​
Simple Agents with existing Agent Frameworks

Choose this approach when you want to leverage existing agent frameworks with added xpander.ai capabilities like state management, authentication, and enhanced tools.

query = "Hello, world! You are AI Agent with State managed by xpander.ai. You are now have access to more tools, authenticate users, and preserve state, return to tasks later"

smolagent = CodeAgent(
		    tools=[xpander_agent.get_tools("smolagents")],
		    model=LiteLLMModel(model_id=xpander.get_model()),
		)
smolagent.memory = xpander_agent.get_memory(agent.to_dict())
result = smolagent.run(query)
xpander_agent.send_result(result)

​
Event streaming (Slack, Teams, RestAPI, Realtime voice)

def handle_event(event):
		smolagent = CodeAgent(
		    tools=[xpander_agent.get_tools("smolagents")],
		    model=LiteLLMModel(model_id=xpander.get_model()),
		)
		smolagent.memory = xpander_agent.get_memory(agent.to_dict())
    result = smolagent.run(event.payload)
    xpander_agent.send_result(result)

xpander_agent.start_event_listener()

​
Next Steps

Add Voice & Chat Interfaces

Add voice, chat and other human-machine interfaces to your agents

Manage Multi-User State

Learn how to handle state across multiple users and sessions

Manage Agent Memory

Configure and manage memory state between your AI agents

Add User Authentication

Implement secure user authentication for your agents

Previous
Import Existing Agents
Next