diff --git a/api/README.md b/api/README.md
index 5ecf92a4f0..e75ea3d354 100644
--- a/api/README.md
+++ b/api/README.md
@@ -80,10 +80,10 @@
 1. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
 
 ```bash
-uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation
+uv run celery -A app.celery worker -P gevent -c 2 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation
 ```
 
-Addition, if you want to debug the celery scheduled tasks, you can use the following command in another terminal:
+Additionally, if you want to debug the celery scheduled tasks, you can run the following command in another terminal to start the beat service:
 
 ```bash
 uv run celery -A app.celery beat
diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py
index 2affbd6a42..60eedd2197 100644
--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -1,4 +1,5 @@
-import flask_restx
+from typing import Any, cast
+
 from flask import request
 from flask_login import current_user
 from flask_restx import Resource, fields, marshal, marshal_with, reqparse
@@ -31,12 +32,13 @@ from fields.dataset_fields import dataset_detail_fields, dataset_query_detail_fi
 from fields.document_fields import document_status_fields
 from libs.login import login_required
 from models import ApiToken, Dataset, Document, DocumentSegment, UploadFile
+from models.account import Account
 from models.dataset import DatasetPermissionEnum
 from models.provider_ids import ModelProviderID
 from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
 
 
-def _validate_name(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
@@ -92,7 +94,7 @@ class DatasetListApi(Resource):
         for embedding_model in embedding_models:
             model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}")
 
-        data = marshal(datasets, dataset_detail_fields)
+        data = cast(list[dict[str, Any]], marshal(datasets, dataset_detail_fields))
         for item in data:
             # convert embedding_model_provider to plugin standard format
             if item["indexing_technique"] == "high_quality" and item["embedding_model_provider"]:
@@ -192,7 +194,7 @@ class DatasetListApi(Resource):
                 name=args["name"],
                 description=args["description"],
                 indexing_technique=args["indexing_technique"],
-                account=current_user,
+                account=cast(Account, current_user),
                 permission=DatasetPermissionEnum.ONLY_ME,
                 provider=args["provider"],
                 external_knowledge_api_id=args["external_knowledge_api_id"],
@@ -224,7 +226,7 @@ class DatasetApi(Resource):
             DatasetService.check_dataset_permission(dataset, current_user)
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
-        data = marshal(dataset, dataset_detail_fields)
+        data = cast(dict[str, Any], marshal(dataset, dataset_detail_fields))
         if dataset.indexing_technique == "high_quality":
             if dataset.embedding_model_provider:
                 provider_id = ModelProviderID(dataset.embedding_model_provider)
@@ -369,7 +371,7 @@ class DatasetApi(Resource):
         if dataset is None:
             raise NotFound("Dataset not found.")
 
-        result_data = marshal(dataset, dataset_detail_fields)
+        result_data = cast(dict[str, Any], marshal(dataset, dataset_detail_fields))
         tenant_id = current_user.current_tenant_id
 
         if data.get("partial_member_list") and data.get("permission") == "partial_members":
@@ -688,7 +690,7 @@ class DatasetApiKeyApi(Resource):
         )
 
         if current_key_count >= self.max_keys:
-            flask_restx.abort(
+            api.abort(
                 400,
                 message=f"Cannot create more than {self.max_keys} API keys for this resource type.",
                 code="max_keys_exceeded",
@@ -733,7 +735,7 @@ class DatasetApiDeleteApi(Resource):
         )
 
         if key is None:
-            flask_restx.abort(404, message="API key not found")
+            api.abort(404, message="API key not found")
 
         db.session.query(ApiToken).where(ApiToken.id == api_key_id).delete()
         db.session.commit()
diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py
index 6aaede0fb3..c5fa2061bf 100644
--- a/api/controllers/console/datasets/datasets_document.py
+++ b/api/controllers/console/datasets/datasets_document.py
@@ -55,6 +55,7 @@ from fields.document_fields import (
 from libs.datetime_utils import naive_utc_now
 from libs.login import login_required
 from models import Dataset, DatasetProcessRule, Document, DocumentSegment, UploadFile
+from models.account import Account
 from models.dataset import DocumentPipelineExecutionLog
 from services.dataset_service import DatasetService, DocumentService
 from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig
@@ -418,7 +419,9 @@ class DatasetInitApi(Resource):
 
         try:
             dataset, documents, batch = DocumentService.save_document_without_dataset_id(
-                tenant_id=current_user.current_tenant_id, knowledge_config=knowledge_config, account=current_user
+                tenant_id=current_user.current_tenant_id,
+                knowledge_config=knowledge_config,
+                account=cast(Account, current_user),
             )
         except ProviderTokenNotInitError as ex:
             raise ProviderNotInitializeError(ex.description)
@@ -452,7 +455,7 @@ class DocumentIndexingEstimateApi(DocumentResource):
             raise DocumentAlreadyFinishedError()
 
         data_process_rule = document.dataset_process_rule
-        data_process_rule_dict = data_process_rule.to_dict()
+        data_process_rule_dict = data_process_rule.to_dict() if data_process_rule else {}
 
         response = {"tokens": 0, "total_price": 0, "currency": "USD", "total_segments": 0, "preview": []}
 
@@ -514,7 +517,7 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
         if not documents:
             return {"tokens": 0, "total_price": 0, "currency": "USD", "total_segments": 0, "preview": []}, 200
         data_process_rule = documents[0].dataset_process_rule
-        data_process_rule_dict = data_process_rule.to_dict()
+        data_process_rule_dict = data_process_rule.to_dict() if data_process_rule else {}
         extract_settings = []
         for document in documents:
             if document.indexing_status in {"completed", "error"}:
@@ -753,7 +756,7 @@ class DocumentApi(DocumentResource):
             }
         else:
             dataset_process_rules = DatasetService.get_process_rules(dataset_id)
-            document_process_rules = document.dataset_process_rule.to_dict()
+            document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
             data_source_info = document.data_source_detail_dict
             response = {
                 "id": document.id,
@@ -1073,7 +1076,9 @@ class DocumentRenameApi(DocumentResource):
         if not current_user.is_dataset_editor:
             raise Forbidden()
         dataset = DatasetService.get_dataset(dataset_id)
-        DatasetService.check_dataset_operator_permission(current_user, dataset)
+        if not dataset:
+            raise NotFound("Dataset not found.")
+        DatasetService.check_dataset_operator_permission(cast(Account, current_user), dataset)
         parser = reqparse.RequestParser()
         parser.add_argument("name", type=str, required=True, nullable=False, location="json")
         args = parser.parse_args()
diff --git a/api/controllers/console/datasets/datasets_segments.py b/api/controllers/console/datasets/datasets_segments.py
index ba552821d2..9f2805e2c6 100644
--- a/api/controllers/console/datasets/datasets_segments.py
+++ b/api/controllers/console/datasets/datasets_segments.py
@@ -392,7 +392,12 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
             # send batch add segments task
             redis_client.setnx(indexing_cache_key, "waiting")
             batch_create_segment_to_index_task.delay(
-                str(job_id), upload_file_id, dataset_id, document_id, current_user.current_tenant_id, current_user.id
+                str(job_id),
+                upload_file_id,
+                dataset_id,
+                document_id,
+                current_user.current_tenant_id,
+                current_user.id,
             )
         except Exception as e:
             return {"error": str(e)}, 500
@@ -468,7 +473,8 @@ class ChildChunkAddApi(Resource):
         parser.add_argument("content", type=str, required=True, nullable=False, location="json")
         args = parser.parse_args()
         try:
-            child_chunk = SegmentService.create_child_chunk(args.get("content"), segment, document, dataset)
+            content = args["content"]
+            child_chunk = SegmentService.create_child_chunk(content, segment, document, dataset)
         except ChildChunkIndexingServiceError as e:
             raise ChildChunkIndexingError(str(e))
         return {"data": marshal(child_chunk, child_chunk_fields)}, 200
@@ -557,7 +563,8 @@ class ChildChunkAddApi(Resource):
         parser.add_argument("chunks", type=list, required=True, nullable=False, location="json")
         args = parser.parse_args()
         try:
-            chunks = [ChildChunkUpdateArgs(**chunk) for chunk in args.get("chunks")]
+            chunks_data = args["chunks"]
+            chunks = [ChildChunkUpdateArgs(**chunk) for chunk in chunks_data]
             child_chunks = SegmentService.update_child_chunks(chunks, segment, document, dataset)
         except ChildChunkIndexingServiceError as e:
             raise ChildChunkIndexingError(str(e))
@@ -674,9 +681,8 @@ class ChildChunkUpdateApi(Resource):
         parser.add_argument("content", type=str, required=True, nullable=False, location="json")
         args = parser.parse_args()
         try:
-            child_chunk = SegmentService.update_child_chunk(
-                args.get("content"), child_chunk, segment, document, dataset
-            )
+            content = args["content"]
+            child_chunk = SegmentService.update_child_chunk(content, child_chunk, segment, document, dataset)
         except ChildChunkIndexingServiceError as e:
             raise ChildChunkIndexingError(str(e))
         return {"data": marshal(child_chunk, child_chunk_fields)}, 200
diff --git a/api/controllers/console/datasets/external.py b/api/controllers/console/datasets/external.py
index e8f5a11b41..adf9f53523 100644
--- a/api/controllers/console/datasets/external.py
+++ b/api/controllers/console/datasets/external.py
@@ -1,3 +1,5 @@
+from typing import cast
+
 from flask import request
 from flask_login import current_user
 from flask_restx import Resource, fields, marshal, reqparse
@@ -9,13 +11,14 @@ from controllers.console.datasets.error import DatasetNameDuplicateError
 from controllers.console.wraps import account_initialization_required, setup_required
 from fields.dataset_fields import dataset_detail_fields
 from libs.login import login_required
+from models.account import Account
 from services.dataset_service import DatasetService
 from services.external_knowledge_service import ExternalDatasetService
 from services.hit_testing_service import HitTestingService
 from services.knowledge_service import ExternalDatasetTestService
 
 
-def _validate_name(name):
+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
@@ -274,7 +277,7 @@ class ExternalKnowledgeHitTestingApi(Resource):
             response = HitTestingService.external_retrieve(
                 dataset=dataset,
                 query=args["query"],
-                account=current_user,
+                account=cast(Account, current_user),
                 external_retrieval_model=args["external_retrieval_model"],
                 metadata_filtering_conditions=args["metadata_filtering_conditions"],
             )
diff --git a/api/controllers/console/datasets/hit_testing_base.py b/api/controllers/console/datasets/hit_testing_base.py
index cfbfc50873..a68e337135 100644
--- a/api/controllers/console/datasets/hit_testing_base.py
+++ b/api/controllers/console/datasets/hit_testing_base.py
@@ -1,10 +1,11 @@
 import logging
+from typing import cast
 
 from flask_login import current_user
 from flask_restx import marshal, reqparse
 from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
 
-import services.dataset_service
+import services
 from controllers.console.app.error import (
     CompletionRequestError,
     ProviderModelCurrentlyNotSupportError,
@@ -20,6 +21,7 @@ from core.errors.error import (
 )
 from core.model_runtime.errors.invoke import InvokeError
 from fields.hit_testing_fields import hit_testing_record_fields
+from models.account import Account
 from services.dataset_service import DatasetService
 from services.hit_testing_service import HitTestingService
 
@@ -59,7 +61,7 @@ class DatasetsHitTestingBase:
             response = HitTestingService.retrieve(
                 dataset=dataset,
                 query=args["query"],
-                account=current_user,
+                account=cast(Account, current_user),
                 retrieval_model=args["retrieval_model"],
                 external_retrieval_model=args["external_retrieval_model"],
                 limit=10,
diff --git a/api/controllers/console/datasets/metadata.py b/api/controllers/console/datasets/metadata.py
index 53dc80eaa5..dc3cd3fce9 100644
--- a/api/controllers/console/datasets/metadata.py
+++ b/api/controllers/console/datasets/metadata.py
@@ -62,6 +62,7 @@ class DatasetMetadataApi(Resource):
         parser = reqparse.RequestParser()
         parser.add_argument("name", type=str, required=True, nullable=False, location="json")
         args = parser.parse_args()
+        name = args["name"]
 
         dataset_id_str = str(dataset_id)
         metadata_id_str = str(metadata_id)
@@ -70,7 +71,7 @@ class DatasetMetadataApi(Resource):
             raise NotFound("Dataset not found.")
         DatasetService.check_dataset_permission(dataset, current_user)
 
-        metadata = MetadataService.update_metadata_name(dataset_id_str, metadata_id_str, args.get("name"))
+        metadata = MetadataService.update_metadata_name(dataset_id_str, metadata_id_str, name)
         return metadata, 200
 
     @setup_required
diff --git a/api/controllers/console/datasets/rag_pipeline/rag_pipeline.py b/api/controllers/console/datasets/rag_pipeline/rag_pipeline.py
index 6641911243..3af590afc8 100644
--- a/api/controllers/console/datasets/rag_pipeline/rag_pipeline.py
+++ b/api/controllers/console/datasets/rag_pipeline/rag_pipeline.py
@@ -20,13 +20,13 @@ from services.rag_pipeline.rag_pipeline import RagPipelineService
 logger = logging.getLogger(__name__)
 
 
-def _validate_name(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):
+def _validate_description_length(description: str) -> str:
     if len(description) > 400:
         raise ValueError("Description cannot exceed 400 characters.")
     return description
@@ -76,7 +76,7 @@ class CustomizedPipelineTemplateApi(Resource):
         )
         parser.add_argument(
             "description",
-            type=str,
+            type=_validate_description_length,
             nullable=True,
             required=False,
             default="",
@@ -133,7 +133,7 @@ class PublishCustomizedPipelineTemplateApi(Resource):
         )
         parser.add_argument(
             "description",
-            type=str,
+            type=_validate_description_length,
             nullable=True,
             required=False,
             default="",
diff --git a/api/controllers/console/datasets/rag_pipeline/rag_pipeline_datasets.py b/api/controllers/console/datasets/rag_pipeline/rag_pipeline_datasets.py
index c741bfbf82..404aa42073 100644
--- a/api/controllers/console/datasets/rag_pipeline/rag_pipeline_datasets.py
+++ b/api/controllers/console/datasets/rag_pipeline/rag_pipeline_datasets.py
@@ -1,5 +1,5 @@
-from flask_login import current_user  # type: ignore  # type: ignore
-from flask_restx import Resource, marshal, reqparse  # type: ignore
+from flask_login import current_user
+from flask_restx import Resource, marshal, reqparse
 from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden
 
@@ -20,18 +20,6 @@ from services.entities.knowledge_entities.rag_pipeline_entities import IconInfo,
 from services.rag_pipeline.rag_pipeline_dsl_service import RagPipelineDslService
 
 
-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
-
-
-def _validate_description_length(description):
-    if len(description) > 400:
-        raise ValueError("Description cannot exceed 400 characters.")
-    return description
-
-
 @console_ns.route("/rag/pipeline/dataset")
 class CreateRagPipelineDatasetApi(Resource):
     @setup_required
diff --git a/api/controllers/console/datasets/rag_pipeline/rag_pipeline_draft_variable.py b/api/controllers/console/datasets/rag_pipeline/rag_pipeline_draft_variable.py
index 38f75402a8..bef6bfd13e 100644
--- a/api/controllers/console/datasets/rag_pipeline/rag_pipeline_draft_variable.py
+++ b/api/controllers/console/datasets/rag_pipeline/rag_pipeline_draft_variable.py
@@ -1,5 +1,5 @@
 import logging
-from typing import Any, NoReturn
+from typing import NoReturn
 
 from flask import Response
 from flask_restx import Resource, fields, inputs, marshal, marshal_with, reqparse
@@ -11,14 +11,12 @@ from controllers.console.app.error import (
     DraftWorkflowNotExist,
 )
 from controllers.console.app.workflow_draft_variable import (
-    _WORKFLOW_DRAFT_VARIABLE_FIELDS,
-    _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS,
+    _WORKFLOW_DRAFT_VARIABLE_FIELDS,  # type: ignore[private-usage]
+    _WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS,  # type: ignore[private-usage]
 )
 from controllers.console.datasets.wraps import get_rag_pipeline
 from controllers.console.wraps import account_initialization_required, setup_required
 from controllers.web.error import InvalidArgumentError, NotFoundError
-from core.variables.segment_group import SegmentGroup
-from core.variables.segments import ArrayFileSegment, FileSegment, Segment
 from core.variables.types import SegmentType
 from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID
 from extensions.ext_database import db
@@ -34,32 +32,6 @@ from services.workflow_draft_variable_service import WorkflowDraftVariableList,
 logger = logging.getLogger(__name__)
 
 
-def _convert_values_to_json_serializable_object(value: Segment) -> Any:
-    if isinstance(value, FileSegment):
-        return value.value.model_dump()
-    elif isinstance(value, ArrayFileSegment):
-        return [i.model_dump() for i in value.value]
-    elif isinstance(value, SegmentGroup):
-        return [_convert_values_to_json_serializable_object(i) for i in value.value]
-    else:
-        return value.value
-
-
-def _serialize_var_value(variable: WorkflowDraftVariable) -> Any:
-    value = variable.get_value()
-    # create a copy of the value to avoid affecting the model cache.
-    value = value.model_copy(deep=True)
-    # Refresh the url signature before returning it to client.
-    if isinstance(value, FileSegment):
-        file = value.value
-        file.remote_url = file.generate_url()
-    elif isinstance(value, ArrayFileSegment):
-        files = value.value
-        for file in files:
-            file.remote_url = file.generate_url()
-    return _convert_values_to_json_serializable_object(value)
-
-
 def _create_pagination_parser():
     parser = reqparse.RequestParser()
     parser.add_argument(
@@ -104,7 +76,7 @@ def _api_prerequisite(f):
     @account_initialization_required
     @get_rag_pipeline
     def wrapper(*args, **kwargs):
-        if not isinstance(current_user, Account) or not current_user.is_editor:
+        if not isinstance(current_user, Account) or not current_user.has_edit_permission:
             raise Forbidden()
         return f(*args, **kwargs)
 
diff --git a/api/controllers/console/tag/tags.py b/api/controllers/console/tag/tags.py
index da236ee5af..3d29b3ee61 100644
--- a/api/controllers/console/tag/tags.py
+++ b/api/controllers/console/tag/tags.py
@@ -3,7 +3,7 @@ from flask_login import current_user
 from flask_restx import Resource, marshal_with, reqparse
 from werkzeug.exceptions import Forbidden
 
-from controllers.console import api
+from controllers.console import console_ns
 from controllers.console.wraps import account_initialization_required, setup_required
 from fields.tag_fields import dataset_tag_fields
 from libs.login import login_required
@@ -17,6 +17,7 @@ def _validate_name(name):
     return name
 
 
+@console_ns.route("/tags")
 class TagListApi(Resource):
     @setup_required
     @login_required
@@ -52,6 +53,7 @@ class TagListApi(Resource):
         return response, 200
 
 
+@console_ns.route("/tags/<uuid:tag_id>")
 class TagUpdateDeleteApi(Resource):
     @setup_required
     @login_required
@@ -89,6 +91,7 @@ class TagUpdateDeleteApi(Resource):
         return 204
 
 
+@console_ns.route("/tag-bindings/create")
 class TagBindingCreateApi(Resource):
     @setup_required
     @login_required
@@ -114,6 +117,7 @@ class TagBindingCreateApi(Resource):
         return {"result": "success"}, 200
 
 
+@console_ns.route("/tag-bindings/remove")
 class TagBindingDeleteApi(Resource):
     @setup_required
     @login_required
@@ -133,9 +137,3 @@ class TagBindingDeleteApi(Resource):
         TagService.delete_tag_binding(args)
 
         return {"result": "success"}, 200
-
-
-api.add_resource(TagListApi, "/tags")
-api.add_resource(TagUpdateDeleteApi, "/tags/<uuid:tag_id>")
-api.add_resource(TagBindingCreateApi, "/tag-bindings/create")
-api.add_resource(TagBindingDeleteApi, "/tag-bindings/remove")
diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py
index 6a70345f7c..72ab05cec0 100644
--- a/api/controllers/service_api/dataset/dataset.py
+++ b/api/controllers/service_api/dataset/dataset.py
@@ -1,10 +1,10 @@
-from typing import Literal
+from typing import Any, Literal, cast
 
 from flask import request
 from flask_restx import marshal, reqparse
 from werkzeug.exceptions import Forbidden, NotFound
 
-import services.dataset_service
+import services
 from controllers.service_api import service_api_ns
 from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError, InvalidActionError
 from controllers.service_api.wraps import (
@@ -254,19 +254,21 @@ class DatasetListApi(DatasetApiResource):
         """Resource for creating datasets."""
         args = dataset_create_parser.parse_args()
 
-        if args.get("embedding_model_provider"):
-            DatasetService.check_embedding_model_setting(
-                tenant_id, args.get("embedding_model_provider"), args.get("embedding_model")
-            )
+        embedding_model_provider = args.get("embedding_model_provider")
+        embedding_model = args.get("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")
         if (
-            args.get("retrieval_model")
-            and args.get("retrieval_model").get("reranking_model")
-            and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name")
+            retrieval_model
+            and retrieval_model.get("reranking_model")
+            and retrieval_model.get("reranking_model").get("reranking_provider_name")
         ):
             DatasetService.check_reranking_model_setting(
                 tenant_id,
-                args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"),
-                args.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
+                retrieval_model.get("reranking_model").get("reranking_provider_name"),
+                retrieval_model.get("reranking_model").get("reranking_model_name"),
             )
 
         try:
@@ -317,7 +319,7 @@ class DatasetApi(DatasetApiResource):
             DatasetService.check_dataset_permission(dataset, current_user)
         except services.errors.account.NoPermissionError as e:
             raise Forbidden(str(e))
-        data = marshal(dataset, dataset_detail_fields)
+        data = cast(dict[str, Any], marshal(dataset, dataset_detail_fields))
         # check embedding setting
         provider_manager = ProviderManager()
         assert isinstance(current_user, Account)
@@ -331,8 +333,8 @@ class DatasetApi(DatasetApiResource):
         for embedding_model in embedding_models:
             model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}")
 
-        if data["indexing_technique"] == "high_quality":
-            item_model = f"{data['embedding_model']}:{data['embedding_model_provider']}"
+        if data.get("indexing_technique") == "high_quality":
+            item_model = f"{data.get('embedding_model')}:{data.get('embedding_model_provider')}"
             if item_model in model_names:
                 data["embedding_available"] = True
             else:
@@ -341,7 +343,9 @@ class DatasetApi(DatasetApiResource):
             data["embedding_available"] = True
 
             # force update search method to keyword_search if indexing_technique is economic
-            data["retrieval_model_dict"]["search_method"] = "keyword_search"
+            retrieval_model_dict = data.get("retrieval_model_dict")
+            if retrieval_model_dict:
+                retrieval_model_dict["search_method"] = "keyword_search"
 
         if data.get("permission") == "partial_members":
             part_users_list = DatasetPermissionService.get_dataset_partial_member_list(dataset_id_str)
@@ -372,19 +376,24 @@ class DatasetApi(DatasetApiResource):
         data = request.get_json()
 
         # check embedding model setting
-        if data.get("indexing_technique") == "high_quality" or data.get("embedding_model_provider"):
-            DatasetService.check_embedding_model_setting(
-                dataset.tenant_id, data.get("embedding_model_provider"), data.get("embedding_model")
-            )
+        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:
+            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")
         if (
-            data.get("retrieval_model")
-            and data.get("retrieval_model").get("reranking_model")
-            and data.get("retrieval_model").get("reranking_model").get("reranking_provider_name")
+            retrieval_model
+            and retrieval_model.get("reranking_model")
+            and retrieval_model.get("reranking_model").get("reranking_provider_name")
         ):
             DatasetService.check_reranking_model_setting(
                 dataset.tenant_id,
-                data.get("retrieval_model").get("reranking_model").get("reranking_provider_name"),
-                data.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
+                retrieval_model.get("reranking_model").get("reranking_provider_name"),
+                retrieval_model.get("reranking_model").get("reranking_model_name"),
             )
 
         # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator
@@ -397,7 +406,7 @@ class DatasetApi(DatasetApiResource):
         if dataset is None:
             raise NotFound("Dataset not found.")
 
-        result_data = marshal(dataset, dataset_detail_fields)
+        result_data = cast(dict[str, Any], marshal(dataset, dataset_detail_fields))
         assert isinstance(current_user, Account)
         tenant_id = current_user.current_tenant_id
 
@@ -591,9 +600,10 @@ class DatasetTagsApi(DatasetApiResource):
 
         args = tag_update_parser.parse_args()
         args["type"] = "knowledge"
-        tag = TagService.update_tags(args, args.get("tag_id"))
+        tag_id = args["tag_id"]
+        tag = TagService.update_tags(args, tag_id)
 
-        binding_count = TagService.get_tag_binding_count(args.get("tag_id"))
+        binding_count = TagService.get_tag_binding_count(tag_id)
 
         response = {"id": tag.id, "name": tag.name, "type": tag.type, "binding_count": binding_count}
 
@@ -616,7 +626,7 @@ class DatasetTagsApi(DatasetApiResource):
         if not current_user.has_edit_permission:
             raise Forbidden()
         args = tag_delete_parser.parse_args()
-        TagService.delete_tag(args.get("tag_id"))
+        TagService.delete_tag(args["tag_id"])
 
         return 204
 
diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py
index e01bc8940c..c1122acd7b 100644
--- a/api/controllers/service_api/dataset/document.py
+++ b/api/controllers/service_api/dataset/document.py
@@ -108,19 +108,21 @@ class DocumentAddByTextApi(DatasetApiResource):
         if text is None or name is None:
             raise ValueError("Both 'text' and 'name' must be non-null values.")
