Merge abacc3768f into d05fee1182

Co-authored-by: douxc <7553076+douxc@users.noreply.github.com>
Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>
Co-authored-by: crazywoola <427733928@qq.com>

api/configs/app_config.py

@@ -27,7 +27,6 @@ class DifyConfig(
         # read from dotenv format config file
         env_file=".env",
         env_file_encoding="utf-8",
-        frozen=True,
         # ignore extra attributes
         extra="ignore",
     )

api/core/app/app_config/easy_ui_based_app/model_config/converter.py

@@ -11,7 +11,7 @@ from core.provider_manager import ProviderManager
 
 class ModelConfigConverter:
     @classmethod
-    def convert(cls, app_config: EasyUIBasedAppConfig, skip_check: bool = False) -> ModelConfigWithCredentialsEntity:
+    def convert(cls, app_config: EasyUIBasedAppConfig) -> ModelConfigWithCredentialsEntity:
         """
         Convert app model config dict to entity.
         :param app_config: app config
@@ -38,27 +38,23 @@ class ModelConfigConverter:
         )
 
         if model_credentials is None:
-            if not skip_check:
-                raise ProviderTokenNotInitError(f"Model {model_name} credentials is not initialized.")
-            else:
-                model_credentials = {}
+            raise ProviderTokenNotInitError(f"Model {model_name} credentials is not initialized.")
 
-        if not skip_check:
-            # check model
-            provider_model = provider_model_bundle.configuration.get_provider_model(
-                model=model_config.model, model_type=ModelType.LLM
-            )
+        # check model
+        provider_model = provider_model_bundle.configuration.get_provider_model(
+            model=model_config.model, model_type=ModelType.LLM
+        )
 
-            if provider_model is None:
-                model_name = model_config.model
-                raise ValueError(f"Model {model_name} not exist.")
+        if provider_model is None:
+            model_name = model_config.model
+            raise ValueError(f"Model {model_name} not exist.")
 
-            if provider_model.status == ModelStatus.NO_CONFIGURE:
-                raise ProviderTokenNotInitError(f"Model {model_name} credentials is not initialized.")
-            elif provider_model.status == ModelStatus.NO_PERMISSION:
-                raise ModelCurrentlyNotSupportError(f"Dify Hosted OpenAI {model_name} currently not support.")
-            elif provider_model.status == ModelStatus.QUOTA_EXCEEDED:
-                raise QuotaExceededError(f"Model provider {provider_name} quota exceeded.")
+        if provider_model.status == ModelStatus.NO_CONFIGURE:
+            raise ProviderTokenNotInitError(f"Model {model_name} credentials is not initialized.")
+        elif provider_model.status == ModelStatus.NO_PERMISSION:
+            raise ModelCurrentlyNotSupportError(f"Dify Hosted OpenAI {model_name} currently not support.")
+        elif provider_model.status == ModelStatus.QUOTA_EXCEEDED:
+            raise QuotaExceededError(f"Model provider {provider_name} quota exceeded.")
 
         # model config
         completion_params = model_config.parameters
@@ -76,7 +72,7 @@ class ModelConfigConverter:
 
         model_schema = model_type_instance.get_model_schema(model_config.model, model_credentials)
 
-        if not skip_check and not model_schema:
+        if not model_schema:
             raise ValueError(f"Model {model_name} not exist.")
 
         return ModelConfigWithCredentialsEntity(

api/core/app/task_pipeline/workflow_cycle_manage.py

@@ -217,6 +217,7 @@ class WorkflowCycleManage:
             ).total_seconds()
             db.session.commit()
 
+        db.session.add(workflow_run)
         db.session.refresh(workflow_run)
         db.session.close()
 

api/core/file/file_manager.py

@@ -74,6 +74,8 @@ def to_prompt_message_content(
                 data = _to_url(f)
             else:
                 data = _to_base64_data_string(f)
+            if f.extension is None:
+                raise ValueError("Missing file extension")
             return VideoPromptMessageContent(data=data, format=f.extension.lstrip("."))
         case _:
             raise ValueError("file type f.type is not supported")

api/core/memory/token_buffer_memory.py

@@ -1,3 +1,4 @@
+from collections.abc import Sequence
 from typing import Optional
 
 from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
@@ -27,7 +28,7 @@ class TokenBufferMemory:
 
     def get_history_prompt_messages(
         self, max_token_limit: int = 2000, message_limit: Optional[int] = None
-    ) -> list[PromptMessage]:
+    ) -> Sequence[PromptMessage]:
         """
         Get history prompt messages.
         :param max_token_limit: max token limit

api/core/model_manager.py

@@ -100,10 +100,10 @@ class ModelInstance:
 
     def invoke_llm(
         self,
-        prompt_messages: list[PromptMessage],
+        prompt_messages: Sequence[PromptMessage],
         model_parameters: Optional[dict] = None,
         tools: Sequence[PromptMessageTool] | None = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
         callbacks: Optional[list[Callback]] = None,

api/core/model_runtime/callbacks/base_callback.py

@@ -1,4 +1,5 @@
 from abc import ABC, abstractmethod
+from collections.abc import Sequence
 from typing import Optional
 
 from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
@@ -31,7 +32,7 @@ class Callback(ABC):
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
     ) -> None:
@@ -60,7 +61,7 @@ class Callback(ABC):
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
     ):
@@ -90,7 +91,7 @@ class Callback(ABC):
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
     ) -> None:
@@ -120,7 +121,7 @@ class Callback(ABC):
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
     ) -> None:

api/core/model_runtime/entities/message_entities.py

@@ -1,4 +1,5 @@
 from abc import ABC
+from collections.abc import Sequence
 from enum import Enum
 from typing import Optional
 
@@ -57,6 +58,7 @@ class PromptMessageContentType(Enum):
     IMAGE = "image"
     AUDIO = "audio"
     VIDEO = "video"
+    DOCUMENT = "document"
 
 
 class PromptMessageContent(BaseModel):
@@ -107,7 +109,7 @@ class PromptMessage(ABC, BaseModel):
     """
 
     role: PromptMessageRole
-    content: Optional[str | list[PromptMessageContent]] = None
+    content: Optional[str | Sequence[PromptMessageContent]] = None
     name: Optional[str] = None
 
     def is_empty(self) -> bool:

api/core/model_runtime/entities/model_entities.py

@@ -87,6 +87,9 @@ class ModelFeature(Enum):
     AGENT_THOUGHT = "agent-thought"
     VISION = "vision"
     STREAM_TOOL_CALL = "stream-tool-call"
+    DOCUMENT = "document"
+    VIDEO = "video"
+    AUDIO = "audio"
 
 
 class DefaultParameterName(str, Enum):

api/core/model_runtime/model_providers/__base/large_language_model.py

@@ -2,7 +2,7 @@ import logging
 import re
 import time
 from abc import abstractmethod
-from collections.abc import Generator, Mapping
+from collections.abc import Generator, Mapping, Sequence
 from typing import Optional, Union
 
 from pydantic import ConfigDict
@@ -48,7 +48,7 @@ class LargeLanguageModel(AIModel):
         prompt_messages: list[PromptMessage],
         model_parameters: Optional[dict] = None,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
         callbacks: Optional[list[Callback]] = None,
@@ -169,7 +169,7 @@ class LargeLanguageModel(AIModel):
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
         callbacks: Optional[list[Callback]] = None,
@@ -212,7 +212,7 @@ if you are not sure about the structure.
             )
 
         model_parameters.pop("response_format")
-        stop = stop or []
+        stop = list(stop) if stop is not None else []
         stop.extend(["\n```", "```\n"])
         block_prompts = block_prompts.replace("{{block}}", code_block)
 
@@ -408,7 +408,7 @@ if you are not sure about the structure.
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
         callbacks: Optional[list[Callback]] = None,
@@ -479,7 +479,7 @@ if you are not sure about the structure.
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
     ) -> Union[LLMResult, Generator]:
@@ -601,7 +601,7 @@ if you are not sure about the structure.
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
         callbacks: Optional[list[Callback]] = None,
@@ -647,7 +647,7 @@ if you are not sure about the structure.
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
         callbacks: Optional[list[Callback]] = None,
@@ -694,7 +694,7 @@ if you are not sure about the structure.
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
         callbacks: Optional[list[Callback]] = None,
@@ -742,7 +742,7 @@ if you are not sure about the structure.
         prompt_messages: list[PromptMessage],
         model_parameters: dict,
         tools: Optional[list[PromptMessageTool]] = None,
-        stop: Optional[list[str]] = None,
+        stop: Optional[Sequence[str]] = None,
         stream: bool = True,
         user: Optional[str] = None,
         callbacks: Optional[list[Callback]] = None,

api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml

@@ -8,6 +8,7 @@ features:
   - agent-thought
   - stream-tool-call
   - vision
+  - audio
 model_properties:
   mode: chat
   context_size: 128000

api/core/prompt/utils/prompt_message_util.py

@@ -1,3 +1,4 @@
+from collections.abc import Sequence
 from typing import cast
 
 from core.model_runtime.entities import (
@@ -14,7 +15,7 @@ from core.prompt.simple_prompt_transform import ModelMode
 
 class PromptMessageUtil:
     @staticmethod
-    def prompt_messages_to_prompt_for_saving(model_mode: str, prompt_messages: list[PromptMessage]) -> list[dict]:
+    def prompt_messages_to_prompt_for_saving(model_mode: str, prompt_messages: Sequence[PromptMessage]) -> list[dict]:
         """
         Prompt messages to prompt for saving.
         :param model_mode: model mode

api/core/variables/segments.py

@@ -118,11 +118,11 @@ class FileSegment(Segment):
 
     @property
     def log(self) -> str:
-        return str(self.value)
+        return ""
 
     @property
     def text(self) -> str:
-        return str(self.value)
+        return ""
 
 
 class ArrayAnySegment(ArraySegment):
@@ -155,3 +155,11 @@ class ArrayFileSegment(ArraySegment):
         for item in self.value:
             items.append(item.markdown)
         return "\n".join(items)
+
+    @property
+    def log(self) -> str:
+        return ""
+
+    @property
+    def text(self) -> str:
+        return ""

api/core/workflow/nodes/llm/entities.py

@@ -39,7 +39,14 @@ class VisionConfig(BaseModel):
 
 
 class PromptConfig(BaseModel):
-    jinja2_variables: Optional[list[VariableSelector]] = None
+    jinja2_variables: Sequence[VariableSelector] = Field(default_factory=list)
+
+    @field_validator("jinja2_variables", mode="before")
+    @classmethod
+    def convert_none_jinja2_variables(cls, v: Any):
+        if v is None:
+            return []
+        return v
 
 
 class LLMNodeChatModelMessage(ChatModelMessage):
@@ -53,7 +60,14 @@ class LLMNodeCompletionModelPromptTemplate(CompletionModelPromptTemplate):
 class LLMNodeData(BaseNodeData):
     model: ModelConfig
     prompt_template: Sequence[LLMNodeChatModelMessage] | LLMNodeCompletionModelPromptTemplate
-    prompt_config: Optional[PromptConfig] = None
+    prompt_config: PromptConfig = Field(default_factory=PromptConfig)
     memory: Optional[MemoryConfig] = None
     context: ContextConfig
     vision: VisionConfig = Field(default_factory=VisionConfig)
+
+    @field_validator("prompt_config", mode="before")
+    @classmethod
+    def convert_none_prompt_config(cls, v: Any):
+        if v is None:
+            return PromptConfig()
+        return v

api/core/workflow/nodes/llm/exc.py

@@ -24,3 +24,11 @@ class LLMModeRequiredError(LLMNodeError):
 
 class NoPromptFoundError(LLMNodeError):
     """Raised when no prompt is found in the LLM configuration."""
+
+
+class NotSupportedPromptTypeError(LLMNodeError):
+    """Raised when the prompt type is not supported."""
+
+
+class MemoryRolePrefixRequiredError(LLMNodeError):
+    """Raised when memory role prefix is required for completion model."""

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

@@ -1,4 +1,5 @@
 import json
+import logging
 from collections.abc import Generator, Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Optional, cast
 
@@ -6,21 +7,26 @@ from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEnti
 from core.entities.model_entities import ModelStatus
 from core.entities.provider_entities import QuotaUnit
 from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.file import FileType, file_manager
+from core.helper.code_executor import CodeExecutor, CodeLanguage
 from core.memory.token_buffer_memory import TokenBufferMemory
 from core.model_manager import ModelInstance, ModelManager
 from core.model_runtime.entities import (
-    AudioPromptMessageContent,
     ImagePromptMessageContent,
     PromptMessage,
     PromptMessageContentType,
     TextPromptMessageContent,
-    VideoPromptMessageContent,
 )
 from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage
-from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.entities.message_entities import (
+    AssistantPromptMessage,
+    PromptMessageRole,
+    SystemPromptMessage,
+    UserPromptMessage,
+)
+from core.model_runtime.entities.model_entities import ModelFeature, ModelPropertyKey, ModelType
 from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
 from core.model_runtime.utils.encoders import jsonable_encoder
-from core.prompt.advanced_prompt_transform import AdvancedPromptTransform
 from core.prompt.entities.advanced_prompt_entities import CompletionModelPromptTemplate, MemoryConfig
 from core.prompt.utils.prompt_message_util import PromptMessageUtil
 from core.variables import (
@@ -32,8 +38,9 @@ from core.variables import (
     ObjectSegment,
     StringSegment,
 )
-from core.workflow.constants import SYSTEM_VARIABLE_NODE_ID
 from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult
+from core.workflow.entities.variable_entities import VariableSelector
+from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.enums import SystemVariableKey
 from core.workflow.graph_engine.entities.event import InNodeEvent
 from core.workflow.nodes.base import BaseNode
@@ -62,14 +69,18 @@ from .exc import (
     InvalidVariableTypeError,
     LLMModeRequiredError,
     LLMNodeError,
+    MemoryRolePrefixRequiredError,
     ModelNotExistError,
     NoPromptFoundError,
+    NotSupportedPromptTypeError,
     VariableNotFoundError,
 )
 
 if TYPE_CHECKING:
     from core.file.models import File
 
+logger = logging.getLogger(__name__)
+
 
 class LLMNode(BaseNode[LLMNodeData]):
     _node_data_cls = LLMNodeData
@@ -123,17 +134,13 @@ class LLMNode(BaseNode[LLMNodeData]):
 
             # fetch prompt messages
             if self.node_data.memory:
-                query = self.graph_runtime_state.variable_pool.get((SYSTEM_VARIABLE_NODE_ID, SystemVariableKey.QUERY))
-                if not query:
-                    raise VariableNotFoundError("Query not found")
-                query = query.text
+                query = self.node_data.memory.query_prompt_template
             else:
                 query = None
 
             prompt_messages, stop = self._fetch_prompt_messages(
-                system_query=query,
-                inputs=inputs,
-                files=files,
+                user_query=query,
+                user_files=files,
                 context=context,
                 memory=memory,
                 model_config=model_config,
@@ -141,6 +148,8 @@ class LLMNode(BaseNode[LLMNodeData]):
                 memory_config=self.node_data.memory,
                 vision_enabled=self.node_data.vision.enabled,
                 vision_detail=self.node_data.vision.configs.detail,
+                variable_pool=self.graph_runtime_state.variable_pool,
+                jinja2_variables=self.node_data.prompt_config.jinja2_variables,
             )
 
             process_data = {
@@ -181,6 +190,17 @@ class LLMNode(BaseNode[LLMNodeData]):
                 )
             )
             return
+        except Exception as e:
+            logger.exception(f"Node {self.node_id} failed to run: {e}")
+            yield RunCompletedEvent(
+                run_result=NodeRunResult(
+                    status=WorkflowNodeExecutionStatus.FAILED,
+                    error=str(e),
+                    inputs=node_inputs,
+                    process_data=process_data,
+                )
+            )
+            return
 
         outputs = {"text": result_text, "usage": jsonable_encoder(usage), "finish_reason": finish_reason}
 
@@ -203,8 +223,8 @@ class LLMNode(BaseNode[LLMNodeData]):
         self,
         node_data_model: ModelConfig,
         model_instance: ModelInstance,
-        prompt_messages: list[PromptMessage],
-        stop: Optional[list[str]] = None,
+        prompt_messages: Sequence[PromptMessage],
+        stop: Optional[Sequence[str]] = None,
     ) -> Generator[NodeEvent, None, None]:
         db.session.close()
 
