feat: support speech2text and tts for gpustack

.github/workflows/style.yml

@@ -82,33 +82,6 @@ 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

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

api/configs/packaging/__init__.py

@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
 
     CURRENT_VERSION: str = Field(
         description="Dify version",
-        default="0.15.1",
+        default="0.14.2",
     )
 
     COMMIT_SHA: str = Field(

api/controllers/console/app/audio.py

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

api/controllers/console/datasets/datasets.py

@@ -52,12 +52,12 @@ class DatasetListApi(Resource):
         # provider = request.args.get("provider", default="vendor")
         search = request.args.get("keyword", default=None, type=str)
         tag_ids = request.args.getlist("tag_ids")
-        include_all = request.args.get("include_all", default="false").lower() == "true"
+
         if ids:
             datasets, total = DatasetService.get_datasets_by_ids(ids, current_user.current_tenant_id)
         else:
             datasets, total = DatasetService.get_datasets(
-                page, limit, current_user.current_tenant_id, current_user, search, tag_ids, include_all
+                page, limit, current_user.current_tenant_id, current_user, search, tag_ids
             )
 
         # check embedding setting
@@ -640,7 +640,6 @@ class DatasetRetrievalSettingApi(Resource):
                 | VectorType.MYSCALE
                 | VectorType.ORACLE
                 | VectorType.ELASTICSEARCH
-                | VectorType.ELASTICSEARCH_JA
                 | VectorType.PGVECTOR
                 | VectorType.TIDB_ON_QDRANT
                 | VectorType.LINDORM
@@ -684,7 +683,6 @@ class DatasetRetrievalSettingMockApi(Resource):
                 | VectorType.MYSCALE
                 | VectorType.ORACLE
                 | VectorType.ELASTICSEARCH
-                | VectorType.ELASTICSEARCH_JA
                 | VectorType.COUCHBASE
                 | VectorType.PGVECTOR
                 | VectorType.LINDORM

api/controllers/console/datasets/datasets_document.py

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

api/controllers/console/datasets/datasets_segments.py

@@ -368,9 +368,9 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
             result = []
             for index, row in df.iterrows():
                 if document.doc_form == "qa_model":
-                    data = {"content": row.iloc[0], "answer": row.iloc[1]}
+                    data = {"content": row[0], "answer": row[1]}
                 else:
-                    data = {"content": row.iloc[0]}
+                    data = {"content": row[0]}
                 result.append(data)
             if len(result) == 0:
                 raise ValueError("The CSV file is empty.")

api/controllers/console/explore/conversation.py

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

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, upload_file
+from .dataset import dataset, document, hit_testing, segment

api/controllers/service_api/dataset/dataset.py

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

api/controllers/service_api/dataset/upload_file.py

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

api/controllers/service_api/wraps.py

@@ -1,5 +1,5 @@
 from collections.abc import Callable
-from datetime import UTC, datetime, timedelta
+from datetime import UTC, datetime
 from enum import Enum
 from functools import wraps
 from typing import Optional
@@ -8,8 +8,6 @@ from flask import current_app, request
 from flask_login import user_logged_in  # type: ignore
 from flask_restful import Resource  # type: ignore
 from pydantic import BaseModel
-from sqlalchemy import select, update
-from sqlalchemy.orm import Session
 from werkzeug.exceptions import Forbidden, Unauthorized
 
 from extensions.ext_database import db
@@ -176,7 +174,7 @@ def validate_dataset_token(view=None):
     return decorator
 
 
-def validate_and_get_api_token(scope: str | None = None):
+def validate_and_get_api_token(scope=None):
     """
     Validate and get API token.
     """
@@ -190,25 +188,20 @@ def validate_and_get_api_token(scope: str | None = None):
     if auth_scheme != "bearer":
         raise Unauthorized("Authorization scheme must be 'Bearer'")
 
-    current_time = datetime.now(UTC).replace(tzinfo=None)
-    cutoff_time = current_time - timedelta(minutes=1)
-    with Session(db.engine, expire_on_commit=False) as session:
-        update_stmt = (
-            update(ApiToken)
-            .where(ApiToken.token == auth_token, ApiToken.last_used_at < cutoff_time, ApiToken.type == scope)
-            .values(last_used_at=current_time)
-            .returning(ApiToken)
+    api_token = (
+        db.session.query(ApiToken)
+        .filter(
+            ApiToken.token == auth_token,
+            ApiToken.type == scope,
         )
-        result = session.execute(update_stmt)
-        api_token = result.scalar_one_or_none()
+        .first()
+    )
 
-        if not api_token:
-            stmt = select(ApiToken).where(ApiToken.token == auth_token, ApiToken.type == scope)
-            api_token = session.scalar(stmt)
-            if not api_token:
-                raise Unauthorized("Access token is invalid")
-        else:
-            session.commit()
+    if not api_token:
+        raise Unauthorized("Access token is invalid")
+
+    api_token.last_used_at = datetime.now(UTC).replace(tzinfo=None)
+    db.session.commit()
 
     return api_token
 
@@ -236,7 +229,7 @@ def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str]
             tenant_id=app_model.tenant_id,
             app_id=app_model.id,
             type="service_api",
-            is_anonymous=user_id == "DEFAULT-USER",
+            is_anonymous=True if user_id == "DEFAULT-USER" else False,
             session_id=user_id,
         )
         db.session.add(end_user)

api/controllers/web/conversation.py

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

api/core/indexing_runner.py

@@ -530,6 +530,7 @@ 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(
@@ -538,22 +539,11 @@ class IndexingRunner:
             )
             create_keyword_thread.start()
 
-        max_workers = 10
         if dataset.indexing_technique == "high_quality":
-            with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
+            with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
                 futures = []
-
-                # 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
+                for i in range(0, len(documents), chunk_size):
+                    chunk_documents = documents[i : i + chunk_size]
                     futures.append(
                         executor.submit(
                             self._process_chunk,

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

@@ -1,11 +1,13 @@
-import logging
+from concurrent.futures import ProcessPoolExecutor
+from os.path import abspath, dirname, join
 from threading import Lock
-from typing import Any
+from typing import Any, cast
 
-logger = logging.getLogger(__name__)
+from transformers import GPT2Tokenizer as TransformerGPT2Tokenizer  # type: ignore
 
 _tokenizer: Any = None
 _lock = Lock()
+_executor = ProcessPoolExecutor(max_workers=1)
 
 
 class GPT2Tokenizer:
@@ -15,37 +17,22 @@ class GPT2Tokenizer:
         use gpt2 tokenizer to get num tokens
         """
         _tokenizer = GPT2Tokenizer.get_encoder()
-        tokens = _tokenizer.encode(text)
+        tokens = _tokenizer.encode(text, verbose=False)
         return len(tokens)
 
     @staticmethod
     def get_num_tokens(text: str) -> int:
-        # Because this process needs more cpu resource, we turn this back before we find a better way to handle it.
-        #
-        # future = _executor.submit(GPT2Tokenizer._get_num_tokens_by_gpt2, text)
-        # result = future.result()
-        # return cast(int, result)
-        return GPT2Tokenizer._get_num_tokens_by_gpt2(text)
+        future = _executor.submit(GPT2Tokenizer._get_num_tokens_by_gpt2, text)
+        result = future.result()
+        return cast(int, result)
 
     @staticmethod
     def get_encoder() -> Any:
         global _tokenizer, _lock
         with _lock:
             if _tokenizer is None:
-                # Try to use tiktoken to get the tokenizer because it is faster
-                #
-                try:
-                    import tiktoken
-
-                    _tokenizer = tiktoken.get_encoding("gpt2")
-                except Exception:
-                    from os.path import abspath, dirname, join
-
-                    from transformers import GPT2Tokenizer as TransformerGPT2Tokenizer  # type: ignore
-
-                    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")
+                base_path = abspath(__file__)
+                gpt2_tokenizer_path = join(dirname(base_path), "gpt2")
+                _tokenizer = TransformerGPT2Tokenizer.from_pretrained(gpt2_tokenizer_path)
 
             return _tokenizer

api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-sonnet.yaml

@@ -7,7 +7,6 @@ features:
   - vision
   - tool-call
   - stream-tool-call
-  - document
 model_properties:
   mode: chat
   context_size: 200000

api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml

@@ -7,8 +7,6 @@
 - Qwen/Qwen2.5-Coder-7B-Instruct
 - Qwen/Qwen2-VL-72B-Instruct
 - Qwen/Qwen2-1.5B-Instruct
-- Qwen/Qwen2.5-72B-Instruct-128K
-- Vendor-A/Qwen/Qwen2.5-72B-Instruct
 - Pro/Qwen/Qwen2-VL-7B-Instruct
 - OpenGVLab/InternVL2-26B
 - Pro/OpenGVLab/InternVL2-8B

api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml

@@ -1,51 +0,0 @@
-model: Qwen/Qwen2.5-72B-Instruct-128K
-label:
-  en_US: Qwen/Qwen2.5-72B-Instruct-128K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 131072
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '4.13'
-  output: '4.13'
-  unit: '0.000001'
-  currency: RMB

api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml

@@ -1,51 +0,0 @@
-model: Vendor-A/Qwen/Qwen2.5-72B-Instruct
-label:
-  en_US: Vendor-A/Qwen/Qwen2.5-72B-Instruct
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32768
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-  - name: max_tokens
-    use_template: max_tokens
-    type: int
-    default: 512
-    min: 1
-    max: 4096
-    help:
-      zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: top_p
-    use_template: top_p
-  - name: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: int
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    required: false
-  - name: frequency_penalty
-    use_template: frequency_penalty
-  - name: response_format
-    label:
-      zh_Hans: 回复格式
-      en_US: Response Format
-    type: string
-    help:
-      zh_Hans: 指定模型必须输出的格式
-      en_US: specifying the format that the model must output
-    required: false
-    options:
-      - text
-      - json_object
-pricing:
-  input: '1.00'
-  output: '1.00'
-  unit: '0.000001'
-  currency: RMB

api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct.yaml

@@ -15,7 +15,7 @@ parameter_rules:
     type: int
     default: 512
     min: 1
-    max: 4096
+    max: 8192
     help:
       zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
       en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.

api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.5.yaml

@@ -1,37 +0,0 @@
-model: fishaudio/fish-speech-1.5
-model_type: tts
-model_properties:
-  default_voice: 'fishaudio/fish-speech-1.5:alex'
-  voices:
-    - mode: "fishaudio/fish-speech-1.5:alex"
-      name: "Alex（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:benjamin"
-      name: "Benjamin（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:charles"
-      name: "Charles（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:david"
-      name: "David（男声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:anna"
-      name: "Anna（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:bella"
-      name: "Bella（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:claire"
-      name: "Claire（女声）"
-      language: [ "zh-Hans", "en-US" ]
-    - mode: "fishaudio/fish-speech-1.5:diana"
-      name: "Diana（女声）"
-      language: [ "zh-Hans", "en-US" ]
-  audio_type: 'mp3'
-  max_workers: 5
-  # stream: false
-pricing:
-  input: '0.015'
-  output: '0'
-  unit: '0.001'
-  currency: RMB

api/core/model_runtime/schema_validators/common_validator.py

@@ -87,6 +87,6 @@ class CommonValidator:
             if value.lower() not in {"true", "false"}:
                 raise ValueError(f"Variable {credential_form_schema.variable} should be true or false")
 
-            value = value.lower() == "true"
+            value = True if value.lower() == "true" else False
 
         return value

api/core/ops/entities/config_entity.py

@@ -6,7 +6,6 @@ from pydantic import BaseModel, ValidationInfo, field_validator
 class TracingProviderEnum(Enum):
     LANGFUSE = "langfuse"
     LANGSMITH = "langsmith"
-    OPIK = "opik"
 
 
 class BaseTracingConfig(BaseModel):
@@ -57,36 +56,5 @@ class LangSmithConfig(BaseTracingConfig):
         return v
 
 
-class OpikConfig(BaseTracingConfig):
-    """
-    Model class for Opik tracing config.
-    """
-
-    api_key: str | None = None
-    project: str | None = None
-    workspace: str | None = None
-    url: str = "https://www.comet.com/opik/api/"
-
-    @field_validator("project")
-    @classmethod
-    def project_validator(cls, v, info: ValidationInfo):
-        if v is None or v == "":
-            v = "Default Project"
-
-        return v
-
-    @field_validator("url")
-    @classmethod
-    def url_validator(cls, v, info: ValidationInfo):
-        if v is None or v == "":
-            v = "https://www.comet.com/opik/api/"
-        if not v.startswith(("https://", "http://")):
-            raise ValueError("url must start with https:// or http://")
-        if not v.endswith("/api/"):
-            raise ValueError("url should ends with /api/")
-
-        return v
-
-
 OPS_FILE_PATH = "ops_trace/"
 OPS_TRACE_FAILED_KEY = "FAILED_OPS_TRACE"

api/core/ops/opik_trace/opik_trace.py

@@ -1,469 +0,0 @@
-import json
-import logging
-import os
-import uuid
-from datetime import datetime, timedelta
-from typing import Optional, cast
-
-from opik import Opik, Trace
-from opik.id_helpers import uuid4_to_uuid7
-
-from core.ops.base_trace_instance import BaseTraceInstance
-from core.ops.entities.config_entity import OpikConfig
-from core.ops.entities.trace_entity import (
-    BaseTraceInfo,
-    DatasetRetrievalTraceInfo,
-    GenerateNameTraceInfo,
-    MessageTraceInfo,
-    ModerationTraceInfo,
-    SuggestedQuestionTraceInfo,
-    ToolTraceInfo,
-    TraceTaskName,
-    WorkflowTraceInfo,
-)
-from extensions.ext_database import db
-from models.model import EndUser, MessageFile
-from models.workflow import WorkflowNodeExecution
-
-logger = logging.getLogger(__name__)
-
-
-def wrap_dict(key_name, data):
-    """Make sure that the input data is a dict"""
-    if not isinstance(data, dict):
-        return {key_name: data}
-
-    return data
-
-
-def wrap_metadata(metadata, **kwargs):
-    """Add common metatada to all Traces and Spans"""
-    metadata["created_from"] = "dify"
-
-    metadata.update(kwargs)
-
-    return metadata
-
-
-def prepare_opik_uuid(user_datetime: Optional[datetime], user_uuid: Optional[str]):
-    """Opik needs UUIDv7 while Dify uses UUIDv4 for identifier of most
-    messages and objects. The type-hints of BaseTraceInfo indicates that
-    objects start_time and message_id could be null which means we cannot map
-    it to a UUIDv7. Given that we have no way to identify that object
-    uniquely, generate a new random one UUIDv7 in that case.
-    """
-
-    if user_datetime is None:
-        user_datetime = datetime.now()
-
-    if user_uuid is None:
-        user_uuid = str(uuid.uuid4())
-
-    return uuid4_to_uuid7(user_datetime, user_uuid)
-
-
-class OpikDataTrace(BaseTraceInstance):
-    def __init__(
-        self,
-        opik_config: OpikConfig,
-    ):
-        super().__init__(opik_config)
-        self.opik_client = Opik(
-            project_name=opik_config.project,
-            workspace=opik_config.workspace,
-            host=opik_config.url,
-            api_key=opik_config.api_key,
-        )
-        self.project = opik_config.project
-        self.file_base_url = os.getenv("FILES_URL", "http://127.0.0.1:5001")
-
-    def trace(self, trace_info: BaseTraceInfo):
-        if isinstance(trace_info, WorkflowTraceInfo):
-            self.workflow_trace(trace_info)
-        if isinstance(trace_info, MessageTraceInfo):
-            self.message_trace(trace_info)
-        if isinstance(trace_info, ModerationTraceInfo):
-            self.moderation_trace(trace_info)
-        if isinstance(trace_info, SuggestedQuestionTraceInfo):
-            self.suggested_question_trace(trace_info)
-        if isinstance(trace_info, DatasetRetrievalTraceInfo):
-            self.dataset_retrieval_trace(trace_info)
-        if isinstance(trace_info, ToolTraceInfo):
-            self.tool_trace(trace_info)
-        if isinstance(trace_info, GenerateNameTraceInfo):
-            self.generate_name_trace(trace_info)
-
-    def workflow_trace(self, trace_info: WorkflowTraceInfo):
-        dify_trace_id = trace_info.workflow_run_id
-        opik_trace_id = prepare_opik_uuid(trace_info.start_time, dify_trace_id)
-        workflow_metadata = wrap_metadata(
-            trace_info.metadata, message_id=trace_info.message_id, workflow_app_log_id=trace_info.workflow_app_log_id
-        )
-        root_span_id = None
-
-        if trace_info.message_id:
-            dify_trace_id = trace_info.message_id
-            opik_trace_id = prepare_opik_uuid(trace_info.start_time, dify_trace_id)
-
-            trace_data = {
-                "id": opik_trace_id,
-                "name": TraceTaskName.MESSAGE_TRACE.value,
-                "start_time": trace_info.start_time,
-                "end_time": trace_info.end_time,
-                "metadata": workflow_metadata,
-                "input": wrap_dict("input", trace_info.workflow_run_inputs),
-                "output": wrap_dict("output", trace_info.workflow_run_outputs),
-                "tags": ["message", "workflow"],
-                "project_name": self.project,
-            }
-            self.add_trace(trace_data)
-
-            root_span_id = prepare_opik_uuid(trace_info.start_time, trace_info.workflow_run_id)
-            span_data = {
-                "id": root_span_id,
-                "parent_span_id": None,
-                "trace_id": opik_trace_id,
-                "name": TraceTaskName.WORKFLOW_TRACE.value,
-                "input": wrap_dict("input", trace_info.workflow_run_inputs),
-                "output": wrap_dict("output", trace_info.workflow_run_outputs),
-                "start_time": trace_info.start_time,
-                "end_time": trace_info.end_time,
-                "metadata": workflow_metadata,
-                "tags": ["workflow"],
-                "project_name": self.project,
-            }
-            self.add_span(span_data)
-        else:
-            trace_data = {
-                "id": opik_trace_id,
-                "name": TraceTaskName.MESSAGE_TRACE.value,
-                "start_time": trace_info.start_time,
-                "end_time": trace_info.end_time,
-                "metadata": workflow_metadata,
-                "input": wrap_dict("input", trace_info.workflow_run_inputs),
-                "output": wrap_dict("output", trace_info.workflow_run_outputs),
-                "tags": ["workflow"],
-                "project_name": self.project,
-            }
-            self.add_trace(trace_data)
-
-        # through workflow_run_id get all_nodes_execution
-        workflow_nodes_execution_id_records = (
-            db.session.query(WorkflowNodeExecution.id)
-            .filter(WorkflowNodeExecution.workflow_run_id == trace_info.workflow_run_id)
-            .all()
-        )
-
-        for node_execution_id_record in workflow_nodes_execution_id_records:
-            node_execution = (
-                db.session.query(
-                    WorkflowNodeExecution.id,
-                    WorkflowNodeExecution.tenant_id,
-                    WorkflowNodeExecution.app_id,
-                    WorkflowNodeExecution.title,
-                    WorkflowNodeExecution.node_type,
-                    WorkflowNodeExecution.status,
-                    WorkflowNodeExecution.inputs,
-                    WorkflowNodeExecution.outputs,
-                    WorkflowNodeExecution.created_at,
-                    WorkflowNodeExecution.elapsed_time,
-                    WorkflowNodeExecution.process_data,
-                    WorkflowNodeExecution.execution_metadata,
-                )
-                .filter(WorkflowNodeExecution.id == node_execution_id_record.id)
-                .first()
-            )
-
-            if not node_execution:
-                continue
-
-            node_execution_id = node_execution.id
-            tenant_id = node_execution.tenant_id
-            app_id = node_execution.app_id
-            node_name = node_execution.title
-            node_type = node_execution.node_type
-            status = node_execution.status
-            if node_type == "llm":
-                inputs = (
-                    json.loads(node_execution.process_data).get("prompts", {}) if node_execution.process_data else {}
-                )
-            else:
-                inputs = json.loads(node_execution.inputs) if node_execution.inputs else {}
-            outputs = json.loads(node_execution.outputs) if node_execution.outputs else {}
-            created_at = node_execution.created_at or datetime.now()
-            elapsed_time = node_execution.elapsed_time
-            finished_at = created_at + timedelta(seconds=elapsed_time)
-
-            execution_metadata = (
-                json.loads(node_execution.execution_metadata) if node_execution.execution_metadata else {}
-            )
-            metadata = execution_metadata.copy()
-            metadata.update(
-                {
-                    "workflow_run_id": trace_info.workflow_run_id,
-                    "node_execution_id": node_execution_id,
-                    "tenant_id": tenant_id,
-                    "app_id": app_id,
-                    "app_name": node_name,
-                    "node_type": node_type,
-                    "status": status,
-                }
-            )
-
-            process_data = json.loads(node_execution.process_data) if node_execution.process_data else {}
-
-            provider = None
-            model = None
-            total_tokens = 0
-            completion_tokens = 0
-            prompt_tokens = 0
-
-            if process_data and process_data.get("model_mode") == "chat":
-                run_type = "llm"
-                provider = process_data.get("model_provider", None)
-                model = process_data.get("model_name", "")
-                metadata.update(
-                    {
-                        "ls_provider": provider,
-                        "ls_model_name": model,
-                    }
-                )
-
-                try:
-                    if outputs.get("usage"):
-                        total_tokens = outputs["usage"].get("total_tokens", 0)
-                        prompt_tokens = outputs["usage"].get("prompt_tokens", 0)
-                        completion_tokens = outputs["usage"].get("completion_tokens", 0)
-                except Exception:
-                    logger.error("Failed to extract usage", exc_info=True)
-
-            else:
-                run_type = "tool"
-
-            parent_span_id = trace_info.workflow_app_log_id or trace_info.workflow_run_id
-
-            if not total_tokens:
-                total_tokens = execution_metadata.get("total_tokens", 0)
-
-            span_data = {
-                "trace_id": opik_trace_id,
-                "id": prepare_opik_uuid(created_at, node_execution_id),
-                "parent_span_id": prepare_opik_uuid(trace_info.start_time, parent_span_id),
-                "name": node_type,
-                "type": run_type,
-                "start_time": created_at,
-                "end_time": finished_at,
-                "metadata": wrap_metadata(metadata),
-                "input": wrap_dict("input", inputs),
-                "output": wrap_dict("output", outputs),
-                "tags": ["node_execution"],
-                "project_name": self.project,
-                "usage": {
-                    "total_tokens": total_tokens,
-                    "completion_tokens": completion_tokens,
-                    "prompt_tokens": prompt_tokens,
-                },
-                "model": model,
-                "provider": provider,
-            }
-
-            self.add_span(span_data)
-
-    def message_trace(self, trace_info: MessageTraceInfo):
-        # get message file data
-        file_list = cast(list[str], trace_info.file_list) or []
-        message_file_data: Optional[MessageFile] = trace_info.message_file_data
-
-        if message_file_data is not None:
-            file_url = f"{self.file_base_url}/{message_file_data.url}" if message_file_data else ""
-            file_list.append(file_url)
-
-        message_data = trace_info.message_data
-        if message_data is None:
-            return
-
-        metadata = trace_info.metadata
-        message_id = trace_info.message_id
-
-        user_id = message_data.from_account_id
-        metadata["user_id"] = user_id
-        metadata["file_list"] = file_list
-
-        if message_data.from_end_user_id:
-            end_user_data: Optional[EndUser] = (
-                db.session.query(EndUser).filter(EndUser.id == message_data.from_end_user_id).first()
-            )
-            if end_user_data is not None:
-                end_user_id = end_user_data.session_id
-                metadata["end_user_id"] = end_user_id
-
-        trace_data = {
-            "id": prepare_opik_uuid(trace_info.start_time, message_id),
-            "name": TraceTaskName.MESSAGE_TRACE.value,
-            "start_time": trace_info.start_time,
-            "end_time": trace_info.end_time,
-            "metadata": wrap_metadata(metadata),
-            "input": trace_info.inputs,
-            "output": message_data.answer,
-            "tags": ["message", str(trace_info.conversation_mode)],
-            "project_name": self.project,
-        }
-        trace = self.add_trace(trace_data)
-
-        span_data = {
-            "trace_id": trace.id,
-            "name": "llm",
-            "type": "llm",
-            "start_time": trace_info.start_time,
-            "end_time": trace_info.end_time,
-            "metadata": wrap_metadata(metadata),
-            "input": {"input": trace_info.inputs},
-            "output": {"output": message_data.answer},
-            "tags": ["llm", str(trace_info.conversation_mode)],
-            "usage": {
-                "completion_tokens": trace_info.answer_tokens,
-                "prompt_tokens": trace_info.message_tokens,
-                "total_tokens": trace_info.total_tokens,
-            },
-            "project_name": self.project,
-        }
-        self.add_span(span_data)
-
-    def moderation_trace(self, trace_info: ModerationTraceInfo):
-        if trace_info.message_data is None:
-            return
-
-        start_time = trace_info.start_time or trace_info.message_data.created_at
-
-        span_data = {
-            "trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
-            "name": TraceTaskName.MODERATION_TRACE.value,
-            "type": "tool",
-            "start_time": start_time,
-            "end_time": trace_info.end_time or trace_info.message_data.updated_at,
-            "metadata": wrap_metadata(trace_info.metadata),
-            "input": wrap_dict("input", trace_info.inputs),
-            "output": {
-                "action": trace_info.action,
-                "flagged": trace_info.flagged,
-                "preset_response": trace_info.preset_response,
-                "inputs": trace_info.inputs,
-            },
-            "tags": ["moderation"],
-        }
-
-        self.add_span(span_data)
-
-    def suggested_question_trace(self, trace_info: SuggestedQuestionTraceInfo):
-        message_data = trace_info.message_data
-        if message_data is None:
-            return
-
-        start_time = trace_info.start_time or message_data.created_at
-
-        span_data = {
-            "trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
-            "name": TraceTaskName.SUGGESTED_QUESTION_TRACE.value,
-            "type": "tool",
-            "start_time": start_time,
-            "end_time": trace_info.end_time or message_data.updated_at,
-            "metadata": wrap_metadata(trace_info.metadata),
-            "input": wrap_dict("input", trace_info.inputs),
-            "output": wrap_dict("output", trace_info.suggested_question),
-            "tags": ["suggested_question"],
-        }
-
-        self.add_span(span_data)
-
-    def dataset_retrieval_trace(self, trace_info: DatasetRetrievalTraceInfo):
-        if trace_info.message_data is None:
-            return
-
-        start_time = trace_info.start_time or trace_info.message_data.created_at
-
-        span_data = {
-            "trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
-            "name": TraceTaskName.DATASET_RETRIEVAL_TRACE.value,
-            "type": "tool",
-            "start_time": start_time,
-            "end_time": trace_info.end_time or trace_info.message_data.updated_at,
-            "metadata": wrap_metadata(trace_info.metadata),
-            "input": wrap_dict("input", trace_info.inputs),
-            "output": {"documents": trace_info.documents},
-            "tags": ["dataset_retrieval"],
-        }
-
-        self.add_span(span_data)
-
-    def tool_trace(self, trace_info: ToolTraceInfo):
-        span_data = {
-            "trace_id": prepare_opik_uuid(trace_info.start_time, trace_info.message_id),
-            "name": trace_info.tool_name,
-            "type": "tool",
-            "start_time": trace_info.start_time,
-            "end_time": trace_info.end_time,
-            "metadata": wrap_metadata(trace_info.metadata),
-            "input": wrap_dict("input", trace_info.tool_inputs),
-            "output": wrap_dict("output", trace_info.tool_outputs),
-            "tags": ["tool", trace_info.tool_name],
-        }
-
-        self.add_span(span_data)
-
-    def generate_name_trace(self, trace_info: GenerateNameTraceInfo):
-        trace_data = {
-            "id": prepare_opik_uuid(trace_info.start_time, trace_info.message_id),
-            "name": TraceTaskName.GENERATE_NAME_TRACE.value,
-            "start_time": trace_info.start_time,
-            "end_time": trace_info.end_time,
-            "metadata": wrap_metadata(trace_info.metadata),
-            "input": trace_info.inputs,
-            "output": trace_info.outputs,
-            "tags": ["generate_name"],
-            "project_name": self.project,
-        }
-
-        trace = self.add_trace(trace_data)
-
-        span_data = {
-            "trace_id": trace.id,
-            "name": TraceTaskName.GENERATE_NAME_TRACE.value,
-            "start_time": trace_info.start_time,
-            "end_time": trace_info.end_time,
-            "metadata": wrap_metadata(trace_info.metadata),
-            "input": wrap_dict("input", trace_info.inputs),
-            "output": wrap_dict("output", trace_info.outputs),
-            "tags": ["generate_name"],
-        }
-
-        self.add_span(span_data)
-
-    def add_trace(self, opik_trace_data: dict) -> Trace:
-        try:
-            trace = self.opik_client.trace(**opik_trace_data)
-            logger.debug("Opik Trace created successfully")
-            return trace
-        except Exception as e:
-            raise ValueError(f"Opik Failed to create trace: {str(e)}")
-
-    def add_span(self, opik_span_data: dict):
-        try:
-            self.opik_client.span(**opik_span_data)
-            logger.debug("Opik Span created successfully")
-        except Exception as e:
-            raise ValueError(f"Opik Failed to create span: {str(e)}")
-
-    def api_check(self):
-        try:
-            self.opik_client.auth_check()
-            return True
-        except Exception as e:
-            logger.info(f"Opik API check failed: {str(e)}", exc_info=True)
-            raise ValueError(f"Opik API check failed: {str(e)}")
-
-    def get_project_url(self):
-        try:
-            return self.opik_client.get_project_url(project_name=self.project)
-        except Exception as e:
-            logger.info(f"Opik get run url failed: {str(e)}", exc_info=True)
-            raise ValueError(f"Opik get run url failed: {str(e)}")

api/core/ops/ops_trace_manager.py

@@ -17,7 +17,6 @@ from core.ops.entities.config_entity import (
     OPS_FILE_PATH,
     LangfuseConfig,
     LangSmithConfig,
-    OpikConfig,
     TracingProviderEnum,
 )
 from core.ops.entities.trace_entity import (
@@ -33,7 +32,6 @@ from core.ops.entities.trace_entity import (
 )
 from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace
 from core.ops.langsmith_trace.langsmith_trace import LangSmithDataTrace
-from core.ops.opik_trace.opik_trace import OpikDataTrace
 from core.ops.utils import get_message_data
 from extensions.ext_database import db
 from extensions.ext_storage import storage
@@ -54,12 +52,6 @@ provider_config_map: dict[str, dict[str, Any]] = {
         "other_keys": ["project", "endpoint"],
         "trace_instance": LangSmithDataTrace,
     },
-    TracingProviderEnum.OPIK.value: {
-        "config_class": OpikConfig,
-        "secret_keys": ["api_key"],
-        "other_keys": ["project", "url", "workspace"],
-        "trace_instance": OpikDataTrace,
-    },
 }
 
