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Merge branch 'feat/mcp' into deploy/dev

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Novice
2025-07-09 09:44:01 +08:00
parent a3e1a15ef6 cca3cff759
commit f6ddcfdcfd
38 changed files with 501 additions and 262 deletions
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19
api/controllers/mcp/mcp.py
View File

@ -4,6 +4,7 @@ from pydantic import ValidationError
from controllers.console.app.mcp_server import AppMCPServerStatus
from controllers.mcp import api
from core.app.app_config.entities import VariableEntity
from core.mcp import types
from core.mcp.server.streamable_http import MCPServerStreamableHTTPRequestHandler
from core.mcp.types import ClientNotification, ClientRequest
from core.mcp.utils import create_mcp_error_response
@ -31,22 +32,26 @@ class MCPAppApi(Resource):
server = db.session.query(AppMCPServer).filter(AppMCPServer.server_code == server_code).first()
if not server:
return helper.compact_generate_response(create_mcp_error_response(request_id, -32001, "Server Not Found"))
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_REQUEST, "Server Not Found")
)
if server.status != AppMCPServerStatus.ACTIVE:
return helper.compact_generate_response(
create_mcp_error_response(request_id, -32001, "Server is not active")
create_mcp_error_response(request_id, types.INVALID_REQUEST, "Server is not active")
)
app = db.session.query(App).filter(App.id == server.app_id).first()
if not app:
return helper.compact_generate_response(create_mcp_error_response(request_id, -32001, "App Not Found"))
return helper.compact_generate_response(
create_mcp_error_response(request_id, types.INVALID_REQUEST, "App Not Found")
)
if app.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
workflow = app.workflow
if workflow is None:
return helper.compact_generate_response(
create_mcp_error_response(request_id, -32001, "App is unavailable")
create_mcp_error_response(request_id, types.INVALID_REQUEST, "App is unavailable")
)
user_input_form = workflow.user_input_form(to_old_structure=True)
@ -54,7 +59,7 @@ class MCPAppApi(Resource):
app_model_config = app.app_model_config
if app_model_config is None:
return helper.compact_generate_response(
create_mcp_error_response(request_id, -32001, "App is unavailable")
create_mcp_error_response(request_id, types.INVALID_REQUEST, "App is unavailable")
)
features_dict = app_model_config.to_dict()
@ -77,7 +82,7 @@ class MCPAppApi(Resource):
)
except ValidationError as e:
return helper.compact_generate_response(
create_mcp_error_response(request_id, -32602, f"Invalid user_input_form: {str(e)}")
create_mcp_error_response(request_id, types.INVALID_PARAMS, f"Invalid user_input_form: {str(e)}")
)
try:
@ -88,7 +93,7 @@ class MCPAppApi(Resource):
request = notification
except ValidationError as e:
return helper.compact_generate_response(
create_mcp_error_response(request_id, -32602, f"Invalid MCP request: {str(e)}")
create_mcp_error_response(request_id, types.INVALID_PARAMS, f"Invalid MCP request: {str(e)}")
)
mcp_server_handler = MCPServerStreamableHTTPRequestHandler(app, request, converted_user_input_form)

2
api/core/file/models.py
View File

@ -51,7 +51,7 @@ class File(BaseModel):
# It should be set to `ToolFile.id` when `transfer_method` is `tool_file`.
related_id: Optional[str] = None
filename: Optional[str] = None
extension: Optional[str] = Field(default=None, description="File extension, should contains dot")
extension: Optional[str] = Field(default=None, description="File extension, should contain dot")
mime_type: Optional[str] = None
size: int = -1

67
api/core/file/upload_file_parser.py
View File

@ -1,67 +0,0 @@
import base64
import logging
import time
from typing import Optional
from configs import dify_config
from constants import IMAGE_EXTENSIONS
from core.helper.url_signer import UrlSigner
from extensions.ext_storage import storage
class UploadFileParser:
@classmethod
def get_image_data(cls, upload_file, force_url: bool = False) -> Optional[str]:
if not upload_file:
return None
if upload_file.extension not in IMAGE_EXTENSIONS:
return None
if dify_config.MULTIMODAL_SEND_FORMAT == "url" or force_url:
return cls.get_signed_temp_image_url(upload_file.id)
else:
# get image file base64
try:
data = storage.load(upload_file.key)
except FileNotFoundError:
logging.exception(f"File not found: {upload_file.key}")
return None
encoded_string = base64.b64encode(data).decode("utf-8")
return f"data:{upload_file.mime_type};base64,{encoded_string}"
@classmethod
def get_signed_temp_image_url(cls, upload_file_id) -> str:
"""
get signed url from upload file
:param upload_file_id: the id of UploadFile object
:return:
"""
base_url = dify_config.FILES_URL
image_preview_url = f"{base_url}/files/{upload_file_id}/image-preview"
return UrlSigner.get_signed_url(url=image_preview_url, sign_key=upload_file_id, prefix="image-preview")
@classmethod
def verify_image_file_signature(cls, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool:
"""
verify signature
:param upload_file_id: file id
:param timestamp: timestamp
:param nonce: nonce
:param sign: signature
:return:
"""
result = UrlSigner.verify(
sign_key=upload_file_id, timestamp=timestamp, nonce=nonce, sign=sign, prefix="image-preview"
)
# verify signature
if not result:
return False
current_time = int(time.time())
return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT

22
api/core/helper/lru_cache.py
View File

@ -1,22 +0,0 @@
from collections import OrderedDict
from typing import Any
class LRUCache:
def __init__(self, capacity: int):
self.cache: OrderedDict[Any, Any] = OrderedDict()
self.capacity = capacity
def get(self, key: Any) -> Any:
if key not in self.cache:
return None
else:
self.cache.move_to_end(key) # move the key to the end of the OrderedDict
return self.cache[key]
def put(self, key: Any, value: Any) -> None:
if key in self.cache:
self.cache.move_to_end(key)
self.cache[key] = value
if len(self.cache) > self.capacity:
self.cache.popitem(last=False) # pop the first item