@@ -519,9 +539,8 @@ class LLMNode(BaseNode[LLMNodeData]):
     def _fetch_prompt_messages(
         self,
         *,
-        system_query: str | None = None,
-        inputs: dict[str, str] | None = None,
-        files: Sequence["File"],
+        user_query: str | None = None,
+        user_files: Sequence["File"],
         context: str | None = None,
         memory: TokenBufferMemory | None = None,
         model_config: ModelConfigWithCredentialsEntity,
@@ -529,58 +548,146 @@ class LLMNode(BaseNode[LLMNodeData]):
         memory_config: MemoryConfig | None = None,
         vision_enabled: bool = False,
         vision_detail: ImagePromptMessageContent.DETAIL,
-    ) -> tuple[list[PromptMessage], Optional[list[str]]]:
-        inputs = inputs or {}
+        variable_pool: VariablePool,
+        jinja2_variables: Sequence[VariableSelector],
+    ) -> tuple[Sequence[PromptMessage], Optional[Sequence[str]]]:
+        prompt_messages = []
 
-        prompt_transform = AdvancedPromptTransform(with_variable_tmpl=True)
-        prompt_messages = prompt_transform.get_prompt(
-            prompt_template=prompt_template,
-            inputs=inputs,
-            query=system_query or "",
-            files=files,
-            context=context,
-            memory_config=memory_config,
-            memory=memory,
-            model_config=model_config,
-        )
-        stop = model_config.stop
+        if isinstance(prompt_template, list):
+            # For chat model
+            prompt_messages.extend(
+                _handle_list_messages(
+                    messages=prompt_template,
+                    context=context,
+                    jinja2_variables=jinja2_variables,
+                    variable_pool=variable_pool,
+                    vision_detail_config=vision_detail,
+                )
+            )
+
+            # Get memory messages for chat mode
+            memory_messages = _handle_memory_chat_mode(
+                memory=memory,
+                memory_config=memory_config,
+                model_config=model_config,
+            )
+            # Extend prompt_messages with memory messages
+            prompt_messages.extend(memory_messages)
+
+            # Add current query to the prompt messages
+            if user_query:
+                message = LLMNodeChatModelMessage(
+                    text=user_query,
+                    role=PromptMessageRole.USER,
+                    edition_type="basic",
+                )
+                prompt_messages.extend(
+                    _handle_list_messages(
+                        messages=[message],
+                        context="",
+                        jinja2_variables=[],
+                        variable_pool=variable_pool,
+                        vision_detail_config=vision_detail,
+                    )
+                )
+
+        elif isinstance(prompt_template, LLMNodeCompletionModelPromptTemplate):
+            # For completion model
+            prompt_messages.extend(
+                _handle_completion_template(
+                    template=prompt_template,
+                    context=context,
+                    jinja2_variables=jinja2_variables,
+                    variable_pool=variable_pool,
+                )
+            )
+
+            # Get memory text for completion model
+            memory_text = _handle_memory_completion_mode(
+                memory=memory,
+                memory_config=memory_config,
+                model_config=model_config,
+            )
+            # Insert histories into the prompt
+            prompt_content = prompt_messages[0].content
+            if "#histories#" in prompt_content:
+                prompt_content = prompt_content.replace("#histories#", memory_text)
+            else:
+                prompt_content = memory_text + "\n" + prompt_content
+            prompt_messages[0].content = prompt_content
+
+            # Add current query to the prompt message
+            if user_query:
+                prompt_content = prompt_messages[0].content.replace("#sys.query#", user_query)
+                prompt_messages[0].content = prompt_content
+        else:
+            errmsg = f"Prompt type {type(prompt_template)} is not supported"
+            logger.warning(errmsg)
+            raise NotSupportedPromptTypeError(errmsg)
+
+        if vision_enabled and user_files:
+            file_prompts = []
+            for file in user_files:
+                file_prompt = file_manager.to_prompt_message_content(file, image_detail_config=vision_detail)
+                file_prompts.append(file_prompt)
+            if (
+                len(prompt_messages) > 0
+                and isinstance(prompt_messages[-1], UserPromptMessage)
+                and isinstance(prompt_messages[-1].content, list)
+            ):
+                prompt_messages[-1] = UserPromptMessage(content=prompt_messages[-1].content + file_prompts)
+            else:
+                prompt_messages.append(UserPromptMessage(content=file_prompts))
+
+        # Filter prompt messages
         filtered_prompt_messages = []
         for prompt_message in prompt_messages:
-            if prompt_message.is_empty():
-                continue
-
-            if not isinstance(prompt_message.content, str):
+            if isinstance(prompt_message.content, list):
                 prompt_message_content = []
-                for content_item in prompt_message.content or []:
-                    # Skip image if vision is disabled
-                    if not vision_enabled and content_item.type == PromptMessageContentType.IMAGE:
+                for content_item in prompt_message.content:
+                    # Skip content if features are not defined
+                    if not model_config.model_schema.features:
+                        if content_item.type != PromptMessageContentType.TEXT:
+                            continue
+                        prompt_message_content.append(content_item)
                         continue
 
-                    if isinstance(content_item, ImagePromptMessageContent):
-                        # Override vision config if LLM node has vision config,
-                        # cuz vision detail is related to the configuration from FileUpload feature.
-                        content_item.detail = vision_detail
-                        prompt_message_content.append(content_item)
-                    elif isinstance(
-                        content_item, TextPromptMessageContent | AudioPromptMessageContent | VideoPromptMessageContent
+                    # Skip content if corresponding feature is not supported
+                    if (
+                        (
+                            content_item.type == PromptMessageContentType.IMAGE
+                            and ModelFeature.VISION not in model_config.model_schema.features
+                        )
+                        or (
+                            content_item.type == PromptMessageContentType.DOCUMENT
+                            and ModelFeature.DOCUMENT not in model_config.model_schema.features
+                        )
+                        or (
+                            content_item.type == PromptMessageContentType.VIDEO
+                            and ModelFeature.VIDEO not in model_config.model_schema.features
+                        )
+                        or (
+                            content_item.type == PromptMessageContentType.AUDIO
+                            and ModelFeature.AUDIO not in model_config.model_schema.features
+                        )
                     ):
-                        prompt_message_content.append(content_item)
-
-                if len(prompt_message_content) > 1:
-                    prompt_message.content = prompt_message_content
-                elif (
-                    len(prompt_message_content) == 1 and prompt_message_content[0].type == PromptMessageContentType.TEXT
-                ):
+                        continue
+                    prompt_message_content.append(content_item)
+                if len(prompt_message_content) == 1 and prompt_message_content[0].type == PromptMessageContentType.TEXT:
                     prompt_message.content = prompt_message_content[0].data
-
+                else:
+                    prompt_message.content = prompt_message_content
+            if prompt_message.is_empty():
+                continue
             filtered_prompt_messages.append(prompt_message)
 
-        if not filtered_prompt_messages:
+        if len(filtered_prompt_messages) == 0:
             raise NoPromptFoundError(
                 "No prompt found in the LLM configuration. "
                 "Please ensure a prompt is properly configured before proceeding."
             )
 
+        stop = model_config.stop
         return filtered_prompt_messages, stop
 
     @classmethod
@@ -715,3 +822,198 @@ class LLMNode(BaseNode[LLMNodeData]):
                 }
             },
         }
+
+
+def _combine_text_message_with_role(*, text: str, role: PromptMessageRole):
+    match role:
+        case PromptMessageRole.USER:
+            return UserPromptMessage(content=[TextPromptMessageContent(data=text)])
+        case PromptMessageRole.ASSISTANT:
+            return AssistantPromptMessage(content=[TextPromptMessageContent(data=text)])
+        case PromptMessageRole.SYSTEM:
+            return SystemPromptMessage(content=[TextPromptMessageContent(data=text)])
+    raise NotImplementedError(f"Role {role} is not supported")
+
+
+def _render_jinja2_message(
+    *,
+    template: str,
+    jinjia2_variables: Sequence[VariableSelector],
+    variable_pool: VariablePool,
+):
+    if not template:
+        return ""
+
+    jinjia2_inputs = {}
+    for jinja2_variable in jinjia2_variables:
+        variable = variable_pool.get(jinja2_variable.value_selector)
+        jinjia2_inputs[jinja2_variable.variable] = variable.to_object() if variable else ""
+    code_execute_resp = CodeExecutor.execute_workflow_code_template(
+        language=CodeLanguage.JINJA2,
+        code=template,
+        inputs=jinjia2_inputs,
+    )
+    result_text = code_execute_resp["result"]
+    return result_text
+
+
+def _handle_list_messages(
+    *,
+    messages: Sequence[LLMNodeChatModelMessage],
+    context: Optional[str],
+    jinja2_variables: Sequence[VariableSelector],
+    variable_pool: VariablePool,
+    vision_detail_config: ImagePromptMessageContent.DETAIL,
+) -> Sequence[PromptMessage]:
+    prompt_messages = []
+    for message in messages:
+        if message.edition_type == "jinja2":
+            result_text = _render_jinja2_message(
+                template=message.jinja2_text or "",
+                jinjia2_variables=jinja2_variables,
+                variable_pool=variable_pool,
+            )
+            prompt_message = _combine_text_message_with_role(text=result_text, role=message.role)
+            prompt_messages.append(prompt_message)
+        else:
+            # Get segment group from basic message
+            if context:
+                template = message.text.replace("{#context#}", context)
+            else:
+                template = message.text
+            segment_group = variable_pool.convert_template(template)
+
+            # Process segments for images
+            file_contents = []
+            for segment in segment_group.value:
+                if isinstance(segment, ArrayFileSegment):
+                    for file in segment.value:
+                        if file.type in {FileType.IMAGE, FileType.VIDEO, FileType.AUDIO}:
+                            file_content = file_manager.to_prompt_message_content(
+                                file, image_detail_config=vision_detail_config
+                            )
+                            file_contents.append(file_content)
+                if isinstance(segment, FileSegment):
+                    file = segment.value
+                    if file.type in {FileType.IMAGE, FileType.VIDEO, FileType.AUDIO}:
+                        file_content = file_manager.to_prompt_message_content(
+                            file, image_detail_config=vision_detail_config
+                        )
+                        file_contents.append(file_content)
+
+            # Create message with text from all segments
+            plain_text = segment_group.text
+            if plain_text:
+                prompt_message = _combine_text_message_with_role(text=plain_text, role=message.role)
+                prompt_messages.append(prompt_message)
+
+            if file_contents:
+                # Create message with image contents
+                prompt_message = UserPromptMessage(content=file_contents)
+                prompt_messages.append(prompt_message)
+
+    return prompt_messages
+
+
+def _calculate_rest_token(
+    *, prompt_messages: list[PromptMessage], model_config: ModelConfigWithCredentialsEntity
+) -> int:
+    rest_tokens = 2000
+
+    model_context_tokens = model_config.model_schema.model_properties.get(ModelPropertyKey.CONTEXT_SIZE)
+    if model_context_tokens:
+        model_instance = ModelInstance(
+            provider_model_bundle=model_config.provider_model_bundle, model=model_config.model
+        )
+
+        curr_message_tokens = model_instance.get_llm_num_tokens(prompt_messages)
+
+        max_tokens = 0
+        for parameter_rule in model_config.model_schema.parameter_rules:
+            if parameter_rule.name == "max_tokens" or (
+                parameter_rule.use_template and parameter_rule.use_template == "max_tokens"
+            ):
+                max_tokens = (
+                    model_config.parameters.get(parameter_rule.name)
+                    or model_config.parameters.get(str(parameter_rule.use_template))
+                    or 0
+                )
+
+        rest_tokens = model_context_tokens - max_tokens - curr_message_tokens
+        rest_tokens = max(rest_tokens, 0)
+
+    return rest_tokens
+
+
+def _handle_memory_chat_mode(
+    *,
+    memory: TokenBufferMemory | None,
+    memory_config: MemoryConfig | None,
+    model_config: ModelConfigWithCredentialsEntity,
+) -> Sequence[PromptMessage]:
+    memory_messages = []
+    # Get messages from memory for chat model
+    if memory and memory_config:
+        rest_tokens = _calculate_rest_token(prompt_messages=[], model_config=model_config)
+        memory_messages = memory.get_history_prompt_messages(
+            max_token_limit=rest_tokens,
+            message_limit=memory_config.window.size if memory_config.window.enabled else None,
+        )
+    return memory_messages
+
+
+def _handle_memory_completion_mode(
+    *,
+    memory: TokenBufferMemory | None,
+    memory_config: MemoryConfig | None,
+    model_config: ModelConfigWithCredentialsEntity,
+) -> str:
+    memory_text = ""
+    # Get history text from memory for completion model
+    if memory and memory_config:
+        rest_tokens = _calculate_rest_token(prompt_messages=[], model_config=model_config)
+        if not memory_config.role_prefix:
+            raise MemoryRolePrefixRequiredError("Memory role prefix is required for completion model.")
+        memory_text = memory.get_history_prompt_text(
+            max_token_limit=rest_tokens,
+            message_limit=memory_config.window.size if memory_config.window.enabled else None,
+            human_prefix=memory_config.role_prefix.user,
+            ai_prefix=memory_config.role_prefix.assistant,
+        )
+    return memory_text
+
+
+def _handle_completion_template(
+    *,
+    template: LLMNodeCompletionModelPromptTemplate,
+    context: Optional[str],
+    jinja2_variables: Sequence[VariableSelector],
+    variable_pool: VariablePool,
+) -> Sequence[PromptMessage]:
+    """Handle completion template processing outside of LLMNode class.
+
+    Args:
+        template: The completion model prompt template
+        context: Optional context string
+        jinja2_variables: Variables for jinja2 template rendering
+        variable_pool: Variable pool for template conversion
+
+    Returns:
+        Sequence of prompt messages
+    """
+    prompt_messages = []
+    if template.edition_type == "jinja2":
+        result_text = _render_jinja2_message(
+            template=template.jinja2_text or "",
+            jinjia2_variables=jinja2_variables,
+            variable_pool=variable_pool,
+        )
+    else:
+        if context:
+            template_text = template.text.replace("{#context#}", context)
+        else:
+            template_text = template.text
+        result_text = variable_pool.convert_template(template_text).text
+    prompt_message = _combine_text_message_with_role(text=result_text, role=PromptMessageRole.USER)
+    prompt_messages.append(prompt_message)
+    return prompt_messages

api/core/workflow/nodes/question_classifier/question_classifier_node.py

@@ -86,12 +86,14 @@ class QuestionClassifierNode(LLMNode):
         )
         prompt_messages, stop = self._fetch_prompt_messages(
             prompt_template=prompt_template,
-            system_query=query,
+            user_query=query,
             memory=memory,
             model_config=model_config,
-            files=files,
+            user_files=files,
             vision_enabled=node_data.vision.enabled,
             vision_detail=node_data.vision.configs.detail,
+            variable_pool=variable_pool,
+            jinja2_variables=[],
         )
 
         # handle invoke result

api/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
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@@ -1008,10 +978,6 @@ files = [
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74"},
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b"},
     {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438"},
-    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01"},
-    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547"},
-    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38"},
-    {file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c"},
     {file = "Brotli-1.1.0-cp37-cp37m-win32.whl", hash = "sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95"},
     {file = "Brotli-1.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68"},
     {file = "Brotli-1.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3"},
@@ -1024,10 +990,6 @@ files = [
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a"},
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088"},
     {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596"},
-    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7"},
-    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5"},
-    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943"},
-    {file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a"},
     {file = "Brotli-1.1.0-cp38-cp38-win32.whl", hash = "sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b"},
     {file = "Brotli-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0"},
     {file = "Brotli-1.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a"},
@@ -1040,10 +1002,6 @@ files = [
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c"},
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d"},
     {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59"},
-    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419"},
-    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2"},
-    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f"},
-    {file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb"},
     {file = "Brotli-1.1.0-cp39-cp39-win32.whl", hash = "sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64"},
     {file = "Brotli-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467"},
     {file = "Brotli-1.1.0.tar.gz", hash = "sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724"},
@@ -2453,6 +2411,21 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "faker"
+version = "32.1.0"
+description = "Faker is a Python package that generates fake data for you."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "Faker-32.1.0-py3-none-any.whl", hash = "sha256:c77522577863c264bdc9dad3a2a750ad3f7ee43ff8185072e482992288898814"},
+    {file = "faker-32.1.0.tar.gz", hash = "sha256:aac536ba04e6b7beb2332c67df78485fc29c1880ff723beac6d1efd45e2f10f5"},
+]
+
+[package.dependencies]
+python-dateutil = ">=2.4"
+typing-extensions = "*"
+
 [[package]]
 name = "fal-client"
 version = "0.5.6"
@@ -11078,4 +11051,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "2ba4b464eebc26598f290fa94713acc44c588f902176e6efa80622911d40f0ac"
+content-hash = "cf4e0467f622e58b51411ee1d784928962f52dbf877b8ee013c810909a1f07db"

api/pyproject.toml

@@ -267,6 +267,7 @@ weaviate-client = "~3.21.0"
 optional = true
 [tool.poetry.group.dev.dependencies]
 coverage = "~7.2.4"
+faker = "~32.1.0"
 pytest = "~8.3.2"
 pytest-benchmark = "~4.0.0"
 pytest-env = "~1.1.3"

api/tests/integration_tests/model_runtime/azure_ai_studio/test_llm.py

@@ -11,7 +11,6 @@ from core.model_runtime.entities.message_entities import (
 )
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.model_providers.azure_ai_studio.llm.llm import AzureAIStudioLargeLanguageModel
-from tests.integration_tests.model_runtime.__mock.azure_ai_studio import setup_azure_ai_studio_mock
 