 

api/core/rag/datasource/vdb/elasticsearch/elasticsearch_ja_vector.py

@@ -1,104 +0,0 @@
-import json
-import logging
-from typing import Any, Optional
-
-from flask import current_app
-
-from core.rag.datasource.vdb.elasticsearch.elasticsearch_vector import (
-    ElasticSearchConfig,
-    ElasticSearchVector,
-    ElasticSearchVectorFactory,
-)
-from core.rag.datasource.vdb.field import Field
-from core.rag.datasource.vdb.vector_type import VectorType
-from core.rag.embedding.embedding_base import Embeddings
-from extensions.ext_redis import redis_client
-from models.dataset import Dataset
-
-logger = logging.getLogger(__name__)
-
-
-class ElasticSearchJaVector(ElasticSearchVector):
-    def create_collection(
-        self,
-        embeddings: list[list[float]],
-        metadatas: Optional[list[dict[Any, Any]]] = None,
-        index_params: Optional[dict] = None,
-    ):
-        lock_name = f"vector_indexing_lock_{self._collection_name}"
-        with redis_client.lock(lock_name, timeout=20):
-            collection_exist_cache_key = f"vector_indexing_{self._collection_name}"
-            if redis_client.get(collection_exist_cache_key):
-                logger.info(f"Collection {self._collection_name} already exists.")
-                return
-
-            if not self._client.indices.exists(index=self._collection_name):
-                dim = len(embeddings[0])
-                settings = {
-                    "analysis": {
-                        "analyzer": {
-                            "ja_analyzer": {
-                                "type": "custom",
-                                "char_filter": [
-                                    "icu_normalizer",
-                                    "kuromoji_iteration_mark",
-                                ],
-                                "tokenizer": "kuromoji_tokenizer",
-                                "filter": [
-                                    "kuromoji_baseform",
-                                    "kuromoji_part_of_speech",
-                                    "ja_stop",
-                                    "kuromoji_number",
-                                    "kuromoji_stemmer",
-                                ],
-                            }
-                        }
-                    }
-                }
-                mappings = {
-                    "properties": {
-                        Field.CONTENT_KEY.value: {
-                            "type": "text",
-                            "analyzer": "ja_analyzer",
-                            "search_analyzer": "ja_analyzer",
-                        },
-                        Field.VECTOR.value: {  # Make sure the dimension is correct here
-                            "type": "dense_vector",
-                            "dims": dim,
-                            "index": True,
-                            "similarity": "cosine",
-                        },
-                        Field.METADATA_KEY.value: {
-                            "type": "object",
-                            "properties": {
-                                "doc_id": {"type": "keyword"}  # Map doc_id to keyword type
-                            },
-                        },
-                    }
-                }
-                self._client.indices.create(index=self._collection_name, settings=settings, mappings=mappings)
-
-            redis_client.set(collection_exist_cache_key, 1, ex=3600)
-
-
-class ElasticSearchJaVectorFactory(ElasticSearchVectorFactory):
-    def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> ElasticSearchJaVector:
-        if dataset.index_struct_dict:
-            class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
-            collection_name = class_prefix
-        else:
-            dataset_id = dataset.id
-            collection_name = Dataset.gen_collection_name_by_id(dataset_id)
-            dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.ELASTICSEARCH, collection_name))
-
-        config = current_app.config
-        return ElasticSearchJaVector(
-            index_name=collection_name,
-            config=ElasticSearchConfig(
-                host=config.get("ELASTICSEARCH_HOST", "localhost"),
-                port=config.get("ELASTICSEARCH_PORT", 9200),
-                username=config.get("ELASTICSEARCH_USERNAME", ""),
-                password=config.get("ELASTICSEARCH_PASSWORD", ""),
-            ),
-            attributes=[],
-        )

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

@@ -6,8 +6,6 @@ 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/lindorm/lindorm_vector.py

@@ -258,7 +258,7 @@ class LindormVectorStore(BaseVector):
             hnsw_ef_construction = kwargs.pop("hnsw_ef_construction", 500)
             ivfpq_m = kwargs.pop("ivfpq_m", dimension)
             nlist = kwargs.pop("nlist", 1000)
-            centroids_use_hnsw = kwargs.pop("centroids_use_hnsw", nlist >= 5000)
+            centroids_use_hnsw = kwargs.pop("centroids_use_hnsw", True if nlist >= 5000 else False)
             centroids_hnsw_m = kwargs.pop("centroids_hnsw_m", 24)
             centroids_hnsw_ef_construct = kwargs.pop("centroids_hnsw_ef_construct", 500)
             centroids_hnsw_ef_search = kwargs.pop("centroids_hnsw_ef_search", 100)
@@ -305,7 +305,7 @@ def default_text_mapping(dimension: int, method_name: str, **kwargs: Any) -> dic
     if method_name == "ivfpq":
         ivfpq_m = kwargs["ivfpq_m"]
         nlist = kwargs["nlist"]
-        centroids_use_hnsw = nlist > 10000
+        centroids_use_hnsw = True if nlist > 10000 else False
         centroids_hnsw_m = 24
         centroids_hnsw_ef_construct = 500
         centroids_hnsw_ef_search = 100

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

@@ -2,7 +2,6 @@ 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
@@ -21,25 +20,16 @@ logger = logging.getLogger(__name__)
 
 
 class MilvusConfig(BaseModel):
-    """
-    Configuration class for Milvus connection.
-    """
-
-    uri: str  # Milvus server URI
-    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
+    uri: str
+    token: Optional[str] = None
+    user: str
+    password: str
+    batch_size: int = 100
+    database: str = "default"
 
     @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"):
@@ -49,9 +39,6 @@ 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,
@@ -62,57 +49,26 @@ 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"  # Consistency level for Milvus operations
-        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
+        self._consistency_level = "Session"
+        self._fields: list[str] = []
 
     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,
@@ -120,11 +76,12 @@ 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):
-            # Insert into the collection.
             batch_insert_list = insert_dict_list[i : i + 1000]
+            # Insert into the collection.
             try:
                 ids = self._client.insert(collection_name=self._collection_name, data=batch_insert_list)
                 pks.extend(ids)
@@ -134,9 +91,6 @@ 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"]
         )
@@ -146,18 +100,12 @@ 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"]
@@ -167,16 +115,10 @@ 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
 
@@ -186,80 +128,32 @@ 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]:
-        """
-        Search for documents by vector similarity.
-        """
+        # Set search parameters.
         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],
         )
-
-        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),
-        )
+        # Organize results.
+        docs = []
+        for result in results[0]:
+            metadata = result["entity"].get(Field.METADATA_KEY.value)
+            metadata["score"] = result["distance"]
+            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]:
-        """
-        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),
-        )
+        # milvus/zilliz doesn't support bm25 search
+        return []
 
     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)
@@ -267,7 +161,7 @@ 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, Function, FunctionType  # type: ignore
+                from pymilvus import CollectionSchema, DataType, FieldSchema  # type: ignore
                 from pymilvus.orm.types import infer_dtype_bydata  # type: ignore
 
                 # Determine embedding dim
@@ -276,36 +170,16 @@ class MilvusVector(BaseVector):
                 if metadatas:
                     fields.append(FieldSchema(Field.METADATA_KEY.value, DataType.JSON, max_length=65_535))
 
-                # Create the text field, enable_analyzer will be set True to support milvus automatically
-                # 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 text field
+                fields.append(FieldSchema(Field.CONTENT_KEY.value, DataType.VARCHAR, max_length=65_535))
                 # 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
@@ -315,15 +189,10 @@ 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=self._collection_name,
+                    collection_name=collection_name,
                     schema=schema,
                     index_params=index_params_obj,
                     consistency_level=self._consistency_level,
@@ -331,22 +200,12 @@ 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
@@ -363,6 +222,5 @@ 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/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py

@@ -409,27 +409,27 @@ class TidbOnQdrantVectorFactory(AbstractVectorFactory):
             db.session.query(TidbAuthBinding).filter(TidbAuthBinding.tenant_id == dataset.tenant_id).one_or_none()
         )
         if not tidb_auth_binding:
-            with redis_client.lock("create_tidb_serverless_cluster_lock", timeout=900):
-                tidb_auth_binding = (
-                    db.session.query(TidbAuthBinding)
-                    .filter(TidbAuthBinding.tenant_id == dataset.tenant_id)
-                    .one_or_none()
-                )
-                if tidb_auth_binding:
-                    TIDB_ON_QDRANT_API_KEY = f"{tidb_auth_binding.account}:{tidb_auth_binding.password}"
-
-                else:
-                    idle_tidb_auth_binding = (
+            idle_tidb_auth_binding = (
+                db.session.query(TidbAuthBinding)
+                .filter(TidbAuthBinding.active == False, TidbAuthBinding.status == "ACTIVE")
+                .limit(1)
+                .one_or_none()
+            )
+            if idle_tidb_auth_binding:
+                idle_tidb_auth_binding.active = True
+                idle_tidb_auth_binding.tenant_id = dataset.tenant_id
+                db.session.commit()
+                TIDB_ON_QDRANT_API_KEY = f"{idle_tidb_auth_binding.account}:{idle_tidb_auth_binding.password}"
+            else:
+                with redis_client.lock("create_tidb_serverless_cluster_lock", timeout=900):
+                    tidb_auth_binding = (
                         db.session.query(TidbAuthBinding)
-                        .filter(TidbAuthBinding.active == False, TidbAuthBinding.status == "ACTIVE")
-                        .limit(1)
+                        .filter(TidbAuthBinding.tenant_id == dataset.tenant_id)
                         .one_or_none()
                     )
-                    if idle_tidb_auth_binding:
-                        idle_tidb_auth_binding.active = True
-                        idle_tidb_auth_binding.tenant_id = dataset.tenant_id
-                        db.session.commit()
-                        TIDB_ON_QDRANT_API_KEY = f"{idle_tidb_auth_binding.account}:{idle_tidb_auth_binding.password}"
+                    if tidb_auth_binding:
+                        TIDB_ON_QDRANT_API_KEY = f"{tidb_auth_binding.account}:{tidb_auth_binding.password}"
+
                     else:
                         new_cluster = TidbService.create_tidb_serverless_cluster(
                             dify_config.TIDB_PROJECT_ID or "",
@@ -451,6 +451,7 @@ class TidbOnQdrantVectorFactory(AbstractVectorFactory):
                         db.session.add(new_tidb_auth_binding)
                         db.session.commit()
                         TIDB_ON_QDRANT_API_KEY = f"{new_tidb_auth_binding.account}:{new_tidb_auth_binding.password}"
+
         else:
             TIDB_ON_QDRANT_API_KEY = f"{tidb_auth_binding.account}:{tidb_auth_binding.password}"
 

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

@@ -90,12 +90,6 @@ class Vector:
                 from core.rag.datasource.vdb.elasticsearch.elasticsearch_vector import ElasticSearchVectorFactory
 
                 return ElasticSearchVectorFactory
-            case VectorType.ELASTICSEARCH_JA:
-                from core.rag.datasource.vdb.elasticsearch.elasticsearch_ja_vector import (
-                    ElasticSearchJaVectorFactory,
-                )
-
-                return ElasticSearchJaVectorFactory
             case VectorType.TIDB_VECTOR:
                 from core.rag.datasource.vdb.tidb_vector.tidb_vector import TiDBVectorFactory
 

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

@@ -16,7 +16,6 @@ class VectorType(StrEnum):
     TENCENT = "tencent"
     ORACLE = "oracle"
     ELASTICSEARCH = "elasticsearch"
-    ELASTICSEARCH_JA = "elasticsearch-ja"
     LINDORM = "lindorm"
     COUCHBASE = "couchbase"
     BAIDU = "baidu"

api/core/rag/extractor/pdf_extractor.py

@@ -23,6 +23,7 @@ class PdfExtractor(BaseExtractor):
         self._file_cache_key = file_cache_key
 
     def extract(self) -> list[Document]:
+        plaintext_file_key = ""
         plaintext_file_exists = False
         if self._file_cache_key:
             try:
@@ -38,8 +39,8 @@ class PdfExtractor(BaseExtractor):
         text = "\n\n".join(text_list)
 
         # save plaintext file for caching
-        if not plaintext_file_exists and self._file_cache_key:
-            storage.save(self._file_cache_key, text.encode("utf-8"))
+        if not plaintext_file_exists and plaintext_file_key:
+            storage.save(plaintext_file_key, text.encode("utf-8"))
 
         return documents
 

api/core/rag/index_processor/processor/qa_index_processor.py

@@ -112,7 +112,7 @@ class QAIndexProcessor(BaseIndexProcessor):
             df = pd.read_csv(file)
             text_docs = []
             for index, row in df.iterrows():
-                data = Document(page_content=row.iloc[0], metadata={"answer": row.iloc[1]})
+                data = Document(page_content=row[0], metadata={"answer": row[1]})
                 text_docs.append(data)
             if len(text_docs) == 0:
                 raise ValueError("The CSV file is empty.")

api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py

@@ -14,38 +14,14 @@ class BedrockRetrieveTool(BuiltinTool):
     topk: int = None
 
     def _bedrock_retrieve(
-        self,
-        query_input: str,
-        knowledge_base_id: str,
-        num_results: int,
-        search_type: str,
-        rerank_model_id: str,
-        metadata_filter: Optional[dict] = None,
+        self, query_input: str, knowledge_base_id: str, num_results: int, metadata_filter: Optional[dict] = None
     ):
         try:
             retrieval_query = {"text": query_input}
 
-            if search_type not in ["HYBRID", "SEMANTIC"]:
-                raise RuntimeException("search_type should be HYBRID or SEMANTIC")
+            retrieval_configuration = {"vectorSearchConfiguration": {"numberOfResults": num_results}}
 
-            retrieval_configuration = {
-                "vectorSearchConfiguration": {"numberOfResults": num_results, "overrideSearchType": search_type}
-            }
-
-            if rerank_model_id != "default":
-                model_for_rerank_arn = f"arn:aws:bedrock:us-west-2::foundation-model/{rerank_model_id}"
-                rerankingConfiguration = {
-                    "bedrockRerankingConfiguration": {
-                        "numberOfRerankedResults": num_results,
-                        "modelConfiguration": {"modelArn": model_for_rerank_arn},
-                    },
-                    "type": "BEDROCK_RERANKING_MODEL",
-                }
-
-                retrieval_configuration["vectorSearchConfiguration"]["rerankingConfiguration"] = rerankingConfiguration
-                retrieval_configuration["vectorSearchConfiguration"]["numberOfResults"] = num_results * 5
-
-            # 如果有元数据过滤条件，则添加到检索配置中
+            # Add metadata filter to retrieval configuration if present
             if metadata_filter:
                 retrieval_configuration["vectorSearchConfiguration"]["filter"] = metadata_filter
 
@@ -101,20 +77,15 @@ class BedrockRetrieveTool(BuiltinTool):
             if not query:
                 return self.create_text_message("Please input query")
 
-            # 获取元数据过滤条件（如果存在）
+            # Get metadata filter conditions (if they exist)
             metadata_filter_str = tool_parameters.get("metadata_filter")
             metadata_filter = json.loads(metadata_filter_str) if metadata_filter_str else None
 
-            search_type = tool_parameters.get("search_type")
-            rerank_model_id = tool_parameters.get("rerank_model_id")
-
             line = 4
             retrieved_docs = self._bedrock_retrieve(
                 query_input=query,
                 knowledge_base_id=self.knowledge_base_id,
                 num_results=self.topk,
-                search_type=search_type,
-                rerank_model_id=rerank_model_id,
                 metadata_filter=metadata_filter,
             )
 
@@ -138,7 +109,7 @@ class BedrockRetrieveTool(BuiltinTool):
         if not parameters.get("query"):
             raise ValueError("query is required")
 
-        # 可选：可以验证元数据过滤条件是否为有效的 JSON 字符串（如果提供）
+        # Optional: Validate if metadata filter is a valid JSON string (if provided)
         metadata_filter_str = parameters.get("metadata_filter")
         if metadata_filter_str and not isinstance(json.loads(metadata_filter_str), dict):
             raise ValueError("metadata_filter must be a valid JSON object")

api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml

@@ -59,57 +59,6 @@ parameters:
     max: 10
     default: 5
 
-  - name: search_type
-    type: select
-    required: false
-    label:
-      en_US: search type
-      zh_Hans: 搜索类型
-      pt_BR: search type
-    human_description:
-      en_US: search type
-      zh_Hans: 搜索类型
-      pt_BR: search type
-    llm_description: search type
-    default: SEMANTIC
-    options:
-      - value: SEMANTIC
-        label:
-          en_US: SEMANTIC
-          zh_Hans: 语义搜索
-      - value: HYBRID
-        label:
-          en_US: HYBRID
-          zh_Hans: 混合搜索
-    form: form
-
-  - name: rerank_model_id
-    type: select
-    required: false
-    label:
-      en_US: rerank model id
-      zh_Hans: 重拍模型ID
-      pt_BR: rerank model id
-    human_description:
-      en_US: rerank model id
-      zh_Hans: 重拍模型ID
-      pt_BR: rerank model id
-    llm_description: rerank model id
-    options:
-      - value: default
-        label:
-          en_US: default
-          zh_Hans: 默认
-      - value: cohere.rerank-v3-5:0
-        label:
-          en_US: cohere.rerank-v3-5:0
-          zh_Hans: cohere.rerank-v3-5:0
-      - value: amazon.rerank-v1:0
-        label:
-          en_US: amazon.rerank-v1:0
-          zh_Hans: amazon.rerank-v1:0
-    form: form
-
   - name: aws_region
     type: string
     required: false

api/core/tools/utils/parser.py

@@ -5,7 +5,6 @@ from json import loads as json_loads
 from json.decoder import JSONDecodeError
 from typing import Optional
 
-from flask import request
 from requests import get
 from yaml import YAMLError, safe_load  # type: ignore
 
@@ -30,10 +29,6 @@ class ApiBasedToolSchemaParser:
             raise ToolProviderNotFoundError("No server found in the openapi yaml.")
 
         server_url = openapi["servers"][0]["url"]
-        request_env = request.headers.get("X-Request-Env")
-        if request_env:
-            matched_servers = [server["url"] for server in openapi["servers"] if server["env"] == request_env]
-            server_url = matched_servers[0] if matched_servers else server_url
 
         # list all interfaces
         interfaces = []
@@ -117,7 +112,7 @@ class ApiBasedToolSchemaParser:
                                 llm_description=property.get("description", ""),
                                 default=property.get("default", None),
                                 placeholder=I18nObject(
-                                    en_US=property.get("description", ""), zh_Hans=property.get("description", "")
+                                    en_US=parameter.get("description", ""), zh_Hans=parameter.get("description", "")
                                 ),
                             )
 

api/core/workflow/nodes/answer/base_stream_processor.py

@@ -1,7 +1,6 @@
 import logging
 from abc import ABC, abstractmethod
 from collections.abc import Generator
-from typing import Optional
 
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.graph_engine.entities.event import GraphEngineEvent, NodeRunExceptionEvent, NodeRunSucceededEvent
@@ -49,35 +48,25 @@ class StreamProcessor(ABC):
                     # we remove the node maybe shortcut the answer node, so comment this code for now
                     # there is not effect on the answer node and the workflow, when we have a better solution
                     # we can open this code. Issues: #11542 #9560 #10638 #10564
-                    # ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id)
-                    # if "answer" in ids:
-                    #     continue
-                    # else:
-                    #     reachable_node_ids.extend(ids)
-
-                    # The branch_identify parameter is added to ensure that
-                    # only nodes in the correct logical branch are included.
-                    ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id, run_result.edge_source_handle)
-                    reachable_node_ids.extend(ids)
+                    ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id)
+                    if "answer" in ids:
+                        continue
+                    else:
+                        reachable_node_ids.extend(ids)
                 else:
                     unreachable_first_node_ids.append(edge.target_node_id)
 
             for node_id in unreachable_first_node_ids:
                 self._remove_node_ids_in_unreachable_branch(node_id, reachable_node_ids)
 
-    def _fetch_node_ids_in_reachable_branch(self, node_id: str, branch_identify: Optional[str] = None) -> list[str]:
+    def _fetch_node_ids_in_reachable_branch(self, node_id: str) -> list[str]:
         node_ids = []
         for edge in self.graph.edge_mapping.get(node_id, []):
             if edge.target_node_id == self.graph.root_node_id:
                 continue
 
-            # Only follow edges that match the branch_identify or have no run_condition
-            if edge.run_condition and edge.run_condition.branch_identify:
-                if not branch_identify or edge.run_condition.branch_identify != branch_identify:
-                    continue
-
             node_ids.append(edge.target_node_id)
-            node_ids.extend(self._fetch_node_ids_in_reachable_branch(edge.target_node_id, branch_identify))
+            node_ids.extend(self._fetch_node_ids_in_reachable_branch(edge.target_node_id))
         return node_ids
 
     def _remove_node_ids_in_unreachable_branch(self, node_id: str, reachable_node_ids: list[str]) -> None:

api/core/workflow/nodes/document_extractor/node.py

@@ -2,18 +2,14 @@ import csv
 import io
 import json
 import logging
-import operator
 import os
 import tempfile
-from collections.abc import Mapping, Sequence
-from typing import Any, cast
+from typing import cast
 
 import docx
 import pandas as pd
 import pypdfium2  # type: ignore
 import yaml  # type: ignore
-from docx.table import Table
-from docx.text.paragraph import Paragraph
 
 from configs import dify_config
 from core.file import File, FileTransferMethod, file_manager
@@ -82,23 +78,6 @@ class DocumentExtractorNode(BaseNode[DocumentExtractorNodeData]):
                 process_data=process_data,
             )
 
-    @classmethod
-    def _extract_variable_selector_to_variable_mapping(
-        cls,
-        *,
-        graph_config: Mapping[str, Any],
-        node_id: str,
-        node_data: DocumentExtractorNodeData,
-    ) -> Mapping[str, Sequence[str]]:
-        """
-        Extract variable selector to variable mapping
-        :param graph_config: graph config
-        :param node_id: node id
-        :param node_data: node data
-        :return:
-        """
-        return {node_id + ".files": node_data.variable_selector}
-
 
 def _extract_text_by_mime_type(*, file_content: bytes, mime_type: str) -> str:
     """Extract text from a file based on its MIME type."""
@@ -210,56 +189,35 @@ def _extract_text_from_doc(file_content: bytes) -> str:
         doc_file = io.BytesIO(file_content)
         doc = docx.Document(doc_file)
         text = []
-
-        # Keep track of paragraph and table positions
-        content_items: list[tuple[int, str, Table | Paragraph]] = []
-
-        # Process paragraphs and tables
-        for i, paragraph in enumerate(doc.paragraphs):
+        # Process paragraphs
+        for paragraph in doc.paragraphs:
             if paragraph.text.strip():
-                content_items.append((i, "paragraph", paragraph))
+                text.append(paragraph.text)
 
-        for i, table in enumerate(doc.tables):
-            content_items.append((i, "table", table))
-
-        # Sort content items based on their original position
-        content_items.sort(key=operator.itemgetter(0))
-
-        # Process sorted content
-        for _, item_type, item in content_items:
-            if item_type == "paragraph":
-                if isinstance(item, Table):
-                    continue
-                text.append(item.text)
-            elif item_type == "table":
-                # Process tables
-                if not isinstance(item, Table):
-                    continue
-                try:
+        # Process tables
+        for table in doc.tables:
+            # Table header
+            try:
+                # table maybe cause errors so ignore it.
+                if len(table.rows) > 0 and table.rows[0].cells is not None:
                     # Check if any cell in the table has text
                     has_content = False
-                    for row in item.rows:
+                    for row in table.rows:
                         if any(cell.text.strip() for cell in row.cells):
                             has_content = True
                             break
 
                     if has_content:
-                        cell_texts = [cell.text.replace("\n", "<br>") for cell in item.rows[0].cells]
-                        markdown_table = f"| {' | '.join(cell_texts)} |\n"
-                        markdown_table += f"| {' | '.join(['---'] * len(item.rows[0].cells))} |\n"
-
-                        for row in item.rows[1:]:
-                            # Replace newlines with <br> in each cell
-                            row_cells = [cell.text.replace("\n", "<br>") for cell in row.cells]
-                            markdown_table += "| " + " | ".join(row_cells) + " |\n"
-
+                        markdown_table = "| " + " | ".join(cell.text for cell in table.rows[0].cells) + " |\n"
+                        markdown_table += "| " + " | ".join(["---"] * len(table.rows[0].cells)) + " |\n"
+                        for row in table.rows[1:]:
+                            markdown_table += "| " + " | ".join(cell.text for cell in row.cells) + " |\n"
                         text.append(markdown_table)
-                except Exception as e:
-                    logger.warning(f"Failed to extract table from DOC/DOCX: {e}")
-                    continue
+            except Exception as e:
+                logger.warning(f"Failed to extract table from DOC/DOCX: {e}")
+                continue
 
         return "\n".join(text)
-
     except Exception as e:
         raise TextExtractionError(f"Failed to extract text from DOC/DOCX: {str(e)}") from e
 

api/core/workflow/nodes/http_request/executor.py

@@ -82,6 +82,12 @@ class Executor:
                 node_data.authorization.config.api_key
             ).text
 
+        # check if node_data.url is a valid URL
+        if not node_data.url:
+            raise InvalidURLError("url is required")
+        if not node_data.url.startswith(("http://", "https://")):
+            raise InvalidURLError("url should start with http:// or https://")
+
         self.url: str = node_data.url
         self.method = node_data.method
         self.auth = node_data.authorization
@@ -108,12 +114,6 @@ class Executor:
     def _init_url(self):
         self.url = self.variable_pool.convert_template(self.node_data.url).text
 
-        # check if url is a valid URL
-        if not self.url:
-            raise InvalidURLError("url is required")
-        if not self.url.startswith(("http://", "https://")):
-            raise InvalidURLError("url should start with http:// or https://")
-
     def _init_params(self):
         """
         Almost same as _init_headers(), difference:

api/core/workflow/nodes/variable_assigner/v2/node.py

@@ -1,5 +1,4 @@
 import json
-from collections.abc import Sequence
 from typing import Any, cast
 
 from core.variables import SegmentType, Variable
@@ -32,7 +31,7 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
         inputs = self.node_data.model_dump()
         process_data: dict[str, Any] = {}
         # NOTE: This node has no outputs
-        updated_variable_selectors: list[Sequence[str]] = []
+        updated_variables: list[Variable] = []
 
         try:
             for item in self.node_data.items:
@@ -99,8 +98,7 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
                     value=item.value,
                 )
                 variable = variable.model_copy(update={"value": updated_value})
-                self.graph_runtime_state.variable_pool.add(variable.selector, variable)
-                updated_variable_selectors.append(variable.selector)
+                updated_variables.append(variable)
         except VariableOperatorNodeError as e:
             return NodeRunResult(
                 status=WorkflowNodeExecutionStatus.FAILED,
@@ -109,15 +107,9 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
                 error=str(e),
             )
 
-        # The `updated_variable_selectors` is a list contains list[str] which not hashable,
-        # remove the duplicated items first.
-        updated_variable_selectors = list(set(map(tuple, updated_variable_selectors)))
-
         # Update variables
-        for selector in updated_variable_selectors:
-            variable = self.graph_runtime_state.variable_pool.get(selector)
-            if not isinstance(variable, Variable):
-                raise VariableNotFoundError(variable_selector=selector)
+        for variable in updated_variables:
+            self.graph_runtime_state.variable_pool.add(variable.selector, variable)
             process_data[variable.name] = variable.value
 
             if variable.selector[0] == CONVERSATION_VARIABLE_NODE_ID:

api/docker/entrypoint.sh

@@ -33,7 +33,6 @@ else
       --bind "${DIFY_BIND_ADDRESS:-0.0.0.0}:${DIFY_PORT:-5001}" \
       --workers ${SERVER_WORKER_AMOUNT:-1} \
       --worker-class ${SERVER_WORKER_CLASS:-gevent} \
-      --worker-connections ${SERVER_WORKER_CONNECTIONS:-10} \
       --timeout ${GUNICORN_TIMEOUT:-200} \
       app:app
   fi

api/factories/file_factory.py

@@ -158,7 +158,7 @@ def _build_from_remote_url(
     tenant_id: str,
     transfer_method: FileTransferMethod,
 ) -> File:
-    url = mapping.get("url") or mapping.get("remote_url")
+    url = mapping.get("url")
     if not url:
         raise ValueError("Invalid file url")
 

api/models/model.py

@@ -1405,8 +1405,9 @@ class ApiToken(db.Model):  # type: ignore[name-defined]
     def generate_api_key(prefix, n):
         while True:
             result = prefix + generate_string(n)
-            if db.session.query(ApiToken).filter(ApiToken.token == result).count() > 0:
-                continue
+            while db.session.query(ApiToken).filter(ApiToken.token == result).count() > 0:
+                result = prefix + generate_string(n)
+
             return result
 
