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Multi-tenant AI orchestration framework powered by LangGraph.

Project description

Symvion AI Runtime

A multi-tenant AI orchestration framework powered by LangGraph.

Core Capabilities

Symvion provides a clean, modular Python package that supports:

  • Multi-tenant orchestration with isolated contexts
  • Dynamic agent registration via APIs (stating payloads and expected responses schemas)
  • Abstracted Tool/function calling
  • Observability hooks and state routing via LangGraph

Installation

# From the repository root
pip install -e .

Example Usage

import asyncio
from symvion import Symvion, TenantConfig

async def main():
    config = TenantConfig(tenant_id="acme_corp")
    runtime = Symvion(config=config)
    
    runtime.register_agent({
        "name": "task_orchestrator",
        "description": "Orchestrates general tasks and queries",
        "system_prompt": "You are a helpful task orchestrator. Help the user with their request.",
        "input_schema": {
            "type": "object",
            "properties": {"task_description": {"type": "string"}}
        },
        "output_schema": {
            "type": "object",
            "properties": {"action_plan": {"type": "string"}, "is_complete": {"type": "boolean"}}
        },
        "tools": []
    })
    
    response = await runtime.chat(
        tenant="acme_corp",
        agent_name="task_orchestrator",
        payload_data={"task_description": "Organize my daily schedule and send notifications."}
    )
    print("Response:")
    print(response)

if __name__ == "__main__":
    asyncio.run(main())

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