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langchain/docs/modules/memory/examples/postgres_chat_message_histo...

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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"id": "91c6a7ef",
"metadata": {},
"source": [
"# Postgres Chat Message History\n",
"\n",
"This notebook goes over how to use Postgres to store chat message history."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d15e3302",
"metadata": {},
"outputs": [],
"source": [
"from langchain.memory import PostgresChatMessageHistory\n",
"\n",
"history = PostgresChatMessageHistory(connection_string=\"postgresql://postgres:mypassword@localhost/chat_history\", session_id=\"foo\")\n",
"\n",
"history.add_user_message(\"hi!\")\n",
"\n",
"history.add_ai_message(\"whats up?\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "64fc465e",
"metadata": {},
"outputs": [],
"source": [
"history.messages"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
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