 
-        if args.get("embedding_model_provider"):
-            DatasetService.check_embedding_model_setting(
-                tenant_id, args.get("embedding_model_provider"), args.get("embedding_model")
-            )
+        embedding_model_provider = args.get("embedding_model_provider")
+        embedding_model = args.get("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")
         if (
-            args.get("retrieval_model")
-            and args.get("retrieval_model").get("reranking_model")
-            and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name")
+            retrieval_model
+            and retrieval_model.get("reranking_model")
+            and retrieval_model.get("reranking_model").get("reranking_provider_name")
         ):
             DatasetService.check_reranking_model_setting(
                 tenant_id,
-                args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"),
-                args.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
+                retrieval_model.get("reranking_model").get("reranking_provider_name"),
+                retrieval_model.get("reranking_model").get("reranking_model_name"),
             )
 
         if not current_user:
@@ -187,15 +189,16 @@ class DocumentUpdateByTextApi(DatasetApiResource):
         if not dataset:
             raise ValueError("Dataset does not exist.")
 
+        retrieval_model = args.get("retrieval_model")
         if (
-            args.get("retrieval_model")
-            and args.get("retrieval_model").get("reranking_model")
-            and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name")
+            retrieval_model
+            and retrieval_model.get("reranking_model")
+            and retrieval_model.get("reranking_model").get("reranking_provider_name")
         ):
             DatasetService.check_reranking_model_setting(
                 tenant_id,
-                args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"),
-                args.get("retrieval_model").get("reranking_model").get("reranking_model_name"),
+                retrieval_model.get("reranking_model").get("reranking_provider_name"),
+                retrieval_model.get("reranking_model").get("reranking_model_name"),
             )
 
         # indexing_technique is already set in dataset since this is an update
diff --git a/api/controllers/service_api/dataset/metadata.py b/api/controllers/service_api/dataset/metadata.py
index c6032048e6..e01659dc68 100644
--- a/api/controllers/service_api/dataset/metadata.py
+++ b/api/controllers/service_api/dataset/metadata.py
@@ -106,7 +106,7 @@ 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.get("name"))
+        metadata = MetadataService.update_metadata_name(dataset_id_str, metadata_id_str, args["name"])
         return marshal(metadata, dataset_metadata_fields), 200
 
     @service_api_ns.doc("delete_dataset_metadata")
diff --git a/api/core/tools/utils/dataset_retriever/dataset_retriever_base_tool.py b/api/core/tools/utils/dataset_retriever/dataset_retriever_base_tool.py
index ac2967d0c1..dd0b4bedcf 100644
--- a/api/core/tools/utils/dataset_retriever/dataset_retriever_base_tool.py
+++ b/api/core/tools/utils/dataset_retriever/dataset_retriever_base_tool.py
@@ -18,6 +18,10 @@ class DatasetRetrieverBaseTool(BaseModel, ABC):
     retriever_from: str
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
+    def run(self, query: str) -> str:
+        """Use the tool."""
+        return self._run(query)
+
     @abstractmethod
     def _run(self, query: str) -> str:
         """Use the tool.
diff --git a/api/core/tools/utils/dataset_retriever_tool.py b/api/core/tools/utils/dataset_retriever_tool.py
index a62d419243..fca6e6f1c7 100644
--- a/api/core/tools/utils/dataset_retriever_tool.py
+++ b/api/core/tools/utils/dataset_retriever_tool.py
@@ -124,7 +124,7 @@ class DatasetRetrieverTool(Tool):
             yield self.create_text_message(text="please input query")
         else:
             # invoke dataset retriever tool
-            result = self.retrieval_tool._run(query=query)
+            result = self.retrieval_tool.run(query=query)
             yield self.create_text_message(text=result)
 
     def validate_credentials(
diff --git a/api/core/tools/utils/parser.py b/api/core/tools/utils/parser.py
index 2e306db6c7..fcb1d325af 100644
--- a/api/core/tools/utils/parser.py
+++ b/api/core/tools/utils/parser.py
@@ -2,6 +2,7 @@ import re
 from json import dumps as json_dumps
 from json import loads as json_loads
 from json.decoder import JSONDecodeError
+from typing import Any
 
 from flask import request
 from requests import get
@@ -127,34 +128,34 @@ class ApiBasedToolSchemaParser:
                                 if "allOf" in prop_dict:
                                     del prop_dict["allOf"]
 
-                    # parse body parameters
-                    if "schema" in interface["operation"]["requestBody"]["content"][content_type]:
-                        body_schema = interface["operation"]["requestBody"]["content"][content_type]["schema"]
-                        required = body_schema.get("required", [])
-                        properties = body_schema.get("properties", {})
-                        for name, property in properties.items():
-                            tool = ToolParameter(
-                                name=name,
-                                label=I18nObject(en_US=name, zh_Hans=name),
-                                human_description=I18nObject(
-                                    en_US=property.get("description", ""), zh_Hans=property.get("description", "")
-                                ),
-                                type=ToolParameter.ToolParameterType.STRING,
-                                required=name in required,
-                                form=ToolParameter.ToolParameterForm.LLM,
-                                llm_description=property.get("description", ""),
-                                default=property.get("default", None),
-                                placeholder=I18nObject(
-                                    en_US=property.get("description", ""), zh_Hans=property.get("description", "")
-                                ),
-                            )
+                        # parse body parameters
+                        if "schema" in interface["operation"]["requestBody"]["content"][content_type]:
+                            body_schema = interface["operation"]["requestBody"]["content"][content_type]["schema"]
+                            required = body_schema.get("required", [])
+                            properties = body_schema.get("properties", {})
+                            for name, property in properties.items():
+                                tool = ToolParameter(
+                                    name=name,
+                                    label=I18nObject(en_US=name, zh_Hans=name),
+                                    human_description=I18nObject(
+                                        en_US=property.get("description", ""), zh_Hans=property.get("description", "")
+                                    ),
+                                    type=ToolParameter.ToolParameterType.STRING,
+                                    required=name in required,
+                                    form=ToolParameter.ToolParameterForm.LLM,
+                                    llm_description=property.get("description", ""),
+                                    default=property.get("default", None),
+                                    placeholder=I18nObject(
+                                        en_US=property.get("description", ""), zh_Hans=property.get("description", "")
+                                    ),
+                                )
 
-                            # check if there is a type
-                            typ = ApiBasedToolSchemaParser._get_tool_parameter_type(property)
-                            if typ:
-                                tool.type = typ
+                                # check if there is a type
+                                typ = ApiBasedToolSchemaParser._get_tool_parameter_type(property)
+                                if typ:
+                                    tool.type = typ
 
-                            parameters.append(tool)
+                                parameters.append(tool)
 
             # check if parameters is duplicated
             parameters_count = {}
@@ -241,7 +242,9 @@ class ApiBasedToolSchemaParser:
         return ApiBasedToolSchemaParser.parse_openapi_to_tool_bundle(openapi, extra_info=extra_info, warning=warning)
 
     @staticmethod
-    def parse_swagger_to_openapi(swagger: dict, extra_info: dict | None = None, warning: dict | None = None):
+    def parse_swagger_to_openapi(
+        swagger: dict, extra_info: dict | None = None, warning: dict | None = None
+    ) -> dict[str, Any]:
         warning = warning or {}
         """
         parse swagger to openapi
@@ -257,7 +260,7 @@ class ApiBasedToolSchemaParser:
         if len(servers) == 0:
             raise ToolApiSchemaError("No server found in the swagger yaml.")
 
-        openapi = {
+        converted_openapi: dict[str, Any] = {
             "openapi": "3.0.0",
             "info": {
                 "title": info.get("title", "Swagger"),
@@ -275,7 +278,7 @@ class ApiBasedToolSchemaParser:
 
         # convert paths
         for path, path_item in swagger["paths"].items():
-            openapi["paths"][path] = {}
+            converted_openapi["paths"][path] = {}
             for method, operation in path_item.items():
                 if "operationId" not in operation:
                     raise ToolApiSchemaError(f"No operationId found in operation {method} {path}.")
@@ -286,7 +289,7 @@ class ApiBasedToolSchemaParser:
                     if warning is not None:
                         warning["missing_summary"] = f"No summary or description found in operation {method} {path}."
 
-                openapi["paths"][path][method] = {
+                converted_openapi["paths"][path][method] = {
                     "operationId": operation["operationId"],
                     "summary": operation.get("summary", ""),
                     "description": operation.get("description", ""),
@@ -295,13 +298,14 @@ class ApiBasedToolSchemaParser:
                 }
 
                 if "requestBody" in operation:
-                    openapi["paths"][path][method]["requestBody"] = operation["requestBody"]
+                    converted_openapi["paths"][path][method]["requestBody"] = operation["requestBody"]
 
         # convert definitions
-        for name, definition in swagger["definitions"].items():
-            openapi["components"]["schemas"][name] = definition
+        if "definitions" in swagger:
+            for name, definition in swagger["definitions"].items():
+                converted_openapi["components"]["schemas"][name] = definition
 
-        return openapi
+        return converted_openapi
 
     @staticmethod
     def parse_openai_plugin_json_to_tool_bundle(
diff --git a/api/core/workflow/entities/variable_pool.py b/api/core/workflow/entities/variable_pool.py
index 8ceabde7e6..2dc00fd70b 100644
--- a/api/core/workflow/entities/variable_pool.py
+++ b/api/core/workflow/entities/variable_pool.py
@@ -184,11 +184,22 @@ class VariablePool(BaseModel):
         """Extract the actual value from an ObjectSegment."""
         return obj.value if isinstance(obj, ObjectSegment) else obj
 
-    def _get_nested_attribute(self, obj: Mapping[str, Any], attr: str):
-        """Get a nested attribute from a dictionary-like object."""
-        if not isinstance(obj, dict):
+    def _get_nested_attribute(self, obj: Mapping[str, Any], attr: str) -> Segment | None:
+        """
+        Get a nested attribute from a dictionary-like object.
+
+        Args:
+            obj: The dictionary-like object to search.
+            attr: The key to look up.
+
+        Returns:
+            Segment | None:
+                The corresponding Segment built from the attribute value if the key exists,
+                otherwise None.
+        """
+        if not isinstance(obj, dict) or attr not in obj:
             return None
-        return obj.get(attr)
+        return variable_factory.build_segment(obj.get(attr))
 
     def remove(self, selector: Sequence[str], /):
         """
diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py
index 1a417b5739..a05a6b1b96 100644
--- a/api/core/workflow/nodes/iteration/iteration_node.py
+++ b/api/core/workflow/nodes/iteration/iteration_node.py
@@ -10,6 +10,8 @@ from typing_extensions import TypeIs
 
 from core.variables import IntegerVariable, NoneSegment
 from core.variables.segments import ArrayAnySegment, ArraySegment
+from core.variables.variables import VariableUnion
+from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID
 from core.workflow.entities import VariablePool
 from core.workflow.enums import (
     ErrorStrategy,
@@ -217,6 +219,13 @@ class IterationNode(Node):
                     graph_engine=graph_engine,
                 )
 
+                # Sync conversation variables after each iteration completes
+                self._sync_conversation_variables_from_snapshot(
+                    self._extract_conversation_variable_snapshot(
+                        variable_pool=graph_engine.graph_runtime_state.variable_pool
+                    )
+                )
+
                 # Update the total tokens from this iteration
                 self.graph_runtime_state.total_tokens += graph_engine.graph_runtime_state.total_tokens
                 iter_run_map[str(index)] = (datetime.now(UTC).replace(tzinfo=None) - iter_start_at).total_seconds()
@@ -235,7 +244,10 @@ class IterationNode(Node):
 
         with ThreadPoolExecutor(max_workers=max_workers) as executor:
             # Submit all iteration tasks
-            future_to_index: dict[Future[tuple[datetime, list[GraphNodeEventBase], object | None, int]], int] = {}
+            future_to_index: dict[
+                Future[tuple[datetime, list[GraphNodeEventBase], object | None, int, dict[str, VariableUnion]]],
+                int,
+            ] = {}
             for index, item in enumerate(iterator_list_value):
                 yield IterationNextEvent(index=index)
                 future = executor.submit(
@@ -252,7 +264,7 @@ class IterationNode(Node):
                 index = future_to_index[future]
                 try:
                     result = future.result()
-                    iter_start_at, events, output_value, tokens_used = result
+                    iter_start_at, events, output_value, tokens_used, conversation_snapshot = result
 
                     # Update outputs at the correct index
                     outputs[index] = output_value
@@ -264,6 +276,9 @@ class IterationNode(Node):
                     self.graph_runtime_state.total_tokens += tokens_used
                     iter_run_map[str(index)] = (datetime.now(UTC).replace(tzinfo=None) - iter_start_at).total_seconds()
 
+                    # Sync conversation variables after iteration completion
+                    self._sync_conversation_variables_from_snapshot(conversation_snapshot)
+
                 except Exception as e:
                     # Handle errors based on error_handle_mode
                     match self._node_data.error_handle_mode:
@@ -288,7 +303,7 @@ class IterationNode(Node):
         item: object,
         flask_app: Flask,
         context_vars: contextvars.Context,
-    ) -> tuple[datetime, list[GraphNodeEventBase], object | None, int]:
+    ) -> tuple[datetime, list[GraphNodeEventBase], object | None, int, dict[str, VariableUnion]]:
         """Execute a single iteration in parallel mode and return results."""
         with preserve_flask_contexts(flask_app=flask_app, context_vars=context_vars):
             iter_start_at = datetime.now(UTC).replace(tzinfo=None)
@@ -307,8 +322,17 @@ class IterationNode(Node):
 
             # Get the output value from the temporary outputs list
             output_value = outputs_temp[0] if outputs_temp else None
+            conversation_snapshot = self._extract_conversation_variable_snapshot(
+                variable_pool=graph_engine.graph_runtime_state.variable_pool
+            )
 
-            return iter_start_at, events, output_value, graph_engine.graph_runtime_state.total_tokens
+            return (
+                iter_start_at,
+                events,
+                output_value,
+                graph_engine.graph_runtime_state.total_tokens,
+                conversation_snapshot,
+            )
 
     def _handle_iteration_success(
         self,
@@ -430,6 +454,23 @@ class IterationNode(Node):
 
         return variable_mapping
 
+    def _extract_conversation_variable_snapshot(self, *, variable_pool: VariablePool) -> dict[str, VariableUnion]:
+        conversation_variables = variable_pool.variable_dictionary.get(CONVERSATION_VARIABLE_NODE_ID, {})
+        return {name: variable.model_copy(deep=True) for name, variable in conversation_variables.items()}
+
+    def _sync_conversation_variables_from_snapshot(self, snapshot: dict[str, VariableUnion]) -> None:
+        parent_pool = self.graph_runtime_state.variable_pool
+        parent_conversations = parent_pool.variable_dictionary.get(CONVERSATION_VARIABLE_NODE_ID, {})
+
+        current_keys = set(parent_conversations.keys())
+        snapshot_keys = set(snapshot.keys())
+
+        for removed_key in current_keys - snapshot_keys:
+            parent_pool.remove((CONVERSATION_VARIABLE_NODE_ID, removed_key))
+
+        for name, variable in snapshot.items():
+            parent_pool.add((CONVERSATION_VARIABLE_NODE_ID, name), variable)
+
     def _append_iteration_info_to_event(
         self,
         event: GraphNodeEventBase,
diff --git a/api/extensions/ext_celery.py b/api/extensions/ext_celery.py
index febf744369..ccb1c78f4e 100644
--- a/api/extensions/ext_celery.py
+++ b/api/extensions/ext_celery.py
@@ -147,6 +147,7 @@ def init_app(app: DifyApp) -> Celery:
         }
     if dify_config.ENABLE_CHECK_UPGRADABLE_PLUGIN_TASK and dify_config.MARKETPLACE_ENABLED:
         imports.append("schedule.check_upgradable_plugin_task")
+        imports.append("tasks.process_tenant_plugin_autoupgrade_check_task")
         beat_schedule["check_upgradable_plugin_task"] = {
             "task": "schedule.check_upgradable_plugin_task.check_upgradable_plugin_task",
             "schedule": crontab(minute="*/15"),
diff --git a/api/factories/variable_factory.py b/api/factories/variable_factory.py
index 2104e66254..494194369a 100644
--- a/api/factories/variable_factory.py
+++ b/api/factories/variable_factory.py
@@ -142,6 +142,8 @@ def build_segment(value: Any, /) -> Segment:
     # below
     if value is None:
         return NoneSegment()
+    if isinstance(value, Segment):
+        return value
     if isinstance(value, str):
         return StringSegment(value=value)
     if isinstance(value, bool):
diff --git a/api/libs/external_api.py b/api/libs/external_api.py
index cf91b0117f..25a82f8a96 100644
--- a/api/libs/external_api.py
+++ b/api/libs/external_api.py
@@ -94,7 +94,7 @@ def register_external_error_handlers(api: Api):
         got_request_exception.send(current_app, exception=e)
 
         status_code = 500
-        data = getattr(e, "data", {"message": http_status_message(status_code)})
+        data: dict[str, Any] = getattr(e, "data", {"message": http_status_message(status_code)})
 
         # 🔒 Normalize non-mapping data (e.g., if someone set e.data = Response)
         if not isinstance(data, dict):
diff --git a/api/libs/gmpy2_pkcs10aep_cipher.py b/api/libs/gmpy2_pkcs10aep_cipher.py
index 9759156c0f..fc38d51005 100644
--- a/api/libs/gmpy2_pkcs10aep_cipher.py
+++ b/api/libs/gmpy2_pkcs10aep_cipher.py
@@ -27,7 +27,7 @@ import gmpy2  # type: ignore
 from Crypto import Random
 from Crypto.Signature.pss import MGF1
 from Crypto.Util.number import bytes_to_long, ceil_div, long_to_bytes
-from Crypto.Util.py3compat import _copy_bytes, bord
+from Crypto.Util.py3compat import bord
 from Crypto.Util.strxor import strxor
 
 
@@ -72,7 +72,7 @@ class PKCS1OAepCipher:
         else:
             self._mgf = lambda x, y: MGF1(x, y, self._hashObj)
 
-        self._label = _copy_bytes(None, None, label)
+        self._label = bytes(label)
         self._randfunc = randfunc
 
     def can_encrypt(self):
@@ -120,7 +120,7 @@ class PKCS1OAepCipher:
         # Step 2b
         ps = b"\x00" * ps_len
         # Step 2c
-        db = lHash + ps + b"\x01" + _copy_bytes(None, None, message)
+        db = lHash + ps + b"\x01" + bytes(message)
         # Step 2d
         ros = self._randfunc(hLen)
         # Step 2e
diff --git a/api/libs/sendgrid.py b/api/libs/sendgrid.py
index ecc4b3fb98..a270fa70fa 100644
--- a/api/libs/sendgrid.py
+++ b/api/libs/sendgrid.py
@@ -14,7 +14,7 @@ class SendGridClient:
 
     def send(self, mail: dict):
         logger.debug("Sending email with SendGrid")
-
+        _to = ""
         try:
             _to = mail["to"]
 
@@ -28,7 +28,7 @@ class SendGridClient:
             content = Content("text/html", mail["html"])
             sg_mail = Mail(from_email, to_email, subject, content)
             mail_json = sg_mail.get()
-            response = sg.client.mail.send.post(request_body=mail_json)  # ty: ignore [call-non-callable]
+            response = sg.client.mail.send.post(request_body=mail_json)  # type: ignore
             logger.debug(response.status_code)
             logger.debug(response.body)
             logger.debug(response.headers)
diff --git a/api/pyproject.toml b/api/pyproject.toml
index 319c9a23a6..fb8a035118 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "dify-api"
-version = "1.9.0"
+version = "1.9.1"
 requires-python = ">=3.11,<3.13"
 
 dependencies = [
@@ -181,7 +181,7 @@ dev = [
 storage = [
     "azure-storage-blob==12.13.0",
     "bce-python-sdk~=0.9.23",
-    "cos-python-sdk-v5==1.9.30",
+    "cos-python-sdk-v5==1.9.38",
     "esdk-obs-python==3.24.6.1",
     "google-cloud-storage==2.16.0",
     "opendal~=0.46.0",
@@ -208,7 +208,7 @@ vdb = [
     "couchbase~=4.3.0",
     "elasticsearch==8.14.0",
     "opensearch-py==2.4.0",
-    "oracledb==3.0.0",
+    "oracledb==3.3.0",
     "pgvecto-rs[sqlalchemy]~=0.2.1",
     "pgvector==0.2.5",
     "pymilvus~=2.5.0",
diff --git a/api/pyrightconfig.json b/api/pyrightconfig.json
index 61ed3ac3b4..1e6cd501ad 100644
--- a/api/pyrightconfig.json
+++ b/api/pyrightconfig.json
@@ -6,11 +6,7 @@
     "migrations/",
     "core/rag",
     "extensions",
-    "libs",
-    "controllers/console/datasets",
-    "controllers/service_api/dataset",
     "core/ops",
-    "core/tools",
     "core/model_runtime",
     "core/workflow/nodes",
     "core/app/app_config/easy_ui_based_app/dataset"
diff --git a/api/schedule/check_upgradable_plugin_task.py b/api/schedule/check_upgradable_plugin_task.py
index a9ad27b059..0712100c01 100644
--- a/api/schedule/check_upgradable_plugin_task.py
+++ b/api/schedule/check_upgradable_plugin_task.py
@@ -6,7 +6,7 @@ import click
 import app
 from extensions.ext_database import db
 from models.account import TenantPluginAutoUpgradeStrategy
-from tasks.process_tenant_plugin_autoupgrade_check_task import process_tenant_plugin_autoupgrade_check_task
+from tasks import process_tenant_plugin_autoupgrade_check_task as check_task
 
 AUTO_UPGRADE_MINIMAL_CHECKING_INTERVAL = 15 * 60  # 15 minutes
 MAX_CONCURRENT_CHECK_TASKS = 20
@@ -43,7 +43,7 @@ def check_upgradable_plugin_task():
     for i in range(0, total_strategies, MAX_CONCURRENT_CHECK_TASKS):
         batch_strategies = strategies[i : i + MAX_CONCURRENT_CHECK_TASKS]
         for strategy in batch_strategies:
-            process_tenant_plugin_autoupgrade_check_task.delay(
+            check_task.process_tenant_plugin_autoupgrade_check_task.delay(
                 strategy.tenant_id,
                 strategy.strategy_setting,
                 strategy.upgrade_time_of_day,
diff --git a/api/tasks/process_tenant_plugin_autoupgrade_check_task.py b/api/tasks/process_tenant_plugin_autoupgrade_check_task.py
index bae8f1c4db..124971e8e2 100644
--- a/api/tasks/process_tenant_plugin_autoupgrade_check_task.py
+++ b/api/tasks/process_tenant_plugin_autoupgrade_check_task.py
@@ -1,5 +1,5 @@
+import json
 import operator
-import traceback
 import typing
 
 import click
@@ -9,38 +9,106 @@ from core.helper import marketplace
 from core.helper.marketplace import MarketplacePluginDeclaration
 from core.plugin.entities.plugin import PluginInstallationSource
 from core.plugin.impl.plugin import PluginInstaller
+from extensions.ext_redis import redis_client
 from models.account import TenantPluginAutoUpgradeStrategy
 
 RETRY_TIMES_OF_ONE_PLUGIN_IN_ONE_TENANT = 3
+CACHE_REDIS_KEY_PREFIX = "plugin_autoupgrade_check_task:cached_plugin_manifests:"
+CACHE_REDIS_TTL = 60 * 15  # 15 minutes
 
 
-cached_plugin_manifests: dict[str, typing.Union[MarketplacePluginDeclaration, None]] = {}
+def _get_redis_cache_key(plugin_id: str) -> str:
+    """Generate Redis cache key for plugin manifest."""
+    return f"{CACHE_REDIS_KEY_PREFIX}{plugin_id}"
+
+
+def _get_cached_manifest(plugin_id: str) -> typing.Union[MarketplacePluginDeclaration, None, bool]:
+    """
+    Get cached plugin manifest from Redis.
+    Returns:
+        - MarketplacePluginDeclaration: if found in cache
+        - None: if cached as not found (marketplace returned no result)
+        - False: if not in cache at all
+    """
+    try:
+        key = _get_redis_cache_key(plugin_id)
+        cached_data = redis_client.get(key)
+        if cached_data is None:
+            return False
+
+        cached_json = json.loads(cached_data)
+        if cached_json is None:
+            return None
+
+        return MarketplacePluginDeclaration.model_validate(cached_json)
+    except Exception:
+        return False
+
+
+def _set_cached_manifest(plugin_id: str, manifest: typing.Union[MarketplacePluginDeclaration, None]) -> None:
+    """
+    Cache plugin manifest in Redis.
+    Args:
+        plugin_id: The plugin ID
+        manifest: The manifest to cache, or None if not found in marketplace
+    """
+    try:
+        key = _get_redis_cache_key(plugin_id)
+        if manifest is None:
+            # Cache the fact that this plugin was not found
+            redis_client.setex(key, CACHE_REDIS_TTL, json.dumps(None))
+        else:
+            # Cache the manifest data
+            redis_client.setex(key, CACHE_REDIS_TTL, manifest.model_dump_json())
+    except Exception:
+        # If Redis fails, continue without caching
+        # traceback.print_exc()
+        pass
 
 
 def marketplace_batch_fetch_plugin_manifests(
     plugin_ids_plain_list: list[str],
 ) -> list[MarketplacePluginDeclaration]:
-    global cached_plugin_manifests
-    # return marketplace.batch_fetch_plugin_manifests(plugin_ids_plain_list)
-    not_included_plugin_ids = [
-        plugin_id for plugin_id in plugin_ids_plain_list if plugin_id not in cached_plugin_manifests
-    ]
-    if not_included_plugin_ids:
-        manifests = marketplace.batch_fetch_plugin_manifests_ignore_deserialization_error(not_included_plugin_ids)
+    """Fetch plugin manifests with Redis caching support."""
