coreason-connect
Project description
coreason-connect
The secure execution gateway for the CoReason ecosystem.
coreason-connect transforms the CoReason "Brain" (coreason-cortex) from a passive text generator into an active Agentic Workforce. It solves the "Last Mile" problem of Enterprise AI by securely executing actions (RPC) on behalf of specific human users.
Installation
pip install coreason-connect
Note: For dependency management, we recommend using a virtual environment or tools like Poetry.
Features
- MCP-First Architecture: Implements the Model Context Protocol (MCP) as the universal interface for forward compatibility with any Agentic Framework.
- Dynamic Plugin Loading: Supports a "Glass Box" architecture where plugins are hot-loaded from local paths, ensuring isolation and security.
- Delegated Identity: Uses RFC 8693 patterns to exchange workload identity for specific user tokens, preserving the Chain of Custody in audit logs.
- Transactional Safety: Includes a "Spend Gate" that automatically suspends
is_consequential: trueactions (like purchases) until human approval is granted. - Extensible Modules: Built-in support and examples for:
- Scientific Operations: Searching and purchasing literature (e.g., RightFind).
- Productivity: Managing Microsoft 365 calendar and emails.
- DevOps: Self-healing code via GitOps workflows.
For detailed requirements and architecture, see Product Requirements.
Usage
Here is a simple example of how to initialize the server and load plugins:
import asyncio
from coreason_connect.server import CoreasonConnectServer
from coreason_connect.config import AppConfig
async def main():
# Initialize configuration (looks for connectors.yaml by default or env vars)
config = AppConfig()
# Create the server instance
server = CoreasonConnectServer(config)
# Start the server (this initializes plugins and the MCP server)
# In a real deployment, this would likely run indefinitely or attach to a transport.
await server.initialize()
print("Coreason Connect Server initialized.")
# Example: Listing available tools
tools = await server.list_tools()
for tool in tools:
print(f"Tool: {tool.name} - {tool.description}")
if __name__ == "__main__":
asyncio.run(main())
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