"""Agent runner descriptor.""" from __future__ import annotations import typing import pydantic class AgentRunnerDescriptor(pydantic.BaseModel): """Descriptor for an agent runner. Represents the discovered metadata for a runner, including its identity, capabilities, permissions, and configuration schema. """ id: str """Unique runner ID: plugin:author/plugin_name/runner_name""" source: typing.Literal['plugin'] """Runner source type""" label: dict[str, str] """Display labels keyed by locale (e.g., en_US, zh_Hans)""" description: dict[str, str] | None = None """Optional description keyed by locale""" plugin_author: str """Plugin author from manifest""" plugin_name: str """Plugin name from manifest""" runner_name: str """AgentRunner component name from manifest""" plugin_version: str | None = None """Optional plugin version""" protocol_version: str = '1' """SDK protocol version, default '1'""" config_schema: list[dict[str, typing.Any]] = [] """Configuration schema using DynamicForm format""" capabilities: dict[str, bool] = {} """Runner capabilities: streaming, tool_calling, knowledge_retrieval, etc.""" permissions: dict[str, list[str]] = {} """Requested permissions: models, tools, knowledge_bases, storage, files, platform_api""" raw_manifest: dict[str, typing.Any] = {} """Original manifest for reference""" model_config = pydantic.ConfigDict( extra='allow', ) def get_plugin_id(self) -> str: """Return plugin identifier as author/name.""" return f'{self.plugin_author}/{self.plugin_name}' def supports_streaming(self) -> bool: """Check if runner supports streaming output.""" return self.capabilities.get('streaming', False) def supports_tool_calling(self) -> bool: """Check if runner supports tool calling.""" return self.capabilities.get('tool_calling', False) def supports_knowledge_retrieval(self) -> bool: """Check if runner supports knowledge retrieval.""" return self.capabilities.get('knowledge_retrieval', False)