Files
Harry d75f734b7d feat: add checkbox parameter type to provider configuration
- Introduced a new CHECKBOX type in CommonParameterType to enhance parameter options.
- Updated ToolParameter and TriggerParameter classes to include the new CHECKBOX type.
- Modified the GitHub trigger manifest version to 1.1.0 and changed parameter type from select to checkbox in issues.yaml.

These changes improve the flexibility of parameter types available in the plugin, allowing for more diverse user interactions.
2025-09-29 14:29:38 +08:00

335 lines
11 KiB
Python

from collections.abc import Mapping
from enum import Enum, StrEnum
from typing import Any, Union
from pydantic import (
BaseModel,
Field,
field_validator,
model_validator,
)
from dify_plugin.core.documentation.schema_doc import docs
from dify_plugin.core.utils.yaml_loader import load_yaml_file
from dify_plugin.entities import I18nObject, ParameterOption
from dify_plugin.entities.invoke_message import InvokeMessage
from dify_plugin.entities.model.message import PromptMessageTool
from dify_plugin.entities.oauth import OAuthSchema
from dify_plugin.entities.provider_config import (
CommonParameterType,
CredentialType,
ProviderConfig,
)
from dify_plugin.entities.provider_config import (
LogMetadata as CommonLogMetadata,
)
# TODO: this is a temporary solution to avoid breaking changes from agent imports
# ImportError: cannot import name "LogMetadata" from "dify_plugin.entities.tool"
# which will be removed in 0.5.0
# ISSUE: https://github.com/langgenius/dify-plugin-sdks/issues/181
LogMetadata = CommonLogMetadata
class ToolRuntime(BaseModel):
credentials: dict[str, Any]
credential_type: CredentialType = CredentialType.API_KEY
user_id: str | None
session_id: str | None
class ToolInvokeMessage(InvokeMessage):
pass
@docs(
description="The identity of the tool",
)
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")
@docs(
description="The option of the tool parameter",
)
class ToolParameterOption(ParameterOption):
pass
@docs(
description="The auto generate of the parameter",
)
class ParameterAutoGenerate(BaseModel):
class Type(StrEnum):
PROMPT_INSTRUCTION = "prompt_instruction"
type: Type
@docs(
description="The template of the parameter",
)
class ParameterTemplate(BaseModel):
enabled: bool = Field(..., description="Whether the parameter is jinja enabled")
@docs(
description="The type of the parameter",
)
class ToolParameter(BaseModel):
class ToolParameterType(str, Enum):
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
FILES = CommonParameterType.FILES.value
MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value
APP_SELECTOR = CommonParameterType.APP_SELECTOR.value
CHECKBOX = CommonParameterType.CHECKBOX.value
# TOOL_SELECTOR = CommonParameterType.TOOL_SELECTOR.value
ANY = CommonParameterType.ANY.value
# MCP object and array type parameters
OBJECT = CommonParameterType.OBJECT.value
ARRAY = CommonParameterType.ARRAY.value
DYNAMIC_SELECT = CommonParameterType.DYNAMIC_SELECT.value
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")
human_description: I18nObject = Field(..., description="The description presented to the user")
type: ToolParameterType = Field(..., description="The type of the parameter")
auto_generate: ParameterAutoGenerate | None = Field(default=None, description="The auto generate of the parameter")
template: ParameterTemplate | None = Field(default=None, description="The template of the parameter")
scope: str | None = None
form: ToolParameterForm = Field(..., description="The form of the parameter, schema/form/llm")
llm_description: str | None = None
required: bool | None = False
default: Union[int, float, str] | None = None
min: Union[float, int] | None = None
max: Union[float, int] | None = None
precision: int | None = None
options: list[ToolParameterOption] | None = None
# MCP object and array type parameters use this field to store the schema
input_schema: Mapping[str, Any] | None = None
@docs(
description="The description of the tool",
)
class ToolDescription(BaseModel):
human: I18nObject = Field(..., description="The description presented to the user")
llm: str = Field(..., description="The description presented to the LLM")
@docs(