7
api/core/ops/aliyun_trace/aliyun_trace.py
View File

@ -372,6 +372,7 @@ class AliyunDataTrace(BaseTraceInstance):
) -> SpanData:
process_data = node_execution.process_data or {}
outputs = node_execution.outputs or {}
usage_data = process_data.get("usage", {}) if "usage" in process_data else outputs.get("usage", {})
return SpanData(
trace_id=trace_id,
parent_span_id=workflow_span_id,
@ -385,9 +386,9 @@ class AliyunDataTrace(BaseTraceInstance):
GEN_AI_FRAMEWORK: "dify",
GEN_AI_MODEL_NAME: process_data.get("model_name", ""),
GEN_AI_SYSTEM: process_data.get("model_provider", ""),
GEN_AI_USAGE_INPUT_TOKENS: str(outputs.get("usage", {}).get("prompt_tokens", 0)),
GEN_AI_USAGE_OUTPUT_TOKENS: str(outputs.get("usage", {}).get("completion_tokens", 0)),
GEN_AI_USAGE_TOTAL_TOKENS: str(outputs.get("usage", {}).get("total_tokens", 0)),
GEN_AI_USAGE_INPUT_TOKENS: str(usage_data.get("prompt_tokens", 0)),
GEN_AI_USAGE_OUTPUT_TOKENS: str(usage_data.get("completion_tokens", 0)),
GEN_AI_USAGE_TOTAL_TOKENS: str(usage_data.get("total_tokens", 0)),
GEN_AI_PROMPT: json.dumps(process_data.get("prompts", []), ensure_ascii=False),
GEN_AI_COMPLETION: str(outputs.get("text", "")),
GEN_AI_RESPONSE_FINISH_REASON: outputs.get("finish_reason", ""),

26
api/core/ops/arize_phoenix_trace/arize_phoenix_trace.py
View File

@ -213,11 +213,12 @@ class ArizePhoenixDataTrace(BaseTraceInstance):
if model:
node_metadata["ls_model_name"] = model
usage = json.loads(node_execution.outputs).get("usage", {}) if node_execution.outputs else {}
if usage:
node_metadata["total_tokens"] = usage.get("total_tokens", 0)
node_metadata["prompt_tokens"] = usage.get("prompt_tokens", 0)
node_metadata["completion_tokens"] = usage.get("completion_tokens", 0)
outputs = json.loads(node_execution.outputs).get("usage", {})
usage_data = process_data.get("usage", {}) if "usage" in process_data else outputs.get("usage", {})
if usage_data:
node_metadata["total_tokens"] = usage_data.get("total_tokens", 0)
node_metadata["prompt_tokens"] = usage_data.get("prompt_tokens", 0)
node_metadata["completion_tokens"] = usage_data.get("completion_tokens", 0)
elif node_execution.node_type == "dataset_retrieval":
span_kind = OpenInferenceSpanKindValues.RETRIEVER.value
elif node_execution.node_type == "tool":
@ -246,14 +247,19 @@ class ArizePhoenixDataTrace(BaseTraceInstance):
if model:
node_span.set_attribute(SpanAttributes.LLM_MODEL_NAME, model)
usage = json.loads(node_execution.outputs).get("usage", {}) if node_execution.outputs else {}
if usage:
node_span.set_attribute(SpanAttributes.LLM_TOKEN_COUNT_TOTAL, usage.get("total_tokens", 0))
outputs = json.loads(node_execution.outputs).get("usage", {})
usage_data = (
process_data.get("usage", {}) if "usage" in process_data else outputs.get("usage", {})
)
if usage_data:
node_span.set_attribute(
SpanAttributes.LLM_TOKEN_COUNT_PROMPT, usage.get("prompt_tokens", 0)
SpanAttributes.LLM_TOKEN_COUNT_TOTAL, usage_data.get("total_tokens", 0)
)
node_span.set_attribute(
SpanAttributes.LLM_TOKEN_COUNT_COMPLETION, usage.get("completion_tokens", 0)
SpanAttributes.LLM_TOKEN_COUNT_PROMPT, usage_data.get("prompt_tokens", 0)
)
node_span.set_attribute(
SpanAttributes.LLM_TOKEN_COUNT_COMPLETION, usage_data.get("completion_tokens", 0)
)
finally:
node_span.end(end_time=datetime_to_nanos(finished_at))

9
api/core/ops/langfuse_trace/langfuse_trace.py
View File

@ -181,12 +181,9 @@ class LangFuseDataTrace(BaseTraceInstance):
prompt_tokens = 0
completion_tokens = 0
try:
if outputs.get("usage"):
prompt_tokens = outputs.get("usage", {}).get("prompt_tokens", 0)
completion_tokens = outputs.get("usage", {}).get("completion_tokens", 0)
else:
prompt_tokens = process_data.get("usage", {}).get("prompt_tokens", 0)
completion_tokens = process_data.get("usage", {}).get("completion_tokens", 0)
usage_data = process_data.get("usage", {}) if "usage" in process_data else outputs.get("usage", {})
prompt_tokens = usage_data.get("prompt_tokens", 0)
completion_tokens = usage_data.get("completion_tokens", 0)
except Exception:
logger.error("Failed to extract usage", exc_info=True)

9
api/core/ops/langsmith_trace/langsmith_trace.py
View File

@ -206,12 +206,9 @@ class LangSmithDataTrace(BaseTraceInstance):
prompt_tokens = 0
completion_tokens = 0
try:
if outputs.get("usage"):
prompt_tokens = outputs.get("usage", {}).get("prompt_tokens", 0)
completion_tokens = outputs.get("usage", {}).get("completion_tokens", 0)
else:
prompt_tokens = process_data.get("usage", {}).get("prompt_tokens", 0)
completion_tokens = process_data.get("usage", {}).get("completion_tokens", 0)
usage_data = process_data.get("usage", {}) if "usage" in process_data else outputs.get("usage", {})
prompt_tokens = usage_data.get("prompt_tokens", 0)
completion_tokens = usage_data.get("completion_tokens", 0)
except Exception:
logger.error("Failed to extract usage", exc_info=True)

8
api/core/ops/opik_trace/opik_trace.py
View File

@ -222,10 +222,10 @@ class OpikDataTrace(BaseTraceInstance):
)
try:
if outputs.get("usage"):
total_tokens = outputs["usage"].get("total_tokens", 0)
prompt_tokens = outputs["usage"].get("prompt_tokens", 0)
completion_tokens = outputs["usage"].get("completion_tokens", 0)
usage_data = process_data.get("usage", {}) if "usage" in process_data else outputs.get("usage", {})
total_tokens = usage_data.get("total_tokens", 0)
prompt_tokens = usage_data.get("prompt_tokens", 0)
completion_tokens = usage_data.get("completion_tokens", 0)
except Exception:
logger.error("Failed to extract usage", exc_info=True)

