, location="args", help="First message ID for pagination")
-    .add_argument(
-        "limit",
-        type=int_range(1, 100),
-        required=False,
-        default=20,
-        location="args",
-        help="Number of messages to return",
-    )
-)
-
-message_feedback_parser = (
-    reqparse.RequestParser()
-    .add_argument("rating", type=str, choices=["like", "dislike", None], location="json", help="Feedback rating")
-    .add_argument("content", type=str, location="json", help="Feedback content")
-)
-
-feedback_list_parser = (
-    reqparse.RequestParser()
-    .add_argument("page", type=int, default=1, location="args", help="Page number")
-    .add_argument(
-        "limit",
-        type=int_range(1, 101),
-        required=False,
-        default=20,
-        location="args",
-        help="Number of feedbacks per page",
-    )
-)
+class MessageListQuery(BaseModel):
+    conversation_id: UUID
+    first_id: UUID | None = None
+    limit: int = Field(default=20, ge=1, le=100, description="Number of messages to return")
 
 
-def build_message_model(api_or_ns: Api | Namespace):
+class MessageFeedbackPayload(BaseModel):
+    rating: Literal["like", "dislike"] | None = Field(default=None, description="Feedback rating")
+    content: str | None = Field(default=None, description="Feedback content")
+
+
+class FeedbackListQuery(BaseModel):
+    page: int = Field(default=1, ge=1, description="Page number")
+    limit: int = Field(default=20, ge=1, le=101, description="Number of feedbacks per page")
+
+
+register_schema_models(service_api_ns, MessageListQuery, MessageFeedbackPayload, FeedbackListQuery)
+
+
+def build_message_model(api_or_ns: Namespace):
     """Build the message model for the API or Namespace."""
     # First build the nested models
     feedback_model = build_feedback_model(api_or_ns)
@@ -90,7 +78,7 @@ def build_message_model(api_or_ns: Api | Namespace):
     return api_or_ns.model("Message", message_fields)
 
 
-def build_message_infinite_scroll_pagination_model(api_or_ns: Api | Namespace):
+def build_message_infinite_scroll_pagination_model(api_or_ns: Namespace):
     """Build the message infinite scroll pagination model for the API or Namespace."""
     # Build the nested message model first
     message_model = build_message_model(api_or_ns)
@@ -105,7 +93,7 @@ def build_message_infinite_scroll_pagination_model(api_or_ns: Api | Namespace):
 
 @service_api_ns.route("/messages")
 class MessageListApi(Resource):
-    @service_api_ns.expect(message_list_parser)
+    @service_api_ns.expect(service_api_ns.models[MessageListQuery.__name__])
     @service_api_ns.doc("list_messages")
     @service_api_ns.doc(description="List messages in a conversation")
     @service_api_ns.doc(
@@ -126,11 +114,13 @@ class MessageListApi(Resource):
         if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
             raise NotChatAppError()
 
-        args = message_list_parser.parse_args()
+        query_args = MessageListQuery.model_validate(request.args.to_dict())
+        conversation_id = str(query_args.conversation_id)
+        first_id = str(query_args.first_id) if query_args.first_id else None
 
         try:
             return MessageService.pagination_by_first_id(
-                app_model, end_user, args["conversation_id"], args["first_id"], args["limit"]
+                app_model, end_user, conversation_id, first_id, query_args.limit
             )
         except services.errors.conversation.ConversationNotExistsError:
             raise NotFound("Conversation Not Exists.")
@@ -140,7 +130,7 @@ class MessageListApi(Resource):
 
 @service_api_ns.route("/messages/<uuid:message_id>/feedbacks")
 class MessageFeedbackApi(Resource):
-    @service_api_ns.expect(message_feedback_parser)
+    @service_api_ns.expect(service_api_ns.models[MessageFeedbackPayload.__name__])
     @service_api_ns.doc("create_message_feedback")
     @service_api_ns.doc(description="Submit feedback for a message")
     @service_api_ns.doc(params={"message_id": "Message ID"})
@@ -159,15 +149,15 @@ class MessageFeedbackApi(Resource):
         """
         message_id = str(message_id)
 
-        args = message_feedback_parser.parse_args()
+        payload = MessageFeedbackPayload.model_validate(service_api_ns.payload or {})
 
         try:
             MessageService.create_feedback(
                 app_model=app_model,
                 message_id=message_id,
                 user=end_user,
-                rating=args.get("rating"),
-                content=args.get("content"),
+                rating=payload.rating,
+                content=payload.content,
             )
         except MessageNotExistsError:
             raise NotFound("Message Not Exists.")
@@ -177,7 +167,7 @@ class MessageFeedbackApi(Resource):
 
 @service_api_ns.route("/app/feedbacks")
 class AppGetFeedbacksApi(Resource):
-    @service_api_ns.expect(feedback_list_parser)
+    @service_api_ns.expect(service_api_ns.models[FeedbackListQuery.__name__])
     @service_api_ns.doc("get_app_feedbacks")
     @service_api_ns.doc(description="Get all feedbacks for the application")
     @service_api_ns.doc(
@@ -192,8 +182,8 @@ class AppGetFeedbacksApi(Resource):
 
         Returns paginated list of all feedback submitted for messages in this app.
         """
-        args = feedback_list_parser.parse_args()
-        feedbacks = MessageService.get_all_messages_feedbacks(app_model, page=args["page"], limit=args["limit"])
+        query_args = FeedbackListQuery.model_validate(request.args.to_dict())
+        feedbacks = MessageService.get_all_messages_feedbacks(app_model, page=query_args.page, limit=query_args.limit)
         return {"data": feedbacks}
 
 

api/controllers/service_api/app/workflow.py

@@ -1,12 +1,14 @@
 import logging
+from typing import Any, Literal
 
 from dateutil.parser import isoparse
 from flask import request
-from flask_restx import Api, Namespace, Resource, fields, reqparse
-from flask_restx.inputs import int_range
+from flask_restx import Api, Namespace, Resource, fields
+from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session, sessionmaker
 from werkzeug.exceptions import BadRequest, InternalServerError, NotFound
 
+from controllers.common.schema import register_schema_models
 from controllers.service_api import service_api_ns
 from controllers.service_api.app.error import (
     CompletionRequestError,
@@ -41,37 +43,25 @@ from services.workflow_app_service import WorkflowAppService
 
 logger = logging.getLogger(__name__)
 
-# Define parsers for workflow APIs
-workflow_run_parser = (
-    reqparse.RequestParser()
-    .add_argument("inputs", type=dict, required=True, nullable=False, location="json")
-    .add_argument("files", type=list, required=False, location="json")
-    .add_argument("response_mode", type=str, choices=["blocking", "streaming"], location="json")
-)
 
-workflow_log_parser = (
-    reqparse.RequestParser()
-    .add_argument("keyword", type=str, location="args")
-    .add_argument("status", type=str, choices=["succeeded", "failed", "stopped"], location="args")
-    .add_argument("created_at__before", type=str, location="args")
-    .add_argument("created_at__after", type=str, location="args")
-    .add_argument(
-        "created_by_end_user_session_id",
-        type=str,
-        location="args",
-        required=False,
-        default=None,
-    )
-    .add_argument(
-        "created_by_account",
-        type=str,
-        location="args",
-        required=False,
-        default=None,
-    )
-    .add_argument("page", type=int_range(1, 99999), default=1, location="args")
-    .add_argument("limit", type=int_range(1, 100), default=20, location="args")
-)
+class WorkflowRunPayload(BaseModel):
+    inputs: dict[str, Any]
+    files: list[dict[str, Any]] | None = None
+    response_mode: Literal["blocking", "streaming"] | None = None
+
+
+class WorkflowLogQuery(BaseModel):
+    keyword: str | None = None
+    status: Literal["succeeded", "failed", "stopped"] | None = None
+    created_at__before: str | None = None
+    created_at__after: str | None = None
+    created_by_end_user_session_id: str | None = None
+    created_by_account: str | None = None
+    page: int = Field(default=1, ge=1, le=99999)
+    limit: int = Field(default=20, ge=1, le=100)
+
+
+register_schema_models(service_api_ns, WorkflowRunPayload, WorkflowLogQuery)
 
 workflow_run_fields = {
     "id": fields.String,
@@ -130,7 +120,7 @@ class WorkflowRunDetailApi(Resource):
 
 @service_api_ns.route("/workflows/run")
 class WorkflowRunApi(Resource):
-    @service_api_ns.expect(workflow_run_parser)
+    @service_api_ns.expect(service_api_ns.models[WorkflowRunPayload.__name__])
     @service_api_ns.doc("run_workflow")
     @service_api_ns.doc(description="Execute a workflow")
     @service_api_ns.doc(
@@ -154,11 +144,12 @@ class WorkflowRunApi(Resource):
         if app_mode != AppMode.WORKFLOW:
             raise NotWorkflowAppError()
 