 
 @pytest.mark.parametrize("setup_azure_ai_studio_mock", [["chat"]], indirect=True)

api/tests/integration_tests/model_runtime/azure_ai_studio/test_rerank.py

@@ -4,29 +4,21 @@ import pytest
 
 from core.model_runtime.entities.rerank_entities import RerankResult
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.azure_ai_studio.rerank.rerank import AzureAIStudioRerankModel
+from core.model_runtime.model_providers.azure_ai_studio.rerank.rerank import AzureRerankModel
 
 
 def test_validate_credentials():
-    model = AzureAIStudioRerankModel()
+    model = AzureRerankModel()
 
     with pytest.raises(CredentialsValidateFailedError):
         model.validate_credentials(
             model="azure-ai-studio-rerank-v1",
             credentials={"api_key": "invalid_key", "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE")},
-            query="What is the capital of the United States?",
-            docs=[
-                "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                "Census, Carson City had a population of 55,274.",
-                "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                "are a political division controlled by the United States. Its capital is Saipan.",
-            ],
-            score_threshold=0.8,
         )
 
 
 def test_invoke_model():
-    model = AzureAIStudioRerankModel()
+    model = AzureRerankModel()
 
     result = model.invoke(
         model="azure-ai-studio-rerank-v1",

api/tests/unit_tests/core/workflow/nodes/llm/test_node.py

@@ -1,125 +1,484 @@
+from collections.abc import Sequence
+from typing import Optional
+
 import pytest
 
-from core.app.entities.app_invoke_entities import InvokeFrom
+from configs import dify_config
+from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity
+from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle
+from core.entities.provider_entities import CustomConfiguration, SystemConfiguration
 from core.file import File, FileTransferMethod, FileType
-from core.model_runtime.entities.message_entities import ImagePromptMessageContent
+from core.model_runtime.entities.common_entities import I18nObject
+from core.model_runtime.entities.message_entities import (
+    AssistantPromptMessage,
+    ImagePromptMessageContent,
+    PromptMessage,
+    PromptMessageRole,
+    SystemPromptMessage,
+    TextPromptMessageContent,
+    UserPromptMessage,
+)
+from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelFeature, ModelType, ProviderModel
+from core.model_runtime.entities.provider_entities import ConfigurateMethod, ProviderEntity
+from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
+from core.prompt.entities.advanced_prompt_entities import MemoryConfig
 from core.variables import ArrayAnySegment, ArrayFileSegment, NoneSegment
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.graph_engine import Graph, GraphInitParams, GraphRuntimeState
 from core.workflow.nodes.answer import AnswerStreamGenerateRoute
 from core.workflow.nodes.end import EndStreamParam
-from core.workflow.nodes.llm.entities import ContextConfig, LLMNodeData, ModelConfig, VisionConfig, VisionConfigOptions
+from core.workflow.nodes.llm.entities import (
+    ContextConfig,
+    LLMNodeChatModelMessage,
+    LLMNodeData,
+    ModelConfig,
+    VisionConfig,
+    VisionConfigOptions,
+)
 from core.workflow.nodes.llm.node import LLMNode
 from models.enums import UserFrom
+from models.provider import ProviderType
 from models.workflow import WorkflowType
+from tests.unit_tests.core.workflow.nodes.llm.test_scenarios import LLMNodeTestScenario
 
 
-class TestLLMNode:
-    @pytest.fixture
-    def llm_node(self):
-        data = LLMNodeData(
-            title="Test LLM",
-            model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode="chat", completion_params={}),
-            prompt_template=[],
-            memory=None,
-            context=ContextConfig(enabled=False),
-            vision=VisionConfig(
-                enabled=True,
-                configs=VisionConfigOptions(
-                    variable_selector=["sys", "files"],
-                    detail=ImagePromptMessageContent.DETAIL.HIGH,
-                ),
-            ),
-        )
-        variable_pool = VariablePool(
-            system_variables={},
-            user_inputs={},
-        )
-        node = LLMNode(
-            id="1",
-            config={
-                "id": "1",
-                "data": data.model_dump(),
-            },
-            graph_init_params=GraphInitParams(
-                tenant_id="1",
-                app_id="1",
-                workflow_type=WorkflowType.WORKFLOW,
-                workflow_id="1",
-                graph_config={},
-                user_id="1",
-                user_from=UserFrom.ACCOUNT,
-                invoke_from=InvokeFrom.SERVICE_API,
-                call_depth=0,
-            ),
-            graph=Graph(
-                root_node_id="1",
-                answer_stream_generate_routes=AnswerStreamGenerateRoute(
-                    answer_dependencies={},
-                    answer_generate_route={},
-                ),
-                end_stream_param=EndStreamParam(
-                    end_dependencies={},
-                    end_stream_variable_selector_mapping={},
-                ),
-            ),
-            graph_runtime_state=GraphRuntimeState(
-                variable_pool=variable_pool,
-                start_at=0,
-            ),
-        )
-        return node
+class MockTokenBufferMemory:
+    def __init__(self, history_messages=None):
+        self.history_messages = history_messages or []
 
-    def test_fetch_files_with_file_segment(self, llm_node):
-        file = File(
+    def get_history_prompt_messages(
+        self, max_token_limit: int = 2000, message_limit: Optional[int] = None
+    ) -> Sequence[PromptMessage]:
+        if message_limit is not None:
+            return self.history_messages[-message_limit * 2 :]
+        return self.history_messages
+
+
+@pytest.fixture
+def llm_node():
+    data = LLMNodeData(
+        title="Test LLM",
+        model=ModelConfig(provider="openai", name="gpt-3.5-turbo", mode="chat", completion_params={}),
+        prompt_template=[],
+        memory=None,
+        context=ContextConfig(enabled=False),
+        vision=VisionConfig(
+            enabled=True,
+            configs=VisionConfigOptions(
+                variable_selector=["sys", "files"],
+                detail=ImagePromptMessageContent.DETAIL.HIGH,
+            ),
+        ),
+    )
+    variable_pool = VariablePool(
+        system_variables={},
+        user_inputs={},
+    )
+    node = LLMNode(
+        id="1",
+        config={
+            "id": "1",
+            "data": data.model_dump(),
+        },
+        graph_init_params=GraphInitParams(
+            tenant_id="1",
+            app_id="1",
+            workflow_type=WorkflowType.WORKFLOW,
+            workflow_id="1",
+            graph_config={},
+            user_id="1",
+            user_from=UserFrom.ACCOUNT,
+            invoke_from=InvokeFrom.SERVICE_API,
+            call_depth=0,
+        ),
+        graph=Graph(
+            root_node_id="1",
+            answer_stream_generate_routes=AnswerStreamGenerateRoute(
+                answer_dependencies={},
+                answer_generate_route={},
+            ),
+            end_stream_param=EndStreamParam(
+                end_dependencies={},
+                end_stream_variable_selector_mapping={},
+            ),
+        ),
+        graph_runtime_state=GraphRuntimeState(
+            variable_pool=variable_pool,
+            start_at=0,
+        ),
+    )
+    return node
+
+
+@pytest.fixture
+def model_config():
+    # Create actual provider and model type instances
+    model_provider_factory = ModelProviderFactory()
+    provider_instance = model_provider_factory.get_provider_instance("openai")
+    model_type_instance = provider_instance.get_model_instance(ModelType.LLM)
+
+    # Create a ProviderModelBundle
+    provider_model_bundle = ProviderModelBundle(
+        configuration=ProviderConfiguration(
+            tenant_id="1",
+            provider=provider_instance.get_provider_schema(),
+            preferred_provider_type=ProviderType.CUSTOM,
+            using_provider_type=ProviderType.CUSTOM,
+            system_configuration=SystemConfiguration(enabled=False),
+            custom_configuration=CustomConfiguration(provider=None),
+            model_settings=[],
+        ),
+        provider_instance=provider_instance,
+        model_type_instance=model_type_instance,
+    )
+
+    # Create and return a ModelConfigWithCredentialsEntity
+    return ModelConfigWithCredentialsEntity(
+        provider="openai",
+        model="gpt-3.5-turbo",
+        model_schema=AIModelEntity(
+            model="gpt-3.5-turbo",
+            label=I18nObject(en_US="GPT-3.5 Turbo"),
+            model_type=ModelType.LLM,
+            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
+            model_properties={},
+        ),
+        mode="chat",
+        credentials={},
+        parameters={},
+        provider_model_bundle=provider_model_bundle,
+    )
+
+
+def test_fetch_files_with_file_segment(llm_node):
+    file = File(
+        id="1",
+        tenant_id="test",
+        type=FileType.IMAGE,
+        filename="test.jpg",
+        transfer_method=FileTransferMethod.LOCAL_FILE,
+        related_id="1",
+    )
+    llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], file)
+
+    result = llm_node._fetch_files(selector=["sys", "files"])
+    assert result == [file]
+
+
+def test_fetch_files_with_array_file_segment(llm_node):
+    files = [
+        File(
             id="1",
             tenant_id="test",
             type=FileType.IMAGE,
-            filename="test.jpg",
+            filename="test1.jpg",
             transfer_method=FileTransferMethod.LOCAL_FILE,
             related_id="1",
+        ),
+        File(
+            id="2",
+            tenant_id="test",
+            type=FileType.IMAGE,
+            filename="test2.jpg",
+            transfer_method=FileTransferMethod.LOCAL_FILE,
+            related_id="2",
+        ),
+    ]
+    llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], ArrayFileSegment(value=files))
+
+    result = llm_node._fetch_files(selector=["sys", "files"])
+    assert result == files
+
+
+def test_fetch_files_with_none_segment(llm_node):
+    llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], NoneSegment())
+
+    result = llm_node._fetch_files(selector=["sys", "files"])
+    assert result == []
+
+
+def test_fetch_files_with_array_any_segment(llm_node):
+    llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], ArrayAnySegment(value=[]))
+
+    result = llm_node._fetch_files(selector=["sys", "files"])
+    assert result == []
+
+
+def test_fetch_files_with_non_existent_variable(llm_node):
+    result = llm_node._fetch_files(selector=["sys", "files"])
+    assert result == []
+
+
+def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config):
+    prompt_template = []
+    llm_node.node_data.prompt_template = prompt_template
+
+    fake_vision_detail = faker.random_element(
+        [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
+    )
+    fake_remote_url = faker.url()
+    files = [
+        File(
+            id="1",
+            tenant_id="test",
+            type=FileType.IMAGE,
+            filename="test1.jpg",
+            transfer_method=FileTransferMethod.REMOTE_URL,
+            remote_url=fake_remote_url,
         )
-        llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], file)
+    ]
 
-        result = llm_node._fetch_files(selector=["sys", "files"])
-        assert result == [file]
+    fake_query = faker.sentence()
 
-    def test_fetch_files_with_array_file_segment(self, llm_node):
-        files = [
-            File(
-                id="1",
-                tenant_id="test",
-                type=FileType.IMAGE,
-                filename="test1.jpg",
-                transfer_method=FileTransferMethod.LOCAL_FILE,
-                related_id="1",
-            ),
-            File(
-                id="2",
-                tenant_id="test",
-                type=FileType.IMAGE,
-                filename="test2.jpg",
-                transfer_method=FileTransferMethod.LOCAL_FILE,
-                related_id="2",
-            ),
-        ]
-        llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], ArrayFileSegment(value=files))
+    prompt_messages, _ = llm_node._fetch_prompt_messages(
+        user_query=fake_query,
+        user_files=files,
+        context=None,
+        memory=None,
+        model_config=model_config,
+        prompt_template=prompt_template,
+        memory_config=None,
+        vision_enabled=False,
+        vision_detail=fake_vision_detail,
+        variable_pool=llm_node.graph_runtime_state.variable_pool,
+        jinja2_variables=[],
+    )
 
-        result = llm_node._fetch_files(selector=["sys", "files"])
-        assert result == files
+    assert prompt_messages == [UserPromptMessage(content=fake_query)]
 
-    def test_fetch_files_with_none_segment(self, llm_node):
-        llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], NoneSegment())
 
-        result = llm_node._fetch_files(selector=["sys", "files"])
-        assert result == []
+def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
+    # Setup dify config
+    dify_config.MULTIMODAL_SEND_IMAGE_FORMAT = "url"
+    dify_config.MULTIMODAL_SEND_VIDEO_FORMAT = "url"
 
-    def test_fetch_files_with_array_any_segment(self, llm_node):
-        llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], ArrayAnySegment(value=[]))
+    # Generate fake values for prompt template
+    fake_assistant_prompt = faker.sentence()
+    fake_query = faker.sentence()
+    fake_context = faker.sentence()
+    fake_window_size = faker.random_int(min=1, max=3)
+    fake_vision_detail = faker.random_element(
+        [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW]
+    )
+    fake_remote_url = faker.url()
 
-        result = llm_node._fetch_files(selector=["sys", "files"])
-        assert result == []
+    # Setup mock memory with history messages
+    mock_history = [
+        UserPromptMessage(content=faker.sentence()),
+        AssistantPromptMessage(content=faker.sentence()),
+        UserPromptMessage(content=faker.sentence()),
+        AssistantPromptMessage(content=faker.sentence()),
+        UserPromptMessage(content=faker.sentence()),
+        AssistantPromptMessage(content=faker.sentence()),
+    ]
 