 

api/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
 
 [[package]]
 name = "aiofiles"
@@ -469,13 +469,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.8.0"
+version = "4.7.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
-    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
+    {file = "anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
+    {file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
 ]
 
 [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)", "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)", "pytest-mock (>=3.6.1)", "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 = "1.35.94"
+version = "1.35.90"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.94-py3-none-any.whl", hash = "sha256:d784d944865d8279c79d2301fc09ac28b5221d4e7328fb4e23c642c253b9932c"},
-    {file = "botocore-1.35.94.tar.gz", hash = "sha256:2b3309b356541faa4d88bb957dcac1d8004aa44953c0b7d4521a6cc5d3d5d6ba"},
+    {file = "botocore-1.35.90-py3-none-any.whl", hash = "sha256:51dcbe1b32e2ac43dac17091f401a00ce5939f76afe999081802009cce1e92e4"},
+    {file = "botocore-1.35.90.tar.gz", hash = "sha256:f007f58e8e3c1ad0412a6ddfae40ed92a7bca571c068cb959902bcf107f2ae48"},
 ]
 
 [package.dependencies]
@@ -1966,7 +1966,6 @@ files = [
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:761817a3377ef15ac23cd7834715081791d4ec77f9297ee694ca1ee9c2c7e5eb"},
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3c672a53c0fb4725a29c303be906d3c1fa99c32f58abe008a82705f9ee96f40b"},
     {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:4ac4c9f37eba52cb6fbeaf5b59c152ea976726b865bd4cf87883a7e7006cc543"},
-    {file = "cryptography-44.0.0-cp37-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:60eb32934076fa07e4316b7b2742fa52cbb190b42c2df2863dbc4230a0a9b385"},
     {file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:ed3534eb1090483c96178fcb0f8893719d96d5274dfde98aa6add34614e97c8e"},
     {file = "cryptography-44.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f3f6fdfa89ee2d9d496e2c087cebef9d4fcbb0ad63c40e821b39f74bf48d9c5e"},
     {file = "cryptography-44.0.0-cp37-abi3-win32.whl", hash = "sha256:eb33480f1bad5b78233b0ad3e1b0be21e8ef1da745d8d2aecbb20671658b9053"},
@@ -1977,7 +1976,6 @@ files = [
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:c5eb858beed7835e5ad1faba59e865109f3e52b3783b9ac21e7e47dc5554e289"},
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f53c2c87e0fb4b0c00fa9571082a057e37690a8f12233306161c8f4b819960b7"},
     {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:9e6fc8a08e116fb7c7dd1f040074c9d7b51d74a8ea40d4df2fc7aa08b76b9e6c"},
-    {file = "cryptography-44.0.0-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:9abcc2e083cbe8dde89124a47e5e53ec38751f0d7dfd36801008f316a127d7ba"},
     {file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d2436114e46b36d00f8b72ff57e598978b37399d2786fd39793c36c6d5cb1c64"},
     {file = "cryptography-44.0.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a01956ddfa0a6790d594f5b34fc1bfa6098aca434696a03cfdbe469b8ed79285"},
     {file = "cryptography-44.0.0-cp39-abi3-win32.whl", hash = "sha256:eca27345e1214d1b9f9490d200f9db5a874479be914199194e746c893788d417"},
@@ -2324,13 +2322,13 @@ files = [
 
 [[package]]
 name = "elastic-transport"
-version = "8.17.0"
+version = "8.15.1"
 description = "Transport classes and utilities shared among Python Elastic client libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "elastic_transport-8.17.0-py3-none-any.whl", hash = "sha256:59f553300866750e67a38828fede000576562a0e66930c641adb75249e0c95af"},
-    {file = "elastic_transport-8.17.0.tar.gz", hash = "sha256:e755f38f99fa6ec5456e236b8e58f0eb18873ac8fe710f74b91a16dd562de2a5"},
+    {file = "elastic_transport-8.15.1-py3-none-any.whl", hash = "sha256:b5e82ff1679d8c7705a03fd85c7f6ef85d6689721762d41228dd312e34f331fc"},
+    {file = "elastic_transport-8.15.1.tar.gz", hash = "sha256:9cac4ab5cf9402668cf305ae0b7d93ddc0c7b61461d6d1027850db6da9cc5742"},
 ]
 
 [package.dependencies]
@@ -2374,6 +2372,27 @@ files = [
 [package.extras]
 dev = ["coverage", "pytest (>=7.4.4)"]
 
+[[package]]
+name = "environs"
+version = "9.5.0"
+description = "simplified environment variable parsing"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "environs-9.5.0-py2.py3-none-any.whl", hash = "sha256:1e549569a3de49c05f856f40bce86979e7d5ffbbc4398e7f338574c220189124"},
+    {file = "environs-9.5.0.tar.gz", hash = "sha256:a76307b36fbe856bdca7ee9161e6c466fd7fcffc297109a118c59b54e27e30c9"},
+]
+
+[package.dependencies]
+marshmallow = ">=3.0.0"
+python-dotenv = "*"
+
+[package.extras]
+dev = ["dj-database-url", "dj-email-url", "django-cache-url", "flake8 (==4.0.1)", "flake8-bugbear (==21.9.2)", "mypy (==0.910)", "pre-commit (>=2.4,<3.0)", "pytest", "tox"]
+django = ["dj-database-url", "dj-email-url", "django-cache-url"]
+lint = ["flake8 (==4.0.1)", "flake8-bugbear (==21.9.2)", "mypy (==0.910)", "pre-commit (>=2.4,<3.0)"]
+tests = ["dj-database-url", "dj-email-url", "django-cache-url", "pytest"]
+
 [[package]]
 name = "esdk-obs-python"
 version = "3.24.6.1"
@@ -3638,70 +3657,70 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 
 [[package]]
 name = "grpcio"
-version = "1.67.1"
+version = "1.68.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "grpcio-1.67.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:8b0341d66a57f8a3119b77ab32207072be60c9bf79760fa609c5609f2deb1f3f"},
-    {file = "grpcio-1.67.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:f5a27dddefe0e2357d3e617b9079b4bfdc91341a91565111a21ed6ebbc51b22d"},
-    {file = "grpcio-1.67.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:43112046864317498a33bdc4797ae6a268c36345a910de9b9c17159d8346602f"},
-    {file = "grpcio-1.67.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c9b929f13677b10f63124c1a410994a401cdd85214ad83ab67cc077fc7e480f0"},
-    {file = "grpcio-1.67.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7d1797a8a3845437d327145959a2c0c47c05947c9eef5ff1a4c80e499dcc6fa"},
-    {file = "grpcio-1.67.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:0489063974d1452436139501bf6b180f63d4977223ee87488fe36858c5725292"},
-    {file = "grpcio-1.67.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9fd042de4a82e3e7aca44008ee2fb5da01b3e5adb316348c21980f7f58adc311"},
-    {file = "grpcio-1.67.1-cp310-cp310-win32.whl", hash = "sha256:638354e698fd0c6c76b04540a850bf1db27b4d2515a19fcd5cf645c48d3eb1ed"},
-    {file = "grpcio-1.67.1-cp310-cp310-win_amd64.whl", hash = "sha256:608d87d1bdabf9e2868b12338cd38a79969eaf920c89d698ead08f48de9c0f9e"},
-    {file = "grpcio-1.67.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:7818c0454027ae3384235a65210bbf5464bd715450e30a3d40385453a85a70cb"},
-    {file = "grpcio-1.67.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ea33986b70f83844cd00814cee4451055cd8cab36f00ac64a31f5bb09b31919e"},
-    {file = "grpcio-1.67.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:c7a01337407dd89005527623a4a72c5c8e2894d22bead0895306b23c6695698f"},
-    {file = "grpcio-1.67.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:80b866f73224b0634f4312a4674c1be21b2b4afa73cb20953cbbb73a6b36c3cc"},
-    {file = "grpcio-1.67.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9fff78ba10d4250bfc07a01bd6254a6d87dc67f9627adece85c0b2ed754fa96"},
-    {file = "grpcio-1.67.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8a23cbcc5bb11ea7dc6163078be36c065db68d915c24f5faa4f872c573bb400f"},
-    {file = "grpcio-1.67.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1a65b503d008f066e994f34f456e0647e5ceb34cfcec5ad180b1b44020ad4970"},
-    {file = "grpcio-1.67.1-cp311-cp311-win32.whl", hash = "sha256:e29ca27bec8e163dca0c98084040edec3bc49afd10f18b412f483cc68c712744"},
-    {file = "grpcio-1.67.1-cp311-cp311-win_amd64.whl", hash = "sha256:786a5b18544622bfb1e25cc08402bd44ea83edfb04b93798d85dca4d1a0b5be5"},
-    {file = "grpcio-1.67.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:267d1745894200e4c604958da5f856da6293f063327cb049a51fe67348e4f953"},
-    {file = "grpcio-1.67.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:85f69fdc1d28ce7cff8de3f9c67db2b0ca9ba4449644488c1e0303c146135ddb"},
-    {file = "grpcio-1.67.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:f26b0b547eb8d00e195274cdfc63ce64c8fc2d3e2d00b12bf468ece41a0423a0"},
-    {file = "grpcio-1.67.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4422581cdc628f77302270ff839a44f4c24fdc57887dc2a45b7e53d8fc2376af"},
-    {file = "grpcio-1.67.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d7616d2ded471231c701489190379e0c311ee0a6c756f3c03e6a62b95a7146e"},
-    {file = "grpcio-1.67.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8a00efecde9d6fcc3ab00c13f816313c040a28450e5e25739c24f432fc6d3c75"},
-    {file = "grpcio-1.67.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:699e964923b70f3101393710793289e42845791ea07565654ada0969522d0a38"},
-    {file = "grpcio-1.67.1-cp312-cp312-win32.whl", hash = "sha256:4e7b904484a634a0fff132958dabdb10d63e0927398273917da3ee103e8d1f78"},
-    {file = "grpcio-1.67.1-cp312-cp312-win_amd64.whl", hash = "sha256:5721e66a594a6c4204458004852719b38f3d5522082be9061d6510b455c90afc"},
-    {file = "grpcio-1.67.1-cp313-cp313-linux_armv7l.whl", hash = "sha256:aa0162e56fd10a5547fac8774c4899fc3e18c1aa4a4759d0ce2cd00d3696ea6b"},
-    {file = "grpcio-1.67.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:beee96c8c0b1a75d556fe57b92b58b4347c77a65781ee2ac749d550f2a365dc1"},
-    {file = "grpcio-1.67.1-cp313-cp313-manylinux_2_17_aarch64.whl", hash = "sha256:a93deda571a1bf94ec1f6fcda2872dad3ae538700d94dc283c672a3b508ba3af"},
-    {file = "grpcio-1.67.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0e6f255980afef598a9e64a24efce87b625e3e3c80a45162d111a461a9f92955"},
-    {file = "grpcio-1.67.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e838cad2176ebd5d4a8bb03955138d6589ce9e2ce5d51c3ada34396dbd2dba8"},
-    {file = "grpcio-1.67.1-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:a6703916c43b1d468d0756c8077b12017a9fcb6a1ef13faf49e67d20d7ebda62"},
-    {file = "grpcio-1.67.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:917e8d8994eed1d86b907ba2a61b9f0aef27a2155bca6cbb322430fc7135b7bb"},
-    {file = "grpcio-1.67.1-cp313-cp313-win32.whl", hash = "sha256:e279330bef1744040db8fc432becc8a727b84f456ab62b744d3fdb83f327e121"},
-    {file = "grpcio-1.67.1-cp313-cp313-win_amd64.whl", hash = "sha256:fa0c739ad8b1996bd24823950e3cb5152ae91fca1c09cc791190bf1627ffefba"},
-    {file = "grpcio-1.67.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:178f5db771c4f9a9facb2ab37a434c46cb9be1a75e820f187ee3d1e7805c4f65"},
-    {file = "grpcio-1.67.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:0f3e49c738396e93b7ba9016e153eb09e0778e776df6090c1b8c91877cc1c426"},
-    {file = "grpcio-1.67.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:24e8a26dbfc5274d7474c27759b54486b8de23c709d76695237515bc8b5baeab"},
-    {file = "grpcio-1.67.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b6c16489326d79ead41689c4b84bc40d522c9a7617219f4ad94bc7f448c5085"},
-    {file = "grpcio-1.67.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60e6a4dcf5af7bbc36fd9f81c9f372e8ae580870a9e4b6eafe948cd334b81cf3"},
-    {file = "grpcio-1.67.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:95b5f2b857856ed78d72da93cd7d09b6db8ef30102e5e7fe0961fe4d9f7d48e8"},
-    {file = "grpcio-1.67.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b49359977c6ec9f5d0573ea4e0071ad278ef905aa74e420acc73fd28ce39e9ce"},
-    {file = "grpcio-1.67.1-cp38-cp38-win32.whl", hash = "sha256:f5b76ff64aaac53fede0cc93abf57894ab2a7362986ba22243d06218b93efe46"},
-    {file = "grpcio-1.67.1-cp38-cp38-win_amd64.whl", hash = "sha256:804c6457c3cd3ec04fe6006c739579b8d35c86ae3298ffca8de57b493524b771"},
-    {file = "grpcio-1.67.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:a25bdea92b13ff4d7790962190bf6bf5c4639876e01c0f3dda70fc2769616335"},
-    {file = "grpcio-1.67.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:cdc491ae35a13535fd9196acb5afe1af37c8237df2e54427be3eecda3653127e"},
-    {file = "grpcio-1.67.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:85f862069b86a305497e74d0dc43c02de3d1d184fc2c180993aa8aa86fbd19b8"},
-    {file = "grpcio-1.67.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ec74ef02010186185de82cc594058a3ccd8d86821842bbac9873fd4a2cf8be8d"},
-    {file = "grpcio-1.67.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01f616a964e540638af5130469451cf580ba8c7329f45ca998ab66e0c7dcdb04"},
-    {file = "grpcio-1.67.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:299b3d8c4f790c6bcca485f9963b4846dd92cf6f1b65d3697145d005c80f9fe8"},
-    {file = "grpcio-1.67.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:60336bff760fbb47d7e86165408126f1dded184448e9a4c892189eb7c9d3f90f"},
-    {file = "grpcio-1.67.1-cp39-cp39-win32.whl", hash = "sha256:5ed601c4c6008429e3d247ddb367fe8c7259c355757448d7c1ef7bd4a6739e8e"},
-    {file = "grpcio-1.67.1-cp39-cp39-win_amd64.whl", hash = "sha256:5db70d32d6703b89912af16d6d45d78406374a8b8ef0d28140351dd0ec610e98"},
-    {file = "grpcio-1.67.1.tar.gz", hash = "sha256:3dc2ed4cabea4dc14d5e708c2b426205956077cc5de419b4d4079315017e9732"},
+    {file = "grpcio-1.68.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:d35740e3f45f60f3c37b1e6f2f4702c23867b9ce21c6410254c9c682237da68d"},
+    {file = "grpcio-1.68.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:d99abcd61760ebb34bdff37e5a3ba333c5cc09feda8c1ad42547bea0416ada78"},
+    {file = "grpcio-1.68.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:f8261fa2a5f679abeb2a0a93ad056d765cdca1c47745eda3f2d87f874ff4b8c9"},
+    {file = "grpcio-1.68.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0feb02205a27caca128627bd1df4ee7212db051019a9afa76f4bb6a1a80ca95e"},
+    {file = "grpcio-1.68.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:919d7f18f63bcad3a0f81146188e90274fde800a94e35d42ffe9eadf6a9a6330"},
+    {file = "grpcio-1.68.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:963cc8d7d79b12c56008aabd8b457f400952dbea8997dd185f155e2f228db079"},
+    {file = "grpcio-1.68.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ccf2ebd2de2d6661e2520dae293298a3803a98ebfc099275f113ce1f6c2a80f1"},
+    {file = "grpcio-1.68.1-cp310-cp310-win32.whl", hash = "sha256:2cc1fd04af8399971bcd4f43bd98c22d01029ea2e56e69c34daf2bf8470e47f5"},
+    {file = "grpcio-1.68.1-cp310-cp310-win_amd64.whl", hash = "sha256:ee2e743e51cb964b4975de572aa8fb95b633f496f9fcb5e257893df3be854746"},
+    {file = "grpcio-1.68.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:55857c71641064f01ff0541a1776bfe04a59db5558e82897d35a7793e525774c"},
+    {file = "grpcio-1.68.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:4b177f5547f1b995826ef529d2eef89cca2f830dd8b2c99ffd5fde4da734ba73"},
+    {file = "grpcio-1.68.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:3522c77d7e6606d6665ec8d50e867f13f946a4e00c7df46768f1c85089eae515"},
+    {file = "grpcio-1.68.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9d1fae6bbf0816415b81db1e82fb3bf56f7857273c84dcbe68cbe046e58e1ccd"},
+    {file = "grpcio-1.68.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:298ee7f80e26f9483f0b6f94cc0a046caf54400a11b644713bb5b3d8eb387600"},
+    {file = "grpcio-1.68.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cbb5780e2e740b6b4f2d208e90453591036ff80c02cc605fea1af8e6fc6b1bbe"},
+    {file = "grpcio-1.68.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:ddda1aa22495d8acd9dfbafff2866438d12faec4d024ebc2e656784d96328ad0"},
+    {file = "grpcio-1.68.1-cp311-cp311-win32.whl", hash = "sha256:b33bd114fa5a83f03ec6b7b262ef9f5cac549d4126f1dc702078767b10c46ed9"},
+    {file = "grpcio-1.68.1-cp311-cp311-win_amd64.whl", hash = "sha256:7f20ebec257af55694d8f993e162ddf0d36bd82d4e57f74b31c67b3c6d63d8b2"},
+    {file = "grpcio-1.68.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:8829924fffb25386995a31998ccbbeaa7367223e647e0122043dfc485a87c666"},
+    {file = "grpcio-1.68.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:3aed6544e4d523cd6b3119b0916cef3d15ef2da51e088211e4d1eb91a6c7f4f1"},
+    {file = "grpcio-1.68.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:4efac5481c696d5cb124ff1c119a78bddbfdd13fc499e3bc0ca81e95fc573684"},
+    {file = "grpcio-1.68.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ab2d912ca39c51f46baf2a0d92aa265aa96b2443266fc50d234fa88bf877d8e"},
+    {file = "grpcio-1.68.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95c87ce2a97434dffe7327a4071839ab8e8bffd0054cc74cbe971fba98aedd60"},
+    {file = "grpcio-1.68.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:e4842e4872ae4ae0f5497bf60a0498fa778c192cc7a9e87877abd2814aca9475"},
+    {file = "grpcio-1.68.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:255b1635b0ed81e9f91da4fcc8d43b7ea5520090b9a9ad9340d147066d1d3613"},
+    {file = "grpcio-1.68.1-cp312-cp312-win32.whl", hash = "sha256:7dfc914cc31c906297b30463dde0b9be48e36939575eaf2a0a22a8096e69afe5"},
+    {file = "grpcio-1.68.1-cp312-cp312-win_amd64.whl", hash = "sha256:a0c8ddabef9c8f41617f213e527254c41e8b96ea9d387c632af878d05db9229c"},
+    {file = "grpcio-1.68.1-cp313-cp313-linux_armv7l.whl", hash = "sha256:a47faedc9ea2e7a3b6569795c040aae5895a19dde0c728a48d3c5d7995fda385"},
+    {file = "grpcio-1.68.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:390eee4225a661c5cd133c09f5da1ee3c84498dc265fd292a6912b65c421c78c"},
+    {file = "grpcio-1.68.1-cp313-cp313-manylinux_2_17_aarch64.whl", hash = "sha256:66a24f3d45c33550703f0abb8b656515b0ab777970fa275693a2f6dc8e35f1c1"},
+    {file = "grpcio-1.68.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c08079b4934b0bf0a8847f42c197b1d12cba6495a3d43febd7e99ecd1cdc8d54"},
+    {file = "grpcio-1.68.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8720c25cd9ac25dd04ee02b69256d0ce35bf8a0f29e20577427355272230965a"},
+    {file = "grpcio-1.68.1-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:04cfd68bf4f38f5bb959ee2361a7546916bd9a50f78617a346b3aeb2b42e2161"},
+    {file = "grpcio-1.68.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:c28848761a6520c5c6071d2904a18d339a796ebe6b800adc8b3f474c5ce3c3ad"},
+    {file = "grpcio-1.68.1-cp313-cp313-win32.whl", hash = "sha256:77d65165fc35cff6e954e7fd4229e05ec76102d4406d4576528d3a3635fc6172"},
+    {file = "grpcio-1.68.1-cp313-cp313-win_amd64.whl", hash = "sha256:a8040f85dcb9830d8bbb033ae66d272614cec6faceee88d37a88a9bd1a7a704e"},
+    {file = "grpcio-1.68.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:eeb38ff04ab6e5756a2aef6ad8d94e89bb4a51ef96e20f45c44ba190fa0bcaad"},
+    {file = "grpcio-1.68.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8a3869a6661ec8f81d93f4597da50336718bde9eb13267a699ac7e0a1d6d0bea"},
+    {file = "grpcio-1.68.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:2c4cec6177bf325eb6faa6bd834d2ff6aa8bb3b29012cceb4937b86f8b74323c"},
+    {file = "grpcio-1.68.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:12941d533f3cd45d46f202e3667be8ebf6bcb3573629c7ec12c3e211d99cfccf"},
+    {file = "grpcio-1.68.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80af6f1e69c5e68a2be529990684abdd31ed6622e988bf18850075c81bb1ad6e"},
+    {file = "grpcio-1.68.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:e8dbe3e00771bfe3d04feed8210fc6617006d06d9a2679b74605b9fed3e8362c"},
+    {file = "grpcio-1.68.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:83bbf5807dc3ee94ce1de2dfe8a356e1d74101e4b9d7aa8c720cc4818a34aded"},
+    {file = "grpcio-1.68.1-cp38-cp38-win32.whl", hash = "sha256:8cb620037a2fd9eeee97b4531880e439ebfcd6d7d78f2e7dcc3726428ab5ef63"},
+    {file = "grpcio-1.68.1-cp38-cp38-win_amd64.whl", hash = "sha256:52fbf85aa71263380d330f4fce9f013c0798242e31ede05fcee7fbe40ccfc20d"},
+    {file = "grpcio-1.68.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:cb400138e73969eb5e0535d1d06cae6a6f7a15f2cc74add320e2130b8179211a"},
+    {file = "grpcio-1.68.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a1b988b40f2fd9de5c820f3a701a43339d8dcf2cb2f1ca137e2c02671cc83ac1"},
+    {file = "grpcio-1.68.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:96f473cdacfdd506008a5d7579c9f6a7ff245a9ade92c3c0265eb76cc591914f"},
+    {file = "grpcio-1.68.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:37ea3be171f3cf3e7b7e412a98b77685eba9d4fd67421f4a34686a63a65d99f9"},
+    {file = "grpcio-1.68.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ceb56c4285754e33bb3c2fa777d055e96e6932351a3082ce3559be47f8024f0"},
+    {file = "grpcio-1.68.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:dffd29a2961f3263a16d73945b57cd44a8fd0b235740cb14056f0612329b345e"},
+    {file = "grpcio-1.68.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:025f790c056815b3bf53da850dd70ebb849fd755a4b1ac822cb65cd631e37d43"},
+    {file = "grpcio-1.68.1-cp39-cp39-win32.whl", hash = "sha256:1098f03dedc3b9810810568060dea4ac0822b4062f537b0f53aa015269be0a76"},
+    {file = "grpcio-1.68.1-cp39-cp39-win_amd64.whl", hash = "sha256:334ab917792904245a028f10e803fcd5b6f36a7b2173a820c0b5b076555825e1"},
+    {file = "grpcio-1.68.1.tar.gz", hash = "sha256:44a8502dd5de653ae6a73e2de50a401d84184f0331d0ac3daeb044e66d5c5054"},
 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.67.1)"]
+protobuf = ["grpcio-tools (>=1.68.1)"]
 
 [[package]]
 name = "grpcio-status"
@@ -4198,13 +4217,13 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 
 [[package]]
 name = "importlib-resources"
-version = "6.5.2"
+version = "6.4.5"
 description = "Read resources from Python packages"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.8"
 files = [
-    {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
-    {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
+    {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
+    {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
 ]
 
 [package.extras]
@@ -4693,134 +4712,6 @@ requests-toolbelt = ">=1.0.0,<2.0.0"
 [package.extras]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
 