-        args = workflow_run_parser.parse_args()
+        payload = WorkflowRunPayload.model_validate(service_api_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
         external_trace_id = get_external_trace_id(request)
         if external_trace_id:
             args["external_trace_id"] = external_trace_id
-        streaming = args.get("response_mode") == "streaming"
+        streaming = payload.response_mode == "streaming"
 
         try:
             response = AppGenerateService.generate(
@@ -185,7 +176,7 @@ class WorkflowRunApi(Resource):
 
 @service_api_ns.route("/workflows/<string:workflow_id>/run")
 class WorkflowRunByIdApi(Resource):
-    @service_api_ns.expect(workflow_run_parser)
+    @service_api_ns.expect(service_api_ns.models[WorkflowRunPayload.__name__])
     @service_api_ns.doc("run_workflow_by_id")
     @service_api_ns.doc(description="Execute a specific workflow by ID")
     @service_api_ns.doc(params={"workflow_id": "Workflow ID to execute"})
@@ -209,7 +200,8 @@ class WorkflowRunByIdApi(Resource):
         if app_mode != AppMode.WORKFLOW:
             raise NotWorkflowAppError()
 
-        args = workflow_run_parser.parse_args()
+        payload = WorkflowRunPayload.model_validate(service_api_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
 
         # Add workflow_id to args for AppGenerateService
         args["workflow_id"] = workflow_id
@@ -217,7 +209,7 @@ class WorkflowRunByIdApi(Resource):
         external_trace_id = get_external_trace_id(request)
         if external_trace_id:
             args["external_trace_id"] = external_trace_id
-        streaming = args.get("response_mode") == "streaming"
+        streaming = payload.response_mode == "streaming"
 
         try:
             response = AppGenerateService.generate(
@@ -279,7 +271,7 @@ class WorkflowTaskStopApi(Resource):
 
 @service_api_ns.route("/workflows/logs")
 class WorkflowAppLogApi(Resource):
-    @service_api_ns.expect(workflow_log_parser)
+    @service_api_ns.expect(service_api_ns.models[WorkflowLogQuery.__name__])
     @service_api_ns.doc("get_workflow_logs")
     @service_api_ns.doc(description="Get workflow execution logs")
     @service_api_ns.doc(
@@ -295,14 +287,11 @@ class WorkflowAppLogApi(Resource):
 
         Returns paginated workflow execution logs with filtering options.
         """
-        args = workflow_log_parser.parse_args()
+        args = WorkflowLogQuery.model_validate(request.args.to_dict())
 
-        args.status = WorkflowExecutionStatus(args.status) if args.status else None
-        if args.created_at__before:
-            args.created_at__before = isoparse(args.created_at__before)
-
-        if args.created_at__after:
-            args.created_at__after = isoparse(args.created_at__after)
+        status = WorkflowExecutionStatus(args.status) if args.status else None
+        created_at_before = isoparse(args.created_at__before) if args.created_at__before else None
+        created_at_after = isoparse(args.created_at__after) if args.created_at__after else None
 
         # get paginate workflow app logs
         workflow_app_service = WorkflowAppService()
@@ -311,9 +300,9 @@ class WorkflowAppLogApi(Resource):
                 session=session,
                 app_model=app_model,
                 keyword=args.keyword,
-                status=args.status,
-                created_at_before=args.created_at__before,
-                created_at_after=args.created_at__after,
+                status=status,
+                created_at_before=created_at_before,
+                created_at_after=created_at_after,
                 page=args.page,
                 limit=args.limit,
                 created_by_end_user_session_id=args.created_by_end_user_session_id,

api/controllers/service_api/dataset/dataset.py

@@ -1,10 +1,12 @@
 from typing import Any, Literal, cast
 
 from flask import request
-from flask_restx import marshal, reqparse
+from flask_restx import marshal
+from pydantic import BaseModel, Field, field_validator
 from werkzeug.exceptions import Forbidden, NotFound
 
 import services
+from controllers.common.schema import register_schema_models
 from controllers.console.wraps import edit_permission_required
 from controllers.service_api import service_api_ns
 from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError, InvalidActionError
@@ -18,173 +20,83 @@ from core.provider_manager import ProviderManager
 from fields.dataset_fields import dataset_detail_fields
 from fields.tag_fields import build_dataset_tag_fields
 from libs.login import current_user
-from libs.validators import validate_description_length
 from models.account import Account
-from models.dataset import Dataset, DatasetPermissionEnum
+from models.dataset import DatasetPermissionEnum
 from models.provider_ids import ModelProviderID
 from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import RetrievalModel
 from services.tag_service import TagService
 
 
-def _validate_name(name):
-    if not name or len(name) < 1 or len(name) > 40:
-        raise ValueError("Name must be between 1 to 40 characters.")
-    return name
+class DatasetCreatePayload(BaseModel):
+    name: str = Field(..., min_length=1, max_length=40)
+    description: str = Field(default="", description="Dataset description (max 400 chars)", max_length=400)
+    indexing_technique: Literal["high_quality", "economy"] | None = None
+    permission: DatasetPermissionEnum | None = DatasetPermissionEnum.ONLY_ME
+    external_knowledge_api_id: str | None = None
+    provider: str = "vendor"
+    external_knowledge_id: str | None = None
+    retrieval_model: RetrievalModel | None = None
+    embedding_model: str | None = None
+    embedding_model_provider: str | None = None
 
 
-# Define parsers for dataset operations
-dataset_create_parser = (
-    reqparse.RequestParser()
-    .add_argument(
-        "name",
-        nullable=False,
-        required=True,
-        help="type is required. Name must be between 1 to 40 characters.",
-        type=_validate_name,
-    )
-    .add_argument(
-        "description",
-        type=validate_description_length,
-        nullable=True,
-        required=False,
-        default="",
-    )
-    .add_argument(
-        "indexing_technique",
-        type=str,
-        location="json",
-        choices=Dataset.INDEXING_TECHNIQUE_LIST,
-        help="Invalid indexing technique.",
-    )
-    .add_argument(
-        "permission",
-        type=str,
-        location="json",
-        choices=(DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM),
-        help="Invalid permission.",
-        required=False,
-        nullable=False,
-    )
-    .add_argument(
-        "external_knowledge_api_id",
-        type=str,
-        nullable=True,
-        required=False,
-        default="_validate_name",
-    )
-    .add_argument(
-        "provider",
-        type=str,
-        nullable=True,
-        required=False,
-        default="vendor",
-    )
-    .add_argument(
-        "external_knowledge_id",
-        type=str,
-        nullable=True,
-        required=False,
-    )
-    .add_argument("retrieval_model", type=dict, required=False, nullable=True, location="json")
-    .add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
-    .add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
-)
+class DatasetUpdatePayload(BaseModel):
+    name: str | None = Field(default=None, min_length=1, max_length=40)
+    description: str | None = Field(default=None, description="Dataset description (max 400 chars)", max_length=400)
+    indexing_technique: Literal["high_quality", "economy"] | None = None
+    permission: DatasetPermissionEnum | None = None
+    embedding_model: str | None = None
+    embedding_model_provider: str | None = None
+    retrieval_model: RetrievalModel | None = None
+    partial_member_list: list[str] | None = None
+    external_retrieval_model: dict[str, Any] | None = None
+    external_knowledge_id: str | None = None
+    external_knowledge_api_id: str | None = None
 
-dataset_update_parser = (
-    reqparse.RequestParser()
-    .add_argument(
-        "name",
-        nullable=False,
-        help="type is required. Name must be between 1 to 40 characters.",
-        type=_validate_name,
-    )
-    .add_argument("description", location="json", store_missing=False, type=validate_description_length)
-    .add_argument(
-        "indexing_technique",
-        type=str,
-        location="json",
-        choices=Dataset.INDEXING_TECHNIQUE_LIST,
-        nullable=True,
-        help="Invalid indexing technique.",
-    )
-    .add_argument(
-        "permission",
-        type=str,
-        location="json",
-        choices=(DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM, DatasetPermissionEnum.PARTIAL_TEAM),
-        help="Invalid permission.",
-    )
-    .add_argument("embedding_model", type=str, location="json", help="Invalid embedding model.")
-    .add_argument("embedding_model_provider", type=str, location="json", help="Invalid embedding model provider.")
-    .add_argument("retrieval_model", type=dict, location="json", help="Invalid retrieval model.")
-    .add_argument("partial_member_list", type=list, location="json", help="Invalid parent user list.")
-    .add_argument(
-        "external_retrieval_model",
-        type=dict,
-        required=False,
-        nullable=True,
-        location="json",
-        help="Invalid external retrieval model.",
-    )
-    .add_argument(
-        "external_knowledge_id",
-        type=str,
-        required=False,
-        nullable=True,
-        location="json",
-        help="Invalid external knowledge id.",
-    )
-    .add_argument(
-        "external_knowledge_api_id",
-        type=str,
-        required=False,
-        nullable=True,
-        location="json",
-        help="Invalid external knowledge api id.",
-    )
-)
 
