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dify
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merge main

This commit is contained in:
zxhlyh 2025-06-11 10:41:50 +08:00
parent 0564651f6f 0f3d4d0b6e
commit 5dbda7f4c5
42 changed files with 2524 additions and 2429 deletions
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2
api/controllers/console/app/annotation.py
View File

@ -208,7 +208,7 @@ class AnnotationBatchImportApi(Resource):
if len(request.files) > 1:
raise TooManyFilesError()
# check file type
if not file.filename.endswith(".csv"):
if not file.filename or not file.filename.endswith(".csv"):
raise ValueError("Invalid file type. Only CSV files are allowed")
return AppAnnotationService.batch_import_app_annotations(app_id, file)

2
api/controllers/console/datasets/datasets_segments.py
View File

@ -374,7 +374,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
if len(request.files) > 1:
raise TooManyFilesError()
# check file type
if not file.filename.endswith(".csv"):
if not file.filename or not file.filename.endswith(".csv"):
raise ValueError("Invalid file type. Only CSV files are allowed")
try:

6
api/core/plugin/backwards_invocation/model.py
View File

@ -21,7 +21,7 @@ from core.plugin.entities.request import (
)
from core.tools.entities.tool_entities import ToolProviderType
from core.tools.utils.model_invocation_utils import ModelInvocationUtils
from core.workflow.nodes.llm.node import LLMNode
from core.workflow.nodes.llm import llm_utils
from models.account import Tenant
@ -55,7 +55,7 @@ class PluginModelBackwardsInvocation(BaseBackwardsInvocation):
def handle() -> Generator[LLMResultChunk, None, None]:
for chunk in response:
if chunk.delta.usage:
LLMNode.deduct_llm_quota(
llm_utils.deduct_llm_quota(
tenant_id=tenant.id, model_instance=model_instance, usage=chunk.delta.usage
)
chunk.prompt_messages = []
@ -64,7 +64,7 @@ class PluginModelBackwardsInvocation(BaseBackwardsInvocation):
return handle()
else:
if response.usage:
LLMNode.deduct_llm_quota(tenant_id=tenant.id, model_instance=model_instance, usage=response.usage)
llm_utils.deduct_llm_quota(tenant_id=tenant.id, model_instance=model_instance, usage=response.usage)
def handle_non_streaming(response: LLMResult) -> Generator[LLMResultChunk, None, None]:
yield LLMResultChunk(

2
api/core/rag/embedding/cached_embedding.py
View File

@ -139,4 +139,4 @@ class CacheEmbedding(Embeddings):
logging.exception(f"Failed to add embedding to redis for the text '{text[:10]}...({len(text)} chars)'")
raise ex
return embedding_results
return embedding_results # type: ignore

2
api/core/rag/index_processor/processor/qa_index_processor.py
View File

@ -104,7 +104,7 @@ class QAIndexProcessor(BaseIndexProcessor):
def format_by_template(self, file: FileStorage, **kwargs) -> list[Document]:
# check file type
if not file.filename.endswith(".csv"):
if not file.filename or not file.filename.endswith(".csv"):
raise ValueError("Invalid file type. Only CSV files are allowed")
try:

4
api/core/rag/retrieval/router/multi_dataset_react_route.py
View File

@ -9,7 +9,7 @@ from core.prompt.advanced_prompt_transform import AdvancedPromptTransform
from core.prompt.entities.advanced_prompt_entities import ChatModelMessage, CompletionModelPromptTemplate
from core.rag.retrieval.output_parser.react_output import ReactAction
from core.rag.retrieval.output_parser.structured_chat import StructuredChatOutputParser
from core.workflow.nodes.llm import LLMNode
from core.workflow.nodes.llm import llm_utils
PREFIX = """Respond to the human as helpfully and accurately as possible. You have access to the following tools:"""
@ -165,7 +165,7 @@ class ReactMultiDatasetRouter:
text, usage = self._handle_invoke_result(invoke_result=invoke_result)
# deduct quota
LLMNode.deduct_llm_quota(tenant_id=tenant_id, model_instance=model_instance, usage=usage)
llm_utils.deduct_llm_quota(tenant_id=tenant_id, model_instance=model_instance, usage=usage)
return text, usage

8
api/core/tools/utils/message_transformer.py
View File

@ -32,14 +32,14 @@ class ToolFileMessageTransformer:
try:
assert isinstance(message.message, ToolInvokeMessage.TextMessage)
tool_file_manager = ToolFileManager()
file = tool_file_manager.create_file_by_url(
tool_file = tool_file_manager.create_file_by_url(
user_id=user_id,
tenant_id=tenant_id,
file_url=message.message.text,
conversation_id=conversation_id,
)
url = f"/files/tools/{file.id}{guess_extension(file.mimetype) or '.png'}"
url = f"/files/tools/{tool_file.id}{guess_extension(tool_file.mimetype) or '.png'}"
yield ToolInvokeMessage(
type=ToolInvokeMessage.MessageType.IMAGE_LINK,
@ -68,7 +68,7 @@ class ToolFileMessageTransformer:
assert isinstance(message.message.blob, bytes)
tool_file_manager = ToolFileManager()
file = tool_file_manager.create_file_by_raw(
tool_file = tool_file_manager.create_file_by_raw(
user_id=user_id,
tenant_id=tenant_id,
conversation_id=conversation_id,
@ -77,7 +77,7 @@ class ToolFileMessageTransformer:
filename=filename,
)
url = cls.get_tool_file_url(tool_file_id=file.id, extension=guess_extension(file.mimetype))
url = cls.get_tool_file_url(tool_file_id=tool_file.id, extension=guess_extension(tool_file.mimetype))
# check if file is image
if "image" in mimetype:

156
api/core/workflow/nodes/llm/llm_utils.py Normal file
View File

@ -0,0 +1,156 @@
from collections.abc import Sequence
from datetime import UTC, datetime
from typing import Optional, cast
from sqlalchemy import select, update
from sqlalchemy.orm import Session
from configs import dify_config
from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
from core.entities.provider_entities import QuotaUnit
from core.file.models import File
from core.memory.token_buffer_memory import TokenBufferMemory
from core.model_manager import ModelInstance, ModelManager
from core.model_runtime.entities.llm_entities import LLMUsage
from core.model_runtime.entities.model_entities import ModelType
from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
from core.plugin.entities.plugin import ModelProviderID
from core.prompt.entities.advanced_prompt_entities import MemoryConfig
from core.variables.segments import ArrayAnySegment, ArrayFileSegment, FileSegment, NoneSegment, StringSegment
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.enums import SystemVariableKey
from core.workflow.nodes.llm.entities import ModelConfig
from models import db
from models.model import Conversation
from models.provider import Provider, ProviderType
from .exc import InvalidVariableTypeError, LLMModeRequiredError, ModelNotExistError
def fetch_model_config(
tenant_id: str, node_data_model: ModelConfig
) -> tuple[ModelInstance, ModelConfigWithCredentialsEntity]:
if not node_data_model.mode:
raise LLMModeRequiredError("LLM mode is required.")
model = ModelManager().get_model_instance(
tenant_id=tenant_id,
model_type=ModelType.LLM,
provider=node_data_model.provider,
model=node_data_model.name,
)
model.model_type_instance = cast(LargeLanguageModel, model.model_type_instance)
# check model
provider_model = model.provider_model_bundle.configuration.get_provider_model(
model=node_data_model.name, model_type=ModelType.LLM
)
if provider_model is None:
raise ModelNotExistError(f"Model {node_data_model.name} not exist.")
provider_model.raise_for_status()
# model config
stop: list[str] = []
if "stop" in node_data_model.completion_params:
stop = node_data_model.completion_params.pop("stop")
model_schema = model.model_type_instance.get_model_schema(node_data_model.name, model.credentials)
if not model_schema:
raise ModelNotExistError(f"Model {node_data_model.name} not exist.")
return model, ModelConfigWithCredentialsEntity(
provider=node_data_model.provider,
model=node_data_model.name,
model_schema=model_schema,
mode=node_data_model.mode,
provider_model_bundle=model.provider_model_bundle,
credentials=model.credentials,
parameters=node_data_model.completion_params,
stop=stop,
)
def fetch_files(variable_pool: VariablePool, selector: Sequence[str]) -> Sequence["File"]:
variable = variable_pool.get(selector)
if variable is None:
return []
elif isinstance(variable, FileSegment):
return [variable.value]
elif isinstance(variable, ArrayFileSegment):
return variable.value
elif isinstance(variable, NoneSegment | ArrayAnySegment):
return []
raise InvalidVariableTypeError(f"Invalid variable type: {type(variable)}")
def fetch_memory(
variable_pool: VariablePool, app_id: str, node_data_memory: Optional[MemoryConfig], model_instance: ModelInstance
) -> Optional[TokenBufferMemory]:
if not node_data_memory:
return None
# get conversation id
conversation_id_variable = variable_pool.get(["sys", SystemVariableKey.CONVERSATION_ID.value])
if not isinstance(conversation_id_variable, StringSegment):
return None
conversation_id = conversation_id_variable.value
with Session(db.engine, expire_on_commit=False) as session:
stmt = select(Conversation).where(Conversation.app_id == app_id, Conversation.id == conversation_id)
conversation = session.scalar(stmt)
if not conversation:
return None
memory = TokenBufferMemory(conversation=conversation, model_instance=model_instance)
return memory
def deduct_llm_quota(tenant_id: str, model_instance: ModelInstance, usage: LLMUsage) -> None:
provider_model_bundle = model_instance.provider_model_bundle
provider_configuration = provider_model_bundle.configuration
if provider_configuration.using_provider_type != ProviderType.SYSTEM:
return
system_configuration = provider_configuration.system_configuration
quota_unit = None
for quota_configuration in system_configuration.quota_configurations:
if quota_configuration.quota_type == system_configuration.current_quota_type:
quota_unit = quota_configuration.quota_unit
if quota_configuration.quota_limit == -1:
return
break
used_quota = None
if quota_unit:
if quota_unit == QuotaUnit.TOKENS:
used_quota = usage.total_tokens
elif quota_unit == QuotaUnit.CREDITS:
used_quota = dify_config.get_model_credits(model_instance.model)
else:
used_quota = 1
if used_quota is not None and system_configuration.current_quota_type is not None:
with Session(db.engine) as session:
stmt = (
update(Provider)
.where(
Provider.tenant_id == tenant_id,
# TODO: Use provider name with prefix after the data migration.
Provider.provider_name == ModelProviderID(model_instance.provider).provider_name,
Provider.provider_type == ProviderType.SYSTEM.value,
Provider.quota_type == system_configuration.current_quota_type.value,
Provider.quota_limit > Provider.quota_used,
)
.values(
quota_used=Provider.quota_used + used_quota,
last_used=datetime.now(tz=UTC).replace(tzinfo=None),
)
)
session.execute(stmt)
session.commit()