20
api/core/workflow/nodes/llm/node.py
View File

@ -221,15 +221,6 @@ class LLMNode(BaseNode[LLMNodeData]):
jinja2_variables=self.node_data.prompt_config.jinja2_variables,
)
process_data = {
"model_mode": model_config.mode,
"prompts": PromptMessageUtil.prompt_messages_to_prompt_for_saving(
model_mode=model_config.mode, prompt_messages=prompt_messages
),
"model_provider": model_config.provider,
"model_name": model_config.model,
}
# handle invoke result
generator = self._invoke_llm(
node_data_model=self.node_data.model,
@ -253,6 +244,17 @@ class LLMNode(BaseNode[LLMNodeData]):
elif isinstance(event, LLMStructuredOutput):
structured_output = event
process_data = {
"model_mode": model_config.mode,
"prompts": PromptMessageUtil.prompt_messages_to_prompt_for_saving(
model_mode=model_config.mode, prompt_messages=prompt_messages
),
"usage": jsonable_encoder(usage),
"finish_reason": finish_reason,
"model_provider": model_config.provider,
"model_name": model_config.model,
}
outputs = {"text": result_text, "usage": jsonable_encoder(usage), "finish_reason": finish_reason}
if structured_output:
outputs["structured_output"] = structured_output.structured_output

7
api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py
View File

@ -253,7 +253,12 @@ class ParameterExtractorNode(BaseNode):
status=WorkflowNodeExecutionStatus.SUCCEEDED,
inputs=inputs,
process_data=process_data,
outputs={"__is_success": 1 if not error else 0, "__reason": error, **result},
outputs={
"__is_success": 1 if not error else 0,
"__reason": error,
"__usage": jsonable_encoder(usage),
**result,
},
metadata={
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens,
WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price,

6
api/core/workflow/nodes/question_classifier/question_classifier_node.py
View File

@ -145,7 +145,11 @@ class QuestionClassifierNode(LLMNode):
"model_provider": model_config.provider,
"model_name": model_config.model,
}
outputs = {"class_name": category_name, "class_id": category_id}
outputs = {
"class_name": category_name,
"class_id": category_id,
"usage": jsonable_encoder(usage),
}
return NodeRunResult(
status=WorkflowNodeExecutionStatus.SUCCEEDED,

194
api/tests/unit_tests/core/helper/test_url_signer.py Normal file
View File

@ -0,0 +1,194 @@
from unittest.mock import patch
from urllib.parse import parse_qs, urlparse
import pytest
from core.helper.url_signer import SignedUrlParams, UrlSigner
class TestUrlSigner:
"""Test cases for UrlSigner class"""
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
def test_should_generate_signed_url_params(self):
"""Test generation of signed URL parameters with all required fields"""
sign_key = "test-sign-key"
prefix = "test-prefix"
params = UrlSigner.get_signed_url_params(sign_key, prefix)
# Verify the returned object and required fields
assert isinstance(params, SignedUrlParams)
assert params.sign_key == sign_key
assert params.timestamp is not None
assert params.nonce is not None
assert params.sign is not None
# Verify nonce format (32 character hex string)
assert len(params.nonce) == 32
assert all(c in "0123456789abcdef" for c in params.nonce)
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
def test_should_generate_complete_signed_url(self):
"""Test generation of complete signed URL with query parameters"""
base_url = "https://example.com/api/test"
sign_key = "test-sign-key"
prefix = "test-prefix"
signed_url = UrlSigner.get_signed_url(base_url, sign_key, prefix)
# Parse URL and verify structure
parsed = urlparse(signed_url)
assert f"{parsed.scheme}://{parsed.netloc}{parsed.path}" == base_url
# Verify query parameters
query_params = parse_qs(parsed.query)
assert "timestamp" in query_params
assert "nonce" in query_params
assert "sign" in query_params
# Verify each parameter has exactly one value
assert len(query_params["timestamp"]) == 1
assert len(query_params["nonce"]) == 1
assert len(query_params["sign"]) == 1
# Verify parameter values are not empty
assert query_params["timestamp"][0]
assert query_params["nonce"][0]
assert query_params["sign"][0]
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
def test_should_verify_valid_signature(self):
"""Test verification of valid signature"""
sign_key = "test-sign-key"
prefix = "test-prefix"
# Generate and verify signature
params = UrlSigner.get_signed_url_params(sign_key, prefix)
is_valid = UrlSigner.verify(
sign_key=sign_key, timestamp=params.timestamp, nonce=params.nonce, sign=params.sign, prefix=prefix
)
assert is_valid is True
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
@pytest.mark.parametrize(
("field", "modifier"),
[
("sign_key", lambda _: "wrong-sign-key"),
("timestamp", lambda t: str(int(t) + 1000)),
("nonce", lambda _: "different-nonce-123456789012345"),
("prefix", lambda _: "wrong-prefix"),
("sign", lambda s: s + "tampered"),
],
)
def test_should_reject_invalid_signature_params(self, field, modifier):
"""Test signature verification rejects invalid parameters"""
sign_key = "test-sign-key"
prefix = "test-prefix"
# Generate valid signed parameters
params = UrlSigner.get_signed_url_params(sign_key, prefix)
# Prepare verification parameters
verify_params = {
"sign_key": sign_key,
"timestamp": params.timestamp,
"nonce": params.nonce,
"sign": params.sign,
"prefix": prefix,
}
# Modify the specific field
verify_params[field] = modifier(verify_params[field])
# Verify should fail
is_valid = UrlSigner.verify(**verify_params)
assert is_valid is False
@patch("configs.dify_config.SECRET_KEY", None)
def test_should_raise_error_without_secret_key(self):
"""Test that signing fails when SECRET_KEY is not configured"""
with pytest.raises(Exception) as exc_info:
UrlSigner.get_signed_url_params("key", "prefix")
assert "SECRET_KEY is not set" in str(exc_info.value)
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
def test_should_generate_unique_signatures(self):
"""Test that different inputs produce different signatures"""
params1 = UrlSigner.get_signed_url_params("key1", "prefix1")
params2 = UrlSigner.get_signed_url_params("key2", "prefix2")
# Different inputs should produce different signatures
assert params1.sign != params2.sign
assert params1.nonce != params2.nonce
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
def test_should_handle_special_characters(self):
"""Test handling of special characters in parameters"""
special_cases = [
"test with spaces",
"test/with/slashes",
"test中文字符",
]
for sign_key in special_cases:
params = UrlSigner.get_signed_url_params(sign_key, "prefix")
# Should generate valid signature and verify correctly
is_valid = UrlSigner.verify(
sign_key=sign_key, timestamp=params.timestamp, nonce=params.nonce, sign=params.sign, prefix="prefix"
)
assert is_valid is True
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
def test_should_ensure_nonce_randomness(self):
"""Test that nonce is random for each generation - critical for security"""
sign_key = "test-sign-key"
prefix = "test-prefix"
# Generate multiple nonces
nonces = set()
for _ in range(5):
params = UrlSigner.get_signed_url_params(sign_key, prefix)
nonces.add(params.nonce)
# All nonces should be unique
assert len(nonces) == 5
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
@patch("time.time", return_value=1234567890)
@patch("os.urandom", return_value=b"\xab\xcd\xef\x12\x34\x56\x78\x90\xab\xcd\xef\x12\x34\x56\x78\x90")
def test_should_produce_consistent_signatures(self, mock_urandom, mock_time):
"""Test that same inputs produce same signature - ensures deterministic behavior"""
sign_key = "test-sign-key"
prefix = "test-prefix"
# Generate signature multiple times with same inputs (time and nonce are mocked)
params1 = UrlSigner.get_signed_url_params(sign_key, prefix)
params2 = UrlSigner.get_signed_url_params(sign_key, prefix)
# With mocked time and random, should produce identical results
assert params1.timestamp == params2.timestamp
assert params1.nonce == params2.nonce
assert params1.sign == params2.sign
# Verify the signature is valid
assert UrlSigner.verify(
sign_key=sign_key, timestamp=params1.timestamp, nonce=params1.nonce, sign=params1.sign, prefix=prefix
)
@patch("configs.dify_config.SECRET_KEY", "test-secret-key-12345")
def test_should_handle_empty_strings(self):
"""Test handling of empty string parameters - common edge case"""
# Empty sign_key and prefix should still work
params = UrlSigner.get_signed_url_params("", "")
assert params.sign is not None
# Should verify correctly
is_valid = UrlSigner.verify(
sign_key="", timestamp=params.timestamp, nonce=params.nonce, sign=params.sign, prefix=""
)
assert is_valid is True