-tag_create_parser = reqparse.RequestParser().add_argument(
-    "name",
-    nullable=False,
-    required=True,
-    help="Name must be between 1 to 50 characters.",
-    type=lambda x: x
-    if x and 1 <= len(x) <= 50
-    else (_ for _ in ()).throw(ValueError("Name must be between 1 to 50 characters.")),
-)
+class TagNamePayload(BaseModel):
+    name: str = Field(..., min_length=1, max_length=50)
 
-tag_update_parser = (
-    reqparse.RequestParser()
-    .add_argument(
-        "name",
-        nullable=False,
-        required=True,
-        help="Name must be between 1 to 50 characters.",
-        type=lambda x: x
-        if x and 1 <= len(x) <= 50
-        else (_ for _ in ()).throw(ValueError("Name must be between 1 to 50 characters.")),
-    )
-    .add_argument("tag_id", nullable=False, required=True, help="Id of a tag.", type=str)
-)
 
-tag_delete_parser = reqparse.RequestParser().add_argument(
-    "tag_id", nullable=False, required=True, help="Id of a tag.", type=str
-)
+class TagCreatePayload(TagNamePayload):
+    pass
 
-tag_binding_parser = (
-    reqparse.RequestParser()
-    .add_argument("tag_ids", type=list, nullable=False, required=True, location="json", help="Tag IDs is required.")
-    .add_argument(
-        "target_id", type=str, nullable=False, required=True, location="json", help="Target Dataset ID is required."
-    )
-)
 
-tag_unbinding_parser = (
-    reqparse.RequestParser()
-    .add_argument("tag_id", type=str, nullable=False, required=True, help="Tag ID is required.")
-    .add_argument("target_id", type=str, nullable=False, required=True, help="Target ID is required.")
+class TagUpdatePayload(TagNamePayload):
+    tag_id: str
+
+
+class TagDeletePayload(BaseModel):
+    tag_id: str
+
+
+class TagBindingPayload(BaseModel):
+    tag_ids: list[str]
+    target_id: str
+
+    @field_validator("tag_ids")
+    @classmethod
+    def validate_tag_ids(cls, value: list[str]) -> list[str]:
+        if not value:
+            raise ValueError("Tag IDs is required.")
+        return value
+
+
+class TagUnbindingPayload(BaseModel):
+    tag_id: str
+    target_id: str
+
+
+register_schema_models(
+    service_api_ns,
+    DatasetCreatePayload,
+    DatasetUpdatePayload,
+    TagCreatePayload,
+    TagUpdatePayload,
+    TagDeletePayload,
+    TagBindingPayload,
+    TagUnbindingPayload,
 )
 
 
@@ -239,7 +151,7 @@ class DatasetListApi(DatasetApiResource):
         response = {"data": data, "has_more": len(datasets) == limit, "limit": limit, "total": total, "page": page}
         return response, 200
 
-    @service_api_ns.expect(dataset_create_parser)
+    @service_api_ns.expect(service_api_ns.models[DatasetCreatePayload.__name__])
     @service_api_ns.doc("create_dataset")
     @service_api_ns.doc(description="Create a new dataset")
     @service_api_ns.doc(
@@ -252,42 +164,41 @@ class DatasetListApi(DatasetApiResource):
     @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
     def post(self, tenant_id):
         """Resource for creating datasets."""
-        args = dataset_create_parser.parse_args()
+        payload = DatasetCreatePayload.model_validate(service_api_ns.payload or {})
 
-        embedding_model_provider = args.get("embedding_model_provider")
-        embedding_model = args.get("embedding_model")
+        embedding_model_provider = payload.embedding_model_provider
+        embedding_model = payload.embedding_model
         if embedding_model_provider and embedding_model:
             DatasetService.check_embedding_model_setting(tenant_id, embedding_model_provider, embedding_model)
 
-        retrieval_model = args.get("retrieval_model")
+        retrieval_model = payload.retrieval_model
         if (
             retrieval_model
-            and retrieval_model.get("reranking_model")
-            and retrieval_model.get("reranking_model").get("reranking_provider_name")
+            and retrieval_model.reranking_model
+            and retrieval_model.reranking_model.reranking_provider_name
+            and retrieval_model.reranking_model.reranking_model_name
         ):
             DatasetService.check_reranking_model_setting(
                 tenant_id,
-                retrieval_model.get("reranking_model").get("reranking_provider_name"),
-                retrieval_model.get("reranking_model").get("reranking_model_name"),
+                retrieval_model.reranking_model.reranking_provider_name,
+                retrieval_model.reranking_model.reranking_model_name,
             )
 
         try:
             assert isinstance(current_user, Account)
             dataset = DatasetService.create_empty_dataset(
                 tenant_id=tenant_id,
-                name=args["name"],
-                description=args["description"],
-                indexing_technique=args["indexing_technique"],
+                name=payload.name,
+                description=payload.description,
+                indexing_technique=payload.indexing_technique,
                 account=current_user,
-                permission=args["permission"],
-                provider=args["provider"],
-                external_knowledge_api_id=args["external_knowledge_api_id"],
-                external_knowledge_id=args["external_knowledge_id"],
-                embedding_model_provider=args["embedding_model_provider"],
-                embedding_model_name=args["embedding_model"],
-                retrieval_model=RetrievalModel.model_validate(args["retrieval_model"])
-                if args["retrieval_model"] is not None
-                else None,
+                permission=str(payload.permission) if payload.permission else None,
+                provider=payload.provider,
+                external_knowledge_api_id=payload.external_knowledge_api_id,
+                external_knowledge_id=payload.external_knowledge_id,
+                embedding_model_provider=payload.embedding_model_provider,
+                embedding_model_name=payload.embedding_model,
+                retrieval_model=payload.retrieval_model,
             )
         except services.errors.dataset.DatasetNameDuplicateError:
             raise DatasetNameDuplicateError()
@@ -353,7 +264,7 @@ class DatasetApi(DatasetApiResource):
 
         return data, 200
 
-    @service_api_ns.expect(dataset_update_parser)
+    @service_api_ns.expect(service_api_ns.models[DatasetUpdatePayload.__name__])
     @service_api_ns.doc("update_dataset")
     @service_api_ns.doc(description="Update an existing dataset")
     @service_api_ns.doc(params={"dataset_id": "Dataset ID"})
@@ -372,36 +283,45 @@ class DatasetApi(DatasetApiResource):
         if dataset is None:
             raise NotFound("Dataset not found.")
 
-        args = dataset_update_parser.parse_args()
-        data = request.get_json()
+        payload_dict = service_api_ns.payload or {}
+        payload = DatasetUpdatePayload.model_validate(payload_dict)
+        update_data = payload.model_dump(exclude_unset=True)
+        if payload.permission is not None:
+            update_data["permission"] = str(payload.permission)
+        if payload.retrieval_model is not None:
+            update_data["retrieval_model"] = payload.retrieval_model.model_dump()
 
         # check embedding model setting
-        embedding_model_provider = data.get("embedding_model_provider")
-        embedding_model = data.get("embedding_model")
-        if data.get("indexing_technique") == "high_quality" or embedding_model_provider:
+        embedding_model_provider = payload.embedding_model_provider
+        embedding_model = payload.embedding_model
+        if payload.indexing_technique == "high_quality" or embedding_model_provider:
             if embedding_model_provider and embedding_model:
                 DatasetService.check_embedding_model_setting(
                     dataset.tenant_id, embedding_model_provider, embedding_model
                 )
 
-        retrieval_model = data.get("retrieval_model")
+        retrieval_model = payload.retrieval_model
         if (
             retrieval_model
-            and retrieval_model.get("reranking_model")
-            and retrieval_model.get("reranking_model").get("reranking_provider_name")
+            and retrieval_model.reranking_model
+            and retrieval_model.reranking_model.reranking_provider_name
+            and retrieval_model.reranking_model.reranking_model_name
         ):
             DatasetService.check_reranking_model_setting(
                 dataset.tenant_id,
-                retrieval_model.get("reranking_model").get("reranking_provider_name"),
-                retrieval_model.get("reranking_model").get("reranking_model_name"),
+                retrieval_model.reranking_model.reranking_provider_name,
+                retrieval_model.reranking_model.reranking_model_name,
             )
 
         # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator
         DatasetPermissionService.check_permission(
-            current_user, dataset, data.get("permission"), data.get("partial_member_list")
+            current_user,
+            dataset,
+            str(payload.permission) if payload.permission else None,
+            payload.partial_member_list,
         )
 
-        dataset = DatasetService.update_dataset(dataset_id_str, args, current_user)
+        dataset = DatasetService.update_dataset(dataset_id_str, update_data, current_user)
 
         if dataset is None:
             raise NotFound("Dataset not found.")
@@ -410,15 +330,10 @@ class DatasetApi(DatasetApiResource):
         assert isinstance(current_user, Account)
         tenant_id = current_user.current_tenant_id
 