172
api/core/workflow/nodes/llm/node.py
View File

@ -3,16 +3,11 @@ import io
import json
import logging
from collections.abc import Generator, Mapping, Sequence
from datetime import UTC, datetime
from typing import TYPE_CHECKING, Any, Optional, cast
import json_repair
from sqlalchemy import select, update
from sqlalchemy.orm import Session
from configs import dify_config
from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
from core.entities.provider_entities import QuotaUnit
from core.file import FileType, file_manager
from core.helper.code_executor import CodeExecutor, CodeLanguage
from core.memory.token_buffer_memory import TokenBufferMemory
@ -40,12 +35,10 @@ from core.model_runtime.entities.model_entities import (
)
from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
from core.model_runtime.utils.encoders import jsonable_encoder
from core.plugin.entities.plugin import ModelProviderID
from core.prompt.entities.advanced_prompt_entities import CompletionModelPromptTemplate, MemoryConfig
from core.prompt.utils.prompt_message_util import PromptMessageUtil
from core.rag.entities.citation_metadata import RetrievalSourceMetadata
from core.variables import (
ArrayAnySegment,
ArrayFileSegment,
ArraySegment,
FileSegment,
@ -75,10 +68,8 @@ from core.workflow.utils.structured_output.entities import (
)
from core.workflow.utils.structured_output.prompt import STRUCTURED_OUTPUT_PROMPT
from core.workflow.utils.variable_template_parser import VariableTemplateParser
from extensions.ext_database import db
from models.model import Conversation
from models.provider import Provider, ProviderType
from . import llm_utils
from .entities import (
LLMNodeChatModelMessage,
LLMNodeCompletionModelPromptTemplate,
@ -88,7 +79,6 @@ from .entities import (
from .exc import (
InvalidContextStructureError,
InvalidVariableTypeError,
LLMModeRequiredError,
LLMNodeError,
MemoryRolePrefixRequiredError,
ModelNotExistError,
@ -160,6 +150,7 @@ class LLMNode(BaseNode[LLMNodeData]):
result_text = ""
usage = LLMUsage.empty_usage()
finish_reason = None
variable_pool = self.graph_runtime_state.variable_pool
try:
# init messages template
@ -178,7 +169,10 @@ class LLMNode(BaseNode[LLMNodeData]):
# fetch files
files = (
self._fetch_files(selector=self.node_data.vision.configs.variable_selector)
llm_utils.fetch_files(
variable_pool=variable_pool,
selector=self.node_data.vision.configs.variable_selector,
)
if self.node_data.vision.enabled
else []
)
@ -200,15 +194,18 @@ class LLMNode(BaseNode[LLMNodeData]):
model_instance, model_config = self._fetch_model_config(self.node_data.model)
# fetch memory
memory = self._fetch_memory(node_data_memory=self.node_data.memory, model_instance=model_instance)
memory = llm_utils.fetch_memory(
variable_pool=variable_pool,
app_id=self.app_id,
node_data_memory=self.node_data.memory,
model_instance=model_instance,
)
query = None
if self.node_data.memory:
query = self.node_data.memory.query_prompt_template
if not query and (
query_variable := self.graph_runtime_state.variable_pool.get(
(SYSTEM_VARIABLE_NODE_ID, SystemVariableKey.QUERY)
)
query_variable := variable_pool.get((SYSTEM_VARIABLE_NODE_ID, SystemVariableKey.QUERY))
):
query = query_variable.text
@ -222,7 +219,7 @@ 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,
variable_pool=variable_pool,
jinja2_variables=self.node_data.prompt_config.jinja2_variables,
)
@ -251,7 +248,7 @@ class LLMNode(BaseNode[LLMNodeData]):
usage = event.usage
finish_reason = event.finish_reason
# deduct quota
self.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage)
llm_utils.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage)
break
outputs = {"text": result_text, "usage": jsonable_encoder(usage), "finish_reason": finish_reason}
structured_output = process_structured_output(result_text)
@ -447,18 +444,6 @@ class LLMNode(BaseNode[LLMNodeData]):
return inputs
def _fetch_files(self, *, selector: Sequence[str]) -> Sequence["File"]:
variable = self.graph_runtime_state.variable_pool.get(selector)
if variable is None:
return []
elif isinstance(variable, FileSegment):
return [variable.value]
elif isinstance(variable, ArrayFileSegment):
return variable.value
elif isinstance(variable, NoneSegment | ArrayAnySegment):
return []
raise InvalidVariableTypeError(f"Invalid variable type: {type(variable)}")
def _fetch_context(self, node_data: LLMNodeData):
if not node_data.context.enabled:
return
@ -524,31 +509,10 @@ class LLMNode(BaseNode[LLMNodeData]):
def _fetch_model_config(
self, node_data_model: ModelConfig
) -> tuple[ModelInstance, ModelConfigWithCredentialsEntity]:
if not node_data_model.mode:
raise LLMModeRequiredError("LLM mode is required.")
model = ModelManager().get_model_instance(
tenant_id=self.tenant_id,
model_type=ModelType.LLM,
provider=node_data_model.provider,
model=node_data_model.name,
model, model_config_with_cred = llm_utils.fetch_model_config(
tenant_id=self.tenant_id, node_data_model=node_data_model
)
model.model_type_instance = cast(LargeLanguageModel, model.model_type_instance)
# check model
provider_model = model.provider_model_bundle.configuration.get_provider_model(
model=node_data_model.name, model_type=ModelType.LLM
)
if provider_model is None:
raise ModelNotExistError(f"Model {node_data_model.name} not exist.")
provider_model.raise_for_status()
# model config
stop: list[str] = []
if "stop" in node_data_model.completion_params:
stop = node_data_model.completion_params.pop("stop")
completion_params = model_config_with_cred.parameters
model_schema = model.model_type_instance.get_model_schema(node_data_model.name, model.credentials)
if not model_schema:
@ -556,47 +520,12 @@ class LLMNode(BaseNode[LLMNodeData]):
if self.node_data.structured_output_enabled:
if model_schema.support_structure_output:
node_data_model.completion_params = self._handle_native_json_schema(
node_data_model.completion_params, model_schema.parameter_rules
)
completion_params = self._handle_native_json_schema(completion_params, model_schema.parameter_rules)
else:
# Set appropriate response format based on model capabilities
self._set_response_format(node_data_model.completion_params, model_schema.parameter_rules)
return model, ModelConfigWithCredentialsEntity(
provider=node_data_model.provider,
model=node_data_model.name,
model_schema=model_schema,
mode=node_data_model.mode,
provider_model_bundle=model.provider_model_bundle,
credentials=model.credentials,
parameters=node_data_model.completion_params,
stop=stop,
)
def _fetch_memory(
self, node_data_memory: Optional[MemoryConfig], model_instance: ModelInstance
) -> Optional[TokenBufferMemory]:
if not node_data_memory:
return None
# get conversation id
conversation_id_variable = self.graph_runtime_state.variable_pool.get(
["sys", SystemVariableKey.CONVERSATION_ID.value]
)
if not isinstance(conversation_id_variable, StringSegment):
return None
conversation_id = conversation_id_variable.value
with Session(db.engine, expire_on_commit=False) as session:
stmt = select(Conversation).where(Conversation.app_id == self.app_id, Conversation.id == conversation_id)
conversation = session.scalar(stmt)
if not conversation:
return None
memory = TokenBufferMemory(conversation=conversation, model_instance=model_instance)
return memory
self._set_response_format(completion_params, model_schema.parameter_rules)
model_config_with_cred.parameters = completion_params
return model, model_config_with_cred
def _fetch_prompt_messages(
self,
@ -775,15 +704,15 @@ class LLMNode(BaseNode[LLMNodeData]):
model = ModelManager().get_model_instance(
tenant_id=self.tenant_id,
model_type=ModelType.LLM,
provider=self.node_data.model.provider,
model=self.node_data.model.name,
provider=model_config.provider,
model=model_config.model,
)
model_schema = model.model_type_instance.get_model_schema(
model=self.node_data.model.name,
model=model_config.model,
credentials=model.credentials,
)
if not model_schema:
raise ModelNotExistError(f"Model {self.node_data.model.name} not exist.")
raise ModelNotExistError(f"Model {model_config.model} not exist.")
if self.node_data.structured_output_enabled:
if not model_schema.support_structure_output:
filtered_prompt_messages = self._handle_prompt_based_schema(
@ -810,55 +739,6 @@ class LLMNode(BaseNode[LLMNodeData]):
structured_output = parsed
return structured_output
@classmethod
def deduct_llm_quota(cls, tenant_id: str, model_instance: ModelInstance, usage: LLMUsage) -> None:
provider_model_bundle = model_instance.provider_model_bundle
provider_configuration = provider_model_bundle.configuration
if provider_configuration.using_provider_type != ProviderType.SYSTEM:
return
system_configuration = provider_configuration.system_configuration
quota_unit = None
for quota_configuration in system_configuration.quota_configurations:
if quota_configuration.quota_type == system_configuration.current_quota_type:
quota_unit = quota_configuration.quota_unit
if quota_configuration.quota_limit == -1:
return
break
used_quota = None
if quota_unit:
if quota_unit == QuotaUnit.TOKENS:
used_quota = usage.total_tokens
elif quota_unit == QuotaUnit.CREDITS:
used_quota = dify_config.get_model_credits(model_instance.model)
else:
used_quota = 1
if used_quota is not None and system_configuration.current_quota_type is not None:
with Session(db.engine) as session:
stmt = (
update(Provider)
.where(
Provider.tenant_id == tenant_id,
# TODO: Use provider name with prefix after the data migration.
Provider.provider_name == ModelProviderID(model_instance.provider).provider_name,
Provider.provider_type == ProviderType.SYSTEM.value,
Provider.quota_type == system_configuration.current_quota_type.value,
Provider.quota_limit > Provider.quota_used,
)
.values(
quota_used=Provider.quota_used + used_quota,
last_used=datetime.now(tz=UTC).replace(tzinfo=None),
)
)
session.execute(stmt)
session.commit()
@classmethod
def _extract_variable_selector_to_variable_mapping(
cls,