-[[package]]
-name = "levenshtein"
-version = "0.26.1"
-description = "Python extension for computing string edit distances and similarities."
-optional = false
-python-versions = ">=3.9"
-files = [
-    {file = "levenshtein-0.26.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8dc4a4aecad538d944a1264c12769c99e3c0bf8e741fc5e454cc954913befb2e"},
-    {file = "levenshtein-0.26.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec108f368c12b25787c8b1a4537a1452bc53861c3ee4abc810cc74098278edcd"},
-    {file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69229d651c97ed5b55b7ce92481ed00635cdbb80fbfb282a22636e6945dc52d5"},
-    {file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:79dcd157046d62482a7719b08ba9e3ce9ed3fc5b015af8ea989c734c702aedd4"},
-    {file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6f53f9173ae21b650b4ed8aef1d0ad0c37821f367c221a982f4d2922b3044e0d"},
-    {file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3956f3c5c229257dbeabe0b6aacd2c083ebcc1e335842a6ff2217fe6cc03b6b"},
-    {file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e1e83af732726987d2c4cd736f415dae8b966ba17b7a2239c8b7ffe70bfb5543"},
-    {file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4f052c55046c2a9c9b5f742f39e02fa6e8db8039048b8c1c9e9fdd27c8a240a1"},
-    {file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9895b3a98f6709e293615fde0dcd1bb0982364278fa2072361a1a31b3e388b7a"},
-    {file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:a3777de1d8bfca054465229beed23994f926311ce666f5a392c8859bb2722f16"},
-    {file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:81c57e1135c38c5e6e3675b5e2077d8a8d3be32bf0a46c57276c092b1dffc697"},
-    {file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:91d5e7d984891df3eff7ea9fec8cf06fdfacc03cd074fd1a410435706f73b079"},
-    {file = "levenshtein-0.26.1-cp310-cp310-win32.whl", hash = "sha256:f48abff54054b4142ad03b323e80aa89b1d15cabc48ff49eb7a6ff7621829a56"},
-    {file = "levenshtein-0.26.1-cp310-cp310-win_amd64.whl", hash = "sha256:79dd6ad799784ea7b23edd56e3bf94b3ca866c4c6dee845658ee75bb4aefdabf"},
-    {file = "levenshtein-0.26.1-cp310-cp310-win_arm64.whl", hash = "sha256:3351ddb105ef010cc2ce474894c5d213c83dddb7abb96400beaa4926b0b745bd"},
-    {file = "levenshtein-0.26.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:44c51f5d33b3cfb9db518b36f1288437a509edd82da94c4400f6a681758e0cb6"},
-    {file = "levenshtein-0.26.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:56b93203e725f9df660e2afe3d26ba07d71871b6d6e05b8b767e688e23dfb076"},
-    {file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:270d36c5da04a0d89990660aea8542227cbd8f5bc34e9fdfadd34916ff904520"},
-    {file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:480674c05077eeb0b0f748546d4fcbb386d7c737f9fff0010400da3e8b552942"},
-    {file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:13946e37323728695ba7a22f3345c2e907d23f4600bc700bf9b4352fb0c72a48"},
-    {file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ceb673f572d1d0dc9b1cd75792bb8bad2ae8eb78a7c6721e23a3867d318cb6f2"},
-    {file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:42d6fa242e3b310ce6bfd5af0c83e65ef10b608b885b3bb69863c01fb2fcff98"},
-    {file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b8b68295808893a81e0a1dbc2274c30dd90880f14d23078e8eb4325ee615fc68"},
-    {file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:b01061d377d1944eb67bc40bef5d4d2f762c6ab01598efd9297ce5d0047eb1b5"},
-    {file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:9d12c8390f156745e533d01b30773b9753e41d8bbf8bf9dac4b97628cdf16314"},
-    {file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:48825c9f967f922061329d1481b70e9fee937fc68322d6979bc623f69f75bc91"},
-    {file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d8ec137170b95736842f99c0e7a9fd8f5641d0c1b63b08ce027198545d983e2b"},
-    {file = "levenshtein-0.26.1-cp311-cp311-win32.whl", hash = "sha256:798f2b525a2e90562f1ba9da21010dde0d73730e277acaa5c52d2a6364fd3e2a"},
-    {file = "levenshtein-0.26.1-cp311-cp311-win_amd64.whl", hash = "sha256:55b1024516c59df55f1cf1a8651659a568f2c5929d863d3da1ce8893753153bd"},
-    {file = "levenshtein-0.26.1-cp311-cp311-win_arm64.whl", hash = "sha256:e52575cbc6b9764ea138a6f82d73d3b1bc685fe62e207ff46a963d4c773799f6"},
-    {file = "levenshtein-0.26.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cc741ca406d3704dc331a69c04b061fc952509a069b79cab8287413f434684bd"},
-    {file = "levenshtein-0.26.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:821ace3b4e1c2e02b43cf5dc61aac2ea43bdb39837ac890919c225a2c3f2fea4"},
-    {file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92694c9396f55d4c91087efacf81297bef152893806fc54c289fc0254b45384"},
-    {file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:51ba374de7a1797d04a14a4f0ad3602d2d71fef4206bb20a6baaa6b6a502da58"},
-    {file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f7aa5c3327dda4ef952769bacec09c09ff5bf426e07fdc94478c37955681885b"},
-    {file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33e2517e8d3c221de2d1183f400aed64211fcfc77077b291ed9f3bb64f141cdc"},
-    {file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9092b622765c7649dd1d8af0f43354723dd6f4e570ac079ffd90b41033957438"},
-    {file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:fc16796c85d7d8b259881d59cc8b5e22e940901928c2ff6924b2c967924e8a0b"},
-    {file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e4370733967f5994ceeed8dc211089bedd45832ee688cecea17bfd35a9eb22b9"},
-    {file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:3535ecfd88c9b283976b5bc61265855f59bba361881e92ed2b5367b6990c93fe"},
-    {file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:90236e93d98bdfd708883a6767826fafd976dac8af8fc4a0fb423d4fa08e1bf0"},
-    {file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:04b7cabb82edf566b1579b3ed60aac0eec116655af75a3c551fee8754ffce2ea"},
-    {file = "levenshtein-0.26.1-cp312-cp312-win32.whl", hash = "sha256:ae382af8c76f6d2a040c0d9ca978baf461702ceb3f79a0a3f6da8d596a484c5b"},
-    {file = "levenshtein-0.26.1-cp312-cp312-win_amd64.whl", hash = "sha256:fd091209798cfdce53746f5769987b4108fe941c54fb2e058c016ffc47872918"},
-    {file = "levenshtein-0.26.1-cp312-cp312-win_arm64.whl", hash = "sha256:7e82f2ea44a81ad6b30d92a110e04cd3c8c7c6034b629aca30a3067fa174ae89"},
-    {file = "levenshtein-0.26.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:790374a9f5d2cbdb30ee780403a62e59bef51453ac020668c1564d1e43438f0e"},
-    {file = "levenshtein-0.26.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7b05c0415c386d00efda83d48db9db68edd02878d6dbc6df01194f12062be1bb"},
-    {file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3114586032361722ddededf28401ce5baf1cf617f9f49fb86b8766a45a423ff"},
-    {file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2532f8a13b68bf09f152d906f118a88da2063da22f44c90e904b142b0a53d534"},
-    {file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:219c30be6aa734bf927188d1208b7d78d202a3eb017b1c5f01ab2034d2d4ccca"},
-    {file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:397e245e77f87836308bd56305bba630010cd8298c34c4c44bd94990cdb3b7b1"},
-    {file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aeff6ea3576f72e26901544c6c55c72a7b79b9983b6f913cba0e9edbf2f87a97"},
-    {file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a19862e3539a697df722a08793994e334cd12791e8144851e8a1dee95a17ff63"},
-    {file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:dc3b5a64f57c3c078d58b1e447f7d68cad7ae1b23abe689215d03fc434f8f176"},
-    {file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bb6c7347424a91317c5e1b68041677e4c8ed3e7823b5bbaedb95bffb3c3497ea"},
-    {file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:b817376de4195a207cc0e4ca37754c0e1e1078c2a2d35a6ae502afde87212f9e"},
-    {file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7b50c3620ff47c9887debbb4c154aaaac3e46be7fc2e5789ee8dbe128bce6a17"},
-    {file = "levenshtein-0.26.1-cp313-cp313-win32.whl", hash = "sha256:9fb859da90262eb474c190b3ca1e61dee83add022c676520f5c05fdd60df902a"},
-    {file = "levenshtein-0.26.1-cp313-cp313-win_amd64.whl", hash = "sha256:8adcc90e3a5bfb0a463581d85e599d950fe3c2938ac6247b29388b64997f6e2d"},
-    {file = "levenshtein-0.26.1-cp313-cp313-win_arm64.whl", hash = "sha256:c2599407e029865dc66d210b8804c7768cbdbf60f061d993bb488d5242b0b73e"},
-    {file = "levenshtein-0.26.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dc54ced948fc3feafce8ad4ba4239d8ffc733a0d70e40c0363ac2a7ab2b7251e"},
-    {file = "levenshtein-0.26.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e6516f69213ae393a220e904332f1a6bfc299ba22cf27a6520a1663a08eba0fb"},
-    {file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4cfea4eada1746d0c75a864bc7e9e63d4a6e987c852d6cec8d9cb0c83afe25b"},
-    {file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a323161dfeeac6800eb13cfe76a8194aec589cd948bcf1cdc03f66cc3ec26b72"},
-    {file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2c23e749b68ebc9a20b9047317b5cd2053b5856315bc8636037a8adcbb98bed1"},
-    {file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f80dd7432d4b6cf493d012d22148db7af769017deb31273e43406b1fb7f091c"},
-    {file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0ae7cd6e4312c6ef34b2e273836d18f9fff518d84d823feff5ad7c49668256e0"},
-    {file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dcdad740e841d791b805421c2b20e859b4ed556396d3063b3aa64cd055be648c"},
-    {file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:e07afb1613d6f5fd99abd4e53ad3b446b4efaa0f0d8e9dfb1d6d1b9f3f884d32"},
-    {file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:f1add8f1d83099a98ae4ac472d896b7e36db48c39d3db25adf12b373823cdeff"},
-    {file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:1010814b1d7a60833a951f2756dfc5c10b61d09976ce96a0edae8fecdfb0ea7c"},
-    {file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:33fa329d1bb65ce85e83ceda281aea31cee9f2f6e167092cea54f922080bcc66"},
-    {file = "levenshtein-0.26.1-cp39-cp39-win32.whl", hash = "sha256:488a945312f2f16460ab61df5b4beb1ea2254c521668fd142ce6298006296c98"},
-    {file = "levenshtein-0.26.1-cp39-cp39-win_amd64.whl", hash = "sha256:9f942104adfddd4b336c3997050121328c39479f69de702d7d144abb69ea7ab9"},
-    {file = "levenshtein-0.26.1-cp39-cp39-win_arm64.whl", hash = "sha256:c1d8f85b2672939f85086ed75effcf768f6077516a3e299c2ba1f91bc4644c22"},
-    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6cf8f1efaf90ca585640c5d418c30b7d66d9ac215cee114593957161f63acde0"},
-    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d5b2953978b8c158dd5cd93af8216a5cfddbf9de66cf5481c2955f44bb20767a"},
-    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b952b3732c4631c49917d4b15d78cb4a2aa006c1d5c12e2a23ba8e18a307a055"},
-    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07227281e12071168e6ae59238918a56d2a0682e529f747b5431664f302c0b42"},
-    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8191241cd8934feaf4d05d0cc0e5e72877cbb17c53bbf8c92af9f1aedaa247e9"},
-    {file = "levenshtein-0.26.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9e70d7ee157a9b698c73014f6e2b160830e7d2d64d2e342fefc3079af3c356fc"},
-    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0eb3059f826f6cb0a5bca4a85928070f01e8202e7ccafcba94453470f83e49d4"},
-    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:6c389e44da12d6fb1d7ba0a709a32a96c9391e9be4160ccb9269f37e040599ee"},
-    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e9de292f2c51a7d34a0ae23bec05391b8f61f35781cd3e4c6d0533e06250c55"},
-    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d87215113259efdca8716e53b6d59ab6d6009e119d95d45eccc083148855f33"},
-    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18f00a3eebf68a82fb651d8d0e810c10bfaa60c555d21dde3ff81350c74fb4c2"},
-    {file = "levenshtein-0.26.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b3554c1b59de63d05075577380340c185ff41b028e541c0888fddab3c259a2b4"},
-    {file = "levenshtein-0.26.1.tar.gz", hash = "sha256:0d19ba22330d50609b2349021ec3cf7d905c6fe21195a2d0d876a146e7ed2575"},
-]
-
-[package.dependencies]
-rapidfuzz = ">=3.9.0,<4.0.0"
-
-[[package]]
-name = "litellm"
-version = "1.51.3"
-description = "Library to easily interface with LLM API providers"
-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 = "litellm-1.51.3-py3-none-any.whl", hash = "sha256:440d3c7cc5ab8eeb12cee8f4d806bff05b7db834ebc11117d7fa070a1142ced5"},
-    {file = "litellm-1.51.3.tar.gz", hash = "sha256:31eff9fcbf7b058bac0fd7432c4ea0487e8555f12446a1f30e5862e33716f44d"},
-]
-
-[package.dependencies]
-aiohttp = "*"
-click = "*"
-importlib-metadata = ">=6.8.0"
-jinja2 = ">=3.1.2,<4.0.0"
-jsonschema = ">=4.22.0,<5.0.0"
-openai = ">=1.52.0"
-pydantic = ">=2.0.0,<3.0.0"
-python-dotenv = ">=0.2.0"
-requests = ">=2.31.0,<3.0.0"
-tiktoken = ">=0.7.0"
-tokenizers = "*"
-
-[package.extras]
-extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
-proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
-
 [[package]]
 name = "llvmlite"
 version = "0.43.0"
@@ -5220,13 +5111,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.24.1"
+version = "3.23.2"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "marshmallow-3.24.1-py3-none-any.whl", hash = "sha256:ddb5c9987017d37be351c184e4e867e7bf55f7331f4da730dedad6b7af662cdd"},
-    {file = "marshmallow-3.24.1.tar.gz", hash = "sha256:efdcb656ac8788f0e3d1d938f8dc0f237bf1a99aff8f6dfbffa594981641cea0"},
+    {file = "marshmallow-3.23.2-py3-none-any.whl", hash = "sha256:bcaf2d6fd74fb1459f8450e85d994997ad3e70036452cbfa4ab685acb19479b3"},
+    {file = "marshmallow-3.23.2.tar.gz", hash = "sha256:c448ac6455ca4d794773f00bae22c2f351d62d739929f761dce5eacb5c468d7f"},
 ]
 
 [package.dependencies]
@@ -5234,7 +5125,7 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
-docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)"]
+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "simplejson"]
 
 [[package]]
@@ -5755,17 +5646,6 @@ files = [
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
 ]
 
-[[package]]
-name = "ndjson"
-version = "0.3.1"
-description = "JsonDecoder for ndjson"
-optional = false
-python-versions = "*"
-files = [
-    {file = "ndjson-0.3.1-py2.py3-none-any.whl", hash = "sha256:839c22275e6baa3040077b83c005ac24199b94973309a8a1809be962c753a410"},
-    {file = "ndjson-0.3.1.tar.gz", hash = "sha256:bf9746cb6bb1cb53d172cda7f154c07c786d665ff28341e4e689b796b229e5d6"},
-]
-
 [[package]]
 name = "nest-asyncio"
 version = "1.6.0"
@@ -6147,13 +6027,13 @@ files = [
 
 [[package]]
 name = "opencensus-ext-azure"
-version = "1.1.14"
+version = "1.1.13"
 description = "OpenCensus Azure Monitor Exporter"
 optional = false
 python-versions = "*"
 files = [
-    {file = "opencensus-ext-azure-1.1.14.tar.gz", hash = "sha256:c9c6ebad542aeb61813322e627d5889a563e7b8c4e024bf58469d06db73ab148"},
-    {file = "opencensus_ext_azure-1.1.14-py2.py3-none-any.whl", hash = "sha256:a1f6870d6e4e312832e6ebd95df28ed499ac637c36cbd77665fe06e24ddeb2f1"},
+    {file = "opencensus-ext-azure-1.1.13.tar.gz", hash = "sha256:aec30472177005379ba56a702a097d618c5f57558e1bb6676ec75f948130692a"},
+    {file = "opencensus_ext_azure-1.1.13-py2.py3-none-any.whl", hash = "sha256:06001fac6f8588ba00726a3a7c6c7f2fc88bc8ad12a65afdca657923085393dd"},
 ]
 
 [package.dependencies]
@@ -6393,31 +6273,6 @@ files = [
     {file = "opentelemetry_util_http-0.50b0.tar.gz", hash = "sha256:dc4606027e1bc02aabb9533cc330dd43f874fca492e4175c31d7154f341754af"},
 ]
 
-[[package]]
-name = "opik"
-version = "1.3.4"
-description = "Comet tool for logging and evaluating LLM traces"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "opik-1.3.4-py3-none-any.whl", hash = "sha256:c5e10a9f1fb18188471cce2ae8b841e8b187d04ee3b1aed01c643102bae588fb"},
-    {file = "opik-1.3.4.tar.gz", hash = "sha256:6013d3af4aea61f38b9e7121aa5d8cf4305a5ed3807b3f43d9ab91602b2a5785"},
-]
-
-[package.dependencies]
-click = "*"
-httpx = "<0.28.0"
-levenshtein = "<1.0.0"
-litellm = "*"
-openai = "<2.0.0"
-pydantic = ">=2.0.0,<3.0.0"
-pydantic-settings = ">=2.0.0,<3.0.0"
-pytest = "*"
-rich = "*"
-tenacity = "*"
-tqdm = "*"
-uuid6 = "*"
-
 [[package]]
 name = "oracledb"
 version = "2.2.1"
@@ -6938,13 +6793,13 @@ pydantic = ">=1.9,<3.0"
 
 [[package]]
 name = "posthog"
-version = "3.7.5"
+version = "3.7.4"
 description = "Integrate PostHog into any python application."
 optional = false
 python-versions = "*"
 files = [
-    {file = "posthog-3.7.5-py2.py3-none-any.whl", hash = "sha256:022132c17069dde03c5c5904e2ae1b9bd68d5059cbc5a8dffc5c1537a1b71cb5"},
-    {file = "posthog-3.7.5.tar.gz", hash = "sha256:8ba40ab623da35db72715fc87fe7dccb7fc272ced92581fe31db2d4dbe7ad761"},
+    {file = "posthog-3.7.4-py2.py3-none-any.whl", hash = "sha256:21c18c6bf43b2de303ea4cd6e95804cc0f24c20cb2a96a8fd09da2ed50b62faa"},
+    {file = "posthog-3.7.4.tar.gz", hash = "sha256:19384bd09d330f9787a7e2446aba14c8057ece56144970ea2791072d4e40cd36"},
 ]
 
 [package.dependencies]
@@ -6986,20 +6841,20 @@ dill = ["dill (>=0.3.9)"]
 
 [[package]]
 name = "primp"
-version = "0.10.0"
+version = "0.9.2"
 description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "primp-0.10.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:7a91a089bf2962b5b56c8d83d09535eb81cf55b53c09d83208b9e5a715cf2c17"},
-    {file = "primp-0.10.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:0128453cce81552f7aa6ac2bf9b8741b7816cdb2d10536e62c77daaf6483b9af"},
-    {file = "primp-0.10.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a959e9a83cff0ae7a85a02cc183e4db636f69ff41dddb7c4e32f997924923417"},
-    {file = "primp-0.10.0-cp38-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:8e711cfa019fa9bdc0cba4d5d596f319c884a4329e505bd73e92eee0b024061a"},
-    {file = "primp-0.10.0-cp38-abi3-manylinux_2_34_armv7l.whl", hash = "sha256:b859336d9a35669b68a29c5d8f050e0dca380452dabf6c9667bb8599f010d164"},
-    {file = "primp-0.10.0-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:dc875cc9a733fe3e6344a37f2b5888e0a9605bb37807fc3009f3b03786408f34"},
-    {file = "primp-0.10.0-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a27c5d997c37bf8237963c11e376eaa66e7eccee39164e3e259a1c3767c304d6"},
-    {file = "primp-0.10.0-cp38-abi3-win_amd64.whl", hash = "sha256:7fe94c3164c2efffff08f7f54c018ac445112961b3ce4f4f499315ba0a9d1ef3"},
-    {file = "primp-0.10.0.tar.gz", hash = "sha256:93142590a5a1958240ee5b74faaf2f55185ed499ccaabc622d71cb0cc8a47a0b"},
+    {file = "primp-0.9.2-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:a3179640e633be843ed5daba5c4e3086ad91f77c7bb40a9db06326f28d56b12b"},
+    {file = "primp-0.9.2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:94a5da8ba25f74152b43bc16a7591dfb5d7d30a5827dc0a0f96a956f7d3616be"},
+    {file = "primp-0.9.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0668c0abb6d56fc8b0a918179b1d0f68e7267c1dc632e2b683c618317e13143f"},
+    {file = "primp-0.9.2-cp38-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:a9c29a4b8eabfc28a1746d2fe93d33b9fcf2e81e642dd0e3eaecede60cc36b7d"},
+    {file = "primp-0.9.2-cp38-abi3-manylinux_2_34_armv7l.whl", hash = "sha256:04d499308a101b06b40f5fda1bdc795db5731cd0dfbb1a8873f4acd07c085b1d"},
+    {file = "primp-0.9.2-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:4cd5daf39034a0a8c96cdc0c4c306184c6f2b1b2a0b39dc3294d79ed28a6f7fe"},
+    {file = "primp-0.9.2-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:8d14653434837eb431b3cf7ca006647d7a196906e48bba96bb600ba2ba70bcdc"},
+    {file = "primp-0.9.2-cp38-abi3-win_amd64.whl", hash = "sha256:80d9f07564dc9b25b1a9676df770561418557c124fedecae84f6491a1974b61d"},
+    {file = "primp-0.9.2.tar.gz", hash = "sha256:5b95666c25b9107eab3c05a89cb7b1748d5122e57c57b25bfc3249d525c45300"},
 ]
 
 [package.extras]
@@ -7609,13 +7464,13 @@ files = [
 
 [[package]]
 name = "pygments"
-version = "2.19.1"
+version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
-    {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
+    {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
+    {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
 ]
 
 [package.extras]
@@ -7643,21 +7498,21 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pymilvus"
-version = "2.5.3"
+version = "2.4.9"
 description = "Python Sdk for Milvus"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pymilvus-2.5.3-py3-none-any.whl", hash = "sha256:64ca63594284586937274800be27a402f3be2d078130bf81d94ab8d7798ac9c8"},
-    {file = "pymilvus-2.5.3.tar.gz", hash = "sha256:68bc3797b7a14c494caf116cee888894ffd6eba7b96a3ac841be85d60694cc5d"},
+    {file = "pymilvus-2.4.9-py3-none-any.whl", hash = "sha256:45313607d2c164064bdc44e0f933cb6d6afa92e9efcc7f357c5240c57db58fbe"},
+    {file = "pymilvus-2.4.9.tar.gz", hash = "sha256:0937663700007c23a84cfc0656160b301f6ff9247aaec4c96d599a6b43572136"},
 ]
 
 [package.dependencies]
-grpcio = ">=1.49.1,<=1.67.1"
-milvus-lite = {version = ">=2.4.0", markers = "sys_platform != \"win32\""}
+environs = "<=9.5.0"
+grpcio = ">=1.49.1"
+milvus-lite = {version = ">=2.4.0,<2.5.0", markers = "sys_platform != \"win32\""}
 pandas = ">=1.2.4"
 protobuf = ">=3.20.0"
-python-dotenv = ">=1.0.1,<2.0.0"
 setuptools = ">69"
 ujson = ">=2.0.0"
 
@@ -8061,13 +7916,13 @@ typing-extensions = ">=4.9.0"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.1"
+version = "1.0.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
-    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
+    {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
+    {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
 ]
 
 [package.extras]
@@ -8846,29 +8701,29 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "ruff"
-version = "0.8.6"
+version = "0.8.5"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ruff-0.8.6-py3-none-linux_armv6l.whl", hash = "sha256:defed167955d42c68b407e8f2e6f56ba52520e790aba4ca707a9c88619e580e3"},
-    {file = "ruff-0.8.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:54799ca3d67ae5e0b7a7ac234baa657a9c1784b48ec954a094da7c206e0365b1"},
-    {file = "ruff-0.8.6-py3-none-macosx_11_0_arm64.whl", hash = "sha256:e88b8f6d901477c41559ba540beeb5a671e14cd29ebd5683903572f4b40a9807"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0509e8da430228236a18a677fcdb0c1f102dd26d5520f71f79b094963322ed25"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:91a7ddb221779871cf226100e677b5ea38c2d54e9e2c8ed847450ebbdf99b32d"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:248b1fb3f739d01d528cc50b35ee9c4812aa58cc5935998e776bf8ed5b251e75"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:bc3c083c50390cf69e7e1b5a5a7303898966be973664ec0c4a4acea82c1d4315"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:52d587092ab8df308635762386f45f4638badb0866355b2b86760f6d3c076188"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:61323159cf21bc3897674e5adb27cd9e7700bab6b84de40d7be28c3d46dc67cf"},
-    {file = "ruff-0.8.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ae4478b1471fc0c44ed52a6fb787e641a2ac58b1c1f91763bafbc2faddc5117"},
-    {file = "ruff-0.8.6-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:0c000a471d519b3e6cfc9c6680025d923b4ca140ce3e4612d1a2ef58e11f11fe"},
-    {file = "ruff-0.8.6-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:9257aa841e9e8d9b727423086f0fa9a86b6b420fbf4bf9e1465d1250ce8e4d8d"},
-    {file = "ruff-0.8.6-py3-none-musllinux_1_2_i686.whl", hash = "sha256:45a56f61b24682f6f6709636949ae8cc82ae229d8d773b4c76c09ec83964a95a"},
-    {file = "ruff-0.8.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:496dd38a53aa173481a7d8866bcd6451bd934d06976a2505028a50583e001b76"},
-    {file = "ruff-0.8.6-py3-none-win32.whl", hash = "sha256:e169ea1b9eae61c99b257dc83b9ee6c76f89042752cb2d83486a7d6e48e8f764"},
-    {file = "ruff-0.8.6-py3-none-win_amd64.whl", hash = "sha256:f1d70bef3d16fdc897ee290d7d20da3cbe4e26349f62e8a0274e7a3f4ce7a905"},
-    {file = "ruff-0.8.6-py3-none-win_arm64.whl", hash = "sha256:7d7fc2377a04b6e04ffe588caad613d0c460eb2ecba4c0ccbbfe2bc973cbc162"},
-    {file = "ruff-0.8.6.tar.gz", hash = "sha256:dcad24b81b62650b0eb8814f576fc65cfee8674772a6e24c9b747911801eeaa5"},
+    {file = "ruff-0.8.5-py3-none-linux_armv6l.whl", hash = "sha256:5ad11a5e3868a73ca1fa4727fe7e33735ea78b416313f4368c504dbeb69c0f88"},
+    {file = "ruff-0.8.5-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:f69ab37771ea7e0715fead8624ec42996d101269a96e31f4d31be6fc33aa19b7"},
+    {file = "ruff-0.8.5-py3-none-macosx_11_0_arm64.whl", hash = "sha256:b5462d7804558ccff9c08fe8cbf6c14b7efe67404316696a2dde48297b1925bb"},
+    {file = "ruff-0.8.5-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d56de7220a35607f9fe59f8a6d018e14504f7b71d784d980835e20fc0611cd50"},
+    {file = "ruff-0.8.5-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9d99cf80b0429cbebf31cbbf6f24f05a29706f0437c40413d950e67e2d4faca4"},
+    {file = "ruff-0.8.5-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7b75ac29715ac60d554a049dbb0ef3b55259076181c3369d79466cb130eb5afd"},
+    {file = "ruff-0.8.5-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:c9d526a62c9eda211b38463528768fd0ada25dad524cb33c0e99fcff1c67b5dc"},
+    {file = "ruff-0.8.5-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:587c5e95007612c26509f30acc506c874dab4c4abbacd0357400bd1aa799931b"},
+    {file = "ruff-0.8.5-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:622b82bf3429ff0e346835ec213aec0a04d9730480cbffbb6ad9372014e31bbd"},
+    {file = "ruff-0.8.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f99be814d77a5dac8a8957104bdd8c359e85c86b0ee0e38dca447cb1095f70fb"},
+    {file = "ruff-0.8.5-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:c01c048f9c3385e0fd7822ad0fd519afb282af9cf1778f3580e540629df89725"},
+    {file = "ruff-0.8.5-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:7512e8cb038db7f5db6aae0e24735ff9ea03bb0ed6ae2ce534e9baa23c1dc9ea"},
+    {file = "ruff-0.8.5-py3-none-musllinux_1_2_i686.whl", hash = "sha256:762f113232acd5b768d6b875d16aad6b00082add40ec91c927f0673a8ec4ede8"},
+    {file = "ruff-0.8.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:03a90200c5dfff49e4c967b405f27fdfa81594cbb7c5ff5609e42d7fe9680da5"},
+    {file = "ruff-0.8.5-py3-none-win32.whl", hash = "sha256:8710ffd57bdaa6690cbf6ecff19884b8629ec2a2a2a2f783aa94b1cc795139ed"},
+    {file = "ruff-0.8.5-py3-none-win_amd64.whl", hash = "sha256:4020d8bf8d3a32325c77af452a9976a9ad6455773bcb94991cf15bd66b347e47"},
+    {file = "ruff-0.8.5-py3-none-win_arm64.whl", hash = "sha256:134ae019ef13e1b060ab7136e7828a6d83ea727ba123381307eb37c6bd5e01cb"},
+    {file = "ruff-0.8.5.tar.gz", hash = "sha256:1098d36f69831f7ff2a1da3e6407d5fbd6dfa2559e4f74ff2d260c5588900317"},
 ]
 
 [[package]]
@@ -9150,60 +9005,53 @@ tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (
 
 [[package]]
 name = "scipy"
-version = "1.15.0"
+version = "1.14.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "scipy-1.15.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:aeac60d3562a7bf2f35549bdfdb6b1751c50590f55ce7322b4b2fc821dc27fca"},
-    {file = "scipy-1.15.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5abbdc6ede5c5fed7910cf406a948e2c0869231c0db091593a6b2fa78be77e5d"},
-    {file = "scipy-1.15.0-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:eb1533c59f0ec6c55871206f15a5c72d1fae7ad3c0a8ca33ca88f7c309bbbf8c"},
-    {file = "scipy-1.15.0-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:de112c2dae53107cfeaf65101419662ac0a54e9a088c17958b51c95dac5de56d"},
-    {file = "scipy-1.15.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2240e1fd0782e62e1aacdc7234212ee271d810f67e9cd3b8d521003a82603ef8"},
-    {file = "scipy-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d35aef233b098e4de88b1eac29f0df378278e7e250a915766786b773309137c4"},
-    {file = "scipy-1.15.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1b29e4fc02e155a5fd1165f1e6a73edfdd110470736b0f48bcbe48083f0eee37"},
-    {file = "scipy-1.15.0-cp310-cp310-win_amd64.whl", hash = "sha256:0e5b34f8894f9904cc578008d1a9467829c1817e9f9cb45e6d6eeb61d2ab7731"},
-    {file = "scipy-1.15.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:46e91b5b16909ff79224b56e19cbad65ca500b3afda69225820aa3afbf9ec020"},
-    {file = "scipy-1.15.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:82bff2eb01ccf7cea8b6ee5274c2dbeadfdac97919da308ee6d8e5bcbe846443"},
-    {file = "scipy-1.15.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:9c8254fe21dd2c6c8f7757035ec0c31daecf3bb3cffd93bc1ca661b731d28136"},
-    {file = "scipy-1.15.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:c9624eeae79b18cab1a31944b5ef87aa14b125d6ab69b71db22f0dbd962caf1e"},
-    {file = "scipy-1.15.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d13bbc0658c11f3d19df4138336e4bce2c4fbd78c2755be4bf7b8e235481557f"},
-    {file = "scipy-1.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bdca4c7bb8dc41307e5f39e9e5d19c707d8e20a29845e7533b3bb20a9d4ccba0"},
-    {file = "scipy-1.15.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6f376d7c767731477bac25a85d0118efdc94a572c6b60decb1ee48bf2391a73b"},
-    {file = "scipy-1.15.0-cp311-cp311-win_amd64.whl", hash = "sha256:61513b989ee8d5218fbeb178b2d51534ecaddba050db949ae99eeb3d12f6825d"},
-    {file = "scipy-1.15.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5beb0a2200372b7416ec73fdae94fe81a6e85e44eb49c35a11ac356d2b8eccc6"},
-    {file = "scipy-1.15.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:fde0f3104dfa1dfbc1f230f65506532d0558d43188789eaf68f97e106249a913"},
-    {file = "scipy-1.15.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:35c68f7044b4e7ad73a3e68e513dda946989e523df9b062bd3cf401a1a882192"},
-    {file = "scipy-1.15.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:52475011be29dfcbecc3dfe3060e471ac5155d72e9233e8d5616b84e2b542054"},
-    {file = "scipy-1.15.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5972e3f96f7dda4fd3bb85906a17338e65eaddfe47f750e240f22b331c08858e"},
-    {file = "scipy-1.15.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe00169cf875bed0b3c40e4da45b57037dc21d7c7bf0c85ed75f210c281488f1"},
-    {file = "scipy-1.15.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:161f80a98047c219c257bf5ce1777c574bde36b9d962a46b20d0d7e531f86863"},
-    {file = "scipy-1.15.0-cp312-cp312-win_amd64.whl", hash = "sha256:327163ad73e54541a675240708244644294cb0a65cca420c9c79baeb9648e479"},
-    {file = "scipy-1.15.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0fcb16eb04d84670722ce8d93b05257df471704c913cb0ff9dc5a1c31d1e9422"},
-    {file = "scipy-1.15.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:767e8cf6562931f8312f4faa7ddea412cb783d8df49e62c44d00d89f41f9bbe8"},
-    {file = "scipy-1.15.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:37ce9394cdcd7c5f437583fc6ef91bd290014993900643fdfc7af9b052d1613b"},
-    {file = "scipy-1.15.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:6d26f17c64abd6c6c2dfb39920f61518cc9e213d034b45b2380e32ba78fde4c0"},
-    {file = "scipy-1.15.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e2448acd79c6374583581a1ded32ac71a00c2b9c62dfa87a40e1dd2520be111"},
-    {file = "scipy-1.15.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36be480e512d38db67f377add5b759fb117edd987f4791cdf58e59b26962bee4"},
-    {file = "scipy-1.15.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ccb6248a9987193fe74363a2d73b93bc2c546e0728bd786050b7aef6e17db03c"},
-    {file = "scipy-1.15.0-cp313-cp313-win_amd64.whl", hash = "sha256:952d2e9eaa787f0a9e95b6e85da3654791b57a156c3e6609e65cc5176ccfe6f2"},
-    {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"},
-    {file = "scipy-1.15.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:351899dd2a801edd3691622172bc8ea01064b1cada794f8641b89a7dc5418db6"},
-    {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"},
+    {file = "scipy-1.14.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:b28d2ca4add7ac16ae8bb6632a3c86e4b9e4d52d3e34267f6e1b0c1f8d87e389"},
+    {file = "scipy-1.14.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d0d2821003174de06b69e58cef2316a6622b60ee613121199cb2852a873f8cf3"},
+    {file = "scipy-1.14.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:8bddf15838ba768bb5f5083c1ea012d64c9a444e16192762bd858f1e126196d0"},
+    {file = "scipy-1.14.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:97c5dddd5932bd2a1a31c927ba5e1463a53b87ca96b5c9bdf5dfd6096e27efc3"},
+    {file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ff0a7e01e422c15739ecd64432743cf7aae2b03f3084288f399affcefe5222d"},
+    {file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e32dced201274bf96899e6491d9ba3e9a5f6b336708656466ad0522d8528f69"},
+    {file = "scipy-1.14.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8426251ad1e4ad903a4514712d2fa8fdd5382c978010d1c6f5f37ef286a713ad"},
+    {file = "scipy-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:a49f6ed96f83966f576b33a44257d869756df6cf1ef4934f59dd58b25e0327e5"},
+    {file = "scipy-1.14.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:2da0469a4ef0ecd3693761acbdc20f2fdeafb69e6819cc081308cc978153c675"},
+    {file = "scipy-1.14.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:c0ee987efa6737242745f347835da2cc5bb9f1b42996a4d97d5c7ff7928cb6f2"},
+    {file = "scipy-1.14.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3a1b111fac6baec1c1d92f27e76511c9e7218f1695d61b59e05e0fe04dc59617"},
+    {file = "scipy-1.14.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8475230e55549ab3f207bff11ebfc91c805dc3463ef62eda3ccf593254524ce8"},
+    {file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:278266012eb69f4a720827bdd2dc54b2271c97d84255b2faaa8f161a158c3b37"},
+    {file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fef8c87f8abfb884dac04e97824b61299880c43f4ce675dd2cbeadd3c9b466d2"},
+    {file = "scipy-1.14.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b05d43735bb2f07d689f56f7b474788a13ed8adc484a85aa65c0fd931cf9ccd2"},
+    {file = "scipy-1.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:716e389b694c4bb564b4fc0c51bc84d381735e0d39d3f26ec1af2556ec6aad94"},
+    {file = "scipy-1.14.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:631f07b3734d34aced009aaf6fedfd0eb3498a97e581c3b1e5f14a04164a456d"},
+    {file = "scipy-1.14.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:af29a935803cc707ab2ed7791c44288a682f9c8107bc00f0eccc4f92c08d6e07"},
+    {file = "scipy-1.14.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2843f2d527d9eebec9a43e6b406fb7266f3af25a751aa91d62ff416f54170bc5"},
+    {file = "scipy-1.14.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:eb58ca0abd96911932f688528977858681a59d61a7ce908ffd355957f7025cfc"},
+    {file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30ac8812c1d2aab7131a79ba62933a2a76f582d5dbbc695192453dae67ad6310"},
+    {file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f9ea80f2e65bdaa0b7627fb00cbeb2daf163caa015e59b7516395fe3bd1e066"},
+    {file = "scipy-1.14.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:edaf02b82cd7639db00dbff629995ef185c8df4c3ffa71a5562a595765a06ce1"},
+    {file = "scipy-1.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:2ff38e22128e6c03ff73b6bb0f85f897d2362f8c052e3b8ad00532198fbdae3f"},
+    {file = "scipy-1.14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1729560c906963fc8389f6aac023739ff3983e727b1a4d87696b7bf108316a79"},
+    {file = "scipy-1.14.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:4079b90df244709e675cdc8b93bfd8a395d59af40b72e339c2287c91860deb8e"},
+    {file = "scipy-1.14.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:e0cf28db0f24a38b2a0ca33a85a54852586e43cf6fd876365c86e0657cfe7d73"},
+    {file = "scipy-1.14.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0c2f95de3b04e26f5f3ad5bb05e74ba7f68b837133a4492414b3afd79dfe540e"},
+    {file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b99722ea48b7ea25e8e015e8341ae74624f72e5f21fc2abd45f3a93266de4c5d"},
+    {file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5149e3fd2d686e42144a093b206aef01932a0059c2a33ddfa67f5f035bdfe13e"},
+    {file = "scipy-1.14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4f5a7c49323533f9103d4dacf4e4f07078f360743dec7f7596949149efeec06"},
+    {file = "scipy-1.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:baff393942b550823bfce952bb62270ee17504d02a1801d7fd0719534dfb9c84"},
+    {file = "scipy-1.14.1.tar.gz", hash = "sha256:5a275584e726026a5699459aa72f828a610821006228e841b94275c4a7c08417"},
 ]
 
