Merge branch 'main' into feat/workflow-node-dark-mode

.github/workflows/style.yml

@@ -82,6 +82,33 @@ jobs:
         if: steps.changed-files.outputs.any_changed == 'true'
         run: yarn run lint
 
+  docker-compose-template:
+    name: Docker Compose Template
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Check changed files
+        id: changed-files
+        uses: tj-actions/changed-files@v45
+        with:
+          files: |
+            docker/generate_docker_compose
+            docker/.env.example
+            docker/docker-compose-template.yaml
+            docker/docker-compose.yaml
+
+      - name: Generate Docker Compose
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: |
+          cd docker
+          ./generate_docker_compose
+
+      - name: Check for changes
+        if: steps.changed-files.outputs.any_changed == 'true'
+        run: git diff --exit-code
 
   superlinter:
     name: SuperLinter

api/configs/middleware/vdb/milvus_config.py

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

api/controllers/console/datasets/datasets_document.py

@@ -257,7 +257,8 @@ class DatasetDocumentListApi(Resource):
         parser.add_argument("original_document_id", type=str, required=False, location="json")
         parser.add_argument("doc_form", type=str, default="text_model", required=False, nullable=False, location="json")
         parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
-
+        parser.add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
+        parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
         parser.add_argument(
             "doc_language", type=str, default="English", required=False, nullable=False, location="json"
         )

api/controllers/service_api/__init__.py

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

api/controllers/service_api/dataset/upload_file.py

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

api/core/indexing_runner.py

@@ -530,7 +530,6 @@ class IndexingRunner:
         # chunk nodes by chunk size
         indexing_start_at = time.perf_counter()
         tokens = 0
-        chunk_size = 10
         if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX:
             # create keyword index
             create_keyword_thread = threading.Thread(
@@ -539,11 +538,22 @@ class IndexingRunner:
             )
             create_keyword_thread.start()
 
+        max_workers = 10
         if dataset.indexing_technique == "high_quality":
-            with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
+            with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
                 futures = []
-                for i in range(0, len(documents), chunk_size):
+
-                    chunk_documents = documents[i : i + chunk_size]
+                # Distribute documents into multiple groups based on the hash values of page_content
+                # This is done to prevent multiple threads from processing the same document,
+                # Thereby avoiding potential database insertion deadlocks
+                document_groups: list[list[Document]] = [[] for _ in range(max_workers)]
+                for document in documents:
+                    hash = helper.generate_text_hash(document.page_content)
+                    group_index = int(hash, 16) % max_workers
+                    document_groups[group_index].append(document)
+                for chunk_documents in document_groups:
+                    if len(chunk_documents) == 0:
+                        continue
                     futures.append(
                         executor.submit(
                             self._process_chunk,

api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py

@@ -1,6 +1,9 @@
+import logging
 from threading import Lock
 from typing import Any
 
+logger = logging.getLogger(__name__)
+
 _tokenizer: Any = None
 _lock = Lock()
 
@@ -43,5 +46,6 @@ class GPT2Tokenizer:
                     base_path = abspath(__file__)
                     gpt2_tokenizer_path = join(dirname(base_path), "gpt2")
                     _tokenizer = TransformerGPT2Tokenizer.from_pretrained(gpt2_tokenizer_path)
+                    logger.info("Fallback to Transformers' GPT-2 tokenizer from tiktoken")
 
             return _tokenizer

api/core/rag/datasource/vdb/field.py

@@ -6,6 +6,8 @@ class Field(Enum):
     METADATA_KEY = "metadata"
     GROUP_KEY = "group_id"
     VECTOR = "vector"
+    # Sparse Vector aims to support full text search
+    SPARSE_VECTOR = "sparse_vector"
     TEXT_KEY = "text"
     PRIMARY_KEY = "id"
     DOC_ID = "metadata.doc_id"

api/core/rag/datasource/vdb/milvus/milvus_vector.py

@@ -2,6 +2,7 @@ import json
 import logging
 from typing import Any, Optional
 
+from packaging import version
 from pydantic import BaseModel, model_validator
 from pymilvus import MilvusClient, MilvusException  # type: ignore
 from pymilvus.milvus_client import IndexParams  # type: ignore
@@ -20,16 +21,25 @@ logger = logging.getLogger(__name__)
 
 
 class MilvusConfig(BaseModel):
-    uri: str
+    """
-    token: Optional[str] = None
+    Configuration class for Milvus connection.
-    user: str
+    """
-    password: str
+
-    batch_size: int = 100
+    uri: str  # Milvus server URI
-    database: str = "default"
+    token: Optional[str] = None  # Optional token for authentication
+    user: str  # Username for authentication
+    password: str  # Password for authentication
+    batch_size: int = 100  # Batch size for operations
+    database: str = "default"  # Database name
+    enable_hybrid_search: bool = False  # Flag to enable hybrid search
 
     @model_validator(mode="before")
     @classmethod
     def validate_config(cls, values: dict) -> dict:
+        """
+        Validate the configuration values.
+        Raises ValueError if required fields are missing.
+        """
         if not values.get("uri"):
             raise ValueError("config MILVUS_URI is required")
         if not values.get("user"):
@@ -39,6 +49,9 @@ class MilvusConfig(BaseModel):
         return values
 
     def to_milvus_params(self):
+        """
+        Convert the configuration to a dictionary of Milvus connection parameters.
+        """
         return {
             "uri": self.uri,
             "token": self.token,
@@ -49,26 +62,57 @@ class MilvusConfig(BaseModel):
 
 
 class MilvusVector(BaseVector):
+    """
+    Milvus vector storage implementation.
+    """
+
     def __init__(self, collection_name: str, config: MilvusConfig):
         super().__init__(collection_name)
         self._client_config = config
         self._client = self._init_client(config)
-        self._consistency_level = "Session"
+        self._consistency_level = "Session"  # Consistency level for Milvus operations
-        self._fields: list[str] = []
+        self._fields: list[str] = []  # List of fields in the collection
+        self._hybrid_search_enabled = self._check_hybrid_search_support()  # Check if hybrid search is supported
+
+    def _check_hybrid_search_support(self) -> bool:
+        """
+        Check if the current Milvus version supports hybrid search.
+        Returns True if the version is >= 2.5.0, otherwise False.
+        """
+        if not self._client_config.enable_hybrid_search:
+            return False
+
+        try:
+            milvus_version = self._client.get_server_version()
+            return version.parse(milvus_version).base_version >= version.parse("2.5.0").base_version
+        except Exception as e:
+            logger.warning(f"Failed to check Milvus version: {str(e)}. Disabling hybrid search.")
+            return False
 
     def get_type(self) -> str:
+        """
+        Get the type of vector storage (Milvus).
+        """
         return VectorType.MILVUS
 
     def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs):
+        """
+        Create a collection and add texts with embeddings.
+        """
         index_params = {"metric_type": "IP", "index_type": "HNSW", "params": {"M": 8, "efConstruction": 64}}
         metadatas = [d.metadata if d.metadata is not None else {} for d in texts]
         self.create_collection(embeddings, metadatas, index_params)
         self.add_texts(texts, embeddings)
 
     def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs):
+        """
+        Add texts and their embeddings to the collection.
+        """
         insert_dict_list = []
         for i in range(len(documents)):
             insert_dict = {
+                # Do not need to insert the sparse_vector field separately, as the text_bm25_emb
+                # function will automatically convert the native text into a sparse vector for us.
                 Field.CONTENT_KEY.value: documents[i].page_content,
                 Field.VECTOR.value: embeddings[i],
                 Field.METADATA_KEY.value: documents[i].metadata,
@@ -76,12 +120,11 @@ class MilvusVector(BaseVector):
             insert_dict_list.append(insert_dict)
         # Total insert count
         total_count = len(insert_dict_list)
-
         pks: list[str] = []
 
         for i in range(0, total_count, 1000):
-            batch_insert_list = insert_dict_list[i : i + 1000]
             # Insert into the collection.
+            batch_insert_list = insert_dict_list[i : i + 1000]
             try:
                 ids = self._client.insert(collection_name=self._collection_name, data=batch_insert_list)
                 pks.extend(ids)
@@ -91,6 +134,9 @@ class MilvusVector(BaseVector):
         return pks
 