+    cached_manifests: dict[str, typing.Union[MarketplacePluginDeclaration, None]] = {}
+    not_cached_plugin_ids: list[str] = []
+
+    # Check Redis cache for each plugin
+    for plugin_id in plugin_ids_plain_list:
+        cached_result = _get_cached_manifest(plugin_id)
+        if cached_result is False:
+            # Not in cache, need to fetch
+            not_cached_plugin_ids.append(plugin_id)
+        else:
+            # Either found manifest or cached as None (not found in marketplace)
+            # At this point, cached_result is either MarketplacePluginDeclaration or None
+            if isinstance(cached_result, bool):
+                # This should never happen due to the if condition above, but for type safety
+                continue
+            cached_manifests[plugin_id] = cached_result
+
+    # Fetch uncached plugins from marketplace
+    if not_cached_plugin_ids:
+        manifests = marketplace.batch_fetch_plugin_manifests_ignore_deserialization_error(not_cached_plugin_ids)
+
+        # Cache the fetched manifests
         for manifest in manifests:
-            cached_plugin_manifests[manifest.plugin_id] = manifest
+            cached_manifests[manifest.plugin_id] = manifest
+            _set_cached_manifest(manifest.plugin_id, manifest)
 
-        if (
-            len(manifests) == 0
-        ):  # this indicates that the plugin not found in marketplace, should set None in cache to prevent future check
-            for plugin_id in not_included_plugin_ids:
-                cached_plugin_manifests[plugin_id] = None
+        # Cache plugins that were not found in marketplace
+        fetched_plugin_ids = {manifest.plugin_id for manifest in manifests}
+        for plugin_id in not_cached_plugin_ids:
+            if plugin_id not in fetched_plugin_ids:
+                cached_manifests[plugin_id] = None
+                _set_cached_manifest(plugin_id, None)
 
+    # Build result list from cached manifests
     result: list[MarketplacePluginDeclaration] = []
     for plugin_id in plugin_ids_plain_list:
-        final_manifest = cached_plugin_manifests.get(plugin_id)
-        if final_manifest is not None:
-            result.append(final_manifest)
+        cached_manifest: typing.Union[MarketplacePluginDeclaration, None] = cached_manifests.get(plugin_id)
+        if cached_manifest is not None:
+            result.append(cached_manifest)
 
     return result
 
@@ -157,10 +225,10 @@ def process_tenant_plugin_autoupgrade_check_task(
                         )
                 except Exception as e:
                     click.echo(click.style(f"Error when upgrading plugin: {e}", fg="red"))
-                    traceback.print_exc()
+                    # traceback.print_exc()
                 break
 
     except Exception as e:
         click.echo(click.style(f"Error when checking upgradable plugin: {e}", fg="red"))
-        traceback.print_exc()
+        # traceback.print_exc()
         return
diff --git a/api/tests/fixtures/workflow/update-conversation-variable-in-iteration.yml b/api/tests/fixtures/workflow/update-conversation-variable-in-iteration.yml
new file mode 100644
index 0000000000..ffc6eb9120
--- /dev/null
+++ b/api/tests/fixtures/workflow/update-conversation-variable-in-iteration.yml
@@ -0,0 +1,316 @@
+app:
+  description: 'This chatflow receives a sys.query, writes it into the `answer` variable,
+    and then outputs the `answer` variable.
+
+
+    `answer` is a conversation variable with a blank default value; it will be updated
+    in an iteration node.
+
+
+    if this chatflow works correctly, it will output the `sys.query` as the same.'
+  icon: 🤖
+  icon_background: '#FFEAD5'
+  mode: advanced-chat
+  name: update-conversation-variable-in-iteration
+  use_icon_as_answer_icon: false
+dependencies: []
+kind: app
+version: 0.4.0
+workflow:
+  conversation_variables:
+  - description: ''
+    id: c30af82d-b2ec-417d-a861-4dd78584faa4
+    name: answer
+    selector:
+    - conversation
+    - answer
+    value: ''
+    value_type: string
+  environment_variables: []
+  features:
+    file_upload:
+      allowed_file_extensions:
+      - .JPG
+      - .JPEG
+      - .PNG
+      - .GIF
+      - .WEBP
+      - .SVG
+      allowed_file_types:
+      - image
+      allowed_file_upload_methods:
+      - local_file
+      - remote_url
+      enabled: false
+      fileUploadConfig:
+        audio_file_size_limit: 50
+        batch_count_limit: 5
+        file_size_limit: 15
+        image_file_size_limit: 10
+        video_file_size_limit: 100
+        workflow_file_upload_limit: 10
+      image:
+        enabled: false
+        number_limits: 3
+        transfer_methods:
+        - local_file
+        - remote_url
+      number_limits: 3
+    opening_statement: ''
+    retriever_resource:
+      enabled: true
+    sensitive_word_avoidance:
+      enabled: false
+    speech_to_text:
+      enabled: false
+    suggested_questions: []
+    suggested_questions_after_answer:
+      enabled: false
+    text_to_speech:
+      enabled: false
+      language: ''
+      voice: ''
+  graph:
+    edges:
+    - data:
+        isInIteration: false
+        isInLoop: false
+        sourceType: start
+        targetType: code
+      id: 1759032354471-source-1759032363865-target
+      source: '1759032354471'
+      sourceHandle: source
+      target: '1759032363865'
+      targetHandle: target
+      type: custom
+      zIndex: 0
+    - data:
+        isInIteration: false
+        isInLoop: false
+        sourceType: code
+        targetType: iteration
+      id: 1759032363865-source-1759032379989-target
+      source: '1759032363865'
+      sourceHandle: source
+      target: '1759032379989'
+      targetHandle: target
+      type: custom
+      zIndex: 0
+    - data:
+        isInIteration: true
+        isInLoop: false
+        iteration_id: '1759032379989'
+        sourceType: iteration-start
+        targetType: assigner
+      id: 1759032379989start-source-1759032394460-target
+      source: 1759032379989start
+      sourceHandle: source
+      target: '1759032394460'
+      targetHandle: target
+      type: custom
+      zIndex: 1002
+    - data:
+        isInIteration: false
+        isInLoop: false
+        sourceType: iteration
+        targetType: answer
+      id: 1759032379989-source-1759032410331-target
+      source: '1759032379989'
+      sourceHandle: source
+      target: '1759032410331'
+      targetHandle: target
+      type: custom
+      zIndex: 0
+    - data:
+        isInIteration: true
+        isInLoop: false
+        iteration_id: '1759032379989'
+        sourceType: assigner
+        targetType: code
+      id: 1759032394460-source-1759032476318-target
+      source: '1759032394460'
+      sourceHandle: source
+      target: '1759032476318'
+      targetHandle: target
+      type: custom
+      zIndex: 1002
+    nodes:
+    - data:
+        selected: false
+        title: Start
+        type: start
+        variables: []
+      height: 52
+      id: '1759032354471'
+      position:
+        x: 30
+        y: 302
+      positionAbsolute:
+        x: 30
+        y: 302
+      selected: false
+      sourcePosition: right
+      targetPosition: left
+      type: custom
+      width: 242
+    - data:
+        code: "\ndef main():\n    return {\n        \"result\": [1],\n    }\n"
+        code_language: python3
+        outputs:
+          result:
+            children: null
+            type: array[number]
+        selected: false
+        title: Code
+        type: code
+        variables: []
+      height: 52
+      id: '1759032363865'
+      position:
+        x: 332
+        y: 302
+      positionAbsolute:
+        x: 332
+        y: 302
+      sourcePosition: right
+      targetPosition: left
+      type: custom
+      width: 242
+    - data:
+        error_handle_mode: terminated
+        height: 204
+        is_parallel: false
+        iterator_input_type: array[number]
+        iterator_selector:
+        - '1759032363865'
+        - result
+        output_selector:
+        - '1759032476318'
+        - result
+        output_type: array[string]
+        parallel_nums: 10
+        selected: false
+        start_node_id: 1759032379989start
+        title: Iteration
+        type: iteration
+        width: 808
+      height: 204
+      id: '1759032379989'
+      position:
+        x: 634
+        y: 302
+      positionAbsolute:
+        x: 634
+        y: 302
+      selected: true
+      sourcePosition: right
+      targetPosition: left
+      type: custom
+      width: 808
+      zIndex: 1
+    - data:
+        desc: ''
+        isInIteration: true
+        selected: false
+        title: ''
+        type: iteration-start
+      draggable: false
+      height: 48
+      id: 1759032379989start
+      parentId: '1759032379989'
+      position:
+        x: 60
+        y: 78
+      positionAbsolute:
+        x: 694
+        y: 380
+      selectable: false
+      sourcePosition: right
+      targetPosition: left
+      type: custom-iteration-start
+      width: 44
+      zIndex: 1002
+    - data:
+        isInIteration: true
+        isInLoop: false
+        items:
+        - input_type: variable
+          operation: over-write
+          value:
+          - sys
+          - query
+          variable_selector:
+          - conversation
+          - answer
+          write_mode: over-write
+        iteration_id: '1759032379989'
+        selected: false
+        title: Variable Assigner
+        type: assigner
+        version: '2'
+      height: 84
+      id: '1759032394460'
+      parentId: '1759032379989'
+      position:
+        x: 204
+        y: 60
+      positionAbsolute:
+        x: 838
+        y: 362
+      sourcePosition: right
+      targetPosition: left
+      type: custom
+      width: 242
+      zIndex: 1002
+    - data:
+        answer: '{{#conversation.answer#}}'
+        selected: false
+        title: Answer
+        type: answer
+        variables: []
+      height: 104
+      id: '1759032410331'
+      position:
+        x: 1502
+        y: 302
+      positionAbsolute:
+        x: 1502
+        y: 302
+      selected: false
+      sourcePosition: right
+      targetPosition: left
+      type: custom
+      width: 242
+    - data:
+        code: "\ndef main():\n    return {\n        \"result\": '',\n    }\n"
+        code_language: python3
+        isInIteration: true
+        isInLoop: false
+        iteration_id: '1759032379989'
+        outputs:
+          result:
+            children: null
+            type: string
+        selected: false
+        title: Code 2
+        type: code
+        variables: []
+      height: 52
+      id: '1759032476318'
+      parentId: '1759032379989'
+      position:
+        x: 506
+        y: 76
+      positionAbsolute:
+        x: 1140
+        y: 378
+      sourcePosition: right
+      targetPosition: left
+      type: custom
+      width: 242
+      zIndex: 1002
+    viewport:
+      x: 120.39999999999998
+      y: 85.20000000000005
+      zoom: 0.7
+  rag_pipeline_variables: []
diff --git a/api/tests/unit_tests/core/workflow/entities/test_variable_pool.py b/api/tests/unit_tests/core/workflow/entities/test_variable_pool.py
new file mode 100644
index 0000000000..68fe82d05e
--- /dev/null
+++ b/api/tests/unit_tests/core/workflow/entities/test_variable_pool.py
@@ -0,0 +1,113 @@
+from core.variables.segments import (
+    BooleanSegment,
+    IntegerSegment,
+    NoneSegment,
+    StringSegment,
+)
+from core.workflow.entities.variable_pool import VariablePool
+
+
+class TestVariablePoolGetAndNestedAttribute:
+    #
+    # _get_nested_attribute tests
+    #
+    def test__get_nested_attribute_existing_key(self):
+        pool = VariablePool.empty()
+        obj = {"a": 123}
+        segment = pool._get_nested_attribute(obj, "a")
+        assert segment is not None
+        assert segment.value == 123
+
+    def test__get_nested_attribute_missing_key(self):
+        pool = VariablePool.empty()
+        obj = {"a": 123}
+        segment = pool._get_nested_attribute(obj, "b")
+        assert segment is None
+
+    def test__get_nested_attribute_non_dict(self):
+        pool = VariablePool.empty()
+        obj = ["not", "a", "dict"]
+        segment = pool._get_nested_attribute(obj, "a")
+        assert segment is None
+
+    def test__get_nested_attribute_with_none_value(self):
+        pool = VariablePool.empty()
+        obj = {"a": None}
+        segment = pool._get_nested_attribute(obj, "a")
+        assert segment is not None
+        assert isinstance(segment, NoneSegment)
+
+    def test__get_nested_attribute_with_empty_string(self):
+        pool = VariablePool.empty()
+        obj = {"a": ""}
+        segment = pool._get_nested_attribute(obj, "a")
+        assert segment is not None
+        assert isinstance(segment, StringSegment)
+        assert segment.value == ""
+
+    #
+    # get tests
+    #
+    def test_get_simple_variable(self):
+        pool = VariablePool.empty()
+        pool.add(("node1", "var1"), "value1")
+        segment = pool.get(("node1", "var1"))
+        assert segment is not None
+        assert segment.value == "value1"
+
+    def test_get_missing_variable(self):
+        pool = VariablePool.empty()
+        result = pool.get(("node1", "unknown"))
+        assert result is None
+
+    def test_get_with_too_short_selector(self):
+        pool = VariablePool.empty()
+        result = pool.get(("only_node",))
+        assert result is None
+
+    def test_get_nested_object_attribute(self):
+        pool = VariablePool.empty()
+        obj_value = {"inner": "hello"}
+        pool.add(("node1", "obj"), obj_value)
+
+        # simulate selector with nested attr
+        segment = pool.get(("node1", "obj", "inner"))
+        assert segment is not None
+        assert segment.value == "hello"
+
+    def test_get_nested_object_missing_attribute(self):
+        pool = VariablePool.empty()
+        obj_value = {"inner": "hello"}
+        pool.add(("node1", "obj"), obj_value)
+
+        result = pool.get(("node1", "obj", "not_exist"))
+        assert result is None
+
+    def test_get_nested_object_attribute_with_falsy_values(self):
+        pool = VariablePool.empty()
+        obj_value = {
+            "inner_none": None,
+            "inner_empty": "",
+            "inner_zero": 0,
+            "inner_false": False,
+        }
+        pool.add(("node1", "obj"), obj_value)
+
+        segment_none = pool.get(("node1", "obj", "inner_none"))
+        assert segment_none is not None
+        assert isinstance(segment_none, NoneSegment)
+
+        segment_empty = pool.get(("node1", "obj", "inner_empty"))
+        assert segment_empty is not None
+        assert isinstance(segment_empty, StringSegment)
+        assert segment_empty.value == ""
+
+        segment_zero = pool.get(("node1", "obj", "inner_zero"))
+        assert segment_zero is not None
+        assert isinstance(segment_zero, IntegerSegment)
+        assert segment_zero.value == 0
+
+        segment_false = pool.get(("node1", "obj", "inner_false"))
+        assert segment_false is not None
+        assert isinstance(segment_false, BooleanSegment)
+        assert segment_false.value is False
diff --git a/api/tests/unit_tests/core/workflow/graph_engine/test_update_conversation_variable_iteration.py b/api/tests/unit_tests/core/workflow/graph_engine/test_update_conversation_variable_iteration.py
new file mode 100644
index 0000000000..a7309f64de
--- /dev/null
+++ b/api/tests/unit_tests/core/workflow/graph_engine/test_update_conversation_variable_iteration.py
@@ -0,0 +1,41 @@
+"""Validate conversation variable updates inside an iteration workflow.
+
+This test uses the ``update-conversation-variable-in-iteration`` fixture, which
+routes ``sys.query`` into the conversation variable ``answer`` from within an
+iteration container. The workflow should surface that updated conversation
+variable in the final answer output.
+
+Code nodes in the fixture are mocked because their concrete outputs are not
+relevant to verifying variable propagation semantics.
+"""
+
+from .test_mock_config import MockConfigBuilder
+from .test_table_runner import TableTestRunner, WorkflowTestCase
+
+
+def test_update_conversation_variable_in_iteration():
+    fixture_name = "update-conversation-variable-in-iteration"
+    user_query = "ensure conversation variable syncs"
+
+    mock_config = (
+        MockConfigBuilder()
+        .with_node_output("1759032363865", {"result": [1]})
+        .with_node_output("1759032476318", {"result": ""})
+        .build()
+    )
+
+    case = WorkflowTestCase(
+        fixture_path=fixture_name,
+        use_auto_mock=True,
+        mock_config=mock_config,
+        query=user_query,
+        expected_outputs={"answer": user_query},
+        description="Conversation variable updated within iteration should flow to answer output.",
+    )
+
+    runner = TableTestRunner()
+    result = runner.run_test_case(case)
+
+    assert result.success, f"Workflow execution failed: {result.error}"
+    assert result.actual_outputs is not None
+    assert result.actual_outputs.get("answer") == user_query
diff --git a/api/uv.lock b/api/uv.lock
index 8b3564d139..f2abdee78f 100644
--- a/api/uv.lock
+++ b/api/uv.lock
@@ -1076,7 +1076,7 @@ wheels = [
 
 [[package]]
 name = "cos-python-sdk-v5"
-version = "1.9.30"
+version = "1.9.38"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "crcmod" },
@@ -1085,7 +1085,10 @@ dependencies = [
     { name = "six" },
     { name = "xmltodict" },
 ]
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+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ab/c8/c9c156aa3bc7caba9b4f8a2b6abec3da6263215988f3fec0ea843f137a10/cos_python_sdk_v5-1.9.38-py3-none-any.whl", hash = "sha256:1d3dd3be2bd992b2e9c2dcd018e2596aa38eab022dbc86b4a5d14c8fc88370e6", size = 92601, upload-time = "2025-08-17T05:12:30.867Z" },
+]
 
 [[package]]
 name = "couchbase"
@@ -1286,7 +1289,7 @@ wheels = [
 
 [[package]]
 name = "dify-api"
-version = "1.9.0"
+version = "1.9.1"
 source = { virtual = "." }
 dependencies = [
     { name = "arize-phoenix-otel" },
@@ -1639,7 +1642,7 @@ dev = [
 storage = [
     { name = "azure-storage-blob", specifier = "==12.13.0" },
     { name = "bce-python-sdk", specifier = "~=0.9.23" },
-    { name = "cos-python-sdk-v5", specifier = "==1.9.30" },
+    { name = "cos-python-sdk-v5", specifier = "==1.9.38" },
     { name = "esdk-obs-python", specifier = "==3.24.6.1" },
     { name = "google-cloud-storage", specifier = "==2.16.0" },
     { name = "opendal", specifier = "~=0.46.0" },
@@ -1661,7 +1664,7 @@ vdb = [
     { name = "elasticsearch", specifier = "==8.14.0" },
     { name = "mo-vector", specifier = "~=0.1.13" },
     { name = "opensearch-py", specifier = "==2.4.0" },
-    { name = "oracledb", specifier = "==3.0.0" },
+    { name = "oracledb", specifier = "==3.3.0" },
     { name = "pgvecto-rs", extras = ["sqlalchemy"], specifier = "~=0.2.1" },
     { name = "pgvector", specifier = "==0.2.5" },
     { name = "pymilvus", specifier = "~=2.5.0" },
@@ -4094,23 +4097,23 @@ numpy = [
 
 [[package]]
 name = "oracledb"
-version = "3.0.0"
+version = "3.3.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "cryptography" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/51/c9/fae18fa5d803712d188486f8e86ad4f4e00316793ca19745d7c11092c360/oracledb-3.3.0.tar.gz", hash = "sha256:e830d3544a1578296bcaa54c6e8c8ae10a58c7db467c528c4b27adbf9c8b4cb0", size = 811776, upload-time = "2025-07-29T22:34:10.489Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/08/a8/f6b7809d70e98e113786d5a6f1294da81c046d2fa901ad656669fc5d7fae/oracledb-3.3.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:9d25e37d640872731ac9b73f83cbc5fc4743cd744766bdb250488caf0d7696a8", size = 3943512, upload-time = "2025-07-29T22:34:39.237Z" },
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+    { url = "https://files.pythonhosted.org/packages/56/bf/f65635ad5df17d6e4a2083182750bb136ac663ff0e9996ce59d77d200f60/oracledb-3.3.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2fe20540fde64a6987046807ea47af93be918fd70b9766b3eb803c01e6d4202e", size = 2458811, upload-time = "2025-07-29T22:34:44.648Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/30/e0c130b6278c10b0e6cd77a3a1a29a785c083c549676cf701c5d180b8e63/oracledb-3.3.0-cp312-cp312-win32.whl", hash = "sha256:db080be9345cbf9506ffdaea3c13d5314605355e76d186ec4edfa49960ffb813", size = 1445525, upload-time = "2025-07-29T22:34:46.603Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/5c/7254f5e1a33a5d6b8bf6813d4f4fdcf5c4166ec8a7af932d987879d5595c/oracledb-3.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:be81e3afe79f6c8ece79a86d6067ad1572d2992ce1c590a086f3755a09535eb4", size = 1789976, upload-time = "2025-07-29T22:34:48.5Z" },
 ]
 
 [[package]]
diff --git a/docker/.env.example b/docker/.env.example
index ad99c3d448..dce5d5cc44 100644
--- a/docker/.env.example
+++ b/docker/.env.example
@@ -45,7 +45,7 @@ APP_WEB_URL=
 #   Recommendation: use a dedicated domain (e.g., https://upload.example.com).
 #   Alternatively, use http://<your-ip>:5001 or http://api:5001,
 #   ensuring port 5001 is externally accessible (see docker-compose.yaml).
-FILES_URL=http://api:5001
+FILES_URL=
 
 # INTERNAL_FILES_URL is used for plugin daemon communication within Docker network.
 # Set this to the internal Docker service URL for proper plugin file access.
diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml
index e4071df821..ca2928679e 100644
--- a/docker/docker-compose-template.yaml
+++ b/docker/docker-compose-template.yaml
@@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:1.9.0
+    image: langgenius/dify-api:1.9.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -31,7 +31,7 @@ services:
   # worker service
   # The Celery worker for processing all queues (dataset, workflow, mail, etc.)
   worker:
-    image: langgenius/dify-api:1.9.0
+    image: langgenius/dify-api:1.9.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -58,7 +58,7 @@ services:
   # worker_beat service
   # Celery beat for scheduling periodic tasks.
   worker_beat:
-    image: langgenius/dify-api:1.9.0
+    image: langgenius/dify-api:1.9.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -76,7 +76,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:1.9.0
+    image: langgenius/dify-web:1.9.1
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml
index 53f17f0389..d3f382b67f 100644
--- a/docker/docker-compose.yaml
+++ b/docker/docker-compose.yaml
@@ -10,7 +10,7 @@ x-shared-env: &shared-api-worker-env
   SERVICE_API_URL: ${SERVICE_API_URL:-}
   APP_API_URL: ${APP_API_URL:-}
   APP_WEB_URL: ${APP_WEB_URL:-}
-  FILES_URL: ${FILES_URL:-http://api:5001}
+  FILES_URL: ${FILES_URL:-}
   INTERNAL_FILES_URL: ${INTERNAL_FILES_URL:-}
   LANG: ${LANG:-en_US.UTF-8}
   LC_ALL: ${LC_ALL:-en_US.UTF-8}
@@ -604,7 +604,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:1.9.0
+    image: langgenius/dify-api:1.9.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -633,7 +633,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:1.9.0
+    image: langgenius/dify-api:1.9.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -660,7 +660,7 @@ services:
   # worker_beat service
   # Celery beat for scheduling periodic tasks.
   worker_beat:
-    image: langgenius/dify-api:1.9.0
+    image: langgenius/dify-api:1.9.1
     restart: always
     environment:
       # Use the shared environment variables.
@@ -678,7 +678,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:1.9.0
+    image: langgenius/dify-web:1.9.1
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
diff --git a/sdks/python-client/dify_client/__init__.py b/sdks/python-client/dify_client/__init__.py
index e866472f45..e252bc0472 100644
--- a/sdks/python-client/dify_client/__init__.py
+++ b/sdks/python-client/dify_client/__init__.py
@@ -4,6 +4,7 @@ from dify_client.client import (
     DifyClient,
     KnowledgeBaseClient,
     WorkflowClient,
+    WorkspaceClient,
 )
 
 __all__ = [
@@ -12,4 +13,5 @@ __all__ = [
     "DifyClient",
     "KnowledgeBaseClient",
     "WorkflowClient",
+    "WorkspaceClient",
 ]
diff --git a/sdks/python-client/dify_client/client.py b/sdks/python-client/dify_client/client.py
index 201391eae9..fb42e3773d 100644
--- a/sdks/python-client/dify_client/client.py
+++ b/sdks/python-client/dify_client/client.py
@@ -1,5 +1,6 @@
 import json
-from typing import Literal
+from typing import Literal, Union, Dict, List, Any, Optional, IO
+
 import requests
 
 
@@ -49,6 +50,18 @@ class DifyClient:
         params = {"user": user}
         return self._send_request("GET", "/meta", params=params)
 
+    def get_app_info(self):
+        """Get basic application information including name, description, tags, and mode."""
+        return self._send_request("GET", "/info")
+
+    def get_app_site_info(self):
+        """Get application site information."""
+        return self._send_request("GET", "/site")
+
+    def get_file_preview(self, file_id: str):
+        """Get file preview by file ID."""
+        return self._send_request("GET", f"/files/{file_id}/preview")
+
 
 class CompletionClient(DifyClient):
     def create_completion_message(
@@ -144,6 +157,51 @@ class ChatClient(DifyClient):
         files = {"file": audio_file}
         return self._send_request_with_files("POST", "/audio-to-text", data, files)
 
+    # Annotation APIs
+    def annotation_reply_action(
+        self,
+        action: Literal["enable", "disable"],
+        score_threshold: float,
+        embedding_provider_name: str,
+        embedding_model_name: str,
+    ):
+        """Enable or disable annotation reply feature."""
+        # Backend API requires these fields to be non-None values
+        if score_threshold is None or embedding_provider_name is None or embedding_model_name is None:
+            raise ValueError("score_threshold, embedding_provider_name, and embedding_model_name cannot be None")
+
+        data = {
+            "score_threshold": score_threshold,
+            "embedding_provider_name": embedding_provider_name,
+            "embedding_model_name": embedding_model_name,
+        }
+        return self._send_request("POST", f"/apps/annotation-reply/{action}", json=data)
+
+    def get_annotation_reply_status(self, action: Literal["enable", "disable"], job_id: str):
+        """Get the status of an annotation reply action job."""
+        return self._send_request("GET", f"/apps/annotation-reply/{action}/status/{job_id}")
+
+    def list_annotations(self, page: int = 1, limit: int = 20, keyword: str = ""):
+        """List annotations for the application."""
+        params = {"page": page, "limit": limit}
+        if keyword:
+            params["keyword"] = keyword
+        return self._send_request("GET", "/apps/annotations", params=params)
+
+    def create_annotation(self, question: str, answer: str):
+        """Create a new annotation."""
+        data = {"question": question, "answer": answer}
+        return self._send_request("POST", "/apps/annotations", json=data)
+
+    def update_annotation(self, annotation_id: str, question: str, answer: str):
+        """Update an existing annotation."""