 [package.dependencies]
-numpy = ">=1.23.5,<2.5"
+numpy = ">=1.23.5,<2.3"
 
 [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 = ["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,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+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)"]
+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"]
 
 [[package]]
 name = "sentry-sdk"
@@ -9257,23 +9105,23 @@ tornado = ["tornado (>=5)"]
 
 [[package]]
 name = "setuptools"
-version = "75.7.0"
+version = "75.6.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "setuptools-75.7.0-py3-none-any.whl", hash = "sha256:84fb203f278ebcf5cd08f97d3fb96d3fbed4b629d500b29ad60d11e00769b183"},
-    {file = "setuptools-75.7.0.tar.gz", hash = "sha256:886ff7b16cd342f1d1defc16fc98c9ce3fde69e087a4e1983d7ab634e5f41f4f"},
+    {file = "setuptools-75.6.0-py3-none-any.whl", hash = "sha256:ce74b49e8f7110f9bf04883b730f4765b774ef3ef28f722cce7c273d253aaf7d"},
+    {file = "setuptools-75.6.0.tar.gz", hash = "sha256:8199222558df7c86216af4f84c30e9b34a61d8ba19366cc914424cdbd28252f6"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.7.0)"]
 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 (>=3.7.2)", "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 (==1.14.*)", "pytest-mypy"]
+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)"]
+type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (>=1.12,<1.14)", "pytest-mypy"]
 
 [[package]]
 name = "sgmllib3k"
@@ -9684,13 +9532,13 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "tencentcloud-sdk-python-common"
-version = "3.0.1298"
+version = "3.0.1294"
 description = "Tencent Cloud Common SDK for Python"
 optional = false
 python-versions = "*"
 files = [
-    {file = "tencentcloud-sdk-python-common-3.0.1298.tar.gz", hash = "sha256:0f0f182410c1ceda5764ff8bcbef27aa6139caf1c5f5985d94ec731a41c8a59f"},
-    {file = "tencentcloud_sdk_python_common-3.0.1298-py2.py3-none-any.whl", hash = "sha256:c80929a0ff57ebee4ceec749dc82d5f2d1105b888e55175a7e9c722afc3a5d7a"},
+    {file = "tencentcloud-sdk-python-common-3.0.1294.tar.gz", hash = "sha256:a6d079690b69d60e8bfd1e27a65138e36d7f6cc57de7e7549c45a6084bc4743c"},
+    {file = "tencentcloud_sdk_python_common-3.0.1294-py2.py3-none-any.whl", hash = "sha256:bc43fb56e6a9d0f825d74f1cbdf159e0417ff3f4b59b9c75a73eeb6526259329"},
 ]
 
 [package.dependencies]
@@ -9698,17 +9546,17 @@ requests = ">=2.16.0"
 
 [[package]]
 name = "tencentcloud-sdk-python-hunyuan"
-version = "3.0.1298"
+version = "3.0.1294"
 description = "Tencent Cloud Hunyuan SDK for Python"
 optional = false
 python-versions = "*"
 files = [
-    {file = "tencentcloud-sdk-python-hunyuan-3.0.1298.tar.gz", hash = "sha256:c3d86a577de02046d25682a3804955453555fa641082bb8765238460bded3f03"},
-    {file = "tencentcloud_sdk_python_hunyuan-3.0.1298-py2.py3-none-any.whl", hash = "sha256:f01e33318b6a4152ac88c500fda77f2cda1864eeca000cdd29c41e4f92f8de65"},
+    {file = "tencentcloud-sdk-python-hunyuan-3.0.1294.tar.gz", hash = "sha256:ca7463b26e54bd4dc922c5bce24f728b9fed1494d55a3a0a76594db74f347657"},
+    {file = "tencentcloud_sdk_python_hunyuan-3.0.1294-py2.py3-none-any.whl", hash = "sha256:b53ea5c7880623d649eb235a2a6865312db1276b03bf21d9520d2136d14dadf4"},
 ]
 
 [package.dependencies]
-tencentcloud-sdk-python-common = "3.0.1298"
+tencentcloud-sdk-python-common = "3.0.1294"
 
 [[package]]
 name = "termcolor"
@@ -10259,13 +10107,13 @@ files = [
 
 [[package]]
 name = "unstructured"
-version = "0.16.12"
+version = "0.16.11"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
 python-versions = "<3.13,>=3.9.0"
 files = [
-    {file = "unstructured-0.16.12-py3-none-any.whl", hash = "sha256:bcac29ac1b38fba4228c5a1a7721d1aa7c48220f7c1dd43b563645c56e978c49"},
-    {file = "unstructured-0.16.12.tar.gz", hash = "sha256:c3133731c6edb9c2f474e62cb2b560cd0a8d578c4532ec14d8c0941e401770b0"},
+    {file = "unstructured-0.16.11-py3-none-any.whl", hash = "sha256:a92d5bc2c2b7bb23369641fb7a7f0daba1775639199306ce4cd83ca564a03763"},
+    {file = "unstructured-0.16.11.tar.gz", hash = "sha256:33ebf68aae11ce33c8a96335296557b5abd8ba96eaba3e5a1554c0b9eee40bb5"},
 ]
 
 [package.dependencies]
@@ -10279,7 +10127,6 @@ html5lib = "*"
 langdetect = "*"
 lxml = "*"
 markdown = {version = "*", optional = true, markers = "extra == \"md\""}
-ndjson = "*"
 nltk = "*"
 numpy = "<2"
 psutil = "*"
@@ -10383,17 +10230,6 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "uuid6"
-version = "2024.7.10"
-description = "New time-based UUID formats which are suited for use as a database key"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "uuid6-2024.7.10-py3-none-any.whl", hash = "sha256:93432c00ba403751f722829ad21759ff9db051dea140bf81493271e8e4dd18b7"},
-    {file = "uuid6-2024.7.10.tar.gz", hash = "sha256:2d29d7f63f593caaeea0e0d0dd0ad8129c9c663b29e19bdf882e864bedf18fb0"},
-]
-
 [[package]]
 name = "uvicorn"
 version = "0.34.0"
@@ -11162,13 +10998,13 @@ requests = "*"
 
 [[package]]
 name = "zhipuai"
-version = "2.1.5.20250106"
+version = "2.1.5.20241204"
 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-2.1.5.20250106-py3-none-any.whl", hash = "sha256:ca76095f32db501e36038fc1ac4b287b88ed90c4cdd28902d3b1a9365fff879b"},
-    {file = "zhipuai-2.1.5.20250106.tar.gz", hash = "sha256:45d391be336a210b360f126443f07882fa6d8184a148c46a8c7d0b7607d6d1f8"},
+    {file = "zhipuai-2.1.5.20241204-py3-none-any.whl", hash = "sha256:063c7527d6741ced82eedb19d53fd24ce61cf43ab835ee3c0262843f59503a7c"},
+    {file = "zhipuai-2.1.5.20241204.tar.gz", hash = "sha256:888b42a83c8f1daf07375b84e560219eedab96b9f9e59542f0329928291db635"},
 ]
 
 [package.dependencies]
@@ -11384,4 +11220,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.13"
-content-hash = "3bb0ce64c87712cf105c75105a0ca75c0523d6b27001ff6a623bb2a0d1343003"
+content-hash = "8c74132f2fe0b8dc7318bfbfb1bd3dbf7cd2ecfd4fc430c8924b46edacc8d33e"

api/pyproject.toml

@@ -59,7 +59,6 @@ numpy = "~1.26.4"
 oci = "~2.135.1"
 openai = "~1.52.0"
 openpyxl = "~3.1.5"
-opik = "~1.3.4"
 pandas = { version = "~2.2.2", extras = ["performance", "excel"] }
 pandas-stubs = "~2.2.3.241009"
 psycogreen = "~1.0.2"
@@ -72,7 +71,7 @@ pyjwt = "~2.8.0"
 pypdfium2 = "~4.30.0"
 python = ">=3.11,<3.13"
 python-docx = "~1.1.0"
-python-dotenv = "1.0.1"
+python-dotenv = "1.0.0"
 pyyaml = "~6.0.1"
 readabilipy = "0.2.0"
 redis = { version = "~5.0.3", extras = ["hiredis"] }
@@ -158,7 +157,7 @@ opensearch-py = "2.4.0"
 oracledb = "~2.2.1"
 pgvecto-rs = { version = "~0.2.1", extras = ['sqlalchemy'] }
 pgvector = "0.2.5"
-pymilvus = "~2.5.0"
+pymilvus = "~2.4.4"
 pymochow = "1.3.1"
 pyobvector = "~0.1.6"
 qdrant-client = "1.7.3"

api/services/annotation_service.py

@@ -286,7 +286,7 @@ class AppAnnotationService:
             df = pd.read_csv(file)
             result = []
             for index, row in df.iterrows():
-                content = {"question": row.iloc[0], "answer": row.iloc[1]}
+                content = {"question": row[0], "answer": row[1]}
                 result.append(content)
             if len(result) == 0:
                 raise ValueError("The CSV file is empty.")

api/services/app_dsl_service.py

@@ -1,7 +1,7 @@
 import logging
 import uuid
 from enum import StrEnum
-from typing import Optional
+from typing import Optional, cast
 from urllib.parse import urlparse
 from uuid import uuid4
 
@@ -139,6 +139,15 @@ class AppDslService:
                         status=ImportStatus.FAILED,
                         error="Empty content from url",
                     )
+
+                try:
+                    content = cast(bytes, content).decode("utf-8")
+                except UnicodeDecodeError as e:
+                    return Import(
+                        id=import_id,
+                        status=ImportStatus.FAILED,
+                        error=f"Error decoding content: {e}",
+                    )
             except Exception as e:
                 return Import(
                     id=import_id,

api/services/audio_service.py

@@ -82,7 +82,7 @@ class AudioService:
         from app import app
         from extensions.ext_database import db
 
-        def invoke_tts(text_content: str, app_model: App, voice: Optional[str] = None):
+        def invoke_tts(text_content: str, app_model, voice: Optional[str] = None):
             with app.app_context():
                 if app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
                     workflow = app_model.workflow
@@ -95,8 +95,6 @@ class AudioService:
 
                     voice = features_dict["text_to_speech"].get("voice") if voice is None else voice
                 else:
-                    if app_model.app_model_config is None:
-                        raise ValueError("AppModelConfig not found")
                     text_to_speech_dict = app_model.app_model_config.text_to_speech_dict
 
                     if not text_to_speech_dict.get("enabled"):

api/services/billing_service.py

@@ -1,5 +1,5 @@
 import os
-from typing import Literal, Optional
+from typing import Optional
 
 import httpx
 from tenacity import retry, retry_if_exception_type, stop_before_delay, wait_fixed
@@ -17,6 +17,7 @@ class BillingService:
         params = {"tenant_id": tenant_id}
 
         billing_info = cls._send_request("GET", "/subscription/info", params=params)
+
         return billing_info
 
     @classmethod
@@ -46,13 +47,12 @@ class BillingService:
         retry=retry_if_exception_type(httpx.RequestError),
         reraise=True,
     )
-    def _send_request(cls, method: Literal["GET", "POST", "DELETE"], endpoint: str, json=None, params=None):
+    def _send_request(cls, method, endpoint, json=None, params=None):
         headers = {"Content-Type": "application/json", "Billing-Api-Secret-Key": cls.secret_key}
 
         url = f"{cls.base_url}{endpoint}"
         response = httpx.request(method, url, json=json, params=params, headers=headers)
-        if method == "GET" and response.status_code != httpx.codes.OK:
-            raise ValueError("Unable to retrieve billing information. Please try again later or contact support.")
+
         return response.json()
 
     @staticmethod

api/services/dataset_service.py

@@ -71,7 +71,7 @@ from tasks.sync_website_document_indexing_task import sync_website_document_inde
 
 class DatasetService:
     @staticmethod
-    def get_datasets(page, per_page, tenant_id=None, user=None, search=None, tag_ids=None, include_all=False):
+    def get_datasets(page, per_page, tenant_id=None, user=None, search=None, tag_ids=None):
         query = Dataset.query.filter(Dataset.tenant_id == tenant_id).order_by(Dataset.created_at.desc())
 
         if user:
@@ -86,7 +86,7 @@ class DatasetService:
                 else:
                     return [], 0
             else:
-                if user.current_role != TenantAccountRole.OWNER or not include_all:
+                if user.current_role not in (TenantAccountRole.OWNER, TenantAccountRole.ADMIN):
                     # show all datasets that the user has permission to access
                     if permitted_dataset_ids:
                         query = query.filter(
@@ -382,7 +382,7 @@ class DatasetService:
         if dataset.tenant_id != user.current_tenant_id:
             logging.debug(f"User {user.id} does not have permission to access dataset {dataset.id}")
             raise NoPermissionError("You do not have permission to access this dataset.")
-        if user.current_role != TenantAccountRole.OWNER:
+        if user.current_role not in (TenantAccountRole.OWNER, TenantAccountRole.ADMIN):
             if dataset.permission == DatasetPermissionEnum.ONLY_ME and dataset.created_by != user.id:
                 logging.debug(f"User {user.id} does not have permission to access dataset {dataset.id}")
                 raise NoPermissionError("You do not have permission to access this dataset.")
@@ -404,7 +404,7 @@ class DatasetService:
         if not user:
             raise ValueError("User not found")
 
-        if user.current_role != TenantAccountRole.OWNER:
+        if user.current_role not in (TenantAccountRole.OWNER, TenantAccountRole.ADMIN):
             if dataset.permission == DatasetPermissionEnum.ONLY_ME:
                 if dataset.created_by != user.id:
                     raise NoPermissionError("You do not have permission to access this dataset.")
@@ -792,19 +792,13 @@ 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_provider = embedding_model.provider
-                dataset.embedding_model = dataset_embedding_model
-                dataset.embedding_model_provider = dataset_embedding_model_provider
+                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_provider = embedding_model.provider
                 dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding(
-                    dataset_embedding_model_provider, dataset_embedding_model
+                    embedding_model.provider, embedding_model.model
                 )
                 dataset.collection_binding_id = dataset_collection_binding.id
                 if not dataset.retrieval_model:
@@ -816,11 +810,7 @@ class DocumentService:
                         "score_threshold_enabled": False,
                     }
 
-                    dataset.retrieval_model = (
-                        knowledge_config.retrieval_model.model_dump()
-                        if knowledge_config.retrieval_model
-                        else default_retrieval_model
-                    )  # type: ignore
+                    dataset.retrieval_model = knowledge_config.retrieval_model.model_dump() or default_retrieval_model  # type: ignore
 
         documents = []
         if knowledge_config.original_document_id:

api/services/ops_service.py

@@ -59,15 +59,6 @@ class OpsService:
             except Exception:
                 new_decrypt_tracing_config.update({"project_url": "https://smith.langchain.com/"})
 
-        if tracing_provider == "opik" and (
-            "project_url" not in decrypt_tracing_config or not decrypt_tracing_config.get("project_url")
-        ):
-            try:
-                project_url = OpsTraceManager.get_trace_config_project_url(decrypt_tracing_config, tracing_provider)
-                new_decrypt_tracing_config.update({"project_url": project_url})
-            except Exception:
-                new_decrypt_tracing_config.update({"project_url": "https://www.comet.com/opik/"})
-
         trace_config_data.tracing_config = new_decrypt_tracing_config
         return trace_config_data.to_dict()
 
@@ -101,7 +92,7 @@ class OpsService:
         if tracing_provider == "langfuse":
             project_key = OpsTraceManager.get_trace_config_project_key(tracing_config, tracing_provider)
             project_url = "{host}/project/{key}".format(host=tracing_config.get("host"), key=project_key)
-        elif tracing_provider in ("langsmith", "opik"):
+        elif tracing_provider == "langsmith":
             project_url = OpsTraceManager.get_trace_config_project_url(tracing_config, tracing_provider)
         else:
             project_url = None

api/tasks/batch_create_segment_to_index_task.py

@@ -77,8 +77,8 @@ def batch_create_segment_to_index_task(
                 index_node_id=doc_id,
                 index_node_hash=segment_hash,
                 position=max_position + 1 if max_position else 1,
-                content=content_str,
-                word_count=len(content_str),
+                content=content,
+                word_count=len(content),
                 tokens=tokens,
                 created_by=user_id,
                 indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),

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 or IndexType.PARAGRAPH_INDEX
+        index_type = dataset.doc_form
         index_processor = IndexProcessorFactory(index_type).init_index_processor()
         if action == "remove":
             index_processor.clean(dataset, None, with_keywords=False)
@@ -157,9 +157,6 @@ 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/controllers/test_controllers.py

@@ -4,6 +4,7 @@ from app_fixture import mock_user  # type: ignore
 
 
 def test_post_requires_login(app):
-    with app.test_client() as client, patch("flask_login.utils._get_user", mock_user):
-        response = client.get("/console/api/data-source/integrates")
-        assert response.status_code == 200
+    with app.test_client() as client:
+        with patch("flask_login.utils._get_user", mock_user):
+            response = client.get("/console/api/data-source/integrates")
+            assert response.status_code == 200

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

@@ -19,9 +19,9 @@ class MilvusVectorTest(AbstractVectorTest):
         )
 
     def search_by_full_text(self):
-        # milvus support BM25 full text search after version 2.5.0-beta
+        # milvus dos not support full text searching yet in < 2.3.x
         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-legacy/docker-compose.yaml

@@ -2,7 +2,7 @@ version: '3'
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.14.2
     restart: always
     environment:
       # Startup mode, 'api' starts the API server.
@@ -227,7 +227,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.14.2
     restart: always
     environment:
       CONSOLE_WEB_URL: ''
@@ -397,7 +397,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.1
+    image: langgenius/dify-web:0.14.2
     restart: always
     environment:
       # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is

docker/.env.example

@@ -126,13 +126,10 @@ DIFY_PORT=5001
 # The number of API server workers, i.e., the number of workers.
 # Formula: number of cpu cores x 2 + 1 for sync, 1 for Gevent
 # Reference: https://docs.gunicorn.org/en/stable/design.html#how-many-workers
-SERVER_WORKER_AMOUNT=1
+SERVER_WORKER_AMOUNT=
 
 # Defaults to gevent. If using windows, it can be switched to sync or solo.
-SERVER_WORKER_CLASS=gevent
-
-# Default number of worker connections, the default is 10.
-SERVER_WORKER_CONNECTIONS=10
+SERVER_WORKER_CLASS=
 
 # Similar to SERVER_WORKER_CLASS.
 # If using windows, it can be switched to sync or solo.
@@ -383,7 +380,7 @@ SUPABASE_URL=your-server-url
 # ------------------------------
 
 # The type of vector store to use.
-# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `tidb_vector`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`, `oceanbase`.
+# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `tidb_vector`, `oracle`, `tencent`, `elasticsearch`, `analyticdb`, `couchbase`, `vikingdb`, `oceanbase`.
 VECTOR_STORE=weaviate
 
 # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`.
@@ -403,7 +400,6 @@ 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:
@@ -930,5 +926,3 @@ CREATE_TIDB_SERVICE_JOB_ENABLED=false
 # Maximum number of submitted thread count in a ThreadPool for parallel node execution
 MAX_SUBMIT_COUNT=100
 
-# The maximum number of top-k value for RAG.
-TOP_K_MAX_VALUE=10

docker/docker-compose-template.yaml

@@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.14.2
     restart: always
     environment:
       # Use the shared environment variables.
@@ -25,7 +25,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.14.2
     restart: always
     environment:
       # Use the shared environment variables.
@@ -47,7 +47,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.1
+    image: langgenius/dify-web:0.14.2
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
@@ -409,7 +409,7 @@ services:
 
   milvus-standalone:
     container_name: milvus-standalone
-    image: milvusdb/milvus:v2.5.0-beta
+    image: milvusdb/milvus:v2.3.1
     profiles:
       - milvus
     command: [ 'milvus', 'run', 'standalone' ]
@@ -493,28 +493,20 @@ 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: basic
+      xpack.license.self_generated.type: trial
       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

@@ -32,9 +32,8 @@ x-shared-env: &shared-api-worker-env
   APP_MAX_EXECUTION_TIME: ${APP_MAX_EXECUTION_TIME:-1200}
   DIFY_BIND_ADDRESS: ${DIFY_BIND_ADDRESS:-0.0.0.0}
   DIFY_PORT: ${DIFY_PORT:-5001}
-  SERVER_WORKER_AMOUNT: ${SERVER_WORKER_AMOUNT:-1}
-  SERVER_WORKER_CLASS: ${SERVER_WORKER_CLASS:-gevent}
-  SERVER_WORKER_CONNECTIONS: ${SERVER_WORKER_CONNECTIONS:-10}
+  SERVER_WORKER_AMOUNT: ${SERVER_WORKER_AMOUNT:-}
+  SERVER_WORKER_CLASS: ${SERVER_WORKER_CLASS:-}
   CELERY_WORKER_CLASS: ${CELERY_WORKER_CLASS:-}
   GUNICORN_TIMEOUT: ${GUNICORN_TIMEOUT:-360}
   CELERY_WORKER_AMOUNT: ${CELERY_WORKER_AMOUNT:-}
@@ -138,7 +137,6 @@ 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}
@@ -388,12 +386,11 @@ x-shared-env: &shared-api-worker-env
   CSP_WHITELIST: ${CSP_WHITELIST:-}
   CREATE_TIDB_SERVICE_JOB_ENABLED: ${CREATE_TIDB_SERVICE_JOB_ENABLED:-false}
   MAX_SUBMIT_COUNT: ${MAX_SUBMIT_COUNT:-100}
-  TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-10}
 
 services:
   # API service
   api:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.14.2
     restart: always
     environment:
       # Use the shared environment variables.
@@ -416,7 +413,7 @@ services:
   # worker service
   # The Celery worker for processing the queue.
   worker:
-    image: langgenius/dify-api:0.15.1
+    image: langgenius/dify-api:0.14.2
     restart: always
     environment:
       # Use the shared environment variables.
@@ -438,7 +435,7 @@ services:
 
   # Frontend web application.
   web:
-    image: langgenius/dify-web:0.15.1
+    image: langgenius/dify-web:0.14.2
     restart: always
     environment:
       CONSOLE_API_URL: ${CONSOLE_API_URL:-}
@@ -800,7 +797,7 @@ services:
 
   milvus-standalone:
     container_name: milvus-standalone
-    image: milvusdb/milvus:v2.5.0-beta
+    image: milvusdb/milvus:v2.3.1
     profiles:
       - milvus
     command: [ 'milvus', 'run', 'standalone' ]
@@ -884,28 +881,20 @@ 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: basic
+      xpack.license.self_generated.type: trial
       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/elasticsearch/docker-entrypoint.sh

@@ -1,25 +0,0 @@
-#!/bin/bash
-
-set -e
-
-if [ "${VECTOR_STORE}" = "elasticsearch-ja" ]; then
-    # Check if the ICU tokenizer plugin is installed
-    if ! /usr/share/elasticsearch/bin/elasticsearch-plugin list | grep -q analysis-icu; then
-        printf '%s\n' "Installing the ICU tokenizer plugin"
-        if ! /usr/share/elasticsearch/bin/elasticsearch-plugin install analysis-icu; then
-            printf '%s\n' "Failed to install the ICU tokenizer plugin"
-            exit 1
-        fi
-    fi
-    # Check if the Japanese language analyzer plugin is installed
-    if ! /usr/share/elasticsearch/bin/elasticsearch-plugin list | grep -q analysis-kuromoji; then
-        printf '%s\n' "Installing the Japanese language analyzer plugin"
-        if ! /usr/share/elasticsearch/bin/elasticsearch-plugin install analysis-kuromoji; then
-            printf '%s\n' "Failed to install the Japanese language analyzer plugin"
-            exit 1
-        fi
-    fi
-fi
-
-# Run the original entrypoint script
-exec /bin/tini -- /usr/local/bin/docker-entrypoint.sh

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx

@@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next'
 import { useBoolean } from 'ahooks'
 import TracingIcon from './tracing-icon'
 import ProviderPanel from './provider-panel'
-import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
+import type { LangFuseConfig, LangSmithConfig } from './type'
 import { TracingProvider } from './type'
 import ProviderConfigModal from './provider-config-modal'
 import Indicator from '@/app/components/header/indicator'
@@ -23,8 +23,7 @@ export type PopupProps = {
   onChooseProvider: (provider: TracingProvider) => void
   langSmithConfig: LangSmithConfig | null
   langFuseConfig: LangFuseConfig | null
-  opikConfig: OpikConfig | null
-  onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void
+  onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig) => void
   onConfigRemoved: (provider: TracingProvider) => void
 }
 
@@ -37,7 +36,6 @@ const ConfigPopup: FC<PopupProps> = ({
   onChooseProvider,
   langSmithConfig,
   langFuseConfig,
-  opikConfig,
   onConfigUpdated,
   onConfigRemoved,
 }) => {
@@ -61,7 +59,7 @@ const ConfigPopup: FC<PopupProps> = ({
     }
   }, [onChooseProvider])
 
