Introduce Plugins (#13836)
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Chen <52963600+GareArc@users.noreply.github.com>
This commit is contained in:
@@ -1,9 +1,22 @@
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from enum import Enum, StrEnum
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from typing import Any, Optional, Union, cast
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import base64
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import enum
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from collections.abc import Mapping
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from enum import Enum
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from typing import Any, Optional, Union
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from pydantic import BaseModel, Field, field_validator
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from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_serializer, field_validator, model_validator
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from core.entities.provider_entities import ProviderConfig
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from core.plugin.entities.parameters import (
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PluginParameter,
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PluginParameterOption,
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PluginParameterType,
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as_normal_type,
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cast_parameter_value,
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init_frontend_parameter,
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)
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from core.tools.entities.common_entities import I18nObject
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from core.tools.entities.constants import TOOL_SELECTOR_MODEL_IDENTITY
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class ToolLabelEnum(Enum):
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@@ -25,11 +38,12 @@ class ToolLabelEnum(Enum):
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OTHER = "other"
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class ToolProviderType(Enum):
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class ToolProviderType(enum.StrEnum):
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"""
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Enum class for tool provider
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"""
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PLUGIN = "plugin"
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BUILT_IN = "builtin"
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WORKFLOW = "workflow"
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API = "api"
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@@ -97,6 +111,64 @@ class ApiProviderAuthType(Enum):
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class ToolInvokeMessage(BaseModel):
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class TextMessage(BaseModel):
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text: str
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class JsonMessage(BaseModel):
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json_object: dict
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class BlobMessage(BaseModel):
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blob: bytes
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class FileMessage(BaseModel):
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pass
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class VariableMessage(BaseModel):
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variable_name: str = Field(..., description="The name of the variable")
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variable_value: Any = Field(..., description="The value of the variable")
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stream: bool = Field(default=False, description="Whether the variable is streamed")
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@model_validator(mode="before")
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@classmethod
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def transform_variable_value(cls, values) -> Any:
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"""
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Only basic types and lists are allowed.
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"""
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value = values.get("variable_value")
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if not isinstance(value, dict | list | str | int | float | bool):
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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):
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raise ValueError("When 'stream' is True, 'variable_value' must be a string.")
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return values
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@field_validator("variable_name", mode="before")
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@classmethod
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def transform_variable_name(cls, value: str) -> str:
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"""
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The variable name must be a string.
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"""
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if value in {"json", "text", "files"}:
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raise ValueError(f"The variable name '{value}' is reserved.")
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return value
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class LogMessage(BaseModel):
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class LogStatus(Enum):
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START = "start"
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ERROR = "error"
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SUCCESS = "success"
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id: str
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label: str = Field(..., description="The label of the log")
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parent_id: Optional[str] = Field(default=None, description="Leave empty for root log")
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error: Optional[str] = Field(default=None, description="The error message")
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status: LogStatus = Field(..., description="The status of the log")
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data: Mapping[str, Any] = Field(..., description="Detailed log data")
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metadata: Optional[Mapping[str, Any]] = Field(default=None, description="The metadata of the log")
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class MessageType(Enum):
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TEXT = "text"
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IMAGE = "image"
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@@ -104,132 +176,86 @@ class ToolInvokeMessage(BaseModel):
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BLOB = "blob"
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JSON = "json"
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IMAGE_LINK = "image_link"
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BINARY_LINK = "binary_link"
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VARIABLE = "variable"
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FILE = "file"
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LOG = "log"
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type: MessageType = MessageType.TEXT
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"""
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plain text, image url or link url
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"""
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message: str | bytes | dict | None = None
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# TODO: Use a BaseModel for meta
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meta: dict[str, Any] = Field(default_factory=dict)
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save_as: str = ""
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message: JsonMessage | TextMessage | BlobMessage | VariableMessage | FileMessage | LogMessage | None
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meta: dict[str, Any] | None = None
