Example: Per user logic using per request modifier (#368)

Add an example that shows how to implement per user logic using per request modifier.
langchain-ai · Jan 4, 2024 · 6ab86af · 6ab86af
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diff --git a/examples/auth/per_req_config_modifier/client.ipynb b/examples/auth/per_req_config_modifier/client.ipynb
@@ -0,0 +1,207 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Client\n",
+    "\n",
+    "This is an example client that interacts with the server that has \"auth\".\n",
+    "\n",
+    "Please reference appropriate documentation in the server code and in FastAPI to actually make this secure."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Login as Alice"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "\n",
+    "response = requests.post(\"http://localhost:8000/token\", data={\"username\": \"alice\", \"password\": \"secret1\"})\n",
+    "result = response.json()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "token = result['access_token']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "inputs = {\"input\": \"hello\"}\n",
+    "response = requests.post(\"http://localhost:8000/invoke\", \n",
+    "    json={\n",
+    "        'input': 'hello',\n",
+    "    },\n",
+    "    headers={\n",
+    "        'Authorization': f\"Bearer {token}\"\n",
+    "    }\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'output': [{'page_content': 'cats like mice',\n",
+       "   'metadata': {'owner_id': 'alice'},\n",
+       "   'type': 'Document'},\n",
+       "  {'page_content': 'cats like cheese',\n",
+       "   'metadata': {'owner_id': 'alice'},\n",
+       "   'type': 'Document'}],\n",
+       " 'callback_events': [],\n",
+       " 'metadata': {'run_id': '00000000-0000-0000-0000-000000000000'}}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "response.json()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "You can also interact with this via the RemoteRunnable interface (to use in other chains)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from langserve import RemoteRunnable\n",
+    "\n",
+    "remote_runnable = RemoteRunnable(\"http://localhost:8000/\", headers={\"Authorization\": f\"Bearer {token}\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Document(page_content='cats like mice', metadata={'owner_id': 'alice'}),\n",
+       " Document(page_content='cats like cheese', metadata={'owner_id': 'alice'})]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "await remote_runnable.ainvoke(\"cat\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Login as John"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "\n",
+    "response = requests.post(\"http://localhost:8000/token\", data={\"username\": \"john\", \"password\": \"secret2\"})\n",
+    "token = response.json()['access_token']\n",
+    "remote_runnable = RemoteRunnable(\"http://localhost:8000/\", headers={\"Authorization\": f\"Bearer {token}\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Document(page_content='i like walks by the ocean', metadata={'owner_id': 'john'}),\n",
+       " Document(page_content='dogs like sticks', metadata={'owner_id': 'john'}),\n",
+       " Document(page_content='my favorite food is cheese', metadata={'owner_id': 'john'})]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "await remote_runnable.ainvoke(\"water\")"
+   ]
+  }
+ ],
+ "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": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}