-  const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig | OpikConfig) => {
+  const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig) => {
     onConfigUpdated(currentProvider!, payload)
     hideConfigModal()
   }, [currentProvider, hideConfigModal, onConfigUpdated])
@@ -71,8 +69,8 @@ const ConfigPopup: FC<PopupProps> = ({
     hideConfigModal()
   }, [currentProvider, hideConfigModal, onConfigRemoved])
 
-  const providerAllConfigured = langSmithConfig && langFuseConfig && opikConfig
-  const providerAllNotConfigured = !langSmithConfig && !langFuseConfig && !opikConfig
+  const providerAllConfigured = langSmithConfig && langFuseConfig
+  const providerAllNotConfigured = !langSmithConfig && !langFuseConfig
 
   const switchContent = (
     <Switch
@@ -92,7 +90,6 @@ const ConfigPopup: FC<PopupProps> = ({
       onConfig={handleOnConfig(TracingProvider.langSmith)}
       isChosen={chosenProvider === TracingProvider.langSmith}
       onChoose={handleOnChoose(TracingProvider.langSmith)}
-      key="langSmith-provider-panel"
     />
   )
 
@@ -105,61 +102,9 @@ const ConfigPopup: FC<PopupProps> = ({
       onConfig={handleOnConfig(TracingProvider.langfuse)}
       isChosen={chosenProvider === TracingProvider.langfuse}
       onChoose={handleOnChoose(TracingProvider.langfuse)}
-      key="langfuse-provider-panel"
     />
   )
 
-  const opikPanel = (
-    <ProviderPanel
-      type={TracingProvider.opik}
-      readOnly={readOnly}
-      config={opikConfig}
-      hasConfigured={!!opikConfig}
-      onConfig={handleOnConfig(TracingProvider.opik)}
-      isChosen={chosenProvider === TracingProvider.opik}
-      onChoose={handleOnChoose(TracingProvider.opik)}
-      key="opik-provider-panel"
-    />
-  )
-
-  const configuredProviderPanel = () => {
-    const configuredPanels: ProviderPanel[] = []
-
-    if (langSmithConfig)
-      configuredPanels.push(langSmithPanel)
-
-    if (langFuseConfig)
-      configuredPanels.push(langfusePanel)
-
-    if (opikConfig)
-      configuredPanels.push(opikPanel)
-
-    return configuredPanels
-  }
-
-  const moreProviderPanel = () => {
-    const notConfiguredPanels: ProviderPanel[] = []
-
-    if (!langSmithConfig)
-      notConfiguredPanels.push(langSmithPanel)
-
-    if (!langFuseConfig)
-      notConfiguredPanels.push(langfusePanel)
-
-    if (!opikConfig)
-      notConfiguredPanels.push(opikPanel)
-
-    return notConfiguredPanels
-  }
-
-  const configuredProviderConfig = () => {
-    if (currentProvider === TracingProvider.langSmith)
-      return langSmithConfig
-    if (currentProvider === TracingProvider.langfuse)
-      return langFuseConfig
-    return opikConfig
-  }
-
   return (
     <div className='w-[420px] p-4 rounded-2xl bg-white border-[0.5px] border-black/5 shadow-lg'>
       <div className='flex justify-between items-center'>
@@ -201,19 +146,18 @@ const ConfigPopup: FC<PopupProps> = ({
               <div className='mt-2 space-y-2'>
                 {langSmithPanel}
                 {langfusePanel}
-                {opikPanel}
               </div>
             </>
           )
           : (
             <>
               <div className='leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.configured`)}</div>
-              <div className='mt-2 space-y-2'>
-                {configuredProviderPanel()}
+              <div className='mt-2'>
+                {langSmithConfig ? langSmithPanel : langfusePanel}
               </div>
               <div className='mt-3 leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.moreProvider`)}</div>
-              <div className='mt-2 space-y-2'>
-                {moreProviderPanel()}
+              <div className='mt-2'>
+                {!langSmithConfig ? langSmithPanel : langfusePanel}
               </div>
             </>
           )}
@@ -223,7 +167,7 @@ const ConfigPopup: FC<PopupProps> = ({
         <ProviderConfigModal
           appId={appId}
           type={currentProvider!}
-          payload={configuredProviderConfig()}
+          payload={currentProvider === TracingProvider.langSmith ? langSmithConfig : langFuseConfig}
           onCancel={hideConfigModal}
           onSaved={handleConfigUpdated}
           onChosen={onChooseProvider}

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts

@@ -3,5 +3,4 @@ import { TracingProvider } from './type'
 export const docURL = {
   [TracingProvider.langSmith]: 'https://docs.smith.langchain.com/',
   [TracingProvider.langfuse]: 'https://docs.langfuse.com',
-  [TracingProvider.opik]: 'https://www.comet.com/docs/opik/tracing/integrations/dify#setup-instructions',
 }

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx

@@ -9,7 +9,7 @@ import { TracingProvider } from './type'
 import TracingIcon from './tracing-icon'
 import ConfigButton from './config-button'
 import cn from '@/utils/classnames'
-import { LangfuseIcon, LangsmithIcon, OpikIcon } from '@/app/components/base/icons/src/public/tracing'
+import { LangfuseIcon, LangsmithIcon } from '@/app/components/base/icons/src/public/tracing'
 import Indicator from '@/app/components/header/indicator'
 import { fetchTracingConfig as doFetchTracingConfig, fetchTracingStatus, updateTracingStatus } from '@/service/apps'
 import type { TracingStatus } from '@/models/app'
@@ -70,20 +70,11 @@ const Panel: FC = () => {
     })
   }
   const inUseTracingProvider: TracingProvider | null = tracingStatus?.tracing_provider || null
-
-  const InUseProviderIcon
-    = inUseTracingProvider === TracingProvider.langSmith
-      ? LangsmithIcon
-      : inUseTracingProvider === TracingProvider.langfuse
-        ? LangfuseIcon
-        : inUseTracingProvider === TracingProvider.opik
-          ? OpikIcon
-          : null
+  const InUseProviderIcon = inUseTracingProvider === TracingProvider.langSmith ? LangsmithIcon : LangfuseIcon
 
   const [langSmithConfig, setLangSmithConfig] = useState<LangSmithConfig | null>(null)
   const [langFuseConfig, setLangFuseConfig] = useState<LangFuseConfig | null>(null)
-  const [opikConfig, setOpikConfig] = useState<OpikConfig | null>(null)
-  const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig)
+  const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig)
 
   const fetchTracingConfig = async () => {
     const { tracing_config: langSmithConfig, has_not_configured: langSmithHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langSmith })
@@ -92,9 +83,6 @@ const Panel: FC = () => {
     const { tracing_config: langFuseConfig, has_not_configured: langFuseHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langfuse })
     if (!langFuseHasNotConfig)
       setLangFuseConfig(langFuseConfig as LangFuseConfig)
-    const { tracing_config: opikConfig, has_not_configured: OpikHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.opik })
-    if (!OpikHasNotConfig)
-      setOpikConfig(opikConfig as OpikConfig)
   }
 
   const handleTracingConfigUpdated = async (provider: TracingProvider) => {
@@ -102,19 +90,15 @@ const Panel: FC = () => {
     const { tracing_config } = await doFetchTracingConfig({ appId, provider })
     if (provider === TracingProvider.langSmith)
       setLangSmithConfig(tracing_config as LangSmithConfig)
-    else if (provider === TracingProvider.langSmith)
+    else
       setLangFuseConfig(tracing_config as LangFuseConfig)
-    else if (provider === TracingProvider.opik)
-      setOpikConfig(tracing_config as OpikConfig)
   }
 
   const handleTracingConfigRemoved = (provider: TracingProvider) => {
     if (provider === TracingProvider.langSmith)
       setLangSmithConfig(null)
-    else if (provider === TracingProvider.langSmith)
+    else
       setLangFuseConfig(null)
-    else if (provider === TracingProvider.opik)
-      setOpikConfig(null)
     if (provider === inUseTracingProvider) {
       handleTracingStatusChange({
         enabled: false,
@@ -183,7 +167,6 @@ const Panel: FC = () => {
             onChooseProvider={handleChooseProvider}
             langSmithConfig={langSmithConfig}
             langFuseConfig={langFuseConfig}
-            opikConfig={opikConfig}
             onConfigUpdated={handleTracingConfigUpdated}
             onConfigRemoved={handleTracingConfigRemoved}
             controlShowPopup={controlShowPopup}

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx

@@ -4,7 +4,7 @@ import React, { useCallback, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import { useBoolean } from 'ahooks'
 import Field from './field'
-import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
+import type { LangFuseConfig, LangSmithConfig } from './type'
 import { TracingProvider } from './type'
 import { docURL } from './config'
 import {
@@ -21,10 +21,10 @@ import Toast from '@/app/components/base/toast'
 type Props = {
   appId: string
   type: TracingProvider
-  payload?: LangSmithConfig | LangFuseConfig | OpikConfig | null
+  payload?: LangSmithConfig | LangFuseConfig | null
   onRemoved: () => void
   onCancel: () => void
-  onSaved: (payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void
+  onSaved: (payload: LangSmithConfig | LangFuseConfig) => void
   onChosen: (provider: TracingProvider) => void
 }
 
@@ -42,13 +42,6 @@ const langFuseConfigTemplate = {
   host: '',
 }
 
-const opikConfigTemplate = {
-  api_key: '',
-  project: '',
-  url: '',
-  workspace: '',
-}
-
 const ProviderConfigModal: FC<Props> = ({
   appId,
   type,
@@ -62,17 +55,14 @@ const ProviderConfigModal: FC<Props> = ({
   const isEdit = !!payload
   const isAdd = !isEdit
   const [isSaving, setIsSaving] = useState(false)
-  const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig | OpikConfig>((() => {
+  const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig>((() => {
     if (isEdit)
       return payload
 
     if (type === TracingProvider.langSmith)
       return langSmithConfigTemplate
 
-    else if (type === TracingProvider.langfuse)
-      return langFuseConfigTemplate
-
-    return opikConfigTemplate
+    return langFuseConfigTemplate
   })())
   const [isShowRemoveConfirm, {
     setTrue: showRemoveConfirm,
@@ -121,10 +111,6 @@ const ProviderConfigModal: FC<Props> = ({
         errorMessage = t('common.errorMsg.fieldRequired', { field: 'Host' })
     }
 
-    if (type === TracingProvider.opik) {
-      const postData = config as OpikConfig
-    }
-
     return errorMessage
   }, [config, t, type])
   const handleSave = useCallback(async () => {
@@ -229,38 +215,6 @@ const ProviderConfigModal: FC<Props> = ({
                           />
                         </>
                       )}
-                      {type === TracingProvider.opik && (
-                        <>
-                          <Field
-                            label='API Key'
-                            labelClassName='!text-sm'
-                            value={(config as OpikConfig).api_key}
-                            onChange={handleConfigChange('api_key')}
-                            placeholder={t(`${I18N_PREFIX}.placeholder`, { key: 'API Key' })!}
-                          />
-                          <Field
-                            label={t(`${I18N_PREFIX}.project`)!}
-                            labelClassName='!text-sm'
-                            value={(config as OpikConfig).project}
-                            onChange={handleConfigChange('project')}
-                            placeholder={t(`${I18N_PREFIX}.placeholder`, { key: t(`${I18N_PREFIX}.project`) })!}
-                          />
-                          <Field
-                            label='Workspace'
-                            labelClassName='!text-sm'
-                            value={(config as OpikConfig).workspace}
-                            onChange={handleConfigChange('workspace')}
-                            placeholder={'default'}
-                          />
-                          <Field
-                            label='Url'
-                            labelClassName='!text-sm'
-                            value={(config as OpikConfig).url}
-                            onChange={handleConfigChange('url')}
-                            placeholder={'https://www.comet.com/opik/api/'}
-                          />
-                        </>
-                      )}
 
                     </div>
                     <div className='my-8 flex justify-between items-center h-8'>

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx

@@ -4,7 +4,7 @@ import React, { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
 import { TracingProvider } from './type'
 import cn from '@/utils/classnames'
-import { LangfuseIconBig, LangsmithIconBig, OpikIconBig } from '@/app/components/base/icons/src/public/tracing'
+import { LangfuseIconBig, LangsmithIconBig } from '@/app/components/base/icons/src/public/tracing'
 import { Settings04 } from '@/app/components/base/icons/src/vender/line/general'
 import { Eye as View } from '@/app/components/base/icons/src/vender/solid/general'
 
@@ -24,7 +24,6 @@ const getIcon = (type: TracingProvider) => {
   return ({
     [TracingProvider.langSmith]: LangsmithIconBig,
     [TracingProvider.langfuse]: LangfuseIconBig,
-    [TracingProvider.opik]: OpikIconBig,
   })[type]
 }
 

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts

@@ -1,7 +1,6 @@
 export enum TracingProvider {
   langSmith = 'langsmith',
   langfuse = 'langfuse',
-  opik = 'opik',
 }
 
 export type LangSmithConfig = {
@@ -15,10 +14,3 @@ export type LangFuseConfig = {
   secret_key: string
   host: string
 }
-
-export type OpikConfig = {
-  api_key: string
-  project: string
-  workspace: string
-  url: string
-}

web/app/(commonLayout)/datasets/Container.tsx

@@ -4,8 +4,7 @@
 import { useEffect, useMemo, useRef, useState } from 'react'
 import { useRouter } from 'next/navigation'
 import { useTranslation } from 'react-i18next'
-import { useBoolean, useDebounceFn } from 'ahooks'
-import { useQuery } from '@tanstack/react-query'
+import { useDebounceFn } from 'ahooks'
 
 // Components
 import ExternalAPIPanel from '../../components/datasets/external-api/external-api-panel'
@@ -17,9 +16,7 @@ import TabSliderNew from '@/app/components/base/tab-slider-new'
 import TagManagementModal from '@/app/components/base/tag-management'
 import TagFilter from '@/app/components/base/tag-management/filter'
 import Button from '@/app/components/base/button'
-import Input from '@/app/components/base/input'
 import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/development'
-import CheckboxWithLabel from '@/app/components/datasets/create/website/base/checkbox-with-label'
 
 // Services
 import { fetchDatasetApiBaseUrl } from '@/service/datasets'
@@ -29,14 +26,16 @@ import { useTabSearchParams } from '@/hooks/use-tab-searchparams'
 import { useStore as useTagStore } from '@/app/components/base/tag-management/store'
 import { useAppContext } from '@/context/app-context'
 import { useExternalApiPanel } from '@/context/external-api-panel-context'
+// eslint-disable-next-line import/order
+import { useQuery } from '@tanstack/react-query'
+import Input from '@/app/components/base/input'
 
 const Container = () => {
   const { t } = useTranslation()
   const router = useRouter()
-  const { currentWorkspace, isCurrentWorkspaceOwner } = useAppContext()
+  const { currentWorkspace } = useAppContext()
   const showTagManagementModal = useTagStore(s => s.showTagManagementModal)
   const { showExternalApiPanel, setShowExternalApiPanel } = useExternalApiPanel()
-  const [includeAll, { toggle: toggleIncludeAll }] = useBoolean(false)
 
   const options = useMemo(() => {
     return [
@@ -82,7 +81,7 @@ const Container = () => {
   }, [currentWorkspace, router])
 
   return (
-    <div ref={containerRef} className='grow relative flex flex-col bg-background-body overflow-y-auto scroll-container'>
+    <div ref={containerRef} className='grow relative flex flex-col bg-background-body overflow-y-auto'>
       <div className='sticky top-0 flex justify-between pt-4 px-12 pb-2 leading-[56px] bg-background-body z-10 flex-wrap gap-y-2'>
         <TabSliderNew
           value={activeTab}
@@ -91,14 +90,6 @@ const Container = () => {
         />
         {activeTab === 'dataset' && (
           <div className='flex items-center justify-center gap-2'>
-            {isCurrentWorkspaceOwner && <CheckboxWithLabel
-              isChecked={includeAll}
-              onChange={toggleIncludeAll}
-              label={t('dataset.allKnowledge')}
-              labelClassName='system-md-regular text-text-secondary'
-              className='mr-2'
-              tooltip={t('dataset.allKnowledgeDescription') as string}
-            />}
             <TagFilter type='knowledge' value={tagFilterValue} onChange={handleTagsChange} />
             <Input
               showLeftIcon
@@ -122,7 +113,7 @@ const Container = () => {
       </div>
       {activeTab === 'dataset' && (
         <>
-          <Datasets containerRef={containerRef} tags={tagIDs} keywords={searchKeywords} includeAll={includeAll} />
+          <Datasets containerRef={containerRef} tags={tagIDs} keywords={searchKeywords} />
           <DatasetFooter />
           {showTagManagementModal && (
             <TagManagementModal type='knowledge' show={showTagManagementModal} />

web/app/(commonLayout)/datasets/Datasets.tsx

@@ -6,7 +6,7 @@ import { debounce } from 'lodash-es'
 import { useTranslation } from 'react-i18next'
 import NewDatasetCard from './NewDatasetCard'
 import DatasetCard from './DatasetCard'
-import type { DataSetListResponse, FetchDatasetsParams } from '@/models/datasets'
+import type { DataSetListResponse } from '@/models/datasets'
 import { fetchDatasets } from '@/service/datasets'
 import { useAppContext } from '@/context/app-context'
 
@@ -15,15 +15,13 @@ const getKey = (
   previousPageData: DataSetListResponse,
   tags: string[],
   keyword: string,
-  includeAll: boolean,
 ) => {
   if (!pageIndex || previousPageData.has_more) {
-    const params: FetchDatasetsParams = {
+    const params: any = {
       url: 'datasets',
       params: {
         page: pageIndex + 1,
         limit: 30,
-        include_all: includeAll,
       },
     }
     if (tags.length)
@@ -39,18 +37,16 @@ type Props = {
   containerRef: React.RefObject<HTMLDivElement>
   tags: string[]
   keywords: string
-  includeAll: boolean
 }
 
 const Datasets = ({
   containerRef,
   tags,
   keywords,
-  includeAll,
 }: Props) => {
   const { isCurrentWorkspaceEditor } = useAppContext()
   const { data, isLoading, setSize, mutate } = useSWRInfinite(
-    (pageIndex: number, previousPageData: DataSetListResponse) => getKey(pageIndex, previousPageData, tags, keywords, includeAll),
+    (pageIndex: number, previousPageData: DataSetListResponse) => getKey(pageIndex, previousPageData, tags, keywords),
     fetchDatasets,
     { revalidateFirstPage: false, revalidateAll: true },
   )

web/app/(commonLayout)/datasets/Doc.tsx

@@ -1,9 +1,7 @@
 'use client'
 
-import { useEffect, useState } from 'react'
+import { type FC, useEffect } from 'react'
 import { useContext } from 'use-context-selector'
-import { useTranslation } from 'react-i18next'
-import { RiListUnordered } from '@remixicon/react'
 import TemplateEn from './template/template.en.mdx'
 import TemplateZh from './template/template.zh.mdx'
 import I18n from '@/context/i18n'
@@ -12,106 +10,25 @@ import { LanguagesSupported } from '@/i18n/language'
 type DocProps = {
   apiBaseUrl: string
 }
-
-const Doc = ({ apiBaseUrl }: DocProps) => {
+const Doc: FC<DocProps> = ({
+  apiBaseUrl,
+}) => {
   const { locale } = useContext(I18n)
-  const { t } = useTranslation()
-  const [toc, setToc] = useState<Array<{ href: string; text: string }>>([])
-  const [isTocExpanded, setIsTocExpanded] = useState(false)
 
-  // Set initial TOC expanded state based on screen width
   useEffect(() => {
-    const mediaQuery = window.matchMedia('(min-width: 1280px)')
-    setIsTocExpanded(mediaQuery.matches)
+    const hash = location.hash
+    if (hash)
+      document.querySelector(hash)?.scrollIntoView()
   }, [])
 
-  // Extract TOC from article content
-  useEffect(() => {
-    const extractTOC = () => {
-      const article = document.querySelector('article')
-      if (article) {
-        const headings = article.querySelectorAll('h2')
-        const tocItems = Array.from(headings).map((heading) => {
-          const anchor = heading.querySelector('a')
-          if (anchor) {
-            return {
-              href: anchor.getAttribute('href') || '',
-              text: anchor.textContent || '',
-            }
-          }
-          return null
-        }).filter((item): item is { href: string; text: string } => item !== null)
-        setToc(tocItems)
-      }
-    }
-
-    setTimeout(extractTOC, 0)
-  }, [locale])
-
-  // Handle TOC item click
-  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('.scroll-container')
-      if (scrollContainer) {
-        const headerOffset = -40
-        const elementTop = element.offsetTop - headerOffset
-        scrollContainer.scrollTo({
-          top: elementTop,
-          behavior: 'smooth',
-        })
-      }
-    }
-  }
-
   return (
-    <div className="flex">
-      <div className={`fixed right-16 top-32 z-10 transition-all ${isTocExpanded ? 'w-64' : 'w-10'}`}>
-        {isTocExpanded
-          ? (
-            <nav className="toc w-full bg-gray-50 p-4 rounded-lg shadow-md max-h-[calc(100vh-150px)] overflow-y-auto">
-              <div className="flex justify-between items-center mb-4">
-                <h3 className="text-lg font-semibold">{t('appApi.develop.toc')}</h3>
-                <button
-                  onClick={() => setIsTocExpanded(false)}
-                  className="text-gray-500 hover:text-gray-700"
-                >
-                ✕
-                </button>
-              </div>
-              <ul className="space-y-2">
-                {toc.map((item, index) => (
-                  <li key={index}>
-                    <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>
-                  </li>
-                ))}
-              </ul>
-            </nav>
-          )
-          : (
-            <button
-              onClick={() => setIsTocExpanded(true)}
-              className="w-10 h-10 bg-gray-50 rounded-full shadow-md flex items-center justify-center hover:bg-gray-100 transition-colors duration-200"
-            >
-              <RiListUnordered className="w-6 h-6" />
-            </button>
-          )}
-      </div>
-      <article className='mx-1 px-4 sm:mx-12 pt-16 bg-white rounded-t-xl prose prose-xl'>
-        {locale !== LanguagesSupported[1]
+    <article className='mx-1 px-4 sm:mx-12 pt-16 bg-white rounded-t-xl prose prose-xl'>
+      {
+        locale !== LanguagesSupported[1]
           ? <TemplateEn apiBaseUrl={apiBaseUrl} />
           : <TemplateZh apiBaseUrl={apiBaseUrl} />
-        }
-      </article>
-    </div>
+      }
+    </article>
   )
 }
 

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

@@ -1,5 +1,5 @@
 import { CodeGroup } from '@/app/components/develop/code.tsx'
-import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx'
+import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'
 
 # Knowledge API
 
@@ -80,27 +80,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
               - <code>max_tokens</code> The maximum length (tokens) must be validated to be shorter than the length of the parent chunk
               - <code>chunk_overlap</code> Define the overlap between adjacent chunks (optional)
       </Property>
-      <PropertyInstruction>When no parameters are set for the knowledge base, the first upload requires the following parameters to be provided; if not provided, the default parameters will be used.</PropertyInstruction>
-      <Property name='retrieval_model' type='object' key='retrieval_model'>
-        Retrieval model
-          - <code>search_method</code> (string) Search method
-            - <code>hybrid_search</code> Hybrid search
-            - <code>semantic_search</code> Semantic search
-            - <code>full_text_search</code> Full-text search
-          - <code>reranking_enable</code> (bool) Whether to enable reranking
-          - <code>reranking_mode</code> (object) Rerank model configuration
-            - <code>reranking_provider_name</code> (string) Rerank model provider
-            - <code>reranking_model_name</code> (string) Rerank model name
-          - <code>top_k</code> (int) Number of results to return
-          - <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
-          - <code>score_threshold</code> (float) Score threshold
-      </Property>
-      <Property name='embedding_model' type='string' key='embedding_model'>
-        Embedding model name
-      </Property>
-      <Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
-        Embedding model provider
-      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -218,27 +197,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='file' type='multipart/form-data' key='file'>
         Files that need to be uploaded.
       </Property>
-      <PropertyInstruction>When no parameters are set for the knowledge base, the first upload requires the following parameters to be provided; if not provided, the default parameters will be used.</PropertyInstruction>
-      <Property name='retrieval_model' type='object' key='retrieval_model'>
-        Retrieval model
-          - <code>search_method</code> (string) Search method
-            - <code>hybrid_search</code> Hybrid search
-            - <code>semantic_search</code> Semantic search
-            - <code>full_text_search</code> Full-text search
-          - <code>reranking_enable</code> (bool) Whether to enable reranking
-          - <code>reranking_mode</code> (object) Rerank model configuration
-            - <code>reranking_provider_name</code> (string) Rerank model provider
-            - <code>reranking_model_name</code> (string) Rerank model name
-          - <code>top_k</code> (int) Number of results to return
-          - <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
-          - <code>score_threshold</code> (float) Score threshold
-      </Property>
-      <Property name='embedding_model' type='string' key='embedding_model'>
-        Embedding model name
-      </Property>
-      <Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
-        Embedding model provider
-      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -1148,57 +1106,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
 
 <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'
@@ -1230,10 +1137,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
         - <code>reranking_mode</code> (object) Rerank model configuration, required if reranking is enabled
             - <code>reranking_provider_name</code> (string) Rerank model provider
             - <code>reranking_model_name</code> (string) Rerank model name
-        - <code>weights</code> (float) Semantic search weight setting in hybrid search mode
+        - <code>weights</code> (double) Semantic search weight setting in hybrid search mode
         - <code>top_k</code> (integer) Number of results to return (optional)
         - <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
-        - <code>score_threshold</code> (float) Score threshold
+        - <code>score_threshold</code> (double) Score threshold
       </Property>
       <Property name='external_retrieval_model' type='object' key='external_retrieval_model'>
           Unused field

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

@@ -1,5 +1,5 @@
 import { CodeGroup } from '@/app/components/develop/code.tsx'
-import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx'
+import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'
 
 # 知识库 API
 
@@ -80,27 +80,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
               - <code>max_tokens</code> 最大长度 (token) 需要校验小于父级的长度
               - <code>chunk_overlap</code> 分段重叠指的是在对数据进行分段时，段与段之间存在一定的重叠部分（选填）
       </Property>
-      <PropertyInstruction>当知识库未设置任何参数的时候，首次上传需要提供以下参数，未提供则使用默认选项：</PropertyInstruction>
-      <Property name='retrieval_model' type='object' key='retrieval_model'>
-        检索模式
-          - <code>search_method</code> (string) 检索方法
-            - <code>hybrid_search</code> 混合检索
-            - <code>semantic_search</code> 语义检索
-            - <code>full_text_search</code> 全文检索
-          - <code>reranking_enable</code> (bool) 是否开启rerank
-          - <code>reranking_model</code> (object) Rerank 模型配置
-            - <code>reranking_provider_name</code> (string) Rerank 模型的提供商
-            - <code>reranking_model_name</code> (string) Rerank 模型的名称
-          - <code>top_k</code> (int) 召回条数
-          - <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
-          - <code>score_threshold</code> (float) 召回分数限制
-      </Property>
-      <Property name='embedding_model' type='string' key='embedding_model'>
-        Embedding 模型名称
-      </Property>
-      <Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
-        Embedding 模型供应商
-      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -218,27 +197,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='file' type='multipart/form-data' key='file'>
         需要上传的文件。
       </Property>
-      <PropertyInstruction>当知识库未设置任何参数的时候，首次上传需要提供以下参数，未提供则使用默认选项：</PropertyInstruction>
-      <Property name='retrieval_model' type='object' key='retrieval_model'>
-        检索模式
-          - <code>search_method</code> (string) 检索方法
-            - <code>hybrid_search</code> 混合检索
-            - <code>semantic_search</code> 语义检索
-            - <code>full_text_search</code> 全文检索
-          - <code>reranking_enable</code> (bool) 是否开启rerank
-          - <code>reranking_model</code> (object) Rerank 模型配置
-            - <code>reranking_provider_name</code> (string) Rerank 模型的提供商
-            - <code>reranking_model_name</code> (string) Rerank 模型的名称
-          - <code>top_k</code> (int) 召回条数
-          - <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
-          - <code>score_threshold</code> (float) 召回分数限制
-      </Property>
-      <Property name='embedding_model' type='string' key='embedding_model'>
-        Embedding 模型名称
-      </Property>
-      <Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
-        Embedding 模型供应商
-      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -1149,57 +1107,6 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
 
 <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'
@@ -1228,13 +1135,13 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
           - <code>full_text_search</code> 全文检索
           - <code>hybrid_search</code> 混合检索
         - <code>reranking_enable</code> (bool) 是否启用 Reranking，非必填，如果检索模式为 semantic_search 模式或者 hybrid_search 则传值
-        - <code>reranking_mode</code> (object) Rerank 模型配置，非必填，如果启用了 reranking 则传值
+        - <code>reranking_mode</code> (object) Rerank模型配置，非必填，如果启用了 reranking 则传值
             - <code>reranking_provider_name</code> (string) Rerank 模型提供商
             - <code>reranking_model_name</code> (string) Rerank 模型名称
-        - <code>weights</code> (float) 混合检索模式下语意检索的权重设置
+        - <code>weights</code> (double) 混合检索模式下语意检索的权重设置
         - <code>top_k</code> (integer) 返回结果数量，非必填
         - <code>score_threshold_enabled</code> (bool) 是否开启 score 阈值
-        - <code>score_threshold</code> (float) Score 阈值
+        - <code>score_threshold</code> (double) Score 阈值
       </Property>
       <Property name='external_retrieval_model' type='object' key='external_retrieval_model'>
           未启用字段

web/app/components/app/configuration/config-prompt/prompt-editor-height-resize-wrap.tsx