20
api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py
View File

@ -28,8 +28,9 @@ from core.prompt.utils.prompt_message_util import PromptMessageUtil
from core.workflow.entities.node_entities import NodeRunResult
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.nodes.base.node import BaseNode
from core.workflow.nodes.enums import NodeType
from core.workflow.nodes.llm import LLMNode, ModelConfig
from core.workflow.nodes.llm import ModelConfig, llm_utils
from core.workflow.utils import variable_template_parser
from .entities import ParameterExtractorNodeData
@ -83,7 +84,7 @@ def extract_json(text):
return None
class ParameterExtractorNode(LLMNode):
class ParameterExtractorNode(BaseNode):
"""
Parameter Extractor Node.
"""
@ -116,8 +117,11 @@ class ParameterExtractorNode(LLMNode):
variable = self.graph_runtime_state.variable_pool.get(node_data.query)
query = variable.text if variable else ""
variable_pool = self.graph_runtime_state.variable_pool
files = (
self._fetch_files(
llm_utils.fetch_files(
variable_pool=variable_pool,
selector=node_data.vision.configs.variable_selector,
)
if node_data.vision.enabled
@ -137,7 +141,9 @@ class ParameterExtractorNode(LLMNode):
raise ModelSchemaNotFoundError("Model schema not found")
# fetch memory
memory = self._fetch_memory(
memory = llm_utils.fetch_memory(
variable_pool=variable_pool,
app_id=self.app_id,
node_data_memory=node_data.memory,
model_instance=model_instance,
)
@ -279,7 +285,7 @@ class ParameterExtractorNode(LLMNode):
tool_call = invoke_result.message.tool_calls[0] if invoke_result.message.tool_calls else None
# deduct quota
self.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage)
llm_utils.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage)
if text is None:
text = ""
@ -794,7 +800,9 @@ class ParameterExtractorNode(LLMNode):
Fetch model config.
"""
if not self._model_instance or not self._model_config:
self._model_instance, self._model_config = super()._fetch_model_config(node_data_model)
self._model_instance, self._model_config = llm_utils.fetch_model_config(
tenant_id=self.tenant_id, node_data_model=node_data_model
)
return self._model_instance, self._model_config

8
api/core/workflow/nodes/question_classifier/question_classifier_node.py
View File

@ -18,6 +18,7 @@ from core.workflow.nodes.llm import (
LLMNode,
LLMNodeChatModelMessage,
LLMNodeCompletionModelPromptTemplate,
llm_utils,
)
from core.workflow.utils.variable_template_parser import VariableTemplateParser
from libs.json_in_md_parser import parse_and_check_json_markdown
@ -50,7 +51,9 @@ class QuestionClassifierNode(LLMNode):
# fetch model config
model_instance, model_config = self._fetch_model_config(node_data.model)
# fetch memory
memory = self._fetch_memory(
memory = llm_utils.fetch_memory(
variable_pool=variable_pool,
app_id=self.app_id,
node_data_memory=node_data.memory,
model_instance=model_instance,
)
@ -59,7 +62,8 @@ class QuestionClassifierNode(LLMNode):
node_data.instruction = variable_pool.convert_template(node_data.instruction).text
files = (
self._fetch_files(
llm_utils.fetch_files(
variable_pool=variable_pool,
selector=node_data.vision.configs.variable_selector,
)
if node_data.vision.enabled

2
api/mypy.ini
View File

@ -2,6 +2,8 @@
warn_return_any = True
warn_unused_configs = True
check_untyped_defs = True
cache_fine_grained = True
sqlite_cache = True
exclude = (?x)(
core/model_runtime/model_providers/
| tests/

5
api/pyproject.toml
View File

@ -56,7 +56,6 @@ dependencies = [
"opentelemetry-sdk==1.27.0",
"opentelemetry-semantic-conventions==0.48b0",
"opentelemetry-util-http==0.48b0",
"pandas-stubs~=2.2.3.241009",
"pandas[excel,output-formatting,performance]~=2.2.2",
"pandoc~=2.4",
"psycogreen~=1.0.2",
@ -104,7 +103,7 @@ dev = [
"dotenv-linter~=0.5.0",
"faker~=32.1.0",
"lxml-stubs~=0.5.1",
"mypy~=1.15.0",
"mypy~=1.16.0",
"ruff~=0.11.5",
"pytest~=8.3.2",
"pytest-benchmark~=4.0.0",
@ -152,6 +151,8 @@ dev = [
"types_pyOpenSSL>=24.1.0",
"types_cffi>=1.17.0",
"types_setuptools>=80.9.0",
"pandas-stubs~=2.2.3",
"scipy-stubs>=1.15.3.0",
]
############################################################

5
api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py
View File

@ -353,7 +353,7 @@ def test_extract_json_from_tool_call():
assert result["location"] == "kawaii"
def test_chat_parameter_extractor_with_memory(setup_model_mock):
def test_chat_parameter_extractor_with_memory(setup_model_mock, monkeypatch):
"""
Test chat parameter extractor with memory.
"""
@ -384,7 +384,8 @@ def test_chat_parameter_extractor_with_memory(setup_model_mock):
mode="chat",
credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")},
)
node._fetch_memory = get_mocked_fetch_memory("customized memory")
# Test the mock before running the actual test
monkeypatch.setattr("core.workflow.nodes.llm.llm_utils.fetch_memory", get_mocked_fetch_memory("customized memory"))
db.session.close = MagicMock()
result = node._run()