     def get_ids_by_metadata_field(self, key: str, value: str):
+        """
+        Get document IDs by metadata field key and value.
+        """
         result = self._client.query(
             collection_name=self._collection_name, filter=f'metadata["{key}"] == "{value}"', output_fields=["id"]
         )
@@ -100,12 +146,18 @@ class MilvusVector(BaseVector):
             return None
 
     def delete_by_metadata_field(self, key: str, value: str):
+        """
+        Delete documents by metadata field key and value.
+        """
         if self._client.has_collection(self._collection_name):
             ids = self.get_ids_by_metadata_field(key, value)
             if ids:
                 self._client.delete(collection_name=self._collection_name, pks=ids)
 
     def delete_by_ids(self, ids: list[str]) -> None:
+        """
+        Delete documents by their IDs.
+        """
         if self._client.has_collection(self._collection_name):
             result = self._client.query(
                 collection_name=self._collection_name, filter=f'metadata["doc_id"] in {ids}', output_fields=["id"]
@@ -115,10 +167,16 @@ class MilvusVector(BaseVector):
                 self._client.delete(collection_name=self._collection_name, pks=ids)
 
     def delete(self) -> None:
+        """
+        Delete the entire collection.
+        """
         if self._client.has_collection(self._collection_name):
             self._client.drop_collection(self._collection_name, None)
 
     def text_exists(self, id: str) -> bool:
+        """
+        Check if a text with the given ID exists in the collection.
+        """
         if not self._client.has_collection(self._collection_name):
             return False
 
@@ -128,32 +186,80 @@ class MilvusVector(BaseVector):
 
         return len(result) > 0
 
+    def field_exists(self, field: str) -> bool:
+        """
+        Check if a field exists in the collection.
+        """
+        return field in self._fields
+
+    def _process_search_results(
+        self, results: list[Any], output_fields: list[str], score_threshold: float = 0.0
+    ) -> list[Document]:
+        """
+        Common method to process search results
+
+        :param results: Search results
+        :param output_fields: Fields to be output
+        :param score_threshold: Score threshold for filtering
+        :return: List of documents
+        """
+        docs = []
+        for result in results[0]:
+            metadata = result["entity"].get(output_fields[1], {})
+            metadata["score"] = result["distance"]
+
+            if result["distance"] > score_threshold:
+                doc = Document(page_content=result["entity"].get(output_fields[0], ""), metadata=metadata)
+                docs.append(doc)
+
+        return docs
+
     def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
-        # Set search parameters.
+        """
+        Search for documents by vector similarity.
+        """
         results = self._client.search(
             collection_name=self._collection_name,
             data=[query_vector],
+            anns_field=Field.VECTOR.value,
             limit=kwargs.get("top_k", 4),
             output_fields=[Field.CONTENT_KEY.value, Field.METADATA_KEY.value],
         )
-        # Organize results.
+
-        docs = []
+        return self._process_search_results(
-        for result in results[0]:
+            results,
-            metadata = result["entity"].get(Field.METADATA_KEY.value)
+            output_fields=[Field.CONTENT_KEY.value, Field.METADATA_KEY.value],
-            metadata["score"] = result["distance"]
+            score_threshold=float(kwargs.get("score_threshold") or 0.0),
-            score_threshold = float(kwargs.get("score_threshold") or 0.0)
+        )
-            if result["distance"] > score_threshold:
-                doc = Document(page_content=result["entity"].get(Field.CONTENT_KEY.value), metadata=metadata)
-                docs.append(doc)
-        return docs
 
     def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
-        # milvus/zilliz doesn't support bm25 search
+        """
+        Search for documents by full-text search (if hybrid search is enabled).
+        """
+        if not self._hybrid_search_enabled or not self.field_exists(Field.SPARSE_VECTOR.value):
+            logger.warning("Full-text search is not supported in current Milvus version (requires >= 2.5.0)")
             return []
 
+        results = self._client.search(
+            collection_name=self._collection_name,
+            data=[query],
+            anns_field=Field.SPARSE_VECTOR.value,
+            limit=kwargs.get("top_k", 4),
+            output_fields=[Field.CONTENT_KEY.value, Field.METADATA_KEY.value],
+        )
+
+        return self._process_search_results(
+            results,
+            output_fields=[Field.CONTENT_KEY.value, Field.METADATA_KEY.value],
+            score_threshold=float(kwargs.get("score_threshold") or 0.0),
+        )
+
     def create_collection(
         self, embeddings: list, metadatas: Optional[list[dict]] = None, index_params: Optional[dict] = None
     ):
+        """
+        Create a new collection in Milvus with the specified schema and index parameters.
+        """
         lock_name = "vector_indexing_lock_{}".format(self._collection_name)
         with redis_client.lock(lock_name, timeout=20):
             collection_exist_cache_key = "vector_indexing_{}".format(self._collection_name)
@@ -161,7 +267,7 @@ class MilvusVector(BaseVector):
                 return
             # Grab the existing collection if it exists
             if not self._client.has_collection(self._collection_name):
-                from pymilvus import CollectionSchema, DataType, FieldSchema  # type: ignore
+                from pymilvus import CollectionSchema, DataType, FieldSchema, Function, FunctionType  # type: ignore
                 from pymilvus.orm.types import infer_dtype_bydata  # type: ignore
 
                 # Determine embedding dim
@@ -170,16 +276,36 @@ class MilvusVector(BaseVector):
                 if metadatas:
                     fields.append(FieldSchema(Field.METADATA_KEY.value, DataType.JSON, max_length=65_535))
 
-                # Create the text field
+                # Create the text field, enable_analyzer will be set True to support milvus automatically
-                fields.append(FieldSchema(Field.CONTENT_KEY.value, DataType.VARCHAR, max_length=65_535))
+                # transfer text to sparse_vector, reference: https://milvus.io/docs/full-text-search.md
+                fields.append(
+                    FieldSchema(
+                        Field.CONTENT_KEY.value,
+                        DataType.VARCHAR,
+                        max_length=65_535,
+                        enable_analyzer=self._hybrid_search_enabled,
+                    )
+                )
                 # Create the primary key field
                 fields.append(FieldSchema(Field.PRIMARY_KEY.value, DataType.INT64, is_primary=True, auto_id=True))
                 # Create the vector field, supports binary or float vectors
                 fields.append(FieldSchema(Field.VECTOR.value, infer_dtype_bydata(embeddings[0]), dim=dim))
+                # Create Sparse Vector Index for the collection
+                if self._hybrid_search_enabled:
+                    fields.append(FieldSchema(Field.SPARSE_VECTOR.value, DataType.SPARSE_FLOAT_VECTOR))
 
-                # Create the schema for the collection
                 schema = CollectionSchema(fields)
 
+                # Create custom function to support text to sparse vector by BM25
+                if self._hybrid_search_enabled:
+                    bm25_function = Function(
+                        name="text_bm25_emb",
+                        input_field_names=[Field.CONTENT_KEY.value],
+                        output_field_names=[Field.SPARSE_VECTOR.value],
+                        function_type=FunctionType.BM25,
+                    )
+                    schema.add_function(bm25_function)
+
                 for x in schema.fields:
                     self._fields.append(x.name)
                 # Since primary field is auto-id, no need to track it
@@ -189,10 +315,15 @@ class MilvusVector(BaseVector):
                 index_params_obj = IndexParams()
                 index_params_obj.add_index(field_name=Field.VECTOR.value, **index_params)
 