+        data = {"question": question, "answer": answer}
+        return self._send_request("PUT", f"/apps/annotations/{annotation_id}", json=data)
+
+    def delete_annotation(self, annotation_id: str):
+        """Delete an annotation."""
+        return self._send_request("DELETE", f"/apps/annotations/{annotation_id}")
+
 
 class WorkflowClient(DifyClient):
     def run(self, inputs: dict, response_mode: Literal["blocking", "streaming"] = "streaming", user: str = "abc-123"):
@@ -157,6 +215,55 @@ class WorkflowClient(DifyClient):
     def get_result(self, workflow_run_id):
         return self._send_request("GET", f"/workflows/run/{workflow_run_id}")
 
+    def get_workflow_logs(
+        self,
+        keyword: str = None,
+        status: Literal["succeeded", "failed", "stopped"] | None = None,
+        page: int = 1,
+        limit: int = 20,
+        created_at__before: str = None,
+        created_at__after: str = None,
+        created_by_end_user_session_id: str = None,
+        created_by_account: str = None,
+    ):
+        """Get workflow execution logs with optional filtering."""
+        params = {"page": page, "limit": limit}
+        if keyword:
+            params["keyword"] = keyword
+        if status:
+            params["status"] = status
+        if created_at__before:
+            params["created_at__before"] = created_at__before
+        if created_at__after:
+            params["created_at__after"] = created_at__after
+        if created_by_end_user_session_id:
+            params["created_by_end_user_session_id"] = created_by_end_user_session_id
+        if created_by_account:
+            params["created_by_account"] = created_by_account
+        return self._send_request("GET", "/workflows/logs", params=params)
+
+    def run_specific_workflow(
+        self,
+        workflow_id: str,
+        inputs: dict,
+        response_mode: Literal["blocking", "streaming"] = "streaming",
+        user: str = "abc-123",
+    ):
+        """Run a specific workflow by workflow ID."""
+        data = {"inputs": inputs, "response_mode": response_mode, "user": user}
+        return self._send_request(
+            "POST", f"/workflows/{workflow_id}/run", data, stream=True if response_mode == "streaming" else False
+        )
+
+
+class WorkspaceClient(DifyClient):
+    """Client for workspace-related operations."""
+
+    def get_available_models(self, model_type: str):
+        """Get available models by model type."""
+        url = f"/workspaces/current/models/model-types/{model_type}"
+        return self._send_request("GET", url)
+
 
 class KnowledgeBaseClient(DifyClient):
     def __init__(
@@ -443,3 +550,117 @@ class KnowledgeBaseClient(DifyClient):
         data = {"segment": segment_data}
         url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments/{segment_id}"
         return self._send_request("POST", url, json=data, **kwargs)
+
+    # Advanced Knowledge Base APIs
+    def hit_testing(
+        self, query: str, retrieval_model: Dict[str, Any] = None, external_retrieval_model: Dict[str, Any] = None
+    ):
+        """Perform hit testing on the dataset."""
+        data = {"query": query}
+        if retrieval_model:
+            data["retrieval_model"] = retrieval_model
+        if external_retrieval_model:
+            data["external_retrieval_model"] = external_retrieval_model
+        url = f"/datasets/{self._get_dataset_id()}/hit-testing"
+        return self._send_request("POST", url, json=data)
+
+    def get_dataset_metadata(self):
+        """Get dataset metadata."""
+        url = f"/datasets/{self._get_dataset_id()}/metadata"
+        return self._send_request("GET", url)
+
+    def create_dataset_metadata(self, metadata_data: Dict[str, Any]):
+        """Create dataset metadata."""
+        url = f"/datasets/{self._get_dataset_id()}/metadata"
+        return self._send_request("POST", url, json=metadata_data)
+
+    def update_dataset_metadata(self, metadata_id: str, metadata_data: Dict[str, Any]):
+        """Update dataset metadata."""
+        url = f"/datasets/{self._get_dataset_id()}/metadata/{metadata_id}"
+        return self._send_request("PATCH", url, json=metadata_data)
+
+    def get_built_in_metadata(self):
+        """Get built-in metadata."""
+        url = f"/datasets/{self._get_dataset_id()}/metadata/built-in"
+        return self._send_request("GET", url)
+
+    def manage_built_in_metadata(self, action: str, metadata_data: Dict[str, Any] = None):
+        """Manage built-in metadata with specified action."""
+        data = metadata_data or {}
+        url = f"/datasets/{self._get_dataset_id()}/metadata/built-in/{action}"
+        return self._send_request("POST", url, json=data)
+
+    def update_documents_metadata(self, operation_data: List[Dict[str, Any]]):
+        """Update metadata for multiple documents."""
+        url = f"/datasets/{self._get_dataset_id()}/documents/metadata"
+        data = {"operation_data": operation_data}
+        return self._send_request("POST", url, json=data)
+
+    # Dataset Tags APIs
+    def list_dataset_tags(self):
+        """List all dataset tags."""
+        return self._send_request("GET", "/datasets/tags")
+
+    def bind_dataset_tags(self, tag_ids: List[str]):
+        """Bind tags to dataset."""
+        data = {"tag_ids": tag_ids, "target_id": self._get_dataset_id()}
+        return self._send_request("POST", "/datasets/tags/binding", json=data)
+
+    def unbind_dataset_tag(self, tag_id: str):
+        """Unbind a single tag from dataset."""
+        data = {"tag_id": tag_id, "target_id": self._get_dataset_id()}
+        return self._send_request("POST", "/datasets/tags/unbinding", json=data)
+
+    def get_dataset_tags(self):
+        """Get tags for current dataset."""
+        url = f"/datasets/{self._get_dataset_id()}/tags"
+        return self._send_request("GET", url)
+
+    # RAG Pipeline APIs
+    def get_datasource_plugins(self, is_published: bool = True):
+        """Get datasource plugins for RAG pipeline."""
+        params = {"is_published": is_published}
+        url = f"/datasets/{self._get_dataset_id()}/pipeline/datasource-plugins"
+        return self._send_request("GET", url, params=params)
+
+    def run_datasource_node(
+        self,
+        node_id: str,
+        inputs: Dict[str, Any],
+        datasource_type: str,
+        is_published: bool = True,
+        credential_id: str = None,
+    ):
+        """Run a datasource node in RAG pipeline."""
+        data = {"inputs": inputs, "datasource_type": datasource_type, "is_published": is_published}
+        if credential_id:
+            data["credential_id"] = credential_id
+        url = f"/datasets/{self._get_dataset_id()}/pipeline/datasource/nodes/{node_id}/run"
+        return self._send_request("POST", url, json=data, stream=True)
+
+    def run_rag_pipeline(
+        self,
+        inputs: Dict[str, Any],
+        datasource_type: str,
+        datasource_info_list: List[Dict[str, Any]],
+        start_node_id: str,
+        is_published: bool = True,
+        response_mode: Literal["streaming", "blocking"] = "blocking",
+    ):
+        """Run RAG pipeline."""
+        data = {
+            "inputs": inputs,
+            "datasource_type": datasource_type,
+            "datasource_info_list": datasource_info_list,
+            "start_node_id": start_node_id,
+            "is_published": is_published,
+            "response_mode": response_mode,
+        }
+        url = f"/datasets/{self._get_dataset_id()}/pipeline/run"
+        return self._send_request("POST", url, json=data, stream=response_mode == "streaming")
+
+    def upload_pipeline_file(self, file_path: str):
+        """Upload file for RAG pipeline."""
+        with open(file_path, "rb") as f:
+            files = {"file": f}
+            return self._send_request_with_files("POST", "/datasets/pipeline/file-upload", {}, files)
diff --git a/sdks/python-client/tests/test_new_apis.py b/sdks/python-client/tests/test_new_apis.py
new file mode 100644
index 0000000000..09c62dfda7
--- /dev/null
+++ b/sdks/python-client/tests/test_new_apis.py
@@ -0,0 +1,416 @@
+#!/usr/bin/env python3
+"""
+Test suite for the new Service API functionality in the Python SDK.
+
+This test validates the implementation of the missing Service API endpoints
+that were added to the Python SDK to achieve complete coverage.
+"""
+
+import unittest
+from unittest.mock import Mock, patch, MagicMock
+import json
+
+from dify_client import (
+    DifyClient,
+    ChatClient,
+    WorkflowClient,
+    KnowledgeBaseClient,
+    WorkspaceClient,
+)
+
+
+class TestNewServiceAPIs(unittest.TestCase):
+    """Test cases for new Service API implementations."""
+
+    def setUp(self):
+        """Set up test fixtures."""
+        self.api_key = "test-api-key"
+        self.base_url = "https://api.dify.ai/v1"
+
+    @patch("dify_client.client.requests.request")
+    def test_app_info_apis(self, mock_request):
+        """Test application info APIs."""
+        mock_response = Mock()
+        mock_response.json.return_value = {
+            "name": "Test App",
+            "description": "Test Description",
+            "tags": ["test", "api"],
+            "mode": "chat",
+            "author_name": "Test Author",
+        }
+        mock_request.return_value = mock_response
+
+        client = DifyClient(self.api_key, self.base_url)
+
+        # Test get_app_info
+        result = client.get_app_info()
+        mock_request.assert_called_with(
+            "GET",
+            f"{self.base_url}/info",
+            json=None,
+            params=None,
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+            stream=False,
+        )
+
+        # Test get_app_site_info
+        client.get_app_site_info()
+        mock_request.assert_called_with(
+            "GET",
+            f"{self.base_url}/site",
+            json=None,
+            params=None,
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+            stream=False,
+        )
+
+        # Test get_file_preview
+        file_id = "test-file-id"
+        client.get_file_preview(file_id)
+        mock_request.assert_called_with(
+            "GET",
+            f"{self.base_url}/files/{file_id}/preview",
+            json=None,
+            params=None,
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+            stream=False,
+        )
+
+    @patch("dify_client.client.requests.request")
+    def test_annotation_apis(self, mock_request):
+        """Test annotation APIs."""
+        mock_response = Mock()
+        mock_response.json.return_value = {"result": "success"}
+        mock_request.return_value = mock_response
+
+        client = ChatClient(self.api_key, self.base_url)
+
+        # Test annotation_reply_action - enable
+        client.annotation_reply_action(
+            action="enable",
+            score_threshold=0.8,
+            embedding_provider_name="openai",
+            embedding_model_name="text-embedding-ada-002",
+        )
+        mock_request.assert_called_with(
+            "POST",
+            f"{self.base_url}/apps/annotation-reply/enable",
+            json={
+                "score_threshold": 0.8,
+                "embedding_provider_name": "openai",
+                "embedding_model_name": "text-embedding-ada-002",
+            },
+            params=None,
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+            stream=False,
+        )
+
+        # Test annotation_reply_action - disable (now requires same fields as enable)
+        client.annotation_reply_action(
+            action="disable",
+            score_threshold=0.5,
+            embedding_provider_name="openai",
+            embedding_model_name="text-embedding-ada-002",
+        )
+
+        # Test annotation_reply_action with score_threshold=0 (edge case)
+        client.annotation_reply_action(
+            action="enable",
+            score_threshold=0.0,  # This should work and not raise ValueError
+            embedding_provider_name="openai",
+            embedding_model_name="text-embedding-ada-002",
+        )
+
+        # Test get_annotation_reply_status
+        client.get_annotation_reply_status("enable", "job-123")
+
+        # Test list_annotations
+        client.list_annotations(page=1, limit=20, keyword="test")
+
+        # Test create_annotation
+        client.create_annotation("Test question?", "Test answer.")
+
+        # Test update_annotation
+        client.update_annotation("annotation-123", "Updated question?", "Updated answer.")
+
+        # Test delete_annotation
+        client.delete_annotation("annotation-123")
+
+        # Verify all calls were made (8 calls: enable + disable + enable with 0.0 + 5 other operations)
+        self.assertEqual(mock_request.call_count, 8)
+
+    @patch("dify_client.client.requests.request")
+    def test_knowledge_base_advanced_apis(self, mock_request):
+        """Test advanced knowledge base APIs."""
+        mock_response = Mock()
+        mock_response.json.return_value = {"result": "success"}
+        mock_request.return_value = mock_response
+
+        dataset_id = "test-dataset-id"
+        client = KnowledgeBaseClient(self.api_key, self.base_url, dataset_id)
+
+        # Test hit_testing
+        client.hit_testing("test query", {"type": "vector"})
+        mock_request.assert_called_with(
+            "POST",
+            f"{self.base_url}/datasets/{dataset_id}/hit-testing",
+            json={"query": "test query", "retrieval_model": {"type": "vector"}},
+            params=None,
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+            stream=False,
+        )
+
+        # Test metadata operations
+        client.get_dataset_metadata()
+        client.create_dataset_metadata({"key": "value"})
+        client.update_dataset_metadata("meta-123", {"key": "new_value"})
+        client.get_built_in_metadata()
+        client.manage_built_in_metadata("enable", {"type": "built_in"})
+        client.update_documents_metadata([{"document_id": "doc1", "metadata": {"key": "value"}}])
+
+        # Test tag operations
+        client.list_dataset_tags()
+        client.bind_dataset_tags(["tag1", "tag2"])
+        client.unbind_dataset_tag("tag1")
+        client.get_dataset_tags()
+
+        # Verify multiple calls were made
+        self.assertGreater(mock_request.call_count, 5)
+
+    @patch("dify_client.client.requests.request")
+    def test_rag_pipeline_apis(self, mock_request):
+        """Test RAG pipeline APIs."""
+        mock_response = Mock()
+        mock_response.json.return_value = {"result": "success"}
+        mock_request.return_value = mock_response
+
+        dataset_id = "test-dataset-id"
+        client = KnowledgeBaseClient(self.api_key, self.base_url, dataset_id)
+
+        # Test get_datasource_plugins
+        client.get_datasource_plugins(is_published=True)
+        mock_request.assert_called_with(
+            "GET",
+            f"{self.base_url}/datasets/{dataset_id}/pipeline/datasource-plugins",
+            json=None,
+            params={"is_published": True},
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+            stream=False,
+        )
+
+        # Test run_datasource_node
+        client.run_datasource_node(
+            node_id="node-123",
+            inputs={"param": "value"},
+            datasource_type="online_document",
+            is_published=True,
+            credential_id="cred-123",
+        )
+
+        # Test run_rag_pipeline with blocking mode
+        client.run_rag_pipeline(
+            inputs={"query": "test"},
+            datasource_type="online_document",
+            datasource_info_list=[{"id": "ds1"}],
+            start_node_id="start-node",
+            is_published=True,
+            response_mode="blocking",
+        )
+
+        # Test run_rag_pipeline with streaming mode
+        client.run_rag_pipeline(
+            inputs={"query": "test"},
+            datasource_type="online_document",
+            datasource_info_list=[{"id": "ds1"}],
+            start_node_id="start-node",
+            is_published=True,
+            response_mode="streaming",
+        )
+
+        self.assertEqual(mock_request.call_count, 4)
+
+    @patch("dify_client.client.requests.request")
+    def test_workspace_apis(self, mock_request):
+        """Test workspace APIs."""
+        mock_response = Mock()
+        mock_response.json.return_value = {
+            "data": [{"name": "gpt-3.5-turbo", "type": "llm"}, {"name": "gpt-4", "type": "llm"}]
+        }
+        mock_request.return_value = mock_response
+
+        client = WorkspaceClient(self.api_key, self.base_url)
+
+        # Test get_available_models
+        result = client.get_available_models("llm")
+        mock_request.assert_called_with(
+            "GET",
+            f"{self.base_url}/workspaces/current/models/model-types/llm",
+            json=None,
+            params=None,
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+            stream=False,
+        )
+
+    @patch("dify_client.client.requests.request")
+    def test_workflow_advanced_apis(self, mock_request):
+        """Test advanced workflow APIs."""
+        mock_response = Mock()
+        mock_response.json.return_value = {"result": "success"}
+        mock_request.return_value = mock_response
+
+        client = WorkflowClient(self.api_key, self.base_url)
+
+        # Test get_workflow_logs
+        client.get_workflow_logs(keyword="test", status="succeeded", page=1, limit=20)
+        mock_request.assert_called_with(
+            "GET",
+            f"{self.base_url}/workflows/logs",
+            json=None,
+            params={"page": 1, "limit": 20, "keyword": "test", "status": "succeeded"},
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+            stream=False,
+        )
+
+        # Test get_workflow_logs with additional filters
+        client.get_workflow_logs(
+            keyword="test",
+            status="succeeded",
+            page=1,
+            limit=20,
+            created_at__before="2024-01-01",
+            created_at__after="2023-01-01",
+            created_by_account="user123",
+        )
+
+        # Test run_specific_workflow
+        client.run_specific_workflow(
+            workflow_id="workflow-123", inputs={"param": "value"}, response_mode="streaming", user="user-123"
+        )
+
+        self.assertEqual(mock_request.call_count, 3)
+
+    def test_error_handling(self):
+        """Test error handling for required parameters."""
+        client = ChatClient(self.api_key, self.base_url)
+
+        # Test annotation_reply_action with missing required parameters would be a TypeError now
+        # since parameters are required in method signature
+        with self.assertRaises(TypeError):
+            client.annotation_reply_action("enable")
+
+        # Test annotation_reply_action with explicit None values should raise ValueError
+        with self.assertRaises(ValueError) as context:
+            client.annotation_reply_action("enable", None, "provider", "model")
+
+        self.assertIn("cannot be None", str(context.exception))
+
+        # Test KnowledgeBaseClient without dataset_id
+        kb_client = KnowledgeBaseClient(self.api_key, self.base_url)
+        with self.assertRaises(ValueError) as context:
+            kb_client.hit_testing("test query")
+
+        self.assertIn("dataset_id is not set", str(context.exception))
+
+    @patch("dify_client.client.open")
+    @patch("dify_client.client.requests.request")
+    def test_file_upload_apis(self, mock_request, mock_open):
+        """Test file upload APIs."""
+        mock_response = Mock()
+        mock_response.json.return_value = {"result": "success"}
+        mock_request.return_value = mock_response
+
+        mock_file = MagicMock()
+        mock_open.return_value.__enter__.return_value = mock_file
+
+        dataset_id = "test-dataset-id"
+        client = KnowledgeBaseClient(self.api_key, self.base_url, dataset_id)
+
+        # Test upload_pipeline_file
+        client.upload_pipeline_file("/path/to/test.pdf")
+
+        mock_open.assert_called_with("/path/to/test.pdf", "rb")
+        mock_request.assert_called_once()
+
+    def test_comprehensive_coverage(self):
+        """Test that all previously missing APIs are now implemented."""