34
api/tests/unit_tests/core/workflow/nodes/llm/test_node.py
View File

@ -25,6 +25,7 @@ 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 import llm_utils
from core.workflow.nodes.llm.entities import (
ContextConfig,
LLMNodeChatModelMessage,
@ -170,7 +171,7 @@ def model_config():
)
def test_fetch_files_with_file_segment(llm_node):
def test_fetch_files_with_file_segment():
file = File(
id="1",
tenant_id="test",
@ -180,13 +181,14 @@ def test_fetch_files_with_file_segment(llm_node):
related_id="1",
storage_key="",
)
llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], file)
variable_pool = VariablePool()
variable_pool.add(["sys", "files"], file)
result = llm_node._fetch_files(selector=["sys", "files"])
result = llm_utils.fetch_files(variable_pool=variable_pool, selector=["sys", "files"])
assert result == [file]
def test_fetch_files_with_array_file_segment(llm_node):
def test_fetch_files_with_array_file_segment():
files = [
File(
id="1",
@ -207,28 +209,32 @@ def test_fetch_files_with_array_file_segment(llm_node):
storage_key="",
),
]
llm_node.graph_runtime_state.variable_pool.add(["sys", "files"], ArrayFileSegment(value=files))
variable_pool = VariablePool()
variable_pool.add(["sys", "files"], ArrayFileSegment(value=files))
result = llm_node._fetch_files(selector=["sys", "files"])
result = llm_utils.fetch_files(variable_pool=variable_pool, 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())
def test_fetch_files_with_none_segment():
variable_pool = VariablePool()
variable_pool.add(["sys", "files"], NoneSegment())
result = llm_node._fetch_files(selector=["sys", "files"])
result = llm_utils.fetch_files(variable_pool=variable_pool, 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=[]))
def test_fetch_files_with_array_any_segment():
variable_pool = VariablePool()
variable_pool.add(["sys", "files"], ArrayAnySegment(value=[]))
result = llm_node._fetch_files(selector=["sys", "files"])
result = llm_utils.fetch_files(variable_pool=variable_pool, selector=["sys", "files"])
assert result == []
def test_fetch_files_with_non_existent_variable(llm_node):
result = llm_node._fetch_files(selector=["sys", "files"])
def test_fetch_files_with_non_existent_variable():
variable_pool = VariablePool()
result = llm_utils.fetch_files(variable_pool=variable_pool, selector=["sys", "files"])
assert result == []

4370
api/uv.lock
View File

File diff suppressed because it is too large Load Diff

2
dev/mypy-check
View File

@ -7,4 +7,4 @@ cd "$SCRIPT_DIR/.."
# run mypy checks
uv run --directory api --dev --with pip \
python -m mypy --install-types --non-interactive --cache-fine-grained --sqlite-cache .
python -m mypy --install-types --non-interactive ./

2
web/app/components/plugins/plugin-page/index.tsx
View File

@ -206,7 +206,7 @@ const PluginPage = ({
variant='secondary-accent'
>
<RiBookOpenLine className='mr-1 h-4 w-4' />
{t('plugin.submitPlugin')}
{t('plugin.publishPlugins')}
</Button>
</Link>
<div className='mx-1 h-3.5 w-[1px] shrink-0 bg-divider-regular'></div>

4
web/app/components/workflow/nodes/llm/use-config.ts
View File

@ -247,11 +247,11 @@ const useConfig = (id: string, payload: LLMNodeType) => {
}, [inputs, setInputs])
const handlePromptChange = useCallback((newPrompt: PromptItem[] | PromptItem) => {
const newInputs = produce(inputRef.current, (draft) => {
const newInputs = produce(inputs, (draft) => {
draft.prompt_template = newPrompt
})
setInputs(newInputs)
}, [setInputs])
}, [inputs, setInputs])
const handleMemoryChange = useCallback((newMemory?: Memory) => {
const newInputs = produce(inputs, (draft) => {

2
web/app/components/workflow/types.ts
View File

@ -209,7 +209,7 @@ export type InputVar = {
value_selector?: ValueSelector
placeholder?: string
unit?: string
hide: boolean
hide?: boolean
} & Partial<UploadFileSetting>
export type ModelConfig = {

2
web/i18n/de-DE/plugin.ts
View File

@ -195,7 +195,6 @@ const translation = {
allCategories: 'Alle Kategorien',
install: '{{num}} Installationen',
installAction: 'Installieren',
submitPlugin: 'Plugin einreichen',
from: 'Von',
fromMarketplace: 'Aus dem Marketplace',
search: 'Suchen',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'Die aktuelle Dify-Version ist mit diesem Plugin nicht kompatibel, bitte aktualisieren Sie auf die erforderliche Mindestversion: {{minimalDifyVersion}}',
requestAPlugin: 'Ein Plugin anfordern',
publishPlugins: 'Plugins veröffentlichen',
}
export default translation

2
web/i18n/en-US/plugin.ts
View File

@ -212,7 +212,7 @@ const translation = {
clearAll: 'Clear all',
},
requestAPlugin: 'Request a plugin',
submitPlugin: 'Submit plugin',
publishPlugins: 'Publish plugins',
difyVersionNotCompatible: 'The current Dify version is not compatible with this plugin, please upgrade to the minimum version required: {{minimalDifyVersion}}',
}

2
web/i18n/es-ES/plugin.ts
View File

@ -195,7 +195,6 @@ const translation = {
fromMarketplace: 'De Marketplace',
endpointsEnabled: '{{num}} conjuntos de puntos finales habilitados',
from: 'De',
submitPlugin: 'Enviar plugin',
installAction: 'Instalar',
install: '{{num}} instalaciones',
allCategories: 'Todas las categorías',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'La versión actual de Dify no es compatible con este plugin, por favor actualiza a la versión mínima requerida: {{minimalDifyVersion}}',
requestAPlugin: 'Solicitar un plugin',
publishPlugins: 'Publicar plugins',
}
export default translation

2
web/i18n/fa-IR/plugin.ts
View File

@ -195,7 +195,6 @@ const translation = {
searchTools: 'ابزارهای جستجو...',
findMoreInMarketplace: 'اطلاعات بیشتر در Marketplace',
searchInMarketplace: 'جستجو در Marketplace',
submitPlugin: 'ارسال افزونه',
searchCategories: 'دسته بندی ها را جستجو کنید',
fromMarketplace: 'از بازار',
installPlugin: 'افزونه را نصب کنید',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'نسخه فعلی دیفی با این پلاگین سازگار نیست، لطفاً به نسخه حداقل مورد نیاز به‌روزرسانی کنید: {{minimalDifyVersion}}',
requestAPlugin: 'درخواست یک افزونه',
publishPlugins: 'انتشار افزونه ها',
}
export default translation

2
web/i18n/fr-FR/plugin.ts
View File

@ -193,7 +193,6 @@ const translation = {
installing: 'Installation des plugins {{installingLength}}, 0 fait.',
},
search: 'Rechercher',
submitPlugin: 'Soumettre le plugin',
installAction: 'Installer',
from: 'De',
searchCategories: 'Catégories de recherche',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'La version actuelle de Dify n\'est pas compatible avec ce plugin, veuillez mettre à niveau vers la version minimale requise : {{minimalDifyVersion}}',
requestAPlugin: 'Demander un plugin',
publishPlugins: 'Publier des plugins',
}
export default translation

1
web/i18n/fr-FR/workflow.ts
View File

@ -464,6 +464,7 @@ const translation = {
options: {
disabled: {
subTitle: 'Ne pas activer le filtrage des métadonnées',
title: 'Handicapé',
},
automatic: {
subTitle: 'Générer automatiquement des conditions de filtrage des métadonnées en fonction de la requête de l\'utilisateur',

2
web/i18n/hi-IN/plugin.ts
View File

@ -196,7 +196,6 @@ const translation = {
fromMarketplace: 'मार्केटप्लेस से',
searchPlugins: 'खोज प्लगइन्स',
install: '{{num}} इंस्टॉलेशन',
submitPlugin: 'प्लगइन सबमिट करें',
allCategories: 'सभी श्रेणियाँ',
search: 'खोज',
searchTools: 'खोज उपकरण...',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'वर्तमान डिफाई संस्करण इस प्लगइन के साथ संगत नहीं है, कृपया आवश्यक न्यूनतम संस्करण में अपग्रेड करें: {{minimalDifyVersion}}',
requestAPlugin: 'एक प्लगइन का अनुरोध करें',
publishPlugins: 'प्लगइन प्रकाशित करें',
}
export default translation