+                # Create Sparse Vector Index for the collection
+                if self._hybrid_search_enabled:
+                    index_params_obj.add_index(
+                        field_name=Field.SPARSE_VECTOR.value, index_type="AUTOINDEX", metric_type="BM25"
+                    )
+
                 # Create the collection
-                collection_name = self._collection_name
                 self._client.create_collection(
-                    collection_name=collection_name,
+                    collection_name=self._collection_name,
                     schema=schema,
                     index_params=index_params_obj,
                     consistency_level=self._consistency_level,
@@ -200,12 +331,22 @@ class MilvusVector(BaseVector):
             redis_client.set(collection_exist_cache_key, 1, ex=3600)
 
     def _init_client(self, config) -> MilvusClient:
+        """
+        Initialize and return a Milvus client.
+        """
         client = MilvusClient(uri=config.uri, user=config.user, password=config.password, db_name=config.database)
         return client
 
 
 class MilvusVectorFactory(AbstractVectorFactory):
+    """
+    Factory class for creating MilvusVector instances.
+    """
+
     def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> MilvusVector:
+        """
+        Initialize a MilvusVector instance for the given dataset.
+        """
         if dataset.index_struct_dict:
             class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
             collection_name = class_prefix
@@ -222,5 +363,6 @@ class MilvusVectorFactory(AbstractVectorFactory):
                 user=dify_config.MILVUS_USER or "",
                 password=dify_config.MILVUS_PASSWORD or "",
                 database=dify_config.MILVUS_DATABASE or "",
+                enable_hybrid_search=dify_config.MILVUS_ENABLE_HYBRID_SEARCH or False,
             ),
         )

api/core/tools/utils/parser.py

@@ -112,7 +112,7 @@ class ApiBasedToolSchemaParser:
                                 llm_description=property.get("description", ""),
                                 default=property.get("default", None),
                                 placeholder=I18nObject(
-                                    en_US=parameter.get("description", ""), zh_Hans=parameter.get("description", "")
+                                    en_US=property.get("description", ""), zh_Hans=property.get("description", "")
                                 ),
                             )
 

api/poetry.lock

@@ -469,13 +469,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.7.0"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
+    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
-    {file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
+    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
 ]
 
 [package.dependencies]
@@ -485,7 +485,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -856,13 +856,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.90"
+version = "1.35.94"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.90-py3-none-any.whl", hash = "sha256:51dcbe1b32e2ac43dac17091f401a00ce5939f76afe999081802009cce1e92e4"},
+    {file = "botocore-1.35.94-py3-none-any.whl", hash = "sha256:d784d944865d8279c79d2301fc09ac28b5221d4e7328fb4e23c642c253b9932c"},
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+
-[package.extras]
+[package.extras]
-protobuf = ["grpcio-tools (>=1.68.1)"]
+protobuf = ["grpcio-tools (>=1.67.1)"]
 
 [[package]]
 name = "grpcio-status"
@@ -4217,13 +4198,13 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 
 [[package]]
 name = "importlib-resources"
-version = "6.4.5"
+version = "6.5.2"
 description = "Read resources from Python packages"
 optional = false
-python-versions = ">=3.8"
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 files = [
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 [package.extras]
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 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 python-versions = ">=3.9"
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 [package.dependencies]
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 [package.extras]
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 tests = ["pytest", "simplejson"]
 
 [[package]]
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+python-versions = "*"
+files = [
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 [[package]]
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 version = "1.6.0"
@@ -6027,13 +6019,13 @@ files = [
 
 [[package]]
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 description = "OpenCensus Azure Monitor Exporter"
 optional = false
 python-versions = "*"
 files = [
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 [package.dependencies]
@@ -6793,13 +6785,13 @@ pydantic = ">=1.9,<3.0"
 
 [[package]]
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 [package.dependencies]
@@ -6841,20 +6833,20 @@ dill = ["dill (>=0.3.9)"]
 
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 ]
 
 [package.extras]
@@ -7464,13 +7456,13 @@ files = [
 
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 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -7498,21 +7490,21 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pymilvus"
-version = "2.4.9"
+version = "2.5.3"
 description = "Python Sdk for Milvus"
 optional = false
 python-versions = ">=3.8"
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 ujson = ">=2.0.0"
 
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 [[package]]
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 [[package]]
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+    {file = "scipy-1.15.0-cp312-cp312-win_amd64.whl", hash = "sha256:327163ad73e54541a675240708244644294cb0a65cca420c9c79baeb9648e479"},
-    {file = "scipy-1.14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1729560c906963fc8389f6aac023739ff3983e727b1a4d87696b7bf108316a79"},
+    {file = "scipy-1.15.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0fcb16eb04d84670722ce8d93b05257df471704c913cb0ff9dc5a1c31d1e9422"},
-    {file = "scipy-1.14.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:4079b90df244709e675cdc8b93bfd8a395d59af40b72e339c2287c91860deb8e"},
+    {file = "scipy-1.15.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:767e8cf6562931f8312f4faa7ddea412cb783d8df49e62c44d00d89f41f9bbe8"},
-    {file = "scipy-1.14.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:e0cf28db0f24a38b2a0ca33a85a54852586e43cf6fd876365c86e0657cfe7d73"},
+    {file = "scipy-1.15.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:37ce9394cdcd7c5f437583fc6ef91bd290014993900643fdfc7af9b052d1613b"},
-    {file = "scipy-1.14.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0c2f95de3b04e26f5f3ad5bb05e74ba7f68b837133a4492414b3afd79dfe540e"},
+    {file = "scipy-1.15.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:6d26f17c64abd6c6c2dfb39920f61518cc9e213d034b45b2380e32ba78fde4c0"},
-    {file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b99722ea48b7ea25e8e015e8341ae74624f72e5f21fc2abd45f3a93266de4c5d"},
+    {file = "scipy-1.15.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e2448acd79c6374583581a1ded32ac71a00c2b9c62dfa87a40e1dd2520be111"},
-    {file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5149e3fd2d686e42144a093b206aef01932a0059c2a33ddfa67f5f035bdfe13e"},
+    {file = "scipy-1.15.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36be480e512d38db67f377add5b759fb117edd987f4791cdf58e59b26962bee4"},
-    {file = "scipy-1.14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4f5a7c49323533f9103d4dacf4e4f07078f360743dec7f7596949149efeec06"},
+    {file = "scipy-1.15.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ccb6248a9987193fe74363a2d73b93bc2c546e0728bd786050b7aef6e17db03c"},
-    {file = "scipy-1.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:baff393942b550823bfce952bb62270ee17504d02a1801d7fd0719534dfb9c84"},
+    {file = "scipy-1.15.0-cp313-cp313-win_amd64.whl", hash = "sha256:952d2e9eaa787f0a9e95b6e85da3654791b57a156c3e6609e65cc5176ccfe6f2"},
-    {file = "scipy-1.14.1.tar.gz", hash = "sha256:5a275584e726026a5699459aa72f828a610821006228e841b94275c4a7c08417"},
+    {file = "scipy-1.15.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:b1432102254b6dc7766d081fa92df87832ac25ff0b3d3a940f37276e63eb74ff"},
-]
+    {file = "scipy-1.15.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:4e08c6a36f46abaedf765dd2dfcd3698fa4bd7e311a9abb2d80e33d9b2d72c34"},
-
+    {file = "scipy-1.15.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:ec915cd26d76f6fc7ae8522f74f5b2accf39546f341c771bb2297f3871934a52"},
-[package.dependencies]
+    {file = "scipy-1.15.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:351899dd2a801edd3691622172bc8ea01064b1cada794f8641b89a7dc5418db6"},
-numpy = ">=1.23.5,<2.3"
+    {file = "scipy-1.15.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9baff912ea4f78a543d183ed6f5b3bea9784509b948227daaf6f10727a0e2e5"},
+    {file = "scipy-1.15.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:cd9d9198a7fd9a77f0eb5105ea9734df26f41faeb2a88a0e62e5245506f7b6df"},
+    {file = "scipy-1.15.0-cp313-cp313t-win_amd64.whl", hash = "sha256:129f899ed275c0515d553b8d31696924e2ca87d1972421e46c376b9eb87de3d2"},
+    {file = "scipy-1.15.0.tar.gz", hash = "sha256:300742e2cc94e36a2880ebe464a1c8b4352a7b0f3e36ec3d2ac006cdbe0219ac"},
+]
+
+[package.dependencies]
+numpy = ">=1.23.5,<2.5"
 
 [package.extras]
 dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
-doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<=7.3.7)", "sphinx-design (>=0.4.0)"]
+doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.16.5)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"]
-test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "sentry-sdk"
@@ -9105,23 +9104,23 @@ tornado = ["tornado (>=5)"]
 