+
+        # Test DifyClient methods
+        dify_methods = ["get_app_info", "get_app_site_info", "get_file_preview"]
+        client = DifyClient(self.api_key)
+        for method in dify_methods:
+            self.assertTrue(hasattr(client, method), f"DifyClient missing method: {method}")
+
+        # Test ChatClient annotation methods
+        chat_methods = [
+            "annotation_reply_action",
+            "get_annotation_reply_status",
+            "list_annotations",
+            "create_annotation",
+            "update_annotation",
+            "delete_annotation",
+        ]
+        chat_client = ChatClient(self.api_key)
+        for method in chat_methods:
+            self.assertTrue(hasattr(chat_client, method), f"ChatClient missing method: {method}")
+
+        # Test WorkflowClient advanced methods
+        workflow_methods = ["get_workflow_logs", "run_specific_workflow"]
+        workflow_client = WorkflowClient(self.api_key)
+        for method in workflow_methods:
+            self.assertTrue(hasattr(workflow_client, method), f"WorkflowClient missing method: {method}")
+
+        # Test KnowledgeBaseClient advanced methods
+        kb_methods = [
+            "hit_testing",
+            "get_dataset_metadata",
+            "create_dataset_metadata",
+            "update_dataset_metadata",
+            "get_built_in_metadata",
+            "manage_built_in_metadata",
+            "update_documents_metadata",
+            "list_dataset_tags",
+            "bind_dataset_tags",
+            "unbind_dataset_tag",
+            "get_dataset_tags",
+            "get_datasource_plugins",
+            "run_datasource_node",
+            "run_rag_pipeline",
+            "upload_pipeline_file",
+        ]
+        kb_client = KnowledgeBaseClient(self.api_key)
+        for method in kb_methods:
+            self.assertTrue(hasattr(kb_client, method), f"KnowledgeBaseClient missing method: {method}")
+
+        # Test WorkspaceClient methods
+        workspace_methods = ["get_available_models"]
+        workspace_client = WorkspaceClient(self.api_key)
+        for method in workspace_methods:
+            self.assertTrue(hasattr(workspace_client, method), f"WorkspaceClient missing method: {method}")
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/web/app/components/app/annotation/index.tsx b/web/app/components/app/annotation/index.tsx
index afa8732701..264b1ac727 100644
--- a/web/app/components/app/annotation/index.tsx
+++ b/web/app/components/app/annotation/index.tsx
@@ -38,7 +38,7 @@ const Annotation: FC<Props> = (props) => {
   const [isShowEdit, setIsShowEdit] = useState(false)
   const [annotationConfig, setAnnotationConfig] = useState<AnnotationReplyConfig | null>(null)
   const [isChatApp] = useState(appDetail.mode !== 'completion')
-  const [controlRefreshSwitch, setControlRefreshSwitch] = useState(Date.now())
+  const [controlRefreshSwitch, setControlRefreshSwitch] = useState(() => Date.now())
   const { plan, enableBilling } = useProviderContext()
   const isAnnotationFull = enableBilling && plan.usage.annotatedResponse >= plan.total.annotatedResponse
   const [isShowAnnotationFullModal, setIsShowAnnotationFullModal] = useState(false)
@@ -48,7 +48,7 @@ const Annotation: FC<Props> = (props) => {
   const [list, setList] = useState<AnnotationItem[]>([])
   const [total, setTotal] = useState(0)
   const [isLoading, setIsLoading] = useState(false)
-  const [controlUpdateList, setControlUpdateList] = useState(Date.now())
+  const [controlUpdateList, setControlUpdateList] = useState(() => Date.now())
   const [currItem, setCurrItem] = useState<AnnotationItem | null>(null)
   const [isShowViewModal, setIsShowViewModal] = useState(false)
   const [selectedIds, setSelectedIds] = useState<string[]>([])
diff --git a/web/app/components/app/configuration/config-prompt/prompt-editor-height-resize-wrap.tsx b/web/app/components/app/configuration/config-prompt/prompt-editor-height-resize-wrap.tsx
index 1457a298f2..9e10db93ae 100644
--- a/web/app/components/app/configuration/config-prompt/prompt-editor-height-resize-wrap.tsx
+++ b/web/app/components/app/configuration/config-prompt/prompt-editor-height-resize-wrap.tsx
@@ -25,7 +25,7 @@ const PromptEditorHeightResizeWrap: FC<Props> = ({
 }) => {
   const [clientY, setClientY] = useState(0)
   const [isResizing, setIsResizing] = useState(false)
-  const [prevUserSelectStyle, setPrevUserSelectStyle] = useState(getComputedStyle(document.body).userSelect)
+  const [prevUserSelectStyle, setPrevUserSelectStyle] = useState(() => getComputedStyle(document.body).userSelect)
   const [oldHeight, setOldHeight] = useState(height)
 
   const handleStartResize = useCallback((e: React.MouseEvent<HTMLElement>) => {
diff --git a/web/app/components/app/configuration/config-var/config-modal/index.tsx b/web/app/components/app/configuration/config-var/config-modal/index.tsx
index cecc076fe7..b0f0ea8779 100644
--- a/web/app/components/app/configuration/config-var/config-modal/index.tsx
+++ b/web/app/components/app/configuration/config-var/config-modal/index.tsx
@@ -53,7 +53,7 @@ const ConfigModal: FC<IConfigModalProps> = ({
 }) => {
   const { modelConfig } = useContext(ConfigContext)
   const { t } = useTranslation()
-  const [tempPayload, setTempPayload] = useState<InputVar>(payload || getNewVarInWorkflow('') as any)
+  const [tempPayload, setTempPayload] = useState<InputVar>(() => payload || getNewVarInWorkflow('') as any)
   const { type, label, variable, options, max_length } = tempPayload
   const modalRef = useRef<HTMLDivElement>(null)
   const appDetail = useAppStore(state => state.appDetail)
diff --git a/web/app/components/app/configuration/dataset-config/index.tsx b/web/app/components/app/configuration/dataset-config/index.tsx
index 6165cfdeec..65ef74bc27 100644
--- a/web/app/components/app/configuration/dataset-config/index.tsx
+++ b/web/app/components/app/configuration/dataset-config/index.tsx
@@ -65,13 +65,40 @@ const DatasetConfig: FC = () => {
   const onRemove = (id: string) => {
     const filteredDataSets = dataSet.filter(item => item.id !== id)
     setDataSet(filteredDataSets)
-    const retrievalConfig = getMultipleRetrievalConfig(datasetConfigs as any, filteredDataSets, dataSet, {
+    const { datasets, retrieval_model, score_threshold_enabled, ...restConfigs } = datasetConfigs
+    const {
+      top_k,
+      score_threshold,
+      reranking_model,
+      reranking_mode,
+      weights,
+      reranking_enable,
+    } = restConfigs
+    const oldRetrievalConfig = {
+      top_k,
+      score_threshold,
+      reranking_model: (reranking_model.reranking_provider_name && reranking_model.reranking_model_name) ? {
+        provider: reranking_model.reranking_provider_name,
+        model: reranking_model.reranking_model_name,
+      } : undefined,
+      reranking_mode,
+      weights,
+      reranking_enable,
+    }
+    const retrievalConfig = getMultipleRetrievalConfig(oldRetrievalConfig, filteredDataSets, dataSet, {
       provider: currentRerankProvider?.provider,
       model: currentRerankModel?.model,
     })
     setDatasetConfigs({
-      ...(datasetConfigs as any),
+      ...datasetConfigsRef.current,
       ...retrievalConfig,
+      reranking_model: {
+        reranking_provider_name: retrievalConfig?.reranking_model?.provider || '',
+        reranking_model_name: retrievalConfig?.reranking_model?.model || '',
+      },
+      retrieval_model,
+      score_threshold_enabled,
+      datasets,
     })
     const {
       allExternal,
diff --git a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx
index cb61b927bc..1558d32fc6 100644
--- a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx
+++ b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx
@@ -30,11 +30,11 @@ import { noop } from 'lodash-es'
 type Props = {
   datasetConfigs: DatasetConfigs
   onChange: (configs: DatasetConfigs, isRetrievalModeChange?: boolean) => void
+  selectedDatasets?: DataSet[]
   isInWorkflow?: boolean
   singleRetrievalModelConfig?: ModelConfig
   onSingleRetrievalModelChange?: (config: ModelConfig) => void
   onSingleRetrievalModelParamsChange?: (config: ModelConfig) => void
-  selectedDatasets?: DataSet[]
 }
 
 const ConfigContent: FC<Props> = ({
@@ -61,22 +61,28 @@ const ConfigContent: FC<Props> = ({
 
   const {
     modelList: rerankModelList,
+    currentModel: validDefaultRerankModel,
+    currentProvider: validDefaultRerankProvider,
   } = useModelListAndDefaultModelAndCurrentProviderAndModel(ModelTypeEnum.rerank)
 
+  /**
+   * If reranking model is set and is valid, use the reranking model
+   * Otherwise, check if the default reranking model is valid
+   */
   const {
     currentModel: currentRerankModel,
   } = useCurrentProviderAndModel(
     rerankModelList,
     {
-      provider: datasetConfigs.reranking_model?.reranking_provider_name,
-      model: datasetConfigs.reranking_model?.reranking_model_name,
+      provider: datasetConfigs.reranking_model?.reranking_provider_name || validDefaultRerankProvider?.provider || '',
+      model: datasetConfigs.reranking_model?.reranking_model_name || validDefaultRerankModel?.model || '',
     },
   )
 
   const rerankModel = useMemo(() => {
     return {
-      provider_name: datasetConfigs?.reranking_model?.reranking_provider_name ?? '',
-      model_name: datasetConfigs?.reranking_model?.reranking_model_name ?? '',
+      provider_name: datasetConfigs.reranking_model?.reranking_provider_name ?? '',
+      model_name: datasetConfigs.reranking_model?.reranking_model_name ?? '',
     }
   }, [datasetConfigs.reranking_model])
 
@@ -135,7 +141,7 @@ const ConfigContent: FC<Props> = ({
     })
   }
 
-  const model = singleRetrievalConfig
+  const model = singleRetrievalConfig // Legacy code, for compatibility, have to keep it
 
   const rerankingModeOptions = [
     {
@@ -158,7 +164,7 @@ const ConfigContent: FC<Props> = ({
 
   const canManuallyToggleRerank = useMemo(() => {
     return (selectedDatasetsMode.allInternal && selectedDatasetsMode.allEconomic)
-    || selectedDatasetsMode.allExternal
+      || selectedDatasetsMode.allExternal
   }, [selectedDatasetsMode.allEconomic, selectedDatasetsMode.allExternal, selectedDatasetsMode.allInternal])
 
   const showRerankModel = useMemo(() => {
@@ -168,7 +174,7 @@ const ConfigContent: FC<Props> = ({
     return datasetConfigs.reranking_enable
   }, [datasetConfigs.reranking_enable, canManuallyToggleRerank])
 
-  const handleDisabledSwitchClick = useCallback((enable: boolean) => {
+  const handleManuallyToggleRerank = useCallback((enable: boolean) => {
     if (!currentRerankModel && enable)
       Toast.notify({ type: 'error', message: t('workflow.errorMsg.rerankModelRequired') })
     onChange({
@@ -255,12 +261,11 @@ const ConfigContent: FC<Props> = ({
               <div className='mt-2'>
                 <div className='flex items-center'>
                   {
-                    selectedDatasetsMode.allEconomic && !selectedDatasetsMode.mixtureInternalAndExternal && (
+                    canManuallyToggleRerank && (
                       <Switch
                         size='md'
                         defaultValue={showRerankModel}
-                        disabled={!canManuallyToggleRerank}
-                        onChange={handleDisabledSwitchClick}
+                        onChange={handleManuallyToggleRerank}
                       />
                     )
                   }
diff --git a/web/app/components/app/configuration/hooks/use-advanced-prompt-config.ts b/web/app/components/app/configuration/hooks/use-advanced-prompt-config.ts
index 193ac87dd0..92958cc96d 100644
--- a/web/app/components/app/configuration/hooks/use-advanced-prompt-config.ts
+++ b/web/app/components/app/configuration/hooks/use-advanced-prompt-config.ts
@@ -35,8 +35,8 @@ const useAdvancedPromptConfig = ({
   setStop,
 }: Param) => {
   const isAdvancedPrompt = promptMode === PromptMode.advanced
-  const [chatPromptConfig, setChatPromptConfig] = useState<ChatPromptConfig>(clone(DEFAULT_CHAT_PROMPT_CONFIG))
-  const [completionPromptConfig, setCompletionPromptConfig] = useState<CompletionPromptConfig>(clone(DEFAULT_COMPLETION_PROMPT_CONFIG))
+  const [chatPromptConfig, setChatPromptConfig] = useState<ChatPromptConfig>(() => clone(DEFAULT_CHAT_PROMPT_CONFIG))
+  const [completionPromptConfig, setCompletionPromptConfig] = useState<CompletionPromptConfig>(() => clone(DEFAULT_COMPLETION_PROMPT_CONFIG))
 
   const currentAdvancedPrompt = (() => {
     if (!isAdvancedPrompt)
diff --git a/web/app/components/app/configuration/index.tsx b/web/app/components/app/configuration/index.tsx
index 091900642a..f1f81ebf97 100644
--- a/web/app/components/app/configuration/index.tsx
+++ b/web/app/components/app/configuration/index.tsx
@@ -284,18 +284,28 @@ const Configuration: FC = () => {
       setRerankSettingModalOpen(true)
 
     const { datasets, retrieval_model, score_threshold_enabled, ...restConfigs } = datasetConfigs
+    const {
+      top_k,
+      score_threshold,
+      reranking_model,
+      reranking_mode,
+      weights,
+      reranking_enable,
+    } = restConfigs
 
-    const retrievalConfig = getMultipleRetrievalConfig({
-      top_k: restConfigs.top_k,
-      score_threshold: restConfigs.score_threshold,
-      reranking_model: restConfigs.reranking_model && {
-        provider: restConfigs.reranking_model.reranking_provider_name,
-        model: restConfigs.reranking_model.reranking_model_name,
-      },
-      reranking_mode: restConfigs.reranking_mode,
-      weights: restConfigs.weights,
-      reranking_enable: restConfigs.reranking_enable,
-    }, newDatasets, dataSets, {
+    const oldRetrievalConfig = {
+      top_k,
+      score_threshold,
+      reranking_model: (reranking_model.reranking_provider_name && reranking_model.reranking_model_name) ? {
+        provider: reranking_model.reranking_provider_name,
+        model: reranking_model.reranking_model_name,
+      } : undefined,
+      reranking_mode,
+      weights,
+      reranking_enable,
+    }
+
+    const retrievalConfig = getMultipleRetrievalConfig(oldRetrievalConfig, newDatasets, dataSets, {
       provider: currentRerankProvider?.provider,
       model: currentRerankModel?.model,
     })
diff --git a/web/app/components/base/chat/chat/index.tsx b/web/app/components/base/chat/chat/index.tsx
index bee37cf2cd..a362f4dc99 100644
--- a/web/app/components/base/chat/chat/index.tsx
+++ b/web/app/components/base/chat/chat/index.tsx
@@ -160,8 +160,13 @@ const Chat: FC<ChatProps> = ({
   })
 
   useEffect(() => {
-    window.addEventListener('resize', debounce(handleWindowResize))
-    return () => window.removeEventListener('resize', handleWindowResize)
+    const debouncedHandler = debounce(handleWindowResize, 200)
+    window.addEventListener('resize', debouncedHandler)
+
+    return () => {
+      window.removeEventListener('resize', debouncedHandler)
+      debouncedHandler.cancel()
+    }
   }, [handleWindowResize])
 
   useEffect(() => {
diff --git a/web/app/components/base/chat/chat/loading-anim/style.module.css b/web/app/components/base/chat/chat/loading-anim/style.module.css
index b1371ec82a..d5a373df6f 100644
--- a/web/app/components/base/chat/chat/loading-anim/style.module.css
+++ b/web/app/components/base/chat/chat/loading-anim/style.module.css
@@ -1,6 +1,6 @@
 .dot-flashing {
   position: relative;
-  animation: 1s infinite linear alternate;
+  animation: dot-flashing 1s infinite linear alternate;
   animation-delay: 0.5s;
 }
 
@@ -10,7 +10,7 @@
   display: inline-block;
   position: absolute;
   top: 0;
-  animation: 1s infinite linear alternate;
+  animation: dot-flashing 1s infinite linear alternate;
 }
 
 .dot-flashing::before {
@@ -51,15 +51,21 @@
   border-radius: 50%;
   background-color: #667085;
   color: #667085;
-  animation-name: dot-flashing;
+  animation: dot-flashing 1s infinite linear alternate;
+}
+
+.text {
+  animation-delay: 0.5s;
 }
 
 .text::before {
   left: -7px;
+  animation-delay: 0s;
 }
 
 .text::after {
   left: 7px;
+  animation-delay: 1s;
 }
 
 .avatar,
@@ -70,13 +76,19 @@
   border-radius: 50%;
   background-color: #155EEF;
   color: #155EEF;
-  animation-name: dot-flashing-avatar;
+  animation: dot-flashing-avatar 1s infinite linear alternate;
+}
+
+.avatar {
+  animation-delay: 0.5s;
 }
 
 .avatar::before {
   left: -5px;
+  animation-delay: 0s;
 }
 
 .avatar::after {
   left: 5px;
+  animation-delay: 1s;
 }
diff --git a/web/app/components/base/date-and-time-picker/date-picker/index.tsx b/web/app/components/base/date-and-time-picker/date-picker/index.tsx
index 0957b673cd..3114e80d90 100644
--- a/web/app/components/base/date-and-time-picker/date-picker/index.tsx
+++ b/web/app/components/base/date-and-time-picker/date-picker/index.tsx
@@ -56,8 +56,8 @@ const DatePicker = ({
   const [currentDate, setCurrentDate] = useState(inputValue || defaultValue)
   const [selectedDate, setSelectedDate] = useState(inputValue)
 
-  const [selectedMonth, setSelectedMonth] = useState((inputValue || defaultValue).month())
-  const [selectedYear, setSelectedYear] = useState((inputValue || defaultValue).year())
+  const [selectedMonth, setSelectedMonth] = useState(() => (inputValue || defaultValue).month())
+  const [selectedYear, setSelectedYear] = useState(() => (inputValue || defaultValue).year())
 
   useEffect(() => {
     const handleClickOutside = (event: MouseEvent) => {
diff --git a/web/app/components/base/date-and-time-picker/time-picker/index.tsx b/web/app/components/base/date-and-time-picker/time-picker/index.tsx
index 830ba4bf0b..eb21d739af 100644
--- a/web/app/components/base/date-and-time-picker/time-picker/index.tsx
+++ b/web/app/components/base/date-and-time-picker/time-picker/index.tsx
@@ -29,7 +29,7 @@ const TimePicker = ({
   const [isOpen, setIsOpen] = useState(false)
   const containerRef = useRef<HTMLDivElement>(null)
   const isInitial = useRef(true)
-  const [selectedTime, setSelectedTime] = useState(value ? getDateWithTimezone({ timezone, date: value }) : undefined)
+  const [selectedTime, setSelectedTime] = useState(() => value ? getDateWithTimezone({ timezone, date: value }) : undefined)
 
   useEffect(() => {
     const handleClickOutside = (event: MouseEvent) => {
diff --git a/web/app/components/base/markdown-blocks/think-block.tsx b/web/app/components/base/markdown-blocks/think-block.tsx
index acceecd433..a3b0561677 100644
--- a/web/app/components/base/markdown-blocks/think-block.tsx
+++ b/web/app/components/base/markdown-blocks/think-block.tsx
@@ -37,7 +37,7 @@ const removeEndThink = (children: any): any => {
 
 const useThinkTimer = (children: any) => {
   const { isResponding } = useChatContext()
-  const [startTime] = useState(Date.now())
+  const [startTime] = useState(() => Date.now())
   const [elapsedTime, setElapsedTime] = useState(0)
   const [isComplete, setIsComplete] = useState(false)
   const timerRef = useRef<NodeJS.Timeout>()
diff --git a/web/app/components/base/notion-page-selector/base.tsx b/web/app/components/base/notion-page-selector/base.tsx
index 1c54b57a18..adf044c406 100644
--- a/web/app/components/base/notion-page-selector/base.tsx
+++ b/web/app/components/base/notion-page-selector/base.tsx
@@ -93,7 +93,7 @@ const NotionPageSelector = ({
   const defaultSelectedPagesId = useMemo(() => {
     return [...Array.from(pagesMapAndSelectedPagesId[1]), ...(value || [])]
   }, [pagesMapAndSelectedPagesId, value])
-  const [selectedPagesId, setSelectedPagesId] = useState<Set<string>>(new Set(defaultSelectedPagesId))
+  const [selectedPagesId, setSelectedPagesId] = useState<Set<string>>(() => new Set(defaultSelectedPagesId))
 
   useEffect(() => {
     setSelectedPagesId(new Set(defaultSelectedPagesId))
diff --git a/web/app/components/base/tab-slider/index.tsx b/web/app/components/base/tab-slider/index.tsx
index 56cde52154..55c44d5ea8 100644
--- a/web/app/components/base/tab-slider/index.tsx
+++ b/web/app/components/base/tab-slider/index.tsx
@@ -21,7 +21,7 @@ const TabSlider: FC<TabSliderProps> = ({
   onChange,
   options,
 }) => {
-  const [activeIndex, setActiveIndex] = useState(options.findIndex(option => option.value === value))
+  const [activeIndex, setActiveIndex] = useState(() => options.findIndex(option => option.value === value))
   const [sliderStyle, setSliderStyle] = useState({})
   const { data: pluginList } = useInstalledPluginList()
 
diff --git a/web/app/components/custom/custom-web-app-brand/index.tsx b/web/app/components/custom/custom-web-app-brand/index.tsx
index ea2f44caea..eb06265042 100644
--- a/web/app/components/custom/custom-web-app-brand/index.tsx
+++ b/web/app/components/custom/custom-web-app-brand/index.tsx
@@ -38,7 +38,7 @@ const CustomWebAppBrand = () => {
     isCurrentWorkspaceManager,
   } = useAppContext()
   const [fileId, setFileId] = useState('')
-  const [imgKey, setImgKey] = useState(Date.now())
+  const [imgKey, setImgKey] = useState(() => Date.now())
   const [uploadProgress, setUploadProgress] = useState(0)
   const systemFeatures = useGlobalPublicStore(s => s.systemFeatures)
   const isSandbox = enableBilling && plan.type === Plan.sandbox
diff --git a/web/app/components/datasets/common/retrieval-method-config/index.tsx b/web/app/components/datasets/common/retrieval-method-config/index.tsx
index 57d357442f..ed230c52ce 100644
--- a/web/app/components/datasets/common/retrieval-method-config/index.tsx
+++ b/web/app/components/datasets/common/retrieval-method-config/index.tsx
@@ -40,7 +40,7 @@ const RetrievalMethodConfig: FC<Props> = ({
       onChange({
         ...value,
         search_method: retrieveMethod,
-        ...(!value.reranking_model.reranking_model_name
+        ...((!value.reranking_model.reranking_model_name || !value.reranking_model.reranking_provider_name)
           ? {
             reranking_model: {
               reranking_provider_name: isRerankDefaultModelValid ? rerankDefaultModel?.provider?.provider ?? '' : '',
@@ -57,7 +57,7 @@ const RetrievalMethodConfig: FC<Props> = ({
       onChange({
         ...value,
         search_method: retrieveMethod,
-        ...(!value.reranking_model.reranking_model_name
+        ...((!value.reranking_model.reranking_model_name || !value.reranking_model.reranking_provider_name)
           ? {
             reranking_model: {
               reranking_provider_name: isRerankDefaultModelValid ? rerankDefaultModel?.provider?.provider ?? '' : '',
diff --git a/web/app/components/datasets/common/retrieval-param-config/index.tsx b/web/app/components/datasets/common/retrieval-param-config/index.tsx
index 216a56ab16..0c28149d56 100644
--- a/web/app/components/datasets/common/retrieval-param-config/index.tsx
+++ b/web/app/components/datasets/common/retrieval-param-config/index.tsx
@@ -54,7 +54,7 @@ const RetrievalParamConfig: FC<Props> = ({
     },
   )
 
-  const handleDisabledSwitchClick = useCallback((enable: boolean) => {
+  const handleToggleRerankEnable = useCallback((enable: boolean) => {
     if (enable && !currentModel)
       Toast.notify({ type: 'error', message: t('workflow.errorMsg.rerankModelRequired') })
     onChange({
@@ -119,7 +119,7 @@ const RetrievalParamConfig: FC<Props> = ({
               <Switch
                 size='md'
                 defaultValue={value.reranking_enable}
-                onChange={handleDisabledSwitchClick}
+                onChange={handleToggleRerankEnable}
               />
             )}
             <div className='flex items-center'>
diff --git a/web/app/components/header/account-setting/data-source-page-new/install-from-marketplace.tsx b/web/app/components/header/account-setting/data-source-page-new/install-from-marketplace.tsx
index 4c0de924d1..f4f7749f7f 100644
--- a/web/app/components/header/account-setting/data-source-page-new/install-from-marketplace.tsx
+++ b/web/app/components/header/account-setting/data-source-page-new/install-from-marketplace.tsx
@@ -52,7 +52,7 @@ const InstallFromMarketplace = ({
       <div className='flex items-center justify-between'>
         <div className='system-md-semibold flex cursor-pointer items-center gap-1 text-text-primary' onClick={() => setCollapse(!collapse)}>
           <RiArrowDownSLine className={cn('h-4 w-4', collapse && '-rotate-90')} />
-          {t('common.modelProvider.installProvider')}
+          {t('common.modelProvider.installDataSourceProvider')}
         </div>
         <div className='mb-2 flex items-center pt-2'>
           <span className='system-sm-regular pr-1 text-text-tertiary'>{t('common.modelProvider.discoverMore')}</span>
diff --git a/web/app/components/header/account-setting/model-provider-page/hooks.ts b/web/app/components/header/account-setting/model-provider-page/hooks.ts
index b10aeeb47e..48dc609795 100644
--- a/web/app/components/header/account-setting/model-provider-page/hooks.ts
+++ b/web/app/components/header/account-setting/model-provider-page/hooks.ts
@@ -323,15 +323,18 @@ export const useRefreshModel = () => {
   const { eventEmitter } = useEventEmitterContextContext()