2
web/i18n/it-IT/plugin.ts
View File

@ -203,7 +203,6 @@ const translation = {
install: '{{num}} installazioni',
findMoreInMarketplace: 'Scopri di più su Marketplace',
installPlugin: 'Installa il plugin',
submitPlugin: 'Invia plugin',
searchPlugins: 'Plugin di ricerca',
search: 'Ricerca',
installFrom: 'INSTALLA DA',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'L\'attuale versione di Dify non è compatibile con questo plugin, si prega di aggiornare alla versione minima richiesta: {{minimalDifyVersion}}',
requestAPlugin: 'Richiedi un plugin',
publishPlugins: 'Pubblicare plugin',
}
export default translation

2
web/i18n/ja-JP/plugin.ts
View File

@ -206,12 +206,12 @@ const translation = {
searchTools: '検索ツール...',
installPlugin: 'プラグインをインストールする',
searchInMarketplace: 'マーケットプレイスで検索',
submitPlugin: 'プラグインを提出する',
difyVersionNotCompatible: '現在の Dify バージョンはこのプラグインと互換性がありません。最小バージョンは{{minimalDifyVersion}}です。',
metadata: {
title: 'プラグイン',
},
requestAPlugin: 'プラグインをリクエストする',
publishPlugins: 'プラグインを公開する',
}
export default translation

2
web/i18n/ko-KR/plugin.ts
View File

@ -198,7 +198,6 @@ const translation = {
endpointsEnabled: '{{num}}개의 엔드포인트 집합이 활성화되었습니다.',
installFrom: '에서 설치',
allCategories: '모든 카테고리',
submitPlugin: '플러그인 제출',
findMoreInMarketplace: 'Marketplace 에서 더 알아보기',
searchCategories: '검색 카테고리',
search: '검색',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: '현재 Dify 버전이 이 플러그인과 호환되지 않습니다. 필요한 최소 버전으로 업그레이드하십시오: {{minimalDifyVersion}}',
requestAPlugin: '플러그인을 요청하세요',
publishPlugins: '플러그인 게시',
}
export default translation

2
web/i18n/pl-PL/plugin.ts
View File

@ -206,12 +206,12 @@ const translation = {
fromMarketplace: 'Z Marketplace',
searchPlugins: 'Wtyczki wyszukiwania',
searchTools: 'Narzędzia wyszukiwania...',
submitPlugin: 'Prześlij wtyczkę',
metadata: {
title: 'Wtyczki',
},
difyVersionNotCompatible: 'Obecna wersja Dify nie jest kompatybilna z tym wtyczką, proszę zaktualizować do minimalnej wymaganej wersji: {{minimalDifyVersion}}',
requestAPlugin: 'Poproś o wtyczkę',
publishPlugins: 'Publikowanie wtyczek',
}
export default translation

2
web/i18n/pt-BR/plugin.ts
View File

@ -194,7 +194,6 @@ const translation = {
},
installAction: 'Instalar',
endpointsEnabled: '{{num}} conjuntos de endpoints habilitados',
submitPlugin: 'Enviar plugin',
searchPlugins: 'Pesquisar plugins',
searchInMarketplace: 'Pesquisar no Marketplace',
installPlugin: 'Instale o plugin',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'A versão atual do Dify não é compatível com este plugin, por favor atualize para a versão mínima exigida: {{minimalDifyVersion}}',
requestAPlugin: 'Solicitar um plugin',
publishPlugins: 'Publicar plugins',
}
export default translation

2
web/i18n/ro-RO/plugin.ts
View File

@ -192,7 +192,6 @@ const translation = {
installingWithSuccess: 'Instalarea pluginurilor {{installingLength}}, {{successLength}} succes.',
installing: 'Instalarea pluginurilor {{installingLength}}, 0 terminat.',
},
submitPlugin: 'Trimite plugin',
fromMarketplace: 'Din Marketplace',
from: 'Din',
findMoreInMarketplace: 'Află mai multe în Marketplace',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'Versiunea curentă Dify nu este compatibilă cu acest plugin, vă rugăm să faceți upgrade la versiunea minimă necesară: {{minimalDifyVersion}}',
requestAPlugin: 'Solicitați un plugin',
publishPlugins: 'Publicați pluginuri',
}
export default translation

2
web/i18n/ru-RU/plugin.ts
View File

@ -199,7 +199,6 @@ const translation = {
searchTools: 'Инструменты поиска...',
allCategories: 'Все категории',
endpointsEnabled: '{{num}} наборы включенных конечных точек',
submitPlugin: 'Отправить плагин',
installAction: 'Устанавливать',
from: 'От',
installFrom: 'УСТАНОВИТЬ С',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'Текущая версия Dify не совместима с этим плагином, пожалуйста, обновите до минимально необходимой версии: {{minimalDifyVersion}}',
requestAPlugin: 'Запросите плагин',
publishPlugins: 'Публикация плагинов',
}
export default translation

2
web/i18n/sl-SI/plugin.ts
View File

@ -209,9 +209,9 @@ const translation = {
findMoreInMarketplace: 'Poiščite več v Tržnici',
install: '{{num}} namestitev',
allCategories: 'Vse kategorije',
submitPlugin: 'Oddajte vtičnik',
difyVersionNotCompatible: 'Trenutna različica Dify ni združljiva s to vtičnico, prosimo, posodobite na minimalno zahtevano različico: {{minimalDifyVersion}}',
requestAPlugin: 'Zahtevajte vtičnik',
publishPlugins: 'Objavljanje vtičnikov',
}
export default translation

2
web/i18n/th-TH/plugin.ts
View File

@ -205,13 +205,13 @@ const translation = {
searchTools: 'เครื่องมือค้นหา...',
installFrom: 'ติดตั้งจาก',
fromMarketplace: 'จาก Marketplace',
submitPlugin: 'ส่งปลั๊กอิน',
allCategories: 'หมวดหมู่ทั้งหมด',
metadata: {
title: 'ปลั๊กอิน',
},
difyVersionNotCompatible: 'เวอร์ชั่นปัจจุบันของ Dify ไม่สามารถใช้งานร่วมกับปลั๊กอินนี้ได้ กรุณาอัปเกรดไปยังเวอร์ชั่นขั้นต่ำที่ต้องการ: {{minimalDifyVersion}}',
requestAPlugin: 'ขอปลั๊กอิน',
publishPlugins: 'เผยแพร่ปลั๊กอิน',
}
export default translation