-    def test_fetch_files_with_non_existent_variable(self, llm_node):
-        result = llm_node._fetch_files(selector=["sys", "files"])
-        assert result == []
+    # Setup memory configuration
+    memory_config = MemoryConfig(
+        role_prefix=MemoryConfig.RolePrefix(user="Human", assistant="Assistant"),
+        window=MemoryConfig.WindowConfig(enabled=True, size=fake_window_size),
+        query_prompt_template=None,
+    )
+
+    memory = MockTokenBufferMemory(history_messages=mock_history)
+
+    # Test scenarios covering different file input combinations
+    test_scenarios = [
+        LLMNodeTestScenario(
+            description="No files",
+            user_query=fake_query,
+            user_files=[],
+            features=[],
+            vision_enabled=False,
+            vision_detail=None,
+            window_size=fake_window_size,
+            prompt_template=[
+                LLMNodeChatModelMessage(
+                    text=fake_context,
+                    role=PromptMessageRole.SYSTEM,
+                    edition_type="basic",
+                ),
+                LLMNodeChatModelMessage(
+                    text="{#context#}",
+                    role=PromptMessageRole.USER,
+                    edition_type="basic",
+                ),
+                LLMNodeChatModelMessage(
+                    text=fake_assistant_prompt,
+                    role=PromptMessageRole.ASSISTANT,
+                    edition_type="basic",
+                ),
+            ],
+            expected_messages=[
+                SystemPromptMessage(content=fake_context),
+                UserPromptMessage(content=fake_context),
+                AssistantPromptMessage(content=fake_assistant_prompt),
+            ]
+            + mock_history[fake_window_size * -2 :]
+            + [
+                UserPromptMessage(content=fake_query),
+            ],
+        ),
+        LLMNodeTestScenario(
+            description="User files",
+            user_query=fake_query,
+            user_files=[
+                File(
+                    tenant_id="test",
+                    type=FileType.IMAGE,
+                    filename="test1.jpg",
+                    transfer_method=FileTransferMethod.REMOTE_URL,
+                    remote_url=fake_remote_url,
+                )
+            ],
+            vision_enabled=True,
+            vision_detail=fake_vision_detail,
+            features=[ModelFeature.VISION],
+            window_size=fake_window_size,
+            prompt_template=[
+                LLMNodeChatModelMessage(
+                    text=fake_context,
+                    role=PromptMessageRole.SYSTEM,
+                    edition_type="basic",
+                ),
+                LLMNodeChatModelMessage(
+                    text="{#context#}",
+                    role=PromptMessageRole.USER,
+                    edition_type="basic",
+                ),
+                LLMNodeChatModelMessage(
+                    text=fake_assistant_prompt,
+                    role=PromptMessageRole.ASSISTANT,
+                    edition_type="basic",
+                ),
+            ],
+            expected_messages=[
+                SystemPromptMessage(content=fake_context),
+                UserPromptMessage(content=fake_context),
+                AssistantPromptMessage(content=fake_assistant_prompt),
+            ]
+            + mock_history[fake_window_size * -2 :]
+            + [
+                UserPromptMessage(
+                    content=[
+                        TextPromptMessageContent(data=fake_query),
+                        ImagePromptMessageContent(data=fake_remote_url, detail=fake_vision_detail),
+                    ]
+                ),
+            ],
+        ),
+        LLMNodeTestScenario(
+            description="Prompt template with variable selector of File",
+            user_query=fake_query,
+            user_files=[],
+            vision_enabled=False,
+            vision_detail=fake_vision_detail,
+            features=[ModelFeature.VISION],
+            window_size=fake_window_size,
+            prompt_template=[
+                LLMNodeChatModelMessage(
+                    text="{{#input.image#}}",
+                    role=PromptMessageRole.USER,
+                    edition_type="basic",
+                ),
+            ],
+            expected_messages=[
+                UserPromptMessage(
+                    content=[
+                        ImagePromptMessageContent(data=fake_remote_url, detail=fake_vision_detail),
+                    ]
+                ),
+            ]
+            + mock_history[fake_window_size * -2 :]
+            + [UserPromptMessage(content=fake_query)],
+            file_variables={
+                "input.image": File(
+                    tenant_id="test",
+                    type=FileType.IMAGE,
+                    filename="test1.jpg",
+                    transfer_method=FileTransferMethod.REMOTE_URL,
+                    remote_url=fake_remote_url,
+                )
+            },
+        ),
+        LLMNodeTestScenario(
+            description="Prompt template with variable selector of File without vision feature",
+            user_query=fake_query,
+            user_files=[],
+            vision_enabled=True,
+            vision_detail=fake_vision_detail,
+            features=[],
+            window_size=fake_window_size,
+            prompt_template=[
+                LLMNodeChatModelMessage(
+                    text="{{#input.image#}}",
+                    role=PromptMessageRole.USER,
+                    edition_type="basic",
+                ),
+            ],
+            expected_messages=mock_history[fake_window_size * -2 :] + [UserPromptMessage(content=fake_query)],
+            file_variables={
+                "input.image": File(
+                    tenant_id="test",
+                    type=FileType.IMAGE,
+                    filename="test1.jpg",
+                    transfer_method=FileTransferMethod.REMOTE_URL,
+                    remote_url=fake_remote_url,
+                )
+            },
+        ),
+        LLMNodeTestScenario(
+            description="Prompt template with variable selector of File with video file and vision feature",
+            user_query=fake_query,
+            user_files=[],
+            vision_enabled=True,
+            vision_detail=fake_vision_detail,
+            features=[ModelFeature.VISION],
+            window_size=fake_window_size,
+            prompt_template=[
+                LLMNodeChatModelMessage(
+                    text="{{#input.image#}}",
+                    role=PromptMessageRole.USER,
+                    edition_type="basic",
+                ),
+            ],
+            expected_messages=mock_history[fake_window_size * -2 :] + [UserPromptMessage(content=fake_query)],
+            file_variables={
+                "input.image": File(
+                    tenant_id="test",
+                    type=FileType.VIDEO,
+                    filename="test1.mp4",
+                    transfer_method=FileTransferMethod.REMOTE_URL,
+                    remote_url=fake_remote_url,
+                    extension="mp4",
+                )
+            },
+        ),
+    ]
+
+    for scenario in test_scenarios:
+        model_config.model_schema.features = scenario.features
+
+        for k, v in scenario.file_variables.items():
+            selector = k.split(".")
+            llm_node.graph_runtime_state.variable_pool.add(selector, v)
+
+        # Call the method under test
+        prompt_messages, _ = llm_node._fetch_prompt_messages(
+            user_query=scenario.user_query,
+            user_files=scenario.user_files,
+            context=fake_context,
+            memory=memory,
+            model_config=model_config,
+            prompt_template=scenario.prompt_template,
+            memory_config=memory_config,
+            vision_enabled=scenario.vision_enabled,
+            vision_detail=scenario.vision_detail,
+            variable_pool=llm_node.graph_runtime_state.variable_pool,
+            jinja2_variables=[],
+        )
+
+        # Verify the result
+        assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}"
+        assert (
+            prompt_messages == scenario.expected_messages
+        ), f"Message content mismatch in scenario: {scenario.description}"

api/tests/unit_tests/core/workflow/nodes/llm/test_scenarios.py

@@ -0,0 +1,25 @@
+from collections.abc import Mapping, Sequence
+
+from pydantic import BaseModel, Field
+
+from core.file import File
+from core.model_runtime.entities.message_entities import PromptMessage
+from core.model_runtime.entities.model_entities import ModelFeature
+from core.workflow.nodes.llm.entities import LLMNodeChatModelMessage
+
+
+class LLMNodeTestScenario(BaseModel):
+    """Test scenario for LLM node testing."""
+
+    description: str = Field(..., description="Description of the test scenario")
+    user_query: str = Field(..., description="User query input")
+    user_files: Sequence[File] = Field(default_factory=list, description="List of user files")
+    vision_enabled: bool = Field(default=False, description="Whether vision is enabled")
+    vision_detail: str | None = Field(None, description="Vision detail level if vision is enabled")
+    features: Sequence[ModelFeature] = Field(default_factory=list, description="List of model features")
+    window_size: int = Field(..., description="Window size for memory")
+    prompt_template: Sequence[LLMNodeChatModelMessage] = Field(..., description="Template for prompt messages")
+    file_variables: Mapping[str, File | Sequence[File]] = Field(
+        default_factory=dict, description="List of file variables"
+    )
+    expected_messages: Sequence[PromptMessage] = Field(..., description="Expected messages after processing")

web/app/components/base/file-uploader/utils.ts

@@ -44,12 +44,6 @@ export const fileUpload: FileUpload = ({
 }
 
 export const getFileExtension = (fileName: string, fileMimetype: string, isRemote?: boolean) => {
-  if (fileMimetype)
-    return mime.getExtension(fileMimetype) || ''
-
-  if (isRemote)
-    return ''
-
   if (fileName) {
     const fileNamePair = fileName.split('.')
     const fileNamePairLength = fileNamePair.length
@@ -58,6 +52,12 @@ export const getFileExtension = (fileName: string, fileMimetype: string, isRemot
       return fileNamePair[fileNamePairLength - 1]
   }
 
+  if (fileMimetype)
+    return mime.getExtension(fileMimetype) || ''
+
+  if (isRemote)
+    return ''
+
   return ''
 }
 

web/app/components/workflow/nodes/llm/components/config-prompt-item.tsx

@@ -144,6 +144,7 @@ const ConfigPromptItem: FC<Props> = ({
       onEditionTypeChange={onEditionTypeChange}
       varList={varList}
       handleAddVariable={handleAddVariable}
+      isSupportFileVar
     />
   )
 }

web/app/components/workflow/nodes/llm/panel.tsx

@@ -67,6 +67,7 @@ const Panel: FC<NodePanelProps<LLMNodeType>> = ({
     handleStop,
     varInputs,
     runResult,
+    filterJinjia2InputVar,
   } = useConfig(id, data)
 
   const model = inputs.model
@@ -194,7 +195,7 @@ const Panel: FC<NodePanelProps<LLMNodeType>> = ({
               list={inputs.prompt_config?.jinja2_variables || []}
               onChange={handleVarListChange}
               onVarNameChange={handleVarNameChange}
-              filterVar={filterVar}
+              filterVar={filterJinjia2InputVar}
             />
           </Field>
         )}
@@ -233,6 +234,7 @@ const Panel: FC<NodePanelProps<LLMNodeType>> = ({
                 hasSetBlockStatus={hasSetBlockStatus}
                 nodesOutputVars={availableVars}
                 availableNodes={availableNodesWithParent}
+                isSupportFileVar
               />
 
               {inputs.memory.query_prompt_template && !inputs.memory.query_prompt_template.includes('{{#sys.query#}}') && (

web/app/components/workflow/nodes/llm/use-config.ts

@@ -278,11 +278,15 @@ const useConfig = (id: string, payload: LLMNodeType) => {
   }, [inputs, setInputs])
 
   const filterInputVar = useCallback((varPayload: Var) => {
+    return [VarType.number, VarType.string, VarType.secret, VarType.arrayString, VarType.arrayNumber, VarType.arrayFile].includes(varPayload.type)
+  }, [])
+
+  const filterJinjia2InputVar = useCallback((varPayload: Var) => {
     return [VarType.number, VarType.string, VarType.secret, VarType.arrayString, VarType.arrayNumber].includes(varPayload.type)
   }, [])
 
   const filterMemoryPromptVar = useCallback((varPayload: Var) => {
-    return [VarType.arrayObject, VarType.array, VarType.number, VarType.string, VarType.secret, VarType.arrayString, VarType.arrayNumber].includes(varPayload.type)
+    return [VarType.arrayObject, VarType.array, VarType.number, VarType.string, VarType.secret, VarType.arrayString, VarType.arrayNumber, VarType.arrayFile].includes(varPayload.type)
   }, [])
 
   const {
@@ -406,6 +410,7 @@ const useConfig = (id: string, payload: LLMNodeType) => {
     handleRun,
     handleStop,
     runResult,
+    filterJinjia2InputVar,
   }
 }
 

web/i18n/de-DE/common.ts

@@ -591,6 +591,10 @@ const translation = {
     uploadFromComputerReadError: 'Lesen der Datei fehlgeschlagen, bitte versuchen Sie es erneut.',
     fileExtensionNotSupport: 'Dateiendung nicht bedient',
   },
+  license: {
+    expiring: 'Läuft an einem Tag ab',
+    expiring_plural: 'Läuft in {{count}} Tagen ab',
+  },
 }
 
 export default translation

web/i18n/de-DE/login.ts

@@ -99,6 +99,12 @@ const translation = {
   noLoginMethodTip: 'Wenden Sie sich an den Systemadministrator, um eine Authentifizierungsmethode hinzuzufügen.',
   usePassword: 'Passwort verwenden',
   noLoginMethod: 'Authentifizierungsmethode nicht konfiguriert',
+  licenseExpired: 'Lizenz abgelaufen',
+  licenseLostTip: 'Fehler beim Verbinden des Dify-Lizenzservers. Wenden Sie sich an Ihren Administrator, um Dify weiterhin zu verwenden.',
+  licenseInactive: 'Lizenz inaktiv',
+  licenseInactiveTip: 'Die Dify Enterprise-Lizenz für Ihren Arbeitsbereich ist inaktiv. Wenden Sie sich an Ihren Administrator, um Dify weiterhin zu verwenden.',
+  licenseExpiredTip: 'Die Dify Enterprise-Lizenz für Ihren Arbeitsbereich ist abgelaufen. Wenden Sie sich an Ihren Administrator, um Dify weiterhin zu verwenden.',
+  licenseLost: 'Lizenz verloren',
 }
 
 export default translation

web/i18n/de-DE/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: 'Art',
       binaryFileVariable: 'Variable der Binärdatei',
+      extractListPlaceholder: 'Geben Sie den Index des Listeneintrags ein, geben Sie \'/\' ein, fügen Sie die Variable ein',
     },
     code: {
       inputVars: 'Eingabevariablen',
@@ -618,6 +619,7 @@ const translation = {
       filterConditionKey: 'Bedingungsschlüssel filtern',
       filterCondition: 'Filter-Bedingung',
       selectVariableKeyPlaceholder: 'Untervariablenschlüssel auswählen',
+      extractsCondition: 'Extrahieren des N-Elements',
     },
   },
   tracing: {

web/i18n/es-ES/common.ts

@@ -591,6 +591,10 @@ const translation = {
     pasteFileLinkInputPlaceholder: 'Introduzca la URL...',
     uploadFromComputerLimit: 'El archivo de carga no puede exceder {{size}}',
   },
+  license: {
+    expiring: 'Caduca en un día',
+    expiring_plural: 'Caducando en {{count}} días',
+  },
 }
 
 export default translation

web/i18n/es-ES/login.ts

@@ -99,6 +99,12 @@ const translation = {
   noLoginMethod: 'Método de autenticación no configurado',
   setYourAccount: 'Configura tu cuenta',
   noLoginMethodTip: 'Póngase en contacto con el administrador del sistema para agregar un método de autenticación.',
+  licenseInactive: 'Licencia inactiva',
+  licenseInactiveTip: 'La licencia de Dify Enterprise para su espacio de trabajo está inactiva. Póngase en contacto con su administrador para seguir utilizando Dify.',
+  licenseExpired: 'Licencia caducada',
+  licenseLost: 'Licencia perdida',
+  licenseExpiredTip: 'La licencia de Dify Enterprise para su espacio de trabajo ha caducado. Póngase en contacto con su administrador para seguir utilizando Dify.',
+  licenseLostTip: 'No se pudo conectar el servidor de licencias de Dife. Póngase en contacto con su administrador para seguir utilizando Dify.',
 }
 
 export default translation

web/i18n/es-ES/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: 'Tipo',
       binaryFileVariable: 'Variable de archivo binario',
+      extractListPlaceholder: 'Introduzca el índice de elementos de la lista, escriba \'/\' insertar variable',
     },
     code: {
       inputVars: 'Variables de entrada',
@@ -621,6 +622,7 @@ const translation = {
       filterConditionComparisonOperator: 'Operador de comparación de condiciones de filtro',
       asc: 'ASC',
       selectVariableKeyPlaceholder: 'Seleccione la clave de subvariable',
+      extractsCondition: 'Extraiga el elemento N',
     },
   },
   tracing: {

web/i18n/fa-IR/common.ts

@@ -591,6 +591,10 @@ const translation = {
     pasteFileLink: 'پیوند فایل را جایگذاری کنید',
     uploadFromComputerLimit: 'آپلود فایل نمی تواند از {{size}} تجاوز کند',
   },
+  license: {
+    expiring_plural: 'انقضا در {{count}} روز',
+    expiring: 'انقضا در یک روز',
+  },
 }
 
 export default translation

web/i18n/fa-IR/login.ts

@@ -99,6 +99,12 @@ const translation = {
   noLoginMethod: 'روش احراز هویت پیکربندی نشده است',
   noLoginMethodTip: 'لطفا برای افزودن روش احراز هویت با مدیر سیستم تماس بگیرید.',
   resetPasswordDesc: 'ایمیلی را که برای ثبت نام در Dify استفاده کرده اید تایپ کنید و ما یک ایمیل بازنشانی رمز عبور برای شما ارسال خواهیم کرد.',
+  licenseInactive: 'مجوز غیر فعال',
+  licenseLost: 'مجوز گم شده است',
+  licenseExpired: 'مجوز منقضی شده است',
+  licenseExpiredTip: 'مجوز Dify Enterprise برای فضای کاری شما منقضی شده است. لطفا برای ادامه استفاده از Dify با سرپرست خود تماس بگیرید.',
+  licenseInactiveTip: 'مجوز Dify Enterprise برای فضای کاری شما غیرفعال است. لطفا برای ادامه استفاده از Dify با سرپرست خود تماس بگیرید.',
+  licenseLostTip: 'اتصال سرور مجوز Dify انجام نشد. لطفا برای ادامه استفاده از Dify با سرپرست خود تماس بگیرید.',
 }
 
 export default translation

web/i18n/fa-IR/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       binaryFileVariable: 'متغیر فایل باینری',
       type: 'نوع',
+      extractListPlaceholder: 'فهرست آیتم لیست را وارد کنید، متغیر درج \'/\' را تایپ کنید',
     },
     code: {
       inputVars: 'متغیرهای ورودی',
@@ -618,6 +619,7 @@ const translation = {
       filterConditionComparisonValue: 'مقدار شرایط فیلتر',
       selectVariableKeyPlaceholder: 'کلید متغیر فرعی را انتخاب کنید',
       asc: 'صعودی',
+      extractsCondition: 'مورد N را استخراج کنید',
     },
   },
   tracing: {