177
api/uv.lock generated
View File

@ -99,28 +99,29 @@ wheels = [
[[package]]
name = "aiosignal"
version = "1.3.2"
version = "1.4.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "frozenlist" },
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/ba/b5/6d55e80f6d8a08ce22b982eafa278d823b541c925f11ee774b0b9c43473d/aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54", size = 19424, upload-time = "2024-12-13T17:10:40.86Z" }
sdist = { url = "https://files.pythonhosted.org/packages/61/62/06741b579156360248d1ec624842ad0edf697050bbaf7c3e46394e106ad1/aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7", size = 25007, upload-time = "2025-07-03T22:54:43.528Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/ec/6a/bc7e17a3e87a2985d3e8f4da4cd0f481060eb78fb08596c42be62c90a4d9/aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5", size = 7597, upload-time = "2024-12-13T17:10:38.469Z" },
{ url = "https://files.pythonhosted.org/packages/fb/76/641ae371508676492379f16e2fa48f4e2c11741bd63c48be4b12a6b09cba/aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e", size = 7490, upload-time = "2025-07-03T22:54:42.156Z" },
]
[[package]]
name = "alembic"
version = "1.16.2"
version = "1.16.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "mako" },
{ name = "sqlalchemy" },
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12
web/app/components/workflow/constants.ts
View File

@ -480,6 +480,10 @@ export const LLM_OUTPUT_STRUCT: Var[] = [
variable: 'text',
type: VarType.string,
},
{
variable: 'usage',
type: VarType.object,
},
]
export const KNOWLEDGE_RETRIEVAL_OUTPUT_STRUCT: Var[] = [
@ -501,6 +505,10 @@ export const QUESTION_CLASSIFIER_OUTPUT_STRUCT = [
variable: 'class_name',
type: VarType.string,
},
{
variable: 'usage',
type: VarType.object,
},
]
export const HTTP_REQUEST_OUTPUT_STRUCT: Var[] = [
@ -546,6 +554,10 @@ export const PARAMETER_EXTRACTOR_COMMON_STRUCT: Var[] = [
variable: '__reason',
type: VarType.string,
},
{
variable: '__usage',
type: VarType.object,
},
]
export const FILE_STRUCT: Var[] = [

5
web/app/components/workflow/nodes/llm/panel.tsx
View File

@ -282,6 +282,11 @@ const Panel: FC<NodePanelProps<LLMNodeType>> = ({
type='string'
description={t(`${i18nPrefix}.outputVars.output`)}
/>
<VarItem
name='usage'
type='object'
description={t(`${i18nPrefix}.outputVars.usage`)}
/>
{inputs.structured_output_enabled && (
<>
<Split className='mt-3' />

9
web/app/components/workflow/nodes/parameter-extractor/panel.tsx
View File

@ -190,12 +190,17 @@ const Panel: FC<NodePanelProps<ParameterExtractorNodeType>> = ({
<VarItem
name='__is_success'
type={VarType.number}
description={t(`${i18nPrefix}.isSuccess`)}
description={t(`${i18nPrefix}.outputVars.isSuccess`)}
/>
<VarItem
name='__reason'
type={VarType.string}
description={t(`${i18nPrefix}.errorReason`)}
description={t(`${i18nPrefix}.outputVars.errorReason`)}
/>
<VarItem
name='__usage'
type='object'
description={t(`${i18nPrefix}.outputVars.usage`)}
/>
</>
</OutputVars>

5
web/app/components/workflow/nodes/question-classifier/panel.tsx
View File

@ -129,6 +129,11 @@ const Panel: FC<NodePanelProps<QuestionClassifierNodeType>> = ({
type='string'
description={t(`${i18nPrefix}.outputVars.className`)}
/>
<VarItem
name='usage'
type='object'
description={t(`${i18nPrefix}.outputVars.usage`)}
/>
</>
</OutputVars>
</div>

