Files
LangBot/src/langbot/pkg/agent/runner/descriptor.py
huanghuoguoguo 3812bd97eb feat(agent-runner): integrate AgentRunner Protocol v1 with plugin system
Phase 0 integration complete - verified minimal loop with local-agent stub runner.

Changes:
- Add AgentRunOrchestrator for plugin-based agent execution
- Add AgentResultNormalizer for Protocol v1 result conversion
- Add AgentRunnerDescriptor for runner ID parsing (plugin:author/name/runner)
- Update chat handler to use new orchestrator instead of direct runner lookup
- Add plugin handler methods for list_agent_runners and run_agent
- Add connector methods for AgentRunner protocol forwarding
- Update pipeline API to include runner options in metadata
- Add integration docs and implementation plan

Integration verified:
- Runner: plugin:langbot/local-agent/default
- Input: "你好"
- Output: [stub] Echo: 你好
- Date: 2026-05-10 10:09

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-04 11:11:39 +08:00

72 lines
2.1 KiB
Python

"""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)