web/i18n/fr-FR/common.ts

@@ -591,6 +591,10 @@ const translation = {
     pasteFileLinkInvalid: 'Lien de fichier non valide',
     uploadFromComputerLimit: 'Le fichier de téléchargement ne peut pas dépasser {{size}}',
   },
+  license: {
+    expiring: 'Expirant dans un jour',
+    expiring_plural: 'Expirant dans {{count}} jours',
+  },
 }
 
 export default translation

web/i18n/fr-FR/login.ts

@@ -99,6 +99,12 @@ const translation = {
   noLoginMethodTip: 'Veuillez contacter l’administrateur système pour ajouter une méthode d’authentification.',
   resetPasswordDesc: 'Tapez l’adresse e-mail que vous avez utilisée pour vous inscrire sur Dify et nous vous enverrons un e-mail de réinitialisation de mot de passe.',
   usePassword: 'Utiliser le mot de passe',
+  licenseInactiveTip: 'La licence Dify Enterprise de votre espace de travail est inactive. Veuillez contacter votre administrateur pour continuer à utiliser Dify.',
+  licenseLostTip: 'Échec de la connexion au serveur de licences Dify. Veuillez contacter votre administrateur pour continuer à utiliser Dify.',
+  licenseExpired: 'Licence expirée',
+  licenseLost: 'Licence perdue',
+  licenseExpiredTip: 'La licence Dify Enterprise de votre espace de travail a expiré. Veuillez contacter votre administrateur pour continuer à utiliser Dify.',
+  licenseInactive: 'Licence inactive',
 }
 
 export default translation

web/i18n/fr-FR/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       binaryFileVariable: 'Variable de fichier binaire',
       type: 'Type',
+      extractListPlaceholder: 'Entrez l’index de l’élément de liste, tapez \'/\' insérer la variable',
     },
     code: {
       inputVars: 'Variables de saisie',
@@ -618,6 +619,7 @@ const translation = {
       limit: 'Haut N',
       orderBy: 'Trier par',
       filterConditionKey: 'Clé de condition de filtre',
+      extractsCondition: 'Extraire l’élément N',
     },
   },
   tracing: {

web/i18n/hi-IN/common.ts

@@ -613,6 +613,10 @@ const translation = {
     fileExtensionNotSupport: 'फ़ाइल एक्सटेंशन समर्थित नहीं है',
     uploadFromComputer: 'स्थानीय अपलोड',
   },
+  license: {
+    expiring: 'एक दिन में समाप्त हो रहा है',
+    expiring_plural: '{{गिनती}} दिनों में समाप्त हो रहा है',
+  },
 }
 
 export default translation

web/i18n/hi-IN/login.ts

@@ -104,6 +104,12 @@ const translation = {
   resetPasswordDesc: 'वह ईमेल टाइप करें जिसका उपयोग आपने Dify पर साइन अप करने के लिए किया था और हम आपको एक पासवर्ड रीसेट ईमेल भेजेंगे।',
   withSSO: 'एसएसओ के साथ जारी रखें',
   back: 'पीछे',
+  licenseInactive: 'लाइसेंस निष्क्रिय',
+  licenseExpired: 'लाइसेंस की समय सीमा समाप्त हो गई',
+  licenseLost: 'लाइसेंस खो गया',
+  licenseLostTip: 'Dify लायसेंस सर्वर से कनेक्ट करने में विफल. Dify का उपयोग जारी रखने के लिए कृपया अपने व्यवस्थापक से संपर्क करें.',
+  licenseInactiveTip: 'आपके कार्यस्थल के लिए डिफाई एंटरप्राइज लाइसेंस निष्क्रिय है। कृपया डिफाई का उपयोग जारी रखने के लिए अपने प्रशासक से संपर्क करें।',
+  licenseExpiredTip: 'आपके कार्यस्थल के लिए डिफाई एंटरप्राइज लाइसेंस समाप्त हो गया है। कृपया डिफाई का उपयोग जारी रखने के लिए अपने प्रशासक से संपर्क करें।',
 }
 
 export default translation

web/i18n/hi-IN/workflow.ts

@@ -420,6 +420,7 @@ const translation = {
       },
       type: 'प्रकार',
       binaryFileVariable: 'बाइनरी फ़ाइल चर',
+      extractListPlaceholder: 'सूची आइटम इंडेक्स दर्ज करें, \'/\' इन्सर्ट वेरिएबल टाइप करें',
     },
     code: {
       inputVars: 'इनपुट वेरिएबल्स',
@@ -638,6 +639,7 @@ const translation = {
       filterConditionComparisonOperator: 'फ़िल्टर शर्त तुलन ऑपरेटर',
       selectVariableKeyPlaceholder: 'उप चर कुंजी का चयन करें',
       inputVar: 'इनपुट वेरिएबल',
+      extractsCondition: 'N आइटम निकालें',
     },
   },
   tracing: {

web/i18n/it-IT/common.ts

@@ -622,6 +622,10 @@ const translation = {
     pasteFileLink: 'Incolla il collegamento del file',
     uploadFromComputerReadError: 'Lettura del file non riuscita, riprovare.',
   },
+  license: {
+    expiring_plural: 'Scadenza tra {{count}} giorni',
+    expiring: 'Scadenza in un giorno',
+  },
 }
 
 export default translation

web/i18n/it-IT/login.ts

@@ -109,6 +109,12 @@ const translation = {
   resetPasswordDesc: 'Digita l\'e-mail che hai utilizzato per registrarti su Dify e ti invieremo un\'e-mail per reimpostare la password.',
   noLoginMethodTip: 'Contatta l\'amministratore di sistema per aggiungere un metodo di autenticazione.',
   enterYourName: 'Inserisci il tuo nome utente',
+  licenseLostTip: 'Impossibile connettersi al server licenze Dify. Contatta il tuo amministratore per continuare a utilizzare Dify.',
+  licenseExpired: 'Licenza scaduta',
+  licenseLost: 'Licenza persa',
+  licenseExpiredTip: 'La licenza Dify Enterprise per la tua area di lavoro è scaduta. Contatta il tuo amministratore per continuare a utilizzare Dify.',
+  licenseInactiveTip: 'La licenza Dify Enterprise per la tua area di lavoro è inattiva. Contatta il tuo amministratore per continuare a utilizzare Dify.',
+  licenseInactive: 'Licenza inattiva',
 }
 
 export default translation

web/i18n/it-IT/workflow.ts

@@ -424,6 +424,7 @@ const translation = {
       },
       binaryFileVariable: 'Variabile file binario',
       type: 'Digitare',
+      extractListPlaceholder: 'Inserisci l\'indice delle voci dell\'elenco, digita \'/\' inserisci la variabile',
     },
     code: {
       inputVars: 'Variabili di Input',
@@ -645,6 +646,7 @@ const translation = {
       desc: 'DESC',
       filterConditionComparisonValue: 'Valore della condizione di filtro',
       orderBy: 'Ordina per',
+      extractsCondition: 'Estrai l\'elemento N',
     },
   },
   tracing: {

web/i18n/ja-JP/common.ts

@@ -591,6 +591,10 @@ const translation = {
     fileExtensionNotSupport: 'ファイル拡張子はサポートされていません',
     pasteFileLinkInvalid: '無効なファイルリンク',
   },
+  license: {
+    expiring_plural: '有効期限 {{count}} 日',
+    expiring: '1日で有効期限が切れます',
+  },
 }
 
 export default translation

web/i18n/ja-JP/login.ts

@@ -99,6 +99,12 @@ const translation = {
   sendVerificationCode: '確認コードの送信',
   enterYourName: 'ユーザー名を入力してください',
   resetPasswordDesc: 'Difyへのサインアップに使用したメールアドレスを入力すると、パスワードリセットメールが送信されます。',
+  licenseLost: 'ライセンスを失った',
+  licenseExpiredTip: 'ワークスペースの Dify Enterprise ライセンスの有効期限が切れています。Difyを引き続き使用するには、管理者に連絡してください。',
+  licenseInactive: 'ライセンスが非アクティブです',
+  licenseInactiveTip: 'ワークスペースの Dify Enterprise ライセンスが非アクティブです。Difyを引き続き使用するには、管理者に連絡してください。',
+  licenseExpired: 'ライセンスの有効期限が切れています',
+  licenseLostTip: 'Difyライセンスサーバーへの接続に失敗しました。続けてDifyを使用するために管理者に連絡してください。',
 }
 
 export default translation

web/i18n/ja-JP/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: 'タイプ',
       binaryFileVariable: 'バイナリファイル変数',
+      extractListPlaceholder: 'リスト項目のインデックスを入力し、変数を挿入 \'/\' と入力します',
     },
     code: {
       inputVars: '入力変数',
@@ -619,6 +620,7 @@ const translation = {
       filterConditionComparisonOperator: 'フィルター条件を比較オペレーター',
       inputVar: '入力変数',
       desc: 'DESC',
+      extractsCondition: 'N個のアイテムを抽出します',
     },
   },
   tracing: {

web/i18n/ko-KR/common.ts

@@ -587,6 +587,10 @@ const translation = {
     uploadFromComputerLimit: '업로드 파일은 {{size}}를 초과할 수 없습니다.',
     uploadFromComputerUploadError: '파일 업로드에 실패했습니다. 다시 업로드하십시오.',
   },
+  license: {
+    expiring_plural: '{{count}}일 후에 만료',
+    expiring: '하루 후에 만료',
+  },
 }
 
 export default translation

web/i18n/ko-KR/login.ts

@@ -99,6 +99,12 @@ const translation = {
   enterYourName: '사용자 이름을 입력해 주세요',
   noLoginMethodTip: '인증 방법을 추가하려면 시스템 관리자에게 문의하십시오.',
   resetPasswordDesc: 'Dify에 가입할 때 사용한 이메일을 입력하면 비밀번호 재설정 이메일을 보내드립니다.',
+  licenseInactiveTip: '작업 영역에 대한 Dify Enterprise 라이선스가 비활성 상태입니다. Dify를 계속 사용하려면 관리자에게 문의하십시오.',
+  licenseLost: '라이센스 분실',
+  licenseLostTip: 'Dify 라이선스 서버에 연결하지 못했습니다. Dify를 계속 사용하려면 관리자에게 문의하십시오.',
+  licenseInactive: 'License Inactive(라이선스 비활성)',
+  licenseExpired: '라이센스가 만료되었습니다.',
+  licenseExpiredTip: '작업 영역에 대한 Dify Enterprise 라이선스가 만료되었습니다. Dify를 계속 사용하려면 관리자에게 문의하십시오.',
 }
 
 export default translation

web/i18n/ko-KR/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: '형',
       binaryFileVariable: '바이너리 파일 변수',
+      extractListPlaceholder: '목록 항목 인덱스 입력, \'/\' 변수 삽입',
     },
     code: {
       inputVars: '입력 변수',
@@ -618,6 +619,7 @@ const translation = {
       orderBy: '정렬 기준',
       selectVariableKeyPlaceholder: '하위 변수 키 선택',
       filterConditionComparisonOperator: '필터 조건 비교 연산자',
+      extractsCondition: 'N 항목을 추출합니다.',
     },
   },
   tracing: {

web/i18n/pl-PL/common.ts

@@ -609,6 +609,10 @@ const translation = {
     fileExtensionNotSupport: 'Rozszerzenie pliku nie jest obsługiwane',
     uploadFromComputer: 'Przesyłanie lokalne',
   },
+  license: {
+    expiring_plural: 'Wygasa za {{count}} dni',
+    expiring: 'Wygasa w ciągu jednego dnia',
+  },
 }
 
 export default translation

web/i18n/pl-PL/login.ts

@@ -104,6 +104,12 @@ const translation = {
   or: 'LUB',
   noLoginMethodTip: 'Skontaktuj się z administratorem systemu, aby dodać metodę uwierzytelniania.',
   noLoginMethod: 'Nie skonfigurowano metody uwierzytelniania',
+  licenseLost: 'Utrata licencji',
+  licenseExpired: 'Licencja wygasła',
+  licenseInactive: 'Licencja nieaktywna',
+  licenseExpiredTip: 'Licencja Dify Enterprise dla Twojego obszaru roboczego wygasła. Skontaktuj się z administratorem, aby kontynuować korzystanie z Dify.',
+  licenseLostTip: 'Nie udało się nawiązać połączenia z serwerem licencji Dify. Skontaktuj się z administratorem, aby kontynuować korzystanie z Dify.',
+  licenseInactiveTip: 'Licencja Dify Enterprise dla Twojego obszaru roboczego jest nieaktywna. Skontaktuj się z administratorem, aby kontynuować korzystanie z Dify.',
 }
 
 export default translation

web/i18n/pl-PL/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: 'Typ',
       binaryFileVariable: 'Binarna zmienna pliku',
+      extractListPlaceholder: 'Wprowadź indeks elementu listy, wpisz "/" wstaw zmienną',
     },
     code: {
       inputVars: 'Zmienne wejściowe',
@@ -618,6 +619,7 @@ const translation = {
       filterCondition: 'Stan filtra',
       filterConditionComparisonValue: 'Wartość warunku filtru',
       selectVariableKeyPlaceholder: 'Wybierz klucz zmiennej podrzędnej',
+      extractsCondition: 'Wyodrębnij element N',
     },
   },
   tracing: {

web/i18n/pt-BR/common.ts

@@ -591,6 +591,10 @@ const translation = {
     uploadFromComputerLimit: 'Carregar arquivo não pode exceder {{size}}',
     uploadFromComputerUploadError: 'Falha no upload do arquivo, faça o upload novamente.',
   },
+  license: {
+    expiring: 'Expirando em um dia',
+    expiring_plural: 'Expirando em {{count}} dias',
+  },
 }
 
 export default translation

web/i18n/pt-BR/login.ts

@@ -99,6 +99,12 @@ const translation = {
   resetPasswordDesc: 'Digite o e-mail que você usou para se inscrever no Dify e enviaremos um e-mail de redefinição de senha.',
   sendVerificationCode: 'Enviar código de verificação',
   usePassword: 'Usar senha',
+  licenseInactiveTip: 'A licença do Dify Enterprise para seu espaço de trabalho está inativa. Entre em contato com o administrador para continuar usando o Dify.',
+  licenseLostTip: 'Falha ao conectar o servidor de licenças Dify. Entre em contato com o administrador para continuar usando o Dify.',
+  licenseExpired: 'Licença expirada',
+  licenseLost: 'Licença perdida',
+  licenseInactive: 'Licença inativa',
+  licenseExpiredTip: 'A licença do Dify Enterprise para seu espaço de trabalho expirou. Entre em contato com o administrador para continuar usando o Dify.',
 }
 
 export default translation

web/i18n/pt-BR/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: 'Tipo',
       binaryFileVariable: 'Variável de arquivo binário',
+      extractListPlaceholder: 'Insira o índice do item da lista, digite \'/\' inserir variável',
     },
     code: {
       inputVars: 'Variáveis de entrada',
@@ -618,6 +619,7 @@ const translation = {
       filterConditionKey: 'Chave de condição do filtro',
       filterConditionComparisonOperator: 'Operador de comparação de condição de filtro',
       filterConditionComparisonValue: 'Valor da condição do filtro',
+      extractsCondition: 'Extraia o item N',
     },
   },
   tracing: {

web/i18n/ro-RO/common.ts

@@ -591,6 +591,10 @@ const translation = {
     uploadFromComputerLimit: 'Încărcarea fișierului nu poate depăși {{size}}',
     pasteFileLink: 'Lipiți linkul fișierului',
   },
+  license: {
+    expiring: 'Expiră într-o zi',
+    expiring_plural: 'Expiră în {{count}} zile',
+  },
 }
 
 export default translation

web/i18n/ro-RO/login.ts

@@ -99,6 +99,12 @@ const translation = {
   or: 'SAU',
   resetPasswordDesc: 'Tastați e-mailul pe care l-ați folosit pentru a vă înscrie pe Dify și vă vom trimite un e-mail de resetare a parolei.',
   changePasswordBtn: 'Setați o parolă',
+  licenseLostTip: 'Nu s-a reușit conectarea serverului de licențe Dify. Contactați administratorul pentru a continua să utilizați Dify.',
+  licenseInactive: 'Licență inactivă',
+  licenseInactiveTip: 'Licența Dify Enterprise pentru spațiul de lucru este inactivă. Contactați administratorul pentru a continua să utilizați Dify.',
+  licenseExpired: 'Licență expirată',
+  licenseLost: 'Licență pierdută',
+  licenseExpiredTip: 'Licența Dify Enterprise pentru spațiul de lucru a expirat. Contactați administratorul pentru a continua să utilizați Dify.',
 }
 