8
web/i18n/de-DE/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'Eingabevariablen',
outputVars: {
className: 'Klassennamen',
usage: 'Nutzungsinformationen des Modells',
},
class: 'Klasse',
classNamePlaceholder: 'Geben Sie Ihren Klassennamen ein',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Eingabevariable',
outputVars: {
isSuccess: 'Ist Erfolg. Bei Erfolg beträgt der Wert 1, bei Misserfolg beträgt der Wert 0.',
errorReason: 'Fehlergrund',
usage: 'Nutzungsinformationen des Modells',
},
extractParameters: 'Parameter extrahieren',
importFromTool: 'Aus Tools importieren',
addExtractParameter: 'Extraktionsparameter hinzufügen',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'Erweiterte Einstellung',
reasoningMode: 'Schlussfolgerungsmodus',
reasoningModeTip: 'Sie können den entsprechenden Schlussfolgerungsmodus basierend auf der Fähigkeit des Modells wählen, auf Anweisungen zur Funktionsaufruf- oder Eingabeaufforderungen zu reagieren.',
isSuccess: 'Ist Erfolg. Bei Erfolg beträgt der Wert 1, bei Misserfolg beträgt der Wert 0.',
errorReason: 'Fehlergrund',
},
iteration: {
deleteTitle: 'Iterationsknoten löschen?',

8
web/i18n/en-US/workflow.ts
View File

@ -682,6 +682,7 @@ const translation = {
inputVars: 'Input Variables',
outputVars: {
className: 'Class Name',
usage: 'Model Usage Information',
},
class: 'Class',
classNamePlaceholder: 'Write your class name',
@ -695,6 +696,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Input Variable',
outputVars: {
isSuccess: 'Is Success.On success the value is 1, on failure the value is 0.',
errorReason: 'Error Reason',
usage: 'Model Usage Information',
},
extractParameters: 'Extract Parameters',
importFromTool: 'Import from tools',
addExtractParameter: 'Add Extract Parameter',
@ -714,8 +720,6 @@ const translation = {
advancedSetting: 'Advanced Setting',
reasoningMode: 'Reasoning Mode',
reasoningModeTip: 'You can choose the appropriate reasoning mode based on the model\'s ability to respond to instructions for function calling or prompts.',
isSuccess: 'Is Success.On success the value is 1, on failure the value is 0.',
errorReason: 'Error Reason',
},
iteration: {
deleteTitle: 'Delete Iteration Node?',

8
web/i18n/es-ES/workflow.ts
View File

@ -667,6 +667,7 @@ const translation = {
inputVars: 'Variables de entrada',
outputVars: {
className: 'Nombre de la clase',
usage: 'Información de uso del modelo',
},
class: 'Clase',
classNamePlaceholder: 'Escribe el nombre de tu clase',
@ -680,6 +681,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Variable de entrada',
outputVars: {
isSuccess: 'Es éxito. En caso de éxito el valor es 1, en caso de fallo el valor es 0.',
errorReason: 'Motivo del error',
usage: 'Información de uso del modelo',
},
extractParameters: 'Extraer parámetros',
importFromTool: 'Importar desde herramientas',
addExtractParameter: 'Agregar parámetro de extracción',
@ -699,8 +705,6 @@ const translation = {
advancedSetting: 'Configuración avanzada',
reasoningMode: 'Modo de razonamiento',
reasoningModeTip: 'Puede elegir el modo de razonamiento apropiado basado en la capacidad del modelo para responder a instrucciones para llamadas de funciones o indicaciones.',
isSuccess: 'Es éxito. En caso de éxito el valor es 1, en caso de fallo el valor es 0.',
errorReason: 'Motivo del error',
},
iteration: {
deleteTitle: '¿Eliminar nodo de iteración?',

8
web/i18n/fa-IR/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'متغیرهای ورودی',
outputVars: {
className: 'نام کلاس',
usage: 'اطلاعات استفاده از مدل',
},
class: 'کلاس',
classNamePlaceholder: 'نام کلاس خود را بنویسید',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'متغیر ورودی',
outputVars: {
isSuccess: 'موفقیت‌آمیز است. در صورت موفقیت مقدار 1 و در صورت شکست مقدار 0 است.',
errorReason: 'دلیل خطا',
usage: 'اطلاعات استفاده از مدل',
},
extractParameters: 'استخراج پارامترها',
importFromTool: 'وارد کردن از ابزارها',
addExtractParameter: 'افزودن پارامتر استخراج شده',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'تنظیمات پیشرفته',
reasoningMode: 'حالت استدلال',
reasoningModeTip: 'می‌توانید حالت استدلال مناسب را بر اساس توانایی مدل برای پاسخ به دستورات برای فراخوانی عملکردها یا پیشنهادات انتخاب کنید.',
isSuccess: 'موفقیت‌آمیز است. در صورت موفقیت مقدار 1 و در صورت شکست مقدار 0 است.',
errorReason: 'دلیل خطا',
},
iteration: {
deleteTitle: 'حذف نود تکرار؟',

8
web/i18n/fr-FR/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'Variables de saisie',
outputVars: {
className: 'Nom de la classe',
usage: 'Informations sur l\'utilisation du modèle',
},
class: 'Classe',
classNamePlaceholder: 'Écrivez le nom de votre classe',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Variable de saisie',
outputVars: {
isSuccess: 'Est réussi. En cas de succès, la valeur est 1, en cas d\'échec, la valeur est 0.',
errorReason: 'Raison de l\'erreur',
usage: 'Informations sur l\'utilisation du modèle',
},
extractParameters: 'Extraire des paramètres',
importFromTool: 'Importer des outils',
addExtractParameter: 'Ajouter un paramètre d\'extraction',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'Paramètre avancé',
reasoningMode: 'Mode de raisonnement',
reasoningModeTip: 'Vous pouvez choisir le mode de raisonnement approprié en fonction de la capacité du modèle à répondre aux instructions pour les appels de fonction ou les invites.',
isSuccess: 'Est réussi. En cas de succès, la valeur est 1, en cas d\'échec, la valeur est 0.',
errorReason: 'Raison de l\'erreur',
},
iteration: {
deleteTitle: 'Supprimer le nœud d\'itération?',