 [[package]]
 name = "setuptools"
-version = "75.6.0"
+version = "75.7.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "setuptools-75.6.0-py3-none-any.whl", hash = "sha256:ce74b49e8f7110f9bf04883b730f4765b774ef3ef28f722cce7c273d253aaf7d"},
+    {file = "setuptools-75.7.0-py3-none-any.whl", hash = "sha256:84fb203f278ebcf5cd08f97d3fb96d3fbed4b629d500b29ad60d11e00769b183"},
-    {file = "setuptools-75.6.0.tar.gz", hash = "sha256:8199222558df7c86216af4f84c30e9b34a61d8ba19366cc914424cdbd28252f6"},
+    {file = "setuptools-75.7.0.tar.gz", hash = "sha256:886ff7b16cd342f1d1defc16fc98c9ce3fde69e087a4e1983d7ab634e5f41f4f"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.7.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"]
 core = ["importlib_metadata (>=6)", "jaraco.collections", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (>=1.12,<1.14)", "pytest-mypy"]
+type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "sgmllib3k"
@@ -9532,13 +9531,13 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "tencentcloud-sdk-python-common"
-version = "3.0.1294"
+version = "3.0.1298"
 description = "Tencent Cloud Common SDK for Python"
 optional = false
 python-versions = "*"
 files = [
-    {file = "tencentcloud-sdk-python-common-3.0.1294.tar.gz", hash = "sha256:a6d079690b69d60e8bfd1e27a65138e36d7f6cc57de7e7549c45a6084bc4743c"},
+    {file = "tencentcloud-sdk-python-common-3.0.1298.tar.gz", hash = "sha256:0f0f182410c1ceda5764ff8bcbef27aa6139caf1c5f5985d94ec731a41c8a59f"},
-    {file = "tencentcloud_sdk_python_common-3.0.1294-py2.py3-none-any.whl", hash = "sha256:bc43fb56e6a9d0f825d74f1cbdf159e0417ff3f4b59b9c75a73eeb6526259329"},
+    {file = "tencentcloud_sdk_python_common-3.0.1298-py2.py3-none-any.whl", hash = "sha256:c80929a0ff57ebee4ceec749dc82d5f2d1105b888e55175a7e9c722afc3a5d7a"},
 ]
 
 [package.dependencies]
@@ -9546,17 +9545,17 @@ requests = ">=2.16.0"
 
 [[package]]
 name = "tencentcloud-sdk-python-hunyuan"
-version = "3.0.1294"
+version = "3.0.1298"
 description = "Tencent Cloud Hunyuan SDK for Python"
 optional = false
 python-versions = "*"
 files = [
-    {file = "tencentcloud-sdk-python-hunyuan-3.0.1294.tar.gz", hash = "sha256:ca7463b26e54bd4dc922c5bce24f728b9fed1494d55a3a0a76594db74f347657"},
+    {file = "tencentcloud-sdk-python-hunyuan-3.0.1298.tar.gz", hash = "sha256:c3d86a577de02046d25682a3804955453555fa641082bb8765238460bded3f03"},
-    {file = "tencentcloud_sdk_python_hunyuan-3.0.1294-py2.py3-none-any.whl", hash = "sha256:b53ea5c7880623d649eb235a2a6865312db1276b03bf21d9520d2136d14dadf4"},
+    {file = "tencentcloud_sdk_python_hunyuan-3.0.1298-py2.py3-none-any.whl", hash = "sha256:f01e33318b6a4152ac88c500fda77f2cda1864eeca000cdd29c41e4f92f8de65"},
 ]
 
 [package.dependencies]
-tencentcloud-sdk-python-common = "3.0.1294"
+tencentcloud-sdk-python-common = "3.0.1298"
 
 [[package]]
 name = "termcolor"
@@ -10107,13 +10106,13 @@ files = [
 
 [[package]]
 name = "unstructured"
-version = "0.16.11"
+version = "0.16.12"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
 python-versions = "<3.13,>=3.9.0"
 files = [
-    {file = "unstructured-0.16.11-py3-none-any.whl", hash = "sha256:a92d5bc2c2b7bb23369641fb7a7f0daba1775639199306ce4cd83ca564a03763"},
+    {file = "unstructured-0.16.12-py3-none-any.whl", hash = "sha256:bcac29ac1b38fba4228c5a1a7721d1aa7c48220f7c1dd43b563645c56e978c49"},
-    {file = "unstructured-0.16.11.tar.gz", hash = "sha256:33ebf68aae11ce33c8a96335296557b5abd8ba96eaba3e5a1554c0b9eee40bb5"},
+    {file = "unstructured-0.16.12.tar.gz", hash = "sha256:c3133731c6edb9c2f474e62cb2b560cd0a8d578c4532ec14d8c0941e401770b0"},
 ]
 
 [package.dependencies]
@@ -10127,6 +10126,7 @@ html5lib = "*"
 langdetect = "*"
 lxml = "*"
 markdown = {version = "*", optional = true, markers = "extra == \"md\""}
+ndjson = "*"
 nltk = "*"
 numpy = "<2"
 psutil = "*"
@@ -10998,13 +10998,13 @@ requests = "*"
 
 [[package]]
 name = "zhipuai"
-version = "2.1.5.20241204"
+version = "2.1.5.20250106"
 description = "A SDK library for accessing big model apis from ZhipuAI"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 files = [
-    {file = "zhipuai-2.1.5.20241204-py3-none-any.whl", hash = "sha256:063c7527d6741ced82eedb19d53fd24ce61cf43ab835ee3c0262843f59503a7c"},
+    {file = "zhipuai-2.1.5.20250106-py3-none-any.whl", hash = "sha256:ca76095f32db501e36038fc1ac4b287b88ed90c4cdd28902d3b1a9365fff879b"},
-    {file = "zhipuai-2.1.5.20241204.tar.gz", hash = "sha256:888b42a83c8f1daf07375b84e560219eedab96b9f9e59542f0329928291db635"},
+    {file = "zhipuai-2.1.5.20250106.tar.gz", hash = "sha256:45d391be336a210b360f126443f07882fa6d8184a148c46a8c7d0b7607d6d1f8"},
 ]
 
 [package.dependencies]
@@ -11220,4 +11220,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.13"
-content-hash = "8c74132f2fe0b8dc7318bfbfb1bd3dbf7cd2ecfd4fc430c8924b46edacc8d33e"
+content-hash = "907718f7ca775ad226c1f668f4bb6c6dbfa6cacc556fce43a8ad0b6f3c35095a"

api/pyproject.toml

@@ -71,7 +71,7 @@ pyjwt = "~2.8.0"
 pypdfium2 = "~4.30.0"
 python = ">=3.11,<3.13"
 python-docx = "~1.1.0"
-python-dotenv = "1.0.0"
+python-dotenv = "1.0.1"
 pyyaml = "~6.0.1"
 readabilipy = "0.2.0"
 redis = { version = "~5.0.3", extras = ["hiredis"] }
@@ -157,7 +157,7 @@ opensearch-py = "2.4.0"
 oracledb = "~2.2.1"
 pgvecto-rs = { version = "~0.2.1", extras = ['sqlalchemy'] }
 pgvector = "0.2.5"
-pymilvus = "~2.4.4"
+pymilvus = "~2.5.0"
 pymochow = "1.3.1"
 pyobvector = "~0.1.6"
 qdrant-client = "1.7.3"

api/services/dataset_service.py

@@ -792,13 +792,19 @@ class DocumentService:
             dataset.indexing_technique = knowledge_config.indexing_technique
             if knowledge_config.indexing_technique == "high_quality":
                 model_manager = ModelManager()
+                if knowledge_config.embedding_model and knowledge_config.embedding_model_provider:
+                    dataset_embedding_model = knowledge_config.embedding_model
+                    dataset_embedding_model_provider = knowledge_config.embedding_model_provider
+                else:
                     embedding_model = model_manager.get_default_model_instance(
                         tenant_id=current_user.current_tenant_id, model_type=ModelType.TEXT_EMBEDDING
                     )
-                dataset.embedding_model = embedding_model.model
+                    dataset_embedding_model = embedding_model.model
-                dataset.embedding_model_provider = embedding_model.provider
+                    dataset_embedding_model_provider = embedding_model.provider
+                dataset.embedding_model = dataset_embedding_model
+                dataset.embedding_model_provider = dataset_embedding_model_provider
                 dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding(
-                    embedding_model.provider, embedding_model.model
+                    dataset_embedding_model_provider, dataset_embedding_model
                 )
                 dataset.collection_binding_id = dataset_collection_binding.id
                 if not dataset.retrieval_model:
@@ -810,7 +816,11 @@ class DocumentService:
                         "score_threshold_enabled": False,
                     }
 