 export default translation

web/i18n/ro-RO/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: 'Tip',
       binaryFileVariable: 'Variabilă de fișier binar',
+      extractListPlaceholder: 'Introduceți indexul elementelor din listă, tastați "/" inserați variabila',
     },
     code: {
       inputVars: 'Variabile de intrare',
@@ -618,6 +619,7 @@ const translation = {
       limit: 'N de sus',
       filterConditionComparisonValue: 'Valoare Stare filtrare',
       asc: 'ASC',
+      extractsCondition: 'Extrageți elementul N',
     },
   },
   tracing: {

web/i18n/ru-RU/common.ts

@@ -591,6 +591,10 @@ const translation = {
     uploadFromComputerLimit: 'Файл загрузки не может превышать {{size}}',
     uploadFromComputerUploadError: 'Загрузка файла не удалась, пожалуйста, загрузите еще раз.',
   },
+  license: {
+    expiring: 'Срок действия истекает за один день',
+    expiring_plural: 'Срок действия истекает через {{count}} дней',
+  },
 }
 
 export default translation

web/i18n/ru-RU/login.ts

@@ -99,6 +99,12 @@ const translation = {
   noLoginMethodTip: 'Обратитесь к системному администратору, чтобы добавить метод аутентификации.',
   resetPasswordDesc: 'Введите адрес электронной почты, который вы использовали для регистрации в Dify, и мы отправим вам электронное письмо для сброса пароля.',
   or: 'ИЛИ',
+  licenseInactive: 'Лицензия неактивна',
+  licenseLostTip: 'Не удалось подключить сервер лицензий Dify. Обратитесь к своему администратору, чтобы продолжить использование Dify.',
+  licenseExpired: 'Срок действия лицензии истек',
+  licenseLost: 'Утеряна лицензия',
+  licenseInactiveTip: 'Лицензия Dify Enterprise для рабочего пространства неактивна. Обратитесь к своему администратору, чтобы продолжить использование Dify.',
+  licenseExpiredTip: 'Срок действия лицензии Dify Enterprise для рабочего пространства истек. Обратитесь к своему администратору, чтобы продолжить использование Dify.',
 }
 
 export default translation

web/i18n/ru-RU/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: 'Тип',
       binaryFileVariable: 'Переменная двоичного файла',
+      extractListPlaceholder: 'Введите индекс элемента списка, введите \'/\' вставьте переменную',
     },
     code: {
       inputVars: 'Входные переменные',
@@ -618,6 +619,7 @@ const translation = {
       filterConditionKey: 'Ключ условия фильтра',
       selectVariableKeyPlaceholder: 'Выбор ключа подпеременной',
       filterConditionComparisonValue: 'Значение условия фильтра',
+      extractsCondition: 'Извлечение элемента N',
     },
   },
   tracing: {

web/i18n/sl-SI/common.ts

@@ -38,6 +38,10 @@ const translation = {
     duplicate: 'Podvoji',
     rename: 'Preimenuj',
     audioSourceUnavailable: 'Zvočni vir ni na voljo',
+    copyImage: 'Kopiraj sliko',
+    openInNewTab: 'Odpri v novem zavihku',
+    zoomOut: 'Pomanjšanje',
+    zoomIn: 'Povečava',
   },
   errorMsg: {
     fieldRequired: '{{field}} je obvezno',
@@ -576,5 +580,220 @@ const translation = {
       failed: 'Ustvarjanje oznake ni uspelo',
     },
   },
+  dataSource: {
+    notion: {
+      selector: {
+        pageSelected: 'Izbrane strani',
+        addPages: 'Dodajanje strani',
+        searchPages: 'Iskanje strani ...',
+        noSearchResult: 'Ni rezultatov iskanja',
+        preview: 'PREDOGLED',
+      },
+      connected: 'Povezani',
+      remove: 'Odstrani',
+      addWorkspace: 'Dodajanje delovnega prostora',
+      connectedWorkspace: 'Povezani delovni prostor',
+      description: 'Uporaba pojma kot vira podatkov za znanje.',
+      disconnected: 'Odklopi',
+      pagesAuthorized: 'Dovoljene strani',
+      title: 'Pojem',
+      changeAuthorizedPages: 'Spreminjanje pooblaščenih strani',
+      sync: 'Sinhroniziranje',
+    },
+    website: {
+      active: 'Dejaven',
+      configuredCrawlers: 'Konfigurirani pajki',
+      title: 'Spletna stran',
+      inactive: 'Neaktiven',
+      description: 'Uvozite vsebino s spletnih mest s spletnim pajkom.',
+      with: 'S',
+    },
+    add: 'Dodajanje vira podatkov',
+    connect: 'Povezati',
+    configure: 'Konfigurirati',
+  },
+  plugin: {
+    serpapi: {
+      apiKeyPlaceholder: 'Vnesite ključ API',
+      apiKey: 'API ključ',
+      keyFrom: 'Pridobite svoj ključ SerpAPI na strani računa SerpAPI',
+    },
+  },
+  apiBasedExtension: {
+    selector: {
+      placeholder: 'Prosimo, izberite razširitev API-ja',
+      manage: 'Upravljanje razširitve API',
+      title: 'Razširitev API-ja',
+    },
+    modal: {
+      name: {
+        placeholder: 'Prosimo, vnesite ime',
+        title: 'Ime',
+      },
+      apiEndpoint: {
+        title: 'Končna točka API-ja',
+        placeholder: 'Prosimo, vnesite končno točko API-ja',
+      },
+      apiKey: {
+        lengthError: 'Dolžina ključa API ne sme biti manjša od 5 znakov',
+        title: 'Ključ API-ja',
+        placeholder: 'Prosimo, vnesite API-ključ',
+      },
+      editTitle: 'Uredi razširitev API-ja',
+      title: 'Dodajanje razširitve API-ja',
+    },
+    type: 'Vrsta',
+    link: 'Preberite, kako razvijete lastno razširitev API-ja.',
+    title: 'Razširitve API zagotavljajo centralizirano upravljanje API, kar poenostavlja konfiguracijo za enostavno uporabo v aplikacijah Dify.',
+    linkUrl: 'https://docs.dify.ai/features/extension/api_based_extension',
+    add: 'Dodajanje razširitve API-ja',
+  },
+  about: {
+    updateNow: 'Posodobi zdaj',
+    nowAvailable: 'Dify {{version}} je zdaj na voljo.',
+    latestAvailable: 'Dify {{version}} je najnovejša različica, ki je na voljo.',
+    changeLog: 'Dnevnik sprememb',
+  },
+  appMenus: {
+    apiAccess: 'Dostop do API-ja',
+    logs: 'Dnevniki',
+    logAndAnn: 'Dnevniki & Ann.',
+    promptEng: 'Orkester',
+    overview: 'Spremljanje',
+  },
+  environment: {
+    development: 'RAZVOJ',
+    testing: 'PREIZKUŠANJE',
+  },
+  appModes: {
+    completionApp: 'Generator besedila',
+    chatApp: 'Aplikacija za klepet',
+  },
+  datasetMenus: {
+    documents: 'Dokumentov',
+    settings: 'Nastavitve',
+    hitTesting: 'Testiranje pridobivanja',
+    emptyTip: 'Znanje ni bilo povezano, prosimo, pojdite na aplikacijo ali vtičnik, da dokončate združenje.',
+    viewDoc: 'Oglejte si dokumentacijo',
+    relatedApp: 'Povezane aplikacije',
+  },
+  voiceInput: {
+    notAllow: 'Mikrofon ni pooblaščen',
+    speaking: 'Spregovorite zdaj ...',
+    converting: 'Pretvorba v besedilo ...',
+  },
+  modelName: {
+    'claude-2': 'Claude-2',
+    'gpt-4-32k': 'GPT-4-32K',
+    'text-embedding-ada-002': 'Vdelava besedila-Ada-002',
+    'gpt-4': 'GPT-4',
+    'whisper-1': 'Šepet-1',
+    'claude-instant-1': 'Claude-Instant',
+    'text-davinci-003': 'Besedilo-Davinci-003',
+    'gpt-3.5-turbo-16k': 'GPT-3.5-Turbo-16K',
+    'gpt-3.5-turbo': 'GPT-3.5-Turbo',
+  },
+  chat: {
+    citation: {
+      vectorHash: 'Vektorska razpršitev:',
+      hitScore: 'Rezultat pridobivanja:',
+      linkToDataset: 'Povezava do znanja',
+      hitCount: 'Število pridobivanja:',
+      characters: 'Znakov:',
+      title: 'CITATI',
+    },
+    conversationNameCanNotEmpty: 'Zahtevano ime pogovora',
+    inputPlaceholder: 'Pogovorite se z botom',
+    renameConversation: 'Preimenovanje pogovora',
+    conversationName: 'Ime pogovora',
+    conversationNamePlaceholder: 'Prosimo, vnesite ime pogovora',
+  },
+  promptEditor: {
+    context: {
+      item: {
+        desc: 'Vstavljanje predloge konteksta',
+        title: 'Kontekstu',
+      },
+      modal: {
+        footer: 'Kontekste lahko upravljate v spodnjem razdelku Kontekst.',
+        title: '{{num}} Znanje v kontekstu',
+        add: 'Dodajanje konteksta',
+      },
+    },
+    history: {
+      item: {
+        desc: 'Vstavljanje predloge zgodovinskega sporočila',
+        title: 'Zgodovina pogovorov',
+      },
+      modal: {
+        title: 'PRIMER',
+        edit: 'Urejanje imen vlog v pogovoru',
+        assistant: 'Zdravo! Kako vam lahko pomagam danes?',
+        user: 'Zdravo',
+      },
+    },
+    variable: {
+      item: {
+        desc: 'Vstavljanje spremenljivk in zunanjih orodij',
+        title: 'Spremenljivke in zunanja orodja',
+      },
+      outputToolDisabledItem: {
+        title: 'Spremenljivke',
+        desc: 'Vstavljanje spremenljivk',
+      },
+      modal: {
+        addTool: 'Novo orodje',
+        add: 'Nova spremenljivka',
+      },
+    },
+    query: {
+      item: {
+        title: 'Poizvedba',
+        desc: 'Vstavljanje predloge uporabniške poizvedbe',
+      },
+    },
+    existed: 'Že obstaja v pozivu',
+    placeholder: 'Tukaj vnesite svojo pozivno besedo, vnesite \'{\' za vstavljanje spremenljivke, vnesite \'/\', da vstavite blok vsebine',
+  },
+  imageUploader: {
+    pasteImageLinkInvalid: 'Neveljavna povezava do slike',
+    uploadFromComputerLimit: 'Nalaganje slik ne sme presegati {{size}} MB',
+    uploadFromComputerUploadError: 'Nalaganje slike ni uspelo, naložite ga znova.',
+    pasteImageLink: 'Prilepi povezavo do slike',
+    imageUpload: 'Nalaganje slik',
+    uploadFromComputer: 'Naloži iz računalnika',
+    pasteImageLinkInputPlaceholder: 'Tukaj prilepi povezavo do slike',
+    uploadFromComputerReadError: 'Branje slik ni uspelo, poskusite znova.',
+  },
+  fileUploader: {
+    fileExtensionNotSupport: 'Datotečna pripona ni podprta',
+    pasteFileLinkInvalid: 'Neveljavna povezava do datoteke',
+    pasteFileLink: 'Prilepi povezavo do datoteke',
+    pasteFileLinkInputPlaceholder: 'Vnesite URL ...',
+    uploadFromComputerUploadError: 'Nalaganje datoteke ni uspelo, naložite ga znova.',
+    uploadFromComputer: 'Lokalno nalaganje',
+    uploadFromComputerLimit: 'Nalaganje {{type}} ne sme presegati {{size}}',
+    uploadFromComputerReadError: 'Branje datoteke ni uspelo, poskusite znova.',
+  },
+  tag: {
+    addTag: 'Dodajanje oznak',
+    delete: 'Brisanje oznake',
+    manageTags: 'Upravljanje oznak',
+    addNew: 'Dodajanje nove oznake',
+    placeholder: 'Vse oznake',
+    failed: 'Ustvarjanje oznake ni uspelo',
+    editTag: 'Urejanje oznak',
+    created: 'Oznaka je bila uspešno ustvarjena',
+    noTagYet: 'Še ni oznak',
+    create: 'Ustvariti',
+    deleteTip: 'Oznaka se uporablja, jo izbrišite?',
+    noTag: 'Brez oznak',
+    selectorPlaceholder: 'Vnesite za iskanje ali ustvarjanje',
+  },
+  license: {
+    expiring_plural: 'Poteče v {{count}} dneh',
+    expiring: 'Poteče v enem dnevu',
+  },
 }
+
 export default translation

web/i18n/sl-SI/dataset-creation.ts

@@ -152,6 +152,7 @@ const translation = {
     indexSettingTip: 'Če želite spremeniti način indeksiranja in model vdelave, pojdite na ',
     retrievalSettingTip: 'Če želite spremeniti nastavitve iskanja, pojdite na ',
     datasetSettingLink: 'nastavitve Znanja.',
+    maxLengthCheck: 'Največja dolžina kosa mora biti manjša od 4000',
   },
   stepThree: {
     creationTitle: '🎉 Znanje ustvarjeno',

web/i18n/sl-SI/login.ts

@@ -55,6 +55,7 @@ const translation = {
     passwordEmpty: 'Geslo je obvezno',
     passwordLengthInValid: 'Geslo mora vsebovati vsaj 8 znakov',
     passwordInvalid: 'Geslo mora vsebovati črke in številke, dolžina pa mora biti več kot 8 znakov',
+    registrationNotAllowed: 'Računa ni mogoče najti. Za registracijo se obrnite na skrbnika sistema.',
   },
   license: {
     tip: 'Preden začnete z Dify Community Edition, preberite GitHub',
@@ -70,6 +71,40 @@ const translation = {
   activated: 'Prijavite se zdaj',
   adminInitPassword: 'Geslo za inicializacijo administratorja',
   validate: 'Potrdi',
+  checkCode: {
+    emptyCode: 'Koda je obvezna',
+    verificationCodePlaceholder: 'Vnesite 6-mestno kodo',
+    resend: 'Poslati',
+    verificationCode: 'Koda za preverjanje',
+    tips: 'Kodo za preverjanje pošljemo na <strong>{{email}}</strong>',
+    verify: 'Preveriti',
+    validTime: 'Upoštevajte, da je koda veljavna 5 minut',
+    checkYourEmail: 'Preverjanje e-pošte',
+    didNotReceiveCode: 'Niste prejeli kode?',
+    invalidCode: 'Neveljavna koda',
+    useAnotherMethod: 'Uporabite drug način',
+  },
+  useVerificationCode: 'Uporaba kode za preverjanje',
+  licenseInactive: 'Licenca je neaktivna',
+  changePasswordBtn: 'Nastavitev gesla',
+  licenseExpired: 'Licenca je potekla',
+  resetPassword: 'Ponastavi geslo',
+  back: 'Hrbet',
+  backToLogin: 'Nazaj na prijavo',
+  enterYourName: 'Prosimo, vnesite svoje uporabniško ime',
+  licenseLost: 'Izgubljena licenca',
+  licenseExpiredTip: 'Licenca za Dify Enterprise za vaš delovni prostor je potekla. Če želite še naprej uporabljati Dify, se obrnite na skrbnika.',
+  usePassword: 'Uporaba gesla',
+  sendVerificationCode: 'Pošlji kodo za preverjanje',
+  resetPasswordDesc: 'Vnesite e-poštni naslov, ki ste ga uporabili za prijavo na Dify, in poslali vam bomo e-poštno sporočilo za ponastavitev gesla.',
+  setYourAccount: 'Nastavitev računa',
+  noLoginMethodTip: 'Obrnite se na skrbnika sistema, da dodate način preverjanja pristnosti.',
+  or: 'ALI',
+  noLoginMethod: 'Način preverjanja pristnosti ni konfiguriran',
+  continueWithCode: 'Nadaljujte s kodo',
+  withSSO: 'Nadaljujte z enotno prijavo',
+  licenseLostTip: 'Povezava z licenčnim strežnikom Dify ni uspela. Če želite še naprej uporabljati Dify, se obrnite na skrbnika.',
+  licenseInactiveTip: 'Licenca Dify Enterprise za vaš delovni prostor je neaktivna. Če želite še naprej uporabljati Dify, se obrnite na skrbnika.',
 }
 