8
web/i18n/hi-IN/workflow.ts
View File

@ -685,6 +685,7 @@ const translation = {
inputVars: 'इनपुट वेरिएबल्स',
outputVars: {
className: 'क्लास नाम',
usage: 'मॉडल उपयोग जानकारी',
},
class: 'क्लास',
classNamePlaceholder: 'अपना क्लास नाम लिखें',
@ -699,6 +700,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'इनपुट वेरिएबल',
outputVars: {
isSuccess: 'सफलता है। सफलता पर मान 1 है, असफलता पर मान 0 है।',
errorReason: 'त्रुटि का कारण',
usage: 'मॉडल उपयोग जानकारी',
},
extractParameters: 'पैरामीटर्स निकालें',
importFromTool: 'उपकरणों से आयात करें',
addExtractParameter: 'एक्सट्रेक्ट पैरामीटर जोड़ें',
@ -721,8 +727,6 @@ const translation = {
reasoningMode: 'रीज़निंग मोड',
reasoningModeTip:
'फ़ंक्शन कॉलिंग या प्रॉम्प्ट्स के लिए निर्देशों का जवाब देने की मॉडल की क्षमता के आधार पर उपयुक्त रीज़निंग मोड चुन सकते हैं।',
isSuccess: 'सफलता है। सफलता पर मान 1 है, असफलता पर मान 0 है।',
errorReason: 'त्रुटि का कारण',
},
iteration: {
deleteTitle: 'इटरेशन नोड हटाएं?',

9
web/i18n/it-IT/workflow.ts
View File

@ -688,6 +688,7 @@ const translation = {
inputVars: 'Variabili di Input',
outputVars: {
className: 'Nome Classe',
usage: 'Informazioni sull\'utilizzo del modello',
},
class: 'Classe',
classNamePlaceholder: 'Scrivi il nome della tua classe',
@ -702,6 +703,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Variabile di Input',
outputVars: {
isSuccess: 'È successo. In caso di successo il valore è 1, in caso di fallimento il valore è 0.',
errorReason: 'Motivo dell\'errore',
usage: 'Informazioni sull\'utilizzo del modello',
},
extractParameters: 'Estrai Parametri',
importFromTool: 'Importa dagli strumenti',
addExtractParameter: 'Aggiungi Parametro Estratto',
@ -724,9 +730,6 @@ const translation = {
reasoningMode: 'Modalità di ragionamento',
reasoningModeTip:
'Puoi scegliere la modalità di ragionamento appropriata in base alla capacità del modello di rispondere alle istruzioni per la chiamata delle funzioni o i prompt.',
isSuccess:
'È successo. In caso di successo il valore è 1, in caso di fallimento il valore è 0.',
errorReason: 'Motivo dell\'errore',
},
iteration: {
deleteTitle: 'Eliminare Nodo Iterazione?',

8
web/i18n/ja-JP/workflow.ts
View File

@ -676,6 +676,7 @@ const translation = {
inputVars: '入力変数',
outputVars: {
className: 'クラス名',
usage: 'モデル使用量',
},
class: 'クラス',
classNamePlaceholder: 'クラス名を入力してください',
@ -689,6 +690,11 @@ const translation = {
},
parameterExtractor: {
inputVar: '入力変数',
outputVars: {
isSuccess: '成功。成功した場合の値は 1、失敗した場合の値は 0 です。',
errorReason: 'エラーの理由',
usage: 'モデル使用量',
},
extractParameters: 'パラメーターを抽出',
importFromTool: 'ツールからインポート',
addExtractParameter: '抽出パラメーターを追加',
@ -708,8 +714,6 @@ const translation = {
advancedSetting: '高度な設定',
reasoningMode: '推論モード',
reasoningModeTip: '関数呼び出しやプロンプトの指示に応答するモデルの能力に基づいて、適切な推論モードを選択できます。',
isSuccess: '成功。成功した場合の値は 1、失敗した場合の値は 0 です。',
errorReason: 'エラーの理由',
},
iteration: {
deleteTitle: 'イテレーションノードを削除しますか？',

6
web/i18n/ko-KR/workflow.ts
View File

@ -701,6 +701,7 @@ const translation = {
inputVars: '입력 변수',
outputVars: {
className: '클래스 이름',
usage: '모델 사용 정보',
},
class: '클래스',
classNamePlaceholder: '클래스 이름을 작성하세요',
@ -715,6 +716,11 @@ const translation = {
},
parameterExtractor: {
inputVar: '입력 변수',
outputVars: {
isSuccess: '성공 여부. 성공 시 값은 1 이고, 실패 시 값은 0 입니다.',
errorReason: '오류 원인',
usage: '모델 사용 정보',
},
extractParameters: '매개변수 추출',
importFromTool: '도구에서 가져오기',
addExtractParameter: '추출 매개변수 추가',

8
web/i18n/pl-PL/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'Zmienne wejściowe',
outputVars: {
className: 'Nazwa klasy',
usage: 'Informacje o użyciu modelu',
},
class: 'Klasa',
classNamePlaceholder: 'Napisz nazwę swojej klasy',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Zmienna wejściowa',
outputVars: {
isSuccess: 'Czy się udało. W przypadku sukcesu wartość wynosi 1, w przypadku niepowodzenia wartość wynosi 0.',
errorReason: 'Powód błędu',
usage: 'Informacje o użyciu modelu',
},
extractParameters: 'Wyodrębnij parametry',
importFromTool: 'Importuj z narzędzi',
addExtractParameter: 'Dodaj parametr wyodrębniania',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'Zaawansowane ustawienia',
reasoningMode: 'Tryb wnioskowania',
reasoningModeTip: 'Możesz wybrać odpowiedni tryb wnioskowania w zależności od zdolności modelu do reagowania na instrukcje dotyczące wywoływania funkcji lub zapytań.',
isSuccess: 'Czy się udało. W przypadku sukcesu wartość wynosi 1, w przypadku niepowodzenia wartość wynosi 0.',
errorReason: 'Powód błędu',
},
iteration: {
deleteTitle: 'Usunąć węzeł iteracji?',