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@field_validator("message", mode="before")
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@classmethod
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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:
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pass
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return v
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@field_serializer("message")
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def serialize_message(self, v):
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if isinstance(v, self.BlobMessage):
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return {"blob": base64.b64encode(v.blob).decode("utf-8")}
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return v
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class ToolInvokeMessageBinary(BaseModel):
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mimetype: str = Field(..., description="The mimetype of the binary")
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url: str = Field(..., description="The url of the binary")
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save_as: str = ""
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file_var: Optional[dict[str, Any]] = None
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class ToolParameterOption(BaseModel):
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value: str = Field(..., description="The value of the option")
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label: I18nObject = Field(..., description="The label of the option")
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class ToolParameter(PluginParameter):
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"""
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Overrides type
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"""
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@field_validator("value", mode="before")
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@classmethod
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def transform_id_to_str(cls, value) -> str:
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if not isinstance(value, str):
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return str(value)
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else:
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return value
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class ToolParameterType(enum.StrEnum):
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"""
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removes TOOLS_SELECTOR from PluginParameterType
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"""
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class ToolParameter(BaseModel):
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class ToolParameterType(StrEnum):
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STRING = "string"
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NUMBER = "number"
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BOOLEAN = "boolean"
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SELECT = "select"
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SECRET_INPUT = "secret-input"
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FILE = "file"
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FILES = "files"
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STRING = PluginParameterType.STRING.value
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NUMBER = PluginParameterType.NUMBER.value
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BOOLEAN = PluginParameterType.BOOLEAN.value
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SELECT = PluginParameterType.SELECT.value
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SECRET_INPUT = PluginParameterType.SECRET_INPUT.value
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FILE = PluginParameterType.FILE.value
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FILES = PluginParameterType.FILES.value
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APP_SELECTOR = PluginParameterType.APP_SELECTOR.value
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MODEL_SELECTOR = PluginParameterType.MODEL_SELECTOR.value
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# deprecated, should not use.
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SYSTEM_FILES = "systme-files"
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SYSTEM_FILES = PluginParameterType.SYSTEM_FILES.value
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def as_normal_type(self):
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if self in {
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ToolParameter.ToolParameterType.SECRET_INPUT,
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ToolParameter.ToolParameterType.SELECT,
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}:
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return "string"
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return self.value
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return as_normal_type(self)
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def cast_value(self, value: Any, /):
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try:
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match self:
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case (
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ToolParameter.ToolParameterType.STRING
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| ToolParameter.ToolParameterType.SECRET_INPUT
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| ToolParameter.ToolParameterType.SELECT
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):
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if value is None:
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return ""
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else:
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return value if isinstance(value, str) else str(value)
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case ToolParameter.ToolParameterType.BOOLEAN:
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if value is None:
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return False
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elif isinstance(value, str):
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# Allowed YAML boolean value strings: https://yaml.org/type/bool.html
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# and also '0' for False and '1' for True
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match value.lower():
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case "true" | "yes" | "y" | "1":
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return True
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case "false" | "no" | "n" | "0":
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return False
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case _:
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return bool(value)
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else:
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return value if isinstance(value, bool) else bool(value)
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case ToolParameter.ToolParameterType.NUMBER:
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if isinstance(value, int | float):
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return value
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elif isinstance(value, str) and value:
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if "." in value:
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return float(value)
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else:
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return int(value)
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case (
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ToolParameter.ToolParameterType.SYSTEM_FILES
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| ToolParameter.ToolParameterType.FILE
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| ToolParameter.ToolParameterType.FILES
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):
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return value
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case _:
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return str(value)
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except Exception:
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raise ValueError(f"The tool parameter value {value} is not in correct type.")