-                    dataset.retrieval_model = knowledge_config.retrieval_model.model_dump() or default_retrieval_model  # type: ignore
+                    dataset.retrieval_model = (
+                        knowledge_config.retrieval_model.model_dump()
+                        if knowledge_config.retrieval_model
+                        else default_retrieval_model
+                    )  # type: ignore
 
         documents = []
         if knowledge_config.original_document_id:

api/tasks/deal_dataset_vector_index_task.py

@@ -28,7 +28,7 @@ def deal_dataset_vector_index_task(dataset_id: str, action: str):
 
         if not dataset:
             raise Exception("Dataset not found")
-        index_type = dataset.doc_form
+        index_type = dataset.doc_form or IndexType.PARAGRAPH_INDEX
         index_processor = IndexProcessorFactory(index_type).init_index_processor()
         if action == "remove":
             index_processor.clean(dataset, None, with_keywords=False)
@@ -157,6 +157,9 @@ def deal_dataset_vector_index_task(dataset_id: str, action: str):
                             {"indexing_status": "error", "error": str(e)}, synchronize_session=False
                         )
                         db.session.commit()
+            else:
+                # clean collection
+                index_processor.clean(dataset, None, with_keywords=False, delete_child_chunks=False)
 
         end_at = time.perf_counter()
         logging.info(

api/tests/integration_tests/vdb/milvus/test_milvus.py

@@ -19,9 +19,9 @@ class MilvusVectorTest(AbstractVectorTest):
         )
 
     def search_by_full_text(self):
-        # milvus dos not support full text searching yet in < 2.3.x
+        # milvus support BM25 full text search after version 2.5.0-beta
         hits_by_full_text = self.vector.search_by_full_text(query=get_example_text())
-        assert len(hits_by_full_text) == 0
+        assert len(hits_by_full_text) >= 0
 
     def get_ids_by_metadata_field(self):
         ids = self.vector.get_ids_by_metadata_field(key="document_id", value=self.example_doc_id)

docker/.env.example

@@ -403,6 +403,7 @@ MILVUS_URI=http://127.0.0.1:19530
 MILVUS_TOKEN=
 MILVUS_USER=root
 MILVUS_PASSWORD=Milvus
+MILVUS_ENABLE_HYBRID_SEARCH=False
 
 # MyScale configuration, only available when VECTOR_STORE is `myscale`
 # For multi-language support, please set MYSCALE_FTS_PARAMS with referring to:
@@ -512,7 +513,7 @@ TENCENT_VECTOR_DB_SHARD=1
 TENCENT_VECTOR_DB_REPLICAS=2
 
 # ElasticSearch configuration, only available when VECTOR_STORE is `elasticsearch`
-ELASTICSEARCH_HOST=elasticsearch
+ELASTICSEARCH_HOST=0.0.0.0
 ELASTICSEARCH_PORT=9200
 ELASTICSEARCH_USERNAME=elastic
 ELASTICSEARCH_PASSWORD=elastic

docker/docker-compose-template.yaml

@@ -409,7 +409,7 @@ services:
 
   milvus-standalone:
     container_name: milvus-standalone
-    image: milvusdb/milvus:v2.3.1
+    image: milvusdb/milvus:v2.5.0-beta
     profiles:
       - milvus
     command: [ 'milvus', 'run', 'standalone' ]
@@ -493,20 +493,28 @@ services:
     container_name: elasticsearch
     profiles:
       - elasticsearch
+      - elasticsearch-ja
     restart: always
     volumes:
+      - ./elasticsearch/docker-entrypoint.sh:/docker-entrypoint-mount.sh
       - dify_es01_data:/usr/share/elasticsearch/data
     environment:
       ELASTIC_PASSWORD: ${ELASTICSEARCH_PASSWORD:-elastic}
+      VECTOR_STORE: ${VECTOR_STORE:-}
       cluster.name: dify-es-cluster
       node.name: dify-es0
       discovery.type: single-node
-      xpack.license.self_generated.type: trial
+      xpack.license.self_generated.type: basic
       xpack.security.enabled: 'true'
       xpack.security.enrollment.enabled: 'false'
       xpack.security.http.ssl.enabled: 'false'
     ports:
       - ${ELASTICSEARCH_PORT:-9200}:9200
+    deploy:
+      resources:
+        limits:
+          memory: 2g
+    entrypoint: [ 'sh', '-c', "sh /docker-entrypoint-mount.sh" ]
     healthcheck:
       test: [ 'CMD', 'curl', '-s', 'http://localhost:9200/_cluster/health?pretty' ]
       interval: 30s

docker/docker-compose.yaml

@@ -138,6 +138,7 @@ x-shared-env: &shared-api-worker-env
   MILVUS_TOKEN: ${MILVUS_TOKEN:-}
   MILVUS_USER: ${MILVUS_USER:-root}
   MILVUS_PASSWORD: ${MILVUS_PASSWORD:-Milvus}
+  MILVUS_ENABLE_HYBRID_SEARCH: ${MILVUS_ENABLE_HYBRID_SEARCH:-False}
   MYSCALE_HOST: ${MYSCALE_HOST:-myscale}
   MYSCALE_PORT: ${MYSCALE_PORT:-8123}
   MYSCALE_USER: ${MYSCALE_USER:-default}
@@ -799,7 +800,7 @@ services:
 
   milvus-standalone:
     container_name: milvus-standalone
-    image: milvusdb/milvus:v2.3.1
+    image: milvusdb/milvus:v2.5.0-beta
     profiles:
       - milvus
     command: [ 'milvus', 'run', 'standalone' ]

web/app/(commonLayout)/datasets/template/template.en.mdx

@@ -1106,6 +1106,57 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 
 <hr className='ml-0 mr-0' />
 
+<Heading
+  url='/datasets/{dataset_id}/documents/{document_id}/upload-file'
+  method='GET'
+  title='Get Upload File'
+  name='#get_upload_file'
+/>
+<Row>
+  <Col>
+    ### Path
+    <Properties>
+      <Property name='dataset_id' type='string' key='dataset_id'>
+        Knowledge ID
+      </Property>
+      <Property name='document_id' type='string' key='document_id'>
+        Document ID
+      </Property>
+    </Properties>
+  </Col>
+  <Col sticky>
+    <CodeGroup
+      title="Request"
+      tag="GET"
+      label="/datasets/{dataset_id}/documents/{document_id}/upload-file"
+      targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`}
+    >
+    ```bash {{ title: 'cURL' }}
+    curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \
+    --header 'Authorization: Bearer {api_key}' \
+    --header 'Content-Type: application/json'
+    ```
+    </CodeGroup>
+    <CodeGroup title="Response">
+    ```json {{ title: 'Response' }}
+    {
+      "id": "file_id",
+      "name": "file_name",
+      "size": 1024,
+      "extension": "txt",
+      "url": "preview_url",
+      "download_url": "download_url",
+      "mime_type": "text/plain",
+      "created_by": "user_id",
+      "created_at": 1728734540,
+    }
+    ```
+    </CodeGroup>
+  </Col>
+</Row>
+
+<hr className='ml-0 mr-0' />
+
 <Heading
   url='/datasets/{dataset_id}/retrieve'
   method='POST'

web/app/(commonLayout)/datasets/template/template.zh.mdx

@@ -1107,6 +1107,57 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 
 <hr className='ml-0 mr-0' />
 