   const updateModelProviders = useUpdateModelProviders()
   const updateModelList = useUpdateModelList()
-  const handleRefreshModel = useCallback((provider: ModelProvider, configurationMethod: ConfigurationMethodEnum, CustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => {
+  const handleRefreshModel = useCallback((
+    provider: ModelProvider,
+    CustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields,
+    refreshModelList?: boolean,
+  ) => {
     updateModelProviders()
 
     provider.supported_model_types.forEach((type) => {
       updateModelList(type)
     })
 
-    if (configurationMethod === ConfigurationMethodEnum.customizableModel
-        && provider.custom_configuration.status === CustomConfigurationStatusEnum.active) {
+    if (refreshModelList && provider.custom_configuration.status === CustomConfigurationStatusEnum.active) {
       eventEmitter?.emit({
         type: UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST,
         payload: provider.provider,
diff --git a/web/app/components/header/account-setting/model-provider-page/model-auth/hooks/use-auth.ts b/web/app/components/header/account-setting/model-provider-page/model-auth/hooks/use-auth.ts
index 14b21be7f7..3136a70563 100644
--- a/web/app/components/header/account-setting/model-provider-page/model-auth/hooks/use-auth.ts
+++ b/web/app/components/header/account-setting/model-provider-page/model-auth/hooks/use-auth.ts
@@ -90,7 +90,7 @@ export const useAuth = (
         type: 'success',
         message: t('common.api.actionSuccess'),
       })
-      handleRefreshModel(provider, configurationMethod, undefined)
+      handleRefreshModel(provider, undefined, true)
     }
     finally {
       handleSetDoingAction(false)
@@ -125,7 +125,7 @@ export const useAuth = (
         type: 'success',
         message: t('common.api.actionSuccess'),
       })
-      handleRefreshModel(provider, configurationMethod, undefined)
+      handleRefreshModel(provider, undefined, true)
       onRemove?.(pendingOperationCredentialId.current ?? '')
       closeConfirmDelete()
     }
@@ -147,7 +147,7 @@ export const useAuth = (
 
       if (res.result === 'success') {
         notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') })
-        handleRefreshModel(provider, configurationMethod, undefined)
+        handleRefreshModel(provider, undefined, !payload.credential_id)
       }
     }
     finally {
diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx
index 070c2ee90f..090147897b 100644
--- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx
+++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx
@@ -159,7 +159,7 @@ const ModelLoadBalancingModal = ({
       )
       if (res.result === 'success') {
         notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') })
-        handleRefreshModel(provider, configurateMethod, currentCustomConfigurationModelFixedFields)
+        handleRefreshModel(provider, currentCustomConfigurationModelFixedFields, false)
         onSave?.(provider.provider)
         onClose?.()
       }
diff --git a/web/app/components/header/maintenance-notice.tsx b/web/app/components/header/maintenance-notice.tsx
index 4bb4ef7f7d..bcbb344b2c 100644
--- a/web/app/components/header/maintenance-notice.tsx
+++ b/web/app/components/header/maintenance-notice.tsx
@@ -6,7 +6,7 @@ import { useLanguage } from '@/app/components/header/account-setting/model-provi
 const MaintenanceNotice = () => {
   const locale = useLanguage()
 
-  const [showNotice, setShowNotice] = useState(localStorage.getItem('hide-maintenance-notice') !== '1')
+  const [showNotice, setShowNotice] = useState(() => localStorage.getItem('hide-maintenance-notice') !== '1')
   const handleJumpNotice = () => {
     window.open(NOTICE_I18N.href, '_blank')
   }
diff --git a/web/app/components/signin/countdown.tsx b/web/app/components/signin/countdown.tsx
index 5fd6a29712..c16bd46fe4 100644
--- a/web/app/components/signin/countdown.tsx
+++ b/web/app/components/signin/countdown.tsx
@@ -12,7 +12,7 @@ type CountdownProps = {
 
 export default function Countdown({ onResend }: CountdownProps) {
   const { t } = useTranslation()
-  const [leftTime, setLeftTime] = useState(Number(localStorage.getItem(COUNT_DOWN_KEY) || COUNT_DOWN_TIME_MS))
+  const [leftTime, setLeftTime] = useState(() => Number(localStorage.getItem(COUNT_DOWN_KEY) || COUNT_DOWN_TIME_MS))
   const [time] = useCountDown({
     leftTime,
     onEnd: () => {
diff --git a/web/app/components/tools/mcp/modal.tsx b/web/app/components/tools/mcp/modal.tsx
index 211d594caf..1a12b3b3e9 100644
--- a/web/app/components/tools/mcp/modal.tsx
+++ b/web/app/components/tools/mcp/modal.tsx
@@ -65,7 +65,7 @@ const MCPModal = ({
   const originalServerID = data?.server_identifier
   const [url, setUrl] = React.useState(data?.server_url || '')
   const [name, setName] = React.useState(data?.name || '')
-  const [appIcon, setAppIcon] = useState<AppIconSelection>(getIcon(data))
+  const [appIcon, setAppIcon] = useState<AppIconSelection>(() => getIcon(data))
   const [showAppIconPicker, setShowAppIconPicker] = useState(false)
   const [serverIdentifier, setServerIdentifier] = React.useState(data?.server_identifier || '')
   const [timeout, setMcpTimeout] = React.useState(data?.timeout || 30)
diff --git a/web/app/components/tools/provider-list.tsx b/web/app/components/tools/provider-list.tsx
index d267b49c79..08a4aa0b5d 100644
--- a/web/app/components/tools/provider-list.tsx
+++ b/web/app/components/tools/provider-list.tsx
@@ -17,7 +17,7 @@ import CardMoreInfo from '@/app/components/plugins/card/card-more-info'
 import PluginDetailPanel from '@/app/components/plugins/plugin-detail-panel'
 import MCPList from './mcp'
 import { useAllToolProviders } from '@/service/use-tools'
-import { useInstalledPluginList, useInvalidateInstalledPluginList } from '@/service/use-plugins'
+import { useCheckInstalled, useInvalidateInstalledPluginList } from '@/service/use-plugins'
 import { useGlobalPublicStore } from '@/context/global-public-context'
 import { ToolTypeEnum } from '../workflow/block-selector/types'
 import { useMarketplace } from './marketplace/hooks'
@@ -77,12 +77,14 @@ const ProviderList = () => {
   const currentProvider = useMemo<Collection | undefined>(() => {
     return filteredCollectionList.find(collection => collection.id === currentProviderId)
   }, [currentProviderId, filteredCollectionList])
-  const { data: pluginList } = useInstalledPluginList()
+  const { data: checkedInstalledData } = useCheckInstalled({
+    pluginIds: currentProvider?.plugin_id ? [currentProvider.plugin_id] : [],
+    enabled: !!currentProvider?.plugin_id,
+  })
   const invalidateInstalledPluginList = useInvalidateInstalledPluginList()
   const currentPluginDetail = useMemo(() => {
-    const detail = pluginList?.plugins.find(plugin => plugin.plugin_id === currentProvider?.plugin_id)
-    return detail
-  }, [currentProvider?.plugin_id, pluginList?.plugins])
+    return checkedInstalledData?.plugins?.[0]
+  }, [checkedInstalledData])
 
   const toolListTailRef = useRef<HTMLDivElement>(null)
   const showMarketplacePanel = useCallback(() => {
diff --git a/web/app/components/workflow/nodes/_base/hooks/use-resize-panel.ts b/web/app/components/workflow/nodes/_base/hooks/use-resize-panel.ts
index f2259a02cf..336c440d58 100644
--- a/web/app/components/workflow/nodes/_base/hooks/use-resize-panel.ts
+++ b/web/app/components/workflow/nodes/_base/hooks/use-resize-panel.ts
@@ -33,7 +33,7 @@ export const useResizePanel = (params?: UseResizePanelParams) => {
   const initContainerWidthRef = useRef(0)
   const initContainerHeightRef = useRef(0)
   const isResizingRef = useRef(false)
-  const [prevUserSelectStyle, setPrevUserSelectStyle] = useState(getComputedStyle(document.body).userSelect)
+  const [prevUserSelectStyle, setPrevUserSelectStyle] = useState(() => getComputedStyle(document.body).userSelect)
 
   const handleStartResize = useCallback((e: MouseEvent) => {
     initXRef.current = e.clientX
diff --git a/web/app/components/workflow/nodes/http/hooks/use-key-value-list.ts b/web/app/components/workflow/nodes/http/hooks/use-key-value-list.ts
index a61cad646f..44774074dc 100644
--- a/web/app/components/workflow/nodes/http/hooks/use-key-value-list.ts
+++ b/web/app/components/workflow/nodes/http/hooks/use-key-value-list.ts
@@ -16,7 +16,7 @@ const strToKeyValueList = (value: string) => {
 }
 
 const useKeyValueList = (value: string, onChange: (value: string) => void, noFilter?: boolean) => {
-  const [list, doSetList] = useState<KeyValue[]>(value ? strToKeyValueList(value) : [])
+  const [list, doSetList] = useState<KeyValue[]>(() => value ? strToKeyValueList(value) : [])
   const setList = (l: KeyValue[]) => {
     doSetList(l.map((item) => {
       return {
diff --git a/web/app/components/workflow/nodes/knowledge-base/components/option-card.tsx b/web/app/components/workflow/nodes/knowledge-base/components/option-card.tsx
index c15157fc5c..789e24835f 100644
--- a/web/app/components/workflow/nodes/knowledge-base/components/option-card.tsx
+++ b/web/app/components/workflow/nodes/knowledge-base/components/option-card.tsx
@@ -86,7 +86,10 @@ const OptionCard = memo(({
         readonly && 'cursor-not-allowed',
         wrapperClassName && (typeof wrapperClassName === 'function' ? wrapperClassName(isActive) : wrapperClassName),
       )}
-      onClick={() => !readonly && enableSelect && id && onClick?.(id)}
+      onClick={(e) => {
+        e.stopPropagation()
+        !readonly && enableSelect && id && onClick?.(id)
+      }}
     >
       <div className={cn(
         'relative flex rounded-t-xl p-2',
diff --git a/web/app/components/workflow/nodes/knowledge-base/default.ts b/web/app/components/workflow/nodes/knowledge-base/default.ts
index 8175e2ac9e..190addde4d 100644
--- a/web/app/components/workflow/nodes/knowledge-base/default.ts
+++ b/web/app/components/workflow/nodes/knowledge-base/default.ts
@@ -2,6 +2,7 @@ import type { NodeDefault } from '../../types'
 import type { KnowledgeBaseNodeType } from './types'
 import { genNodeMetaData } from '@/app/components/workflow/utils'
 import { BlockEnum } from '@/app/components/workflow/types'
+import { IndexingType } from '@/app/components/datasets/create/step-two'
 
 const metaData = genNodeMetaData({
   sort: 3.1,
@@ -27,8 +28,17 @@ const nodeDefault: NodeDefault<KnowledgeBaseNodeType> = {
       chunk_structure,
       indexing_technique,
       retrieval_model,
+      embedding_model,
+      embedding_model_provider,
+      index_chunk_variable_selector,
     } = payload
 
+    const {
+      search_method,
+      reranking_enable,
+      reranking_model,
+    } = retrieval_model || {}
+
     if (!chunk_structure) {
       return {
         isValid: false,
@@ -36,6 +46,13 @@ const nodeDefault: NodeDefault<KnowledgeBaseNodeType> = {
       }
     }
 
+    if (index_chunk_variable_selector.length === 0) {
+      return {
+        isValid: false,
+        errorMessage: t('workflow.nodes.knowledgeBase.chunksVariableIsRequired'),
+      }
+    }
+
     if (!indexing_technique) {
       return {
         isValid: false,
@@ -43,13 +60,27 @@ const nodeDefault: NodeDefault<KnowledgeBaseNodeType> = {
       }
     }
 
-    if (!retrieval_model || !retrieval_model.search_method) {
+    if (indexing_technique === IndexingType.QUALIFIED && (!embedding_model || !embedding_model_provider)) {
+      return {
+        isValid: false,
+        errorMessage: t('workflow.nodes.knowledgeBase.embeddingModelIsRequired'),
+      }
+    }
+
+    if (!retrieval_model || !search_method) {
       return {
         isValid: false,
         errorMessage: t('workflow.nodes.knowledgeBase.retrievalSettingIsRequired'),
       }
     }
 
+    if (reranking_enable && (!reranking_model || !reranking_model.reranking_provider_name || !reranking_model.reranking_model_name)) {
+      return {
+        isValid: false,
+        errorMessage: t('workflow.nodes.knowledgeBase.rerankingModelIsRequired'),
+      }
+    }
+
     return {
       isValid: true,
       errorMessage: '',
diff --git a/web/app/components/workflow/nodes/knowledge-base/hooks/use-config.ts b/web/app/components/workflow/nodes/knowledge-base/hooks/use-config.ts
index 365722feba..8b22704c5a 100644
--- a/web/app/components/workflow/nodes/knowledge-base/hooks/use-config.ts
+++ b/web/app/components/workflow/nodes/knowledge-base/hooks/use-config.ts
@@ -9,13 +9,17 @@ import {
   ChunkStructureEnum,
   IndexMethodEnum,
   RetrievalSearchMethodEnum,
+  WeightedScoreEnum,
 } from '../types'
 import type {
-  HybridSearchModeEnum,
   KnowledgeBaseNodeType,
   RerankingModel,
 } from '../types'
+import {
+  HybridSearchModeEnum,
+} from '../types'
 import { isHighQualitySearchMethod } from '../utils'
+import { DEFAULT_WEIGHTED_SCORE, RerankingModeEnum } from '@/models/datasets'
 
 export const useConfig = (id: string) => {
   const store = useStoreApi()
@@ -35,6 +39,25 @@ export const useConfig = (id: string) => {
     })
   }, [id, handleNodeDataUpdateWithSyncDraft])
 
+  const getDefaultWeights = useCallback(({
+    embeddingModel,
+    embeddingModelProvider,
+  }: {
+    embeddingModel: string
+    embeddingModelProvider: string
+  }) => {
+    return {
+      vector_setting: {
+        vector_weight: DEFAULT_WEIGHTED_SCORE.other.semantic,
+        embedding_provider_name: embeddingModelProvider || '',
+        embedding_model_name: embeddingModel,
+      },
+      keyword_setting: {
+        keyword_weight: DEFAULT_WEIGHTED_SCORE.other.keyword,
+      },
+    }
+  }, [])
+
   const handleChunkStructureChange = useCallback((chunkStructure: ChunkStructureEnum) => {
     const nodeData = getNodeData()
     const {
@@ -80,39 +103,72 @@ export const useConfig = (id: string) => {
     embeddingModelProvider: string
   }) => {
     const nodeData = getNodeData()
-    handleNodeDataUpdate({
+    const defaultWeights = getDefaultWeights({
+      embeddingModel,
+      embeddingModelProvider,
+    })
+    const changeData = {
       embedding_model: embeddingModel,
       embedding_model_provider: embeddingModelProvider,
       retrieval_model: {
         ...nodeData?.data.retrieval_model,
-        vector_setting: {
-          ...nodeData?.data.retrieval_model.vector_setting,
-          embedding_provider_name: embeddingModelProvider,
-          embedding_model_name: embeddingModel,
-        },
       },
-    })
-  }, [getNodeData, handleNodeDataUpdate])
+    }
+    if (changeData.retrieval_model.weights) {
+      changeData.retrieval_model = {
+        ...changeData.retrieval_model,
+        weights: {
+          ...changeData.retrieval_model.weights,
+          vector_setting: {
+            ...changeData.retrieval_model.weights.vector_setting,
+            embedding_provider_name: embeddingModelProvider,
+            embedding_model_name: embeddingModel,
+          },
+        },
+      }
+    }
+    else {
+      changeData.retrieval_model = {
+        ...changeData.retrieval_model,
+        weights: defaultWeights,
+      }
+    }
+    handleNodeDataUpdate(changeData)
+  }, [getNodeData, getDefaultWeights, handleNodeDataUpdate])
 
   const handleRetrievalSearchMethodChange = useCallback((searchMethod: RetrievalSearchMethodEnum) => {
     const nodeData = getNodeData()
-    handleNodeDataUpdate({
+    const changeData = {
       retrieval_model: {
         ...nodeData?.data.retrieval_model,
         search_method: searchMethod,
+        reranking_mode: nodeData?.data.retrieval_model.reranking_mode || RerankingModeEnum.RerankingModel,
       },
-    })
+    }
+    if (searchMethod === RetrievalSearchMethodEnum.hybrid) {
+      changeData.retrieval_model = {
+        ...changeData.retrieval_model,
+        reranking_enable: changeData.retrieval_model.reranking_mode === RerankingModeEnum.RerankingModel,
+      }
+    }
+    handleNodeDataUpdate(changeData)
   }, [getNodeData, handleNodeDataUpdate])
 
   const handleHybridSearchModeChange = useCallback((hybridSearchMode: HybridSearchModeEnum) => {
     const nodeData = getNodeData()
+    const defaultWeights = getDefaultWeights({
+      embeddingModel: nodeData?.data.embedding_model || '',
+      embeddingModelProvider: nodeData?.data.embedding_model_provider || '',
+    })
     handleNodeDataUpdate({
       retrieval_model: {
         ...nodeData?.data.retrieval_model,
         reranking_mode: hybridSearchMode,
+        reranking_enable: hybridSearchMode === HybridSearchModeEnum.RerankingModel,
+        weights: nodeData?.data.retrieval_model.weights || defaultWeights,
       },
     })
-  }, [getNodeData, handleNodeDataUpdate])
+  }, [getNodeData, getDefaultWeights, handleNodeDataUpdate])
 
   const handleRerankingModelEnabledChange = useCallback((rerankingModelEnabled: boolean) => {
     const nodeData = getNodeData()
@@ -130,11 +186,10 @@ export const useConfig = (id: string) => {
       retrieval_model: {
         ...nodeData?.data.retrieval_model,
         weights: {
-          weight_type: 'weighted_score',
+          weight_type: WeightedScoreEnum.Customized,
           vector_setting: {
+            ...nodeData?.data.retrieval_model.weights?.vector_setting,
             vector_weight: weightedScore.value[0],
-            embedding_provider_name: '',
-            embedding_model_name: '',
           },
           keyword_setting: {
             keyword_weight: weightedScore.value[1],
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/retrieval-config.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/retrieval-config.tsx
index 8a3dc1efba..619216d672 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/components/retrieval-config.tsx
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/components/retrieval-config.tsx
@@ -1,6 +1,6 @@
 'use client'
 import type { FC } from 'react'
-import React, { useCallback, useState } from 'react'
+import React, { useCallback, useMemo } from 'react'
 import { RiEqualizer2Line } from '@remixicon/react'
 import { useTranslation } from 'react-i18next'
 import type { MultipleRetrievalConfig, SingleRetrievalConfig } from '../types'
@@ -14,8 +14,6 @@ import {
 import ConfigRetrievalContent from '@/app/components/app/configuration/dataset-config/params-config/config-content'
 import { RETRIEVE_TYPE } from '@/types/app'
 import { DATASET_DEFAULT } from '@/config'
-import { useModelListAndDefaultModelAndCurrentProviderAndModel } from '@/app/components/header/account-setting/model-provider-page/hooks'
-import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
 import Button from '@/app/components/base/button'
 import type { DatasetConfigs } from '@/models/debug'
 import type { DataSet } from '@/models/datasets'
@@ -32,8 +30,8 @@ type Props = {
   onSingleRetrievalModelChange?: (config: ModelConfig) => void
   onSingleRetrievalModelParamsChange?: (config: ModelConfig) => void
   readonly?: boolean
-  openFromProps?: boolean
-  onOpenFromPropsChange?: (openFromProps: boolean) => void
+  rerankModalOpen: boolean
+  onRerankModelOpenChange: (open: boolean) => void
   selectedDatasets: DataSet[]
 }
 
@@ -45,26 +43,52 @@ const RetrievalConfig: FC<Props> = ({
   onSingleRetrievalModelChange,
   onSingleRetrievalModelParamsChange,
   readonly,
-  openFromProps,
-  onOpenFromPropsChange,
+  rerankModalOpen,
+  onRerankModelOpenChange,
   selectedDatasets,
 }) => {
   const { t } = useTranslation()
-  const [open, setOpen] = useState(false)
-  const mergedOpen = openFromProps !== undefined ? openFromProps : open
+  const { retrieval_mode, multiple_retrieval_config } = payload
 
   const handleOpen = useCallback((newOpen: boolean) => {
-    setOpen(newOpen)
-    onOpenFromPropsChange?.(newOpen)
-  }, [onOpenFromPropsChange])
+    onRerankModelOpenChange(newOpen)
+  }, [onRerankModelOpenChange])
 
-  const {
-    currentProvider: validRerankDefaultProvider,
-    currentModel: validRerankDefaultModel,
-  } = useModelListAndDefaultModelAndCurrentProviderAndModel(ModelTypeEnum.rerank)
+  const datasetConfigs = useMemo(() => {
+    const {
+      reranking_model,
+      top_k,
+      score_threshold,
+      reranking_mode,
+      weights,
+      reranking_enable,
+    } = multiple_retrieval_config || {}
+
+    return {
+      retrieval_model: retrieval_mode,
+      reranking_model: (reranking_model?.provider && reranking_model?.model)
+        ? {
+          reranking_provider_name: reranking_model?.provider,
+          reranking_model_name: reranking_model?.model,
+        }
+        : {
+          reranking_provider_name: '',
+          reranking_model_name: '',
+        },
+      top_k: top_k || DATASET_DEFAULT.top_k,
+      score_threshold_enabled: !(score_threshold === undefined || score_threshold === null),
+      score_threshold,
+      datasets: {
+        datasets: [],
+      },
+      reranking_mode,
+      weights,
+      reranking_enable,
+    }
+  }, [retrieval_mode, multiple_retrieval_config])
 
-  const { multiple_retrieval_config } = payload
   const handleChange = useCallback((configs: DatasetConfigs, isRetrievalModeChange?: boolean) => {
+    // Legacy code, for compatibility, have to keep it
     if (isRetrievalModeChange) {
       onRetrievalModeChange(configs.retrieval_model)
       return
@@ -72,13 +96,11 @@ const RetrievalConfig: FC<Props> = ({
     onMultipleRetrievalConfigChange({
       top_k: configs.top_k,
       score_threshold: configs.score_threshold_enabled ? (configs.score_threshold ?? DATASET_DEFAULT.score_threshold) : null,
-      reranking_model: payload.retrieval_mode === RETRIEVE_TYPE.oneWay
+      reranking_model: retrieval_mode === RETRIEVE_TYPE.oneWay
         ? undefined
+        // eslint-disable-next-line sonarjs/no-nested-conditional
         : (!configs.reranking_model?.reranking_provider_name
-          ? {
-            provider: validRerankDefaultProvider?.provider || '',
-            model: validRerankDefaultModel?.model || '',
-          }
+          ? undefined
           : {
             provider: configs.reranking_model?.reranking_provider_name,
             model: configs.reranking_model?.reranking_model_name,
@@ -87,11 +109,11 @@ const RetrievalConfig: FC<Props> = ({
       weights: configs.weights,
       reranking_enable: configs.reranking_enable,
     })
-  }, [onMultipleRetrievalConfigChange, payload.retrieval_mode, validRerankDefaultProvider, validRerankDefaultModel, onRetrievalModeChange])
+  }, [onMultipleRetrievalConfigChange, retrieval_mode, onRetrievalModeChange])
 
   return (
     <PortalToFollowElem
-      open={mergedOpen}
+      open={rerankModalOpen}
       onOpenChange={handleOpen}
       placement='bottom-end'
       offset={{
@@ -102,14 +124,14 @@ const RetrievalConfig: FC<Props> = ({
         onClick={() => {
           if (readonly)
             return
-          handleOpen(!mergedOpen)
+          handleOpen(!rerankModalOpen)
         }}
       >
         <Button
           variant='ghost'
           size='small'
           disabled={readonly}
-          className={cn(open && 'bg-components-button-ghost-bg-hover')}
+          className={cn(rerankModalOpen && 'bg-components-button-ghost-bg-hover')}
         >
           <RiEqualizer2Line className='mr-1 h-3.5 w-3.5' />
           {t('dataset.retrievalSettings')}
@@ -118,35 +140,13 @@ const RetrievalConfig: FC<Props> = ({
       <PortalToFollowElemContent style={{ zIndex: 1001 }}>
         <div className='w-[404px] rounded-2xl border border-components-panel-border bg-components-panel-bg  px-4 pb-4 pt-3  shadow-xl'>
           <ConfigRetrievalContent
-            datasetConfigs={
-              {
-                retrieval_model: payload.retrieval_mode,
-                reranking_model: multiple_retrieval_config?.reranking_model?.provider
-                  ? {
-                    reranking_provider_name: multiple_retrieval_config.reranking_model?.provider,
-                    reranking_model_name: multiple_retrieval_config.reranking_model?.model,
-                  }
-                  : {
-                    reranking_provider_name: '',
-                    reranking_model_name: '',
-                  },
-                top_k: multiple_retrieval_config?.top_k || DATASET_DEFAULT.top_k,
-                score_threshold_enabled: !(multiple_retrieval_config?.score_threshold === undefined || multiple_retrieval_config.score_threshold === null),
-                score_threshold: multiple_retrieval_config?.score_threshold,
-                datasets: {
-                  datasets: [],
-                },
-                reranking_mode: multiple_retrieval_config?.reranking_mode,
-                weights: multiple_retrieval_config?.weights,
-                reranking_enable: multiple_retrieval_config?.reranking_enable,
-              }
-            }
+            datasetConfigs={datasetConfigs}
             onChange={handleChange}
+            selectedDatasets={selectedDatasets}
             isInWorkflow
             singleRetrievalModelConfig={singleRetrievalModelConfig}
             onSingleRetrievalModelChange={onSingleRetrievalModelChange}