-        if data.get("partial_member_list") and data.get("permission") == "partial_members":
-            DatasetPermissionService.update_partial_member_list(
-                tenant_id, dataset_id_str, data.get("partial_member_list")
-            )
+        if payload.partial_member_list and payload.permission == DatasetPermissionEnum.PARTIAL_TEAM:
+            DatasetPermissionService.update_partial_member_list(tenant_id, dataset_id_str, payload.partial_member_list)
         # clear partial member list when permission is only_me or all_team_members
-        elif (
-            data.get("permission") == DatasetPermissionEnum.ONLY_ME
-            or data.get("permission") == DatasetPermissionEnum.ALL_TEAM
-        ):
+        elif payload.permission in {DatasetPermissionEnum.ONLY_ME, DatasetPermissionEnum.ALL_TEAM}:
             DatasetPermissionService.clear_partial_member_list(dataset_id_str)
 
         partial_member_list = DatasetPermissionService.get_dataset_partial_member_list(dataset_id_str)
@@ -556,7 +471,7 @@ class DatasetTagsApi(DatasetApiResource):
 
         return tags, 200
 
-    @service_api_ns.expect(tag_create_parser)
+    @service_api_ns.expect(service_api_ns.models[TagCreatePayload.__name__])
     @service_api_ns.doc("create_dataset_tag")
     @service_api_ns.doc(description="Add a knowledge type tag")
     @service_api_ns.doc(
@@ -574,14 +489,13 @@ class DatasetTagsApi(DatasetApiResource):
         if not (current_user.has_edit_permission or current_user.is_dataset_editor):
             raise Forbidden()
 
-        args = tag_create_parser.parse_args()
-        args["type"] = "knowledge"
-        tag = TagService.save_tags(args)
+        payload = TagCreatePayload.model_validate(service_api_ns.payload or {})
+        tag = TagService.save_tags({"name": payload.name, "type": "knowledge"})
 
         response = {"id": tag.id, "name": tag.name, "type": tag.type, "binding_count": 0}
         return response, 200
 
-    @service_api_ns.expect(tag_update_parser)
+    @service_api_ns.expect(service_api_ns.models[TagUpdatePayload.__name__])
     @service_api_ns.doc("update_dataset_tag")
     @service_api_ns.doc(description="Update a knowledge type tag")
     @service_api_ns.doc(
@@ -598,10 +512,10 @@ class DatasetTagsApi(DatasetApiResource):
         if not (current_user.has_edit_permission or current_user.is_dataset_editor):
             raise Forbidden()
 
-        args = tag_update_parser.parse_args()
-        args["type"] = "knowledge"
-        tag_id = args["tag_id"]
-        tag = TagService.update_tags(args, tag_id)
+        payload = TagUpdatePayload.model_validate(service_api_ns.payload or {})
+        params = {"name": payload.name, "type": "knowledge"}
+        tag_id = payload.tag_id
+        tag = TagService.update_tags(params, tag_id)
 
         binding_count = TagService.get_tag_binding_count(tag_id)
 
@@ -609,7 +523,7 @@ class DatasetTagsApi(DatasetApiResource):
 
         return response, 200
 
-    @service_api_ns.expect(tag_delete_parser)
+    @service_api_ns.expect(service_api_ns.models[TagDeletePayload.__name__])
     @service_api_ns.doc("delete_dataset_tag")
     @service_api_ns.doc(description="Delete a knowledge type tag")
     @service_api_ns.doc(
@@ -623,15 +537,15 @@ class DatasetTagsApi(DatasetApiResource):
     @edit_permission_required
     def delete(self, _, dataset_id):
         """Delete a knowledge type tag."""
-        args = tag_delete_parser.parse_args()
-        TagService.delete_tag(args["tag_id"])
+        payload = TagDeletePayload.model_validate(service_api_ns.payload or {})
+        TagService.delete_tag(payload.tag_id)
 
         return 204
 
 
 @service_api_ns.route("/datasets/tags/binding")
 class DatasetTagBindingApi(DatasetApiResource):
-    @service_api_ns.expect(tag_binding_parser)
+    @service_api_ns.expect(service_api_ns.models[TagBindingPayload.__name__])
     @service_api_ns.doc("bind_dataset_tags")
     @service_api_ns.doc(description="Bind tags to a dataset")
     @service_api_ns.doc(
@@ -648,16 +562,15 @@ class DatasetTagBindingApi(DatasetApiResource):
         if not (current_user.has_edit_permission or current_user.is_dataset_editor):
             raise Forbidden()
 
-        args = tag_binding_parser.parse_args()
-        args["type"] = "knowledge"
-        TagService.save_tag_binding(args)
+        payload = TagBindingPayload.model_validate(service_api_ns.payload or {})
+        TagService.save_tag_binding({"tag_ids": payload.tag_ids, "target_id": payload.target_id, "type": "knowledge"})
 
         return 204
 
 
 @service_api_ns.route("/datasets/tags/unbinding")
 class DatasetTagUnbindingApi(DatasetApiResource):
-    @service_api_ns.expect(tag_unbinding_parser)
+    @service_api_ns.expect(service_api_ns.models[TagUnbindingPayload.__name__])
     @service_api_ns.doc("unbind_dataset_tag")
     @service_api_ns.doc(description="Unbind a tag from a dataset")
     @service_api_ns.doc(
@@ -674,9 +587,8 @@ class DatasetTagUnbindingApi(DatasetApiResource):
         if not (current_user.has_edit_permission or current_user.is_dataset_editor):
             raise Forbidden()
 
-        args = tag_unbinding_parser.parse_args()
-        args["type"] = "knowledge"
-        TagService.delete_tag_binding(args)
+        payload = TagUnbindingPayload.model_validate(service_api_ns.payload or {})
+        TagService.delete_tag_binding({"tag_id": payload.tag_id, "target_id": payload.target_id, "type": "knowledge"})
 
         return 204
 

api/controllers/service_api/dataset/document.py

@@ -3,8 +3,8 @@ from typing import Self
 from uuid import UUID
 
 from flask import request
-from flask_restx import marshal, reqparse
-from pydantic import BaseModel, model_validator
+from flask_restx import marshal
+from pydantic import BaseModel, Field, model_validator
 from sqlalchemy import desc, select
 from werkzeug.exceptions import Forbidden, NotFound
 
@@ -37,22 +37,19 @@ from services.dataset_service import DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig, ProcessRule, RetrievalModel
 from services.file_service import FileService
 
-# Define parsers for document operations
-document_text_create_parser = (
-    reqparse.RequestParser()
-    .add_argument("name", type=str, required=True, nullable=False, location="json")
-    .add_argument("text", type=str, required=True, nullable=False, location="json")
-    .add_argument("process_rule", type=dict, required=False, nullable=True, location="json")
-    .add_argument("original_document_id", type=str, required=False, location="json")
-    .add_argument("doc_form", type=str, default="text_model", required=False, nullable=False, location="json")
-    .add_argument("doc_language", type=str, default="English", required=False, nullable=False, location="json")
-    .add_argument(
-        "indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json"
-    )
-    .add_argument("retrieval_model", type=dict, required=False, nullable=True, location="json")
-    .add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
-    .add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
-)
+
+class DocumentTextCreatePayload(BaseModel):
+    name: str
+    text: str
+    process_rule: ProcessRule | None = None
+    original_document_id: str | None = None
+    doc_form: str = Field(default="text_model")
+    doc_language: str = Field(default="English")
+    indexing_technique: str | None = None
+    retrieval_model: RetrievalModel | None = None
+    embedding_model: str | None = None
+    embedding_model_provider: str | None = None
+
 
 DEFAULT_REF_TEMPLATE_SWAGGER_2_0 = "#/definitions/{model}"
 
@@ -72,7 +69,7 @@ class DocumentTextUpdate(BaseModel):
         return self
 
 
-for m in [ProcessRule, RetrievalModel, DocumentTextUpdate]:
+for m in [ProcessRule, RetrievalModel, DocumentTextCreatePayload, DocumentTextUpdate]:
     service_api_ns.schema_model(m.__name__, m.model_json_schema(ref_template=DEFAULT_REF_TEMPLATE_SWAGGER_2_0))  # type: ignore
 
 
@@ -83,7 +80,7 @@ for m in [ProcessRule, RetrievalModel, DocumentTextUpdate]:
 class DocumentAddByTextApi(DatasetApiResource):
     """Resource for documents."""
 
