dify/api/core/tools/entities/tool_entities.py

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Python
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import base64
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import enum
from enum import Enum
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from typing import Any, Optional, Union
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from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_serializer, field_validator
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from core.entities.parameter_entities import (
AppSelectorScope,
CommonParameterType,
ModelSelectorScope,
ToolSelectorScope,
)
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from core.entities.provider_entities import ProviderConfig
from core.tools.entities.common_entities import I18nObject
class ToolLabelEnum(Enum):
SEARCH = "search"
IMAGE = "image"
VIDEOS = "videos"
WEATHER = "weather"
FINANCE = "finance"
DESIGN = "design"
TRAVEL = "travel"
SOCIAL = "social"
NEWS = "news"
MEDICAL = "medical"
PRODUCTIVITY = "productivity"
EDUCATION = "education"
BUSINESS = "business"
ENTERTAINMENT = "entertainment"
UTILITIES = "utilities"
OTHER = "other"
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class ToolProviderType(enum.StrEnum):
"""
Enum class for tool provider
"""
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PLUGIN = "plugin"
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BUILT_IN = "builtin"
WORKFLOW = "workflow"
API = "api"
APP = "app"
DATASET_RETRIEVAL = "dataset-retrieval"
@classmethod
def value_of(cls, value: str) -> "ToolProviderType":
"""
Get value of given mode.
:param value: mode value
:return: mode
"""
for mode in cls:
if mode.value == value:
return mode
raise ValueError(f"invalid mode value {value}")
class ApiProviderSchemaType(Enum):
"""
Enum class for api provider schema type.
"""
OPENAPI = "openapi"
SWAGGER = "swagger"
OPENAI_PLUGIN = "openai_plugin"
OPENAI_ACTIONS = "openai_actions"
@classmethod
def value_of(cls, value: str) -> "ApiProviderSchemaType":
"""
Get value of given mode.
:param value: mode value
:return: mode
"""
for mode in cls:
if mode.value == value:
return mode
raise ValueError(f"invalid mode value {value}")
class ApiProviderAuthType(Enum):
"""
Enum class for api provider auth type.
"""
NONE = "none"
API_KEY = "api_key"
@classmethod
def value_of(cls, value: str) -> "ApiProviderAuthType":
"""
Get value of given mode.
:param value: mode value
:return: mode
"""
for mode in cls:
if mode.value == value:
return mode
raise ValueError(f"invalid mode value {value}")
class ToolInvokeMessage(BaseModel):
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class TextMessage(BaseModel):
text: str
class JsonMessage(BaseModel):
json_object: dict
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class BlobMessage(BaseModel):
blob: bytes
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class FileMessage(BaseModel):
pass
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class VariableMessage(BaseModel):
variable_name: str = Field(..., description="The name of the variable")
variable_value: str = Field(..., description="The value of the variable")
stream: bool = Field(default=False, description="Whether the variable is streamed")
@field_validator("variable_value", mode="before")
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@classmethod
def transform_variable_value(cls, value, values) -> Any:
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"""
Only basic types and lists are allowed.
"""
if not isinstance(value, dict | list | str | int | float | bool):
raise ValueError("Only basic types and lists are allowed.")
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# if stream is true, the value must be a string
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if values.get("stream"):
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if not isinstance(value, str):
raise ValueError("When 'stream' is True, 'variable_value' must be a string.")
return value
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@field_validator("variable_name", mode="before")
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@classmethod
def transform_variable_name(cls, value) -> str:
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"""
The variable name must be a string.
"""
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if value in {"json", "text", "files"}:
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raise ValueError(f"The variable name '{value}' is reserved.")