             onSingleRetrievalModelParamsChange={onSingleRetrievalModelParamsChange}
-            selectedDatasets={selectedDatasets}
           />
         </div>
       </PortalToFollowElemContent>
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/default.ts b/web/app/components/workflow/nodes/knowledge-retrieval/default.ts
index 5b2cd737ed..44d26cf5cc 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/default.ts
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/default.ts
@@ -1,6 +1,6 @@
 import type { NodeDefault } from '../../types'
 import type { KnowledgeRetrievalNodeType } from './types'
-import { checkoutRerankModelConfigedInRetrievalSettings } from './utils'
+import { checkoutRerankModelConfiguredInRetrievalSettings } from './utils'
 import { DATASET_DEFAULT } from '@/config'
 import { RETRIEVE_TYPE } from '@/types/app'
 import { genNodeMetaData } from '@/app/components/workflow/utils'
@@ -36,7 +36,7 @@ const nodeDefault: NodeDefault<KnowledgeRetrievalNodeType> = {
 
     const { _datasets, multiple_retrieval_config, retrieval_mode } = payload
     if (retrieval_mode === RETRIEVE_TYPE.multiWay) {
-      const checked = checkoutRerankModelConfigedInRetrievalSettings(_datasets || [], multiple_retrieval_config)
+      const checked = checkoutRerankModelConfiguredInRetrievalSettings(_datasets || [], multiple_retrieval_config)
 
       if (!errorMessages && !checked)
         errorMessages = t(`${i18nPrefix}.errorMsg.fieldRequired`, { field: t(`${i18nPrefix}.errorMsg.fields.rerankModel`) })
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/panel.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/panel.tsx
index 267a0ef797..88f7cc1418 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/panel.tsx
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/panel.tsx
@@ -1,7 +1,6 @@
 import type { FC } from 'react'
 import {
   memo,
-  useCallback,
   useMemo,
 } from 'react'
 import { intersectionBy } from 'lodash-es'
@@ -53,10 +52,6 @@ const Panel: FC<NodePanelProps<KnowledgeRetrievalNodeType>> = ({
     availableNumberNodesWithParent,
   } = useConfig(id, data)
 
-  const handleOpenFromPropsChange = useCallback((openFromProps: boolean) => {
-    setRerankModelOpen(openFromProps)
-  }, [setRerankModelOpen])
-
   const metadataList = useMemo(() => {
     return intersectionBy(...selectedDatasets.filter((dataset) => {
       return !!dataset.doc_metadata
@@ -68,7 +63,6 @@ const Panel: FC<NodePanelProps<KnowledgeRetrievalNodeType>> = ({
   return (
     <div className='pt-2'>
       <div className='space-y-4 px-4 pb-2'>
-        {/* {JSON.stringify(inputs, null, 2)} */}
         <Field
           title={t(`${i18nPrefix}.queryVariable`)}
           required
@@ -100,8 +94,8 @@ const Panel: FC<NodePanelProps<KnowledgeRetrievalNodeType>> = ({
                 onSingleRetrievalModelChange={handleModelChanged as any}
                 onSingleRetrievalModelParamsChange={handleCompletionParamsChange}
                 readonly={readOnly || !selectedDatasets.length}
-                openFromProps={rerankModelOpen}
-                onOpenFromPropsChange={handleOpenFromPropsChange}
+                rerankModalOpen={rerankModelOpen}
+                onRerankModelOpenChange={setRerankModelOpen}
                 selectedDatasets={selectedDatasets}
               />
               {!readOnly && (<div className='h-3 w-px bg-divider-regular'></div>)}
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/use-config.ts b/web/app/components/workflow/nodes/knowledge-retrieval/use-config.ts
index 47e376cdc6..8a1f2d8455 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/use-config.ts
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/use-config.ts
@@ -204,10 +204,11 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
 
   const handleMultipleRetrievalConfigChange = useCallback((newConfig: MultipleRetrievalConfig) => {
     const newInputs = produce(inputs, (draft) => {
-      draft.multiple_retrieval_config = getMultipleRetrievalConfig(newConfig!, selectedDatasets, selectedDatasets, {
+      const newMultipleRetrievalConfig = getMultipleRetrievalConfig(newConfig!, selectedDatasets, selectedDatasets, {
         provider: currentRerankProvider?.provider,
         model: currentRerankModel?.model,
       })
+      draft.multiple_retrieval_config = newMultipleRetrievalConfig
     })
     setInputs(newInputs)
   }, [inputs, setInputs, selectedDatasets, currentRerankModel, currentRerankProvider])
@@ -254,10 +255,11 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
 
       if (payload.retrieval_mode === RETRIEVE_TYPE.multiWay && newDatasets.length > 0) {
         const multipleRetrievalConfig = draft.multiple_retrieval_config
-        draft.multiple_retrieval_config = getMultipleRetrievalConfig(multipleRetrievalConfig!, newDatasets, selectedDatasets, {
+        const newMultipleRetrievalConfig = getMultipleRetrievalConfig(multipleRetrievalConfig!, newDatasets, selectedDatasets, {
           provider: currentRerankProvider?.provider,
           model: currentRerankModel?.model,
         })
+        draft.multiple_retrieval_config = newMultipleRetrievalConfig
       }
     })
     updateDatasetsDetail(newDatasets)
diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
index 3821a7a052..719aa57f2f 100644
--- a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
+++ b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts
@@ -10,6 +10,7 @@ import type {
 import {
   DEFAULT_WEIGHTED_SCORE,
   RerankingModeEnum,
+  WeightedScoreEnum,
 } from '@/models/datasets'
 import { RETRIEVE_METHOD } from '@/types/app'
 import { DATASET_DEFAULT } from '@/config'
@@ -93,10 +94,12 @@ export const getMultipleRetrievalConfig = (
   multipleRetrievalConfig: MultipleRetrievalConfig,
   selectedDatasets: DataSet[],
   originalDatasets: DataSet[],
-  validRerankModel?: { provider?: string; model?: string },
+  fallbackRerankModel?: { provider?: string; model?: string }, // fallback rerank model
 ) => {
-  const shouldSetWeightDefaultValue = xorBy(selectedDatasets, originalDatasets, 'id').length > 0
-  const rerankModelIsValid = validRerankModel?.provider && validRerankModel?.model
+  // Check if the selected datasets are different from the original datasets
+  const isDatasetsChanged = xorBy(selectedDatasets, originalDatasets, 'id').length > 0
+  // Check if the rerank model is valid
+  const isFallbackRerankModelValid = !!(fallbackRerankModel?.provider && fallbackRerankModel?.model)
 
   const {
     allHighQuality,
@@ -125,14 +128,16 @@ export const getMultipleRetrievalConfig = (
     reranking_mode,
     reranking_model,
     weights,
-    reranking_enable: ((allInternal && allEconomic) || allExternal) ? reranking_enable : shouldSetWeightDefaultValue,
+    reranking_enable,
   }
 
   const setDefaultWeights = () => {
     result.weights = {
+      weight_type: WeightedScoreEnum.Customized,
       vector_setting: {
         vector_weight: allHighQualityVectorSearch
           ? DEFAULT_WEIGHTED_SCORE.allHighQualityVectorSearch.semantic
+          // eslint-disable-next-line sonarjs/no-nested-conditional
           : allHighQualityFullTextSearch
             ? DEFAULT_WEIGHTED_SCORE.allHighQualityFullTextSearch.semantic
             : DEFAULT_WEIGHTED_SCORE.other.semantic,
@@ -142,6 +147,7 @@ export const getMultipleRetrievalConfig = (
       keyword_setting: {
         keyword_weight: allHighQualityVectorSearch
           ? DEFAULT_WEIGHTED_SCORE.allHighQualityVectorSearch.keyword
+          // eslint-disable-next-line sonarjs/no-nested-conditional
           : allHighQualityFullTextSearch
             ? DEFAULT_WEIGHTED_SCORE.allHighQualityFullTextSearch.keyword
             : DEFAULT_WEIGHTED_SCORE.other.keyword,
@@ -149,65 +155,106 @@ export const getMultipleRetrievalConfig = (
     }
   }
 
-  if (allEconomic || mixtureHighQualityAndEconomic || inconsistentEmbeddingModel || allExternal || mixtureInternalAndExternal) {
+  /**
+   * In this case, user can manually toggle reranking
+   * So should keep the reranking_enable value
+   * But the default reranking_model should be set
+   */
+  if ((allEconomic && allInternal) || allExternal) {
     result.reranking_mode = RerankingModeEnum.RerankingModel
-    if (!result.reranking_model?.provider || !result.reranking_model?.model) {
-      if (rerankModelIsValid) {
-        result.reranking_enable = reranking_enable !== false
-
-        result.reranking_model = {
-          provider: validRerankModel?.provider || '',
-          model: validRerankModel?.model || '',
-        }
-      }
-      else {
-        result.reranking_model = {
-          provider: '',
-          model: '',
-        }
+    // Need to check if the reranking model should be set to default when first time initialized
+    if ((!result.reranking_model?.provider || !result.reranking_model?.model) && isFallbackRerankModelValid) {
+      result.reranking_model = {
+        provider: fallbackRerankModel.provider || '',
+        model: fallbackRerankModel.model || '',
       }
     }
-    else {
-      result.reranking_enable = reranking_enable !== false
-    }
+    result.reranking_enable = reranking_enable
   }
 
+  /**
+   * In this case, reranking_enable must be true
+   * And if rerank model is not set, should set the default rerank model
+   */
+  if (mixtureHighQualityAndEconomic || inconsistentEmbeddingModel || mixtureInternalAndExternal) {
+    result.reranking_mode = RerankingModeEnum.RerankingModel
+    // Need to check if the reranking model should be set to default when first time initialized
+    if ((!result.reranking_model?.provider || !result.reranking_model?.model) && isFallbackRerankModelValid) {
+      result.reranking_model = {
+        provider: fallbackRerankModel.provider || '',
+        model: fallbackRerankModel.model || '',
+      }
+    }
+    result.reranking_enable = true
+  }
+
+  /**
+   * In this case, user can choose to use weighted score or rerank model
+   * But if the reranking_mode is not initialized, should set the default rerank model and reranking_enable to true
+   * and set reranking_mode to reranking_model
+   */
   if (allHighQuality && !inconsistentEmbeddingModel && allInternal) {
+    // If not initialized, check if the default rerank model is valid
     if (!reranking_mode) {
-      if (validRerankModel?.provider && validRerankModel?.model) {
+      if (isFallbackRerankModelValid) {
         result.reranking_mode = RerankingModeEnum.RerankingModel
-        result.reranking_enable = reranking_enable !== false
+        result.reranking_enable = true
 
         result.reranking_model = {
-          provider: validRerankModel.provider,
-          model: validRerankModel.model,
+          provider: fallbackRerankModel.provider || '',
+          model: fallbackRerankModel.model || '',
         }
       }
       else {
         result.reranking_mode = RerankingModeEnum.WeightedScore
+        result.reranking_enable = false
         setDefaultWeights()
       }
     }
 
-    if (reranking_mode === RerankingModeEnum.WeightedScore && !weights)
-      setDefaultWeights()
-
-    if (reranking_mode === RerankingModeEnum.WeightedScore && weights && shouldSetWeightDefaultValue) {
-      if (rerankModelIsValid) {
-        result.reranking_mode = RerankingModeEnum.RerankingModel
-        result.reranking_enable = reranking_enable !== false
-
+    // After initialization, if datasets has no change, make sure the config has correct value
+    if (reranking_mode === RerankingModeEnum.WeightedScore) {
+      result.reranking_enable = false
+      if (!weights)
+        setDefaultWeights()
+    }
+    if (reranking_mode === RerankingModeEnum.RerankingModel) {
+      if ((!result.reranking_model?.provider || !result.reranking_model?.model) && isFallbackRerankModelValid) {
         result.reranking_model = {
-          provider: validRerankModel.provider || '',
-          model: validRerankModel.model || '',
+          provider: fallbackRerankModel.provider || '',
+          model: fallbackRerankModel.model || '',
+        }
+      }
+      result.reranking_enable = true
+    }
+
+    // Need to check if reranking_mode should be set to reranking_model when datasets changed
+    if (reranking_mode === RerankingModeEnum.WeightedScore && weights && isDatasetsChanged) {
+      if ((result.reranking_model?.provider && result.reranking_model?.model) || isFallbackRerankModelValid) {
+        result.reranking_mode = RerankingModeEnum.RerankingModel
+        result.reranking_enable = true
+
+        // eslint-disable-next-line sonarjs/nested-control-flow
+        if ((!result.reranking_model?.provider || !result.reranking_model?.model) && isFallbackRerankModelValid) {
+          result.reranking_model = {
+            provider: fallbackRerankModel.provider || '',
+            model: fallbackRerankModel.model || '',
+          }
         }
       }
       else {
         setDefaultWeights()
       }
     }
-    if (reranking_mode === RerankingModeEnum.RerankingModel && !rerankModelIsValid && shouldSetWeightDefaultValue) {
+    // Need to switch to weighted score when reranking model is not valid and datasets changed
+    if (
+      reranking_mode === RerankingModeEnum.RerankingModel
+      && (!result.reranking_model?.provider || !result.reranking_model?.model)
+      && !isFallbackRerankModelValid
+      && isDatasetsChanged
+    ) {
       result.reranking_mode = RerankingModeEnum.WeightedScore
+      result.reranking_enable = false
       setDefaultWeights()
     }
   }
@@ -215,7 +262,7 @@ export const getMultipleRetrievalConfig = (
   return result
 }
 
-export const checkoutRerankModelConfigedInRetrievalSettings = (
+export const checkoutRerankModelConfiguredInRetrievalSettings = (
   datasets: DataSet[],
   multipleRetrievalConfig?: MultipleRetrievalConfig,
 ) => {
@@ -225,6 +272,7 @@ export const checkoutRerankModelConfigedInRetrievalSettings = (
   const {
     allEconomic,
     allExternal,
+    allInternal,
   } = getSelectedDatasetsMode(datasets)
 
   const {
@@ -233,12 +281,8 @@ export const checkoutRerankModelConfigedInRetrievalSettings = (
     reranking_model,
   } = multipleRetrievalConfig
 
-  if (reranking_mode === RerankingModeEnum.RerankingModel && (!reranking_model?.provider || !reranking_model?.model)) {
-    if ((allEconomic || allExternal) && !reranking_enable)
-      return true
-
-    return false
-  }
+  if (reranking_mode === RerankingModeEnum.RerankingModel && (!reranking_model?.provider || !reranking_model?.model))
+    return ((allEconomic && allInternal) || allExternal) && !reranking_enable
 
   return true
 }
diff --git a/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/json-schema-config.tsx b/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/json-schema-config.tsx
index b87dc6e245..7c343d320a 100644
--- a/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/json-schema-config.tsx
+++ b/web/app/components/workflow/nodes/llm/components/json-schema-config-modal/json-schema-config.tsx
@@ -55,7 +55,7 @@ const JsonSchemaConfig: FC<JsonSchemaConfigProps> = ({
   const docLink = useDocLink()
   const [currentTab, setCurrentTab] = useState(SchemaView.VisualEditor)
   const [jsonSchema, setJsonSchema] = useState(defaultSchema || DEFAULT_SCHEMA)
-  const [json, setJson] = useState(JSON.stringify(jsonSchema, null, 2))
+  const [json, setJson] = useState(() => JSON.stringify(jsonSchema, null, 2))
   const [btnWidth, setBtnWidth] = useState(0)
   const [parseError, setParseError] = useState<Error | null>(null)
   const [validationError, setValidationError] = useState<string>('')
diff --git a/web/app/components/workflow/nodes/question-classifier/components/class-item.tsx b/web/app/components/workflow/nodes/question-classifier/components/class-item.tsx
index 478ac925d6..8e6865f557 100644
--- a/web/app/components/workflow/nodes/question-classifier/components/class-item.tsx
+++ b/web/app/components/workflow/nodes/question-classifier/components/class-item.tsx
@@ -34,7 +34,7 @@ const ClassItem: FC<Props> = ({
   filterVar,
 }) => {
   const { t } = useTranslation()
-  const [instanceId, setInstanceId] = useState(uniqueId())
+  const [instanceId, setInstanceId] = useState(() => uniqueId())
 
   useEffect(() => {
     setInstanceId(`${nodeId}-${uniqueId()}`)
diff --git a/web/app/components/workflow/variable-inspect/value-content.tsx b/web/app/components/workflow/variable-inspect/value-content.tsx
index 6c727e8699..47546a863e 100644
--- a/web/app/components/workflow/variable-inspect/value-content.tsx
+++ b/web/app/components/workflow/variable-inspect/value-content.tsx
@@ -69,7 +69,7 @@ const ValueContent = ({
   const [json, setJson] = useState('')
   const [parseError, setParseError] = useState<Error | null>(null)
   const [validationError, setValidationError] = useState<string>('')
-  const [fileValue, setFileValue] = useState<any>(formatFileValue(currentVar))
+  const [fileValue, setFileValue] = useState<any>(() => formatFileValue(currentVar))
 
   const { run: debounceValueChange } = useDebounceFn(handleValueChange, { wait: 500 })
 
diff --git a/web/app/components/workflow/workflow-preview/index.tsx b/web/app/components/workflow/workflow-preview/index.tsx
index 2aeb09cd1e..5fd4b9097c 100644
--- a/web/app/components/workflow/workflow-preview/index.tsx
+++ b/web/app/components/workflow/workflow-preview/index.tsx
@@ -68,8 +68,8 @@ const WorkflowPreview = ({
   viewport,
   className,
 }: WorkflowPreviewProps) => {
-  const [nodesData, setNodesData] = useState(initialNodes(nodes, edges))
-  const [edgesData, setEdgesData] = useState(initialEdges(edges, nodes))
+  const [nodesData, setNodesData] = useState(() => initialNodes(nodes, edges))
+  const [edgesData, setEdgesData] = useState(() => initialEdges(edges, nodes))
 
   const onNodesChange = useCallback(
     (changes: NodeChange[]) => setNodesData(nds => applyNodeChanges(changes, nds)),
diff --git a/web/app/signin/invite-settings/page.tsx b/web/app/signin/invite-settings/page.tsx
index 036edfc478..cec51a70ef 100644
--- a/web/app/signin/invite-settings/page.tsx
+++ b/web/app/signin/invite-settings/page.tsx
@@ -30,7 +30,7 @@ export default function InviteSettingsPage() {
   const { setLocaleOnClient } = useContext(I18n)
   const [name, setName] = useState('')
   const [language, setLanguage] = useState(LanguagesSupported[0])
-  const [timezone, setTimezone] = useState(Intl.DateTimeFormat().resolvedOptions().timeZone || 'America/Los_Angeles')
+  const [timezone, setTimezone] = useState(() => Intl.DateTimeFormat().resolvedOptions().timeZone || 'America/Los_Angeles')
 
   const checkParams = {
     url: '/activate/check',
diff --git a/web/i18n/de-DE/common.ts b/web/i18n/de-DE/common.ts
index 69572af38d..9431fbbf6a 100644
--- a/web/i18n/de-DE/common.ts
+++ b/web/i18n/de-DE/common.ts
@@ -501,6 +501,7 @@ const translation = {
       customModelCredentialsDeleteTip: 'Anmeldeinformationen werden verwendet und können nicht gelöscht werden',
     },
     parametersInvalidRemoved: 'Einige Parameter sind ungültig und wurden entfernt.',
+    installDataSourceProvider: 'Datenquellenanbieter installieren',
   },
   dataSource: {
     add: 'Eine Datenquelle hinzufügen',
diff --git a/web/i18n/de-DE/workflow.ts b/web/i18n/de-DE/workflow.ts
index 43cfc88d4f..b058caba88 100644
--- a/web/i18n/de-DE/workflow.ts
+++ b/web/i18n/de-DE/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       chunkIsRequired: 'Chunk-Struktur ist erforderlich',
       chunksInput: 'Stücke',
       chunksInputTip: 'Die Eingangsvariable des Wissensbasis-Knotens sind Chunks. Der Variablentyp ist ein Objekt mit einem spezifischen JSON-Schema, das konsistent mit der ausgewählten Chunk-Struktur sein muss.',
+      embeddingModelIsRequired: 'Ein Einbettungsmodell ist erforderlich',
+      chunksVariableIsRequired: 'Die Variable \'Chunks\' ist erforderlich',
+      rerankingModelIsRequired: 'Ein Reranking-Modell ist erforderlich',
     },
   },
   tracing: {
diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts
index f33a58cd87..12abeb541b 100644
--- a/web/i18n/en-US/common.ts
+++ b/web/i18n/en-US/common.ts
@@ -497,6 +497,7 @@ const translation = {
     toBeConfigured: 'To be configured',
     configureTip: 'Set up api-key or add model to use',
     installProvider: 'Install model providers',
+    installDataSourceProvider: 'Install data source providers',
     discoverMore: 'Discover more in ',
     emptyProviderTitle: 'Model provider not set up',
     emptyProviderTip: 'Please install a model provider first.',
diff --git a/web/i18n/en-US/workflow.ts b/web/i18n/en-US/workflow.ts
index e22c50c1b5..bc06364989 100644
--- a/web/i18n/en-US/workflow.ts
+++ b/web/i18n/en-US/workflow.ts
@@ -1028,7 +1028,10 @@ const translation = {
       aboutRetrieval: 'about retrieval method.',
       chunkIsRequired: 'Chunk structure is required',
       indexMethodIsRequired: 'Index method is required',
+      chunksVariableIsRequired: 'Chunks variable is required',
+      embeddingModelIsRequired: 'Embedding model is required',
       retrievalSettingIsRequired: 'Retrieval setting is required',
+      rerankingModelIsRequired: 'Reranking model is required',
     },
     triggerSchedule: {
       title: 'Schedule',
diff --git a/web/i18n/es-ES/common.ts b/web/i18n/es-ES/common.ts
index 0728491adf..74af4a03b6 100644
--- a/web/i18n/es-ES/common.ts
+++ b/web/i18n/es-ES/common.ts
@@ -505,6 +505,7 @@ const translation = {
       editModelCredential: 'Editar credencial de modelo',
     },
     parametersInvalidRemoved: 'Algunos parámetros son inválidos y han sido eliminados',
+    installDataSourceProvider: 'Instalar proveedores de fuentes de datos',
   },
   dataSource: {
     add: 'Agregar una fuente de datos',
diff --git a/web/i18n/es-ES/workflow.ts b/web/i18n/es-ES/workflow.ts
index 08d4a9ace7..fb831be722 100644
--- a/web/i18n/es-ES/workflow.ts
+++ b/web/i18n/es-ES/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       chunkIsRequired: 'Se requiere una estructura de fragmentos',
       chunksInput: 'Trozo',
       chunksInputTip: 'La variable de entrada del nodo de la base de conocimientos es Chunks. El tipo de variable es un objeto con un esquema JSON específico que debe ser consistente con la estructura del fragmento seleccionado.',
+      embeddingModelIsRequired: 'Se requiere un modelo de incrustación',
+      rerankingModelIsRequired: 'Se requiere un modelo de reordenamiento',
+      chunksVariableIsRequired: 'La variable Chunks es obligatoria',
     },
   },
   tracing: {
diff --git a/web/i18n/fa-IR/common.ts b/web/i18n/fa-IR/common.ts
index 613c593570..dc6620ce2e 100644
--- a/web/i18n/fa-IR/common.ts
+++ b/web/i18n/fa-IR/common.ts
@@ -505,6 +505,7 @@ const translation = {
       customModelCredentialsDeleteTip: 'اعتبار در حال استفاده است و قابل حذف نیست',
     },
     parametersInvalidRemoved: 'برخی پارامترها نامعتبر هستند و حذف شده‌اند',
+    installDataSourceProvider: 'نصب ارائه‌دهندگان منبع داده',
   },
   dataSource: {
     add: 'افزودن منبع داده',
diff --git a/web/i18n/fa-IR/workflow.ts b/web/i18n/fa-IR/workflow.ts
index 16b0178e4f..96c4dcba45 100644
--- a/web/i18n/fa-IR/workflow.ts
+++ b/web/i18n/fa-IR/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       chooseChunkStructure: 'یک ساختار تکه ای را انتخاب کنید',
       chunksInput: 'تکه‌ها',
       chunksInputTip: 'متغیر ورودی گره پایگاه دانش چانک‌ها است. نوع متغیر یک شیء با یک طرح JSON خاص است که باید با ساختار چانک انتخاب شده سازگار باشد.',
+      embeddingModelIsRequired: 'مدل جاسازی مورد نیاز است',
+      chunksVariableIsRequired: 'متغیر Chunks الزامی است',
+      rerankingModelIsRequired: 'مدل رتبه‌بندی مجدد مورد نیاز است',
     },
   },
   tracing: {
diff --git a/web/i18n/fr-FR/common.ts b/web/i18n/fr-FR/common.ts
index 053318e7b5..f1e8ad007c 100644
--- a/web/i18n/fr-FR/common.ts
+++ b/web/i18n/fr-FR/common.ts
@@ -502,6 +502,7 @@ const translation = {
       editModelCredential: 'Modifier les informations d’identification du modèle',
     },
     parametersInvalidRemoved: 'Certains paramètres sont invalides et ont été supprimés.',
+    installDataSourceProvider: 'Installer les fournisseurs de sources de données',
   },
   dataSource: {
     add: 'Ajouter une source de données',
diff --git a/web/i18n/fr-FR/workflow.ts b/web/i18n/fr-FR/workflow.ts
index 89db91a33e..11d0c1f8c9 100644
--- a/web/i18n/fr-FR/workflow.ts
+++ b/web/i18n/fr-FR/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       retrievalSettingIsRequired: 'Le paramètre de récupération est requis',
       chunksInput: 'Morceaux',
       chunksInputTip: 'La variable d\'entrée du nœud de la base de connaissances est Chunks. Le type de variable est un objet avec un schéma JSON spécifique qui doit être cohérent avec la structure de morceau sélectionnée.',
+      rerankingModelIsRequired: 'Un modèle de rerankage est requis',
+      embeddingModelIsRequired: 'Un modèle d\'intégration est requis',
+      chunksVariableIsRequired: 'La variable Chunks est requise',
