dataflow.server_management¶

Server management framework for Haive.

This module provides a generic, type-safe server management framework using Pydantic models and validation. It serves as the foundation for managing various types of servers (MCP, HAP, Docker, etc.) across the Haive ecosystem.

Key Features: - Generic base classes with full type safety - Pydantic validation for all configurations - Extensible architecture for different server types - Smart defaults and auto-configuration - Comprehensive error handling with clear messages

Example

Basic usage with MCP servers:

from haive.dataflow.server_management import BaseServerManager
from haive.mcp.servers import MCPServerConfig, MCPServerInfo

class MCPServerManager(BaseServerManager[MCPServerConfig, MCPServerInfo]):
    config_class = Field(default=MCPServerConfig, exclude=True)
    info_class = Field(default=MCPServerInfo, exclude=True)

    async def start_server(self, name: str, config: Optional[MCPServerConfig] = None) -> MCPServerInfo:
        # Implementation
        pass

dataflow.server_management¶

Submodules¶