-    @service_api_ns.expect(document_text_create_parser)
+    @service_api_ns.expect(service_api_ns.models[DocumentTextCreatePayload.__name__])
     @service_api_ns.doc("create_document_by_text")
     @service_api_ns.doc(description="Create a new document by providing text content")
     @service_api_ns.doc(params={"dataset_id": "Dataset ID"})
@@ -99,7 +96,8 @@ class DocumentAddByTextApi(DatasetApiResource):
     @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
     def post(self, tenant_id, dataset_id):
         """Create document by text."""
-        args = document_text_create_parser.parse_args()
+        payload = DocumentTextCreatePayload.model_validate(service_api_ns.payload or {})
+        args = payload.model_dump(exclude_none=True)
 
         dataset_id = str(dataset_id)
         tenant_id = str(tenant_id)
@@ -111,33 +109,29 @@ class DocumentAddByTextApi(DatasetApiResource):
         if not dataset.indexing_technique and not args["indexing_technique"]:
             raise ValueError("indexing_technique is required.")
 
-        text = args.get("text")
-        name = args.get("name")
-        if text is None or name is None:
-            raise ValueError("Both 'text' and 'name' must be non-null values.")
-
-        embedding_model_provider = args.get("embedding_model_provider")
-        embedding_model = args.get("embedding_model")
+        embedding_model_provider = payload.embedding_model_provider
+        embedding_model = payload.embedding_model
         if embedding_model_provider and embedding_model:
             DatasetService.check_embedding_model_setting(tenant_id, embedding_model_provider, embedding_model)
 
-        retrieval_model = args.get("retrieval_model")
+        retrieval_model = payload.retrieval_model
         if (
             retrieval_model
-            and retrieval_model.get("reranking_model")
-            and retrieval_model.get("reranking_model").get("reranking_provider_name")
+            and retrieval_model.reranking_model
+            and retrieval_model.reranking_model.reranking_provider_name
+            and retrieval_model.reranking_model.reranking_model_name
         ):
             DatasetService.check_reranking_model_setting(
                 tenant_id,
-                retrieval_model.get("reranking_model").get("reranking_provider_name"),
-                retrieval_model.get("reranking_model").get("reranking_model_name"),
+                retrieval_model.reranking_model.reranking_provider_name,
+                retrieval_model.reranking_model.reranking_model_name,
             )
 
         if not current_user:
             raise ValueError("current_user is required")
 
         upload_file = FileService(db.engine).upload_text(
-            text=str(text), text_name=str(name), user_id=current_user.id, tenant_id=tenant_id
+            text=payload.text, text_name=payload.name, user_id=current_user.id, tenant_id=tenant_id
         )
         data_source = {
             "type": "upload_file",
@@ -174,7 +168,7 @@ class DocumentAddByTextApi(DatasetApiResource):
 class DocumentUpdateByTextApi(DatasetApiResource):
     """Resource for update documents."""
 
-    @service_api_ns.expect(service_api_ns.models[DocumentTextUpdate.__name__], validate=True)
+    @service_api_ns.expect(service_api_ns.models[DocumentTextUpdate.__name__])
     @service_api_ns.doc("update_document_by_text")
     @service_api_ns.doc(description="Update an existing document by providing text content")
     @service_api_ns.doc(params={"dataset_id": "Dataset ID", "document_id": "Document ID"})
@@ -189,22 +183,23 @@ class DocumentUpdateByTextApi(DatasetApiResource):
     @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
     def post(self, tenant_id: str, dataset_id: UUID, document_id: UUID):
         """Update document by text."""
-        args = DocumentTextUpdate.model_validate(service_api_ns.payload).model_dump(exclude_unset=True)
+        payload = DocumentTextUpdate.model_validate(service_api_ns.payload or {})
         dataset = db.session.query(Dataset).where(Dataset.tenant_id == tenant_id, Dataset.id == str(dataset_id)).first()
-
+        args = payload.model_dump(exclude_none=True)
         if not dataset:
             raise ValueError("Dataset does not exist.")
 
-        retrieval_model = args.get("retrieval_model")
+        retrieval_model = payload.retrieval_model
         if (
             retrieval_model
-            and retrieval_model.get("reranking_model")
-            and retrieval_model.get("reranking_model").get("reranking_provider_name")
+            and retrieval_model.reranking_model
+            and retrieval_model.reranking_model.reranking_provider_name
+            and retrieval_model.reranking_model.reranking_model_name
         ):
             DatasetService.check_reranking_model_setting(
                 tenant_id,
-                retrieval_model.get("reranking_model").get("reranking_provider_name"),
-                retrieval_model.get("reranking_model").get("reranking_model_name"),
+                retrieval_model.reranking_model.reranking_provider_name,
+                retrieval_model.reranking_model.reranking_model_name,
             )
 
         # indexing_technique is already set in dataset since this is an update

api/controllers/service_api/dataset/metadata.py

@@ -1,9 +1,11 @@
 from typing import Literal
 
 from flask_login import current_user
-from flask_restx import marshal, reqparse
+from flask_restx import marshal
+from pydantic import BaseModel
 from werkzeug.exceptions import NotFound
 
+from controllers.common.schema import register_schema_model, register_schema_models
 from controllers.service_api import service_api_ns
 from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_rate_limit_check
 from fields.dataset_fields import dataset_metadata_fields
@@ -14,25 +16,18 @@ from services.entities.knowledge_entities.knowledge_entities import (
 )
 from services.metadata_service import MetadataService
 
-# Define parsers for metadata APIs
-metadata_create_parser = (
-    reqparse.RequestParser()
-    .add_argument("type", type=str, required=True, nullable=False, location="json", help="Metadata type")
-    .add_argument("name", type=str, required=True, nullable=False, location="json", help="Metadata name")
-)
 
-metadata_update_parser = reqparse.RequestParser().add_argument(
-    "name", type=str, required=True, nullable=False, location="json", help="New metadata name"
-)
+class MetadataUpdatePayload(BaseModel):
+    name: str
 
-document_metadata_parser = reqparse.RequestParser().add_argument(
-    "operation_data", type=list, required=True, nullable=False, location="json", help="Metadata operation data"
-)
+
+register_schema_model(service_api_ns, MetadataUpdatePayload)
+register_schema_models(service_api_ns, MetadataArgs, MetadataOperationData)
 
 
 @service_api_ns.route("/datasets/<uuid:dataset_id>/metadata")
 class DatasetMetadataCreateServiceApi(DatasetApiResource):
-    @service_api_ns.expect(metadata_create_parser)
+    @service_api_ns.expect(service_api_ns.models[MetadataArgs.__name__])
     @service_api_ns.doc("create_dataset_metadata")
     @service_api_ns.doc(description="Create metadata for a dataset")
     @service_api_ns.doc(params={"dataset_id": "Dataset ID"})
@@ -46,8 +41,7 @@ class DatasetMetadataCreateServiceApi(DatasetApiResource):
     @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
     def post(self, tenant_id, dataset_id):
         """Create metadata for a dataset."""
-        args = metadata_create_parser.parse_args()
-        metadata_args = MetadataArgs.model_validate(args)
+        metadata_args = MetadataArgs.model_validate(service_api_ns.payload or {})
 
         dataset_id_str = str(dataset_id)
         dataset = DatasetService.get_dataset(dataset_id_str)
@@ -79,7 +73,7 @@ class DatasetMetadataCreateServiceApi(DatasetApiResource):
 
 @service_api_ns.route("/datasets/<uuid:dataset_id>/metadata/<uuid:metadata_id>")
 class DatasetMetadataServiceApi(DatasetApiResource):
-    @service_api_ns.expect(metadata_update_parser)
+    @service_api_ns.expect(service_api_ns.models[MetadataUpdatePayload.__name__])
     @service_api_ns.doc("update_dataset_metadata")
     @service_api_ns.doc(description="Update metadata name")
     @service_api_ns.doc(params={"dataset_id": "Dataset ID", "metadata_id": "Metadata ID"})
@@ -93,7 +87,7 @@ class DatasetMetadataServiceApi(DatasetApiResource):
     @cloud_edition_billing_rate_limit_check("knowledge", "dataset")
     def patch(self, tenant_id, dataset_id, metadata_id):
         """Update metadata name."""
-        args = metadata_update_parser.parse_args()
+        payload = MetadataUpdatePayload.model_validate(service_api_ns.payload or {})
 
         dataset_id_str = str(dataset_id)
         metadata_id_str = str(metadata_id)
@@ -102,7 +96,7 @@ class DatasetMetadataServiceApi(DatasetApiResource):
             raise NotFound("Dataset not found.")
         DatasetService.check_dataset_permission(dataset, current_user)
 
-        metadata = MetadataService.update_metadata_name(dataset_id_str, metadata_id_str, args["name"])
+        metadata = MetadataService.update_metadata_name(dataset_id_str, metadata_id_str, payload.name)
         return marshal(metadata, dataset_metadata_fields), 200
 
     @service_api_ns.doc("delete_dataset_metadata")
@@ -175,7 +169,7 @@ class DatasetMetadataBuiltInFieldActionServiceApi(DatasetApiResource):
 
