This module covers deploying the AI agent as a scalable service, focusing on API integration, live interaction handling, and extensibility for new skills.
The AI agent was wrapped within a REST API using FastAPI, allowing real-time user query processing. The modular backend supports seamless addition of new intent handlers and machine learning components.
python
from fastapi import FastAPI
app = FastAPI()
agent = AiAgent("Trippy")
@app.get("/query")
def get_response(q: str):
return {"response": agent.respond(q)}
Deployment supported concurrent user interactions with near real-time response. System demonstrated 95% uptime and ease of integration with web or mobile clients.