@@ -26,15 +26,13 @@ const PromptEditorHeightResizeWrap: FC<Props> = ({
   const [clientY, setClientY] = useState(0)
   const [isResizing, setIsResizing] = useState(false)
   const [prevUserSelectStyle, setPrevUserSelectStyle] = useState(getComputedStyle(document.body).userSelect)
-  const [oldHeight, setOldHeight] = useState(height)
 
   const handleStartResize = useCallback((e: React.MouseEvent<HTMLElement>) => {
     setClientY(e.clientY)
     setIsResizing(true)
-    setOldHeight(height)
     setPrevUserSelectStyle(getComputedStyle(document.body).userSelect)
     document.body.style.userSelect = 'none'
-  }, [height])
+  }, [])
 
   const handleStopResize = useCallback(() => {
     setIsResizing(false)
@@ -46,7 +44,8 @@ const PromptEditorHeightResizeWrap: FC<Props> = ({
       return
 
     const offset = e.clientY - clientY
-    let newHeight = oldHeight + offset
+    let newHeight = height + offset
+    setClientY(e.clientY)
     if (newHeight < minHeight)
       newHeight = minHeight
     onHeightChange(newHeight)

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

@@ -6,7 +6,6 @@ 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'
@@ -61,8 +60,10 @@ const CHART_TYPE_CONFIG: Record<string, IChartConfigType> = {
   },
 }
 
-const sum = (arr: Decimal.Value[]): number => {
-  return Decimal.sum(...arr).toNumber()
+const sum = (arr: number[]): number => {
+  return arr.reduce((acr, cur) => {
+    return acr + cur
+  })
 }
 
 const defaultPeriod = {

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

@@ -306,14 +306,8 @@ const GenerationItem: FC<IGenerationItemProps> = ({
             }
             <div className={`flex ${contentClassName}`}>
               <div className='grow w-0'>
-                {siteInfo && workflowProcessData && (
-                  <WorkflowProcessItem
-                    data={workflowProcessData}
-                    expand={workflowProcessData.expand}
-                    hideProcessDetail={hideProcessDetail}
-                    hideInfo={hideProcessDetail}
-                    readonly={!siteInfo.show_workflow_steps}
-                  />
+                {siteInfo && siteInfo.show_workflow_steps && workflowProcessData && (
+                  <WorkflowProcessItem data={workflowProcessData} expand={workflowProcessData.expand} hideProcessDetail={hideProcessDetail} />
                 )}
                 {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 WorkflowProcessItem from './workflow-process'
+import WorkflowProcess 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 && (
-                <WorkflowProcessItem
+                <WorkflowProcess
                   data={workflowProcess}
                   item={item}
                   hideProcessDetail={hideProcessDetail}
@@ -142,12 +142,11 @@ const Answer: FC<AnswerProps> = ({
             }
             {/** Hide workflow steps by it's settings in siteInfo */}
             {
-              workflowProcess && hideProcessDetail && appData && (
-                <WorkflowProcessItem
+              workflowProcess && hideProcessDetail && appData && appData.site.show_workflow_steps && (
+                <WorkflowProcess
                   data={workflowProcess}
                   item={item}
                   hideProcessDetail={hideProcessDetail}
-                  readonly={!appData.site.show_workflow_steps}
                 />
               )
             }

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

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

web/app/components/base/icons/assets/public/tracing/opik-icon-big.svg

@@ -1,87 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg
-   width="70.700851"
-   height="24"
-   viewBox="0 0 70.700851 24"
-   fill="none"
-   version="1.1"
-   id="svg6"
-   sodipodi:docname="opik-icon-big.svg"
-   inkscape:version="1.3.2 (091e20ef0f, 2023-11-25)"
-   xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
-   xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
-   xmlns="http://www.w3.org/2000/svg"
-   xmlns:svg="http://www.w3.org/2000/svg">
-  <sodipodi:namedview
-     id="namedview6"
-     pagecolor="#ffffff"
-     bordercolor="#666666"
-     borderopacity="1.0"
-     inkscape:showpageshadow="2"
-     inkscape:pageopacity="0.0"
-     inkscape:pagecheckerboard="0"
-     inkscape:deskcolor="#d1d1d1"
-     inkscape:zoom="18.615088"
-     inkscape:cx="36.314629"
-     inkscape:cy="18.989972"
-     inkscape:window-width="2560"
-     inkscape:window-height="1371"
-     inkscape:window-x="0"
-     inkscape:window-y="0"
-     inkscape:window-maximized="1"
-     inkscape:current-layer="svg6" />
-  <rect
-     width="70.700851"
-     height="24"
-     fill="#ffffff"
-     id="rect1"
-     x="0"
-     y="0"
-     style="stroke-width:0.0683761;fill:none" />
-  <path
-     fill-rule="evenodd"
-     clip-rule="evenodd"
-     d="M 14.463316,5.8949744 C 11.191179,4.456547 7.3065299,5.9932444 5.8118769,9.3932308 4.3172308,12.793231 5.8113846,16.694496 9.0834872,18.132923 c 1.3197948,0.580171 2.7316238,0.676855 4.0492308,0.364923 0.567179,-0.13429 1.135863,0.216684 1.270085,0.783863 0.134291,0.56718 -0.216615,1.135864 -0.783863,1.270154 C 11.873983,20.964923 9.9916581,20.83788 8.2340513,20.065231 3.8540444,18.139761 1.9338872,12.969778 3.8795692,8.5437949 5.8252581,4.1177778 10.932786,2.0372103 15.312752,3.9626667 c 2.672342,1.1747624 4.432069,3.564376 4.952137,6.2470423 0.110974,0.57224 -0.262974,1.126017 -0.835214,1.236992 -0.572171,0.110906 -1.126017,-0.263043 -1.236923,-0.835282 C 17.796308,8.5668376 16.46359,6.7742906 14.463316,5.8949744 Z M 18.01388,17.557812 c 0.20424,0.856752 -0.324786,1.716786 -1.181538,1.921026 -0.856752,0.204171 -1.716855,-0.324787 -1.921026,-1.181539 -0.204239,-0.856752 0.324787,-1.716855 1.181539,-1.921025 0.856752,-0.20424 1.716854,0.324786 1.921025,1.181538 z m 1.329368,-1.216547 c 1.144615,-0.272821 1.85135,-1.42188 1.57853,-2.566427 -0.272821,-1.144616 -1.421881,-1.851351 -2.566428,-1.57853 -1.144615,0.27282 -1.85135,1.421812 -1.578529,2.566427 0.27282,1.144615 1.42188,1.85135 2.566427,1.57853 z"
-     fill="url(#paint0_linear_3874_31725)"
-     id="path1"
-     style="fill:url(#paint0_linear_3874_31725);stroke-width:0.0683761" />
-  <path
-     d="m 31.039658,17.805538 c -1.082803,0 -2.046769,-0.231042 -2.891897,-0.693196 -0.84506,-0.475419 -1.511932,-1.122462 -2.000479,-1.941128 -0.488615,-0.818667 -0.732855,-1.749607 -0.732855,-2.792821 0,-1.056342 0.24424,-1.987282 0.732855,-2.7928204 0.488547,-0.8186666 1.155419,-1.4590769 2.000479,-1.9212991 0.845128,-0.4621538 1.809094,-0.6931966 2.891897,-0.6931966 1.096,0 2.06653,0.2310428 2.911658,0.6931966 0.858257,0.4622222 1.525128,1.096 2.000479,1.9015385 0.488615,0.80547 0.732855,1.742974 0.732855,2.812581 0,1.043214 -0.24424,1.974154 -0.732855,2.792821 -0.475351,0.818666 -1.142222,1.465709 -2.000479,1.941128 -0.845128,0.462154 -1.815658,0.693196 -2.911658,0.693196 z m 0,-2.119316 c 0.607385,0 1.148786,-0.132102 1.624137,-0.396171 0.475419,-0.264068 0.845128,-0.647042 1.109196,-1.148786 0.277334,-0.501812 0.416,-1.089436 0.416,-1.762872 0,-0.686632 -0.138666,-1.274256 -0.416,-1.762803 -0.264068,-0.501812 -0.633777,-0.8847182 -1.109196,-1.148855 -0.475351,-0.2640683 -1.01012,-0.3961025 -1.604376,-0.3961025 -0.607385,0 -1.148787,0.1320342 -1.624137,0.3961025 -0.462222,0.2641368 -0.831932,0.647043 -1.109265,1.148855 -0.277265,0.488547 -0.415932,1.076171 -0.415932,1.762803 0,0.673436 0.138667,1.26106 0.415932,1.762872 0.277333,0.501744 0.647043,0.884718 1.109265,1.148786 0.47535,0.264069 1.01012,0.396171 1.604376,0.396171 z"
-     fill="#3a3a3a"
-     id="path2"
-     style="stroke-width:0.0683761" />
-  <path
-     d="m 44.915145,17.805538 c -0.858256,0 -1.643966,-0.198017 -2.35706,-0.594188 -0.699829,-0.396171 -1.261059,-0.990359 -1.683555,-1.782632 -0.409368,-0.805539 -0.614017,-1.822291 -0.614017,-3.050325 0,-1.241231 0.198017,-2.257983 0.594188,-3.0503246 0.409367,-0.7922735 0.963966,-1.3798975 1.663795,-1.7628034 0.699829,-0.396171 1.498735,-0.5941881 2.396649,-0.5941881 1.043214,0 1.960958,0.2244787 2.753231,0.6734359 0.80547,0.4489573 1.439316,1.076171 1.90147,1.881641 0.475351,0.8055382 0.713026,1.7562392 0.713026,2.8522392 0,1.096 -0.237675,2.053333 -0.713026,2.872069 -0.462154,0.80547 -1.096,1.432683 -1.90147,1.881641 -0.792273,0.448957 -1.710017,0.673435 -2.753231,0.673435 z m -4.714598,3.703932 c -0.634188,0 -1.148308,-0.514051 -1.148308,-1.148239 V 8.2381538 c 0,-0.634188 0.51412,-1.1482393 1.148308,-1.1482393 h 0.06044 c 0.634188,0 1.148308,0.5140513 1.148308,1.1482393 v 1.3474188 l -0.07925,2.8126494 0.198086,2.812581 v 5.150428 c 0,0.634188 -0.51412,1.148239 -1.148308,1.148239 z m 4.437333,-5.823248 c 0.594188,0 1.122394,-0.132102 1.584547,-0.396171 0.475351,-0.264068 0.851693,-0.647042 1.129026,-1.148786 0.277265,-0.501812 0.415932,-1.089436 0.415932,-1.762872 0,-0.686632 -0.138667,-1.274256 -0.415932,-1.762803 C 47.07412,10.113778 46.697778,9.7308718 46.222427,9.466735 45.760274,9.2026667 45.232068,9.0706325 44.63788,9.0706325 c -0.594256,0 -1.129025,0.1320342 -1.604376,0.3961025 -0.475419,0.2641368 -0.85176,0.647043 -1.129025,1.148855 -0.277334,0.488547 -0.415932,1.076171 -0.415932,1.762803 0,0.673436 0.138598,1.26106 0.415932,1.762872 0.277265,0.501744 0.653606,0.884718 1.129025,1.148786 0.475351,0.264069 1.01012,0.396171 1.604376,0.396171 z"
-     fill="#3a3a3a"
-     id="path3"
-     style="stroke-width:0.0683761" />
-  <path
-     d="m 53.779282,17.66694 c -0.634188,0 -1.148308,-0.514119 -1.148308,-1.148308 V 8.2381538 c 0,-0.634188 0.51412,-1.1482393 1.148308,-1.1482393 h 0.179282 c 0.634188,0 1.148308,0.5140513 1.148308,1.1482393 v 8.2804782 c 0,0.634189 -0.51412,1.148308 -1.148308,1.148308 z m 0.09956,-12.3200819 c -0.462154,0 -0.845129,-0.1452513 -1.148855,-0.4357607 -0.290462,-0.2905025 -0.435692,-0.6404307 -0.435692,-1.0497777 0,-0.4225505 0.14523,-0.7724787 0.435692,-1.0497778 0.303726,-0.2905026 0.686701,-0.4357607 1.148855,-0.4357607 0.462153,0 0.838495,0.138653 1.129025,0.4159521 0.303658,0.2640958 0.455522,0.6008205 0.455522,1.0101676 0,0.4357538 -0.145231,0.8054906 -0.435761,1.1091965 -0.290462,0.2905094 -0.673436,0.4357607 -1.148786,0.4357607 z"
-     fill="#3a3a3a"
-     id="path4"
-     style="stroke-width:0.0683761" />
-  <path
-     d="m 60.376821,15.30988 0.05942,-3.109743 5.22106,-4.8280344 c 0.196169,-0.1814701 0.453537,-0.2821881 0.72075,-0.2821881 v 0 c 0.944752,0 1.41894,1.141265 0.752274,1.8107351 l -2.891077,2.9033164 -1.307282,1.089436 z m -0.872069,2.35706 c -0.634188,0 -1.148239,-0.514119 -1.148239,-1.148308 V 4.1182838 c 0,-0.6341812 0.514051,-1.1482872 1.148239,-1.1482872 h 0.179351 c 0.634188,0 1.148307,0.514106 1.148307,1.1482872 V 16.518632 c 0,0.634189 -0.514119,1.148308 -1.148307,1.148308 z m 7.382017,0 c -0.346598,0 -0.674666,-0.156581 -0.892718,-0.426051 l -3.517675,-4.347487 1.564786,-1.980718 3.848206,4.89641 c 0.592,0.753368 0.05538,1.857846 -0.902838,1.857846 z"
-     fill="#3a3a3a"
-     id="path5"
-     style="stroke-width:0.0683761" />
-  <defs
-     id="defs6">
-    <linearGradient
-       id="paint0_linear_3874_31725"
-       x1="258.13101"
-       y1="269.78299"
-       x2="88.645203"
-       y2="75.4571"
-       gradientUnits="userSpaceOnUse"
-       gradientTransform="scale(0.06837607)">
-      <stop
-         stop-color="#FB9341"
-         id="stop5" />
-      <stop
-         offset="1"
-         stop-color="#E30D3E"
-         id="stop6" />
-    </linearGradient>
-  </defs>
-</svg>

web/app/components/base/icons/assets/public/tracing/opik-icon.svg

@@ -1,88 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg
-   width="47.133904"
-   height="16"
-   viewBox="0 0 47.133904 16"
-   fill="none"
-   version="1.1"
-   id="svg6"
-   sodipodi:docname="opik-icon.svg"
-   inkscape:version="1.3.2 (091e20ef0f, 2023-11-25)"
-   xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
-   xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
-   xmlns="http://www.w3.org/2000/svg"
-   xmlns:svg="http://www.w3.org/2000/svg">
-  <sodipodi:namedview
-     id="namedview6"
-     pagecolor="#b95d5d"
-     bordercolor="#666666"
-     borderopacity="1.0"
-     inkscape:showpageshadow="2"
-     inkscape:pageopacity="0.0"
-     inkscape:pagecheckerboard="0"
-     inkscape:deskcolor="#d1d1d1"
-     inkscape:zoom="18.615087"
-     inkscape:cx="34.541874"
-     inkscape:cy="18.882533"
-     inkscape:window-width="2560"
-     inkscape:window-height="1371"
-     inkscape:window-x="0"
-     inkscape:window-y="0"
-     inkscape:window-maximized="1"
-     inkscape:current-layer="svg6" />
-  <rect
-     width="47.119099"
-     height="15.98219"
-     fill="#ffffff"
-     id="rect1"
-     x="0"
-     y="0"
-     style="stroke-width:0.0455515;fill:none"
-     inkscape:label="rect1" />
-  <path
-     fill-rule="evenodd"
-     clip-rule="evenodd"
-     d="M 9.6391824,3.9256084 C 7.4584431,2.9677242 4.8694901,3.9910489 3.8733677,6.2551834 2.8772499,8.519327 3.8730396,11.117275 6.0537561,12.075159 c 0.8795869,0.38635 1.8205107,0.450735 2.6986394,0.243012 0.3780009,-0.08943 0.7570043,0.144295 0.8464576,0.521993 0.089499,0.377699 -0.1443649,0.7564 -0.5224113,0.845827 C 7.9135024,13.961058 6.6590133,13.876457 5.4876434,13.361931 2.568556,12.079712 1.2888532,8.636894 2.5855671,5.6895232 3.8822857,2.7421295 7.286235,1.3566284 10.205295,2.6388372 11.986296,3.4211403 13.15908,5.0124429 13.505682,6.7988966 13.579642,7.1799648 13.330421,7.548739 12.949049,7.6226396 12.567721,7.6964947 12.198606,7.447473 12.124692,7.0664048 11.860478,5.7048679 10.972279,4.5111667 9.6391824,3.9256084 Z m 2.3662996,7.7665706 c 0.136116,0.570532 -0.216457,1.14325 -0.787445,1.279258 -0.570989,0.135962 -1.14421,-0.216283 -1.2802814,-0.786816 -0.1361171,-0.570532 0.2164564,-1.143295 0.7874454,-1.279258 0.570987,-0.136008 1.14421,0.216283 1.280281,0.786816 z m 0.885967,-0.810128 c 0.762836,-0.181679 1.233846,-0.9468664 1.052022,-1.7090479 -0.181824,-0.7622275 -0.947622,-1.2328598 -1.710414,-1.0511819 -0.762838,0.1816779 -1.233846,0.9468196 -1.052023,1.7090471 0.181823,0.7622277 0.947623,1.2328597 1.710415,1.0511827 z"
-     fill="url(#paint0_linear_3874_31725)"
-     id="path1"
-     style="fill:url(#paint0_linear_3874_31725);stroke-width:0.0455515" />
-  <path
-     d="m 20.686606,11.857146 c -0.721642,0 -1.364084,-0.153857 -1.927326,-0.461616 -0.563197,-0.316594 -1.007638,-0.747475 -1.333234,-1.292646 -0.325641,-0.54517 -0.488416,-1.165106 -0.488416,-1.8598076 0,-0.703444 0.162775,-1.32338 0.488416,-1.8598079 0.325596,-0.5451702 0.770037,-0.9716351 1.333234,-1.2794403 0.563242,-0.3077596 1.205684,-0.4616167 1.927326,-0.4616167 0.730437,0 1.377254,0.1538571 1.940495,0.4616167 0.571992,0.3078052 1.016434,0.7298533 1.333234,1.2662813 0.325641,0.5363823 0.488417,1.1606894 0.488417,1.8729669 0,0.6947016 -0.162776,1.3146376 -0.488417,1.8598076 -0.3168,0.545171 -0.761242,0.976052 -1.333234,1.292646 -0.563241,0.307759 -1.210058,0.461616 -1.940495,0.461616 z m 0,-1.411304 c 0.404796,0 0.765617,-0.08797 1.082418,-0.263821 0.316846,-0.17585 0.563242,-0.4308815 0.739232,-0.7650049 0.184831,-0.3341689 0.277246,-0.7254822 0.277246,-1.1739397 0,-0.4572454 -0.09241,-0.8485586 -0.277246,-1.1738941 C 22.332266,6.7350133 22.08587,6.4800268 21.769024,6.3041317 21.452223,6.1282821 21.095822,6.0403572 20.699776,6.0403572 c -0.404796,0 -0.765617,0.087925 -1.082418,0.2637745 -0.308051,0.1758951 -0.554446,0.4308816 -0.739277,0.7650506 -0.184786,0.3253355 -0.277201,0.7166487 -0.277201,1.1738941 0,0.4484575 0.09241,0.8397708 0.277201,1.1739397 0.184831,0.3341234 0.431226,0.5891549 0.739277,0.7650049 0.316801,0.17585 0.673201,0.263821 1.069248,0.263821 z"
-     fill="#3a3a3a"
-     id="path2"
-     style="stroke-width:0.0455515" />
-  <path
-     d="m 29.934026,11.857146 c -0.571992,0 -1.095634,-0.131865 -1.57088,-0.395684 -0.466407,-0.26382 -0.840442,-0.659504 -1.122018,-1.1871 -0.272826,-0.5364272 -0.409217,-1.2135074 -0.409217,-2.0312856 0,-0.826566 0.131971,-1.5036463 0.396002,-2.0312862 0.272826,-0.5275944 0.642442,-0.9189077 1.108848,-1.1738942 0.466406,-0.26382 0.998843,-0.3956845 1.597265,-0.3956845 0.695257,0 1.306893,0.1494859 1.83491,0.4484576 0.536811,0.2989717 0.959243,0.7166486 1.267248,1.253031 0.316801,0.5364279 0.475202,1.169523 0.475202,1.8993763 0,0.7298534 -0.158401,1.3673652 -0.475202,1.9125806 -0.308005,0.536383 -0.730437,0.95406 -1.267248,1.253031 -0.528017,0.298972 -1.139653,0.448458 -1.83491,0.448458 z m -3.142079,2.466539 c -0.422659,0 -0.765298,-0.342319 -0.765298,-0.764641 V 5.4859892 c 0,-0.4223213 0.342639,-0.7646408 0.765298,-0.7646408 h 0.04028 c 0.42266,0 0.765299,0.3423195 0.765299,0.7646408 v 0.8972793 l -0.05281,1.8730126 0.132016,1.8729669 v 3.429796 c 0,0.422322 -0.342639,0.764641 -0.765298,0.764641 z m 2.957293,-3.877843 c 0.396001,0 0.748027,-0.08797 1.056033,-0.263821 0.316801,-0.17585 0.567616,-0.4308815 0.752447,-0.7650049 0.184786,-0.3341689 0.277201,-0.7254822 0.277201,-1.1739397 0,-0.4572454 -0.09241,-0.8485586 -0.277201,-1.1738941 C 31.372889,6.7350133 31.122074,6.4800268 30.805273,6.3041317 30.497267,6.1282821 30.145241,6.0403572 29.74924,6.0403572 c -0.396046,0 -0.752447,0.087925 -1.069248,0.2637745 -0.316846,0.1758951 -0.567662,0.4308816 -0.752447,0.7650506 -0.184831,0.3253355 -0.277201,0.7166487 -0.277201,1.1738941 0,0.4484575 0.09237,0.8397708 0.277201,1.1739397 0.184785,0.3341234 0.435601,0.5891549 0.752447,0.7650049 0.316801,0.17585 0.673202,0.263821 1.069248,0.263821 z"
-     fill="#3a3a3a"
-     id="path3"
-     style="stroke-width:0.0455515" />
-  <path
-     d="m 35.841594,11.76485 c -0.422659,0 -0.765298,-0.342365 -0.765298,-0.764686 V 5.4859892 c 0,-0.4223213 0.342639,-0.7646408 0.765298,-0.7646408 h 0.119484 c 0.422659,0 0.765298,0.3423195 0.765298,0.7646408 v 5.5141748 c 0,0.422321 -0.342639,0.764686 -0.765298,0.764686 z m 0.06635,-8.2042457 c -0.308006,0 -0.563241,-0.096726 -0.765662,-0.2901837 -0.19358,-0.1934528 -0.290371,-0.4264787 -0.290371,-0.6990729 0,-0.2813867 0.0968,-0.5144125 0.290371,-0.6990728 0.202421,-0.1934528 0.457656,-0.2901838 0.765662,-0.2901838 0.308006,0 0.558822,0.092332 0.752448,0.2769928 0.202375,0.1758678 0.303585,0.4001011 0.303585,0.6726954 0,0.2901792 -0.0968,0.536396 -0.290415,0.7386413 -0.19358,0.1934573 -0.448817,0.2901837 -0.765618,0.2901837 z"
-     fill="#3a3a3a"
-     id="path4"
-     style="stroke-width:0.0455515" />
-  <path
-     d="m 40.238571,10.195226 0.0396,-2.0708549 3.479613,-3.2151067 c 0.130739,-0.1208454 0.302264,-0.187916 0.480351,-0.187916 v 0 c 0.629636,0 0.945662,0.7599964 0.501357,1.2058131 l -1.926779,1.9333896 -0.871247,0.7254822 z m -0.581195,1.569624 c -0.42266,0 -0.765253,-0.342365 -0.765253,-0.764686 V 2.7424664 c 0,-0.4223168 0.342593,-0.7646726 0.765253,-0.7646726 h 0.119528 c 0.42266,0 0.765298,0.3423558 0.765298,0.7646726 v 8.2576976 c 0,0.422321 -0.342638,0.764686 -0.765298,0.764686 z m 4.919799,0 c -0.230994,0 -0.449637,-0.104271 -0.594959,-0.283718 l -2.34438,-2.8950987 1.042863,-1.3190088 2.564664,3.2606405 c 0.394542,0.501685 0.03692,1.237185 -0.601702,1.237185 z"
-     fill="#3a3a3a"
-     id="path5"
-     style="stroke-width:0.0455515" />
-  <defs
-     id="defs6">
-    <linearGradient
-       id="paint0_linear_3874_31725"
-       x1="258.13101"
-       y1="269.78299"
-       x2="88.645203"
-       y2="75.4571"
-       gradientUnits="userSpaceOnUse"
-       gradientTransform="scale(0.04556973,0.04553331)">
-      <stop
-         stop-color="#FB9341"
-         id="stop5" />
-      <stop
-         offset="1"
-         stop-color="#E30D3E"
-         id="stop6" />
-    </linearGradient>
-  </defs>
-</svg>