2
web/i18n/tr-TR/plugin.ts
View File

@ -197,7 +197,6 @@ const translation = {
search: 'Aramak',
install: '{{num}} yükleme',
searchPlugins: 'Eklentileri ara',
submitPlugin: 'Eklenti gönder',
searchTools: 'Arama araçları...',
fromMarketplace: 'Pazar Yerinden',
installPlugin: 'Eklentiyi yükle',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'Mevcut Dify sürümü bu eklentiyle uyumlu değil, lütfen gerekli minimum sürüme güncelleyin: {{minimalDifyVersion}}',
requestAPlugin: 'Bir eklenti iste',
publishPlugins: 'Eklentileri yayınlayın',
}
export default translation

2
web/i18n/uk-UA/plugin.ts
View File

@ -192,7 +192,6 @@ const translation = {
installing: 'Встановлення плагінів {{installingLength}}, 0 виконано.',
installingWithSuccess: 'Встановлення плагінів {{installingLength}}, успіх {{successLength}}.',
},
submitPlugin: 'Надіслати плагін',
from: 'Від',
searchInMarketplace: 'Пошук у Marketplace',
endpointsEnabled: '{{num}} наборів кінцевих точок увімкнено',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'Поточна версія Dify не сумісна з цим плагіном, будь ласка, оновіть до мінімальної версії: {{minimalDifyVersion}}',
requestAPlugin: 'Запросити плагін',
publishPlugins: 'Публікація плагінів',
}
export default translation

2
web/i18n/vi-VN/plugin.ts
View File

@ -198,7 +198,6 @@ const translation = {
endpointsEnabled: '{{num}} bộ điểm cuối được kích hoạt',
install: '{{num}} lượt cài đặt',
findMoreInMarketplace: 'Tìm thêm trong Marketplace',
submitPlugin: 'Gửi plugin',
search: 'Tìm kiếm',
searchCategories: 'Danh mục tìm kiếm',
installPlugin: 'Cài đặt plugin',
@ -212,6 +211,7 @@ const translation = {
},
difyVersionNotCompatible: 'Phiên bản Dify hiện tại không tương thích với plugin này, vui lòng nâng cấp lên phiên bản tối thiểu cần thiết: {{minimalDifyVersion}}',
requestAPlugin: 'Yêu cầu một plugin',
publishPlugins: 'Xuất bản plugin',
}
export default translation

2
web/i18n/zh-Hans/plugin.ts
View File

@ -212,7 +212,7 @@ const translation = {
clearAll: '清除所有',
},
requestAPlugin: '申请插件',
submitPlugin: '上传插件',
publishPlugins: '发布插件',
difyVersionNotCompatible: '当前 Dify 版本不兼容该插件，其最低版本要求为 {{minimalDifyVersion}}',
}

82
web/i18n/zh-Hant/plugin.ts
View File

@ -20,8 +20,8 @@ const translation = {
github: '從 GitHub 安裝',
marketplace: '從 Marketplace 安裝',
},
noInstalled: '未安裝外掛程式',
notFound: '未找到外掛程式',
noInstalled: '未安裝插件',
notFound: '未找到插件',
},
source: {
marketplace: '市場',
@ -31,12 +31,12 @@ const translation = {
detailPanel: {
categoryTip: {
marketplace: '從 Marketplace 安裝',
debugging: '調試外掛程式',
debugging: '調試插件',
github: '從 Github 安裝',
local: '本地外掛程式',
local: '本地插件',
},
operation: {
info: '外掛程式資訊',
info: '插件資訊',
detail: '詳',
remove: '刪除',
install: '安裝',
@ -45,7 +45,7 @@ const translation = {
checkUpdate: '檢查更新',
},
toolSelector: {
uninstalledContent: '此外掛程式是從 local/GitHub 儲存庫安裝的。請在安裝後使用。',
uninstalledContent: '此插件是從 local/GitHub 儲存庫安裝的。請在安裝後使用。',
descriptionLabel: '工具描述',
params: '推理配置',
paramsTip2: '當 \'Automatic\' 關閉時，使用預設值。',
@ -56,9 +56,9 @@ const translation = {
uninstalledTitle: '未安裝工具',
auto: '自動',
title: '添加工具',
unsupportedContent: '已安裝的外掛程式版本不提供此作。',
unsupportedContent: '已安裝的插件版本不提供此作。',
settings: '用戶設置',
uninstalledLink: '在外掛程式中管理',
uninstalledLink: '在插件中管理',
empty: '點擊 『+』 按鈕添加工具。您可以新增多個工具。',
unsupportedContent2: '按兩下以切換版本。',
paramsTip1: '控制 LLM 推理參數。',
@ -69,14 +69,14 @@ const translation = {
strategyNum: '{{num}}{{策略}}包括',
endpoints: '端點',
endpointDisableTip: '禁用端點',
endpointsTip: '此外掛程式通過終端節點提供特定功能，您可以為當前工作區配置多個終端節點集。',
endpointsTip: '此插件通過終端節點提供特定功能，您可以為當前工作區配置多個終端節點集。',
modelNum: '{{num}}包含的型號',
endpointsEmpty: '按兩下「+」按鈕添加端點',
endpointDisableContent: '您想禁用 {{name}} 嗎？',
configureApp: '配置 App',
endpointDeleteContent: '您想刪除 {{name}} 嗎？',
configureTool: '配置工具',
endpointModalDesc: '配置后，即可使用外掛程式通過 API 端點提供的功能。',
endpointModalDesc: '配置后，即可使用插件通過 API 端點提供的功能。',
disabled: '禁用',
serviceOk: '服務正常',
endpointDeleteTip: '刪除端點',
@ -89,26 +89,26 @@ const translation = {
title: '調試',
},
privilege: {
whoCanDebug: '誰可以調試外掛程式？',
whoCanInstall: '誰可以安裝和管理外掛程式？',
whoCanDebug: '誰可以調試插件？',
whoCanInstall: '誰可以安裝和管理插件？',
noone: '沒人',
title: '外掛程式首選項',
title: '插件首選項',
everyone: '每個人 都',
admins: '管理員',
},
pluginInfoModal: {
repository: '存儲庫',
release: '釋放',
title: '外掛程式資訊',
title: '插件資訊',
packageName: '包',
},
action: {
deleteContentRight: '外掛程式？',
deleteContentRight: '插件？',
deleteContentLeft: '是否要刪除',
usedInApps: '此外掛程式正在 {{num}} 個應用程式中使用。',
pluginInfo: '外掛程式資訊',
usedInApps: '此插件正在 {{num}} 個應用程式中使用。',
pluginInfo: '插件資訊',
checkForUpdates: '檢查更新',
delete: '刪除外掛程式',
delete: '刪除插件',
},
installModal: {
labels: {
@ -116,26 +116,26 @@ const translation = {
version: '版本',
package: '包',
},
readyToInstallPackage: '即將安裝以下外掛程式',
readyToInstallPackage: '即將安裝以下插件',
back: '返回',
installFailed: '安裝失敗',
readyToInstallPackages: '即將安裝以下 {{num}} 個外掛程式',
readyToInstallPackages: '即將安裝以下 {{num}} 個插件',
next: '下一個',
dropPluginToInstall: '將外掛程式包拖放到此處進行安裝',
pluginLoadError: '外掛程式載入錯誤',
dropPluginToInstall: '將插件包拖放到此處進行安裝',
pluginLoadError: '插件載入錯誤',
installedSuccessfully: '安裝成功',
uploadFailed: '上傳失敗',
installFailedDesc: '外掛程式安裝失敗。',
fromTrustSource: '請確保您只從<trustSource>受信任的來源</trustSource>安裝外掛程式。',
pluginLoadErrorDesc: '此外掛程式將不會被安裝',
installFailedDesc: '插件安裝失敗。',
fromTrustSource: '請確保您只從<trustSource>受信任的來源</trustSource>安裝插件。',
pluginLoadErrorDesc: '此插件將不會被安裝',
installComplete: '安裝完成',
install: '安裝',
installedSuccessfullyDesc: '外掛程式已成功安裝。',
installedSuccessfullyDesc: '插件已成功安裝。',
close: '關閉',
uploadingPackage: '正在上傳 {{packageName}}...',
readyToInstall: '即將安裝以下外掛程式',
readyToInstall: '即將安裝以下插件',
cancel: '取消',
installPlugin: '安裝外掛程式',
installPlugin: '安裝插件',
installing: '安裝。。。',
},
installFromGitHub: {
@ -145,18 +145,18 @@ const translation = {
uploadFailed: '上傳失敗',
selectVersion: '選擇版本',
selectVersionPlaceholder: '請選擇一個版本',
updatePlugin: '從 GitHub 更新外掛程式',
installPlugin: '從 GitHub 安裝外掛程式',
updatePlugin: '從 GitHub 更新插件',
installPlugin: '從 GitHub 安裝插件',
installedSuccessfully: '安裝成功',
selectPackage: '選擇套餐',
installNote: '請確保您只從受信任的來源安裝外掛程式。',
installNote: '請確保您只從受信任的來源安裝插件。',
},
upgrade: {
close: '關閉',
title: '安裝外掛程式',
title: '安裝插件',
upgrade: '安裝',
upgrading: '安裝。。。',
description: '即將安裝以下外掛程式',
description: '即將安裝以下插件',
usedInApps: '用於 {{num}} 個應用',
successfulTitle: '安裝成功',
},
@ -173,7 +173,7 @@ const translation = {
mostPopular: '最受歡迎',
},
discover: '發現',
noPluginFound: '未找到外掛程式',
noPluginFound: '未找到插件',
empower: '為您的 AI 開發提供支援',
moreFrom: '來自 Marketplace 的更多內容',
and: '和',
@ -186,20 +186,20 @@ const translation = {
},
task: {
installingWithError: '安裝 {{installingLength}} 個插件，{{successLength}} 成功，{{errorLength}} 失敗',
installedError: '{{errorLength}} 個外掛程式安裝失敗',
installError: '{{errorLength}} 個外掛程式安裝失敗，點擊查看',
installedError: '{{errorLength}} 個插件安裝失敗',
installError: '{{errorLength}} 個插件安裝失敗，點擊查看',
installingWithSuccess: '安裝 {{installingLength}} 個插件，{{successLength}} 成功。',
clearAll: '全部清除',
installing: '安裝 {{installingLength}} 個外掛程式，0 個完成。',
installing: '安裝 {{installingLength}} 個插件，0 個完成。',
},
requestAPlugin: '申请外掛程式',
submitPlugin: '提交外掛程式',
requestAPlugin: '申请插件',
publishPlugins: '發佈插件',
findMoreInMarketplace: '在 Marketplace 中查找更多內容',
installPlugin: '安裝外掛程式',
installPlugin: '安裝插件',
search: '搜索',
allCategories: '全部分類',
from: '從',
searchPlugins: '搜索外掛程式',
searchPlugins: '搜索插件',
searchTools: '搜尋工具...',
installAction: '安裝',
installFrom: '安裝起始位置',