8
web/i18n/pt-BR/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'Variáveis de entrada',
outputVars: {
className: 'Nome da classe',
usage: 'Informações de uso do modelo',
},
class: 'Classe',
classNamePlaceholder: 'Escreva o nome da sua classe',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Variável de entrada',
outputVars: {
isSuccess: 'É sucesso. Em caso de sucesso, o valor é 1, em caso de falha, o valor é 0.',
errorReason: 'Motivo do erro',
usage: 'Informações de uso do modelo',
},
extractParameters: 'Extrair parâmetros',
importFromTool: 'Importar das ferramentas',
addExtractParameter: 'Adicionar parâmetro de extração',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'Configuração avançada',
reasoningMode: 'Modo de raciocínio',
reasoningModeTip: 'Você pode escolher o modo de raciocínio apropriado com base na capacidade do modelo de responder a instruções para chamadas de função ou prompts.',
isSuccess: 'É sucesso. Em caso de sucesso, o valor é 1, em caso de falha, o valor é 0.',
errorReason: 'Motivo do erro',
},
iteration: {
deleteTitle: 'Excluir nó de iteração?',

8
web/i18n/ro-RO/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'Variabile de intrare',
outputVars: {
className: 'Nume clasă',
usage: 'Informații de utilizare a modelului',
},
class: 'Clasă',
classNamePlaceholder: 'Scrieți numele clasei',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Variabilă de intrare',
outputVars: {
isSuccess: 'Este succes. În caz de succes valoarea este 1, în caz de eșec valoarea este 0.',
errorReason: 'Motivul erorii',
usage: 'Informații de utilizare a modelului',
},
extractParameters: 'Extrageți parametrii',
importFromTool: 'Importă din instrumente',
addExtractParameter: 'Adăugați parametru de extragere',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'Setare avansată',
reasoningMode: 'Mod de raționament',
reasoningModeTip: 'Puteți alege modul de raționament potrivit în funcție de capacitatea modelului de a răspunde la instrucțiuni pentru apelarea funcțiilor sau prompturi.',
isSuccess: 'Este succes. În caz de succes valoarea este 1, în caz de eșec valoarea este 0.',
errorReason: 'Motivul erorii',
},
iteration: {
deleteTitle: 'Ștergeți nodul de iterație?',

8
web/i18n/ru-RU/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'Входные переменные',
outputVars: {
className: 'Имя класса',
usage: 'Информация об использовании модели',
},
class: 'Класс',
classNamePlaceholder: 'Введите имя вашего класса',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Входная переменная',
outputVars: {
isSuccess: 'Успешно. В случае успеха значение равно 1, в случае сбоя - 0.',
errorReason: 'Причина ошибки',
usage: 'Информация об использовании модели',
},
extractParameters: 'Извлечь параметры',
importFromTool: 'Импортировать из инструментов',
addExtractParameter: 'Добавить параметр для извлечения',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'Расширенные настройки',
reasoningMode: 'Режим рассуждения',
reasoningModeTip: 'Вы можете выбрать соответствующий режим рассуждения, основываясь на способности модели реагировать на инструкции для вызова функций или подсказки.',
isSuccess: 'Успешно. В случае успеха значение равно 1, в случае сбоя - 0.',
errorReason: 'Причина ошибки',
},
iteration: {
deleteTitle: 'Удалить узел итерации?',

8
web/i18n/sl-SI/workflow.ts
View File

@ -667,6 +667,7 @@ const translation = {
questionClassifiers: {
outputVars: {
className: 'Ime razreda',
usage: 'Informacije o uporabi modela',
},
instruction: 'Navodilo',
addClass: 'Dodaj razred',
@ -692,16 +693,19 @@ const translation = {
requiredContent: 'Zahtevano se uporablja le kot referenca za sklepanje modela in ne kot obvezno validacijo izhodnih parametrov.',
},
extractParameters: 'Izvleči parametre',
errorReason: 'Razlog za napako',
instruction: 'Navodilo',
instructionTip: 'Vnesite dodatna navodila, da pomagate izvleku parametrov razumeti, kako izvleči parametre.',
reasoningMode: 'Način razmišljanja',
isSuccess: 'Ali je uspeh. Na uspehu je vrednost 1, na neuspehu je vrednost 0.',
importFromTool: 'Uvoz iz orodij',
advancedSetting: 'Napredno nastavitev',
addExtractParameter: 'Dodaj parameter za ekstrakcijo',
extractParametersNotSet: 'Parameterji za ekstrakcijo niso nastavljeni',
inputVar: 'Vhodna spremenljivka',
outputVars: {
isSuccess: 'Ali je uspeh. Na uspehu je vrednost 1, na neuspehu je vrednost 0.',
errorReason: 'Razlog za napako',
usage: 'Informacije o uporabi modela',
},
reasoningModeTip: 'Lahko izberete ustrezen način razmišljanja glede na sposobnost modela, da se odzove na navodila za klic funkcij ali pozive.',
},
iteration: {

8
web/i18n/th-TH/workflow.ts
View File

@ -668,6 +668,7 @@ const translation = {
inputVars: 'ตัวแปรอินพุต',
outputVars: {
className: 'ชื่อคลาส',
usage: 'ข้อมูลการใช้งานรุ่น',
},
class: 'ประเภท',
classNamePlaceholder: 'เขียนชื่อชั้นเรียนของคุณ',
@ -681,6 +682,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'ตัวแปรอินพุต',
outputVars: {
isSuccess: 'คือ Success เมื่อสําเร็จค่าคือ 1 เมื่อล้มเหลวค่าเป็น 0',
errorReason: 'สาเหตุข้อผิดพลาด',
usage: 'ข้อมูลการใช้งานรุ่น',
},
extractParameters: 'แยกพารามิเตอร์',
importFromTool: 'นําเข้าจากเครื่องมือ',
addExtractParameter: 'เพิ่มพารามิเตอร์การแยกข้อมูล',
@ -700,8 +706,6 @@ const translation = {
advancedSetting: 'การตั้งค่าขั้นสูง',
reasoningMode: 'โหมดการให้เหตุผล',
reasoningModeTip: 'คุณสามารถเลือกโหมดการให้เหตุผลที่เหมาะสมตามความสามารถของโมเดลในการตอบสนองต่อคําแนะนําสําหรับการเรียกใช้ฟังก์ชันหรือข้อความแจ้ง',
isSuccess: 'คือ Success เมื่อสําเร็จค่าคือ 1 เมื่อล้มเหลวค่าเป็น 0',
errorReason: 'สาเหตุข้อผิดพลาด',
},
iteration: {
deleteTitle: 'ลบโหนดการทําซ้ํา?',