 @service_api_ns.route("/datasets/<uuid:dataset_id>/documents/metadata")
 class DocumentMetadataEditServiceApi(DatasetApiResource):
-    @service_api_ns.expect(document_metadata_parser)
+    @service_api_ns.expect(service_api_ns.models[MetadataOperationData.__name__])
     @service_api_ns.doc("update_documents_metadata")
     @service_api_ns.doc(description="Update metadata for multiple documents")
     @service_api_ns.doc(params={"dataset_id": "Dataset ID"})
@@ -195,8 +189,7 @@ class DocumentMetadataEditServiceApi(DatasetApiResource):
             raise NotFound("Dataset not found.")
         DatasetService.check_dataset_permission(dataset, current_user)
 
-        args = document_metadata_parser.parse_args()
-        metadata_args = MetadataOperationData.model_validate(args)
+        metadata_args = MetadataOperationData.model_validate(service_api_ns.payload or {})
 
         MetadataService.update_documents_metadata(dataset, metadata_args)
 

api/controllers/service_api/dataset/rag_pipeline/rag_pipeline_workflow.py

@@ -4,12 +4,12 @@ from collections.abc import Generator
 from typing import Any
 
 from flask import request
-from flask_restx import reqparse
-from flask_restx.reqparse import ParseResult, RequestParser
+from pydantic import BaseModel
 from werkzeug.exceptions import Forbidden
 
 import services
 from controllers.common.errors import FilenameNotExistsError, NoFileUploadedError, TooManyFilesError
+from controllers.common.schema import register_schema_model
 from controllers.service_api import service_api_ns
 from controllers.service_api.dataset.error import PipelineRunError
 from controllers.service_api.wraps import DatasetApiResource
@@ -22,11 +22,25 @@ from models.dataset import Pipeline
 from models.engine import db
 from services.errors.file import FileTooLargeError, UnsupportedFileTypeError
 from services.file_service import FileService
-from services.rag_pipeline.entity.pipeline_service_api_entities import DatasourceNodeRunApiEntity
+from services.rag_pipeline.entity.pipeline_service_api_entities import (
+    DatasourceNodeRunApiEntity,
+    PipelineRunApiEntity,
+)
 from services.rag_pipeline.pipeline_generate_service import PipelineGenerateService
 from services.rag_pipeline.rag_pipeline import RagPipelineService
 
 
+class DatasourceNodeRunPayload(BaseModel):
+    inputs: dict[str, Any]
+    datasource_type: str
+    credential_id: str | None = None
+    is_published: bool
+
+
+register_schema_model(service_api_ns, DatasourceNodeRunPayload)
+register_schema_model(service_api_ns, PipelineRunApiEntity)
+
+
 @service_api_ns.route(f"/datasets/{uuid:dataset_id}/pipeline/datasource-plugins")
 class DatasourcePluginsApi(DatasetApiResource):
     """Resource for datasource plugins."""
@@ -88,22 +102,20 @@ class DatasourceNodeRunApi(DatasetApiResource):
             401: "Unauthorized - invalid API token",
         }
     )
+    @service_api_ns.expect(service_api_ns.models[DatasourceNodeRunPayload.__name__])
     def post(self, tenant_id: str, dataset_id: str, node_id: str):
         """Resource for getting datasource plugins."""
-        # Get query parameter to determine published or draft
-        parser: RequestParser = (
-            reqparse.RequestParser()
-            .add_argument("inputs", type=dict, required=True, nullable=False, location="json")
-            .add_argument("datasource_type", type=str, required=True, location="json")
-            .add_argument("credential_id", type=str, required=False, location="json")
-            .add_argument("is_published", type=bool, required=True, location="json")
-        )
-        args: ParseResult = parser.parse_args()
-
-        datasource_node_run_api_entity = DatasourceNodeRunApiEntity.model_validate(args)
+        payload = DatasourceNodeRunPayload.model_validate(service_api_ns.payload or {})
         assert isinstance(current_user, Account)
         rag_pipeline_service: RagPipelineService = RagPipelineService()
         pipeline: Pipeline = rag_pipeline_service.get_pipeline(tenant_id=tenant_id, dataset_id=dataset_id)
+        datasource_node_run_api_entity = DatasourceNodeRunApiEntity.model_validate(
+            {
+                **payload.model_dump(exclude_none=True),
+                "pipeline_id": str(pipeline.id),
+                "node_id": node_id,
+            }
+        )
         return helper.compact_generate_response(
             PipelineGenerator.convert_to_event_stream(
                 rag_pipeline_service.run_datasource_workflow_node(
@@ -147,25 +159,10 @@ class PipelineRunApi(DatasetApiResource):
             401: "Unauthorized - invalid API token",
         }
     )
+    @service_api_ns.expect(service_api_ns.models[PipelineRunApiEntity.__name__])
     def post(self, tenant_id: str, dataset_id: str):
         """Resource for running a rag pipeline."""
-        parser: RequestParser = (
-            reqparse.RequestParser()
-            .add_argument("inputs", type=dict, required=True, nullable=False, location="json")
-            .add_argument("datasource_type", type=str, required=True, location="json")
-            .add_argument("datasource_info_list", type=list, required=True, location="json")
-            .add_argument("start_node_id", type=str, required=True, location="json")
-            .add_argument("is_published", type=bool, required=True, default=True, location="json")
-            .add_argument(
-                "response_mode",
-                type=str,
-                required=True,
-                choices=["streaming", "blocking"],
-                default="blocking",
-                location="json",
-            )
-        )
-        args: ParseResult = parser.parse_args()
+        payload = PipelineRunApiEntity.model_validate(service_api_ns.payload or {})
 
         if not isinstance(current_user, Account):
             raise Forbidden()
@@ -176,9 +173,9 @@ class PipelineRunApi(DatasetApiResource):
             response: dict[Any, Any] | Generator[str, Any, None] = PipelineGenerateService.generate(
                 pipeline=pipeline,
                 user=current_user,
-                args=args,
-                invoke_from=InvokeFrom.PUBLISHED if args.get("is_published") else InvokeFrom.DEBUGGER,
-                streaming=args.get("response_mode") == "streaming",
+                args=payload.model_dump(),
+                invoke_from=InvokeFrom.PUBLISHED if payload.is_published else InvokeFrom.DEBUGGER,
+                streaming=payload.response_mode == "streaming",
             )
 
             return helper.compact_generate_response(response)

api/controllers/service_api/dataset/segment.py

@@ -1,8 +1,12 @@
+from typing import Any
+
 from flask import request
-from flask_restx import marshal, reqparse
+from flask_restx import marshal
+from pydantic import BaseModel, Field
 from werkzeug.exceptions import NotFound
 
 from configs import dify_config
+from controllers.common.schema import register_schema_models
 from controllers.service_api import service_api_ns
 from controllers.service_api.app.error import ProviderNotInitializeError
 from controllers.service_api.wraps import (
@@ -24,34 +28,42 @@ from services.errors.chunk import ChildChunkDeleteIndexError, ChildChunkIndexing
 from services.errors.chunk import ChildChunkDeleteIndexError as ChildChunkDeleteIndexServiceError
 from services.errors.chunk import ChildChunkIndexingError as ChildChunkIndexingServiceError
 
-# Define parsers for segment operations
-segment_create_parser = reqparse.RequestParser().add_argument(
-    "segments", type=list, required=False, nullable=True, location="json"
-)
 
-segment_list_parser = (
-    reqparse.RequestParser()
-    .add_argument("status", type=str, action="append", default=[], location="args")
-    .add_argument("keyword", type=str, default=None, location="args")
-)
+class SegmentCreatePayload(BaseModel):
+    segments: list[dict[str, Any]] | None = None
 
-segment_update_parser = reqparse.RequestParser().add_argument(
-    "segment", type=dict, required=False, nullable=True, location="json"
-)
 
-child_chunk_create_parser = reqparse.RequestParser().add_argument(
-    "content", type=str, required=True, nullable=False, location="json"
-)
+class SegmentListQuery(BaseModel):
+    status: list[str] = Field(default_factory=list)
+    keyword: str | None = None
 
-child_chunk_list_parser = (
-    reqparse.RequestParser()
-    .add_argument("limit", type=int, default=20, location="args")
-    .add_argument("keyword", type=str, default=None, location="args")
-    .add_argument("page", type=int, default=1, location="args")
-)
 
-child_chunk_update_parser = reqparse.RequestParser().add_argument(
-    "content", type=str, required=True, nullable=False, location="json"
+class SegmentUpdatePayload(BaseModel):
+    segment: SegmentUpdateArgs
+
+
+class ChildChunkCreatePayload(BaseModel):
+    content: str
+
+
+class ChildChunkListQuery(BaseModel):
+    limit: int = Field(default=20, ge=1)
+    keyword: str | None = None
+    page: int = Field(default=1, ge=1)
+
+
+class ChildChunkUpdatePayload(BaseModel):
+    content: str
+
+
+register_schema_models(
+    service_api_ns,
+    SegmentCreatePayload,
+    SegmentListQuery,
+    SegmentUpdatePayload,
+    ChildChunkCreatePayload,
+    ChildChunkListQuery,
+    ChildChunkUpdatePayload,
 )
 
 
@@ -59,7 +71,7 @@ child_chunk_update_parser = reqparse.RequestParser().add_argument(
 class SegmentApi(DatasetApiResource):
     """Resource for segments."""
 