+<Heading
+  url='/datasets/{dataset_id}/documents/{document_id}/upload-file'
+  method='GET'
+  title='获取上传文件'
+  name='#get_upload_file'
+/>
+<Row>
+  <Col>
+    ### Path
+    <Properties>
+      <Property name='dataset_id' type='string' key='dataset_id'>
+        知识库 ID
+      </Property>
+      <Property name='document_id' type='string' key='document_id'>
+        文档 ID
+      </Property>
+    </Properties>
+  </Col>
+  <Col sticky>
+    <CodeGroup
+      title="Request"
+      tag="GET"
+      label="/datasets/{dataset_id}/documents/{document_id}/upload-file"
+      targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`}
+    >
+    ```bash {{ title: 'cURL' }}
+    curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \
+    --header 'Authorization: Bearer {api_key}' \
+    --header 'Content-Type: application/json'
+    ```
+    </CodeGroup>
+    <CodeGroup title="Response">
+    ```json {{ title: 'Response' }}
+    {
+      "id": "file_id",
+      "name": "file_name",
+      "size": 1024,
+      "extension": "txt",
+      "url": "preview_url",
+      "download_url": "download_url",
+      "mime_type": "text/plain",
+      "created_by": "user_id",
+      "created_at": 1728734540,
+    }
+    ```
+    </CodeGroup>
+  </Col>
+</Row>
+
+<hr className='ml-0 mr-0' />
+
 <Heading
   url='/datasets/{dataset_id}/retrieve'
   method='POST'

web/app/components/app/overview/appChart.tsx

@@ -6,6 +6,7 @@ import type { EChartsOption } from 'echarts'
 import useSWR from 'swr'
 import dayjs from 'dayjs'
 import { get } from 'lodash-es'
+import Decimal from 'decimal.js'
 import { useTranslation } from 'react-i18next'
 import { formatNumber } from '@/utils/format'
 import Basic from '@/app/components/app-sidebar/basic'
@@ -60,10 +61,8 @@ const CHART_TYPE_CONFIG: Record<string, IChartConfigType> = {
   },
 }
 
-const sum = (arr: number[]): number => {
+const sum = (arr: Decimal.Value[]): number => {
-  return arr.reduce((acr, cur) => {
+  return Decimal.sum(...arr).toNumber()
-    return acr + cur
-  })
 }
 
 const defaultPeriod = {

web/app/components/app/text-generate/item/index.tsx

@@ -306,8 +306,14 @@ const GenerationItem: FC<IGenerationItemProps> = ({
             }
             <div className={`flex ${contentClassName}`}>
               <div className='grow w-0'>
-                {siteInfo && siteInfo.show_workflow_steps && workflowProcessData && (
+                {siteInfo && workflowProcessData && (
-                  <WorkflowProcessItem data={workflowProcessData} expand={workflowProcessData.expand} hideProcessDetail={hideProcessDetail} />
+                  <WorkflowProcessItem
+                    data={workflowProcessData}
+                    expand={workflowProcessData.expand}
+                    hideProcessDetail={hideProcessDetail}
+                    hideInfo={hideProcessDetail}
+                    readonly={!siteInfo.show_workflow_steps}
+                  />
                 )}
                 {workflowProcessData && !isError && (
                   <ResultTab data={workflowProcessData} content={content} currentTab={currentTab} onCurrentTabChange={setCurrentTab} />

web/app/components/base/chat/chat/answer/index.tsx

@@ -13,7 +13,7 @@ import AgentContent from './agent-content'
 import BasicContent from './basic-content'
 import SuggestedQuestions from './suggested-questions'
 import More from './more'
-import WorkflowProcess from './workflow-process'
+import WorkflowProcessItem from './workflow-process'
 import LoadingAnim from '@/app/components/base/chat/chat/loading-anim'
 import Citation from '@/app/components/base/chat/chat/citation'
 import { EditTitle } from '@/app/components/app/annotation/edit-annotation-modal/edit-item'
@@ -133,7 +133,7 @@ const Answer: FC<AnswerProps> = ({
             {/** Render the normal steps */}
             {
               workflowProcess && !hideProcessDetail && (
-                <WorkflowProcess
+                <WorkflowProcessItem
                   data={workflowProcess}
                   item={item}
                   hideProcessDetail={hideProcessDetail}
@@ -142,11 +142,12 @@ const Answer: FC<AnswerProps> = ({
             }
             {/** Hide workflow steps by it's settings in siteInfo */}
             {
-              workflowProcess && hideProcessDetail && appData && appData.site.show_workflow_steps && (
+              workflowProcess && hideProcessDetail && appData && (
-                <WorkflowProcess
+                <WorkflowProcessItem
                   data={workflowProcess}
                   item={item}
                   hideProcessDetail={hideProcessDetail}
+                  readonly={!appData.site.show_workflow_steps}
                 />
               )
             }

web/app/components/base/chat/chat/answer/workflow-process.tsx

@@ -23,6 +23,7 @@ type WorkflowProcessProps = {
   expand?: boolean
   hideInfo?: boolean
   hideProcessDetail?: boolean
+  readonly?: boolean
 }
 const WorkflowProcessItem = ({
   data,
@@ -30,6 +31,7 @@ const WorkflowProcessItem = ({
   expand = false,
   hideInfo = false,
   hideProcessDetail = false,
+  readonly = false,
 }: WorkflowProcessProps) => {
   const { t } = useTranslation()
   const [collapse, setCollapse] = useState(!expand)
@@ -81,8 +83,8 @@ const WorkflowProcessItem = ({
       }}
     >
       <div
-        className={cn('flex items-center cursor-pointer', !collapse && 'px-1.5')}
+        className={cn('flex items-center cursor-pointer', !collapse && 'px-1.5', readonly && 'cursor-default')}
-        onClick={() => setCollapse(!collapse)}
+        onClick={() => !readonly && setCollapse(!collapse)}
       >
         {
           running && (
@@ -102,10 +104,10 @@ const WorkflowProcessItem = ({
         <div className={cn('system-xs-medium text-text-secondary', !collapse && 'grow')}>
           {t('workflow.common.workflowProcess')}
         </div>
-        <RiArrowRightSLine className={`'ml-1 w-4 h-4 text-text-tertiary' ${collapse ? '' : 'rotate-90'}`} />
+        {!readonly && <RiArrowRightSLine className={`'ml-1 w-4 h-4 text-text-tertiary' ${collapse ? '' : 'rotate-90'}`} />}
       </div>
       {
-        !collapse && (
+        !collapse && !readonly && (
           <div className='mt-1.5'>
             {
               <TracingPanel

web/app/components/develop/doc.tsx

@@ -61,6 +61,23 @@ const Doc = ({ appDetail }: IDocProps) => {
     // Run after component has rendered
     setTimeout(extractTOC, 0)
   }, [appDetail, locale])
+
+  const handleTocClick = (e: React.MouseEvent<HTMLAnchorElement>, item: { href: string; text: string }) => {
+    e.preventDefault()
+    const targetId = item.href.replace('#', '')
+    const element = document.getElementById(targetId)
+    if (element) {
+      const scrollContainer = document.querySelector('.overflow-auto')
+      if (scrollContainer) {
+        const headerOffset = 80
+        const elementTop = element.offsetTop - headerOffset
+        scrollContainer.scrollTo({
+          top: elementTop,
+          behavior: 'smooth',
+        })
+      }
+    }
+  }
   return (
     <div className="flex">
       <div className={`fixed right-8 top-32 z-10 transition-all ${isTocExpanded ? 'w-64' : 'w-10'}`}>
@@ -82,6 +99,7 @@ const Doc = ({ appDetail }: IDocProps) => {
                     <a
                       href={item.href}
                       className="text-gray-600 hover:text-gray-900 hover:underline transition-colors duration-200"
+                      onClick={e => handleTocClick(e, item)}
                     >
                       {item.text}
                     </a>

web/app/components/develop/template/template.en.mdx

@@ -444,22 +444,16 @@ The text generation application offers non-session support and is ideal for tran
 <Row>
   <Col>
   Used to get basic information about this application
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        User identifier, defined by the developer's rules, must be unique within the application.
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) application name
   - `description` (string) application description
   - `tags` (array[string]) application tags
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -490,14 +484,6 @@ The text generation application offers non-session support and is ideal for tran
   <Col>
     Used at the start of entering the page to obtain information such as features, input parameter names, types, and default values.
 