8
web/i18n/tr-TR/workflow.ts
View File

@ -670,6 +670,7 @@ const translation = {
inputVars: 'Giriş Değişkenleri',
outputVars: {
className: 'Sınıf Adı',
usage: 'Model Kullanım Bilgileri',
},
class: 'Sınıf',
classNamePlaceholder: 'Sınıf adınızı yazın',
@ -683,6 +684,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Giriş Değişkeni',
outputVars: {
isSuccess: 'Başarılı mı. Başarılı olduğunda değer 1, başarısız olduğunda değer 0\'dır.',
errorReason: 'Hata Nedeni',
usage: 'Model Kullanım Bilgileri',
},
extractParameters: 'Parametreleri Çıkar',
importFromTool: 'Araçlardan içe aktar',
addExtractParameter: 'Çıkarma Parametresi Ekle',
@ -702,8 +708,6 @@ const translation = {
advancedSetting: 'Gelişmiş Ayarlar',
reasoningMode: 'Akıl Yürütme Modu',
reasoningModeTip: 'Modelin fonksiyon çağırma veya istemler için talimatlara yanıt verme yeteneğine bağlı olarak uygun akıl yürütme modunu seçebilirsiniz.',
isSuccess: 'Başarılı mı. Başarılı olduğunda değer 1, başarısız olduğunda değer 0\'dır.',
errorReason: 'Hata Nedeni',
},
iteration: {
deleteTitle: 'Yineleme Düğümünü Sil?',

8
web/i18n/uk-UA/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'Вхідні змінні',
outputVars: {
className: 'Назва класу',
usage: 'Інформація про використання моделі',
},
class: 'Клас',
classNamePlaceholder: 'Напишіть назву вашого класу',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Вхідна змінна',
outputVars: {
isSuccess: 'Є успіх. У разі успіху значення 1, у разі невдачі значення 0.',
errorReason: 'Причина помилки',
usage: 'Інформація про використання моделі',
},
extractParameters: 'Витягти параметри',
importFromTool: 'Імпорт з інструментів',
addExtractParameter: 'Додати параметр витягування',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'Розширене налаштування',
reasoningMode: 'Режим інференції',
reasoningModeTip: 'Ви можете вибрати відповідний режим інференції залежно від здатності моделі реагувати на інструкції щодо викликів функцій або запитів.',
isSuccess: 'Є успіх. У разі успіху значення 1, у разі невдачі значення 0.',
errorReason: 'Причина помилки',
},
iteration: {
deleteTitle: 'Видалити вузол ітерації?',

8
web/i18n/vi-VN/workflow.ts
View File

@ -669,6 +669,7 @@ const translation = {
inputVars: 'Biến đầu vào',
outputVars: {
className: 'Tên lớp',
usage: 'Thông tin sử dụng mô hình',
},
class: 'Lớp',
classNamePlaceholder: 'Viết tên lớp của bạn',
@ -682,6 +683,11 @@ const translation = {
},
parameterExtractor: {
inputVar: 'Biến đầu vào',
outputVars: {
isSuccess: 'Thành công. Khi thành công giá trị là 1, khi thất bại giá trị là 0.',
errorReason: 'Lý do lỗi',
usage: 'Thông tin sử dụng mô hình',
},
extractParameters: 'Trích xuất tham số',
importFromTool: 'Nhập từ công cụ',
addExtractParameter: 'Thêm tham số trích xuất',
@ -701,8 +707,6 @@ const translation = {
advancedSetting: 'Cài đặt nâng cao',
reasoningMode: 'Chế độ suy luận',
reasoningModeTip: 'Bạn có thể chọn chế độ suy luận phù hợp dựa trên khả năng của mô hình để phản hồi các hướng dẫn về việc gọi hàm hoặc prompt.',
isSuccess: 'Thành công. Khi thành công giá trị là 1, khi thất bại giá trị là 0.',
errorReason: 'Lý do lỗi',
},
iteration: {
deleteTitle: 'Xóa nút lặp?',

8
web/i18n/zh-Hans/workflow.ts
View File

@ -683,6 +683,7 @@ const translation = {
inputVars: '输入变量',
outputVars: {
className: '分类名称',
usage: '模型用量信息',
},
class: '分类',
classNamePlaceholder: '输入你的分类名称',
@ -696,6 +697,11 @@ const translation = {
},
parameterExtractor: {
inputVar: '输入变量',
outputVars: {
isSuccess: '是否成功。成功时值为 1，失败时值为 0。',
errorReason: '错误原因',
usage: '模型用量信息',
},
extractParameters: '提取参数',
importFromTool: '从工具导入',
addExtractParameter: '添加提取参数',
@ -715,8 +721,6 @@ const translation = {
advancedSetting: '高级设置',
reasoningMode: '推理模式',
reasoningModeTip: '你可以根据模型对于 Function calling 或 Prompt 的指令响应能力选择合适的推理模式',
isSuccess: '是否成功。成功时值为 1，失败时值为 0。',
errorReason: '错误原因',
},
iteration: {
deleteTitle: '删除迭代节点？',

8
web/i18n/zh-Hant/workflow.ts
View File

@ -670,6 +670,7 @@ const translation = {
inputVars: '輸入變量',
outputVars: {
className: '分類名稱',
usage: '模型用量信息',
},
class: '分類',
classNamePlaceholder: '輸入你的分類名稱',
@ -683,6 +684,11 @@ const translation = {
},
parameterExtractor: {
inputVar: '輸入變量',
outputVars: {
isSuccess: '是否成功。成功時值為 1，失敗時值為 0。',
errorReason: '錯誤原因',
usage: '模型用量信息',
},
extractParameters: '提取參數',
importFromTool: '從工具導入',
addExtractParameter: '添加提取參數',
@ -702,8 +708,6 @@ const translation = {
advancedSetting: '高級設置',
reasoningMode: '推理模式',
reasoningModeTip: '你可以根據模型對於 Function calling 或 Prompt 的指令響應能力選擇合適的推理模式',
isSuccess: '是否成功。成功時值為 1，失敗時值為 0。',
errorReason: '錯誤原因',
},
iteration: {
deleteTitle: '刪除迭代節點？',