     },
   },
   tracing: {
diff --git a/web/i18n/hi-IN/common.ts b/web/i18n/hi-IN/common.ts
index 6b5c5a260c..d882b00929 100644
--- a/web/i18n/hi-IN/common.ts
+++ b/web/i18n/hi-IN/common.ts
@@ -521,6 +521,7 @@ const translation = {
       editModelCredential: 'मॉडल की क्रेडेंशियल संपादित करें',
     },
     parametersInvalidRemoved: 'कुछ पैरामीटर अमान्य हैं और हटा दिए गए हैं',
+    installDataSourceProvider: 'डेटा स्रोत प्रदाताओं को स्थापित करें',
   },
   dataSource: {
     add: 'डेटा स्रोत जोड़ें',
diff --git a/web/i18n/hi-IN/workflow.ts b/web/i18n/hi-IN/workflow.ts
index 09a7e61366..6b11aacf69 100644
--- a/web/i18n/hi-IN/workflow.ts
+++ b/web/i18n/hi-IN/workflow.ts
@@ -962,6 +962,9 @@ const translation = {
       chooseChunkStructure: 'एक चंक संरचना चुनें',
       chunksInput: 'टुकड़े',
       chunksInputTip: 'ज्ञान आधार नोड का इनपुट वेरिएबल चंक्स है। वेरिएबल प्रकार एक ऑब्जेक्ट है जिसमें एक विशेष JSON स्कीमा है जो चयनित चंक संरचना के साथ सुसंगत होना चाहिए।',
+      chunksVariableIsRequired: 'Chunks चर आवश्यक है',
+      embeddingModelIsRequired: 'एम्बेडिंग मॉडल आवश्यक है',
+      rerankingModelIsRequired: 'पुनः क्रमांकन मॉडल की आवश्यकता है',
     },
   },
   tracing: {
diff --git a/web/i18n/id-ID/common.ts b/web/i18n/id-ID/common.ts
index 4fb1f2afb3..b224f153f6 100644
--- a/web/i18n/id-ID/common.ts
+++ b/web/i18n/id-ID/common.ts
@@ -501,6 +501,7 @@ const translation = {
     callTimes: 'Waktu panggilan',
     getFreeTokens: 'Dapatkan Token gratis',
     parametersInvalidRemoved: 'Beberapa parameter tidak valid dan telah dihapus',
+    installDataSourceProvider: 'Pasang penyedia sumber data',
   },
   dataSource: {
     notion: {
diff --git a/web/i18n/id-ID/workflow.ts b/web/i18n/id-ID/workflow.ts
index 7bc9b631dd..4bfbe934f7 100644
--- a/web/i18n/id-ID/workflow.ts
+++ b/web/i18n/id-ID/workflow.ts
@@ -919,6 +919,9 @@ const translation = {
       chunkStructure: 'Struktur Potongan',
       chunksInput: 'Potongan',
       chunksInputTip: 'Variabel input dari node basis pengetahuan adalah Chunks. Tipe variabel adalah objek dengan Skema JSON tertentu yang harus konsisten dengan struktur chunk yang dipilih.',
+      chunksVariableIsRequired: 'Variabel Chunks diperlukan',
+      rerankingModelIsRequired: 'Model reranking diperlukan',
+      embeddingModelIsRequired: 'Model embedding diperlukan',
     },
   },
   tracing: {},
diff --git a/web/i18n/it-IT/common.ts b/web/i18n/it-IT/common.ts
index 617a7fe495..4ba4f34240 100644
--- a/web/i18n/it-IT/common.ts
+++ b/web/i18n/it-IT/common.ts
@@ -527,6 +527,7 @@ const translation = {
       editModelCredential: 'Modificare le credenziali del modello',
     },
     parametersInvalidRemoved: 'Alcuni parametri non sono validi e sono stati rimossi.',
+    installDataSourceProvider: 'Installa i fornitori di sorgenti dati',
   },
   dataSource: {
     add: 'Aggiungi una fonte di dati',
diff --git a/web/i18n/it-IT/workflow.ts b/web/i18n/it-IT/workflow.ts
index 7ea9c49701..5b7b940208 100644
--- a/web/i18n/it-IT/workflow.ts
+++ b/web/i18n/it-IT/workflow.ts
@@ -968,6 +968,9 @@ const translation = {
       retrievalSettingIsRequired: 'È richiesta l\'impostazione di recupero',
       chunksInputTip: 'La variabile di input del nodo della base di conoscenza è Chunks. Il tipo di variabile è un oggetto con uno specifico schema JSON che deve essere coerente con la struttura del chunk selezionato.',
       chunksInput: 'Pezzetti',
+      chunksVariableIsRequired: 'La variabile Chunks è richiesta',
+      rerankingModelIsRequired: 'È richiesto un modello di riordinamento',
+      embeddingModelIsRequired: 'È necessario un modello di embedding',
     },
   },
   tracing: {
diff --git a/web/i18n/ja-JP/common.ts b/web/i18n/ja-JP/common.ts
index d42845850a..b771aa3136 100644
--- a/web/i18n/ja-JP/common.ts
+++ b/web/i18n/ja-JP/common.ts
@@ -485,6 +485,7 @@ const translation = {
     emptyProviderTitle: 'モデルプロバイダーが設定されていません',
     discoverMore: 'もっと発見する',
     installProvider: 'モデルプロバイダーをインストールする',
+    installDataSourceProvider: 'データソースプロバイダーをインストールする',
     configureTip: 'API キーを設定するか、使用するモデルを追加してください',
     toBeConfigured: '設定中',
     emptyProviderTip: '最初にモデルプロバイダーをインストールしてください。',
diff --git a/web/i18n/ja-JP/workflow.ts b/web/i18n/ja-JP/workflow.ts
index 8744351e25..e7125bd7da 100644
--- a/web/i18n/ja-JP/workflow.ts
+++ b/web/i18n/ja-JP/workflow.ts
@@ -982,6 +982,9 @@ const translation = {
       indexMethodIsRequired: 'インデックスメソッドが必要です',
       chunksInput: 'チャンク',
       chunksInputTip: '知識ベースノードの入力変数はチャンクです。変数のタイプは、選択されたチャンク構造と一貫性のある特定のJSONスキーマを持つオブジェクトです。',
+      chunksVariableIsRequired: 'Chunks変数は必須です',
+      embeddingModelIsRequired: '埋め込みモデルが必要です',
+      rerankingModelIsRequired: '再ランキングモデルが必要です',
     },
     triggerSchedule: {
       frequency: {
diff --git a/web/i18n/ko-KR/common.ts b/web/i18n/ko-KR/common.ts
index 86209e1fab..9d2948c594 100644
--- a/web/i18n/ko-KR/common.ts
+++ b/web/i18n/ko-KR/common.ts
@@ -497,6 +497,7 @@ const translation = {
       customModelCredentialsDeleteTip: '자격 증명이 사용 중이며 삭제할 수 없습니다.',
     },
     parametersInvalidRemoved: '일부 매개변수가 유효하지 않아 제거되었습니다.',
+    installDataSourceProvider: '데이터 소스 공급자 설치',
   },
   dataSource: {
     add: '데이터 소스 추가하기',
diff --git a/web/i18n/ko-KR/workflow.ts b/web/i18n/ko-KR/workflow.ts
index ba508f5d7e..58d716028f 100644
--- a/web/i18n/ko-KR/workflow.ts
+++ b/web/i18n/ko-KR/workflow.ts
@@ -990,6 +990,9 @@ const translation = {
       retrievalSettingIsRequired: '검색 설정이 필요합니다.',
       chunksInput: '청크',
       chunksInputTip: '지식 기반 노드의 입력 변수는 Chunks입니다. 변수 유형은 선택된 청크 구조와 일치해야 하는 특정 JSON 스키마를 가진 객체입니다.',
+      chunksVariableIsRequired: 'Chunks 변수는 필수입니다',
+      embeddingModelIsRequired: '임베딩 모델이 필요합니다',
+      rerankingModelIsRequired: '재순위 모델이 필요합니다',
     },
   },
   tracing: {
diff --git a/web/i18n/pl-PL/common.ts b/web/i18n/pl-PL/common.ts
index 752bbc1ee1..3f820e14e0 100644
--- a/web/i18n/pl-PL/common.ts
+++ b/web/i18n/pl-PL/common.ts
@@ -514,6 +514,7 @@ const translation = {
       editModelCredential: 'Edytowanie poświadczeń modelu',
     },
     parametersInvalidRemoved: 'Niektóre parametry są nieprawidłowe i zostały usunięte.',
+    installDataSourceProvider: 'Zainstaluj dostawców źródeł danych',
   },
   dataSource: {
     add: 'Dodaj źródło danych',
diff --git a/web/i18n/pl-PL/workflow.ts b/web/i18n/pl-PL/workflow.ts
index 2fa48ee8a9..57a4d5570b 100644
--- a/web/i18n/pl-PL/workflow.ts
+++ b/web/i18n/pl-PL/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       chunkIsRequired: 'Wymagana jest struktura porcji',
       chunksInput: 'Kawałki',
       chunksInputTip: 'Zmienna wejściowa węzła bazy wiedzy to Chunks. Typ zmiennej to obiekt z określonym schematem JSON, który musi być zgodny z wybraną strukturą chunk.',
+      embeddingModelIsRequired: 'Wymagany jest model osadzania',
+      chunksVariableIsRequired: 'Wymagana jest zmienna Chunks',
+      rerankingModelIsRequired: 'Wymagany jest model ponownego rankingu',
     },
   },
   tracing: {
diff --git a/web/i18n/pt-BR/common.ts b/web/i18n/pt-BR/common.ts
index aa831aa58f..3f5f353fb6 100644
--- a/web/i18n/pt-BR/common.ts
+++ b/web/i18n/pt-BR/common.ts
@@ -501,6 +501,7 @@ const translation = {
       addNewModelCredential: 'Adicionar nova credencial de modelo',
     },
     parametersInvalidRemoved: 'Alguns parâmetros são inválidos e foram removidos',
+    installDataSourceProvider: 'Instalar provedores de fontes de dados',
   },
   dataSource: {
     add: 'Adicionar uma fonte de dados',
diff --git a/web/i18n/pt-BR/workflow.ts b/web/i18n/pt-BR/workflow.ts
index 8e2a9cd41a..03c387c09a 100644
--- a/web/i18n/pt-BR/workflow.ts
+++ b/web/i18n/pt-BR/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       indexMethodIsRequired: 'O método de índice é necessário',
       chunksInput: 'Pedaços',
       chunksInputTip: 'A variável de entrada do nó da base de conhecimento é Chunks. O tipo da variável é um objeto com um esquema JSON específico que deve ser consistente com a estrutura de chunk selecionada.',
+      chunksVariableIsRequired: 'A variável \'chunks\' é obrigatória',
+      embeddingModelIsRequired: 'Modelo de incorporação é necessário',
+      rerankingModelIsRequired: 'Um modelo de reclassificação é necessário',
     },
   },
   tracing: {
diff --git a/web/i18n/ro-RO/common.ts b/web/i18n/ro-RO/common.ts
index 9ab998a7ee..2e36e487fb 100644
--- a/web/i18n/ro-RO/common.ts
+++ b/web/i18n/ro-RO/common.ts
@@ -501,6 +501,7 @@ const translation = {
       customModelCredentialsDeleteTip: 'Acreditarea este în uz și nu poate fi ștearsă',
     },
     parametersInvalidRemoved: 'Unele parametrii sunt invalizi și au fost eliminați.',
+    installDataSourceProvider: 'Instalați furnizorii de surse de date',
   },
   dataSource: {
     add: 'Adăugați o sursă de date',
diff --git a/web/i18n/ro-RO/workflow.ts b/web/i18n/ro-RO/workflow.ts
index c6102c7e01..7390ab07b3 100644
--- a/web/i18n/ro-RO/workflow.ts
+++ b/web/i18n/ro-RO/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       changeChunkStructure: 'Modificați structura bucății',
       chunksInput: 'Bucăți',
       chunksInputTip: 'Variabila de intrare a nodului bazei de cunoștințe este Chunks. Tipul variabilei este un obiect cu un Șchema JSON specific care trebuie să fie coerent cu structura de chunk selectată.',
+      chunksVariableIsRequired: 'Variabila Chunks este obligatorie',
+      embeddingModelIsRequired: 'Este necesar un model de încorporare',
+      rerankingModelIsRequired: 'Este necesar un model de reordonare',
     },
   },
   tracing: {
diff --git a/web/i18n/ru-RU/common.ts b/web/i18n/ru-RU/common.ts
index cfbe58140b..8f1fb3a51b 100644
--- a/web/i18n/ru-RU/common.ts
+++ b/web/i18n/ru-RU/common.ts
@@ -505,6 +505,7 @@ const translation = {
       customModelCredentialsDeleteTip: 'Учетные данные используются и не могут быть удалены',
     },
     parametersInvalidRemoved: 'Некоторые параметры недействительны и были удалены',
+    installDataSourceProvider: 'Установить поставщиков источников данных',
   },
   dataSource: {
     add: 'Добавить источник данных',
diff --git a/web/i18n/ru-RU/workflow.ts b/web/i18n/ru-RU/workflow.ts
index 2dbef21b13..a6fd710a66 100644
--- a/web/i18n/ru-RU/workflow.ts
+++ b/web/i18n/ru-RU/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       retrievalSettingIsRequired: 'Настройка извлечения обязательна',
       chunksInput: 'Куски',
       chunksInputTip: 'Входная переменная узла базы знаний - это Чанки. Тип переменной является объектом с определенной схемой JSON, которая должна соответствовать выбранной структуре чанка.',
+      chunksVariableIsRequired: 'Переменная chunks обязательна',
+      embeddingModelIsRequired: 'Требуется модель встраивания',
+      rerankingModelIsRequired: 'Требуется модель перераспределения рангов',
     },
   },
   tracing: {
diff --git a/web/i18n/sl-SI/common.ts b/web/i18n/sl-SI/common.ts
index a6fc939af7..2efd6f8de6 100644
--- a/web/i18n/sl-SI/common.ts
+++ b/web/i18n/sl-SI/common.ts
@@ -586,6 +586,7 @@ const translation = {
       customModelCredentials: 'Poverilnice modela po meri',
     },
     parametersInvalidRemoved: 'Nekateri parametri so neveljavni in so bili odstranjeni.',
+    installDataSourceProvider: 'Namestite ponudnike podatkovnih virov',
   },
   dataSource: {
     notion: {
diff --git a/web/i18n/sl-SI/workflow.ts b/web/i18n/sl-SI/workflow.ts
index 2f0192a186..5fbfad886b 100644
--- a/web/i18n/sl-SI/workflow.ts
+++ b/web/i18n/sl-SI/workflow.ts
@@ -949,6 +949,9 @@ const translation = {
       aboutRetrieval: 'o metodi iskanja.',
       chunksInput: 'Kosi',
       chunksInputTip: 'Vhodna spremenljivka vozlišča podatkovne baze je Chunks. Tip spremenljivke je objekt s specifično JSON shemo, ki mora biti skladna z izbrano strukturo kosov.',
+      chunksVariableIsRequired: 'Spremenljivka Chunks je obvezna',
+      embeddingModelIsRequired: 'Zahtuje se vgrajevalni model',
+      rerankingModelIsRequired: 'Potreben je model za ponovno razvrščanje',
     },
   },
   tracing: {
diff --git a/web/i18n/th-TH/common.ts b/web/i18n/th-TH/common.ts
index 10eb409b92..a673629d3e 100644
--- a/web/i18n/th-TH/common.ts
+++ b/web/i18n/th-TH/common.ts
@@ -500,6 +500,7 @@ const translation = {
       addNewModelCredential: 'เพิ่มข้อมูลประจําตัวของโมเดลใหม่',
     },
     parametersInvalidRemoved: 'บางพารามิเตอร์ไม่ถูกต้องและถูกนำออก',
+    installDataSourceProvider: 'ติดตั้งผู้ให้บริการแหล่งข้อมูล',
   },
   dataSource: {
     add: 'เพิ่มแหล่งข้อมูล',
diff --git a/web/i18n/th-TH/workflow.ts b/web/i18n/th-TH/workflow.ts
index d31498cc11..24f9f1d42b 100644
--- a/web/i18n/th-TH/workflow.ts
+++ b/web/i18n/th-TH/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       chunkIsRequired: 'จําเป็นต้องมีโครงสร้างก้อน',
       chunksInput: 'ชิ้นส่วน',
       chunksInputTip: 'ตัวแปรนำเข้าของโหนดฐานความรู้คือ Chunks ตัวแปรประเภทเป็นอ็อบเจ็กต์ที่มี JSON Schema เฉพาะซึ่งต้องสอดคล้องกับโครงสร้างชิ้นส่วนที่เลือกไว้.',
+      chunksVariableIsRequired: 'ตัวแปร Chunks เป็นสิ่งจำเป็น',
+      embeddingModelIsRequired: 'จำเป็นต้องใช้โมเดลฝัง',
+      rerankingModelIsRequired: 'จำเป็นต้องมีโมเดลการจัดอันดับใหม่',
     },
   },
   tracing: {
diff --git a/web/i18n/tr-TR/common.ts b/web/i18n/tr-TR/common.ts
index 243de6d38d..b198bd5d63 100644
--- a/web/i18n/tr-TR/common.ts
+++ b/web/i18n/tr-TR/common.ts
@@ -505,6 +505,7 @@ const translation = {
       customModelCredentialsDeleteTip: 'Kimlik bilgisi kullanımda ve silinemiyor',
     },
     parametersInvalidRemoved: 'Bazı parametreler geçersizdir ve kaldırılmıştır.',
+    installDataSourceProvider: 'Veri kaynağı sağlayıcılarını yükle',
   },
   dataSource: {
     add: 'Bir veri kaynağı ekle',
diff --git a/web/i18n/tr-TR/workflow.ts b/web/i18n/tr-TR/workflow.ts
index 427d610718..2ccd1c1013 100644
--- a/web/i18n/tr-TR/workflow.ts
+++ b/web/i18n/tr-TR/workflow.ts
@@ -943,6 +943,9 @@ const translation = {
       changeChunkStructure: 'Yığın Yapısını Değiştir',
       chunksInput: 'Parçalar',
       chunksInputTip: 'Bilgi tabanı düğümünün girdi değişkeni \'Chunks\'tır. Değişkenin tipi, seçilen parça yapısıyla tutarlı olması gereken belirli bir JSON Şemasına sahip bir nesnedir.',
+      embeddingModelIsRequired: 'Gömme modeli gereklidir',
+      chunksVariableIsRequired: 'Chunks değişkeni gereklidir',
+      rerankingModelIsRequired: 'Yeniden sıralama modeli gereklidir',
     },
   },
   tracing: {
diff --git a/web/i18n/uk-UA/common.ts b/web/i18n/uk-UA/common.ts
index 84f7e0cbb7..69af3cc2db 100644
--- a/web/i18n/uk-UA/common.ts
+++ b/web/i18n/uk-UA/common.ts
@@ -502,6 +502,7 @@ const translation = {
       customModelCredentialsDeleteTip: 'Облікові дані використовуються і не можуть бути видалені',
     },
     parametersInvalidRemoved: 'Деякі параметри є недійсними і були видалені',
+    installDataSourceProvider: 'Встановіть постачальників джерел даних',
   },
   dataSource: {
     add: 'Додати джерело даних',
diff --git a/web/i18n/uk-UA/workflow.ts b/web/i18n/uk-UA/workflow.ts
index ec92834b2b..bcf7d112b9 100644
--- a/web/i18n/uk-UA/workflow.ts
+++ b/web/i18n/uk-UA/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       retrievalSettingIsRequired: 'Потрібне налаштування для отримання',
       chunksInput: 'Частини',
       chunksInputTip: 'Вхідна змінна вузла бази знань - це Частини. Тип змінної - об\'єкт з певною JSON-схемою, яка повинна відповідати вибраній структурі частин.',
+      chunksVariableIsRequired: 'Змінна chunks є обов\'язковою',
+      embeddingModelIsRequired: 'Потрібна модель вбудовування',
+      rerankingModelIsRequired: 'Потрібна модель перенавчання',
     },
   },
   tracing: {
diff --git a/web/i18n/vi-VN/common.ts b/web/i18n/vi-VN/common.ts
index 145b79ea24..216a2e2ed2 100644
--- a/web/i18n/vi-VN/common.ts
+++ b/web/i18n/vi-VN/common.ts
@@ -501,6 +501,7 @@ const translation = {
       selectModelCredential: 'Chọn thông tin xác thực mô hình',
     },
     parametersInvalidRemoved: 'Một số tham số không hợp lệ và đã được loại bỏ',
+    installDataSourceProvider: 'Cài đặt các nhà cung cấp nguồn dữ liệu',
   },
   dataSource: {
     add: 'Thêm nguồn dữ liệu',
diff --git a/web/i18n/vi-VN/workflow.ts b/web/i18n/vi-VN/workflow.ts
index c0aad0ff47..d540763ca3 100644
--- a/web/i18n/vi-VN/workflow.ts
+++ b/web/i18n/vi-VN/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       indexMethodIsRequired: 'Phương pháp chỉ mục là bắt buộc',
       chunksInput: 'Mảnh',
       chunksInputTip: 'Biến đầu vào của nút cơ sở tri thức là Chunks. Loại biến là một đối tượng với một JSON Schema cụ thể mà phải nhất quán với cấu trúc chunk đã chọn.',
+      chunksVariableIsRequired: 'Biến Chunks là bắt buộc',
+      embeddingModelIsRequired: 'Cần có mô hình nhúng',
+      rerankingModelIsRequired: 'Cần có mô hình sắp xếp lại',
     },
   },
   tracing: {
diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts
index e035871303..d6493c6c9c 100644
--- a/web/i18n/zh-Hans/common.ts
+++ b/web/i18n/zh-Hans/common.ts
@@ -491,6 +491,7 @@ const translation = {
     toBeConfigured: '待配置',
     configureTip: '请配置 API 密钥，添加模型。',
     installProvider: '安装模型供应商',
+    installDataSourceProvider: '安装数据源供应商',
     discoverMore: '发现更多就在',
     emptyProviderTitle: '尚未安装模型供应商',
     emptyProviderTip: '请安装模型供应商。',
diff --git a/web/i18n/zh-Hans/workflow.ts b/web/i18n/zh-Hans/workflow.ts
index b14b318b6d..9dfdb0a2fb 100644
--- a/web/i18n/zh-Hans/workflow.ts
+++ b/web/i18n/zh-Hans/workflow.ts
@@ -984,7 +984,10 @@ const translation = {
       aboutRetrieval: '关于知识检索。',
       chunkIsRequired: '分段结构是必需的',
       indexMethodIsRequired: '索引方法是必需的',
+      chunksVariableIsRequired: 'Chunks 变量是必需的',
+      embeddingModelIsRequired: 'Embedding 模型是必需的',
       retrievalSettingIsRequired: '检索设置是必需的',
+      rerankingModelIsRequired: 'Reranking 模型是必需的',
     },
     triggerSchedule: {
       frequency: {
diff --git a/web/i18n/zh-Hant/common.ts b/web/i18n/zh-Hant/common.ts
index 8923df1553..a5747ba300 100644
--- a/web/i18n/zh-Hant/common.ts
+++ b/web/i18n/zh-Hant/common.ts
@@ -501,6 +501,7 @@ const translation = {
       selectModelCredential: '選取模型認證',
     },
     parametersInvalidRemoved: '一些參數無效，已被移除',
+    installDataSourceProvider: '安裝資料來源提供者',
   },
   dataSource: {
     add: '新增資料來源',
diff --git a/web/i18n/zh-Hant/workflow.ts b/web/i18n/zh-Hant/workflow.ts
index 89eea4a5b4..791fd1269c 100644
--- a/web/i18n/zh-Hant/workflow.ts
+++ b/web/i18n/zh-Hant/workflow.ts
@@ -942,6 +942,9 @@ const translation = {
       retrievalSettingIsRequired: '需要檢索設定',
       chunksInput: '區塊',
       chunksInputTip: '知識庫節點的輸入變數是 Chunks。該變數類型是一個物件，具有特定的 JSON Schema，必須與所選的塊結構一致。',
+      rerankingModelIsRequired: '需要重新排序模型',
+      chunksVariableIsRequired: 'Chunks 變數是必需的',
+      embeddingModelIsRequired: '需要嵌入模型',
     },
   },
   tracing: {
diff --git a/web/package.json b/web/package.json
index ae55c65c6a..06edb02382 100644
--- a/web/package.json
+++ b/web/package.json
@@ -1,6 +1,6 @@
 {
   "name": "dify-web",
-  "version": "1.9.0",
+  "version": "1.9.1",
   "private": true,
   "packageManager": "pnpm@10.16.0",
   "engines": {
@@ -159,7 +159,7 @@
     "@chromatic-com/storybook": "^3.1.0",
     "@eslint-react/eslint-plugin": "^1.15.0",
     "@eslint/eslintrc": "^3.1.0",
-    "@eslint/js": "^9.20.0",
+    "@eslint/js": "^9.36.0",
     "@faker-js/faker": "^9.0.3",
     "@happy-dom/jest-environment": "^17.4.4",
     "@mdx-js/loader": "^3.1.0",
@@ -178,7 +178,7 @@
     "@storybook/react": "8.5.0",
     "@storybook/test": "8.5.0",
     "@testing-library/dom": "^10.4.0",
-    "@testing-library/jest-dom": "^6.6.2",
+    "@testing-library/jest-dom": "^6.8.0",
     "@testing-library/react": "^16.0.1",
     "@types/crypto-js": "^4.2.2",
     "@types/dagre": "^0.7.52",
@@ -279,4 +279,4 @@
       "which-typed-array": "npm:@nolyfill/which-typed-array@^1"
     }
   }
-}
\ No newline at end of file
+}
diff --git a/web/pnpm-lock.yaml b/web/pnpm-lock.yaml
index ce2cb02a53..04e40b916d 100644
--- a/web/pnpm-lock.yaml
+++ b/web/pnpm-lock.yaml
@@ -396,8 +396,8 @@ importers:
         specifier: ^3.1.0
         version: 3.3.1
       '@eslint/js':
-        specifier: ^9.20.0
-        version: 9.31.0
+        specifier: ^9.36.0
+        version: 9.36.0
       '@faker-js/faker':
         specifier: ^9.0.3
         version: 9.9.0
@@ -453,8 +453,8 @@ importers:
         specifier: ^10.4.0
         version: 10.4.0
       '@testing-library/jest-dom':
-        specifier: ^6.6.2
-        version: 6.6.3
+        specifier: ^6.8.0
+        version: 6.8.0
       '@testing-library/react':
         specifier: ^16.0.1
         version: 16.3.0(@testing-library/dom@10.4.0)(@types/react-dom@19.1.7(@types/react@19.1.11))(@types/react@19.1.11)(react-dom@19.1.1(react@19.1.1))(react@19.1.1)
@@ -596,8 +596,8 @@ importers:
 
 packages:
 
-  '@adobe/css-tools@4.4.3':
-    resolution: {integrity: sha512-VQKMkwriZbaOgVCby1UDY/LDk5fIjhQicCvVPFqfe+69fWaPWydbWJ3wRt59/YzIwda1I81loas3oCoHxnqvdA==}
+  '@adobe/css-tools@4.4.4':
+    resolution: {integrity: sha512-Elp+iwUx5rN5+Y8xLt5/GRoG20WGoDCQ/1Fb+1LiGtvwbDavuSk0jhD/eZdckHAuzcDzccnkv+rEjyWfRx18gg==}
 
   '@alloc/quick-lru@5.2.0':
     resolution: {integrity: sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==}
@@ -1663,14 +1663,14 @@ packages:
     resolution: {integrity: sha512-gtF186CXhIl1p4pJNGZw8Yc6RlshoePRvE0X91oPGb3vZ8pM3qOS9W9NGPat9LziaBV7XrJWGylNQXkGcnM3IQ==}
     engines: {node: ^18.18.0 || ^20.9.0 || >=21.1.0}
 
-  '@eslint/js@9.31.0':
-    resolution: {integrity: sha512-LOm5OVt7D4qiKCqoiPbA7LWmI+tbw1VbTUowBcUMgQSuM6poJufkFkYDcQpo5KfgD39TnNySV26QjOh7VFpSyw==}
-    engines: {node: ^18.18.0 || ^20.9.0 || >=21.1.0}
-
   '@eslint/js@9.35.0':
     resolution: {integrity: sha512-30iXE9whjlILfWobBkNerJo+TXYsgVM5ERQwMcMKCHckHflCmf7wXDAHlARoWnh0s1U72WqlbeyE7iAcCzuCPw==}
     engines: {node: ^18.18.0 || ^20.9.0 || >=21.1.0}
 
+  '@eslint/js@9.36.0':
+    resolution: {integrity: sha512-uhCbYtYynH30iZErszX78U+nR3pJU3RHGQ57NXy5QupD4SBVwDeU8TNBy+MjMngc1UyIW9noKqsRqfjQTBU2dw==}
+    engines: {node: ^18.18.0 || ^20.9.0 || >=21.1.0}
+
   '@eslint/markdown@7.1.0':
     resolution: {integrity: sha512-Y+X1B1j+/zupKDVJfkKc8uYMjQkGzfnd8lt7vK3y8x9Br6H5dBuhAfFrQ6ff7HAMm/1BwgecyEiRFkYCWPRxmA==}
     engines: {node: ^18.18.0 || ^20.9.0 || >=21.1.0}
@@ -3211,8 +3211,8 @@ packages:
     resolution: {integrity: sha512-xGGHpBXYSHUUr6XsKBfs85TWlYKpTc37cSBBVrXcib2MkHLboWlkClhWF37JKlDb9KEq3dHs+f2xR7XJEWGBxA==}
     engines: {node: '>=14', npm: '>=6', yarn: '>=1'}
 
-  '@testing-library/jest-dom@6.6.3':
-    resolution: {integrity: sha512-IteBhl4XqYNkM54f4ejhLRJiZNqcSCoXUOG2CPK7qbD322KjQozM4kHQOfkG2oln9b9HTYqs+Sae8vBATubxxA==}
+  '@testing-library/jest-dom@6.8.0':
+    resolution: {integrity: sha512-WgXcWzVM6idy5JaftTVC8Vs83NKRmGJz4Hqs4oyOuO2J4r/y79vvKZsb+CaGyCSEbUPI6OsewfPd0G1A0/TUZQ==}
     engines: {node: '>=14', npm: '>=6', yarn: '>=1'}
 
   '@testing-library/react@16.3.0':
@@ -8227,6 +8227,10 @@ packages:
     resolution: {integrity: sha512-mnVSV2l+Zv6BLpSD/8V87CW/y9EmmbYzGCIavsnsI6/nwn26DwffM/yztm30Z/I2DY9wdS3vXVCMnHDgZaVNoA==}
     engines: {node: '>=12'}
 
+  strip-indent@4.1.0:
+    resolution: {integrity: sha512-OA95x+JPmL7kc7zCu+e+TeYxEiaIyndRx0OrBcK2QPPH09oAndr2ALvymxWA+Lx1PYYvFUm4O63pRkdJAaW96w==}
+    engines: {node: '>=12'}
+
   strip-json-comments@3.1.1:
     resolution: {integrity: sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==}
     engines: {node: '>=8'}
@@ -9017,7 +9021,7 @@ packages:
 
 snapshots:
 
-  '@adobe/css-tools@4.4.3': {}
+  '@adobe/css-tools@4.4.4': {}
 
   '@alloc/quick-lru@5.2.0': {}
 
@@ -10319,10 +10323,10 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  '@eslint/js@9.31.0': {}
-
   '@eslint/js@9.35.0': {}
 
+  '@eslint/js@9.36.0': {}
+
   '@eslint/markdown@7.1.0':
     dependencies:
       '@eslint/core': 0.15.1
@@ -12186,7 +12190,7 @@ snapshots:
 
   '@testing-library/jest-dom@6.5.0':
     dependencies:
-      '@adobe/css-tools': 4.4.3
+      '@adobe/css-tools': 4.4.4
       aria-query: 5.3.2
       chalk: 3.0.0
       css.escape: 1.5.1
@@ -12194,14 +12198,13 @@ snapshots:
       lodash: 4.17.21
       redent: 3.0.0
 
-  '@testing-library/jest-dom@6.6.3':
+  '@testing-library/jest-dom@6.8.0':
     dependencies:
-      '@adobe/css-tools': 4.4.3
+      '@adobe/css-tools': 4.4.4
       aria-query: 5.3.2
-      chalk: 3.0.0
       css.escape: 1.5.1
       dom-accessibility-api: 0.6.3
-      lodash: 4.17.21
+      picocolors: 1.1.1
       redent: 3.0.0
 
   '@testing-library/react@16.3.0(@testing-library/dom@10.4.0)(@types/react-dom@19.1.7(@types/react@19.1.11))(@types/react@19.1.11)(react-dom@19.1.1(react@19.1.1))(react@19.1.1)':
@@ -17491,7 +17494,7 @@ snapshots:
       '@types/resolve': 1.20.6
       doctrine: 3.0.0
       resolve: 1.22.10
-      strip-indent: 4.0.0
+      strip-indent: 4.1.0
     transitivePeerDependencies:
       - supports-color
 
@@ -18330,6 +18333,8 @@ snapshots:
     dependencies:
       min-indent: 1.0.1
 
+  strip-indent@4.1.0: {}
+
   strip-json-comments@3.1.1: {}
 
   style-loader@3.3.4(webpack@5.100.2(esbuild@0.25.0)(uglify-js@3.19.3)):