 export default translation

web/i18n/sl-SI/workflow.ts

@@ -95,6 +95,10 @@ const translation = {
     addParallelNode: 'Dodaj vzporedno vozlišče',
     parallel: 'VZPOREDNO',
     branch: 'VEJA',
+    fileUploadTip: 'Funkcije nalaganja slik so nadgrajene na nalaganje datotek.',
+    featuresDocLink: 'Izvedi več',
+    featuresDescription: 'Izboljšajte uporabniško izkušnjo spletne aplikacije',
+    ImageUploadLegacyTip: 'Zdaj lahko ustvarite spremenljivke vrste datoteke v začetnem obrazcu. V prihodnje ne bomo več podpirali funkcije nalaganja slik.',
   },
   env: {
     envPanelTitle: 'Spremenljivke okolja',
@@ -554,6 +558,506 @@ const translation = {
   tracing: {
     stopBy: 'Ustavljeno s strani {{user}}',
   },
+  chatVariable: {
+    modal: {
+      type: 'Vrsta',
+      objectValue: 'Privzeta vrednost',
+      description: 'Opis',
+      editTitle: 'Urejanje spremenljivke pogovora',
+      namePlaceholder: 'Ime spremenljivke',
+      valuePlaceholder: 'Privzeta vrednost, pustite prazno, da ni nastavljeno',
+      title: 'Dodajanje spremenljivke pogovora',
+      editInJSON: 'Urejanje v JSON',
+      value: 'Privzeta vrednost',
+      oneByOne: 'Dodajanje enega za drugim',
+      objectKey: 'Ključ',
+      objectType: 'Vrsta',
+      arrayValue: 'Vrednost',
+      name: 'Ime',
+      descriptionPlaceholder: 'Opis spremenljivke',
+      editInForm: 'Uredi v obrazcu',
+      addArrayValue: 'Dodajanje vrednosti',
+    },
+    storedContent: 'Shranjena vsebina',
+    updatedAt: 'Posodobljeno na',
+    panelTitle: 'Spremenljivke pogovora',
+    button: 'Dodajanje spremenljivke',
+    panelDescription: 'Spremenljivke pogovora se uporabljajo za shranjevanje interaktivnih informacij, ki si jih mora LLM zapomniti, vključno z zgodovino pogovorov, naloženimi datotekami, uporabniškimi nastavitvami. So branje in pisanje.',
+    docLink: 'Če želite izvedeti več, obiščite naše dokumente.',
+  },
+  changeHistory: {
+    nodeChange: 'Blokiranje spremenjeno',
+    placeholder: 'Ničesar še niste spremenili',
+    nodeDescriptionChange: 'Opis bloka je bil spremenjen',
+    nodePaste: 'Blokiranje lepljenja',
+    noteDelete: 'Opomba izbrisana',
+    nodeDragStop: 'Blok premaknjen',
+    nodeConnect: 'Blok povezan',
+    sessionStart: 'Začetek seje',
+    nodeDelete: 'Blokiraj izbrisane',
+    stepBackward_other: '{{count}} stopi nazaj',
+    hint: 'Namig',
+    noteAdd: 'Opomba dodana',
+    clearHistory: 'Počisti zgodovino',
+    stepForward_one: '{{count}} korak naprej',
+    stepBackward_one: '{{count}} korak nazaj',
+    nodeAdd: 'Blokiranje dodano',
+    noteChange: 'Opomba spremenjena',
+    hintText: 'Dejanjem urejanja se sledi v zgodovini sprememb, ki je shranjena v napravi za čas trajanja te seje. Ta zgodovina bo izbrisana, ko zapustite urejevalnik.',
+    stepForward_other: '{{count}} koraki naprej',
+    edgeDelete: 'Blok je prekinjen.',
+    nodeTitleChange: 'Naslov bloka spremenjen',
+    nodeResize: 'Spremeni velikost bloka',
+    title: 'Zgodovina sprememb',
+    currentState: 'Trenutno stanje',
+  },
+  errorMsg: {
+    fields: {
+      code: 'Koda',
+      variableValue: 'Vrednost spremenljivke',
+      visionVariable: 'Spremenljivka vida',
+      model: 'Model',
+      rerankModel: 'Ponovno razvrsti model',
+      variable: 'Ime spremenljivke',
+    },
+    invalidJson: '{{field}} je neveljaven JSON',
+    invalidVariable: 'Neveljavna spremenljivka',
+    authRequired: 'Dovoljenje je potrebno',
+    fieldRequired: '{{field}} je obvezno',
+    rerankModelRequired: 'Preden vklopite Rerank Model, preverite, ali je bil model uspešno konfiguriran v nastavitvah.',
+  },
+  singleRun: {
+    startRun: 'Začni zagnati',
+    running: 'Tek',
+    testRunIteration: 'Ponovitev preskusnega zagona',
+    iteration: 'Ponovitev',
+    back: 'Hrbet',
+    testRun: 'Preskusni zagon',
+  },
+  tabs: {
+    'blocks': 'Bloki',
+    'workflowTool': 'Potek dela',
+    'transform': 'Preoblikovanje',
+    'question-understand': 'Vprašanje razumeti',
+    'builtInTool': 'Vgrajeno',
+    'allTool': 'Ves',
+    'tools': 'Orodja',
+    'logic': 'Logika',
+    'searchBlock': 'Iskalni blok',
+    'noResult': 'Ni najdenega ujemanja',
+    'customTool': 'Običaj',
+    'utilities': 'Utilities',
+    'searchTool': 'Orodje za iskanje',
+  },
+  blocks: {
+    'variable-aggregator': 'Spremenljivi agregator',
+    'code': 'Koda',
+    'parameter-extractor': 'Ekstraktor parametrov',
+    'llm': 'LLM',
+    'knowledge-retrieval': 'Pridobivanje znanja',
+    'answer': 'Odgovoriti',
+    'end': 'Konec',
+    'document-extractor': 'Ekstraktor dokumentov',
+    'assigner': 'Dodeljevalnik spremenljivke',
+    'iteration-start': 'Začetek ponovitve',
+    'template-transform': 'Predloga',
+    'iteration': 'Ponovitev',
+    'start': 'Začetek',
+    'if-else': 'IF/ELSE',
+    'list-operator': 'Operater seznama',
+    'http-request': 'Zahteva HTTP',
+    'variable-assigner': 'Spremenljivi agregator',
+    'question-classifier': 'Klasifikator vprašanj',
+  },
+  blocksAbout: {
+    'document-extractor': 'Uporablja se za razčlenjevanje naloženih dokumentov v besedilno vsebino, ki je zlahka razumljiva LLM.',
+    'list-operator': 'Uporablja se za filtriranje ali razvrščanje vsebine matrike.',
+    'template-transform': 'Pretvorite podatke v niz s sintakso predloge Jinja',
+    'question-classifier': 'Določite pogoje razvrščanja uporabniških vprašanj, LLM lahko določi, kako poteka pogovor na podlagi opisa klasifikacije',
+    'start': 'Določanje začetnih parametrov za zagon poteka dela',
+    'if-else': 'Omogoča razdelitev poteka dela na dve veji glede na pogoje if/else',
+    'knowledge-retrieval': 'Omogoča poizvedovanje po besedilni vsebini, ki je povezana z uporabniškimi vprašanji iz zbirke znanja',
+    'variable-assigner': 'Združite spremenljivke z več vejami v eno spremenljivko za poenoteno konfiguracijo nadaljnjih vozlišč.',
+    'code': 'Izvedite kodo Python ali NodeJS za izvajanje logike po meri',
+    'answer': 'Določanje vsebine odgovora v pogovoru v klepetu',
+    'iteration': 'Izvedite več korakov na predmetu seznama, dokler niso prikazani vsi rezultati.',
+    'http-request': 'Dovoli pošiljanje zahtev strežnika prek protokola HTTP',
+    'end': 'Določanje končne in končne vrste poteka dela',
+    'variable-aggregator': 'Združite spremenljivke z več vejami v eno spremenljivko za poenoteno konfiguracijo nadaljnjih vozlišč.',
+    'parameter-extractor': 'Uporabite LLM za pridobivanje strukturiranih parametrov iz naravnega jezika za klicanje orodij ali zahteve HTTP.',
+    'assigner': 'Vozlišče za dodeljevanje spremenljivk se uporablja za dodeljevanje vrednosti zapisljivim spremenljivkam (kot so spremenljivke pogovora).',
+    'llm': 'Sklicevanje na velike jezikovne modele za odgovarjanje na vprašanja ali obdelavo naravnega jezika',
+  },
+  operator: {
+    zoomOut: 'Pomanjšanje',
+    zoomTo100: 'Povečava na 100 %',
+    zoomToFit: 'Povečaj, da se prilega',
+    zoomIn: 'Povečava',
+    zoomTo50: 'Povečava na 50%',
+  },
+  panel: {
+    helpLink: 'Povezava za pomoč',
+    organizeBlocks: 'Organiziranje blokov',
+    optional: '(neobvezno)',
+    nextStep: 'Naslednji korak',
+    checklist: 'Kontrolni seznam',
+    runThisStep: 'Zaženite ta korak',
+    about: 'Približno',
+    selectNextStep: 'Izberite Naslednji blok',
+    changeBlock: 'Spremeni blok',
+    createdBy: 'Ustvaril',
+    checklistTip: 'Pred objavo se prepričajte, da so vse težave odpravljene',
+    userInputField: 'Uporabniško polje za vnos',
+    checklistResolved: 'Vse težave so odpravljene',
+    addNextStep: 'Dodajanje naslednjega bloka v ta potek dela',
+    change: 'Spremeniti',
+  },
+  nodes: {
+    common: {
+      memory: {
+        conversationRoleName: 'Ime vloge pogovora',
+        memoryTip: 'Nastavitve pomnilnika klepeta',
+        assistant: 'Predpona pomočnika',
+        user: 'Uporabniška predpona',
+        memory: 'Spomin',
+        windowSize: 'Velikost okna',
+      },
+      memories: {
+        tip: 'Pomnilnik klepeta',
+        title: 'Spomine',
+        builtIn: 'Vgrajeno',
+      },
+      outputVars: 'Izhodne spremenljivke',
+      insertVarTip: 'Vstavi spremenljivko',
+    },
+    start: {
+      outputVars: {
+        memories: {
+          content: 'Vsebina sporočila',
+          des: 'Zgodovina pogovorov',
+          type: 'Vrsta sporočila',
+        },
+        query: 'Uporabniški vnos',
+        files: 'Seznam datotek',
+      },
+      required: 'Zahteva',
+      inputField: 'Vnosno polje',
+      noVarTip: 'Nastavitev vhodov, ki jih je mogoče uporabiti v poteku dela',
+      builtInVar: 'Vgrajene spremenljivke',
+    },
+    end: {
+      output: {
+        variable: 'izhodna spremenljivka',
+        type: 'Vrsta izhoda',
+      },
+      type: {
+        'structured': 'Strukturiran',
+        'plain-text': 'Navadno besedilo',
+        'none': 'Nobena',
+      },
+      outputs: 'Izhodov',
+    },
+    answer: {
+      answer: 'Odgovoriti',
+      outputVars: 'Izhodne spremenljivke',
+    },
+    llm: {
+      roleDescription: {
+        assistant: 'Odgovori modela na podlagi sporočil uporabnikov',
+        system: 'Podajte navodila na visoki ravni za pogovor',
+        user: 'Navedite navodila, poizvedbe ali kakršen koli besedilni vnos v model',
+      },
+      resolution: {
+        low: 'Nizek',
+        high: 'Visok',
+        name: 'Resolucija',
+      },
+      outputVars: {
+        usage: 'Informacije o uporabi modela',
+        output: 'Ustvarjanje vsebine',
+      },
+      singleRun: {
+        variable: 'Spremenljivka',
+      },
+      notSetContextInPromptTip: 'Če želite omogočiti funkcijo konteksta, izpolnite kontekstno spremenljivko v PROMPT.',
+      sysQueryInUser: 'sys.query v sporočilu uporabnika je obvezen',
+      model: 'model',
+      files: 'Datoteke',
+      addMessage: 'Dodaj sporočilo',
+      context: 'Kontekstu',
+      variables: 'Spremenljivke',
+      prompt: 'Uren',
+      vision: 'vid',
+      contextTooltip: 'Znanje lahko uvozite kot kontekst',
+    },
+    knowledgeRetrieval: {
+      outputVars: {
+        title: 'Segmentirani naslov',
+        url: 'Segmentirani URL',
+        output: 'Pridobivanje segmentiranih podatkov',
+        icon: 'Segmentirana ikona',
+        metadata: 'Drugi metapodatki',
+        content: 'Segmentirana vsebina',
+      },
+      queryVariable: 'Spremenljivka poizvedbe',
+      knowledge: 'Znanje',
+    },
+    http: {
+      outputVars: {
+        headers: 'JSON seznama glav odgovorov',
+        body: 'Vsebina odgovora',
+        files: 'Seznam datotek',
+        statusCode: 'Koda stanja odgovora',
+      },
+      authorization: {
+        'authorization': 'Dovoljenje',
+        'header': 'Glava',
+        'bearer': 'Nosilec',
+        'api-key-title': 'API ključ',
+        'basic': 'Osnoven',
+        'no-auth': 'Nobena',
+        'custom': 'Običaj',
+        'authorizationType': 'Vrsta dovoljenja',
+        'auth-type': 'Vrsta preverjanja pristnosti',
+        'api-key': 'Ključ API-ja',
+      },
+      timeout: {
+        readPlaceholder: 'Vnos časovne omejitve branja v sekundah',
+        writePlaceholder: 'Vnesite časovno omejitev pisanja v sekundah',
+        writeLabel: 'Časovna omejitev pisanja',
+        connectLabel: 'Časovna omejitev povezave',
+        title: 'Timeout',
+        readLabel: 'Časovna omejitev branja',
+        connectPlaceholder: 'Vnos časovne omejitve povezave v sekundah',
+      },
+      value: 'Vrednost',
+      key: 'Ključ',
+      notStartWithHttp: 'API se mora začeti z http:// ali https://',
+      body: 'Telo',
+      type: 'Vrsta',
+      inputVars: 'Vhodne spremenljivke',
+      bulkEdit: 'Urejanje v velikem obsegu',
+      insertVarPlaceholder: 'vnesite "/" za vstavljanje spremenljivke',
+      api: 'API',
+      keyValueEdit: 'Urejanje ključ-vrednost',
+      binaryFileVariable: 'Spremenljivka binarne datoteke',
+      headers: 'Glave',
+      apiPlaceholder: 'Vnesite URL, vnesite \'/\' vstavi spremenljivko',
+      extractListPlaceholder: 'Vnesite indeks elementa seznama, vnesite \'/\' vstavi spremenljivko',
+      params: 'Params',
+    },
+    code: {
+      inputVars: 'Vhodne spremenljivke',
+      outputVars: 'Izhodne spremenljivke',
+      searchDependencies: 'Odvisnosti iskanja',
+      advancedDependenciesTip: 'Tukaj dodajte nekaj vnaprej naloženih odvisnosti, ki trajajo dlje časa ali niso privzeto vgrajene',
+      advancedDependencies: 'Napredne odvisnosti',
+    },
+    templateTransform: {
+      outputVars: {
+        output: 'Preoblikovana vsebina',
+      },
+      code: 'Koda',
+      inputVars: 'Vhodne spremenljivke',
+      codeSupportTip: 'Podpira samo Jinja2',
+    },
+    ifElse: {
+      comparisonOperator: {
+        'all of': 'vse',
+        'is not': 'ni',
+        'not empty': 'ni prazen',
+        'start with': 'Začnite z',
+        'is': 'Je',
+        'null': 'je nična',
+        'not exists': 'ne obstaja',
+        'contains': 'Vsebuje',
+        'empty': 'je prazen',
+        'exists': 'Obstaja',
+        'in': 'v',
+        'not contains': 'ne vsebuje',
+        'end with': 'Končaj z',
+        'not in': 'ni v',
+        'not null': 'ni nična',
+      },
+      optionName: {
+        video: 'Video',
+        doc: 'Doc',
+        audio: 'Avdio',
+        image: 'Podoba',
+        url: 'Spletni naslov',
+        localUpload: 'Lokalno nalaganje',
+      },
+      and: 'in',
+      else: 'Drugega',
+      enterValue: 'Vnesite vrednost',
+      elseDescription: 'Uporablja se za določanje logike, ki jo je treba izvesti, ko pogoj if ni izpolnjen.',
+      addCondition: 'Dodajanje pogoja',
+      if: 'Če',
+      select: 'Izbrati',
+      selectVariable: 'Izberite spremenljivko ...',
+      conditionNotSetup: 'Pogoj NI nastavljen',
+      addSubVariable: 'Podspremenljivka',
+      notSetVariable: 'Prosimo, najprej nastavite spremenljivko',
+      operator: 'Operaterja',
+      or: 'ali',
+    },
+    variableAssigner: {
+      type: {
+        string: 'Niz',
+        object: 'Predmet',
+        array: 'Matrika',
+        number: 'Številka',
+      },
+      outputVars: {
+        varDescribe: '{{groupName}} izhod',
+      },
+      addGroup: 'Dodajanje skupine',
+      outputType: 'Vrsta izhoda',
+      title: 'Dodeljevanje spremenljivk',
+      noVarTip: 'Seštevanje spremenljivk, ki jih je treba dodeliti',
+      aggregationGroupTip: 'Če omogočite to funkcijo, lahko združevalnik spremenljivk združi več naborov spremenljivk.',
+      aggregationGroup: 'Združevalna skupina',
+      varNotSet: 'Spremenljivka ni nastavljena',
+      setAssignVariable: 'Nastavitev spremenljivke dodelitve',
+    },
+    assigner: {
+      'writeMode': 'Način pisanja',
+      'plus': 'Plus',
+      'variable': 'Spremenljivka',
+      'clear': 'Jasen',
+      'append': 'Dodaj',
+      'assignedVariable': 'Dodeljena spremenljivka',
+      'setVariable': 'Nastavi spremenljivko',
+      'over-write': 'Prepisati',
+      'writeModeTip': 'Način dodajanja: Na voljo samo za spremenljivke polja.',
+    },
+    tool: {
+      outputVars: {
+        files: {
+          transfer_method: 'Način prenosa. Vrednost je remote_url ali local_file',
+          upload_file_id: 'Naloži ID datoteke',
+          type: 'Vrsta podpore. Zdaj podpiramo samo sliko',
+          url: 'URL slike',
+          title: 'Datoteke, ustvarjene z orodjem',
+        },
+        json: 'JSON, ustvarjen z orodjem',
+        text: 'Vsebina, ustvarjena z orodjem',
+      },
+      inputVars: 'Vhodne spremenljivke',
+      toAuthorize: 'Za odobritev',
+    },
+    questionClassifiers: {
+      outputVars: {
+        className: 'Ime razreda',
+      },
+      instruction: 'Navodilo',
+      classNamePlaceholder: 'Napišite ime svojega razreda',
+      addClass: 'Dodajanje razreda',
+      instructionPlaceholder: 'Napišite navodila',
+      topicName: 'Ime teme',
+      topicPlaceholder: 'Napišite ime teme',
+      class: 'Razred',
+      advancedSetting: 'Napredne nastavitve',
+      model: 'model',
+      inputVars: 'Vhodne spremenljivke',
+      instructionTip: 'Vnesite dodatna navodila, ki bodo klasifikatorju vprašanj pomagala bolje razumeti, kako kategorizirati vprašanja.',
+    },
+    parameterExtractor: {
+      addExtractParameterContent: {
+        description: 'Opis',
+        typePlaceholder: 'Vrsta parametra izvlečka',
+        requiredContent: 'Zahtevano se uporablja samo kot referenca za sklepanje modela in ne za obvezno validacijo izhodnega parametra.',
+        required: 'Zahteva',
+        type: 'Vrsta',
+        namePlaceholder: 'Izvleček imena parametra',
+        descriptionPlaceholder: 'Opis parametra izvlečka',
+        name: 'Ime',
+      },
+      isSuccess: 'Je uspeh.Pri uspehu je vrednost 1, pri neuspehu je vrednost 0.',
+      addExtractParameter: 'Dodajanje parametra izvlečka',
+      importFromTool: 'Uvoz iz orodij',
+      reasoningModeTip: 'Izberete lahko ustrezen način sklepanja glede na sposobnost modela, da se odzove na navodila za klicanje funkcij ali pozive.',
+      inputVar: 'Vhodna spremenljivka',
+      advancedSetting: 'Napredne nastavitve',
+      errorReason: 'Razlog za napako',
+      reasoningMode: 'Način sklepanja',
+      instruction: 'Navodilo',
+      instructionTip: 'Vnesite dodatna navodila, ki bodo ekstraktorju parametrov pomagala razumeti, kako izvleči parametre.',
+      extractParametersNotSet: 'Izvleček parametrov ni nastavljen',
+      extractParameters: 'Izvleček parametrov',
+    },
+    iteration: {
+      ErrorMethod: {
+        continueOnError: 'Nadaljuj ob napaki',
+        removeAbnormalOutput: 'Odstranite nenormalen izhod',
+        operationTerminated: 'Prekinjena',
+      },
+      output: 'Izhodne spremenljivke',
+      parallelMode: 'Vzporedni način',
+      MaxParallelismTitle: 'Največji vzporednost',
+      errorResponseMethod: 'Način odziva na napako',
+      parallelModeEnableDesc: 'V vzporednem načinu opravila v iteracijah podpirajo vzporedno izvajanje. To lahko konfigurirate na plošči z lastnostmi na desni.',
+      error_one: '{{štetje}} Napaka',
+      comma: ',',
+      parallelModeUpper: 'VZPOREDNI NAČIN',
+      parallelModeEnableTitle: 'Vzporedni način omogočen',
+      currentIteration: 'Trenutna ponovitev',
+      error_other: '{{štetje}} Napake',
+      input: 'Vhodni',
+      deleteTitle: 'Izbrisati iteracijsko vozlišče?',
+      parallelPanelDesc: 'V vzporednem načinu opravila v iteraciji podpirajo vzporedno izvajanje.',
+      deleteDesc: 'Če izbrišete iteracijsko vozlišče, boste izbrisali vsa podrejena vozlišča',
+      iteration_other: '{{štetje}} Ponovitev',
+      answerNodeWarningDesc: 'Opozorilo vzporednega načina: Vozlišča za odgovore, dodelitve spremenljivk pogovora in trajne operacije branja / pisanja v iteracijah lahko povzročijo izjeme.',
+      MaxParallelismDesc: 'Največja vzporednost se uporablja za nadzor števila nalog, ki se izvajajo hkrati v eni ponovitvi.',
+      iteration_one: '{{štetje}} Ponovitev',
+    },
+    note: {
+      editor: {
+        medium: 'Srednja',
+        openLink: 'Odprt',
+        showAuthor: 'Pokaži avtorja',
+        bold: 'Smel',
+        strikethrough: 'Prečrtano',
+        large: 'Velik',
+        link: 'Povezava',
+        enterUrl: 'Vnesite URL ...',
+        small: 'Majhen',
+        italic: 'Ležeče',
+        invalidUrl: 'Neveljaven URL',
+        unlink: 'Prekini povezavo',
+        placeholder: 'Napišite svojo opombo ...',
+        bulletList: 'Seznam oznak',
+      },
+      addNote: 'Dodaj opombo',
+    },
+    docExtractor: {
+      outputVars: {
+        text: 'Izvlečeno besedilo',
+      },
+      inputVar: 'Vhodna spremenljivka',
+      learnMore: 'Izvedi več',
+      supportFileTypes: 'Podporne vrste datotek: {{types}}.',
+    },
+    listFilter: {
+      outputVars: {
+        result: 'Rezultat filtriranja',
+        first_record: 'Prvi zapis',
+        last_record: 'Zadnji zapis',
+      },
+      extractsCondition: 'Ekstrahiranje elementa N',
+      selectVariableKeyPlaceholder: 'Izberite ključ podspremenljivke',
+      asc: 'ASC',
+      orderBy: 'Naročite po',
+      filterCondition: 'Pogoj filtra',
+      filterConditionKey: 'Ključ pogoja filtra',
+      desc: 'DESC',
+      limit: 'Vrh N',
+      filterConditionComparisonOperator: 'Operator za primerjavo pogojev filtra',
+      inputVar: 'Vhodna spremenljivka',
+      filterConditionComparisonValue: 'Vrednost pogoja filtra',
+    },
+  },
 }
 