-    @service_api_ns.expect(segment_create_parser)
+    @service_api_ns.expect(service_api_ns.models[SegmentCreatePayload.__name__])
     @service_api_ns.doc("create_segments")
     @service_api_ns.doc(description="Create segments in a document")
     @service_api_ns.doc(params={"dataset_id": "Dataset ID", "document_id": "Document ID"})
@@ -106,20 +118,20 @@ class SegmentApi(DatasetApiResource):
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
         # validate args
-        args = segment_create_parser.parse_args()
-        if args["segments"] is not None:
+        payload = SegmentCreatePayload.model_validate(service_api_ns.payload or {})
+        if payload.segments is not None:
             segments_limit = dify_config.DATASET_MAX_SEGMENTS_PER_REQUEST
-            if segments_limit > 0 and len(args["segments"]) > segments_limit:
+            if segments_limit > 0 and len(payload.segments) > segments_limit:
                 raise ValueError(f"Exceeded maximum segments limit of {segments_limit}.")
 
-            for args_item in args["segments"]:
+            for args_item in payload.segments:
                 SegmentService.segment_create_args_validate(args_item, document)
-            segments = SegmentService.multi_create_segment(args["segments"], document, dataset)
+            segments = SegmentService.multi_create_segment(payload.segments, document, dataset)
             return {"data": marshal(segments, segment_fields), "doc_form": document.doc_form}, 200
         else:
             return {"error": "Segments is required"}, 400
 
-    @service_api_ns.expect(segment_list_parser)
+    @service_api_ns.expect(service_api_ns.models[SegmentListQuery.__name__])
     @service_api_ns.doc("list_segments")
     @service_api_ns.doc(description="List segments in a document")
     @service_api_ns.doc(params={"dataset_id": "Dataset ID", "document_id": "Document ID"})
@@ -160,13 +172,18 @@ class SegmentApi(DatasetApiResource):
             except ProviderTokenNotInitError as ex:
                 raise ProviderNotInitializeError(ex.description)
 
-        args = segment_list_parser.parse_args()
+        args = SegmentListQuery.model_validate(
+            {
+                "status": request.args.getlist("status"),
+                "keyword": request.args.get("keyword"),
+            }
+        )
 
         segments, total = SegmentService.get_segments(
             document_id=document_id,
             tenant_id=current_tenant_id,
-            status_list=args["status"],
-            keyword=args["keyword"],
+            status_list=args.status,
+            keyword=args.keyword,
             page=page,
             limit=limit,
         )
@@ -217,7 +234,7 @@ class DatasetSegmentApi(DatasetApiResource):
         SegmentService.delete_segment(segment, document, dataset)
         return 204
 
-    @service_api_ns.expect(segment_update_parser)
+    @service_api_ns.expect(service_api_ns.models[SegmentUpdatePayload.__name__])
     @service_api_ns.doc("update_segment")
     @service_api_ns.doc(description="Update a specific segment")
     @service_api_ns.doc(
@@ -265,12 +282,9 @@ class DatasetSegmentApi(DatasetApiResource):
         if not segment:
             raise NotFound("Segment not found.")
 
-        # validate args
-        args = segment_update_parser.parse_args()
+        payload = SegmentUpdatePayload.model_validate(service_api_ns.payload or {})
 
-        updated_segment = SegmentService.update_segment(
-            SegmentUpdateArgs.model_validate(args["segment"]), segment, document, dataset
-        )
+        updated_segment = SegmentService.update_segment(payload.segment, segment, document, dataset)
         return {"data": marshal(updated_segment, segment_fields), "doc_form": document.doc_form}, 200
 
     @service_api_ns.doc("get_segment")
@@ -308,7 +322,7 @@ class DatasetSegmentApi(DatasetApiResource):
 class ChildChunkApi(DatasetApiResource):
     """Resource for child chunks."""
 
-    @service_api_ns.expect(child_chunk_create_parser)
+    @service_api_ns.expect(service_api_ns.models[ChildChunkCreatePayload.__name__])
     @service_api_ns.doc("create_child_chunk")
     @service_api_ns.doc(description="Create a new child chunk for a segment")
     @service_api_ns.doc(
@@ -360,16 +374,16 @@ class ChildChunkApi(DatasetApiResource):
                 raise ProviderNotInitializeError(ex.description)
 
         # validate args
-        args = child_chunk_create_parser.parse_args()
+        payload = ChildChunkCreatePayload.model_validate(service_api_ns.payload or {})
 
         try:
-            child_chunk = SegmentService.create_child_chunk(args["content"], segment, document, dataset)
+            child_chunk = SegmentService.create_child_chunk(payload.content, segment, document, dataset)
         except ChildChunkIndexingServiceError as e:
             raise ChildChunkIndexingError(str(e))
 
         return {"data": marshal(child_chunk, child_chunk_fields)}, 200
 
-    @service_api_ns.expect(child_chunk_list_parser)
+    @service_api_ns.expect(service_api_ns.models[ChildChunkListQuery.__name__])
     @service_api_ns.doc("list_child_chunks")
     @service_api_ns.doc(description="List child chunks for a segment")
     @service_api_ns.doc(
@@ -400,11 +414,17 @@ class ChildChunkApi(DatasetApiResource):
         if not segment:
             raise NotFound("Segment not found.")
 
-        args = child_chunk_list_parser.parse_args()
+        args = ChildChunkListQuery.model_validate(
+            {
+                "limit": request.args.get("limit", default=20, type=int),
+                "keyword": request.args.get("keyword"),
+                "page": request.args.get("page", default=1, type=int),
+            }
+        )
 
-        page = args["page"]
-        limit = min(args["limit"], 100)
-        keyword = args["keyword"]
+        page = args.page
+        limit = min(args.limit, 100)
+        keyword = args.keyword
 
         child_chunks = SegmentService.get_child_chunks(segment_id, document_id, dataset_id, page, limit, keyword)
 
@@ -480,7 +500,7 @@ class DatasetChildChunkApi(DatasetApiResource):
 
         return 204
 
-    @service_api_ns.expect(child_chunk_update_parser)
+    @service_api_ns.expect(service_api_ns.models[ChildChunkUpdatePayload.__name__])
     @service_api_ns.doc("update_child_chunk")
     @service_api_ns.doc(description="Update a specific child chunk")
     @service_api_ns.doc(
@@ -533,10 +553,10 @@ class DatasetChildChunkApi(DatasetApiResource):
             raise NotFound("Child chunk not found.")
 
         # validate args
-        args = child_chunk_update_parser.parse_args()
+        payload = ChildChunkUpdatePayload.model_validate(service_api_ns.payload or {})
 
         try:
-            child_chunk = SegmentService.update_child_chunk(args["content"], child_chunk, segment, document, dataset)
+            child_chunk = SegmentService.update_child_chunk(payload.content, child_chunk, segment, document, dataset)
         except ChildChunkIndexingServiceError as e:
             raise ChildChunkIndexingError(str(e))
 

api/services/hit_testing_service.py

@@ -101,8 +101,8 @@ class HitTestingService:
         dataset: Dataset,
         query: str,
         account: Account,
-        external_retrieval_model: dict,
-        metadata_filtering_conditions: dict,
+        external_retrieval_model: dict | None = None,
+        metadata_filtering_conditions: dict | None = None,
     ):
         if dataset.provider != "external":
             return {

api/tests/unit_tests/controllers/console/billing/test_billing.py

@@ -125,7 +125,7 @@ class TestPartnerTenants:
                 resource = PartnerTenants()
 
                 # Act & Assert
-                # reqparse will raise BadRequest for missing required field
+                # Validation should raise BadRequest for missing required field
                 with pytest.raises(BadRequest):
                     resource.put(partner_key_encoded)
 

api/tests/unit_tests/controllers/service_api/app/test_file_preview.py

@@ -256,24 +256,18 @@ class TestFilePreviewApi:
                 mock_app,  # App query for tenant validation
             ]
 
-            with patch("controllers.service_api.app.file_preview.reqparse") as mock_reqparse:
-                # Mock request parsing
-                mock_parser = Mock()
-                mock_parser.parse_args.return_value = {"as_attachment": False}
-                mock_reqparse.RequestParser.return_value = mock_parser
+            # Test the core logic directly without Flask decorators
+            # Validate file ownership
+            result_message_file, result_upload_file = file_preview_api._validate_file_ownership(file_id, app_id)
+            assert result_message_file == mock_message_file
+            assert result_upload_file == mock_upload_file
 
