langgraph/examples/cloud_examples/rollback_concurrent.ipynb

Rollback

There are several strategies for handling concurrent runs in your graph. This notebook covers how to use the rollback option - please see the other how-to guides in the "Double Texting" directory to learn about the other methods.

First, let's import our required packages and instantiate our client, assistant, and thread.

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import asyncio

import httpx
from langchain_core.messages import convert_to_messages
from langgraph_sdk import get_client

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client = get_client()
assistant = await client.assistants.create("agent")
thread = await client.threads.create()

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# the first run will be interrupted
rolled_back_run = await client.runs.create(
    thread["thread_id"],
    assistant["assistant_id"],
    input={"messages": [{"role": "human", "content": "what's the weather in sf?"}]},
)
await asyncio.sleep(2)
run = await client.runs.create(
    thread["thread_id"],
    assistant["assistant_id"],
    input={"messages": [{"role": "human", "content": "what's the weather in nyc?"}]},
    multitask_strategy="rollback",
)

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# wait until the second run completes
await client.runs.join(thread["thread_id"], run["run_id"])

We can see that the thread has data only from the second run

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state = await client.threads.get_state(thread["thread_id"])

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for m in convert_to_messages(state["values"]["messages"]):
    m.pretty_print()

================================ Human Message =================================

what's the weather in nyc?
================================== Ai Message ==================================

[{'id': 'toolu_01JzPqefao1gxwajHQ3Yh3JD', 'input': {'query': 'weather in nyc'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
Tool Calls:
  tavily_search_results_json (toolu_01JzPqefao1gxwajHQ3Yh3JD)
 Call ID: toolu_01JzPqefao1gxwajHQ3Yh3JD
  Args:
    query: weather in nyc
================================= Tool Message =================================
Name: tavily_search_results_json

[{"url": "https://www.weatherapi.com/", "content": "{'location': {'name': 'New York', 'region': 'New York', 'country': 'United States of America', 'lat': 40.71, 'lon': -74.01, 'tz_id': 'America/New_York', 'localtime_epoch': 1718734479, 'localtime': '2024-06-18 14:14'}, 'current': {'last_updated_epoch': 1718733600, 'last_updated': '2024-06-18 14:00', 'temp_c': 29.4, 'temp_f': 84.9, 'is_day': 1, 'condition': {'text': 'Sunny', 'icon': '//cdn.weatherapi.com/weather/64x64/day/113.png', 'code': 1000}, 'wind_mph': 2.2, 'wind_kph': 3.6, 'wind_degree': 158, 'wind_dir': 'SSE', 'pressure_mb': 1025.0, 'pressure_in': 30.26, 'precip_mm': 0.0, 'precip_in': 0.0, 'humidity': 63, 'cloud': 0, 'feelslike_c': 31.3, 'feelslike_f': 88.3, 'windchill_c': 28.3, 'windchill_f': 82.9, 'heatindex_c': 29.6, 'heatindex_f': 85.3, 'dewpoint_c': 18.4, 'dewpoint_f': 65.2, 'vis_km': 16.0, 'vis_miles': 9.0, 'uv': 7.0, 'gust_mph': 16.5, 'gust_kph': 26.5}}"}]
================================== Ai Message ==================================

The weather API results show that the current weather in New York City is sunny with a temperature of around 85°F (29°C). The wind is light at around 2-3 mph from the south-southeast. Overall it looks like a nice sunny summer day in NYC.

Verify that the original, rolled back run was deleted

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try:
    await client.runs.get(thread["thread_id"], rolled_back_run["run_id"])
except httpx.HTTPStatusError as _:
    print("Original run was correctly deleted")

Original run was correctly deleted