-    ### Query
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-          User identifier, defined by the developer's rules, must be unique within the application.
-      </Property>
-    </Properties>
-
     ### Response
     - `opening_statement` (string) Opening statement
     - `suggested_questions` (array[string]) List of suggested questions for the opening
@@ -541,10 +527,10 @@ The text generation application offers non-session support and is ideal for tran
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template.ja.mdx

@@ -442,22 +442,16 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 <Row>
   <Col>
   このアプリケーションの基本情報を取得するために使用されます
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        ユーザー識別子、開発者のルールによって定義され、アプリケーション内で一意でなければなりません。
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) アプリケーションの名前
   - `description` (string) アプリケーションの説明
   - `tags` (array[string]) アプリケーションのタグ
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -488,14 +482,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   <Col>
     ページ開始時に、機能、入力パラメータ名、タイプ、デフォルト値などの情報を取得するために使用されます。
 
-    ### クエリ
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-          開発者のルールで定義されたユーザー識別子。アプリケーション内で一意である必要があります。
-      </Property>
-    </Properties>
-
     ### レスポンス
     - `opening_statement` (string) 開始文
     - `suggested_questions` (array[string]) 開始時の提案質問リスト
@@ -539,10 +525,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template.zh.mdx

@@ -419,22 +419,15 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
 <Row>
   <Col>
   用于获取应用的基本信息
-  ### Query
-    <Properties>
-
-   <Property name='user' type='string' key='user'>
-      用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) 应用名称
   - `description` (string) 应用描述
   - `tags` (array[string]) 应用标签
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -465,14 +458,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
   <Col>
     用于进入页面一开始，获取功能开关、输入参数名称、类型及默认值等使用。
 
-    ### Query
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-        用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-      </Property>
-    </Properties>
-
     ### Response
     - `opening_statement` (string) 开场白
     - `suggested_questions` (array[string]) 开场推荐问题列表
@@ -518,7 +503,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
     <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'\\\n--header 'Authorization: Bearer {api_key}'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_advanced_chat.en.mdx

@@ -952,22 +952,16 @@ Chat applications support session persistence, allowing previous chat history to
 <Row>
   <Col>
   Used to get basic information about this application
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        User identifier, defined by the developer's rules, must be unique within the application.
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) application name
   - `description` (string) application description
   - `tags` (array[string]) application tags
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -998,14 +992,6 @@ Chat applications support session persistence, allowing previous chat history to
   <Col>
     Used at the start of entering the page to obtain information such as features, input parameter names, types, and default values.
 
-    ### Query
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-          User identifier, defined by the developer's rules, must be unique within the application.
-      </Property>
-    </Properties>
-
     ### Response
     - `opening_statement` (string) Opening statement
     - `suggested_questions` (array[string]) List of suggested questions for the opening
@@ -1049,10 +1035,10 @@ Chat applications support session persistence, allowing previous chat history to
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1117,13 +1103,7 @@ Chat applications support session persistence, allowing previous chat history to
 <Row>
   <Col>
   Used to get icons of tools in this application
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        User identifier, defined by the developer's rules, must be unique within the application.
-    </Property>
-      </Properties>
   ### Response
   - `tool_icons`(object[string]) tool icons
     - `tool_name` (string)
@@ -1134,9 +1114,9 @@ Chat applications support session persistence, allowing previous chat history to
         - (string) url of icon
   </Col>
   <Col>
-  <CodeGroup title="Request" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="Request" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/meta' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_advanced_chat.ja.mdx

@@ -951,22 +951,16 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 <Row>
   <Col>
   このアプリケーションの基本情報を取得するために使用されます
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        ユーザー識別子、開発者のルールによって定義され、アプリケーション内で一意でなければなりません。
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) アプリケーションの名前
   - `description` (string) アプリケーションの説明
   - `tags` (array[string]) アプリケーションのタグ
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -997,14 +991,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   <Col>
     ページに入る際に、機能、入力パラメータ名、タイプ、デフォルト値などの情報を取得するために使用されます。
 
-    ### クエリ
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-          ユーザー識別子、開発者のルールによって定義され、アプリケーション内で一意でなければなりません。
-      </Property>
-    </Properties>
-
     ### 応答
     - `opening_statement` (string) 開始の挨拶
     - `suggested_questions` (array[string]) 開始時の推奨質問のリスト
@@ -1048,10 +1034,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   </Col>
   <Col sticky>
 
-    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1116,13 +1102,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 <Row>
   <Col>
   このアプリケーションのツールのアイコンを取得するために使用されます
-  ### クエリ
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        ユーザー識別子、開発者のルールによって定義され、アプリケーション内で一意でなければなりません。
-    </Property>
-      </Properties>
   ### 応答
   - `tool_icons`(object[string]) ツールアイコン
     - `tool_name` (string)
@@ -1133,9 +1113,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
         - (string) アイコンのURL
   </Col>
   <Col>
-  <CodeGroup title="リクエスト" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="リクエスト" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/meta' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_advanced_chat.zh.mdx

@@ -985,22 +985,15 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
 <Row>
   <Col>
   用于获取应用的基本信息
-  ### Query
-    <Properties>
-
-   <Property name='user' type='string' key='user'>
-      用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) 应用名称
   - `description` (string) 应用描述
   - `tags` (array[string]) 应用标签
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -1031,14 +1024,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
   <Col>
     用于进入页面一开始，获取功能开关、输入参数名称、类型及默认值等使用。
 
-    ### Query
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-        用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-      </Property>
-    </Properties>
-
     ### Response
     - `opening_statement` (string) 开场白
     - `suggested_questions` (array[string]) 开场推荐问题列表
@@ -1084,7 +1069,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
     <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'\\\n--header 'Authorization: Bearer {api_key}'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1141,13 +1126,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
 <Row>
   <Col>
   用于获取工具icon
-  ### Query
-    <Properties>
-
-   <Property name='user' type='string' key='user'>
-      用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-    </Property>
-      </Properties>
   ### Response
   - `tool_icons`(object[string]) 工具图标
     - `工具名称` (string)
@@ -1158,9 +1136,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
         - (string) 图标URL
   </Col>
   <Col>
-  <CodeGroup title="Request" tag="POST" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="Request" tag="POST" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/meta' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_chat.en.mdx

@@ -980,22 +980,16 @@ Chat applications support session persistence, allowing previous chat history to
 <Row>
   <Col>
   Used to get basic information about this application
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        User identifier, defined by the developer's rules, must be unique within the application.
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) application name
   - `description` (string) application description
   - `tags` (array[string]) application tags
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -1077,10 +1071,10 @@ Chat applications support session persistence, allowing previous chat history to
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1145,13 +1139,7 @@ Chat applications support session persistence, allowing previous chat history to
 <Row>
   <Col>
   Used to get icons of tools in this application
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        User identifier, defined by the developer's rules, must be unique within the application.
-    </Property>
-      </Properties>
   ### Response
   - `tool_icons`(object[string]) tool icons
     - `tool_name` (string)
@@ -1162,9 +1150,9 @@ Chat applications support session persistence, allowing previous chat history to
         - (string) url of icon
   </Col>
   <Col>
-  <CodeGroup title="Request" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="Request" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/meta' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_chat.ja.mdx

@@ -978,22 +978,16 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 <Row>
   <Col>
   このアプリケーションの基本情報を取得するために使用されます
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        ユーザー識別子、開発者のルールによって定義され、アプリケーション内で一意でなければなりません。
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) アプリケーションの名前
   - `description` (string) アプリケーションの説明
   - `tags` (array[string]) アプリケーションのタグ
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -1024,14 +1018,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   <Col>
     ページに入る際に、機能、入力パラメータ名、タイプ、デフォルト値などの情報を取得するために使用されます。
 
-    ### クエリ
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-          ユーザー識別子、開発者のルールで定義され、アプリケーション内で一意でなければなりません。
-      </Property>
-    </Properties>
-
     ### 応答
     - `opening_statement` (string) 開始文
     - `suggested_questions` (array[string]) 開始時の推奨質問のリスト
@@ -1075,10 +1061,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   </Col>
   <Col sticky>
 