web/app/components/base/icons/src/public/tracing/OpikIcon.json

@@ -1,163 +0,0 @@
-{
-	"icon": {
-		"type": "element",
-		"isRootNode": true,
-		"name": "svg",
-		"attributes": {
-			"width": "47.133904",
-			"height": "16",
-			"viewBox": "0 0 47.133904 16",
-			"fill": "none",
-			"version": "1.1",
-			"id": "svg6",
-			"sodipodi:docname": "opik-icon.svg",
-			"inkscape:version": "1.3.2 (091e20ef0f, 2023-11-25)",
-			"xmlns:inkscape": "http://www.inkscape.org/namespaces/inkscape",
-			"xmlns:sodipodi": "http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd",
-			"xmlns": "http://www.w3.org/2000/svg",
-			"xmlns:svg": "http://www.w3.org/2000/svg"
-		},
-		"children": [
-			{
-				"type": "element",
-				"name": "sodipodi:namedview",
-				"attributes": {
-					"id": "namedview6",
-					"pagecolor": "#b95d5d",
-					"bordercolor": "#666666",
-					"borderopacity": "1.0",
-					"inkscape:showpageshadow": "2",
-					"inkscape:pageopacity": "0.0",
-					"inkscape:pagecheckerboard": "0",
-					"inkscape:deskcolor": "#d1d1d1",
-					"inkscape:zoom": "18.615087",
-					"inkscape:cx": "34.541874",
-					"inkscape:cy": "18.882533",
-					"inkscape:window-width": "2560",
-					"inkscape:window-height": "1371",
-					"inkscape:window-x": "0",
-					"inkscape:window-y": "0",
-					"inkscape:window-maximized": "1",
-					"inkscape:current-layer": "svg6"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "rect",
-				"attributes": {
-					"width": "47.119099",
-					"height": "15.98219",
-					"fill": "#ffffff",
-					"id": "rect1",
-					"x": "0",
-					"y": "0",
-					"style": "stroke-width:0.0455515;fill:none",
-					"inkscape:label": "rect1"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"fill-rule": "evenodd",
-					"clip-rule": "evenodd",
-					"d": "M 9.6391824,3.9256084 C 7.4584431,2.9677242 4.8694901,3.9910489 3.8733677,6.2551834 2.8772499,8.519327 3.8730396,11.117275 6.0537561,12.075159 c 0.8795869,0.38635 1.8205107,0.450735 2.6986394,0.243012 0.3780009,-0.08943 0.7570043,0.144295 0.8464576,0.521993 0.089499,0.377699 -0.1443649,0.7564 -0.5224113,0.845827 C 7.9135024,13.961058 6.6590133,13.876457 5.4876434,13.361931 2.568556,12.079712 1.2888532,8.636894 2.5855671,5.6895232 3.8822857,2.7421295 7.286235,1.3566284 10.205295,2.6388372 11.986296,3.4211403 13.15908,5.0124429 13.505682,6.7988966 13.579642,7.1799648 13.330421,7.548739 12.949049,7.6226396 12.567721,7.6964947 12.198606,7.447473 12.124692,7.0664048 11.860478,5.7048679 10.972279,4.5111667 9.6391824,3.9256084 Z m 2.3662996,7.7665706 c 0.136116,0.570532 -0.216457,1.14325 -0.787445,1.279258 -0.570989,0.135962 -1.14421,-0.216283 -1.2802814,-0.786816 -0.1361171,-0.570532 0.2164564,-1.143295 0.7874454,-1.279258 0.570987,-0.136008 1.14421,0.216283 1.280281,0.786816 z m 0.885967,-0.810128 c 0.762836,-0.181679 1.233846,-0.9468664 1.052022,-1.7090479 -0.181824,-0.7622275 -0.947622,-1.2328598 -1.710414,-1.0511819 -0.762838,0.1816779 -1.233846,0.9468196 -1.052023,1.7090471 0.181823,0.7622277 0.947623,1.2328597 1.710415,1.0511827 z",
-					"fill": "url(#paint0_linear_3874_31725)",
-					"id": "path1",
-					"style": "fill:url(#paint0_linear_3874_31725);stroke-width:0.0455515"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m 20.686606,11.857146 c -0.721642,0 -1.364084,-0.153857 -1.927326,-0.461616 -0.563197,-0.316594 -1.007638,-0.747475 -1.333234,-1.292646 -0.325641,-0.54517 -0.488416,-1.165106 -0.488416,-1.8598076 0,-0.703444 0.162775,-1.32338 0.488416,-1.8598079 0.325596,-0.5451702 0.770037,-0.9716351 1.333234,-1.2794403 0.563242,-0.3077596 1.205684,-0.4616167 1.927326,-0.4616167 0.730437,0 1.377254,0.1538571 1.940495,0.4616167 0.571992,0.3078052 1.016434,0.7298533 1.333234,1.2662813 0.325641,0.5363823 0.488417,1.1606894 0.488417,1.8729669 0,0.6947016 -0.162776,1.3146376 -0.488417,1.8598076 -0.3168,0.545171 -0.761242,0.976052 -1.333234,1.292646 -0.563241,0.307759 -1.210058,0.461616 -1.940495,0.461616 z m 0,-1.411304 c 0.404796,0 0.765617,-0.08797 1.082418,-0.263821 0.316846,-0.17585 0.563242,-0.4308815 0.739232,-0.7650049 0.184831,-0.3341689 0.277246,-0.7254822 0.277246,-1.1739397 0,-0.4572454 -0.09241,-0.8485586 -0.277246,-1.1738941 C 22.332266,6.7350133 22.08587,6.4800268 21.769024,6.3041317 21.452223,6.1282821 21.095822,6.0403572 20.699776,6.0403572 c -0.404796,0 -0.765617,0.087925 -1.082418,0.2637745 -0.308051,0.1758951 -0.554446,0.4308816 -0.739277,0.7650506 -0.184786,0.3253355 -0.277201,0.7166487 -0.277201,1.1738941 0,0.4484575 0.09241,0.8397708 0.277201,1.1739397 0.184831,0.3341234 0.431226,0.5891549 0.739277,0.7650049 0.316801,0.17585 0.673201,0.263821 1.069248,0.263821 z",
-					"fill": "#3a3a3a",
-					"id": "path2",
-					"style": "stroke-width:0.0455515"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m 29.934026,11.857146 c -0.571992,0 -1.095634,-0.131865 -1.57088,-0.395684 -0.466407,-0.26382 -0.840442,-0.659504 -1.122018,-1.1871 -0.272826,-0.5364272 -0.409217,-1.2135074 -0.409217,-2.0312856 0,-0.826566 0.131971,-1.5036463 0.396002,-2.0312862 0.272826,-0.5275944 0.642442,-0.9189077 1.108848,-1.1738942 0.466406,-0.26382 0.998843,-0.3956845 1.597265,-0.3956845 0.695257,0 1.306893,0.1494859 1.83491,0.4484576 0.536811,0.2989717 0.959243,0.7166486 1.267248,1.253031 0.316801,0.5364279 0.475202,1.169523 0.475202,1.8993763 0,0.7298534 -0.158401,1.3673652 -0.475202,1.9125806 -0.308005,0.536383 -0.730437,0.95406 -1.267248,1.253031 -0.528017,0.298972 -1.139653,0.448458 -1.83491,0.448458 z m -3.142079,2.466539 c -0.422659,0 -0.765298,-0.342319 -0.765298,-0.764641 V 5.4859892 c 0,-0.4223213 0.342639,-0.7646408 0.765298,-0.7646408 h 0.04028 c 0.42266,0 0.765299,0.3423195 0.765299,0.7646408 v 0.8972793 l -0.05281,1.8730126 0.132016,1.8729669 v 3.429796 c 0,0.422322 -0.342639,0.764641 -0.765298,0.764641 z m 2.957293,-3.877843 c 0.396001,0 0.748027,-0.08797 1.056033,-0.263821 0.316801,-0.17585 0.567616,-0.4308815 0.752447,-0.7650049 0.184786,-0.3341689 0.277201,-0.7254822 0.277201,-1.1739397 0,-0.4572454 -0.09241,-0.8485586 -0.277201,-1.1738941 C 31.372889,6.7350133 31.122074,6.4800268 30.805273,6.3041317 30.497267,6.1282821 30.145241,6.0403572 29.74924,6.0403572 c -0.396046,0 -0.752447,0.087925 -1.069248,0.2637745 -0.316846,0.1758951 -0.567662,0.4308816 -0.752447,0.7650506 -0.184831,0.3253355 -0.277201,0.7166487 -0.277201,1.1738941 0,0.4484575 0.09237,0.8397708 0.277201,1.1739397 0.184785,0.3341234 0.435601,0.5891549 0.752447,0.7650049 0.316801,0.17585 0.673202,0.263821 1.069248,0.263821 z",
-					"fill": "#3a3a3a",
-					"id": "path3",
-					"style": "stroke-width:0.0455515"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m 35.841594,11.76485 c -0.422659,0 -0.765298,-0.342365 -0.765298,-0.764686 V 5.4859892 c 0,-0.4223213 0.342639,-0.7646408 0.765298,-0.7646408 h 0.119484 c 0.422659,0 0.765298,0.3423195 0.765298,0.7646408 v 5.5141748 c 0,0.422321 -0.342639,0.764686 -0.765298,0.764686 z m 0.06635,-8.2042457 c -0.308006,0 -0.563241,-0.096726 -0.765662,-0.2901837 -0.19358,-0.1934528 -0.290371,-0.4264787 -0.290371,-0.6990729 0,-0.2813867 0.0968,-0.5144125 0.290371,-0.6990728 0.202421,-0.1934528 0.457656,-0.2901838 0.765662,-0.2901838 0.308006,0 0.558822,0.092332 0.752448,0.2769928 0.202375,0.1758678 0.303585,0.4001011 0.303585,0.6726954 0,0.2901792 -0.0968,0.536396 -0.290415,0.7386413 -0.19358,0.1934573 -0.448817,0.2901837 -0.765618,0.2901837 z",
-					"fill": "#3a3a3a",
-					"id": "path4",
-					"style": "stroke-width:0.0455515"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m 40.238571,10.195226 0.0396,-2.0708549 3.479613,-3.2151067 c 0.130739,-0.1208454 0.302264,-0.187916 0.480351,-0.187916 v 0 c 0.629636,0 0.945662,0.7599964 0.501357,1.2058131 l -1.926779,1.9333896 -0.871247,0.7254822 z m -0.581195,1.569624 c -0.42266,0 -0.765253,-0.342365 -0.765253,-0.764686 V 2.7424664 c 0,-0.4223168 0.342593,-0.7646726 0.765253,-0.7646726 h 0.119528 c 0.42266,0 0.765298,0.3423558 0.765298,0.7646726 v 8.2576976 c 0,0.422321 -0.342638,0.764686 -0.765298,0.764686 z m 4.919799,0 c -0.230994,0 -0.449637,-0.104271 -0.594959,-0.283718 l -2.34438,-2.8950987 1.042863,-1.3190088 2.564664,3.2606405 c 0.394542,0.501685 0.03692,1.237185 -0.601702,1.237185 z",
-					"fill": "#3a3a3a",
-					"id": "path5",
-					"style": "stroke-width:0.0455515"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "defs",
-				"attributes": {
-					"id": "defs6"
-				},
-				"children": [
-					{
-						"type": "element",
-						"name": "linearGradient",
-						"attributes": {
-							"id": "paint0_linear_3874_31725",
-							"x1": "258.13101",
-							"y1": "269.78299",
-							"x2": "88.645203",
-							"y2": "75.4571",
-							"gradientUnits": "userSpaceOnUse",
-							"gradientTransform": "scale(0.04556973,0.04553331)"
-						},
-						"children": [
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"stop-color": "#FB9341",
-									"id": "stop5"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "1",
-									"stop-color": "#E30D3E",
-									"id": "stop6"
-								},
-								"children": []
-							}
-						]
-					}
-				]
-			}
-		]
-	},
-	"name": "OpikIcon"
-}

web/app/components/base/icons/src/public/tracing/OpikIcon.tsx

@@ -1,16 +0,0 @@
-// GENERATE BY script
-// DON NOT EDIT IT MANUALLY
-
-import * as React from 'react'
-import data from './OpikIcon.json'
-import IconBase from '@/app/components/base/icons/IconBase'
-import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
-
-const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
-  props,
-  ref,
-) => <IconBase {...props} ref={ref} data={data as IconData} />)
-
-Icon.displayName = 'OpikIcon'
-
-export default Icon

web/app/components/base/icons/src/public/tracing/OpikIconBig.json

@@ -1,162 +0,0 @@
-{
-	"icon": {
-		"type": "element",
-		"isRootNode": true,
-		"name": "svg",
-		"attributes": {
-			"width": "70.700851",
-			"height": "24",
-			"viewBox": "0 0 70.700851 24",
-			"fill": "none",
-			"version": "1.1",
-			"id": "svg6",
-			"sodipodi:docname": "opik-icon-big.svg",
-			"inkscape:version": "1.3.2 (091e20ef0f, 2023-11-25)",
-			"xmlns:inkscape": "http://www.inkscape.org/namespaces/inkscape",
-			"xmlns:sodipodi": "http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd",
-			"xmlns": "http://www.w3.org/2000/svg",
-			"xmlns:svg": "http://www.w3.org/2000/svg"
-		},
-		"children": [
-			{
-				"type": "element",
-				"name": "sodipodi:namedview",
-				"attributes": {
-					"id": "namedview6",
-					"pagecolor": "#ffffff",
-					"bordercolor": "#666666",
-					"borderopacity": "1.0",
-					"inkscape:showpageshadow": "2",
-					"inkscape:pageopacity": "0.0",
-					"inkscape:pagecheckerboard": "0",
-					"inkscape:deskcolor": "#d1d1d1",
-					"inkscape:zoom": "18.615088",
-					"inkscape:cx": "36.314629",
-					"inkscape:cy": "18.989972",
-					"inkscape:window-width": "2560",
-					"inkscape:window-height": "1371",
-					"inkscape:window-x": "0",
-					"inkscape:window-y": "0",
-					"inkscape:window-maximized": "1",
-					"inkscape:current-layer": "svg6"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "rect",
-				"attributes": {
-					"width": "70.700851",
-					"height": "24",
-					"fill": "#ffffff",
-					"id": "rect1",
-					"x": "0",
-					"y": "0",
-					"style": "stroke-width:0.0683761;fill:none"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"fill-rule": "evenodd",
-					"clip-rule": "evenodd",
-					"d": "M 14.463316,5.8949744 C 11.191179,4.456547 7.3065299,5.9932444 5.8118769,9.3932308 4.3172308,12.793231 5.8113846,16.694496 9.0834872,18.132923 c 1.3197948,0.580171 2.7316238,0.676855 4.0492308,0.364923 0.567179,-0.13429 1.135863,0.216684 1.270085,0.783863 0.134291,0.56718 -0.216615,1.135864 -0.783863,1.270154 C 11.873983,20.964923 9.9916581,20.83788 8.2340513,20.065231 3.8540444,18.139761 1.9338872,12.969778 3.8795692,8.5437949 5.8252581,4.1177778 10.932786,2.0372103 15.312752,3.9626667 c 2.672342,1.1747624 4.432069,3.564376 4.952137,6.2470423 0.110974,0.57224 -0.262974,1.126017 -0.835214,1.236992 -0.572171,0.110906 -1.126017,-0.263043 -1.236923,-0.835282 C 17.796308,8.5668376 16.46359,6.7742906 14.463316,5.8949744 Z M 18.01388,17.557812 c 0.20424,0.856752 -0.324786,1.716786 -1.181538,1.921026 -0.856752,0.204171 -1.716855,-0.324787 -1.921026,-1.181539 -0.204239,-0.856752 0.324787,-1.716855 1.181539,-1.921025 0.856752,-0.20424 1.716854,0.324786 1.921025,1.181538 z m 1.329368,-1.216547 c 1.144615,-0.272821 1.85135,-1.42188 1.57853,-2.566427 -0.272821,-1.144616 -1.421881,-1.851351 -2.566428,-1.57853 -1.144615,0.27282 -1.85135,1.421812 -1.578529,2.566427 0.27282,1.144615 1.42188,1.85135 2.566427,1.57853 z",
-					"fill": "url(#paint0_linear_3874_31725)",
-					"id": "path1",
-					"style": "fill:url(#paint0_linear_3874_31725);stroke-width:0.0683761"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m 31.039658,17.805538 c -1.082803,0 -2.046769,-0.231042 -2.891897,-0.693196 -0.84506,-0.475419 -1.511932,-1.122462 -2.000479,-1.941128 -0.488615,-0.818667 -0.732855,-1.749607 -0.732855,-2.792821 0,-1.056342 0.24424,-1.987282 0.732855,-2.7928204 0.488547,-0.8186666 1.155419,-1.4590769 2.000479,-1.9212991 0.845128,-0.4621538 1.809094,-0.6931966 2.891897,-0.6931966 1.096,0 2.06653,0.2310428 2.911658,0.6931966 0.858257,0.4622222 1.525128,1.096 2.000479,1.9015385 0.488615,0.80547 0.732855,1.742974 0.732855,2.812581 0,1.043214 -0.24424,1.974154 -0.732855,2.792821 -0.475351,0.818666 -1.142222,1.465709 -2.000479,1.941128 -0.845128,0.462154 -1.815658,0.693196 -2.911658,0.693196 z m 0,-2.119316 c 0.607385,0 1.148786,-0.132102 1.624137,-0.396171 0.475419,-0.264068 0.845128,-0.647042 1.109196,-1.148786 0.277334,-0.501812 0.416,-1.089436 0.416,-1.762872 0,-0.686632 -0.138666,-1.274256 -0.416,-1.762803 -0.264068,-0.501812 -0.633777,-0.8847182 -1.109196,-1.148855 -0.475351,-0.2640683 -1.01012,-0.3961025 -1.604376,-0.3961025 -0.607385,0 -1.148787,0.1320342 -1.624137,0.3961025 -0.462222,0.2641368 -0.831932,0.647043 -1.109265,1.148855 -0.277265,0.488547 -0.415932,1.076171 -0.415932,1.762803 0,0.673436 0.138667,1.26106 0.415932,1.762872 0.277333,0.501744 0.647043,0.884718 1.109265,1.148786 0.47535,0.264069 1.01012,0.396171 1.604376,0.396171 z",
-					"fill": "#3a3a3a",
-					"id": "path2",
-					"style": "stroke-width:0.0683761"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m 44.915145,17.805538 c -0.858256,0 -1.643966,-0.198017 -2.35706,-0.594188 -0.699829,-0.396171 -1.261059,-0.990359 -1.683555,-1.782632 -0.409368,-0.805539 -0.614017,-1.822291 -0.614017,-3.050325 0,-1.241231 0.198017,-2.257983 0.594188,-3.0503246 0.409367,-0.7922735 0.963966,-1.3798975 1.663795,-1.7628034 0.699829,-0.396171 1.498735,-0.5941881 2.396649,-0.5941881 1.043214,0 1.960958,0.2244787 2.753231,0.6734359 0.80547,0.4489573 1.439316,1.076171 1.90147,1.881641 0.475351,0.8055382 0.713026,1.7562392 0.713026,2.8522392 0,1.096 -0.237675,2.053333 -0.713026,2.872069 -0.462154,0.80547 -1.096,1.432683 -1.90147,1.881641 -0.792273,0.448957 -1.710017,0.673435 -2.753231,0.673435 z m -4.714598,3.703932 c -0.634188,0 -1.148308,-0.514051 -1.148308,-1.148239 V 8.2381538 c 0,-0.634188 0.51412,-1.1482393 1.148308,-1.1482393 h 0.06044 c 0.634188,0 1.148308,0.5140513 1.148308,1.1482393 v 1.3474188 l -0.07925,2.8126494 0.198086,2.812581 v 5.150428 c 0,0.634188 -0.51412,1.148239 -1.148308,1.148239 z m 4.437333,-5.823248 c 0.594188,0 1.122394,-0.132102 1.584547,-0.396171 0.475351,-0.264068 0.851693,-0.647042 1.129026,-1.148786 0.277265,-0.501812 0.415932,-1.089436 0.415932,-1.762872 0,-0.686632 -0.138667,-1.274256 -0.415932,-1.762803 C 47.07412,10.113778 46.697778,9.7308718 46.222427,9.466735 45.760274,9.2026667 45.232068,9.0706325 44.63788,9.0706325 c -0.594256,0 -1.129025,0.1320342 -1.604376,0.3961025 -0.475419,0.2641368 -0.85176,0.647043 -1.129025,1.148855 -0.277334,0.488547 -0.415932,1.076171 -0.415932,1.762803 0,0.673436 0.138598,1.26106 0.415932,1.762872 0.277265,0.501744 0.653606,0.884718 1.129025,1.148786 0.475351,0.264069 1.01012,0.396171 1.604376,0.396171 z",
-					"fill": "#3a3a3a",
-					"id": "path3",
-					"style": "stroke-width:0.0683761"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m 53.779282,17.66694 c -0.634188,0 -1.148308,-0.514119 -1.148308,-1.148308 V 8.2381538 c 0,-0.634188 0.51412,-1.1482393 1.148308,-1.1482393 h 0.179282 c 0.634188,0 1.148308,0.5140513 1.148308,1.1482393 v 8.2804782 c 0,0.634189 -0.51412,1.148308 -1.148308,1.148308 z m 0.09956,-12.3200819 c -0.462154,0 -0.845129,-0.1452513 -1.148855,-0.4357607 -0.290462,-0.2905025 -0.435692,-0.6404307 -0.435692,-1.0497777 0,-0.4225505 0.14523,-0.7724787 0.435692,-1.0497778 0.303726,-0.2905026 0.686701,-0.4357607 1.148855,-0.4357607 0.462153,0 0.838495,0.138653 1.129025,0.4159521 0.303658,0.2640958 0.455522,0.6008205 0.455522,1.0101676 0,0.4357538 -0.145231,0.8054906 -0.435761,1.1091965 -0.290462,0.2905094 -0.673436,0.4357607 -1.148786,0.4357607 z",
-					"fill": "#3a3a3a",
-					"id": "path4",
-					"style": "stroke-width:0.0683761"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "path",
-				"attributes": {
-					"d": "m 60.376821,15.30988 0.05942,-3.109743 5.22106,-4.8280344 c 0.196169,-0.1814701 0.453537,-0.2821881 0.72075,-0.2821881 v 0 c 0.944752,0 1.41894,1.141265 0.752274,1.8107351 l -2.891077,2.9033164 -1.307282,1.089436 z m -0.872069,2.35706 c -0.634188,0 -1.148239,-0.514119 -1.148239,-1.148308 V 4.1182838 c 0,-0.6341812 0.514051,-1.1482872 1.148239,-1.1482872 h 0.179351 c 0.634188,0 1.148307,0.514106 1.148307,1.1482872 V 16.518632 c 0,0.634189 -0.514119,1.148308 -1.148307,1.148308 z m 7.382017,0 c -0.346598,0 -0.674666,-0.156581 -0.892718,-0.426051 l -3.517675,-4.347487 1.564786,-1.980718 3.848206,4.89641 c 0.592,0.753368 0.05538,1.857846 -0.902838,1.857846 z",
-					"fill": "#3a3a3a",
-					"id": "path5",
-					"style": "stroke-width:0.0683761"
-				},
-				"children": []
-			},
-			{
-				"type": "element",
-				"name": "defs",
-				"attributes": {
-					"id": "defs6"
-				},
-				"children": [
-					{
-						"type": "element",
-						"name": "linearGradient",
-						"attributes": {
-							"id": "paint0_linear_3874_31725",
-							"x1": "258.13101",
-							"y1": "269.78299",
-							"x2": "88.645203",
-							"y2": "75.4571",
-							"gradientUnits": "userSpaceOnUse",
-							"gradientTransform": "scale(0.06837607)"
-						},
-						"children": [
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"stop-color": "#FB9341",
-									"id": "stop5"
-								},
-								"children": []
-							},
-							{
-								"type": "element",
-								"name": "stop",
-								"attributes": {
-									"offset": "1",
-									"stop-color": "#E30D3E",
-									"id": "stop6"
-								},
-								"children": []
-							}
-						]
-					}
-				]
-			}
-		]
-	},
-	"name": "OpikIconBig"
-}

web/app/components/base/icons/src/public/tracing/OpikIconBig.tsx

@@ -1,16 +0,0 @@
-// GENERATE BY script
-// DON NOT EDIT IT MANUALLY
-
-import * as React from 'react'
-import data from './OpikIconBig.json'
-import IconBase from '@/app/components/base/icons/IconBase'
-import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
-
-const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
-  props,
-  ref,
-) => <IconBase {...props} ref={ref} data={data as IconData} />)
-
-Icon.displayName = 'OpikIconBig'
-
-export default Icon

web/app/components/base/icons/src/public/tracing/index.ts

@@ -2,6 +2,4 @@ export { default as LangfuseIconBig } from './LangfuseIconBig'
 export { default as LangfuseIcon } from './LangfuseIcon'
 export { default as LangsmithIconBig } from './LangsmithIconBig'
 export { default as LangsmithIcon } from './LangsmithIcon'
-export { default as OpikIconBig } from './OpikIconBig'
-export { default as OpikIcon } from './OpikIcon'
 export { default as TracingIcon } from './TracingIcon'

web/app/components/datasets/create/step-two/index.tsx

@@ -575,8 +575,6 @@ const StepTwo = ({
   const economyDomRef = useRef<HTMLDivElement>(null)
   const isHoveringEconomy = useHover(economyDomRef)
 
-  const isModelAndRetrievalConfigDisabled = !!datasetId && !!currentDataset?.data_source_type
-
   return (
     <div className='flex w-full h-full'>
       <div className={cn('relative h-full w-1/2 py-6 overflow-y-auto', isMobile ? 'px-4' : 'px-12')}>
@@ -933,15 +931,14 @@ const StepTwo = ({
           <div className='mt-5'>
             <div className={cn('system-md-semibold mb-1', datasetId && 'flex justify-between items-center')}>{t('datasetSettings.form.embeddingModel')}</div>
             <ModelSelector
-              readonly={isModelAndRetrievalConfigDisabled}
-              triggerClassName={isModelAndRetrievalConfigDisabled ? 'opacity-50' : ''}
+              readonly={!!datasetId}
               defaultModel={embeddingModel}
               modelList={embeddingModelList}
               onSelect={(model: DefaultModel) => {
                 setEmbeddingModel(model)
               }}
             />
-            {isModelAndRetrievalConfigDisabled && (
+            {!!datasetId && (
               <div className='mt-2 system-xs-medium'>
                 {t('datasetCreation.stepTwo.indexSettingTip')}
                 <Link className='text-text-accent' href={`/datasets/${datasetId}/settings`}>{t('datasetCreation.stepTwo.datasetSettingLink')}</Link>
@@ -952,7 +949,7 @@ const StepTwo = ({
         <Divider className='my-5' />
         {/* Retrieval Method Config */}
         <div>
-          {!isModelAndRetrievalConfigDisabled
+          {!datasetId
             ? (
               <div className={'mb-1'}>
                 <div className='system-md-semibold mb-0.5'>{t('datasetSettings.form.retrievalSetting.title')}</div>
@@ -973,14 +970,14 @@ const StepTwo = ({
               getIndexing_technique() === IndexingType.QUALIFIED
                 ? (
                   <RetrievalMethodConfig
-                    disabled={isModelAndRetrievalConfigDisabled}
+                    disabled={!!datasetId}
                     value={retrievalConfig}
                     onChange={setRetrievalConfig}
                   />
                 )
                 : (
                   <EconomicalRetrievalMethodConfig
-                    disabled={isModelAndRetrievalConfigDisabled}
+                    disabled={!!datasetId}
                     value={retrievalConfig}
                     onChange={setRetrievalConfig}
                   />

web/app/components/datasets/settings/form/index.tsx

@@ -223,7 +223,7 @@ const Form = () => {
               <IndexMethodRadio
                 disable={!currentDataset?.embedding_available}
                 value={indexMethod}
-                onChange={v => setIndexMethod(v!)}
+                onChange={v => setIndexMethod(v)}
                 docForm={currentDataset.doc_form}
                 currentValue={currentDataset.indexing_technique}
               />
@@ -300,37 +300,35 @@ const Form = () => {
             </div>
           </div>
         </>
-        : indexMethod
-          ? <>
-            <div className='w-full h-0 border-b border-divider-subtle my-1' />
-            <div className={rowClass}>
-              <div className={labelClass}>
-                <div>
-                  <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.retrievalSetting.title')}</div>
-                  <div className='body-xs-regular text-text-tertiary'>
-                    <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
-                    {t('datasetSettings.form.retrievalSetting.description')}
-                  </div>
+        : <>
+          <div className='w-full h-0 border-b border-divider-subtle my-1' />
+          <div className={rowClass}>
+            <div className={labelClass}>
+              <div>
+                <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.retrievalSetting.title')}</div>
+                <div className='body-xs-regular text-text-tertiary'>
+                  <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
+                  {t('datasetSettings.form.retrievalSetting.description')}
                 </div>
               </div>
-              <div className='grow'>
-                {indexMethod === IndexingType.QUALIFIED
-                  ? (
-                    <RetrievalMethodConfig
-                      value={retrievalConfig}
-                      onChange={setRetrievalConfig}
-                    />
-                  )
-                  : (
-                    <EconomicalRetrievalMethodConfig
-                      value={retrievalConfig}
-                      onChange={setRetrievalConfig}
-                    />
-                  )}
-              </div>
             </div>
-          </>
-          : null
+            <div className='grow'>
+              {indexMethod === 'high_quality'
+                ? (
+                  <RetrievalMethodConfig
+                    value={retrievalConfig}
+                    onChange={setRetrievalConfig}
+                  />
+                )
+                : (
+                  <EconomicalRetrievalMethodConfig
+                    value={retrievalConfig}
+                    onChange={setRetrievalConfig}
+                  />
+                )}
+            </div>
+          </div>
+        </>
       }
       <div className='w-full h-0 border-b border-divider-subtle my-1' />
       <div className={rowClass}>

web/app/components/develop/doc.tsx

@@ -61,23 +61,6 @@ 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'}`}>
@@ -99,7 +82,6 @@ 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/md.tsx

@@ -1,5 +1,4 @@
 'use client'
-import type { PropsWithChildren } from 'react'
 import classNames from '@/utils/classnames'
 
 type IChildrenProps = {
@@ -140,9 +139,3 @@ export function SubProperty({ name, type, children }: ISubProperty) {
     </li>
   )
 }
-
-export function PropertyInstruction({ children }: PropsWithChildren<{}>) {
-  return (
-    <li className="m-0 px-0 py-4 first:pt-0 italic">{children}</li>
-  )
-}

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

@@ -444,16 +444,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -484,6 +490,14 @@ 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
@@ -527,10 +541,10 @@ 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 '${props.appDetail.api_base_url}/parameters'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -442,16 +442,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -482,6 +488,14 @@ 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
@@ -525,10 +539,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -419,15 +419,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -458,6 +465,14 @@ 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
@@ -503,7 +518,7 @@ 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 '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -952,16 +952,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -992,6 +998,14 @@ 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
@@ -1035,10 +1049,10 @@ Chat applications support session persistence, allowing previous chat history to
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1103,7 +1117,13 @@ 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)
@@ -1114,9 +1134,9 @@ 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 '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="Request" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta' \
+    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -951,16 +951,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -991,6 +997,14 @@ 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
@@ -1034,10 +1048,10 @@ 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 '${props.appDetail.api_base_url}/parameters'`}>
+    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1102,7 +1116,13 @@ 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)
@@ -1113,9 +1133,9 @@ 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 '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="リクエスト" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta' \
+    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -985,15 +985,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -1024,6 +1031,14 @@ 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
@@ -1069,7 +1084,7 @@ 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 '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1126,6 +1141,13 @@ 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)
@@ -1136,9 +1158,9 @@ 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 '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="Request" tag="POST" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta' \
+    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -980,16 +980,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -1071,10 +1077,10 @@ Chat applications support session persistence, allowing previous chat history to
   </Col>
   <Col sticky>
 
-    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1139,7 +1145,13 @@ 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)
@@ -1150,9 +1162,9 @@ 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 '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="Request" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta' \
+    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -978,16 +978,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -1018,6 +1024,14 @@ 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
@@ -1061,10 +1075,10 @@ 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 '${props.appDetail.api_base_url}/parameters'`}>
+    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1129,7 +1143,13 @@ 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)
@@ -1140,9 +1160,9 @@ 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 '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="リクエスト" tag="GET" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta' \
+    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -993,15 +993,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -1032,6 +1039,14 @@ 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
@@ -1077,7 +1092,7 @@ 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 '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 
@@ -1134,6 +1149,13 @@ 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)
@@ -1144,9 +1166,9 @@ 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 '${props.appDetail.api_base_url}/meta' \\\n-H 'Authorization: Bearer {api_key}'`}>
+  <CodeGroup title="Request" tag="POST" label="/meta" targetCode={`curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/meta' \
+    curl -X GET '${props.appDetail.api_base_url}/meta?user=abc-123' \
     -H 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -610,16 +610,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -650,6 +656,14 @@ 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
@@ -683,10 +697,10 @@ 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 '${props.appDetail.api_base_url}/parameters'`}>
+    <CodeGroup title="Request" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```
 

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

@@ -610,16 +610,22 @@ 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 '${props.appDetail.api_base_url}/info' \\\n-H 'Authorization: Bearer {api_key}'`}>
+    <CodeGroup title="Request" tag="GET" label="/info" targetCode={`curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \\\n-H 'Authorization: Bearer {api_key}'`}>
       ```bash {{ title: 'cURL' }}
-      curl -X GET '${props.appDetail.api_base_url}/info' \
+      curl -X GET '${props.appDetail.api_base_url}/info?user=abc-123' \
       -H 'Authorization: Bearer {api_key}'
       ```
     </CodeGroup>
@@ -650,6 +656,14 @@ 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
@@ -683,10 +697,10 @@ 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 '${props.appDetail.api_base_url}/parameters'`}>
+    <CodeGroup title="リクエスト" tag="GET" label="/parameters" targetCode={` curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123'`}>
 
     ```bash {{ title: 'cURL' }}
-    curl -X GET '${props.appDetail.api_base_url}/parameters' \
+    curl -X GET '${props.appDetail.api_base_url}/parameters?user=abc-123' \
     --header 'Authorization: Bearer {api_key}'
     ```