return value
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class MessageType(Enum):
TEXT = "text"
IMAGE = "image"
LINK = "link"
BLOB = "blob"
JSON = "json"
IMAGE_LINK = "image_link"
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BINARY_LINK = "binary_link"
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VARIABLE = "variable"
FILE = "file"
type: MessageType = MessageType.TEXT
"""
plain text, image url or link url
"""
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message: JsonMessage | TextMessage | BlobMessage | VariableMessage | FileMessage | None
meta: dict[str, Any] | None = None
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@field_validator("message", mode="before")
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@classmethod
def decode_blob_message(cls, v):
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if isinstance(v, dict) and "blob" in v:
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try:
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v["blob"] = base64.b64decode(v["blob"])
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except Exception:
pass
return v
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@field_serializer("message")
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def serialize_message(self, v):
if isinstance(v, self.BlobMessage):
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return {"blob": base64.b64encode(v.blob).decode("utf-8")}
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return v
class ToolInvokeMessageBinary(BaseModel):
mimetype: str = Field(..., description="The mimetype of the binary")
url: str = Field(..., description="The url of the binary")
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file_var: Optional[dict[str, Any]] = None
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class ToolParameterOption(BaseModel):
value: str = Field(..., description="The value of the option")
label: I18nObject = Field(..., description="The label of the option")
@field_validator("value", mode="before")
@classmethod
def transform_id_to_str(cls, value) -> str:
if not isinstance(value, str):
return str(value)
else:
return value
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class ToolParameter(BaseModel):
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class ToolParameterType(enum.StrEnum):
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STRING = CommonParameterType.STRING.value
NUMBER = CommonParameterType.NUMBER.value
BOOLEAN = CommonParameterType.BOOLEAN.value
SELECT = CommonParameterType.SELECT.value
SECRET_INPUT = CommonParameterType.SECRET_INPUT.value
FILE = CommonParameterType.FILE.value
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FILES = CommonParameterType.FILES.value
APP_SELECTOR = CommonParameterType.APP_SELECTOR.value
TOOL_SELECTOR = CommonParameterType.TOOL_SELECTOR.value
MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value
# deprecated, should not use.
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SYSTEM_FILES = CommonParameterType.SYSTEM_FILES.value
def as_normal_type(self):
if self in {
ToolParameter.ToolParameterType.SECRET_INPUT,
ToolParameter.ToolParameterType.SELECT,
}:
return "string"
return self.value
def cast_value(self, value: Any, /):
try:
match self:
case (
ToolParameter.ToolParameterType.STRING
| ToolParameter.ToolParameterType.SECRET_INPUT
| ToolParameter.ToolParameterType.SELECT
):
if value is None:
return ""
else:
return value if isinstance(value, str) else str(value)
case ToolParameter.ToolParameterType.BOOLEAN:
if value is None:
return False
elif isinstance(value, str):
# Allowed YAML boolean value strings: https://yaml.org/type/bool.html
# and also '0' for False and '1' for True
match value.lower():
case "true" | "yes" | "y" | "1":
return True
case "false" | "no" | "n" | "0":
return False
case _:
return bool(value)
else:
return value if isinstance(value, bool) else bool(value)
case ToolParameter.ToolParameterType.NUMBER:
if isinstance(value, int | float):
return value
elif isinstance(value, str) and value:
if "." in value:
return float(value)
else:
return int(value)
case ToolParameter.ToolParameterType.SYSTEM_FILES | ToolParameter.ToolParameterType.FILES:
if not isinstance(value, list):
return [value]
return value
case ToolParameter.ToolParameterType.FILE:
if isinstance(value, list):
if len(value) != 1:
raise ValueError(
"This parameter only accepts one file but got multiple files while invoking."
)
else:
return value[0]
return value
case (
ToolParameter.ToolParameterType.TOOL_SELECTOR
| ToolParameter.ToolParameterType.MODEL_SELECTOR
| ToolParameter.ToolParameterType.APP_SELECTOR
):
if not isinstance(value, dict):
raise ValueError("The selector must be a dictionary.")
return value
case _:
return str(value)
except Exception:
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raise ValueError(f"The tool parameter value {value} is not in correct type of {self.as_normal_type()}.")
