LlamaIndex

"""A LlamaIndex FunctionAgent with the customer's memory and the history tools."""

import asyncio

from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

from niadra import AsyncNiadra, phone
from niadra.integrations.llamaindex import NiadraMemory, history_tools

niadra = AsyncNiadra(channel="chat")


async def main() -> None:
    conversation = niadra.conversation("thread-81", subject=phone("+5511912345678"))
    agent = FunctionAgent(
        llm=OpenAI(model="gpt-4.1"), system_prompt="You are Acme's agent.", tools=history_tools(conversation)
    )
    print(await agent.run("Where is my replacement lid?", memory=NiadraMemory(conversation)))
    await niadra.close()


asyncio.run(main())

import { agent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";
import { Niadra, handles } from "@niadra/sdk";
import { NiadraMemory, niadraTools } from "@niadra/sdk/llamaindex";

const niadra = new Niadra();
const convo = niadra.conversation({ subject: handles.appUserId(user.id), channel: "web_chat", conversation_id: chatId });
const support = agent({
  llm: openai({ model: "gpt-4.1" }),
  systemPrompt: "You are Acme's support agent.",
  tools: niadraTools(convo),
  memory: new NiadraMemory(convo),
});
const result = await support.run("Where is my replacement?");