langchain/templates/llama2-functions/llama2-functions.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "9faf648c-541e-4368-82a8-96287dbf34de",
   "metadata": {},
   "source": [
    "## Run Template\n",
    "\n",
    "In `server.py`, set -\n",
    "```\n",
    "add_routes(app, chain_ext, path=\"/llama2_functions\")\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2dfe28bb-6112-459b-a77d-013964b65409",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langserve.client import RemoteRunnable\n",
    "\n",
    "llama2_function = RemoteRunnable(\"http://0.0.0.0:8001/llama2_functions\")\n",
    "llama2_function.invoke({\"question\": \"How does agent memory work?\"})"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}