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def cast_value(self, value: Any):
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return cast_parameter_value(self, value)
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class ToolParameterForm(Enum):
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SCHEMA = "schema" # should be set while adding tool
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FORM = "form" # should be set before invoking tool
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LLM = "llm" # will be set by LLM
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name: str = Field(..., description="The name of the parameter")
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label: I18nObject = Field(..., description="The label presented to the user")
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human_description: Optional[I18nObject] = Field(None, description="The description presented to the user")
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placeholder: Optional[I18nObject] = Field(None, description="The placeholder presented to the user")
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type: ToolParameterType = Field(..., description="The type of the parameter")
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human_description: Optional[I18nObject] = Field(default=None, description="The description presented to the user")
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form: ToolParameterForm = Field(..., description="The form of the parameter, schema/form/llm")
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llm_description: Optional[str] = None
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required: Optional[bool] = False
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default: Optional[Union[float, int, str]] = None
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min: Optional[Union[float, int]] = None
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max: Optional[Union[float, int]] = None
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options: Optional[list[ToolParameterOption]] = None
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@classmethod
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def get_simple_instance(
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cls,
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name: str,
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llm_description: str,
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type: ToolParameterType,
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typ: ToolParameterType,
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required: bool,
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options: Optional[list[str]] = None,
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) -> "ToolParameter":
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@@ -245,22 +271,28 @@ class ToolParameter(BaseModel):
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# convert options to ToolParameterOption
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# FIXME fix the type error
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if options:
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options = [
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ToolParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option)) # type: ignore
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for option in options # type: ignore
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option_objs = [
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PluginParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option))
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for option in options
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]
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else:
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option_objs = []
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return cls(
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name=name,
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label=I18nObject(en_US="", zh_Hans=""),
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human_description=I18nObject(en_US="", zh_Hans=""),
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placeholder=None,
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type=type,
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human_description=I18nObject(en_US="", zh_Hans=""),
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type=typ,
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form=cls.ToolParameterForm.LLM,
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llm_description=llm_description,
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required=required,
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options=options, # type: ignore
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options=option_objs,
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)
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def init_frontend_parameter(self, value: Any):
|
||||
return init_frontend_parameter(self, self.type, value)
|
||||
|
||||
|
||||
class ToolProviderIdentity(BaseModel):
|
||||
author: str = Field(..., description="The author of the tool")
|
||||
@@ -274,11 +306,6 @@ class ToolProviderIdentity(BaseModel):
|
||||
)
|
||||
|
||||
|
||||
class ToolDescription(BaseModel):
|
||||
human: I18nObject = Field(..., description="The description presented to the user")
|
||||
llm: str = Field(..., description="The description presented to the LLM")
|
||||
|
||||
|
||||
class ToolIdentity(BaseModel):
|
||||
author: str = Field(..., description="The author of the tool")
|
||||
name: str = Field(..., description="The name of the tool")
|
||||
@@ -287,185 +314,35 @@ class ToolIdentity(BaseModel):
|
||||
icon: Optional[str] = None
|
||||
|
||||
|
||||
class ToolCredentialsOption(BaseModel):
|
||||
value: str = Field(..., description="The value of the option")
|
||||
label: I18nObject = Field(..., description="The label of the option")
|
||||
class ToolDescription(BaseModel):
|
||||
human: I18nObject = Field(..., description="The description presented to the user")
|
||||
llm: str = Field(..., description="The description presented to the LLM")
|
||||
|
||||
|
||||
class ToolProviderCredentials(BaseModel):
|
||||
class CredentialsType(Enum):
|
||||
SECRET_INPUT = "secret-input"
|
||||
TEXT_INPUT = "text-input"
|
||||
SELECT = "select"
|
||||
BOOLEAN = "boolean"
|
||||
class ToolEntity(BaseModel):
|
||||
identity: ToolIdentity
|
||||
parameters: list[ToolParameter] = Field(default_factory=list)
|
||||
description: Optional[ToolDescription] = None
|
||||
output_schema: Optional[dict] = None
|
||||
has_runtime_parameters: bool = Field(default=False, description="Whether the tool has runtime parameters")
|
||||
|
||||
@classmethod
|
||||
def value_of(cls, value: str) -> "ToolProviderCredentials.CredentialsType":
|
||||
"""
|
||||
Get value of given mode.
