Code Style¶

def process_conversation_message(
    message: str,
    user_id: str,
    org_id: str,
    tone: str = "natural"
) -> ConversationResponse:
    """
    Process a conversation message through the multi-agent system.

    Args:
        message: The user's message content
        user_id: Unique identifier for the user
        org_id: Organization identifier
        tone: Response tone preference

    Returns:
        ConversationResponse with the processed result

    Raises:
        ValidationError: If message format is invalid
        ProcessingError: If message processing fails
    """
    # Implementation here
    pass

class PluginManager:
    """Manages plugin discovery, loading, and lifecycle."""

    def __init__(self, config: PluginConfig):
        """Initialize the plugin manager with configuration."""
        self.config = config
        self._plugins: Dict[str, PluginBundle] = {}
        self._initialized = False

    def discover_plugins(self) -> List[PluginBundle]:
        """
        Discover available plugins from configured sources.

        Returns:
            List of discovered plugin bundles

        Raises:
            DiscoveryError: If plugin discovery fails
        """
        # Implementation here
        pass

# Standard library imports
import asyncio
import logging
from typing import Dict, List, Optional

# Third-party imports
from fastapi import APIRouter, Depends
from pydantic import BaseModel

# Local imports
from cadence.core.services import PluginManager
from cadence.domain.models import Conversation
from cadence.infrastructure.database import DatabaseFactory

def load_plugin(plugin_path: str) -> PluginBundle:
    """Load a plugin from the specified path."""
    try:
        plugin_module = importlib.import_module(plugin_path)
        plugin_class = getattr(plugin_module, "Plugin")
        return PluginBundle(plugin_class())
    except ImportError as e:
        logger.error(f"Failed to import plugin from {plugin_path}: {e}")
        raise PluginLoadError(f"Could not import plugin: {e}") from e
    except AttributeError as e:
        logger.error(f"Plugin {plugin_path} missing required Plugin class: {e}")
        raise PluginLoadError(f"Invalid plugin structure: {e}") from e

from typing import Dict, List, Optional, Union, Any
from typing_extensions import TypedDict

class PluginMetadata(TypedDict):
    """Plugin metadata structure."""
    name: str
    version: str
    description: str
    capabilities: List[str]
    llm_requirements: Dict[str, Any]

def get_plugin_info(plugin_id: str) -> Optional[PluginMetadata]:
    """Get plugin information by ID."""
    # Implementation here
    pass

async def process_async_operation(
    data: List[Dict[str, Any]],
    callback: Optional[callable] = None
) -> Union[Dict[str, Any], None]:
    """Process data asynchronously with optional callback."""
    # Implementation here
    pass