name="ToolExtra",
description="The extra of the tool",
)
class ToolConfigurationExtra(BaseModel):
class Python(BaseModel):
source: str
python: Python
@docs(
name="Tool",
description="The manifest of the tool",
)
class ToolConfiguration(BaseModel):
identity: ToolIdentity
parameters: list[ToolParameter] = Field(default=[], description="The parameters of the tool")
description: ToolDescription
extra: ToolConfigurationExtra
has_runtime_parameters: bool = Field(default=False, description="Whether the tool has runtime parameters")
output_schema: Mapping[str, Any] | None = None
@docs(
description="The label of the tool",
)
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"
RAG = "rag"
OTHER = "other"
@docs(
description="The identity of the tool provider",
)
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")
icon_dark: str | None = Field(None, description="The dark mode icon of the tool")
label: I18nObject = Field(..., description="The label of the tool")
tags: list[ToolLabelEnum] = Field(
default=[],
description="The tags of the tool",
)
@docs(
name="ToolProviderExtra",
description="The extra of the tool provider",
)
class ToolProviderConfigurationExtra(BaseModel):
class Python(BaseModel):
source: str
python: Python
@docs(
name="ToolProvider",
description="The Manifest of the tool provider",
outside_reference_fields={"tools": ToolConfiguration},
)
class ToolProviderConfiguration(BaseModel):
identity: ToolProviderIdentity
credentials_schema: list[ProviderConfig] = Field(
default_factory=list,
alias="credentials_for_provider",
description="The credentials schema of the tool provider",
)
oauth_schema: OAuthSchema | None = Field(
default=None,
description="The OAuth schema of the tool provider if OAuth is supported",
)
tools: list[ToolConfiguration] = Field(default=[], description="The tools of the tool provider")
extra: ToolProviderConfigurationExtra
@model_validator(mode="before")
@classmethod
def validate_credentials_schema(cls, data: dict) -> dict:
original_credentials_for_provider: dict[str, dict] = data.get("credentials_for_provider", {})
credentials_for_provider: list[dict[str, Any]] = []
for name, credential in original_credentials_for_provider.items():
credential["name"] = name
credentials_for_provider.append(credential)
data["credentials_for_provider"] = credentials_for_provider
return data
@field_validator("tools", mode="before")
@classmethod
def validate_tools(cls, value) -> list[ToolConfiguration]:
if not isinstance(value, list):
raise ValueError("tools should be a list")
tools: list[ToolConfiguration] = []
for tool in value:
# read from yaml
if not isinstance(tool, str):
raise ValueError("tool path should be a string")
try:
file = load_yaml_file(tool)
tools.append(
ToolConfiguration(
identity=ToolIdentity(**file["identity"]),
parameters=[ToolParameter(**param) for param in file.get("parameters", []) or []],
description=ToolDescription(**file["description"]),
extra=ToolConfigurationExtra(**file.get("extra", {})),
output_schema=file.get("output_schema", None),
)
)
except Exception as e:
raise ValueError(f"Error loading tool configuration: {e!s}") from e
return tools
class ToolProviderType(Enum):
"""
Enum class for tool provider
"""
BUILT_IN = "builtin"
WORKFLOW = "workflow"
API = "api"
APP = "app"
DATASET_RETRIEVAL = "dataset-retrieval"
MCP = "mcp"
@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 ToolSelector(BaseModel):
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: Union[int, float, str] | None = None
options: list[ToolParameterOption] | None = 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_prompt_message(self) -> PromptMessageTool:
"""
Convert tool selector to prompt message tool, based on openai function calling schema.
"""
tool = PromptMessageTool(
name=self.tool_name,
description=self.tool_description,
parameters={
"type": "object",
"properties": {},
"required": [],
},
)
for name, parameter in self.tool_parameters.items():
tool.parameters[name] = {
"type": parameter.type.value,
"description": parameter.description,
}
if parameter.required:
tool.parameters["required"].append(name)
if parameter.options:
tool.parameters[name]["enum"] = [option.value for option in parameter.options]
return tool