class ToolParameterForm(Enum):
SCHEMA = "schema" # should be set while adding tool
FORM = "form" # should be set before invoking tool
LLM = "llm" # will be set by LLM
name: str = Field(..., description="The name of the parameter")
label: I18nObject = Field(..., description="The label presented to the user")
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human_description: Optional[I18nObject] = Field(default=None, description="The description presented to the user")
placeholder: Optional[I18nObject] = Field(default=None, description="The placeholder presented to the user")
type: ToolParameterType = Field(..., description="The type of the parameter")
scope: AppSelectorScope | ModelSelectorScope | ToolSelectorScope | None = None
form: ToolParameterForm = Field(..., description="The form of the parameter, schema/form/llm")
llm_description: Optional[str] = None
required: Optional[bool] = False
default: Optional[Union[float, int, str]] = None
min: Optional[Union[float, int]] = None
max: Optional[Union[float, int]] = None
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options: list[ToolParameterOption] = Field(default_factory=list)
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@field_validator("options", mode="before")
@classmethod
def transform_options(cls, v):
if not isinstance(v, list):
return []
return v
@classmethod
def get_simple_instance(
cls,
name: str,
llm_description: str,
type: ToolParameterType,
required: bool,
options: Optional[list[str]] = None,
) -> "ToolParameter":
"""
get a simple tool parameter
:param name: the name of the parameter
:param llm_description: the description presented to the LLM
:param type: the type of the parameter
:param required: if the parameter is required
:param options: the options of the parameter
"""
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# convert options to ToolParameterOption
if options:
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option_objs = [
ToolParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option)) for option in options
]
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else:
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option_objs = []
return cls(
name=name,
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label=I18nObject(en_US="", zh_Hans=""),
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placeholder=None,
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human_description=I18nObject(en_US="", zh_Hans=""),
type=type,
form=cls.ToolParameterForm.LLM,
llm_description=llm_description,
required=required,
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options=option_objs,
)
class ToolProviderIdentity(BaseModel):
author: str = Field(..., description="The author of the tool")
name: str = Field(..., description="The name of the tool")
description: I18nObject = Field(..., description="The description of the tool")
icon: str = Field(..., description="The icon of the tool")
label: I18nObject = Field(..., description="The label of the tool")
tags: Optional[list[ToolLabelEnum]] = Field(
default=[],
description="The tags of the tool",
)
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class ToolIdentity(BaseModel):
author: str = Field(..., description="The author of the tool")
name: str = Field(..., description="The name of the tool")
label: I18nObject = Field(..., description="The label of the tool")
provider: str = Field(..., description="The provider of the tool")
icon: Optional[str] = None
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class ToolDescription(BaseModel):
human: I18nObject = Field(..., description="The description presented to the user")
llm: str = Field(..., description="The description presented to the LLM")
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class ToolEntity(BaseModel):
identity: ToolIdentity
parameters: list[ToolParameter] = Field(default_factory=list)
description: Optional[ToolDescription] = None
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output_schema: Optional[dict] = None
has_runtime_parameters: bool = Field(default=False, description="Whether the tool has runtime parameters")
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# pydantic configs
model_config = ConfigDict(protected_namespaces=())
@field_validator("parameters", mode="before")
@classmethod
def set_parameters(cls, v, validation_info: ValidationInfo) -> list[ToolParameter]:
return v or []
class ToolProviderEntity(BaseModel):
identity: ToolProviderIdentity
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plugin_id: Optional[str] = Field(None, description="The id of the plugin")
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credentials_schema: list[ProviderConfig] = Field(default_factory=list)
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class ToolProviderEntityWithPlugin(ToolProviderEntity):
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tools: list[ToolEntity] = Field(default_factory=list)
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class WorkflowToolParameterConfiguration(BaseModel):
"""
Workflow tool configuration
"""
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name: str = Field(..., description="The name of the parameter")
description: str = Field(..., description="The description of the parameter")
form: ToolParameter.ToolParameterForm = Field(..., description="The form of the parameter")
class ToolInvokeMeta(BaseModel):
"""
Tool invoke meta
"""
time_cost: float = Field(..., description="The time cost of the tool invoke")
error: Optional[str] = None
tool_config: Optional[dict] = None
@classmethod
def empty(cls) -> "ToolInvokeMeta":
"""
Get an empty instance of ToolInvokeMeta
"""
return cls(time_cost=0.0, error=None, tool_config={})
@classmethod
def error_instance(cls, error: str) -> "ToolInvokeMeta":
"""
Get an instance of ToolInvokeMeta with error
"""
return cls(time_cost=0.0, error=error, tool_config={})
def to_dict(self) -> dict:
return {
"time_cost": self.time_cost,
"error": self.error,
"tool_config": self.tool_config,
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}
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class ToolLabel(BaseModel):
"""
Tool label
"""
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name: str = Field(..., description="The name of the tool")
label: I18nObject = Field(..., description="The label of the tool")
icon: str = Field(..., description="The icon of the tool")
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class ToolInvokeFrom(Enum):
"""
Enum class for tool invoke
"""
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WORKFLOW = "workflow"
AGENT = "agent"
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PLUGIN = "plugin"