24
web/i18n/zh-Hant/workflow.ts
View File

@ -231,7 +231,7 @@ const translation = {
'noResult': '未找到匹配項',
'searchTool': '搜索工具',
'agent': '代理策略',
'plugin': '外掛程式',
'plugin': '插件',
},
blocks: {
'start': '開始',
@ -789,13 +789,13 @@ const translation = {
},
modelNotInMarketplace: {
title: '未安裝模型',
manageInPlugins: '在外掛程式中管理',
manageInPlugins: '在插件中管理',
desc: '此模型是從 Local 或 GitHub 儲存庫安裝的。請在安裝後使用。',
},
modelNotSupport: {
title: '不支援的型號',
desc: '已安裝的外掛程式版本不提供此模型。',
descForVersionSwitch: '已安裝的外掛程式版本不提供此模型。按兩下以切換版本。',
desc: '已安裝的插件版本不提供此模型。',
descForVersionSwitch: '已安裝的插件版本不提供此模型。按兩下以切換版本。',
},
modelSelectorTooltips: {
deprecated: '此模型已棄用',
@ -815,18 +815,18 @@ const translation = {
strategyNotSelected: '未選擇策略',
},
installPlugin: {
title: '安裝外掛程式',
title: '安裝插件',
changelog: '更新日誌',
cancel: '取消',
desc: '即將安裝以下外掛程式',
desc: '即將安裝以下插件',
install: '安裝',
},
pluginNotFoundDesc: '此外掛程式是從 GitHub 安裝的。請前往外掛程式 重新安裝',
pluginNotFoundDesc: '此插件是從 GitHub 安裝的。請前往插件 重新安裝',
modelNotSelected: '未選擇模型',
tools: '工具',
strategyNotFoundDesc: '已安裝的外掛程式版本不提供此策略。',
pluginNotInstalledDesc: '此外掛程式是從 GitHub 安裝的。請前往外掛程式 重新安裝',
strategyNotFoundDescAndSwitchVersion: '已安裝的外掛程式版本不提供此策略。按兩下以切換版本。',
strategyNotFoundDesc: '已安裝的插件版本不提供此策略。',
pluginNotInstalledDesc: '此插件是從 GitHub 安裝的。請前往插件 重新安裝',
strategyNotFoundDescAndSwitchVersion: '已安裝的插件版本不提供此策略。按兩下以切換版本。',
strategyNotInstallTooltip: '{{strategy}} 未安裝',
toolNotAuthorizedTooltip: '{{工具}}未授權',
unsupportedStrategy: '不支援的策略',
@ -838,8 +838,8 @@ const translation = {
toolbox: '工具箱',
configureModel: '配置模型',
learnMore: '瞭解更多資訊',
linkToPlugin: '連結到外掛程式',
pluginNotInstalled: '此外掛程式未安裝',
linkToPlugin: '連結到插件',
pluginNotInstalled: '此插件未安裝',
notAuthorized: '未授權',
},
loop: {