-    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1143,13 +1129,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 <Row>
   <Col>
   このアプリケーションのツールのアイコンを取得するために使用されます
-  ### クエリ
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        ユーザー識別子、開発者のルールで定義され、アプリケーション内で一意でなければなりません。
-    </Property>
-      </Properties>
   ### 応答
   - `tool_icons`(object[string]) ツールアイコン
     - `tool_name` (string)
@@ -1160,9 +1140,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
         - (string) アイコンのURL
   </Col>
   <Col>
-  <CodeGroup title="リクエスト" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="リクエスト" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/meta' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_chat.zh.mdx

@@ -993,22 +993,15 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
 <Row>
   <Col>
   用于获取应用的基本信息
-  ### Query
-    <Properties>
-
-   <Property name='user' type='string' key='user'>
-      用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) 应用名称
   - `description` (string) 应用描述
   - `tags` (array[string]) 应用标签
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -1039,14 +1032,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
   <Col>
     用于进入页面一开始，获取功能开关、输入参数名称、类型及默认值等使用。
 
-    ### Query
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-        用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-      </Property>
-    </Properties>
-
     ### Response
     - `opening_statement` (string) 开场白
     - `suggested_questions` (array[string]) 开场推荐问题列表
@@ -1092,7 +1077,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
     <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'\\\n--header 'Authorization: Bearer {api_key}'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1149,13 +1134,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
 <Row>
   <Col>
   用于获取工具icon
-  ### Query
-    <Properties>
-
-   <Property name='user' type='string' key='user'>
-      用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-    </Property>
-      </Properties>
   ### Response
   - `tool_icons`(object[string]) 工具图标
     - `工具名称` (string)
@@ -1166,9 +1144,9 @@ import { Row, Col, Properties, Property, Heading, SubProperty } from '../md.tsx'
         - (string) 图标URL
   </Col>
   <Col>
-  <CodeGroup title="Request" tag="POST" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="Request" tag="POST" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/meta' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_workflow.en.mdx

@@ -610,22 +610,16 @@ Workflow applications offers non-session support and is ideal for translation, a
 <Row>
   <Col>
   Used to get basic information about this application
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        User identifier, defined by the developer's rules, must be unique within the application.
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) application name
   - `description` (string) application description
   - `tags` (array[string]) application tags
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -656,14 +650,6 @@ Workflow applications offers non-session support and is ideal for translation, a
   <Col>
     Used at the start of entering the page to obtain information such as features, input parameter names, types, and default values.
 
-    ### Query
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-          User identifier, defined by the developer's rules, must be unique within the application.
-      </Property>
-    </Properties>
-
     ### Response
     - `user_input_form` (array[object]) User input form configuration
       - `text-input` (object) Text input control
@@ -697,10 +683,10 @@ Workflow applications offers non-session support and is ideal for translation, a
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_workflow.ja.mdx

@@ -610,22 +610,16 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
 <Row>
   <Col>
   このアプリケーションの基本情報を取得するために使用されます
-  ### Query
-    <Properties>
 
-   <Property name='user' type='string' key='user'>
-        ユーザー識別子、開発者のルールによって定義され、アプリケーション内で一意でなければなりません。
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) アプリケーションの名前
   - `description` (string) アプリケーションの説明
   - `tags` (array[string]) アプリケーションのタグ
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -656,14 +650,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   <Col>
     ページに入る際に、機能、入力パラメータ名、タイプ、デフォルト値などの情報を取得するために使用されます。
 
-    ### クエリ
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-          ユーザー識別子、開発者のルールで定義され、アプリケーション内で一意でなければなりません。
-      </Property>
-    </Properties>
-
     ### 応答
     - `user_input_form` (array[object]) ユーザー入力フォームの設定
       - `text-input` (object) テキスト入力コントロール
@@ -697,10 +683,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   </Col>
   <Col sticky>
 
-    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

web/app/components/develop/template/template_workflow.zh.mdx

@@ -602,22 +602,15 @@ Workflow 应用无会话支持，适合用于翻译/文章写作/总结 AI 等
 <Row>
   <Col>
   用于获取应用的基本信息
-  ### Query
-    <Properties>
-
-   <Property name='user' type='string' key='user'>
-      用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-    </Property>
-      </Properties>
   ### Response
   - `name` (string) 应用名称
   - `description` (string) 应用描述
   - `tags` (array[string]) 应用标签
   </Col>
   <Col>
-    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
+      curl -X GET '${props.appDetail.api_base_url}/info' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -648,14 +641,6 @@ Workflow 应用无会话支持，适合用于翻译/文章写作/总结 AI 等
   <Col>
     用于进入页面一开始，获取功能开关、输入参数名称、类型及默认值等使用。
 
-    ### Query
-
-    <Properties>
-      <Property name='user' type='string' key='user'>
-        用户标识，由开发者定义规则，需保证用户标识在应用内唯一。
-      </Property>
-    </Properties>
-
     ### Response
     - `user_input_form` (array[object]) 用户输入表单配置
       - `text-input` (object) 文本输入控件
@@ -689,10 +674,10 @@ Workflow 应用无会话支持，适合用于翻译/文章写作/总结 AI 等
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

web/package.json

@@ -50,6 +50,7 @@
     "copy-to-clipboard": "^3.3.3",
     "crypto-js": "^4.2.0",
     "dayjs": "^1.11.7",
+    "decimal.js": "^10.4.3",
     "echarts": "^5.5.1",
     "echarts-for-react": "^3.0.2",
     "elkjs": "^0.9.3",

web/service/refresh-token.ts

@@ -21,16 +21,23 @@ function waitUntilTokenRefreshed() {
   })
 }
 
+const isRefreshingSignAvailable = function (delta: number) {
+  const nowTime = new Date().getTime()
+  const lastTime = globalThis.localStorage.getItem('last_refresh_time') || '0'
+  return nowTime - parseInt(lastTime) <= delta
+}
+
 // only one request can send
-async function getNewAccessToken(): Promise<void> {
+async function getNewAccessToken(timeout: number): Promise<void> {
   try {
     const isRefreshingSign = globalThis.localStorage.getItem(LOCAL_STORAGE_KEY)
-    if ((isRefreshingSign && isRefreshingSign === '1') || isRefreshing) {
+    if ((isRefreshingSign && isRefreshingSign === '1' && isRefreshingSignAvailable(timeout)) || isRefreshing) {
       await waitUntilTokenRefreshed()
     }
     else {
       isRefreshing = true
       globalThis.localStorage.setItem(LOCAL_STORAGE_KEY, '1')
+      globalThis.localStorage.setItem('last_refresh_time', new Date().getTime().toString())
       globalThis.addEventListener('beforeunload', releaseRefreshLock)
       const refresh_token = globalThis.localStorage.getItem('refresh_token')
 
@@ -72,6 +79,7 @@ function releaseRefreshLock() {
   if (isRefreshing) {
     isRefreshing = false
     globalThis.localStorage.removeItem(LOCAL_STORAGE_KEY)
+    globalThis.localStorage.removeItem('last_refresh_time')
     globalThis.removeEventListener('beforeunload', releaseRefreshLock)
   }
 }
@@ -80,5 +88,5 @@ export async function refreshAccessTokenOrRelogin(timeout: number) {
   return Promise.race([new Promise<void>((resolve, reject) => setTimeout(() => {
     releaseRefreshLock()
     reject(new Error('request timeout'))
-  }, timeout)), getNewAccessToken()])
+  }, timeout)), getNewAccessToken(timeout)])
 }

web/yarn.lock

@@ -5568,6 +5568,11 @@ decimal.js@^10.4.2:
   resolved "https://registry.npmjs.org/decimal.js/-/decimal.js-10.4.3.tgz"
   integrity sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA==
 
+decimal.js@^10.4.3:
+  version "10.4.3"
+  resolved "https://registry.yarnpkg.com/decimal.js/-/decimal.js-10.4.3.tgz#1044092884d245d1b7f65725fa4ad4c6f781cc23"
+  integrity sha512-VBBaLc1MgL5XpzgIP7ny5Z6Nx3UrRkIViUkPUdtl9aya5amy3De1gsUUSB1g3+3sExYNjCAsAznmukyxCb1GRA==
+
 decode-named-character-reference@^1.0.0:
   version "1.0.2"
   resolved "https://registry.npmjs.org/decode-named-character-reference/-/decode-named-character-reference-1.0.2.tgz"