 export default translation

web/i18n/tr-TR/common.ts

@@ -591,6 +591,10 @@ const translation = {
     pasteFileLinkInvalid: 'Geçersiz dosya bağlantısı',
     fileExtensionNotSupport: 'Dosya uzantısı desteklenmiyor',
   },
+  license: {
+    expiring_plural: '{{count}} gün içinde sona eriyor',
+    expiring: 'Bir günde sona eriyor',
+  },
 }
 
 export default translation

web/i18n/tr-TR/login.ts

@@ -99,6 +99,12 @@ const translation = {
   noLoginMethodTip: 'Bir kimlik doğrulama yöntemi eklemek için lütfen sistem yöneticisine başvurun.',
   sendVerificationCode: 'Doğrulama Kodu Gönder',
   back: 'Geri',
+  licenseExpiredTip: 'Çalışma alanınız için Dify Enterprise lisansının süresi doldu. Dify\'ı kullanmaya devam etmek için lütfen yöneticinizle iletişime geçin.',
+  licenseLostTip: 'Dify lisans sunucusuna bağlanılamadı. Dify\'ı kullanmaya devam etmek için lütfen yöneticinizle iletişime geçin.',
+  licenseInactiveTip: 'Çalışma alanınız için Dify Enterprise lisansı etkin değil. Dify\'ı kullanmaya devam etmek için lütfen yöneticinizle iletişime geçin.',
+  licenseExpired: 'Lisansın Süresi Doldu',
+  licenseLost: 'Lisans Kaybedildi',
+  licenseInactive: 'Lisans Etkin Değil',
 }
 
 export default translation

web/i18n/tr-TR/workflow.ts

@@ -408,6 +408,7 @@ const translation = {
       },
       type: 'Tür',
       binaryFileVariable: 'İkili Dosya Değişkeni',
+      extractListPlaceholder: 'Liste öğesi dizinini girin, \'/\' yazın değişken ekle',
     },
     code: {
       inputVars: 'Giriş Değişkenleri',
@@ -619,6 +620,7 @@ const translation = {
       filterConditionComparisonValue: 'Filtre Koşulu değeri',
       selectVariableKeyPlaceholder: 'Alt değişken anahtarını seçin',
       desc: 'DESC',
+      extractsCondition: 'N öğesini ayıklayın',
     },
   },
   tracing: {

web/i18n/uk-UA/common.ts

@@ -592,6 +592,10 @@ const translation = {
     uploadFromComputerReadError: 'Не вдалося прочитати файл, будь ласка, спробуйте ще раз.',
     uploadFromComputerUploadError: 'Не вдалося завантажити файл, будь ласка, завантажте ще раз.',
   },
+  license: {
+    expiring: 'Термін дії закінчується за один день',
+    expiring_plural: 'Термін дії закінчується за {{count}} днів',
+  },
 }
 
 export default translation

web/i18n/uk-UA/login.ts

@@ -99,6 +99,12 @@ const translation = {
   noLoginMethodTip: 'Будь ласка, зверніться до адміністратора системи, щоб додати метод автентифікації.',
   resetPasswordDesc: 'Введіть адресу електронної пошти, яку ви використовували для реєстрації на Dify, і ми надішлемо вам електронний лист для скидання пароля.',
   resetPassword: 'Скинути пароль',
+  licenseLostTip: 'Не вдалося підключити сервер ліцензій Dify. Будь ласка, зверніться до свого адміністратора, щоб продовжити користуватися Dify.',
+  licenseExpired: 'Термін дії ліцензії минув',
+  licenseInactive: 'Ліцензія неактивна',
+  licenseLost: 'Ліцензію втрачено',
+  licenseInactiveTip: 'Ліцензія Dify Enterprise для вашої робочої області неактивна. Будь ласка, зверніться до свого адміністратора, щоб продовжити користуватися Dify.',
+  licenseExpiredTip: 'Термін дії ліцензії Dify Enterprise для вашого робочого простору закінчився. Будь ласка, зверніться до свого адміністратора, щоб продовжити користуватися Dify.',
 }
 
 export default translation

web/i18n/uk-UA/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: 'Тип',
       binaryFileVariable: 'Змінна двійкового файлу',
+      extractListPlaceholder: 'Введіть індекс елемента списку, введіть \'/\' вставити змінну',
     },
     code: {
       inputVars: 'Вхідні змінні',
@@ -618,6 +619,7 @@ const translation = {
       orderBy: 'Замовити по',
       filterConditionComparisonOperator: 'Оператор порівняння умов фільтра',
       filterConditionComparisonValue: 'Значення умови фільтра',
+      extractsCondition: 'Витягніть елемент N',
     },
   },
   tracing: {

web/i18n/vi-VN/common.ts

@@ -591,6 +591,10 @@ const translation = {
     uploadFromComputerUploadError: 'Tải lên tệp không thành công, vui lòng tải lên lại.',
     uploadFromComputerReadError: 'Đọc tệp không thành công, vui lòng thử lại.',
   },
+  license: {
+    expiring_plural: 'Hết hạn sau {{count}} ngày',
+    expiring: 'Hết hạn trong một ngày',
+  },
 }
 
 export default translation

web/i18n/vi-VN/login.ts

@@ -99,6 +99,12 @@ const translation = {
   usePassword: 'Sử dụng mật khẩu',
   resetPassword: 'Đặt lại mật khẩu',
   sendVerificationCode: 'Gửi mã xác minh',
+  licenseInactive: 'Giấy phép không hoạt động',
+  licenseLost: 'Mất giấy phép',
+  licenseInactiveTip: 'Giấy phép Dify Enterprise cho không gian làm việc của bạn không hoạt động. Vui lòng liên hệ với quản trị viên của bạn để tiếp tục sử dụng Dify.',
+  licenseExpired: 'Giấy phép đã hết hạn',
+  licenseExpiredTip: 'Giấy phép Dify Enterprise cho không gian làm việc của bạn đã hết hạn. Vui lòng liên hệ với quản trị viên của bạn để tiếp tục sử dụng Dify.',
+  licenseLostTip: 'Không thể kết nối máy chủ cấp phép Dify. Vui lòng liên hệ với quản trị viên của bạn để tiếp tục sử dụng Dify.',
 }
 
 export default translation

web/i18n/vi-VN/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       binaryFileVariable: 'Biến tệp nhị phân',
       type: 'Kiểu',
+      extractListPlaceholder: 'Nhập chỉ mục mục danh sách, nhập \'/\' chèn biến',
     },
     code: {
       inputVars: 'Biến đầu vào',
@@ -618,6 +619,7 @@ const translation = {
       filterCondition: 'Điều kiện lọc',
       asc: 'ASC',
       filterConditionComparisonOperator: 'Toán tử so sánh điều kiện bộ lọc',
+      extractsCondition: 'Giải nén mục N',
     },
   },
   tracing: {

web/i18n/zh-Hant/common.ts

@@ -591,6 +591,10 @@ const translation = {
     fileExtensionNotSupport: '不支援檔擴展名',
     uploadFromComputerLimit: '上傳文件不能超過 {{size}}',
   },
+  license: {
+    expiring: '將在1天內過期',
+    expiring_plural: '將在 {{count}} 天后過期',
+  },
 }
 
 export default translation

web/i18n/zh-Hant/login.ts

@@ -99,6 +99,12 @@ const translation = {
   back: '返回',
   resetPasswordDesc: '輸入您用於註冊 Dify 的電子郵件，我們將向您發送一封密碼重置電子郵件。',
   usePassword: '使用密碼',
+  licenseExpiredTip: '您的工作區的 Dify Enterprise 許可證已過期。請聯繫您的管理員以繼續使用 Dify。',
+  licenseExpired: '許可證已過期',
+  licenseLost: '許可證丟失',
+  licenseInactive: '許可證處於非活動狀態',
+  licenseInactiveTip: '您的工作區的 Dify Enterprise 許可證處於非活動狀態。請聯繫您的管理員以繼續使用 Dify。',
+  licenseLostTip: '無法連接 Dify 許可證伺服器。請聯繫您的管理員以繼續使用 Dify。',
 }
 
 export default translation

web/i18n/zh-Hant/workflow.ts

@@ -407,6 +407,7 @@ const translation = {
       },
       type: '類型',
       binaryFileVariable: '二進位檔變數',
+      extractListPlaceholder: '輸入清單項索引，鍵入 『/』 插入變數',
     },
     code: {
       inputVars: '輸入變量',
@@ -618,6 +619,7 @@ const translation = {
       selectVariableKeyPlaceholder: 'Select sub variable key （選擇子變數鍵）',
       filterConditionComparisonOperator: 'Filter Condition Comparison 運算符',
       filterConditionKey: '篩選條件鍵',
+      extractsCondition: '提取第 N 項',
     },
   },
   tracing: {