mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-20 22:52:29 +02:00
133 lines
3.6 KiB
Plaintext
133 lines
3.6 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Cron Jobs\n",
|
|
"\n",
|
|
"Sometimes you don't want to run your graph based on user interaction, but rather you would like to schedule your graph to run on a schedule - for example if you wish for your graph to compose and send out a weekly email of to-dos for your team. LangGraph Cloud allows you to do this without having to write your own script by using the `Crons` client. To schedule a graph job, you need to pass a [cron expression](https://crontab.cronhub.io/) to inform the client when you want to run the graph. `Cron` jobs are run in the background and do not interfere with normal invocations of the graph.\n",
|
|
"\n",
|
|
"## Setup\n",
|
|
"\n",
|
|
"First, let's setup our SDK client, assistant, and thread:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 110,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from langgraph_sdk import get_client\n",
|
|
"\n",
|
|
"client = get_client()\n",
|
|
"assistants = await client.assistants.search()\n",
|
|
"assistants = [a for a in assistants if not a[\"config\"]]\n",
|
|
"assistant = assistants[0]\n",
|
|
"thread = await client.threads.create()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Cron job on a thread \n",
|
|
"\n",
|
|
"To create a cron job associated with a specific thread, you can write:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# This schedules a job to run at 15:27 (3:27PM) every day\n",
|
|
"cron_1 = await client.crons.create_for_thread(\n",
|
|
" thread[\"thread_id\"],\n",
|
|
" assistant[\"assistant_id\"],\n",
|
|
" schedule=\"27 15 * * *\",\n",
|
|
" input={\"messages\": [{\"role\": \"user\", \"content\": \"What time is it?\"}]},\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Note that it is **very** important to delete `Cron` jobs that are no longer useful. Otherwise you could rack up unwanted API charges to the LLM! You can delete a `Cron` job using the following code:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"await client.crons.delete(cron_1[\"cron_id\"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Cron job stateless\n",
|
|
"\n",
|
|
"You can also create stateless cron jobs by using the following code:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# This schedules a job to run at 15:27 (3:27PM) every day\n",
|
|
"cron_2 = await client.crons.create(\n",
|
|
" assistant[\"assistant_id\"],\n",
|
|
" schedule=\"27 15 * * *\",\n",
|
|
" input={\"messages\": [{\"role\": \"user\", \"content\": \"What time is it?\"}]},\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Again, remember to delete your job once you are done with it!"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"await client.crons.delete(cron_2[\"cron_id\"])"
|
|
]
|
|
}
|
|
],
|
|
"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": "3.11.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|