-                # Test the core logic directly without Flask decorators
-                # Validate file ownership
-                result_message_file, result_upload_file = file_preview_api._validate_file_ownership(file_id, app_id)
-                assert result_message_file == mock_message_file
-                assert result_upload_file == mock_upload_file
+            # Test file response building
+            response = file_preview_api._build_file_response(mock_generator, mock_upload_file, False)
+            assert response is not None
 
-                # Test file response building
-                response = file_preview_api._build_file_response(mock_generator, mock_upload_file, False)
-                assert response is not None
-
-                # Verify storage was called correctly
-                mock_storage.load.assert_not_called()  # Since we're testing components separately
+            # Verify storage was called correctly
+            mock_storage.load.assert_not_called()  # Since we're testing components separately
 
     @patch("controllers.service_api.app.file_preview.storage")
     def test_storage_error_handling(

api/tests/unit_tests/services/test_metadata_bug_complete.py

@@ -2,8 +2,6 @@ from pathlib import Path
 from unittest.mock import Mock, create_autospec, patch
 
 import pytest
-from flask_restx import reqparse
-from werkzeug.exceptions import BadRequest
 
 from models.account import Account
 from services.entities.knowledge_entities.knowledge_entities import MetadataArgs
@@ -77,60 +75,39 @@ class TestMetadataBugCompleteValidation:
         assert type_column.nullable is False, "type column should be nullable=False"
         assert name_column.nullable is False, "name column should be nullable=False"
 
-    def test_4_fixed_api_layer_rejects_null(self, app):
-        """Test Layer 4: Fixed API configuration properly rejects null values."""
-        # Test Console API create endpoint (fixed)
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("type", type=str, required=True, nullable=False, location="json")
-            .add_argument("name", type=str, required=True, nullable=False, location="json")
-        )
+    def test_4_fixed_api_layer_rejects_null(self):
+        """Test Layer 4: Fixed API configuration properly rejects null values using Pydantic."""
+        with pytest.raises((ValueError, TypeError)):
+            MetadataArgs.model_validate({"type": None, "name": None})
 
-        with app.test_request_context(json={"type": None, "name": None}, content_type="application/json"):
-            with pytest.raises(BadRequest):
-                parser.parse_args()
+        with pytest.raises((ValueError, TypeError)):
+            MetadataArgs.model_validate({"type": "string", "name": None})
 
-        # Test with just name being null
-        with app.test_request_context(json={"type": "string", "name": None}, content_type="application/json"):
-            with pytest.raises(BadRequest):
-                parser.parse_args()
+        with pytest.raises((ValueError, TypeError)):
+            MetadataArgs.model_validate({"type": None, "name": "test"})
 
-        # Test with just type being null
-        with app.test_request_context(json={"type": None, "name": "test"}, content_type="application/json"):
-            with pytest.raises(BadRequest):
-                parser.parse_args()
-
-    def test_5_fixed_api_accepts_valid_values(self, app):
+    def test_5_fixed_api_accepts_valid_values(self):
         """Test that fixed API still accepts valid non-null values."""
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("type", type=str, required=True, nullable=False, location="json")
-            .add_argument("name", type=str, required=True, nullable=False, location="json")
-        )
+        args = MetadataArgs.model_validate({"type": "string", "name": "valid_name"})
+        assert args.type == "string"
+        assert args.name == "valid_name"
 
-        with app.test_request_context(json={"type": "string", "name": "valid_name"}, content_type="application/json"):
-            args = parser.parse_args()
-            assert args["type"] == "string"
-            assert args["name"] == "valid_name"
+    def test_6_simulated_buggy_behavior(self):
+        """Test simulating the original buggy behavior by bypassing Pydantic validation."""
+        mock_metadata_args = Mock()
+        mock_metadata_args.name = None
+        mock_metadata_args.type = None
 
-    def test_6_simulated_buggy_behavior(self, app):
-        """Test simulating the original buggy behavior with nullable=True."""
-        # Simulate the old buggy configuration
-        buggy_parser = (
-            reqparse.RequestParser()
-            .add_argument("type", type=str, required=True, nullable=True, location="json")
-            .add_argument("name", type=str, required=True, nullable=True, location="json")
-        )
+        mock_user = create_autospec(Account, instance=True)
+        mock_user.current_tenant_id = "tenant-123"
+        mock_user.id = "user-456"
 
-        with app.test_request_context(json={"type": None, "name": None}, content_type="application/json"):
-            # This would pass in the buggy version
-            args = buggy_parser.parse_args()
-            assert args["type"] is None
-            assert args["name"] is None
-
-            # But would crash when trying to create MetadataArgs
-            with pytest.raises((ValueError, TypeError)):
-                MetadataArgs.model_validate(args)
+        with patch(
+            "services.metadata_service.current_account_with_tenant",
+            return_value=(mock_user, mock_user.current_tenant_id),
+        ):
+            with pytest.raises(TypeError, match="object of type 'NoneType' has no len"):
+                MetadataService.create_metadata("dataset-123", mock_metadata_args)
 
     def test_7_end_to_end_validation_layers(self):
         """Test all validation layers work together correctly."""

api/tests/unit_tests/services/test_metadata_nullable_bug.py

@@ -1,7 +1,6 @@
 from unittest.mock import Mock, create_autospec, patch
 
 import pytest
-from flask_restx import reqparse
 
 from models.account import Account
 from services.entities.knowledge_entities.knowledge_entities import MetadataArgs
@@ -51,76 +50,16 @@ class TestMetadataNullableBug:
             with pytest.raises(TypeError, match="object of type 'NoneType' has no len"):
                 MetadataService.update_metadata_name("dataset-123", "metadata-456", None)
 
-    def test_api_parser_accepts_null_values(self, app):
-        """Test that API parser configuration incorrectly accepts null values."""
-        # Simulate the current API parser configuration
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("type", type=str, required=True, nullable=True, location="json")
-            .add_argument("name", type=str, required=True, nullable=True, location="json")
-        )
+    def test_api_layer_now_uses_pydantic_validation(self):
+        """Verify that API layer relies on Pydantic validation instead of reqparse."""
+        invalid_payload = {"type": None, "name": None}
+        with pytest.raises((ValueError, TypeError)):
+            MetadataArgs.model_validate(invalid_payload)
 
-        # Simulate request data with null values
-        with app.test_request_context(json={"type": None, "name": None}, content_type="application/json"):
-            # This should parse successfully due to nullable=True
-            args = parser.parse_args()
-
-            # Verify that null values are accepted
-            assert args["type"] is None
-            assert args["name"] is None
-
-            # This demonstrates the bug: API accepts None but business logic will crash
-
-    def test_integration_bug_scenario(self, app):
-        """Test the complete bug scenario from API to service layer."""
-        # Step 1: API parser accepts null values (current buggy behavior)
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("type", type=str, required=True, nullable=True, location="json")
-            .add_argument("name", type=str, required=True, nullable=True, location="json")
-        )
-
-        with app.test_request_context(json={"type": None, "name": None}, content_type="application/json"):
-            args = parser.parse_args()
-
-            # Step 2: Try to create MetadataArgs with None values
-            # This should fail at Pydantic validation level
-            with pytest.raises((ValueError, TypeError)):
-                metadata_args = MetadataArgs.model_validate(args)
-
-        # Step 3: If we bypass Pydantic (simulating the bug scenario)
-        # Move this outside the request context to avoid Flask-Login issues
-        mock_metadata_args = Mock()
-        mock_metadata_args.name = None  # From args["name"]
-        mock_metadata_args.type = None  # From args["type"]
-
-        mock_user = create_autospec(Account, instance=True)
-        mock_user.current_tenant_id = "tenant-123"
-        mock_user.id = "user-456"
-
-        with patch(
-            "services.metadata_service.current_account_with_tenant",
-            return_value=(mock_user, mock_user.current_tenant_id),
-        ):
-            # Step 4: Service layer crashes on len(None)
-            with pytest.raises(TypeError, match="object of type 'NoneType' has no len"):
-                MetadataService.create_metadata("dataset-123", mock_metadata_args)
-
-    def test_correct_nullable_false_configuration_works(self, app):
-        """Test that the correct nullable=False configuration works as expected."""
-        # This tests the FIXED configuration
-        parser = (
-            reqparse.RequestParser()
-            .add_argument("type", type=str, required=True, nullable=False, location="json")
-            .add_argument("name", type=str, required=True, nullable=False, location="json")
-        )
-
-        with app.test_request_context(json={"type": None, "name": None}, content_type="application/json"):
-            # This should fail with BadRequest due to nullable=False
-            from werkzeug.exceptions import BadRequest
-
-            with pytest.raises(BadRequest):
-                parser.parse_args()
+        valid_payload = {"type": "string", "name": "valid"}
+        args = MetadataArgs.model_validate(valid_payload)
+        assert args.type == "string"
+        assert args.name == "valid"
 
 
 if __name__ == "__main__":