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="insurance_corp")
runtime = Symvion(config=config)
runtime.register_agent({
"name": "claim_processor",
"description": "Processes basic insurance claims",
"system_prompt": "You are a claim processor. Summarize the user's claim.",
"input_schema": {
"type": "object",
"properties": {"claim_text": {"type": "string"}}
},
"output_schema": {
"type": "object",
"properties": {"summary": {"type": "string"}, "is_valid": {"type": "boolean"}}
},
"tools": []
})
response = await runtime.chat(
tenant="insurance_corp",
agent_name="claim_processor",
payload_data={"claim_text": "I crashed my car on the highway"}
)
print("Response:")
print(response)
if __name__ == "__main__":
asyncio.run(main())
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