|
||||
# pydantic configs
|
||||
model_config = ConfigDict(protected_namespaces=())
|
||||
|
||||
:param value: mode value
|
||||
:return: mode
|
||||
"""
|
||||
for mode in cls:
|
||||
if mode.value == value:
|
||||
return mode
|
||||
raise ValueError(f"invalid mode value {value}")
|
||||
|
||||
@staticmethod
|
||||
def default(value: str) -> str:
|
||||
return ""
|
||||
|
||||
name: str = Field(..., description="The name of the credentials")
|
||||
type: CredentialsType = Field(..., description="The type of the credentials")
|
||||
required: bool = False
|
||||
default: Optional[Union[int, str]] = None
|
||||
options: Optional[list[ToolCredentialsOption]] = None
|
||||
label: Optional[I18nObject] = None
|
||||
help: Optional[I18nObject] = None
|
||||
url: Optional[str] = None
|
||||
placeholder: Optional[I18nObject] = None
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
return {
|
||||
"name": self.name,
|
||||
"type": self.type.value,
|
||||
"required": self.required,
|
||||
"default": self.default,
|
||||
"options": self.options,
|
||||
"help": self.help.to_dict() if self.help else None,
|
||||
"label": self.label.to_dict() if self.label else None,
|
||||
"url": self.url,
|
||||
"placeholder": self.placeholder.to_dict() if self.placeholder else None,
|
||||
}
|
||||
@field_validator("parameters", mode="before")
|
||||
@classmethod
|
||||
def set_parameters(cls, v, validation_info: ValidationInfo) -> list[ToolParameter]:
|
||||
return v or []
|
||||
|
||||
|
||||
class ToolRuntimeVariableType(Enum):
|
||||
TEXT = "text"
|
||||
IMAGE = "image"
|
||||
class ToolProviderEntity(BaseModel):
|
||||
identity: ToolProviderIdentity
|
||||
plugin_id: Optional[str] = None
|
||||
credentials_schema: list[ProviderConfig] = Field(default_factory=list)
|
||||
|
||||
|
||||
class ToolRuntimeVariable(BaseModel):
|
||||
type: ToolRuntimeVariableType = Field(..., description="The type of the variable")
|
||||
name: str = Field(..., description="The name of the variable")
|
||||
position: int = Field(..., description="The position of the variable")
|
||||
tool_name: str = Field(..., description="The name of the tool")
|
||||
|
||||
|
||||
class ToolRuntimeTextVariable(ToolRuntimeVariable):
|
||||
value: str = Field(..., description="The value of the variable")
|
||||
|
||||
|
||||
class ToolRuntimeImageVariable(ToolRuntimeVariable):
|
||||
value: str = Field(..., description="The path of the image")
|
||||
|
||||
|
||||
class ToolRuntimeVariablePool(BaseModel):
|
||||
conversation_id: str = Field(..., description="The conversation id")
|
||||
user_id: str = Field(..., description="The user id")
|
||||
tenant_id: str = Field(..., description="The tenant id of assistant")
|
||||
|
||||
pool: list[ToolRuntimeVariable] = Field(..., description="The pool of variables")
|
||||
|
||||
def __init__(self, **data: Any):
|
||||
pool = data.get("pool", [])
|
||||
# convert pool into correct type
|
||||
for index, variable in enumerate(pool):
|
||||
if variable["type"] == ToolRuntimeVariableType.TEXT.value:
|
||||
pool[index] = ToolRuntimeTextVariable(**variable)
|
||||
elif variable["type"] == ToolRuntimeVariableType.IMAGE.value:
|
||||
pool[index] = ToolRuntimeImageVariable(**variable)
|
||||
super().__init__(**data)
|
||||
|
||||
def dict(self) -> dict: # type: ignore
|
||||
"""
|
||||
FIXME: just ignore the type check for now
|
||||
"""
|
||||
return {
|
||||
"conversation_id": self.conversation_id,
|
||||
"user_id": self.user_id,
|
||||
"tenant_id": self.tenant_id,
|
||||
"pool": [variable.model_dump() for variable in self.pool],
|
||||
}
|
||||
|
||||
def set_text(self, tool_name: str, name: str, value: str) -> None:
|
||||
"""
|
||||
set a text variable
|
||||
"""
|
||||
for variable in self.pool:
|
||||
if variable.name == name:
|
||||
if variable.type == ToolRuntimeVariableType.TEXT:
|
||||
variable = cast(ToolRuntimeTextVariable, variable)
|
||||
variable.value = value
|
||||
return
|
||||
|
||||
variable = ToolRuntimeTextVariable(
|
||||
type=ToolRuntimeVariableType.TEXT,
|
||||
name=name,
|
||||
position=len(self.pool),
|
||||
tool_name=tool_name,
|
||||
value=value,
|
||||
)
|
||||
|
||||
self.pool.append(variable)
|
||||
|
||||
def set_file(self, tool_name: str, value: str, name: Optional[str] = None) -> None:
|
||||
"""
|
||||
set an image variable
|
||||
|
||||
:param tool_name: the name of the tool
|
||||
:param value: the id of the file
|
||||
"""
|
||||
# check how many image variables are there
|
||||
image_variable_count = 0
|
||||
for variable in self.pool:
|
||||
if variable.type == ToolRuntimeVariableType.IMAGE:
|
||||
image_variable_count += 1
|
||||
|
||||
if name is None:
|
||||
name = f"file_{image_variable_count}"
|
||||
|
||||
for variable in self.pool:
|
||||
if variable.name == name:
|
||||
if variable.type == ToolRuntimeVariableType.IMAGE:
|
||||
variable = cast(ToolRuntimeImageVariable, variable)
|
||||
variable.value = value
|
||||
return
|
||||
|
||||
variable = ToolRuntimeImageVariable(
|
||||
type=ToolRuntimeVariableType.IMAGE,
|
||||
name=name,
|
||||
position=len(self.pool),
|
||||
tool_name=tool_name,
|
||||
value=value,
|
||||
)
|
||||
|
||||
self.pool.append(variable)
|
||||
|
||||
|
||||
class ModelToolPropertyKey(Enum):
|
||||
IMAGE_PARAMETER_NAME = "image_parameter_name"
|
||||
|
||||
|
||||
class ModelToolConfiguration(BaseModel):
|
||||
"""
|
||||
Model tool configuration
|
||||
"""
|
||||
|
||||
type: str = Field(..., description="The type of the model tool")
|
||||
model: str = Field(..., description="The model")
|
||||
label: I18nObject = Field(..., description="The label of the model tool")
|
||||
properties: dict[ModelToolPropertyKey, Any] = Field(..., description="The properties of the model tool")
|
||||
|
||||
|
||||
class ModelToolProviderConfiguration(BaseModel):
|
||||
"""
|
||||
Model tool provider configuration
|
||||
"""
|
||||
|
||||
provider: str = Field(..., description="The provider of the model tool")
|
||||
models: list[ModelToolConfiguration] = Field(..., description="The models of the model tool")
|
||||
label: I18nObject = Field(..., description="The label of the model tool")
|
||||
class ToolProviderEntityWithPlugin(ToolProviderEntity):
|
||||
tools: list[ToolEntity] = Field(default_factory=list)
|
||||
|
||||
|
||||
class WorkflowToolParameterConfiguration(BaseModel):
|
||||
@@ -526,3 +403,25 @@ class ToolInvokeFrom(Enum):
|
||||
|
||||
WORKFLOW = "workflow"
|
||||
AGENT = "agent"
|
||||
PLUGIN = "plugin"
|
||||
|
||||
|
||||
class ToolSelector(BaseModel):
|
||||
dify_model_identity: str = TOOL_SELECTOR_MODEL_IDENTITY
|
||||
|
||||
class Parameter(BaseModel):
|
||||
name: str = Field(..., description="The name of the parameter")
|
||||
type: ToolParameter.ToolParameterType = Field(..., description="The type of the parameter")
|
||||
required: bool = Field(..., description="Whether the parameter is required")
|
||||
description: str = Field(..., description="The description of the parameter")
|
||||
default: Optional[Union[int, float, str]] = None
|
||||
options: Optional[list[PluginParameterOption]] = None
|
||||
|
||||
provider_id: str = Field(..., description="The id of the provider")
|
||||
tool_name: str = Field(..., description="The name of the tool")
|
||||
tool_description: str = Field(..., description="The description of the tool")
|
||||
tool_configuration: Mapping[str, Any] = Field(..., description="Configuration, type form")
|
||||
tool_parameters: Mapping[str, Parameter] = Field(..., description="Parameters, type llm")
|
||||
|
||||
def to_plugin_parameter(self) -> dict[str, Any]:
|
||||
return self.model_dump()
|
||||
|
Reference in New Issue
Block a user